Effects of Clinical Covariates on Serum miRNA Expression among Women without Ovarian Cancer
Serum miRNAs are potential biomarkers for ovarian cancer; however, many factors may influence miRNA expression. To understand potential confounders in miRNA analysis, we examined how sociodemographic factors and comorbidities, including known ovarian cancer risk factors, influence serum miRNA levels...
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| Published in | Cancer epidemiology, biomarkers & prevention Vol. 34; no. 3; pp. 385 - 393 |
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| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
American Association for Cancer Research
03.03.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1055-9965 1538-7755 1538-7755 |
| DOI | 10.1158/1055-9965.EPI-23-1355 |
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| Abstract | Serum miRNAs are potential biomarkers for ovarian cancer; however, many factors may influence miRNA expression. To understand potential confounders in miRNA analysis, we examined how sociodemographic factors and comorbidities, including known ovarian cancer risk factors, influence serum miRNA levels in women without ovarian cancer.
Data from 1,576 women from the Mass General Brigham Biobank collected between 2012 and 2019, excluding subjects previously or subsequently diagnosed with ovarian cancer, were examined. Using a focused panel of 179 miRNA probes optimized for serum profiling, miRNA expression was measured by flow cytometry using the Abcam FirePlex assay and correlated with subjects' electronic medical records.
The study population broadly reflected the New England population. The median age of subjects was 49 years, 34% were current or prior smokers, 33% were obese (body mass index > 30 kg/m2), 49% were postmenopausal, and 11% had undergone prior bilateral oophorectomy. Significant differences in miRNA expression were observed among ovarian risk factors such as age, obesity, menopause, BRCA1 or BRCA2 germline mutations, or existence of breast cancer in family history. Additionally, miRNA expression was significantly altered by prior bilateral oophorectomy, hypertension, and hypercholesterolemia. Other variables, such as smoking; parity; age at menarche; hormonal replacement therapy; oral contraception; breast, endometrial, or colon cancer; and diabetes, were not associated with significant changes in the panel when corrected for multiple testing.
Serum miRNA expression patterns are significantly affected by patient demographics, exposure history, and medical comorbidities.
Understanding confounders in serum miRNA expression is important for refining clinical assays for cancer screening. |
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| AbstractList | Serum miRNAs are potential biomarkers for ovarian cancer; however, many factors may influence miRNA expression. To understand potential confounders in miRNA analysis, we examined how sociodemographic factors and comorbidities, including known ovarian cancer risk factors, influence serum miRNA levels in women without ovarian cancer.BACKGROUNDSerum miRNAs are potential biomarkers for ovarian cancer; however, many factors may influence miRNA expression. To understand potential confounders in miRNA analysis, we examined how sociodemographic factors and comorbidities, including known ovarian cancer risk factors, influence serum miRNA levels in women without ovarian cancer.Data from 1,576 women from the Mass General Brigham Biobank collected between 2012 and 2019, excluding subjects previously or subsequently diagnosed with ovarian cancer, were examined. Using a focused panel of 179 miRNA probes optimized for serum profiling, miRNA expression was measured by flow cytometry using the Abcam FirePlex assay and correlated with subjects' electronic medical records.METHODSData from 1,576 women from the Mass General Brigham Biobank collected between 2012 and 2019, excluding subjects previously or subsequently diagnosed with ovarian cancer, were examined. Using a focused panel of 179 miRNA probes optimized for serum profiling, miRNA expression was measured by flow cytometry using the Abcam FirePlex assay and correlated with subjects' electronic medical records.The study population broadly reflected the New England population. The median age of subjects was 49 years, 34% were current or prior smokers, 33% were obese (body mass index > 30 kg/m2), 49% were postmenopausal, and 11% had undergone prior bilateral oophorectomy. Significant differences in miRNA expression were observed among ovarian risk factors such as age, obesity, menopause, BRCA1 or BRCA2 germline mutations, or existence of breast cancer in family history. Additionally, miRNA expression was significantly altered by prior bilateral oophorectomy, hypertension, and hypercholesterolemia. Other variables, such as smoking; parity; age at menarche; hormonal replacement therapy; oral contraception; breast, endometrial, or colon cancer; and diabetes, were not associated with significant changes in the panel when corrected for multiple testing.RESULTSThe study population broadly reflected the New England population. The median age of subjects was 49 years, 34% were current or prior smokers, 33% were obese (body mass index > 30 kg/m2), 49% were postmenopausal, and 11% had undergone prior bilateral oophorectomy. Significant differences in miRNA expression were observed among ovarian risk factors such as age, obesity, menopause, BRCA1 or BRCA2 germline mutations, or existence of breast cancer in family history. Additionally, miRNA expression was significantly altered by prior bilateral oophorectomy, hypertension, and hypercholesterolemia. Other variables, such as smoking; parity; age at menarche; hormonal replacement therapy; oral contraception; breast, endometrial, or colon cancer; and diabetes, were not associated with significant changes in the panel when corrected for multiple testing.Serum miRNA expression patterns are significantly affected by patient demographics, exposure history, and medical comorbidities.CONCLUSIONSSerum miRNA expression patterns are significantly affected by patient demographics, exposure history, and medical comorbidities.Understanding confounders in serum miRNA expression is important for refining clinical assays for cancer screening.IMPACTUnderstanding confounders in serum miRNA expression is important for refining clinical assays for cancer screening. Serum miRNAs are potential biomarkers for ovarian cancer; however, many factors may influence miRNA expression. To understand potential confounders in miRNA analysis, we examined how sociodemographic factors and comorbidities, including known ovarian cancer risk factors, influence serum miRNA levels in women without ovarian cancer. Data from 1,576 women from the Mass General Brigham Biobank collected between 2012 and 2019, excluding subjects previously or subsequently diagnosed with ovarian cancer, were examined. Using a focused panel of 179 miRNA probes optimized for serum profiling, miRNA expression was measured by flow cytometry using the Abcam FirePlex assay and correlated with subjects' electronic medical records. The study population broadly reflected the New England population. The median age of subjects was 49 years, 34% were current or prior smokers, 33% were obese (body mass index > 30 kg/m2), 49% were postmenopausal, and 11% had undergone prior bilateral oophorectomy. Significant differences in miRNA expression were observed among ovarian risk factors such as age, obesity, menopause, BRCA1 or BRCA2 germline mutations, or existence of breast cancer in family history. Additionally, miRNA expression was significantly altered by prior bilateral oophorectomy, hypertension, and hypercholesterolemia. Other variables, such as smoking; parity; age at menarche; hormonal replacement therapy; oral contraception; breast, endometrial, or colon cancer; and diabetes, were not associated with significant changes in the panel when corrected for multiple testing. Serum miRNA expression patterns are significantly affected by patient demographics, exposure history, and medical comorbidities. Understanding confounders in serum miRNA expression is important for refining clinical assays for cancer screening. |
| Author | Fendler, Wojciech Williams, Marta Chowdhury, Dipanjan Russell, Trinity Wollborn, Laura Webber, James W. Elias, Kevin M. Sussman, Chad B. Alimena, Stephanie Packard, Daniel G. Mishra, Sudhanshu Comrie, Cameron E. |
| AuthorAffiliation | 3 Dana-Farber Cancer Institute, Boston, Massachusetts 2 Harvard Medical School, Boston, Massachusetts 5 Department of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland 1 Division of Gynecologic Oncology, Department of Obstetrics and Gynecology and Reproductive Biology, Brigham and Women’s Hospital, Boston, Massachusetts 6 Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 4 Tufts University School of Medicine, Boston, Massachusetts |
| AuthorAffiliation_xml | – name: 4 Tufts University School of Medicine, Boston, Massachusetts – name: 6 Department of Radiation Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts – name: 5 Department of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland – name: 1 Division of Gynecologic Oncology, Department of Obstetrics and Gynecology and Reproductive Biology, Brigham and Women’s Hospital, Boston, Massachusetts – name: 3 Dana-Farber Cancer Institute, Boston, Massachusetts – name: 2 Harvard Medical School, Boston, Massachusetts |
| Author_xml | – sequence: 1 givenname: Laura orcidid: 0009-0007-3543-1643 surname: Wollborn fullname: Wollborn, Laura – sequence: 2 givenname: James W. orcidid: 0009-0000-0090-119X surname: Webber fullname: Webber, James W. – sequence: 3 givenname: Stephanie orcidid: 0000-0001-9130-4904 surname: Alimena fullname: Alimena, Stephanie – sequence: 4 givenname: Sudhanshu orcidid: 0009-0006-7985-9054 surname: Mishra fullname: Mishra, Sudhanshu – sequence: 5 givenname: Chad B. orcidid: 0000-0003-4907-0926 surname: Sussman fullname: Sussman, Chad B. – sequence: 6 givenname: Cameron E. orcidid: 0000-0001-5677-4556 surname: Comrie fullname: Comrie, Cameron E. – sequence: 7 givenname: Daniel G. orcidid: 0000-0002-1390-7221 surname: Packard fullname: Packard, Daniel G. – sequence: 8 givenname: Marta orcidid: 0009-0003-9065-7398 surname: Williams fullname: Williams, Marta – sequence: 9 givenname: Trinity orcidid: 0009-0000-8330-2570 surname: Russell fullname: Russell, Trinity – sequence: 10 givenname: Wojciech orcidid: 0000-0002-5083-9168 surname: Fendler fullname: Fendler, Wojciech – sequence: 11 givenname: Dipanjan orcidid: 0000-0001-5645-3752 surname: Chowdhury fullname: Chowdhury, Dipanjan – sequence: 12 givenname: Kevin M. orcidid: 0000-0003-1502-5553 surname: Elias fullname: Elias, Kevin M. |
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| SubjectTerms | Adult Aged Biomarkers Biomarkers, Tumor - blood Biomarkers, Tumor - genetics Female Gynecological Cancers Humans MicroRNAs - blood Middle Aged Ovarian Neoplasms - blood Ovarian Neoplasms - epidemiology Ovarian Neoplasms - genetics Risk Factors |
| Title | Effects of Clinical Covariates on Serum miRNA Expression among Women without Ovarian Cancer |
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