[Association of Body Mass Index and Weight Gain With Obesity-Related Breast Cancer Risk Biomarkers in Adult Chinese Women].

Objective: To investigate the associatiojn of body mass index (BMI) at different stages of life and weight gain in adulthood with obesity-related breast cancer risk biomarkers and to provide evidence for formulating policies concerning the prevention and control of breast cancer. Methods: A cross-sectional study was designed based on the follow-up cohort of southwest China community-based breast cancer screening of women. Using sequential sampling, eligible participants were enrolled from the cohort as the subjects of the study. Information on the basic risk factors was collected and the height, weight, and plasma biomarker levels were measured. Multiple linear regression model was applied to analyze the associations of early adulthood BMI (defined as the BMI of the participant at age 20), adulthood BMI (defined as the BMI measured at the time of enrollment), and weight gain in adulthood with the biomarkers. The concentrations of the biomarkers were incorporated in the model after log transformation. Results: The average age of the 442 participants was 49 (45, 54) years old, the average early adulthood BMI and adulthood BMI were 21.47 (19.56, 23.11) and 24.10 (22.59, 25.97) kg/m 2, respectively, and the average weight gain in adulthood was 6.60 (2.00, 11.00) kg. Adulthood BMI was negatively associated with adiponectin level ( ß=-0.026, 95% CI: -0.045--0.008, P=0.006), and positively associated with C-reactive protein level ( ß=0.095, 95% CI: 0.054-0.137, P<0.001) and leptin receptor level ( ß=0.090, 95% CI: 0.063-0.117, P<0.001). No association was found between adulthood BMI and resistin levels or between adulthood BMI and insulin-like growth factor-binding protein-3 levels. BMI in early adulthood was found to be negatively associated with only insulin-like growth factor-binding protein-3 levels ( ß=-0.039, 95% CI: -0.068--0.010, P=0.009). Further analysis of adulthood weight gain after the age of 20 revealed that average annual weight gain in adulthood was negatively associated with adiponectin levels and positively associated with 4 other biomarkers. Furthermore, compared with those of women whose weight remained stable, the adiponectin level of women whose weight gain in adulthood exceeded 5.00 kg was much lower ( ß=-0.185, 95% CI: -0.320--0.049, P=0.008), while their insulin-like growth factor-binding protein-3 ( ß=0.389, 95% CI: 0.183-0.594, P<0.001) and leptin receptor ( ß=0.245, 95% CI: 0.048-0.442, P=0.015) levels were higher. Conclusion: Weight gain in adulthood is strongly associated with the changes in obesity-related breast cancer risk biomarkers. Women should maintain a stable weight throughout adulthood and it is preferred that their weight gain should not exceed 5.00 kg.

Associations between changes of smartphone pedometer-assessed step counts and levels of obesity-related breast cancer biomarkers in non-cancer women: A population-based observational study.

While a higher level of physical activity (PA) is inversely associated with a higher breast cancer (BC) risk, the health benefits of daily steps on obesity-related BC biomarkers remain unclear. We aimed to understand the associations of changes in step counts with levels of five obesity-related BC biomarkers during a two-year follow-up. In total, 144 non-cancer women (47.96 ± 5.72) were observed on both 2019 and 2021. A structured questionnaire, daily steps and fasting blood samples were collected before (t0, 2019) and after (t1, 2021). Levels of biomarkers (IGF-binding proteins 3, adiponectin, soluble leptin receptor, C-reactive protein, and resistin) were assayed by ELISA. Participants were divided into persistent low steps, decreasing steps, increasing steps, and persistent high steps. Associations of categories on proposed biomarkers were estimated using linear regression models, with persistent low steps as reference. Associations between time-varying step counts with biomarkers were quantified using mixed linear models. Compared with persistent low steps, increasing steps is associated with a reduction in C-reactive protein level (ß=-0.74, 95%CI=-1.23--0.26, P-value = 2.98 × 10-3). An inverse association between time-varying step counts with C-reactive protein level was identified, consistent across different obesity types and baseline step level categories. No association with daily step counts was observed for other proteins.

Increases in BMI contribute to worsening inflammatory biomarkers related to breast cancer risk in women: a longitudinal study.

BACKGROUND: Inflammatory adipokines and cytokines play a pivotal role in linking obesity and breast cancer (BC) risk in women. We investigated the longitudinal associations between BMI change and trajectories of inflammatory biomarkers related to BC risk. METHODS: A longitudinal study was conducted among 442 Chinese women with 3-year repeated measures from 2019 to 2021. Plasma circulating inflammatory biomarkers related to BC risk, including adiponectin (ADP), resistin (RETN), soluble leptin receptor (sOB-R), insulin-like growth factor-binding protein-3 (IGFBP-3), and C-reactive protein (CRP), were examined annually. Linear mixed-effect models (LMM) were applied to investigate associations of time-varying BMI with trajectories of biomarkers. We additionally examined the modification effect of baseline BMI groups, menopausal status, and metabolic syndrome. RESULTS: BMI was associated with increased levels of RETN, CRP, sOB-R, and decreased levels of ADP at baseline. An increasing BMI rate was significantly associated with an average 3-year increase in RETN (ß = 0.019, 95% CI 0.004 to 0.034) and sOB-R (ß = 0.022, 95% CI 0.009 to 0.035), as well as a decrease in ADP (ß = - 0.006, 95% CI - 0.012 to 0.001). These associations persisted across different baseline BMI groups. An increasing BMI rate was significantly associated with an average 3-year increase in CRP levels among normal weight (ß = 0.045, 95% CI 0.001 to 0.088) and overweight (ß = 0.060, 95% CI 0.014 to 0.107) women. As BMI increased over time, a more remarkable decrease in ADP was observed among women with metabolic syndrome (ß = - 0.016, 95% CI - 0.029 to - 0.004) than those without metabolic syndrome at baseline. CONCLUSIONS: A higher increase rate of BMI was associated with poorer trajectories of inflammatory biomarkers related to BC risk. Recommendations for BMI reduction may benefit BC prevention in women, particularly for those with metabolic syndrome.

[Effectiveness of Different Testing Strategies Applied for Cervical Cancer Screening in Shuangliu District, Chengdu City].

Objective: To evaluate the clinical value of different combination strategies of high-risk HPV (hr-HPV) testing and Thinprep cytology test (TCT), a cervical cytology test, for cervical cancer screening, especially for high or higher-grade squamous intraepithelial lesion (HSIL+) in Shuangliu District, Chengdu City. Methods: The study is a population-based randomized clinical trial. Women aged 35 to 65 years meeting the inclusion criteria were enrolled for the study. At the baseline screening conducted in the first year, the participants were randomly assigned to either cytology test or hr-HPV testing at a ratio of 1∶2. If the paticipants had positive results for the baseline hr-HPV test, they would then undergo either cytology test or colposcopy by random assignment. After 24 months, all participants were called back, and combined screening of cytology test and hr-HPV test were performed. Women who had negative results at baseline screening and who entered and completed the third-year follow-up were selected as the subjects of the study. Based on the aforementioned testing findings, the related data were extracted and four different screening protocols were simulated: 1) combined TCT and hr-HPV screening, with referral for colposcopy when there was positive results for either one of the two; 2) combined TCT and hr-HPV screening, with referral for colposcopy when both tests had positive results at the same time; 3) TCT was done for preliminary screening and those who were found to be positive would then undergo hr-HPV test for triage purpose, with subsequent referral made for colposcopy if the hr-HPV results were positive; 4) hr-HPV was done for preliminary screening and those who were found to be positive would then undergo TCT, with subsequent referral made for colposcopy if TCT results were positive. With the detection of HSIL+ on histological examination as the endpoint event, the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under curve ( AUC) of different combination screening models were calculated. Results: A total of 3102 women were screened, and 2967 women were included in the statistical analysis in this study. Among the 2967 women, 979 were randomized to cytology and 1988 to hr-HPV genotyping. For prescreening, the positive rate of the cytology group was 5.6% (55/979), with of HSIL+ positive rate being 0.2% (2/979), while the positive rate of the hr-HPV group was 7.5% (149/1988), with HSIL+ positive rate being 0.9% (18/1988). After 24 months, 2456 women were called back and were given cervical cytology test and hr-HPV test at the same time. Among them, the positive rate of the cytology group was 3.2% (78/2456), while the positive rate of hr-HPV group was 8.7% (215/2456). The overall positive rate of HSIL+ was 0.69%(17/2456). Women with a negative baseline hr-HPV had a lower incidence of HSIL+ lesions in the long term. The strategy of cervical cytology screening combined with hr-HPV test for triage purpose is the best method, with a sensitivity of 88.9%, a specificity of 58.3%, a PPV of 44.4%, a NPV of 93.3%, and an AUC of 0.736, P=0.039 (95% CI: 0.555-0.917). Conclusion: This randomized clinical trial from Shuangliu District, Chengdu City shows that the sensitivity of hr-HPV testing is better than that of cytology test, and the prevalence of HSIL+ in women with negative baseline hr-HPV results is lower than that of women with negative baseline cytology results. The screening program of TCT for prescreening plus subsequent hr-HPV test for triage purpose shows better value for the detection of HSIL+.