scholarly journals Impact of post-diagnosis weight change on survival outcomes in Black and White breast cancer patients

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Lihua Shang ◽  
Masaya Hattori ◽  
Gini Fleming ◽  
Nora Jaskowiak ◽  
Donald Hedeker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Weight Change ◽  
Repeated Measures ◽  
Disease Free Survival ◽  
Survival Outcomes ◽  
Breast Cancer Patients ◽  
Black And White ◽  
Increased Risk

Abstract Purpose To evaluate weight change patterns over time following the diagnosis of breast cancer and to examine the association of post-diagnosis weight change and survival outcomes in Black and White patients. Methods The study included 2888 women diagnosed with non-metastatic breast cancer in 2000–2017 in Chicago. Longitudinal repeated measures of weight and height were collected, along with a questionnaire survey including questions on body size. Multilevel mixed-effects models were used to examine changes in body mass index (BMI). Delayed entry Cox proportional hazards models were used to investigate the impacts of changing slope of BMI on survival outcomes. Results At diagnosis, most patients were overweight or obese with a mean BMI of 27.5 kg/m2 and 31.5 kg/m2 for Blacks and Whites, respectively. Notably, about 45% of the patients had cachexia before death and substantial weight loss started about 30 months before death. In multivariable-adjusted analyses, compared to stable weight, BMI loss (> 0.5 kg/m2/year) showed greater than 2-fold increased risk in overall survival (hazard ratio [HR] = 2.60, 95% CI 1.88–3.59), breast cancer-specific survival (HR = 3.05, 95% CI 1.91–4.86), and disease-free survival (HR = 2.12, 95% CI 1.52–2.96). The associations were not modified by race, age at diagnosis, and pre-diagnostic weight. BMI gain (> 0.5 kg/m2/year) was also related to worse survival, but the effect was weak (HR = 1.60, 95% CI 1.10–2.33 for overall survival). Conclusion BMI loss is a strong predictor of worse breast cancer outcomes. Growing prevalence of obesity may hide diagnosis of cancer cachexia, which can occur in a large proportion of breast cancer patients long before death.

scholarly journals Impact of Post-diagnosis Weight Change on Survival Outcomes in Black and White Breast Cancer Patients

2021 ◽  
Author(s):  
Lihua Shang ◽  
Masaya Hattori ◽  
Gini Fleming ◽  
Nora Jaskowiak ◽  
Donald Hedeker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Weight Change ◽  
Repeated Measures ◽  
Disease Free Survival ◽  
Survival Outcomes ◽  
Breast Cancer Patients ◽  
Black And White ◽  
Increased Risk

Abstract Purpose: To evaluate weight change patterns over time following the diagnosis of breast cancer, and to examine the association of post-diagnosis weight change and survival outcomes in Black and White patients.Methods: The study included 2,888 women diagnosed with non-metastatic breast cancer in 2000-2017 in Chicago. Longitudinal repeated measures of weight and height were collected, along with a questionnaire survey including questions on body size. Multilevel mixed-effects models were used to examine changes in body mass index (BMI). Delayed entry Cox proportional hazards models were used to investigate the impacts of changing slope of BMI on survival outcomes. Results: At diagnosis, most patients were overweight or obese with a mean BMI of 27.5 kg/m2 and 31.5 kg/m2 for Blacks and Whites, respectively. Notably, about 45% of the patients had cachexia before death and substantial weight loss started about 30 months before death. In multivariable-adjusted analyses, compared to stable weight, BMI loss (>0.5 kg/m2/year) showed greater than 2-fold increased risk in overall survival (hazard ratio [HR]=2.60, 95%CI 1.88-3.59), breast cancer specific survival (HR=3.05, 95%CI 1.91-4.86), and disease-free survival (HR=2.12, 95%CI 1.52-2.96). The associations were not modified by race, age at diagnosis, and pre-diagnostic weight. BMI gain (>0.5 kg/m2/year) was also related to worse survival, but the effect was weak (HR=1.60, 95%CI 1.10-2.33 for overall survival).Conclusion: BMI loss is a strong predictor of worse breast cancer outcomes. Growing prevalence of obesity may hide diagnosis of cancer cachexia, which can occur in a large proportion of breast cancer patients long before death.

scholarly journals Impact of Post-diagnosis Weight Change on Survival Outcomes in a Multiethnic Cohort of Breast Cancer Patients

2020 ◽  
Author(s):  
Lihua Shang ◽  
Masaya Hattori ◽  
Gini Fleming ◽  
Nora Jaskowiak ◽  
Donald Hedeker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Weight Change ◽  
Repeated Measures ◽  
Disease Free Survival ◽  
Metastatic Breast ◽  
Survival Outcomes ◽  
Breast Cancer Patients ◽  
Increased Risk

Abstract Purpose: To evaluate weight change patterns over time following the diagnosis of breast cancer, and to examine the association of post-diagnosis weight change and survival outcomes in Black and White patients.Methods: The study included 2,888 women diagnosed with non-metastatic breast cancer in 2000-2017 in Chicago. Longitudinal repeated measures of weight and height were collected, along with a questionnaire survey including questions on body size. Multilevel mixed-effects models were used to examine changes in body mass index (BMI). Delayed entry Cox proportional hazards models were used to investigate the impacts of changing slope of BMI on survival outcomes. Results: At diagnosis, most patients were overweight or obese with a mean BMI of 27.5 kg/m2 and 31.5 kg/m2 for Blacks and Whites, respectively. Notably, about 45% of the patients had cachexia before death and substantial weight loss started about 30 months before death. In multivariable-adjusted analyses, compared to stable weight, BMI loss (>0.5 kg/m2/year) showed greater than 2-fold increased risk in overall survival (hazard ratio [HR]=2.68, 95%CI 1.95-3.66), breast cancer specific survival (HR=2.93, 95%CI 1.86-4.62), and disease-free survival (HR=2.25, 95%CI 1.63-3.11). The associations were not modified by race, age at diagnosis, and pre-diagnostic weight. BMI gain (>0.5 kg/m2/year) was also related to worse survival, but the effect was weak (HR=1.53, 95%CI 1.06-2.22 for overall survival).Conclusion: BMI loss is a strong predictor of worse breast cancer outcomes. Growing prevalence of obesity may hide diagnosis of cancer cachexia, which can occur in a large proportion of breast cancer patients long before death.

Neutrophil-lymphocyte index as prognostic factor for overall survival and disease-free survival in breast cancer patients

2020 ◽  
Vol 33 (4) ◽  
pp. 137-144
Author(s):  
Guillermo Peralta-Castillo ◽  
Antonio Maffuz-Aziz ◽  
Mariana Sierra-Murguía ◽  
Sergio Rodriguez-Cuevas
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Disease Free

Effectiveness of adjuvant chemotherapy in combination with tamoxifen for node-positive postmenopausal breast cancer patients.

1997 ◽  
Vol 15 (4) ◽  
pp. 1385-1394 ◽  
Author(s):  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Postmenopausal Breast Cancer ◽  
Breast Cancer Patients ◽  
Node Positive ◽  
Increased Risk ◽  
Node Positive Disease ◽  
Er Positive ◽  
Risk Of Relapse

PURPOSE Adjuvant tamoxifen has been shown to reduce relapse and mortality among node-positive post-menopausal breast cancer patients. The value of adding chemotherapy to tamoxifen is controversial. PATIENTS AND METHODS Between July 1986 and April 1993, 1,266 postmenopausal breast cancer patients with node-positive disease were randomly assigned to receive one of four adjuvant therapy regimens: (A) tamoxifen alone for 5 years; (B) tamoxifen plus three courses of early cyclophosphamide, methotrexate, and fluorouracil (CMF) on months 1, 2, and 3; (C) tamoxifen plus delayed single courses of CMF on months 9, 12, and 15; (D) tamoxifen plus early and delayed CMF on months 1, 2, 3, 9, 12, and 15. The two-by-two factorial design allowed two direct comparisons: early CMF (B and D) versus no early CMF (A and C), and delayed CMF (C and D) versus no delayed CMF (A and B). Estrogen receptor (ER) status was known for all patients and was used to stratify the randomization. A total of 1, 212 patients (96%) were eligible and assessable. The median follow-up duration was 60 months. RESULTS The results of the two-by-two factorial comparisons were as follows: (1) early CMF added to tamoxifen significantly improved 5-year disease-free survival (DFS; 64% v 57%; hazards ratio [HR], 0.79; 95% confidence interval [CI], 0.66 to 0.95; P = .01); and (2) delayed CMF added to tamoxifen did not improve DFS (5-year DFS, 61% v 60%; HR, 0.97; 95% CI, 0.81 to 1.17; P = .77). For patients with ER-positive tumors, the addition of CMF, either early or delayed or both, reduced the relative risk of relapse by 22% to 36%. In contrast, for patients with ER-negative tumors, tamoxifen with delayed CMF was associated with a nonsignificant increased risk of relapse (HR, 1.27; 95% CI, 0.92 to 1.76; P = .15). CONCLUSION Postmenopausal patients with node-positive breast cancer should be offered combination chemotherapy in addition to tamoxifen. Tamoxifen should not be initiated before CMF, as this might be detrimental, especially for patients with ER-negative tumors.

The prognostic importance of triple negative breast cancer: A population based study in India

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22219-e22219
Author(s):  
B. S. Ajaikumar ◽  
R. Rao ◽  
J. Prabhu ◽  
J. D. Kulkarni ◽  
P. K ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Cancer Patients ◽  
Triple Negative ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Node Status ◽  
Disease Free

e22219 Background: Triple-negative (ER-negative, PR-negative, HER2/neu negative) breast cancer has distinct clinical and pathologic features, and is a clinical problem because of its typically high grade, relatively poor prognosis, aggressive behavior and lack of targeted therapies leaving chemotherapy as the mainstay of treatment. This study envisaged to analyse the influence of triple negativity status on survival and disease free survival in prospective cohort of breast cancer patients. Methods: Breast tumors of 215 women aged 30–75, diagnosed from 2004 were tested for ER, PR and HER2 positivity by immunohistochemistry and correlated with clinical outcomes such as recurrence, disease free survival and overall survival using Kaplan Meiers Survival analysis and Coxs regression analysis. The study cohort was followed up for 60 months or until death whichever was earlier. Results: Triple negativity significantly influenced disease free survival (46 ± 3, 41, 52) vs. non triple negative cohort (mean ± SE; 95%CI, 37 ± 2; 32, 40) and log rank = 2.1, p = 0.04. However triple negativity did not influence overall survival in months (56 ± 0; 55, 56) vs. non triple negative cohort (43 ± 1; 42, 45), (log rank = 1.78, p = 0.16). However, the mean disease free survival was (45 ± 7; 32, 58) months for patients >40 years age vs (37 ± 4; 33, 39) for patients < 40 years of age (log rank = 2.87, p =0.02). Stage of disease, node status, grade and menopausal status did not influence disease free survival significantly. However, Cox regression analysis did not predict significant effects of triple negativity on overall survival or disease free survival when controlled for confounding factors such as age, node status, stage etc Conclusions: Our observations suggest that triple negativity can significantly affect progression of breast cancer in Indian breast cancer patients and longer follow up is necessary (10 years) to determine its effects on survival. No significant financial relationships to disclose.

Statin use and the development of bone metastasis in breast cancer patients.

2012 ◽  
Vol 30 (27_suppl) ◽  
pp. 40-40 ◽  
Author(s):  
Gentry Teng King ◽  
Jeong H. Yun ◽  
Young K. Chae ◽  
Matias E. Valsecchi ◽  
Mark S. Morginstin
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Bone Metastasis ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Bony Metastasis ◽  
Disease Free ◽  
Statin Use

40 Background: The Mevalonic Acid Pathway has been implicated in the promotion of a microenvironment suitable for establishment of bony metastasis from breast cancer. The statins, which act on this pathway, have been shown to have in vitro antineoplastic activity against breast cancer. This study was designed to evaluate the association of statin use and development of bony metastasis in breast cancer patients. Methods: Medical records of patients treated for stage II-III breast cancer from 1999 to 2010 were retrospectively reviewed. Statin use was defined as medication use for at least 3 months in patients with no evidence of disease after initial diagnosis and treatment. The primary outcome was development of metastasis to bone. Secondary outcomes were overall survival, disease free survival and other sites of distant metastasis. Results: A total of 841 patients were included in the study of which 223 used statins. Both unadjusted and multivariate analysis adjusted for age, race, grade, stage, BRCA status, showed that patients on statins had a significantly lower incidence of metastasis to bone (OR 0.49, 95% CI 0.25-0.96, p=0.04). Adjusted analysis for other sites showed a trend towards decreased incidence of metastasis for statin users, but was not statistically significant (95% CI 0.39-1.08, p=0.10). Overall survival was increased in statin users with mean survival of 66.45 +/- 2.48 months versus non-users 58.78 +/ - 1.41 months (p=0.05). Statin users had significantly longer disease free survival with a mean of 63.65 +/- 2.49 months versus 53.96 +/- 1.42 months in non statin users (p=0.00). Conclusions: The use of statin drugs in patients with breast cancer was significantly associated with decreased incidence of metastasis to bone, but not to other distant sites. The role of statins in chemoprevention of bone metastasis should be further explored.

scholarly journals Overall survival and disease-free survival in breast cancer patients treated at the Oncology Centre in Bydgoszcz – analysis of more than six years of follow-up

2015 ◽  
Vol 4 ◽  
pp. 284-289 ◽  
Author(s):  
Tomasz Nowikiewicz ◽  
Magdalena Wiśniewska ◽  
Michał Wiśniewski ◽  
Marta Biedka ◽  
Iwona Głowacka ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Oncology Centre ◽  
Disease Free

scholarly journals Survival Outcomes of Screening with Breast MRI in Women at Elevated Risk of Breast Cancer

2020 ◽  
Vol 2 (1) ◽  
pp. 29-35
Author(s):  
Min Sun Bae ◽  
Janice S Sung ◽  
Blanca Bernard-Davila ◽  
Elizabeth J Sutton ◽  
Christopher E Comstock ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Cancer Detection ◽  
Disease Free Survival ◽  
Breast Mri ◽  
Elevated Risk ◽  
Survival Outcomes ◽  
Interval Cancers ◽  
Increased Risk ◽  
Significant Difference

Abstract Objective To determine survival outcomes in women with breast cancer detected at combined screening with breast MRI and mammography versus screening mammography alone. Methods This is an institutional review board-approved retrospective study, and the need for informed consent was waived. A total of 3002 women with an increased risk of breast cancer were screened between 2001 and 2004. Of the 3002 women, 1534 (51.1%) had 2780 combined screenings (MRI and mammography) and 1468 (48.9%) had 4811 mammography-only screenings. The Χ2 test and the Kaplan-Meier method were used to compare cancer detection rates and survival rates. Results The overall cancer detection rate was significantly higher in the MRI plus mammography group compared with the mammography-only group (1.4% [40 of 2780] vs 0.5% [23 of 4811]; P &lt; 0.001). No interval cancers occurred in the MRI plus mammography group, whereas 9 interval cancers were found in the mammography-only group. During a median follow-up of 10.9 years (range: 0.7 to 15.2), a total of 11 recurrences and 5 deaths occurred. Of the 11 recurrences, 6 were in the MRI plus mammography group and 5 were in the mammography-only group. All five deaths occurred in the mammography-only group. Disease-free survival showed no statistically significant difference between the two groups (P = 0.32). However, overall survival was significantly improved in the MRI plus mammography group (P = 0.002). Conclusion Combined screening with MRI and mammography in women at elevated risk of breast cancer improves cancer detection and overall survival.

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