Literature DB >> 34242996

A stromal and immune cell infiltration-based score model predicts prognosis and chemotherapy effect in colorectal cancer.

Qingqing Luo1, Feng He2, Jie Cao3.   

Abstract

The stromal and immune cells crosstalk with cancer cells in tumor microenvironment, but few studies have fully considered the overall landscape of the infiltrating stromal and immune cells in colorectal cancer. We enrolled 1836 colorectal cancer patients and divided them into the training, validation and test cohorts. 64 stromal and immune cells were quantified in each primary colorectal cancer tissue by estimating gene expression data using xCell algorithm. Univariate, LASSO and multivariate Cox regression analyses were subsequently employed to establish a stromal and immune score prognostic model based on 13 potential cell biomarkers. Patients of the three cohorts were divided into the high- and low-risk groups according to the cutoff value. Compared with the low-risk group, high-risk group showed significant shorter survival, worse clinicopathologic outcomings, higher cancer-related expressions and more active epithelial-mesenchymal transformation. 5-Fu and FUFOL chemotherapy regimens made the low-risk patients gain significant survival advantage, while none chemotherapy regimens benefited the high-risk group, which may benefit from immune checkpoint inhibitors. The nomogram combining the stromal and immune score with standard TNM staging system showed better predictive accuracy than TNM stage alone. The stromal and immune cell infiltration-based score model can effectively and efficiently predict the prognosis and chemotherapy effect in colorectal cancer.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemotherapy effect; Colorectal cancer; EMT; Prognosis; Stromal and immune score; xCell

Mesh:

Substances:

Year:  2021        PMID: 34242996     DOI: 10.1016/j.intimp.2021.107940

Source DB:  PubMed          Journal:  Int Immunopharmacol        ISSN: 1567-5769            Impact factor:   4.932


  2 in total

1.  Identification of mRNA Prognostic Markers for TGCT by Integration of Co-Expression and CeRNA Network.

Authors:  Fang Zhu; Zhizhong Liu; Qianyin Zhou; Jingyu Fan; Dai Zhou; Liu Xing; Hao Bo; Le Tang; Liqing Fan
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-21       Impact factor: 5.555

2.  Core immune cell infiltration signatures identify molecular subtypes and promote precise checkpoint immunotherapy in cutaneous melanoma.

Authors:  Zheng Zhu; Guoyin Li; Zhenning Li; Yinghua Wu; Yan Yang; Mingyang Wang; Huihua Zhang; Hui Qu; Zewen Song; Yuanmin He
Journal:  Front Immunol       Date:  2022-08-22       Impact factor: 8.786

  2 in total

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