PDF(Sci-hub)
Abstract：
A critical obstacle in the field of colorectal cancer (CRC) is the establishment of precise tumor subtypes to facilitate the development of targeted therapeutic regimens. While dysregulated mucin production is a histopathological feature of multiple CRC subtypes, it is not clear how well these pathologies are associated with the proportion of goblet cells in the tumor, or whether or not this proportion is variable across all CRC. This study demonstrates that consensus molecular subtype 3 (CMS3) CRC tumors and cell lines are enriched for the expression of goblet cell marker genes. Further, the proportion of goblet cells in the tumor is associated with the probability of CMS3 subtype assignment and these CMS3 subtype tumors are mutually exclusive from mucinous adenocarcinoma pathologies. This study provides proof of principle for the use of machine learning classification systems to subtype tumors based on cellular content, and provides further context regarding the features weighing CMS3 subtype assignment.
摘要：
结直肠癌（CRC）领域的一个关键障碍是建立精确的肿瘤亚型以促进靶向治疗方案的发展。尽管粘蛋白产生失调是多种CRC亚型的组织病理学特征,目前尚不清楚这些病理与肿瘤中杯状细胞的比例有多好，或者这个比例在所有CRC中是否可变。这项研究表明，共有分子亚型3（CMS3）CRC肿瘤和细胞系富含杯状细胞标记基因的表达。Further,杯状细胞在肿瘤中的比例与CMS3亚型分配的概率相关,这些CMS3亚型肿瘤与粘液腺癌病理是相互排斥的.这项研究为使用机器学习分类系统来基于细胞含量的亚型肿瘤提供了原理证明，并提供了有关功能加权CMS3子类型分配的进一步上下文。
