Clinical Pathology - Research Publications

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    Intratumoral presence of the genotoxic gut bacteria pks+ E. coli, Enterotoxigenic Bacteroides fragilis, and Fusobacterium nucleatum and their association with clinicopathological and molecular features of colorectal cancer
    Joo, JE ; Chu, YL ; Georgeson, P ; Walker, R ; Mahmood, K ; Clendenning, M ; Meyers, AL ; Como, J ; Joseland, S ; Preston, SG ; Diepenhorst, N ; Toner, J ; Ingle, DJ ; Sherry, NL ; Metz, A ; Lynch, BM ; Milne, RL ; Southey, MC ; Hopper, JL ; Win, AK ; Macrae, FA ; Winship, IM ; Rosty, C ; Jenkins, MA ; Buchanan, DD (Springer Nature, 2024)
    Background: This study aimed to investigate clinicopathological and molecular tumour features associated with intratumoral pks+ Escherichia coli (pks+E.coli+), pks+E.coli- (non-E.coli bacteria harbouring the pks island), Enterotoxigenic Bacteroides fragilis (ETBF) and Fusobacterium nucleatum (F. nucleatum). Methods: We screened 1697 tumour-derived DNA samples from the Australasian Colorectal Cancer Family Registry, Melbourne Collaborative Cohort Study and the ANGELS study using targeted PCR. Results: Pks+E.coli+ was associated with male sex (P < 0.01) and APC:c.835-8 A > G somatic mutation (P = 0.03). The association between pks+E.coli+ and APC:c.835-8 A > G was specific to early-onset CRCs (diagnosed<45years, P = 0.02). The APC:c.835-A > G was not associated with pks+E.coli- (P = 0.36). F. nucleatum was associated with DNA mismatch repair deficiency (MMRd), BRAF:c.1799T>A p.V600E mutation, CpG island methylator phenotype, proximal tumour location, and high levels of tumour infiltrating lymphocytes (Ps < 0.01). In the stratified analysis by MMRd subgroups, F. nucleatum was associated with Lynch syndrome, MLH1 methylated and double MMR somatic mutated MMRd subgroups (Ps < 0.01). Conclusion: Intratumoral pks+E.coli+ but not pks+E.coli- are associated with CRCs harbouring the APC:c.835-8 A > G somatic mutation, suggesting that this mutation is specifically related to DNA damage from colibactin-producing E.coli exposures. F. nucleatum was associated with both hereditary and sporadic MMRd subtypes, suggesting the MMRd tumour microenvironment is important for F. nucleatum colonisation irrespective of its cause.
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    Does genetic predisposition modify the effect of lifestyle-related factors on DNA methylation?
    Yu, C ; Hodge, AM ; Wong, EM ; Joo, JE ; Makalic, E ; Schmidt, DF ; Buchanan, DD ; Severi, G ; Hopper, JL ; English, DR ; Giles, GG ; Milne, RL ; Southey, MC ; Dugue, P-A (TAYLOR & FRANCIS INC, 2022-12-02)
    Lifestyle-related phenotypes have been shown to be heritable and associated with DNA methylation. We aimed to investigate whether genetic predisposition to tobacco smoking, alcohol consumption, and higher body mass index (BMI) moderates the effect of these phenotypes on blood DNA methylation. We calculated polygenic scores (PGS) to quantify genetic predisposition to these phenotypes using training (N = 7,431) and validation (N = 4,307) samples. Using paired genetic-methylation data (N = 4,307), gene-environment interactions (i.e., PGS × lifestyle) were assessed using linear mixed-effects models with outcomes: 1) methylation at sites found to be strongly associated with smoking (1,061 CpGs), alcohol consumption (459 CpGs), and BMI (85 CpGs) and 2) two epigenetic ageing measures, PhenoAge and GrimAge. In the validation sample, PGS explained ~1.4% (P = 1 × 10-14), ~0.6% (P = 2 × 10-7), and ~8.7% (P = 7 × 10-87) of variance in smoking initiation, alcohol consumption, and BMI, respectively. Nominally significant interaction effects (P < 0.05) were found at 61, 14, and 7 CpGs for smoking, alcohol consumption, and BMI, respectively. There was strong evidence that all lifestyle-related phenotypes were positively associated with PhenoAge and GrimAge, except for alcohol consumption with PhenoAge. There was weak evidence that the association of smoking with GrimAge was attenuated in participants genetically predisposed to smoking (interaction term: -0.022, standard error [SE] = 0.012, P = 0.058) and that the association of alcohol consumption with PhenoAge was attenuated in those genetically predisposed to drink alcohol (interaction term: -0.030, SE = 0.015, P = 0.041). In conclusion, genetic susceptibility to unhealthy lifestyles did not strongly modify the association between observed lifestyle behaviour and blood DNA methylation. Potential associations were observed for epigenetic ageing measures, which should be replicated in additional studies.
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    Methylation scores for smoking, alcohol consumption and body mass index and risk of seven types of cancer
    Dugue, P-A ; Yu, C ; Hodge, AMM ; Wong, EM ; Joo, JEE ; Jung, C-H ; Schmidt, D ; Makalic, E ; Buchanan, DDD ; Severi, G ; English, DRR ; Hopper, JLL ; Milne, RLL ; Giles, GGG ; Southey, MCC (WILEY, 2023-08-01)
    Methylation marks of exposure to health risk factors may be useful markers of cancer risk as they might better capture current and past exposures than questionnaires, and reflect different individual responses to exposure. We used data from seven case-control studies nested within the Melbourne Collaborative Cohort Study of blood DNA methylation and risk of colorectal, gastric, kidney, lung, prostate and urothelial cancer, and B-cell lymphoma (N cases = 3123). Methylation scores (MS) for smoking, body mass index (BMI), and alcohol consumption were calculated based on published data as weighted averages of methylation values. Rate ratios (RR) and 95% confidence intervals for association with cancer risk were estimated using conditional logistic regression and expressed per SD increase of the MS, with and without adjustment for health-related confounders. The contribution of MS to discriminate cases from controls was evaluated using the area under the curve (AUC). After confounder adjustment, we observed: large associations (RR = 1.5-1.7) with lung cancer risk for smoking MS; moderate associations (RR = 1.2-1.3) with urothelial cancer risk for smoking MS and with mature B-cell neoplasm risk for BMI and alcohol MS; moderate to small associations (RR = 1.1-1.2) for BMI and alcohol MS with several cancer types and cancer overall. Generally small AUC increases were observed after inclusion of several MS in the same model (colorectal, gastric, kidney, urothelial cancers: +3%; lung cancer: +7%; B-cell neoplasms: +8%). Methylation scores for smoking, BMI and alcohol consumption show independent associations with cancer risk, and may provide some improvements in risk prediction.
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    DNA methylation-based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies
    Dugue, P-A ; Bassett, JK ; Joo, JE ; Jung, C-H ; Wong, EM ; Moreno-Betancur, M ; Schmidt, D ; Makalic, E ; Li, S ; Severi, G ; Hodge, AM ; Buchanan, DD ; English, DR ; Hopper, JL ; Southey, MC ; Giles, GG ; Milne, RL (WILEY, 2018-04-15)
    The association between aging and cancer is complex. Recent studies have developed measures of biological aging based on DNA methylation and called them "age acceleration." We aimed to assess the associations of age acceleration with risk of and survival from seven common cancers. Seven case-control studies of DNA methylation and colorectal, gastric, kidney, lung, prostate and urothelial cancer and B-cell lymphoma nested in the Melbourne Collaborative Cohort Study were conducted. Cancer cases, vital status and cause of death were ascertained through linkage with cancer and death registries. Conditional logistic regression and Cox models were used to estimate odds ratios (OR) and hazard ratios (HR) and 95% confidence intervals (CI) for associations of five age acceleration measures derived from the Human Methylation 450 K Beadchip assay with cancer risk (N = 3,216 cases) and survival (N = 1,726 deaths), respectively. Epigenetic aging was associated with increased cancer risk, ranging from 4% to 9% per five-year age acceleration for the 5 measures considered. Heterogeneity by study was observed, with stronger associations for risk of kidney cancer and B-cell lymphoma. An associated increased risk of death following cancer diagnosis ranged from 2% to 6% per five-year age acceleration, with no evidence of heterogeneity by cancer site. Cancer risk and mortality were increased by 15-30% for the fourth versus first quartile of age acceleration. DNA methylation-based measures of biological aging are associated with increased cancer risk and shorter cancer survival, independently of major health risk factors.
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    Associations of alcohol intake, smoking, physical activity and obesity with survival following colorectal cancer diagnosis by stage, anatomic site and tumor molecular subtype
    Jayasekara, H ; English, DR ; Haydon, A ; Hodge, AM ; Lynch, BM ; Rosty, C ; Williamson, EJ ; Clendenning, M ; Southey, MC ; Jenkins, MA ; Room, R ; Hopper, JL ; Milne, RL ; Buchanan, DD ; Giles, GG ; MacInnis, RJ (WILEY, 2018-01-15)
    The influence of lifestyle factors on survival following a diagnosis of colorectal cancer (CRC) is not well established. We examined associations between lifestyle factors measured before diagnosis and CRC survival. The Melbourne Collaborative Cohort Study collected data on alcohol intake, cigarette smoking and physical activity, and body measurements at baseline (1990-1994) and wave 2 (2003-2007). We included participants diagnosed to 31 August 2015 with incident stages I-III CRC within 10-years post exposure assessment. Information on tumor characteristics and vital status was obtained. Tumor DNA was tested for microsatellite instability (MSI) and somatic mutations in oncogenes BRAF (V600E) and KRAS. We estimated hazard ratios (HRs) for associations between lifestyle factors and overall and CRC-specific mortality using Cox regression. Of 724 eligible CRC cases, 339 died (170 from CRC) during follow-up (average 9.0 years). Exercise (non-occupational/leisure-time) was associated with higher CRC-specific survival for stage II (HR = 0.25, 95% CI: 0.10-0.60) but not stages I/III disease (p for interaction = 0.01), and possibly for colon and KRAS wild-type tumors. Waist circumference was inversely associated with CRC-specific survival (HR = 1.25 per 10 cm increment, 95% CI: 1.08-1.44), independent of stage, anatomic site and tumor molecular status. Cigarette smoking was associated with lower overall survival, with suggestive evidence of worse survival for BRAF mutated CRC, but not with CRC-specific survival. Alcohol intake was not associated with survival. Survival did not differ by MSI status. We have identified pre-diagnostic predictors of survival following CRC that may have clinical and public health relevance.
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    Lifetime alcohol intake is associated with an increased risk of KRAS plus and BRAF-/KRAS- but not BRAF plus colorectal cancer
    Jayasekara, H ; MacInnis, RJ ; Williamson, EJ ; Hodge, AM ; Clendenning, M ; Rosty, C ; Walters, R ; Room, R ; Southey, MC ; Jenkins, MA ; Milne, RL ; Hopper, JL ; Giles, GG ; Buchanan, DD ; English, DR (WILEY, 2017-04)
    Ethanol in alcoholic beverages is a causative agent for colorectal cancer. Colorectal cancer is a biologically heterogeneous disease, and molecular subtypes defined by the presence of somatic mutations in BRAF and KRAS are known to exist. We examined associations between lifetime alcohol intake and molecular and anatomic subtypes of colorectal cancer. We calculated usual alcohol intake for 10-year periods from age 20 using recalled frequency and quantity of beverage-specific consumption for 38,149 participants aged 40-69 years from the Melbourne Collaborative Cohort Study. Cox regression was performed to derive hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between lifetime alcohol intake and colorectal cancer risk. Heterogeneity in the HRs across subtypes of colorectal cancer was assessed. A positive dose-dependent association between lifetime alcohol intake and overall colorectal cancer risk (mean follow-up = 14.6 years; n = 596 colon and n = 326 rectal cancer) was observed (HR = 1.08, 95% CI: 1.04-1.12 per 10 g/day increment). The risk was greater for rectal than colon cancer (phomogeneity  = 0.02). Alcohol intake was associated with increased risks of KRAS+ (HR = 1.07, 95% CI: 1.00-1.15) and BRAF-/KRAS- (HR = 1.05, 95% CI: 1.00-1.11) but not BRAF+ tumors (HR = 0.89, 95% CI: 0.78-1.01; phomogeneity  = 0.01). Alcohol intake is associated with an increased risk of KRAS+ and BRAF-/KRAS- tumors originating via specific molecular pathways including the traditional adenoma-carcinoma pathway but not with BRAF+ tumors originating via the serrated pathway. Therefore, limiting alcohol intake from a young age might reduce colorectal cancer originating via the traditional adenoma-carcinoma pathway.
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    DNA Methylation Signatures and the Contribution of Age-Associated Methylomic Drift to Carcinogenesis in Early-Onset Colorectal Cancer
    Joo, JE ; Clendenning, M ; Wong, EM ; Rosty, C ; Mahmood, K ; Georgeson, P ; Winship, IM ; Preston, SG ; Win, AK ; Dugue, P-A ; Jayasekara, H ; English, D ; Macrae, FA ; Hopper, JL ; Jenkins, MA ; Milne, RL ; Giles, GG ; Southey, MC ; Buchanan, DD (MDPI, 2021-06)
    We investigated aberrant DNA methylation (DNAm) changes and the contribution of ageing-associated methylomic drift and age acceleration to early-onset colorectal cancer (EOCRC) carcinogenesis. Genome-wide DNAm profiling using the Infinium HM450K on 97 EOCRC tumour and 54 normal colonic mucosa samples was compared with: (1) intermediate-onset CRC (IOCRC; diagnosed between 50-70 years; 343 tumour and 35 normal); and (2) late-onset CRC (LOCRC; >70 years; 318 tumour and 40 normal). CpGs associated with age-related methylation drift were identified using a public dataset of 231 normal mucosa samples from people without CRC. DNAm-age was estimated using epiTOC2. Common to all three age-of-onset groups, 88,385 (20% of all CpGs) CpGs were differentially methylated between tumour and normal mucosa. We identified 234 differentially methylated genes that were unique to the EOCRC group; 13 of these DMRs/genes were replicated in EOCRC compared with LOCRCs from TCGA. In normal mucosa from people without CRC, we identified 28,154 CpGs that undergo ageing-related DNAm drift, and of those, 65% were aberrantly methylated in EOCRC tumours. Based on the mitotic-based DNAm clock epiTOC2, we identified age acceleration in normal mucosa of people with EOCRC compared with normal mucosa from the IOCRC, LOCRC groups (p = 3.7 × 10-16) and young people without CRC (p = 5.8 × 10-6). EOCRC acquires unique DNAm alterations at 234 loci. CpGs associated with ageing-associated drift were widely affected in EOCRC without needing the decades-long accrual of DNAm drift as commonly seen in intermediate- and late-onset CRCs. Accelerated ageing in normal mucosa from people with EOCRC potentially underlies the earlier age of diagnosis in CRC carcinogenesis.
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    The MLH1 polymorphism rs1800734 and risk of endometrial cancer with microsatellite instability (vol 12, 102, 2020)
    Russell, H ; Kedzierska, K ; Buchanan, DD ; Thomas, R ; Tham, E ; Mints, M ; Keranen, A ; Giles, GG ; Southey, MC ; Milne, RL ; Tomlinson, I ; Church, D ; Spurdle, AB ; O'Mara, TA ; Lewis, A (BMC, 2021-04-01)
    An amendment to this paper has been published and can be accessed via the original article.
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    Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer
    Kho, P-F ; Amant, F ; Annibali, D ; Ashton, K ; Attia, J ; Auer, PL ; Beckmann, MW ; Black, A ; Brinton, L ; Buchanan, DD ; Chanock, SJ ; Chen, C ; Chen, MM ; Cheng, THT ; Cook, LS ; Crous-Bous, M ; Czene, K ; De Vivo, I ; Dennis, J ; Doerk, T ; Dowdy, SC ; Dunning, AM ; Duerst, M ; Easton, DF ; Ekici, AB ; Fasching, PA ; Fridley, BL ; Friedenreich, CM ; Garcia-Closas, M ; Gaudet, MM ; Giles, GG ; Goode, EL ; Gorman, M ; Haiman, CA ; Hall, P ; Hankinson, SE ; Hein, A ; Hillemanns, P ; Hodgson, S ; Hoivik, EA ; Holliday, EG ; Hunter, DJ ; Jones, A ; Kraft, P ; Krakstad, C ; Lambrechts, D ; Le Marchand, L ; Liang, X ; Lindblom, A ; Lissowska, J ; Long, J ; Lu, L ; Magliocco, AM ; Martin, L ; McEvoy, M ; Milne, RL ; Mints, M ; Nassir, R ; Otton, G ; Palles, C ; Pooler, L ; Proietto, T ; Rebbeck, TR ; Renner, SP ; Risch, HA ; Ruebner, M ; Runnebaum, I ; Sacerdote, C ; Sarto, GE ; Schumacher, F ; Scott, RJ ; Setiawan, VW ; Shah, M ; Sheng, X ; Shu, X-O ; Southey, MC ; Tham, E ; Tomlinson, I ; Trovik, J ; Turman, C ; Tyrer, JP ; van den Berg, D ; Wang, Z ; Wentzensen, N ; Xia, L ; Xiang, Y-B ; Yang, HP ; Yu, H ; Zheng, W ; Webb, PM ; Thompson, DJ ; Spurdle, AB ; Glubb, DM ; O'Mara, TA (WILEY, 2021-01-15)
    Blood lipids have been associated with the development of a range of cancers, including breast, lung and colorectal cancer. For endometrial cancer, observational studies have reported inconsistent associations between blood lipids and cancer risk. To reduce biases from unmeasured confounding, we performed a bidirectional, two-sample Mendelian randomization analysis to investigate the relationship between levels of three blood lipids (low-density lipoprotein [LDL] and high-density lipoprotein [HDL] cholesterol, and triglycerides) and endometrial cancer risk. Genetic variants associated with each of these blood lipid levels (P < 5 × 10-8 ) were identified as instrumental variables, and assessed using genome-wide association study data from the Endometrial Cancer Association Consortium (12 906 cases and 108 979 controls) and the Global Lipids Genetic Consortium (n = 188 578). Mendelian randomization analyses found genetically raised LDL cholesterol levels to be associated with lower risks of endometrial cancer of all histologies combined, and of endometrioid and non-endometrioid subtypes. Conversely, higher genetically predicted HDL cholesterol levels were associated with increased risk of non-endometrioid endometrial cancer. After accounting for the potential confounding role of obesity (as measured by genetic variants associated with body mass index), the association between genetically predicted increased LDL cholesterol levels and lower endometrial cancer risk remained significant, especially for non-endometrioid endometrial cancer. There was no evidence to support a role for triglycerides in endometrial cancer development. Our study supports a role for LDL and HDL cholesterol in the development of non-endometrioid endometrial cancer. Further studies are required to understand the mechanisms underlying these findings.
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    Identification of nine new susceptibility loci for endometrial cancer
    O'Mara, TA ; Glubb, DM ; Amant, F ; Annibali, D ; Ashton, K ; Attia, J ; Auer, PL ; Beckmann, MW ; Black, A ; Bolla, MK ; Brauch, H ; Brenner, H ; Brinton, L ; Buchanan, DD ; Burwinkel, B ; Chang-Claude, J ; Chanock, SJ ; Chen, C ; Chen, MM ; Cheng, THT ; Clarke, CL ; Clendenning, M ; Cook, LS ; Couch, FJ ; Cox, A ; Crous-Bous, M ; Czene, K ; Day, F ; Dennis, J ; Depreeuw, J ; Doherty, JA ; Dork, T ; Dowdy, SC ; Duerst, M ; Ekici, AB ; Fasching, PA ; Fridley, BL ; Friedenreich, CM ; Fritschi, L ; Fung, J ; Garcia-Closas, M ; Gaudet, MM ; Giles, GG ; Goode, EL ; Gorman, M ; Haiman, CA ; Hall, P ; Hankison, SE ; Healey, CS ; Hein, A ; Hillemanns, P ; Hodgson, S ; Hoivik, EA ; Holliday, EG ; Hopper, JL ; Hunter, DJ ; Jones, A ; Krakstad, C ; Kristensen, VN ; Lambrechts, D ; Le Marchand, L ; Liang, X ; Lindblom, A ; Lissowska, J ; Long, J ; Lu, L ; Magliocco, AM ; Martin, L ; McEvoy, M ; Meindl, A ; Michailidou, K ; Milne, RL ; Mints, M ; Montgomery, GW ; Nassir, R ; Olsson, H ; Orlow, I ; Otton, G ; Palles, C ; Perry, JRB ; Peto, J ; Pooler, L ; Prescott, J ; Proietto, T ; Rebbeck, TR ; Risch, HA ; Rogers, PAW ; Ruebner, M ; Runnebaum, I ; Sacerdote, C ; Sarto, GE ; Schumacher, F ; Scott, RJ ; Setiawan, VW ; Shah, M ; Sheng, X ; Shu, X-O ; Southey, MC ; Swerdlow, AJ ; Tham, E ; Trovik, J ; Turman, C ; Tyrer, JP ; Vachon, C ; Vanden Berg, D ; Vanderstichele, A ; Wang, Z ; Webb, PM ; Wentzensen, N ; Werner, HMJ ; Winham, SJ ; Wolk, A ; Xia, L ; Xiang, Y-B ; Yang, HP ; Yu, H ; Zheng, W ; Pharoah, PDP ; Dunning, AM ; Kraft, P ; De Vivo, I ; Tomlinson, I ; Easton, DF ; Spurdle, AB ; Thompson, DJ (NATURE PUBLISHING GROUP, 2018-08-09)
    Endometrial cancer is the most commonly diagnosed cancer of the female reproductive tract in developed countries. Through genome-wide association studies (GWAS), we have previously identified eight risk loci for endometrial cancer. Here, we present an expanded meta-analysis of 12,906 endometrial cancer cases and 108,979 controls (including new genotype data for 5624 cases) and identify nine novel genome-wide significant loci, including a locus on 12q24.12 previously identified by meta-GWAS of endometrial and colorectal cancer. At five loci, expression quantitative trait locus (eQTL) analyses identify candidate causal genes; risk alleles at two of these loci associate with decreased expression of genes, which encode negative regulators of oncogenic signal transduction proteins (SH2B3 (12q24.12) and NF1 (17q11.2)). In summary, this study has doubled the number of known endometrial cancer risk loci and revealed candidate causal genes for future study.