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
AUTHORS (6)
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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