Investigator

Keitaro Matsuo

Adjunct Professor · Nagoya University, Division of Cancer Epidemiology

Research Interests

KMKeitaro Matsuo
Papers(4)
Lifetime ovulatory ye…Evaluating the role o…High Prediagnosis Inf…Reproductive factors …
Collaborators(10)
Argyrios ZiogasUsha MenonFrancesmary ModugnoSusan J RamusManami InoueMelissa A. MerrittMinh Tung PhungNicolas WentzensenP. M. WebbRenée Turzanski Fortn…
Institutions(11)
Aichi Cancer CenterUniversity of Califor…University College Lo…University Of Pittsbu…University of New Sou…National Cancer Cente…University of SydneyUniversity of Wiscons…Division Of Cancer Ep…QIMR Berghofer Medica…Cancer Registry Of No…

Papers

Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis

Abstract Background The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC. Methods LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source. Results LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes. Conclusions LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.

Evaluating the role of alcohol consumption in breast and ovarian cancer susceptibility using population‐based cohort studies and two‐sample Mendelian randomization analyses

AbstractAlcohol consumption is correlated positively with risk for breast cancer in observational studies, but observational studies are subject to reverse causation and confounding. The association with epithelial ovarian cancer (EOC) is unclear. We performed both observational Cox regression and two‐sample Mendelian randomization (MR) analyses using data from various European cohort studies (observational) and publicly available cancer consortia (MR). These estimates were compared to World Cancer Research Fund (WCRF) findings. In our observational analyses, the multivariable‐adjusted hazard ratios (HR) for a one standard drink/day increase was 1.06 (95% confidence interval [CI]; 1.04, 1.08) for breast cancer and 1.00 (0.92, 1.08) for EOC, both of which were consistent with previous WCRF findings. MR ORs per genetically predicted one standard drink/day increase estimated via 34 SNPs using MR‐PRESSO were 1.00 (0.93, 1.08) for breast cancer and 0.95 (0.85, 1.06) for EOC. Stratification by EOC subtype or estrogen receptor status in breast cancers made no meaningful difference to the results. For breast cancer, the CIs for the genetically derived estimates include the point‐estimate from observational studies so are not inconsistent with a small increase in risk. Our data provide additional evidence that alcohol intake is unlikely to have anything other than a very small effect on risk of EOC.

High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival

Abstract Background: There is suggestive evidence that inflammation is related to ovarian cancer survival. However, more research is needed to identify inflammation-related factors that are associated with ovarian cancer survival and to determine their combined effects. Methods: This analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. The prediagnosis inflammation-related exposures of interest included alcohol use; aspirin use; other nonsteroidal anti-inflammatory drug use; body mass index; environmental tobacco smoke exposure; history of pelvic inflammatory disease, polycystic ovarian syndrome, and endometriosis; menopausal hormone therapy use; physical inactivity; smoking status; and talc use. Using Cox proportional hazards models, the relationship between each exposure and survival was assessed in 50% of the data. A weighted inflammation-related risk score (IRRS) was developed, and its association with survival was assessed using Cox proportional hazards models in the remaining 50% of the data. Results: There was a statistically significant trend of increasing risk of death per quartile of the IRRS [HR = 1.09; 95% confidence interval (CI), 1.03–1.14]. Women in the upper quartile of the IRRS had a 31% higher death rate compared with the lowest quartile (95% CI, 1.11–1.54). Conclusions: A higher prediagnosis IRRS was associated with an increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether postdiagnosis exposures are also associated with survival. Impact: Given that pre- and postdiagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among patients with ovarian cancer.

779Works
4Papers
47Collaborators
Genetic Predisposition to DiseaseBreast NeoplasmsColorectal NeoplasmsStomach NeoplasmsPrognosisLung NeoplasmsNeoplasmsBiomarkers, Tumor

Positions

2016–

Adjunct Professor

Nagoya University · Division of Cancer Epidemiology

2015–

Chief

Aichi Cancer Center Research Institute · Division of Cancer Epidemiology and Prevention

2013–

Professor

Kyushu University · Department of Preventive Medicine

2003–

Researcher

Aichi Cancer Center Research Insitute · Division of Epidemiology and Prevention

1998–

Researcher

Okayama University Hospital

1996–

Resident

Kameda Medical Center

Education

2003

M.Sc.

Harvard School of Public Health · Department of Epidemiology

2002

Ph.D

Nagoya University Graduate School of Medicine · Department of Epidemiology

1996

M.D.

Okayama University Medical School

Country

JP

Keywords
Cancer EpidemiologyMolecular EpidemiologyClinical Epidemiology
Links & IDs
0000-0003-1761-6314

Scopus: 57211388705