Evidence map›Paper›PMID 39697756›Full record

ArticleTranslational cancer research2024

Prognostic significance of B cell senescence-associated genes as risk markers in prostate adenocarcinoma.

Huaiying Zheng, Wei Jiang, Shaoxing Zhu, Xiaobao Chen

Abstract read
In one paragraph

Article in Translational cancer research, 2024. 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
–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

3 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

4 authors.

Huaiying ZhengDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Wei JiangDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Shaoxing ZhuDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Xiaobao ChenDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate adenocarcinoma (PRAD) is a common male urinary system cancer, and its targeted treatment is difficult. This study aimed to investigate the value of B cell senescence-related genes in PRAD prognosis. Methods: PRAD sample expression and clinical information were downloaded from The Cancer Genome Atlas (TCGA) Program and Gene Expression Omnibus (GEO) databases, and B cell senescence-related gene sets were obtained from the Genecards library. The prognostic model was constructed by univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses of PRAD differentially expressed genes significantly related to B cell senescence. The Kaplan-Meier (K-M) survival curve and receiver operating characteristic (ROC) curve were drawn to verify the survival rate difference between the high and low risk score groups of the model. The differences of immune characteristics between high and low risk groups were evaluated by single sample gene set enrichment analysis (ssGSEA), ESTIMATE and CIBERSORT. The tumor mutation burden (TMB) score was used to assess the variation in genomic mutations across the groups. Small molecule drugs were screened through the GDSC library. Ultimately, in order to examine the risk assessment model's practicality, a nomogram was created. Results: Three genes Conclusions: This study constructed and verified a B cell senescence-related gene model that can predict prognosis of PRAD. More importantly, it provides a reference standard for guiding the prognosis of PRAD patients.

Indexed as

B cell senescenceimmune microenvironmentprostate adenocarcinoma (PRAD)The Cancer Genome Atlas (TCGA)

Identifiers

PMID39697756
PMCPMC11651796

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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.