Evidence map›Paper›PMID 33926457›Full record

ArticleWorld journal of surgical oncology2021

Identification of a ferroptosis-related gene signature predictive model in colon cancer.

Ye Wang, Heng-Bo Xia, Zhang-Ming Chen, Lei Meng, A-Man Xu

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
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  4. Frontiers in molecular biosciences · 2023
    Article
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  7. Article
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  11. Ferroptosis: Reviewing CRC with the Third Eye.Journal of inflammation research · 2022
    Review
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  13. Article
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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

5 authors at 1 institution in 1 country.

Ye Wang *Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, People's Republic of China.
Heng-Bo Xia *Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, People's Republic of China.
Zhang-Ming ChenDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, People's Republic of China.
Lei MengDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, People's Republic of China.
A-Man XuDepartment of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui Province, People's Republic of China. xuaman166@sina.com.ORCID http://orcid.org/0000-0003-1470-1978
Anhui Medical University · CN

Funding

National Natural Science Foundation of China No. 81572350
6 · The paper itself

Abstract

backgroundThe prognosis of colon cancer (CC) is challenging to predict due to its highly heterogeneous nature. Ferroptosis, an iron-dependent form of cell death, has roles in various cancers; however, the correlation between ferroptosis-related genes (FRGs) and prognosis in CC remains unclear.

methodsThe expression profiles of FRGs and relevant clinical information were retrieved from the Cancer Genome Atlas (TCGA) database. Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) regression model were performed to build a prognostic model in TCGA cohort.

resultsTen FRGs, five of which had mutation rates ≥ 3%, were found to be related to the overall survival (OS) of patients with CC. Patients were divided into high- and low-risk groups based on the results of Cox regression and LASSO analysis. Patients in the low-risk group had a significantly longer survival time than patients in the high-risk group (P < 0.001). Enrichment analyses in different risk groups showed that the altered genes were associated with the extracellular matrix, fatty acid metabolism, and peroxisome. Age, risk score, T stage, N stage, and M stage were independent predictors of patient OS based on the results of Cox analysis. Finally, a nomogram was constructed to predict 1-, 3-, and 5-year OS of patients with CC based on the above five independent factors.

conclusionA novel FRG model can be used for prognostic prediction in CC and may be helpful for individualized treatment.

Indexed as

Colonic NeoplasmsFerroptosisHumansNeoplasm StagingNomogramsPrognosisColon cancerFerroptosis-related genesPrognosis modelTCGA

Identifiers

PMID33926457
PMCPMC8086290
OpenAlexW3157750071

What OpenQuestion 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 OpenQuestion graph.