1
|
Qin Y, Chen XY, Cao F, Liu JC, Wu L, Liu FH, Li YZ, Xu HL, Wei YF, Huang DH, Li XY, Xiao Q, Gao S, Ma QP, Wang L, Gong TT, Wu QJ. Pre- and post-diagnosis dietary patterns and overall survival in patients with epithelial ovarian cancer: a prospective cohort study. BMC Cancer 2025; 25:363. [PMID: 40016667 PMCID: PMC11869420 DOI: 10.1186/s12885-025-13610-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Accepted: 01/29/2025] [Indexed: 03/01/2025] Open
Abstract
BACKGROUND Previous studies have examined the associations between individual foods or nutrients, but few studies have considered dietary patterns associated with ovarian cancer (OC) survival. METHODS In a prospective cohort study, we examined the association between pre-diagnosis and post-diagnosis overall diet, including changes from pre-diagnosis to post-diagnosis, and overall survival (OS) in 560 patients with OC. Dietary intake was collected using a valid 111-item food frequency questionnaire. Principal component analysis was performed to determine the dietary patterns. Cox proportional hazard regression models were used to assess the hazard ratio (HRs) and 95% confidence interval (CIs). RESULTS Two dietary patterns were identified: Balanced and nutritious pattern and Energy-dense pattern. The highest tertile of the post-diagnosis Balanced and nutritious pattern scores was related to better OS compared with the lowest tertile (HR = 0.40, 95% CI = 0.17-0.95, Ptrend < 0.05). However, no significant association between pre-diagnosis and post-diagnosis Energy-dense pattern scores and OS was observed. Compared to those who had persistently high Balanced and nutritious pattern scores, patients who changed from a high score of pre-diagnosis Balanced and nutritious pattern to low post-diagnosis, as well as those who shifted from a low to a high score, both had a decreased OS (HRhigh-low vs. high-high = 1.91, 95% CI = 1.18-3.08; HRlow-high vs. high-high = 2.19, 95% CI = 1.24-3.86). Additionally, patients who changed from a high pre-diagnosis score to a low post-diagnosis score had a decreased OS compared to those with consistently low Energy-dense pattern scores (HRhigh-low vs. low-low = 1.74, 95% CI = 1.06-2.84). CONCLUSIONS Greater adherence to the Balanced and nutritious pattern as well as less adherence to the Energy-dense pattern from pre-diagnosis to post-diagnosis were associated with better OC survival.
Collapse
Affiliation(s)
- Ying Qin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Xi-Yang Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Fan Cao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Cheng Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dong-Hui Huang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qian Xiao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Medical Insurance Office, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Peng Ma
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Lei Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China.
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China.
- , Shenyang, China.
| |
Collapse
|
2
|
Rabbani SA, Patni MA, El-Tanani M, Rangraze IR, Wali AF, Babiker R, Satyam SM, El-Tanani Y, Almetwally AAMS. Impact of Lifestyle Modifications on Cancer Mortality: A Systematic Review and Meta-Analysis. MEDICINA (KAUNAS, LITHUANIA) 2025; 61:307. [PMID: 40005424 PMCID: PMC11857246 DOI: 10.3390/medicina61020307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Revised: 01/26/2025] [Accepted: 02/07/2025] [Indexed: 02/27/2025]
Abstract
Background and Objectives: Cancer survival poses significant challenges in oncology, with lifestyle modifications increasingly recognized as crucial in modifying patient outcomes post-diagnosis. This meta-analysis aims to systematically evaluate the impact of various lifestyle interventions on cancer survival across different types of cancer. Methods: A comprehensive literature search of electronic databases including PubMed, Scopus and Cochrane was performed to identify relevant studies up to 30 November 2024. Relevant studies were chosen and data were extracted and analyzed using SPSS Version 29.0 software. Results: Our systematic review included data from 98 studies involving a total of 1,461,834 cancer patients to evaluate the impact of lifestyle factors on cancer survival. Out of these, 64 studies were included in the meta-analysis. Our meta-analysis demonstrates that adherence to specific dietary patterns significantly improves cancer-specific outcomes. The Healthy Eating Index (HEI) diet was associated with a reduction in cancer-specific mortality (pooled log HR: -0.22; 95% CI: [-0.32, -0.12]; p < 0.001). Similar benefits were observed with the Mediterranean diet (aMED), which also reduced cancer mortality and recurrence (pooled log HR: -0.24; 95% CI: [-0.40, -0.07]; p < 0.001), and the Dietary Approaches to Stop Hypertension (DASH) diet (pooled log HR: -0.22; 95% CI: [-0.33, -0.12]; p < 0.001). Additionally, general dietary improvements were beneficial for breast cancer-specific mortality across 17 cohort studies (pooled log HR: -0.15; 95% CI: [-0.25, -0.06]; p < 0.001). Engaging in any form of physical activity post-diagnosis was associated with significant improvements in cancer-specific mortality or recurrence (pooled log HR: -0.31; 95% CI: [-0.38, -0.25]; p < 0.001). Participants who ceased smoking after diagnosis exhibited more favorable cancer outcomes (pooled log HR: -0.33; 95% CI: [-0.42, -0.24]; p < 0.001), with smoking cessation notably reducing cancer-specific mortality among lung cancer survivors (pooled log HR: -0.34; 95% CI: [-0.48, -0.20]; p < 0.001). Additionally, reducing alcohol intake post-diagnosis significantly improved cancer outcomes (pooled log HR: -0.26; 95% CI: [-0.33, -0.19]; p < 0.001). Alcohol moderation in gastrointestinal tract cancer survivors specifically decreased both cancer-specific mortality and recurrence (pooled log HR: -0.22; 95% CI: [-0.29, -0.15]; p < 0.001). Conclusions: Lifestyle modifications after cancer diagnosis significantly improve cancer-specific outcomes. Specific dietary patterns, increased physical activity, smoking cessation, and reduced alcohol intake are all associated with lower cancer-specific mortality. Integrating these lifestyle changes into oncology care may enhance patient survival and quality of life.
Collapse
Affiliation(s)
- Syed Arman Rabbani
- RAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
- Translational and Medical Research Centre, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
| | - Mohamed Anas Patni
- Translational and Medical Research Centre, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
- RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
| | - Mohamed El-Tanani
- RAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
- Translational and Medical Research Centre, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
| | - Imran Rashid Rangraze
- Translational and Medical Research Centre, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
- RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
| | - Adil Farooq Wali
- RAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
- Translational and Medical Research Centre, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
| | - Rasha Babiker
- Translational and Medical Research Centre, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
- RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
| | - Shakta Mani Satyam
- Translational and Medical Research Centre, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
- RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates
| | | | | |
Collapse
|
3
|
Xu HL, Wei YF, Bao Q, Wang YL, Li XY, Huang DH, Liu FH, Li YZ, Zhao YY, Zhao XX, Xiao Q, Gao S, Chen RJ, Ouyang L, Meng X, Qin X, Gong TT, Wu QJ. Dietary protein intake and PM 2.5 on ovarian cancer survival: A prospective cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2025; 291:117798. [PMID: 39875252 DOI: 10.1016/j.ecoenv.2025.117798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 12/28/2024] [Accepted: 01/22/2025] [Indexed: 01/30/2025]
Abstract
BACKGROUND Evolving evidence suggests both protein consumption and particulate matter less than 2.5 micrometers (PM2.5) might be related to ovarian cancer (OC) mortality. However, no epidemiological studies have explored their potential interaction. OBJECTIVE The objective of this study was to explore the association of dietary protein, PM2.5, and their interaction with the survival of OC patients. METHODS A prospective cohort study was carried out, which encompassed 658 newly diagnosed OC patients (18-79 years) residing in China. Dietary protein intakes were collected through a food frequency questionnaire examination, including total protein and protein from diverse sources. Average residential PM2.5 concentrations were evaluated using satellite-derived models. We calculated the hazard ratio (HR) and its 95 % confidence interval (CI) by adjusting for multiple variables using Cox proportional risk models. By assessing the relative excess risk due to interaction (RERI) arising from the interplay between PM2.5 exposure and dietary protein intake, we explored the additive interaction between the two. Multiplicative interaction was assessed through a cross-product interaction term. RESULTS During a median follow-up of 37.60 months, 123 deaths were documented. As for all-cause mortality, the multivariate-adjusted HRs (95 % CIs) in the highest vs. the lowest tertile were 0.57 (0.35-0.93), 0.60 (0.36-0.99), and 0.58 (0.37-0.90) for intakes of fish, egg, as well as fruit/vegetable protein, respectively (all P for trend < 0.05). A positive association between PM2.5 exposure and all-cause mortality was observed (HR=1.52; 95 % CI: 1.13-2.05, per interquartile range increment). Notably, dietary fish, egg, and fruit/vegetable protein modified these associations, as patients with lower intakes had significantly higher PM2.5-related mortality in the cohort (all P for interaction < 0.05). CONCLUSIONS This study provides evidence linking the potential interactions between dietary fish, egg, and fruit/vegetable protein intake and PM2.5 exposure on all-cause mortality of OC patients. Our study demonstrates the importance of adherence to a certain protein diet in reducing PM2.5-related mortality risk for OC patients.
Collapse
Affiliation(s)
- He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi Bao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ya-Li Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Information Center, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dong-Hui Huang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yue-Yang Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Library, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xin-Xin Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Hospice Care, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qian Xiao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ren-Jie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Ling Ouyang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xia Meng
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China.
| |
Collapse
|
4
|
Armidie TA, Bandera EV, Johnson CE, Peres LC, Haller K, Terry P, Akonde M, Peters ES, Cote ML, Hastert TA, Collin LJ, Epstein M, Marks J, Bondy M, Lawson AB, Alberg AJ, Schildkraut JM, Qin B. Diet and Survival in Black Women With Epithelial Ovarian Cancer. JAMA Netw Open 2024; 7:e2440279. [PMID: 39422908 PMCID: PMC11581655 DOI: 10.1001/jamanetworkopen.2024.40279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 08/27/2024] [Indexed: 10/19/2024] Open
Abstract
Importance Ovarian cancer survival among Black women is the lowest across all racial and ethnic groups. Poor dietary quality also disproportionately affects Black populations, but its association with ovarian cancer survival in this population remains largely unknown. Objective To examine associations between dietary patterns and survival among Black women diagnosed with epithelial ovarian cancer (EOC). Design, Setting, and Participants This prospective cohort study was conducted among self-identified Black women aged 20 to 79 years newly diagnosed with histologically confirmed EOC in the African American Cancer Epidemiology Study (AACES) between December 2010 and December 2015, with follow-up until October 2022. AACES is a population-based study of ovarian cancer risk and survival among Black women in 11 US regions. Data were analyzed from March 2023 to June 2024. Exposures Dietary patterns were assessed by the Healthy Eating Index-2020 (HEI-2020) and Alternative Healthy Eating Index-2010 (AHEI-2010), with scores calculated based on dietary intake in the year prior to diagnosis and collected via the validated Block 2005 Food Frequency Questionnaire. Higher scores indicate better dietary quality. Main outcomes and measures Hazard ratios (HRs) and 95% CIs were estimated from multivariable Cox models for the association between adherence to dietary recommendations and overall mortality among all participants and those with high-grade serous ovarian cancer (HGSOC). Results Among 483 Black women with EOC (mean [SD] age, 58.1 [10.5] years), 310 deaths were recorded during a median (IQR) follow-up of 4.3 (2.0-8.2) years. No association of dietary patterns with mortality was found among women with EOC overall. However, among 325 women with HGSOC, better adherence to HEI-2020 was associated with decreased mortality in later quartiles compared with the first quartile (HR, 0.63; 95% CI, 0.44-0.92 for quartile 2; HR, 0.67; 95% CI, 0.46-0.97 for quartile 3; HR, 0.63; 95% CI, 0.44-0.91 for quartile 4 ). Similar results were observed with AHEI-2010 among women with HGSOC for the second (HR, 0.62; 95% CI, 0.43-0.89) and fourth (HR, 0.67; 95% CI, 0.45-0.98) quartiles compared with quartile 1. Conclusions and relevance In this study, women with moderate and high prediagnosis dietary quality had significantly lower mortality rates from HGSOC compared with women with the lowest prediagnosis dietary quality. These findings suggest that even moderate adherence to dietary guidelines prior to diagnosis may be associated with improved survival among Black women with HGSOC, the most lethal form of ovarian cancer.
Collapse
Affiliation(s)
- Tsion A. Armidie
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute, New Brunswick, New Jersey
| | - Courtney E. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
| | - Kristin Haller
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Paul Terry
- Department of Medicine, University of Tennessee Medical Center-Knoxville
| | - Maxwell Akonde
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia
| | - Edward S. Peters
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha
| | - Michele L. Cote
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indiana University, Indianapolis
| | - Theresa A. Hastert
- Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan
| | - Lindsay J. Collin
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Michael Epstein
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Jeffrey Marks
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Melissa Bondy
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California
| | - Andrew B. Lawson
- Department of Public Health Sciences, Medical University of South Carolina, Charleston
- Usher Institute, Centre for Population Health Sciences, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom
| | - Anthony J. Alberg
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia
| | - Joellen M. Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Bo Qin
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute, New Brunswick, New Jersey
| |
Collapse
|
5
|
Liu JC, Liu FH, Zhang DY, Wang XY, Wu L, Li YZ, Xu HL, Wei YF, Huang DH, Li XY, Xiao Q, Xie MM, Liu PC, Gao S, Liu C, Liu N, Gong TT, Wu QJ. Association between pre- and post-diagnosis healthy eating index 2020 and ovarian cancer survival: evidence from a prospective cohort study. Food Funct 2024; 15:8408-8417. [PMID: 39040017 DOI: 10.1039/d4fo02417f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Background: Previous studies on the association between diet quality and ovarian cancer (OC) survival are limited and inconsistent. We evaluated the relationship between pre- and post-diagnosis diet quality based on the Healthy Eating Index-2020 (HEI-2020), as well as their changes and OC survival. Methods: This prospective cohort study involved 1082 patients with OC aged 18-79 years, enrolled between 2015 and 2022. Detailed dietary intake before and after diagnosis was recorded using a validated food frequency questionnaire. Deaths were ascertained until February 16th, 2023 via medical records and active follow-up. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI). Results: We included 549 OC cases with a median follow-up of 44.9 months, representing 206 total deaths. Higher HEI scores were associated with better OS (pre-diagnosis: HRT3 vs. T1 0.66, 95%CI: 0.46-0.93, HR1-SD 0.84, 95%CI: 0.73-0.96; post-diagnosis: HRT3 vs. T1 0.68, 95%CI: 0.49-0.96, HR1-SD 0.80, 95%CI: 0.69-0.92). Compared to the stable group, the group with decreased HEI scores (>3%) from pre- to post-diagnosis had worse OS (HR 1.93, 95%CI: 1.26-2.97). Conclusion: High pre- and post-diagnosis diet quality was associated with improved OC survival, whereas deterioration in diet quality after diagnosis was associated with decreased OC survival.
Collapse
Affiliation(s)
- Jia-Cheng Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - De-Yu Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Xiao-Ying Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dong-Hui Huang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qian Xiao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- Hospital Management Office, Shengjing Hospital of China Medical University, Shenyang, China
| | - Meng-Meng Xie
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Pei-Chen Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Chuan Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ning Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China
| |
Collapse
|
6
|
Cao A, Esserman DA, Cartmel B, Irwin ML, Ferrucci LM. Association between diet quality and ovarian cancer risk and survival. J Natl Cancer Inst 2024; 116:1095-1104. [PMID: 38400738 PMCID: PMC11223874 DOI: 10.1093/jnci/djae040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/25/2024] [Accepted: 02/20/2024] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Research on diet quality and ovarian cancer is limited. We examined the association between diet quality and ovarian cancer risk and survival in a large prospective cohort. METHODS We used data from women in the prospective National Institutes of Health-AARP Diet and Health Study enrolled from 1995 to 1996 who were aged 50-71 years at baseline with follow-up through December 31, 2017. Participants completed a 124-item food frequency questionnaire at baseline, and diet quality was assessed via the Healthy Eating Index-2015, the alternate Mediterranean diet score, and the Dietary Approaches to Stop Hypertension score. Primary outcomes were first primary epithelial ovarian cancer diagnosis from cancer registry data and among those diagnosed with ovarian cancer all-cause mortality. We used a semi-Markov multistate model with Cox proportional hazards regression to account for semicompeting events. RESULTS Among 150 643 participants with a median follow-up time of 20.5 years, 1107 individuals were diagnosed with a first primary epithelial ovarian cancer. There was no evidence of an association between diet quality and ovarian cancer risk. Among those diagnosed with epithelial ovarian cancer, 893 deaths occurred with a median survival of 2.5 years. Better prediagnosis diet quality, according to the Healthy Eating Index-2015 (quintile 5 vs quintile 1: hazard ratio [HR] = 0.75, 95% confidence interval [CI] = 0.60 to 0.93) and alternate Mediterranean diet score (quintile 5 vs quintile 1: HR = 0.68, 95% CI = 0.53 to 0.87), was associated with lower all-cause mortality. There was no evidence of an association between Dietary Approaches to Stop Hypertension score and all-cause mortality. CONCLUSIONS Better prediagnosis diet quality was associated with lower all-cause mortality after ovarian cancer diagnosis but was not associated with ovarian cancer risk.
Collapse
Affiliation(s)
- Anlan Cao
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Denise A Esserman
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Brenda Cartmel
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Melinda L Irwin
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| | - Leah M Ferrucci
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
- Yale Cancer Center, New Haven, CT, USA
| |
Collapse
|
7
|
Smith S, Fisher A, Lally PJ, Croker HA, Roberts A, Conway RE, Beeken RJ. Perceiving a need for dietary change in adults living with and beyond cancer: A cross-sectional study. Cancer Med 2024; 13:e7073. [PMID: 38457197 PMCID: PMC10922024 DOI: 10.1002/cam4.7073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 02/08/2024] [Accepted: 02/20/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Many people living with and beyond cancer (LWBC) do not meet dietary recommendations. To implement a healthier diet, people LWBC must perceive a need to improve their diet. METHODS Participants included people diagnosed with breast, prostate or colorectal cancer in the UK. Two binary logistic regression models were conducted with perceived need for dietary change as the outcome (need to improve vs. no need). Predictor variables included demographic and clinical characteristics, receipt of dietary advice, and either body mass index (BMI) or adherence to seven relevant World Cancer Research Fund (WCRF) dietary recommendations. RESULTS The sample included 5835 responses. Only 31% perceived a need to improve their diet. Being younger (odds ratio [OR] 0.95, 95% confidence interval [CI] = 94-0.95), female (OR = 1.33, 95% CI = 1.15-1.53), not of white ethnicity (OR = 1.8, 95% CI = 1.48-2.27), not married/cohabiting (OR = 1.32, 95% CI = 1.16-1.52) and having received dietary advice (OR = 1.36, 95% CI = 1.43-1.86) was associated with an increased odds of perceiving a need to improve diet. This association was also seen for participants with two or more comorbidities (OR = 1.31, 95% CI = 1.09-1.57), those not meeting the recommendations for fruit and vegetables (OR = 0.47, 95% CI = 0.41-0.55), fat (OR = 0.67, 95% CI = 0.58-0.77), and sugar (OR = 0.86, 95% CI = 0.75-0.98) in the dietary components model and those who had a higher BMI (OR = 1.53, 95% CI = 1.32-1.77) in the BMI model. CONCLUSIONS Most of this sample of people LWBC did not perceive a need to improve their diet. More research is needed to understand the reasons for this and to target these reasons in dietary interventions.
Collapse
Affiliation(s)
- Susan Smith
- Department of Behavioural Science and HealthUniversity College LondonLondonUK
| | - Abi Fisher
- Department of Behavioural Science and HealthUniversity College LondonLondonUK
| | - Phillippa J. Lally
- Department of Behavioural Science and HealthUniversity College LondonLondonUK
- Department of PsychologyUniversity of SurreySurreyUK
| | - Helen A. Croker
- Department of Behavioural Science and HealthUniversity College LondonLondonUK
| | - Anna Roberts
- Department of Behavioural Science and HealthUniversity College LondonLondonUK
| | - Rana E. Conway
- Department of Behavioural Science and HealthUniversity College LondonLondonUK
| | - Rebecca J. Beeken
- Department of Behavioural Science and HealthUniversity College LondonLondonUK
- Leeds Institute of Health SciencesUniversity of LeedsLeedsUK
| |
Collapse
|
8
|
Spei ME, Bellos I, Samoli E, Benetou V. Post-Diagnosis Dietary Patterns among Cancer Survivors in Relation to All-Cause Mortality and Cancer-Specific Mortality: A Systematic Review and Meta-Analysis of Cohort Studies. Nutrients 2023; 15:3860. [PMID: 37686892 PMCID: PMC10490392 DOI: 10.3390/nu15173860] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 08/31/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023] Open
Abstract
The role of overall diet on longevity among cancer survivors (CS) needs further elucidation. We performed a systematic review of the literature and a meta-analysis of related cohort studies published up to October 2022 investigating post-diagnosis a priori (diet quality indices) and a posteriori (data-driven) dietary patterns (DPs) in relation to all-cause and cancer-specific mortality. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using random-effects meta-analyses comparing highest versus lowest categories of adherence to DPs. We assessed heterogeneity and risk of bias in the selected studies. A total of 19 cohort studies with 38,846 adult CS, some assessing various DPs, were included in the meta-analyses. Higher adherence to a priori DPs was associated with lower all-cause mortality by 22% (HR = 0.78, 95% CI: 0.73-0.83, I2 = 22.6%) among all CS, by 22% (HR = 0.78, 95% CI: 0.73-0.84, I2 = 0%) among breast CS and by 27% (HR = 0.73, 95% CI: 0.62-0.86, I2 = 41.4%) among colorectal CS. Higher adherence to a "prudent/healthy" DP was associated with lower all-cause mortality (HR = 0.79, 95% CI: 0.64-0.97 I2 = 49.3%), whereas higher adherence to a "western/unhealthy" DP was associated with increased all-cause mortality (HR = 1.48, 95% CI: 1.26-1.74, I2 = 0%) among all CS. Results for cancer-specific mortality were less clear. In conclusion, higher adherence to a "healthy" DP, either a priori or a posteriori, was inversely associated with all-cause mortality among CS. A "healthy" overall diet after cancer diagnosis could protect and promote longevity and well-being.
Collapse
Affiliation(s)
| | | | | | - Vassiliki Benetou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, 75 Mikras Asias Street, 115 27 Athens, Greece; (M.-E.S.); (I.B.); (E.S.)
| |
Collapse
|
9
|
Trauchburg A, Schwingshackl L, Hoffmann G. Association between Dietary Indices and Dietary Patterns and Mortality and Cancer Recurrence among Cancer Survivors: An Updated Systematic Review and Meta-Analysis of Cohort Studies. Nutrients 2023; 15:3151. [PMID: 37513568 PMCID: PMC10385219 DOI: 10.3390/nu15143151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 07/10/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
The number of cancer survivors is growing rapidly; however, specific lifestyle recommendations for these patients are still sparse, including dietary approaches. Thus, the aim of the present systematic review and meta-analysis was to examine the associations between adherence to diet-quality indices and dietary patterns on overall mortality, cancer-specific mortality, and cancer recurrence among cancer survivors. The literature search was conducted in PubMed and Web of Science between 18 May 2016 and 22 May 2022 with no language restrictions. Thirty-nine studies were included for quantitative analysis, providing data from 77,412 participants. Adherence to both diet-quality indices and a healthy/prudent dietary pattern was inversely associated with overall mortality (RR, 0.81; 95% CI, 0.77-0.86; RR, 0.80; 95% CI, 0.70-0.92, respectively) and with cancer-specific mortality (RR, 0.86; 95% CI, 0.79-0.94; RR, 0.79; 95% CI, 0.64-0.97, respectively). These associations could be observed following assessment of dietary patterns either pre- and/or postdiagnosis. For unhealthy/western dietary patterns, high adherence was associated with overall mortality (RR, 1.26; 95% CI, 1.08-1.47). Although the certainty of evidence was rated as low, we conclude that there are no reservations against high adherence to healthy dietary patterns or indices in cancer survivors.
Collapse
Affiliation(s)
- Angela Trauchburg
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, UZA II, 1090 Vienna, Austria
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Breisacher Straße 153, 79110 Freiburg, Germany
| | - Georg Hoffmann
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, UZA II, 1090 Vienna, Austria
| |
Collapse
|
10
|
Johnston EA, Ibiebele TI, Friedlander ML, Grant PT, van der Pols JC, Webb PM. Association of protein intake with recurrence and survival following primary treatment of ovarian cancer. Am J Clin Nutr 2023:S0002-9165(23)48895-8. [PMID: 37146759 DOI: 10.1016/j.ajcnut.2023.05.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 04/18/2023] [Accepted: 05/01/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Malnutrition is common during treatment for ovarian cancer and one in three report multiple symptoms affecting food intake after primary treatment. Little is known about diet post-treatment in relation to ovarian cancer survival, however, general recommendations for cancer survivors are to maintain a higher level of protein intake to support recovery and minimize nutritional deficits. OBJECTIVE To investigate whether intake of protein and protein food sources following primary treatment for ovarian cancer is associated with recurrence and survival. DESIGN Intake levels of protein and protein food groups were calculated from dietary data collected about 12 months post-diagnosis using a validated food frequency questionnaire in an Australian cohort of females with invasive epithelial ovarian cancer. Disease recurrence and survival status were abstracted from medical records (median 4.9 years follow-up). Cox proportional hazards regression was used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for protein intake and progression-free and overall survival. RESULTS Among 591 females who were progression-free at 12-months follow-up, 329 (56%) subsequently experienced cancer recurrence and 231 (39%) died. A higher level of protein intake was associated with better progression-free survival (>1-1.5 vs. ≤1 grams per kilogram body weight (g/kg): HRadjusted=0.69, 95% CI 0.48, 1.00; >1.5 vs. ≤1g/kg: HRadjusted=0.61, 95% CI 0.41, 0.90; >20% vs. ≤20% total energy intake from protein: HRadjusted=0.77, 95% CI 0.61, 0.96). There was no evidence for better progression-free survival with any particular protein food sources. There was a suggestion of better overall survival among those with higher total intakes of animal-based protein foods, particularly dairy products (HR=0.71, 95% CI 0.51, 0.99 for highest vs. lowest tertiles of total dairy intake). CONCLUSIONS After primary treatment for ovarian cancer, a higher level of protein intake may benefit progression-free survival. Ovarian cancer survivors should avoid dietary practices that limit intake of protein-rich foods.
Collapse
Affiliation(s)
- Elizabeth A Johnston
- QIMR Berghofer Medical Research Institute, Population Health Program, Herston, Queensland, Australia; Queensland University of Technology (QUT), Faculty of Health, School of Exercise and Nutrition Sciences, Kelvin Grove, Queensland, Australia; Viertel Cancer Research Centre, Cancer Council Queensland, Fortitude Valley, Queensland, Australia.
| | - Torukiri I Ibiebele
- QIMR Berghofer Medical Research Institute, Population Health Program, Herston, Queensland, Australia
| | - Michael L Friedlander
- University of New South Wales Clinical School, Prince of Wales Hospital, Randwick, New South Wales, Australia; Department of Medical Oncology, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Peter T Grant
- University of Melbourne, Department of Gynaecological Oncology, Mercy Hospital for Women, Heidelberg, Victoria, Australia
| | - Jolieke C van der Pols
- QIMR Berghofer Medical Research Institute, Population Health Program, Herston, Queensland, Australia; Queensland University of Technology (QUT), Faculty of Health, School of Exercise and Nutrition Sciences, Kelvin Grove, Queensland, Australia
| | - Penelope M Webb
- QIMR Berghofer Medical Research Institute, Population Health Program, Herston, Queensland, Australia
| |
Collapse
|
11
|
Thomson CA, Crane TE, Miller A, Gold MA, Powell M, Bixel K, Van Le L, DiSilvestro P, Ratner E, Lele S, Guntupalli S, Huh W, Robertson SE, Modesitt S, Casey AC, Basen-Engquist K, Skiba M, Walker J, Kachnic L, Alberts DS. Lifestyle intervention in ovarian cancer enhanced survival (LIVES) study (NRG/GOG0225): Recruitment, retention and baseline characteristics of a randomized trial of diet and physical activity in ovarian cancer survivors. Gynecol Oncol 2023; 170:11-18. [PMID: 36608382 PMCID: PMC10023359 DOI: 10.1016/j.ygyno.2022.12.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/16/2022] [Accepted: 12/26/2022] [Indexed: 01/06/2023]
Abstract
OBJECTIVE The Lifestyle Intervention for oVarian cancer Enhanced Survival (LIVES) is a national study of a combined diet and physical activity intervention for stage II-IV ovarian cancer survival, an under-represented cancer in lifestyle behavioral intervention research. Here, we present the data on recruitment, retention, and baseline demographic, clinical and lifestyle behavior characteristics of the LIVES study participants. METHODS The LIVES study (NRG Oncology/GOG 0225) is a Phase III diet plus physical activity intervention trial testing the hypothesis that ovarian cancer survivors in the lifestyle intervention will demonstrate better progression-free survival than those in the control condition. Study interventions were delivered via centralized telephone-based health coaching. Baseline descriptive statistics were computed for demographic, clinical, and lifestyle behavior characteristics. RESULTS The LIVES study exceeded its recruitment goals, enrolling 1205 ovarian cancer survivors from 195 NRG/NCORP-affiliated oncology practices across 49 states from 2012 to 2018. The mean age of enrollees was 59.6 years; the majority (69.4%) with stage III disease; 89% White, 5.5% Hispanic; 64% overweight/obese. Baseline self-reported diet showed a mean daily intake of 6.6 servings of fruit and vegetables, 62.7 fat grams, and 21.7 g of fiber. Physical activity averaged 13.0 MET-hours/week of moderate to vigorous physical activity; 50.9 h/week of sedentary time. Retention rates exceeded 88%. CONCLUSION The LIVES study demonstrates efficiency in recruiting and retaining ovarian cancer survivors in a 24-month study of diet and physical activity intervention with a primary endpoint of progression free survival that will be reported. TRIAL REGISTRATION ClinicalTrials.govNCT00719303.
Collapse
Affiliation(s)
- Cynthia A Thomson
- Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
| | - Tracy E Crane
- Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA; Division of Medical Oncology, Miller School of Medicine, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA.
| | - Austin Miller
- NRG Oncology, Clinical Trials Development Division, Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
| | - Michael A Gold
- Oklahoma Cancer Specialists and Research Institute, Tulsa, OK, USA.
| | - Matthew Powell
- Washington University School of Medicine, St. Louis, MO, USA.
| | - Kristin Bixel
- Ohio State University Comprehensive Cancer Center-James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
| | - Linda Van Le
- University of North Carolina School of Medicine, UNC Hospitals, 101 Manning Dr, Chapel Hill, NC, USA.
| | | | - Elena Ratner
- Yale University School of Medicine, New Haven, CT, USA.
| | | | - Saketh Guntupalli
- University of Colorado Cancer Center - Anschutz Cancer Pavilion, Aurora, CO, USA.
| | - Warner Huh
- University of Alabama at Birmingham Hospital, Birmingham, AL, USA.
| | | | - Susan Modesitt
- University of Virginia, Emily Couric Clinical Cancer Center, Charlottesville, VA, USA.
| | | | - Karen Basen-Engquist
- Professor of Behavioral Science, Director of the Center for Energy Balance in Cancer Prevention & Survivorship, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Meghan Skiba
- Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
| | - Joan Walker
- University of Oklahoma, Oklahoma City, OK, USA.
| | - Lisa Kachnic
- Columbia University, Herbert Irving Comprehensive Cancer Center, New York, NY, USA.
| | - David S Alberts
- Medicine, Pharmacology, Public Health, Nutritional Sciences & BIO5, Emeritus, University of Arizona Cancer Center, Tucson, AZ, 85719, USA.
| |
Collapse
|
12
|
Zheng J, Tabung FK, Zhang J, Caan B, Hebert JR, Kroenke CH, Ockene J, Shivappa N, Steck SE. Association between dietary inflammatory potential and mortality after cancer diagnosis in the Women's Health Initiative. Br J Cancer 2023; 128:606-617. [PMID: 36482189 PMCID: PMC9938285 DOI: 10.1038/s41416-022-02079-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Chronic inflammation is implicated in cancer prognosis and can be modulated by diet. We examined associations between post-diagnosis dietary inflammatory potential and mortality outcomes among post-menopausal women diagnosed with cancer in the Women's Health Initiative (WHI). METHODS Energy-adjusted dietary inflammatory index scores (E-DII) were calculated from dietary and supplemental intake data collected on the first food frequency questionnaire following the diagnosis of primary invasive cancer for 3434 women in the WHI. Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) for risk of death from any cause, cancer, cardiovascular disease (CVD) and other causes by post-diagnosis quartiles of E-DII. Subgroup analyses by cancer stage and grade were performed. RESULTS There were 1156 deaths after a median 13 years of follow-up from the date of a cancer diagnosis. In the multivariable-adjusted analyses, a more anti-inflammatory diet plus supplements after cancer diagnosis was associated with lower all-cause mortality, cancer mortality, CVD mortality and mortality from other causes with HRsQ1vs.Q4 ranging from 0.47 to 0.68 (all P-trends < 0.05). Associations were stronger for cancers diagnosed at more distant stages or moderately differentiated grades. CONCLUSION A more anti-inflammatory diet plus supplements after a cancer diagnosis may improve survival for post-menopausal cancer survivors.
Collapse
Affiliation(s)
- Jiali Zheng
- Department of Epidemiology and Biostatistics, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Fred K Tabung
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, USA
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Bette Caan
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - James R Hebert
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Connecting Health Innovations, LLC, Columbia, SC, USA
| | - Candyce H Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Judith Ockene
- Division of Preventive and Behavioral Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Nitin Shivappa
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
- Connecting Health Innovations, LLC, Columbia, SC, USA
| | - Susan E Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
| |
Collapse
|
13
|
Yin JL, Tao T, Wen ZY, Wang R, Sun MH, Gao C, Chang YJ, Yan S, Qin X, Zhao YH, Wang L, Gao S. Association between pre-diagnostic dietary copper, zinc, and copper-to-zinc ratio and severity of ovarian cancer. Front Nutr 2022; 9:1003675. [PMID: 36458167 PMCID: PMC9705584 DOI: 10.3389/fnut.2022.1003675] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/19/2022] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND The impact of dietary trace elements intake on ovarian cancer (OC) severity is unknown. OBJECTIVE We firstly explore the relationship between dietary copper (Cu), zinc (Zn), and copper-to-zinc (Cu/Zn) ratio and severity of OC. METHODS This cross-sectional study included 701 women from the OC follow-up study between 2015 and 2020. Dietary information was collected by a validated food frequency questionnaire (FFQ). The severity information of OC including age at diagnosis, histological type, International Federation of Gynecology and Obstetrics (FIGO) stage, and histopathologic grade was ascertained from medical records. Logistic regression model was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) of aforementioned associations. RESULTS Among 701 participants, the number of patients age at diagnosis older than 50 were 443 (63.2%). The number of patients diagnosed as serous, III-IV stage, and poorly differentiation OC were 477 (68.05%), 336 (47.93%), and 597 (85.16%), respectively. In addition, compared with the lowest tertile intake, higher possibility of non-serous OC was associated with the pre-diagnosis dietary Cu (OR = 2.39, 95% CI = 1.28-4.47, p trend < 0.05) and Cu/Zn ratio (OR = 2.06, 95% CI = 1.26-3.39, P trend < 0.05) in the highest tertile intake. The risk of poorly differentiation OC at diagnosis was significant inversely related to dietary Cu intake (OR = 0.40, 95% CI = 0.18-0.88, P trend < 0.05). Besides, the results of subgroup analyses were consistent with the main findings but not all of them showed statistical significance. CONCLUSION Pre-diagnostic dietary Cu and Cu/Zn ratio were contributed to reducing the severity of OC at diagnosis, especially for the risk of serous OC and poorly differentiation OC.
Collapse
Affiliation(s)
- Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Tao Tao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhao-Yan Wen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ran Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Hui Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Chang Gao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Jiao Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lan Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| |
Collapse
|
14
|
Hlaing-Hlaing H, Dolja-Gore X, Tavener M, James EL, Hure AJ. Alternative Healthy Eating Index-2010 and Incident Non-Communicable Diseases: Findings from a 15-Year follow up of Women from the 1973–78 Cohort of the Australian Longitudinal Study on Women’s Health. Nutrients 2022; 14:nu14204403. [PMID: 36297087 PMCID: PMC9611717 DOI: 10.3390/nu14204403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/14/2022] [Accepted: 10/15/2022] [Indexed: 11/29/2022] Open
Abstract
Non-communicable diseases (NCDs) and multimorbidity (≥two chronic conditions), are increasing globally. Diet is a risk factor for some NCDs. We aimed to investigate the association between diet quality (DQ) and incident NCDs. Participants were from the Australian Longitudinal Study on Women’s Health 1973–78 cohort with no NCD and completed dietary data at survey 3 (2003, aged 25–30 years) who responded to at least one survey between survey 4 (2006) and survey 8 (2018). DQ was measured by the Alternative Healthy Eating Index-2010 (AHEI-2010). Outcomes included coronary heart disease (CHD), hypertension (HT), asthma, cancer (excluding skin cancer), diabetes mellitus (DM), depression and/or anxiety, multimorbidity, and all-cause mortality. Repeated cross-sectional multivariate logistic regressions were performed to investigate the association between baseline DQ and NCDs over 15 years. The AHEI-2010 mean (±sd) for participants (n = 8017) was 51.6 ± 11.0 (range: 19–91). There was an inverse association between AHEI-2010 and incident asthma at survey 4 (ORQ5–Q1: 0.75, 95% CI: 0.57, 0.99). Baseline DQ did not predict the occurrence of any NCDs or multimorbidity between the ages of 25–45 years. Further well-planned, large prospective studies conducted in young women are needed to explore dietary risk factors before the establishment of NCDs.
Collapse
Affiliation(s)
- Hlaing Hlaing-Hlaing
- School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia
- Correspondence:
| | - Xenia Dolja-Gore
- School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia
| | - Meredith Tavener
- School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia
| | - Erica L. James
- School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia
| | - Alexis J. Hure
- School of Medicine and Public Health, University of Newcastle, Callaghan, Newcastle, NSW 2308, Australia
- Hunter Medical Research Institute, New Lambton Heights, Newcastle, NSW 2305, Australia
| |
Collapse
|
15
|
Liu FH, Du ZD, Li XY, Wei YF, Wen ZY, Yan S, Sun ML, Qin X, Gao S, Gong TT, Wu QJ. Pre-diagnosis fiber : carbohydrate intake ratio and mortality of ovarian cancer: results from a prospective cohort study. Food Funct 2022; 13:10046-10054. [PMID: 36093635 DOI: 10.1039/d2fo01379g] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background: The association between the ratio of fiber to carbohydrate (F : C-R) and cancer mortality is not currently well-known. We prospectively evaluated for the first time the aforementioned topic among ovarian cancer (OC) patients. Methods: A total of 703 newly diagnosed OC patients aged 18-79 years were included. Pre-diagnosis diet intake details were collected with a validated food frequency questionnaire. Deaths were ascertained until March 31, 2021, based on medical records and the cancer registry. Cox proportional hazard models were used to evaluate hazard ratios (HRs) and 95% confidence intervals (CIs) between pre-diagnostic fiber, carbohydrate, and F : C-R intake and OC mortality. Restricted cubic splines were used to analyze the potential nonlinear relationship between F : C-R and OC mortality. Results: During the follow-up period (median: 37.2 months; interquartile: 24.7-50.2 months), we observed 130 (18.49%) OC patients died. The pre-diagnosis higher fiber intake (comparing the highest with the lowest tertile of intake: HR = 0.56, 95% CI = 0.35-0.92; HR per 1 SD increment: 0.78, 95% CI = 0.64-0.96; P trend < 0.05) and higher F : C-R intake (comparing the highest with the lowest tertile of intake: HR = 0.51, 95% CI = 0.31-0.85; HR per 1-SD increment: 0.73; 95% CI = 0.59-0.91; P trend < 0.05) were significantly associated with lower mortality for OC patients, but no evidence of the association between pre-diagnosis carbohydrate intake and OC mortality was observed. We found no evidence of a nonlinear relationship between F : C-R and OC mortality. Significant inverse associations were also observed for subgroup analyses stratified by age at diagnosis, menopausal status, residual lesions, histological type, FIGO stage, and body mass index, although not all associations showed statistical significance. Conclusion: Pre-diagnosis high fiber intake and high F : C-R diet intake were associated with a decreased risk of OC mortality.
Collapse
Affiliation(s)
- Fang-Hua Liu
- Department of Clinical Epidemiology, Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, China
| | - Zong-Da Du
- Department of Clinical Epidemiology, Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, China
| | - Xin-Yu Li
- Department of Clinical Epidemiology, Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, China
| | - Zhao-Yan Wen
- Department of Clinical Epidemiology, Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, China
| | - Shi Yan
- Department of Clinical Epidemiology, Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.,Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, China
| | - Ming-Li Sun
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
| | - Xue Qin
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Clinical Research Center, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.,Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China. .,Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, China
| |
Collapse
|
16
|
Pre-diagnosis and post-diagnosis dietary patterns and survival in women with ovarian cancer. Br J Cancer 2022; 127:1097-1105. [DOI: 10.1038/s41416-022-01901-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 06/14/2022] [Accepted: 06/16/2022] [Indexed: 11/08/2022] Open
|
17
|
Yang HJ, Kang Y, Li YZ, Liu FH, Yan S, Gao S, Huo YL, Gong TT, Wu QJ. Relationship between different forms of dietary choline and ovarian cancer survival: findings from the ovarian cancer follow-up study, a prospective cohort study. Food Funct 2022; 13:12342-12352. [DOI: 10.1039/d2fo02594a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Higher levels of pre-diagnosis fat-soluble choline intake was associated with better overall survival of ovarian cancer, and this association was more attributed to phosphatidylcholine.
Collapse
Affiliation(s)
- Hui-Juan Yang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ye Kang
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Zi Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yun-Long Huo
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| |
Collapse
|
18
|
Association between pre-diagnostic dietary pattern and survival of ovarian cancer: Evidence from a prospective cohort study. Clin Nutr 2021; 41:452-459. [PMID: 35007814 DOI: 10.1016/j.clnu.2021.12.033] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 12/19/2021] [Accepted: 12/22/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Evidence for a role of single nutrition or foods on ovarian cancer (OC) survival has been limited and inconclusive. Due to the potentially complex interactions in dietary, we applied dietary patterns to this study to firstly explore the relationship between the pre-diagnosis overall diet and OC survival. METHODS The prospective cohort study was conducted among 853 OC patients aged 18-79 years during 2015-2020. Dietary intake was collected using a validated 111-item food frequency questionnaire. Deaths were obtained by medical records and cancer registry up to March 31, 2021. Cox proportional hazards regression models was used to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations of pre-diagnosis dietary patterns with overall survival (OS). RESULTS Overall, during the follow-up period (median: 37.57 months, interquartile: 25.00-50.17 months), 130 (18.49%) OC patients died. Four dietary patterns were identified: healthy pattern, ethnic pattern, animal foods pattern, and sweet pattern. The highest tertile of the healthy pattern scores was related to better OS compared with the lowest tertile scores (HR = 0.54, 95% CI = 0.30-0.98, p trend <0.05), whereas OC patients with highest adherence to the animal foods pattern was associated with worse OS than those with the lowest adherence (HR = 1.90, 95% CI = 1.14-3.17, p trend <0.05). We found no significant associations between adherence to ethnic pattern and sweet pattern and OS of OC patients. CONCLUSION Pre-diagnosis healthy patterns was associated with better OC survival, whereas animal pattern was associated with worse survival among OC survivals.
Collapse
|
19
|
Zhang YH, Li Z, Tan MZ. Association Between Diet Quality and Risk of Ovarian and Endometrial Cancers: A Systematic Review of Epidemiological Studies. Front Oncol 2021; 11:659183. [PMID: 34084748 PMCID: PMC8168438 DOI: 10.3389/fonc.2021.659183] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/04/2021] [Indexed: 12/24/2022] Open
Abstract
Objectives The relationship between diet quality indices and risk of ovarian and endometrial cancers were unclear. We aimed at conducting a systematic review to evaluate the epidemiological evidence. Methods Embase, PubMed, Web of Science and Scopus databases were searched for eligible studies up to December 2020. Epidemiological studies reported the association of the diet quality with risk of ovarian and endometrial cancers were evaluated. Results Eleven eligible studies were identified, of which six studies were case-control studies, four were cohort studies, and one was case-cohort study. All studies were considered as high-quality with low risk of bias. Seven studies evaluated the association of diet quality with risk of ovarian cancer. Four studies reported null association for diet quality indices such as Healthy Eating Index (HEI)-2005, HEI-2010, Mediterranean Diet Score (MDS) and Recommended Foods Score (RFS). Two studies reported significantly inverse association for Alternate Healthy Eating Index (AHEI)-2010 and Healthy Diet Score (HDS) indices. One study reported significantly increased risk of ovarian cancer associated with higher level of Dietary Guidelines for Americans Index. Dose-response analysis showed pooled relative risks of 0.98 (95%Cl: 0.95, 1.01) and 0.94 (95%Cl: 0.77, 1.13) for each 10 points increase in the HEI-2005 and AHEI-2010 indices. Seven studies evaluated the association of diet quality with risk of endometrial cancer. Three studies reported significantly inverse association of diet quality as assessed by the MDS and Diet Score Quintiles with risk of endometrial cancer. Four studies reported null association for other diet quality indices including HEI-2005, HEI-2010, RFS and HDS. Dose-response analysis showed a pooled relative risk of 0.87 (95%CI: 0.81, 0.93) for one unit increment of the MDS. Conclusion This study suggests little evidence on the association between diet quality and risk of ovarian cancer. Adherence to high quality diet, as assessed by MDS, might be associated with lower the risk of endometrial cancer.
Collapse
Affiliation(s)
- Yu-Hua Zhang
- Department of Gynecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Zhuo Li
- Department of Gynecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Ming-Zi Tan
- Department of Gynecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| |
Collapse
|