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711 citation(s) found for "Yu, Alice".

Phase I Pharmacokinetic and Pharmacodynamic Study of Pazopanib in Children With Soft Tissue Sarcoma and Other Refractory Solid Tumors: A Children's Oncology Group Phase I Consortium Report
Bender, Julia Glade , Baruchel, Sylvain , Roberts, Timothy P. L. , Voss, Stephan D. , Wu, Bing , Ahern, Charlotte H., Ingle, Ashish M., Harris, Pamela Jo , Weigel, Brenda J. , Blaney, Susan M. , Lee, Alice , Reid, Joel M. , Glade-Bender, Julia

Journal of Clinical Oncology | July 15, 2013 | Volume: 31 | Issue: 24 | Pages: 3034-3043

10.1200/jco.2012.47.0914 | PMID 23857966 Get It

Purpose Pazopanib, an oral multikinase angiogenesis inhibitor, prolongs progression-free survival in adults with soft tissue sarcoma (STS). A phase I pharmacokinetic and pharmacodynamic study of two formulations of pazopanib was performed in children with STS or other refractory solid tumors. Patients and Methods Pazopanib (tablet formulation) was administered once daily in 28-day cycles at four dose levels (275 to 600 mg/m 2 ) using the rolling-six design. Dose determination for a powder suspension was initiated at 50% of the maximum-tolerated dose (MTD) for the intact tablet. Ten patients with STS underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) scanning at baseline and 15 ± 2 days after initiation of pazopanib at the tablet MTD. Results Fifty-three patients were enrolled; 51 were eligible (26 males; median age, 12.9 years; range, 3.8 to 23.9 years). Hematologic and nonhematologic toxicities were generally mild, with dose-limiting lipase, amylase, and ALT elevation, proteinuria, and hypertension. One patient with occult brain metastasis had grade 4 intracranial hemorrhage. The MTD was 450 mg/m 2 for tablet and 160 mg/m 2 for suspension. Steady-state trough concentrations were reached by day 15 and did not seem to be dose dependent. One patient each with hepatoblastoma or desmoplastic small round cell tumor achieved a partial response; eight patients had stable disease for ≥ six cycles, seven of whom had sarcoma. All patients with evaluable DCE-MRI (n = 8) experienced decreases in tumor blood volume and permeability (P < .01). Placental growth factor increased, whereas endoglin and soluble vascular endothelial growth factor receptor-2 decreased (P < .01; n = 41). Conclusion Pazopanib is well tolerated in children, with evidence of antiangiogenic effect and potential clinical benefit in pediatric sarcoma.
Management of Patients Undergoing Percutaneous Coronary Revascularization
Levine, Glenn N. , Berger, Peter B. , Brown, David , Klein, Lloyd W. , Kereiakes, Dean J. , Sanborn, Timothy A., Jacobs, Alice K. , Kern, Morton J.

Annals of Internal Medicine | April 12, 2013 | Volume: 139 | Issue: 2 | Pages: 123-136

10.7326/0003-4819-139-2-200307150-00012 | PMID 12859162 Get It

e-Professionalism: A New Frontier in Medical Education
Kaczmarczyk, J, Chuang, Alice, Dugoff, Lorraine , Abbott, Jodi , Cullimore, Amie J., Dalrymple, John L. , Davis, Katrina, Hueppchen, Nancy A. , Katz, Nadine T. , Nuthalapaty, Francis S., Pradhan, Archana , Wolf, Abigail , Casey, Petra M.

Teaching and Learning in Medicine | March 26, 2013 | Volume: 25 | Issue: 2 | Pages: 165-170

10.1080/10401334.2013.770741 | PMID 23530680 Get It

Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome
White, Kristin L., Vierkant, Robert A. , Fogarty, Zachary C. , Charbonneau, Bridget, Block, Matthew S. , Chenevix‐Trench, Georgia , group;, for AOCS/ACS, Rossing, Mary Anne, Pearce, Celeste Leigh, Schildkraut, Joellen M. , Menon, Usha , Kjær, Susanne K. , Levine, Douglas A. , Culver, Hoda Anton, Whittemore, Alice S. , Lambrechts, Diether , Wentzensen, Nicolas , Kupryjańczyk, Jolanta , Chang‐Claude, Jenny , Bandera, Elisa V. , Høgdall, Estrid , Heitz, Florian , Kaye, Stanley B., Fasching, Peter A. , Campbell, Ian , Goodman, Marc T. , Bean, Yukie T., Lurie, Galina, Eccles, Diana , Hein, Alexander , Beckmann, Matthias W. , Ekici, Arif B. , Brown, Robert , Flanagan, James M. , Harter, Philipp , Schwaab, Ira, Høgdall, Claus , Lundvall, Lene, Olson, Sara H. , Orlow, Irene , Paddock, Lisa E. , Rudolph, Anja , Eilber, Ursula, Dansonka‐Mieszkowska, Agnieszka , Rzepecka, Iwona K. , Ziółkowska-Seta, Izabela, Brinton, Louise A. , García‐Closas, Montserrat , Despierre, Evelyn, Lambrechts, Sandrina, Vergote, Ignace , Walsh, Christine , Lester, Jenny, Sieh, Weiva , McGuire, Valerie , Rothstein, Joseph H. , Lubiński, Jan , Menkiszak, Janusz , Jensen, Allan , Gayther, Simon A. , Ramus, Susan J. , Wu, Anna H. , Pike, Malcolm C. , DenBerg, David Van, Terry, Kathryn L. , Vitonis, Allison F., Johnatty, Sharon E., DeFazio, Anna , Song, Honglin , Sellers, Thomas A. , Phelan, Catherine M., Kalli, Kimberly R., Cunningham, Julie M. , Goode, Ellen L. , Lambrechts, Diether , Pharoah, Paul D.P. , group;, for AOCS/ACS, Cramer, Daniel W. , Gronwald, Jacek , Karlan, Beth Y. , Pejovic, Tanja B. , Paul, James , Bois, Andreas du , Yang, Hannah , Ziogas, Argyrios , Cybulski, Cezary , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Tyrer, Jonathan P. , Fridley, Brooke L. , Fazio, Anna de , Rudolph, Anja , Lambrechts, Diether , Kjaer, Susanne K , Ramus, Susan J , Hein, Alexander , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Orlow, Irene , Campbell, Ian G , Menkiszak, Janusz , Brown, Robert , Fogarty, Zachary C , Flanagan, James M , Heitz, Florian , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , García-Closas, Montserrat , Ekici, Arif B , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T , Bandera, Elisa V.

Cancer Epidemiology, Biomarkers & Prevention | March 19, 2013 | Volume: 22 | Issue: 5 | Pages: 987-992

10.1158/1055-9965.epi-13-0028 | PMID 23513043 Get It

Abstract Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.
Combined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer
Pearce, Celeste Leigh, Rossing, Mary Anne, Lee, Alice W. , Ness, Roberta B., Webb, Penelope M. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Chenevix‐Trench, Georgia , Jordan, Susan M., Stram, Douglas, Chang‐Claude, Jenny, Hein, Rebecca, Nickels, Stefan , Lurie, Galina, Thompson, Pamela J., Carney, Michael E., Goodman, Marc T. , Moysich, Kirsten B., Høgdall, Estrid , Jensen, Allan , Goode, Ellen L. , Cunningham, Julie M. , Vierkant, Robert A. , Gayther, Simon A. , Menon, Usha , Ramus, Susan J. , Brinton, Louise A. , Wentzensen, Nicolas , Lissowska, Jolanta , García‐Closas, Montserrat , Massuger, Leon F.A.G. , Kiemeney, Lambertus A. , Altena, Anne M. van , Aben, Katja K.H. , Iversen, Edwin S., McGuire, Valerie, Moorman, Patricia G. , Pike, Malcolm C. , Sieh, Weiva , Terry, Kathryn L. , Whittemore, Alice S. , Wu, Anna H. , Schildkraut, Joellen M. , Kjær, Susanne K. , Jordan, Susan J. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Jordan, Susan M., Fridley, Brooke L. , Weber, Rachel Palmieri , Ziogas, Argyrios , Anton‐Culver, Hoda , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Pharoah, Paul D.P. , Risch, Harvey A. , Stram, Daniel O. , Kiemeney, Lambertus A , Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Menon, Usha , Moysich, Kirsten , Lissowska, Jolanta , Sieh, Weiva , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | March 6, 2013 | Volume: 22 | Issue: 5 | Pages: 880-890

10.1158/1055-9965.epi-12-1030-t | PMID 23462924 Get It

Abstract Background: There are several well-established environmental risk factors for ovarian cancer, and recent genome-wide association studies have also identified six variants that influence disease risk. However, the interplay between such risk factors and susceptibility loci has not been studied. Methods: Data from 14 ovarian cancer case–control studies were pooled, and stratified analyses by each environmental risk factor with tests for heterogeneity were conducted to determine the presence of interactions for all histologic subtypes. A genetic “risk score” was created to consider the effects of all six variants simultaneously. A multivariate model was fit to examine the association between all environmental risk factors and genetic risk score on ovarian cancer risk. Results: Among 7,374 controls and 5,566 cases, there was no statistical evidence of interaction between the six SNPs or genetic risk score and the environmental risk factors on ovarian cancer risk. In a main effects model, women in the highest genetic risk score quartile had a 65% increased risk of ovarian cancer compared with women in the lowest [95% confidence interval (CI), 1.48–1.84]. Analyses by histologic subtype yielded risk differences across subtype for endometriosis (Phet &lt; 0.001), parity (Phet &lt; 0.01), and tubal ligation (Phet = 0.041). Conclusions: The lack of interactions suggests that a multiplicative model is the best fit for these data. Under such a model, we provide a robust estimate of the effect of each risk factor that sets the stage for absolute risk prediction modeling that considers both environmental and genetic risk factors. Further research into the observed differences in risk across histologic subtype is warranted. Cancer Epidemiol Biomarkers Prev; 22(5); 880–90. ©2013 AACR.
Genome-wide scan of healthy human connectome discovers SPON1 gene variant influencing dementia severity
Jahanshad, Neda , Rajagopalan, Priya , Hua, Xue , Hibar, Derrek P., Nir, Talia M. , Toga, Arthur W. , Jack, Clifford R., Saykin, Andrew J. , Weiner, Michael W. , Medland, Sarah E. , Montgomery, Grant W. , Hansell, Narelle K. , McMahon, Katie L. , Zubicaray, Greig I. de , Martin, Nicholas G. , Wright, Margaret J. , Thompson, Paul M. , Initiative, the Alzheimer’s Disease Neuroimaging, Aisen, Paul, Petersen, Ronald, Jagust, William J. , Trojanowski, John Q. , Toga, Arthur W., Green, Robert C., Liu, Enchi , Green, Robert C., Montine, Tom, Gamst, Anthony, Thomas, Ronald G. , Donohue, Michael, Walter, Sarah , Gessert, Devon, Sather, Tamie, Harvey, Danielle, Donohue, Michael, Kornak, John , Jack, Clifford R., Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene, DeCarli, Charles , Bandy, Dan, Foster, Norm, Reiman, Eric M. , Mathis, Chet, Cairns, Nigel J. , Taylor‐Reinwald, Lisa, Trojanowki, John Q., Shaw, Les, Korecka, Magdalena , Toga, Arthur W., Crawford, Karen , Neu, Scott, Khachaturian, Zaven S., Frank, R.T., Molchan, Susan, Quinn, Joseph, Lind, Betty, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Johnson, Kris , Doody, Rachelle S., Chowdhury, Munir , Bell, Karen L. , Carroll, Maria , Leon, Sue, Mintun, Mark A., Schneider, Stacy, Marson, Daniel , Griffith, Randall, Clark, David, Grossman, Hillel, Mitsis, Effie, Romirowsky, Aliza, deToledo‐Morrell, Leyla, Duara, Ranjan , Varon, Daniel, Roberts, Peggy, Albert, Marilyn, Onyike, Chiadi, Kielb, Stephanie , Glodzik, Lidia , Santi, Susan De , Doraiswamy, P. Murali , Petrella, Jeffrey R. , Coleman, Robert E. , Arnold, Steven E. , Karlawish, Jason H., Smith, Charles D., Jicha, Gregory A. , Hardy, Peter , Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Goldstein, Bonnie S., Martin, Kim, Makino, Kelly M., Ismail, M. Saleem , Brand, Connie, Mulnard, Ruth A., Thai, Gaby , Mc-Adams-Ortiz, Catherine, Mathews, Dana, Quiceno, Mary , King, Richard, Martin-Cook, Kristen, Devous, Michael D. , Cellar, Janet S., Anderson, Heather S., Swerdlow, Russell H. , Apostolova, Liana , Lu, Po H. , Bartzokis, George, Graff‐Radford, Neill R. , Parfitt, Francine, Farlow, Martin R. , Hake, Ann Marie , Matthews, Brandy R., Herring, Scott, Dyck, Christopher H. van , Carson, Richard E. , MacAvoy, Martha G., Chertkow, Howard , Bergman, Howard , Hosein, Chris, Caldwell, Curtis, Hsiung, Ging‐Yuek Robin , Feldman, Howard J., Mudge, Benita, Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Mesulam, Marek-Marsel, Lipowski, Kristina, Wu, Chuang‐Kuo, Johnson, Nancy E., Sadowsky, Carl, Villena, Teresa, Johnson, Kathleen, Reynolds, Brigid, Marshall, Gad A. , Frey, Meghan , Yesavage, Jerome A. , Taylor, Joy L. , Lane, Barton , Rosen, Allyson , Tinklenberg, Jared, Sabbagh, Marwan, Belden, Christine M. , Jacobson, Sandra A. , Kowall, Neil W. , Budson, Andrew E. , Johnson, Patricia Lynn, Wolday, Saba, Bwayo, Salome K., Lerner, Alan J. , Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Olichney, John , Kittur, Smita, Borrie, Michael, Lee, T.-Y., Bartha, Robert , Asthana, Sanjay , Carlsson, Cynthia M., Preda, Adrian , Tariot, Pierre N. , Fleisher, Adam , Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Kataki, Maria , Zimmerman, Earl A. , Celmins, Dzintra, Brown, Alice D., Blank, Karen, Anderson, Karen, Santulli, Robert B. , Schwartz, Eben S., Williamson, Jeff D. , Garg, Pradeep , Watkins, Franklin, Ott, Brian R. , Querfurth, Henry, Tremont, Geoffrey , Salloway, Stephen , Malloy, Paul, Correia, Stephen , Rosen, Howard J., Mintzer, Jacobo , Longmire, Crystal Flynn, Spicer, Kenneth, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Lee, Ting‐Yim , Jack, Clifford R., Green, Robert C. , Initiative, the Alzheimer’s Disease Neuroimaging, Jack, Clifford R. , Toga, Arthur W., Beckett, Laurel , Green, Robert C., Morris, John C. , Green, Robert C., Donohue, Michael, Sather, Tamie, Donohue, Michael, Jack, Clifford R., Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Koeppe, Robert A. , Chen, Kewei , Mathis, Chet, Lee, Virginia M.‐Y. , Toga, Arthur W., Foroud, Tatiana , Potkin, Steven G. , Shen, Li , Snyder, Peter J. , Kaye, Jeffrey , Lord, Joanne L. , Villanueva-Meyer, Javier E. , Stern, Yaakov , Honig, Lawrence S. , Ances, Beau M. , Grossman, Hillel, Shah, Raj C. , Duara, Ranjan , Varón, Daniel , Rusinek, Henry , Leon, Mony J. de , Karlawish, Jason , Wolk, David A. , Porsteinsson, Anton P. , Womack, Kyle , Diaz‐Arrastia, Ramon , Weiner, Myron , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather M. , Black, Sandra E. , Stefanovic, Bojana , Kertesz, Andrew, Kerwin, Diana , Martínez, Walter Fabián , Turner, Raymond Scott , Sperling, Reisa Anne , Johnson, Keith A. , Killiany, Ronald , Norbash, Alexander , Obisesan, Thomas O. , Carmichael, Owen , Johnson, Sterling C. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Pearlson, Godfrey D. , Sink, Kaycee M. , Miller, Bruce L. , Finger, Elizabeth C. , Kertesz, Andrew, de Zubicaray, Greig I , Hansell, Narelle K , Saykin, Andrew J , Preda, Adrian , Martin, Nicholas G , Toga, Arthur W , Wright, Margaret J , Thompson, Paul M , Medland, Sarah E , Hsiung, Gink-Yuek , Jicha, Gregory A

Proceedings of the National Academy of Sciences | March 5, 2013 | Volume: 110 | Issue: 12 | Pages: 4768-4773

10.1073/pnas.1216206110 | PMID 23471985 Get It

Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer’s disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, high-angular resolution diffusion MRI. We adapted GWASs to screen the brain’s connectivity pattern, allowing us to discover genetic variants that affect the human brain’s wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer’s disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism ( MACROD2 ), development ( NEDD4 ), and mental retardation ( UBE2A ) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
Staged Versus One-time Complete Revascularization With Percutaneous Coronary Intervention for Multivessel Coronary Artery Disease Patients Without ST-Elevation Myocardial Infarction
Samadashvili, Zaza, Walford, Gary, Jacobs, Alice K. , Stamato, Nicholas J., Venditti, Ferdinand J. , Holmes, David R. , Sharma, Samin K. , King, Spencer B., Hannan, Edward L.

Circulation: Cardiovascular Interventions | January 16, 2013 | Volume: 6 | Issue: 1 | Pages: 12-20

10.1161/circinterventions.112.974485 | PMID 23322743 Get It

Background— There are evidence-based guidelines for staging of patients with ST-elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI), but we are not aware of any evidence comparing the strategy of complete revascularization (CR) with PCI in the index admission versus the strategy of staging in a subsequent admission for patients with coronary artery disease without STEMI. Methods and Results— PCI patients without STEMI undergoing PCI in New York between 2007 and 2009 were separated into 2 groups: those with acute coronary syndrome but no STEMI, and those without acute coronary syndrome. For each group, patients who underwent CR in the index admission were then propensity matched to patients staged within 60 days to obtain CR based on 17 patient risk factors related to longer-term mortality, and 3-year mortality rates were compared for the propensity-matched groups. Outcomes were also compared for preselected subgroups. For propensity-matched patients without acute coronary syndrome, the all-cause mortality rates at 3 years for patients who underwent CR in the index hospitalization and patients staged for CR within 60 days of discharge were 5.62% and 5.97%, P =0.93, respectively. For propensity-matched patients with acute coronary syndrome but without STEMI, the all-cause mortality rates at 3 years for patients who underwent CR in the index hospitalization and patients staged for CR within 60 days of discharge were 6.59% and 5.92%, P =0.41, respectively. Conclusions— Patients with coronary artery disease without STEMI do not have significantly lower 3-year mortality rates with staged PCI than when they undergo CR in the index admission.
Mapping of the IRF8 Gene Identifies a 3′UTR Variant Associated with Risk of Chronic Lymphocytic Leukemia but not Other Common Non-Hodgkin Lymphoma Subtypes
Achenbach, Sara J., Asmann, Yan W. , Camp, Nicola J. , Rabe, Kari G. , Goldin, Lynn R. , Call, Timothy G. , Cunningham, Julie M. , Wang, Alice H., Weinberg, J. Brice , Norman, Aaron D. , Link, Brian K. , Leis, José F., Vachon, Celine M. , Lanasa, Mark C., Caporaso, Neil E., Novak, Anne J. , Cerhan, James R. , Slager, Susan L. , Shanafelt, Tait D. , Kay, Neil E. , Vachon, Celine M. , Chaffee, Kari G. , Cerhan, James R , Link, Brian K , Norman, Aaron D

Cancer Epidemiology, Biomarkers & Prevention | January 11, 2013 | Volume: 22 | Issue: 3 | Pages: 461-466

10.1158/1055-9965.epi-12-1217 | PMID 23307532 Get It

Abstract Background: Our genome-wide association study (GWAS) of chronic lymphocytic leukemia (CLL) identified 4 highly correlated intronic variants within the IRF8 gene that were associated with CLL. These results were further supported by a recent meta-analysis of our GWAS with two other GWAS of CLL, supporting the IRF8 gene as a strong candidate for CLL risk. Methods: To refine the genetic association of CLL risk, we conducted Sanger sequencing of IRF8 in 94 CLL cases and 96 controls. We then conducted fine mapping by genotyping 39 variants (of which 10 were identified from sequencing) in 745 CLL cases and 1,521 controls. We also assessed these associations with risk of other non-Hodgkin lymphoma (NHL) subtypes. Results: The strongest association with CLL risk was observed with a common single-nucleotide polymorphism (SNP) located within the 3′ untranslated region (UTR) of IRF8 (rs1044873, log additive OR = 0.7, P = 1.81 × 10−6). This SNP was not associated with the other NHL subtypes (all P &gt; 0.05). Conclusions: We provide evidence that rs1044873 in the IRF8 gene accounts for the initial GWAS signal for CLL risk. This association appears to be unique to CLL with little support for association with other common NHL subtypes. Future work is needed to assess functional role of IRF8 in CLL etiology. Impact: These data provide support that a functional variant within the 3′UTR of IRF8 may be driving the GWAS signal seen on 16q24.1 for CLL risk. Cancer Epidemiol Biomarkers Prev; 22(3); 461–6. ©2013 AACR.
PRRC2A and BCL2L11 gene variants influence risk of non-Hodgkin lymphoma: results from the InterLymph consortium
Nieters, Alexandra, Conde, Lucía , Morton, Lindsay M. , Skibola, Danica R., Novak, Anne J. , Riby, Jacques, Ansell, Stephen M. , Halperin, Eran , Agana, Luz, Wang, Alice H., Roos, Anneclaire J. De , Severson, Richard K., Spinelli, John, Butterbach, Katja, Becker, Nikolaus, Sanjosé, Sílvia de , Benavente, Yolanda , Cocco, Pierluigi , Staines, Anthony , Foretová, Lenka , Brennan, Paul , Lan, Qing , Zheng, Tongzhang, Purdue, Mark P. , Armstrong, Bruce K. , Kricker, Anne , Vajdic, Claire M. , Grulich, Andrew E. , Smith, Martyn T. , Bracci, Paige M. , Hartge, Patricia, Cerhan, James R. , Wang, Sophia , Rothman, Nathaniel , Skibola, Christine F., Slager, Susan L. , Brooks‐Wilson, Angela , Shanafelt, Tait D. , Cozen, Wendy , Maynadié, Marc , Boffetta, Paolo , Zhang, Yawei , Chanock, Stephen Jacob , Cerhan, James R , Cocco, Pierluigi , Vajdic, Claire M , Morton, Lindsay M , De Roos, Anneclaire J , Wang, Sophia S

Blood | October 10, 2012 | Volume: 120 | Issue: 23 | Pages: 4645-4648

10.1182/blood-2012-05-427989 | PMID 23047821 Get It

AbstractMany common genetic variants have been associated with non-Hodgkin lymphoma (NHL), but individual study results are often conflicting. To confirm the role of putative risk alleles in B-cell NHL etiology, we performed a validation genotyping study of 67 candidate single nucleotide polymorphisms within InterLymph, a large international consortium of NHL case-control studies. A meta-analysis was performed on data from 5633 B-cell NHL cases and 7034 controls from 8 InterLymph studies. rs3789068 in the proapoptotic BCL2L11 gene was associated with an increased risk for B-cell NHL (odds ratio = 1.21, P random = 2.21 × 10−11), with similar risk estimates for common B-cell subtypes. PRRC2A rs3132453 in the HLA complex class III region conferred a reduced risk of B-cell NHL (odds ratio = 0.68, P random = 1.07 × 10−9) and was likewise evident for common B-cell subtypes. These results are consistent with the known biology of NHL and provide insights into shared pathogenic components, including apoptosis and immune regulation, for the major B-cell lymphoma subtypes.
A Two-Stage Evaluation of Genetic Variation in Immune and Inflammation Genes with Risk of Non-Hodgkin Lymphoma Identifies New Susceptibility Locus in 6p21.3 Region
Cerhan, James R. , Fredericksen, Zachary S., Novak, Anne J. , Ansell, Stephen M. , Liebow, Mark , Cunningham, Julie M. , Wang, Alice H., Asmann, Yan W. , Kay, Neil E. , Doǧan, Ahmet , Witzig, Thomas E. , Habermann, Thomas M. , Slager, Susan L. , Cerhan, James R

Cancer Epidemiology, Biomarkers & Prevention | October 8, 2012 | Volume: 21 | Issue: 10 | Pages: 1799-1806

10.1158/1055-9965.epi-12-0696 | PMID 22911334 Get It

Abstract Background: Non-Hodgkin lymphoma (NHL) is a malignancy of lymphocytes, and there is growing evidence for a role of germline genetic variation in immune genes in NHL etiology. Methods: To identify susceptibility immune genes, we conducted a 2-stage analysis of single-nucleotide polymorphisms (SNP) from 1,253 genes using the Immune and Inflammation Panel. In Stage 1, we genotyped 7,670 SNPs in 425 NHL cases and 465 controls, and in Stage 2 we genotyped the top 768 SNPs on an additional 584 cases and 768 controls. The association of individual SNPs with NHL risk from a log-additive model was assessed using the OR and 95% confidence intervals (CI). Results: In the pooled analysis, only the TAP2 coding SNP rs241447 (minor allele frequency = 0.26; Thr655Ala) at 6p21.3 (OR = 1.34, 95% CI 1.17–1.53) achieved statistical significance after accounting for multiple testing (P = 3.1 × 10−5). The TAP2 SNP was strongly associated with follicular lymphoma (FL, OR = 1.82, 95%CI 1.46–2.26; p = 6.9 × 10−8), and was independent of other known loci (rs10484561 and rs2647012) from this region. The TAP2 SNP was also associated with diffuse large B-cell lymphoma (DLBCL, OR = 1.38, 95% CI 1.08–1.77; P = 0.011), but not chronic lymphocytic leukemia (OR = 1.08; 95% CI 0.88–1.32). Higher TAP2 expression was associated with the risk allele in both FL and DLBCL tumors. Conclusion: Genetic variation in TAP2 was associated with NHL risk overall, and FL risk in particular, and this was independent of other established loci from 6p21.3. Impact: Genetic variation in antigen presentation of HLA class I molecules may play a role in lymphomagenesis. Cancer Epidemiol Biomarkers Prev; 21(10); 1799–806. ©2012 AACR.