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1.
S D Med ; 74(6): 260-263, 2021 Jun.
Article in English | MEDLINE | ID: mdl-34449165

ABSTRACT

Angiosarcoma is a rare, highly malignant endothelial cell carcinoma. Radiotherapy on breast cancer increases the risk of developing an angiosarcoma. We report an extremely rare case of bilateral breast radiation-associated angiosarcoma (RAA). Patient had a strong breast cancer family history, and genetic testing identified KRAS, PIK3CA, RPTOR, and VHL mutation, along with MYC amplification. The overall prognosis of RAA is poor as RAA is characterized by early metastasis, frequent local recurrence, and short overall survival time. The patient eventually passed away because of breast cancer metastasis to the lung and liver.


Subject(s)
Adenocarcinoma , Breast Neoplasms , Hemangiosarcoma , Breast Neoplasms/radiotherapy , Female , Hemangiosarcoma/etiology , Humans , Prognosis
2.
Clin Cancer Res ; 25(1): 142-149, 2019 01 01.
Article in English | MEDLINE | ID: mdl-30185421

ABSTRACT

PURPOSE: With improvements in breast cancer imaging, there has been a corresponding increase in false-positives and avoidable biopsies. There is a need to better differentiate when a breast biopsy is warranted and determine appropriate follow-up. This study describes the design and clinical performance of a combinatorial proteomic biomarker assay (CPBA), Videssa Breast, in women over age 50 years. EXPERIMENTAL DESIGN: A BI-RADS 3, 4, or 5 assessment was required for clinical trial enrollment. Serum was collected prior to breast biopsy and subjects were followed for 6-12 months and clinically relevant outcomes were recorded. Samples were split into training (70%) and validation (30%) cohorts with an approximate 1:4 case:control ratio in both arms. RESULTS: A CPBA that combines biomarker data with patient clinical data was developed using a training cohort (469 women, cancer incidence: 18.5%), resulting in 94% sensitivity and 97% negative predictive value (NPV). Independent validation of the final algorithm in 194 subjects (breast cancer incidence: 19.6%) demonstrated a sensitivity of 95% and a NPV of 97%. When combined with previously published data for women under age 50, Videssa Breast achieves a comprehensive 93% sensitivity and 98% NPV in a population of women ages 25-75. Had Videssa Breast results been incorporated into the clinical workflow, approximately 45% of biopsies might have been avoided. CONCLUSIONS: Videssa Breast combines serum biomarkers with clinical patient characteristics to provide clinicians with additional information for patients with indeterminate breast imaging results, potentially reducing false-positive breast biopsies.


Subject(s)
Biomarkers, Tumor/blood , Breast Neoplasms/blood , Breast/metabolism , Proteomics , Adult , Aged , Biopsy , Breast/diagnostic imaging , Breast/pathology , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/genetics , Breast Neoplasms/pathology , Female , Humans , Mammography , Middle Aged
3.
Clin Breast Cancer ; 17(7): 516-525.e6, 2017 11.
Article in English | MEDLINE | ID: mdl-28624156

ABSTRACT

BACKGROUND: Despite significant advances in breast imaging, the ability to detect breast cancer (BC) remains a challenge. To address the unmet needs of the current BC detection paradigm, 2 prospective clinical trials were conducted to develop a blood-based combinatorial proteomic biomarker assay (Videssa Breast) to accurately detect BC and reduce false positives (FPs) from suspicious imaging findings. PATIENTS AND METHODS: Provista-001 and Provista-002 (cohort one) enrolled Breast Imaging Reporting and Data System 3 or 4 women aged under 50 years. Serum was evaluated for 11 serum protein biomarkers and 33 tumor-associated autoantibodies. Individual biomarker expression, demographics, and clinical characteristics data from Provista-001 were combined to develop a logistic regression model to detect BC. The performance was tested using Provista-002 cohort one (validation set). RESULTS: The training model had a sensitivity and specificity of 92.3% and 85.3% (BC prevalence, 7.7%), respectively. In the validation set (BC prevalence, 2.9%), the sensitivity and specificity were 66.7% and 81.5%, respectively. The negative predictive value was high in both sets (99.3% and 98.8%, respectively). Videssa Breast performance in the combined training and validation set was 99.1% negative predictive value, 87.5% sensitivity, 83.8% specificity, and 25.2% positive predictive value (BC prevalence, 5.87%). Overall, imaging resulted in 341 participants receiving follow-up procedures to detect 30 cancers (90.6% FP rate). Videssa Breast would have recommended 111 participants for follow-up, a 67% reduction in FPs (P < .00001). CONCLUSIONS: Videssa Breast can effectively detect BC when used in conjunction with imaging and can substantially reduce unnecessary medical procedures, as well as provide assurance to women that they likely do not have BC.


Subject(s)
Biomarkers, Tumor/blood , Breast Neoplasms/diagnosis , Carcinoma in Situ/diagnosis , Carcinoma, Lobular/diagnosis , Proteome/analysis , Proteomics/methods , Adult , Breast Neoplasms/blood , Breast Neoplasms/diagnostic imaging , Carcinoma in Situ/blood , Carcinoma in Situ/diagnostic imaging , Carcinoma, Lobular/blood , Carcinoma, Lobular/diagnostic imaging , Female , Follow-Up Studies , Humans , Mammography/methods , Middle Aged , Multimodal Imaging/methods , Prognosis , Prospective Studies
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