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1111 citation(s) found for "Vo, Pamela".

Drug Class Combination–Associated Acute Kidney Injury
Rivosecchi, Ryan , Kellum, John A. , Dasta, Joseph F. , Armahizer, Michael , Bolesta, Scott , Buckley, Mitchell S. , Frazee, Erin N., Johnson, Heather , Murugan, Raghavan , Smithburger, Pamela L. , Gill, Sandra L., Kane‐Gill, Sandra L. , Dzierba, Amy L. , Frazee, Erin N., Kim, Catherine , Wong, Adrian , Kane-Gill, Sandra L , Kellum, John A

Annals of Pharmacotherapy | July 7, 2016 | Volume: 50 | Issue: 11 | Pages: 953-972

10.1177/1060028016657839 | PMID 27389325 Get It

Objective: To evaluate the quality of available evidence of drug class combinations and their association with the development of acute kidney injury (AKI). Data Sources: A search of MEDLINE and Embase databases was completed using the following terms: “risk factor AND (acute kidney injury or acute kidney failure) AND (drug or medication).” Study Selection and Data Extraction: Inclusion criteria were the following: English language, full-text availability, and at least 1 drug-combination. Each citation was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria. The literature was evaluated using the quality of evidence component of GRADE. No standardized definition of AKI was applied throughout.. Data Synthesis: Out of 2139 total citations, 151 were assessed for full-text review, with 121 citations (6%) meeting inclusion criteria, producing76 unique drug class combinations. Overall, 56 combinations (73.7%) were considered very low quality; 12 (15.8%) were considered low quality. There were 8 (10.5%) of moderate quality, and no combination was considered high quality. 58 (76%) combinations that had a single citation,with a mean of 1.6 citations per drug class combination. The combination of nonsteroidal anti-inflammatory drugs (NSAIDs) and diuretics was reported in 10 citations, the largest number of citations. Conclusions: Our study demonstrates a lack of well-designed studies addressing drug class combination–associated AKI. The combination of NSAIDs and diuretics with or without additional renin-angiotensin aldosterone agents had the strongest level of evidence. Despite limitations, the information included in this review may result in additional scrutiny about combining certain individual nephrotoxic drugs.
Feasibility Testing of the Alert for AFib Intervention
McCabe, Pamela J. , Douglas, Kristin Vickers, Barton, Debra L. , Austin, Christine M., Delgado, Adriana, Austin, Christine, DeVon, Holli A.

Western Journal of Nursing Research | July 7, 2016 | Volume: 39 | Issue: 2 | Pages: 252-272

10.1177/0193945916656609 | PMID 27387372 Get It

Improving early detection and treatment of atrial fibrillation (AF) is critical because untreated AF is a major contributor to stroke and heart failure. We sought to generate knowledge about the feasibility of conducting a randomized controlled trial to test the effect of the Alert for AFib intervention on knowledge, attitudes, and beliefs about treatment-seeking for signs and symptoms of AF. Adults ≥65 years old (96% White) at risk for developing AF were randomized to receive the Alert for AFib intervention ( n = 40) or an attention control session ( n = 40). Feasibility goals for recruitment, participant retention, adherence, perceived satisfaction and burden, and intervention fidelity were met. From baseline to study completion, knowledge ( p = .005) and attitudes ( p < .001) about treatment-seeking improved more in the intervention group compared with the control group. Results support testing the effectiveness of the Alert for AFib intervention in a large trial.
Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer
Hampras, Shalaka , Sucheston‐Campbell, Lara, Cannioto, Rikki , Chang‐Claude, Jenny , Dörk, Thilo , Hillemanns, Peter , Preus, Leah, Knutson, Keith L. , Wallace, Paul K. , Friel, Grace , Davis, Warren , Nesline, Mary , Pearce, Celeste Leigh, Kelemen, Linda E. , Goodman, Marc T. , Terry, Kathryn L. , Schoof, Nils , Eng, Kevin H., Clay‐Gilmour, Alyssa , Joseph, Janine M. , Aben, Katja K.H. , Antonenkova, Natalia, Baker, Helen , Bean, Yukie T., Beckmann, Matthias W. , Bisogna, Maria, Bogdanova, Natalia , Brinton, Louise A. , Bruinsma, Fiona , Campbell, Ian , Carty, Karen , Dansonka‐Mieszkowska, Agnieszka , Despierre, Evelyn, Dicks, Ed , Easton, Doug , Eccles, Diana , Edwards, Robert P., Ekici, Arif B. , Fasching, Peter A. , Gao, Yu‐Tang , Harrington, Patricia, Harter, Philipp , Hasmad, Hanis Nazihah, Hein, Alexander , Heitz, Florian , Hildebrandt, Michelle A.T., Høgdall, Claus , Høgdall, Estrid , Hosono, Satoyo , Iversen, Edwin S., Jakubowska, Anna , Jensen, Allan , Ji, Bu‐Tian , Kellar, Melissa, Kelley, Joseph L., Kiemeney, Lambertus A. , Klapdor, Rüdiger , Kolomeyevskaya, Nonna, Krakstad, Camilla , Kruszka, Bridget, Kupryjańczyk, Jolanta , Lambrechts, Diether , Lambrechts, Sandrina, Le, Nhu D. , Lee, Alice W. , Lele, Shashikant , Leminen, Arto, Lester, Jenny, Levine, Douglas A. , Liang, Dong , Lissowska, Jolanta , Liu, Song , Lu, Karen, Lubiński, Jan , Lundvall, Lene, Massuger, Leon F.A.G. , Matsuo, Keitaro , McGuire, V., McLaughlin, John R., McNeish, Iain A. , Menon, Usha , Moes-Sosnowska, Joanna , Narod, Steven A., Nedergaard, Lotte , Nickels, Stefan , Olson, Sara H. , Weber, Rachel Palmieri , Paul, James , Pelttari, Liisa M. , Perkins, Barbara, Permuth‐Wey, Jenny, Pike, Malcolm C., Plisiecka-Hałasa, Joanna, Rossing, Mary Anne, Rothstein, Joseph H. , Runnebaum, Ingo B. , Rzepecka, Iwona K. , Salvesen, Helga B., Schernhammer, Eva , Schmitt, Kristina, Schwaab, Ira, Shvetsov, Yurii B. , Sieh, Weiva , Song, Honglin , Southey, Melissa C. , Tangen, Ingvild L. , Teo, Soo‐Hwang , Thompson, Pamela J., Timorek, Agnieszka, Tworoger, Shelley S. , Altena, Anna M. van, Vergote, Ignace , Vierkant, Robert A. , Walsh, Christine , Wang‐Gohrke, Shan , Wentzensen, Nicolas, Whittemore, Alice S. , Wicklund, Kristine G. , Wu, Anna H. , Wu, Xifeng , Woo, Yin Ling , Zheng, Wei , Gayther, Simon A. , Ramus, Susan J. , Sellers, Thomas A. , Schildkraut, Joellen M. , Phelan, Catherine M., Chenevix‐Trench, Georgia , Cunningham, Julie M. , Ness, Roberta B., Odunsi, Kunle , Goode, Ellen L. , Moysich, Kirsten B., Lu, Karen H. , Lambrechts, Diether , Modugno, Francesmary , Knutson, Keith L. , Hong, Chi‐Chen , Bandera, Elisa V. , Singh, Prashant Kumar , Anton‐Culver, Hoda , Bjørge, Line , Brooks‐Wilson, Angela , Bützow, Ralf C. , Cook, Linda S. , Cramer, Daniel W. , Cybulski, Cezary , Dennis, Joe , Doherty, Jennifer A. , Bois, Andreas du , Dürst, Matthias , Fridley, Brooke L. , Gentry‐Maharaj, Aleksandra , Giles, Graham G. , Glasspool, Rosalind , Gronwald, Jacek , Hildebrandt, Michelle A.T. , Karlan, Beth Y. , Kjær, Susanne K. , Lu, Karen, McLaughlin, John R., Nevanlinna, Heli , Orlow, Irene , Pejovic, Tanja B. , Poole, Elizabeth M. , Risch, Harvey A. , Rudolph, Anja , Shu, Xiao‐Ou , Siddiqui, Nadeem , Tyrer, Jonathan P. , Wentzensen, Nicolas , Wilkens, Lynne R. , Yang, Hannah , Ziogas, Argyrios , Berchuck, Andrew , Pharoah, Paul D.P. , Pelttari, L M , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Ramus, Susan J , Teo, Soo H , Tworoger, Shelley S , Hein, Alexander , Hillemanns, Peter , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Paul, James , Moysich, Kirsten , Lissowska, Jolanta , Campbell, Ian G , Southey, Melissa C , Matsuo, Keitaro , Heitz, Florian , Jakubowska, Anna , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Ekici, Arif B , Bogdanova, Natalia V , Chenevix-Trench, Georgia , Zheng, Wei , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T

Oncotarget | July 6, 2016 | Volume: 7 | Issue: 43 | Pages: 69097-69110

10.18632/oncotarget.10215 | PMID 27533245 Get It

Patient-reported outcomes questionnaire compliance in Cancer Cooperative Group Trials (Alliance N0992)
Atherton, Pamela J, Burger, Kelli N. , Pederson, Levi , Kaggal, Suneetha, Sloan, Jeff A. , Atherton, Philip J. , Pederson, Levi D, Atherton, Pamela J, Atherton, Philip J.

Clinical Trials | June 30, 2016 | Volume: 13 | Issue: 6 | Pages: 612-620

10.1177/1740774516655101 | PMID 27365012 Get It

Background/Aims: The use of patient-reported outcomes in clinical trials is a focal point for research and policy. Non-compliance with planned questionnaires and missing data can threaten both internal validity and generalizability. This retrospective analysis was conducted to determine the extent of, and characteristics associated with, missing patient-reported outcomes. Methods: Study characteristics, patient characteristics and adverse events, and reasons for non-compliance were compiled from 14 closed Alliance for Clinical Trials in Oncology, Mayo Clinic Cancer Center, or Mayo Clinic Cancer Research Consortium clinical trials. Compliance rates were calculated for each patient using the number of booklets completed while the patient was on trial divided by the number of booklets the patient was expected to complete. Frequency counts and summary statistics were compiled. Logistic regression techniques were employed. Results: The 1640 included patients had a median age of 58 years and were mostly White (90.8%) and female (73.8%). Compliance rates per study ranged from 84.7% to 97.2%. The primary endpoint of overall compliance rate was 93.1%. A total of 1267 patients were compliant. Those non-compliant were slightly older (mean = 58.6 vs 57.5, p = 0.03) and had different types of cancers (p < 0.01). There were no differences in compliance according to tumor status (p = 0.66), clinical stage (p = 0.81), baseline quality of life (p = 0.42 for ≥8 vs <8 and p = 0.12 for ≥6 vs <6), or maximum adverse event grade incidence (p = 0.33 for grade 2+ incidence and p = 0.36 for grade 3+ incidence). Reasons for non-compliance included patient refusal (N = 136), booklet not administered to patient (N = 199), no clinic visit at the scheduled time for booklet completion (N = 40), and at-home-completed booklet not returned (N = 224). Logistic regression indicates gender (p < 0.01), race (p < 0.01), performance score (p = 0.02), dose delay status (p = 0.01), and incidence of grade 3 or higher adverse event (p = 0.03) were correlates of compliance. Conclusion: Patient-reported outcomes have successfully been implemented into Alliance and Mayo Clinic trials with high rates of patient compliance. Further improvement in compliance can be made with staff commitment and education. Patients are typically non-compliant only when the task at hand is burdensome, unclear, or logistically challenging. Existing tracking systems used for the other trial outcomes should be utilized to ensure successful capture of patient-reported outcomes.
The Effect of Hepatic Impairment on Outcomes in Phase I Clinical Trials in Cancer Subjects
Mansfield, Aaron S. , Vulih, Diana, Harris, Pamela Jo , Rudek, Michelle A. , Smith, Gary L. N. , Ivy, S. Percy , Mansfield, Aaron S

Clinical Cancer Research | May 17, 2016 | Volume: 22 | Issue: 22 | Pages: 5472-5479

10.1158/1078-0432.ccr-16-0449 | PMID 27189163 Get It

Abstract Purpose: The NCI Cancer Therapy Evaluation Program sponsors hepatic dysfunction phase I clinical trials (HDCT) and phase 1 clinical trials (P1CT) to determine safe doses and schedules of antineoplastic therapeutics. We sought to compare clinical outcomes between these trial types while stratifying by hepatotoxic agents. Experimental Design: Individual subject data were extracted from the records of 51 NCI-sponsored HDCT and P1CT. The NCI's Organ Dysfunction Working Group's hepatic impairment categorization and two drug-induced liver injury (DILI) scales (FDA R ratio and Hy's law) were used to classify subjects. The number of cycles administered and treatment discontinuation reason were also evaluated and compared between groups. Results: There were 513 and 1,328 subjects treated on HDCT (n = 9) and P1CT (n = 42), respectively. There were differing patterns of DILI with significant worsening of total bilirubin in subjects on HDCT, and worsening of alanine aminotransferase (ALT) in subjects on P1CT. Cholestatic peak patterns of liver impairment (predominant increases in alkaline phosphatase rather than transaminases) were more frequent in HDCT. Criteria for Hy's law were met by 11 subjects on P1CT, but not by any subjects on HDCT. Disease progression was the most common reason for treatment discontinuation, followed by adverse events at similar frequencies in both HDCT and P1CT. Conclusions: The differential effects on hepatotoxicity suggest that underlying hepatic function may affect susceptibility to and patterns of DILI. The incorporation of additional measures of hepatic function may help identify those at highest risk of hepatotoxicity in future trials because baseline liver tests did not. Clin Cancer Res; 22(22); 5472–9. ©2016 AACR.
Regulation of GLI Underlies a Role for BET Bromodomains in Pancreatic Cancer Growth and the Tumor Microenvironment
Huang, Yinshi, Nahar, Sabikun , Nakagawa, Akifumi, Fernández‐Barrena, Maite G. , Mertz, Jennifer A. , Bryant, Barbara M. , Adams, Curtis E., Alt, Kate N. Von, Chang, Kevin K. , Conery, Andrew R. , Hatton, Charlie , Sims, Robert J., Fernández-Zapico, Martín E. , Wang, Xingpeng , Lillemoe, Keith D. , Castillo, Carlos Fernández‐del , Warshaw, Andrew L. , Thayer, Sarah P. , Mino-Kenudson, Mari A. , Liss, Andrew S

Clinical Cancer Research | May 12, 2016 | Volume: 22 | Issue: 16 | Pages: 4259-4270

10.1158/1078-0432.ccr-15-2068 | PMID 27169995 Get It

Abstract Purpose: The initiation, progression, and maintenance of pancreatic ductal adenocarcinoma (PDAC) results from the interplay of genetic and epigenetic events. While the genetic alterations of PDAC have been well characterized, epigenetic pathways regulating PDAC remain, for the most part, elusive. The goal of this study was to identify novel epigenetic regulators contributing to the biology of PDAC. Experimental Design: In vivo pooled shRNA screens targeting 118 epigenetic proteins were performed in two orthotopic PDAC xenograft models. Candidate genes were characterized in 19 human PDAC cell lines, heterotopic xenograft tumor models, and a genetically engineered mouse (GEM) model of PDAC. Gene expression, IHC, and immunoprecipitation experiments were performed to analyze the pathways by which candidate genes contribute to PDAC. Results: In vivo shRNA screens identified BRD2 and BRD3, members of the BET family of chromatin adaptors, as key regulators of PDAC tumor growth. Pharmacologic inhibition of BET bromodomains enhanced survival in a PDAC GEM model and inhibited growth of human-derived xenograft tumors. BET proteins contribute to PDAC cell growth through direct interaction with members of the GLI family of transcription factors and modulating their activity. Within cancer cells, BET bromodomain inhibition results in downregulation of SHH, a key mediator of the tumor microenvironment and canonical activator of GLI. Consistent with this, inhibition of BET bromodomains decreases cancer-associated fibroblast content of tumors in both GEM and xenograft tumor models. Conclusions: Therapeutic inhibition of BET proteins offers a novel mechanism to target both the neoplastic and stromal components of PDAC. Clin Cancer Res; 22(16); 4259–70. ©2016 AACR.
Chronic Recreational Physical Inactivity and Epithelial Ovarian Cancer Risk: Evidence from the Ovarian Cancer Association Consortium
Cannioto, Rikki , LaMonte, Michael J. , Sucheston‐Campbell, Lara, Eng, Kevin H., Szender, J. Brian, Chang‐Claude, Jenny, Schmalfeldt, Barbara , Klapdor, R, Gower, Emily, Minlikeeva, Albina N. , Zirpoli, Gary , Edwards, Robert P., Goode, Ellen L. , Goodman, Marc T. , Høgdall, Estrid , Hosono, Satoyo , Jensen, Allan , Jordan, Susan J. , Group, on behalf of The Australian Ovarian Cancer Study, Matsuo, Keitaro , Ness, Roberta B., Olsen, Catherine M. , Olson, Sara H. , Pearce, Celeste Leigh , Pike, Malcolm C. , Rossing, Mary Anne, Szamreta, Elizabeth A. , Thompson, Pamela J., Tseng, Chiu-Chen , Vierkant, Robert A. , Webb, Penelope M. , Wentzensen, Nicolas , Wicklund, Kristine G. , Winham, Stacey J. , Wu, Anna H. , Schildkraut, Joellen M. , Terry, Kathryn L. , Kelemen, Linda E. , Moysich, Kirsten B. , Risch, Harvey A. , Hong, Chi‐Chen , Bandera, Elisa V. , Berchuck, Andrew , Cramer, Daniel W. , Doherty, Jennifer A. , Fridley, Brooke L. , Group, on behalf of The Australian Ovarian Cancer Study, Kjær, Susanne K. , Modugno, Francesmary , Winham, Stacey J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Moysich, Kirsten , Matsuo, Keitaro , Høgdall, Estrid , Zirpoli, Gary , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | May 7, 2016 | Volume: 25 | Issue: 7 | Pages: 1114-1124

10.1158/1055-9965.epi-15-1330 | PMID 27197285 Get It

Abstract Background: Despite a large body of literature evaluating the association between recreational physical activity and epithelial ovarian cancer (EOC) risk, the extant evidence is inconclusive, and little is known about the independent association between recreational physical inactivity and EOC risk. We conducted a pooled analysis of nine studies from the Ovarian Cancer Association Consortium to investigate the association between chronic recreational physical inactivity and EOC risk. Methods: In accordance with the 2008 Physical Activity Guidelines for Americans, women reporting no regular, weekly recreational physical activity were classified as inactive. Multivariable logistic regression was utilized to estimate the ORs and 95% confidence intervals (CI) for the association between inactivity and EOC risk overall and by subgroups based upon histotype, menopausal status, race, and body mass index. Results: The current analysis included data from 8,309 EOC patients and 12,612 controls. We observed a significant positive association between inactivity and EOC risk (OR = 1.34; 95% CI, 1.14–1.57), and similar associations were observed for each histotype. Conclusions: In this large pooled analysis examining the association between recreational physical inactivity and EOC risk, we observed consistent evidence of an association between chronic inactivity and all EOC histotypes. Impact: These data add to the growing body of evidence suggesting that inactivity is an independent risk factor for cancer. If the apparent association between inactivity and EOC risk is substantiated, additional work via targeted interventions should be pursued to characterize the dose of activity required to mitigate the risk of this highly fatal disease. Cancer Epidemiol Biomarkers Prev; 25(7); 1114–24. ©2016 AACR.
Reduced-intensity conditioning allogeneic hematopoietic-cell transplantation for older patients with acute myeloid leukemia
Gundabolu, Krishna , Vallabhajosyula, Saraschandra , Silberstein, Peter T., Goyal, Gaurav , Bhatt, Vijaya Raj , Vallabhajosyula, Saraschandra

Therapeutic Advances in Hematology | April 22, 2016 | Volume: 7 | Issue: 3 | Pages: 131-141

10.1177/2040620716643493 | PMID 27247754 Get It

Elderly patients (>60 years) with acute myeloid leukemia have a poor prognosis with a chemotherapy-alone approach. Allogeneic hematopoietic-cell transplantation (HCT) can improve overall survival (OS). However, myeloablative regimens can have unacceptably high transplant-related mortality (TRM) in an unselected group of older patients. Reduced-intensity conditioning (RIC) or nonmyeloablative (NMA) conditioning regimens preserve the graft- versus-leukemia effects but reduce TRM. NMA regimens result in minimal cytopenia and may not require stem cell support for restoring hematopoiesis. RIC regimens, intermediate in intensity between NMA and myeloablative regimens, can cause prolonged myelosuppresion and usually require stem cell support. A few retrospective and prospective studies suggest a possibility of lower risk of relapse with myeloablative HCT in fit older patients with lower HCT comorbidity index; however, RIC and NMA HCTs have an important role in less-fit patients and those with significant comorbidities because of lower TRM. Whether early tapering of immunosuppression, monitoring of minimal residual disease, and post-transplant maintenance therapy can improve the outcomes of RIC and NMA HCT in elderly patients will require prospective trials.
Saxagliptin and Tadalafil Differentially Alter Cyclic Guanosine Monophosphate (cGMP) Signaling and Left Ventricular Function in Aortic‐Banded Mini‐Swine
Hiemstra, Jessica A., Lee, Dong I. , Chakir, Khalid, Gutiérrez‐Aguilar, Manuel , Marshall, Kurt D., Zgoda, Pamela J., Rivera, Noelany Cruz, Dozier, Daniel G., Ferguson, Brian S. , Heublein, Denise M., Burnett, John C. , Scherf, Carolin, Ivey, Jan, Minervini, Gianmaria, McDonald, Kerry S. , Baines, Christopher , Krenz, Maike , Domeier, Timothy L. , Emter, Craig A.

Journal of the American Heart Association | April 21, 2016 | Volume: 5 | Issue: 4 | Pages: No page available

10.1161/jaha.116.003277 | PMID 27098966 Get It

Background Cyclic guanosine monophosphate‐protein kinase G‐phosphodiesterase 5 signaling may be disturbed in heart failure ( HF ) with preserved ejection fraction, contributing to cardiac remodeling and dysfunction. The purpose of this study was to manipulate cyclic guanosine monophosphate signaling using the dipeptidyl‐peptidase 4 inhibitor saxagliptin and phosphodiesterase 5 inhibitor tadalafil. We hypothesized that preservation of cyclic guanosine monophosphate cGMP signaling would attenuate pathological cardiac remodeling and improve left ventricular ( LV ) function. Methods and Results We assessed LV hypertrophy and function at the organ and cellular level in aortic‐banded pigs. Concentric hypertrophy was equal in all groups, but LV collagen deposition was increased in only HF animals. Prevention of fibrotic remodeling by saxagliptin and tadalafil was correlated with neuropeptide Y plasma levels. Saxagliptin better preserved integrated LV systolic and diastolic function by maintaining normal LV chamber volumes and contractility (end‐systolic pressure‐volume relationship, preload recruitable SW ) while preventing changes to early/late diastolic longitudinal strain rate. Function was similar to the HF group in tadalafil‐treated animals including increased LV contractility, reduced chamber volume, and decreased longitudinal, circumferential, and radial mechanics. Saxagliptin and tadalafil prevented a negative cardiomyocyte shortening‐frequency relationship observed in HF animals. Saxagliptin increased phosphodiesterase 5 activity while tadalafil increased cyclic guanosine monophosphate levels; however, neither drug increased downstream PKG activity. Early mitochondrial dysfunction, evident as decreased calcium‐retention capacity and Complex II ‐dependent respiratory control, was present in both HF and tadalafil‐treated animals. Conclusions Both saxagliptin and tadalafil prevented increased LV collagen deposition in a manner related to the attenuation of increased plasma neuropeptide Y levels. Saxagliptin appears superior for treating heart failure with preserved ejection fraction, considering its comprehensive effects on integrated LV systolic and diastolic function.
Assessment of Multifactor Gene–Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors
Usset, Joseph , McGuire, Valerie , Sieh, Weiva , Webb, Penelope M. , Chang‐Claude, Jenny, Brinton, Louise A. , Cunningham, Julie M. , DeFazio, Anna , Edwards, Robert P., Gayther, Simon A. , Goodman, Marc T. , Høgdall, Estrid , Jensen, Allan , Johnatty, Sharon E., Lurie, Galina, Massuger, Leon F.A.G. , Menon, Usha , Moysich, Kirsten B. , Ness, Roberta B., Pike, Malcolm C. , Ramus, Susan J. , Rossing, Mary Anne, Rothstein, Joseph H. , Song, Honglin , Thompson, Pamela J., Berg, David J. Van Den, Vierkant, Robert A. , Wang‐Gohrke, Shan , Wentzensen, Nicolas , Whittemore, Alice S. , Wu, Anna H. , Pearce, Celeste Leigh, Schildkraut, Joellen M. , Goode, Ellen L. , Fazio, Anna de , Raghavan, Rama , Tyrer, Jonathan P. , Rudolph, Anja , Anton‐Culver, Hoda , Berchuck, Andrew , Doherty, Jennifer A. , Gentry‐Maharaj, Aleksandra , Kiemeney, Lambertus A. , Kjær, Susanne K. , Larson, Melissa C. , Modugno, Francesmary , Wilkens, Lynne R. , Yang, Hannah , Pharoah, Paul D.P. , Fridley, Brooke L. , Ramus, Susan J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Menon, Usha , Moysich, Kirsten , Sieh, Weiva , Høgdall, Estrid , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | March 14, 2016 | Volume: 25 | Issue: 5 | Pages: 780-790

10.1158/1055-9965.epi-15-1039 | PMID 26976855 Get It

Abstract Background: Many epithelial ovarian cancer (EOC) risk factors relate to hormone exposure and elevated estrogen levels are associated with obesity in postmenopausal women. Therefore, we hypothesized that gene–environment interactions related to hormone-related risk factors could differ between obese and non-obese women. Methods: We considered interactions between 11,441 SNPs within 80 candidate genes related to hormone biosynthesis and metabolism and insulin-like growth factors with six hormone-related factors (oral contraceptive use, parity, endometriosis, tubal ligation, hormone replacement therapy, and estrogen use) and assessed whether these interactions differed between obese and non-obese women. Interactions were assessed using logistic regression models and data from 14 case–control studies (6,247 cases; 10,379 controls). Histotype-specific analyses were also completed. Results: SNPs in the following candidate genes showed notable interaction: IGF1R (rs41497346, estrogen plus progesterone hormone therapy, histology = all, P = 4.9 × 10−6) and ESR1 (rs12661437, endometriosis, histology = all, P = 1.5 × 10−5). The most notable obesity–gene–hormone risk factor interaction was within INSR (rs113759408, parity, histology = endometrioid, P = 8.8 × 10−6). Conclusions: We have demonstrated the feasibility of assessing multifactor interactions in large genetic epidemiology studies. Follow-up studies are necessary to assess the robustness of our findings for ESR1, CYP11A1, IGF1R, CYP11B1, INSR, and IGFBP2. Future work is needed to develop powerful statistical methods able to detect these complex interactions. Impact: Assessment of multifactor interaction is feasible, and, here, suggests that the relationship between genetic variants within candidate genes and hormone-related risk factors may vary EOC susceptibility. Cancer Epidemiol Biomarkers Prev; 25(5); 780–90. ©2016 AACR.