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Background: Potential novel strategies for adverse event (AE) management of osimertinib therapy, including therapeutic drug monitoring and the use of biomarkers, have not yet been fully investigated. This study aimed to evaluate (1) the relationship between exposure to osimertinib, especially its active metabolites (AZ5104 and AZ7550), and AEs, and (2) the relationship between germline polymorphisms and AEs. Methods: We conducted a prospective, longitudinal observational study of 53 patients with advanced non-small cell lung cancer receiving osimertinib therapy from February 2019 to April 2022. A population pharmacokinetic model was developed to estimate the area under the serum concentration–time curve from 0 to 24 h (AUC0–24) of osimertinib and its metabolites. Germline polymorphisms were analyzed using TaqMan® SNP genotyping and CycleavePCR® assays. Results: There was a significant association between the AUC0–24 of AZ7550 and grade ≥ 2 paronychia (p = 0.043) or anorexia (p = 0.011) and between that of osimertinib or AZ5104 and grade ≥ 2 diarrhea (p = 0.026 and p = 0.049, respectively). Furthermore, the AUC0–24 of AZ5104 was significantly associated with any grade ≥ 2 AEs (p = 0.046). EGFR rs2293348 and rs4947492 were associated with severe AEs (p = 0.019 and p = 0.050, respectively), and ABCG2 rs2231137 and ABCB1 rs1128503 were associated with grade ≥ 2 AEs (p = 0.008 and p = 0.038, respectively). Conclusion: Higher exposures to osimertinib, AZ5104, and AZ7550 and polymorphisms in EGFR, ABCG2, and ABCB1 were related to higher severity of AEs; therefore, monitoring these may be beneficial for osimertinib AE management.

PURPOSE: Patients' values and priorities in their lives should be appreciated from an early phase of incurable diseases such as advanced cancer. However, studies examining these characteristics have been lacking. This study attempted to determine what patients with advanced lung cancer valued most, once they had been diagnosed, and any associated factors. METHODS: Patients with newly diagnosed advanced lung cancer (N = 248) were enrolled in a questionnaire survey conducted at 16 hospitals in Japan. Their priorities were assessed using a free-text response to the question what is the most important thing to you now? at the time of diagnosis and 3 months after diagnosis. The free-text responses were classified into 10 categories for quantification. The clinical characteristics associated with the category describing daily life were further examined. RESULTS: Free-text comments were obtained from 103 (44.0%) and 66 (42.6%) patients at the time of diagnosis and at 3 months, respectively. The most frequent categories were family (at diagnosis: 50.5%; at 3 months: 50.0%) and daily life (at diagnosis: 33.0%; at 3 months: 36.4%), followed by health (at diagnosis: 32.0%; at 3 months: 27.3%) at both time points. The patients mentioning daily life, the issues related to how to spend daily life, showed significantly higher total scores and functional well-being subscale scores on the Functional Assessment of Cancer Therapy-Lung scale at both time points and lower depression scores at diagnosis and lower anxiety scores at 3 months on the Hospital Anxiety and Depression Scale. CONCLUSION: Family and daily life were highly valued by patients with advanced lung cancer at diagnosis. A better quality of life and better mood were associated with mentioning daily life, which should be taken into account in care planning to maintain patients' involvement in daily life even with incurable diseases.

The optimal treatment for advanced non-small cell lung cancer (NSCLC) in very elderly patients is unclear. We aimed to evaluate their treatment in real-world clinical practice and identify suitable therapy that can improve their prognosis.The medical records of 132 Japanese patients aged 80 years and older with advanced NSCLCs who were enrolled at a university hospital and its 9 affiliates were retrospectively analyzed. Clinical characteristics and overall survival (OS) were compared based on the Eastern Cooperative Oncology Group Performance Status (ECOG PS) and biomarker statuses. Patients were defined as biomarker-positive if programmed death-ligand 1 tumor proportion score (PD-L1 TPS) was ≥ 50% or activating mutations were present in epidermal growth factor receptor, anaplastic lymphoma kinase, or c-ros oncogene 1. Finally, the factors contributing to better prognosis were explored in both PS 0 - 2 and PS 3 - 4 patient groups.The PS 0 - 2 patients showed a longer median OS than the PS 3 - 4 patients (5.5 vs. 1.6 months). PS 0 - 2 patients with positive biomarkers who received chemotherapy showed a significantly longer median OS than those without (18.1 vs. 3.7 months). Among the biomarker-negative/unknown PS 0 - 2 patients, the median OS showed no significant difference between those who received chemotherapy and those who did not (4.5 vs. 3.1 months). The multivariate analysis showed that treatment with tyrosine kinase inhibitors or immune checkpoint inhibitors was related to better prognoses in the PS 0 - 2 group.Biomarker-matched therapy is effective even in very elderly patients. Meanwhile, the effectiveness of chemotherapy for biomarker-negative/unknown PS 0 - 2 patients is questionable.

Alectinib is a highly selective ALK inhibitor and shows promising efficacy in non–small cell lung cancers (NSCLC) harboring the EML4-ALK gene rearrangement. The precise mechanism of acquired resistance to alectinib is not well defined. The purpose of this study was to clarify the mechanism of acquired resistance to alectinib in ALK-translocated lung cancer cells. We established alectinib-resistant cells (H3122-AR) from the H3122 NSCLC cell line, harboring the EML4-ALK gene rearrangement, by long-term exposure to alectinib. The mechanism of acquired resistance to alectinib in H3122-AR cells was evaluated by phospho-receptor tyrosine kinase (phospho-RTK) array screening and Western blotting. No mutation of the ALK-TK domain was found. Phospho-RTK array analysis revealed that the phosphorylation level of EGFR was increased in H3122-AR cells compared with H3122. Expression of TGFα, one of the EGFR ligands, was significantly increased and knockdown of TGFα restored the sensitivity to alectinib in H3122-AR cells. We found combination therapy targeting ALK and EGFR with alectinib and afatinib showed efficacy both in vitro and in a mouse xenograft model. We propose a preclinical rationale to use the combination therapy with alectinib and afatinib in NSCLC that acquired resistance to alectinib by the activation of EGFR bypass signaling. Mol Cancer Ther; 15(1); 162–71. ©2015 AACR.

Irreversible resistance of H3122-AR cells to alectinib

Figure S1. Overview of the CRISPR/Cas9 screen performed in EGFR mutation positive NSCLC PC9 cells. Figure S2. Cell viability assay of cytotoxic agents or ALK-TKI in SHOC2-depleted cells. Figure S3. Supplementary data for domain analysis. Figure S4. Supplementary data for phospho-proteomics analysis. Figure S5. Cell viability assay of celastrol in PC9 and H1975 cells. Figure S6. Supplementary data for xenograft model. Supplemental Table Legends 1-3

EGFR mutation-positive patients with non–small cell lung cancer (NSCLC) respond well to treatment with EGFR–tyrosine kinase inhibitors (EGFR–TKI); however, treatment with EGFR–TKIs is not curative, owing to the presence of residual cancer cells with intrinsic or acquired resistance to this class of drugs. Additional treatment targets that may enhance the efficacy of EGFR–TKIs remain elusive. Using a CRISPR/Cas9-based screen, we identified the leucine-rich repeat scaffold protein SHOC2 as a key modulator of sensitivity to EGFR–TKI treatment. On the basis of in vitro assays, we demonstrated that SHOC2 expression levels strongly correlate with the sensitivity to EGFR–TKIs and that SHOC2 affects the sensitivity to EGFR–TKIs in NSCLC cells via SHOC2/MRAS/PP1c and SHOC2/SCRIB signaling. The potential SHOC2 inhibitor celastrol phenocopied SHOC2 depletion. In addition, we confirmed that SHOC2 expression levels were important for the sensitivity to EGFR–TKIs in vivo. Furthermore, IHC showed the accumulation of cancer cells that express high levels of SHOC2 in lung cancer tissues obtained from patients with NSCLC who experienced acquired resistance to EGFR–TKIs. These data indicate that SHOC2 may be a therapeutic target for patients with NSCLC or a biomarker to predict sensitivity to EGFR–TKI therapy in EGFR mutation-positive patients with NSCLC. Our findings may help improve treatment strategies for patients with NSCLC harboring EGFR mutations.Implications:This study showed that SHOC2 works as a modulator of sensitivity to EGFR–TKIs and the expression levels of SHOC2 can be used as a biomarker for sensitivity to EGFR–TKIs.

A list of sgRNAs in a small-scale custom library

EGFR-mutated lung cancer is a significant subgroup of non–small cell lung cancer. To inhibit EGFR-mediated signals, multiple EGFR tyrosine kinase inhibitors (EGFR-TKI) have been developed; however, approximately one third of patients with EGFR-mutated lung cancer do not respond to EGFR-TKIs. More effective inhibition of EGFR-mediated signals is therefore necessary. For cancers expressing mutated EGFR, including EGFR T790M, which confers resistance to first- (gefitinib and erlotinib) and second- (afatinib) generation EGFR-TKIs, the synergistic efficacy of afatinib and cetuximab combination therapy has been reported in preclinical and clinical studies; however, the mechanisms underlying this effect remain elusive. In this study, we evaluated the effects of multiple EGFR-TKIs on the EGFR monomer–dimer equilibrium by inducing dimerization-impairing mutations in cells expressing EGFR. Interestingly, we found that afatinib and dacomitinib exhibit a monomer preference: cells expressing dimerization-impaired EGFR mutants exhibited increased sensitivity to afatinib and dacomitinib relative to those with dimerization-competent EGFR mutants. Although EGFR-TKIs themselves induce dimerization of EGFR, the inhibition of dimerization by cetuximab overcame EGFR-TKI–induced dimerization. By shifting the monomer–dimer equilibrium toward monomer dominance using cetuximab, the effectiveness of afatinib and dacomitinib improved significantly. We report a novel and clinically relevant phenomenon, the monomer preference of EGFR-TKIs, which can explain the mechanism underlying the synergism observed in afatinib and cetuximab combination therapy. In addition, we propose the novel concept that monomer–dimer equilibrium is an important factor in determining EGFR-TKI efficacy. These findings provide novel insights into treatment strategies for EGFR-TKI–refractory non–small cell lung cancer.

Supplementary Methods includes 4 methods: "Preparation of cell lysates for protein array", "Phosphorylation activity measurement on the array", "Estimation of active pathway by protein array" and "Software".

Multiple epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (EGFR-TKI) have been developed to effectively inhibit EGFR-derived signals in non–small cell lung cancer (NSCLC). In this study, we assessed the efficacy of EGFR-TKIs, including a novel third-generation inhibitor naquotinib (ASP8273), in clinically relevant EGFR mutations, including L858R, exon 19 deletion, L858R+T790M, exon 19 deletion+T790M with or without a C797S mutation, and several exon 20 insertion mutations. Using structural analyses, we also elucidated the mechanism of activation and sensitivity/resistance to EGFR-TKIs in EGFR exon 20 insertion mutations. The efficacy of naquotinib in cells with L858R, exon 19 deletion and exon 19 deletion+T790M was comparable with that of osimertinib. Interestingly, naquotinib was more potent than osimertinib for L858R+T790M. Additionally, naquotinib and osimertinib had comparable efficacy and a wide therapeutic window for cells with EGFR exon 20 insertions. Structural modeling partly elucidated the mechanism of activation and sensitivity/resistance to EGFR-TKIs in two EGFR exon 20 insertion mutants, A767_V769dupASV and Y764_V765insHH. In summary, we have characterized the efficacy of EGFR-TKIs for NSCLC using in vitro and structural analyses and suggested the mechanism of activation and resistance to EGFR-TKIs of EGFR exon 20 insertion mutations. Our findings should guide the selection of appropriate EGFR-TKIs for the treatment of NSCLC with EGFR mutations and help clarify the biology of EGFR exon 20 insertion mutations. Mol Cancer Ther; 17(4); 740–50. ©2018 AACR.

Immunoblotting analysis of H3122-CER cells.

Supplementary Figures includes 6 figures. Supplementary Figure S1: Bypass pathway activation detected using a protein array confers resistance in PC9 cells. Supplementary Figure S2: IGF2-IGF1R activation contributes to acquired resistance to osimertinib in PC9AZDR cells. Supplementary Figure S3: Elucidation of MET amplification as a resistant mechanism in KOLK17 and KOLK37 cells. Supplementary Figure S4: IGF2-IGF1R bypass pathway contributes to acquired resistance in osimertinib-resistant PDCs. Supplementary Figure S5: Quantities of IGF2 reduce in a drug-free medium in KOLK43 cells. Supplementary Figure S6: Effect of combination therapy in vivo.

Figure S1 Synergistic efficacy of afatinib and cetuximab combination therapy Figure S2 Efficacy of EGFR-TKIs and cetuximab combination therapy Figure S3 Effect of EGFR tyrosine kinase inhibitors on EGFR monomer dimer equilibrium Figure S4 Dimerization of EGFR by EGF Figure S5 Proliferation of Ba/F3 cells with indicated EGFR genotypes in vitro Figure S6 Detection of monomer or dimer of EGFR in NIH-3T3 cells by immunoblotting Figure S7 Synergistic efficacy of dacomitinib and cetuximab combination therapy Figure S8 Monomer preference of dacomitinib Figure S9 Effect of the combination therapy in vivo model Figure S10 Evaluation of the cell surface EGFR expression level after drug treatment by flow cytometric analysis Figure S11 Efficacy of the afatinib and cetuximab combination therapy in osimertinib resistant cell lines

Table S1:IC50 values of EGFR-TKIs for lung cancer cell lines. Table S2:IC50 values of EGFR-TKIs for Ba/F3 cells harboring EGFR exon 20 insertion mutations. Table S3:IC50 values of EGFR-TKIs for Ba/F3 cells harboring EGFR L858R or L858R+Y764_V765insHH. Table S4:Inhibitory effects of naquotinib on various kinases.

Supplementary Tables includes 8 tables. Supplementary Table S1: Patient-derived cancer cells: Patient and model characteristics. Supplementary Table S2: List of primer sequences used in quantitative RT-PCR for gene expression analysis. Supplementary Table S3: List of primer sequences used in quantitative PCR for DNA copy number determination. Supplementary Table S4: The list of pathways detected by the protein array and their calculated value scores. Supplementary Table S5: The combination of osimertinib and linsitinib demonstrated a synergistic anti-proliferative effect in PC9AZDR cells. Supplementary Table S6: Mutations detected by target sequence in KOLK43 cells. Supplementary Table S7: The combination of osimertinib and linsitinib demonstrated synergistic anti-proliferative effect in KOLK43 cells. Supplementary Table S8: IGF2 is upregulated in human EGFR-mutant NSCLC with resistance to EGFR-TKI.

EGFR-mutated lung cancer accounts for a significant proportion of lung cancer cases worldwide. For these cases, osimertinib, a third-generation EGFR tyrosine kinase inhibitor, is extensively used as a first-line or second-line treatment. However, lung cancer cells acquire resistance to osimertinib in 1 to 2 years. Thus, a thorough clarification of resistance mechanisms to osimertinib is highly anticipated. Recent next-generation sequencing (NGS) of lung cancer samples identified several genetically defined resistance mechanisms to osimertinib, such as EGFR C797S or MET amplification. However, nongenetically defined mechanisms are not well evaluated. For a thorough clarification of osimertinib resistance, both genetic and nongenetic mechanisms are essential. By using our comprehensive protein phosphorylation array, we detected IGF1R bypass pathway activation after EGFR abolishment. Both of our established lung cancer cells and patient-derived lung cancer cells demonstrated IGF2 autocrine-mediated IGF1R pathway activation as a mechanism of osimertinib resistance. Notably, this resistance mechanism was not detected by a previously performed NGS, highlighting the essential roles of living cancer cells for a thorough clarification of resistance mechanisms. Interestingly, the immunohistochemical analysis confirmed the increased IGF2 expression in lung cancer patients who were treated with osimertinib and met the established clinical definition of acquired resistance. The findings highlight the crucial roles of cell-autonomous ligand expression in osimertinib resistance. Here, we report for the first time the IGF2 autocrine-mediated IGF1R activation as a nongenetic mechanism of osimertinib resistance in lung cancer at a clinically relevant level.Implications:Using comprehensive protein phosphorylation array and patient-derived lung cancer cells, we found that IGF2 autocrine-mediated IGF1R pathway activation is a clinically relevant and common mechanism of acquired resistance to osimertinib.

The sequences primers used in this study

Transdifferentiation of lung adenocarcinoma to small cell lung cancer (SCLC) has been reported in a subset of lung cancer cases that bear EGFR mutations. Several studies have reported the prerequisite role of TP53 and RB1 alterations in transdifferentiation. However, the mechanism underlying transdifferentiation remains understudied, and definitive additional events, the third hit, for transdifferentiation have not yet been identified. In addition, no prospective experiments provide direct evidence for transdifferentiation. In this study, we show that FGF9 upregulation plays an essential role in transdifferentiation. An integrative omics analysis of paired tumor samples from a patient with transdifferentiated SCLC exhibited robust upregulation of FGF9. Furthermore, FGF9 upregulation was confirmed at the protein level in four of six (66.7%) paired samples. FGF9 induction transformed mouse lung adenocarcinoma-derived cells to SCLC-like tumors in vivo through cell autonomous activation of the FGFR pathway. In vivo treatment of transdifferentiated SCLC-like tumors with the pan-FGFR inhibitor AZD4547 inhibited growth. In addition, FGF9 induced neuroendocrine differentiation, a pathologic characteristic of SCLC, in established human lung adenocarcinoma cells. Thus, the findings provide direct evidence for FGF9-mediated SCLC transdifferentiation and propose the FGF9–FGFR axis as a therapeutic target for transdifferentiated SCLC.Significance:This study demonstrates that FGF9 plays a role in the transdifferentiation of lung adenocarcinoma to small cell lung cancer.

This file includes six supplementary Tables. Supplementary Table S1:List of primer sequences. Supplementary Table S2:The calculated IC50 values of PC9 parental and H1975 parental, and corresponding resistant clones. Supplementary Table S3:Summary of whole exome sequencing data. Supplementary Table S4:Number of tags in PIK3CA G118D position in H1975 parental and resistant clones. Supplementary Table S5:The results of the FISH analysis in PC9 and PC9-COR#9 cells. Supplementary Table S6:Number of tags in EGFR E746_A750del position in PC9 parental and resistant clones.

EGFR-mutated lung cancers account for a significant subgroup of non–small cell lung cancers overall. Third-generation EGFR tyrosine kinase inhibitors (TKI) are mutation-selective inhibitors with minimal effects on wild-type EGFR. Acquired resistance develops to these agents, however, the mechanisms are as yet uncharacterized. In this study, we report that the Src–AKT pathway contributes to acquired resistance to these TKI. In addition, amplification of EGFR wild-type alleles but not mutant alleles was sufficient to confer acquired resistance. These findings underscore the importance of signals from wild-type EGFR alleles in acquiring resistance to mutant-selective EGFR-TKI. Our data provide evidence of wild-type allele-mediated resistance, a novel concept of acquired resistance in response to mutation-selective inhibitor therapy in cancer treatment. Cancer Res; 77(8); 2078–89. ©2017 AACR.

This file includes eight supplementary Figures. Supplementary Figure S1:Flow cytometric data for PC9 and PC9-COR cells treated with DMSO or rociletinib. Supplementary Figure S2:Results of human phospho-RTK array experiments in PC9, H1975, and corresponding resistant cells. Supplementary Figure S3:The results of MTS cell proliferation assays for third-generation EGFR-TKIs resistant clones. Supplementary Figure S4:Copy number variants (CNVs) in PC9 and H1975 resistant cells analyzed from exome sequence data. Supplementary Figure S5:Sequence reads for KRAS in PC9-AZDR#4, PC9-AZDR#5, and PC9 parental cells. Supplementary Figure S6:Loss of heterozygosity (LOH) in H1975 resistant cells. Supplementary Figure S7:Efficacy of rociletinib and cetuximab or afatinib co-treatment with H1975 cells expressing wild type or C797S. Supplementary Figure S8:Summary of the mechanisms underlying acquired resistance to third-generation EGFR-TKIs.

Supplementary Table S1. Mutation signature analysis. Supplementary Table S2. Baseline characteristics of the transdifferentiated SCLC patients included in this study. Supplementary Table S3. Intensity of EGFR and Ki67 staining in lung cancer tissues obtained from the indicated patients. Supplementary Table S4. Baseline characteristics of the primary SCLC patients included in this study. Supplementary Table S5. Genetic alterations of the indicated lung cancer cell lines. Supplementary Figure S1. FGF9 immunohistochemistry staining in lung cancer cell lines. Supplementary Figure S2. List of the mutated genes before and after transdifferentiation. Supplementary Figure S3. Gene ontology term analysis in the context of upregulated (A) and downregulated (B) genes. Supplementary Figure S4. Computed tomography images of the patients (Case2-4) during the course of gefitinib therapy. Supplementary Figure S5. EGFR, Ki67 and FGFR1 immunohistochemistry staining of tissues from Cases #5 and #6. Supplementary Figure S6. mRNA expression levels of FGF family genes in lung cancer cell lines. Supplementary Figure S7. Expression of FGF9 and FGF2 in human NSCLC and SCLC cells. Supplementary Figure S8. Functional evaluations of FGF9 in human SCLC cell lines. Supplementary Figure S9. Tumor volumes after MLE12-EGFR transplantation. Supplementary Figure S10. Expression levels of Fgfr family genes in MLE12-FGF9 cells in vitro and in vivo. Supplementary Figure S11. Characteristics of lung adenocarcinoma cell lines. Supplementary Figure S12. In vivo evaluations of FGF9 in H2087 and H2110 cells.

PDF file - 124K, Figure S2. Sub-network 'Calmodulin, c-Cbl, MET, PI3K reg class IA (p85), PDGF-R-beta' of Mitogenic signaling (Supplementary Table S1 No.1). Sub-network is made using 'Analyze network, Build Network' of GeneGo from the significant gene lists associated with H1993 treatment with LY2801653 (3 nM). STAT3 serves as both the divergence and convergence hub. Underexpressed genes (highlighted as blue targets) are significant genes from PamGene data. Eight out of 9 blue targets are represented. CD3Z was excluded from the network to simplify visualization because CD3Z is not related to NSCLC directly. The network objects to be placed in specific sectors of the network according to their sub-cellular localization. The localization sectors are Nucleus, Cytoplasm, Membrane, and Extracellular. Arrow between nodes describes positive (green), negative (red), and unspecified (black) interactions.

PDF file - 94K, Figure S3. Analysis of immunohistochemistry staining and evaluation. A. Scoring system is shown. A pathologist coded MET, p-MET, RON, and p-RON expression as the percentage of positive tumor cells (scale 0%-100%) with staining intensity from 0 to 3+. Positive IHC expression is defined as Scoring System. B. Phosphorylated MET was decreased modestly in LY2801653-treated mice in both A549 and H1993 studies. Moreover, in the treated arms of H1993, Phosphorylated RON was slightly decreased in LY2801653-treated mice.

PDF file - 66K, This table contains the detailed immunohistochemical data scoring depicted in Figure A and B

Esophageal cancer incidence is increasing and has few treatment options. In studying receptor tyrosine kinases associated with esophageal cancers, we have identified EPHB4 to be robustly overexpressed in cell lines and primary tumor tissues. In total, 94 squamous cell carcinoma, 82 adenocarcinoma, 25 dysplasia, 13 Barrett esophagus, and 25 adjacent or unrelated normal esophageal tissues were evaluated by immunohistochemistry. EPHB4 expression was significantly higher in all the different histologic categories than in adjacent normal tissues. In 13 esophageal cancer cell lines, 3 of the 9 SCC cell lines and 2 of the 4 adenocarcinomas expressed very high levels of EPHB4. An increased gene copy number ranging from 4 to 20 copies was identified in a subset of the overexpressing patient samples and cell lines. We have developed a novel 4-nitroquinoline 1-oxide (4-NQO)-induced mouse model of esophageal cancer that recapitulates the EPHB4 expression in humans. A specific small-molecule inhibitor of EPHB4 decreased cell viability in a time- and dose-dependent manner in 3 of the 4 cell lines tested. The small-molecule inhibitor and an EPHB4 siRNA also decreased cell migration (12%–40% closure in treated vs. 60%–80% in untreated), with decreased phosphorylation of various tyrosyl-containing proteins, EphB4, and its downstream target p125FAK. Finally, in a xenograft tumor model, an EPHB4 inhibitor abrogated tumor growth by approximately 60% compared with untreated control. EphB4 is robustly expressed and potentially serves as a novel biomarker for targeted therapy in esophageal cancers. Cancer Res; 73(1); 184–94. ©2012 AACR.

PDF file - 62K, Figure S1. The protein tyrosine kinase activity profile obtained by using H1993 lysates treated with LY2801653 (10 nM) as tested on PamChip microarrays. For each of the 144 protein tyrosine kinase peptides on the array, treatment response was calculated as the log-transformed ratio of phosphorylation. 47 significant tyrosine kinase substrate modulation by LY2801653 (10 nM) treatment is shown (*: p-value

PDF file - 140K, Supplementary Table S1. Interactive gene networks of Mitogenic signaling of H1993 treatment with LY2801653 (3 nM). MetacoreTM (GeneGo) analysis using the tool 'Analyze network, Build Network'. Note: 'Size' represents the total number of genes evaluated in the Map Folder 'Mitogenic Signaling'. 'Target' denotes the number of genes out of the 12 significant genes that are common to that pathway.

A 44-year-old woman underwent contrast-enhanced CT with iopamidol because of a suspected sinusitis. After 10 min, she developed dyspnoea and nausea. Intravenous administration of hydrocortisone 500 mg and metoclopramide 10 mg did not improve her symptoms. One hour later, her percutaneous oxygen

Primary malignant pericardial mesothelioma is an extremely rare disease. Malignant disease of the pericardium is an infrequent cause of cardiac tamponade. Hence, cardiac tamponade in the context of primary malignant mesothelioma of the pericardium is an uncommon clinical scenario. A 67-year-old male patient, an ex-smoker, complaining of progressive lethargy was referred to a hospital for investigation of persistent pericardial effusion. The pericardial fluid cytology was categorized as class Ⅲ. Thereafter, he was referred to our hospital for further evaluation. Fluorodeoxyglucose (FDG) positron emission tomography (PET) revealed FDG accumulation in the pericardium and mediastinal lymph node. Surgical biopsy of the pericardium was performed through a subxiphoid approach for a definitive diagnosis. Histopathological examination revealed diffuse infiltration of the pericardium by a malignant tumor consisting of epithelioid cells with large round nuclei and prominent nucleoli, arranged in a tubular papillary pattern. Finally, the patient was diagnosed with primary malignant pericardial mesothelioma of epithelioid type. The patient died 6 weeks after admission. This diagnosis must be considered in patients having unexplained massive pericardial effusion. Furthermore, we should consider prompt cytological analysis and FDG PET to arrive rapidly at a definitive diagnosis to administer combination chemotherapy that may provide clinical benefit.

Myco-talpology is the science of mushrooms and talpid moles based on our discovery in 1976 that underground mole nests can be located by the aboveground fruiting of the agaricsHebeloma danicumorHebeloma sagarae, a Japanese sibling species of EuropeanHebeloma radicosum. Hyphae of these mushrooms specifically colonise mole latrines near nests, forming ectomycorrhizas with the roots of their host trees. By this process, the hyphae and roots absorb, transform, and translocate the nutrients from mole excretions, cleaning the mole’s habitat. The mushrooms fruit on the ground with thick root-like tissue stretching up from the ectomycorrhizas. The presence of the fruit bodies serves as the only indicator for underground mole nests, enabling us to provide novel insights into mole ecology. We excavated 74H. sagaraeorH. danicumsites in Japan and 13H. radicosumsites in Europe and identified the nesting species. These investigations provided new perspectives on latrine making, nest structure, breeding and nestlings, the neighbouring presence of different Talpini species, and long-term nesting at the same site with inhabitant changes. Moreover, they suggested that a tripartite habitat-cleaning symbiosis among moles, mushrooms, and mushroom-host trees in the latrine must have existed for a long time in Japanese and European forests. While moles are traditionally considered inhabitants of open areas, their special relationship with mushrooms and trees suggests they may originally be forest inhabitants.