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pmid:34408464

Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer.

Yichao Liang · Xin Wu · Qi Su · Yujie Liu · Hong Xiao

Journal of inflammation research · 2021 doi:10.2147/JIR.S321852

Paper

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Experiment

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Data

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Analysis

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pmid:34408464
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title
Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer.
doi
10.2147/JIR.S321852
pmid
34408464
authors array · 5 items
[0]
Yichao Liang
[1]
Xin Wu
[2]
Qi Su
[3]
Yujie Liu
[4]
Hong Xiao
journal
Journal of inflammation research
year
2021
abstract
PURPOSE: The inflammatory response plays a crucial role in the occurrence and development of colon cancer. In this study, we aimed to explore a novel prognostic model for patients with colon cancer (COAD) based on inflammatory response-related genes. METHODS: Inflammatory response-related genes were obtained from Molecular Signatures database. Univariate and multivariate Cox regression analyses were used for model construction based on TCGA dataset. GSE39582 dataset and qRT-PCR dataset were used for validation. Gene set variation analysis and gene set enrichment analysis were performed to explore the potential regulatory pathways. The immune cell infiltration level was analyzed via CIBERSORT. Immunohistochemistry analysis and experiments were used to explore the function of genes in model. RESULTS: In this study, a novel prognostic signature was identified using stepwise Cox proportional hazards regression analysis based on TCGA dataset. The results were subsequently validated in 562 patients from GSE39582 and a qRT-PCR data set from 70 tumor samples. Functional analysis indicated that the tumor microenvironment and immune cell infiltrate were different between high- and low-risk groups. Additionally, IHC results showed that the protein levels of prognostic genes were significantly different between COAD tissues and adjacent non-tumorous tissues, and prognostic genes could regulate the malignant phenotype of COAD cells. CONCLUSION: Overall, the inflammation-related gene signature can be used for prognostic prediction in patients with COAD.
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Statistical comparisons between two groups were calculated using Student’s two-tailed t-test, and p-values < 0.05 were considered statistically significant.
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Statistical comparisons between two groups were calculated using Student’s two-tailed t-test, and p-values < 0.05 were considered statistically significant.
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The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) application performing interface (API) was used to download the latest expression data and clinical follow-up information of patients with colon adenocarcinoma (COAD). This cohort 277 samples.
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The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) application performing interface (API) was used to download the latest expression data and clinical follow-up information of patients with colon adenocarcinoma (COAD). This cohort 277 samples.
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The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) application performing interface (API) was used to download the latest expression data and clinical follow-up information of patients with colon adenocarcinoma (COAD). This cohort 277 samples.
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The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) application performing interface (API) was used to download the latest expression data and clinical follow-up information of patients with colon adenocarcinoma (COAD). This cohort 277 samples.
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taxon
Homo sapiens
title
Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [Expression]
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2026-11-01T15:39:54Z
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The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) application performing interface (API) was used to download the latest expression data and clinical follow-up information of patients with colon adenocarcinoma (COAD). This cohort 277 samples.
basis
The paper names GSE39582 in National Center for Biotechnology Information (NCBI), GEO and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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filtration level was analyzed via CIBERSORT. Immunohistochemistry analysis and experiments were used to explor
[1]
een high- and low-risk groups. Additionally, IHC results showed that the protein levels of pr
[2]
ssues and paired normal tissues were tested. Immunohistochemistry (Figure 7A) showed that SLC4A4 was downregul
[3]
ctional analysis of 4 genes in the IRGS. (A) Immunohistochemical results showed that SLC4A4 was downregulated
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& PUMC Medical College (Beijing, China). The cell lines were cultured in 1640 medium supplemented with 10% fetal b
[1]
ollege (Beijing, China). The cell lines were cultured in 1640 medium supplemented with 10% fetal bovi
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34408464", "kind": "science-record", "revision": 8, "content_hash": "sha256:5031eeb78aa09d1e4157b85e698ecfdfb8b5a0d2f1c424285ac1c6a64f221c79", "created_at": "2026-11-01T15:41:48Z", "updated_at": "2026-11-01T22:04:29Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Validation of a Novel Inflammatory Response-Related Gene Signature for the Prognosis of Colon Cancer.", "doi": "10.2147/JIR.S321852", "pmid": "34408464", "authors": ["Yichao Liang", "Xin Wu", "Qi Su", "Yujie Liu", "Hong Xiao"], "journal": "Journal of inflammation research", "year": 2021, "abstract": "PURPOSE: The inflammatory response plays a crucial role in the occurrence and development of colon cancer. In this study, we aimed to explore a novel prognostic model for patients with colon cancer (COAD) based on inflammatory response-related genes.\nMETHODS: Inflammatory response-related genes were obtained from Molecular Signatures database. Univariate and multivariate Cox regression analyses were used for model construction based on TCGA dataset. GSE39582 dataset and qRT-PCR dataset were used for validation. Gene set variation analysis and gene set enrichment analysis were performed to explore the potential regulatory pathways. The immune cell infiltration level was analyzed via CIBERSORT. Immunohistochemistry analysis and experiments were used to explore the function of genes in model.\nRESULTS: In this study, a novel prognostic signature was identified using stepwise Cox proportional hazards regression analysis based on TCGA dataset. The results were subsequently validated in 562 patients from GSE39582 and a qRT-PCR data set from 70 tumor samples. Functional analysis indicated that the tumor microenvironment and immune cell infiltrate were different between high- and low-risk groups. Additionally, IHC results showed that the protein levels of prognostic genes were significantly different between COAD tissues and adjacent non-tumorous tissues, and prognostic genes could regulate the malignant phenotype of COAD cells.\nCONCLUSION: Overall, the inflammation-related gene signature can be used for prognostic prediction in patients with COAD.", "claims": [{"id": "claim-method", "statement": "Statistical comparisons between two groups were calculated using Student’s two-tailed t-test, and p-values < 0.05 were considered statistically significant.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34408464", "locator": "sections[13] \"Statistical Analysis\" paragraph 2", "quote": "Statistical comparisons between two groups were calculated using Student’s two-tailed t-test, and p-values < 0.05 were considered statistically significant."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) application performing interface (API) was used to download the latest expression data and clinical follow-up information of patients with colon adenocarcinoma (COAD). 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE39582"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE39582"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34408464", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/JIR.S321852", "sha256": "sha256:387518d66d78952a7784843364f90ca581cb7391af0ea15aea1f9238577abb64", "bytes": 38302, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.2147/JIR.S321852", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8364916", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE39582", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE39582", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE39582", "version": null, "note": "The Cancer Genome Atlas (TCGA) Genomic Data Commons (GDC) application performing interface (API) was used to download the latest expression data and clinical follow-up information of patients with colon adenocarcinoma (COAD). 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Immunohistochemistry analysis and experiments were used to explor", "een high- and low-risk groups. Additionally, IHC results showed that the protein levels of pr", "ssues and paired normal tissues were tested. Immunohistochemistry (Figure 7A) showed that SLC4A4 was downregul", "ctional analysis of 4 genes in the IRGS. (A) Immunohistochemical results showed that SLC4A4 was downregulated"], "order_basis": "paper_text_order:778", "id": "assay:1"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["& PUMC Medical College (Beijing, China). The cell lines were cultured in 1640 medium supplemented with 10% fetal b", "ollege (Beijing, China). 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