Stromal score as a prognostic factor in primary gastric cancer and close association with tumor immune microenvironment

29Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Gastric cancer remains one of the major causes for tumor-related deaths worldwide. Our study aimed to provide an understanding of primary gastric cancer and prompt its clinical diagnosis and treatment. Methods: We integrated the expression profiles and overall survival information of primary gastric cancer in TCGA and GEO database and estimated the stromal score of each sample by the estimate R package. Stromal score and clinicopathologic characteristics associated with overall survival were analyzed by using Cox regression and the Kaplan-Meier method. Gene set enrichment analysis (GSEA) and KEGG analysis were performed to explore the potential molecular mechanism in TCGA dataset. The relationship between immunotherapy-associated markers or immune cell types and stromal score was explored by using Pearson correlation analysis. Results: A total of 796 samples were collected for the analysis. Patients with stromal score-high showed poor overall survival (P

References Powered by Scopus

Hallmarks of cancer: The next generation

51801Citations
N/AReaders
Get full text

Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden

2529Citations
N/AReaders
Get full text

PD-L1 expression as a predictive biomarker in cancer immunotherapy

1842Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Overexpressed PLAU and its potential prognostic value in head and neck squamous cell carcinoma

34Citations
N/AReaders
Get full text

A Prognostic Microenvironment-Related Immune Signature via ESTIMATE (PROMISE Model) Predicts Overall Survival of Patients With Glioma

34Citations
N/AReaders
Get full text

Establishment of a Prognostic Signature of Stromal/Immune-Related Genes for Gastric Adenocarcinoma Based on ESTIMATE Algorithm

14Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Mao, M., Yu, Q., Huang, R., Lu, Y., Wang, Z., & Liao, L. (2020). Stromal score as a prognostic factor in primary gastric cancer and close association with tumor immune microenvironment. Cancer Medicine, 9(14), 4980–4990. https://doi.org/10.1002/cam4.2801

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 9

90%

Researcher 1

10%

Readers' Discipline

Tooltip

Medicine and Dentistry 4

40%

Engineering 3

30%

Biochemistry, Genetics and Molecular Bi... 2

20%

Physics and Astronomy 1

10%

Save time finding and organizing research with Mendeley

Sign up for free