We have previously shown that in vivo ras-transformed cell lines display natural doxorubicin resistance compared with the normal cells and that such resistance is accompanied by a plasma membrane depolarization. In this article we first extend the analysis of doxorubicin effect to other ras-transformed cell lines, which are characterized by an increasing degree of malignant phenotype. Rat thyroid ras-transformed cells are markedly resistant to doxorubicin and the degree of drug resistance correlates with the degree of cell malignancy. The lower amount of drug accumulated inside the malignant and resistant cells is a consequence of their constitutive depolarized membrane potential and may account for their lack of drug-induced apoptosis. Verapamil, a known modulator of drug resistance, is able to decrease the resistance of all the malignant cell lines, initially causing a higher incorporation of doxorubicin as a consequence of its ability to hyperpolarize the membrane potential. In resistant cells, verapamil is also able to alter the mitochondrial membrane potential allowing apoptosis. In conclusion, these studies demonstrate that ras transformation induces the natural resistance to doxorubicin of the malignant cells. We suggest that the most malignant and resistant cells, of metastatic origin, could be preferentially destroyed by manipulation of their membrane properties, and we confirm the possibility of overcoming drug resistance by the administration of verapamil also in P-gp170-nonexpressing cells.
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http://dx.doi.org/10.3727/096504002108747935 | DOI Listing |
Quant Plant Biol
December 2024
Department of Biology, Howard University, Washington, DC, USA.
Plant growth and development are tightly regulated by cell division, elongation, and differentiation. A visible plant phenotype at the tissue or organ level is coordinated at the cellular level. Among these cellular regulations (cell division, elongation and differentiation), cell division in plants follows the same universal mechanisms across kingdoms of life, and involves conserved cell cycle regulatory proteins (cyclins, cyclin-dependent kinase and cell cycle inhibitors).
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Department of Urology Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi 330006, P.R. China.
Disulfidptosis, which was recently identified, has shown promise as a potential cancer treatment. Nonetheless, the precise role of long non-coding RNAs (lncRNAs) in this phenomenon is currently unclear. To elucidate their significance in bladder cancer (BLCA), a signature of disulfidptosis-related lncRNAs (DRlncRNAs) was developed and their potential prognostic significance was explored.
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February 2025
Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA.
Although peptide vaccines offer a novel venue for cancer immunotherapy, clinical success has been rather limited. Cell-penetrating peptides, due to their ability to translocate through the cell membrane, could be conjugated to the peptide vaccine to2 enhance therapeutic efficiency. The S4 transduction domain of the shaker-potassium channel was conjugated to mammaglobin-A (MamA) immunodominant epitope (MamA2.
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Department of Thoracic Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430079, P.R. China.
The aim of the present study was to investigate the efficacy and safety of anlotinib combined with vinorelbine (NVB) as a second-line treatment for elderly patients with advanced squamous cell lung carcinoma (SqCLC). The present retrospective analysis included 48 elderly patients (aged ≥65 years) diagnosed with advanced SqCLC who received anlotinib in combination with NVB as a second-line therapy between January 2021 and December 2023. The primary endpoints assessed were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR) and safety profile.
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December 2024
Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO, USA.
Guidelines in statistical modeling for genomics hold that simpler models have advantages over more complex ones. Potential advantages include cost, interpretability, and improved generalization across datasets or biological contexts. We directly tested the assumption that small gene signatures generalize better by examining the generalization of mutation status prediction models across datasets (from cell lines to human tumors and vice versa) and biological contexts (holding out entire cancer types from pan-cancer data).
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