2020
DOI: 10.1016/j.omto.2019.12.009
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IRS2 Amplification as a Predictive Biomarker in Response to Ceritinib in Small Cell Lung Cancer

Abstract: Small cell lung cancer (SCLC) is a fast-growing and malignant cancer that responds well to chemotherapy; however, the survival rate is less than 15% after 2 years of diagnosis. Therefore, novel therapeutic agents for treating SCLC patients need to be evaluated. This study aims to identify the therapeutic targets based on the comprehensive genomic profiling of SCLC patients. Among the molecular-profiled SCLC samples obtained using targeted sequencing, the array-based comparative genomic hybridization (array CGH… Show more

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Cited by 6 publications
(3 citation statements)
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“…In the xenograft model, treatment with ceritinib at a dosage of 50 mg/kg resulted in a significant reduction in tumor weight and volume across all the mice (Figure 6). This outcome aligns with a previous xenograft study utilizing the A375P melanoma cell line, which also lacked ALK rearrangements or mutations [62].…”
Section: Discussionsupporting
confidence: 89%
“…In the xenograft model, treatment with ceritinib at a dosage of 50 mg/kg resulted in a significant reduction in tumor weight and volume across all the mice (Figure 6). This outcome aligns with a previous xenograft study utilizing the A375P melanoma cell line, which also lacked ALK rearrangements or mutations [62].…”
Section: Discussionsupporting
confidence: 89%
“…Moreover, IRS2 is thought to be a candidate driver oncogene on 13q34 in colorectal cancer. Ampification of IRS2 was observed in 2-5% of SCLC patients [13,25], and ceritinib, a dual inhibitor of ALK/IGF-1R, could efficiently inhibit the growth of SCLC with IRS2 amplification in vitro and in vivo. Moreover, We found KARS mutation and IRS2 amplification co-occurrence in 3 patients.…”
Section: Discussionmentioning
confidence: 99%
“…However, it is difficult to make a direct comparison with the result of the previous study because various factors that can affect the result, such as the PET image features used, the applied target genes, tumor segmentation method, scanner, image protocol, and analyzing strategy are all different. In SQCC, four major genes were associated with 6 PET image features: ERCC2 25 , IRS2 26 , NOTCH1 27 , and XPO1 28 , which functions as a DNA repair gene 25 , mediates effects of insulin and other cytokines 26 , plays a role in cell growth, division, differentiation, and apoptosis 27 , and mediates the nuclear export of proteins and RNAs 28 , respectively. Image clusters were associated with the p53, WNT, and cell cycle pathways.…”
Section: Discussionmentioning
confidence: 99%