Association between obesity and the clinical stage of newly diagnosed breast cancer: Experience with 2212 patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12602-e12602
Author(s):  
Bader I Alshamsan ◽  
Kausar Suleman ◽  
Naela Agha ◽  
Marwa Ismail Abdelgawad ◽  
Mashari J Alzahrani ◽  
...  

e12602 Background: Excess weight is currently recognized as a risk factor for several cancer types, including breast cancer. The primary goal of this study was to evaluate the impact of overweight and obesity in newly diagnosed breast cancer patients at the time of presentation. Methods: A retrospective analysis of breast cancer from a prospective database of all newly diagnosed non-metastatic breast cancer patients seen at King Faisal Specialist Hospital and Research Center between 2002 and 2014 was performed. The clinical stages were divided into early stage breast cancer and locally advanced breast cancer. The body mass index (BMI) groups were underweight, normal, overweight, and obese based on the World Health Organization classifications of BMI. The patient characteristics are presented as medians with interquartile ranges (IQRs) and frequencies for continuous and categorical variables, respectively. The association between BMI groups and clinical stage at presentation was evaluated using the logistic regression model. Survival probabilities were calculated using the Kaplan-Meier estimator. Results: In total, 2212 patients were eligible for the study. The median age at diagnosis was 45 (IQR = 39-52) years; 62% patients were pre-menopausal, and 31% were post-menopausal. The median BMI was 30 (IQR = 26-34) kg/m2. In this population, 53% patients were obese; 31%, overweight; and 14.7%, in the normal range at diagnosis. Regression analysis revealed a significant association between clinical stage and BMI at the time of presentation (p = 0.006). Obese patients showed a 40% higher chance of having locally advanced presentation than the normal BMI group (OR = 1.41, 95% confidence interval = 1.06-1.86, p = 0.02). However, overweight had no significant association with clinical stage (OR = 1.03, 95% confidence interval = 0.76-1.8). The median follow-up duration was 39 (IQR = 22-66.6) months. Overall survival showed no significant association with different BMI groups and breast cancer subtypes. Conclusions: The prevalence of overweight and obesity was found to be high (85%) in newly diagnosed breast cancer patients in Saudi Arabia. Obesity is associated with a more advanced clinical stage at the time of diagnosis of breast cancer and may be a contributing factor for more locally advanced presentations in the region.

2018 ◽  
Vol 84 (5) ◽  
pp. 620-627 ◽  
Author(s):  
Elena P. Lamb ◽  
F. Elizabeth Pritchard ◽  
Simonne S. Nouer ◽  
Elizabeth A. Tolley ◽  
Brandon S. Boyd ◽  
...  

Although significant progress has been made in improving breast cancer survival, disparities among racial, ethnic, and underserved groups still exist. The goal of this investigation is to quantify racial disparities in the context of breast cancer care, examining the outcomes of recurrence and mortality in the city of Memphis. Patients with a biopsy-proven diagnosis of breast cancer from January 1, 2002, through December 31, 2012, were obtained from the tumor registry. Black patients were more likely to have advanced (II, III, or IV) clinical stage of breast cancer at diagnosis versus white patients. Black breast cancer patients had a two times higher odds of recurrence (95% confidence interval: 1.4, 3.0) after adjusting for race and clinical stage. Black breast cancer patients were 1.5 times more likely to die (95% confidence interval: 1.2, 1.8), after adjusting for race; age at diagnosis; clinical stage; ER, PR, HER2 status; and recurrence. Black women with stages 0, I, II, and III breast cancer all had a statistically significant longer median time from diagnosis to surgery than white women. Black patients were more likely to have advanced clinical stages of breast cancer at diagnosis versus white patients on a citywide level in Memphis. Black breast cancer patients have higher odds of recurrence and mortality when compared with white breast cancer patients, after adjusting for appropriate demographic and clinical attributes. More work is needed to develop, evaluate, and disseminate interventions to decrease inequities in timeliness of care for breast cancer patients.


2014 ◽  
Vol 146 (1) ◽  
pp. 183-188 ◽  
Author(s):  
C. Arce-Salinas ◽  
J. L. Aguilar-Ponce ◽  
C. Villarreal-Garza ◽  
F. U. Lara-Medina ◽  
D. Olvera-Caraza ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e13108-e13108
Author(s):  
Drew Murray ◽  
Mounika Mandadi

e13108 Background: About 5-10% of breast cancers are hereditary. Identifying women with hereditary breast and ovarian cancer syndromes helps implement screening strategies, chemoprevention regimens, preventative surgeries and identify family members at risk. Little is known about reasons for non-compliance with genetic testing after referral by an oncologist. To gain insight we investigated these barriers in a population of patients in Louisville, Kentucky. Methods: The study design was a IRB approved single institution retrospective analysis of all newly diagnosed breast cancer patients in the year 2014. Data on age, gender, race, education, insurance status, family history, referral orders and genetic testing results were analyzed for 204 patients. Characteristics of patients who received genetic testing after referral was made were compared to patients who did not receive genetic testing, despite referral. The categorical variables were compared using the Pearson Chi-square test for contingency tables while the t-test was used for continuous variables. Significance level was set at p≤0.05. All calculations are performed with SAS statistical software (SAS Institute Inc., Cary, NC). Results: Of 204 newly diagnosed breast cancer patients seen in 2014, 109 met NCCN guidelines for genetic testing. 89 total patients were referred for genetic testing. 67 patients received genetic testing after referral, while 22 patients did not receive the testing despite being referred. 29 patients met criteria for testing but were never referred. Statistical significance existed (P = 0.019) for the insurance status variable, those with private insurance being more likely to receive testing after being referred, and those without insurance being less likely to show up for genetic testing after being referred. There was no statistical significance for age(P = 0.787), race(P = 0.555), or education (P = 0.322). Conclusions: Being covered by private insurance was associated with increased completion of genetic testing after being referred by an oncologist. Age, race, and education did not impact the likelihood of receiving testing if referred. Further investigations will be made into reasons for non-referral in patients who met NCCN guidelines for testing.


2021 ◽  
Vol 13 ◽  
pp. 175883592199667
Author(s):  
Jin Hong ◽  
Yiwei Tong ◽  
Jianrong He ◽  
Xiaosong Chen ◽  
Kunwei Shen

Background: Axillary node status is used in clinical practice to guide the selection of axillary surgery in breast cancer patients. However, to date, the optimal axillary management following neoadjuvant therapy (NAT) for breast cancer remains controversial. Our study aimed to investigate the association of molecular subtype, clinical stage, and ypN status after NAT in breast cancer patients, especially those achieving breast pathological complete remission (pCR). Patients and methods: Patients receiving ⩾4 cycles of NAT were retrospectively included between January 2009 and January 2020. ypN status was compared among patients with different breast pCR statuses, clinical stages, and molecular subtypes in univariate and multivariate analyses. Results: A total of 1999 patients were included: 457 (22.86%), 884 (44.22%), and 658 (32.92%) patients with cT1-2N0, cT1-2N1, and locally advanced breast cancer (LABC), respectively. Altogether, 435 (21.8%) patients achieved breast pCR: 331 with ypN– and 104 with ypN+ status. Patients achieving breast pCR had a significantly lower ypN+ rate than those without pCR [23.9% versus 62.5%, odds ratio (OR) = 0.14, 95% confidence interval (CI) = 0.09–0.21]. For patients with breast pCR, the ypN+ rate was 6.4%, 25.7%, and 33.9% in cT1-2N0, cT1-2N1, and LABC patients, respectively ( p < 0.001). Furthermore, the ypN+ rate was 30.8%, 16.8%, 17.5%, 29.6%, and 27.6% in breast pCR patients with the Luminal A, Luminal B (HER2+), HER2-amplified, Luminal B (HER2–), and triple-negative subtype, respectively. Luminal B (HER2+) (OR = 0.20, 95% CI = 0.05–0.82) and HER2-amplified (OR = 0.19, 95% CI = 0.05–0.83) tumors were associated with lower ypN+ rates. Moreover, 100% of breast pCR patients with cT1-2N0 and HER2-positive disease achieved pathological pN0. Conclusion: In breast pCR patients after NAT, clinical stage and molecular subtype were significantly associated with ypN status. Patients with cT1-2N0 and HER2-positive disease who achieved breast pCR had a very low ypN+ rate, possibly indicating the possibility for de-escalation of axillary surgery in this patient subgroup.


Author(s):  
Nils Martin Bruckmann ◽  
Julian Kirchner ◽  
Lale Umutlu ◽  
Wolfgang Peter Fendler ◽  
Robert Seifert ◽  
...  

Abstract Objectives To compare the diagnostic performance of [18F]FDG PET/MRI, MRI, CT, and bone scintigraphy for the detection of bone metastases in the initial staging of primary breast cancer patients. Material and methods A cohort of 154 therapy-naive patients with newly diagnosed, histopathologically proven breast cancer was enrolled in this study prospectively. All patients underwent a whole-body [18F]FDG PET/MRI, computed tomography (CT) scan, and a bone scintigraphy prior to therapy. All datasets were evaluated regarding the presence of bone metastases. McNemar χ2 test was performed to compare sensitivity and specificity between the modalities. Results Forty-one bone metastases were present in 7/154 patients (4.5%). Both [18F]FDG PET/MRI and MRI alone were able to detect all of the patients with histopathologically proven bone metastases (sensitivity 100%; specificity 100%) and did not miss any of the 41 malignant lesions (sensitivity 100%). CT detected 5/7 patients (sensitivity 71.4%; specificity 98.6%) and 23/41 lesions (sensitivity 56.1%). Bone scintigraphy detected only 2/7 patients (sensitivity 28.6%) and 15/41 lesions (sensitivity 36.6%). Furthermore, CT and scintigraphy led to false-positive findings of bone metastases in 2 patients and in 1 patient, respectively. The sensitivity of PET/MRI and MRI alone was significantly better compared with CT (p < 0.01, difference 43.9%) and bone scintigraphy (p < 0.01, difference 63.4%). Conclusion [18F]FDG PET/MRI and MRI are significantly better than CT or bone scintigraphy for the detection of bone metastases in patients with newly diagnosed breast cancer. Both CT and bone scintigraphy show a substantially limited sensitivity in detection of bone metastases. Key Points • [18F]FDG PET/MRI and MRI alone are significantly superior to CT and bone scintigraphy for the detection of bone metastases in patients with newly diagnosed breast cancer. • Radiation-free whole-body MRI might serve as modality of choice in detection of bone metastases in breast cancer patients.


2010 ◽  
Vol 36 (11) ◽  
pp. 1122
Author(s):  
Rajeshkumar Balasubramanian ◽  
D. Leff ◽  
F. Aref ◽  
L. Wilding ◽  
S. Salakianathan ◽  
...  

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