AI Article Synopsis

  • Targeted therapy using tyrosine kinase inhibitors (TKI) can improve survival rates for many patients with non-small cell lung cancer (NSCLC), but resistance to these treatments often develops.
  • A study analyzed the genetic and epigenetic changes in 122 Vietnamese NSCLC patients experiencing resistance to TKI therapy, finding that 41.8% had specific resistance mutations, particularly in the EGFR gene.
  • The research highlighted that the level of genome-wide hypomethylation was linked to how long patients responded to TKI, suggesting that liquid biopsies can help understand TKI resistance mechanisms and inform future treatment strategies.

Article Abstract

Targeted therapy with tyrosine kinase inhibitors (TKI) provides survival benefits to a majority of patients with non-small cell lung cancer (NSCLC). However, resistance to TKI almost always develops after treatment. Although genetic and epigenetic alterations have each been shown to drive resistance to TKI in cell line models, clinical evidence for their contribution in the acquisition of resistance remains limited. Here, we employed liquid biopsy for simultaneous analysis of genetic and epigenetic changes in 122 Vietnamese NSCLC patients undergoing TKI therapy and displaying acquired resistance. We detected multiple profiles of resistance mutations in 51 patients (41.8%). Of those, genetic alterations in EGFR, particularly EGFR amplification (n = 6), showed pronounced genome instability and genome-wide hypomethylation. Interestingly, the level of hypomethylation was associated with the duration of response to TKI treatment. We also detected hypermethylation in regulatory regions of Homeobox genes which are known to be involved in tumor differentiation. In contrast, such changes were not observed in cases with MET (n = 4) and HER2 (n = 4) amplification. Thus, our study showed that liquid biopsy could provide important insights into the heterogeneity of TKI resistance mechanisms in NSCLC patients, providing essential information for prediction of resistance and selection of subsequent treatment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361064PMC
http://dx.doi.org/10.1038/s41598-021-95985-6DOI Listing

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