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Paclitaxel (PTX) is widely used in the front-line chemotherapy for gastric cancer (GC), but resistance limits its use. Due to the lack of proper models, mechanisms underlying PTX resistance in GC were not well studied. Using established PTX-resistant GC cell sublines HGC-27R, we for the first time integrated biological traits and molecular mechanisms of PTX resistance in GC. Data revealed that PTX-resistant GC cells were characterized by microtubular disorders, an EMT phenotype, reduced responses to antimitotic drugs, and resistance to apoptosis (marked by upregulated β-tubulin III, vimentin, attenuated changes in G2/M molecules or pro-apoptotic factors in response to antimitotic drugs or apoptotic inducers, respectively). Activation of the phosphoinositide 3-kinase, the serine/threonine kinase Akt and mammalian target of rapamycin (PI3K/Akt/mTOR) and mitogen-activated protein kinase (MAPK) pathways were also observed, which might be the reason for above phenotypic alternations. In vitro data suggested that targeting these pathways were sufficient to elicit antitumor responses in PTX-resistant GC, in which the dual PI3K/mTOR inhibitor BEZ235 displayed higher therapeutic efficiency than the mTOR inhibitor everolimus or the MEK inhibitor AZD6244. Antitumor effects of BEZ235 were also confirmed in mice bearing HGC-27R tumors. Thus, these data suggest that PI3K/Akt/mTOR and MAPK pathway inhibition, especially PI3K/mTOR dual blockade, might be a promising therapeutic strategy against PTX-resistant GC.

BackgroundCell cycle dysregulation is common in human malignancies, and CDK4/6 inhibitors targeting cell cycle have potential antitumor activity. SHR6390 is a novel small molecule inhibitor specifically targeting the CDK4/6 pathway. However, the role of SHR6390 in esophageal squamous cell carcinoma (ESCC) remains unknown, which will be investigated in our study.MethodsEca 109, Eca 9706, and KYSE-510 ESCC cell lines were chosen for further analysis. The effect of SHR6390 on cell viability, cell cycle and cell apoptosis, the status of kinases in Cyclin D1-CDK4/6-Rb pathway were determined by MTS assay, flow cytometry, and western blotting, respectively. Cell-derived and patient-derived xenografts were established to investigate the effects of drugs in vivo.ResultsSHR6390 could suppress cell proliferation in vitro cell lines and inhibit tumor growth in vivo PDX models with different drug susceptibility. The effective treatment of SHR6390 induced the inhibition of phosphorylated Rb and cell cycle arrest at G1 phase both in cell lines and in xenografts. SHR6390 combined with paclitaxel or cisplatin offered synergistic inhibitory effects in cell-derived xenografts especially in Eca 9706 xenografts which showed relative lower sensitivity of SHR6390 single. Moreover, low expression of CDK6 and/or high expression of Cyclin D1 might be associated with high sensitivity of SHR6390, which would be validated in the future.ConclusionsCDK4/6 inhibitor-SHR6390 exerted potential antitumor activity against ESCC cell lines and xenografts, and evaluation of CDK6 and Cyclin D1 expressions might be helpful to select patients beneficial from SHR6390, which provided evidences for future clinical trials.Electronic supplementary materialThe online version of this article (doi:10.1186/s12967-017-1231-7) contains supplementary material, which is available to authorized users.

BackgroundPatient-derived xenograft (PDX) models with definite molecular signature are attractive preclinical models for development of novel targeted drugs. Here, we profiled and explored potential therapeutic targets based on characterized PDX models for advanced gastric cancer (AGC).MethodsThe genomic variation and molecular profile of 50 PDX models from AGC patients were analyzed by targeted next-generation sequencing, in situ hybridization, and immunohistochemistry. The antitumor activities of several targeted drugs were investigated in the PDX models. Furthermore, response biomarkers were explored.ResultsEach PDX model had individual histopathological and molecular features, and recurrent alterations in the MAPK, ErbB, VEGF, mTOR, and cell cycle signaling pathways were major events in these PDX models. Several potential drug targets, such as EGFR, MET, and CCNE1, were selected and validated in this study. Volitinib demonstrated strong antitumor activity in PDX models with MET and phosphorylated MET (pMET) overexpression. The EGFR monoclonal antibodies BK011 and cetuximab inhibited tumor growth in a PDX model with EGFR amplification. Afatinib inhibited tumor growth in the PDX models with EGFR amplification, EGFR overexpression, or HER2 amplification. Apatinib was more sensitive in the PDX models with high microvessel density. The CDK1/2/9 inhibitor AZD5438 had superior anti-tumor activity in two models with higher copy number of CCNE1.ConclusionsPDX models with defined molecular signature are useful for preclinical studies with targeted drugs, and the results should be validated in larger studies with PDX models or in clinical trials.Electronic supplementary materialThe online version of this article (10.1186/s13045-018-0563-y) contains supplementary material, which is available to authorized users.

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BackgroundSquamous cell carcinoma is the dominant type of esophageal cancer in China with many patients initially diagnosed at advanced stage. Patient-derived xenografts (PDX) models have been developed to be an important platform for preclinical research. This study aims to establish and characterize PDX models using biopsy tissue from advanced esophageal cancer patients to lay the foundation of preclinical application.MethodsFresh endoscopic biopsy tissues were harvested from patients with advanced esophageal cancer and implanted subcutaneously into NOD/SCID mice. Then, the PDXs were serially passaged for up to four generations. Transplantation was analyzed and genomic characteristics of xenografts were profiled using next-generation sequencing.ResultsTwenty-five PDX models were established (13.3%, 25/188). The latency period was 75.12 ± 19.87 days (50–120 days) for the first passage and it decreased with increasing passaging. Other than tumor stages, no differences were found between transplantations of xenografts and patient characteristics, irrespective of chemotherapy. Histopathological features and chemosensitivity of PDXs were in great accordance with primary patient tumors. Each PDX was assessed for molecular characteristics including copy number variations, somatic mutations, and signaling pathway abnormalities and these were similar to patient results.ConclusionsOur PDX models were established from real time biopsies and molecularly profiled. They might be promising for drug development and individualized therapy.Electronic supplementary materialThe online version of this article (10.1186/s12967-018-1379-9) contains supplementary material, which is available to authorized users.

Alternative mRNA splicing (AS) contributes greatly to expanding the diversity and function of the proteome. Increasing evidence has suggested that dysregulation of mRNA splicing may be associated with various types of cancer. In the present study, RNA sequencing data were used to investigate alterations to the global mRNA splicing landscape of cellular genes from 452 stomach adenocarcinoma (STAD) tissues available in The Cancer Genome Atlas. Seven types of AS events, including the profiles of exon skipping events, were analyzed using SpliceSeq software. A total of 60,754 AS events in 10,611 genes were detected, more than half of which were exon skipping events. The AS events were compared between 415 STAD tissues and 37 normal tissues, and 3,895 differentially spliced cancer-specific events were identified. In addition, the association of the AS events with the overall survival of 373 STAD patients was analyzed. Multivariate Cox regression analysis revealed that prognosis prediction models based on the AS events with clinical parameters had an excellent performance in predicting the survival of STAD patients. This study provides a comprehensive portrait of global changes in mRNA splicing signatures that occur in gastric cancer. These results allowed the identification of a core set of AS in gastric cancer and indicated that AS events may serve as prognostic indicators.

Purpose Here, we sought to develop a PET radioligand based on trastuzumab labeled with 124 I, 124 I-trastuzumab, to evaluate its distribution, internal dosimetry, and initial PET images of HER2-positive lesions in gastric cancer (GC) patients. Methods In animal studies, micro-PET imaging and bio-distribution were performed to examine the specificity of 124 I-trastuzumab in HER2-positive and HER2-negative mouse models. Subsequently, 124 I-trastuzumab was applied in human clinic trial. Six gastric cancer patients with metastases underwent 124 I-trastuzumab PET imaging, with 18 F-FDG PET/CT in each to compare. Results In animal studies, PET imaging of 124 I-trastuzumab showed significant higher tumor uptake than that of 124 I-IgG1 in HER2-positive PDX mouse models at 24 h. The low tumor uptake of 124 I-trastuzumab in HER2-negative PDX models further confirmed the specificity. In human clinical studies, 18 HER2-positive lesions and 11 HER2-negative lesions were evaluated in PET imaging analysis. The detection sensitivity of 124 I-trastuzumab was 100% (18/18) at 24 h. The PET images showed significant difference in tumor uptake between HER2-positive and HER2-negative lesions at 24 h (SUVmax 7.83 ± 0.55 vs. 1.75 ± 0.29, p < 0.0001). Quite striking difference in tumor uptake was observed between 124 I-trastuzumab and 18 F-FDG (SUVmax 1.75 ± 0.29 vs. 6.46 ± 0.44, p < 0.0001) in HER2-negative lesions, further confirming the specific binding of 124 I-trastuzumab in HER2-positive lesions. The radiation-absorbed dose was calculated to be 0.3011 ± 0.005 mSv/MBq. No toxicities or adverse effects were observed in any of the patients. ConclusionThe findings described here demonstrated that 124 I-trastuzumab was feasible to detect HER2-positive lesions in primary and metastatic gastric cancer patients and to differentiate HER2-positive and HER2-negative lesions quantitatively.Xiaoyi Guo, Nina Zhou, and Zuhua Chen have contributed equally to this work.