Literature DB >> 34150181

Integrated analysis identifies S100A16 as a potential prognostic marker for pancreatic cancer.

Tian Chen1,2, De-Meng Xia3, Chao Qian2, Shan-Rong Liu1.   

Abstract

BACKGROUND: The new S100 protein family member S100A16 is functionally expressed in various cancers. This study explored the prognostic value and potential role of S100A16 in pancreatic cancer (PC).
METHODS: RNA-seq and clinical data were obtained from The Cancer Genome Atlas-Pancreatic Adenocarcinoma (TCGA-PAAD) dataset to compare the expression level of S100A16 between groups. The genes co-expressed with S100A16 in TCGA-PAAD were analyzed using cBioPortal. Gene Ontology and Kyoto Encyclopedia of Genes and genomes enrichment analyses were also performed on these genes. Pathways related to S100A16 expression dysregulation were explored using gene set enrichment analysis. The Tumor Immune Estimation Resource was used to analyze the correlation between S100A16 and infiltrating immune cells. The Kaplan-Meier method and Cox analyses were used to assess the prognostic significance of S100A16 for PC.
RESULTS: The S100A16 expression level was high in PC and increased with the degree of malignancy. The S100A16 functions in PC were mainly enriched in the immune modules, but negatively correlated with the immune activity (T-cell, cytokine, immune, co-receptor, signaling adaptor, cell adhesion molecule, chemokine, and JAK/STAT signaling) and infiltration level (T cells and macrophages). The strongest negative correlation was observed between the expression of CD8+ T cells and S100A16. Furthermore, high S100A16 expression also indicated worse overall survival and, therefore, worse prognosis of PC.
CONCLUSION: S100A16 is a potential independent prognostic marker and immunotherapy target for PC. Mechanistically, S100A16 potentially affects prognosis by extensive immunosuppression, including the inhibition of the anti-tumor immune response of CD8+ T cells. AJTR
Copyright © 2021.

Entities:  

Keywords:  CD8+ T cells; S100A16; immune infiltration; immunosuppression; pancreatic cancer; prognostic marker

Year:  2021        PMID: 34150181      PMCID: PMC8205789     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  34 in total

Review 1.  Pancreatic cancer.

Authors:  Jonathan D Mizrahi; Rishi Surana; Juan W Valle; Rachna T Shroff
Journal:  Lancet       Date:  2020-06-27       Impact factor: 79.321

2.  S100A16, a ubiquitously expressed EF-hand protein which is up-regulated in tumors.

Authors:  Ingo Marenholz; Claus W Heizmann
Journal:  Biochem Biophys Res Commun       Date:  2004-01-09       Impact factor: 3.575

3.  S100A16 is a Prognostic Marker for Lung Adenocarcinomas.

Authors:  Keita Saito; Makoto Kobayashi; Ryo Nagashio; Shinichiro Ryuge; Ken Katono; Hiroyasu Nakashima; Benio Tsuchiya; Shi-Xu Jiang; Makoto Saegusa; Yukitoshi Satoh; Noriyuki Masuda; Yuichi Sato
Journal:  Asian Pac J Cancer Prev       Date:  2015

4.  Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma.

Authors: 
Journal:  Cancer Cell       Date:  2017-08-14       Impact factor: 31.743

Review 5.  S100 proteins in cancer.

Authors:  Anne R Bresnick; David J Weber; Danna B Zimmer
Journal:  Nat Rev Cancer       Date:  2015-02       Impact factor: 60.716

Review 6.  Tumour heterogeneity and the evolutionary trade-offs of cancer.

Authors:  Jean Hausser; Uri Alon
Journal:  Nat Rev Cancer       Date:  2020-02-24       Impact factor: 60.716

Review 7.  Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma.

Authors:  Aaron J Grossberg; Linda C Chu; Christopher R Deig; Eliot K Fishman; William L Hwang; Anirban Maitra; Daniel L Marks; Arnav Mehta; Nima Nabavizadeh; Diane M Simeone; Colin D Weekes; Charles R Thomas
Journal:  CA Cancer J Clin       Date:  2020-07-19       Impact factor: 508.702

Review 8.  Friend or Foe: S100 Proteins in Cancer.

Authors:  Chantal Allgöwer; Anna-Laura Kretz; Silvia von Karstedt; Mathias Wittau; Doris Henne-Bruns; Johannes Lemke
Journal:  Cancers (Basel)       Date:  2020-07-24       Impact factor: 6.639

9.  Analysis of expression differences of immune genes in non-small cell lung cancer based on TCGA and ImmPort data sets and the application of a prognostic model.

Authors:  Lei Sun; Zhe Zhang; Yao Yao; Wen-Ya Li; Jia Gu
Journal:  Ann Transl Med       Date:  2020-04
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  1 in total

1.  Prognostic Values and Clinical Significance of S100 Family Member's Individualized mRNA Expression in Pancreatic Adenocarcinoma.

Authors:  Xiaomin Li; Ning Qiu; Qijuan Li
Journal:  Front Genet       Date:  2021-11-03       Impact factor: 4.599

  1 in total

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