SurGen: 1020 H&E-stained whole-slide images with survival and genetic markers.

ABSTRACT:

Background

Cancer remains one of the leading causes of morbidity and mortality worldwide. Comprehensive datasets that combine histopathological images with genetic and survival data across various tumour sites are essential for advancing computational pathology and personalised medicine.

Results

We present SurGen, a dataset comprising 1,020 H&E-stained whole-slide images (WSIs) from 843 colorectal cancer cases. The dataset includes detailed annotations for key genetic mutations (KRAS, NRAS, BRAF) and mismatch repair status, as well as survival data for 426 cases. We illustrate SurGen's utility with a proof-of-concept model that predicts mismatch repair status directly from WSIs, achieving a test area under the receiver operating characteristic curve of 0.8273. These prelimin

SUBMITTER: Myles C 

PROVIDER: S-EPMC12569769 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature