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1.  Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk 
Couch, Fergus J. | Wang, Xianshu | McGuffog, Lesley | Lee, Andrew | Olswold, Curtis | Kuchenbaecker, Karoline B. | Soucy, Penny | Fredericksen, Zachary | Barrowdale, Daniel | Dennis, Joe | Gaudet, Mia M. | Dicks, Ed | Kosel, Matthew | Healey, Sue | Sinilnikova, Olga M. | Lee, Adam | Bacot, François | Vincent, Daniel | Hogervorst, Frans B. L. | Peock, Susan | Stoppa-Lyonnet, Dominique | Jakubowska, Anna | Investigators, kConFab | Radice, Paolo | Schmutzler, Rita Katharina | Domchek, Susan M. | Piedmonte, Marion | Singer, Christian F. | Friedman, Eitan | Thomassen, Mads | Hansen, Thomas V. O. | Neuhausen, Susan L. | Szabo, Csilla I. | Blanco, Ignacio | Greene, Mark H. | Karlan, Beth Y. | Garber, Judy | Phelan, Catherine M. | Weitzel, Jeffrey N. | Montagna, Marco | Olah, Edith | Andrulis, Irene L. | Godwin, Andrew K. | Yannoukakos, Drakoulis | Goldgar, David E. | Caldes, Trinidad | Nevanlinna, Heli | Osorio, Ana | Terry, Mary Beth | Daly, Mary B. | van Rensburg, Elizabeth J. | Hamann, Ute | Ramus, Susan J. | Ewart Toland, Amanda | Caligo, Maria A. | Olopade, Olufunmilayo I. | Tung, Nadine | Claes, Kathleen | Beattie, Mary S. | Southey, Melissa C. | Imyanitov, Evgeny N. | Tischkowitz, Marc | Janavicius, Ramunas | John, Esther M. | Kwong, Ava | Diez, Orland | Balmaña, Judith | Barkardottir, Rosa B. | Arun, Banu K. | Rennert, Gad | Teo, Soo-Hwang | Ganz, Patricia A. | Campbell, Ian | van der Hout, Annemarie H. | van Deurzen, Carolien H. M. | Seynaeve, Caroline | Gómez Garcia, Encarna B. | van Leeuwen, Flora E. | Meijers-Heijboer, Hanne E. J. | Gille, Johannes J. P. | Ausems, Margreet G. E. M. | Blok, Marinus J. | Ligtenberg, Marjolijn J. L. | Rookus, Matti A. | Devilee, Peter | Verhoef, Senno | van Os, Theo A. M. | Wijnen, Juul T. | Frost, Debra | Ellis, Steve | Fineberg, Elena | Platte, Radka | Evans, D. Gareth | Izatt, Louise | Eeles, Rosalind A. | Adlard, Julian | Eccles, Diana M. | Cook, Jackie | Brewer, Carole | Douglas, Fiona | Hodgson, Shirley | Morrison, Patrick J. | Side, Lucy E. | Donaldson, Alan | Houghton, Catherine | Rogers, Mark T. | Dorkins, Huw | Eason, Jacqueline | Gregory, Helen | McCann, Emma | Murray, Alex | Calender, Alain | Hardouin, Agnès | Berthet, Pascaline | Delnatte, Capucine | Nogues, Catherine | Lasset, Christine | Houdayer, Claude | Leroux, Dominique | Rouleau, Etienne | Prieur, Fabienne | Damiola, Francesca | Sobol, Hagay | Coupier, Isabelle | Venat-Bouvet, Laurence | Castera, Laurent | Gauthier-Villars, Marion | Léoné, Mélanie | Pujol, Pascal | Mazoyer, Sylvie | Bignon, Yves-Jean | Złowocka-Perłowska, Elżbieta | Gronwald, Jacek | Lubinski, Jan | Durda, Katarzyna | Jaworska, Katarzyna | Huzarski, Tomasz | Spurdle, Amanda B. | Viel, Alessandra | Peissel, Bernard | Bonanni, Bernardo | Melloni, Giulia | Ottini, Laura | Papi, Laura | Varesco, Liliana | Tibiletti, Maria Grazia | Peterlongo, Paolo | Volorio, Sara | Manoukian, Siranoush | Pensotti, Valeria | Arnold, Norbert | Engel, Christoph | Deissler, Helmut | Gadzicki, Dorothea | Gehrig, Andrea | Kast, Karin | Rhiem, Kerstin | Meindl, Alfons | Niederacher, Dieter | Ditsch, Nina | Plendl, Hansjoerg | Preisler-Adams, Sabine | Engert, Stefanie | Sutter, Christian | Varon-Mateeva, Raymonda | Wappenschmidt, Barbara | Weber, Bernhard H. F. | Arver, Brita | Stenmark-Askmalm, Marie | Loman, Niklas | Rosenquist, Richard | Einbeigi, Zakaria | Nathanson, Katherine L. | Rebbeck, Timothy R. | Blank, Stephanie V. | Cohn, David E. | Rodriguez, Gustavo C. | Small, Laurie | Friedlander, Michael | Bae-Jump, Victoria L. | Fink-Retter, Anneliese | Rappaport, Christine | Gschwantler-Kaulich, Daphne | Pfeiler, Georg | Tea, Muy-Kheng | Lindor, Noralane M. | Kaufman, Bella | Shimon Paluch, Shani | Laitman, Yael | Skytte, Anne-Bine | Gerdes, Anne-Marie | Pedersen, Inge Sokilde | Moeller, Sanne Traasdahl | Kruse, Torben A. | Jensen, Uffe Birk | Vijai, Joseph | Sarrel, Kara | Robson, Mark | Kauff, Noah | Mulligan, Anna Marie | Glendon, Gord | Ozcelik, Hilmi | Ejlertsen, Bent | Nielsen, Finn C. | Jønson, Lars | Andersen, Mette K. | Ding, Yuan Chun | Steele, Linda | Foretova, Lenka | Teulé, Alex | Lazaro, Conxi | Brunet, Joan | Pujana, Miquel Angel | Mai, Phuong L. | Loud, Jennifer T. | Walsh, Christine | Lester, Jenny | Orsulic, Sandra | Narod, Steven A. | Herzog, Josef | Sand, Sharon R. | Tognazzo, Silvia | Agata, Simona | Vaszko, Tibor | Weaver, Joellen | Stavropoulou, Alexandra V. | Buys, Saundra S. | Romero, Atocha | de la Hoya, Miguel | Aittomäki, Kristiina | Muranen, Taru A. | Duran, Mercedes | Chung, Wendy K. | Lasa, Adriana | Dorfling, Cecilia M. | Miron, Alexander | Benitez, Javier | Senter, Leigha | Huo, Dezheng | Chan, Salina B. | Sokolenko, Anna P. | Chiquette, Jocelyne | Tihomirova, Laima | Friebel, Tara M. | Agnarsson, Bjarni A. | Lu, Karen H. | Lejbkowicz, Flavio | James, Paul A. | Hall, Per | Dunning, Alison M. | Tessier, Daniel | Cunningham, Julie | Slager, Susan L. | Wang, Chen | Hart, Steven | Stevens, Kristen | Simard, Jacques | Pastinen, Tomi | Pankratz, Vernon S. | Offit, Kenneth | Easton, Douglas F. | Chenevix-Trench, Georgia | Antoniou, Antonis C.
PLoS Genetics  2013;9(3):e1003212.
BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7×10−8, HR = 1.14, 95% CI: 1.09–1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4×10−8, HR = 1.27, 95% CI: 1.17–1.38) and 4q32.3 (rs4691139, P = 3.4×10−8, HR = 1.20, 95% CI: 1.17–1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10−4). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.
Author Summary
BRCA1 mutation carriers have increased and variable risks of breast and ovarian cancer. To identify modifiers of breast and ovarian cancer risk in this population, a multi-stage GWAS of 14,351 BRCA1 mutation carriers was performed. Loci 1q32 and TCF7L2 at 10q25.3 were associated with breast cancer risk, and two loci at 4q32.2 and 17q21.31 were associated with ovarian cancer risk. The 4q32.3 ovarian cancer locus was not associated with ovarian cancer risk in the general population or in BRCA2 carriers and is the first indication of a BRCA1-specific risk locus for either breast or ovarian cancer. Furthermore, modeling the influence of these modifiers on cumulative risk of breast and ovarian cancer in BRCA1 mutation carriers for the first time showed that a wide range of individual absolute risks of each cancer can be estimated. These differences suggest that genetic risk modifiers may be incorporated into the clinical management of BRCA1 mutation carriers.
doi:10.1371/journal.pgen.1003212
PMCID: PMC3609646  PMID: 23544013
2.  Genetic Susceptibility to Chronic Lymphocytic Leukemia 
Seminars in hematology  2013;50(4):10.1053/j.seminhematol.2013.09.007.
Chronic lymphocytic leukemia (CLL) is the most common adult leukemia in the West and is an incurable malignancy. No firmly established evidence exists for environmental risk-factors in the etiology of CLL. However, CLL is estimated to have one of the highest familial risks for a hematologic malignancy; this along with other evidence strongly supports an inherited genetic component. In the past five years, genome-wide association studies have provided the foundation for new avenues in the investigation of pathogenesis of this disease with 22 susceptibility loci currently identified. We review here the advances made in identifying these loci, the potential to translate these findings into clinical practice, and future directions needed to advance our understanding of the genetic susceptibility of CLL.
doi:10.1053/j.seminhematol.2013.09.007
PMCID: PMC3834539  PMID: 24246697
CLL; SNP associations; etiology
3.  Rates and Outcomes of Follicular Lymphoma Transformation in the Immunochemotherapy Era: A Report From the University of Iowa/Mayo Clinic Specialized Program of Research Excellence Molecular Epidemiology Resource 
Journal of Clinical Oncology  2013;31(26):3272-3278.
Purpose
This study sought to characterize transformation incidence and outcome for patients with follicular lymphoma (FL) in a prospective observational series begun after diffusion of rituximab use.
Patients and Methods
Patients with newly diagnosed FL were prospectively enrolled onto the University of Iowa/Mayo Clinic Specialized Program of Research Excellence Molecular Epidemiology Resource from 2002 to 2009. Patients were actively followed for re-treatment, clinical or pathologic transformation, and death. Risk of transformation was analyzed via time to transformation by using death as a competing risk.
Results
In all, there were 631 patients with newly diagnosed grade 1 to 3a FL who had a median age at enrollment of 60 years. At a median follow-up of 60 months (range, 11 to 110 months), 79 patients had died, and 60 patients developed transformed lymphoma, of which 51 were biopsy proven. The overall transformation rate at 5 years was 10.7%, with an estimated rate of 2% per year. Increased lactate dehydrogenase was associated with increased risk of transformation. Transformation rate at 5 years was highest in patients who were initially observed and lowest in patients who initially received rituximab monotherapy (14.4% v 3.2%; P = .021). Median overall survival following transformation was 50 months and was superior in patients with transformation greater than 18 months after FL diagnosis compared with patients with earlier transformation (5-year overall survival, 66% v 22%; P < .001).
Conclusion
Follicular transformation rates in the immunochemotherapy era are similar to risk of death without transformation and may be lower than reported in older series. Post-transformation prognosis is substantially better than described in older series. Initial management strategies may influence the risk of transformation.
doi:10.1200/JCO.2012.48.3990
PMCID: PMC3757293  PMID: 23897955
4.  A genome-wide association study of marginal zone lymphoma shows association to the HLA region 
Vijai, Joseph | Wang, Zhaoming | Berndt, Sonja I. | Skibola, Christine F. | Slager, Susan L. | de Sanjose, Silvia | Melbye, Mads | Glimelius, Bengt | Bracci, Paige M. | Conde, Lucia | Birmann, Brenda M. | Wang, Sophia S. | Brooks-Wilson, Angela R. | Lan, Qing | de Bakker, Paul I. W. | Vermeulen, Roel C. H. | Portlock, Carol | Ansell, Stephen M. | Link, Brian K. | Riby, Jacques | North, Kari E. | Gu, Jian | Hjalgrim, Henrik | Cozen, Wendy | Becker, Nikolaus | Teras, Lauren R. | Spinelli, John J. | Turner, Jenny | Zhang, Yawei | Purdue, Mark P. | Giles, Graham G. | Kelly, Rachel S. | Zeleniuch-Jacquotte, Anne | Ennas, Maria Grazia | Monnereau, Alain | Bertrand, Kimberly A. | Albanes, Demetrius | Lightfoot, Tracy | Yeager, Meredith | Chung, Charles C. | Burdett, Laurie | Hutchinson, Amy | Lawrence, Charles | Montalvan, Rebecca | Liang, Liming | Huang, Jinyan | Ma, Baoshan | Villano, Danylo J. | Maria, Ann | Corines, Marina | Thomas, Tinu | Novak, Anne J. | Dogan, Ahmet | Liebow, Mark | Thompson, Carrie A. | Witzig, Thomas E. | Habermann, Thomas M. | Weiner, George J. | Smith, Martyn T. | Holly, Elizabeth A. | Jackson, Rebecca D. | Tinker, Lesley F. | Ye, Yuanqing | Adami, Hans-Olov | Smedby, Karin E. | De Roos, Anneclaire J. | Hartge, Patricia | Morton, Lindsay M. | Severson, Richard K. | Benavente, Yolanda | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Diver, W. Ryan | Vajdic, Claire M. | Armstrong, Bruce K. | Kricker, Anne | Zheng, Tongzhang | Holford, Theodore R. | Severi, Gianluca | Vineis, Paolo | Ferri, Giovanni M. | Ricco, Rosalia | Miligi, Lucia | Clavel, Jacqueline | Giovannucci, Edward | Kraft, Peter | Virtamo, Jarmo | Smith, Alex | Kane, Eleanor | Roman, Eve | Chiu, Brian C. H. | Fraumeni, Joseph F. | Wu, Xifeng | Cerhan, James R. | Offit, Kenneth | Chanock, Stephen J. | Rothman, Nathaniel | Nieters, Alexandra
Nature Communications  2015;6:5751.
Marginal zone lymphoma (MZL) is the third most common subtype of B-cell non-Hodgkin lymphoma. Here we perform a two-stage GWAS of 1,281 MZL cases and 7,127 controls of European ancestry and identify two independent loci near BTNL2 (rs9461741, P=3.95 × 10−15) and HLA-B (rs2922994, P=2.43 × 10−9) in the HLA region significantly associated with MZL risk. This is the first evidence that genetic variation in the major histocompatibility complex influences MZL susceptibility.
Marginal zone lymphoma (MZL) is a common subtype of B-cell non-Hodgkin lymphoma. Here the authors carry out a two-stage genome-wide association study in over 8,000 Europeans and identify two new MZL risk loci at chromosome 6p, implicating the major histocompatibility complex in the disease for the first time.
doi:10.1038/ncomms6751
PMCID: PMC4287989  PMID: 25569183
5.  PROGNOSTIC SIGNIFICANCE OF PRETREATMENT SERUM CYTOKINES IN CLASSICAL HODGKIN LYMPHOMA 
Purpose:
While the International Prognostic Score (IPS) is the gold standard for risk-stratifying patients with classical Hodgkin lymphoma (cHL), these criteria do not accurately predict outcome. As cytokines are critically involved in driving cHL, we tested whether pretreatment serum cytokine levels could provide additional prognostic information.
Experimental Design:
Thirty cytokines were measured in pretreatment serum from 140 cHL patients and compared with 50 non-lymphoma controls. Patients were followed for event-free and overall survival, and Cox proportional hazards regression models were used to assess the association of individual cytokines and the cytokine profiles with outcome via unadjusted and IPS-adjusted hazard ratios (HR).
Results:
Twelve cytokines (EGF, FGFb, GCSF, HGF, IL-6, IL-8, IL-12, IL-2R, IP-10, MIG, TNFa and VEGF) were significantly (p<0.05) higher in cHL patients than controls; elevated levels of HGF, IL-6, IL-2R, IP-10 and MIG were all associated with poorer event-free survival (EFS). Only IL-2R (p=0.002) and IL-6 (p<0.001) were independently prognostic. Patients with increased IL-6 and IL-2R had a significantly higher risk of early relapse and death, a finding that remained significant even after IPS-based risk stratification. While elevated IL-6 and IL-2R correlated with the IPS, sCD30 and TARC levels, the 2-cytokine model remained independently predictive of prognosis.
Conclusions:
Elevated pretreatment serum cytokines are associated with increased disease relapse and inferior survival in cHL. Thus, the pretreatment cytokine profile, particularly serum levels of IL-6 and IL-2R, may be used to identify cHL patients at high risk for early disease relapse.
doi:10.1158/1078-0432.CCR-13-1879
PMCID: PMC3867576  PMID: 24141626
6.  Cytokine gene polymorphisms and progression-free survival in classical Hodgkin lymphoma by EBV status: Results from two independent cohorts 
Cytokine  2013;64(2):523-531.
Background
Cytokines are important immune mediators of classical Hodgkin lymphoma (CHL) pathogenesis, and circulating levels at diagnosis may help predict prognosis. Germline single nucleotide polymorphisms (SNPs) in immune genes have been correlated with cytokine production and function.
Methods
We investigated whether selected germline SNPs in IL10 (rs1800890, rs1800896, rs1800871, rs1800872), TNFA (rs1800629), IL6 (rs1800795), ILRN (rs419598), INFG (rs2430561) and CCL17 (rs223828) were associated with circulating levels of related cytokines at diagnosis and progression-free survival (PFS) in CHL. Patients were from France (GELA, N = 464; median age = 32 years) and the United States (Iowa/Mayo Specialized Program Of Research Excellence [SPORE], N = 239; median age = 38 years); 22% of 346 CHL cases with EBV tumor status were positive.
Results
There was no association with any of the SNPs with cytokine levels. Overall, there was no association of any of the SNPs with PFS. In exploratory analyses by EBV status, TNFA rs1800629 (HRAA/AG = 2.41; 95%CI, 1.17–4.94) was associated with PFS in EBV-negative GELA patients, with similar trends in the SPORE patients (HRAA/AG = 1.63; 95%CI, 0.61–4.40). In a meta-analysis of the two studies, TNFA (HRAA/AG = 2.11; 95%CI, 1.18–3.77; P = 0.01) was statistically significant, and further adjustment for the international prognostic system did not alter this result.
Conclusions
This study showed that germline variation in TNFA was associated with CHL prognosis for EBV-negative patients, which will require confirmation. These results support broader studies on the differential impact of genetic variation in immune genes on EBV-positive vs. EBV-negative CHL pathogenesis.
doi:10.1016/j.cyto.2013.08.002
PMCID: PMC4017856  PMID: 24008079
Hodgkin lymphoma; Cytokines; Polymorphism; TNFA; EBV
7.  FCGR2A and FCGR3A polymorphisms in classical Hodgkin lymphoma by EBV status 
Leukemia & lymphoma  2013;54(11):2571-2573.
doi:10.3109/10428194.2013.796048
PMCID: PMC3999590  PMID: 23597143
FCGR2A; FCGR3A; polymorphism; EBV; Hodgkin Lymphoma
8.  Patients with chronic lymphocytic leukaemia and clonal deletion of both 17p13.1 and 11q22.3 have a very poor prognosis 
British journal of haematology  2013;163(3):326-333.
Summary
Detection of a 17p13.1 deletion (loss of TP53) or 11q22.3 deletion (loss of ATM), by fluorescence in situ hybridization (FISH), in chronic lymphocytic leukaemia (CLL) patients is associated with a poorer prognosis. Because TP53 and ATM are integral to the TP53 pathway, we hypothesized that 17p13.1- (17p-) and 11q22.3- (11q-) occurring in the same cell (clonal 17p-/11q-) would confer a worse prognosis than either 17p- or 11q-. We studied 2184 CLL patients with FISH (1995–2012) for the first occurrence of 17p-, 11q-, or clonal 17p-/11q-. Twenty (1%) patients had clonal 17p-/11q-, 158 (7%) had 17p- (including 4 with 17p- and 11q- in separate clones), 247 (11%) had 11q-, and 1759 (81%) had neither 17p- nor 11q-. Eleven of 15 (73%) tested patients with clonal 17p-/11q- had dysfunctional TP53 mutations. Overall survival for clonal 17p-/11q- was significantly shorter (1.9 years) than 17p- (3.1 years, p = 0.04), 11q- (4.8 years, p = <0.0001), or neither 17p- nor 11q- (9.3 years, p = <0.0001). Clonal 17p-/11q- thus conferred significantly worse prognosis, suggesting that loss of at least one copy of both TP53 and ATM causes more aggressive disease. Use of an ATM/TP53 combination FISH probe set could identify these very-high risk patients.
doi:10.1111/bjh.12534
PMCID: PMC3907074  PMID: 24032430
Chronic lymphocytic leukaemia; prognostic factors; fluorescencein situ hybridization (FISH); TP53; ATM
9.  CXCR5 polymorphisms in non-Hodgkin lymphoma risk and prognosis 
CXCR5 [chemokine (C-X-C motif) receptor 5; also known as Burkitt lymphoma receptor 1 (BCR1)] is expressed on mature B-cells, subsets of CD4+ and CD8+ T-cells, and skin-derived migratory dendritic cells. Together with its ligand, CXCL13, CXCR5 is involved in guiding B-cells into the B-cell zones of secondary lymphoid organs as well as T-cell migration. This study evaluated the role of common germline genetic variation in CXCR5 in the risk and prognosis of non-Hodgkin lymphoma (NHL) using a clinic-based study of 1521 controls and 2694 NHL cases including 710 chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL), 586 diffuse large B-cell lymphoma (DLBCL), 588 follicular lymphoma (FL), 137 mantle cell lymphoma (MCL), 230 marginal zone lymphoma (MZL) and 158 peripheral T-cell lymphoma (PTCL). Of the ten CXCR5 tag SNPs in our study, five were associated with risk of NHL, with rs1790192 having the strongest association (OR=1.19, 95%CI 1.08–1.30; p=0.0003). This SNP was most strongly associated with the risk of FL (OR=1.44, 95%CI 1.25–1.66; p=3.1×10−7), with a lower degree of association with DLBCL (OR=1.16, 95%CI 1.01–1.33; p=0.04) and PTCL (OR=1.29, 95%CI 1.02–1.64; p=0.04) but no association with the risk of MCL or MZL. For FL patients that were observed as initial disease management, the number of minor alleles of rs1790192 was associated with better event-free survival (EFS) (HR=0.64; 95%CI 0.47–0.87; p=0.004). These results provide additional evidence for a role of host genetic variation in CXCR5 in lymphomagenesis, particularly for FL.
doi:10.1007/s00262-013-1452-4
PMCID: PMC3758443  PMID: 23812490
non-Hodgkin lymphoma; SNPs; prognosis; prospective cohort; case-control
10.  Diffuse Large B-Cell Lymphoma (Richter Syndrome) in Patients with Chronic Lymphocytic Leukaemia: A Cohort Study of Newly Diagnosed Patients 
British journal of haematology  2013;162(6):774-782.
Summary
Nearly all information about patients with chronic lymphocytic leukaemia (CLL) who develop diffuse large B-cell lymphoma (Richter syndrome [RS]) is derived from retrospective case series or patients treated on clinical trials. We used the Mayo Clinic CLL Database to identify patients with newly diagnosed CLL (1/2000–7/2011). Individuals who developed biopsy-proven RS during follow-up were identified. After median follow-up of 4 years, 37/1641 (2.3%) CLL patients developed RS. The rate of RS was approximately 0.5%/year. Risk of RS was associated with advanced Rai stage at diagnosis (p<0.001), high-risk FISH (p<0.0001), unmutated IGHV (p=0.003), and expression of ZAP-70 (p=0.02) and CD38 (p=0.001). The rate of RS doubled in patients treated for CLL (1%/year). Stereotyped B-cell receptors (odds-ratio=4.2; p=0.01) but not VH4–39 was associated with increased risk of RS. Treatment with combination of purine analogues and alkylating agents increased the risk of RS 3-fold (odds-ratio= 3.26, p=0.0003). Median survival after RS diagnosis was 2.1 years. The RS prognosis score stratified patients into three risk groups with median survivals of 0.5 years, 2.1 years and not reached. Both underlying characteristics of the CLL clone and subsequent CLL therapy influence the risk of RS. Survival after RS remains poor and new therapies are needed.
doi:10.1111/bjh.12458
PMCID: PMC4098845  PMID: 23841899
transformation; aggressive lymphoma; stem cell transplantation; purine analogues; RS survival score
11.  Associations Between Colorectal Cancer Molecular Markers and Pathways With Clinicopathologic Features in Older Women 
Gastroenterology  2013;145(2):348-356.e2.
BACKGROUND & AIMS
Colorectal tumors have a large degree of molecular heterogeneity. Three integrated pathways of carcinogenesis (ie, traditional, alternate, and serrated) have been proposed, based on specific combinations of microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and mutations in BRAF and KRAS. We used resources from the population-based Iowa Women’s Health Study (n = 41,836) to associate markers of colorectal tumors, integrated pathways, and clinical and pathology characteristics, including survival times.
METHODS
We assessed archived specimens from 732 incident colorectal tumors and characterized them as microsatellite stable (MSS), MSI high or MSI low, CIMP high or CIMP low, CIMP negative, and positive or negative for BRAF and/or KRAS mutations. Informative marker data were collected from 563 tumors (77%), which were assigned to the following integrated pathways: traditional (MSS, CIMP negative, BRAF mutation negative, and KRAS mutation negative; n = 170), alternate (MSS, CIMP low, BRAF mutation negative, and KRAS mutation positive; n = 58), serrated (any MSI, CIMP high, BRAF mutation positive, and KRAS mutation negative; n = 142), or unassigned (n = 193). Multivariable-adjusted Cox proportional hazards regression models were used to assess the associations of interest.
RESULTS
Patients’ mean age (P = .03) and tumors’ anatomic subsite (P = .0001) and grade (P = .0001) were significantly associated with integrated pathway assignment. Colorectal cancer (CRC) mortality was not associated with the traditional, alternate, or serrated pathways, but was associated with a subset of pathway-unassigned tumors (MSS or MSI low, CIMP negative, BRAF mutation negative, and KRAS mutation positive) (n = 96 cases; relative risk = 1.76; 95% confidence interval, 1.07–2.89, compared with the traditional pathway).
CONCLUSIONS
We identified clinical and pathology features associated with molecularly defined CRC subtypes. However, additional studies are needed to determine how these features might influence prognosis.
doi:10.1053/j.gastro.2013.05.001
PMCID: PMC3772766  PMID: 23665275
Molecular Epidemiology; Colon Cancer; Prognostic Factor; Integrated Pathways
12.  Functional and Clinical Significance of Variants Localized to 8q24 in Colon Cancer 
Multiple GWAS have identified several susceptibility variants for colon cancer at 8q24. However, the functional roles of these variants have yet to be elucidated. Here, we evaluated the potential role of these markers in tumor progression and examined association with commonly observed structural abnormalities in this region, c-MYC amplification and chromosome fragility at FRA8C and FRA8D. We first replicated the previously reported association by testing 1178 cases and 1009 clinic-based controls with eight markers localized to three specific regions at 8q24. We observed significant associations with colon cancer risk with markers rs13254738 (ordinal OR=0.82, 95% CI=0.072-0.94, Ptrend=0.0037) and rs6983267 (ordinal OR=1.17, 95% CI=1.03-1.32, Ptrend=0.013). Survival analysis was performed using a separate set of 460 cases to evaluate the clinical significance of these markers. Overall, univariate analysis did not detect survival differences for any of the markers. We also tested a subset of the 460 cases (N=380) for structural abnormalities at or near the c-MYC locus using FISH analysis. Furthermore, we evaluated a small number of cases homozygous for the rs6983267 alleles to test for differences in fragile site induction. None of the 8q markers correlated with amplification at the c-MYC locus as detected by FISH, and no clear pattern of breakage was observed at the FRA8C and FRA8D sites. In this study, we confirm the association for several SNPs at 8q24 in colon cancer but have not detected any structural role relating to c-MYC amplification or chromosomal fragility. Finally, these risk alleles do not appear to be associated with survival.
doi:10.1158/1055-9965.EPI-09-0362
PMCID: PMC4059694  PMID: 19690179
8q; SNP; association; survival; FISH; fragile site; c-MYC
13.  PatternCNV: a versatile tool for detecting copy number changes from exome sequencing data 
Bioinformatics  2014;30(18):2678-2680.
Motivation: Exome sequencing (exome-seq) data, which are typically used for calling exonic mutations, have also been utilized in detecting DNA copy number variations (CNVs). Despite the existence of several CNV detection tools, there is still a great need for a sensitive and an accurate CNV-calling algorithm with built-in QC steps, and does not require a paired reference for each sample.
Results: We developed a novel method named PatternCNV, which (i) accounts for the read coverage variations between exons while leveraging the consistencies of this variability across different samples; (ii) reduces alignment BAM files to WIG format and therefore greatly accelerates computation; (iii) incorporates multiple QC measures designed to identify outlier samples and batch effects; and (iv) provides a variety of visualization options including chromosome, gene and exon-level views of CNVs, along with a tabular summarization of the exon-level CNVs. Compared with other CNV-calling algorithms using data from a lymphoma exome-seq study, PatternCNV has higher sensitivity and specificity.
Availability and implementation: The software for PatternCNV is implemented using Perl and R, and can be used in Mac or Linux environments. Software and user manual are available at http://bioinformaticstools.mayo.edu/research/patterncnv/, and R package at https://github.com/topsoil/patternCNV/.
Contact: Asmann.Yan@mayo.edu
Supplementary information: Supplementary data are available at Bioinformatics online.
doi:10.1093/bioinformatics/btu363
PMCID: PMC4155258  PMID: 24876377
14.  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 
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 performed Sanger sequencing of IRF8 in 94 CLL cases and 96 controls. We then performed fine-mapping by genotyping 39 variants (of which 10 were identified from sequencing) in 745 CLL cases and 1521 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 SNP located within the 3’ UTR of IRF8 (rs1044873, log additive odds ratio = 0.7, P=1.81×10−6). This SNP was not associated with the other NHL subtypes (all P>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.
doi:10.1158/1055-9965.EPI-12-1217
PMCID: PMC3596428  PMID: 23307532
CLL; NHL; SNPs; IRF8; risk locus
15.  Non-Hodgkin lymphoma and Obesity: a pooled analysis from the InterLymph consortium 
Nutritional status is known to alter immune function, a suspected risk factor for non-Hodgkin lymphoma (NHL). To investigate whether long-term over, or under, nutrition is associated with NHL self-reported anthropometric data on weight and height from over 10000 cases of NHL and 16000 controls were pooled across 18 case-control studies identified through the International Lymphoma Epidemiology Consortium. Study-specific odds ratios (OR) were estimated using logistic regression and combined using a random-effects model. Severe obesity, defined as BMI of 40 kg m−2 or more, was not associated with NHL overall (pooled OR=1.00, 95% confidence interval (CI) 0.70–1.41) or the majority of NHL subtypes. An excess was however observed for diffuse large B-cell lymphoma (pooled OR=1.80, 95% CI 1.24–2.62), although not all study-specific ORs were raised. Among the overweight (BMI 25–29.9 kg m−2) and obese (BMI 30–39.9 kg m−2), associations were elevated in some studies and decreased in others, while no association was observed among the underweight (BMI<18.5 kg m−2). There was little suggestion of increasing ORs for NHL or its subtypes with every 5 kg m−2 rise in BMI above 18.5 kg m−2. BMI components height and weight were also examined, and the tallest men, but not women, were at marginally increased risk (pooled OR=1.19, 95% CI 1.06–1.34). In summary, whilst we conclude that there is no evidence to support the hypothesis that obesity is a determinant of all types of NHL combined, the association between severe obesity and diffuse large B-cell lymphoma may warrant further investigation.
doi:10.1002/ijc.23344
PMCID: PMC3928289  PMID: 18167059
non-Hodgkin lymphoma; lymphoma; body mass index; weight; height; epidemiology
16.  Autoimmune Cytopenia in Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma (CLL): Changes in Clinical Presentation and Prognosis 
Leukemia & lymphoma  2009;50(8):1261-1268.
Improved medical care could have altered the clinical presentation and survival of patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL) complicated by autoimmune cytopenia (AID cytopenia). We reviewed the clinical characteristics, treatment, and outcome of AID cytopenia that was diagnosed in 75 (4.3%) of 1750 CLL patients seen at a single institution over 10 years. Compared to historical reported data, our study shows a lower rate of autoimmune hemolytic anemia (2.3%), and similar rates of immune thrombocytopenia (2.0%) and pure red blood cell aplasia (0.5%). AID cytopenia occurred at all stages of CLL, responded well to treatment, did not alter overall survival, and contributed to death in only 6 (12%) patients. We propose that more sensitive and accurate diagnostic methods for CLL have decreased the perceived prevalence of AID cytopenia and that improvements in management could have increased the survival of these patients.
PMCID: PMC3917557  PMID: 19811329
17.  Statin and Non-steroidal Anti-inflammatory Drug (NSAID) Use In Relation to Clinical Outcome Among Patients with Rai Stage 0 Chronic Lymphocytic Leukemia (CLL) 
Leukemia & lymphoma  2010;51(7):1233-1240.
Statins and nonsteroidal anti-inflammatory drugs (NSAIDs) are among the most commonly prescribed medications. In vitro studies suggest that statins and NSAIDs may have potential as anti-cancer therapies in low grade non-Hodgkin lymphomas including chronic lymphocytic leukemia (CLL) and a recent observational study found statin use was associated with improved event free survival in patients with follicular lymphoma. Other studies have suggested that statins reduce the efficacy of rituximab by inhibiting binding to CD20. We therefore conducted an observational cohort study of 686 patients with newly diagnosed Rai stage 0 CLL to evaluate whether statin or NSAID use was related to their clinical outcome or influenced the efficacy of rituximab therapy. At diagnosis, 136 (20%) patients took statins and 230 (34%) scheduled daily aspirin, ibuprofen, or naproxen. No difference in time to treatment was observed based on statin or NSAID use. Among patients receiving a rituximab containing first-line therapy, no difference in time to salvage treatment was observed based on statin use. Although previous studies suggested statins may improve event free survival among patients with follicular lymphoma, we find no impact of statins on time to initial therapy in this large study of patients with Rai stage 0 CLL. The in vitro observation that statins reduce rituximab efficacy does not appear to have clinical significance in CLL care.
doi:10.3109/10428194.2010.486877
PMCID: PMC3913168  PMID: 20496995
18.  Genome-wide Association Study Identifies Multiple Risk Loci for Chronic Lymphocytic Leukemia 
Berndt, Sonja I. | Skibola, Christine F. | Joseph, Vijai | Camp, Nicola J. | Nieters, Alexandra | Wang, Zhaoming | Cozen, Wendy | Monnereau, Alain | Wang, Sophia S. | Kelly, Rachel S. | Lan, Qing | Teras, Lauren R. | Chatterjee, Nilanjan | Chung, Charles C. | Yeager, Meredith | Brooks-Wilson, Angela R. | Hartge, Patricia | Purdue, Mark P. | Birmann, Brenda M. | Armstrong, Bruce K. | Cocco, Pierluigi | Zhang, Yawei | Severi, Gianluca | Zeleniuch-Jacquotte, Anne | Lawrence, Charles | Burdette, Laurie | Yuenger, Jeffrey | Hutchinson, Amy | Jacobs, Kevin B. | Call, Timothy G. | Shanafelt, Tait D. | Novak, Anne J. | Kay, Neil E. | Liebow, Mark | Wang, Alice H. | Smedby, Karin E | Adami, Hans-Olov | Melbye, Mads | Glimelius, Bengt | Chang, Ellen T. | Glenn, Martha | Curtin, Karen | Cannon-Albright, Lisa A. | Jones, Brandt | Diver, W. Ryan | Link, Brian K. | Weiner, George J. | Conde, Lucia | Bracci, Paige M. | Riby, Jacques | Holly, Elizabeth A. | Smith, Martyn T. | Jackson, Rebecca D. | Tinker, Lesley F. | Benavente, Yolanda | Becker, Nikolaus | Boffetta, Paolo | Brennan, Paul | Foretova, Lenka | Maynadie, Marc | McKay, James | Staines, Anthony | Rabe, Kari G. | Achenbach, Sara J. | Vachon, Celine M. | Goldin, Lynn R | Strom, Sara S. | Lanasa, Mark C. | Spector, Logan G. | Leis, Jose F. | Cunningham, Julie M. | Weinberg, J. Brice | Morrison, Vicki A. | Caporaso, Neil E. | Norman, Aaron D. | Linet, Martha S. | De Roos, Anneclaire J. | Morton, Lindsay M. | Severson, Richard K. | Riboli, Elio | Vineis, Paolo | Kaaks, Rudolph | Trichopoulos, Dimitrios | Masala, Giovanna | Weiderpass, Elisabete | Chirlaque, María-Dolores | Vermeulen, Roel C H | Travis, Ruth C. | Giles, Graham G. | Albanes, Demetrius | Virtamo, Jarmo | Weinstein, Stephanie | Clavel, Jacqueline | Zheng, Tongzhang | Holford, Theodore R | Offit, Kenneth | Zelenetz, Andrew | Klein, Robert J. | Spinelli, John J. | Bertrand, Kimberly A. | Laden, Francine | Giovannucci, Edward | Kraft, Peter | Kricker, Anne | Turner, Jenny | Vajdic, Claire M. | Ennas, Maria Grazia | Ferri, Giovanni M. | Miligi, Lucia | Liang, Liming | Sampson, Joshua | Crouch, Simon | Park, Ju-hyun | North, Kari E. | Cox, Angela | Snowden, John A. | Wright, Josh | Carracedo, Angel | Lopez-Otin, Carlos | Bea, Silvia | Salaverria, Itziar | Martin, David | Campo, Elias | Fraumeni, Joseph F. | de Sanjose, Silvia | Hjalgrim, Henrik | Cerhan, James R. | Chanock, Stephen J. | Rothman, Nathaniel | Slager, Susan L.
Nature genetics  2013;45(8):868-876.
doi:10.1038/ng.2652
PMCID: PMC3729927  PMID: 23770605
19.  Age at Diagnosis and the Utility of Prognostic Testing in Patients with Chronic Lymphocytic Leukemia (CLL) 
Cancer  2010;116(20):4777-4787.
PURPOSE
To analyze the survival of CLL patients relative to age-matched individuals in the general population and determined the age-stratified utility of prognostic testing.
METHODS
All 2487 patients diagnosed with CLL between January 1995 and June 2008 and cared for in the Mayo Division of Hematology were categorized by age at diagnosis and evaluated for differences in clinical characteristics, time to first treatment(TFT), and overall survival(OS).
RESULTS
Among Rai stage 0 patients, survival was shorter than the age-matched general population for patients age<55 years(p<0.001), 55-64 years(p<0.001), and 65-74 years(p<0.001) but not those age≥75 at diagnosis(p=NS). CD38, IGHV mutation, and ZAP-70 each predicted TFT independent of stage for all age groups(all p <0.04) but had less value for predicting OS, particularly as age increased. IGHV and FISH predicted OS independent of stage for patients
CONCLUSIONS
Survival of CLL patients age<75 is shorter than the age-matched general population regardless of disease stage. Among patients age<75, the simple combinations of stage and IGHV or stage and FISH identifies those with excess risk of death relative to the age-matched population. Although useful for predicting TFT independent of stage for patients of all ages, prognostic testing had little utility for predicting OS independent of stage among patients age≥75.
doi:10.1002/cncr.25292
PMCID: PMC3902481  PMID: 20578179
Cancer  2011;118(7):1827-1837.
Background
The impact of physicians’ disease-specific expertise on patient outcome is unknown. While previous studies suggest a survival advantage for cancer patients cared for at high volume centers, these observations may simply reflect referral bias or better access to advanced technologies, clinical trials, and multidisciplinary support at large centers.
Methods
We evaluated time to first treatment(TTFT) and overall survival(OS) of patients with newly diagnosed chronic lymphocytic leukemia/small lymphocytic lymphoma(CLL) at a single academic center based on whether they were cared for by a hematologist/oncologist who sub-specializes in CLL(CLL hematologist) or a hematologist/oncologist with expertise in other areas(non-CLL hematologist).
Results
Among 1309 newly diagnosed patients with CLL cared for between 1999–2009, 773(59%) were cared for by CLL hematologists and 536 were cared for by non-CLL hematologists. Among early stage patients(Rai 0-I), median TTFT(9.2 vs. 6.1 years; p<0.001) and OS(10.5 years vs. 8.8 years; p<0.001) were superior for patients cared for by CLL hematologists. For all patients, OS was superior for patients cared for by CLL hematologists(10.5 years vs. 8.4 years; p=0.001). Physician’s disease-specific expertise remained an independent predictor of OS after adjusting for age, stage, sex, and lymphocyte count. Patients seen by a CLL hematologist were also more likely participate in clinical trials(48% vs. 16%; p<0.001).
Conclusion
Physician disease-specific expertise appears to influence outcome in patients with CLL. To the greatest extent possible, patients should be cared for by a hematologist/oncologist expert in the care of their specific malignancy. When not possible, practice guidelines developed by disease-specific experts should be followed.
doi:10.1002/cncr.26474
PMCID: PMC3893049  PMID: 22009554
chronic lymphocytic lymphoma(CLL); small lymphocytic lymphoma (SLL); prognosis; physician expertise
Background
There is strong and consistent evidence that a genetic component contributes to the etiology of chronic lymphocytic leukemia (CLL). A recent genome-wide association study (GWAS) of CLL identified 7 genetic variants that increased the risk of CLL within a European population.
Methods
We evaluated the association of these variants, or variants in linkage disequilibrium (LD) with these variants, with CLL risk in an independent sample of 438 CLL cases and 328 controls.
Results
Of these 7 SNPs, 6 had p-trend < 0.05 and had estimated odds ratios (ORs) that were strikingly comparable to those of the previous study. Associations were seen for rs9378805 (OR = 1.47, 95% CI: 1.19, 1.80, p-trend = 0.0003) near IRF4 and rs735665 near GRAMD1B (OR= 1.47; 95% CI: 1.14, 1.89; p-trend = 0.003). However, no associations (P> 0.05) were found for rs11083846, nor were any found for any SNPs in LD with rs11083846.
Conclusions
Our results confirm the previous findings and further support the role of a genetic basis in the etiology of CLL; however, more research is needed to elucidate the causal SNP(s) and the potential manner in which these SNPs or linked SNPs function in CLL pathogenesis.
doi:10.1158/1055-9965.EPI-09-1217
PMCID: PMC2852480  PMID: 20332261
IRF4; CLL; genetic association
Cancer causes & control : CCC  2012;24(1):125-134.
Purpose
Studies of smoking and risk of non-Hodgkin lymphoma (NHL) have yielded inconsistent results, possibly due to subtype heterogeneity and/or genetic variation impacting the metabolism of tobacco-derived carcinogens, including substrates of the N-acetyltransferase enzymes NAT1 and NAT2.
Methods
We conducted a pooled analysis of 5,026 NHL cases and 4,630 controls from seven case–control studies in the international lymphoma epidemiology consortium to examine associations between smoking, variation in the N-acetyltransferase genes NAT1 and NAT2, and risk of NHL subtypes. Smoking data were harmonized across studies, and genetic variants in NAT1 and NAT2 were used to infer acetylation phenotype of the NAT1 and NAT2 enzymes, respectively. Pooled odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for risk of NHL and subtypes were calculated using joint fixed effects unconditional logistic regression models.
Results
Current smoking was associated with a significant 30 % increased risk of follicular lymphoma (n = 1,176) but not NHL overall or other NHL subtypes. The association was similar among NAT2 slow (OR 1.36; 95 % CI 1.07–1.75) and intermediate/rapid (OR 1.27; 95 % CI 0.95–1.69) acetylators (pinteraction = 0.82) and also did not differ by NAT1*10 allelotype. Neither NAT2 phenotype nor NAT1*10 allelotype was associated with risk of NHL overall or NHL subtypes.
Conclusion
The current findings provide further evidence for a modest association between current smoking and follicular lymphoma risk and suggest that this association may not be influenced by variation in the N-acetyltransferase enzymes.
doi:10.1007/s10552-012-0098-4
PMCID: PMC3529854  PMID: 23160945
Non-Hodgkin lymphoma; Gene environment interaction; Cigarette smoking; N-acetyltransferase; Follicular lymphoma
Annals of epidemiology  2012;22(12):855-862.
Purpose
To evaluate the association of body mass index (BMI) and physical activity (PA) during adulthood and at age 18 with risk of non-Hodgkin lymphoma (NHL).
Methods
We enrolled 950 newly diagnosed NHL patients and 1146 frequency-matched clinic-based controls. Height, weight, and PA (recent adult and at age 18) were self-reported. Odds ratios (OR), 95% confidence intervals (CI), and tests for trend were estimated using unconditional logistic regression adjusted for age, gender, and residence.
Results
BMI at age 18 was associated with an increased NHL risk (OR=1.38 for highest vs. lowest quartile, p-trend=0.0012), which on stratified analysis was specific to females (OR=1.90, p-trend=0.00025). There was no association of adult BMI with NHL risk. Higher physical activity in adulthood (OR=1.03, p-trend=0.85) or at age 18 (OR=0.88, 95%CI: 0.72–1.07) was not associated with risk, but there was an inverse association for adult physical activity that was specific to females (OR=0.71, p-trend=0.039). Only BMI at age 18 remained significantly associated with NHL risk when modeled together with adult or age 18 physical activity. There was little evidence for heterogeneity in these results for the common NHL subtypes.
Conclusions
Early adult BMI may be of greatest relevance to NHL risk, particularly in females.
doi:10.1016/j.annepidem.2012.10.002
PMCID: PMC3513768  PMID: 23146413
body mass index; exercise; lymphoma; non-Hodgkin; etiology; case-control studies
British journal of haematology  2012;159(5):572-576.
Summary
A recent meta-analysis of three genome-wide association studies of chronic lymphocytic leukaemia (CLL) identified two common variants at the 6p21.31 locus that are associated with CLL risk. To verify and further explore the association of these variants with other non-Hodgkin lymphoma (NHL) subtypes, we genotyped 1196 CLL cases, 1699 NHL cases, and 2410 controls. We found significant associations between the 6p21.31 variants and CLL risk (rs210134: P=0.01; rs210142: P=6.8×10−3). These variants also showed a trend towards association with some of the other NHL subtypes. Our results validate the prior work and support specific genetic pathways for risk among NHL subtypes.
doi:10.1111/bjh.12070
PMCID: PMC3614403  PMID: 23025533
CLL; NHL; SNPs; BAK1; risk locus
Cytokine  2012;60(3):882-889.
Background
Abnormal immune function is a key factor in predisposition to non-Hodgkin lymphoma (NHL). We evaluated the association of 30 cytokines individually and as a profile with diffuse large B-cell (DLBCL) and follicular (FL) lymphomas.
Methods
We used a multiplexed assay to measure 30 cytokine concentrations in pre-treatment serum in a case-control study of 234 FL, 188 DLBCL, and 400 control participants. Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CI) adjusted for age and sex, and polytomous regression was used to evaluate heterogeneity between FL and DLBCL. Principal components analysis (PCA) was used to assess cytokine profiles associated with FL and DLBCL.
Results
In single cytokine modeling, we found that 12 of the 30 circulating serum cytokines were significantly (P<0.05) associated with FL and/or DLBCL after accounting for multiple testing (q<0.05). Soluble IL-2R (sIL-2R) had the strongest association with both FL (OR=6.0 for highest versus lowest tertile, 95% CI 3.8–9.5; p-trend=1.8 × 10−21) and DLBCL (OR=7.6, 95% CI 4.5–13.1; p-trend=7.2 × 10−20). IL1RA and IL-12p40 also showed similar associations for DLBCL and FL. In contrast, HGF, MIG, and MIP-1α had a stronger association with DLBCL compared to FL, and IL-6, IL-8, IL-10, IFN-γ, IP-10, and VEGF were only statistically significantly associated with DLBCL after accounting for multiple testing. However, in PCA modeling, a cytokine profile based on sIL-2R, IL-1RA, MIG, IP-10, IL-8, and IL-12p40 explained most of the variability between controls and both FL and DLBCL.
Conclusions
We identified some single cytokines unique to DLBCL, but overall cytokine associations were more similar than distinct for DLBCL and FL. While these data are limited by concerns of reverse causality, they do suggest cytokines and cytokine profiles that can be prioritized in future studies.
doi:10.1016/j.cyto.2012.08.028
PMCID: PMC3483382  PMID: 23010502
non-Hodgkin lymphoma; biomarkers; cytokines; case-control

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