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Mok, Samuel C

0000-0001-7013-1805

Mayo Clinic

MD Anderson Cancer Center, The University of Texas, Houston, TX 77030, USA.

Citations 2

Dissection of PIK3CA Aberration for Cervical Adenocarcinoma Outcomes
Doran, Graeme, Cheung, Tak-Hong, Yim, So‐Fan, Yu, Mei‐Yung, Thorner, Aaron R. , Pedamallu, Chandra Sekhar , Lau, Kei-Man, Ducar, Matthew D. , Wong, Raymond R.Y., Wang, Vivian W., Nag, Anwesha , Wollison, Bruce M. , Dalgarno, Audrey, Lee, Jacqueline Ho Sze , Yeung, Suet-Ying, Wong, Lo , Leung, Shuk-On A., Mu, Yi , Mok, Samuel C. , Crum, Christopher P. , Chiu, Rossa W. K. , Berkowitz, Ross S. , Wong, Yick‐Fu, Thorner, Aaron R , Ducar, Matthew D , Lee, Jacqueline H S , Mok, Samuel C , Chung, Tony K.H. , Yim, So Fan, Worley, Michael J. , Elias, Kevin M. , Ojesina, Akinyemi I. , Yeung, Suet Ying, Horowitz, Neil S. , Davis, Michelle , Leung, Shuk On Annie , Chan, Paul K.S. , Lawrence, Michael S.

Cancers | June 28, 2021 | Volume: 13 | Issue: 13 | Pages: 3218

10.3390/cancers13133218 Get It

Personalized treatment of genetically stratified subgroups has the potential to improve outcomes in many malignant tumors. This study distills clinically meaningful prognostic/predictive genomic marker for cervical adenocarcinoma using signature genomic aberrations and single-point nonsynonymous mutation-specific droplet digital PCR (ddPCR). Mutations in PIK3CA E542K, E545K, or H1047R were detected in 41.7% of tumors. PIK3CA mutation detected in the patient’s circulating DNA collected before treatment or during follow-up was significantly associated with decreased progression-free survival or overall survival. PIK3CA mutation in the circulating DNA during follow-up after treatment predicted recurrence with 100% sensitivity and 64.29% specificity. It is the first indication of the predictive power of PIK3CA mutations in cervical adenocarcinoma. The work contributes to the development of liquid biopsies for follow up surveillance and a possibility of tailoring management of this particular women’s cancer.
Quality of Life and Adverse Events: Prognostic Relationships in Long-Term Ovarian Cancer Survival
Wenzel, Lari , Osann, Kathryn , McKinney, Chelsea , Cella, David , Fulci, Giulia , Scroggins, Mary Jackson, Lankes, Heather A. , Wang, Victoria , Nephew, Kenneth P. , Maxwell, G. Larry , Mok, Samuel C. , Miller, Austin , Mannel, Robert S., Gray, Heidi J. , Hanjani, Parviz, Huh, Warner K. , Spirtos, Nick M. , Sharma, Sudarshan , Santin, Alessandro D. , Sperduto, Paul W. , Lele, Shashikant B., Burger, Robert A. , Monk, Bradley J. , Birrer, Michael J. , Miller, Austin , Spirtos, Nick , Glaser, Gretchen , Monk, Bradley J , Mok, Samuel C , Conrads, Thomas , Leitão, Mario M. , Glaser, Gretchen

JNCI: Journal of the National Cancer Institute | March 15, 2021 | Volume: 113 | Issue: 10 | Pages: 1369-1378

10.1093/jnci/djab034 Get It

Abstract Background There is a critical need to identify patient characteristics associated with long-term ovarian cancer survival. Methods Quality of life (QOL), measured by the Functional Assessment of Cancer Therapy-Ovarian-Trial Outcome Index (FACT-O-TOI), including physical, functional, and ovarian-specific subscales, was compared between long-term survivors (LTS) (8+ years) and short-term survivors (STS) (<5 years) of GOG 218 at baseline; before cycles 4, 7, 13, 21; and 6 months post-treatment using linear and longitudinal mixed models adjusted for covariates. Adverse events (AEs) were compared between survivor groups at each assessment using generalized linear models. All P values are 2-sided. Results QOL differed statistically significantly between STS (N = 1115) and LTS (N = 260) (P < .001). Baseline FACT-O-TOI and FACT-O-TOI change were independently associated with long-term survival (odds ratio = 1.05, 95% confidence interval = 1.03 to 1.06 and odds ratio = 1.06, 95% confidence interval = 1.05 to 1.07, respectively). A 7-point increase in baseline QOL was associated with a 38.0% increase in probability of LTS, and a 9-point increase in QOL change was associated with a 67.0% increase in odds for LTS. QOL decreased statistically significantly with increasing AE quartiles (cycle 4 quartiles: 0-5 vs 6-8 vs 9-11 vs ≥12 AEs, P = .01; cycle 21 quartiles: 0-2 vs 3 vs 4-5 vs ≥6 AEs, P = .001). Further, LTS reported statistically significantly better QOL compared with STS (P = .03 and P = .01, cycles 4 and 21, respectively), with similar findings across higher AE grades. Conclusions Baseline and longitudinal QOL change scores distinguished LTS vs STS and are robust prognosticators for long-term survival. Results have trial design and supportive care implications, providing meaningful prognostic value in this understudied population.