Comprehensive Collection of Whole-Slide Images and Genomic Profiles for Patients with Bladder Cancer

TL;DR

This paper introduces a new dataset of bladder cancer cases with whole-slide images and genomic data, aiming to improve cancer diagnostics and treatment.

Contribution

The novel contribution is a dataset of 75 Asian bladder cancer cases with WSI and genomic profiles, addressing a gap in public resources for this population.

Findings

The dataset includes 75 Asian bladder cancer cases with 112 whole-slide images and genomic data.

The dataset highlights clinically significant mutated genes identified via whole-exome sequencing.

This dataset supports the development of new diagnostic and therapeutic technologies for bladder cancer.

Abstract

Bladder cancer is one of the leading causes of cancer-related mortality in the urinary system. Understanding genomic information is important in the treatment and prognosis of bladder cancer, but the current method used to identify mutations is time-consuming and labor-intensive. There are now many novel and convenient ways to predict cancerous genomics from pathological slides. However, the publicly available datasets are limited, especially for Asian populations. In this study, we developed a dataset consisting of 75 Asian cases of bladder cancers and 112 Whole-Slide Images with one to two images obtained for each patient. This dataset provides information on the most frequently and clinically significant mutated genes derived by whole-exome sequencing in these patients. This dataset will facilitate exploration and development of novel diagnostic and therapeutic technologies for bladder cancer.

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