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Yip, Stephen

https://orcid.org/0000-0002-8514-9861

Mayo Clinic

University of British Columbia

Citations 4

A framework for using DNA methylation-based modelling for the clinical management of cranial meningioma
Landry, Alexander , Wang, Justin Z. , Patil, Vikas, Ajisebutu, Andrew, Gui, Chloe , Yefet, Leeor, Mamatjan, Yasin , Wei, Qingxia , Singh, Olivia, Mansouri, Sheila , Ehret, Felix , Capper, David , Cohen-Gadol, Aaron A, Behling, Felix , Sloan, Andrew E. , Chambless, Lola B. , Makarenko, Serge , Yip, Stephen , Tsang, Derek S. , Gao, Andrew , Aldape, Kenneth , Nassiri, Farshad , Zadeh, Gelareh , Santarius, Thomas , Selman, Warren R., Couce, Marta , Wen, Patrick Y. , Walbert, Tobias , Felicella, Michelle M. , Brodie, Chaya , Snyder, James P., Saladino, Andrea , Schichor, Christian , Tonn, Jörg‐Christian, Goldbrunner, Roland , Timmer, Marco , Schimdt, Nils Ole, Jenkinson, Michael D. , Millward, Christopher P. , Islim, Abdurrahman I. , Fl, Behling, Santacroce, Antonio , Schittenhelm, Jens , Raleigh, David R. , Butowski, Nicholas , Westphal, Manfred , Lamszus, Katrin , Mawrin, Christian , Kurz, Sylvia C. , Zada, Gabriel , Yip, Stephen, Zherebitskiy, Viktor, Hnenny, Luke, Dunn, Ian F. , Moliterno, Jennifer , McDermott, Michael , Vogelbaum, Michael A. , Aldape, Kenneth, Alkividias, Tzannis, Short, Susan , Bos, Eelke M. , Dincer, Alper , Paßlack, Peter, Ehret, Felix, Lopez, Clara, Arvaniti, Christina , Benjamin, Carolina , Jackson, Christina , Jeyaretna, Sanjeeva, Scartoni, Daniele , Amelio, Dante , Ivanidze, Jana , Kien, Duong Trung, Millareschavez, Miguel, AlThgafi, Malak, LeRhun, Emilie, Smee, Robert, Muirhead, William , Molina, Eric Suero, Julius, Vitowanu, Chen, J., Mrugała, Maciej M. , Castro, Ana Valeria , Mamatjan, Yasin , Capper, David , Tatagiba, Marcos , Barnholtz-Sloan, Jill S , Yip, Stephen , Aldape, Kenneth , Zadeh, Gelareh , Short, Susan C , Yefet, Leeor S. , Ellenbogen, Yosef , Liu, Jeff , Singh, Olivia , Tabatabai, Ghazaleh , Tatagiba, Marcos , Barnholtz‐Sloan, Jill S. , Mansouri, Alireza , Brastianos, Priscilla K. , Shih, Helen A. , Bi, Wenya Linda , Huang, Raymond Y. , Wen, Patrick Yung , Lee, Ian , Malta, Tathiane Maistro , Castro, Ana Valéria , Noushmehr, Houtan , DiMeco, Francesco , Pollo, Bianca , Kaufmann, Timothy J. , Lachance, Daniel Honore , Giannini, Caterina , Galanis, Evanthia , Raghunathan, Aditya , Hanemann, C. Oliver , Au, Karolyn , Galldiks, Norbert , Herold‐Mende, Christel C. , Sahm, Felix , Jungk, Christine , Jungwirth, Gerhard , Deimling, Andreas von , Drummond, Katharine Jann , Morokoff, Andrew P. , Renovanz, Mirjam , Fougère, Christian la , Perry, Arie , Ricklefs, Franz , Horbinski, Craig , Ng, Ho‐Keung , Snuderl, Matija , Sulman, Erik P. , Cohen‐Gadol, Aaron , Javadpour, Mohsen , Fountain, Daniel Mark , Mathiesen, Tiit Illimar , Pathmanaban, Omar Nathan , Boutros, Paul C. , Fountas, Konstantinos N. , Walsh, Kyle M. , Carvalho, Bruno , Maas, Sybren L. N. , Deng, Maximilian Y. , Mehta, Minesh P. , Odia, Yazmín , Everson, Richard G. , Balogun, James , Calabrese, Evan , Karschnia, Philipp , Teske, Nico , Fariselli, Laura , Greve, Tobias , Ivan, Michael E , Palmer, Joshua D. , Ostrom, Quinn T. , Youngblood, Mark W. , Emerson, Sam, Weller, Michael , Martínez-Pérez, Rafael , Mukherjee, Raj, Cervio, Andrés , Turner, Clinton P. , Chen, Jiawei, Karmur, Brij S. , Neth, Bryan J.

Neuro-Oncology | November 15, 2025 | Volume: 28 | Issue: 2 | Pages: 430-439

10.1093/neuonc/noaf237 Get It

Abstract Background DNA methylation profiling can be used to robustly predict postsurgical outcomes and response to radiotherapy (RT) for meningioma patients. To allow for seamless integration of these complementary models into clinical practice, a practical framework is needed. Methods We leveraged a cohort of nearly 2000 surgically-treated meningiomas with DNA methylation profiling and clinical outcomes data. Existing methylation-based prediction models were dichotomized to yield four risk groups: low and high recurrent risk, each with RT sensitive and resistant subgroups. Risk groups were correlated with progression-free survival in the context of existing biomarkers including extent of resection and WHO grade. Results We first demonstrated that all risk groups benefit from gross total resection. All “high-risk, RT sensitive” tumors (n = 306, 15.7%) also benefited from adjuvant RT: after GTR, median PFS increased from 4.68 (4.13-9.48) years to not reached (P = .003); after subtotal resection (STR), from 2.12 (1.59-3.02) to 4.09 (3.41-not reached) years (P = .004). “Low-risk, RT sensitive cases” (n = 1207, 61.8%) also benefited from RT after STR (median PFS 7.39 (6.66-12.8) vs. 16.53 (10.35-not reached) years, P = .03), suggesting that RT be considered in these patients. Neither “low-risk RT resistant” (n = 84, 4.3%) nor “high-risk RT resistant” (n = 356, 18.2%) cases benefited from RT, and the latter group was associated with universally poor outcomes. Conclusions We identify methylation-defined risk groups of meningioma for which additional benefit is gained from adjuvant RT, leading to a clinical decision-making framework for straightforward integration of molecular models into clinical practice.
Preanalytical variables and analytes in liquid biopsy approach for brain tumors: A comprehensive review and recommendations from the RANO Group and the Brain Liquid Biopsy Consortium
Bettegowda, Chetan , Noushmehr, Houtan , Affinito, Alessandra , Ahluwalia, Manmeet S. , Ansorge, Olaf , Ayasoufi, Katayoun , Bagley, Stephen , Barnholtz‐Sloan, Jill S. , Brandsma, Dieta , Brodie, Chaya , Castro, Ana Valeria , Chang, Susan M. , Daher, Ahmad , Datta, Vineet , French, Pim J. , Golebiewska, Anna , Holdhoff, Matthias , LeBlang, Suzanne , Melin, Beatrice , Moulière, Florent , O’Leary, Claire , Robinson, Stephen , Sol, Nik , Vogelbaum, Michael A. , Walbert, Tobias , Watts, Colin , Wen, Patrick Y. , Wykes, Victoria , Yip, Stephen , Short, Susan , Barnholtz-Sloan, Jill S , Best, Myron , Brandsma, Dieta , Brüning-Richardson, Anke , Chang, Susan Marina , Condorelli, Gerolama , Daher, Ahmad , de Groot, John , French, Pim J , Galanis, Evanthia , Golebiewska, Anna , Hamerlik, Petra , Hanemann, C Oliver , Holdhoff, Matthias , Huse, Jason T. , Khasraw, Mustafa , LeBlang, Suzanne , Melin, Beatrice , Rominiyi, Ola , Roncaroli, F , Rudà, Roberta , Sol, Nik , van den Bent, Martin J , Walbert, Tobias , Watts, Colin , Weiss, Tobias , Weller, Michael , Wykes, Victoria , Yip, Stephen , Short, Susan C , Soffietti, Riccardo , Noushmehr, Houtan , Ayasoufi, Katayoun , Ahluwalia, Manmeet S , Bettegowda, Chetan , Groot, John de , Galanis, Evanthia , Hamerlik, Petra , Hanemann, C. Oliver , Khasraw, Mustafa , Rak, Janusz , Ray, Amitava, Roncaroli, Federico , Seoane, Joan , Bent, Martin J. van den , Wen, Patrick Yung , Soffietti, Riccardo

Neuro-Oncology | June 16, 2025 | Volume: 27 | Issue: 10 | Pages: 2496-2513

10.1093/neuonc/noaf140 Get It

Abstract This review explores the pivotal role of preanalytical variables in bringing liquid biopsy approaches into the clinic for brain tumors. Preanalytical variables encompass a range of critical issues, from blood sample collection and handling to the impact of tumor heterogeneity and patient-specific factors. These variables introduce challenges such as false positives, false negatives, and variability in the analysis of tumor signals, which can hinder the diagnostic and prognostic utility of liquid biopsies. Understanding the nuances of preanalytical variables is essential for the successful implementation of liquid biopsy in clinical settings. This paper delves into strategies aimed at mitigating the influence of preanalytical variables by emphasizing the importance of standardized sample collection protocols, optimized sample processing and storage, quality control measures, and the integration of multiple liquid biopsy modalities.
Prognostic significance of human telomerase reverse transcriptase promoter region mutations C228T and C250T for overall survival in spinal chordomas
Yip, Stephen , Jiang, Bowen , Wang, Wei‐Lien , Lazáry, Áron , Gambarotti, Marco , Zhang, Ming , Sciubba, Daniel M. , Wolinsky, Jean‐Paul , McCarthy, Edward F. , Germscheid, Niccole, Sahgal, Arjun , Gokaslan, Ziya L. , Fisher, Charles G. , Rhines, Laurence D. , Lazary, Aron , Bettegowda, Chetan , Clarke, Michelle J. , Goodwin, C. Rory , Boriani, Stefano , Varga, Péter

Neuro-Oncology | April 8, 2019 | Volume: 21 | Issue: 8 | Pages: 1005-1015

10.1093/neuonc/noz066 Get It

Abstract Background Spinal chordomas, a subtype of primary spinal column malignancies (PSCM), are rare tumors with poor prognosis, and we have limited understanding of the molecular drivers of neoplasia. Methods Study design was a retrospective review of prospectively collected data with cross-sectional survival. Archived paraffin embedded pathologic specimens were collected for 133 patients from 6 centers within Europe and North America between 1987 and 2012. Tumor DNA was extracted and the human telomerase reverse transcriptase (hTERT) promoter was sequenced. The hTERT mutational status was correlated with overall survival (OS) and time to first local recurrence. Results Ninety-two chordomas, 26 chondrosarcomas, 7 osteosarcomas, 3 Ewing’s sarcomas, and 5 other malignant spinal tumors were analyzed. Median OS following surgery was 5.8 years (95% CI: 4.6 to 6.9) and median time to first local recurrence was 3.9 years (95% CI: 2.5 to 6.7). Eight chordomas, 2 chondrosarcomas, 1 Ewing’s sarcoma, and 1 other malignant spinal tumor harbored either a C228T or C250T mutation in the hTERT promoter. In the overall cohort, all patients with hTERT mutation were alive at 10 years postoperative with a median OS of 5.1 years (95% CI: 4.5 to 6.6) (P = 0.03). hTERT promoter mutation was observed in 8.7% of spinal chordomas, and 100% of chordoma patients harboring the mutation were alive at 10 years postoperative compared with 67% patients without the mutation (P = 0.05). Conclusions We report for the first time that hTERT promoter mutations C228T and C250T are present in approximately 8.7% of spinal chordomas. The presence of hTERT mutations conferred a survival benefit and could potentially be a valuable positive prognostic molecular marker in spinal chordomas.