Back to Authors

Giannakis, Marios

0000-0001-9012-6982

Mayo Clinic

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.

Citations 3

Physical activity and molecular subtypes of colorectal cancer: a pooled observational analysis and Mendelian randomization study
Chalitsios, Christos V. , Markozannes, Georgios , Aglago, Elom K. , Berndt, Sonja I., Buchanan, Daniel D. , Campbell, Peter T. , Chan, Andrew T. , Dimou, Niki , Drew, David A. , French, Amy J. , Georgeson, Peter , Giannakis, Marios , Gruber, Stephen B., Harrison, Tabitha A. , Hullar, Meredith A.J. , Huyghe, Jeroen R. , Newton, Christina C. , Schmit, Stephanie L. , Steinfelder, Robert S. , Ugai, Tomotaka, Zaidi, Syed Hassan Ejaz , Woods, Michael O. , Andreson, Laura, Peters, Ulrike , Phipps, Amanda I , Tsilidis, Konstantinos K, Berndt, Sonja I , Cao, Yin , Chan, Andrew T , Dimou, Niki , Drew, David A , Georgeson, Peter , Giannakis, Marios , Gruber, Stephen B , Harrison, Tabitha A , Hoffmeister, Michael , Hsu, Li , Huang, Wen-Yi , Hullar, Meredith A , Huyghe, Jeroen R , Lynch, Brigid M , Moreno, Victor , Newton, Christina C , Nowak, Jonathan A , Obón-Santacana, Mireia , Ogino, Shuji , Schmit, Stephanie L , Steinfelder, Robert S , Sun, Wei , Thomas, Claire E , Toland, Amanda Ewart , Trinh, Quang M , Ugai, Tomotaka , Um, Caroline Y , Van Guelpen, Bethany , Schoen, Robert E , Woods, Michael O , Brenner, Hermann , Anderson, Laura , Pellatt, Andrew J , Phipps, Amanda I , Tsilidis, Konstantinos K , Buchanan, Daniel D , Campbell, Peter T , Aglago, Elom K , Markozannes, Georgios , Berndt, Sonja I. , Gunter, Marc J. , Hoffmeister, Michael , Huang, Wen‐Yi , Moreno, Vı́ctor , Murphy, Neil , Nowak, Jonathan A. , Obón‐Santacana, Mireia , Qu, Conghui , Sun, Wei , Thomas, Claire E. , Trinh, Quang M. , Um, Caroline Y. , Guelpen, Bethany Van , Schoen, Robert E. , Brenner, Hermann , Pellatt, Andrew J. , Tsilidis, Konstantinos K.

JNCI Cancer Spectrum | September 29, 2025 | Volume: 9 | Issue: 6 | Pages: No page available

10.1093/jncics/pkaf095 Get It

Abstract Background Physical activity is associated with lower colorectal cancer (CRC) risk, but its association with molecular subtypes defined by genetic and epigenetic alterations of the disease is unclear. Such information may enhance the understanding of the mechanisms related to the benefits of physical activity. Methods Pooled observational (cases: n = 5386; controls: n = 6798; studies n = 5) and genome-wide association data (cases: n = 8178; controls: n = 10 472; studies n = 5) were used. We used multivariable logistic regression models and Mendelian randomization to assess the association between physical activity and the risk of CRC subtypes defined by individual tumor markers (and marker combinations), namely microsatellite instability status, CpG island methylator phenotype status, and BRAF and KRAS mutations. We used case-only analysis to test for differences between molecular subtypes. We applied Bonferroni correction to account for multiple tests. Results In the pooled observational analysis, higher levels of physical activity were associated with lower CRC risk (Obs-per 1SD, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.90 to 0.97), with an association that was stronger in males (Obs-per 1SD, OR = 0.91, 95% CI = 0.87 to 0.96) than in females (Obs-per 1SD, OR = 0.97, 95% CI = 0.91 to 1.03; Pinteraction = .04). Higher physical activity was associated with a lower risk of CRC across all molecular subtypes, especially in males. There was no difference in the associations by subtypes by pooled observational or Mendelian randomization analyses. The findings did not differ by study design, anatomical site, and early or late age onset of CRC. Conclusions Our findings suggest that physical activity is not differentially associated with the 4 major molecular subtypes involved in colorectal carcinogenesis, indicating that its benefits extend broadly across colorectal cancer pathogenesis.
Waist Circumference, a Body Shape Index, and Molecular Subtypes of Colorectal Cancer: A Pooled Analysis of Four Cohort Studies
Chalitsios, Christos V. , Markozannes, Georgios , Papagiannopoulos, Christos , Aglago, Elom K. , Berndt, Sonja I. , Buchanan, Daniel D. , Campbell, Peter T. , Chan, Andrew T. , Dimou, Niki , Drew, David A. , French, Amy J. , Georgeson, Peter , Giannakis, Marios , Gruber, Stephen B. , Harrison, Tabitha A. , Hullar, Meredith A.J. , Huyghe, Jeroen R. , Newton, Christina C. , Obón‐Santacana, Mireia , Schmit, Stephanie L. , Steinfelder, Robert S. , Zaidi, Syed Hassan Ejaz , Peters, Ulrike , Phipps, Amanda I. , Cao, Yin , Chan, Andrew T , Dimou, Niki , Drew, David A , Georgeson, Peter , Giannakis, Marios , Gruber, Stephen B , Gunter, Marc J , Harrison, Tabitha A , Hoffmeister, Michael , Hsu, Li , Huang, Wen-Yi , Hullar, Meredith A , Huyghe, Jeroen R , Lynch, Brigid M , Moreno, Victor , Newton, Christina C , Nowak, Jonathan A , Obón-Santacana, Mireia , Ogino, Shuji , Qu, Conghui , Schmit, Stephanie L , Steinfelder, Robert S , Sun, Wei , Thomas, Claire E , Toland, Amanda Ewart , Trinh, Quang M , Ugai, Tomotaka , Um, Caroline Y , Van Guelpen, Bethany , Zaidi, Syed H , Murphy, Neil , Peters, Ulrike , Phipps, Amanda I , Tsilidis, Konstantinos K , Buchanan, Daniel D , Campbell, Peter T , Aglago, Elom K , Markozannes, Georgios , Cao, Yin , Gunter, Marc J. , Hoffmeister, Michael , Huang, Wen‐Yi , Moreno, Vı́ctor , Nowak, Jonathan A. , Qu, Conghui , Sun, Wei , Thomas, Claire E. , Trinh, Quang M. , Um, Caroline Y. , Guelpen, Bethany Van , Murphy, Neil , Tsilidis, Konstantinos K.

Cancer Epidemiology, Biomarkers & Prevention | February 3, 2025 | Volume: 34 | Issue: 4 | Pages: 568-577

10.1158/1055-9965.epi-24-1534 Get It

Abstract Background: Waist circumference (WC) and its allometric counterpart, “a body shape index” (ABSI), are risk factors for colorectal cancer; however, it is uncertain whether associations with these body measurements are limited to specific molecular subtypes of the disease. Methods: Data from 2,772 colorectal cancer cases and 3,521 controls were pooled from four cohort studies within the Genetics and Epidemiology of Colorectal Cancer Consortium. Four molecular markers (BRAF mutation, KRAS mutation, CpG island methylator phenotype, and microsatellite instability) were analyzed individually and in combination (Jass types). Multivariable logistic and multinomial logistic models were used to assess the associations of WC and ABSI with overall colorectal cancer risk and, in case-only analyses, to evaluate heterogeneity by molecular subtype, respectively. Results: Higher WC (ORper 5 cm = 1.06, 95% confidence interval, 1.04–1.09) and ABSI (ORper 1-SD = 1.07, 95% confidence interval, 1.00–1.14) were associated with elevated colorectal cancer risk. There was no evidence of heterogeneity between the molecular subtypes. No difference was observed regarding the influence of WC and ABSI on the four major molecular markers in proximal colon, distal colon, and rectal cancers, as well as in early- and late-onset colorectal cancers. Associations did not differ in the Jass-type analysis. Conclusions: Higher WC and ABSI were associated with elevated colorectal cancer risk; however, they do not differentially influence all four major molecular mutations involved in colorectal carcinogenesis but underscore the importance of maintaining a healthy body weight in colorectal cancer prevention. Impact: The proposed results have potential utility in colorectal cancer prevention.
Epidemiologic Factors in Relation to Colorectal Cancer Risk and Survival by Genotoxic Colibactin Mutational Signature
Thomas, Claire E. , Georgeson, Peter , Qu, Conghui , Steinfelder, Robert S. , Buchanan, Daniel D. , Song, Mingyang , Harrison, Tabitha A. , Um, Caroline Y. , Hullar, Meredith A.J. , Guelpen, Bethany Van , Huyghe, Jeroen R. , Aglago, Elom K. , Berndt, Sonja I. , Drew, David A. , Figueiredo, Jane C. , French, Amy J. , Giannakis, Marios , Goode, Ellen L. , Gruber, Stephen B. , Gsur, Andrea , Hoffmeister, Michael , Huang, Wen‐Yi , Newton, Christina C. , Obón‐Santacana, Mireia , Zaidi, Syed Hassan Ejaz , Peters, Ulrike , Phipps, Amanda I. , Hullar, Meredith A , Jenkins, Mark A , Van Guelpen, Bethany , Lynch, Brigid M , Melaku, Yohannes Adama , Huyghe, Jeroen R , Aglago, Elom K , Berndt, Sonja I , Boardman, Lisa , Campbell, Peter T , Cao, Yin , Chan, Andrew T , Drew, David A , Figueiredo, Jane C , Giannakis, Marios , Goode, Ellen L , Gruber, Stephen B , Gsur, Andrea , Gunter, Marc J , Hoffmeister, Michael , Hsu, Li , Huang, Wen-Yi , Moreno, Victor , Murphy, Neil , Newcomb, Polly A. , Newton, Christina C , Nowak, Jonathan A , Obón-Santacana, Mireia , Ogino, Shuji , Sun, Wei , Toland, Amanda Ewart , Trinh, Quang M , Ugai, Tomotaka , Zaidi, Syed H , Peters, Ulrike , Phipps, Amanda I , Buchanan, Daniel D , Harrison, Tabitha A , Um, Caroline Y , Song, Mingyang , Georgeson, Peter , Qu, Conghui , Steinfelder, Robert S , Thomas, Claire E , Jenkins, Mark A. , Boardman, Lisa A. , Campbell, Peter T. , Cao, Yin , Chan, Andrew T. , Gunter, Marc J. , Moreno, Vı́ctor , Murphy, Neil , Nowak, Jonathan A. , Sun, Wei , Trinh, Quang M.

Cancer Epidemiology, Biomarkers & Prevention | January 22, 2024 | Volume: 33 | Issue: 4 | Pages: 534-546

10.1158/1055-9965.epi-23-0600 Get It

Abstract Background: The genotoxin colibactin causes a tumor single-base substitution (SBS) mutational signature, SBS88. It is unknown whether epidemiologic factors’ association with colorectal cancer risk and survival differs by SBS88. Methods: Within the Genetic Epidemiology of Colorectal Cancer Consortium and Colon Cancer Family Registry, we measured SBS88 in 4,308 microsatellite stable/microsatellite instability low tumors. Associations of epidemiologic factors with colorectal cancer risk by SBS88 were assessed using multinomial regression (N = 4,308 cases, 14,192 controls; cohort-only cases N = 1,911), and with colorectal cancer–specific survival using Cox proportional hazards regression (N = 3,465 cases). Results: 392 (9%) tumors were SBS88 positive. Among all cases, the highest quartile of fruit intake was associated with lower risk of SBS88-positive colorectal cancer than SBS88-negative colorectal cancer [odds ratio (OR) = 0.53, 95% confidence interval (CI) 0.37-0.76; OR = 0.75, 95% CI 0.66–0.85, respectively, Pheterogeneity = 0.047]. Among cohort studies, associations of body mass index (BMI), alcohol, and fruit intake with colorectal cancer risk differed by SBS88. BMI ≥30 kg/m2 was associated with worse colorectal cancer–specific survival among those SBS88-positive [hazard ratio (HR) = 3.40, 95% CI 1.47–7.84], but not among those SBS88-negative (HR = 0.97, 95% CI 0.78–1.21, Pheterogeneity = 0.066). Conclusions: Most epidemiologic factors did not differ by SBS88 for colorectal cancer risk or survival. Higher BMI may be associated with worse colorectal cancer–specific survival among those SBS88-positive; however, validation is needed in samples with whole-genome or whole-exome sequencing available. Impact: This study highlights the importance of identification of tumor phenotypes related to colorectal cancer and understanding potential heterogeneity for risk and survival.