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Zhang Z, Wang Y, Yang W, Liu T, Wang C, Huang C, Xu Y, Chen X, Zhou J, Wang Y, Zhou X, Gong Y, Gong K. Metabolomic landscape of renal cell carcinoma in von Hippel-Lindau syndrome in a Chinese cohort. iScience 2024; 27:110357. [PMID: 39055909 PMCID: PMC11269943 DOI: 10.1016/j.isci.2024.110357] [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: 02/21/2024] [Revised: 05/10/2024] [Accepted: 06/20/2024] [Indexed: 07/28/2024] Open
Abstract
Von Hippel-Lindau (VHL) syndrome is a rare autosomal dominant disorder, where renal cell carcinoma (RCC) serves as a significant cause of mortality. We collected peripheral blood from 61 VHL-RCC patients and 31 healthy individuals, along with 19 paired RCC tumor and adjacent non-malignant samples. Using liquid chromatography-mass spectrometry, we identified 238 plasma and 241 tissue differentially abundant metabolites (DAMs), highlighting key pathways such as arginine and proline metabolism. The top 10 of the 23 DAMs, common to both plasma and tissue, were instrumental in constructing a high-performance diagnostic model. These DAMs demonstrated significant correlations with VHL gene mutation types. Cox regression analysis revealed that plasma levels of N2,N2-dimethylguanosine were associated with the timing of RCC onset in VHL patients, acting as an independent predictive factor. This study enhances diagnostic accuracy for this rare condition and opens new avenues for exploring metabolic mechanisms of the disease and potential therapeutic directions.
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Affiliation(s)
- Zedan Zhang
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Yi Wang
- Beijing International Center for Mathematical Research and Department of Biostatistics, Peking University, Beijing, China
| | - Wuping Yang
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Tao Liu
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Chuandong Wang
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Cong Huang
- Department of Urology, Peking University First Hospital, Beijing, China
| | - Yawei Xu
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Xiaolin Chen
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Jingcheng Zhou
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Yizhou Wang
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Xiaohua Zhou
- Beijing International Center for Mathematical Research and Department of Biostatistics, Peking University, Beijing, China
| | - Yanqing Gong
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Kan Gong
- Department of Urology, Peking University First Hospital, Beijing, China
- Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China
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Singh S, Mohajer B, Wells SA, Garg T, Hanneman K, Takahashi T, AlDandan O, McBee MP, Jawahar A. Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research. Acad Radiol 2024; 31:2281-2291. [PMID: 38286723 DOI: 10.1016/j.acra.2024.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 01/31/2024]
Abstract
Radiomics uses advanced mathematical analysis of pixel-level information from radiologic images to extract existing information in traditional imaging algorithms. It is intended to find imaging biomarkers related to the genomics of tumors or disease patterns that improve medical care by advanced detection of tumor response patterns in tumors and to assess prognosis. Radiomics expands the paradigm of medical imaging to help with diagnosis, management of diseases and prognostication, leveraging image features by extracting information that can be used as imaging biomarkers to predict prognosis and response to treatment. Radiogenomics is an emerging area in radiomics that investigates the association between imaging characteristics and gene expression profiles. There are an increasing number of research publications using different radiomics approaches without a clear consensus on which method works best. We aim to describe the workflow of radiomics along with a guide of what to expect when starting a radiomics-based research project.
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Affiliation(s)
- Shiva Singh
- Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland
| | - Bahram Mohajer
- Radiology and Radiological Sciences, Johns Hopkins Medicine, Baltimore, Maryland
| | - Shane A Wells
- Radiology, University of Michigan, Ann Arbor, Michigan
| | - Tushar Garg
- Radiology and Radiological Sciences, Johns Hopkins Medicine, Baltimore, Maryland
| | - Kate Hanneman
- Medical Imaging, University of Toronto, Toronto, ON, Canada
| | | | - Omran AlDandan
- Department of Radiology, Imam Abdulrahman Bin Faisal University, College of Medicine: Dammam, Eastern, Saudi Arabia
| | - Morgan P McBee
- Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, South Carolina
| | - Anugayathri Jawahar
- Radiology, Northwestern University-Feinberg School of Medicine, 800, Arkes Pavilion, 676 N St. Clair St, Chicago, IL 60611.
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Singh S, Dehghani Firouzabadi F, Chaurasia A, Homayounieh F, Ball MW, Huda F, Turkbey EB, Linehan WM, Malayeri AA. CT-derived radiomics predict the growth rate of renal tumours in von Hippel-Lindau syndrome. Clin Radiol 2024; 79:e675-e681. [PMID: 38383255 PMCID: PMC11075775 DOI: 10.1016/j.crad.2024.01.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 12/26/2023] [Accepted: 01/22/2024] [Indexed: 02/23/2024]
Abstract
AIM To predict renal tumour growth patterns in von Hippel-Lindau syndrome by utilising radiomic features to assist in developing personalised surveillance plans leading to better patient outcomes. MATERIALS AND METHODS The study evaluated 78 renal tumours in 55 patients with histopathologically-confirmed clear cell renal cell carcinomas (ccRCCs), which were segmented and radiomics were extracted. Volumetric doubling time (VDT) classified the tumours into fast-growing (VDT <365 days) or slow-growing (VDT ≥365 days). Volumetric and diametric growth analyses were compared between the groups. Multiple logistic regression and random forest classifiers were used to select the best features and models based on their correlation and predictability of VDT. RESULTS Fifty-five patients (mean age 42.2 ± 12.2 years, 27 men) with a mean time difference of 3.8 ± 2 years between the baseline and preoperative scans were studied. Twenty-five tumours were fast-growing (low VDT, i.e., <365 days), and 53 tumours were slow-growing (high VDT, i.e., ≥365 days). The median volumetric and diametric growth rates were 1.71 cm3/year and 0.31 cm/year. The best feature using univariate analysis was wavelet-HLL_glcm_ldmn (area under the receiver operating characteristic [ROC] curve [AUC] of 0.80, p<0.0001), and with the random forest classifier, it was log-sigma-0-5-mm-3D_glszm_ZonePercentage (AUC: 79). The AUC of the ROC curves using multiple logistic regression was 0.74, and with the random forest classifier was 0.73. CONCLUSION Radiomic features correlated with VDT and were able to predict the growth pattern of renal tumours in patients with VHL syndrome.
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Affiliation(s)
- S Singh
- Radiology and Imaging Sciences, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - F Dehghani Firouzabadi
- Radiology and Imaging Sciences, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - A Chaurasia
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - F Homayounieh
- Radiology and Imaging Sciences, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - M W Ball
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - F Huda
- Radiology and Imaging Sciences, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - E B Turkbey
- Radiology and Imaging Sciences, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - W M Linehan
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA
| | - A A Malayeri
- Radiology and Imaging Sciences, Warren Grant Magnuson Clinical Center, National Institutes of Health, 10 Center Drive, Bethesda, MD 20892, USA.
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Daniels AB, Tirosh A, Huntoon K, Mehta GU, Spiess PE, Friedman DL, Waguespack SG, Kilkelly JE, Rednam S, Pruthi S, Jonasch EA, Baum L, Chahoud J. Guidelines for surveillance of patients with von Hippel-Lindau disease: Consensus statement of the International VHL Surveillance Guidelines Consortium and VHL Alliance. Cancer 2023; 129:2927-2940. [PMID: 37337409 DOI: 10.1002/cncr.34896] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/17/2023] [Accepted: 04/26/2023] [Indexed: 06/21/2023]
Abstract
Von Hippel‐Lindau disease is a rare inherited cancer‐predisposition syndrome. The authors report the updated recommendations for the multiorgan surveillance protocols.
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Affiliation(s)
- Anthony B Daniels
- Division of Ocular Oncology and Pathology, Department of Ophthalmology & Visual Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Amit Tirosh
- Neuroendocrine Tumors Service, Sheba Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Kristin Huntoon
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, Tennessee, USA
| | | | - Philippe E Spiess
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Debra L Friedman
- Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Division of Hematology/Oncology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Texas, USA
| | - Steven G Waguespack
- Department of Endocrine Neoplasia and Hormonal Disorders, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Jill E Kilkelly
- Division of Pediatric Anesthesia, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Surya Rednam
- Division of Pediatric Hematology-Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Sumit Pruthi
- Division of Pediatric Neuroradiology, Department of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Eric A Jonasch
- Department of Genitourinary Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Laura Baum
- Division of Hematology/Oncology, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Jad Chahoud
- Department of Genitourinary Oncology, Moffitt Cancer Center, Tampa, Florida, USA
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5
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Wang J, Zhang L, Qiu J, Li Z, Wu Y, Zhang C, Yao L, Gong K, Li X, Zhou L. Natural history of Von Hippel-Lindau disease-associated and sporadic clear cell renal cell carcinoma: a comparative study. J Cancer Res Clin Oncol 2021; 148:2631-2641. [PMID: 34709473 DOI: 10.1007/s00432-021-03806-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/15/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE To compare the tumor growth kinetics between sporadic clear cell renal cell carcinoma (ccRCC) and Von Hippel-Lindau disease-associated renal cell carcinoma (VHL-associated RCC). To analyze predictive markers for the growth rate of these two types of RCC. METHODS The clinical data of patients with renal tumors who received active surveillance were collected retrospectively. Immunohistochemical staining was utilized to analyze the expression levels of VHL, PBRM1, H3K36me3, and BAP1 in the postoperative specimens. RESULTS The age of the VHL group was significantly younger than that of the sporadic group (P < 0.0001). The mean linear growth rate (LGR) was significantly faster in the sporadic group (P = 0.0004). The tumors of those in the sporadic group tended to have a higher histologic grade (P = 0.0011). In the sporadic group, tumor histologic grade was an independent predictor for rapid mean LGR (P = 0.0022). In the VHL group, initial maximal tumor diameter (MTD) was the only independent predictor for rapid mean LGR (P < 0.0001). Tumors with low VHL expression and negative PBRM1 expression showed a faster growth rate in the sporadic group (P = 0.001 and P = 0.008, respectively). The expression levels of the four biomarkers showed no impact on the tumor growth rate in the VHL group. CONCLUSION Sporadic ccRCC grew faster than VHL-associated RCC. High histologic grade, low VHL expression and negative PBRM1 expression were predictors of faster growth in sporadic ccRCC. A large initial MTD was a predictor of faster growth for VHL-associated RCC.
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Affiliation(s)
- Jie Wang
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Lei Zhang
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Jianhui Qiu
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Ziao Li
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Yucai Wu
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Cuijian Zhang
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Lin Yao
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
| | - Kan Gong
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China. .,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China. .,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.
| | - Xuesong Li
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China. .,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China. .,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,Institute of Urology, Peking University, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China.,National Urological Cancer Center, No. 8 Xishiku St, Xicheng District, Beijing, 100034, China
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Li Z, Zhang J, Zhang L, Yao L, Zhang C, He Z, Li X, Zhou L. Natural history and growth kinetics of clear cell renal cell carcinoma in sporadic and von Hippel-Lindau disease. Transl Androl Urol 2021; 10:1064-1070. [PMID: 33850741 PMCID: PMC8039623 DOI: 10.21037/tau-20-1271] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background To evaluate and compare the natural history and growth kinetics of sporadic clear cell renal cell carcinoma (ccRCC) with those of ccRCC in von Hippel-Lindau disease (VHL). Methods Sixty patients in the sporadic group with 61 tumors and 15 patients in the VHL group with 30 tumors whom all underwent delayed surgery after at least 12 months of active surveillance (AS) were enrolled to conduct a retrospective cohort study. The growth rate was calculated, and the growth kinetics between the sporadic and VHL groups were compared. The patient and tumor characteristics were reviewed, and their correlation with growth rate was analyzed. Results The mean growth rate of sporadic ccRCC was 0.91 cm/year (ranging from 0–4.74 cm/year) and that of VHL ccRCC was 0.47 cm/year (ranging from 0.04–1.89 cm/year). The growth rate of sporadic ccRCC showed a tendency of being faster than that of VHL ccRCC but did not reach statistical significance (P=0.07). The factors affecting the growth rate were different between the two groups. For VHL ccRCC, the only factor that correlated with growth rate was initial tumor diameter (P<0.001), but for sporadic ccRCC, the only factor was pathological nuclear grade (P<0.001). Conclusions The growth rate of VHL-associated ccRCC might be slower than that of sporadic ccRCC. Furthermore, we identified a disparity in growth kinetics between sporadic and VHL-associated ccRCC.
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Affiliation(s)
- Ziao Li
- Department of Urology, Peking University First Hospital, Beijing, China; Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, Beijing, China
| | - Jin Zhang
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Lei Zhang
- Department of Urology, Peking University First Hospital, Beijing, China; Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, Beijing, China
| | - Lin Yao
- Department of Urology, Peking University First Hospital, Beijing, China; Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, Beijing, China
| | - Cuijian Zhang
- Department of Urology, Peking University First Hospital, Beijing, China; Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, Beijing, China
| | - Zhisong He
- Department of Urology, Peking University First Hospital, Beijing, China; Institute of Urology, Peking University, Beijing, China.,National Urological Cancer Center, Beijing, China.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment 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.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment 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.,Beijing Key Laboratory of Urogenital Diseases (Male) Molecular Diagnosis and Treatment Center, Beijing, China
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7
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Chahoud J, McGettigan M, Parikh N, Boris RS, Iliopoulos O, Rathmell WK, Daniels AB, Jonasch E, Spiess PE. Evaluation, diagnosis and surveillance of renal masses in the setting of VHL disease. World J Urol 2020; 39:2409-2415. [PMID: 32936333 DOI: 10.1007/s00345-020-03441-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 09/03/2020] [Indexed: 01/06/2023] Open
Abstract
This brief report focuses on the evaluation and diagnosis of clinically localized renal masses in children and adults with Von Hippel-Lindau (VHL) disease. Counseling considerations pertinent to the urologists, medical oncologists, and multidisciplinary teams involved in the care of these patients are addressed. As practice patterns regarding the evaluation and management of VHL tumors can vary considerably, this report aims to provide guidance on some of the controversies associated with the diagnostic evaluation and initial management of localized renal masses in VHL patients.
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Affiliation(s)
- Jad Chahoud
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, FL, 33612, USA.
| | - Melissa McGettigan
- Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Nainesh Parikh
- Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, FL, 33612, USA
| | - Ronald S Boris
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Othon Iliopoulos
- Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, 02139, USA
| | - W Kimryn Rathmell
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Anthony B Daniels
- Division of Ocular Oncology and Pathology, Department of Ophthalmology and Visual Sciences, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eric Jonasch
- Department of Genitourinary Medical Oncology, UT MD Anderson Cancer Center, 1515 Holcombe Ave, Houston, TX, 77030, USA
| | - Philippe E Spiess
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, FL, 33612, USA
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Ball MW, An JY, Gomella PT, Gautam R, Ricketts CJ, Vocke CD, Schmidt LS, Merino MJ, Srinivasan R, Malayeri AA, Metwalli AR, Linehan WM. Growth Rates of Genetically Defined Renal Tumors: Implications for Active Surveillance and Intervention. J Clin Oncol 2020; 38:1146-1153. [PMID: 32083993 PMCID: PMC7145590 DOI: 10.1200/jco.19.02263] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/08/2020] [Indexed: 01/10/2023] Open
Abstract
PURPOSE Published series of growth rates of renal tumors on active surveillance largely consist of tumors without pathologic or genetic data. Growth kinetics of genetically defined renal tumors are not well known. Here, we evaluate the growth of genetically defined renal tumors and their association with patient clinical and genetic characteristics. PATIENTS AND METHODS We evaluated patients with an inherited kidney cancer susceptibility syndrome as a result of a pathologic germline alteration of VHL, MET, FLCN, or BAP1 with at least 1 solid renal mass managed with active surveillance at our institution. Tumor growth rates (GR) were calculated and patients were stratified by genetic alteration and other clinical and genetic factors to analyze differences in growth rates using linear regression and comparative statistics. RESULTS A total of 292 patients with 435 genetically defined tumors were identified, including 286 VHL-deficient, 91 FLCN-deficient, 52 MET-activated, and 6 BAP1-deficient tumors. There were significant differences in GRs when stratified by genetic alteration. BAP1-deficient tumors had the fastest median GR (0.6 cm/y; interquartile range [IQR], 0.57-0.68 cm/y), followed by VHL-deficient tumors (GR, 0.37 cm/y; IQR, 0.25-0.57 cm/y), FLCN-deficient tumors (GR, 0.10 cm/y; IQR, 0.04-0.24 cm/y), and tumors with MET activation (GR, 0.15 cm/y; IQR, 0.053-0.32 cm/y; P < .001). Tumors from the same patient had similar GRs. Younger age was independently associated with higher GR (P = .005). CONCLUSION In a cohort of genetically defined tumors, tumor growth rates varied in a clinically and statistically different manner according to genetic subtype. Rapid growth of BAP1-deficient tumors indicates that these patients should be managed with caution. The faster growth of tumors in younger patients may support more frequent imaging, whereas the slower growth of other tumors may support extended surveillance beyond annual imaging in some instances.
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Affiliation(s)
- Mark W. Ball
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Julie Y. An
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Patrick T. Gomella
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Rabindra Gautam
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Christopher J. Ricketts
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Cathy D. Vocke
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Laura S. Schmidt
- Basic Science Program, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Maria J. Merino
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Ramaprasad Srinivasan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Ashkan A. Malayeri
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - Adam R. Metwalli
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
| | - W. Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD
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9
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van der Horst-Schrivers ANA, Sluiter WJ, Kruizinga RC, van Leeuwaarde RS, Giles R, Olderode-Berends MJW, Links TP. The incidence of consecutive manifestations in Von Hippel-Lindau disease. Fam Cancer 2019; 18:369-376. [PMID: 31087189 PMCID: PMC6560011 DOI: 10.1007/s10689-019-00131-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Von Hippel-Lindau (VHL) disease is an autosomal dominant rare tumor syndrome characterized by high penetrance. VHL mutation carriers develop numerous manifestations in multiple organs during life. The natural course of development of new and growth of existing VHL-related manifestations is still unclear. In this study we aimed to gain insight into the development of subsequent manifestations in VHL disease. We retrospectively scored each new VHL-related manifestation as detected by standard follow-up (retina, central nervous system, kidneys and pancreas, excluding adrenal and endolymfatic sac manifestations) in 75 VHL mutation carriers. The Kaplan–Meier method was used to plot the cumulative proportions of all consecutive manifestations in each organ against age. The cumulative average number of manifestations in all organs during life was calculated by summating these cumulative proportions. Poisson model parameters were used to calculate average time to the detection of consecutive VHL manifestations in each organ. Consecutive VHL-related kidney and retina manifestations during life occur linearly according to Poisson distribution model. The total number of VHL manifestations rises linearly, with an average of seven VHL-related lesions at age 60 years. The incidence of consecutive VHL-related manifestations is constant during life in VHL mutation carriers. Our data is consistent with the notion that somatic inactivation of the remaining allele (Knudson’s “two-hit” hypothesis) is the determining factor in developing new VHL-related manifestations.
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Affiliation(s)
| | - Wim J Sluiter
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Roeliene C Kruizinga
- Department of Geriatric Medicine, Amsterdam UMC, Free University Amsterdam, Amsterdam, The Netherlands
| | - Rachel S van Leeuwaarde
- Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Rachel Giles
- Department of Nephrology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Maran J W Olderode-Berends
- Department of Medical Genetics, University Medical Center Groningen, University Medical Center Groningen, P.O. Box 30.001, 9700 RB, Groningen, The Netherlands
| | - Thera P Links
- Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
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Peng X, Chen J, Wang J, Peng S, Liu S, Ma K, Zhou J, Hong B, Zhou B, Zhang J, Cai L, Gong K. Natural history of renal tumours in von Hippel-Lindau disease: a large retrospective study of Chinese patients. J Med Genet 2019; 56:380-387. [DOI: 10.1136/jmedgenet-2018-105567] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Revised: 01/10/2019] [Accepted: 01/19/2019] [Indexed: 12/20/2022]
Abstract
BackgroundHistorically, renal cell carcinoma (RCC) is one of the main causes of death in von Hippel-Lindau (VHL) disease. However, the natural history of VHL-related RCC has not been thoroughly elucidated to date. This report described the natural history of VHL-related RCC in a large Chinese VHL cohort and might be helpful in the surveillance and treatment of VHL disease.MethodsIn this retrospective study, we included 196 renal tumours from 150 patients with VHL disease. Statistical analysis was used to evaluate the influence of age of onset, sex, family history, unilateral or bilateral tumour, VHL disease type, mutation type, mutation location, and tumour size on tumour growth, metastasis and survival in patients with VHL disease.ResultsThe mean age of onset was 38.8 years, and the mean initial tumour size was 3.1 cm. The mean linear growth rate was 0.49 cm/year. Patients experienced faster tumour growth when they had later age of onset, larger initial tumour size, missense mutation, mutations locating in exon 3, and when they were not affected by cerebral or retinal haemangioblastomas. Tumours larger than 4 cm grew faster than those smaller than 4 cm. Bilateral tumours, large initial tumours, fast tumour growth and metastasis were risk factors for poor prognosis in VHL-related RCC.ConclusionThis large study demonstrated that age of onset, initial tumour size, concomitant tumours, mutation type and mutation location had an effect on growth rate in VHL-related RCC. Active surveillance may be safe for patients with tumour size less than 4 cm, which is helpful in clinical decision-making.
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Binderup MLM, Budtz-Jørgensen E, Bisgaard ML. Risk of new tumors in von Hippel–Lindau patients depends on age and genotype. Genet Med 2015; 18:89-97. [DOI: 10.1038/gim.2015.44] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2014] [Accepted: 02/17/2015] [Indexed: 12/19/2022] Open
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Pomerri F, Opocher G, Dal Bosco C, Muzzio PC, Gennaro G. Optimal follow-up intervals in active surveillance of renal masses in patients with von Hippel-Lindau disease. Eur Radiol 2015; 25:2025-32. [PMID: 25636418 DOI: 10.1007/s00330-015-3591-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Revised: 12/17/2014] [Accepted: 01/12/2015] [Indexed: 10/24/2022]
Abstract
OBJECTIVES To estimate an optimal follow-up (FU) interval for von Hippel-Lindau (VHL) patients with renal masses (RMs) by determining tumour growth rates from growth curves. METHODS Thirty lesions (47.6%) were classified as solid tumours (STs) and 33 (52.4%) as complex cysts (CCs). Variations in lesion volume over time were analyzed. For 53 lesions, we calculated the growth rate during the period when the volume of the lesion changed most rapidly, and called this the fast growth rate (FGR). RESULTS The STs initially grew fast, followed by a period of slower growth. The CCs varied in volume over time, associated with variable amounts of their fluid component. The FGR correlated better with the latest volume for STs (r = 0.905) than for CCs (r = 0.780). An optimal FU interval between 3 and 12 months was derived by combining the FGR calculated from the curve with the latest volume measured. CONCLUSIONS Analyzing growth curves and related kinetic parameters for RMs in VHL patients could be useful with a view to optimizing the subsequent FU interval and improving the active surveillance program. KEY POINTS • Measuring volume changes over time enables tumour growth curves to be charted. • Renal solid tumours increase in volume with a typical sigmoidal curve. • Complex cysts may increase and decrease in volume spontaneously over time. • The fast growth rate of solid tumours correlates with their latest volume. • The fast growth rate can orient the scheduling of subsequent follow-ups.
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Affiliation(s)
- Fabio Pomerri
- Radiology Unit, Veneto Institute of Oncology IOV-IRCCS, via Gattamelata, 64, 35128, Padua, Italy
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Jia D, Tang B, Shi Y, Wang J, Sun Z, Chen Z, Zhang L, Xia K, Jiang H. A deletion mutation of the VHL gene associated with a patient with sporadic von Hippel-Lindau disease. J Clin Neurosci 2013; 20:842-7. [DOI: 10.1016/j.jocn.2012.06.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Revised: 05/26/2012] [Accepted: 06/10/2012] [Indexed: 11/25/2022]
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Impact of the length of time between diagnosis and surgical removal of urologic neoplasms on survival. World J Urol 2013; 32:475-9. [PMID: 23455886 DOI: 10.1007/s00345-013-1045-z] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2013] [Accepted: 02/18/2013] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVE Our aim was to assess the effect of surgical wait time on the survival of patients with urological neoplasms, including prostate, bladder, penile, and testicular cancers and upper tract tumours (UTUC). MATERIALS AND METHODS Current, relevant studies were identified from the literature. Keywords used for article retrieval were as follows: delay; surgery; prostate cancer; urothelial carcinoma; renal cell carcinoma; testicular cancer; bladder; renal pelvis; ureter; and survival. RESULTS Regarding the length of surgical wait time, it does not matter in cases of incidental T1a renal cell carcinomas. In other cases of renal cell carcinomas, surgery should be considered within <1 month; it is of crucial importance in bladder cancer and should be <1 month for a TURBT in cases of non-muscle-invasive bladder cancer and <1 month for a radical cystectomy in cases of muscle-invasive bladder cancer; it is important in invasive UTUC and should be <1 month for a radical nephroureterectomy; it is not crucial in cases of low-risk prostate cancer. In any other case, radical prostatectomy should be considered within <2 months; it is important in testicular cancer and should be fewer than 10 days for an orchiectomy. CONCLUSION Prolonged surgical wait times have an impact on the overall quality of life and anxiety of the patient. Extending the wait time beyond a given threshold can also have a negative impact on the patient's clinical outcomes, but this threshold differs between urological neoplasms.
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Clinical and mutation analysis of four Chinese families with von Hippel-Lindau disease. Clin Transl Oncol 2012; 15:391-7. [DOI: 10.1007/s12094-012-0940-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2012] [Accepted: 09/05/2012] [Indexed: 11/26/2022]
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Tootee A, Hasani- Ranjbar S. Von hippel-lindau disease: a new approach to an old problem. Int J Endocrinol Metab 2012; 10:619-24. [PMID: 23843833 PMCID: PMC3693632 DOI: 10.5812/ijem.4510] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2012] [Revised: 04/29/2012] [Accepted: 05/07/2012] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Von Hippel-Lindau (VHL) disease is a hereditary, autosomal dominant syndrome which is manifested by a range of different benign and malignant tumors. This disease can present with different clinical presentations such as; retinal angioma (RA), hemangioblastoma (HB) of the central nervous system (CNS), pheochromocytoma (Pheo), and epididymal cystadenoma. Tumors are usually accompanied with cysts. OBJECTIVES As the disease can display different clinical presentations, which are mainly unspecific, and considering the importance of an early diagnosis and the proper and early management of it, this study was carried out to present a general overview of VHL. Moreover, the present article reviews screening methods and emphasizes the need for increasing the awareness of different health care professionals to diagnose and refer the patients in the early stages. MATERIALS AND METHODS A thorough search of internet medical databases, such as PubMed, was carried out on known or suggested; clinical presentations, pathogenesis, screening, causes and criteria for diagnosis of patients and their referrals. RESULTS Our research demonstrated that VHL is caused by a mutation in the von Hippel-Lindau (VHL) gene. It also showed that different screening methods can be utilized for the early diagnosis and referral of patients. Different clinical presentations of the disease are also elaborated in some detail and their treatment options are discussed. CONCLUSIONS Considering the need for a multidisciplinary approach to VHL, especially, given the number of cases which have been reported and diagnosed in Iran, it is of great importance that clinicians remain vigilant in order to identify cases that present with clinical characteristics of the disease, and that they are prompt in referring them to a multidisciplinary VHL clinic. It is also important to establish links with existing VHL Family Alliances and other related organizations around the world.
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Affiliation(s)
- Ali Tootee
- Tehran University of Medical Sciences, Endocrinology and Metabolism Research Institute, Shariati Hospital, Tehran, IR Iran
| | - Shirin Hasani- Ranjbar
- Tehran University of Medical Sciences, Endocrinology and Metabolism Research Institute, Shariati Hospital, Tehran, IR Iran
- Corresponding author: Shirin Hasani- Ranjbar, Endocrinology & Metabolism Research Institute, 5th Floor, Shariati Hospital, North Kargar Ave, 14114, Tehran, IR Iran. Tel.: +98-2188220037, Fax: +98-2188220052, E-mail:
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