Project description:To obtain the global landscape of Khib in ESCC metastasis, 20 cases of primary ESCC tumor tissue (T), matched normal tissue (N) and lymph node metastatic tissue (LN) were subjected to systematic proteomic.
Project description:To obtain the global landscape of Khib in ESCC metastasis, 20 cases of primary ESCC tumor tissue (T), matched normal tissue (N) and lymph node metastatic tissue (LN) were subjected to quantitative Khib proteomic analyses.
Project description:Phosphoproteome analysis of clinical tissue samples is important in the precision medicine research. Therefore, we used LC-MS/MS to systematically analyze the differential phosphorylation levels of 20 ESCC tumor tissues, paired normal tissue and lymph node metastatic tissue.
Project description:Transcriptomic analysis of clinical tissue samples is important in the precision medicine research. Therefore, we used RNA sequencing to systematically analyze the differentially expressed genes of 17 ESCC tumor tissues and paired normal tissue and lymph node metastatic tissue.
Project description:Profiling of genetically matched normal adjacent tissue, primary tumor and metastatic lymph-node to identify cancer and metastasis genes.
Project description:Secreted extracellular vesicles are known to influence the tumor microenvironment and promote metastasis. In this work, we have analyzed the involvement of extracellular vesicles in the establishment of lymph node pre-metastatic niches by melanoma cells. We found that small extracellular vesicles (sEVs) derived from highly metastatic melanoma cell lines spread broadly through the lymphatic system and were taken up by lymphatic endothelial cells, reinforcing lymph node metastasis. Melanoma-derived sEVs induce lymphangiogenesis, a hallmark of pre-metastatic niche formation, in vitro and in lymphoreporter mice in vivo. We found that neural growth factor receptor (NGFR) is secreted in melanoma-derived small extracellular vesicles and shuttled to lymphatic endothelial cells, inducing lymphangiogenesis and tumor cell adhesion through the activation of ERK and NF-B pathways and ICAM1 expression. Importantly, ablation or inhibition of NGFR in sEVs reversed the lymphangiogenic phenotype, decreased melanoma lymph node metastasis and extended the survival. Importantly, analysis of NGFR expression in lymph node metastases and matched primary tumors shows that levels of MITF+NGFR+ lymph node metastatic cells are correlated with disease outcome. Our data support the idea that NGFR secreted in sEVs favors lymph node pre-metastatic niche formation and lymph node metastasis in melanoma
Project description:Secreted extracellular vesicles are known to influence the tumor microenvironment and promote metastasis. In this work, we have analyzed the involvement of extracellular vesicles in establishing the lymph node pre-metastatic niche by melanoma cells. We found that small extracellular vesicles (sEVs) derived from highly metastatic melanoma cell lines spread broadly through the lymphatic system and are taken up by lymphatic endothelial cells reinforcing lymph node metastasis. Melanoma-derived sEVs induce lymphangiogenesis, a hallmark of pre-metastatic niche formation, in vitro and in lymphoreporter mice in vivo. Analysis of involved factors demonstrated that the neural growth factor receptor (NGFR) is secreted in melanoma-derived small extracellular vesicles and shuttled to lymphatic endothelial cells inducing lymphangiogenesis and tumor cell adhesion through the activation of ERK and NF-B pathways and ICAM1 expression. Importantly, ablation or inhibition of NGFR in sEVs reversed the lymphangiogenic phenotype, decreased melanoma lymph node metastasis and extended mice survival. Importantly, analysis of NGFR expression in lymph node metastases and matched primary tumors shows that levels of MITF+NGFR+ lymph node metastatic cells are correlated with disease outcome. Our data support that NGFR is secreted in sEVs favoring lymph node pre-metastatic niche formation and lymph node metastasis in melanoma.
Project description:The project analyzed 88 breast cancer clinical samples, including lymph node negative and positive primary tumors, lymph node metastases, and healthy tissue as control. All samples were combined with a super-SILAC mix that served as an internal standard for quantification.
