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April 26, 2026Apmis0 citations

IHGAMP : Pan‐Cancer HRD Prediction From Routine H&E Whole‐Slide Images Using Foundation Models

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SZSanwal Ahmad ZafarLCLiu ChengliangAKAreeba Khan

Key Points

  • This research aims to develop a computational framework, IHGAMP, for predicting homologous recombination deficiency (HRD) using whole-slide images.
  • Utilized vision transformer foundation models to analyze H&E whole-slide images.
  • Tested the framework on 8109 patients across 31 cancer types using AUROC metrics.
  • Conducted external validations on independent cohorts to assess generalization.
  • Achieved an AUROC of 0.766 in the TCGA test set, improving to 0.812 with OpenSlideFM.
  • External validation in CPTAC-LUAD showed AUROC 0.723, while MMR-deficient endometrial carcinoma yielded an AUC of 0.445.
  • Confirmed that the model reflects HRD biology beyond single-gene effects with a comparator nearing random performance (AUC = 0.486).

Abstract

ABSTRACT Homologous recombination deficiency (HRD) guides PARP inhibitor and platinum‐based therapy selection but relies on costly next‐generation sequencing with limited accessibility. Here, we show that IHGAMP, a computational framework using vision transformer foundation models, predicts HRD from routine H PTRC‐HGSOC platinum resistance AUROC 0.673), with attenuation in squamous histologies. True external validation using the frozen TCGA‐trained model on CPTAC‐LUAD yielded AUROC 0.671, confirming cross‐institutional generalization. Pathway specificity analysis demonstrated that the apparent TP53 correlation was mediated through HRD (partial r = 0.112 after controlling for scarHRD), and evaluation on MMR‐deficient endometrial carcinoma yielded below‐random prediction (AUC = 0.445), ruling out general genomic instability capture. Sensitivity analysis across label definitions (scarHRD ≥ 33 and ≥ 42) showed robust performance, and a BRCA1/2 mutation‐trained comparator performed near‐randomly (AUC = 0.486), confirming that learned features reflect HRD biology beyond single‐gene effects. IHGAMP supports a screening/triage role to prioritize confirmatory molecular testing where appropriate.

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Cite This Study

Zafar et al. (2026) studied this question.

synapsesocial.com/papers/69edad8f4a46254e215b52bdhttps://doi.org/10.1111/apm.70211
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