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Łaszkiewicz J, Krajewski W, Sójka A, Nowak Ł, Chorbińska J, Subiela JD, Tomczak W, Del Giudice F, Małkiewicz B, Szydełko T. Blood-, Tissue- and Urine-Based Prognostic Biomarkers of Upper Tract Urothelial Carcinoma. Diagnostics (Basel) 2024; 14:1927. [PMID: 39272712 PMCID: PMC11393937 DOI: 10.3390/diagnostics14171927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 08/20/2024] [Accepted: 08/29/2024] [Indexed: 09/15/2024] Open
Abstract
Upper tract urothelial carcinoma (UTUC) is a rare but aggressive neoplasm. Currently, there are few reliable and widely used prognostic biomarkers of this disease. The purpose of this study was to assess the prognostic value of blood-, tissue- and urine-based biomarkers in patients with UTUC. A comprehensive literature search was conducted using the PubMed, Cochrane and Embase databases. Case reports, editorials and non-peer-reviewed literature were excluded from the analysis. As a result, 94 articles were included in this review. We evaluated the impact of 22 blood-based, 13 tissue-based and 4 urine-based biomarkers and their influence on survival outcomes. The neutrophil-lymphocyte ratio, albumin, C-reactive protein, De Ritis ratio, renal function and fibrinogen, which are currently mentioned in the European Association of Urology (EAU) guidelines, are well researched and most probably allow for a reliable prognosis estimate. However, our review highlights a number of other promising biomarkers that could potentially predict oncological outcomes in patients with UTUC. Nonetheless, the clinical value of some prognostic factors remains uncertain due to the lack of comprehensive studies.
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Affiliation(s)
- Jan Łaszkiewicz
- University Center of Excellence in Urology, Wrocław Medical University, 50-556 Wrocław, Poland
| | - Wojciech Krajewski
- Department of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wrocław Medical University, Borowska 213, 50-556 Wrocław, Poland
| | - Aleksandra Sójka
- University Center of Excellence in Urology, Wrocław Medical University, 50-556 Wrocław, Poland
| | - Łukasz Nowak
- Department of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wrocław Medical University, Borowska 213, 50-556 Wrocław, Poland
| | - Joanna Chorbińska
- Department of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wrocław Medical University, Borowska 213, 50-556 Wrocław, Poland
| | - José Daniel Subiela
- Department of Urology, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcala, 28034 Madrid, Spain
| | - Wojciech Tomczak
- University Center of Excellence in Urology, Wrocław Medical University, 50-556 Wrocław, Poland
| | - Francesco Del Giudice
- Department of Maternal Infant and Urologic Sciences, "Sapienza" University of Rome, Policlinico Umberto I Hospital, 00161 Rome, Italy
- Department of Urology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Bartosz Małkiewicz
- Department of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wrocław Medical University, Borowska 213, 50-556 Wrocław, Poland
| | - Tomasz Szydełko
- University Center of Excellence in Urology, Wrocław Medical University, 50-556 Wrocław, Poland
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Xu B, Zhang JE, Ye L, Yuan CW. Evaluation of the diagnostic efficiency of voided urine fluorescence in situ hybridization for predicting the pathology of preoperative "low-risk" upper tract urothelial carcinoma. Front Oncol 2023; 13:1225428. [PMID: 37576882 PMCID: PMC10412927 DOI: 10.3389/fonc.2023.1225428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/03/2023] [Indexed: 08/15/2023] Open
Abstract
Objectives To evaluate the clinical utility of voided urine fluorescence in situ hybridization (FISH) for predicting the pathology of preoperative "low-risk" upper tract urothelial carcinoma (UTUC). Methods Information of patients preoperatively diagnosed with "low-risk" UTUC receiving radical nephroureterectomy (RNU) between May 2014 and October 2019 were retrospectively collected. All of the patients accepted the FISH test and then were divided into two groups according to the results of FISH. The diagnostic value of FISH was assessed through the receiver operating characteristics (ROC) curve and area under the curve. Logistic regression analysis was applied to examine FISH as a predictive factor of tumor final stage and grade of preoperative "low-risk" UTUC. Results In total, 129 patients were included. Of them, 70 (54.2%) were marked with positive FISH result. The difference at final pathology in tumor stage and tumor grade between these two groups of FISH (-) and FISH (+) had significantly statistical significance (p<0.001). Regarding to the tumor stage at final pathology, the sensitivity, specificity, positive predictive value and negative predictive value of FISH were 70.7 (58.9-80.3)68.5 (54.3-80.1)75.7 (63.7-84.8) and 62.7 (49.1-74.7), respectively. Regarding to the tumor grade at final pathology, the sensitivity, specificity, positive predictive value and negative predictive value of FISH were 64.7 (53.5-74.6), 65.9 (50.0-79.1), 78.6 (66.8-87.1) and 49.1 (36.5-62.3), respectively. The results of logistic regression analysis indicated that FISH could predict the pathologic characteristics of preoperative "low-risk" UTUC independently. Conclusions FISH was qualified with relatively high diagnostic estimates for predicting tumor stage and grade of preoperative "low-risk" UTUC, and could be an independent predictive factor in clinical practice. For preoperative "low-risk" UTUC patients but with positive FISH result, choosing nephron-sparing surgery may require special caution.
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Affiliation(s)
- Ben Xu
- Department of Urology, Peking University First Hospital, Beijing, China
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Ge G, Peng D, Guan B, Zhou Y, Gong Y, Shi Y, Hao X, Xu Z, Qi J, Lu H, Zhang X, Zhan Y, Li Y, Wu Y, Ding G, Shen Q, He Q, Li X, Zhou L, Ci W. Urothelial Carcinoma Detection Based on Copy Number Profiles of Urinary Cell-Free DNA by Shallow Whole-Genome Sequencing. Clin Chem 2020; 66:188-198. [PMID: 31811000 DOI: 10.1373/clinchem.2019.309633] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 09/24/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Current noninvasive assays for urothelial carcinoma (UC) lack clinical sensitivity and specificity. Given the utility of plasma cell-free DNA (cfDNA) biomarkers, the development of urinary cfDNA biomarkers may improve the diagnostic sensitivity. METHODS We assessed copy number alterations (CNAs) by shallow genome-wide sequencing of urinary cfDNA in 95 cancer-free individuals and 65 patients with UC, 58 with kidney cancer, and 45 with prostate cancer. We used a support vector machine to develop a diagnostic classifier based on CNA profiles to detect UC (UCdetector). The model was further validated in an independent cohort (52 patients). Genome sequencing data of tumor specimens from 90 upper tract urothelial cancers (UTUCs) and CNA data for 410 urothelial carcinomas of bladder (UCBs) from The Cancer Genome Atlas were used to validate the classifier. Genome sequencing data for urine sediment from 32 patients with UC were compared with cfDNA. To monitor the treatment efficacy, we collected cfDNA from 7 posttreatment patients. RESULTS Urinary cfDNA was a more sensitive alternative to urinary sediment. The UCdetector could detect UC at a median clinical sensitivity of 86.5% and specificity of 94.7%. UCdetector performed well in an independent validation data set. Notably, the CNA features selected by UCdetector were specific markers for both UTUC and UCB. Moreover, CNA changes in cfDNA were consistent with the treatment effects. Meanwhile, the same strategy could localize genitourinary cancers to tissue of origin in 70.1% of patients. CONCLUSIONS Our findings underscore the potential utility of urinary cfDNA CNA profiles as a basis for noninvasive UC detection and surveillance.
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Affiliation(s)
- Guangzhe Ge
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Ding Peng
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Bao Guan
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Yuanyuan Zhou
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Yanqing Gong
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Yue Shi
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Xueyu Hao
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Zhengzheng Xu
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Jie Qi
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Huan Lu
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoyun Zhang
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yonghao Zhan
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Yifan Li
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Yucai Wu
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Guangpu Ding
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Qi Shen
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Qun He
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Xuesong Li
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing, China.,Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China
| | - Weimin Ci
- Key Laboratory of Genomics and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China.,Institute of Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
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Lin T, Jin H, Gong L, Yu R, Sun S, Yang L, Zhang P, Han P, Cheng J, Liu L, Wei Q. Surveillance of non-muscle invasive bladder cancer using fluorescence in situ hybridization: Protocol for a systematic review and meta-analysis. Medicine (Baltimore) 2019; 98:e14573. [PMID: 30762807 PMCID: PMC6408111 DOI: 10.1097/md.0000000000014573] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 01/28/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND To evaluate the diagnostic effectiveness and predictive value of fluorescence in situ hybridization (FISH) in the surveillance of non-muscle invasive bladder cancer (NMIBC). METHODS PubMed/Medline, EMBASE, Web of Science, Ovid, Web of Knowledge, and Cochrane Library will be searched for studies related to the topic. The identification, inclusion, and exclusion flowcharts will be conducted according to preferred reporting items for systematic reviews and meta-analysis guidelines. The identified reports will be critically appraised according to the Newcastle-Ottawa scale, quality assessment of diagnostic accuracy studies-2 and standards for reporting of diagnostic accuracy 2015. Forest plots will be generated to display hazard ratios, sensitivities, and specificities. Pooled estimates with their 95% confidence intervals will be calculated using the bivariate model, the hierarchical summary receiver operating characteristic model and a fixed- or random-effects model. RESULTS This study will provide evidence and data to form a comprehensive understanding of the value of FISH in the surveillance of NMIBC. CONCLUSION The diagnostic efficacy of FISH will be affected by post-therapy factors. However, FISH still could facilitate the surveillance of NMIBC owing to its non-invasive feature. This study will improve the clinical decision-making and enlighten the future research of NMIBC.
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Affiliation(s)
- Tianhai Lin
- Department of Urology, Institute of Urology
- Key Laboratory of Transplant Engineering and Immunology, West China Hospital
| | - Hongyu Jin
- West China School of Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Lina Gong
- Department of Urology, Institute of Urology
| | - Ruichao Yu
- Department of Pathophysiology and Molecular Pharmacology, Joslin Diabetes Center
| | - Sheng Sun
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA
| | - Lu Yang
- Department of Urology, Institute of Urology
| | - Peng Zhang
- Department of Urology, Institute of Urology
| | - Ping Han
- Department of Urology, Institute of Urology
| | - Jingqiu Cheng
- Key Laboratory of Transplant Engineering and Immunology, West China Hospital
| | | | - Qiang Wei
- Department of Urology, Institute of Urology
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