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结直肠癌的共识分子亚型受杯状细胞含量的影响。

Consensus molecular subtyping of colorectal cancers is influenced by goblet cell content.

机构信息

Genome, Cell, and Developmental Biology, Department of Biology, Indiana University Bloomington, Bloomington, IN 47405, United States; Medical Sciences Program, Indiana University School of Medicine, Bloomington, IN 47405, United States.

Medical Sciences Program, Indiana University School of Medicine, Bloomington, IN 47405, United States; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, United States; Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, United States.

出版信息

Cancer Genet. 2021 Jun;254-255:34-39. doi: 10.1016/j.cancergen.2021.01.009. Epub 2021 Jan 26.

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制定。虽然异常黏蛋白产生是多种 CRC 亚型的组织病理学特征,但尚不清楚这些病理学与肿瘤中杯状细胞的比例有多大关联,或者这种比例是否在所有 CRC 中都存在差异。本研究表明,共识分子亚型 3(CMS3)CRC 肿瘤和细胞系中杯状细胞标记基因的表达更为丰富。此外,肿瘤中杯状细胞的比例与 CMS3 亚型分配的概率相关,并且这些 CMS3 亚型肿瘤与黏液性腺癌病理学互斥。本研究为使用机器学习分类系统基于细胞含量对肿瘤进行亚型分类提供了原理证明,并进一步说明了影响 CMS3 亚型分配的特征。

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