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Background Evading immune surveillance is necessary for tumor metastasis. Thus, there is an urgent need to better understand the interaction between metastasis and mechanisms of tumor immune evasion. In this study, we aimed to clarify a novel mechanism that link tumor metastasis and immunosuppression in the development of esophageal squamous cell carcinoma (ESCC). Methods The expression of melanoma‐associated antigen C3 (MAGE‐C3) was detected using immunohistochemistry. Transwell assays were used to evaluate the migration and invasion ability of esophageal squamous cell carcinoma (ESCC) cells. Metastasis assays in mice were used to evaluate metastatic ability in vivo. Lymphocyte‐mediated cytotoxicity assays were performed to visualize the immune suppression function on tumor cells. RNA sequencing was performed to identify differentially expressed genes between MAGE‐C3 overexpressing ESCC cells and control cells. Gene ontology (GO) enrichment analyses was performed to identify the most altered pathways influenced by MAGE‐C3. The activation of the interferon‐γ (IFN‐γ) pathway was analyzed using Western blotting, GAS luciferase reporter assays, immunofluorescence, and flow cytometry. The role of MAGE‐C3 in the IFN‐γ pathway was determined by Western blotting and immunoprecipitation. Furthermore, immunohistochemistry and flow cytometry analysis monitored the changes of infiltrated T cell populations in murine lung metastases. Results MAGE‐C3 was overexpressed in ESCC tissues. High expression of MAGE‐C3 had a significant association with the risk of lymphatic metastasis and poor survival in patients with ESCC. Functional experiments revealed that MAGE‐C3 promoted tumor metastasis by activating the epithelial‐mesenchymal transition (EMT). MAGE‐C3 repressed antitumor immunity and regulated cytokine secretion of T cells, implying an immunosuppressive function. Mechanistically, MAGE‐C3 facilitated IFN‐γ signaling and upregulated programmed cell death ligand 1 (PD­L1) by binding with IFN‐γ receptor 1 (IFNGR1) and strengthening the interaction between IFNGR1 and signal transducer and activator of transcription 1 (STAT1). Interestingly, MAGE‐C3 displayed higher tumorigenesis in immune‐competent mice than in immune‐deficient nude mice, confirming the immunosuppressive role of MAGE‐C3. Furthermore, mice bearing MAGE‐C3‐overexpressing tumors showed worse survival and more lung metastases with decreased CD8+ infiltrated T cells and increased programmed cell death 1 (PD‐1)+CD8+ infiltrated T cells. Conclusion MAGE‐C3 enhances tumor metastasis through promoting EMT and protecting tumors from immune surveillance, and could be a potential prognostic marker and therapeutic target., Our results identified that MAGE‐C3 promotes tumor metastasis not only through the EMT but also by protecting tumors from immunosurveillance

Background: Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accelerate the radiotherapy workflow and decrease the treatment wait time. We developed and evaluated the use of a fused model Dense V-Network for its ability to accurately segment pelvic OAR. Material and methods: We combined two network models, Dense Net and V-Net, to establish the Dense V-Network algorithm. For the training model, we adopted 100 kV computed tomography (CT) images of patients with cervical cancer, including 80 randomly selected as training sets, by which to adjust parameters of the automatic segmentation model, and the remaining 20 as test sets to evaluate the performance of the convolutional neural network model. Three representative parameters were used to evaluate the segmentation results quantitatively. Results: Clinical results revealed that Dice similarity coefficient values of the bladder, small intestine, rectum, femoral head and spinal cord were all above 0.87 mm; and Jaccard distance was within 2.3 mm. Except for the small intestine, the Hausdorff distance of other organs was less than 9.0 mm. Comparison of our approaches with those of the Atlas and other studies demonstrated that the Dense V-Network had more accurate and efficient performance and faster speed. Conclusions: The Dense V-Network algorithm can be used to automatically segment pelvic OARs accurately and efficiently, while shortening patients’ waiting time and accelerating radiotherapy workflow.

BACKGROUND Targeted arterial infusion of verapamil combined with chemotherapy (TVCC) is an effective clinical interventional therapy for esophageal squamous cell carcinoma (ESCC), but multidrug resistance (MDR) remains the major cause of relapse or poor prognosis, and the underlying molecular mechanisms of MDR, temporal intratumoral heterogeneity, and clonal evolutionary processes of resistance have not been determined. METHODS To elucidate the roles of genetic and epigenetic alterations in the evolution of acquired resistance during therapies, we performed whole-exome sequencing on 16 serial specimens from 7 patients with ESCC at every cycle of therapeutic intervention from 3 groups, complete response, partial response, and progressive disease, and we performed whole-genome bisulfite sequencing for 3 of these 7 patients, 1 patient from each group. RESULTS Patients with progressive disease exhibited a substantially higher genomic and epigenomic temporal heterogeneity. Subclonal expansions driven by the beneficial new mutations were observed during combined therapies, which explained the emergence of MDR. Notably, SLC7A8 was identified as a potentially novel MDR gene, and functional assays demonstrated that mutant SLC7A8 promoted the resistance phenotypes of ESCC cell lines. Promoter methylation dynamics during treatments revealed 8 drug resistance protein-coding genes characterized by hypomethylation in promoter regions. Intriguingly, promoter hypomethylation of SLC8A3 and mutant SLC7A8 were enriched in an identical pathway, protein digestion and absorption, indicating a potentially novel MDR mechanism during treatments. CONCLUSION Our integrated multiomics investigations revealed the dynamics of temporal genetic and epigenetic inter- and intratumoral heterogeneity, clonal evolutionary processes, and epigenomic changes, providing potential MDR therapeutic targets in treatment-resistant patients with ESCC during combined therapies. FUNDING National Natural Science Foundation of China, Science Foundation of Peking University Cancer Hospital, CAMS Innovation Fund for Medical Sciences, Major Program of Shenzhen Bay Laboratory, Guangdong Basic and Applied Basic Research Foundation, and the third round of public welfare development and reform pilot projects of Beijing Municipal Medical Research Institutes.

Background The prognosis for esophageal squamous cell carcinoma (ESCC) patients with lymph node metastasis (LNM) is still dismal. Elucidation of the LNM associated genomic alteration and underlying molecular mechanisms may provide clinical therapeutic strategies for ESCC treatment. Methods Joint analysis of ESCC sequencing data were conducted to comprehensively survey SCNAs and identify driver genes which significantly associated with LNM. The roles of miR-548k in lymphangiogensis and lymphatic metastasis were validated both in vitro and in vivo. ESCC tissue and blood samples were analyzed for association between miR-548k expression and patient clinicopathological features and prognosis and diagnosis. Results In the pooled cohort of 314 ESCC patients, we found 76 significant focused regions including 43 amplifications and 33 deletions. Clinical implication analysis revealed a panel of genes associated with LNM with the most frequently amplified gene being MIR548K harbored in the 11q13.3 amplicon. Overexpression of miR-548k remarkably promotes lymphangiogenesis and lymphatic metastasis in vitro and in vivo. Furthermore, we demonstrated that miR-548k modulating the tumor microenvironment by promoting VEGFC secretion and stimulating lymphangiogenesis through ADAMTS1/VEGFC/VEGFR3 pathways, while promoting metastasis by regulating KLF10/EGFR axis. Importantly, we found that serum miR-548k and VEGFC of early stage ESCC patients were significantly higher than that in healthy donators, suggesting a promising application of miR-548k and VEGFC as biomarkers in early diagnosis of ESCC. Conclusions Our study comprehensively characterized SCNAs in ESCC and highlighted the crucial role of miR-548k in promoting lymphatic metastasis, which might be employed as a new diagnostic and prognostic marker for ESCC. Electronic supplementary material The online version of this article (10.1186/s12943-018-0871-4) contains supplementary material, which is available to authorized users.

Glioma is the most common type of primary brain tumors in the central nervous system (CNS). Migfilin occurs in human glioma and enhances cellular motility via the epidermal growth factor receptor (EGFR) pathway. However, the underlying molecular mechanism is not fully understood. In this study, we found that Migfilin promoted matrix metalloproteinase-2 (MMP-2) activity, and restrained the expression of tissue inhibitor of metalloproteinase 2 (TIMP2), which is an MMP-2 inhibitor. Functional and structural studies showed that the LIM1 domain of Migfilin was required for Migfilin-mediated TIMP2 expression inhibition and MMP-2 activity, and was also necessary in promoting cell motility. Furthermore, Migfilin-induced EGFR phosphorylation was greatly reduced by MMP-2 inhibitor (GM6001) or siRNA, while Migfilin-induced MMP-2 activation was also blocked by the EGFR inhibitor (AG1478) or siRNA. MMP-2 and EGFR inhibitors and their siRNAs can block Migfilin-induced migration and invasion, respectively. These results demonstrated that EGFR and MMP-2 signalings may form a positive feedback loop to enhance Migfilin-induced migration and invasion. Finally, we detected that the expression of Migfilin, EGFR phosphorylation (Tyr1173) and MMP-2 activity had a positive correlation in the clinical glioma sample. Taken together, these results suggest that Migfilin is a critical regulator in cellular motility by driving the EGFR-MMP-2 feedback loop, and may be considered as a potential therapeutic target in glioma.

// Yunwei Ou 1, 2, 3, 4, 7 , Zitong Zhao 2 , Weimin Zhang 2 , Qingnan Wu 2 , Chuanyue Wu 5, 6 , Xuefeng Liu 2 , Ming Fu 2 , Nan Ji 1 , Dan Wang 1 , Jiaji Qiu 1 , Liwei Zhang 1 , Chunjiang Yu 4 , Yongmei Song 2 , Qimin Zhan 2 1 Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China 2 State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China 3 Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, China 4 Department of Neurosurgery, Beijing Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China 5 Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15261, USA 6 Department of Biology and Shenzhen Key Laboratory of Cell Microenvironment, South University of Science and Technology of China, Shenzhen, 518055, China 7 China National Clinical Research Center for Neurological Diseases, Beijing 100050, China Correspondence to: Chunjiang Yu, email: cjyu1955@sina.com Yongmei Song, email: symlh2006@163.com Qimin Zhan, email: zhanqimin@pumc.edu.cn Keywords: EGFR, glioma, Kindlin-2, transcription Received: April 20, 2016 Accepted: August 11, 2016 Published: October 04, 2016 ABSTRACT Kindlin-2 promotes carcinogenesis through regulation of cell-cell and cell-extracellular matrix adhesion. However, the role of Kindlin-2 in glioma has not been elucidated. We investigated Kindlin-2 expression in 188 human glioma tissue samples. High Kindlin-2 expression was correlated with high pathological grade and a worse prognosis. Kindlin-2 promoted glioma cell motility and proliferation both in vitro and in vivo . Importantly, Kindlin-2 activated the EGFR pathway and increased EGFR mRNA levels. In addition to up-regulating Y-box binding protein-1 (YB-1) and β-catenin expression, Kindlin-2 formed a transcriptional complex with YB-1 and β-catenin that bound to the EGFR promoter and enhanced transcription. The β-catenin/YB-1/EGFR pathway was required for Kindlin-2-mediated functions. Our data provide a better understanding of the mechanisms underlying glioma progression, and suggest that Kindlin-2 may be a biomarker and therapeutic target in glioma.