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All theses

Target thesis · Tumor suppressor

PTEN

Phosphatase and tensin homolog

Generated 2026-07-12 · KG version 84 · every number traces to the evidence appendix

Coverage note

read this firstCoverage confidence: Partial

Partial coverage — some dimensions thin or reframed; caveats below.

DimensionHoldingTier
Literature257 curated papers (PubMed ~19,247 oncology)High
Patents100 patents, 214 organizationsHigh
Compounds2 distinct compounds (ChEMBL has only 5 bioactivities)Low
Genetic (DepMap)present, but positive gene effect — a dependency signal inverted (see Bear #1)Partial
Structuralpresent (Foldseek/AlphaFold + AlphaMissense)High

Coverage honesties, up front

  • PTEN has no clinical chemical matter — max clinical phase 0, 2 compounds total — so compound/SAR competition is not assessed.
  • DepMap “present” here does NOT mean “dependency”: the mean gene effect is positive (loss-of-function tumor suppressor), so the standard genetic-addiction bull case is inverted and not made.

Assessed with confidence

  • Mutational/biomarker footprint
  • Competitive interest
  • The (in)applicability of an inhibitor strategy

Flagged / withheld

  • Compound coverage (2 compounds — not assessed)
  • Genetic axis inverted (positive gene effect)

Target-level readiness: Thesis-ready as a loss-of-function assessment, not as an inhibitor target.

Headline verdict

No strong angle· matches its reputation

A tumor suppressor — the wrong shape for an inhibitor program, and the graph says so. PTEN has a strong mutational/biomarker footprint (72% of 7,657 variants pathogenic) and active patenting (100 patents / 214 orgs), but DepMap shows a positive gene effect (+0.40) — its loss is pro-fitness, so there is no enzyme-dependency to inhibit — and the clinical pipeline is empty (max phase 0, 2 compounds). There is no strong non-consensus angle. Honest read: PTEN is a loss-of-function biomarker, not a direct small-molecule target; any program lives in its synthetic-lethal partners or PI3K-axis biology, none of which the graph can yet validate.

The bull case

  1. 1.

    A major, hotspot-driven cancer lesion. AlphaMissense flags 72.25% of 7,657 scored variants as pathogenic, with a hotspot at residue 127 (mean score 1.0) — PTEN loss/mutation is a well-characterized, high-impact event. (A biomarker strength, not a drug-target strength.)

    confidence: highgenetic_validation.variant_pathogenicity

  2. 2.

    Sustained interest despite no asset. 100 patents across 214 organizations, with filings holding (24 in 2022, 24 in 2024). The field is actively working the target even without clinical chemical matter.

    confidence: moderatecompetitive_landscape

  3. 3.

    Deep literature. 257 curated papers support a well-evidenced view.

    confidence: highcoverage.dimensions.literature

The bear case

  1. 1.

    Wrong target shape for inhibition — the defining fact. DepMap mean gene effect is +0.3956 (positive); PTEN is essential in only 1.4% of 1,208 models. Knocking PTEN out improves fitness — it is a loss-of-function tumor suppressor. There is no catalytic dependency to inhibit, and “restoring” a tumor suppressor is not a modality this graph evidences.

    confidence: highgenetic_validation, sign-read

  2. 2.

    No clinical chemical matter. Max clinical phase 0; only 2 compounds (both preclinical); ChEMBL lists just 5 bioactivities. The target is essentially undrugged by direct means.

    confidence: highcompetitive_landscape / coverage

  3. 3.

    Compound coverage too thin to assess. 2 compounds — SAR, selectivity, and series competition are not visible in this graph.

    confidence: flaggedcoverage.dimensions.compounds

  4. 4.

    The PI3K-axis link is consensus and crowded. The one independently-evidenced downstream node, PIK3CA (PTEN loss → PI3K activation; 2 papers), carries 353 patents and phase-4 chemical matter — heavily worked, not open.

    confidence: moderateresistance_bypass_map

The non-consensus angleNo strong angle

No strong non-consensus signal in current data; PTEN's profile largely matches its reputation as a loss-of-function tumor suppressor. No DepMap co-essentiality fired and there is no independently multi-sourced whitespace node — manufacturing an angle here would be reaching.

  • A coherent PTEN interactome, but PPI-proxy only. The functional-coupling whitespace tool returns MAGI2, DLG1, PTK2 (FAK), MAST2, PREX2, SPOP, PIK3R2, NEDD4 (PPI 0.98+) — real PTEN regulators/partners. None is in Mosaic's curated target set, so the graph has no patent/compound coverage for them; their competitive status is not assessed (not a whitespace claim). This is PPI-proxy coupling, not DepMap co-essentiality, so it is not advanced. (Archetype caveat: an earlier unattended run phrased these as “a PTEN inhibitor + partner” — nonsensical for a tumor suppressor; the tumor-suppressor rule now phrases them as synthetic-lethal partners of PTEN-loss.)

    confidence: PPI-proxy — weakkg_native.synthetic_lethal_whitespace (PPI-proxy)

    Patent / compound status: not assessed (out of coverage). gene outside Mosaic curated coverage — competitive landscape is a validated lead to verify externally, not a whitespace claim.

  • PIK3CA is the only evidenced axis node, and it is consensus. Well-known biology (PTEN loss activates PI3K), heavily patented — not whitespace.

    confidence: moderatekg_native.resistance_bypass_map (curated)

Honest empties

  • No co-essentiality fired.
  • emerging_signals shows no surge.
  • Modality is uninformative (2 compounds, 100% unclassified).

What would change this thesis

  • If DepMap co-essentiality evidences a synthetic-lethal partner of PTEN-loss (none fired here), a real non-consensus angle emerges — the canonical way to drug a tumor suppressor.
  • If a PTEN-restoration or PTEN-stabilizing modality (e.g. blocking the NEDD4-class degradation the interactome hints at) enters the graph, the “undruggable” bear weakens.
  • If DepMap read in a PTEN-loss-selected context shows a collateral dependency, Bear #1's “no dependency” reading gains a therapeutic handle.