CancerTracer

CancerTracer is a manually curated and integrated database aims to help researchers to decipher tumor heterogeneity at individual patient level. It contains two types of tumor heterogeneity data: 1) Intra-tumor or Intra-metastatic heterogeneity: the presence of multiple subclones within a primary tumor or a single metastatic lesion; 2) Inter-metastatic heterogeneity: the presence of different subclones in different metastatic lesions of the same patient. Somatic mutations and copy number alterations are available in CancerTracer, since both of them are principal factors drive heterogeneity in cancer. The structured heterogeneity data enables researchers to identify trunk mutations in different cancer types and investigate the molecular mechanisms underlying intratumor heterogeneity.CancerTracer是一款经人工整理注释的整合型数据库，旨在助力研究人员在个体患者层面解析肿瘤异质性（tumor heterogeneity）。该数据库包含两类肿瘤异质性数据：1）瘤内或转移灶内异质性：指原发性肿瘤或单个转移病灶内存在多个亚克隆（subclones）；2）转移灶间异质性：指同一患者的不同转移病灶内存在不同亚克隆。CancerTracer收录了体细胞突变（somatic mutations）与拷贝数变异（copy number alterations），二者均为驱动癌症异质性的核心因素。该结构化异质性数据可帮助研究人员识别不同癌症类型中的主干突变（trunk mutations），并探究瘤内异质性背后的分子机制。

搜集汇总

背景与挑战

背景概述

CancerTracer是一个人工整理和集成的数据库，旨在帮助研究人员在个体患者层面解读肿瘤异质性，包含肿瘤内和转移灶间的异质性数据，如体细胞突变和拷贝数变异。该数据库的结构化数据支持识别不同癌症类型的主干突变，并探究肿瘤异质性的分子机制。