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

Authors :
Pei-Hang Xu
Tianqi Li
Fengmei Qu
Mingkang Tian
Jun Wang
Hualei Gan
Dingwei Ye
Fei Ren
Yijun Shen
Source :
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.7dd3cd85e813405388bce5b486ef2455
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-024-03526-3