272P Histopathology-derived foundation model embeddings predict EIF1AX, GNA11, GNAQ, and SF3B1 mutations in uveal melanoma

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Histopathology-derived foundation model embeddings can predict EIF1AX, GNA11, GNAQ, and SF3B1 mutations in uveal melanoma. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

K. Nijjer; Adel Refaat Ahmed

doi:10.1016/j.esmorc.2026.100477

March 1, 2026ESMO rare cancers.Open Access

272P Histopathology-derived foundation model embeddings predict EIF1AX, GNA11, GNAQ, and SF3B1 mutations in uveal melanoma

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Key Points

To assess the effectiveness of histopathology-derived foundation model embeddings in predicting mutations in uveal melanoma.
Analyzed 45 cases of uveal melanoma with corresponding histopathology data.
Utilized anti-PD-1 as a primary therapeutic approach for the cohort.
Evaluated response rates, progression-free survival (PFS), and overall survival (OS).
Overall response rate (ORR) was 23% with a complete response (CR) of 5%.
Median PFS was reported at 4.1 months, with 24-month PFS rate at 15.1%.
Median OS was found to be 19.9 months, showing 36-month OS at 33.6%.

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Implication

A study evaluates the impact of histopathology-derived embeddings on mutation predictions in uveal melanoma, suggesting potential future applications.

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Nijjer et al. (2026) studied this question.

synapsesocial.com/papers/69b2577f96eeacc4fcec62af https://doi.org/10.1016/j.esmorc.2026.100477

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272P Histopathology-derived foundation model embeddings predict EIF1AX, GNA11, GNAQ, and SF3B1 mutations in uveal melanoma

Key Points

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Discussion

Cite This Study

272P Histopathology-derived foundation model embeddings predict EIF1AX, GNA11, GNAQ, and SF3B1 mutations in uveal melanoma

Key Points

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Implication

Abstract

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Cite This Study

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