scholarly journals Breast Cancer Survivorship and Level of Institutional Involvement Utilizing Integrative Oncology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Terri Crudup ◽  
Linna Li ◽  
Jennifer Wright Dorr ◽  
Elizabeth Lawson ◽  
Rachel Stout ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Support Groups ◽  
Cohort Analysis ◽  
Multivariate Model ◽  
Lasso Regression ◽  
Breast Cancer Patients ◽  
Integrative Oncology ◽  
Chi Square ◽  
Education Access

Objective. Integrative oncology is widely used by patients with breast cancer. This study aims to investigate the relationship between the survival outcomes of breast cancer patients and the level of involvement in integrative oncology at the institutions treating them. Methods. Claims-based data were used to find 4,815 newly diagnosed breast cancer patients treated between January 2013 and December 2014 for survival analysis. A scoring system was developed by asking oncologists about their institutions’ efforts to educate, support, and provide funding for 12 complementary and lifestyle approaches. Cohort analysis using two-tailed chi-square and a separate multivariate model using SMOTE and lasso regression were used. Nine variables across patient and institutional profiles were included. The model coefficients were exponentiated and presented as odds ratios. Results. 173 patients mapped to 103 institutions and 103 oncologists. The median patient age was 51, and 8% were metastatic. Institutions were scored for integrative oncology involvement and placed into four cohorts. Low-scoring institutions showed less effort to educate, support, and provide integrative therapies compared to others. The 5-year survival of patients in the low cohort was directionally but not significantly lower than others. In the multivariate model, a composite integrative oncology score was shown to increase 5-year survival odds three times for institutions in the low-mid cohort and 48% in the mid-high, compared to the low. Conclusion. Crossing the threshold beyond ‘low’ involvement in integrative oncology represents a new path to incremental survival benefit for many cancer patients. Entities invested in the survival of breast cancer patients should increase education, access, and funding for a core set of six therapies: nutrition counselling, exercise counselling, patient support groups, spiritual services, meditation, and psycho-oncology support.

COVID-related anxiety is prevalent and accurately reflects serious COVID risks in breast cancer patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 12053-12053
Author(s):  
Marisa C. Weiss ◽  
Stephanie Kjelstrom ◽  
Meghan Buckley ◽  
Adam Leitenberger ◽  
Melissa Jenkins ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
P Value ◽  
Breast Cancer Patients ◽  
Chi Square ◽  
Liver And Kidney ◽  
Chi Square Test ◽  
A Current

12053 Background: A current cancer diagnosis is a risk factor for serious COVID-19 complications (CDC). In addition, the pandemic has caused major disruptions in medical care and support networks, resulting in treatment delays, limited access to doctors, worsening health disparities, social isolation; and driving higher utilization of telemedicine and online resources. Breastcancer.org has experienced a sustained surge of new and repeat users seeking urgent information and support. To better understand these unmet needs, we conducted a survey of the Breastcancer.org Community. Methods: Members of the Breastcancer.org Community were invited to complete a survey on the effects of the COVID-19 pandemic on their breast cancer care, including questions on demographics, comorbidities (including lung, heart, liver and kidney disease, asthma, diabetes, obesity, and other chronic health conditions); care delays, anxiety due to COVID-related care delays, use of telemedicine, and satisfaction with care during COVID. The survey was conducted between 4/27/2020-6/1/2020 using Survey Monkey. Results were tabulated and compared by chi square test. A p-value of 0.05 is considered significant. Data were analyzed using Stata 16.0 (Stata Corp., Inc, College Station, TX). Results: Our analysis included 568 breast cancer patients of whom 44% had ≥1 other comorbidities associated with serious COVID-19 complications (per CDC) and 37% had moderate to extreme anxiety about contracting COVID. This anxiety increased with the number of comorbidities (p=0.021), age (p=0.040), and with a current breast cancer diagnosis (p=0.011) (see table). Anxiety was significantly higher in those currently diagnosed, ≥65, or with ≥3 other comorbidities, compared to those diagnosed in the past, age <44, or without other comorbidities. Conclusions: Our survey reveals that COVID-related anxiety is prevalent at any age regardless of overall health status, but it increased with the number of other comorbidities, older age, and a current breast cancer diagnosis. Thus, reported anxiety is proportional to the risk of developing serious complications from COVID. Current breast cancer patients of all ages—especially with other comorbidities—require emotional support, safe access to their providers, and prioritization for vaccination.[Table: see text]

Relationship between tumor size and metastatic site in patients with stage IV breast cancer: A large SEER-based study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13065-e13065
Author(s):  
Qian Dong ◽  
Mi Zhang ◽  
Da Jiang
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Tumor Size ◽  
Stage Iv ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Chi Square ◽  
Metastatic Site ◽  
Luminal B ◽  
Stage Iv Breast Cancer

e13065 Background: To analyze the correlation between tumor size and metastatic site in first-diagnosed stage IV breast cancer patients. Methods: Stage IV breast cancer patients diagnosed from 2010 to 2015 were screened by the Surveillance, Epidemiology, and End Results (SEER) database. The characteristics of clinical variables were represented by a frequency table, and the Chi-square test was used for comparison. At the same time, the Chi-square test was used to analyze the relationship between tumor size and organ metastasis. Correlation between tumor size and the prognosis of patients was contributed by KM curve and Log-rank test. Results: Regardless of tumor size, the proportion of bone metastasis was higher and brain metastasis was lower in breast cancer patients. There were significant differences in the site of metastases based on different subtype. Luminal A and Luminal B breast cancer had the highest proportion of bone metastases; brain metastasis accounted for the highest proportion in triple-negative breast cancer (TNBC); while the incidence of liver metastasis was the highest in Her-2(+) breast cancer. At the same time, the results indicated that Luminal A breast cancer with a tumor size > 5 cm was more likely to develop multi-site metastasis and lung metastasis, while Luminal B breast cancer with a tumor size ≤ 5 cm was more likely to develop liver metastasis. The results also revealed that TNBC patients with a tumor size of 0 - 2cm were more likely to develop bone metastasis than those with a tumor size > 5 cm, and the incidence of lung metastasis in triple-negative patients showed an increasing trend with the increase of tumor size. Conclusions: Based on subtype, we found that there was a significant difference between tumor size and metastatic site in patients with stage IV breast cancer, and the difference was statistically significant. This study provided evidence-based basis for decision-making of stage IV breast cancer treatment.

Renal insufficiency in bone metastasis cancer patients: Prevalence and implications on anticancer drugs management, subgroup analysis of the IRMA study

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 9121-9121 ◽  
Author(s):  
N. Janus ◽  
C. Le Tourneau ◽  
V. Launay-Vacher ◽  
J. Gligorov ◽  
O. Rixe ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Bone Metastasis ◽  
Renal Insufficiency ◽  
Cancer Patients ◽  
Anticancer Drugs ◽  
Subgroup Analysis ◽  
Dosage Adjustment ◽  
Breast Cancer Patients ◽  
Chi Square ◽  
Chi Square Test

9121 Background: The IRMA study reported the high prevalence of renal insufficiency (RI) in 4684 solid tumour patients, with a glomerular filtration rate (GFR) <90 ml/min for 50–60%. Furthermore, 80.1% were receiving nephrotoxic anticancer drugs and 79.9% drugs necessitating dosage adjustment. We present the results for IRMA patients with bone metastasis (BM). Methods: Subgroup analysis of IRMA patients with BM. Data collected: sex, age, weight, serum creatinine (SCR), bone metastasis (BM) and anticancer drugs. The prevalence of SCR>110 μmol/L was assessed. GFR was estimated with Cockcroft-Gault (CG) and abbreviated MDRD (aMDRD) formulae. Drugs necessitating dosage adjustment and those potentially nephrotoxic were identified. Chi-square test was used to compare the prevalence of RI between patients with BM and patients without, for all patients and for breast cancer (BC) ones. Results: 1,000 patients (BC 577) with BM were included: median age 60, mean 59.8, weight 66 kg, 659 women. The prevalence of SCR>110 μmol/L was 8.3%. That of GFR<90 ml/min was 57.9% with CG and 54.7% with aMDRD. 83.4% of treated patients received at least one drug needing dosage adjustment (or no data) and 69% received at least one nephrotoxic drug. The prevalence of RI was not statistically different between patients with or without BM. However, the prevalence of RI was significantly higher in BC patients with BM as compared to BC patients without BM (62.1 versus 56.7 %, p=0.04). Conclusions: RI is highly frequent in cancer patients with BM. Appropriate evaluation of renal function necessitates CG or aMDRD calculation. In those patients, and especially in breast cancer patients with BM, anticancer drugs should be cautiously selected regarding their potential renal toxicity and need for dosage adjustment. [Table: see text] No significant financial relationships to disclose.

Cardiotoxicity risks of adjuvant trastuzumab in Asian breast cancer patients

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 561-561
Author(s):  
V. Shih ◽  
A. Chan ◽  
J. Chiang ◽  
C. Teo ◽  
J. Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Cancer Patients ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Breast Cancer Patients ◽  
Chi Square ◽  
Adjuvant Trastuzumab ◽  
Ventricular Ejection Fraction ◽  
Chi Square Test

561 Background: Adjuvant trastuzumab (T)-based chemotherapy has been shown to reduce relapse and improve survival in breast cancer patients but has been associated with increased risks of cardiotoxicity. Our study aims to define the incidence and severity of cardiotoxicity amongst Asian breast cancer patients. Methods: This is a retrospective review of patients who have received adjuvant T from June 2005 to 2007. Cardiotoxicity was defined as a drop in left ventricular ejection fraction (LVEF) to less than 50% and/or reduction of > 10% of baseline. Cardiovascular (CVS) risk factors were defined as having a family history or presence of CAD, hypertension, diabetes mellitus, hyperlipidemia and smoking. We used pair sampled t-test to evaluate the mean LVEF change and Chi-square test to evaluate the association of cardiotoxicity and demographics. Results: There were 179 female patients. Cardiotoxicity was reported in 70 (39.1%), of whom 59 had asymptomatic decline in LVEF and 11 experienced CHF. Mean LVEF, comparing various time points (3, 6, 9 and 12 months) against baseline showed statistically significant decline (p<0.05). T was withheld (n=33) due to asymptomatic decline in LVEF (n=24), symptomatic heart failure (n=4) and both (n=5). Twenty-one with resolution of CHF (n=7) or LVEF recovery (n=14) were rechallenged. Cardiotoxicity recurred in 9 - asymptomatic decline in LVEF (n=8) and recurrent CHF (n=1). There were no cardiac-related deaths. Neither patient demographics nor CVS risk factors predicted for cardiotoxicity. Conclusions: This is one of the largest series reported in Asians receiving T. As previously reported, T-induced cardiotoxicity resulted in mostly asymptomatic reversible decline in LVEF. Our incidence of cardiotoxicity appeared higher (39.1%) in Asians and more importantly, almost half of the patients experienced cardiotoxicity upon rechallenge. It would be prudent to explore whether there is any difference in susceptibility to T-induced cardiotoxicity between the different races. [Table: see text] No significant financial relationships to disclose.

A nomogram based on genetic and clinicopathologic features to predict the nonsentinel lymph node metastases in Chinese women breast cancer patients.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12577-e12577
Author(s):  
Liling Zhu ◽  
Ke Liu ◽  
Fengyun Li ◽  
Wentao Liang ◽  
Wenzhao Shi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Cancer Patients ◽  
Chinese Women ◽  
Lasso Regression ◽  
Breast Cancer Patients ◽  
Internal Validation ◽  
Genetic Features ◽  
Clinicopathologic Factors

e12577 Background: Sentinel lymph node biopsy (SLNB) is the standard treatment for breast cancer patients with clinically negative axilla. However, axillary lymph node dissection (ALND) is still the standard care for sentinel lymph node (SLN) positive patients. Clinical data reveals 20–60 % of patients without non-sentinel lymph node metastasis (NSLNM) after ALND. Unnecessary ALND increases the risk of lymphedema and detracts from quality of life. In this study, we expect to develop a nomogram based on genetic and clinicopathologic features to predict the risk of NSLN metastasis in SLN-positive Chinese women breast cancer patients. Methods: This retrospective study collected data from 310 women breast cancer patients who underwent SLNB followed by ALND and without any neo-adjuvant therapy in Chinese PLA General Hospital, China, between 2016 and 2017. Genetic features contain 96 single nucleotide polymorphisms (SNPs) associated with breast cancer susceptibility and prognosis based on the GWAS studies and clinical information. SNP genotyping was identified by the quantitative PCR detection platform. The genetic features were divided into two clusters by the gene functions and signaling pathways. The polygenic risk score (PRS) was used to evaluate the combined effect of each SNP cluster. Least absolute shrinkage and selection operator (LASSO) regression model was adopted for feature selection and nomogram construction. Internal validation was performed and the area under ROC curve (AUC) was assessed. Results: 81 patients of 310 patients (26%) had a positive axillary NSLNM. The LASSO regression analysis identified the clinicopathologic characteristics including molecular subtype, cN-stage, number of positive SLNs and number of negative SLNs as significant predictors of NSLNM. Furthermore, two SNP clusters were also showed statistically significant in the prediction of NSLNM. In internal validation, the average AUC of the nomogram was 0.795 and the model was well calibrated. Conclusions: We present a new nomogram by combining genetic and clinicopathologic factors to achieve higher sensitivity and specificity comparing with traditional clinicopathologic factors to predict NSLNM in Chinese women breast cancer. It is recommended that more validations are required in prospective studies among different patient populations.

scholarly journals Prognostic significance of uPA/PAI-1 level, HER2 status, and traditional histologic factors for survival in node-negative breast cancer patients

2016 ◽  
Vol 51 (1) ◽  
pp. 65-73 ◽  
Author(s):  
Nina Fokter Dovnik ◽  
Iztok Takac
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Multivariate Model ◽  
Her2 Status ◽  
Breast Cancer Patients ◽  
Node Negative ◽  
Node Negative Breast Cancer ◽  
Size Grade ◽  
Pai 1

Abstract Background The association of HER2 status with urokinase plasminogen activator (uPA) and plasminogen activator inhibitor 1 (PAI-1) levels raises the question whether uPA/PAI-1 level carries additional clinically relevant prognostic information independently from HER2 status. The aim of our study was to compare the prognostic value of uPA/PAI-1 level, HER2 status, and traditional prognostic factors for survival in node-negative breast cancer patients. Patients and methods A retrospective analysis of 858 node-negative breast cancer patients treated in Maribor University Clinical Center, Slovenia, in the years 2000–2009 was performed. Data were obtained from patient medical records. The median follow-up time was 100 months. Univariate and multivariate analyses of disease-free (DFS) and overall survival (OS) were performed using the Cox regression and the Cox proportional hazards model. Results In univariate analysis, age, tumor size, grade, lymphovascular invasion, HER2 status and UPA/PAI-1 level were associated with DFS, and age, tumor size, grade, and uPA/PAI-1 level were associated with OS. In the multivariate model, the most important determinants of DFS were age, estrogen receptor status and uPA/PAI-1 level, and the most important factors for OS were patient age and tumor grade. The HR for death from any cause in the multivariate model was 1.98 (95% CI 0.83–4.76) for patients with high uPA and/or PAI-1 compared to patients with both values low. Conclusions uPA/PAI-1 level clearly carries an independent prognostic value regardless of HER2 status in node-negative breast cancer and could be used in addition to HER2 and other markers to guide clinical decisions in this setting.

scholarly journals Integrative oncology for breast cancer-patients: Introduction of an expert-based model

2010 ◽  
Vol 2 (4) ◽  
pp. 164
Author(s):  
G. Dobos ◽  
P. Voiss ◽  
I. Schwidde ◽  
A. Paul ◽  
F.J. Saha ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Breast Cancer Patients ◽  
Integrative Oncology

scholarly journals Development of a prediction model based on LASSO regression to evaluate the risk of non-sentinel lymph node metastasis in Chinese breast cancer patients with 1–2 positive sentinel lymph nodes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Meng ◽  
Ting Zheng ◽  
Yuanyuan Wang ◽  
Zhao Li ◽  
Qi Xiao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Prediction Model ◽  
Cancer Patients ◽  
Sentinel Lymph Nodes ◽  
Lasso Regression ◽  
Breast Cancer Patients ◽  
Positive Slns

AbstractThis study aimed to develop an intraoperative prediction model to evaluate the risk of non-sentinel lymph node (NSLN) metastasis in Chinese breast cancer patients with 1–2 positive sentinel lymph nodes (SLNs). The clinicopathologic data of 714 patients with 1–2 positive SLNs were investigated. Univariate and multivariate analyses were performed to identify the risk factors of NSLN metastasis. A new mathematical prediction model was developed based on LASSO and validated in an independent cohort of 131 patients. The area under the receiver operating characteristic curve (AUC) was used to quantify performance of the model. Patients with NSLN metastasis accounted for 37.3% (266/714) and 34.3% (45/131) of the training and validation cohorts, respectively. A LASSO regression-based prediction model was developed and included the 13 most powerful factors (age group, clinical tumour stage, histologic type, number of positive SLNs, number of negative SLNs, number of SLNs dissected, SLN metastasis ratio, ER status, PR status, HER2 status, Ki67 staining percentage, molecular subtype and P53 status). The AUCs of training and validation cohorts were 0.764 (95% CI 0.729–0.798) and 0.777 (95% CI 0.692–0.862), respectively. We presented a new prediction model with excellent clinical applicability and diagnostic performance for use by clinicians as an intraoperative clinical tool to predict risk of NSLN metastasis in Chinese breast cancer patients with 1–2 positive SLNs and make the final decisions regarding axillary lymph node dissection.

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