Evidence map›Paper›PMID 39391236›Full record

ArticleFrontiers in oncology2024

Anoikis in prostate cancer bone metastasis gene signatures and therapeutic implications.

Wei Xia, Miao Ye, Bo Jiang, Gang Xu, Guancheng Xiao, Qingming Zeng, Ruohui Huang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. 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

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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

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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.

Wei XiaDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Miao YeBreast Diagnosis and Treatment Center, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Bo JiangDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Gang XuDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Guancheng XiaoDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Qingming ZengDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.
Ruohui HuangDepartment of Urology, First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bone metastasis from prostate cancer severely impacts patient outcomes and quality of life. Anoikis, a form of programmed cell death triggered by the loss of cell-matrix interactions, plays a critical role in cancer progression. However, its precise relationship with prostate cancer-induced bone metastasis remains unclear. This study aims to elucidate this relationship, focusing on anoikis-related gene signatures, molecular pathways, and therapeutic implications. Methods: We used the TCGA-PRAD dataset for training, with MSKCC and GSE70769 as validation cohorts. To evaluate immunotherapy efficacy, we examined IMvigor 210 and GSE91016 datasets, and GSE137829 provided single-cell insights into prostate cancer. Specific anoikis-related genes (ARGs) were identified, and Random Survival Forest analysis and multivariate Cox regression were employed to develop anoikis-linked features. The 'clustanoikisProfilanoikis' and 'GSEA' packages were used to explore potential ARG-related pathways. Results: Analyzing 553 samples from TCGA, 231 from MSKCC, 94 from GSE70769, and single-cell data from 6 prostate cancer patients (GSE137829), we constructed a prognostic model based on 9 ARGs. GSVA revealed upregulation of carcinogenic pathways, including epithelial-mesenchymal transition, E2F targets, and angiogenesis, with downregulation of metabolic pathways. Significant differences in somatic mutations were observed between cohorts, with a positive correlation between anoikis scores and tumor mutational burden (TMB). Immune landscape analysis suggested high-risk patients might benefit more from chemotherapy than immunotherapy based on their risk score. Single-cell analysis indicated overactivation of carcinogenic pathways in the high anoikis score group. Conclusion: This study elucidates the complex interplay between anoikis and bone metastasis in prostate cancer. Our findings highlight the critical role of anoikis in metastatic progression, enhancing the understanding of key biomarkers and molecular dynamics. The identified anoikis-related gene signatures and disrupted pathways offer promising avenues for predictive and therapeutic strategies in prostate cancer management.

Indexed as

anoikisbioinformaticsmetastasismodelprostate cancer

Identifiers

PMID39391236
PMCPMC11464922

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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.