Evidence map›Paper›PMID 37602872›Full record

ArticleAging2023

Construction of stemness gene score by bulk and single-cell transcriptome to characterize the prognosis of breast cancer.

Jun Lin, Deyi Feng, Jie Liu, Ye Yang, Xujin Wei, Wenqian Lin, Qun Lin

Abstract read
In one paragraph

Article in Aging, 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
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.

  1. 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.

Jun LinDepartment of Anesthesiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Deyi FengXiamen University, Xiamen 361100, China.
Jie LiuDepartment of Endoscopy, Shengli Clinical Medical College of Fujian Medical University, Fuzhou 350001, China.
Ye YangThe First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Xujin WeiThe Graduate School of Fujian Medical University, Fuzhou 350001, China.
Wenqian LinDepartment of Anesthesiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.
Qun LinDepartment of Anesthesiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is a heterogeneous disease characterized by significant differences in prognosis and therapy response. Numerous prognostic tools have been developed for breast cancer. Usually these tools are based on bulk RNA-sequencing (RNA-Seq) and ignore tumor heterogeneity. Consequently, the goal of this study was to construct a single-cell level tool for predicting the prognosis of BC patients. In this study, we constructed a stemness-risk gene score (SGS) model based on single-sample gene set enrichment analysis (ssGSEA). Patients were divided into two groups based on the median SGS. Patients with a high SGS scores had a significantly worse prognosis than those with a low SGS, and these groups exhibited differences in several tumor characteristics, such as immune infiltration, gene mutations, and copy number variants. Our results indicate that the SGS is a reliable tool for predicting prognosis and response to immunotherapy in BC patients.

Indexed as

Breast NeoplasmsFemaleHumansImmunotherapyMutationPrognosisTranscriptomebreast cancerprognosissingle-cell RNA-sequencingtumor microenvironment

Identifiers

PMID37602872
PMCPMC10496995

What OpenQuestion holds

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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.