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Takeshi Hanagiri

Bio: Takeshi Hanagiri is an academic researcher from University of Occupational and Environmental Health Japan. The author has contributed to research in topics: Lung cancer & Adenocarcinoma. The author has an hindex of 33, co-authored 210 publications receiving 3859 citations.


Papers
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Journal Article
TL;DR: EMT plays a role in approximately half of the cases of resistance to EGFR-TKI, independent of T790M mutation, according to analysis of tumour samples from lung adenocarcinoma patients.
Abstract: Background: The epithelial to mesenchymal transition (EMT) may well play a part in determining the sensitivity to epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI). However to date, no study has investigated the association between the EMT status and acquired resistance using cancer specimens. Patients and Methods: Immunohistochemical (IHC) staining was used to analyse the protein expression of epithelial and mesenchymal markers in tumour samples from lung adenocarcinoma patients. Mutations in the EGFR and K-ras gene were also examined. Results: All patients showed a positive expression of epithelial markers in sensitive tumours. Tumour in 4 (44.4%) out of 9 patients showed down-regulation of epithelial markers or up-regulation of mesenchymal markers. The change in the EMT status between pre-and post-treatment was shown in 2 cases each with and without the T790M mutation. Conclusion: EMT plays a role in approximately half of the cases of resistance to EGFR-TKI, independent of T790M mutation.

165 citations

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TL;DR: The mutations within the tyrosine kinase domain of EGFR were found to specifically occur in lung adenocarcinoma patients with a low exposure of tobacco smoking.
Abstract: Somatically acquired mutations in the epidermal growth factor receptor (EGFR) gene in lung cancer are associated with significant clinical responses to gefitinib, a tyrosine kinase inhibitor that targets EGFR. We screened the EGFR in 469 resected tumours of patients with lung cancer, which included 322 adenocarcinomas, 102 squamous cell carcinomas, 27 large cell carcinomas, 13 small cell carcinomas, and five other cell types. PCR with a specific condition was performed to identify any deletion in exon 19, while mutant-allele-specific amplification was performed to identify a mutation in codon 858 of exon 21. EGFR mutations were found in 136 cases (42.2%) with adenocarcinoma, in one case with large cell carcinoma, and in one case with pleomorphic carcinoma. An in-frame deletion in exon 19 was found in 62 cases while an L858R mutation was found in 77 cases. In the 322 cases with adenocarcinoma, these mutations were more frequently found in women than in men (P=0.0004), in well differentiated tumours than in poorly differentiated tumours (P=0.0014), and in patients who were never smokers than in patients who were current/former smokers (P<0.0001). The mutation was more frequently observed in patients who smoked ⩽20 pack-year, and in patients who quit at least 20 years before the date of diagnosis for lung cancer. The K-ras mutations were more frequently found in smokers than in never smokers, and in high-dose smokers than in low-dose smokers. In conclusion, the mutations within the tyrosine kinase domain of EGFR were found to specifically occur in lung adenocarcinoma patients with a low exposure of tobacco smoking.

143 citations

Journal ArticleDOI
TL;DR: The T790M mutation in the EGFR is relatively common in the patients with acquired resistance to gefitinib, however, mechanisms other than T790m, MET, and HGF status are involved in resistance togefit inib.

123 citations

Journal ArticleDOI
TL;DR: It is hypothesized that the majority of tumor cells with normal HLA class I expression were attacked and eradicated by CTLs, and only a minority with an abnormal expression of HLAclass I antigens could escape the host's immunosurveillance system.
Abstract: One of tumor escape mechanisms from the host's immunosurveillance system (i.e., a haplotype loss of HLA class I antigens) has been detected in various tumor cells. We hypothesize that the majority of tumor cells with normal HLA class I expression were attacked and eradicated by CTLs, and only a minority with an abnormal expression of HLA class I antigens could escape the host's immunosurveillance system. Using HLA class I-transfected tumor variants as stimulators in A904L lung cancer cell line, which has a haplotype loss of HLA class I antigens, both the transfected HLA-A26 and HLA-B39-restricted CTL lines were induced from autologous lymphocytes. However, only one HLA-B39-restricted CTL clone (CTL G3b) was established, and it was then used to identify the antigen. SGT1B [suppressor of G2 allele of SKP1 (SGT1), suppressor of kinetochore protein (SKP1)] was identified as the antigen recognized by CTL G3b. Further experiments using 13 subclones from a primary culture of A904L were found to confirm our above-mentioned hypothesis. Tumor cells with a normal HLA class I expression may thus be killed by CTL at an early stage of carcinogenesis, and only tumor cells with a haplotype loss of HLA class I antigens can escape an immune attack and develop into clinical cancer.

96 citations

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TL;DR: EGFR mutations in exons 19 or 21 are considered to be a good predictor of the efficacy of gefitinib, and four of five acquired resistant tumors showed an acquired T790M mutation.

92 citations


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Journal ArticleDOI
TL;DR: This new adenocarcinoma classification is needed to provide uniform terminology and diagnostic criteria, especially for bronchioloalveolar carcinoma (BAC), the overall approach to small nonresection cancer specimens, and for multidisciplinary strategic management of tissue for molecular and immunohistochemical studies.

3,850 citations

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TL;DR: There are now unprecedented opportunities to understand and overcome drug resistance through the clinical assessment of rational therapeutic drug combinations and the use of predictive biomarkers to enable patient stratification.
Abstract: Resistance to chemotherapy and molecularly targeted therapies is a major problem facing current cancer research. The mechanisms of resistance to 'classical' cytotoxic chemotherapeutics and to therapies that are designed to be selective for specific molecular targets share many features, such as alterations in the drug target, activation of prosurvival pathways and ineffective induction of cell death. With the increasing arsenal of anticancer agents, improving preclinical models and the advent of powerful high-throughput screening techniques, there are now unprecedented opportunities to understand and overcome drug resistance through the clinical assessment of rational therapeutic drug combinations and the use of predictive biomarkers to enable patient stratification.

3,514 citations

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TL;DR: Detailed genetic and histological analysis of 37 patients with drug-resistant non–small cell lung cancers carrying EGFR mutations provides new insights into the shifting sands of drug resistance evolution in lung cancers and suggests that serial biopsies may be essential in the quest to reverse or even prevent the development ofdrug resistance.
Abstract: Lung cancers harboring mutations in the epidermal growth factor receptor (EGFR) respond to EGFR tyrosine kinase inhibitors, but drug resistance invariably emerges. To elucidate mechanisms of acquired drug resistance, we performed systematic genetic and histological analyses of tumor biopsies from 37 patients with drug-resistant non–small cell lung cancers (NSCLCs) carrying EGFR mutations. All drug-resistant tumors retained their original activating EGFR mutations, and some acquired known mechanisms of resistance including the EGFR T790M mutation or MET gene amplification. Some resistant cancers showed unexpected genetic changes including EGFR amplification and mutations in the PIK3CA gene, whereas others underwent a pronounced epithelial-to-mesenchymal transition. Surprisingly, five resistant tumors (14%) transformed from NSCLC into small cell lung cancer (SCLC) and were sensitive to standard SCLC treatments. In three patients, serial biopsies revealed that genetic mechanisms of resistance were lost in the absence of the continued selective pressure of EGFR inhibitor treatment, and such cancers were sensitive to a second round of treatment with EGFR inhibitors. Collectively, these results deepen our understanding of resistance to EGFR inhibitors and underscore the importance of repeatedly assessing cancers throughout the course of the disease.

2,972 citations

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TL;DR: Recommendations are to subclassify T1 into T1a, T1b, and T1c, and to group involvement of main bronchus as T2 regardless of distance from carina; to group partial and total atelectasis/pneumonitis as T1; to reclassify diaphragm invasion as T4; and to delete mediastinal pleura invasion as a T descriptor.

1,511 citations

Journal ArticleDOI
TL;DR: EGFR mutations are the strongest predictive biomarker for PFS and tumor response to first-line gefitinib versus carboplatin/paclitaxel and the predictive value of EGFR gene copy number was driven by coexisting EGFR mutation (post hoc analysis).
Abstract: Purpose The results of the Iressa Pan-Asia Study (IPASS), which compared gefitinib and carboplatin/paclitaxel in previously untreated never-smokers and light ex-smokers with advanced pulmonary adenocarcinoma were published previously. This report presents overall survival (OS) and efficacy according to epidermal growth factor receptor (EGFR) biomarker status. Patients and Methods In all, 1,217 patients were randomly assigned. Biomarkers analyzed were EGFR mutation (amplification mutation refractory system; 437 patients evaluable), EGFR gene copy number (fluorescent in situ hybridization; 406 patients evaluable), and EGFR protein expression (immunohistochemistry; 365 patients evaluable). OS analysis was performed at 78% maturity. A Cox proportional hazards model was used to assess biomarker status by randomly assigned treatment interactions for progression-free survival (PFS) and OS. Results OS (954 deaths) was similar for gefitinib and carboplatin/paclitaxel with no significant difference between treatmen...

1,416 citations