Evidence map›Paper›PMID 35999846›Full record

ArticlePeerJ2022

A cholesterogenic gene signature for predicting the prognosis of young breast cancer patients.

Xiaoping Li, Chaorong Zhou, Chaoran Qiu, Weiwen Li, Qihe Yu, Hui Huang, Yiwen Zhang, Xin Zhang, Liangliang Ren, Xin Huang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. 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
0.7field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Xiaoping Li *Department of Breast Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Chaorong Zhou *Department of Gastrointestinal Surgery, Jiangmen Central Hospital, Jiangmen, China.
Chaoran QiuDepartment of Breast, Jiangmen Central Hospital, Jiangmen, China.
Weiwen LiDepartment of Breast, Jiangmen Central Hospital, Jiangmen, China.
Qihe YuDepartment of Oncology, Jiangmen Central Hospital, Jiangmen, China.
Hui HuangDepartment of Breast Surgery, Jiangmen Maternity & Child Health Care Hospital, Jiangmen, China.
Yiwen ZhangDepartment of Breast, Jiangmen Central Hospital, Jiangmen, China.
Xin ZhangClinical Experimental Center, Jiangmen Key Laboratory of Clinical Biobanks and Translational Research, Jiangmen Central Hospital, Jiangmen, China.
Liangliang RenClinical Experimental Center, Jiangmen Key Laboratory of Clinical Biobanks and Translational Research, Jiangmen Central Hospital, Jiangmen, China.
Xin HuangDepartment of Breast Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Qinghua ZhouDepartment of Breast Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jiangmen Central Hospital · CNFirst Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to establish a cholesterogenic gene signature to predict the prognosis of young breast cancer (BC) patients and then verified it using cell line experiments. Methods: In the bioinformatic section, transcriptional data and corresponding clinical data of young BC patients (age ≤ 45 years) were downloaded from The Cancer Genome Atlas (TCGA) database for training set. Differentially expressed genes (DEGs) were compared between tumour tissue ( Results: In the bioinformatic section, a total of 97 upregulated genes and 124 downregulated cholesterogenic genes were screened as DEGs in the TCGA for training the model. A risk scoring signature contained five cholesterogenic genes (risk score = -1.169 × GRAMD1C -0.992 × NFKBIA + 0.432 × INHBA + 0.261 × CD24 -0.839 × ACSS2) was established, which could differentiate the prognosis of young BC patients between high-risk and low-risk group (<0.001). The prediction value of chelesterogenic gene signature in excellent with AUC was 0.810 in TCGA dataset. Then the prediction value of the signature was verified in GSE131769 with Conclusion: The five-cholesterogenic-gene signature had independent prognostic value and robust reliability in predicting the prognosis of young BC patients. The cell experiment results suggested that NFKBIA played a protective role, while INHBA played the pro-cancer role in breast cancer.

Indexed as

Breast NeoplasmsCell LineCell SurvivalFemaleHumansMiddle AgedPrognosisReproducibility of ResultsBreast cancerCholesterogenic genesDifferentially expressed genesLipid metabolismPrognostic model

Identifiers

PMID35999846
PMCPMC9393010
OpenAlexW4292236357

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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.