◆ Retrospective concordance · not a forward prediction

A kidney-cancer drug, scored for brain cancer — through the right biology

GaiaLab independently ranked sunitinib as a top-tier candidate for glioblastoma using only its molecular mechanism. It turns out at least ten real clinical trials tested exactly that. Here is what that does — and does not — prove.

87/100
GaiaLab score · Tier I
10
verified sunitinib-in-GBM trials
PDGFRA · PTEN
driver genes behind the score
Read this first. These trials predate the analysis — GaiaLab did not predict them before they existed. This shows the scoring reflects real mechanism, not that sunitinib treats glioblastoma. Most of these trials did not succeed. Research use only.

Two things that share no clinical link

Sunitinib (Sutent) is FDA-approved for renal cell carcinoma, gastrointestinal stromal tumors, and pancreatic neuroendocrine tumors. It is not approved for glioblastoma — an aggressive brain cancer with few effective options and a grim prognosis.

The two share no indication. A system that matches drugs to diseases by name or label would never connect them. Any link has to come from the underlying biology.

Tier I, scored on mechanism alone

Given a glioblastoma gene panel, GaiaLab scored sunitinib as a Tier I repurposing candidate — its highest tier — at 87 out of 100. The score was driven by two glioblastoma driver genes in the panel, not by any indication match.

Sunitinib Glioblastoma
Tier I
Target-gene overlapPDGFRA
Disease-context alignmentPTEN loss
Mechanism relevanceAnti-angiogenic
Overall repurposing score87 / 100

Recorded rationale: target genes PDGFRA and PTEN. GaiaLab scores across six evidence dimensions; the driving factors are shown.

Textbook glioblastoma pharmacology — not a coincidence of names

PDGFRA
A validated glioblastoma driver, amplified in a meaningful fraction of tumors — and sunitinib is a direct PDGFR inhibitor.
PTEN
PTEN loss is among the most common alterations in glioblastoma, driving the growth-signaling axis these kinases feed.
VEGFR
Glioblastoma is one of the most angiogenic tumors known — and sunitinib is an anti-angiogenic VEGFR inhibitor.

GaiaLab bridged an approved kidney-cancer drug to brain cancer through the multi-target kinase and angiogenesis logic a pharmacologist would use — reaching a genuine repurposing hypothesis, not a label lookup.

The clinical community tested the same hypothesis

This was not merely plausible. GaiaLab's twelve linked trials were re-verified against the live ClinicalTrials.gov registry, requiring each to genuinely test sunitinib in glioblastoma. Ten of the twelve held up — six of them Phase 2 studies.

TrialDesignStatusFocus
NCT01100177Phase 2CompletedSunitinib before/during radiotherapy, newly diagnosed GBM
NCT00499473Phase 2CompletedSunitinib in recurrent malignant glioma
NCT00606008Phase 2CompletedSunitinib for recurrent glioblastoma
NCT00864864Early Phase 1CompletedSunitinib tumor-level pharmacology in GBM
NCT02928575Phase 2ReportedSunitinib + temozolomide + radiation
NCT03025893Phase 2/3ReportedHigh-dose intermittent sunitinib
NCT00535379Phase 2ReportedSutent in recurrent/progressive GBM
NCT00923117Phase 2TerminatedSunitinib for recurrent brain cancer

Eight representative trials shown; the live ClinicalTrials.gov registry lists 12 sunitinib-intervention glioblastoma trials in total. Method: each linked NCT record was re-checked against the live registry to confirm the intervention lists sunitinib and the condition is glioblastoma or an equivalent glioma term.

◆ What this proves — and what it does not

This is retrospective concordance, not a forward prediction. These trials predate the analysis; GaiaLab did not call them before they existed. What it demonstrates is narrower and still meaningful: GaiaLab's mechanism-based scoring reflects real therapeutic reasoning — it independently reached a hypothesis experienced clinicians independently chose to test — rather than surfacing noise.

And most of these sunitinib-glioblastoma trials did not succeed. Glioblastoma is punishing; a sound mechanistic rationale is not the same as clinical efficacy. GaiaLab tells you where to look, not what will work. Stating that plainly is what separates an honest instrument from a hype machine.

A recent independent corroboration. In 2025, a study in Cell reported that combining a myosin-II inhibitor (MT-125) with sunitinib significantly improved survival in orthotopic glioblastoma models over either agent alone (Kenchappa RS et al., Cell 2025;188(17):4622–4639; PMID 40499543). This is concordance, not prediction: the paper post-dates our analysis, and we make no priority claim. It is included only as an example of active experimental work converging on the same PDGFR-directed mechanism — the reasoning GaiaLab reached from molecular biology alone remains an area of live investigation, not a settled result.

The value isn't that GaiaLab was right about sunitinib curing brain cancer — it wasn't, and neither were the trials. It's that a mechanism-first score, computed with no indication data, landed on the same hypothesis the field spent a decade testing. That is the signal worth building on: the reasoning is sound, so the real question is whether it holds prospectively — a test GaiaLab has now publicly pre-registered.

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