S100A2 Is a Prognostic Biomarker Involved in Immune Infiltration and Predict Immunotherapy Response in Pancreatic Cancer

PD-L1 Adult Male 0301 basic medicine Immunology Datasets as Topic Kaplan-Meier Estimate B7-H1 Antigen 03 medical and health sciences immune cells Lymphocytes, Tumor-Infiltrating Cell Line, Tumor Biomarkers, Tumor tumor microenvironment prognostic model Humans S100A2 Aged Aged, 80 and over Chemotactic Factors Gene Expression Profiling RC581-607 Middle Aged 3. Good health Pancreatic Neoplasms Nomograms Female immunotherapy Immunotherapy Immunologic diseases. Allergy Algorithms Carcinoma, Pancreatic Ductal
DOI: 10.3389/fimmu.2021.758004 Publication Date: 2021-11-30T13:06:13Z
ABSTRACT
Pancreatic cancer (PC) is a highly fatal and aggressive disease with its incidence mortality quite discouraging. It of great significance to construct an effective prognostic signature PC find the novel biomarker for optimization clinical decision-making. Due crucial role immunity in tumor development, model based on nine immune-related genes was constructed, which proved be The Cancer Genome Atlas (TCGA) training set, TCGA testing entire GSE78229 GSE62452 set. Furthermore, S100A2 (S100 Calcium Binding Protein A2) identified as gene occupying most paramount position risk model. Gene set enrichment analysis (GSEA), ESTIMATE CIBERSORT algorithm revealed that closely associated immune status microenvironment, mainly related lower proportion CD8+T cells activated NK higher M0 macrophages. Meanwhile, patients high expression might get more benefit from immunotherapy according immunophenoscore algorithm. Afterwards, our independent cohort also used demonstrate unfavorable marker PC, well remarkably positive correlation PD-L1. In conclusion, results responsible preservation immune-suppressive significant potentiality predicting prognosis response patients.
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