Disease and treatment characteristics of breast cancer in an urban, low-income hospital following a major hurricane: A temporal and racial analysis.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e12503-e12503
Author(s):  
Naomi Gadinsky ◽  
Melissa Lina Keeport ◽  
Adeline Jae Hyun Shin ◽  
Sudesh Srivastav ◽  
Rebecca Kruse-Jarres

e12503 Background: The Medical Center of Louisiana, New Orleans (MCLNO) serves a metropolitan area and is the only hospital delivering care to the indigent population in the area. Hurricane Katrina devastated New Orleans on 8/29/05. No oncology services were available for two years. We examined characteristics/care for patients with breast cancer 2 years after re-opening clinics compared with the subsequent 2.5 years. Differences between Whites (W) and African Americans (AA) were examined and compared to state and national averages. Methods: After IRB approval, we reviewed charts of patients establishing care for breast cancer at MCLNO between 09/07-05/12: Group 1 (09/07-08/09) vs. Group 2 (09/09 – 05/12). Racial analysis was done between W and AA independent of temporal factors. Results: Our cohort included 153 patients (25 W, 105 AA , and 23 other race): Group 1- 68 patients, Group 2- 85. There were no significant temporal or racial differences in age, race, insurance, menopausal status, family history, cancer type, stage, or treatment regimen. More AA were triple negative (25.5% AA, 0% W; p= 0.002). Compared to state and national averages, our patients underwent more mastectomies: 58% mastectomy (M) and 42% lumpectomy (L) - compared to Louisiana (M - 50.7%, L - 48.7%) and the National (M - 42.0%, L - 57.8%) data. Our cohort presented with more advanced disease: 10.5% presented with stage IV breast cancer, which is higher than the state average (6.0%) and the national average (5.5%). Conclusions: Despite the suspicion that tumor presentation would be worse after a delay in access to care due to Katrina and that AA might have even worse characteristics, our data showed this not to be the case. Interesting was the finding that triple negative cancers seemed to be an AA phenomenon. It is important to continue following these patients to see how these presenting and prognostic factors will affect long term patient outcomes. [Table: see text]

2020 ◽  
pp. 75-80
Author(s):  
S.A. Lyalkin ◽  
◽  
L.A. Syvak ◽  
N.O. Verevkina ◽  
◽  
...  

The objective: was to evaluate the efficacy of the first line chemotherapy in patients with metastatic triple negative breast cancer (TNBC). Materials and methods. Open randomized study was performed including 122 patients with metastatic TNBC. The efficacy and safety of the first line chemotherapy of regimens АТ (n=59) – group 1, patients received doxorubicine 60 мг/м2 and paclitaxel 175 мг/м2 and ТР (n=63) – group 2, patients received paclitaxel 175 мг/м2 and carboplatin AUC 5 were evaluated. Results. The median duration of response was 9.5 months (4.5–13.25 months) in patients received AT regimen and 8.5 months (4.7–12.25 months), in TP regimen; no statistically significant differences were observed, р=0.836. The median progression free survival was 7 months (95% CI 5–26 months) in group 1 and 7.5 months (95% CI 6–35 months) in group 2, p=0.85. Both chemotherapy regimens (AT and TP) had mild or moderate toxicity profiles (grade 1 or 2 in most patients). No significant difference in gastrointestinal toxicity was observed. The incidence of grade 3–4 neutropenia was higher in patients of group 2 (TP regimen): 42.8% versus 27% (р<0.05). Conclusions. Both regimens of chemotherapy (AT and TP) are appropriate to use in the first line setting in patients with metastatic TNBC. Key words: metastatic triple negative breast cancer, chemotherapy, progression free survival, chemotherapy toxicity.


2021 ◽  
Vol 23 (1) ◽  
pp. 82-87
Author(s):  
Natalia I. Samaneva ◽  
Liubov I. Vladimirova ◽  
Irina V. Kolyadina ◽  
Elena M. Frantsiyants ◽  
Anna E. Storozhakova ◽  
...  

Relevance. Breast cancer (BC) is among the most common cancers and the leading causes of cancer death in women worldwide. Much attention is paid to the problem of its hormoneresistance; however, the issues of using prognostic markers and predictors in routine cancer clinical practice remain unresolved. Aim. Study and analysis of prognostic significance of clinical and biological factors and parameters of the hormonal profile in patients with primary inoperable HER2-negative breast cancer receiving neoadjuvant chemotherapy. Materials and methods. The study included 162 patients with locally advanced primary inoperable HER2-negative breast cancer. Patients were divided into 2 groups. Group 1 included 58 patients with early disease progression within 6 to 12 months after radical surgical treatment. Group 2 included 104 patients with no disease progression within 2 years after radical surgical treatment. In all cases, diagnosis was verified histologically and immunohistochemically. Levels of prolactine, progesterone, estradiol, luteinizing hormone (LH), follicle-stimulating hormone, testosterone and cortisol were measured by RIA. The blood plasma values in 20 healthy donors were used as reference one. The data were processed using the Statistica 7.0 and MedCalc (version 9.3.5.0) programs. All patients received combination antitumor treatment according to clinical guidance. Results. An analysis of the overall (OS) and event-free (EFS) survival in group 1 showed that the median EFS in patients with luminal B BC was 9 months, with triple-negative BC (TNBC) 8 months. 6-month EFS in luminal B subtype was 87.5%, in TNBC 79.4%, p=0.37985. 1-year EFS was 1.721.7% regardless of the biological subtype. The median OS in luminal B BC was 25 months, in TNBC 26 months. 1-year OS in luminal B BC 100%, in TNBC 93.9%, p=0.138. 2-year OS in luminal B BC 54.2%, in TNBC 55.9%, p=0.697. 3-year survival in luminal B BC 37.5%, in TNBC 41.2%, p=0.639. An analysis of OS and EFS in group 2 showed that the median EFS was not reached for all biological subtypes. 3-year survival in the group was 100% regardless of the biological subtype. The median OS was not reached for all biological subtypes. 3-year OS in the group was 100%. An analysis of the hormonal profile in the treatment dynamics showed decreased levels of estradiol in all groups of patients (by 1.6 times). In group 1, progesterone was decreased by 2.1 times, testosterone by 2.4 times and LH by 2.1 times in all BC subtypes (p0.05). Patients of group 2 showed 2 times reduced cortisol and 3 times reduced prolactin in all BC subtypes, while LH levels were elevated by 1.6 times in luminal A and B BC. Conclusion. Aggressive course was observed similarly in triple-negative cancer as well as in luminal cancer with primary hormone resistance. Studying of pituitary and sex hormones and cortisol have a great clinical significance in patients with all biological subtypes of BC. This should be taken into account when predicting the course of the disease and developing further treatment options.


Author(s):  
Ismail Yurtsever ◽  
Lutfullah Sari ◽  
Mehmet Ali Gultekin ◽  
Huseyin Toprak ◽  
Haci Mehmet Turk ◽  
...  

Background and Purpose: Recent studies have shown that diffusion tensor imaging (DTI) parameters are used to follow the patients with breast cancer and correlate well as a prognostic parameter of breast cancer. However, as far as we know there is no data to compare the DTI features of breast cancer brain metastases according to molecular subtypes in the literature. Our aim is to evaluate whether there are any differences in DTI parameters of brain metastases in patients with breast cancer according to molecular subtypes. Methods: Twenty-seven patients with breast cancer and 82 metastatic brain lesions were included. We classified subjects into three subgroups according to their hormone expression; Group 0, triple negative (n; 6, 19 lesions), group 1, HER2-positive (n;16, 54 lesions) and group 2, hormone positive group (n; 5, 9 lesions). The apparent diffusion coefficient (ADC), fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD) values in DTI were measured and compared between three groups. Results: ADC, AD and RD values of group 2 were significantly lower compared to group 0. No significant differences were found in FA, ADC, AD and RD values between the group 0 and 1 and the group 1 and 2. Conclusion: Metastasis of aggressive triple negative breast cancer showed higher ADC values compared to less aggressive hormone positive group. Higher ADC values in brain metastases of breast cancer may indicate a poor prognosis, so DTI findings could play a role in planning appropriate treatment.


2019 ◽  
Vol 15 (7) ◽  
pp. 738-742 ◽  
Author(s):  
Adnan Badran ◽  
Atia-tul-Wahab ◽  
Sharmeen Fayyaz ◽  
Elias Baydoun ◽  
Muhammad Iqbal Choudhary

Background:Breast cancer is the most prevalent cancer type in women globally. It is characterized by distinct subtypes depending on different gene expression patterns. Oncogene HER2 is expressed on the surface of cell and is responsible for cell growth regulation. Increase in HER2 receptor protein due to gene amplification, results in aggressive growth, and high metastasis in cancer cells.Methods:The current study evaluates and compares the anti-breast cancer effect of commercially available compounds against HER2 overexpressing BT-474, and triple negative MDA-MB-231 breast cancer cell lines.Results:Preliminary in vitro cell viability assays on these cell lines identified 6 lead molecules active against breast cancer. Convallatoxin (4), a steroidal lactone glycoside, showed the most potent activity with IC50 values of 0.63 ± 0.56, and 0.69 ± 0.59 µM against BT-474 and MDA-MB-231, respectively, whereas 4-[4-(Trifluoromethyl)-phenoxy] phenol (3) a phenol derivative, and Reserpine (5) an indole alkaloid selectively inhibited the growth of BT-474, and MDA-MB-231 breast cancer cells, respectively.Conclusion:These results exhibited the potential of small molecules in the treatment of HER2 amplified and triple negative breast cancers in vitro.


2021 ◽  
Vol 11 (2) ◽  
pp. 61
Author(s):  
Jiande Wu ◽  
Chindo Hicks

Background: Breast cancer is a heterogeneous disease defined by molecular types and subtypes. Advances in genomic research have enabled use of precision medicine in clinical management of breast cancer. A critical unmet medical need is distinguishing triple negative breast cancer, the most aggressive and lethal form of breast cancer, from non-triple negative breast cancer. Here we propose use of a machine learning (ML) approach for classification of triple negative breast cancer and non-triple negative breast cancer patients using gene expression data. Methods: We performed analysis of RNA-Sequence data from 110 triple negative and 992 non-triple negative breast cancer tumor samples from The Cancer Genome Atlas to select the features (genes) used in the development and validation of the classification models. We evaluated four different classification models including Support Vector Machines, K-nearest neighbor, Naïve Bayes and Decision tree using features selected at different threshold levels to train the models for classifying the two types of breast cancer. For performance evaluation and validation, the proposed methods were applied to independent gene expression datasets. Results: Among the four ML algorithms evaluated, the Support Vector Machine algorithm was able to classify breast cancer more accurately into triple negative and non-triple negative breast cancer and had less misclassification errors than the other three algorithms evaluated. Conclusions: The prediction results show that ML algorithms are efficient and can be used for classification of breast cancer into triple negative and non-triple negative breast cancer types.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 6525-6525
Author(s):  
Catalina Malinowski ◽  
Xiudong Lei ◽  
Hui Zhao ◽  
Sharon H. Giordano ◽  
Mariana Chavez Mac Gregor

6525 Background: Inadequate access to healthcare services is associated with worse outcomes. Disparities in access to cancer care are more frequently seen among racial/ethnic minorities, uninsured patients, and those with low socioeconomic status. A provision in the Affordable Care Act called for expansion of Medicaid eligibility in order to cover more low-income Americans. In this study, we evaluate the impact of Medicaid expansion in 2-year mortality among metastatic BC patients according to race. Methods: Women (aged 40-64) diagnosed with metastatic BC (stage IV de novo) between 01/01/2010 and 12/31/2015 and residing in states that underwent Medicaid expansion in 01/2014 were identified in the National Cancer Database. For comparison purposes, 2010-2013 was considered the pre-expansion period and 2014-2015 the post-expansion period. We calculated 2-year mortality difference-in-difference (DID) estimates between White and non-White patients using multivariable linear regression models. Results are presented as adjusted differences (in % points) between groups in the pre- and post-expansion periods and as adjusted DID with 95%CI. Covariates included age, comorbidity, BC subtype, insurance type, transfer of care, distance to hospital, region, residence area, education, income quartile, facility type and facility volume. In addition, overall survival (OS) was evaluated in pre- and post-expansion periods via Kaplan-Meier method and Cox proportional hazards models; results are presented as 2-year OS estimates, hazard ratios (HRs), and 95% CIs. Results: Among 7,675 patients included, 4,942 were diagnosed in the pre- and 2,733 in the post-expansion period. We observed a reduction in 2-year mortality rates in both groups according to Medicaid expansion. Among Whites 2-year mortality decreased from 42.5% to 38.7% and among non-Whites from 45.4% to 36.4%, resulting in an adjusted DID of -5.2% (95%CI -9.8 to -0.6, p = 0.027). A greater reduction in 2-year mortality was observed among non-Whites in a sub-analysis of patients who resided in the poorest quartile (n = 1372), with an adjusted DID of -14.6% (95%CI -24.8 to -4.4, p = 0.005). In the multivariable Cox model, during the pre-expansion period there was an increased risk of death for non-Whites compared to Whites (HR 1.14, 95% CI 1.03 to 1.26, P = 0.04), however no differences were seen in the post-expansion period between the two groups (HR 0.93, 95% CI 0.80 to 1.07, P = 0.31). Conclusions: Medicaid expansion reduced racial disparities by decreasing the 2-year mortality of non-White patients with metastatic breast cancer and reducing the gap when compared to Whites. These results highlight the positive impact of policies aimed at improving equity and increasing access to health care.


2021 ◽  
Vol 111 (1) ◽  
pp. 127-135
Author(s):  
Meghan Zacher ◽  
Ethan J. Raker ◽  
Mariana C. Arcaya ◽  
Sarah R. Lowe ◽  
Jean Rhodes ◽  
...  

Objectives. To examine how physical health symptoms developed and resolved in response to Hurricane Katrina. Methods. We used data from a 2003 to 2018 study of young, low-income mothers who were living in New Orleans, Louisiana, when Hurricane Katrina struck in 2005 (n = 276). We fit logistic regressions to model the odds of first reporting or “developing” headaches or migraines, back problems, and digestive problems, and of experiencing remission or “recovery” from previously reported symptoms, across surveys. Results. The prevalence of each symptom increased after Hurricane Katrina, but the odds of developing symptoms shortly before versus after the storm were comparable. The number of traumatic experiences endured during Hurricane Katrina increased the odds of developing back and digestive problems just after the hurricane. Headaches or migraines and back problems that developed shortly after Hurricane Katrina were more likely to resolve than those that developed just before the storm. Conclusions. While traumatic experiences endured in disasters such as Hurricane Katrina appear to prompt the development of new physical symptoms, disaster-induced symptoms may be less likely to persist or become chronic than those emerging for other reasons.


Author(s):  
Osman Erdogan ◽  
Alper Parlakgumus ◽  
Ugur Topal ◽  
Kemal Yener ◽  
Umit Turan ◽  
...  

Aims: Mucinous, medullary, and papillary carcinomas are rarely encountered types of breast cancer. This study aims to contribute to the literature by comparing the clinical and prognostic features and treatment alternatives of rare breast carcinomas. Study Design: Thirty-four patients with rare breast cancer out of a total of 1368 patients who underwent surgery for breast cancer in our clinic between January 2011 and December 2020 were included in the study. Methodology: The patients were assigned into three groups, i.e., medullary carcinoma group (Group 1), mucinous carcinoma group (Group 2) and papillary carcinoma group (Group 3). Demographic and clinical features, treatment modalities used, surgical approaches, pathological features of tumors and survival were compared between the groups. Results: Thirty-four patients were included in the study. The mean age of the patients in Group 3 was higher, though it was not statistically significant. Modified radical mastectomy was more frequently performed in all the groups. The number of the lymph nodes removed through axillary dissections and the number of the positive lymph nodes were similar in all the groups. The tumors in all the groups were also of comparable sizes (30 mm in Group 1, 42.5 mm in Group 2 and 30 mm in Group 3; p:0.464). Estrogen receptors were negative in a significantly higher rate of Group 1(66.7% of Group 1, p<0,001). A significantly higher rate of Group 1 received postoperative chemotherapy (93,3% of Group 1,p:0.001), but the rate of the patients receiving hormonotherapy in this group was significantly lower (26.7% of Group, p<0,001). The patients with medullary cancer had significantly longer survival than those with mucinous cancer and those with papillary cancer (76.2 in Group 1, 54.5 in Group 2 and 58.4 in Group 3; p:0.005). Conclusion: While rare subtypes of breast carcinoma did not affect opting for surgical treatment, selection of oncological therapy was affected depending on the hormone receptor status of these tumors. The long-term survival differed between rare breast tumors. In view of the unique clinical pictures of the tumors, the patients should be evaluated individually, and the evaluation should be associated with theevidence-based principles available for more common breast carcinomas.


2019 ◽  
Vol 8 (6) ◽  
pp. 661-671 ◽  
Author(s):  
Shuang Ye ◽  
Yuanyuan Xu ◽  
Jiehao Li ◽  
Shuhui Zheng ◽  
Peng Sun ◽  
...  

The role of G protein-coupled estrogen receptor 1 (GPER) signaling, including promotion of Ezrin phosphorylation (which could be activated by estrogen), has not yet been clearly identified in triple-negative breast cancer (TNBC). This study aimed to evaluate the prognostic value of GPER and Ezrin in TNBC patients. Clinicopathologic features including age, menopausal status, tumor size, nuclear grade, lymph node metastasis, AJCC TNM stage, and ER, PR and HER-2 expression were evaluated from 249 TNBC cases. Immunohistochemical staining of GPER and Ezrin was performed on TNBC pathological sections. Kaplan–Meier analyses, as well as logistic regressive and Cox regression model tests were applied to evaluate the prognostic significance between different subgroups. Compared to the GPER-low group, the GPER-high group exhibited higher TNM staging (P = 0.021), more death (P < 0.001), relapse (P < 0.001) and distant events (P < 0.001). Kaplan–Meier analysis showed that GPER-high patients had a decreased OS (P < 0.001), PFS (P < 0.001), LRFS (P < 0.001) and DDFS (P < 0.001) than GPER-low patients. However, these differences in prognosis were not statistically significant in post-menopausal patients (OS, P = 0.8617; PFS, P = 0.1905; LRFS, P = 0.4378; DDFS, P = 0.2538). There was a significant positive correlation between GPER and Ezrin expression level (R = 0.508, P < 0.001) and the effect of Ezrin on survival prognosis corresponded with GPER. Moreover, a multivariable analysis confirmed that GPER and Ezrin level were both significantly associated with poor DDFS (HR: 0.346, 95% CI 0.182–0.658, P = 0.001; HR: 0.320, 95% CI 0.162–0.631, P = 0.001). Thus, overexpression of GPER and Ezrin may contribute to aggressive behavior and indicate unfavorable prognosis in TNBC; this may correspond to an individual’s estrogen levels.


2020 ◽  
Vol 16 (33) ◽  
pp. 2713-2722
Author(s):  
Bruce Feinberg ◽  
Skyler Hime ◽  
Jeff Wojtynek ◽  
Igoni Dokubo ◽  
Ajeet Gajra ◽  
...  

Aim: Guidelines list atezolizumab with nab-paclitaxel (ANP) as the preferred first-line (1L) therapy for metastatic triple-negative breast cancer (mTNBC) with PD-L1 expression ≥1%, but which clinical attributes impact ANP prescribing? Materials & methods: Medical oncologists participated in a discrete choice experiment (DCE) with four hypothetical mTNBC clinical scenarios to assess influences of: PD-L1 expression, menopausal status, prior adjuvant therapy and bulky liver metastases. Results: A total of 47% chose ANP in 1L irrespective of menopausal status, prior adjuvant therapy or tumor bulk. PD-L1 expression was the only attribute with a significant impact on ANP preference, with 69% choosing ANP for those with ≥1% expression versus only 26% for those with <1% (p < 0.00001). Conclusion: ANP choice for 1L mTNBC deviated from guidelines.


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