Evidence map›Paper›PMID 39695482›Full record

ArticleBMC cancer2024

Construction of a novel copper-induced-cell-death-related gene signature for prognosis in colon cancer, with focus on KIF7.

Hua Li, Jingying Chen, Zhengxian Liu, Lujuan Pan, Xiaoling Lan, Lihe Jiang, Fuda Huang

Abstract read
In one paragraph

Article in BMC cancer, 2024. 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

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

3 citing papers in PubMed.

  1. Article
  2. Multi-Omics Analysis IdentifiedInternational journal of molecular sciences · 2026
    Article
  3. Review
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

7 authors.

Hua Li *Department of General Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18 Zhongshan 2nd Road, Baise, Guangxi, 533000, China.
Jingying Chen *Department of General Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18 Zhongshan 2nd Road, Baise, Guangxi, 533000, China.
Zhengxian Liu *Department of General Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18 Zhongshan 2nd Road, Baise, Guangxi, 533000, China.
Lujuan PanDepartment of Gastroenterology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China.
Xiaoling LanKey Laboratory of Tumor Molecular Pathology of Baise, Baise, Guangxi, China.
Lihe JiangSchool of Basic Medical Sciences, Youjiang Medical University for Nationalities, No. 98 Chengxiang Road, Baise, Guangxi, 533000, China. jianglihe@ymun.edu.cn.
Fuda HuangDepartment of General Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, No. 18 Zhongshan 2nd Road, Baise, Guangxi, 533000, China. yj_huangfuda@163.com.

Funding

the Opening Fund of Fujian Provincial Key Laboratory of Innovative Drug Target Research FJ-YW-2022KF07
6 · The paper itself

Abstract

backgroundColon cancer (CC) is a leading cause of cancer-related mortality worldwide. Accurate prognostic markers are essential for patient risk stratification and personalized treatment. Copper-induced cell-death-related genes (CRG) have emerged as potential players in cancer prognosis, yet their role in CC remains unclear.

methodsThis study aimed to comprehensively evaluate the expression of CRG and their roles in CC using gene expression and clinical data from TCGA and GEO databases. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) analyses identified prognostic genes, leading to the construction of a CRG prognostic signature. The signature's predictive accuracy was validated using Kaplan-Meier survival curves, Receiver Operating Characteristic (ROC) curves, and a nomogram model. Additionally, we conducted experiments including immunofluorescence staining and cellular assays to validate the key genes' biological functions.

resultsA 12-gene CRG signature was significantly associated with overall survival in CC patients. The high-risk group, as classified by median risk score, exhibited significantly shorter survival times compared to the low-risk group. The signature's predictive accuracy was further confirmed with Area Under the Curve (AUC) scores exceeding 0.75 in TCGA and GSE17536 cohorts. Notably, the risk score was significantly correlated with immune checkpoints, chemotherapy sensitivity, and tumor microenvironment. Furthermore, the risk score showed a strong association with immunotherapy response in patients from GSE78220 and GSE39688 cohorts. Bioinformatics analysis of KIF7, a key gene within the signature, revealed its upregulation in CC and significant associations with tumor mutation burden, microsatellite instability, and immune cell infiltration across various cancers. Experiments confirmed that KIF7 was upregulated in CC and its knockdown reduced cell proliferation, migration, and invasion.

conclusionThe CRG prognostic signature can effectively predict overall survival, immune microenvironment and chemotherapy response in CC. KIF7, as a potential prognostic marker, has significant potential for the prediction and treatment of CC.

Indexed as

Biomarkers, TumorColonic NeoplasmsCopperKinesinsCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleNomogramsPrognosisROC CurveTranscriptomeTumor MicroenvironmentBiomarkers, TumorCopperKinesinsColon cancerCopper-induced cell deathCuproptosisImmunotherapyKIF7Prognostic signatureTumor microenvironment

Identifiers

PMID39695482
PMCPMC11656869

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LicenceCC BY-NC-ND
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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.