Evidence map›Paper›PMID 35116579›Full record

ArticleTranslational cancer research2021

Progesterone receptor gene serves as a prognostic biomarker associated with immune infiltration in gastric cancer: a bioinformatics analysis.

Manyu Li, Cheng Zhou

Open access · diamondAbstract read
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Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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  5. Single-cell transcriptome analysis identifies subclusters and signature with N-glycosylation in endometrial cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  9. Value of serum tumor markers in early differential diagnosis of spinal tumors and spinal infections.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
    Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Manyu LiDivision I of In Vitro Diagnostics for Infectious Diseases, Institute for In Vitro Diagnostics Control, National Institutes for Food and Drug Control, Beijing, China.
Cheng ZhouDivision I of In Vitro Diagnostics for Infectious Diseases, Institute for In Vitro Diagnostics Control, National Institutes for Food and Drug Control, Beijing, China.
National Institutes for Food and Drug Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is one of the most prevalent cancers globally with a poor prognosis. The progesterone receptor gene (PGR), which encodes the progesterone receptor (PR), can modulate the immune response in many cancers, but its correlation with prognosis and immune infiltration in GC remains unclear. We aimed to investigate the relationship between PGR expression and prognosis in GC patients.

methodsThe expression profile was obtained and the relationship between PGR expression and cancer prognosis was analyzed by Oncomine, Tumor Immune Estimation Resource (TIMER), Kaplan-Meier plotter, the PrognoScan database and Gene Expression Profiling Interactive Analysis (GEPIA) database using the minimum P value approach and log-rank method for prognosis analysis. Next, the correlation between the expression level of PGR and immune cell infiltration by the Spearman method using TIMER and GEPIA.

resultsA correlation of elevated PGR expression with poorer prognosis in GC was observed, with overall survival (OS) hazard ratio (HR) was 1.74 [95% confidence interval (CI): 1.4-2.17, P value =6.2e-7] and progression-free survival (PFS) HR was 2.09 (95% CI: 1.58-2.78, P value =1.6e-7). Also, high expression of PGR was related to worse OS and PFS in patients of each N stage in GC, with the highest OS and PFS HR values in stage N1. PGR expression in stomach adenocarcinoma (STAD) was significantly correlated with levels of B cells, CD8+T cells, CD4+T cells, macrophages, neutrophils and dendritic cells. It was also observed that PGR expression was related to a variety of immune cell markers.

conclusionsPGR expression correlated with prognosis and immune cell infiltration in GC, indicating PGR is a potential prognostic biomarker in GC patients.

Indexed as

Bioinformaticsgastric cancer (GC)immune infiltrationprogesterone receptor geneprognosis

Identifiers

PMID35116579
PMCPMC8799212
OpenAlexW3172738568

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.