Purpose
Guidelines from the aromatase inhibitor era for early breast cancer (EBC) treatment recommend maintaining a body mass index (BMI) below 25. In the current era of CDK 4/6 inhibitors, now standard in metastatic breast cancer (MBC), limited data exist on treatment outcomes in obese patients. This study investigates how adiposity affects the treatment outcome of CDK 4/6 inhibitors in patients with hormone receptor (HR)-positive, HER2-negative MBC.
Materials and Methods
We searched PubMed, MEDLINE, and Embase databases, assessing efficacy outcomes such as progression-free survival (PFS) based on obesity markers, including BMI and visceral adipose tissue (VAT) index.
Results
Twelve studies were reviewed, with seven studies and 1,812 patients included in a pooled meta-analysis. Among patients with BMI ≥25, modest improvement in PFS was observed, with a pooled hazard ratio (HR) of 0.944 (95% CI, 0.909-0.980; p = 0.003). Besides, add-on analysis using VAT to define obesity revealed a notable PFS improvement, with a pooled HR of 0.452 (95% CI, 0.256-0.798; p = 0.006).
Conclusion
While BMI-defined obesity showed slight PFS improvement with CDK 4/6 inhibitors and endocrine therapy, using VAT to define obesity revealed significant PFS gains. This highlights the need for further research on biomarker to clarify the role of adiposity in MBC, which may differ from its impact in EBC.
Purpose This study aimed to estimate the risk of cancer incidence and mortality according to adherence to lifestyle-related cancer prevention guidelines.
Materials and Methods Men and women who participated in the general health screening program in 2002 and 2003 provided by the National Health Insurance Service were included (n=8,325,492). Self-reported smoking, alcohol consumption, and physical activity habits and directly measured body mass index were collected. The participants were followed up until the date of cancer onset or death or 31 December 2018. The Cox proportional hazard model was used to evaluate the hazard ratio (HR) for cancer incidence and mortality according to different combinations of lifestyle behaviors.
Results Only 6% of men and 15% of women engaged in healthy behavior at baseline, such as not smoking, not drinking alcohol, being moderately or highly physically active, and within a normal body mass index range. Compared to the best combination of healthy lifestyle behaviors, the weak and moderate associations with increased all cancer incidence (HR < 1.7) and mortality (HR < 2.5) were observed in those with heavy alcohol consumption and in former or current smokers. HRs of cancer mortality were significantly increased among current smokers in most combinations.
Conclusion Compared to full adherence to cancer prevention recommendations, unhealthy behaviors increase cancer risk. As few people meet these recommendations, there is a great opportunity for cancer prevention.
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Purpose
Obesity has been determined to be associated with fat mass and obesity-associated (FTO) gene and thyroid cancer risk. However, the effect of combined interactions between obesity and the FTO gene on thyroid cancer needs further investigation. This study aimed to examine whether interactions between body mass index (BMI) and the FTO gene are associated with an increased risk of thyroid cancer.
Materials and Methods
A total of 705 thyroid cancer cases and 705 sex- and age-matched normal controls were selected from the Cancer Screenee Cohort in National Cancer Center, Korea. A conditional logistic regression model was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the measure of associations and the combined effect of BMI and FTO gene on thyroid cancer.
Results
BMI was associated with an increased risk of thyroid cancer in subclasses of overweight (23-24.9 kg/m2; adjusted OR, 1.50; 95% CI, 1.12 to 2.00) and obese (≥ 25 kg/m2) (adjusted OR, 1.62; 95% CI, 1.23 to 2.14). There were positive associations between the FTO genetic variants rs8047395 and rs8044769 and an increased risk of thyroid cancer. Additionally, the combination of BMI subclasses and FTO gene variants was significantly associated with thyroid cancer risk in the codominant (rs17817288), dominant (rs9937053, rs12149832, rs1861867, and rs7195539), and recessive (rs17817288 and rs8044769) models.
Conclusion
Findings from this study identified the effects of BMI on thyroid cancer risk among individuals carrying rs17817288, rs9937053, rs12149832, rs1861867, rs7195539, and rs8044769, whereas the effects of BMI may be modified according to individual characteristics of other FTO variants.
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Purpose
The evidence on effects of TV viewing time among premenopausal and postmenopausal women for breast cancer risk remains controversial and limited.
Materials and Methods
A prospective study encompassing 33,276 (17,568 premenopausal, and 15,708 postmenopausal) women aged 40-79 years in whom TV viewing time, menstrual, and reproductive histories were determined by a self-administered questionnaire. The follow-up was from 1988 to 2009 and hazard ratios (HRs) with 95% confidence intervals (CIs) of breast cancer incidence were calculated for longer TV viewing time in reference to shorter TV viewing time by Cox proportional hazard models.
Results
During 16.8-year median follow-up, we found positive associations between TV viewing time and breast cancer incidence with a borderline significant trend among total women and a significant trend among postmenopausal women. Among total women, the multivariable HRs (95% CIs) for risk of breast cancer in reference to < 1.5 hr/day of TV viewing time were 0.89 (0.59-1.34) for 1.5 to < 3.0 hr/day, 1.19 (0.82-1.74) for 3.0 to < 4.5 hr/day, and 1.45 (0.91-2.32) for ≥ 4.5 hr/day (p for trend=0.053) and among postmenopausal women, the corresponding risk estimates were 1.10 (0.42-2.88), 2.54 (1.11-5.80), and 2.37 (0.92-6.10) (p for trend=0.009), respectively.
Conclusion
Prolonged TV viewing time was associated with increased risk of breast cancer, especially among postmenopausal women.
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Purpose
Few studies investigated roles of body mass index (BMI) on gastric cancer (GC) risk according to Helicobacter pylori infection status. This study was conducted to evaluate associations between BMI and GC risk with consideration of H. pylori infection information.
Materials and Methods
We performed a case-cohort study (n=2,458) that consists of a subcohort, (n=2,193 including 67 GC incident cases) randomly selected from the Korean Multicenter Cancer Cohort (KMCC) and 265 incident GC cases outside of the subcohort. H. pylori infection was assessed using an immunoblot assay. GC risk according to BMI was evaluated by calculating hazard ratios (HRs) and their 95% confidence intervals (95% CIs) using weighted Cox hazard regression model.
Results
Increased GC risk in lower BMI group (< 23 kg/m2) with marginal significance, (HR, 1.32; 95% CI, 0.98 to 1.77) compared to the reference group (BMI of 23-24.9 kg/m2) was observed. In the H. pylori non-infection, both lower (< 23 kg/m2) and higher BMI (≥ 25 kg/m2) showed non-significantly increased GC risk (HR, 10.82; 95% CI, 1.25 to 93.60 and HR, 11.33; 95% CI, 1.13 to 113.66, respectively). However, these U-shaped associations between BMI and GC risk were not observed in the group who had ever been infected by H. pylori.
Conclusion
This study suggests the U-shaped associations between BMI and GC risk, especially in subjects who had never been infected by H. pylori.
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Purpose
Considering the health impact of obesity and cancer, it is important to estimate the burden of cancer attributable to high body mass index (BMI). Therefore, the present study attempts to measure the health burden of cancer attributable to excess BMI, according to cancer sites.
Materials and Methods
The present study used nationwide medical check-up sample cohort data (2002-2015). The study subjects were 496,390 individuals (268,944 men and 227,446 women). We first calculated hazard ratio (HR) in order to evaluate the effect of excess BMI on cancer incidence and mortality. Then, the adjusted HR values and the prevalence of excess BMI were used to calculate the population attributable risk. This study also used the Global Burden of Disease method, to examine the health burden of obesity-related cancers attributable to obesity.
Results
The highest disability-adjusted life year (DALY) values attributable to overweight and obesity in men were shown in liver cancer, colorectal cancer, and gallbladder cancer. Among women, colorectal, ovarian, and breast (postmenopausal) cancers had the highest DALYs values attributable to overweight and obesity. Approximately 8.0% and 12.5% of cancer health burden (as measured by DALY values) among obesity-related cancers in men and women, respectively, can be prevented.
Conclusions
Obesity has added to the health burden of cancer. By measuring the proportion of cancer burden attributable to excess BMI, the current findings provide support for the importance of properly allocating healthcare resources and for developing cancer prevention strategies to reduce the future burden of cancer.
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Purpose
We evaluated the impact of postoperative body mass index (BMI) shifts on the quality of life (QoL) following total gastrectomy in patients with gastric cancer.
Materials and Methods
QoL data collected from the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire (QLQ)-C30 and QLQ-STO22 questionnaires were obtained from 417 patients preoperatively and 1 year after surgery. Patients were divided into two groups based on changes in BMI: group 1 comprised patientswhose BMIrange category dropped, and group 2 included patients who maintained or rose to a higher category compared to their preoperative BMI category.
Results
There were 276 patients in group 1 and 141 in group 2. QoLs with respect to the global health status and functional scales were not significantly different between the groups 1 year after surgery. However, there were significantly greater decreases in QoL in group 1 due to gastrointestinal symptoms, such as nausea and vomiting (p=0.008), appetite loss (p=0.001), and constipation (p=0.038). Of the QLQ-STO22 parameters, dysphagia (p=0.013), pain (p=0.012), reflux symptoms (p=0.017), eating restrictions (p=0.007), taste (p=0.009), and body image (p=0.009) were associated with significantly worse QoL in group 1 than in group 2 1 year after surgery.
Conclusion
Patients have significantly different QoLs depending on the BMI shift after total gastrectomy. Efforts to reduce the gap in QoL should include intensive nutritional support and restoration of dietary behaviors. Appropriate clinical and institutional approaches, plus active medical interventions, are required for maintaining patients’ BMIs after surgery.
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Sebastia Sabater, Meritxell Arenas, Roberto Berenguer, Ignacio Andres, Esther Jimenez-Jimenez, Ana Martos, Jesus Fernandez-Lopez, Mar Sevillano, Angeles Rovirosa
Cancer Res Treat. 2015;47(3):473-479. Published online November 24, 2014
Purpose
Association between body mass index (BMI) and doses in organs at risk during postoperative vaginal cuff brachytherapy (VCB) treatment has not been evaluated. The aim of this study was to analyse the impact of BMI on the dose delivered to bladder and rectum during high-dose-rate VCB using computed tomography (CT) scans at every fraction.
Materials and Methods
A retrospective analysis of 220 planning CT sets derived from 59 patients was conducted.
Every planning CT was re-segmented and re-planned under the same parameters. Rectum and bladder dose-volume histogram values (D0.1cc, D1cc, and D2cc) were extracted and evaluated. The mean values for all applications per patient were calculated and correlated with BMI, as well as other factors influencing rectal and bladder doses. Multiple regression analysis performed to model organ at risk dose-volume parameters.
Results
According to World Health Organization (WHO), 6.8% of patients were normal, 35.6% were
overweight, and 57.6% were class I obese. Median rectal doses were 133.5%, 110.9%, and 99.3% for D0.1cc, D1cc, and D2cc, respectively. The corresponding median bladder doses were 96.2%, 80.6%, and 73.3%, respectively. BMI did not show significant association with rectal doses. However, BMI did show a significant association with evaluated bladder dose metrics (D0.1cc, r=–0.366, p=0.004; D1cc, r=–0.454, p < 0.001; D2cc, r=–0.451, p < 0.001). BMI was retained in the multivariate regression models (D0.1cc, p=0.004; D1cc, p < 0.001; D2cc, p=0.001).
Conclusion
In this group of Mediterranean, overweight, and moderately obese patients, BMI showed
association with lower bladder dose values, but not with rectal doses.
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PURPOSE This study was conducted to investigate whether breast cancer with p53 protein overexpression (p53+) and loss of p16 protein expression (p16-) shows different body size indicator (height, weight, body mass index) associations as compared with breast tumors without p53 protein overexpression and the loss of p16 expression (p53-, p16+). MATERIALS AND METHODS A hospital based case-control study was conducted among 92 women patients and 122 control subjects. The p53 protein overexpression and loss of p16 protein expression in the tissue sections of patients with breast cancer were determined using immunohistochemistry. RESULTS A total of 26 tumors (28%) demonstrated p53 overexpression and 35 tumors (46%) showed abnormal p16 expression. The heaviest women had a higher risk with p53- and p16+ breast tumors. The odds ratios (OR) adjusted for age, menopausal status, smoking, and drinking revealed a significant gradient of increasing risk of breast cancer with increasing BMI in p53- and p16+ breast cancer. The adjusted ORs for the highest quintile of BMI was 8.51 with p53+ tumors and 14.2 with p53- tumors, and 55.6 with p16+ tumors and 3.72 with p16- tumors.
p53 protein overexpression and the loss of p16 expression did not significantly correlate with nodal status, tumor size, estrogen or progesterone receptor status. CONCLUSION The study concluded that a strong association between p53-/p16+ tumors and BMI suggests the occurrence of p53-/p16+ tumors is related with obesity as compared to p53-/p16+ tumors.
PURPOSE A hospital-based case-control study was designed to assess whether obesity may differ in breast cancer risk according to the estrogen receptor (ER) or progesterone receptor (PR) status. MATERIALS AND METHODS Information on life-styles was obtained in a hospital-based cancer registry at the Aichi Cancer Center Hospital, Japan, 1988~1992. Newly diagnosed cases with breast cancer (n=1,154) and controls with no history of cancer (n=21,714) were selected. Body mass index with known and suspected risk factors for breast cancer was included simultaneously in the logistic regression model. Hypothesis tests for differences in odds ratios were done by Wald test based on the polytomous logistic regression models. RESULTS Both current weight and body mass index were significantly related to the risk of breast cancer; OR for body weight per 5 kg=1.11 (1.05~1.73), OR for body mass index per 10 kg/m2=1.54 (1.25~1.90). The risks of both body weight and body mass index, however, was not modified by ER, nor by PR. CONCLUSION This study strongly suggests that obesity may be associated with breast cancer risk. The possibility that obesity differs according to hormonal receptor status should be pursued in further studies.
PURPOSE Because the breast cancer is one of the major causes of mortality among women, it is important to identify modifiable risk factors for this disease. Some reported that overweight/obesity is a risk factor for breast cancer, but the results are not consistent. Human breast cancer has different characteristics according to the status of menopause (premenopause and postmenopause). For the premenopaused women, the majority of the relevant prospective studies support an inverse relationship between body mass index and the development of breast cancer. In contrast, for the postmenopaused women, a positive relationship between body mass index and development of breast cancer has been reported in only half of prospective studies on this topic. This study was undertaken to determine the role of body size and body mass index by status of menopause in development of breast cancer in Korea using retrospective case-control study. MATERIALS AND METHODS The breast cancer cases (n=683) and controls (n=501) were recruited from January 1993 to April 1998 at the Asan Medical Center. The authors collected information on demographic, reproductive and anthropometric characteristics by interviews. Quetelets index was calculated using height and weight. Multiple logistic regression was done to estimate adjusted odds ratios (ORs) by menopausal status, controlling age, age at first full-tenn pregnancy, age at menarche, number of parity, family history of breast cancer. RESULTS Overall, there was a moderate, but significant association between obesity and breast cancer. Among premenopausal women, in comparison with women whose weights were less than 50 kg, the ORs for the upper quintile group of weight was 1.71 (95% confidence interval (CI), 1.01~2.89). The heaviest premenopausal women had a higher risk (OR=1.16, 95% CI, 1.05~1.29, P=0.005). The adjusted OR for the highest quintile of BMI relative to the lowest was 2.02 (95% CI, 1.18~3.45). Higher body mass index was significantly associated with increased risk of premenopausal breast cancer (OR=1.08, 95% CI, 1.02~1.15, P=0.006). Among postmenopausal women, higher body mass index and weight were associated with increased risk of breast cancer. In comparison with women whose weights were less than 50 kg, the OR for the upper quintile group of weight was 2.08 (95% CI, 1.064.08). The adjusted OR for the highest quintile of BMI relative to the lowest was 2.02 (95% CI, 1.02~4.01). CONCLUSION Our findings suggest that overweight/obesity may play an important role in the incidence of premenopausal and postmenopausal breast cancer in Korea.
Keun Young Yoo, Sue Kyung Park, Joohun Sung, Daehee Kang, Young Cheol Kim, Han Sung Kang, Jun Suk Suh, Jee Soo Kim, Ik Jin Yun, Sehwan Han, Dong Young Noh, Kyk Jin Choe
PURPOSE A hospital-based case-control study was conducted to find out risk factors for developing breast cancer in Korea. MATERIALS AND METHODS Histologically confirmed incident cases of breast cancer(n=280) were selected from inpatients at the Department of General Surgery, Seoul National University Hospital during 1994 to 1997. Women with free of self-reporting past history of any malignancies were regarded as controls who were selected from the inpatients at the Department of Obstetrics and Gynecology of the same hospital during 1992 to 1994(n=930). Information on life-styles including reproductive factors were obtained by direct interview using questionnaire. Age- and education-adjusted odds ratio and 95% confidence interval were estimated by unconditional linear logistic regression. RESULTS Based on the risk factors identified by both this study and other epidemiologic studies previously performed in Korea, high risk group for female breast cancer in Korea was established as follows. (1) women with age over 50, (2) women who have a family history of breast cancer, (3) women with age at menarche before 14-year old, (4) women with age at menopause after 50-year old, (5) women who were not experienced a full term pregnancy, (5) nulliparous women (6) women with age at her first fullterm pregnancy after 35-year old (7) women who were not experienced breast feeding, (8) women with body mass index more than 25 kg/m2 or with body weight more than 64 kg. CONCLUSION Life-time risk of breast cancer, as an indicator of absolute risk, according to the risk factors should be pursued in further prospective studies with community population.