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Vierkant, Robert A.

https://orcid.org/0000-0001-6242-5221

A5022687053 | I1330342723

Mayo Clinic

Division of Quantitative Health Sciences (R.A.V., T.C.L., H.S.)

Citations 237

Breast Cancer Risk and Progressive Histology in Serial Benign Biopsies

JNCI: Journal of the National Cancer Institute | February 16, 2017 | Volume: 109 | Issue: 10 | Pages: No page available

10.1093/jnci/djx035 | PMID 28376198

Cytotoxic T Cells and Granzyme B Associated with Improved Colorectal Cancer Survival in a Prospective Cohort of Older Women

Cancer Epidemiology, Biomarkers & Prevention | December 15, 2016 | Volume: 26 | Issue: 4 | Pages: 622-631

10.1158/1055-9965.epi-16-0641 | PMID 27979806

Abstract Background: Host immune response may predict the course of colorectal cancer. We examined the survival of 468 colorectal cancer patients associated with two tumor-infiltrating immune biomarkers, the number of cytotoxic T lymphocytes (CTLs), and the activated CTLs, as reflected by the number of cells expressing granzyme B (GZMB) in the prospective Iowa Women's Health Study. Methods: Using paraffin-embedded tissue samples, we constructed and immunostained tumor microarrays with CD8 (for CTL) and GZMB antibodies. We scored CTL and GZMB densities in tumor epithelial and stromal tissues and also created a composite score for each biomarker (sum of the scores across tissue compartments). Cox regression estimated the HR and 95% confidence intervals (CI) for all-cause and colorectal cancer–specific death associated with each composite score. Results: CTL and GZMB composite scores were positively correlated (r = 0.65) and each biomarker was inversely correlated with stage at diagnosis. Both composite scores were higher in proximal colon tumors and tumors characterized by MSI-high, CIMP-high, or BRAF mutation status. HRs (95% CI) were 0.53 (0.38–0.75; Ptrend = 0.0004) and 0.66 (0.51–0.86; Ptrend = 0.002) for all-cause death, respectively, and 0.30 (0.18–0.51; Ptrend < 0.0001) and 0.41 (0.27–0.63; Ptrend < 0.0001) for colorectal cancer–related death, respectively. Including CTL and GZMB scores simultaneously in the model significantly improved the predictive performance of the models for all-cause and colorectal cancer–related death. Conclusions: Higher tumor infiltration with CTL and GZMB cells is associated with improved all-cause and cancer-specific survival of colorectal cancer patients. Impact: Both the number of CTLs and GZMB appear to be useful prognostic factors in colorectal cancer, irrespective of stage. Cancer Epidemiol Biomarkers Prev; 26(4); 622–31. ©2016 AACR.
PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS

Journal of Medical Genetics | September 5, 2016 | Volume: 53 | Issue: 12 | Pages: 800-811

10.1136/jmedgenet-2016-103839 | PMID 27595995

Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10−5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10−8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.
Abstract LB-364: Natural history of age-related lobular involution and impact on breast cancer risk

Cancer Research | July 26, 2016 | Volume: 76 | Issue: 14_Supplement | Pages: LB-364-LB-364

10.1158/1538-7445.am2016-lb-364

Abstract Background: Age-related lobular involution (LI) is a physiological process in which the terminal duct lobular units of the breast regress as a woman ages. Analyses of breast biopsies from women with benign breast disease (BBD) have found that extent of LI is negatively associated with subsequent breast cancer development. Here we assess the natural course of LI within individual women, and the impact of progressive LI on breast cancer risk. Methods: The Mayo Clinic BBD cohort consists of 13,455 women with BBD from 1967-2001. The BBD cohort includes 1115 women who had multiple benign biopsies, 106 of whom had developed breast cancer. Within this multiple biopsy cohort, the progression of the LI process was examined by age at initial biopsy and time between biopsies. The relationship between LI progression and breast cancer risk was assessed using standardized incidence ratios (SIRs) and by Cox proportional hazards analysis. Results: Women who had multiple biopsies were younger age and had a slightly higher family history of breast cancer as compared with the overall BBD cohort. Extent of LI at subsequent biopsy was greater with increasing time between biopsies and for women age 55+ at initial biopsy. Among women with multiple biopsies, there was a significant association of higher breast cancer risk among those with involution stasis (lack of progression, HR 1.63) as compared with those with involution progression, p = 0.036. Conclusions: The multiple biopsy BBD cohort allows for a longitudinal study of the natural progression of LI. The majority of women in the multiple biopsy cohort showed progression of LI status between benign biopsies, and extent of progression was highest for women who were in the perimenopausal age range at initial biopsy. Progression of LI status between initial and subsequent biopsy was associated with decreased breast cancer risk. Citation Format: Derek Radisky, Daniel W. Visscher, Ryan Frank, Robert A. Vierkant, Stacey J. Winham, Melody L. Stallings-Mann, Tanya L. Hoskin, Aziza Nassar, Celine M. Vachon, Lori A. Denison, Lynn C. Hartmann, Marlene H. Frost, Amy C. Degnim. Natural history of age-related lobular involution and impact on breast cancer risk. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-364.
Abstract 2636: Tumor-infiltrating cytotoxic T-cells are associated with improved survival of colorectal cancer patients

Cancer Research | July 26, 2016 | Volume: 76 | Issue: 14_Supplement | Pages: 2636-2636

10.1158/1538-7445.am2016-2636

Abstract Background: The immune response has been shown to impact the course of colorectal cancer (CRC). Our goal was to examine the survival of CRC patients in relation to tumor-infiltrating cytotoxic (CD8+) T lymphocytes (CTL). We quantified CTLs in tumor epithelial and stromal tissues and correlated them with clinicopathological characteristics and survival of CRC patients in the Iowa Women's Health Study. Methods: Paraffin-embedded tissue samples were available from 465 post-menopausal women diagnosed with incident CRC in 1986-2002. Tumor microarrays were constructed and immunostained with a CD8 antibody (Clone 144B; Dako). CTLs in tumor epithelial and stromal tissues were categorized by an experienced pathologist into non-detected; mild (1-10 cells per core); moderate (11-29 cells); and strong infiltration (≥30 cells per core), and averaged over cores per each person. We used Cox regression to estimate the hazard ratio (HR) and 95% CI for total and CRC death in relation to each CTL score after adjusting for age of diagnosis, SEER stage, grade, body mass, smoking history and integrated molecular pathway for CRC. The tumors were categorized by integrated pathway (traditional, alternate, serrated, unassigned) based on the combination of phenotypes: microsatellite instability (MSI) status, CpG island methylator (CIMP) phenotype; and mutations in BRAF and/or KRAS genes (described in Samadder, 2013). Results: During follow-up until 2011, 31% of participants died from CRC, 36% from all other causes, and 33% were alive (median follow-up: 8.4 y). The Spearman correlation coefficient between epithelial and stromal CTL scores was 0.52. Both scores were inversely correlated with stage at diagnosis and were higher in tumors characterized by MSI-high, CIMP-high and BRAF mutation-positive status. The highest categories in the epithelial and stromal scores were associated with statistically significant decreases in total death (by 44% and 40%, respectively) and CRC death (by 68% and 56%, respectively) compared to lowest categories. After summing epithelial and stromal CTL scores, the combined HRs (95% CI) in the highest versus lowest category were 0.55 (0.38-0.78) for total death (p-trend = 0.0002) and 0.36 (0.20-0.63) for CRC death (p-trend<0.0001). Additional adjustment for surgery, chemotherapy, radiation, and comorbidities did not markedly change the associations. Finally, there was a statistically significant quantitative interaction between stromal score and MSI status in relation to total and CRC death (P for interaction were 0.02 and 0.0001, respectively); HRs were lower for MSI-high than for MS-stable tumors. There was also a significant interaction between smoking status (current versus never) and epithelial CTL score: the HRs for total and CRC death were lowest among never smokers with the highest score. Conclusions. Our study further supports infiltration of tumors with CTLs as an important prognostic factor in CRC. Citation Format: Anna E. Prizment, Robert A. Vierkant, Thomas C. Smyrk, Lori S. Tillmans, Heather H. Nelson, Charles F. Lynch, Stephen N. Thibodeau, Timothy R. Church, James R. Cerhan, Kristin E. Anderson, Paul J. Limburg. Tumor-infiltrating cytotoxic T-cells are associated with improved survival of colorectal cancer patients. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2636.
Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer

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

10.18632/oncotarget.10215 | PMID 27533245

Extent of atypical hyperplasia stratifies breast cancer risk in 2 independent cohorts of women

Cancer | June 29, 2016 | Volume: 122 | Issue: 19 | Pages: 2971-2978

10.1002/cncr.30153 | PMID 27352219

BACKGROUNDWomen with atypical hyperplasia (AH) on breast biopsy have a substantially increased risk of breast cancer (BC). Here the BC risk for the extent and subtype of AH is reported for 2 separate cohorts.METHODSAll samples containing AH were included from 2 cohorts of women with benign breast disease (Mayo Clinic and Nashville). Histology review quantified the number of foci of atypical ductal hyperplasia (ADH) and atypical lobular hyperplasia (ALH). The BC risk was stratified for the number of AH foci within AH subtypes.RESULTSThe study included 708 Mayo AH subjects and 466 Nashville AH subjects. In the Mayo cohort, an increasing number of foci of AH was associated with a significant increase in the risk of BC both for ADH (relative risks of 2.61, 5.21, and 6.36 for 1, 2, and ≥3 foci, respectively; P for linear trend = .006) and for ALH (relative risks of 2.56, 3.50, and 6.79 for 1, 2, and ≥3 foci, respectively; P for linear trend = .001). In the Nashville cohort, the relative risks of BC for ADH were 2.70, 5.17, and 15.06 for 1, 2, and ≥3 foci, respectively (P for linear trend < .001); for ALH, the relative risks also increased but not significantly (2.61, 3.48, and 4.02, respectively; P = .148). When the Mayo and Nashville samples were combined, the risk increased significantly for 1, 2, and ≥3 foci: the relative risks were 2.65, 5.19, and 8.94, respectively, for ADH (P < .001) and 2.58, 3.49, and 4.97, respectively, for ALH (P = .001).CONCLUSIONSIn 2 independent cohort studies of benign breast disease, the extent of atypia stratified the long‐term BC risk for ADH and ALH. Cancer 2016;122:2971‐2978. © 2016 American Cancer Society.
Breast cancer risk by the extent and type of atypical hyperplasia

Cancer | June 28, 2016 | Volume: 122 | Issue: 19 | Pages: 3087-3088

10.1002/cncr.30151 | PMID 27352099

Chronic Recreational Physical Inactivity and Epithelial Ovarian Cancer Risk: Evidence from the Ovarian Cancer Association Consortium

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

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

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.
Assessment of Multifactor Gene–Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk Factors

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

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

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.