Evidence map›Paper›PMID 36158119›Full record

ArticleComputational and mathematical methods in medicine2022

GPC1 Is Associated with Poor Prognosis and Treg Infiltration in Colon Adenocarcinoma.

Ying Liu, Hui Ren, Mu-Qing Yang, Ji-Yu Li

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ying LiuDepartment of General Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200092, China.ORCID https://orcid.org/0000-0003-4724-4267
Hui RenSchool of Pharmacy, East China University of Science and Technology, Shanghai, China.
Mu-Qing YangDepartment of General Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Ji-Yu LiDepartment of General Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200092, China.ORCID https://orcid.org/0000-0002-2529-2914

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glypican-1 (GPC1) is a glycosylated protein recognized as a promising biomarker for cancer. Nonetheless, there have been few systematic studies on GPC1 in colon adenocarcinoma (COAD). We conducted bioinformatic analysis based on The Cancer Genome Atlas (TCGA) and used clinical samples to verify that GPC1 is overexpressed in colon adenocarcinoma. Kaplan-Meier analysis showed that higher GPC1 expression was associated with poor overall survival (OS). The Cox regression model further showed that GPC1 expression is an independent negative prognostic factor for COAD. Gene set enrichment analysis demonstrated that multiple oncogenic signaling pathways were differentially enriched in GPC1 high- versus low-expressing COAD tumors, including DNA methylation, G2/M damage checkpoint, and telomere dysfunction. We observed a positive correlation between GPC1 expression and immune cell infiltration, such as regulatory T cells (Tregs), macrophages, and mast cells, and immunohistochemistry of 50 COAD tissues revealed that GPC1 expression was positively associated with Treg enrichment. Our results provide a promising candidate gene to predict the prognosis of COAD and new insights into tumor immunity. Further research is required to validate these results.

Indexed as

AdenocarcinomaColonic NeoplasmsGlypicansHumansPrognosisT-Lymphocytes, RegulatoryGlypicansGPC1 protein, human

Identifiers

PMID36158119
PMCPMC9492339

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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.