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Health · hypotheses from public data, literature kept separate

Colorectal cancer: what public data can and cannot tell us

This is not a treatment and not medical advice. Over one night we ran 10 rounds of analysis (16 completed analyses) on public cancer genomics: more than 3,700 tumours and more than 1,100 cancer cell lines (TCGA and other cohorts, plus the DepMap cell-line screens). The aim was to see where a treatment idea might have doors, and to say clearly which doors stayed shut.

Conceptual illustration generated with AI. Not experimental data or a depiction of the actual equipment.

Result: nine hypotheses ranked by strength of evidence, several honest negatives, and one correction. None is tested in a lab. None is a cure.

Background from the literature
LITERATURE: MAJOR PATHOLOGICAL RESPONSE INUNICORN (%)pMMR, botensilimab alone (n=14)0%pMMR, botensilimab + balstilimab (n=14)36%dMMR, botensilimab alone (n=14)36%dMMR, botensilimab + balstilimab (n=14)100%

Source: published abstract, Nature Medicine, 2026 (doi link above). Small groups: 95% confidence intervals are wide (for example 12.8 to 64.9% for 36%). This chart is from the literature, not from our analysis.

Our findings: right versus left colon

These are results of our own analysis of public tumour data. In 1,038 tumours (374 right-sided, 664 left-sided), the mutation pattern differs sharply. KRAS is mutated in 59% of right-sided and 33% of left-sided tumours. TP53 goes the other way: 58% right, 81% left. BRAF (18% against 7%), RNF43 (16% against 3%) and PIK3CA (30% against 16%) are also more common on the right. All of these passed correction for many tests (q below 0.001).

SHARE OF TUMOURS WITH THE MUTATION (%)KRASright colon59%left colon33%TP53right colon58%left colon81%BRAFright colon18%left colon7%RNF43right colon16%left colon3%

Source: our analysis table of right versus left mutation frequencies, Fisher exact test with Benjamini-Hochberg correction. Observational data: it shows a difference, not a cause. Part of the right-sided difference may reflect MSI-high tumours, which sit mostly on the right.

Our findings: KRAS and PI3K travel together in MSS tumours

Among 506 MSS tumours, KRAS-mutant ones carry a PIK3CA mutation in 36% of cases against 15% in KRAS-normal ones (odds ratio 3.2, q below 0.001). NRAS and BRAF mutations are rare when KRAS is mutated, as expected because they do the same job. The idea that follows is a hypothesis: a KRAS tumour may need a combined block of both routes.

SHARE OF MSS TUMOURS WITH THE MUTATION (%)APCKRAS-mutant85%KRAS-normal61%PIK3CAKRAS-mutant36%KRAS-normal15%NRASKRAS-mutant1.5%KRAS-normal8.7%BRAFKRAS-mutant1.0%KRAS-normal6.8%

Source: our analysis table of co-mutations in MSS tumours (196 KRAS-mutant, 310 KRAS-normal). Tumour sequencing data. Not tested in cells or patients.

Our findings: what cell lines say about KRAS

In the DepMap cell-line screens, cells carrying a KRAS mutation depend more on SHOC2 (correlation 0.68) and RAF1 (0.67) than other cells, and a little more on YAP1 (0.40). All three passed correction for many tests. This matches the literature on SHOC2 and MEK resistance and ranks among our strongest hypotheses. It is a cell-line result. Some effects are not specific to the bowel: for SHOC2 the bowel lines were not different from the rest (p=0.59).

Cold versus hot tumours
MSI-high tumours carry far more immune signals (for example PD-L1, LAG3, PRF1, CXCL9) than MSS ones: 78 MSI-high against 504 MSS tumours, all with q below 1e-10. The immune gap is real and large.
WNT pathway
WNT and stemness signals are higher in MSS tumours. Cells with a high WNT score depend on their own pathway (beta-catenin, correlation -0.52), a sanity check that the score works. No new synthetic-lethal partner passed correction.
Surface targets
LY6G6D, CEACAM5, CDH17 and GPA33 are expressed on MSS tumours and are candidates for antibody-based drugs. LY6G6D is already in phase 1 testing.
Immunotherapy in MSS tumours: a correction
Correction to an earlier headline An early version of our analysis said that tumours with a POLE mutation or a high mutation burden could be a route to immunotherapy for MSS cancers. The corrected version narrows this. A high mutation burden alone does not predict benefit. Only tumours with a harmful POLE or POLD1 proofreading defect have clinical support.
Honest negatives
Limits

Not medical advice. This is research on public data, not a treatment or a recommendation. Medical statements are cited literature, kept apart from our own findings.