Background Alectinib has shown a greater efficacy to ALK -rearranged non-small-cell lung cancers in first-line setting; however, most patients relapse due to acquired resistance, such as secondary mutations in ALK including I1171N and G1202R. Although ceritinib or lorlatinib was shown to be effective to these resistant mutants, further resistance often emerges due to ALK-compound mutations in relapse patients following the use of ceritinib or lorlatinib. However, the drug for overcoming resistance has not been established yet. Methods We established lorlatinib-resistant cells harboring ALK-I1171N or -G1202R compound mutations by performing ENU mutagenesis screening or using an in vivo mouse model. We performed drug screening to overcome the lorlatinib-resistant ALK-compound mutations. To evaluate these resistances in silico , we developed a modified computational molecular dynamic simulation (MP-CAFEE). Findings We identified 14 lorlatinib-resistant ALK-compound mutants, including several mutants that were recently discovered in lorlatinib-resistant patients. Some of these compound mutants were found to be sensitive to early generation ALK-TKIs and several BCR-ABL inhibitors. Using our original computational simulation, we succeeded in demonstrating a clear linear correlation between binding free energy and in vitro experimental IC 50 value of several ALK-TKIs to single- or compound-mutated EML4-ALK expressing Ba/F3 cells and in recapitulating the tendency of the binding affinity reduction by double mutations found in this study. Computational simulation revealed that ALK-L1256F single mutant conferred resistance to lorlatinib but increased the sensitivity to alectinib. Interpretation We discovered lorlatinib-resistant multiple ALK-compound mutations and an L1256F single mutation as well as the potential therapeutic strategies for these ALK mutations. Our original computational simulation to calculate the binding affinity may be applicable for predicting resistant mutations and for overcoming drug resistance in silico. Fund This work was mainly supported by MEXT/JSPS KAKENHI Grants and AMED Grants.

The purpose of this study is to find less biased effect size index in one-way analysis of variance (ANOVA) by performing a thorough Monte Carlo study with 1,000,000 replications per condition. Our results show that contrary to common belief, epsilon squared is the least biased among the threemajorindices, while omega squared produces the least root mean squared errors, for all conditions. Although eta squared results in the least standard deviation, this does not necessarily make it a good estimator because a considerable amount of bias still occurs when the sample size is small.

() gene rearrangement leads to constitutive activation of NTRK1, which induces high-transforming ability. NTRK-rearranged cancers have been identified in several cancer types, such as glioblastoma, non-small cell lung cancer, and colorectal cancer. Although there are currently no clinically approved inhibitors that target NTRK1, several tyrosine kinase inhibitors (TKI), such as entrectinib and LOXO-101, are in clinical trials. The purpose of this study was to identify potential mechanisms of resistance to NTRK inhibitors and find potential therapeutic strategies to overcome the resistance. We examined the sensitivity of TPM3-NTRK1-transformed Ba/F3 cells and TPM3-NTRK1-harboring KM12 cells to multiple NTRK inhibitors. Acquired NTRK inhibitor-resistant mutations were screened by N-ethyl-N-nitrosourea mutagenesis with Ba/F3-TPM3-NTRK1 cells or by the establishment of NTRK-TKI-resistant cells from KM12 cells continuously treated with NTRK-TKIs. We identified multiple novel NTRK-TKI resistance mutations in the NTRK1 kinase domain, including G595R, and insulin growth factor receptor type 1 (IGF1R) bypass pathway-mediated resistance. After identifying the resistance mechanisms, we performed drug screening with small-molecule inhibitors to overcome the resistance. As a result, we found that ponatinib and nintedanib effectively inhibited the survival of TPM3-NTRK1-G667C but not G595R mutants, both of which showed resistance to entrectinib or larotrectinib (LOXO-101). Furthermore, cabozantinib with an IGF1R inhibitor such as OSI-906 could overcome bypass pathway-mediated resistance. We developed a comprehensive model of acquired resistance to NTRK inhibitors in cancer with NTRK1 rearrangement and identified cabozantinib as a therapeutic strategy to overcome the resistance. .

We comprehensively compared all available questionnaires for measuring quantitative autistic traits (QATs) in terms of reliability and construct validity in 3,147 non-clinical and 60 clinical subjects with normal intelligence. We examined four full-length forms, the Subthreshold Autism Trait Questionnaire (SATQ), the Broader Autism Phenotype Questionnaire, the Social Responsiveness Scale2-Adult Self report (SRS2-AS), and the Autism-Spectrum Quotient (AQ). The SRS2-AS and the AQ each had several short forms that we also examined, bringing the total to 11 forms. Though all QAT questionnaires showed acceptable levels of test-retest reliability, the AQ and SRS2-AS, including their short forms, exhibited poor internal consistency and discriminant validity, respectively. The SATQ excelled in terms of classical test theory and due to its short length.

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