Literature DB >> 29356723

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 Verine1,2,3,4, Delphine Colin5, Mary Nheb1, Dominique Prapotnich6, Guillaume Ploussard7, Xavier Cathelineau6, François Desgrandchamps2,3,7, Pierre Mongiat-Artus4,7, Jean-Paul Feugeas8,9.   

Abstract

We developed and validated an architecture-based grading for clear cell renal cell carcinoma (ccRCC) in an observational retrospective cohort study including 506 tumors (principal cohort, n=254; validation cohort, n=252). Study endpoints were disease-free survival (DFS) and cancer-specific survival (CSS). Relationships with outcome were analyzed using Harrell concordance index, time-dependent receiver operating characteristic curve, area under curve, and Cox regression model. An architecture-based grading was devised on positive likelihood ratio (LR+) for DFS at 50 months as follows: grade 1 (LR+<0.8), cystic, compact, acinar, clear cell papillary RCC-like, and/or regressive patterns; grade 2 (1.2≤LR+<5), large nest, alveolar, papillary, chromophobe/oncocytic cell-like, eosinophilic hyaline globule, and/or intratumoral inflammatory reaction patterns; grade 3 (5≤LR+<10), rhabdoid, tumor giant cell, enlarged vascular space, and/or hereditary leiomyomatosis renal cell carcinoma (HLRCC)-like patterns; grade 4 (LR+≥10), sarcomatoid, infiltrative growth patterns, and lymphatic invasion. In the principal cohort, 3-tier (grades 1-2, 3, and 4) and 4-tier architectural scores outperformed World Health Organization/International Society of Urological Pathology, and World Health Organization/ International Society of Urological Pathology+necrosis gradings for DFS and CSS, and constituted an independent predictor for DFS (hazard ratio [HR]=5.91; P<6.7E-10) and CSS (HR=4.49; P=2.2E-03), retained in the localized (pT1-3N0M0) ccRCC subgroup (HR=6.10; P=1.3E-07 for DFS, and HR=20.09; P=9.4E-05 for CSS). On comparing with integrated staging systems, architectural grade with 1 morphologic datum remained an independent predictor of CSS, as did University of California Los Angeles Integrated Staging System and SSIGN, and was associated with the highest HR (HR=2.60; P=9.1E-04 in all patients; HR=4.38; P=2.0E-05 in the localized ccRCC subgroup). Architecture-based score for ccRCC outperforms all other morphologic grading systems and constitutes an independent predictor for DFS and CSS. As the predictive values of 3-tier and 4-tier architecture-based scores were similar throughout the study, we proposed to keep the simplified version as the final score, and to define 3 risk groups as follows: low risk (grades 1 to 2), intermediate risk (grade 3), and high risk (grade 4).

Entities:  

Mesh:

Year:  2018        PMID: 29356723     DOI: 10.1097/PAS.0000000000001025

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  14 in total

1.  Development and validation of a vascularity-based architectural classification for clear cell renal cell carcinoma: correlation with conventional pathological prognostic factors, gene expression patterns, and clinical outcomes.

Authors:  Chisato Ohe; Takashi Yoshida; Mahul B Amin; Naho Atsumi; Junichi Ikeda; Kazuho Saiga; Yuri Noda; Yoshiki Yasukochi; Riuko Ohashi; Haruyuki Ohsugi; Koichiro Higasa; Hidefumi Kinoshita; Koji Tsuta
Journal:  Mod Pathol       Date:  2021-11-30       Impact factor: 7.842

2.  Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning.

Authors:  Paul H Acosta; Vandana Panwar; Vipul Jarmale; Alana Christie; Jay Jasti; Vitaly Margulis; Dinesh Rakheja; John Cheville; Bradley C Leibovich; Alexander Parker; James Brugarolas; Payal Kapur; Satwik Rajaram
Journal:  Cancer Res       Date:  2022-08-03       Impact factor: 13.312

3.  The effect of histologic grade on neoadjuvant treatment outcomes in esophageal cancer.

Authors:  David T Pointer; Jordan A McDonald; Samer A Naffouje; Rutika Mehta; Jason B Fleming; Jacques P Fontaine; Gregory Y Lauwers; Jessica M Frakes; Sarah E Hoffe; Jose M Pimiento
Journal:  J Surg Oncol       Date:  2022-05-16       Impact factor: 2.885

4.  Prognostic Value and Potential Biological Functions of CLDN8 in Patients with Clear Cell Renal Cell Carcinoma.

Authors:  Zhenpeng Zhu; Chunru Xu; Lanruo Lin; Tongde Lv; Tianyu Cai; Jian Lin
Journal:  Onco Targets Ther       Date:  2020-09-15       Impact factor: 4.147

5.  Magnetic Resonance Imaging Radiomics Analyses for Prediction of High-Grade Histology and Necrosis in Clear Cell Renal Cell Carcinoma: Preliminary Experience.

Authors:  Durgesh K Dwivedi; Yin Xi; Payal Kapur; Ananth J Madhuranthakam; Matthew A Lewis; Durga Udayakumar; Robert Rasmussen; Qing Yuan; Aditya Bagrodia; Vitaly Margulis; Michael Fulkerson; James Brugarolas; Jeffrey A Cadeddu; Ivan Pedrosa
Journal:  Clin Genitourin Cancer       Date:  2020-05-23       Impact factor: 2.872

6.  New developments in existing WHO entities and evolving molecular concepts: The Genitourinary Pathology Society (GUPS) update on renal neoplasia.

Authors:  Kiril Trpkov; Ondrej Hes; Sean R Williamson; Anthony J Gill; Adebowale J Adeniran; Abbas Agaimy; Reza Alaghehbandan; Mahul B Amin; Pedram Argani; Ying-Bei Chen; Liang Cheng; Jonathan I Epstein; John C Cheville; Eva Comperat; Isabela Werneck da Cunha; Jennifer B Gordetsky; Sounak Gupta; Huiying He; Michelle S Hirsch; Peter A Humphrey; Payal Kapur; Fumiyoshi Kojima; Jose I Lopez; Fiona Maclean; Cristina Magi-Galluzzi; Jesse K McKenney; Rohit Mehra; Santosh Menon; George J Netto; Christopher G Przybycin; Priya Rao; Qiu Rao; Victor E Reuter; Rola M Saleeb; Rajal B Shah; Steven C Smith; Satish Tickoo; Maria S Tretiakova; Lawrence True; Virginie Verkarre; Sara E Wobker; Ming Zhou
Journal:  Mod Pathol       Date:  2021-03-04       Impact factor: 8.209

7.  Pancreatic tropism of metastatic renal cell carcinoma.

Authors:  Nirmish Singla; Zhiqun Xie; Ze Zhang; Ming Gao; Qurratulain Yousuf; Oreoluwa Onabolu; Tiffani McKenzie; Vanina Toffessi Tcheuyap; Yuanqing Ma; Jacob Choi; Renee McKay; Alana Christie; Oscar Reig Torras; Isaac A Bowman; Vitaly Margulis; Ivan Pedrosa; Christopher Przybycin; Tao Wang; Payal Kapur; Brian Rini; James Brugarolas
Journal:  JCI Insight       Date:  2020-04-09

8.  Predictive models composed by radiomic features extracted from multi-detector computed tomography images for predicting low- and high- grade clear cell renal cell carcinoma: A STARD-compliant article.

Authors:  Xiaopeng He; Hanmei Zhang; Tong Zhang; Fugang Han; Bin Song
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.889

9.  The immune-checkpoint HLA-G/ILT4 is involved in the regulation of VEGF expression in clear cell renal cell carcinoma.

Authors:  Marcela García; Maria Belen Palma; Jerome Verine; Santiago Miriuka; Ana M Inda; Ana L Errecalde; François Desgrandchamps; Edgardo D Carosella; Diana Tronik-Le Roux
Journal:  BMC Cancer       Date:  2020-07-03       Impact factor: 4.430

10.  What morphology can teach us about renal cell carcinoma clonal evolution.

Authors:  Payal Kapur; Alana Christie; Satwik Rajaram; James Brugarolas
Journal:  Kidney Cancer J       Date:  2020-09
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