PDF(Pubmed)
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.
摘要：
膀胱癌是泌尿系统中癌症相关死亡的主要原因之一。了解基因组信息对膀胱癌的治疗和预后非常重要。但是目前用于识别突变的方法耗时耗力。现在有许多新的和方便的方法来预测从病理切片癌变基因组学。然而,公开可用的数据集是有限的，尤其是亚洲人口。在这项研究中,我们开发了一个数据集,该数据集包含75例亚洲膀胱癌病例和112例全幻灯片图像,每位患者获得一到两张图像.该数据集提供了关于在这些患者中通过全外显子组测序得到的最频繁和临床显著的突变基因的信息。该数据集将有助于探索和开发新的膀胱癌诊断和治疗技术。
