Purpose: Although ROS1-rearranged non-small cell lung cancer (NSCLC) is sensitive to crizotinib, development of resistance is inevitable. Here, we identified molecular alterations in crizotinibresistant tumors from two NSCLC patients with the CD74-ROS1 rearrangement, and in HCC78 cells harboring SLC34A2-ROS1 that showed resistance to crizotinib (HCC78CR cells).Experimental Design: ROS1 kinase domain mutations were examined in fresh tumor tissues from two NSCLC patients and HCC78CR1-3 cells by direct sequencing. Ba/F3 cells expressing ROS1 secondary mutations were constructed to evaluate resistance to crizotinib. An upregulated pathway was identified using phospho-receptor tyrosine kinase array, EGFR signaling antibody array, and RNA sequencing (RNA-seq). Cell proliferation and ROS1 downstream signaling pathways were compared between HCC78 and HCC78CR1-3 cells.Results: The ROS1 G2032R mutation was identified in crizotinib-resistant tumors from one patient. Furthermore, HCC78CR1and CR2 cells harbored a novel ROS1 L2155S mutation (73.3% and 76.2%, respectively). ROS1 G2032R and L2155S mutations conferred resistance to crizotinib in Ba/F3 cells. Evidence of epithelial-to-mesenchymal transition with downregulated E-cadherin and upregulated vimentin was observed in HCC78CR1-2 cells and in the other patient. RNA-seq and EGFR signaling antibody array revealed that the EGFR pathway was significantly upregulated in HCC78CR3 versus HCC78 cells. Cells with the ROS1 mutation and upregulated EGFR were sensitive to foretinib, an inhibitor of c-MET, VEGFR2, and ROS1 and irreversible EGFR tyrosine kinase inhibitors plus crizotinib, respectively.Conclusions: Molecular changes associated with acquired crizotinib resistance in ROS1-rearranged NSCLC are heterogeneous, including ROS1 tyrosine kinase mutations, EGFR activation, and epithelial-to-mesenchymal transition.
Acquired resistance mechanisms of AZD9291 in patients with EGFR-mutant NSCLC who failed treatment with first-generation EGFR TKIs include the loss of EGFR-mutant clones plus alternative pathway activation or histologic transformation and EGFR ligand-dependent activation.
The large amount of data on cancer genome research has contributed to our understanding of cancer biology. Indeed, the genomics approach has a strong advantage for analyzing multi-factorial and complicated problems, such as cancer. It is time to think about the actual usage of cancer genomics in the clinical field. The clinical cancer field has lots of unmet needs in the management of cancer patients, which has been defined in the pre-genomic era. Unmet clinical needs are not well known to bioinformaticians and even non-clinician cancer scientists. A personalized approach in the clinical field will bring potential additional challenges to cancer genomics, because most data to now have been population-based rather than individual-based. We can maximize the use of cancer genomics in the clinical field if cancer scientists, bioinformaticians, and clinicians think and work together in solving unmet clinical needs. In this review, we present one imaginary case of a cancer patient, with which we can think about unmet clinical needs to solve with cancer genomics in the diagnosis, prediction of prognosis, monitoring the status of cancer, and personalized treatment decision.
<p>Supplementary Figures S3-S4. Supplementary Figure S3: ROS1 and its downstream signals in HCC78CR1-3 cells after crizotinib exposure. Supplementary Figure S4: p-ROS1 and total ROS1 expression of ROS1-mutant Ba/F3 cells after exposure to foretinib or TAE-684.</p>
<p>Supplementary Figures S7-S8. Supplementary Figure S7: Cell viability assays in HCC78 and HCC78CR1-2 cells treated with afatinib or in combination with crizotinib. Supplementary Figure S8: Cell viability assays in HCC78 and HCC78CR1-2 cells treated with dacomitinib or in combination with crizotinib.</p>
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