Resistance to chemotherapy commonly compromises the treatment of many advanced cancers. Evidence suggests a correlation between chemoresistance and more aggressive tumor growth, possibly through accumulation of additional genetic defects in drug-treated or resistant cells. To study this process in a human ovarian cancer model, we examined OVCAR-3 cells for acute sensitivity to cisplatin (cDDP) and subsequent emergence of drug-resistant clones following chronic cDDP exposure. Clonal cells (OVCAR-3/C-1) that displayed 20-fold reduced sensitivity to cisplatin but retained equivalent sensitivity to paclitaxel, as compared with the parental population, were isolated. The cDDP-resistant clone had growth kinetics similar to those of parental population, but when transplanted into the peritoneal cavity of nude mice, they acquired the ability to grow with the development of both ascites and solid tumor masses; such growth was not detectable after transplantation of the drug-sensitive parental cell line. C-1 cells had a p53 gene mutation (codon 266) that was not detected in the parental OVCAR-3 cell line, and infection of C-1 cells with p53-adenovirus (rAd-p53) caused greater apoptosis and gene transduction than that observed in the similarly infected parental population. rAd-p53 induced high levels of p21WAF1, p27Kip1, activated caspase 3 and apoptosis in C-1 cells, without causing major changes in bax or bcl-XL levels. Together, the results suggest that alterations in tumor growth and gene mutations characterize cDDP-resistance in OVCAR-3 cells, and viral replacement of one of these defective genes (p53) may provide an effective treatment for elimination of drug-resistant cells.
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http://dx.doi.org/10.1046/j.1525-1438.2000.00018.x | DOI Listing |
Pediatr Infect Dis J
January 2025
From the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Background: The World Health Organization classified coronavirus disease (COVID-19) as a pandemic by March 11, 2020. Children had a milder disease than adults, and many were asymptomatic. The pandemic could be seen as a natural experiment with several changes, including time spent at home.
View Article and Find Full Text PDFBackground: Despite the significant public health burden of maternal mental health disorders in sub-Saharan Africa (SSA), limited data are available on their effects on early childhood development (ECD), nutritional status, and child health in the region.
Aims: This study investigated the association between maternal mental health and ECD, nutritional status, and common childhood illnesses, while controlling for biological, social, financial, and health-related factors and/or confounders.
Method: As part of the Innovative Partnership for Universal and Sustainable Healthcare (i-PUSH) program evaluation study, initiated in November 2019, a cohort of low-income rural families, including pregnant women or women of childbearing age with children under five, was recruited for this study.
Evol Comput
January 2025
Chair of Algorithms for Intelligent Systems, University of Passau, Passau, Germany
Evolutionary algorithms make countless random decisions during selection, mutation and crossover operations. These random decisions require a steady stream of random numbers. We analyze the expected number of random bits used throughout a run of an evolutionary algorithm and refer to this as the cost of randomness.
View Article and Find Full Text PDFAndrology
January 2025
Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Objectives: Acetylated tubulin is a hallmark of flagellar stability in spermatozoa, and studies have demonstrated the ability of CDYL to function as a tubulin acetyltransferase in spermatozoa. Of note, germline conditional knockout of Cdyl can lead to asthenoteratozoospermia and infertility in male mice. However, the role of CDYL gene in human fertility remains uncharacterized.
View Article and Find Full Text PDFLearn Health Syst
January 2025
Bioethics Research Center, Division of General Medical Sciences, Department of Medicine Washington University School of Medicine St. Louis Missouri USA.
Objectives: Patient engagement is critical for the effective development and use of artificial intelligence (AI)-enabled tools in learning health systems (LHSs). We adapted a previously validated measure from pediatrics to assess adults' openness and concerns about the use of AI in their healthcare.
Study Design: Cross-sectional survey.
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