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Ye, Fei

https://orcid.org/0000-0001-6472-5076

Mayo Clinic

Vanderbilt University Medical Center

Citations 4

Mendelian Randomization Analysis of n-6 Polyunsaturated Fatty Acid Levels and Pancreatic Cancer Risk
Ghoneim, Dalia, Zhu, Jingjing , Murff, Harvey J. , Ye, Fei , Khankari, Nikhil K. , Haycock, Philip , Antwi, Samuel O. , Yang, Yaohua , Arslan, Alan A. , Bracci, Paige M. , Du, Mengmeng , Gallinger, Steven , Goodman, Phyllis J. , Scélo, Ghislaine , Visvanathan, Kala , Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Brennan, Paul , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Rabe, Kari G. , Duggal, Priya , Fuchs, Charles S. , Gaziano, J. Michael , Hackert, Thilo , Hassan, Manal M. , Helzlsouer, Kathy J. , Holly, Elizabeth A. , Hoover, Robert N. , Katske, Verena, Kurtz, Robert C. , Lee, I‐Min , Murphy, Neil , Oberg, Ann L. , Porta, Miquel , Rothman, Nathaniel , Sesso, Howard D. , Wactawski‐Wende, Jean , Wentzensen, Nicolas , Wolpin, Brian M. , Jacobs, Eric J. , Petersen, Gloria M. , Stolzenberg-Solomon, Rachel Z., Wu, Lang , Haycock, Philip , Arslan, Alan A , Canzian, Federico , Giles, Graham G , Visvanathan, Kala , Bamlet, William R , Brennan, Paul , Chaffee, Kari G. , Hackert, Thilo , Katzke, Verena , Malats, Nuria , Milne, Roger L , Oberg, Ann L , Sesso, Howard D , Wactawski-Wende, Jean , Yu, Herbert , Duell, Eric J , Amundadottir, Laufey , Klein, Alison P , Antwi, Samuel O , Murphy, Neil , Porta, Miquel , Duggal, Priya , Zheng, Wei , Long, Jirong , Setiawan, Veronica Wendy , Wilkens, Lynne R. , Freeman, Laura E. Beane , Canzian, Federico , Giles, Graham G. , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , White, Emily , Albanes, Demetrius , Amiano, Pilar , Bamlet, William R. , Brais, Lauren K , Campbell, Peter T. , Chanock, Stephen Jacob , Goggins, Michael , Malats, Núria , Milne, Roger L. , Rothman, Nathaniel , Silverman, Debra T. , Thompson, Ian M. , Wang, Xiaoliang , Yu, Kai , Zeleniuch‐Jacquotte, Anne , Duell, Eric J. , Risch, Harvey A. , Ámundadóttir, Laufey T. , Kraft, Peter , Klein, Alison P. , Shu, Xiao‐Ou , Yang, Yaohua

Cancer Epidemiology, Biomarkers & Prevention | September 23, 2020 | Volume: 29 | Issue: 12 | Pages: 2735-2739

10.1158/1055-9965.epi-20-0651 Get It

Abstract Background: Whether circulating polyunsaturated fatty acid (PUFA) levels are associated with pancreatic cancer risk is uncertain. Mendelian randomization (MR) represents a study design using genetic instruments to better characterize the relationship between exposure and outcome. Methods: We utilized data from genome-wide association studies within the Pancreatic Cancer Cohort Consortium and Pancreatic Cancer Case–Control Consortium, involving approximately 9,269 cases and 12,530 controls of European descent, to evaluate associations between pancreatic cancer risk and genetically predicted plasma n-6 PUFA levels. Conventional MR analyses were performed using individual-level and summary-level data. Results: Using genetic instruments, we did not find evidence of associations between genetically predicted plasma n-6 PUFA levels and pancreatic cancer risk [estimates per one SD increase in each PUFA-specific weighted genetic score using summary statistics: linoleic acid odds ratio (OR) = 1.00, 95% confidence interval (CI) = 0.98–1.02; arachidonic acid OR = 1.00, 95% CI = 0.99–1.01; and dihomo-gamma-linolenic acid OR = 0.95, 95% CI = 0.87–1.02]. The OR estimates remained virtually unchanged after adjustment for covariates, using individual-level data or summary statistics, or stratification by age and sex. Conclusions: Our results suggest that variations of genetically determined plasma n-6 PUFA levels are not associated with pancreatic cancer risk. Impact: These results suggest that modifying n-6 PUFA levels through food sources or supplementation may not influence risk of pancreatic cancer.
Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk
Yang, Yaohua , Wu, Lang , Shu, Xiao-Ou , Lu, Yingchang , Beeghly‐Fadiel, Alicia, Li, Bingshan , Ye, Fei , Banerjee, Susana , Benı́tez, Javier , Chang‐Claude, Jenny , Chen, Kexin , DeFazio, Anna , Dörk, Thilo , Eccles, Diana M., Edwards, Digna Velez, Fasching, Peter A. , Fortner, Renée T. , Gayther, Simon A. , Goode, Ellen L. , Goodman, Marc T. , Heitz, Florian , Hildebrandt, Michelle A.T., Høgdall, Estrid , Høgdall, Claus , Huntsman, David G. , Kar, Siddhartha , Kelemen, Linda E. , Koushik, Anita , Lambrechts, Diether , Le, Nhu D. , Levine, Douglas A. , Massuger, Leon F.A.G. , Matsuo, Keitaro , May, Taymaa, McNeish, Iain A. , Menon, Usha , Monteiro, Álvaro N.A. , Moorman, Patricia G. , Moysich, Kirsten B. , Ness, Roberta B., Olsson, Håkan , Onland‐Moret, N. Charlotte , Park, Sue K. , Paul, James , Pearce, Celeste Leigh, Phelan, Catherine M., Pike, Malcolm C. , Ramus, Susan J. , Ríboli, Elio , Rodríguez‐Antona, Cristina , Romieu, Isabelle, Sandler, Dale P. , Schildkraut, Joellen M. , Shan, Kang, Sieh, Weiva , Stampfer, Meir J. , Sutphen, Rebecca , Swerdlow, Anthony J. , Szafron, Lukasz M. , Teo, Soo‐Hwang , Tworoger, Shelley S. , Webb, Penelope M. , Wentzensen, Nicolas , Woo, Yin Ling , Wu, Anna H. , Chenevix‐Trench, Georgia , Sellers, Thomas A. , Long, Jirong , Eccles, Diana , Lambrechts, Diether , Chen, Kexin , Shu, Xiao-Ou , Brenton, James D , Chang-Claude, Jenny , Fazio, Anna de , Dennis, Joe , Fasching, Peter A , Fortner, Renée T , Giles, Graham G , Harris, Holly R , Kiemeney, Lambertus A , Kjaer, Susanne K , Koushik, Anita , McNeish, Iain A , Menon, Usha , Monteiro, Alvaro N , Nevanlinna, H , Park, Sue K , Paul, James , Ramus, Susan J , Rodríguez-Antona, Cristina , Sandler, Dale P , Szafron, Lukasz M , Teo, Soo H , Tworoger, Shelley S , Webb, Penelope M , Wolk, Alicja , Dörk, Thilo , Lambrechts, Diether , Eccles, Diana , Swerdlow, Anthony J , Moysich, Kirsten , Matsuo, Keitaro , Heitz, Florian , Lambrechts, Diether , Sieh, Weiva , Benitez, Javier , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Kar, Siddhartha , Riboli, Elio , Goodman, Marc T , Cai, Qiuyin , Beeghly‐Fadiel, Alicia , Berchuck, Andrew , Anton‐Culver, Hoda , Bjørge, Line , Brenton, James D. , Bützow, Ralf C. , Campbell, Ian , Cook, Linda S. , Cramer, Daniel W. , Doherty, Jennifer A. , Edwards, Digna R. Velez , Giles, Graham G. , Glasspool, Rosalind , Gronwald, Jacek , Harris, Holly R. , Hildebrandt, Michelle A.T. , Karlan, Beth Y. , Kiemeney, Lambertus A. , Kjær, Susanne K. , Modugno, Francesmary , Nevanlinna, Heli , Pejovic, Tanja B. , Setiawan, Veronica Wendy , Shan, Kang, Siddiqui, Nadeem , Tyrer, Jonathan P. , White, Emily , Willett, Walter C. , Wolk, Alicja , Li, Yan , Yannoukakos, Drakoulis , Pharoah, Paul D.P. , Zheng, Wei , Yang, Yaohua

Cancer Research | December 17, 2018 | Volume: 79 | Issue: 3 | Pages: 505-517

10.1158/0008-5472.can-18-2726 Get It

Abstract DNA methylation is instrumental for gene regulation. Global changes in the epigenetic landscape have been recognized as a hallmark of cancer. However, the role of DNA methylation in epithelial ovarian cancer (EOC) remains unclear. In this study, high-density genetic and DNA methylation data in white blood cells from the Framingham Heart Study (N = 1,595) were used to build genetic models to predict DNA methylation levels. These prediction models were then applied to the summary statistics of a genome-wide association study (GWAS) of ovarian cancer including 22,406 EOC cases and 40,941 controls to investigate genetically predicted DNA methylation levels in association with EOC risk. Among 62,938 CpG sites investigated, genetically predicted methylation levels at 89 CpG were significantly associated with EOC risk at a Bonferroni-corrected threshold of P < 7.94 × 10−7. Of them, 87 were located at GWAS-identified EOC susceptibility regions and two resided in a genomic region not previously reported to be associated with EOC risk. Integrative analyses of genetic, methylation, and gene expression data identified consistent directions of associations across 12 CpG, five genes, and EOC risk, suggesting that methylation at these 12 CpG may influence EOC risk by regulating expression of these five genes, namely MAPT, HOXB3, ABHD8, ARHGAP27, and SKAP1. We identified novel DNA methylation markers associated with EOC risk and propose that methylation at multiple CpG may affect EOC risk via regulation of gene expression. Significance: Identification of novel DNA methylation markers associated with EOC risk suggests that methylation at multiple CpG may affect EOC risk through regulation of gene expression.
Clinical Features of Acquired Resistance to Anti–PD-1 Therapy in Advanced Melanoma
Eroglu, Zeynep , Özgün, Alpaslan, Leger, Paul, Ye, Fei , Luke, Jason J. , Haq, Rizwan , Ott, Patrick A. , Hodi, F. Stephen , Sosman, Jeffrey A. , Johnson, Douglas B. , Buchbinder, Elizabeth I. , Wang, Daniel Y. , Zhao, Shilin , Joseph, Richard W. , Luke, Jason J

Cancer Immunology Research | April 10, 2017 | Volume: 5 | Issue: 5 | Pages: 357-362

10.1158/2326-6066.cir-16-0287 Get It

Abstract Anti–PD-1 therapy has improved clinical outcomes in advanced melanoma, but most patients experience intrinsic resistance. Responding patients can develop acquired resistance to anti–PD-1. We retrospectively reviewed 488 patients treated with anti–PD-1 from three academic centers and identified 36 patients with acquired resistance, defined as disease progression following objective response. The incidence, timing, disease sites, post-progression survival (PPS), and outcomes were evaluated descriptively. The acquired resistance cohort consisted of 67% with more than 1 feature of poor prognosis (stage M1c, elevated LDH, or brain metastasis), and 67% had previously received ipilimumab. Partial and complete responses were achieved in 89% (n = 32) and 11% (n = 4) of patients, respectively, and median time to resistance (progression-free survival; PFS) was 11.1 months (range 4.3–32.8 months). Most progression was isolated (78% of patients, n = 28) and occurred while receiving therapy (78%, n = 28). The median PPS was 12.8 months (range 0.1–51.8 months), and the median overall survival was 33.7 months. Among isolated progressors, 15 received localized therapy (12 with surgery, 3 with radiation). Patients with isolated versus systemic progression exhibited a trend for improved PPS (P = 0.081), and patients with an initial PFS ≥ 15 months showed significant PPS improvement (P = 0.036). Two patients experienced subsequent responses to anti–PD-1 resumption. In conclusion, acquired resistance to anti–PD-1 was frequently associated with excellent clinical outcomes and often presented as isolated progression amenable to localized therapy (surgery or radiation) or systemic progression sensitive to therapy resumption. Cancer Immunol Res; 5(5); 357–62. ©2017 AACR.
Prolonged Benefit from Ipilimumab Correlates with Improved Outcomes from Subsequent Pembrolizumab
Shreders, Amanda , Joseph, Richard W. , Peng, Chengwei , Ye, Fei , Sosman, Jeffrey A. , Johnson, Douglas B. , Joseph, Richard, Zhao, Shilin , Puzanov, Igor

Cancer Immunology Research | May 14, 2016 | Volume: 4 | Issue: 7 | Pages: 569-573

10.1158/2326-6066.cir-15-0281 Get It

Abstract Patients with metastatic melanoma whose disease progresses on ipilimumab can clearly derive benefit from subsequent anti–programmed death-1 (PD-1). However, patients experience heterogeneous outcomes with ipilimumab, including rapid or delayed progression, and it is unclear whether patterns of ipilimumab progression influence subsequent clinical responses to anti–PD-1. We retrospectively reviewed data from 116 patients with metastatic melanoma who progressed on ipilimumab and were subsequently treated with pembrolizumab. The study objectives were to determine whether progression-free survival (PFS) with ipilimumab was associated with PFS, objective response rate (ORR), and clinical benefit rate (CBR; ORR + stable disease) with pembrolizumab. Patients with PFS ≥90 days after treatment with ipilimumab generally had superior outcomes with subsequent pembrolizumab treatment compared with patients with PFS <90 days (ORR, 49% vs. 35%, P = 0.12; CBR, 66% vs. 46%, P = 0.03). Patients with prolonged ipilimumab benefit (PFS ≥ 180 days) had excellent outcomes with pembrolizumab compared with rapid progressors (PFS < 45 days; ORR, 55% vs. 25%; CBR, 80% vs. 25%; median PFS, 249 vs. 50 days). Using logistic regression models, PFS with ipilimumab was independently correlated with response to pembrolizumab (odds ratio, 1.22; 95% CI, 1.02–1.51). This study shows that prolonged PFS with ipilimumab predicts excellent outcomes with subsequent pembrolizumab treatment, offering valuable prognostic information for clinicians. Cancer Immunol Res; 4(7); 569–73. ©2016 AACR.