Evidence map›Paper›PMID 40009266›Full record

ArticleDiscover oncology2025

Exploring BIRC family genes as prognostic biomarkers and therapeutic targets in prostate cancer.

Xiao-Xiang Yu, Yi Liu, Zeng-Mi Mo, Rong-Jiang Luo, Wen-Kai Chen

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Xiao-Xiang YuDepartment of Urology, The 923rd Hospital of Chinese People's Liberation Army, Nanning, 530021, Guangxi, China. yxx303@sina.com.
Yi LiuDepartment of Urology, The 923rd Hospital of Chinese People's Liberation Army, Nanning, 530021, Guangxi, China.
Zeng-Mi MoDepartment of Urology, The 923rd Hospital of Chinese People's Liberation Army, Nanning, 530021, Guangxi, China.
Rong-Jiang LuoDepartment of Urology, The 923rd Hospital of Chinese People's Liberation Army, Nanning, 530021, Guangxi, China.
Wen-Kai ChenDepartment of Urology, The 923rd Hospital of Chinese People's Liberation Army, Nanning, 530021, Guangxi, China.

Funding

Guangxi Zhuang Autonomous Region Health and Family Planning Commission Z-A20231089National Clinical Key Specialty Project Foundation 2021YFC2009300Natural Science Foundation of Guangxi Zhuang Autonomous Region 2014GXNSFBA118201
6 · The paper itself

Abstract

The potential oncogenic role of Baculoviral inhibitor of apoptosis (IAP) Repeat-Containing (BIRC) genes in prostate cancer (PCa) has yet to be fully investigated. Two genes associated with disease recurrence, BIRC5 and BIRC7, were identified through survival analysis, and prostate cancer patients were categorized into two subtypes, C1 and C2, based on these genes. We performed survival analyses to assess the relationship between subtypes and the prognosis of PCa. Single-cell dataset analysis was used to identify specific cell types with enriched expression of BIRC family genes. Our findings show that BIRC5 and BIRC7 exhibit higher expression in PCa tissues compared to non-cancerous tissues. High expression of BIRC5 and BIRC7 independently correlates with an adverse prognosis in PCa. The analysis of mechanisms reveals that the differentially expressed genes impact signaling pathways associated with cancer and immunity. BIRC5/BIRC7 correlate with several immune cells infiltrating levels including T cells and macrophages. Furthermore, our research indicates that elevated expression of BIRC5 is associated with immune infiltration in PCa. These findings highlight the potential of BIRC5/BIRC7 or C1 subtype as prognostic biomarkers, offering new insights into possible targets for the development of therapeutic biomarkers and immunotherapeutic for PCa.

Indexed as

Bioinformatics analysisBiomarkerBIRCImmune infiltrationPrognosisProstate cancer

Identifiers

PMID40009266
PMCPMC11865399

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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.