Although fibroblast growth factor (FGF) signals are strongly associated with malignancy, limited information is available regarding the role of the FGF9 signal in colorectal cancer (CRC). In this study, we investigated the frequency of FGF9 amplification in CRC clinical specimens and the association between the FGF9 gene and resistance to anti-EGFR therapies. In clinical samples, an FGF9 copy number gain of >5 copies was observed at a frequency of 8/145 (5.5%) and tended to be related to wild-type KRAS (7/96, 7.3%). Furthermore, FGF9 amplification was not observed in any of the samples from the 15 responders to anti-EGFR therapies but was observed in one sample from the seven non-responders with wild-type KRAS, and two samples from non-responders also had high FGF9 mRNA expression levels. FGF9 amplification was validated using a fluorescence in situ hybridization (FISH) analysis, and FGF9-amplified sections showed readily detectable signals originating from FGF9 protein when examined using immunohistochemistry. In both the in vitro and in vivo experiments using FGF9-overexpressing CRC cell lines, FGF9 overexpression induced strong resistance to anti-EGFR therapies via the enforced FGFR signal, and this resistance was cancelled by the application of an FGFR inhibitor. Considering these results, the FGF9 gene may play an important role in resistance to anti-EGFR therapies in patients with CRC, and such resistance might be overcome by combined treatment with an anti-FGFR inhibitor. These findings strongly encourage the development of FGFR-targeted therapy for CRC patients with FGF9 gene upregulation. © 2016 Wiley Periodicals, Inc.

Small-cell lung carcinoma (SCLC) and large-cell neuroendocrine lung carcinoma (LCNEC) are high-grade lung neuroendocrine tumors (NET). However, comparative protein expression within SCLC and LCNEC remains unclear. Here, protein expression profiles were obtained via mass spectrometry-based proteomic analysis. Weighted gene co-expression network analysis (WGCNA) identified co-expressed modules and hub genes. Of 34 identified modules, six were significant and selected for protein–protein interaction (PPI) network analysis and pathway enrichment. Within the six modules, the activation of cellular processes and complexes, such as alternative mRNA splicing, translation initiation, nucleosome remodeling and deacetylase (NuRD) complex, SWItch/Sucrose Non-Fermentable (SWI/SNF) superfamily-type complex, chromatin remodeling pathway, and mRNA metabolic processes, were significant to SCLC. Modules enriched in processes, including signal recognition particle (SRP)-dependent co-translational protein targeting to membrane, nuclear-transcribed mRNA catabolic process of nonsense-mediated decay (NMD), and cellular macromolecule catabolic process, were characteristically activated in LCNEC. Novel high-degree hub genes were identified for each module. Master and upstream regulators were predicted via causal network analysis. This study provides an understanding of the molecular differences in tumorigenesis and malignancy between SCLC and LCNEC and may help identify potential therapeutic targets.

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it is unclear how epidermal growth factor receptor EGFR major driver mutations (L858R or Ex19del) affect downstream molecular networks and pathways. This study aimed to provide information on the influences of these mutations. The study assessed 36 protein expression profiles of lung adenocarcinoma (Ex19del, nine; L858R, nine; no Ex19del/L858R, 18). Weighted gene co-expression network analysis together with analysis of variance-based screening identified 13 co-expressed modules and their eigen proteins. Pathway enrichment analysis for the Ex19del mutation demonstrated involvement of SUMOylation, epithelial and mesenchymal transition, ERK/mitogenactivated protein kinase signalling via phosphorylation and Hippo signalling. Additionally, analysis for the L858R mutation identified various pathways related to cancer cell survival and death. With regard to the Ex19del mutation, ROCK, RPS6KA1, ARF1, IL2RA and several ErbB pathways were upregulated, whereas AURK and GSKIP were downregulated. With regard to the L858R mutation, RB1, TSC22D3 and DOCK1 were downregulated, whereas various networks, including VEGFA, were moderately upregulated. In all mutation types, CD80/CD86 (B7), MHC, CIITA and IFGN were activated, whereas CD37 and SAFB were inhibited. Costimulatory immune-checkpoint pathways by B7/CD28 were mainly activated, whereas those by PD-1/PD-L1 were inhibited. Our findings may help identify potential therapeutic targets and develop therapeutic strategies to improve patient outcomes. Mutations in the tyrosine kinase domain of the epidermal growth factor receptor (EGFR) were identified as causes of non-small-cell lung cancer (NSCLC) in 2004 1,2. Somatic mutations in the kinase domain of the EGFR gene are detected in approximately 40% and 17% of lung adenocarcinomas in Asians 3 and Caucasians 4 , respectively. The most common oncogenic mutations are small, in-frame deletions in exon 19 (44.8%) and a point mutation that substitutes Leu-858 with arginine (L858R) (39.8%) 5. Importantly, activating mutations have been found to confer sensitivity to the small molecule tyrosine kinase inhibitors (TKIs) gefitinib, erlotinib and afatinib. These EGFR-TKIs (targeted therapies for patients with EGFR-mutant NSCLC) have been established as standard first-line treatments according to pivotal phase III trials that reported an improved objective response rate of approximately 70% and significantly longer progression-free survival (PFS) (range, 8.0-13.7 months) with EGFR-TKIs than with conventional chemotherapy 6-8. Eventually, drug resistance occurs in most patients after 1 year of treatment. Therefore, novel treatment strategies have been challenged to improve the survival benefit of first-line treatment. Basically, the efficacy of these EGFR-TKIs is limited based on the result of drug resistance

The differential diagnosis of epithelial proliferative disease using core needle biopsy (CNB) is problematic because it is difficult to differentiate between intraductal papilloma, ductal hyperplasia, ductal carcinoma in situ, and invasive ductal carcinoma. Many studies have reported that breast cancer lesions are positive for neuroendocrine (NE) markers, whereas only a small number of studies have reported immunopositivity for NE markers in normal mammary tissues or benign lesions. We asked whether NE factors could be used as markers of breast cancer. We determined the immunopositivity rate of synaptophysin, an NE marker, in 204 lesions excised from the breast using CNB in patients who visited a universityaffiliated comprehensive medical facility and examined whether synaptophysin is a marker of breast cancer. The specimens were classified as synaptophysin-negative cases (56 benign, 99 malignant); equivocal cases (<1 %: 2 benign, 15 malignant); and synaptophysin-positive cases (1 benign, 31 malignant). The sensitivity, specificity, positive predictive value, and negative predictive value for malignancy of the lesions classified as synaptophysin positive were 23.3 %, 98.2 %, 96.9 %, and 36.1 %, respectively. The respective values for lesions classified as equivocal were 11.6 %, 96.6 %, 88.2 %, and 36.1 %. Synaptophysin may provide a marker of breast cancer diagnosed by CNB.