Growth pattern, an important pathologic prognostic parameter for clear cell renal cell carcinoma.
Akitoshi Fukatsu,Toyonori Tsuzuki,Naoto Sassa,Toshinori Nishikimi,Tohoru Kimura,Tsuyoshi Majima,Yasushi Yoshino,Ryohei Hattori,Momokazu Gotoh +8 more
TL;DR: Growth pattern can be considered a new prognostic parameter for ccRCC and was useful predictors of disease-free survival (DFS) and cancer-specific survival (CSS), although only 30 cases showed the infiltrative pattern.
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Abstract: Objectives: To assess the validity of growth pattern as a unique prognostic parameter for clear cell renal cell carcinoma (ccRCC). Methods: In total, 561 patients with pathologic tumor stage 1 (pT1), pT2, and pT3a ccRCC without preoperative metastasis were evaluated. Clinicopathologic parameters, including pathologic tumor stage, Fuhrman grade, tumor necrosis, lymphovascular invasion, and growth pattern, were analyzed to predict disease-free survival (DFS) and cancer-specific survival (CSS). Results: Growth patterns were defined as follows: expansive included tumors with well-circumscribed margins without normal renal tissue in the tumor, and infiltrative involved tumors with ill-circumscribed margins or normal renal tissue in the tumors. In multivariate analysis, Fuhrman grade, tumor necrosis, and growth pattern were useful predictors of DFS, whereas Fuhrman grade and growth pattern were useful predictors of CSS, although only 30 cases showed the infiltrative pattern. Conclusions: Growth pattern can be considered a new prognostic parameter for ccRCC.
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Citations
Vessel co-option in cancer.
Elizabeth A. Kuczynski,Elizabeth A. Kuczynski,Peter B. Vermeulen,Peter B. Vermeulen,Francesco Pezzella,Robert S. Kerbel,Robert S. Kerbel,Andrew R. Reynolds,Andrew R. Reynolds +8 more
TL;DR: The evidence that tumours located at numerous anatomical sites can exploit vessel co-option is described and the evidence for a role of this largely overlooked aspect of tumour biology is described.
355
Radiogenomics of clear cell renal cell carcinoma: preliminary findings of The Cancer Genome Atlas–Renal Cell Carcinoma (TCGA–RCC) Imaging Research Group
Atul B. Shinagare,Raghu Vikram,Carl Jaffe,Oguz Akin,Justin Kirby,Erich Huang,John Freymann,Nisha I. Sainani,Cheryl A. Sadow,Tharakeswara K. Bathala,Daniel Brett Rubin,Aytekin Oto,Matthew T. Heller,Venkateswar R. Surabhi,Venkat S. Katabathina,Stuart G. Silverman +15 more
TL;DR: The results support using radiogenomics to aid in prognostication and management of clear cell renal cell carcinoma and given the known prognostic implications of BAP1 and MUC4 mutations.
Tumor necrosis as a prognostic variable for the clinical outcome in patients with renal cell carcinoma: a systematic review and meta-analysis
TL;DR: The present study suggests that TN is associated with CSS, OS, RFS and PFS clinical outcomes of RCC patients and may serve as a predictor of poor prognosis in these patients.
Architectural Patterns are a Relevant Morphologic Grading System for Clear Cell Renal Cell Carcinoma Prognosis Assessment: Comparisons With WHO/ISUP Grade and Integrated Staging Systems.
Jérôme Verine,Delphine Colin,Mary Nheb,Dominique Prapotnich,Guillaume Ploussard,Xavier Cathelineau,François Desgrandchamps,Pierre Mongiat-Artus,Jean-Paul Feugeas,Jean-Paul Feugeas +9 more
TL;DR: Development and validated an architecture-based grading for clear cell renal cell carcinoma (ccRCC) in an observational retrospective cohort study including 506 tumors and found that architectural grade with 1 morphologic datum remained an independent predictor of CSS and was associated with the highest HR.
59
Infiltrative Renal Masses: Clinical Significance and Fidelity of Documentation
Hajime Tanaka,Xiaobo Ding,Yunlin Ye,Yanbo Wang,Rebecca A. Campbell,Molly E. DeWitt-Foy,Chalairat Suk-Ouichai,Ryan D. Ward,Erick M. Remer,Jianbo Li,Steven C. Campbell +10 more
TL;DR: Among this high-risk surgical population, infiltrative features were independent predictors of CSM, irrespective of whether they were documented or not, and should be assessed and documented routinely during radiologic and clinical evaluation of renal masses.
20
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