These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
673 related articles for article (PubMed ID: 33795526)
21. [Clinicopathological features of BAP1 mutated clear cell renal cell carcinoma]. Bai YF; Weng MH; He JJ; Xu LM; Chang CD; Teng XD Zhonghua Bing Li Xue Za Zhi; 2024 Aug; 53(8):797-802. PubMed ID: 39103260 [No Abstract] [Full Text] [Related]
22. The roles of chromatin-remodelers and epigenetic modifiers in kidney cancer. Liao L; Testa JR; Yang H Cancer Genet; 2015 May; 208(5):206-14. PubMed ID: 25873528 [TBL] [Abstract][Full Text] [Related]
23. A radiogenomics biomarker based on immunological heterogeneity for non-invasive prognosis of renal clear cell carcinoma. Gao J; Ye F; Han F; Jiang H; Zhang J Front Immunol; 2022; 13():956679. PubMed ID: 36177018 [TBL] [Abstract][Full Text] [Related]
24. Computational analysis of the mutations in BAP1, PBRM1 and SETD2 genes reveals the impaired molecular processes in renal cell carcinoma. Piva F; Giulietti M; Occhipinti G; Santoni M; Massari F; Sotte V; Iacovelli R; Burattini L; Santini D; Montironi R; Cascinu S; Principato G Oncotarget; 2015 Oct; 6(31):32161-8. PubMed ID: 26452128 [TBL] [Abstract][Full Text] [Related]
25. Expression and Mutation Patterns of PBRM1, BAP1 and SETD2 Mirror Specific Evolutionary Subtypes in Clear Cell Renal Cell Carcinoma. Bihr S; Ohashi R; Moore AL; Rüschoff JH; Beisel C; Hermanns T; Mischo A; Corrò C; Beyer J; Beerenwinkel N; Moch H; Schraml P Neoplasia; 2019 Feb; 21(2):247-256. PubMed ID: 30660076 [TBL] [Abstract][Full Text] [Related]
26. CT-Based Radiomics Signature for Preoperative Prediction of Coagulative Necrosis in Clear Cell Renal Cell Carcinoma. Xu K; Liu L; Li W; Sun X; Shen T; Pan F; Jiang Y; Guo Y; Ding L; Zhang M Korean J Radiol; 2020 Jun; 21(6):670-683. PubMed ID: 32410406 [TBL] [Abstract][Full Text] [Related]
27. Clinical and pathological impact of VHL, PBRM1, BAP1, SETD2, KDM6A, and JARID1c in clear cell renal cell carcinoma. Gossage L; Murtaza M; Slatter AF; Lichtenstein CP; Warren A; Haynes B; Marass F; Roberts I; Shanahan SJ; Claas A; Dunham A; May AP; Rosenfeld N; Forshew T; Eisen T Genes Chromosomes Cancer; 2014 Jan; 53(1):38-51. PubMed ID: 24166983 [TBL] [Abstract][Full Text] [Related]
28. Commentary on "Effects on survival of BAP1 and PBRM1 mutations in sporadic clear-cell renal-cell carcinoma: a retrospective analysis with independent validation." Kapur P, Peña-Llopis S, Christie A, Zhrebker L, Pavía-Jiménez A, Rathmell WK, Xie XJ, Brugarolas J. Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX. Lancet Oncol 2013; 14(2):159-67. [Epub 2013 Jan 16]. doi: 10.1016/S1470-2045(12)70584-3. Boorjian S Urol Oncol; 2014 Aug; 32(6):934-5. PubMed ID: 25087671 [TBL] [Abstract][Full Text] [Related]
30. Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways. Zhao Y; Liu G; Sun Q; Zhai G; Wu G; Li ZC Eur Radiol; 2021 Jul; 31(7):5032-5040. PubMed ID: 33439312 [TBL] [Abstract][Full Text] [Related]
31. Radiogenomic analysis based on lipid metabolism-related subset for non-invasive prediction for prognosis of renal clear cell carcinoma. He H; Xie Y; Song F; Feng Z; Rong P Eur J Radiol; 2024 Jun; 175():111433. PubMed ID: 38554673 [TBL] [Abstract][Full Text] [Related]
32. Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model. Chen X; Zhou Z; Hannan R; Thomas K; Pedrosa I; Kapur P; Brugarolas J; Mou X; Wang J Phys Med Biol; 2018 Oct; 63(21):215008. PubMed ID: 30277889 [TBL] [Abstract][Full Text] [Related]
33. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT. Coy H; Hsieh K; Wu W; Nagarajan MB; Young JR; Douek ML; Brown MS; Scalzo F; Raman SS Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739 [TBL] [Abstract][Full Text] [Related]
34. Incremental value of automatically segmented perirenal adipose tissue for pathological grading of clear cell renal cell carcinoma: a multicenter cohort study. Li S; Zhou Z; Gao M; Liao Z; He K; Qu W; Li J; Kamel IR; Chu Q; Zhang Q; Li Z Int J Surg; 2024 Jul; 110(7):4221-4230. PubMed ID: 38573065 [TBL] [Abstract][Full Text] [Related]
36. Genomics and clinical correlates of renal cell carcinoma. Mitchell TJ; Rossi SH; Klatte T; Stewart GD World J Urol; 2018 Dec; 36(12):1899-1911. PubMed ID: 30099580 [TBL] [Abstract][Full Text] [Related]
37. Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning. Nazari M; Shiri I; Hajianfar G; Oveisi N; Abdollahi H; Deevband MR; Oveisi M; Zaidi H Radiol Med; 2020 Aug; 125(8):754-762. PubMed ID: 32193870 [TBL] [Abstract][Full Text] [Related]
38. A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study. Nie P; Yang G; Wang Y; Xu Y; Yan L; Zhang M; Zhao L; Wang N; Zhao X; Li X; Cheng N; Wang Y; Chen C; Wang N; Duan S; Wang X; Wang Z Eur Radiol; 2023 Dec; 33(12):8858-8868. PubMed ID: 37389608 [TBL] [Abstract][Full Text] [Related]
39. CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma. Demirjian NL; Varghese BA; Cen SY; Hwang DH; Aron M; Siddiqui I; Fields BKK; Lei X; Yap FY; Rivas M; Reddy SS; Zahoor H; Liu DH; Desai M; Rhie SK; Gill IS; Duddalwar V Eur Radiol; 2022 Apr; 32(4):2552-2563. PubMed ID: 34757449 [TBL] [Abstract][Full Text] [Related]
40. Enhancing the Efficacy of Radiomics-Based Prediction of Fuhrman Pathological Grading in Renal Clear Cell Carcinoma Using Multilayer Spiral CT Imaging. Liu B; Liu A; Wu Y; Qi Y; Peng Y Arch Esp Urol; 2024 Jul; 77(6):674-680. PubMed ID: 39104236 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]