PubMed · 7902906
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
H Freeman. Moclobemide.. https://doi.org/10.1016/s0140-6736(05)80090-x
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
BACKGROUND: Although fibroblast growth factor receptor (FGFR) inhibitors (FGFRi) have demonstrated clinical promise, the inevitable emergence of acquired resistance remains a critical bottleneck, severely compromising their long-term clinical efficacy. The pan-cancer molecular landscape and heterogeneous mechanisms driving this resistance, ranging from genetic alterations to dynamic network rewiring, remain poorly understood. METHODS: We integrated large-scale pharmacogenomic profiling of the FGFR inhibitor AZD4547 from the GDSC2 and PRISM databases with single-cell RNA sequencing to dissect the multi-omics landscape of FGFRi resistance across 312 cell lines from 8 cancer types. This multi-omics framework was further extended by machine learning modeling and systematic synthetic lethality screening to uncover actionable therapeutic targets. In vitro viability assays and western blot analysis were subsequently conducted to experimentally evaluate the predicted FGFR-EGFR synthetic lethality. RESULTS: Our dual-database analysis unveiled a multi-dimensional atlas of FGFRi resistance. We identified cancer-specific genomic drivers, such as ELF4 amplification in glioblastoma, alongside key transcriptomic markers including UCP2 and FSCN1, highlighting a shift towards metabolic reprogramming and epithelial-mesenchymal transition (EMT). Single-cell analysis unveiled that resistance is linked to the heterogeneous enrichment of baseline subpopulations characterized by distinct metaprograms, including cell-cycle dysregulation. Furthermore, a random forest model built on a LASSO-derived transcriptomic signature was constructed, demonstrating promising predictive capability for AZD4547 sensitivity (mean test-set AUC = 0.73, 95% CI [0.63, 0.80]); the signature generalized well to erdafitinib but showed limited transferability to some other FGFR inhibitors (e.g. pemigatinib, BGJ398). Most notably, our synthetic lethal screening revealed a convergent reliance on compensatory RTK signaling (specifically EGFR pathway enrichment) and downstream MAPK/PI3K cascades in resistant phenotypes, providing converging computational evidence for EGFR pathway activation as an adaptive bypass mechanism. This predicted synthetic lethality was experimentally supported in two FGFR-dependent cell line models (RT112 and CCLP1), in which combined FGFR-EGFR inhibition produced marked synergistic antiproliferative effects. CONCLUSIONS: This study establishes a comprehensive multi-omics atlas of resistance to the FGFR inhibitor AZD4547, delineating convergent mechanisms of metabolic reprogramming and EGFR-mediated bypass signaling. Our findings characterize the resistance as a dynamic network rewiring and nominate rational combination strategies to overcome this therapeutic bottleneck. While FGFR-EGFR co-inhibition is experimentally supported, metabolic co-targeting remains a computationally derived, hypothesis-generating strategy.
Cell cycle control of both immature and differentiated primary myeloid normal and chronic-phase chronic myeloid leukaemia (CML) cells to growth factor deprivation was studied. CD34+ cells were cultured in liquid culture. After removal of growth factors for 48 h normal cells were very efficiently arrested with the fraction of cells in S phase reduced by 70.8 +/- 6.5% in CD34+ and 50.5 +/- 4.2% in CD34- cells. In contrast, a significantly higher proportion of leukaemic cells remained in S phase. The fraction of S-phase cells was reduced by only 29.3 +/- 5.7% in CD34+ CML cells and 21.2 +/- 3.8% in CD34- cells. This abnormal negative cell cycle control in leukaemic cells was specific for growth factor deprivation. Reaction to IFN-alpha and TNF-alpha treatment was identical both in normal and CML cells. Equal quantities of the cytokines TNF-alpha, IL-1alpha, IL-1RA and IL-6 were produced by CML and normal cells. However, production of GM-CSF, with a median of 11 +/- 5 pg/ml, was found only in the supernatants of CML cells. But antibodies to GM-CSF did not restore growth factor dependence of the leukaemic cells. The defect was completely corrected by the abl-specific tyrosine kinase inhibitor CGP 57148 without effecting cell cycle control of normal cells. Our results demonstrate a directly Bcr-Abl-dependent defective response of both immature and differentiated primary myeloid CML cells to growth factor deprivation.
Stomatal movement is regulated by changes in the volume of guard cells, thought to be mainly controlled by an osmo-regulatory system. In the present study, we examined the additional involvement of cytoskeletal events in the regulation of stomatal movement. Microtubules (MTs) in guard cells of Vicia faba L., grown under sunlight, were observed during the day and night by immunofluorescence microscopy. Cortical MTs began to be organized in a radial array at dawn and increased in numbers in the morning following the increase in the stomatal aperture size. Thereafter, MTs became localized near the nucleus and began to be destroyed from the evening to midnight, following the decrease in stomatal aperture size. These diurnal changes in MT organization were observed even two days after transfer from natural light condition to total darkness, and were accompanied by corresponding changes in stomatal aperture. The increase in stomatal aperture size in the early morning was inhibited by 50 microM propyzamide, which destroys cortical MTs in guard cells, whereas the decrease in aperture size in the evening was suppressed by 10 microM taxol, which stabilizes cortical MTs. These results suggest that radially-organized cortical MTs of guard cells may control diurnal stomatal movement.