- Browse by Author
Browsing by Author "Conrads, Thomas P."
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Peptide ancestry informative markers in uterine neoplasms from women of European, African, and Asian ancestry(Elsevier, 2021-12-23) Bateman, Nicholas W.; Tarney, Christopher M.; Abulez, Tamara S.; Hood, Brian L.; Conrads, Kelly A.; Zhou, Ming; Soltis, Anthony R.; Teng, Pang-Ning; Jackson, Amanda; Tian, Chunqiao; Dalgard, Clifton L.; Wilkerson, Matthew D.; Kessler, Michael D.; Goecker, Zachary; Loffredo, Jeremy; Shriver, Craig D.; Hu, Hai; Cote, Michele; Parker, Glendon J.; Segars, James; Al-Hendy, Ayman; Risinger, John I.; Phippen, Neil T.; Casablanca, Yovanni; Darcy, Kathleen M.; Maxwell, G. Larry; Conrads, Thomas P.; O'Connor, Timothy D.; Medicine, School of MedicineCharacterization of ancestry-linked peptide variants in disease-relevant patient tissues represents a foundational step to connect patient ancestry with disease pathogenesis. Nonsynonymous single-nucleotide polymorphisms encoding missense substitutions within tryptic peptides exhibiting high allele frequencies in European, African, and East Asian populations, termed peptide ancestry informative markers (pAIMs), were prioritized from 1000 genomes. In silico analysis identified that as few as 20 pAIMs can determine ancestry proportions similarly to >260K SNPs (R2 = 0.99). Multiplexed proteomic analysis of >100 human endometrial cancer cell lines and uterine leiomyoma tissues combined resulted in the quantitation of 62 pAIMs that correlate with patient race and genotype-confirmed ancestry. Candidates include a D451E substitution in GC vitamin D-binding protein previously associated with altered vitamin D levels in African and European populations. pAIMs will support generalized proteoancestry assessment as well as efforts investigating the impact of ancestry on the human proteome and how this relates to the pathogenesis of uterine neoplasms.Item Quality of Life and Adverse Events: Prognostic Relationships in Long-Term Ovarian Cancer Survival(Oxford University Press, 2021) Wenzel, Lari; Osann, Kathryn; McKinney, Chelsea; Cella, David; Fulci, Giulia; Scroggins, Mary J.; Lankes, Heather A.; Wang, Victoria; Nephew, Kenneth P.; Maxwell, George L.; Mok, Samuel C.; Conrads, Thomas P.; Miller, Austin; Mannel, Robert S.; Gray, Heidi J.; Hanjani, Parviz; Huh, Warner K.; Spirtos, Nick; Leitao, Mario M., Jr.; Glaser, Gretchen; Sharma, Sudarshan K.; Santin, Alessandro D.; Sperduto, Paul; Lele, Shashikant B.; Burger, Robert A.; Monk, Bradley J.; Birrer, Michael; Medicine, School of MedicineBackground: 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.