Louis Y El Khoury1,2, Shuang Fu1,2,3, Ryan A Hlady1,2, Ryan T Wagner1,2, Liguo Wang4, Jeanette E Eckel-Passow4, Erik P Castle5, Melissa L Stanton6, R Houston Thompson7, Alexander S Parker8, Thai H Ho9, Keith D Robertson10,11. 1. Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA. 2. Center for Individualized Medicine, Epigenomics Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. 3. Hematology Laboratory, Shengjing Hospital of China Medical University, Shenyang, China. 4. Division of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA. 5. Department of Urology, Mayo Clinic, Phoenix, AZ, USA. 6. Department of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, USA. 7. Department of Urology, Mayo Clinic, Rochester, MN, USA. 8. Office of Research Affairs, University of Florida, Jacksonville, FL, USA. 9. Division of Hematology and Medical Oncology, Mayo Clinic, 13400 E. Shea Blvd, Scottsdale, AZ, 85259, USA. ho.thai@mayo.edu. 10. Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA. robertson.keith@mayo.edu. 11. Center for Individualized Medicine, Epigenomics Program, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. robertson.keith@mayo.edu.
Abstract
BACKGROUND: Despite using prognostic algorithms and standard surveillance guidelines, 17% of patients initially diagnosed with low risk clear cell renal cell carcinoma (ccRCC) ultimately relapse and die of recurrent disease, indicating additional molecular parameters are needed for improved prognosis. RESULTS: To address the gap in ccRCC prognostication in the lower risk population, we performed a genome-wide analysis for methylation signatures capable of distinguishing recurrent and non-recurrent ccRCCs within the subgroup classified as 'low risk' by the Mayo Clinic Stage, Size, Grade, and Necrosis score (SSIGN 0-3). This approach revealed that recurrent patients have globally hypermethylated tumors and differ in methylation significantly at 5929 CpGs. Differentially methylated CpGs (DMCpGs) were enriched in regulatory regions and genes modulating cell growth and invasion. A subset of DMCpGs stratified low SSIGN groups into high and low risk of recurrence in independent data sets, indicating that DNA methylation enhances the prognostic power of the SSIGN score. CONCLUSIONS: This study reports a global DNA hypermethylation in tumors of recurrent ccRCC patients. Furthermore, DMCpGs were capable of discriminating between aggressive and less aggressive tumors, in addition to SSIGN score. Therefore, DNA methylation presents itself as a potentially strong biomarker to further improve prognostic power in patients with low risk SSIGN score (0-3).
BACKGROUND: Despite using prognostic algorithms and standard surveillance guidelines, 17% of patients initially diagnosed with low risk clear cell renal cell carcinoma (ccRCC) ultimately relapse and die of recurrent disease, indicating additional molecular parameters are needed for improved prognosis. RESULTS: To address the gap in ccRCC prognostication in the lower risk population, we performed a genome-wide analysis for methylation signatures capable of distinguishing recurrent and non-recurrent ccRCCs within the subgroup classified as 'low risk' by the Mayo Clinic Stage, Size, Grade, and Necrosis score (SSIGN 0-3). This approach revealed that recurrent patients have globally hypermethylated tumors and differ in methylation significantly at 5929 CpGs. Differentially methylated CpGs (DMCpGs) were enriched in regulatory regions and genes modulating cell growth and invasion. A subset of DMCpGs stratified low SSIGN groups into high and low risk of recurrence in independent data sets, indicating that DNA methylation enhances the prognostic power of the SSIGN score. CONCLUSIONS: This study reports a global DNA hypermethylation in tumors of recurrent ccRCC patients. Furthermore, DMCpGs were capable of discriminating between aggressive and less aggressive tumors, in addition to SSIGN score. Therefore, DNA methylation presents itself as a potentially strong biomarker to further improve prognostic power in patients with low risk SSIGN score (0-3).
Authors: Valerie Obenchain; Michael Lawrence; Vincent Carey; Stephanie Gogarten; Paul Shannon; Martin Morgan Journal: Bioinformatics Date: 2014-03-28 Impact factor: 6.937
Authors: Igor Frank; Michael L Blute; John C Cheville; Christine M Lohse; Amy L Weaver; Horst Zincke Journal: J Urol Date: 2002-12 Impact factor: 7.450
Authors: Fengju Chen; Yiqun Zhang; Yasin Şenbabaoğlu; Giovanni Ciriello; Lixing Yang; Ed Reznik; Brian Shuch; Goran Micevic; Guillermo De Velasco; Eve Shinbrot; Michael S Noble; Yiling Lu; Kyle R Covington; Liu Xi; Jennifer A Drummond; Donna Muzny; Hyojin Kang; Junehawk Lee; Pheroze Tamboli; Victor Reuter; Carl Simon Shelley; Benny A Kaipparettu; Donald P Bottaro; Andrew K Godwin; Richard A Gibbs; Gad Getz; Raju Kucherlapati; Peter J Park; Chris Sander; Elizabeth P Henske; Jane H Zhou; David J Kwiatkowski; Thai H Ho; Toni K Choueiri; James J Hsieh; Rehan Akbani; Gordon B Mills; A Ari Hakimi; David A Wheeler; Chad J Creighton Journal: Cell Rep Date: 2016-03-03 Impact factor: 9.423
Authors: David J Clark; Saravana M Dhanasekaran; Francesca Petralia; Jianbo Pan; Xiaoyu Song; Yingwei Hu; Felipe da Veiga Leprevost; Boris Reva; Tung-Shing M Lih; Hui-Yin Chang; Weiping Ma; Chen Huang; Christopher J Ricketts; Lijun Chen; Azra Krek; Yize Li; Dmitry Rykunov; Qing Kay Li; Lin S Chen; Umut Ozbek; Suhas Vasaikar; Yige Wu; Seungyeul Yoo; Shrabanti Chowdhury; Matthew A Wyczalkowski; Jiayi Ji; Michael Schnaubelt; Andy Kong; Sunantha Sethuraman; Dmitry M Avtonomov; Minghui Ao; Antonio Colaprico; Song Cao; Kyung-Cho Cho; Selim Kalayci; Shiyong Ma; Wenke Liu; Kelly Ruggles; Anna Calinawan; Zeynep H Gümüş; Daniel Geiszler; Emily Kawaler; Guo Ci Teo; Bo Wen; Yuping Zhang; Sarah Keegan; Kai Li; Feng Chen; Nathan Edwards; Phillip M Pierorazio; Xi Steven Chen; Christian P Pavlovich; A Ari Hakimi; Gabriel Brominski; James J Hsieh; Andrzej Antczak; Tatiana Omelchenko; Jan Lubinski; Maciej Wiznerowicz; W Marston Linehan; Christopher R Kinsinger; Mathangi Thiagarajan; Emily S Boja; Mehdi Mesri; Tara Hiltke; Ana I Robles; Henry Rodriguez; Jiang Qian; David Fenyö; Bing Zhang; Li Ding; Eric Schadt; Arul M Chinnaiyan; Zhen Zhang; Gilbert S Omenn; Marcin Cieslik; Daniel W Chan; Alexey I Nesvizhskii; Pei Wang; Hui Zhang Journal: Cell Date: 2019-10-31 Impact factor: 41.582
Authors: Gillian L Dalgliesh; Kyle Furge; Chris Greenman; Lina Chen; Graham Bignell; Adam Butler; Helen Davies; Sarah Edkins; Claire Hardy; Calli Latimer; Jon Teague; Jenny Andrews; Syd Barthorpe; Dave Beare; Gemma Buck; Peter J Campbell; Simon Forbes; Mingming Jia; David Jones; Henry Knott; Chai Yin Kok; King Wai Lau; Catherine Leroy; Meng-Lay Lin; David J McBride; Mark Maddison; Simon Maguire; Kirsten McLay; Andrew Menzies; Tatiana Mironenko; Lee Mulderrig; Laura Mudie; Sarah O'Meara; Erin Pleasance; Arjunan Rajasingham; Rebecca Shepherd; Raffaella Smith; Lucy Stebbings; Philip Stephens; Gurpreet Tang; Patrick S Tarpey; Kelly Turrell; Karl J Dykema; Sok Kean Khoo; David Petillo; Bill Wondergem; John Anema; Richard J Kahnoski; Bin Tean Teh; Michael R Stratton; P Andrew Futreal Journal: Nature Date: 2010-01-06 Impact factor: 49.962
Authors: Christopher J Ricketts; Aguirre A De Cubas; Huihui Fan; Christof C Smith; Martin Lang; Ed Reznik; Reanne Bowlby; Ewan A Gibb; Rehan Akbani; Rameen Beroukhim; Donald P Bottaro; Toni K Choueiri; Richard A Gibbs; Andrew K Godwin; Scott Haake; A Ari Hakimi; Elizabeth P Henske; James J Hsieh; Thai H Ho; Rupa S Kanchi; Bhavani Krishnan; David J Kwiatkowski; Wembin Lui; Maria J Merino; Gordon B Mills; Jerome Myers; Michael L Nickerson; Victor E Reuter; Laura S Schmidt; C Simon Shelley; Hui Shen; Brian Shuch; Sabina Signoretti; Ramaprasad Srinivasan; Pheroze Tamboli; George Thomas; Benjamin G Vincent; Cathy D Vocke; David A Wheeler; Lixing Yang; William Y Kim; A Gordon Robertson; Paul T Spellman; W Kimryn Rathmell; W Marston Linehan Journal: Cell Rep Date: 2018-04-03 Impact factor: 9.423