Evidence map›Paper›PMID 35047006›Full record

ArticleFrontiers in genetics2021

Identification and Validation of Immune-Related Prognostic Genes in the Tumor Microenvironment of Colon Adenocarcinoma.

Shenghua Pan, Tingting Tang, Yanke Wu, Liang Zhang, Zekai Song, Sisi Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Journal of Cancer · 2025
    Article
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

6 authors at 2 institutions in 1 country.

Shenghua PanDepartment of Pathology, Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Tingting TangDepartment of Pathology, Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yanke WuDepartment of Pathology, Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Liang ZhangDepartment of Pathology, Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Zekai SongDepartment of Pathology, Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Sisi YuDepartment of Pathology, Ruian People's Hospital, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Ruian People's Hospital · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) has been shown to be involved in angiogenesis, tumor metastasis, and immune response, thereby affecting the treatment and prognosis of patients. This study aims to identify genes that are dysregulated in the TME of patients with colon adenocarcinoma (COAD) and to evaluate their prognostic value based on RNA omics data. We obtained 512 COAD samples from the Cancer Genome Atlas (TCGA) database and 579 COAD patients from the independent dataset (GSE39582) in the Gene Expression Omnibus (GEO) database. The immune/stromal/ESTIMATE score of each patient based on their gene expression was calculated using the ESTIMATE algorithm. Kaplan-Meier survival analysis, Cox regression analysis, gene functional enrichment analysis, and protein-protein interaction (PPI) network analysis were performed. We found that immune and stromal scores were significantly correlated with COAD patients' overall survival (log rank

Indexed as

colon adenocarcinomaimmune/stromal scoresOMICS dataprotein–protein interaction networktumor microenvironment

Identifiers

PMID35047006
PMCPMC8762242
OpenAlexW4205323958

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.