scholarly journals Milk Consumption Decreases Risk for Breast Cancer in Korean Women under 50 Years of Age: Results from the Health Examinees Study

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 32 ◽  
Author(s):  
Woo-Kyoung Shin ◽  
Hwi-Won Lee ◽  
Aesun Shin ◽  
Jong-koo Lee ◽  
Daehee Kang
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Epidemiologic Studies ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Milk Consumption ◽  
Korean Women

Epidemiologic studies regarding breast cancer risk related to milk consumption remain controversial. The aim of this study was to evaluate the association between milk consumption and the risk for breast cancer. A total of 93,306 participants, aged 40–69 years, were included in the prospective cohort study in the Health Examinees-Gem (HEXA-G) study between 2004 and 2013. Dietary intake was assessed using a validated food frequency questionnaire. Information on cancer diagnosis in the eligible cohort was retrieved from the Korea Central Cancer Registry through 31 December 2014. The Cox proportional hazards model was used to estimate multivariate hazard ratios (HRs) and 95% confidence intervals (CIs). A total of 359 breast cancer cases were observed over a median follow-up period of 6.3 years. Milk consumption was not associated with decreased risk for breast cancer in the total population (p for trend = 0.0687). In women under 50 years of age, however, milk consumption was inversely associated with breast cancer risk. In the comparison between highest (≥1 serving/day) and lowest (<1 serving/week) intake categories of milk, the multivariate HR (95% CI) was 0.58 (0.35–0.97, p for trend = 0.0195)) among women under 50 years of age. In conclusion, our findings show that milk consumption in Korean women aged 50 or younger is associated with a decreased risk for breast cancer, when compared to those who never or rarely consumed milk. Further studies need to be conducted to assess this relationship and confirm these results.

Relationship between taxane-induced neuropathy and clinical outcomes after adjuvant chemotherapy.

2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 270-270 ◽  
Author(s):  
B. P. Schneider ◽  
M. Wang ◽  
V. Stearns ◽  
S. Martino ◽  
V. E. Jones ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Disease Free Survival ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Time Dependent ◽  
Individual Treatment ◽  
Axillary Lymph ◽  
Landmark Analysis

270 Background: Neuropathy is a common and potentially enduring and disabling complication of adjuvant taxane therapy. Recent studies have identified candidate host single nucleotide polymorphisms (SNPs) associated with taxane-induced neuropathy (Schneider et al. ASCO 2011, abstr. 1000). We therefore sought to determine whether neuropathy was associated with breast cancer recurrence. Methods: This study included 4,950 eligible women with axillary lymph node positive or high-risk node-negative breast cancer who received up to 4 cycles of AC (doxorubicin 60 mg/m2 and cyclophosphamide 600 mg/m2) every 3 weeks, followed by either: (1) paclitaxel 175 mg/m2 every 3 weeks x 4 (P3), (2) paclitaxel 80 mg/m2 weekly x 12 (P1), (3) docetaxel 100 mg/m2 every 3 weeks x 4 (D3), or (4) docetaxel 35 mg/m2 weekly x 12 (D1). Chemotherapy doses were based on actual body weight. Cox proportional hazards model were used to determine the relationship between neuropathy and disease free survival (DFS) and overall survival (OS) treating neuropathy status as a time dependent covariate and using a landmark analysis. Results: Of 4,702 patients who received at least 1 taxane dose, grade 2-4 neuropathy developed in 20%, 27%, 16%, and 16% in the P3, P1, D3, and D1 arms, respectively. In a model including age, tumor size, nodal status, treatment arm, neuropathy, and the neuropathy- treatment interaction, there was no relationship between neuropathy and DFS and OS in the entire population, for any of the individual treatment arms, or for any breast cancer subtypes, whether analyzed as a time-dependent covariate or using a landmark analysis. Baseline covariates associated with an increase rate of neuropathy included black race (25% vs. 19% grade 2-4, p=0.02) and obesity (21% vs. 19%, p=0.04), but not age. Conclusions: There was no association between taxane-induced neuropathy and DFS or OS in patients treated with contemporary AC-taxane therapy, including weekly paclitaxel. These findings show that taxane-induced neuropathy is not associated with outcome, thus suggesting that validation of SNPs predictive of neuropathy may be useful in identifying patients at higher risk for neuropathy but not taxane benefit and thereby improve therapeutic individualization.

Effect of Physical Comorbidities on Risk of Depression in Multiple Sclerosis

2009 ◽  
Vol 11 (4) ◽  
pp. 161-165 ◽  
Author(s):  
Ruth Ann Marrie ◽  
Gary Cutter ◽  
Tuula Tyry ◽  
Denise Campagnolo ◽  
Timothy Vollmer
Keyword(s):  
Multiple Sclerosis ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Research Committee ◽  
The North ◽  
Increased Risk

Depression in multiple sclerosis (MS) may be due to several factors, including the presence of physical comorbidities. Using the North American Research Committee on Multiple Sclerosis (NARCOMS) Registry, we examined whether individuals with MS and physical comorbidities have an increased risk of depression compared with those without physical comorbidities and whether they are more likely to remain untreated for depression. In 2006, NARCOMS participants reported their physical and mental comorbidities and completed the Center for Epidemiologic Studies Depression Scale (CESD). We defined a CESD score of 21 or higher as indicating probable major depression. Individuals with elevated CESD scores but no diagnosis of depression were considered undiagnosed. Forty-six percent of participants reported a lifetime history of depression. In a multivariable Cox proportional hazards model, reporting any physical comorbidity was associated with an increased risk of being diagnosed with depression (hazard ratio [HR], 2.20; 95% confidence interval [CI], 2.04–2.38) after MS onset and with an increased risk of diagnosed or undiagnosed depression (HR, 2.37; 95% CI, 2.21–2.54). After adjustment for education, participants with any physical comorbidity were more likely to report treatment for depression (odds ratio [OR], 1.67; 95% CI, 1.24–2.23). Patients with MS and physical comorbidities are at increased risk of depression, but they are more likely to be diagnosed and treated than MS patients without other chronic conditions.

scholarly journals Body Fat and Breast Cancer Risk in Postmenopausal Women: A Longitudinal Study

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Thomas E. Rohan ◽  
Moonseong Heo ◽  
Lydia Choi ◽  
Mridul Datta ◽  
Jo L. Freudenheim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Women ◽  
Body Fat ◽  
Fat Mass ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Anthropometric Indices ◽  
Cox Proportional Hazards Models

Associations between anthropometric indices of obesity and breast cancer risk may fail to capture the true relationship between excess body fat and risk. We used dual-energy-X-ray-absorptiometry- (DXA-) derived measures of body fat obtained in the Women’s Health Initiative to examine the association between body fat and breast cancer risk; we compared these risk estimates with those for conventional anthropometric measurements. The study included 10,960 postmenopausal women aged 50–79 years at recruitment, with baseline DXA measurements and no history of breast cancer. During followup (median: 12.9 years), 503 incident breast cancer cases were diagnosed. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox proportional hazards models. All baseline DXA-derived body fat measures showed strong positive associations with breast cancer risk. The multivariable-adjusted HR for the uppermost quintile level (versus lowest) ranged from 1.53 (95% CI 1.14–2.07) for fat mass of the right leg to 2.05 (1.50–2.79) for fat mass of the trunk. Anthropometric indices (categorized by quintiles) of obesity (BMI (1.97, 1.45–2.68), waist circumference (1.97, 1.46–2.65), and waist : hip ratio (1.91, 1.41–2.58)) were all strongly, positively associated with risk and did not differ from DXA-derived measures in prediction of risk.

scholarly journals Antibiotics modulate neoadjuvant therapy efficiency in patients with breast cancer: a pilot analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xi Zhang ◽  
Long Yu ◽  
Jiajie Shi ◽  
Sainan Li ◽  
Shiwei Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Therapy ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Antibiotic Administration ◽  
Hazards Model ◽  
Kaplan Meier ◽  
The Impact

AbstractMounting evidence suggests that microbiota dysbiosis caused by antibiotic administration is a risk factor for cancer, but few research reports focus on the relationships between antibiotics and chemotherapy efficiency. We evaluated the influence of antibiotic administration on neoadjuvant therapy efficacy in patients with breast cancer (BC) in the present study. BC patients were stratified into two groups: antibiotic-treated and control based on antibiotic administration within 30 days after neoadjuvant therapy initiation. Disease-free survival (DFS) and overall survival (OS) were assessed using the Kaplan–Meier method, and the Cox proportional hazards model was used for multivariate analyses. The pathologic complete response rate of the control group was significantly higher than that of the antibiotic-treated group (29.09% vs. 10.20%, p = 0.017). Further univariate analysis with Kaplan–Meier calculations demonstrated that antibiotic administration was strongly linked with both reduced DFS (p = 0.04) at significant statistical levels and OS (p = 0.088) at borderline statistical levels. Antibiotic administration was identified as a significant independent prognostic factor for DFS [hazard ratio (HR) 3.026, 95%, confidence interval (CI) 1.314–6.969, p = 0.009] and OS (HR 2.836, 95% CI 1.016–7.858, p = 0.047) by Cox proportional hazards model analysis. Antibiotics that initiated reduced efficiency of chemotherapy were more noticeable in the HER2-positive subgroup for both DFS (HR 5.51, 95% CI 1.77–17.2, p = 0.003) and OS (HR 7.0395% CI 1.94–25.53, p = 0.003), as well as in the T3-4 subgroup for both DFS (HR 20.36, 95% CI 2.41–172.07, p = 0.006) and OS (HR 13.45, 95% CI 1.39–130.08, p = 0.025) by stratified analysis. Antibiotic administration might be associated with reduced efficacy of neoadjuvant therapy and poor prognosis in BC patients. As a preliminary study, our research made preparations for further understanding and large-scale analyses of the impact of antibiotics on the efficacy of neoadjuvant therapy.

Prognostic Factors and Survival Outcomes among Patients with Breast Cancer and Brain Metastases at Diagnosis: A National Cancer Database Analysis

Oncology ◽  
2021 ◽  
Vol 99 (5) ◽  
pp. 280-291
Author(s):  
Brittney S. Zimmerman ◽  
Danielle Seidman ◽  
Krystal P. Cascetta ◽  
Meng Ru ◽  
Erin Moshier ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Brain Metastases ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Breast Cancer Diagnosis ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
National Cancer Database ◽  
Hazards Model ◽  
Sites Of Metastases

Introduction: The aim of this study was to assess for clinicopathologic and socioeconomic features that predict improved survival for patients with advanced breast cancer with synchronous brain metastases at diagnosis. Methods: We utilized the National Cancer Database (NCDB) to identify all patients with brain metastases present at diagnosis, with adequate information on receptor status (ER, PR, Her2), clinical T stage of cT1-4, clinical M1, with 3,943 patients available for analysis. The association between brain metastases patterns and patient/disease variables was examined by robust Poisson regression model. Cox proportional hazards model was used to quantify the associations between overall survival (OS) and these variables. Results: In univariable analysis, OS was significantly associated with the number of sites of metastases (p < 0.0001). Patients with 2 or more additional extracranial sites of metastases had significantly worse OS (median 8.8 months, 95% confidence interval [CI] 7.8, 9.9) than patients with brain metastases only (median OS 10.6 months, 95% CI 9.4, 12.9) or brain metastases plus one other extracranial site of metastases (median OS 13.1 months, 95% CI 11.8, 14.4). Risk factors which predicted poor prognosis included triple-negative disease, high comorbidity score, poorly differentiated tumors, invasive lobular histology, multi-organ involvement of metastases, and government or lack of insurance. Factors which improve survival include younger age and Hispanic race. Discussion/Conclusion: Using a large NCDB, we identified various factors associated with prognosis for patients with brain metastases at the time of breast cancer diagnosis. Insurance status and related socioeconomic challenges provide potential areas for improvement in care for these patients. This information may help stratify patients into prognostic categories at the time of diagnosis to improve treatment plans.

A randomized trial of two dose levels of cyclophosphamide, methotrexate, and fluorouracil chemotherapy for patients with metastatic breast cancer.

1988 ◽  
Vol 6 (9) ◽  
pp. 1377-1387 ◽  
Author(s):  
I F Tannock ◽  
N F Boyd ◽  
G DeBoer ◽  
C Erlichman ◽  
S Fine ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Metastatic Breast ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Rank Test ◽  
Primary Surgery ◽  
Dose Levels

This study was designed to assess the role of dosage of chemotherapy for treatment of metastatic breast cancer. One hundred thirty-three patients without prior chemotherapy for metastatic disease were randomly allocated to receive two different dose levels of cyclophosphamide (C), methotrexate (M), and fluorouracil (F), administered intravenously (IV) every 3 weeks. Patients were stratified by sites of disease (visceral, bone, or soft-tissue dominant) and by interval from primary surgery to first recurrence. Doses on the higher-dose arm were 600 mg/m2 (C,F) and 40 mg/m2 (M) with escalation if possible; doses on the lower-dose arm were 300 mg/m2 (C,F) and 20 mg/m2 (M) without escalation. Patients who failed to respond to lower-dose CMF were crossed over to the higher-dose arm. Patients randomized to the higher-dose arm had longer survival measured from initiation of chemotherapy (median survival, 15.6 months v 12.8 months, P = .026 by log-rank test), but the effect of dose was of borderline significance (P approximately 0.12) when adjusted for a chance imbalance between the two arms in the time from first relapse to randomization, using the Cox proportional hazards model. Response rates (International Union Against Cancer [UICC] criteria) for patients with measurable disease were higher-dose arm: 16/53 (30%) and lower-dose arm: 6/53 (11%), (P = .03). Only one of 37 patients responded on crossover from the lower- to the higher-dose arm. Patients experienced more vomiting, myelosuppression, conjunctivitis, and alopecia when receiving higher doses of chemotherapy. A series of 34 linear analogue self-assessment scales were used to make detailed quality of life assessments on a subset of 49 patients. These scales confirmed greater toxicity in the immediate posttreatment period, but also a trend to improvement in general health and some disease-related indices, in patients receiving higher-dose chemotherapy. This trial suggests that better palliation is achieved by using full-dose chemotherapy.

scholarly journals No association between coffee, tea or caffeine consumption and breast cancer risk in a prospective cohort study

2011 ◽  
Vol 14 (7) ◽  
pp. 1315-1320 ◽  
Author(s):  
Guy Fagherazzi ◽  
Marina S Touillaud ◽  
Marie-Christine Boutron-Ruault ◽  
Françoise Clavel-Chapelon ◽  
Isabelle Romieu
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Proportional Hazards ◽  
Menopausal Status ◽  
Cox Proportional Hazards ◽  
Caffeine Intake ◽  
Caffeine Consumption ◽  
Receptor Status

AbstractObjectiveNumerous mechanisms for the effects of coffee, tea and caffeine on the risk of breast cancer have been suggested. Caffeine intake has already been associated with high plasma levels of female hormones, but associations have not been clearly demonstrated in epidemiological studies.DesignWe examined prospectively the association of coffee, tea and caffeine consumption with breast cancer risk in a French cohort study.SettingDietary information was obtained from a 208-item diet history questionnaire self-administered in 1993–1995. Multivariable Cox proportional hazards regression models were used to estimate hazards ratios and 95 % confidence intervals.SubjectsThe study was conducted on 67 703 women with available dietary information. During a median follow-up of 11 years, 2868 breast cancer cases were diagnosed.ResultsMedian intake was 280 ml/d (2·2 cups/d) for coffee and 214 ml/d (1·7 cups/d) for tea. Median caffeine intake was 164 mg/d. No association was found between consumption of coffee, tea or caffeine and breast cancer risk. Sub-analyses by tumour receptor status, menopausal status, type of coffee (regular or decaffeinated) and meals at which beverages were drunk led to the same conclusion.ConclusionsResults from this prospective study showed no relationship between coffee, tea or caffeine intake and breast cancer risk overall or by hormone receptor status.

scholarly journals Blood Arsenic Levels as a Marker of Breast Cancer Risk among BRCA1 Carriers

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3345
Author(s):  
Wojciech Marciniak ◽  
Tomáš Matoušek ◽  
Susan Domchek ◽  
Angelo Paradiso ◽  
Margherita Patruno ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Breast Cancers ◽  
Lifetime Cancer Risk ◽  
Pathogenic Variants ◽  
Inherited Susceptibility ◽  
Increased Risk

An important group of breast cancers is those associated with inherited susceptibility. In women, several predisposing mutations in genes involved in DNA repair have been discovered. Women with a germline pathogenic variant in BRCA1 have a lifetime cancer risk of 70%. As part of a larger prospective study on heavy metals, our aim was to investigate if blood arsenic levels are associated with breast cancer risk among women with inherited BRCA1 mutations. A total of 1084 participants with pathogenic variants in BRCA1 were enrolled in this study. Subjects were followed from 2011 to 2020 (mean follow-up time: 3.75 years). During that time, 90 cancers were diagnosed, including 67 breast and 10 ovarian cancers. The group was stratified into two categories (lower and higher blood As levels), divided at the median (<0.85 µg/L and ≥0.85 µg/L) As level among all unaffected participants. Cox proportional hazards models were used to model the association between As levels and cancer incidence. A high blood As level (≥0.85 µg/L) was associated with a significantly increased risk of developing breast cancer (HR = 2.05; 95%CI: 1.18–3.56; p = 0.01) and of any cancer (HR = 1.73; 95%CI: 1.09–2.74; p = 0.02). These findings suggest a possible role of environmental arsenic in the development of cancers among women with germline pathogenic variants in BRCA1.

scholarly journals Factors Affecting Survival in Patients with Breast Cancer in Hamedan Province from 2001 to 2018

2019 ◽  
Vol 12 (4) ◽  
pp. 31-38
Author(s):  
Rasoul Najafi ◽  
Fatemeh Amiri ◽  
Ghodrat Roshanaei ◽  
Mohammad Abbasi ◽  
Mahdi Razi
Keyword(s):  
Breast Cancer ◽  
Survival Rate ◽  
Cancer Progression ◽  
Tumor Size ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Rates ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Factors Affecting

Introduction: Breast cancer is the most common cancer and one of the leading causes of death in women. Identification of factors affecting the survival rate of these patients is important for the prevention of breast cancer progression and better treatment. Methods: This retrospective cohort study was performed on 493 women with breast cancer referred to Imam Khomeini clinic in Hamadan between 2001 and 2018. The Kaplan-Meier method and the Cox proportional hazard model were used to estimate the survival rate and factors affecting patient survival. All analyses were performed using SPSS 21. Results: The mean (standard deviation) age of the patients was 49.75 (11.34) years, and the 5- and 10-year survival rates were 61% and86%, respectively. The Cox proportional hazards model showed a significant relationship between age(HR (%95 CI)=1.53(1.23-2.78)) and tumor size (HR (%95 CI)=1.49(1.16-2.89)) and mortality risk (P < 0.05). Conclusion: Age and tumor size are associated with survival in patients with breast cancer. Therefore, increasing women’s awareness of the benefits of periodic examinations and early diagnosis can contribute to early detection of the disease and improved survival.

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