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Ma X, Chen L, Chen T, Chen K, Zhang H, Huang K, Zheng H, Jin H, Cheng Z, Xiao K, Guo J. Identification of a 24-gene panel and a novel marker of PODXL2 essential for the pathological diagnosis of early prostate cancer. Comput Struct Biotechnol J 2023; 21:5476-5490. [PMID: 38022698 PMCID: PMC10663703 DOI: 10.1016/j.csbj.2023.10.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/13/2023] [Accepted: 10/22/2023] [Indexed: 12/01/2023] Open
Abstract
Precise diagnosis of early prostate cancer (PCa) is critical for preventing tumor progression. However, the diagnostic outcomes of currently used markers are far from satisfactory due to the low sensitivity or specificity. Here, we identified a diagnostic subpopulation in PCa tissue with the integrating analysis of single-cell and bulk RNA-seq. The representative markers of this subpopulation were extracted to perform intersection analysis with early-PCa-related gene module generated from weighted correlation network analysis (WGCNA). A total of 24 overlapping genes were obtained, the diagnostic roles of which were validated by distinguishing normal and tumorous prostate samples from the public dataset. A least absolute shrinkage and selection operator (LASSO) model was constructed based on these genes and the obtained 24-gene panel showed high sensitivity and specificity for PCa diagnosis, with better identifying capability of PCa than the commercially used gene panel of Oncotype DX. The top two risk factors, TRPM4 and PODXL2, were verified to be highly expressed in early PCa tissues by multiplex immunostaining, and PODXL2 was more sensitive and specific compared to TRPM4 and the pathologically used marker AMACR for early PCa diagnosis, suggesting a novel and promising pathology marker.
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Affiliation(s)
- Xiaoshi Ma
- Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
- Clinical Research Center for Geriatrtics, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
| | - Lipeng Chen
- Clinical Medical Research Center, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
| | - Tao Chen
- School of Medicine, Southern University of Science and Technology, Shenzhen 518055, Guangdong, China
| | - Kun Chen
- Department of Radiotherapy, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing 210000, Jiangsu, China
| | - Huirong Zhang
- Clinical Medical Research Center, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
| | - Kaipeng Huang
- Department of Pathology, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
| | - Han Zheng
- Department of Urology, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu 241000, Anhui, China
| | - Hongtao Jin
- Department of Radiotherapy, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing 210000, Jiangsu, China
| | - Zhiqiang Cheng
- Department of Pathology, Third People’s Hospital of Shenzhen (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen 518100, Guangdong, China
| | - Kefeng Xiao
- Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
- Clinical Research Center for Geriatrtics, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
| | - Jinan Guo
- Department of Urology, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
- Clinical Research Center for Geriatrtics, Shenzhen People’s Hospital (The Second Clinical Medical College of Jinan University), Shenzhen 518020, Guangdong, China
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The performance of PI-RADSv2 and quantitative apparent diffusion coefficient for predicting confirmatory prostate biopsy findings in patients considered for active surveillance of prostate cancer. Abdom Radiol (NY) 2017; 42:1968-1974. [PMID: 28258355 DOI: 10.1007/s00261-017-1086-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE To assess the performance of the updated Prostate Imaging Reporting and Data System (PI-RADSv2) and the apparent diffusion coefficient (ADC) for predicting confirmatory biopsy results in patients considered for active surveillance of prostate cancer (PCA). METHODS IRB-approved, retrospective study of 371 consecutive men with clinically low-risk PCA (initial biopsy Gleason score ≤6, prostate-specific antigen <10 ng/ml, clinical stage ≤T2a) who underwent 3T-prostate MRI before confirmatory biopsy. Two independent radiologists recorded the PI-RADSv2 scores and measured the corresponding ADC values in each patient. A composite score was generated to assess the performance of combining PI-RADSv2 + ADC. RESULTS PCA was upgraded on confirmatory biopsy in 107/371 (29%) patients. Inter-reader agreement was substantial (PI-RADSv2: k = 0.73; 95% CI [0.66-0.80]; ADC: r = 0.74; 95% CI [0.69-0.79]). Accuracies, sensitivities, specificities, positive predicted value and negative predicted value of PI-RADSv2 were 85, 89, 83, 68, 95 and 78, 82, 76, 58, 91% for ADC. PI-RADSv2 accuracy was significantly higher than that of ADC for predicting biopsy upgrade (p = 0.014). The combined PI-RADSv2 + ADC composite score did not perform better than PI-RADSv2 alone. Obviating biopsy in patients with PI-RADSv2 score ≤3 would have missed Gleason Score upgrade in 12/232 (5%) of patients. CONCLUSION PI-RADSv2 was superior to ADC measurements for predicting PCA upgrading on confirmatory biopsy.
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Patel HRH. Prostate cancer. Foreword. Expert Rev Anticancer Ther 2014; 14:1251-2. [PMID: 25367319 DOI: 10.1586/14737140.2014.981089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Professor Hiten Patel is an expert in Laparoscopic and Robotic Surgery for treating prostate disease. He is also a leading researcher in basic science and `clinical research. His basic science research is focused on studying the pathways for improving prostate cancer diagnosis and prognosis through biomarker application, and his clinical research includes new technology applications for training surgeons and improving patient care outcome. Prof Patel is also Chairman of the Urology group for the Enhanced Recovery after Surgery Society.
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Affiliation(s)
- Hiten R H Patel
- Professor of Urology and Surgery Director of Robotic and Laparoscopic Surgery University Hospital North Norway Urology Centre, Harley St, London
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