Evidence map›Paper›PMID 40104721›Full record

ArticleTranslational cancer research2025

Identification of Fanconi anemia pathway genes as novel prognostic biomarkers and therapeutic targets for breast cancer.

Yunyong Wang, Xiaohang Lu, Hongsheng Lin, Yangling Zeng, Jiaqian He, Jinna Tan, Mingfen Li

Abstract read
In one paragraph

Article in Translational cancer research, 2025. 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.

Yunyong Wang *Department of Graduate School, Guangxi University of Chinese Medicine, Nanning, China.
Xiaohang Lu *Department of Graduate School, Guangxi University of Chinese Medicine, Nanning, China.
Hongsheng LinDepartment of Laboratory Medicine, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China.
Yangling ZengDepartment of Graduate School, Guangxi University of Chinese Medicine, Nanning, China.
Jiaqian HeDepartment of Graduate School, Guangxi University of Chinese Medicine, Nanning, China.
Jinna TanDepartment of Graduate School, Guangxi University of Chinese Medicine, Nanning, China.
Mingfen LiDepartment of Laboratory Medicine, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, breast cancer is one of the most common cancers with poor prognosis. The Fanconi anemia (FA) pathway genes maintain genome stability and play important roles in human diseases, including cancer. However, the prognostic values and biological roles of FA pathway genes in breast cancer have not been clarified. This study aims to investigate the potential of FA pathway genes as prognostic biomarkers and therapeutic targets in breast cancer. Methods: In this study, the Oncomine Cancer Microarray (ONCOMINE), University of ALabama at Birmingham Cancer (UALCAN), Kaplan-Meier plotter, cBio Cancer Genomics Portal (cBioPortal), Gene Expression Profiling Interactive Analysis (GEPIA), Gene Multi-Association Network Integration Algorithm (GeneMANIA), the Database for Annotation, Visualization and Integrated Discovery (DAVID) and Tumor Immune Estimation Resource (TIMER) databases were used to investigate the transcriptional and survival data of FA pathway genes in patients with breast cancer. Results: Most of the FA pathway genes were found to be significantly upregulated in breast cancer tissues when compared to normal tissues. Additionally, the elevated expression levels of FA pathway genes were significantly associated with poor survival outcomes in breast cancer patients. Through functional enrichment analysis, the FA pathway genes were positively associated with cell cycle and nucleoplasm and negatively correlated with signal recognition particle-dependent co-translational protein targeting to membrane and ribosome. Furthermore, the expression levels of FA pathway genes exhibited a significant positive association with immune infiltration. Conclusions: The FA pathway genes are potential prognostic biomarkers for breast cancer and may offer effective as well as new strategies for cancer management.

Indexed as

biomarkerBreast cancerDNA repairFanconi anemia pathway (FA pathway)prognosis

Identifiers

PMID40104721
PMCPMC11912030

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.