Products
The Responder Atlas.
Oncology Response Intelligence Platform.
The Atlas is our analysis platform, built on public pharmacogenomic data. It serves two use cases: pre-clinical assets and clinical trials. Either can be run three ways. On public data alone, on sponsor data alone, or on both together.
Everything here is hypothesis-generating triage on cell-line and cohort data. It produces candidates to test. It is not a clinical or efficacy prediction.
Tier 1
Reports.
Per-compound, public data only. Nothing is required from you.
- Data needed:
- Nothing. Give us a compound name or a structure.
- Returns:
- A finished report on that compound.
Indication Lite
FreeA ranked signal across 17 cancer tissue types for one compound. Measured DepMap response where the compound is in DepMap, estimated from chemical structure where it is not. Every result says which.
Responder Screen
Breadth. All 17 indications for one compound, with the cell-line subgroups that concentrate the response.
Responder Profile
Depth. One indication you choose, with node-level subgroups, candidate biomarkers, dependency characterisation and a named combination partner.
Tier 2
Pre-clinical.
For companies with a compound and cell-line screening data.
- Data needed:
- Nothing, your screening results, or both.
- Returns:
- An engagement we run and deliver. There is no self-serve interface for this work.
Atlas only
Indication landscape and responder structure for a compound or a mechanism class. A sponsor might ask which indications carry responder zones for a BRAF inhibitor, or for that mechanism generally.
- Needs:
- No data from you.
- Returns:
- A written analysis of where the response structure sits, with the cell-line subgroups behind it.
Sponsor data only
We analyse your own cell-line screen with the same method, without reference to the Atlas.
- Needs:
- Your screening results.
- Returns:
- Responder structure and candidate biomarkers from your data.
Both
Your screen read against the Atlas, so your compound sits in the context of the public landscape.
- Needs:
- Your screening results.
- Returns:
- Your responder structure, plus how it compares to compounds already in the Atlas.
Tier 3
Trials.
For teams designing or reading a clinical trial.
- Data needed:
- Nothing, your cohort, or both.
- Returns:
- An engagement we run and deliver. There is no self-serve interface for this work.
Atlas only
Trial intelligence assembled from public data: indication landscape, responder structure, and candidate biomarker hypotheses. This is the same kind of purchase as real-world evidence on indication size or demographics, and it is the lowest-friction way to start.
- Needs:
- No data from you. No data transfer of any kind.
- Returns:
- A written analysis you can act on without sharing anything.
Sponsor data only
Trial Enrichment Strategy. Unsupervised geometric analysis of tumour gene-expression data from your cohort, run on your data alone and not on the Atlas.
- Needs:
- Your patient cohort, analysed privately.
- Returns:
- Predicted responder subgroups within your cohort.
Trial Enrichment Strategy is a separate method that runs on patient gene-expression data, not on the Atlas and not on cell lines. Its published result on the JAVELIN Renal 101 trial reached 82.0% out-of-sample accuracy. That figure describes TES on patient data only. It says nothing about any Atlas offering on this page. See Trial Enrichment Strategy.
Both
Trial Enrichment Strategy on your cohort, plus responder matching across the trials and indications represented in the Atlas.
- Needs:
- Your patient cohort.
- Returns:
- Your cohort's responder subgroups, placed against the wider landscape.
In development
Biomarker search across the Atlas.
Searching the Atlas by biomarker or gene signature to find compounds with matching responder structure. This is not built yet and is not available to buy. We are talking to teams who would use it.
Early-access enquiries: info@responderlab.comEverything above Tier 1 is scoped per engagement.
Tell us the compound, the indication if you have one, and whether you have data of your own. We will tell you what the data can and cannot support before anything is commissioned.
Contact us: info@responderlab.com