Background: Evidence-based definitions of 'poor-prognosis' or 'aggressive' advanced breast cancer are lacking.
Patients And Methods: We developed a prognostic factor index using data from 2203 patients treated with first-line chemotherapy plus bevacizumab for HER2-negative advanced breast cancer.
Results: The risk factors most closely associated with worse OS were: disease-free interval ≤24 months; liver metastases or ≥3 involved organ sites; prior anthracycline and/or taxane therapy; triple-negative breast cancer (TNBC); and performance status 2 or prior analgesic/corticosteroid treatment. Risk of death was increased threefold in patients with ≥3 versus ≤1 risk factors (hazard ratio 3.0 [95% CI 2.6-3.4; p < 0.001]; median 16.0 vs 38.8 months, respectively).
Conclusions: This prognostic index may enable identification of patients with a poorer prognosis in whom more intensive systemic regimens may be appropriate. The index may also be considered in designing new trials, although it requires validation in other datasets before extrapolation to non-bevacizumab-containing therapy. ClinicalTrials.gov identifier: NCT00448591.
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http://dx.doi.org/10.1016/j.breast.2014.06.017 | DOI Listing |
Mol Cancer Ther
January 2025
Eisai (Japan), Ibaraki, Japan.
Despite remarkable advances in cancer treatment, most solid cancers remain difficult to cure. We recently developed an antibody-drug conjugate (ADC, 84-EBET) for pancreatic cancer by using the carcinoembryonic-antigen-related cell-adhesion molecule 6 (CEACAM6) antibody #84.7 and the bromodomain and extra-terminal (BET) protein degrader EBET.
View Article and Find Full Text PDFVet Med Sci
January 2025
Department of Industrial Management, Faculty of Humanities, University of Tehran, Kish International Campus, Tehran, Iran.
Background: The poultry industry faces challenges with the high cost and environmental impact of Soybean meal. Feather meal, a byproduct with low digestibility due to its keratin content, is a potential alternative. Recent biotechnological advances, including enzymatic and bacterial hydrolysis, have enhanced its digestibility and nutritional value.
View Article and Find Full Text PDFEur J Radiol Open
June 2025
Radiology Department, National Cancer Institute, Cairo University, Egypt.
Purpose: To investigate the impact of artificial intelligence (AI) reading digital mammograms in increasing the chance of detecting missed breast cancer, by studying the AI- flagged early morphology indictors, overlooked by the radiologist, and correlating them with the missed cancer pathology types.
Methods And Materials: Mammograms done in 2020-2023, presenting breast carcinomas (n = 1998), were analyzed in concordance with the prior one year's result (2019-2022) assumed negative or benign. Present mammograms reviewed for the descriptors: asymmetry, distortion, mass, and microcalcifications.
Prz Menopauzalny
December 2024
Faculty of Science, Department of Biology, University of Kufa, Kufa, Iraq.
Introduction: Breast cancer is the predominant form of malignancy among women. Polymorphisms in DNA repair genes, such as X-ray repair cross complementing 3 (XRCC3), can influence an individual's capability to repair damaged DNA. This can result in genetic instability and potentially contribute to the development of cancer.
View Article and Find Full Text PDFJ Appl Stat
June 2024
Department of Biostatistics, University of Florida, Gainesville, FL, USA.
Due to the tremendous heterogeneity of disease manifestations, many complex diseases that were once thought to be single diseases are now considered to have disease subtypes. Disease subtyping analysis, that is the identification of subgroups of patients with similar characteristics, is the first step to accomplish precision medicine. With the advancement of high-throughput technologies, omics data offers unprecedented opportunity to reveal disease subtypes.
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