Clonal Architectures and Driver Mutations in Metastatic Melanomas
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ABSTRACT: This study contains sequence data from 15 patients with stage IV melanoma, including the whole genome sequence of 15 metastatic tumors and corresponding normal blood samples from 13 cases, and targeted capture sequence of four synchronous metastatic samples from two additional cases. These data provide a comprehensive survey of the clonal architecture and associated driver mutations in metastatic melanoma.
SECONDARY ACCESSION(S): PRJNA353044PRJNA353045
REPOSITORIES: dbGaP
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Project description:Malignant melanoma has currently the highest increase of incidence of malignancies in the western world. In early stages, front line therapy is surgical excision of the primary tumor. Metastatic disease has previously has very limited possibilities to be cured. Recently, several protein kinase inhibitors and immune modifiers have shown promising results but drug resistance in metastasized melanoma remains a major problem. The need for clinical biomarkers to follow disease progression and treatment effects is high. The aim of the present study was to build a protein sequence database in metastatic melanoma, searching for novel, relevant biomarkers. Ten lymph node metastases (South-Swedish Malignant Melanoma Biobank) were subjected to global protein expression analysis using two proteomics approaches (with/without orthogonal fractionation). Fractionation produced higher numbers of protein identifications (4284). Combining both methods, 5326 unique proteins were identified (2641 proteins overlapping). Deep mining proteomics may contribute to the discovery of novel biomarkers for metastatic melanoma, for example dividing the samples into two metastatic melanoma "genomic subtypes", ("pigmentation" and "high immune") revealed several proteins showing differential levels of expression. In conclusion, the present study provides an initial version of a metastatic melanoma protein sequence database producing a total of more than 5000 unique protein identifications. This dataset consists of data for four samples, analysed by applying strong cation exchange chromatography (SCX) step before the MS step. A sister dataset, consisting of ten samples (that included the current four), was analysed without the (SCX) step.
2015-04-17 | PXD001724 | Pride
Project description:Malignant melanoma has currently the highest increase of incidence of malignancies in the western world. In early stages, front line therapy is surgical excision of the primary tumor. Metastatic disease has previously has very limited possibilities to be cured. Recently, several protein kinase inhibitors and immune modifiers have shown promising results but drug resistance in metastasized melanoma remains a major problem. The need for clinical biomarkers to follow disease progression and treatment effects is high. The aim of the present study was to build a protein sequence database in metastatic melanoma, searching for novel, relevant biomarkers. Ten lymph node metastases (South-Swedish Malignant Melanoma Biobank) were subjected to global protein expression analysis using two proteomics approaches (with/without orthogonal fractionation). Fractionation produced higher numbers of protein identifications (4284). Combining both methods, 5326 unique proteins were identified (2641 proteins overlapping). Deep mining proteomics may contribute to the discovery of novel biomarkers for metastatic melanoma, for example dividing the samples into two metastatic melanoma "genomic subtypes", ("pigmentation" and "high immune") revealed several proteins showing differential levels of expression. In conclusion, the present study provides an initial version of a metastatic melanoma protein sequence database producing a total of more than 5000 unique protein identifications. This dataset consists of data for ten samples. A sister dataset, consisting of four samples (that are included in the current ten), was analysed , analysed by applying strong cation exchange chromatography (SCX) step before the MS step.
2015-04-17 | PXD001725 | Pride
Project description:Malignant melanoma has currently the highest increase of incidence of malignancies in the western world. In early stages, front line therapy is surgical excision of the primary tumor. Metastatic disease has previously has very limited possibilities to be cured. Recently, several protein kinase inhibitors and immune modifiers have shown promising results but drug resistance in metastasized melanoma remains a major problem. The need for clinical biomarkers to follow disease progression and treatment effects is high. The aim of the present study was to build a protein sequence database in metastatic melanoma, searching for novel, relevant biomarkers. Ten lymph node metastases (South-Swedish Malignant Melanoma Biobank) were subjected to global protein expression analysis using two proteomics approaches (with/without orthogonal fractionation). Fractionation produced higher numbers of protein identifications (4284). Combining both methods, 5326 unique proteins were identified (2641 proteins overlapping). Deep mining proteomics may contribute to the discovery of novel biomarkers for metastatic melanoma, for example dividing the samples into two metastatic melanoma "genomic subtypes", ("pigmentation" and "high immune") revealed several proteins showing differential levels of expression. In conclusion, the present study provides an initial version of a metastatic melanoma protein sequence database producing a total of more than 5000 unique protein identifications. This dataset consists of data for ten samples. A sister dataset, consisting of four samples (that are included in the current ten), was analysed , analysed by applying strong cation exchange chromatography (SCX) step before the MS step.
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Project description:Malignant melanoma has currently the highest increase of incidence of malignancies in the western world. In early stages, front line therapy is surgical excision of the primary tumor. Metastatic disease has previously has very limited possibilities to be cured. Recently, several protein kinase inhibitors and immune modifiers have shown promising results but drug resistance in metastasized melanoma remains a major problem. The need for clinical biomarkers to follow disease progression and treatment effects is high. The aim of the present study was to build a protein sequence database in metastatic melanoma, searching for novel, relevant biomarkers. Ten lymph node metastases (South-Swedish Malignant Melanoma Biobank) were subjected to global protein expression analysis using two proteomics approaches (with/without orthogonal fractionation). Fractionation produced higher numbers of protein identifications (4284). Combining both methods, 5326 unique proteins were identified (2641 proteins overlapping). Deep mining proteomics may contribute to the discovery of novel biomarkers for metastatic melanoma, for example dividing the samples into two metastatic melanoma "genomic subtypes", ("pigmentation" and "high immune") revealed several proteins showing differential levels of expression. In conclusion, the present study provides an initial version of a metastatic melanoma protein sequence database producing a total of more than 5000 unique protein identifications. This dataset consists of data for four samples, analysed by applying strong cation exchange chromatography (SCX) step before the MS step. A sister dataset, consisting of ten samples (that included the current four), was analysed without the (SCX) step.
2016-10-23 | MSV000080282 | MassIVE
Project description:Acquired BRAF/MEK inhibitor resistance in melanoma results in a new transcriptional state associated with increased risk of metastasis. Here, we identified non-canonical EphA2 signaling as a driver of the resistance-associated metastatic state. We used mass spectrometry-based proteomic and phenotypic assays to demonstrate that the expression of active non-canonical EphA2-S897E in melanoma cells led to a mesenchymal-to-amoeboid transition (MAT) driven by Cdc42 activation. The induction of MAT promoted melanoma cell invasion, survival under shear stress, adhesion to endothelial cells under continuous flow conditions, increased permeability of endothelial cell monolayers and stimulated melanoma transendothelial cell migration. In vivo, melanoma cells expressing EphA2-S897E or active Cdc42 showed superior lung retention following tail-vain injection. Analysis of BRAF inhibitor-sensitive and -resistant melanoma cells demonstrated resistance to be associated with an MAT switch, upregulation of Cdc42 activity, increased invasion, and transendothelial migration. The drug resistant metastatic state was dependent upon histone deacetylase 8 (HDAC8) activity. Silencing of HDAC8 lead to inhibition of EphA2 and AKT phosphorylation, reduced invasion and impaired melanoma cell-endothelial cell interactions. In summary, we have demonstrated that the metastatic state associated with acquired BRAF inhibitor resistance is dependent on non-canonical EphA2 signaling, leading to increased melanoma-endothelial cell interactions and enhanced tumor dissemination.
2020-11-18 | PXD020250 | Pride
Project description:Metastatic uveal melanoma generally responds poorly to immunotherapy. The aim here was to sequence tumor-infiltrating lymphocytes from uveal melanoma metastases to study their phenotypes and T-cell receptor (TCR) clonotypes. We performed paired single-cell transcriptome and TCR sequencing using the 10x Genomics platform of IL2-expanded tumor-infiltrating lymphocytes from 7 liver and 1 subcutaneous metastasis.
2020-03-16 | E-MTAB-8846 | biostudies-arrayexpress
Project description:Acquired BRAF/MEK inhibitor resistance in melanoma results in a new transcriptional state associated with increased risk of metastasis. Here, we identified non-canonical EphA2 signaling as a driver of the resistance-associated metastatic state. We used mass spectrometry-based proteomic and phenotypic assays to demonstrate that the expression of active non-canonical EphA2-S897E in melanoma cells led to a mesenchymal-to-amoeboid transition (MAT) driven by Cdc42 activation. The induction of MAT promoted melanoma cell invasion, survival under shear stress, adhesion to endothelial cells under continuous flow conditions, increased permeability of endothelial cell monolayers and stimulated melanoma transendothelial cell migration. In vivo, melanoma cells expressing EphA2-S897E or active Cdc42 showed superior lung retention following tail-vain injection. Analysis of BRAF inhibitor-sensitive and -resistant melanoma cells demonstrated resistance to be associated with an MAT switch, upregulation of Cdc42 activity, increased invasion, and transendothelial migration. The drug resistant metastatic state was dependent upon histone deacetylase 8 (HDAC8) activity. Silencing of HDAC8 lead to inhibition of EphA2 and AKT phosphorylation, reduced invasion and impaired melanoma cell-endothelial cell interactions. In summary, we have demonstrated that the metastatic state associated with acquired BRAF inhibitor resistance is dependent on non-canonical EphA2 signaling, leading to increased melanoma-endothelial cell interactions and enhanced tumor dissemination.
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Project description:Metastatic melanoma develops once transformed melanocytic cells begin to de-differentiate into migratory and invasive melanoma cells with neural crest cell (NCC)-like and epithelial-to mesenchymal transition (EMT)-like features. However, it is still unclear how transformed melanocytes assume a metastatic melanoma cell state. Here, we define DNA-methylation changes that accompany metastatic progression in melanoma patients and discover Nuclear Receptor Subfamily 2 Group F, Member 2 – isoform 2 (NR2F2-Iso2) as an epigenetically regulated metastasis driver. NR2F2-Iso2 is transcribed from an alternative transcriptional start site (TSS) and it is truncated at the N-terminal end which encodes the NR2F2 DNA-binding domain. We find that NR2F2-Iso2 expression is turned off by DNA methylation when NCCs differentiate into melanocytes. Conversely, this process is reversed during metastatic melanoma progression, when NR2F2-Iso2 becomes increasingly hypomethylated and re-expressed. Our functional and molecular studies suggest that NR2F2-Iso2 drives metastatic melanoma progression by modulating the activity of full-length NR2F2 (Isoform 1) over EMT- and NCC associated target genes. Our findings indicate that DNA-methylation changes play a crucial role during metastatic melanoma progression, and their control of NR2F2 activity allows transformed melanocytes to acquire NCC-like and EMT-like features. This epigenetically regulated transcriptional plasticity facilitates cell state transitions and metastatic spread.
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