Clinical Pathology - Research Publications

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    Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries
    Fernandez-Rozadilla, C ; Timofeeva, M ; Chen, Z ; Law, P ; Thomas, M ; Bien, S ; Diez-Obrero, V ; Li, L ; Fernandez-Tajes, J ; Palles, C ; Sherwood, K ; Harris, S ; Svinti, V ; McDonnell, K ; Farrington, S ; Studd, J ; Vaughan-Shaw, P ; Shu, X-O ; Long, J ; Cai, Q ; Guo, X ; Lu, Y ; Scacheri, P ; Studd, J ; Huyghe, J ; Harrison, T ; Shibata, D ; Haiman, C ; Devall, M ; Schumacher, F ; Melas, M ; Rennert, G ; Obon-Santacana, M ; Martin-Sanchez, V ; Moratalla-Navarro, F ; Oh, JH ; Kim, J ; Jee, SH ; Jung, KJ ; Kweon, S-S ; Shin, M-H ; Shin, A ; Ahn, Y-O ; Kim, D-H ; Oze, I ; Wen, W ; Matsuo, K ; Matsuda, K ; Tanikawa, C ; Ren, Z ; Gao, Y-T ; Jia, W-H ; Potter, J ; Jenkins, M ; Win, AK ; Pai, R ; Figueiredo, J ; Haile, R ; Gallinger, S ; Woods, M ; Newcomb, P ; Shibata, D ; Cheadle, J ; Kaplan, R ; Maughan, T ; Kerr, R ; Kerr, D ; Kirac, I ; Boehm, J ; Mecklin, L-P ; Jousilahti, P ; Knekt, P ; Aaltonen, L ; Rissanen, H ; Pukkala, E ; Eriksson, J ; Cajuso, T ; Hanninen, U ; Kondelin, J ; Palin, K ; Tanskanen, T ; Renkonen-Sinisalo, L ; Zanke, B ; Mannisto, S ; Albanes, D ; Weinstein, S ; Ruiz-Narvaez, E ; Palmer, J ; Buchanan, D ; Platz, E ; Visvanathan, K ; Ulrich, C ; Siegel, E ; Brezina, S ; Gsur, A ; Campbell, P ; Chang-Claude, J ; Hoffmeister, M ; Brenner, H ; Slattery, M ; Potter, J ; Tsilidis, K ; Schulze, M ; Gunter, M ; Murphy, N ; Castells, A ; Castellvi-Bel, S ; Moreira, L ; Arndt, V ; Shcherbina, A ; Stern, M ; Pardamean, B ; Bishop, T ; Giles, G ; Southey, M ; Idos, G ; McDonnell, K ; Abu-Ful, Z ; Greenson, J ; Shulman, K ; Lejbkowicz, F ; Offit, K ; Su, Y-R ; Steinfelder, R ; Keku, T ; van Guelpen, B ; Hudson, T ; Hampel, H ; Pearlman, R ; Berndt, S ; Hayes, R ; Martinez, ME ; Thomas, S ; Corley, D ; Pharoah, P ; Larsson, S ; Yen, Y ; Lenz, H-J ; White, E ; Li, L ; Doheny, K ; Pugh, E ; Shelford, T ; Chan, A ; Cruz-Correa, M ; Lindblom, A ; Shibata, D ; Joshi, A ; Schafmayer, C ; Scacheri, P ; Kundaje, A ; Nickerson, D ; Schoen, R ; Hampe, J ; Stadler, Z ; Vodicka, P ; Vodickova, L ; Vymetalkova, V ; Papadopoulos, N ; Edlund, C ; Gauderman, W ; Thomas, D ; Shibata, D ; Toland, A ; Markowitz, S ; Kim, A ; Gruber, S ; van Duijnhoven, F ; Feskens, E ; Sakoda, L ; Gago-Dominguez, M ; Wolk, A ; Naccarati, A ; Pardini, B ; FitzGerald, L ; Lee, SC ; Ogino, S ; Bien, S ; Kooperberg, C ; Li, C ; Lin, Y ; Prentice, R ; Qu, C ; Bezieau, S ; Tangen, C ; Mardis, E ; Yamaji, T ; Sawada, N ; Iwasaki, M ; Haiman, C ; Le Marchand, L ; Wu, A ; Qu, C ; McNeil, C ; Coetzee, G ; Hayward, C ; Deary, I ; Harris, S ; Theodoratou, E ; Reid, S ; Walker, M ; Ooi, LY ; Moreno, V ; Casey, G ; Gruber, S ; Tomlinson, I ; Zheng, W ; Dunlop, M ; Houlston, R ; Peters, U (NATURE PORTFOLIO, 2023-01)
    Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector genes most probably act outside the colonic mucosa. Our findings provide insights into colorectal oncogenesis and highlight potential targets across tissues for new CRC treatment and chemoprevention strategies.
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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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    Salicylic Acid and Risk of Colorectal Cancer: A Two-Sample Mendelian Randomization Study
    Nounu, A ; Richmond, RC ; Stewart, ID ; Surendran, P ; Wareham, NJ ; Butterworth, A ; Weinstein, SJ ; Albanes, D ; Baron, JA ; Hopper, JL ; Figueiredo, JC ; Newcomb, PA ; Lindor, NM ; Casey, G ; Platz, EA ; Marchand, LL ; Ulrich, CM ; Li, CI ; van Dujinhoven, FJB ; Gsur, A ; Campbell, PT ; Moreno, V ; Vodicka, P ; Vodickova, L ; Amitay, E ; Alwers, E ; Chang-Claude, J ; Sakoda, LC ; Slattery, ML ; Schoen, RE ; Gunter, MJ ; Castellvi-Bel, S ; Kim, H-R ; Kweon, S-S ; Chan, AT ; Li, L ; Zheng, W ; Bishop, DT ; Buchanan, DD ; Giles, GG ; Gruber, SB ; Rennert, G ; Stadler, ZK ; Harrison, TA ; Lin, Y ; Keku, TO ; Woods, MO ; Schafmayer, C ; Van Guelpen, B ; Gallinger, S ; Hampel, H ; Berndt, SI ; Pharoah, PDP ; Lindblom, A ; Wolk, A ; Wu, AH ; White, E ; Peters, U ; Drew, DA ; Scherer, D ; Bermejo, JL ; Brenner, H ; Hoffmeister, M ; Williams, AC ; Relton, CL (MDPI, 2021-11)
    Salicylic acid (SA) has observationally been shown to decrease colorectal cancer (CRC) risk. Aspirin (acetylsalicylic acid, that rapidly deacetylates to SA) is an effective primary and secondary chemopreventive agent. Through a Mendelian randomization (MR) approach, we aimed to address whether levels of SA affected CRC risk, stratifying by aspirin use. A two-sample MR analysis was performed using GWAS summary statistics of SA (INTERVAL and EPIC-Norfolk, N = 14,149) and CRC (CCFR, CORECT, GECCO and UK Biobank, 55,168 cases and 65,160 controls). The DACHS study (4410 cases and 3441 controls) was used for replication and stratification of aspirin-use. SNPs proxying SA were selected via three methods: (1) functional SNPs that influence the activity of aspirin-metabolising enzymes; (2) pathway SNPs present in enzymes' coding regions; and (3) genome-wide significant SNPs. We found no association between functional SNPs and SA levels. The pathway and genome-wide SNPs showed no association between SA and CRC risk (OR: 1.03, 95% CI: 0.84-1.27 and OR: 1.08, 95% CI: 0.86-1.34, respectively). Results remained unchanged upon aspirin use stratification. We found little evidence to suggest that an SD increase in genetically predicted SA protects against CRC risk in the general population and upon stratification by aspirin use.
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    Association of FOXO3 Blood DNA Methylation with Cancer Risk, Cancer Survival, and Mortality
    Yu, C ; Hodge, AM ; Wong, EM ; Joo, JE ; Makalic, E ; Schmidt, D ; Buchanan, DD ; Hopper, JL ; Giles, GG ; Southey, MC ; Dugue, P-A (MDPI, 2021-12)
    Genetic variants in FOXO3 are associated with longevity. Here, we assessed whether blood DNA methylation at FOXO3 was associated with cancer risk, survival, and mortality. We used data from eight prospective case-control studies of breast (n = 409 cases), colorectal (n = 835), gastric (n = 170), kidney (n = 143), lung (n = 332), prostate (n = 869), and urothelial (n = 428) cancer and B-cell lymphoma (n = 438). Case-control pairs were matched on age, sex, country of birth, and smoking (lung cancer study). Conditional logistic regression was used to assess associations between cancer risk and methylation at 45 CpGs of FOXO3 included on the HumanMethylation450 assay. Mixed-effects Cox models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations with cancer survival (total n = 2286 deaths). Additionally, using data from 1088 older participants, we assessed associations of FOXO3 methylation with overall and cause-specific mortality (n = 354 deaths). Methylation at a CpG in the first exon region of FOXO3 (6:108882981) was associated with gastric cancer survival (HR = 2.39, 95% CI: 1.60-3.56, p = 1.9 × 10-5). Methylation at three CpGs in TSS1500 and gene body was associated with lung cancer survival (p < 6.1 × 10-5). We found no evidence of associations of FOXO3 methylation with cancer risk and mortality. Our findings may contribute to understanding the implication of FOXO3 in longevity.
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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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    Association Between Smoking and Molecular Subtypes of Colorectal Cancer
    Wang, X ; Amitay, E ; Harrison, TA ; Banbury, BL ; Berndt, S ; Brenner, H ; Buchanan, DD ; Campbell, PT ; Cao, Y ; Chan, AT ; Chang-Claude, J ; Gallinger, SJ ; Giannakis, M ; Giles, GG ; Gunter, MJ ; Hopper, JL ; Jenkins, MA ; Lin, Y ; Moreno, V ; Nishihara, R ; Newcomb, PA ; Ogino, S ; Phipps, A ; Sakoda, LC ; Schoen, RE ; Slattery, ML ; Song, M ; Sun, W ; Thibodeau, SN ; Toland, AE ; Van Guelpen, B ; Woods, MO ; Hsu, L ; Hoffmeister, M ; Peters, U (OXFORD UNIV PRESS, 2021-08)
    BACKGROUND: Smoking is associated with colorectal cancer (CRC) risk. Previous studies suggested this association may be restricted to certain molecular subtypes of CRC, but large-scale comprehensive analysis is lacking. METHODS: A total of 9789 CRC cases and 11 231 controls of European ancestry from 11 observational studies were included. We harmonized smoking variables across studies and derived sex study-specific quartiles of pack-years of smoking for analysis. Four somatic colorectal tumor markers were assessed individually and in combination, including BRAF mutation, KRAS mutation, CpG island methylator phenotype (CIMP), and microsatellite instability (MSI) status. A multinomial logistic regression analysis was used to assess the association between smoking and risk of CRC subtypes by molecular characteristics, adjusting for age, sex, and study. All statistical tests were 2-sided and adjusted for Bonferroni correction. RESULTS: Heavier smoking was associated with higher risk of CRC overall and stratified by individual markers (P trend < .001). The associations differed statistically significantly between all molecular subtypes, which was the most statistically significant for CIMP and BRAF. Compared with never-smokers, smokers in the fourth quartile of pack-years had a 90% higher risk of CIMP-positive CRC (odds ratio = 1.90, 95% confidence interval = 1.60 to 2.26) but only 35% higher risk for CIMP-negative CRC (odds ratio = 1.35, 95% confidence interval = 1.22 to 1.49; P difference = 2.1 x 10-6). The association was also stronger in tumors that were CIMP positive, MSI high, or KRAS wild type when combined (P difference < .001). CONCLUSION: Smoking was associated with differential risk of CRC subtypes defined by molecular characteristics. Heavier smokers had particularly higher risk of CRC subtypes that were CIMP positive and MSI high in combination, suggesting that smoking may be involved in the development of colorectal tumors via the serrated 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.