Startsida
Hjälp
Sök i LIBRIS databas

     

 

Sökning: onr:jwx1h900gfk7svkd > Development and val...

Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up [Elektronisk resurs]

Johnson, Heather (författare)
Guo, Jinan (författare)
Xuhui, Zhang (författare)
Zhang, Heqiu (författare)
Simoulis, Athanasios (författare)
Wu, Alan H. B. (författare)
Xia, Taolin (författare)
Li, Fei (författare)
Tan, Wanlong (författare)
Johnson, Allan (författare)
Dizeyi, Nishtman (författare)
Abrahamsson, Per-Anders (författare)
Kenner, Lukas (författare)
Feng, Xiaoyan (författare)
Zou, Chang (författare)
Xiao, Kefeng (författare)
Persson, Jenny L., 1964- (författare)
Chen, Lingwu (författare)
Jenny Persson (medarbetare)
Umeå universitet Medicinska fakulteten (utgivare)
Publicerad: BioMed Central, 2020
Engelska.
Ingår i: BMC Medicine. - 1741-7015. ; 18
Läs hela texten
Läs hela texten
Läs hela texten
  • E-artikel/E-kapitel
Sammanfattning Ämnesord
Stäng  
  • Background: Heterogeneity of prostate cancer (PCa) contributes to inaccurate cancer screening and diagnosis, unnecessary biopsies, and overtreatment. We intended to develop non-invasive urine tests for accurate PCa diagnosis to avoid unnecessary biopsies. Methods: Using a machine learning program, we identified a 25-Gene Panel classifier for distinguishing PCa and benign prostate. A non-invasive test using pre-biopsy urine samples collected without digital rectal examination (DRE) was used to measure gene expression of the panel using cDNA preamplification followed by real-time qRTPCR. The 25-Gene Panel urine test was validated in independent multi-center retrospective and prospective studies. The diagnostic performance of the test was assessed against the pathological diagnosis from biopsy by discriminant analysis. Uni- and multivariate logistic regression analysis was performed to assess its diagnostic improvement over PSA and risk factors. In addition, the 25-Gene Panel urine test was used to identify clinically significant PCa. Furthermore, the 25-Gene Panel urine test was assessed in a subset of patients to examine if cancer was detected after prostatectomy. Results: The 25-Gene Panel urine test accurately detected cancer and benign prostate with AUC of 0.946 (95% CI 0.963–0.929) in the retrospective cohort (n = 614), AUC of 0.901 (0.929–0.873) in the prospective cohort (n = 396), and AUC of 0.936 (0.956–0.916) in the large combination cohort (n = 1010). It greatly improved diagnostic accuracy over PSA and risk factors (p < 0.0001). When it was combined with PSA, the AUC increased to 0.961 (0.980–0.942). Importantly, the 25-Gene Panel urine test was able to accurately identify clinically significant and insignificant PCa with AUC of 0.928 (95% CI 0.947–0.909) in the combination cohort (n = 727). In addition, it was able to show the absence of cancer after prostatectomy with high accuracy. Conclusions: The 25-Gene Panel urine test is the first highly accurate and non-invasive liquid biopsy method without DRE for PCa diagnosis. In clinical practice, it may be used for identifying patients in need of biopsy for cancer diagnosis and patients with clinically significant cancer for immediate treatment, and potentially assisting cancer treatment follow-up.  

Ämnesord

Medical and Health Sciences  (hsv)
Clinical Medicine  (hsv)
Cancer and Oncology  (hsv)
Medicin och hälsovetenskap  (hsv)
Klinisk medicin  (hsv)
Cancer och onkologi  (hsv)
Urology and Nephrology  (hsv)
Urologi och njurmedicin  (hsv)
Oncology  (umu)
onkologi  (umu)
Medicine  (umu)
medicin  (umu)
molekylär medicin (genetik och patologi)  (umu)
molecular medicine (genetics and pathology)  (umu)
Computer Systems  (umu)
datorteknik  (umu)

Genre

government publication  (marcgt)

Indexterm och SAB-rubrik

machine learning
liquid biopsy
prostate cancer
diagnostics
Inställningar Hjälp

Ingår i annan publikation. Gå till titeln BMC Medicine

Om LIBRIS
Sekretess
Hjälp
Fel i posten?
Kontakt
Teknik och format
Sök utifrån
Sökrutor
Plug-ins
Bookmarklet
Anpassa
Textstorlek
Kontrast
Vyer
LIBRIS söktjänster
SwePub
Uppsök

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

Copyright © LIBRIS - Nationella bibliotekssystem

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy