Evidence map›Paper›PMID 36550211›Full record

ArticleBiochemical genetics2023

An Autophagy-Associated Prognostic Gene Signature for Breast Cancer.

Lei Cao, Na Huang, Jue Wang, Zhi Lan, Jiale Wei, Feng Li, Tianfang Li, Zongqi Feng, Lan Yu, Shuguang Zuo

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 76% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 1 country.

Lei Cao *Department of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Na Huang *Department of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Jue Wang *Department of Oncology, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Zhi LanDepartment of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Jiale WeiDepartment of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Feng LiDepartment of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Tianfang LiDepartment of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Zongqi FengDepartment of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China.
Lan YuDepartment of Clinical Medical Research Center, Inner Mongolia People's Hospital, Hohhot, 010010, China. yulan_im@yeah.net.
Shuguang ZuoLiuzhou Key Laboratory of Molecular Diagnosis, Guangxi Health Commission Key Laboratory of Molecular Diagnosis and Application, Affiliated Liutie Central Hospital of Guangxi Medical University, Liuzhou, Guangxi, China. zuosg@icloud.com.ORCID http://orcid.org/0000-0001-9649-1200
Inner Mongolia People's Hospital · CNFourth Affiliated Hospital of Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is closely related to breast cancer and has the dual role of promoting and inhibiting the progression of breast cancer. In this study, we aimed to establish an autophagy-related gene signature for the prognosis of breast cancer. A gene signature composed of the eight most survival-relevant autophagy-associated genes was identified by least absolute shrinkage and selection operator (LASSO) regression analysis. A risk score was calculated based on the gene signature, which divided breast cancer patients into low- or high-risk groups and showed good and poor prognosis, respectively. The risk score displayed good prognostic performance in both the training cohort (TCGA, 1-10-year AUC > 0.63) and the validation cohort (GEO, 1-10-year AUC > 0.66). The multivariate Cox regression and stratified analysis revealed that the risk score was an independent prognostic factor for breast cancer patients. Moreover, the high-risk score was associated with higher infiltration of neutrophils and M2-polarized macrophages, and lower infiltration of resting memory CD4

Indexed as

Breast NeoplasmsAutophagyCD8-Positive T-LymphocytesFemaleGlycolysisHumansPrognosisAutophagyBreast cancerGene signatureOverall survivalRisk score

Identifiers

PMID36550211
OpenAlexW4312113867

What OpenQuestion holds

Textmetadata
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.