Ting‐Yuan David Cheng
A5088345646- Cancer Risks and Factors
- Nutrition, Genetics, and Disease
- BRCA gene mutations in cancer
- Nutritional Studies and Diet
- Metabolism, Diabetes, and Cancer
- Cancer, Lipids, and Metabolism
- Genetics and Physical Performance
- Nutrition and Health in Aging
- Folate and B Vitamins Research
- Vitamin D Research Studies
- Genetic Associations and Epidemiology
- PI3K/AKT/mTOR signaling in cancer
- Antioxidant Activity and Oxidative Stress
- Cancer Immunotherapy and Biomarkers
- Global Cancer Incidence and Screening
- Body Composition Measurement Techniques
- Cardiovascular Disease and Adiposity
- Cancer Genomics and Diagnostics
- Epigenetics and DNA Methylation
- Cancer survivorship and care
- Atherosclerosis and Cardiovascular Diseases
- Breast Cancer Treatment Studies
- Childhood Cancer Survivors' Quality of Life
- Cancer Diagnosis and Treatment
- Pain Management and Opioid Use
The Ohio State University
2022-2025
The Ohio State University Wexner Medical Center
2024
Roswell Park Comprehensive Cancer Center
2014-2023
University of Florida
2012-2023
Ohio University
2023
Florida College
2018-2022
University of Florida Health
2021
UF Health Cancer Center
2021
Fred Hutch Cancer Center
2010-2014
University of Washington
2012-2014
Abstract Background In addition to the established association between general obesity and breast cancer risk, central circulating fasting insulin glucose have been linked development of this common malignancy. Findings from previous studies, however, inconsistent, nature associations is unclear. Methods We conducted Mendelian randomization analyses evaluate using genetic instruments, with insulin, glucose, 2-h body mass index (BMI) BMI-adjusted waist-hip-ratio (WHRadj BMI). first confirmed...
Blacks tend to have a stronger inflammatory immune response than Whites. We hypothesized that racial differences in host immunity also manifest the tumor microenvironment, constituting part of distinct aggressive biology underlying higher mortality Black women.Pathological and gene expression profiling approaches were used for characterizing infiltrating cells breast microenvironment from 1315 patients Women's Circle Health Study. Racial phenotypes compared, with results validated publicly...
Insulin resistance is associated with higher all-cause and cancer-specific mortality in postmenopausal women. However, to the authors' knowledge, information regarding insulin breast cancer risk limited. Therefore, authors examined associations between incidence a subsample of Women's Health Initiative participants.
Abstract Initial studies have investigated the association between inflammation and colorectal cancer (CRC) using C‐reactive protein (CRP) as a proinflammatory biomarker noted inconsistent results among women. We here report findings from large prospective study with repeat measurements of CRP, well serum amyloid A (SAA), an additional inflammation, risk CRC. In Women's Health Initiative Observational Study, we examined associations CRP SAA CRC assessments (baseline 3‐year follow‐up) 953...
Abstract Background Growing laboratory and animal model evidence supports the potentially carcinogenic effects of some phthalates, chemicals used as plasticizers in a wide variety consumer products, including cosmetics, medications, vinyl flooring. However, prospective data on whether phthalates are associated with human breast cancer risk lacking. Methods We conducted nested case-control study within Women’s Health Initiative (WHI) cohort (n = 419 invasive case subjects 838 control...
<p>Supplemental Table 3. Association between metabolic phenotypes defined by ATP III criteria with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 23,915).</p>
<p>Supplemental Figure 3. Kaplan–Meier cumulative incidence curves for obesity-related cancer risk among Women’s Health Initiative (WHI) participants according to metabolic phenotype defined by (A) Wildman criteria, (B) ATP III (C) HOMA-IR, and (D) hs-CRP ≥ 3 mg/L.</p>
<p>Supplemental Figure 4. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by Wildman criteria with obesity-related cancer risk, stratified type among postmenopausal women in Women’s Health Initiative. Model adjusted demographics (age, education, race/ethnicity, marital status), lifestyle (smoking status, physical activity, alcohol use, fruits vegetable intake, fiber read meat intake), hormonal factors female cancers (parity, hormone therapy...
<p>Supplemental Table 2. Association between metabolic phenotypes defined by Wildman criteria with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 20,593).</p>
<p>Supplemental Table 6. Association between metabolic phenotypes defined by Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 23,232).</p>
<p>Supplemental Figure 7. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by Homeostatic Model Assessment Insulin Resistance (HOMA-IR) with obesity-related cancer risk, stratified type among postmenopausal women in Women’s Health Initiative. adjusted demographics (age, education, race/ethnicity, marital status), lifestyle (smoking status, physical activity, alcohol use, fruits vegetable intake, fiber read meat intake), hormonal factors...
<p>Supplemental Table 7. Association between metabolic phenotypes defined by Wildman criteria with obesity-related cancer (ORC) risk after excluding participants diagnosed ORC within the first three years of follow-up in Women’s Health Initiative cohort (N= 20,320).</p>
<p>Supplemental Table 1. Criteria for metabolic phenotype classification. HDL high density lipoprotein cholesterol; HOMA-IR Homeostatic Model Assessment Insulin Resistance ; hs-CRP sensitive C-reactive protein</p>
<p>Supplemental Figure 6. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by C-Reactive Protein (hs-CRP) (A) ≥ 3 mg/L, (B) 10 mg/L with obesity-related cancer risk, stratified type among postmenopausal women in Women’s Health Initiative. Model adjusted demographics (age, education, race/ethnicity, marital status), lifestyle (smoking status, physical activity, alcohol use, fruits vegetable intake, fiber read meat intake), hormonal factors...
<p>Supplemental Table 4. Association between metabolic phenotypes defined by high sensitivity C-Reactive Protein (hs-CRP) ≥ 3 mg/L with obesity-related cancer risk in the Women’s Health Initiative cohort (N= 21,245).</p>
<p>Supplemental Figure 5. Hazard ratios and 95% confidence intervals for the association of metabolic phenotype defined by ATP III criteria with obesity-related cancer risk, stratified type among postmenopausal women in Women’s Health Initiative. Model adjusted demographics (age, education, race/ethnicity, marital status), lifestyle (smoking status, physical activity, alcohol use, fruits vegetable intake, fiber read meat intake), hormonal factors female cancers (parity, hormone therapy...
<p>Supplemental Figure 1. Study Schematic of Women’s Health Initiative Participant Selection. Flowchart detailing the selection process study participants, and final cohort size for study.</p>
<div>Abstract<p>Body mass index (BMI) may misclassify obesity-related cancer (ORC) risk, as metabolic dysfunction can occur across BMI levels. We hypothesized that at any increases ORC risk compared with normal without dysfunction. Postmenopausal women (<i>n</i> = 20,593) in the Women’s Health Initiative baseline biomarkers [blood pressure, fasting triglycerides, high-density lipoprotein cholesterol, glucose, homeostatic model assessment for insulin resistance...