Clinical Pathology - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 6 of 6
  • Item
    No Preview Available
    Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk
    Tian, Y ; Kim, AE ; Bien, SA ; Lin, Y ; Qu, C ; Harrison, TA ; Carreras-Torres, R ; Diez-Obrero, V ; Dimou, N ; Drew, DA ; Hidaka, A ; Huyghe, JR ; Jordahl, KM ; Morrison, J ; Murphy, N ; Obon-Santacana, M ; Ulrich, CM ; Ose, J ; Peoples, AR ; Ruiz-Narvaez, EA ; Shcherbina, A ; Stern, MC ; Su, Y-R ; van Duijnhoven, FJB ; Arndt, V ; Baurley, JW ; Berndt, S ; Bishop, DT ; Brenner, H ; Buchanan, DD ; Chan, AT ; Figueiredo, JC ; Gallinger, S ; Gruber, SB ; Harlid, S ; Hoffmeister, M ; Jenkins, MA ; Joshi, AD ; Keku, TO ; Larsson, SC ; Le Marchand, L ; Li, L ; Giles, GG ; Milne, RL ; Nan, H ; Nassir, R ; Ogino, S ; Budiarto, A ; Platz, EA ; Potter, JD ; Prentice, RL ; Rennert, G ; Sakoda, LC ; Schoen, RE ; Slattery, ML ; Thibodeau, SN ; Van Guelpen, B ; Visvanathan, K ; White, E ; Wolk, A ; Woods, MO ; Wu, AH ; Campbell, PT ; Casey, G ; Conti, D ; Gunter, MJ ; Kundaje, A ; Lewinger, JP ; Moreno, V ; Newcomb, PA ; Pardamean, B ; Thomas, DC ; Tsilidis, KK ; Peters, U ; Gauderman, WJ ; Hsu, L ; Chang-Claude, J (OXFORD UNIV PRESS INC, 2022-08-08)
    BACKGROUND: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.
  • Item
    Thumbnail Image
    Genetic variants associated with circulating C-reactive protein levels and colorectal cancer survival: Sex-specific and lifestyle factors specific associations
    Huang, Y ; Hua, X ; Labadie, JD ; Harrison, TA ; Dai, JY ; Lindstrom, S ; Lin, Y ; Berndt, S ; Buchanan, DD ; Campbell, PT ; Casey, G ; Gallinger, SJ ; Gunter, MJ ; Hoffmeister, M ; Jenkins, MA ; Sakoda, LC ; Schoen, RE ; Diergaarde, B ; Slattery, ML ; White, E ; Giles, G ; Brenner, H ; Chang-Claude, J ; Joshi, A ; Ma, W ; Pai, RK ; Chan, AT ; Peters, U ; Newcomb, PA (WILEY, 2022-05-01)
    Elevated blood levels of C-reactive protein (CRP) have been linked to colorectal cancer (CRC) survival. We evaluated genetic variants associated with CRP levels and their interactions with sex and lifestyle factors in association with CRC-specific mortality. Our study included 16 142 CRC cases from the International Survival Analysis in Colorectal Cancer Consortium. We identified 618 common single nucleotide polymorphisms (SNPs) associated with CRP levels from the NHGRI-EBI GWAS Catalog. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between SNPs and CRC-specific mortality adjusting for age, sex, genotyping platform/study and principal components. We investigated their interactions with sex and lifestyle factors using likelihood ratio tests. Of 5472 (33.9%) deaths accrued over up to 10 years of follow-up, 3547 (64.8%) were due to CRC. No variants were associated with CRC-specific mortality after multiple comparison correction. We observed strong evidence of interaction between variant rs1933736 at FRK gene and sex in relation to CRC-specific mortality (corrected Pinteraction  = .0004); women had higher CRC-specific mortality associated with the minor allele (HR = 1.11, 95% CI = 1.04-1.19) whereas an inverse association was observed for men (HR = 0.88, 95% CI = 0.82-0.94). There was no evidence of interactions between CRP-associated SNPs and alcohol, obesity or smoking. Our study observed a significant interaction between sex and a CRP-associated variant in relation to CRC-specific mortality. Future replication of this association and functional annotation of the variant are needed.
  • Item
    Thumbnail Image
    Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
    Haas, CB ; Su, Y-R ; Petersen, P ; Wang, X ; Bien, SA ; Lin, Y ; Albanes, D ; Weinstein, SJ ; Jenkins, MA ; Figueiredo, JC ; Newcomb, PA ; Casey, G ; Le Marchand, L ; Campbell, PT ; Moreno, V ; Potter, JD ; Sakoda, LC ; Slattery, ML ; Chan, AT ; Li, L ; Giles, GG ; Milne, RL ; Gruber, SB ; Rennert, G ; Woods, MO ; Gallinger, SJ ; Berndt, S ; Hayes, RB ; Huang, W-Y ; Wolk, A ; White, E ; Nan, H ; Nassir, R ; Lindor, NM ; Lewinger, JP ; Kim, AE ; Conti, D ; Gauderman, WJ ; Buchanan, DD ; Peters, U ; Hsu, L (NATURE PORTFOLIO, 2022-11-07)
    Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E-4), and Aspartylglucosaminidase (AGA: p = 4.5E-4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.
  • Item
    Thumbnail Image
    Identifying colorectal cancer caused by biallelic MUTYH pathogenic variants using tumor mutational signatures
    Georgeson, P ; Harrison, TA ; Pope, BJ ; Zaidi, SH ; Qu, C ; Steinfelder, RS ; Lin, Y ; Joo, JE ; Mahmood, K ; Clendenning, M ; Walker, R ; Amitay, EL ; Berndt, S ; Brenner, H ; Campbell, PT ; Cao, Y ; Chan, AT ; Chang-Claude, J ; Doheny, KF ; Drew, DA ; Figueiredo, JC ; French, AJ ; Gallinger, S ; Giannakis, M ; Giles, GG ; Gsur, A ; Gunter, MJ ; Hoffmeister, M ; Hsu, L ; Huang, W-Y ; Limburg, P ; Manson, JE ; Moreno, V ; Nassir, R ; Nowak, JA ; Obon-Santacana, M ; Ogino, S ; Phipps, A ; Potter, JD ; Schoen, RE ; Sun, W ; Toland, AE ; Trinh, QM ; Ugai, T ; Macrae, FA ; Rosty, C ; Hudson, TJ ; Jenkins, MA ; Thibodeau, SN ; Winship, IM ; Peters, U ; Buchanan, DD (NATURE PORTFOLIO, 2022-06-06)
    Carriers of germline biallelic pathogenic variants in the MUTYH gene have a high risk of colorectal cancer. We test 5649 colorectal cancers to evaluate the discriminatory potential of a tumor mutational signature specific to MUTYH for identifying biallelic carriers and classifying variants of uncertain clinical significance (VUS). Using a tumor and matched germline targeted multi-gene panel approach, our classifier identifies all biallelic MUTYH carriers and all known non-carriers in an independent test set of 3019 colorectal cancers (accuracy = 100% (95% confidence interval 99.87-100%)). All monoallelic MUTYH carriers are classified with the non-MUTYH carriers. The classifier provides evidence for a pathogenic classification for two VUS and a benign classification for five VUS. Somatic hotspot mutations KRAS p.G12C and PIK3CA p.Q546K are associated with colorectal cancers from biallelic MUTYH carriers compared with non-carriers (p = 2 × 10-23 and p = 6 × 10-11, respectively). Here, we demonstrate the potential application of mutational signatures to tumor sequencing workflows to improve the identification of biallelic MUTYH carriers.
  • Item
    Thumbnail Image
    Diabetes mellitus in relation to colorectal tumor molecular subtypes: A pooled analysis of more than 9000 cases
    Harlid, S ; Van Guelpen, B ; Qu, C ; Gylling, B ; Aglago, EK ; Amitay, EL ; Brenner, H ; Buchanan, DD ; Campbell, PT ; Cao, Y ; Chan, AT ; Chang-Claude, J ; Drew, DA ; Figueiredo, JC ; French, AJ ; Gallinger, S ; Giannakis, M ; Giles, GG ; Gunter, MJ ; Hoffmeister, M ; Hsu, L ; Jenkins, MA ; Lin, Y ; Moreno, V ; Murphy, N ; Newcomb, PA ; Newton, CC ; Nowak, JA ; Obon-Santacana, M ; Ogino, S ; Potter, JD ; Song, M ; Steinfelder, RS ; Sun, W ; Thibodeau, SN ; Toland, AE ; Ugai, T ; Um, CY ; Woods, MO ; Phipps, A ; Harrison, T ; Peters, U (WILEY, 2022-08-01)
    Diabetes is an established risk factor for colorectal cancer. However, colorectal cancer is a heterogeneous disease and it is not well understood whether diabetes is more strongly associated with some tumor molecular subtypes than others. A better understanding of the association between diabetes and colorectal cancer according to molecular subtypes could provide important insights into the biology of this association. We used data on lifestyle and clinical characteristics from the Colorectal Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), including 9756 colorectal cancer cases (with tumor marker data) and 9985 controls, to evaluate associations between reported diabetes and risk of colorectal cancer according to molecular subtypes. Tumor markers included BRAF and KRAS mutations, microsatellite instability and CpG island methylator phenotype. In the multinomial logistic regression model, comparing colorectal cancer cases to cancer-free controls, diabetes was positively associated with colorectal cancer regardless of subtype. The highest OR estimate was found for BRAF-mutated colorectal cancer, n = 1086 (ORfully adj : 1.67, 95% confidence intervals [CI]: 1.36-2.05), with an attenuated association observed between diabetes and colorectal cancer without BRAF-mutations, n = 7959 (ORfully adj : 1.33, 95% CI: 1.19-1.48). In the case only analysis, BRAF-mutation was differentially associated with diabetes (Pdifference  = .03). For the other markers, associations with diabetes were similar across tumor subtypes. In conclusion, our study confirms the established association between diabetes and colorectal cancer risk, and suggests that it particularly increases the risk of BRAF-mutated tumors.
  • Item
    Thumbnail Image
    Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival
    Labadie, JD ; Savas, S ; Harrison, TA ; Banbury, B ; Huang, Y ; Buchanan, DD ; Campbell, PT ; Gallinger, SJ ; Giles, GG ; Gunter, MJ ; Hoffmeister, M ; Hsu, L ; Jenkins, MA ; Lin, Y ; Ogino, S ; Phipps, A ; Slattery, ML ; Steinfelder, RS ; Sun, W ; Van Guelpen, B ; Hua, X ; Figuieredo, JC ; Pai, RK ; Nassir, R ; Qi, L ; Chan, AT ; Peters, U ; Newcomb, PA (NATURE PORTFOLIO, 2022-01-07)
    Identification of new genetic markers may improve the prediction of colorectal cancer prognosis. Our objective was to examine genome-wide associations of germline genetic variants with disease-specific survival in an analysis of 16,964 cases of colorectal cancer. We analyzed genotype and colorectal cancer-specific survival data from a consortium of 15 studies. Approximately 7.5 million SNPs were examined under the log-additive model using Cox proportional hazards models, adjusting for clinical factors and principal components. Additionally, we ran secondary analyses stratifying by tumor site and disease stage. We used a genome-wide p-value threshold of 5 × 10-8 to assess statistical significance. No variants were statistically significantly associated with disease-specific survival in the full case analysis or in the stage-stratified analyses. Three SNPs were statistically significantly associated with disease-specific survival for cases with tumors located in the distal colon (rs698022, HR = 1.48, CI 1.30-1.69, p = 8.47 × 10-9) and the proximal colon (rs189655236, HR = 2.14, 95% CI 1.65-2.77, p = 9.19 × 10-9 and rs144717887, HR = 2.01, 95% CI 1.57-2.58, p = 3.14 × 10-8), whereas no associations were detected for rectal tumors. Findings from this large genome-wide association study highlight the potential for anatomical-site-stratified genome-wide studies to identify germline genetic risk variants associated with colorectal cancer-specific survival. Larger sample sizes and further replication efforts are needed to more fully interpret these findings.