Cerhan, James R.

AbstractObesity is a controversial risk factor for colorectal cancer (CRC) in older women. We evaluated associations between multiple body size parameters and incident CRC in the prospective, population-based Iowa Women's Health Study (IWHS). IWHS participants, ages 55 to 69 years, provided data regarding height; weight; weight at ages 50, 40, 30, 18 years; hip circumference; and waist circumference at baseline (1986). Derived variables included body mass index (BMI), waist-to-hip ratio (WHR), and “overweight years” (OWY; conceptually similar to cigarette pack-years). Incident CRC cases (n = 1,464) were ascertained from the State Health Registry of Iowa, through 2005. Multivariable Cox regression models were fit to estimate body size–associated CRC risks. Among 36,941 women (619,961 person-years), baseline height, weight, BMI, hip circumference, waist circumference, and WHR were all positively associated with incident CRC (Ptrend ≤ 0.003 for each). Baseline BMI yielded the highest CRC risk estimates (obese III versus normal, RR = 1.56; 95% CI = 1.10–2.22; Ptrend < 0.001) and was more closely associated with distal than proximal tumors (Ptrend < 0.001 versus 0.06). Conversely, height was more closely associated with proximal than distal tumors (Ptrend < 0.001 versus 0.04). Other body size parameters were less predictive of incident CRC. These data strongly support a positive association between increased body size and CRC risk among older women. Further investigation of when increased body size has the greatest effect on CRC risk (i.e., early adulthood versus later adulthood) might also be informative, particularly with respect to defining subsite-specific pathways of colorectal carcinogenesis. Cancer Prev Res; 3(12); 1608–20. ©2010 AACR.

Purpose Vitamin D insufficiency is common in the United States, with low levels linked in some studies to higher cancer incidence, including non-Hodgkin's lymphoma (NHL). Recent data also suggest that vitamin D insufficiency is related to inferior prognosis in some cancers, although there are no data for NHL. Patients and Methods We tested the hypothesis that circulating 25-hydroxyvitamin D [25(OH)D] levels are predictive of event-free survival (EFS) and overall survival (OS) in a prospective cohort of 983 newly diagnosed patients with NHL. 25(OH)D and 1,25-dihydroxyvitamin D [1,25(OH)2D] levels were measured by liquid chromatography-tandem mass spectrometry. Results Mean age at diagnosis was 62 years (range, 19 to 94 years); 44% of patients had insufficient 25(OH)D levels (< 25 ng/mL) within 120 days of diagnosis. Median follow-up was 34.8 months; 404 events and 193 deaths (168 from lymphoma) occurred. After adjusting for known prognostic factors and treatment, 25(OH)D insufficient patients with diffuse large B-cell lymphoma (DLBCL) had inferior EFS (hazard ratio [HR], 1.41; 95% CI, 0.98 to 2.04) and OS (HR, 1.99; 95% CI, 1.27 to 3.13); 25(OH)D insufficient patients with T-cell lymphoma also had inferior EFS (HR, 1.94; 95% CI, 1.04 to 3.61) and OS (HR, 2.38; 95% CI, 1.04 to 5.41). There were no associations with EFS for the other NHL subtypes. Among patients with DLBCL and T-cell lymphoma, higher 1,25(OH)2D levels were associated with better EFS and OS, suggesting that any putative tumor 1-α-hydroxylase activity did not explain the 25(OH)D associations. Conclusion 25(OH)D insufficiency was associated with inferior EFS and OS in DLBCL and T-cell lymphoma. Whether normalizing vitamin D levels in these patients improves outcomes will require testing in future trials.

Abstract After publication of the updated World Health Organization (WHO) classification of tumors of hematopoietic and lymphoid tissues in 2008, the Pathology Working Group of the International Lymphoma Epidemiology Consortium (InterLymph) now presents an update of the hierarchical classification of lymphoid neoplasms for epidemiologic research based on the 2001 WHO classification, which we published in 2007. The updated hierarchical classification incorporates all of the major and provisional entities in the 2008 WHO classification, including newly defined entities based on age, site, certain infections, and molecular characteristics, as well as borderline categories, early and “in situ” lesions, disorders with limited capacity for clinical progression, lesions without current International Classification of Diseases for Oncology, 3rd Edition codes, and immunodeficiency-associated lymphoproliferative disorders. WHO subtypes are defined in hierarchical groupings, with newly defined groups for small B-cell lymphomas with plasmacytic differentiation and for primary cutaneous T-cell lymphomas. We suggest approaches for applying the hierarchical classification in various epidemiologic settings, including strategies for dealing with multiple coexisting lymphoma subtypes in one patient, and cases with incomplete pathologic information. The pathology materials useful for state-of-the-art epidemiology studies are also discussed. We encourage epidemiologists to adopt the updated InterLymph hierarchical classification, which incorporates the most recent WHO entities while demonstrating their relationship to older classifications.

Abstract Monoclonal gammopathy of undetermined significance (MGUS) is associated with a long-term risk of progression to multiple myeloma (MM) or related malignancy. To prevent serious myeloma-related complications, lifelong annual follow-up has been recommended, but its value is unknown. We reviewed all patients from southeastern Minnesota seen at Mayo Clinic between 1973 and 2004 with MGUS who subsequently progressed to MM. Of 116 patients, 69% had optimal follow-up of MGUS. Among these, abnormalities on serial follow-up laboratory testing led to the diagnosis of MM in 16%, whereas MM was diagnosed only after serious MM-related complications in 45%. In the remaining, workup of less serious symptoms (25%), incidental finding during workup of unrelated medical conditions (11%), and unknown (3%) were the mechanisms leading to MM diagnosis. High-risk MGUS patients (≥ 1.5 g/dL and/or non-IgG MGUS) were more likely to be optimally followed (81% vs 64%), and be diagnosed with MM secondary to serial follow-up testing (21% vs 7%). This retrospective study suggests that routine annual follow-up of MGUS may not be required in low-risk MGUS. Future studies are needed to replicate and expand our findings and to determine the optimal frequency of monitoring in higher-risk MGUS patients.

AbstractGenome-wide association and candidate gene studies implicate different genetic variants within the 6p21 chromosomal region with different non-Hodgkin lymphoma (NHL) subtypes. Complementing these efforts, we conducted human leukocyte antigen (HLA) class I and class II genotyping among 610 NHL cases and 555 controls of non-Hispanic white descent from a US multicenter study. Allele-disease associations were assessed by logistic regression for NHL and its subtypes. Statistically significant associations between HLA and NHL subtypes include HLA-DRB1*0101 for follicular lymphoma (odds ratio [OR] = 2.14, P < .001), HLA-DRB1*0401 for diffuse large B-cell lymphoma (DLBCL; OR = 0.45, P = .006), and HLA-DRB1*13 and follicular lymphoma (OR = 0.48, P = .008). We further observed significant heterozygote advantage for HLA class I alleles and NHL, and particularly DLBCL (P trend = .01 for elevated risk with increasing number of homozygous alleles). Our results support a role for HLA in the etiology of NHL and its subtypes.

Abstract 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 of CLL identified seven 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 with these variants, with CLL risk in an independent sample of 438 CLL cases and 328 controls. Results: Of these seven single nucleotide polymorphisms (SNP), six had P trend &lt; 0.05 and had estimated odds ratios (OR) that were strikingly comparable to those of the previous study. Associations were seen for rs9378805 [OR, 1.47; 95% confidence intervals (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 &gt; 0.05) were found for rs11083846, nor were any found for any SNP in linkage disequilibrium 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. Cancer Epidemiol Biomarkers Prev; 19(4); 1098–102. ©2010 AACR.

Purpose Statins have antilymphoma properties but have also been shown to inhibit the binding of rituximab to the CD20 antigen, resulting in reduced antitumor activity of rituximab in vitro. The clinical impact of statin use on the outcome of lymphoma patients treated with a rituximab-containing regimen is unknown. Patients and Methods Consecutive patients with newly diagnosed, diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) were enrolled onto a registry and observed prospectively. The impact of statin use on patients' outcomes was analyzed. Results Two hundred twenty-eight patients with DLBCL and 293 patients with FL were enrolled from September 2002 through June 2007; 21% of patients with DLBCL and 19% of patients with FL were on statins at diagnosis, and 20% and 17% remained on statins during lymphoma treatment, respectively. All patients with DLBCL and 39% of patients with FL received initial therapy containing rituximab. The median follow-up time was 47 months (range, 13 to 80 months). Statin use had no impact on the overall response rate (P = .67), overall survival (P = .76), or event-free survival (EFS) in patients with DLBCL (hazard ratio [HR] = 0.85; 95% CI, 0.43 to 1.68). Statin use at diagnosis was associated with improved EFS in patients with FL (HR = 0.45; 95% CI, 0.26 to 0.77), including subgroups treated with rituximab or a rituximab-containing regimen (HR = 0.38; 95% CI, 0.14 to 1.07) and patients who were observed only (HR = 0.38; 95% CI, 0.17 to 0.84). Conclusion The concurrent use of statins during the treatment of patients with DLBCL and FL in the rituximab era did not adversely affect outcome. The apparent benefit of statin therapy on FL outcome requires further studies.

Abstract Prostate cancer, a complex disease, can be relatively harmless or extremely aggressive. To identify candidate genes involved in causal pathways of aggressive prostate cancer, we implemented a systems biology approach by combining differential expression analysis and coexpression network analysis to evaluate transcriptional profiles using lymphoblastoid cell lines from 62 prostate cancer patients with aggressive phenotype (Gleason grade ≥ 8) and 63 prostate cancer patients with nonaggressive phenotype (Gleason grade ≤ 5). From 13,935 mRNA genes and 273 microRNAs (miRNA) tested, we identified significant differences in 1,100 mRNAs and 7 miRNAs with a false discovery rate (FDR) of &lt;0.01. We also identified a coexpression module demonstrating significant association with the aggressive phenotype of prostate cancer (P = 3.67 × 10−11). The module of interest was characterized by overrepresentation of cell cycle–related genes (FDR = 3.50 × 10−50). From this module, we further defined 20 hub genes that were highly connected to other genes. Interestingly, 5 of the 7 differentially expressed miRNAs have been implicated in cell cycle regulation and 2 (miR-145 and miR-331-3p) are predicted to target 3 of the 20 hub genes. Ectopic expression of these two miRNAs reduced expression of target hub genes and subsequently resulted in cell growth inhibition and apoptosis. These results suggest that cell cycle is likely to be a molecular pathway causing aggressive phenotype of prostate cancer. Further characterization of cell cycle–related genes (particularly, the hub genes) and miRNAs that regulate these hub genes could facilitate identification of candidate genes responsible for the aggressive phenotype and lead to a better understanding of prostate cancer etiology and progression. [Cancer Res 2009;69(24):9490–7]

Abstract Multiple genome-wide association studies 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 1,178 cases and 1,009 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 odds ratio, 0.82; 95% confidence interval, 0.072-0.94; Ptrend = 0.0037) and rs6983267 (ordinal odds ratio, 1.17; 95% confidence interval, 1.03-1.32, Ptrend = 0.013). Survival analysis was done 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 fluorescence in situ hybridization 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 fluorescence in situ hybridization, and no clear pattern of breakage was observed at the FRA8C and FRA8D sites. In this study, we confirm the association for several single nucleotide polymorphisms 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 seem to be associated with survival. (Cancer Epidemiol Biomarkers Prev 2009;18(9):2492–500)