Cstone Pharmaceuticals Stock price
Is Cstone Pharmaceuticals a Top Scorer Stock based on the Dividend, High-Growth-Investing or Leverman Strategy?
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Key metrics
📘 Market Capitalization
📈 What is it?
Market capitalization shows how much a company is currently worth on the stock market.
🧮 How is it calculated?
🏛️ Why is it important?
It helps classify companies by size (Large, Mid, Small Cap) and indicates their market presence and relative stability.
🧮 Calculation
🎯 What does this mean for investors?
- Large-cap companies tend to be more stable, often pay dividends, but may grow more slowly.
- Smaller firms may offer higher growth potential but come with more volatility.
- Market capitalization is a useful indicator of company size — but not a measure of whether a stock is undervalued or overvalued.
📘 Enterprise Value (EV)
📈 What is it?
Enterprise Value represents the total cost to acquire a company — including its debt and excluding its cash reserves.
🧮 How is it calculated?
(= Market Cap + Net Debt)
🏛️ Why is it important?
EV gives a more complete picture of a company's value than market cap alone and is used in key valuation ratios like EV/FCF or EV/Sales.
🧮 Calculation
🎯 What does this mean for investors?
- Enterprise Value shows the true cost of buying a company, including all financial obligations.
- It is more accurate than just looking at market cap, especially when comparing companies with different levels of debt or cash.
- Professional investors prefer EV-based multiples because they better reflect the company’s full financial footprint.
📘 Net Debt
📈 What is it?
Net Debt shows how much debt remains after subtracting a company’s available cash reserves.
🧮 How is it calculated?
🏛️ Why is it important?
It indicates how dependent a company is on borrowed money and how easily it can service its debt in the short term.
🧮 Calculation
🎯 What does this mean for investors?
- Low or negative net debt signals financial strength and flexibility.
- Companies with strong cash positions are better positioned in crises.
- High net debt increases financial risk — especially in environments with rising interest rates or economic downturns.
📘 Cash
📈 What is it?
Cash represents all liquid assets a company can access immediately — including cash, bank deposits, and short-term investments.
🧮 How is it calculated?
🏛️ Why is it important?
It reflects a company’s financial flexibility and resilience — enabling investments, buybacks, or buffer in downturns.
🧮 Calculation
🎯 What does this mean for investors?
- A strong cash position means greater room for maneuver and crisis resistance.
- Cash-rich companies can invest, pay down debt, or repurchase shares.
- But excess idle cash might indicate a lack of growth opportunities.
📘 Shares Outstanding
📈 What is it?
Shares outstanding represent the total number of a company’s shares currently held by investors — excluding treasury stock.
🧮 How is it calculated?
🏛️ Why is it important?
It’s the basis for key metrics like Earnings Per Share (EPS), Market Capitalization, or the Price/Earnings ratio (P/E).
🧮 Calculation
🎯 What does this mean for investors?
- Fewer shares in circulation typically increase earnings per share — making each share more valuable.
- Share buybacks reduce the number of shares and boost per-share metrics.
- Issuing new shares does the opposite — diluting shareholder value and lowering per-share figures.
📘 Price-to-Earnings Ratio (P/E)
📈 What is it?
The P/E ratio shows how many times a company's earnings per share are reflected in its current share price — in other words, how "expensive" the stock appears relative to its profits.
🧮 How is it calculated?
🏛️ Why is it important?
The P/E ratio is one of the most widely used valuation metrics. It helps investors assess whether a stock appears cheap or expensive compared to its earnings power.
🧮 Calculation
📊 P/E (TTM) = Based on earnings from the last 12 months (Trailing Twelve Months):🎯 What does this mean for investors?
- A low P/E may indicate undervaluation — or signal underlying issues.
- A high P/E may reflect strong growth expectations — or an overvalued stock.
📘 Price-to-Sales Ratio (P/S)
📈 What is it?
The P/S ratio shows how much investors are paying for $1 of the company’s revenue – regardless of profitability.
🧮 How is it calculated?
🏛️ Why is it important?
P/S is especially useful for evaluating growth companies or businesses not yet profitable. It reflects how the market values the company’s sales.
🧮 Calculation
Market Cap = HK$8.18b | Revenue (TTM) = HK$315.68m
Market Cap = HK$8.18b | Estimated Revenue = HK$578.81m
🎯 What does this mean for investors?
- A low P/S may indicate undervaluation — or low profitability.
- A high P/S can reflect strong growth expectations — or excessive optimism.
- Especially helpful when evaluating companies where profits are low, volatile, or negative.
📘 Enterprise Value to Sales (EV/Sales)
📈 What is it?
EV/Sales shows how much investors are paying for $1 of revenue — considering not just equity, but also debt and cash. It’s the capital structure–adjusted version of the P/S ratio.
🧮 How is it calculated?
🏛️ Why is it important?
It’s ideal for comparing companies with different levels of debt. It reflects a company's true cost relative to its revenue.
🧮 Calculation
Enterprise Value = HK$7.51b | Revenue (TTM) = HK$315.68m
Enterprise Value = HK$7.51b | Forward Revenue = HK$578.81m
🎯 What does this mean for investors?
- EV/Sales allows for capital structure–neutral company comparisons.
- A lower ratio may indicate undervaluation; a higher one may signal strong growth expectations or overvaluation.
- Especially helpful when evaluating high-growth companies with low or negative earnings.
📘 Enterprise Value to Free Cash Flow (EV/FCF)
📈 What is it?
EV/FCF shows how many years it would take for a company to "pay back" its enterprise value using its free cash flow.
🧮 How is it calculated?
🏛️ Why is it important?
It focuses on real cash generation, ignoring accounting noise — ideal for assessing profitability and value based on liquidity, not earnings.
🧮 Calculation
🎯 What does this mean for investors?
- A low EV/FCF may signal undervaluation and strong cash generation.
- A high EV/FCF might reflect weak recent cash flow or aggressive growth expectations.
- Best suited for stable, mature businesses with predictable free cash flows.
📘 Price-to-Book Ratio (P/B)
📈 What is it?
The P/B ratio compares a company’s market value to its book value — showing how much investors are paying for each dollar of net assets.
🧮 How is it calculated?
🏛️ Why is it important?
P/B is commonly used for asset-heavy industries like banks or industrials. It helps assess whether a stock is trading above or below its net asset value.
🧮 Calculation
🎯 What does this mean for investors?
- A P/B below 1 may signal undervaluation — or weak profitability.
- A P/B above 1 implies the market expects future value creation (e.g., brand, IP, growth).
- Best used for companies with tangible assets and strong balance sheets.
📘 Equity Ratio
📈 What is it?
The equity ratio indicates what portion of a company’s total assets is financed by shareholders’ equity – in other words, how much it relies on its own capital.
🧮 How is it calculated?
🏛️ Why is it important?
A high equity ratio reflects financial strength and stability, especially during downturns. It’s a key indicator of a company’s solvency and long-term risk profile.
🧮 Calculation
🎯 What does this mean for investors?
- Companies with high equity ratios are generally more resilient and less dependent on external debt.
- Low equity ratios can signal higher risk or aggressive financial strategies.
- Important: Always assess the equity ratio in combination with the return on equity (ROE). This shows not just how stable the company is – but also how efficiently it uses shareholder capital.
📘 Return on Equity (ROE)
📈 What is it?
Return on equity (ROE) shows how efficiently a company uses its shareholders’ equity to generate profit. In other words: how much net income is earned per dollar of equity.
🧮 How is it calculated?
🏛️ Why is it important?
ROE is a core profitability metric. It helps investors understand whether a company delivers attractive returns on the capital provided by its shareholders.
🧮 Calculation
🎯 What does this mean for investors?
- A high ROE indicates that the company is using its capital efficiently and profitably.
- It’s especially meaningful for capital-intensive businesses or firms with high equity bases.
- Important: A very high ROE can also result from high debt levels – always interpret it alongside the equity ratio to assess financial health.
📘 Return on Capital Employed (ROCE)
📈 What is it?
ROCE measures how efficiently a company generates profits from its total capital – including both equity and interest-bearing debt.
🧮 How is it calculated?
It evaluates the return on all capital employed, regardless of how it’s financed.
🏛️ Why is it important?
ROCE is ideal for comparing companies with different financing structures. It shows how well management uses capital to create value for both shareholders and creditors.
🧮 Calculation
🎯 What does this mean for investors?
- A high ROCE means the company uses its capital efficiently – regardless of whether it's funded by debt or equity.
- The higher the ROCE compared to peers, the more value the company creates with its invested capital.
- Especially relevant for capital-intensive sectors like industrials, energy, or infrastructure.
📘 Return on Invested Capital (ROIC)
📈 What is it?
ROIC measures how efficiently a company generates returns from the capital invested in its core operations – regardless of whether the capital comes from equity or debt.
🧮 How is it calculated?
- NOPAT = Net Operating Profit After Taxes
- Invested Capital = Operating assets minus non-interest-bearing liabilities
🏛️ Why is it important?
ROIC is one of the most accurate indicators of capital efficiency. Unlike return on equity, it is not distorted by leverage and shows how much value is created for all capital providers.
🧮 Calculation
🎯 What does this mean for investors?
- A high ROIC shows how effectively a company uses the capital that is truly invested in its core operations.
- Unlike ROCE, ROIC focuses only on the capital that is actively used to run the business – and that requires a return (i.e. interest-bearing).
- Especially useful when comparing companies with large amounts of excess cash or non-interest-bearing liabilities – giving a more realistic picture of capital efficiency.
📘 Leverage Ratio (Debt-to-Equity)
📈 What is it?
The leverage ratio indicates how much a company relies on interest-bearing debt (such as loans and bonds) relative to its shareholders’ equity.
🧮 How is it calculated?
🏛️ Why is it important?
This ratio helps assess a company’s financial structure and risk profile. High leverage can enhance returns – but also increases exposure to interest rate changes and financial stress.
🧮 Calculation
🎯 What does this mean for investors?
- A low leverage ratio signals financial strength and independence.
- A higher ratio can improve returns in good times but increases risk during downturns or rising interest rate periods.
- 👉 Always interpret in the context of industry, capital intensity, and interest rate environment.
📘 Revenue
📈 What is it?
Revenue shows how much a company earns in total from selling its products and services – the gross income before any costs are deducted.
🧮 How is it calculated?
🏛️ Why is it important?
Revenue is one of the key figures to assess a company’s size, market position, and growth potential.
🧮 Calculation
🎯 What does this mean for investors?
- Growing revenue indicates rising demand and can be an early signal of future earnings growth.
- Comparing actual and expected revenue reveals trends in the market environment and analyst sentiment.
- Note: Strong revenue alone isn’t enough – margins and profitability matter just as much.
📘 EBITDA
📈 What is it?
EBITDA stands for “Earnings Before Interest, Taxes, Depreciation, and Amortization.” It reflects a company’s operating profit before the effects of financing, taxes, and accounting depreciation.
🧮 How is it calculated?
🏛️ Why is it important?
EBITDA is widely used to evaluate a company’s operating performance – especially across capital-intensive sectors or international comparisons.
🎯 What does this mean for investors?
- A high or growing EBITDA indicates strong operational profitability – independent of taxes, interest, or accounting methods.
- It’s especially useful for comparing companies across sectors or geographies.
- Important: EBITDA is not a net income figure – it excludes key costs like depreciation and interest.
📘 EBIT
📈 What is it?
EBIT stands for “Earnings Before Interest and Taxes.” It reflects a company’s operating profit after depreciation, but before interest and tax expenses.
🧮 How is it calculated?
🏛️ Why is it important?
EBIT is a core profitability metric that shows how well the company performs in its main business operations – independent of capital structure and tax environment.
🧮 Calculation
🎯 What does this mean for investors?
- A high EBIT indicates strong profitability from the company’s core business – before financial and tax effects.
- It allows better comparison between companies with different debt levels or tax structures.
- Compared to EBITDA, EBIT already accounts for depreciation and reflects capital intensity more clearly.
📘 Net Income
📈 What is it?
Net income is the company’s total profit – the amount left after all expenses, taxes, interest, and depreciation have been deducted.
🧮 How is it calculated?
🏛️ Why is it important?
Net income is the most comprehensive measure of a company’s profitability – showing how much actual profit remains after all business and financing costs.
🧮 Calculation
🎯 What does this mean for investors?
- Growing net income indicates that the company is managing all of its costs efficiently.
- It directly influences valuation metrics like P/E ratio and the company’s dividend capacity.
- Over time, net income trends reveal how resilient and profitable the business model really is.
📘 Free Cash Flow (FCF)
📈 What is it?
Free Cash Flow shows how much actual cash remains after a company covers its operating expenses and capital expenditures.
🧮 How is it calculated?
🏛️ Why is it important?
FCF reflects a company’s real financial strength – regardless of accounting profits. It shows how much flexibility a company has for dividends, share buybacks, or debt reduction.
🧮 Calculation
🎯 What does this mean for investors?
- High free cash flow means the company generates real, usable cash – independent of reported net income.
- It’s often the most reliable base for sustainable dividends and buybacks.
- Declining FCF can be an early warning sign – even when profits appear stable.
📘 Revenue Growth
📈 What is it?
Revenue growth shows how much a company’s sales have changed compared to the previous year – both on a trailing basis (TTM) and based on forward projections.
🧮 How is it calculated?
Forward = (Expected revenue ÷ Revenue in prior year − 1) × 100
Forward growth is based on analyst estimates for the current fiscal year.
🏛️ Why is it important?
Rising revenue signals growing demand, business expansion, and market share gains – especially important for growth-oriented companies.
🧮 Calculation
🎯 What does this mean for investors?
- Growth is the engine of long-term value creation – especially in tech and growth sectors.
- What matters is not just current growth, but its sustainability.
- Forward projections reflect whether analysts expect continued momentum – or a slowdown.
📘 EBITDA Growth
📈 What is it?
EBITDA growth shows how much a company’s operating profit (before interest, taxes, depreciation, and amortization) has increased or decreased compared to the previous year.
🧮 How is it calculated?
Forward = (Expected EBITDA ÷ EBITDA from prior year − 1) × 100
The forward estimate is based on analyst projections for the current fiscal year.
🏛️ Why is it important?
Growing EBITDA indicates improving operational profitability – regardless of financing or accounting effects.
🎯 What does this mean for investors?
- Strong EBITDA growth signals operational efficiency and scalability – especially during growth phases.
- EBITDA growth can be an early indicator of margin and earnings expansion – but should be assessed alongside revenue and EBIT.
📘 EBIT Growth
📈 What is it?
EBIT growth shows how much a company’s operating profit (after depreciation, but before interest and taxes) has increased compared to the previous year.
🧮 How is it calculated?
Forward = (Expected EBIT ÷ EBIT from prior year − 1) × 100
The forward estimate is based on analyst projections for the current fiscal year.
🏛️ Why is it important?
EBIT growth is a direct indicator of a company’s business performance – taking into account capital intensity through depreciation.
🧮 Calculation
🎯 What does this mean for investors?
- Rising EBIT signals improving operating profitability – even after accounting for depreciation.
- It’s especially important for evaluating companies with significant capital expenditures.
- Combined with revenue and EBITDA growth, EBIT growth provides a well-rounded view of operational progress.
📘 Net Income Growth
📈 What is it?
Net income growth shows how much a company’s bottom-line profit has increased or decreased compared to the previous year – both on a trailing basis (TTM) and based on analyst projections.
🧮 How is it calculated?
Forward = (Expected net income ÷ Net income from prior year − 1) × 100
The forward estimate reflects analysts’ expectations for the current fiscal year.
🏛️ Why is it important?
Net income is the ultimate measure of profitability. Growing net income signals stronger efficiency, cost control, and sustainable earnings power.
🧮 Calculation
🎯 What does this mean for investors?
- Stronger net income boosts valuation, dividend potential, and investor confidence.
- If profits stall while revenue grows, it may signal margin pressure.
📘 Free Cash Flow Growth
📈 What is it?
Free cash flow (FCF) growth shows how a company’s available cash – after covering operating expenses and capital expenditures – has changed compared to the previous year.
🧮 How is it calculated?
🏛️ Why is it important?
Free cash flow reflects real financial strength. Growing FCF indicates more flexibility for dividends, share buybacks, and reinvestment.
🧮 Calculation
🎯 What does this mean for investors?
- Declining FCF may point to rising investments, increasing costs, or weaker operating performance.
- Especially for dividend investors, FCF growth is critical – since dividends are paid from actual available cash.
- A negative trend isn't always bad, but it deserves closer attention.
📘 Gross Margin
📈 What is it?
Gross margin shows how much of a company’s revenue remains after deducting the direct costs of goods sold (like materials and production). It represents the company’s “raw profit” before fixed costs, taxes, and interest.
🧮 How is it calculated?
Or simply: Gross Margin = Gross Profit ÷ Revenue × 100
🏛️ Why is it important?
Gross margin indicates how efficiently a company can produce or procure what it sells. It is a key measure of product-level profitability and pricing power.
🧮 Calculation
🎯 What does this mean for investors?
- A high gross margin suggests strong pricing power and efficient production.
- Falling margins may signal rising input costs or competitive pressure.
- Compared to peers, gross margin offers insights into the quality of a business model.
📘 EBITDA Margin
📈 What is it?
The EBITDA margin shows how much of a company’s revenue remains as operating profit before interest, taxes, depreciation, and amortization.It reflects operating efficiency without being distorted by financing or accounting factors.
🧮 How is it calculated?
🏛️ Why is it important?
The EBITDA margin reveals how much operating income a company generates per dollar of revenue – independent of capital structure and tax effects.
🎯 What does this mean for investors?
- A high EBITDA margin reflects strong core profitability – before accounting distortions.
- It allows for effective comparisons across companies and sectors.
- A stable or growing margin signals efficient cost control and business scalability.
📘 EBIT Margin
📈 What is it?
The EBIT margin shows what percentage of revenue remains as operating profit after depreciation but before interest and taxes.
🧮 How is it calculated?
🏛️ Why is it important?
The EBIT margin reflects a company’s core profitability while accounting for capital intensity (e.g. machinery, infrastructure). It’s especially useful for comparing businesses with different levels of depreciation.
🧮 Calculation
🎯 What does this mean for investors?
- A high EBIT margin shows that the company remains efficient even after factoring in depreciation.
- It’s especially relevant for capital-intensive industries.
- Stable or rising EBIT margins over time are a strong indicator of pricing power and business quality.
📘 Net margin
📈 What is it?
Net margin shows how much of a company’s revenue remains as bottom-line profit after deducting all costs, interest, taxes, and depreciation.
🧮 How is it calculated?
🏛️ Why is it important?
Net margin reflects a company’s overall efficiency – across operations, financing, and taxation. It shows how much actual profit is generated from each dollar of revenue.
🧮 Calculation
🎯 What does this mean for investors?
- A high net margin means the company is not only strong operationally but also manages financing and taxes efficiently.
- Peer comparisons reveal business quality and competitiveness.
- Declining margins despite revenue growth can be a red flag for rising costs or inefficiencies.
📘 Free cash flow margin
📈 What is it?
The free cash flow (FCF) margin shows how much of a company’s revenue remains as actual free cash after covering all operating expenses and capital expenditures.
🧮 How is it calculated?
🏛️ Why is it important?
This margin reflects the true liquidity generated by the business – independent of accounting rules or depreciation. It’s especially relevant for dividends, buybacks, and reinvestment decisions.
🧮 Calculation
🎯 What does this mean for investors?
- A high FCF margin means a company consistently generates strong cash flow.
- It’s a positive signal for financial stability and shareholder returns.
- The long-term trend is key – a declining margin may indicate rising investments or weakening operating efficiency.
📘 Earnings per share (EPS)
📈 What is it?
Earnings per Share (EPS) shows how much profit is attributable to a single share – and is one of the most important metrics for evaluating a company's performance.
🧮 How is it calculated?
The diluted share count reflects potential new shares that could be issued through options, convertible bonds, or other rights.
🏛️ Why is it important?
EPS is the basis for many key valuation metrics like P/E ratio, PEG ratio, or payout ratio. It enables comparisons of profitability across companies, regardless of their size.
🧮 Calculation
🎯 What does this mean for investors?
- EPS captures per-share profitability and is especially useful for comparisons over time or with analyst estimates.
- Rising EPS may signal consistent growth or share buybacks.
- Important: Always use diluted EPS for more realistic valuations – especially in companies with stock-based compensation.
📘 Free cash flow per share (FCF per share)
📈 What is it?
Free Cash Flow per Share shows how much free cash flow a company generates per outstanding share – after investments, but before dividends or debt repayments.
🧮 How is it calculated?
Free cash flow is calculated as operating cash flow minus capital expenditures (CapEx).
🏛️ Why is it important?
FCF per Share reveals how much real cash is available per share – useful for dividends, buybacks, or reducing debt. Unlike net income, free cash flow is harder to manipulate and often seen as a more reliable metric.
🧮 Calculation
🎯 What does this mean for investors?
- High FCF per share signals strong financial flexibility.
- It shows how much capital the company can effectively reinvest or return to shareholders.
- Particularly relevant for dividend payers and capital-efficient businesses.
📘 Short interest
📈 What is it?
Short interest indicates how many shares of a company are currently sold short – that is, borrowed and sold by investors who expect the price to decline.
🧮 How is it calculated?
It reflects the percentage of a company’s shares that are being shorted relative to the total shares available.
🏛️ Why is it important?
Short interest serves as a sentiment indicator: A high value may signal skepticism or bearish expectations – but also increases the potential for a short squeeze if prices rise unexpectedly.
🎯 What does this mean for investors?
- Low short interest usually indicates market confidence in the company.
- High short interest can be a warning sign – or an opportunity if sentiment shifts.
- Especially relevant in volatile markets or ahead of key earnings releases.
📘 Employees
📈 What is it?
The employee count shows how many people a company employs worldwide – offering insights into its size, structure, and business model.
🧮 How is it calculated?
🏛️ Why is it important?
It helps assess operational scale, labor intensity, and cost structure. Combined with revenue and profit, it enables key metrics like revenue per employee or productivity.
🧮 Calculation
🎯 What does this mean for investors?
- A high headcount can signal operational complexity – but also significant growth capacity.
- Revenue per employee is a key indicator of efficiency.
- Especially useful for comparing tech, industrial, or service-heavy companies.
📘 Turnover per employee
📈 What is it?
Revenue per employee indicates how much revenue a company generates on average per employee – a key measure of efficiency and productivity.
🧮 How is it calculated?
The employee count is typically taken from the most recent annual report.
🏛️ Why is it important?
This metric helps compare business models – especially between labor-intensive and technology-driven companies. A high value suggests automation, operational efficiency, or strong value creation per head.
🧮 Calculation
🎯 What does this mean for investors?
- A high revenue per employee indicates a scalable and margin-strong business model.
- A low figure may reflect labor-intensive operations or lower value-add.
- Especially helpful when comparing tech companies to industrial or service sectors.
Cstone Pharmaceuticals Stock Analysis
Analyst Opinions
9 Analysts have issued a Cstone Pharmaceuticals forecast:
Analyst Opinions
9 Analysts have issued a Cstone Pharmaceuticals forecast:
Cstone Pharmaceuticals Events
Past Events
|
OCT
20
Special Call - CStone Pharmaceuticals
11 months ago
|
StocksGuide Free
Cstone Pharmaceuticals — Special Call - CStone Pharmaceuticals
1. Question Answer
So today, joined our call, including Jason Yang, CEO of the company; and also Niki Li, CFO of the company. This is Ziyi Chen, China health care analyst at Goldman Sachs. I'm going to be moderating the call.
Before we kick off the session, I would like to highlight that, this call is strictly for clients of Goldman Sachs and analysts only. And this conversation is not intended for the media and is off the record. Participants will be removed from the call if they cannot be properly identified. And this call is not for the purpose of sharing or receiving nonpublic otherwise confidential information. Attendees are public market participants who may not receive [indiscernible] request on public and otherwise confidential information about issuers or securities or about market securities.
So we already see the data coming out, abstract and also earlier today in the day, there has been a presentation.
So now I'm going to hand over the call to the management team to get started on the introduction of the data. Then we're going to potentially open the line for potential Q&A if you have any questions.
Jason, please.
Yes. So that's great. Thank you guys for calling the data interpretation, also a little bit of update and a little bit of perspective. We have been very happy with the data. I think for Phase I, we just want to look at 4 aspects. I think typically PK/PD safety and the preliminary antitumor activity in the Phase I background and also in reference to similar drugs, right? And I think we see many of the data meet our expectations and quite a few actually exceed my expectation based on the design. So I'm happy to share with you what I think of this data, and what's the next step.
Next slide, please. So this just shows you that we -- today, we talk about bispecifics, but we do have quite a few on the right side that will go into clinic next year. So we probably have 3 or 4 INDs next year. So we can talk to you guys later.
Next slide. Next slide. Yes. Just to remind you that why we are here today, right? So we designed this molecule 4 years ago. And really the driving force is that we need to have a second-generation IO backbone that not only have [indiscernible], but really, really has OS that can beat the current standard of care, right, PD-1, PD-L1 plus chemo or maybe plus something else. But the bottom line is the IO backbone has to be improved. We have tried all kind of things, right? So recently, we -- I mean, TIGIT is recent example, and they also tried 4-1BB. In early days, people tried [ TIM-3 and X3 ] and all kind of stuff, but that really did not improve upon PD-1. So it's not yet systematically be PD-1 plus chemo, right? So in the end, we realized that CTLA-4 really, really is the only molecule that add to PD-1 can improve OS further, right, anywhere from 5% to 12% over a year of 10 years. And in all those trials, CTLA only dosed 2 to 3 cycles because of toxicity. So now if I can make a molecule that contains CTLA-4 antibody, and it can be dosed together with PD-1 continuously for 1 or 2 years. So I would expect a lot more improvement of OS upon PD-1, right? This is because we know PD-1 does improve OS over standard of care. Now we want to improve OS upon PD-1 by adding CTLA-4.
Now the VEGF is very important. It's not only important because it has the anti-angiogenesis function. More importantly, as I will explain further, so in the tumor microenvironment, it can create a framework that's actually tracking PD-1, PD-L1 -- sorry, PD-1, CTLA-4 in the system to make it work much, much harder, okay? Now the problem, of course, has been how do you make CTLA-4 tolerable, right -- safe and tolerable. So this actually bring us back to [indiscernible] price in the past several years. The first one, of course, is the function of CTLA-4 -- discovery of CTLA-4 as a break immune checkpoint, right, that actually block CD28 from overactivation because that's the so-called immune second signal to stimulate by binding [ CTLA-4 ] binding to CD80, right? So that's the first [indiscernible]. The second one is this year's peripheral immune tolerance, really just to say why we can -- the normal human body does not attack our own tissue. So that's the peripheral immune tolerance and that Treg. Now the -- the TREG, function [indiscernible] is the same because CTLA-4 is blocking CD80 binding to CD28. So there's no overactivation either.
Okay, now the toxicity associated with CTLA-4 is actually coming from this tube. So on the right side, this tube, right? So your CTLA-4 antibody is so potent, it pull CTLA-4 from CD80 so that CD28 can get activated. Okay, so how can we generate or create a molecule that does not actually pull CTLA-4 from active T cell or Treg cell. Now if you look at CTLA-4, it's actually a dimer, right? And CD8 is a dimer. So essentially the binding is like a monlonal antibody. So that's a bent binding very, very tight, okay? Now so then we make an antibody that monovalent, only one arm of CTLA-4. So the affinity will much weaker around the 20 to 30 nanomol instead of a single or sub-nanomol, right? So in this case, it will not be able to pull CTLA-4 from CD80 in the peripheral. Okay, now in the tumor microenvironment, that's different because tumor microenvironment has T cells that get exhausted as they all express PD-1, right? And then tumor express PD-L1. So interact with PD-1 that actually suppress effector T cell. Now we have the trispecific antibody that also contains PD-1 antibody. So in this case, PD-1 and CTLA-4 will bind to both PD-1 and CTLA-4. So in this case, they could have driven enhancement of affinity, restore the binding affinity of PD-1 -- mono [indiscernible] PD-1 antibody and also more CTLA-4 antibody. So this kind of synergy make antibody works to your block PD-1 and CTLA-4 actions in the tumor microenvironment. And this action is further enhanced by the VEGF antibody [indiscernible] to the VEGF bind VEGF-A, which is a [indiscernible], so causing cross-linking [indiscernible] work and that will further enhance the PD-1 and CTLA-4 affinity by turning forward to [indiscernible]. So in this, the trispecific antibody working on 3 targets synergistically within the tumor microenvironment, working very, very hard. But in the [indiscernible] tissue, they are acting pretty flat, so not working so hard. So then we expect a lot of efficacy, but relatively low safety issues there. So that's good to see whether that we actually needed this goal.
All right. So we started Phase I trial March this year, and we finished enrollment of 72 patients really, really fast, okay? Because this is a dose escalation with back failure. So it's -- as you guys have been probably seeing a lot of trials, this is an unbelievable speed. Actually, we also started Phase II because with the data we have, we started Phase II already, and we expect to enroll treatment-naive non-small cell lung cancer by end of this month. And we should have enough data by mid of next year to start Phase III trial. So our plan is to engage U.S. FDA pretty soon for the Phase II expansion. And then by the middle of next year or Q3, we engage with FDA for the end of Phase II and the pre-Phase III negotiation so that we will have a dose and trial design and agree with U.S. FDA. Indication-wise, the most important is the chemo combo in first-line squamous, non-squamous non-small cell lung cancer. And then the other 2, one is in the second-line setting combined with docetaxel or something else against docetaxel. That should be a very easy win trial. That's post-IO, of course, because you will see post IO, the drug is working, our drug is working. So this will be a good indication to win. Of course, there is always the monotherapy in the first-line setting, whether we are going to do that or not, I think we will together make that decision with our partner because that's going to be a pretty challenging trial because enrollment, right, is not going to be easy. Okay, so this is our plan.
So now let me just show you the data from the dose escalation. Next slide. As I just mentioned, 72 patients, the median age is a typical Phase I patients. So it's pretty old patients. And the trial enrolled more than 55% of non-Asian, right, non-Chinese, let's say, mostly it's all active from Australia. So 54% are White. On the prior therapy also typical Phase I, so almost 40% of patients have 3 and above 3 prior therapy. And then prior IO, so 51% of patients have prior IO therapy. Some of those have multiple rounds of IO, including bispecific. So essentially, every patient that should be treated with IO has been treated with IO, and there's also off-label treatment with IO. Angiogenesis, same situation. So everyone that should be treated with VEGF has been treated and it is also off-label treatment. So the tumor type, non-small cell lung cancer is the most numerical patients because we focus on that. Even though a lot of those patients have not yet had a first tumor assessment, we only have 17 as you will see, but we enrolled 33 already.
Next slide. The first important readout for us is the safety, and that's also what our multinational company has been telling us. So they always said, if you can make this antibody work, we don't worry about efficacy, we worry about safety. So we -- if you look at the safety of the grade 3 and above TRAE, so right now, it's only 30.9% and the grade 3 immune-related TEAE, it's about 4.2%. We know this is a relatively short follow-up, but you also can tell that 20 milligram actually has been follow-up, 21 patients has been followed for quite a while since 3 to 4 months and 20 milligram per kg is not a low dose, it's pretty high dose. And also 1 to 10 milligram have quite a lot of those patients escalated from 1 to 3, from 3 to 10 and 10 to 20. So there has been quite a bit of up intra dose escalation to 20 milligrams. So you can see those data are much more mature.
As you know that [indiscernible] typically occur in week 4 to week 8, right? So I think for the dose 1 to dose 4, I think we pretty much all pass the day of week of 8, at least, right? So I think this safety looks -- even though it's immature, looks very, very attractive.
Next slide. This is just an easy way to visualize the safety, the most frequent AE. So on the right side, you can see very few grade 3 TRAE.
Next slide. So obviously, we want to look at relevant comparators, right? So in our case, we have a trispecific. So we definitely look at both PD-1 and CTLA-4 bispecific. PD-1 and PD-L1 plus CTLA-4 combo, CTLA-4 [indiscernible] and then PD-1, PD-L1, VEGF bispecific and the PD-1 monoclonal antibody. So if you just look at the Grade 3 TRAE and [ TRE ] leading to treatment discontinuation against all these classes, you can see right now, it's very, very favorable. We do expect it goes up, but we think that it will be similar. At worst, it will be similar as the PD-1 VEGF bispecific.
Next slide. So we also look at the RAE. So in this case, we look at any grade RAE as well as grade 3 RAE versus the same classes of molecules. Again, the frequency right now of RAE and the grade 3 RAE are very low. Again, I think even if the data mature, we will still be in a pretty safe places.
Next slide. So we're looking into the detail of frequent RAE, typically skin rash and the thyroid disorders and [ STLT, ] right? So there are real ones, but we are not seeing many real ones yet because the sample size is still small. But even if you look at the more frequent ones, right now is much lower than the PD-1, PD-L1, CTLA-4 bispecific or PD-1 plus CTLA-4 monoclonal combination. So it's -- right now, it's very good -- it's very well tolerated.
Next slide. This is actually interesting is to look at the VEGF related tox because we have the same VEGF that's from [indiscernible], right, bevacizumab as [indiscernible]. And also the [indiscernible] ratio is the same. A12 and [indiscernible] and both molecules are 200 [ kilo ] [indiscernible]. So we have the same moderation. So meaning that our 200 milligrams contain 15 milligrams of bevacizumab as [ AK112 ] does. But right now, of course, with a shorter follow-up, if you look at the 4 type of VEGF-related tox, the hypertension, proteinuria, hemorrhage and the symbol of embolism. Right now, it's very low. So we have 2 cases of hypotension, one case of proteinuria and one case of hemorrhage for a patient who have the oral, so that patient should not be enrolled, but it's enrolled into the 3 milligram per kg.
So in general, right now, the VEGF-related tox is really, really low. So this is -- we are very happy. So our investigator is also very happy because they think that hypertension they typically can manage, but sometimes proteinuria is a problem, especially grade 3, right, recurrent because you're losing essentially nutrition. So far so good for the VEGF-related tox.
Next slide. So PK, so typical a textbook like linear PK. So that means we don't have a lot of neutralizing AD antibody interfering with PK, or there's no target-mediated drug disposition. So it all looks good. Half-life is 6 to 8 days, similar to [ K1, ] similar to with 2, probably 1 day longer than [ AK112. ]
Next slide. The receptor occupancy in the peripheral T cells. So you can see that at 20 milligram, the blue line, we saturated the receptor occupancy and that situation also can be observed even before the second dose, so-called dose interval, right? So it's a cross dose interval. We still have more samples coming. So the 30 milligrams will have more longer follow-up. But overall, you can see from the blue line, which is 20 milligram is active, the receptor occupancy is constant. So that help us determine dose going forward. But this certainly is an underestimate of the receptor occupancy within the tumor microenvironment because this is a peripheral because in the [indiscernible], there's no synergy. And in the tumor microenvironment, there's a lot of synergy. So that binding will be much tighter.
Next slide. The pharmacodynamic biomarker, so the T cell proliferation as indicated by upregulation of Ki67 and also the CTLA-4 specific activation as suppression as indicated by ICOS. If you look at the top, the proliferation on CTLA-4 -- CTLA-4 proliferation essentially is driven by CTLA-4 blockade. So you can see a plateau at 10 milligram per kg, okay, against in the peripheral. And for Ki67 in CD8, that's contributed by both CTLA-4 blockade and PD-1 blockade, and you see also a plateau around 10 milligram going forward. ICOS also behaved similar at 10 milligram. So essentially 10 milligram it should work, and we see it works, right? But going forward, you always want to have a little bit of margin going forward, 20 or 30 milligram probably will be the right dose taken in Phase II.
The next slide. This is interesting. So this is the sero-free VEGF-A. You can see even at 1 milligram per kg, immediately post the dose, the sero-free VEGF-A dropped from about 500 to undetectable level before 10 [indiscernible], and it stayed that way. And that's true for 3 milligram per kg, 10 milligram per kg, 20, 30 milligram per kg. So this is actually very different from either AK112 or bevacizumab. In those case, the sero-free level actually jump up and down after dosing, right? So a lot of people are asking why this one behave differently, why the suppression is so much tighter. I think it's hard to explain the only way that I can explain this is because we've got 3 targets in the tumor microenvironment that cross-linking cause the VEGF actually track inside the tumor microenvironment. Your environment, say, does not come up that much. So that's the -- would be a reasonable explanation. But of course, there's no evidence to say that's true. But right now, there's no need to really know the mechanism. But as long as that we know the trispecific has definitely neutralized VEGF-A. So that's, again, is another way of proof of mechanism.
So next slide. Okay. So the [indiscernible] data, this is the cut for the ESMO poster. And just 1 week later.
Next slide. Just patient converted from ST SD at third tumor assessment to PR. So at 20 milligram per kg, right? So then dose-wise, it looks just -- it looks better. Essentially every dose, you got some response, right? But because the denominator is different, so the response rate actually as you go off the dose, it looks like there will be more response rate, but that will wait to see, right, data will mature further. I think important to see is that the disease control rate. Remember, all these patients come in with tumor progression. So if there's no drug -- if drug has no effect, the tumor will keep growing. So you will not see a lot of stable disease. And that's reflected in the disease control rate. So we have a 71.4% of disease control rate in this Phase I patient population. So that means the drug is actually working.
Next slide. Okay, right, so then we look into which tumors actually have reached a partial response level. So we have 17 patients from post-IO non-small cell lung cancer. So everyone has IO treatment and 41% has VEGF treatment. So the response rate is 17.6% and the disease control rate is 42.4%.
Now within these 17 patients, there are 5 patients who are EGFR or something else mutation. As you know, EGFR mutant non-small cell lung cancer does not respond to monotherapy of IO, so if we remove those 5 patients, and they are actually 3 out of 12, 25% and [ DCL ] reached 83.3%. Now this is a pure post-IO AGA active -- AGA negative non-small cell lung cancer. So this really support this drug will probably work better in both frontline and second line, right, because you are overcoming IO resistancy. If you remember EGFR TKI, the third-generation EGFR TKI are much better than first generation because it can overcome some of the resistant mechanism of first-generation EGFR TKI, okay? So this is you need to have this type of data to be confident you will be able to beat KEYTRUDA, for example, right, because those are PD-1. So right now, we know that our drug works post PD-1 like KEYTRUDA, and we actually have a lot of patients who have KEYTRUDA from Australia.
Then you look at ovarian cancer, relatively cold cancer, TNBC, relatively cold and NCC RCC, non-clear cell or renal cell carcinoma, relatively cold and the soft tissue sarcoma very cold. So the drug is working across this type of tumors look at disease control rate as well as response rate.
Next slide. So for the 17 non-small cell lung cancer, we look at the duration of treatment and also the timing of response. So if you look at the left side, the green one is 10 milligram. The 10 milligram, you have 2 patients that still are on treatment and another one is PR and the third tumor assessment, right? So it's coming a little bit slow, but it's still coming. That's also a typical of later-stage clinical trial. You don't see all response in the first tumor assessment, right? In first line, you see probably 75% of response in the first tumor assessment, remaining typically in the second tumor assessment. But in later line, the sensitivity is lower. So you see quite a few response coming later, okay? And also 10 milligram apparently not enough. So you have 3 patients progressed at 10 milligram. Now for 20 milligram, the more patients stay on treatment right now and also you have patient becoming a partial response at second tumor assessment. Now for 3 right now, we have 4 patients. So 1 patient progressed. So 3 patients, one of those patients had a tumor response at first tumor assessment. So again, we have a lot of other patients at 30 milligrams that have not had tumor assessment. So when those happens, we expect tumor response rate will go up more than probably 25%, okay?
On the right side, we're also showing you the each one has IO and then tumor type, squamous, non-squamous, both response, right, because there's quite a few non-squamous. So the safety is not an issue. And then the VEGF treatment, prior treatment and also the AGA mutation. And look, the AGA positive ones do not have partial response. So they do have some SD and also PDs for the patients. So the drug is still working in this population, just not as sensitive as [Audio Gap].
Next slide. So we look at all the 49 patients who have had at least 1 tumor assessment and looking for duration of disease control, right? So the first patient is a soft tissue sarcoma patients. The patient has a partial response at the second CT scan. The first CT scan has a 24% of tumor reduction. So we dose escalate patients from 1 milligram to 3 milligram and the patient has been on 3 milligram per kg as of today. So patients are still receiving treatment with a tumor reduction of more than 40%. These patients failed 3 lines of chemo before coming to the clinical trial. So I think this is really lucky for this patient because otherwise, there's no treatment, right, soft tissue sarcoma. So in the early doses is longer follow-up, you can see the disease control rate is pretty good, right? We're talking about 7, 8 months already for lower dose patients. Now for higher dose patients, there's a lot of patients still on treatment, right? The follow-up time is still short. But I think it's very promising for us to expect to see a pretty long PFS for this Phase I cohort patients when the data mature.
So next slide. Correct, So then we put all the data in perspective of relevant drugs with the Phase I trial data, right? So you can see you're all familiar with the Phase I molecules, right? They are relevant bispecific molecules, either bispecific VEGF or bispecific CTLA-4. So immediately, you can see that our trial has much higher prior IO therapy, and we have much shorter follow-up because we need to report data early for a lot of other purpose. And then disease control rate is much higher. And overall, it is very similar, right? But it's hard to compare because each trial enrolled different patients. Like AK112 Phase I enrolled quite a bit of ovarian cancer. So you got a 25.5 in that trial results. But for others, it's enrolled different patients. So it's hard to compare. But the DCR, it tells us a lot, okay, meaning that the drug our drug is working across different tumor type.
So next slide. So we are trying to do apple-to-apple comparison. So we pick up all the non-small cell lung cancer post IO patients from various trials from this molecule. So in our case, we already show you that out of 17, so we have partial response. If we get rid of AGA neck positive, the response to 35%. And the second column, that's a relatively new trial for [indiscernible] A4 plus VEGF biosimilar. It's a relevant trial because that's on a second line, pure second-line setting, 47 patients, and they are all AGA negative. I think this is a good trial design. So they definitely want to focus on AGA negative second line and trying to generate data potentially trying to head-to-head against docetaxel, right? Because you can only add to docetaxel, you already have 2 drugs that's going to have a lot of problem -- toxicity problem. I think with this 12.8% response, I think to trying to head against docetaxel has some challenge there. Whereas in our case, we can add to docetaxel, right, because we have a single drug that's much more and also much safer, so just talking about the going forward. And then you look at some other trials. So for example, the AK104 Phase Ib/II trial that has 23 patients. So those, again, are AGA negative or unknown. And in this case, it's line 2 and above. In this case, 23 patients have no response. And then the PM8002 trial, so that has 8 patients, that 8 patients, they are all AGA negative and the second line post IO, they have response, 62.5% disease control rate. So if you look at across this, you can probably appreciate that the trispecific antibody is probably going to do better in posted IO non-small cell lung cancer with or without an AGA mutation, okay? So this is actually good for us because we want this drug to work in first-line non-small cell lung cancer and also second-line non-small cell lung cancer in combo with chemo and KEYTRUDA with chemo. And ceritinib can also do a monotherapy, but I said that before, that's going to be a tough decision to make.
Next slide. Correct. Next slide is correct. So we see the Phase I data from our development molecule. When the Phase I data was [ wrong, ] people are probably not impressed with that first Phase I data, right? But when those molecules come into Phase II treatment naive either as monotherapy or come with chemo, the response rate is suddenly jump is getting much higher than a typical PD-1 or PD-1 plus chemo. Each one is slightly different because sample size and also baseline. But border line is the bispecific plus chemo or bispecific alone has a better response, better PFS than PD-1 plus chemo or PD-L1 alone, that's a given, that's a fact, okay, just like HARMONi-6 reported yesterday. And of course, the problem is that whether you will have OS, right? And we -- here, we fully expect that we will see similar or slightly higher response rate, longer PFS and much, much longer OS. And we truly expect that the CTLA-4 will add 10% of OS on top of PD-1, right? And then with the bispecific PD-1 VEGF that adds roughly 20% together, you can add about 30% of OS on top of PD-1 -- currently PD-1. So then you will be pretty safe to run Phase III trial. So that's the expectation going forward, okay?
So next slide. Right. So this is a summary of what I just said. I think the safety tolerability with immature data is very encouraging, okay? And also, we have very low infusion reaction. So that's really a good thing to have. And the fact that we dosed the 45 milligram per kg, continued dosing multiple cycles already. The highest cycle we have is probably 12 cycles already, right, really saying that we manage CTLA-4 toxicity really well and also VEGF toxicity. And the PK/PD really showing the drug is behaving well inside the body and the PD showing that the drug has bind to its target and is doing what is supposed to do on PD-1, CTLA-4 and VEGF and antitumor activity, you definitely see good response in post-IO, post standard of care tumor in a Phase I setting, and you see very encouraging efficacy in post-IO non-small cell lung cancer that support our Phase II focus on non-small cell lung cancer. Certainly, we have 15 cohorts, there's a lot of other cohorts. But because non-small cell lung cancer is the most compatible market-wise, we want to get into that start Phase III before we box start -- get a box start. That's the future development, okay?
So I think that's it. I'll be happy to discuss further if you have any questions.
Sure. Thank you, Jason. This is very comprehensive and really congrats on the data. I think the safety data looks pretty promising for us to moving forward. So since we talk about safety, there's a couple of questions we try to understand a bit more. Number one is when we look at the AEE across different doses, right, how should we understand the reverse dose dependency? Grade 3 plus TRAE actually is 24%, 9.5%, 7.4% when the dose goes up. And particularly grade 3 plus IRAE only observed in the lower doses, right, while in the fifth DL5 and DL6, we didn't see any of the IRA. How should we understand that?
Right? The number one is that the early dose is not just lower dose. The early dose has been followed much longer, right? So with the first patient dose in March. So we're talking about 7, 8 months. And as well as then the 45 milligram dose has been followed probably 1 to 2 -- 1 month, 1 month, so it's much shorter. So even though the [ RE ] typically come out 4 to 8 weeks, right? So there's not much come out yet. So as I said, the AEE rate will go up. But even if the AEE rate goes up by 50%, it will be very much within the acceptable range for trispecific antibody, right? So that's one obvious explanation. The second is the 1, 10 milligram -- 1 to 10 milligram is not really just 1, 10 milligram. There are quite a few patients escalated already to 20 milligram per kg, right? But it still belong to the initial 1, 10 cohort.
Got it. So is it fair to say that we should be taking, let's say, the dosage cohort 1, 2, 3 safety profile given you mentioned that for those lower doses has been followed for a longer time. So meaning Grade 3 plus TEAE is 38%, [indiscernible] about 24%, IRA about 10%. This is kind of like baseline when we are looking forward for a potential -- the safety profile going to be shown in Phase II study?
That's -- I think it's a reasonable assumption except that in early days when we enroll patients, right, there are some -- enrolling is probably not appropriate. For example, we enrolled one patient with original hospital, right, start with [indiscernible]. So those actually supposed to be enrolled because those patients have a strong bleeding tendency, but we do have patient at 3 milligram that patient does have grade 3 hemorrhage, right? So that's actually increased the hemorrhage case. So I think a small sample size, sometimes 1 or 2 events can tear this scale in proportionately, right, disproportionately. So again, I think the frequency is one thing. Second is the type of AEE, whether it's relatively easy to manage it. For example, grade 3 hypertension is probably easier to manage than grade 3 proteinuria, right? And also in this case, we have grade 3 STLT without symptom that's also considered as a grade 3 in this country, 5, right? So I can tell you all the 5. So the STLT is one of that. And then in the grade 3 neutropenia, that's also grade 3. So essentially, when you look at all these 5 grade 3, it's not -- you're not concern -- we're not concerned.
Got it. Got it. And also, how should we be looking at the potential [ RX2D, ] probably 20 milligram or 30 milligram. And also, if we look at the data, right, well, of course, it's a small sample, but 20-milligram looks the ORR a bit lower, right? But I think your PK chart already showing that it's pretty dose-dependent linear kind of perfect chart for that. So when the sample is getting bigger, we should be expecting higher dose going to give us better response rate?
Right. So we will really be making a decision based on data. You can see that in the dose escalation, 20 milligram, we have 21 patients, 30 milligram, we have 27. So those data is going to mature eventually. And also in the Phase II, we are going to enroll homogeneous patients like non-small cell lung cancer and comparing 20 versus 30, right, for example, each all has 20 patients, for example, that will be giving a pretty good assessment as to efficacy and safety. And based on that, we will make a decision which dose to take forward.
Got it. And this is a question actually today we got from investors is that just from -- when you're explaining the design and the mechanism that you mentioned about the PD-L1 is a single valent design in CS2009, right, versus a lot of bispecific antibodies is actually bivalent. So is it fair to expect lower efficacy for your asset at a 20 milligram per kilogram compared to a bispecific bivalent design at the same dose level? Or is it actually relevant because you have the synergy -- synergistic effect and also the affinity might be also different through different design.
Yes. I think the biggest misconception for IO is that you want to have a very, very high affinity molecule, right? Now look at the PD-1. So who has the highest affinity for PD-1, who has that? [indiscernible]
Right.
And Nivo actually has high higher affinity than KEYTRUDA, right?
That's right.
So -- and if you look at the literature right now, people realize that for blocking antibody, you do not want to have super high affinity because in the tumor microenvironment, when you have a super high affinity, which has high [ KM, ] but low [ KF, ] it binding will not come back -- come down. So it's actually forming a protective shield around the tumor and again more drug cannot pass through that shield. So the activity -- antitumor activity actually decreased, okay? So you really want to have a moderate antibody that goes on and goes off, right? That's -- and then once it gets on, there's all kind of synergy. This synergy actually solidify this network binding. It's because our antibody, remember, we have a lower thing, but we got a much higher dose. So it's really saturating the environment, right? So it's just like I got -- it's like you attack a city, you either have very strong giant, 10 or 20 giant, but I could have 100 just the medium-sized surgeon, right? So they probably want to do the same job or do better. That would be the idea.
Got it. And also, you mentioned about you're going to run a randomized controlled trial between the 20-milligram versus 30 milligram to determine the [ RP3D, ] right, for the Phase III. So could you elaborate a little bit more about the potential design when you're going to start to do that and sample size, what kind of indication you will be targeting when we're going to have the results for that?
Right. It's funny that you mentioned this. Look, if I want to make a drug, I don't want to make a shady drug, right? So I'm not trying to design a trial with 1,000 patients because I'm not confident, I will have OS. So I put a very, very high OS hazard ratio, and that will necessitate a large sample size, just trying to get a statistically positive trial, maybe with hazard ratio of 0.8 or 0.2 or 0.78. I think we need to have a hazard ratio OS hazard ratio of 0.75 or below in order to be out in the market, the current standard of care, right, to convince people that this is really better drugs around. So for me, for the first-line squamous, non-squamous Phase III trial, I think I will target a hazard ratio of 0.75. I definitely don't want to go higher than that, okay? So if I have 0.75, my sample size is around 700, right? And it cover both squamous, non-squamous. And PFS is not even an issue because no matter what you put there, it's going to pass, right, as you would expect. So really, really the sample size will be driven by your OS assumption. And I don't want to do a shady trial with 1,000 patients just in order to get a drug approved. Of course, I probably will not be a person to make that decision because I think when we have this Phase III started, I certainly hope that we have a partner already joined us. Then for the second line, that actually it is going to be a relatively simple design, right? I think 300 patients might be good enough if we get rid of AGA positive patient population, right? You add on dosing, and they compete against docetaxel, OS and PFS, you can do a primary there. OS is definitely necessary for approval for the second line setting. I think that will be a fast-to-market trial. We're actually very excited about that trial.
Got it. Well, of course, non-small lung cancer is going to be the key indication you will be targeting for sure, given it's very large. And of course, it's very competitive, right? But in this set of the data, we already see that there has been OR observed in several other indications, right, ovarian cancer, TNBC and RCC, SGS. But among all those indications -- potential indications, what could potentially be the ones you will be pursuing beyond small cell lung cancer?
Right? The most attractive one would be the first-line CRC, right? So we have not enrolled those patients in the dose escalation because if we open that indication, then majority of patients will be CRC because Australia has just way too many CRC. So we specifically say I don't want to have CRC in my dose escalation. Phase Ib/II, we will have chemo combo -- first-line chemo combo for first-line CRC, right? We fully expect that will be a very promising trial. So specific plus CRC against CRC plus maybe bevacizumab or something, right? I think just like [indiscernible] is doing, I think this is definitely the right thing to go. We have the advantage of CTLA-4 trying to convert a cold tumor like CRC into relatively high tumor -- hard tumor. And then RCC head and neck because those are the PD-1 chemo did not do well, right? It's moderate, right? Those are moderate efficacy. I think we go for that TNBC, so PD-1 10% and above has an indication, but that effect is very weak or very same deal, right? So all this, I think trispecific has a lot of advantage to beat KEYTRUDA or PD-1 containing standard of care.
Got it. And also in the Phase I study, well, this is still a very small sample. So we don't break down by Asian-Caucasian population, but it's roughly 50-50, right, based on baseline. So have you observed any of the difference between Asian population, white population, any difference here in terms of safety profile?
Absolutely not. Non-small cell lung cancer mostly come from China. So you see results there. But if you look at ovarian, look at TNBC, look at soft tissue sarcoma and RCC, they're all coming from Australia.
Oh, got it, got it. And also, you mentioned about Phase II and that you're enrolling patients very fast. Could you elaborate a bit more how many sites you have open, and how many patients enrolled, what percentage, how you're going to be running that? And particularly, when we should be expecting a data readout?
Yes. The first question is easy to answer. So we opened totally more than 30 sites in China and Australia right now. Australia already started to enroll patients in the 15 cohort. In China, right now, we got CDE permission to enroll first-line non-small cell lung cancer. So we are going through the EC process. Once that got approved, we should have a really, really quick enrollment for non-small cell lung cancer. We hope that we will have some cohorts that have enough patients to report at ASCO next year. And at also ASCO, we will have Phase I maturity, data will be very mature at ASCO. So I think -- I also do not exclude that we might have some data disclosure in between if we have some mature data readouts that are interesting enough for investors.
Got it. I know you don't really provide a guidance on when you're going to be looking for a partner time line. I think it's also not reasonable to provide any time line. But just to thinking about you definitely need some partners to sponsor or co-sponsor some of the large future global trials, right? If you think about that, I bet that at ESMO, you already been talking to some of the people on potential collaboration, potential future working together either on trials on more deeper collaborations. So when you are thinking about picking partners, what are the criteria? What type of partners you'll be looking at definitely top 20 pharma companies, or you're also going to be thinking about potentially selecting some smaller players who are -- who will be very committed to global trials?
Good question. So the company is [indiscernible] because I want to stand in front of the poster, right? I don't need to do that. So I have our CDO here, CSO here and myself and also a VP. So we have more than 10 high-quality multi iterate with potential partner, right? Certainly, I cannot say which one will [indiscernible] -- submit a term sheet, but I can say that the interest level is really high because most of those people already know the background, they talked to us more than 1 year ago before we actually have the drug in the clinic. So they also guide us what they are interested in. Like I said, safety is the #1 concern. Typically, they are not worried about efficacy. I think this is for validated targets. So if your drug is doing what's supposed to do in the PK/PD, you should be able to see efficacy at different stage of the trial. So that's the situation. So I certainly hope, and I'm pretty confident that we should have a partner before we actually start Phase III trial, right? But we don't want to wait for a partner to drive directory processes and also preparing data to support Phase III trial, right, because then you will be in trouble because you could -- they could delay your time significantly.
So what's going to be the most important thing that you need to -- with respect to other competitors?
I think we are talking about a drug that is going to revolutionize the IO field. So I certainly do not want to pick a partner who just take the drug and do some small scale trial or shady trial. I want somebody who takes this drug and try to really wipe out the KEYTRUDA market. So again, the clinical capability and their track record and their business plan, I think it is more important than how much money you pay upfront. But certainly, there will be a market price for this, right? So we all know how much it should be worth it. And those will be competing processes. So...
Got it. And also you mentioned about -- I'm very interested about that is you mentioned about Phase II, you're enrolling very fast. And particularly, you now are talking small cell lung cancer and non-small cell lung cancer indications. But we are knowing that in China, there are so many different PD-1 plus bispecific, price-specific ADCs, they're pretty much competing for first-line squamous, non-squamous, second line those AGA wild-type non-AGA or EGR mutated population. So I'm kind of wondering why you still feel the patient enrollment is not an issue, or are you guys not competing with each other to getting the best quality of patients, getting the best quality of the PIs for all those trials?
Yes. Look, that's actually an interesting point. So even though you see so many from each -- from all kind of conference, right? PIs do understand -- you talk to them, they do understand which drug is going to be beneficial to their patients. But of course, they're also driven by some other studies other than the patient need. But bottom line, they're still a doctor, okay? You can probably tell why we have Phase III 3 non-small cell lung cancer, right, so quick, right, so from 10 milligram, 20, 30 milligram. So just very quickly in the last several months. So they understand that bispecific is going to have uncertain OS issue, right? That as a [ factor, ] right? Not just yesterday looked at the HARMONi-6. If you look at the second slide yesterday, their designed PFS 0.7 hazard ratio, I think that's actually conservative. But the OS assumption is 0.73 with 80% of power, that's aggressive, right? So with that top line, you think the OS will be able to succeed. Take a look, I'll send you data, [ the footer. ] So they are charging you $39. So that's -- almost tell me that's going to fail, right? So really, really when you -- for us, we've done quite a few pivotal trials, each OS, PFS OS and the high-quality, high publication. So PI know us, they want to working with us. And also to some extent, they do not want to lose that partnership with us, right? Because we -- for example, a PD-L1 or a drug in our hands. [indiscernible] actually [indiscernible] a drama with [ 78 ] [indiscernible] anything [indiscernible] 3 times with potential and honest, published nature medicine, published nature cell -- cancer cell. So this is the type of publication we get. And also the drug getting approved by EMA, the U.K. based on China-only trial, I think that also was mentioned yesterday by discussing to a [indiscernible] TNT, right, [indiscernible]. So this type of quality help your trial progress because they know they are working with true professional, okay? So that's also important.
Got it. Thank you so much. We have been running the call for about an hour. We still got a lot of questions. It's very interesting. And it's the first time we see a new set of data by trispecific. And definitely, we're looking forward to more data in the upcoming 6 months, 12 months. So hopefully, next time when we discuss the data, there's more positive surprise to us to investors. Thank you so much. Any wrap-up comments from you?
No. Thank you. I think I thanks investor. I think we certainly appreciate your interest. I think that working together we are pretty much like a raising child, right? I always like to say that you can see the child grow and learn new skills and also becoming stronger. I think we expect to see that. I think in 6 months, we should have a lot of first-line patient data. So we don't have to explain why you don't see that today, right? So that's good. So thank you so much.
Yes. No problem. Thank you so much, and we're going to wrap up the call here. Thank you.
Cstone Pharmaceuticals — Special Call - CStone Pharmaceuticals
Phase I update: trispecific PD‑1/CTLA‑4/VEGF shows target engagement, tolerable safety so far, and early activity in post‑IO solid tumors.
🎯 Key Message
- Core: Management presented Phase I data for a trispecific PD‑1 + CTLA‑4 + VEGF antibody (internal name CS2009). Data show clear PK/PD target engagement, lower‑than‑expected immune toxicity versus historical PD‑1+CTLA‑4 combos, and early anti‑tumor activity in heavily pretreated, post‑immune‑checkpoint patients, supporting rapid Phase II plans in non‑small cell lung cancer.
🚀 Strategic Highlights
- Development pace: 72 patients enrolled quickly; Phase II already started and company plans FDA discussions mid next year toward Phase III design.
- Dose & mechanism: Design aims to reduce peripheral CTLA‑4 toxicity by monovalent CTLA‑4 binding while restoring potency in tumors via PD‑1 and VEGF cross‑linking.
- Indication focus: Priority is first‑line NSCLC with chemo combinations and a second‑line post‑IO docetaxel comparison; company expects partnering before Phase III but will keep running pivotal preparations.
🆕 New Information
- Enrollment: 72 patients in Phase I; majority heavily pretreated and ~54% non‑Asian.
- Safety: Grade ≥3 treatment‑related adverse events (TRAEs) ~30.9%; grade‑3 immune‑related TEAEs ~4.2% (immature follow‑up).
- Efficacy: Overall Phase I disease control rate (DCR) 71.4%; in 17 post‑IO NSCLC ORR 17.6% (DCR 42.4%); excluding EGFR‑mutants ORR rises to 25% with DCR 83.3%.
- PK/PD: Half‑life ~6–8 days; receptor occupancy saturated at ~20 mg/kg; PD markers plateau ~10 mg/kg; free VEGF‑A suppressed at low dose.
❓ Analyst Q&A
- Dose selection: Management explained apparent reverse dose‑dependency is driven by longer follow‑up in early cohorts; plan randomized 20 vs 30 mg/kg comparisons in Phase II to pick recommended Phase III dose.
- Trial sizing: For first‑line NSCLC they target an overall survival hazard ratio ~0.75 (sample ~700); a focused second‑line post‑IO trial could be ~300 patients excluding growth‑mutant (EGFR/ALK) cases.
- Partnerships: High partner interest; company seeks a collaborator with global trial execution capability and will likely secure a partner before Phase III but will not delay preparatory work.
⚡ Bottom Line
- Verdict: Early Phase I data are encouraging on both safety and mechanism of action and justify rapid advancement into randomized Phase II in NSCLC; key near‑term catalysts are more mature Phase I readouts, Phase II cohort data (mid‑next year), FDA engagement and partner selection. Risks remain: small cohorts, short follow‑up, and a competitive IO landscape.
Financial data from Cstone Pharmaceuticals
Revenue
Revenue is the sum of all sales generated by a company, e.g. for its products or services.
Revenue (TTM) metric explainedDirect Costs
Direct costs are the costs incurred directly in connection with the manufacture of the product or service.
Gross Profit
Gross Profit indicates how much of the revenue remains in the company after deducting direct production costs. If the percentage share of sales is calculated, this is referred to as the gross margin.
Gross Profit metric explainedSelling and Administrative Expenses
Selling, general and administrative expenses (SG&A) include all expenses for marketing and sales as well as the general administration of the company.
Research and Development Expense
Research and development costs (R&D) provide information on how much the company invests in the research and development of its products. The costs are particularly interesting as a percentage of revenue and in comparison to direct competitors.
EBITDA
EBITDA (Earnings Before Interest, Taxes, Depreciation and Amortization) is the company's earnings before interest, taxes, depreciation and amortization. The EBITDA margin is calculated as a percentage of sales.
Depreciation and Amortization
Depreciation represents reductions in the value of the company's assets (e.g. due to wear and tear on machinery).
EBIT (Operating Income)
EBIT (Earnings Before Interest and Taxes) is the company's profit before interest and taxes, also known as the operating income. The EBIT Margin is calculated as a percentage of sales at
.
Net Profit
Net Profit represents the profit or loss after deduction of all costs.
Net Profit metric explainedStocksGuide Premium
| Dec '25 |
+/-
%
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| Revenue | 316 316 |
34%
34%
100%
|
|
| - Direct Costs | 256 256 |
31%
31%
81%
|
|
| Gross Profit | 60 60 |
79%
79%
19%
|
|
| - Selling and Administrative Expenses | 202 202 |
19%
19%
64%
|
|
| - Research and Development Expense | 345 345 |
138%
138%
109%
|
|
| EBITDA | - - |
-
-
|
|
| - Depreciation and Amortization | - - |
-
-
|
|
| EBIT (Operating Income) EBIT | -469 -469 |
389%
389%
-149%
|
|
| Net Profit | -512 -512 |
379%
379%
-162%
|
|
In millions HKD.
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Company Profile
Cstone Pharmaceuticals Co. Ltd. is an investment holding company, which engages in the research and development of complex biopharmaceutical products and sale of pharmaceutical products. Through its subsidiaries, the Company is primarily engaged in the research and development of biopharmaceutical products, the sales of pharmaceutical products, as well as the provision of license of its intellectual property (IP) or commercialization license. The Company’s products primarily include targeted therapies, AYVAKIT (avapritinib), GAVRETO (pralsetinib) and CEJEMLY (sugemalimab). The firm is also engaged in the development and commercialization of immuno-oncology. The firm primarily conducts its businesses in the domestic market and overseas markets, such as Central and Eastern Europe and Switzerland.
StocksGuide Premium
| Head office | Cayman Islands |
| CEO | Dr. Yang |
| Employees | 136 |
| Website | www.cstonepharma.com |


