Evidence map›Paper›PMID 38835789›Full record

ArticleFrontiers in medicine2024

Mining bone metastasis related key genes of prostate cancer from the STING pathway based on machine learning.

Guiqiang Li, Runhan Zhao, Zhou Xie, Xiao Qu, Yingtao Duan, Yafei Zhu, Hao Liang, Dagang Tang, Zefang Li, Weiyang He

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

The trial behind it

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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. Article
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

10 authors.

Guiqiang Li *Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Runhan Zhao *Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhou Xie *Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiao QuDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yingtao DuanDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yafei ZhuDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hao LiangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Dagang TangDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zefang LiDepartment of Orthopedics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Weiyang HeDepartment of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer (PCa) is the second most prevalent malignant tumor in male, and bone metastasis occurs in about 70% of patients with advanced disease. The STING pathway, an innate immune signaling mechanism, has been shown to play a key role in tumorigenesis, metastasis, and cancerous bone pain. Hence, exploring regulatory mechanism of STING in PCa bone metastasis will bring novel opportunities for treating PCa bone metastasis. Methods: First, key genes were screened from STING-related genes (SRGs) based on random forest algorithm and their predictive performance was evaluated. Subsequently, a comprehensive analysis of key genes was performed to explore their roles in prostate carcinogenesis, metastasis and tumor immunity. Next, cellular experiments were performed to verify the role of RELA in proliferation and migration in PCa cells, meanwhile, based on immunohistochemistry, we verified the difference of RELA expression between PCa primary foci and bone metastasis. Finally, based on the key genes to construct an accurate and reliable nomogram, and mined targeting drugs of key genes. Results: In this study, three key genes for bone metastasis were mined from SRGs based on the random forest algorithm. Evaluation analysis showed that the key genes had excellent prediction performance, and it also showed that the key genes played a key role in carcinogenesis, metastasis and tumor immunity in PCa by comprehensive analysis. In addition, cellular experiments and immunohistochemistry confirmed that overexpression of RELA significantly inhibited the proliferation and migration of PCa cells, and RELA was significantly low-expression in bone metastasis. Finally, the constructed nomogram showed excellent predictive performance in Receiver Operating Characteristic (ROC, AUC = 0.99) curve, calibration curve, and Decision Curve Analysis (DCA) curve; and the targeted drugs showed good molecular docking effects. Conclusion: In sum, this study not only provides a new theoretical basis for the mechanism of PCa bone metastasis, but also provides novel therapeutic targets and novel diagnostic tools for advanced PCa treatment.

Indexed as

bone metastasisnomogramprostate cancerrandom forestSTING

Identifiers

PMID38835789
PMCPMC11148254

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