Evidence map›Paper›PMID 35003085›Full record

ArticleFrontiers in immunology2021

Identification of Molecular Subtypes and a Prognostic Signature Based on Inflammation-Related Genes in Colon Adenocarcinoma.

Chenjie Qiu, Wenxiang Shi, Huili Wu, Shenshan Zou, Jianchao Li, Dong Wang, Guangli Liu, Zhenbiao Song, Xintao Xu, Jiandong Hu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
8.4field-weighted citation impact, top 1% 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

64 citing papers in PubMed, 96 citations in OpenAlex.

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  7. mCancer communications (London, England) · 2025
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4 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 1 country.

Chenjie QiuDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Wenxiang ShiDepartment of Pediatric Cardiology, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huili WuDepartment of Endodontics, Department of Oral & Maxillofacial Imaging, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China.
Shenshan ZouDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Jianchao LiDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Dong WangDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Guangli LiuDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Zhenbiao SongDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Xintao XuDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Jiandong HuDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Hui GengDepartment of General Surgery, Changzhou Hospital of Traditional Chinese Medicine, Changzhou, China.
Hangzhou Hospital of Traditional Chinese Medicine · CNNanjing Medical University · CNXinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both tumour-infiltrating immune cells and inflammation-related genes that can mediate immune infiltration contribute to the initiation and prognosis of patients with colon cancer. In this study, we developed a method to predict the survival outcomes among colon cancer patients and direct immunotherapy and chemotherapy. We obtained patient data from The Cancer Genome Atlas (TCGA) and captured inflammation-related genes from the GeneCards database. The package "ConsensusClusterPlus" was used to generate molecular subtypes based on inflammation-related genes obtained by differential expression analysis and univariate Cox analysis. A prognostic signature including four genes (PLCG2, TIMP1, BDNF and IL13) was also constructed and was an independent prognostic factor. Cluster 2 and higher risk scores meant worse overall survival and higher expression of human leukocyte antigen and immune checkpoints. Immune cell infiltration calculated by the estimate, CIBERSORT, TIMER, ssGSEA algorithms, tumour immune dysfunction and exclusion (TIDE), and tumour stemness indices (TSIs) were also compared on the basis of inflammation-related molecular subtypes and the risk signature. In addition, analyses of stratification, somatic mutation, nomogram construction, chemotherapeutic response prediction and small-molecule drug prediction were performed based on the risk signature. We finally used qRT-PCR to detect the expression levels of four genes in colon cancer cell lines and obtained results consistent with the prediction. Our findings demonstrated a four-gene prognostic signature that could be useful for prognostication in colon cancer patients and designing personalized treatments, which could provide new versions of personalized management for these patients.

Indexed as

Gene Expression Regulation, NeoplasticAdenocarcinomaBiomarkers, TumorBrain-Derived Neurotrophic FactorColonic NeoplasmsGene OntologyGene Regulatory NetworksHumansImmunotherapyInflammationInterleukin-13Kaplan-Meier EstimateLymphocytes, Tumor-InfiltratingNomogramsPhospholipase C gammaPrognosisBiomarkers, TumorBrain-Derived Neurotrophic FactorInterleukin-13Phospholipase C gammaPLCG2 protein, humanTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1colon adenocarcinomaimmune infiltrationinflammationmolecule subtypessignature

Identifiers

PMID35003085
PMCPMC8733947
OpenAlexW4200369067

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.