Dietary Patterns and Breast Cancer Risk: A Multi-Centre Case Control Study among North Indian Women

Breast cancer incidence trends in Golestan, Iran: An age-period-cohort analysis by ethnic region, 2004-2018

BACKGROUND

We aimed to examine the effects of age, diagnosis year (calendar period) and birth year (cohort) on the incidence trends of breast cancer among Golestan women, Northeast Iran, 2004-2018.

METHODS

Incidence data were obtained by residential status (urban/rural) and ethnic region (Turkmens/non-Turkmens). We calculated age-standardized incidence rates (ASRs) per 100,000 person-years. The estimated annual percentage change (EAPC) were calculated, and age-period-cohort (APC) models fitted to assess non-linear effects of period and cohort as incidence rate ratios (IRRs).

RESULTS

The total number of female breast cancer cases in Golestan, 2004-2018, were 3853, with an overall ASR of 31.3. We found higher rates in urban population (40.5) and non-Turkmens region (38.5) compared to rural area (20.8) and Turkmens region (20.2), respectively. There were increasing trends in incidence rates overall (EAPC= 4.4; 95%CI: 2.2, 6.7), with greater changes in rural areas (EAPC=5.1), particularly among non-Turkmens (EAPC=5.8). The results of the APC analysis indicate the presence of significant non-linear cohort effects with increasing IRRs across successive birth cohorts (IRR=0.1 and IRR= 2.6 for the oldest and the youngest birth cohorts vs. the reference birth cohort, respectively).

CONCLUSION

We found increasing trends in breast cancer incidence among Golestan women over the study period, with disparities in patterns and trends by residence area and ethnic region. The observed cohort effects suggest an increasing prevalence of key risk factors for breast cancer in this Iranian population. Further investigations are warranted to clarify the relationships between determinants such as reproductive factors and ethnicity in the region.

Association of Dietary Factors and Physical Inactivity with Molecular Subtypes of Breast Cancer- Hospital Based Case-Control Study

Improper diet and physical inactivity are environmental risk factors for breast cancer (BC). This study evaluated the association of dietary risk factors and physical activities with different molecular subtypes of BC. We conducted a case-control study among 130 cases of BC and 150 age-matched controls. Demographic data and tissue marker status were obtained. Diet was assessed using Food Frequency Questionnaire and physical activity was determined using Physical Activity Questionnaire. The association between diet and physical activity with the cancer status was evaluated by Pearson's Correlation. Among the various dietary factors, refined oil displayed a weak albeit significant positive correlation (r = 0.344) to Luminal B subtype of BC. Consumption of all kinds of non-vegetarian food exhibited significant elevation in BC risk with OR > 1.9 (95% CI 0.825-2.707). A higher odds ratio (>1.66) was observed in individuals who had a limited intake of fruits. Furthermore, a strong association was found between low physical activity and breast cancer risk, with around 14.6% of cases being distinctly linked to this risk (OR = 3.33, 95% CI 1.158-9.403, p < 0.01). In essence, while dietary factors exhibited a negative correlation with breast cancer risk, the risk was heightened by physical inactivity.

Dietary patterns and breast cancer risk, prognosis, and quality of life: A systematic review

Background

Statistics indicate that the morbidity of breast cancer is increasing globally, and its (overall figures) incidence has now surpassed that of lung cancer for the first time. The relation between a whole dietary pattern, rather than of a single food or nutrient, and breast cancer (BC) should be examined for findings to capture the complexities of diet and the potential for synergism between dietary components. Hence, the effects of dietary patterns on breast cancer have recently attracted increasing attention.

Objective

To systematically review the effects of dietary patterns on breast cancer risk, prognosis, and quality of life in survivors.

Methods

This systematic review was conducted following PRISMA guidelines and was registered in PROSPERO. Data from Ovid, China Biomedical Literature Database, Wanfang Data Knowledge Service Platform, CNKI, PubMed, Weipu, The Cochrane Library, Duxiu Data, ProQuest, Embase, Web of Science, and Scopus Database were retrieved and evaluated.

Results

A total of 47 studies that investigated the association between eating patterns and breast cancer were identified. Ten studies evaluated the effect of the model on treatment outcome and prognosis of breast cancer and two cross-sectional studies examined the influence of dietary patterns on quality of life. The resulting favorable dietary patterns were shown to regulate metabolic biomarkers, antioxidants, anti-inflammatory agents, and protective genes, and inhibit cell proliferation and invasion.

Conclusion

Numerous studies have examined the effects of healthy eating, plant-based, anti-inflammation, low-fat, and other favorable dietary patterns in relation to breast cancer. However, few studies reported significant associations and the studies had limitations, suggesting that the current findings should be interpreted with caution.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, CRD4202 2350171.

Global Increase in Breast Cancer Incidence: Risk Factors and Preventive Measures

Breast cancer is a global cause for concern owing to its high incidence around the world. The alarming increase in breast cancer cases emphasizes the management of disease at multiple levels. The management should start from the beginning that includes stringent cancer screening or cancer registry to effective diagnostic and treatment strategies. Breast cancer is highly heterogeneous at morphology as well as molecular levels and needs different therapeutic regimens based on the molecular subtype. Breast cancer patients with respective subtype have different clinical outcome prognoses. Breast cancer heterogeneity emphasizes the advanced molecular testing that will help on-time diagnosis and improved survival. Emerging fields such as liquid biopsy and artificial intelligence would help to under the complexity of breast cancer disease and decide the therapeutic regimen that helps in breast cancer management. In this review, we have discussed various risk factors and advanced technology available for breast cancer diagnosis to combat the worst breast cancer status and areas that need to be focused for the better management of breast cancer.

Plant-Based Diets and Cancer Risk: What is the Evidence?

PURPOSE OF REVIEW

The purpose of this review is to summarize the recent (past 5 years) available evidence regarding the association between plant-based diets on cancer risk from clinical trials and observational studies. Biological mechanisms and gaps in the current literature will also be discussed.

RECENT FINDINGS

There is a lack of intervention studies but there are abundant observational studies assessing the association between plant-based diets and cancer risk, including multiple longitudinal cohort studies and similar data from case-control studies that demonstrate a decreased overall cancer risk with plant-based diets. Case-control studies support a decreased risk of colorectal and breast cancers with plant-based diets, but results for specific cancers remain inconsistent in cohort studies. Current evidence from observational studies indicates an inverse association between plant-based diets and overall cancer risk. Future research should include intervention studies, address inconsistencies in dietary assessment methods and provide greater detail on underrepresented groups.

The Lack of Association between Plant-Based Dietary Pattern and Breast Cancer: a Hospital-Based Case-Control Study

Our purpose was to assess the association between plant-based dietary patterns and breast cancer (BrCa) among Iranian women. This hospital-based case-control study included 150 newly diagnosed BrCa cases and 150 age-matched controls from the Cancer Research Center, Imam Khomeini hospital, Iran. Three indices of a plant-based diet were first calculated: plant-based diet index (PDI), the healthy PDI (hPDI), and the unhealthy PDI (uPDI). In the overall PDI, all plant foods scored positively. In hPDI and uPDI, healthy and less healthy plant foods scored positive, respectively. The adjusted odds ratio (OR) in the highest adherence of PDI was 1.00 (95% confidence interval [CI], 0.55-1.83). In hPDI, 0.89 (95% CI, 0.49-1.62); in uPDI, 1.80 (95% CI, 0.95-3.42). The adjusted OR after subgroup analysis for body mass index (BMI) was as follow, BMI > 25: 0.77(95% CI, 0.37-1.61) comparing highest with the lowest tertile of PDI, 0.91(95% CI, 0.44-1.89) comparing highest with the lowest tertile of hPDI and this value for uPDI was 2.04 (95% CI, 0.91-4.56). BMI < 25: OR for top tertile of PDI was 1.82 (95% CI, 0.48-6.93), top tertile of hPDI was 1.47 (95% CI, 0.35-6.22) and top tertile of uPDI was 2.29 (95% CI, 0.54-9.70). Our results revealed no significant association between none of the PDIs and the chance of BrCa in Iranian women. Continued and expanded research, evaluated by different methods and BrCa is urgently needed to build the foundation for future progress in evidence-based public health efforts.

Adherence to plant-based dietary pattern and risk of breast cancer among Iranian women

OBJECTIVES

Previous studies assessed the link between plant based diet and breast cancer risk rather than healthy and unhealthy plant based diet. This study examined the relation between plant-based dietary pattern and risk of breast cancer among Iranian women.

METHODS

This hospital-based case-control study was conducted among 412 women with pathologically confirmed breast cancer within the past year and 456 apparently healthy controls. Dietary data were collected using a validated and reliable 168-item FFQ. We created three patterns including overall plant-based diet index (PDI), a healthful plant-based diet index (hPDI), and an unhealthful plant-based diet index (uPDI). The risk of breast cancer was compared across quartiles of PDI, hPDI, and uPDI.

RESULTS

we did not find significant association between adherence to PDI and uPDI score and odds of breast cancer among women. However, a greater score of hPDI was inversely associated to the risk of breast cancer (OR: 0.63; 95% CI: 0.43-0.93, P = 0.01), in the crude model. After adjustment for age and energy, we saw stronger association between breast cancer risk and higher hPDI score (OR: 0.55; 95% CI: 0.37-0.82, P = 0.002). After stratified by menopausal status, we did not find significant association between PDI and uPDI score and risk of breast cancer. However, pre- and postmenopausal women in the highest quartile of hPDI score had lower risk of breast cancer than those in the lowest quartile.

CONCLUSIONS

we found an inverse significant association between hPDI and odds of breast cancer in the whole population of study. After stratifying by menopausal status, this correlation was also seen both in pre and postmenopausal women.