Evidence map›Paper›PMID 36401126›Full record

ArticleProstate cancer and prostatic diseases2023

Genetic profiling of hormone-sensitive and castration-resistant prostate cancers and identification of genetic mutations prone to castration-resistant prostate cancer.

Ze Wang, Xuzhi Yan, Peng Tang, Tang Tang, Yapeng Wang, Song Peng, Shuo Wang, Weihua Lan, Luofu Wang, Yao Zhang and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Prostate cancer and prostatic diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Cancer Stem Cells and Prostate Cancer: A Narrative Review.International journal of molecular sciences · 2023
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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

18 authors at 3 institutions in 2 countries.

Ze WangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.ORCID http://orcid.org/0000-0002-5398-6008
Xuzhi YanDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Peng TangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Tang TangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Yapeng WangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Song PengDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Shuo WangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Weihua LanDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.ORCID http://orcid.org/0000-0003-1186-195X
Luofu WangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.ORCID http://orcid.org/0000-0003-2314-8369
Yao ZhangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.ORCID http://orcid.org/0000-0002-9993-9231
Jun ZhangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.ORCID http://orcid.org/0000-0002-6949-3590
Ke LiDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.ORCID http://orcid.org/0000-0001-6306-2776
Zehua ShuDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Jing XuDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China.
Jun QinCAS Key Laboratory of Tissue Microenvironment and Tumor, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Nutrition and Health Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, PR China.
Dianzheng ZhangDepartment of Bio-Medical Sciences, Philadelphia College of Osteopathic Medicine, Philadelphia, PA, USA.
Jun JiangDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China. jiangjun_64@163.com.ORCID http://orcid.org/0000-0001-9408-2972
Qiuli LiuDepartment of Urology, Daping Hospital, Army Medical University, Chongqing, PR China. liuqiuli900827@163.com.ORCID http://orcid.org/0000-0002-9532-5654
Army Medical University · CNPhiladelphia College of Osteopathic Medicine · USShanghai Institute of Nutrition and Health · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82172721National Natural Science Foundation of China (National Science Foundation of China) 82172807
6 · The paper itself

Abstract

backgroundGenetic profiling of patients with prostate cancer could potentially identify mutations prone to castration-resistant prostate cancer (CRPC). Here, we aimed to identify the differences in genetic profiles of patients with hormone-sensitive prostate cancer (HSPC) and CRPC and stratify HSPC patients to identify mutations associated with CRPC progression.

methodsA total of 103 samples were collected, including 62 DNA samples from the tumor tissues of 59 HSPC patients and 41 cell-free DNA (cfDNA) samples from prostate cancer patients at different cancer stages. Targeted sequence was conducted on both the tissue DNA and cfDNA. The associations between mutations and clinical outcomes (CRPC-free time) were analyzed using χ

resultsBy comparing to that of cfDNA sequencing, the results from DNA sequencing of 1-needle (80%) and mixed 12-needle (77.8%) biopsies are highly comparable. FOXA1 (30.5%), CDK12 (23.7%), and TP53 (22.0%) were the top 3 most frequently mutated genes in HSPC patients; 50.8% (30/59) and 44.1% (26/59) HSPC patients had mutations in DDR and HRR pathway, respectively. Mutations in AR and APC as well as the members involved in the regulation of stem cell pluripotency and EMT pathway were often observed in CRPC samples. We established a panel of four genetic mutations (MSH2, CDK12, TP53, and RB1) to predict the risk of CRPC early progression with concordance index = 0.609 and the area under curve of the ROC curve as 0.838.

conclusionsIn this study, we demonstrated that the cfDNA can be used in genetic profiling in prostate cancer and our newly established panel is capable of predicting which mHSPC patient has a high risk of early CRPC progression.

Indexed as

Cell-Free Nucleic AcidsProstatic Neoplasms, Castration-ResistantGenetic ProfileHormonesHumansMaleMutationCell-Free Nucleic AcidsHormones

Identifiers

PMID36401126
OpenAlexW4309271413

What OpenQuestion holds

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Registered trials

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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.