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Role of clinicopathological variables in predicting recurrence and survival outcomes after surgery for non-metastatic renal cell carcinoma: Systematic review and meta-analysis

M. Majdoub, T. Yanagisawa, F. Quhal, E. Laukhtina, M. von Deimling, T. Kawada, P. Rajwa, A. Bianchi, M. Pallauf, H. Mostafaei, M. Chlosta, B. Pradere, PI. Karakiewicz, M. Schmidinger, R. Rub, SF. Shariat

. 2024 ; 154 (7) : 1309-1323. [pub] 20231127

Jazyk angličtina Země Spojené státy americké

Typ dokumentu metaanalýza, systematický přehled, časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc24006614

Renal cell carcinoma (RCC) represents 2% of all diagnosed malignancies worldwide, with disease recurrence affecting 20% to 40% of patients. Existing prognostic recurrence models based on clinicopathological features continue to be a subject of controversy. In this meta-analysis, we summarized research findings that explored the correlation between clinicopathological characteristics and post-surgery survival outcomes in non-metastatic RCC patients. Our analysis incorporates 99 publications spanning 140 568 patients. The study's main findings indicate that the following clinicopathological characteristics were associated with unfavorable survival outcomes: T stage, tumor grade, tumor size, lymph node involvement, tumor necrosis, sarcomatoid features, positive surgical margins (PSM), lymphovascular invasion (LVI), early recurrence, constitutional symptoms, poor performance status (PS), low hemoglobin level, high body-mass index (BMI), diabetes mellitus (DM) and hypertension. All of which emerged as predictors for poor recurrence-free survival (RFS) and cancer-specific survival. Clear cell (CC) subtype, urinary collecting system invasion (UCSI), capsular penetration, perinephric fat invasion, renal vein invasion (RVI) and increased C-reactive protein (CRP) were all associated with poor RFS. In contrast, age, sex, tumor laterality, nephrectomy type and approach had no impact on survival outcomes. As part of an additional analysis, we attempted to assess the association between these characteristics and late recurrences (relapses occurring more than 5 years after surgery). Nevertheless, we did not find any prediction capabilities for late disease recurrences among any of the features examined. Our findings highlight the prognostic significance of various clinicopathological characteristics potentially aiding in the identification of high-risk RCC patients and enhancing the development of more precise prediction models.

Cancer Prognostics and Health Outcomes Unit Division of Urology University of Montreal Health Center Montreal Canada

Department of Urology 2nd Faculty of Medicine Charles University Prague Czech Republic

Department of Urology Comprehensive Cancer Center Medical University of Vienna Vienna Austria

Department of Urology Hillel Yaffe Medical Center Affiliated to Technion Israeli Institute of Technology Hadera Israel

Department of Urology Jagiellonian University hospital Krakow Poland

Department of Urology King Fahad Specialist Hospital Dammam Saudi Arabia

Department of Urology La Croix Du Sud Hospital Quint Fonsegrives France

Department of Urology Medical University of Silesia Zabrze Poland

Department of Urology Okayama University Graduate School of Medicine Dentistry and Pharmaceutical Sciences Okayama Japan

Department of Urology Paracelsus Medical University Salzburg University Hospital Salzburg Salzburg Austria

Department of Urology The Jikei University School of Medicine Tokyo Japan

Department of Urology University Medical Center Hamburg Eppendorf Hamburg Germany

Department of Urology University of Texas Southwestern Medical Center Dallas Texas USA

Department of Urology University of Verona Azienda Ospedaliera Universitaria Integrata Verona Italy

Department of Urology Weill Cornell Medical College New York New York USA

Hourani Center for Applied Scientific Research Al Ahliyya Amman University Amman Jordan

Institute for Urology and Reproductive Health Sechenov University Moscow Russia

Karl Landsteiner Institute of Urology and Andrology Vienna Austria

Men's Health and Reproductive Health Research Center Shahid Beheshti University of Medical Sciences Tehran Iran

Citace poskytuje Crossref.org

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$a Renal cell carcinoma (RCC) represents 2% of all diagnosed malignancies worldwide, with disease recurrence affecting 20% to 40% of patients. Existing prognostic recurrence models based on clinicopathological features continue to be a subject of controversy. In this meta-analysis, we summarized research findings that explored the correlation between clinicopathological characteristics and post-surgery survival outcomes in non-metastatic RCC patients. Our analysis incorporates 99 publications spanning 140 568 patients. The study's main findings indicate that the following clinicopathological characteristics were associated with unfavorable survival outcomes: T stage, tumor grade, tumor size, lymph node involvement, tumor necrosis, sarcomatoid features, positive surgical margins (PSM), lymphovascular invasion (LVI), early recurrence, constitutional symptoms, poor performance status (PS), low hemoglobin level, high body-mass index (BMI), diabetes mellitus (DM) and hypertension. All of which emerged as predictors for poor recurrence-free survival (RFS) and cancer-specific survival. Clear cell (CC) subtype, urinary collecting system invasion (UCSI), capsular penetration, perinephric fat invasion, renal vein invasion (RVI) and increased C-reactive protein (CRP) were all associated with poor RFS. In contrast, age, sex, tumor laterality, nephrectomy type and approach had no impact on survival outcomes. As part of an additional analysis, we attempted to assess the association between these characteristics and late recurrences (relapses occurring more than 5 years after surgery). Nevertheless, we did not find any prediction capabilities for late disease recurrences among any of the features examined. Our findings highlight the prognostic significance of various clinicopathological characteristics potentially aiding in the identification of high-risk RCC patients and enhancing the development of more precise prediction models.
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