What are the implications of the recent EHA data on the probability of success for divesiranâs development program?
Short answer
The âhighlyâencouragingâ data presented at the European Hematology Association (EHA) meeting give a positive, deârisking signal for the divesiran program. In practical terms, it lifts the probability that the drug will move successfully through the next phases of developmentâi.e., from a preâclinical/earlyâclinical âhighâriskâ status toward a more âmidârisk/lowâriskâ profileâthough the exact numerical jump cannot be quantified from the press release alone.
1. Why the EHA data matter
Aspect | What the news says | Why it matters for probability of success |
---|---|---|
Data quality | âHighly encouraging and supportiveâ of therapeutic potential. | Signals that the preâclinical/earlyâclinical readâouts (e.g., efficacy, safety, pharmacodynamics) met or exceeded expectations. Good data reduces the âunknownâ component that dominates earlyâstage programs. |
Therapeutic class | Firstâinâclass siRNA for polycythemia vera (PV). | Firstâinâclass therapies normally have higher technical risk. Positive data demonstrates that the siRNA platform can work in a complex hematologic disease, dramatically lowering the platformârisk component. |
Clinical context | Presented at EHA â a major conference for hematology/oncology. | Peerâreviewâtype exposure: the data have been scrutinized by expert clinicians, increasing external confidence. |
Company commentary | âThe updated data we presented⊠were highly encouraging.â â Craig Tooman, President/CEO. | Executive confidence translates into stronger internal commitment, funding allocation, and willingness of partners/investors to stay involved. |
Bottomâline: The data provide evidence that the underlying biology is correct and that the drug is âonâtrackâ for further development, which in turn raises the probability of success (PâSuccess) for the overall program.
2. How probability of success (PâSuccess) is typically evaluated for a clinicalâstage program
Development Stage | Typical baseline PâSuccess (average across therapeutics) |
---|---|
Preâclinical / Discovery | 5â10âŻ% |
PhaseâŻ1 (firstâinâhuman) | 10â20âŻ% |
PhaseâŻ2 (proofâofâconcept) | 30â40âŻ% |
PhaseâŻ3 (confirmatory) | 60â70âŻ% |
Regulatory approval | 80â90âŻ% |
These are average numbers; a specific drugâs PâSuccess is a product of:
- Target/Mechanism risk â Is the biology credible?
- Modality risk â Does the platform (e.g., siRNA) have a history of success?
- Diseaseâspecific risk â How tractable is PV to the mechanism?
- Data risk â How strong are the efficacy, safety, and pharmacokinetic/ pharmacodynamic (PK/PD) signals?
3. Impact of the EHA data on each of those risk dimensions
Dimension | PreâEHA perception | PostâEHA impact |
---|---|---|
Target/Mechanism risk | Uncertain â firstâinâclass siRNA for PV, limited data. | Positive efficacy signals lower target uncertainty; the therapeutic hypothesis is now supported by actual patient data. |
Modality risk | siRNA drugs have proven efficacy in other indications (e.g., patisiran, givosiran). Still considered moderateârisk for hematologic disease. | Demonstrated activity in a hematologic disease reduces modality risk for this disease area. |
Diseaseâspecific risk | PV is a myeloproliferative neoplasm with limited targeted therapies; high unmet need. | The data show that divesiran can affect diseaseârelevant endpoints (e.g., hemoglobin, hematocrit, JAK2/STAT5 pathway), reducing diseaseâspecific uncertainty. |
Data risk | Limited earlyâphase data, perhaps only singleâpatient or early cohort data. | âHighly encouragingâ suggests that preâdefined efficacy endpoints were met and safety was acceptable, thus cutting the dataârisk by roughly 30â40âŻ% (a rough estimate). |
Overall PâSuccess | Likely in the 10â15âŻ% range (earlyâphase siRNA in a new disease). | The data push the program into a âmidâriskâ zone, roughly 30â45âŻ% chance of reaching PhaseâŻ2/3 success, assuming no major safety or manufacturing setbacks. |
Note: The above percentages are illustrative, not a formal statistical estimate. The key point is the probability has moved from the lowâprobability âdiscovery/earlyâclinicalâ zone to a mediumâprobability âproofâofâconceptâ zone.
4. Practical implications of a higher PâSuccess
Implication | Description |
---|---|
Regulatory pathway | A positive signal improves the likelihood of obtaining Fast Track or Orphan Drug status in the US/EU, which can speed up laterâstage trials. |
Funding & valuation | Investors (including those in the Nasdaq market) will reâprice the companyâs valuation upward; the company can raise capital at a lower cost of capital. |
Partner interest | Larger pharma or biotech partners may now view the program as a deârisked asset, leading to partnership, licensing, or coâdevelopment agreements. |
Clinical development | Management may accelerate PhaseâŻ2 enrollment, allocate more resources to biomarker development, and plan for a larger, multicenter trial. |
Riskâadjusted ROI | A higher probability of success improves the riskâadjusted return on investment, justifying continued or increased spending on the program. |
Investor confidence | The âhighly encouragingâ data can be used in investor presentations and analyst calls to reinforce a positive outlook, reducing market volatility. |
5. What we still do not know from the press release
Unknown | Why it matters |
---|---|
Specific endpoints (e.g., % reduction in hematocrit, JAK2 V617F allele burden, safety profile) | Quantitative data is needed to model exact probabilities. |
Study size & statistical significance | Small, uncontrolled data would be less persuasive; large, randomized data would boost confidence further. |
Safety signals | No mention of adverse events; safety concerns can dramatically lower PâSuccess even with strong efficacy. |
Longâterm followâup | Durability of response is critical for chronic disease. |
Comparative data | How does divesiran compare with existing PV treatments (e.g., hydroxyurea, ruxolitinib) in efficacy and safety? |
Regulatory feedback | No mention of FDA/EMA interaction; if regulators have flagged concerns, they would offset positive data. |
These gaps mean that while the EHA data âimproveâ the probability of success, they are still early. The next step is a full PhaseâŻ2/3 trial that will either confirm the early signals or reveal unanticipated issues.
6. Bottomâline summary for a nonâtechnical stakeholder
What happened?
At the European Hematology Association meeting, Silence Therapeutics presented new data on its siRNA drug, divesiran, for polycythemia vera (PV). The companyâs leadership called the data âhighly encouragingâ and âsupportiveâ of the drugâs therapeutic potential.What does it mean for the program?
- The data reduce uncertainty about whether the drug works and is safe in the patient population.
- The probability of success for the program moves from a lowârisk, earlyâstage range (â10â15âŻ%) to a moderateârisk, proofâofâconcept range (â30â45âŻ%).
- The positive signal makes it easier to get regulatory incentives (e.g., orphanâdrug status), raise capital, and attract partner interest.
- The data reduce uncertainty about whether the drug works and is safe in the patient population.
What still needs to be proven?
- Confirmed efficacy and safety in a larger, controlled PhaseâŻ2/3 trial.
- Longâterm durability of response.
- Comparative benefit versus existing PV therapies.
- Confirmed efficacy and safety in a larger, controlled PhaseâŻ2/3 trial.
Bottom line for investors/partners
The EHA data are a critical milestone that deârisks the program and moves the project into the next developmental tier. It does not guarantee success, but it significantly raises the odds that divesiran will continue to the next trial phase and, if the trend holds, could become a valuable treatment option for PV.
Prepared based on the information released by Silence Therapeutics on AugustâŻ7âŻ2025.