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- Title
Establishment of an Immune Cell Infiltration Score to Help Predict the Prognosis and Chemotherapy Responsiveness of Gastric Cancer Patients.
- Authors
Jiang, Quan; Sun, Jie; Chen, Hao; Ding, Chen; Tang, Zhaoqing; Ruan, Yuanyuan; Liu, Fenglin; Sun, Yihong
- Abstract
The immune microenvironment plays a critical role in tumor biology. The molecular profiles of immune components and related genes are of tremendous value for the study of primary resistance to immune checkpoint blockers (ICBs) for gastric cancer (GC) and serve as prognostic biomarkers to predict GC survival. Recent studies have revealed that tumor immune cell infiltration (ICI) is an indicator of the survival and responsiveness to chemotherapy in GC patients. Here, we describe the immune cell landscape based on the ESTIMATE and CIBERSORT algorithms to help separate GC into 3 ICI clusters using the unsupervised clustering method. Further in-depth analyses, such as differential expression gene (DEG) analysis and principal component analysis (PCA), help to establish an ICI scoring system. A low ICI score is characterized by an increased tumor mutation burden (TMB). The combination of the ICI score and TMB score better predicts the survival of GC patients. Analyses based on public and our own database revealed that the ICI scoring system could also help predict the survival and chemotherapy responsiveness of GC patients. The present study demonstrated that the ICI score may be an effective prognostic biomarker and predictive indicator for chemotherapy and immunotherapy.
- Subjects
STOMACH cancer; PROGNOSIS; PRINCIPAL components analysis; CANCER patients; IMMUNE checkpoint proteins
- Publication
Frontiers in Oncology, 2021, Vol 11, p1
- ISSN
2234-943X
- Publication type
Article
- DOI
10.3389/fonc.2021.650673