Appropriate biomarkers are required to predict the clinical outcome of triple-negative breast cancer (TNBC). In this study, we focused on the clinical importance of two representative tumor-associated proteins, Bcl-2 and p53. Bcl-2 expression is usually related to estrogen receptor expression and a favorable outcome in breast cancer. TNBC has been reported to show a high frequency of p53 positivity suggesting TP53 mutations. The expressions of Bcl-2 and p53 were immunohistochemically examined in TNBC involving two age groups of postmenopausal women (≥75 y/o, n = 75; 55-64 y/o, n = 47), who underwent surgery without neoadjuvant therapy. We examined their associations with each other, or with clinicopathological factors including the outcome. Bcl-2 expression was inversely correlated with androgen receptor, apocrine morphology, and p53 expressions, and was an independent predictor of a poor outcome in total or in younger women. p53 positivity was associated with a more favorable outcome than p53 negativity in the younger group. In combined analyzes, none of the twenty Bcl-2-negative/p53-positive cases in the younger group exhibited recurrence, resulting in the independent favorable predictive value of Bcl-2-negative/p53-positive. The anti-apoptotic nature of Bcl-2 may be apparent in TNBC. The excellent outcome of Bcl-2-negative/p53-positive cases in the younger group warrants further combined investigation of Bcl-2/p53 in TNBC.
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http://dx.doi.org/10.1111/pin.13429 | DOI Listing |
Curr Med Chem
January 2025
Healthy Ageing Research Centre, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Neuroblastoma (NB) is a rare embryonal neuroendocrine tumor that primarily affects children aged 5 years old or younger. In advanced stages, NB requires a multifaceted treatment approach, including a combination of surgery, chemo, and radiation therapy. However, high-risk NB is still associated with poor prognosis, long-term side effects, and a high chance of relapse.
View Article and Find Full Text PDFIran J Pharm Res
November 2024
Cellular and Molecular Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Background: Combining natural compounds with chemotherapeutic agents has emerged as a promising approach for cancer treatment. Curcumin (Cur), a natural polyphenol, is known for its anti-cancer properties, including the ability to induce apoptosis and arrest cell cycle progression.
Objectives: This study aimed to evaluate the effects of Cur and etoposide (ETO), both individually and in combination, on the induction of apoptosis in breast cancer (BC) cell lines.
BMC Res Notes
January 2025
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313 Ferst Drive, Atlanta, GA, 30332, USA.
Objective: Primary tumors of the brain and a large percent of malignant brain tumors are gliomas. Gliomas comprise high-grade gliomas like glioblastoma multiforme (GBMs), many of which have mutation in the tumor suppressor p53 gene and low-grade gliomas (LGGs). LGGs can progress to GBMs due to various factors.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Department of Cardiovascular Medicine, First Hospital of Northwest University, Xi'an, 710043, China.
Background: Reduced cardiac autophagy, inflammation, and apoptosis contribute to cardiovascular complications caused by metabolic syndrome (MetS). It is documented that the nuclear receptor 4A2 (NR4A2) could modulate autophagy and apoptosis in cardiac complications. The aim of this investigation was to assess the therapeutic potential of luteolin, with documented beneficial properties, against MetS-associated cardiac injury.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Geriatric Department, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Insomnia is increasingly common and poses significant health risks. The aims of this study are to identify apoptosis-related genes and potential biomarkers for insomnia and to find new therapeutic targets. Insomnia gene expression profiles were downloaded from the Gene Expression Omnibus database, and differentially expressed genes in normal and insomnia samples were identified by limma rapid differential analysis, and then the major modular genes with clinical relevance to insomnia were analyzed using the Weighted Gene Co-Expression Network Analysis, and intersections were obtained with the differentially expressed genes as well as with apoptotic gene databases.
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