Semi-synthetic A-cycle modified triterpenic derivatives with A-cycle condensed with a heterocyclic fragment (compound 1) and fragmented A-ring (compound 2) were tested for cytotoxicity against several tumor cell cultures and doxorubicin (Dox)-resistant cell lines. The equal cytotoxicity of the tested compounds to the parental tumor cell lines (HBL-100, K562) and their resistant subclones (HBL-100/Dox, K562/i-S9) was revealed. The overexpression of ABCB1 (MDR1) gene and P-glycoprotein (P-gp) was confirmed for both resistant subclones of tumor cells. Compounds 1 and 2 were shown to inhibit the ABC-transporter gene expression (MDR1, MRP, MVP, and BCRP) and the transport of well-known P-gp substrate Rhodamine 123 from resistant cells. The docking of triterpenoids 1 and 2 into the drug binding site of P-gp revealed a similarity between the conformation of the tested triterpenoids and that of classical inhibitor verapamil, thus assuming these compounds to be more likely the inhibitors than the substrates of P-gp. Any tested triterpenic derivatives, when combined at non-toxic concentrations with doxorubicin, improved cytotoxic effect of the therapeutic drug against resistant subclones of tumor cells.
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http://dx.doi.org/10.1016/j.cbi.2021.109645 | DOI Listing |
Cancer Lett
January 2025
Department of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China.
Pralsetinib demonstrated impressive improvement of survival in non-small cell lung cancer (NSCLC) patients harbored de novo RET fusion. However, the efficacy in patients with acquired RET fusion after resistance to EGFR/ALK-TKIs has only been reported on a case-by-case basis, and the strategy for overcoming the acquired RET fusion has not been fully investigated. This multicenter, real-world analysis enrolled 32 patients with unresectable NSCLC harbored acquired RET fusion after resistance to EGFR/ALK-TKIs in 23 centers across China from July 1, 2018 to Nov 23, 2022.
View Article and Find Full Text PDFCell Rep
January 2025
NDM Research Building, University of Oxford, Old Road Campus, Headington, Oxford OX3 7FZ, UK. Electronic address:
Clear cell kidney cancers are characterized both by conserved oncogenic driver events and by marked intratumor genetic and phenotypic heterogeneity, which help drive tumor progression, metastasis, and resistance to therapy. How these are reflected in transcriptional programs within the cancer and stromal cell components remains an important question with the potential to drive novel therapeutic approaches to treating cancer. To better understand these programs, we perform single-cell transcriptomics on 75 multi-regional biopsies from kidney tumors and normal kidney.
View Article and Find Full Text PDFNat Rev Immunol
January 2025
Koch Institute for Integrative Cancer Research, Massachusetts Institute for Technology, Cambridge, MA, USA.
Cancers can avoid immune-mediated elimination by acquiring traits that disrupt antitumour immunity. These mechanisms of immune evasion are selected and reinforced during tumour evolution under immune pressure. Some immunogenic subclones are effectively eliminated by antitumour T cell responses (a process known as immunoediting), which results in a clonally selected tumour.
View Article and Find Full Text PDFBrief Bioinform
November 2024
The Department of Medical Oncology, Jilin Cancer Hospital, No. 1066, Jinhu Road, Changchun, 130012, China.
Somatic variants play a crucial role in the occurrence and progression of cancer. However, in the absence of matched normal controls, distinguishing between germline and somatic variants becomes challenging in tumor samples. The existing tumor-only genomic analysis methods either suffer from limited performance or insufficient interpretability due to an excess of features.
View Article and Find Full Text PDFCell Syst
December 2024
National Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD 20892, USA. Electronic address:
Cancer progression is an evolutionary process driven by the selection of cells adapted to gain growth advantage. We present a formal study on the adaptation of gene expression in subclonal evolution. We model evolutionary changes in gene expression as stochastic Ornstein-Uhlenbeck processes, jointly leveraging the evolutionary history of subclones and single-cell expression data.
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