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Sökning: WFRF:(Lu Binfeng) > A non-invasive 25-G...

A non-invasive 25-Gene PLNM-Score urine test for detection of prostate cancer pelvic lymph node metastasis

Guo, Jinan (författare)
Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Urol, Shenzhen, Peoples R China.;Shenzhen Peoples Hosp, Shenzhen Clin Res Ctr Geriatr, Shenzhen, Peoples R China.;Shenzhen Urol Minimally Invas Engn Ctr, Shenzhen, Peoples R China.,Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, China; Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People’s Hospital, Shenzhen, China; Shenzhen Urology Minimally Invasive Engineering Center, Shenzhen, China; Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Clinical Medicine Research Centre, Shenzhen, China; The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
Gu, Liangyou (författare)
Chinese Peoples Liberat Army PLA Gen Hosp, Med Ctr 3, Dept Urol, Beijing, Peoples R China.,Department of Urology, The Third Medical Centre, Chinese PLA General Hospital, Beijing, China,General Hospital of People's Liberation Army
Johnson, Heather (författare)
Olympia Diagnost Inc, Sunnyvale, CA USA.,Olympia Diagnostics, Inc., CA, Sunnyvale, United States,Biogen, Inc.
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Gu, Di (författare)
Guangzhou Med Univ, Affiliated Hosp 1, Dept Urol, Guangzhou, Peoples R China.,Department of Urology, The First affiliated Hospital of Guangzhou Medical University, Guangzhou, China
Lu, Zhenquan (författare)
Univ Hong Kong, Shenzhen Hosp, Shenzhen, Peoples R China.,The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
Luo, Binfeng (författare)
Univ Hong Kong, Shenzhen Hosp, Shenzhen, Peoples R China.,The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
Yuan, Qian (författare)
Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Urol, Shenzhen, Peoples R China.;Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen Peoples Hosp, Shenzhen, Peoples R China.,Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, China; The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
Zhang, Xuhui (författare)
Inst Basic Med Sci, Dept Biodiag, Beijing, Peoples R China.,Department of Bio-diagnosis, Institute of Basic Medical Sciences, Beijing, China
Xia, Taolin (författare)
First Peoples Hosp Foshan, Dept Urol, Foshan, Peoples R China.,Department of Urology, Foshan First People’s Hospital, Foshan, China
Zeng, Qingsong (författare)
Sun Yat Sen Univ, Affiliated Hosp 1, Dept Urol, Guangzhou, Peoples R China.,Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Wu, Alan H. B. (författare)
San Francisco Gen Hosp, Clin Labs, San Francisco, CA USA.,Clinical Laboratories, San Francisco General Hospital, CA, San Francisco, United States
Johnson, Allan (författare)
Kinet Real, Santa Clara, CA USA.,Kinetic Reality, Santa Clara, United States
Dizeyi, Nishtman (författare)
Lund University,Lunds universitet,Institutionen för translationell medicin,Medicinska fakulteten,Urologi, Malmö (Abrahamsson),Forskargrupper vid Lunds universitet,Molekylärgenetisk reproduktionsmedicin, Malmö,Department of Translational Medicine,Faculty of Medicine,Urological research, Malmö,Lund University Research Groups,Molecular genetic reproductive medicine, Malmö
Abrahamsson, Per Anders (författare)
Lund University,Lunds universitet,Urologi, Malmö (Abrahamsson),Forskargrupper vid Lunds universitet,Urological research, Malmö,Lund University Research Groups
Zhang, Heqiu (författare)
Inst Basic Med Sci, Dept Biodiag, Beijing, Peoples R China.,Department of Bio-diagnosis, Institute of Basic Medical Sciences, Beijing, China
Chen, Lingwu (författare)
Sun Yat Sen Univ, Affiliated Hosp 1, Dept Urol, Guangzhou, Peoples R China.,Department of Urology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
Xiao, Kefeng (författare)
Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Urol, Shenzhen, Peoples R China.;Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen Peoples Hosp, Shenzhen, Peoples R China.,Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, China; The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
Zou, Chang (författare)
Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Urol, Shenzhen, Peoples R China.;Shenzhen Urol Minimally Invas Engn Ctr, Shenzhen, Peoples R China.;Jinan Univ, Shenzhen Peoples Hosp, Shenzhen Publ Serv Platform Tumor Precis Med & Mol, Clin Med Coll 2, Shenzhen, Peoples R China.;Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen Peoples Hosp, Shenzhen, Peoples R China.;Southwest Med Univ, Sch Pharm, Key Lab Med Electrophysiol, Educ Minist, Luzhou, Peoples R China.,Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, China; Shenzhen Urology Minimally Invasive Engineering Center, Shenzhen, China; Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Clinical Medicine Research Centre, Shenzhen, China; The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China; Key Laboratory of Medical Electrophysiology of Education Ministry, School of Pharmacy, Southwest Medical University, Luzhou, China
Persson, Jenny L., Professor (författare)
Umeå University,Malmö University,Umeå universitet,Malmö universitet,Institutionen för biomedicinsk vetenskap (BMV),Umeå Univ, Dept Mol Biol, Umeå, Sweden.,Institutionen för molekylärbiologi (Medicinska fakulteten),Department of Biomedical Sciences, Malmö University, Malmö, Sweden
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Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Urol, Shenzhen, Peoples R China;Shenzhen Peoples Hosp, Shenzhen Clin Res Ctr Geriatr, Shenzhen, Peoples R China.;Shenzhen Urol Minimally Invas Engn Ctr, Shenzhen, Peoples R China. Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University), Shenzhen, China; Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People’s Hospital, Shenzhen, China; Shenzhen Urology Minimally Invasive Engineering Center, Shenzhen, China; Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Clinical Medicine Research Centre, Shenzhen, China; The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China (creator_code:org_t)
2024
2024
Engelska.
Ingår i: Prostate Cancer and Prostatic Diseases. - : Nature Publishing Group. - 1365-7852 .- 1476-5608.
Relaterad länk:
https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
http://dx.doi.org/10... (free)
https://urn.kb.se/re...
https://doi.org/10.1...
https://urn.kb.se/re...
https://lup.lub.lu.s...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Prostate cancer patients with pelvic lymph node metastasis (PLNM) have poor prognosis. Based on EAU guidelines, patients with >5% risk of PLNM by nomograms often receive pelvic lymph node dissection (PLND) during prostatectomy. However, nomograms have limited accuracy, so large numbers of false positive patients receive unnecessary surgery with potentially serious side effects. It is important to accurately identify PLNM, yet current tests, including imaging tools are inaccurate. Therefore, we intended to develop a gene expression-based algorithm for detecting PLNM. Methods: An advanced random forest machine learning algorithm screening was conducted to develop a classifier for identifying PLNM using urine samples collected from a multi-center retrospective cohort (n = 413) as training set and validated in an independent multi-center prospective cohort (n = 243). Univariate and multivariate discriminant analyses were performed to measure the ability of the algorithm classifier to detect PLNM and compare it with the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram score. Results: An algorithm named 25 G PLNM-Score was developed and found to accurately distinguish PLNM and non-PLNM with AUC of 0.93 (95% CI: 0.85-1.01) and 0.93 (95% CI: 0.87-0.99) in the retrospective and prospective urine cohorts respectively. Kaplan-Meier plots showed large and significant difference in biochemical recurrence-free survival and distant metastasis-free survival in the patients stratified by the 25 G PLNM-Score (log rank P < 0.001 and P < 0.0001, respectively). It spared 96% and 80% of unnecessary PLND with only 0.51% and 1% of PLNM missing in the retrospective and prospective cohorts respectively. In contrast, the MSKCC score only spared 15% of PLND with 0% of PLNM missing. Conclusions: The novel 25 G PLNM-Score is the first highly accurate and non-invasive machine learning algorithm-based urine test to identify PLNM before PLND, with potential clinical benefits of avoiding unnecessary PLND and improving treatment decision-making.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

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