Dataset Information

Proteomics of Primary Uveal Melanoma:Insights to Metastasis and Protein Biomarkers

ABSTRACT: Uveal melanoma metastases are lethal and remain incurable. Quantitative proteomic analysis of 53 metastasizing and 47 non-metastasizing primary uveal melanoma (pUM) was pursued for insights into UM metastasis and protein biomarkers. The metastatic status of the pUM specimens was defined based on clinical data, survival histories, prognostic analyses, and liver histopathology. LC MS/MS iTRAQ technology, the Mascot search engine and the UniProt human database were used to identify and quantify pUM proteins relative to normal choroid excised from UM donor eyes containing metastasizing (n=6) and non-metastasizing (n=7) pUM. The determined proteomes of all 100 tumors were very similar, encompassing a total of 3935 pUM proteins. Proteins differentially expressed (DE) (n=402) between metastasizing and non-metastasizing pUM were employed in bioinformatic analyses that predicted significant differences in the immune system between metastasizing and non-metastasizing pUM. Immune proteins (n=778) identified in this study support the immune-suppressive nature and low abundance of immune checkpoint regulators in pUM and suggest CDH1 and HLA-DPA1 as candidates for immune therapy checkpoint blockade. Prediction modeling identified 32 proteins capable of predicting with 93% discriminatory accuracy metastasizing versus non-metastasizing pUM, supporting the potential of protein-based prognostic methods for detecting UM metastasis

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: John W Crabb

PROVIDER: MSV000087437 | MassIVE | Sat May 15 13:35:00 BST 2021

SECONDARY ACCESSION(S): PXD026027

REPOSITORIES: MassIVE

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Publications

Proteomics of Primary Uveal Melanoma: Insights into Metastasis and Protein Biomarkers.

Jang Geeng-Fu GF Crabb Jack S JS Hu Bo B Willard Belinda B Kalirai Helen H Singh Arun D AD Coupland Sarah E SE Crabb John W JW

Cancers 20210714 14

Uveal melanoma metastases are lethal and remain incurable. A quantitative proteomic analysis of 53 metastasizing and 47 non-metastasizing primary uveal melanoma (pUM) was pursued for insights into UM metastasis and protein biomarkers. The metastatic status of the pUM specimens was defined based on clinical data, survival histories, prognostic analyses, and liver histopathology. LC MS/MS iTRAQ technology, the Mascot search engine, and the UniProt human database were used to identify and quantify ...[more]

PMID: 34298739

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Project description:Despite advances in therapeutics, the progression of melanoma to metastasis still confers a poor outcome to patients. Nevertheless, there is a lack of biological models to understand cellular and molecular changes taking place along disease progression. Here, we analyzed the transcriptome of a multi-stage murine model of melanoma progression comprising a non-tumorigenic melanocyte lineage (melan-a), pre-malignant melanocytes (4C), non-metastatic (4C11-) and metastasis-prone (4C11+) melanoma cells. Clustering analyses have grouped the four cell lines according to their differentiated (melan-a and 4C11+) or undifferentiated/“mesenchymal-like” (4C and 4C11-) morphologies, suggesting dynamic gene expression patterns associated with the transition between these phenotypes. The cell plasticity observed in the murine melanoma progression is corroborated by molecular markers described for cell subtypes during human melanoma differentiation, as the differentiated cell lines in our model exhibit upregulation of transitory and melanocytic markers, whereas mesenchymal-like cells show increased expression of markers from undifferentiated and neural crest-like states. Sets of differentially expressed genes (DEGs) were detected at each transition step of tumor progression, and transcriptional signatures related to malignancy, metastasis and epithelial-to-mesenchymal transition were identified. Finally, DEGs were mapped to their human orthologs and subsequently evaluated in uni- and multivariate survival analysis using gene expression and clinical data of 703 drug-naïve primary melanoma patients, revealing several independent candidate prognostic markers. Altogether, these results provide novel insights into the molecular mechanisms underlying the phenotypic switch taking place during melanoma progression, reveal potential drug targets and prognostic biomarkers, and corroborate the translational relevance of this unique sequential model of melanoma progression.

Dataset Information

Proteomics of Primary Uveal Melanoma:Insights to Metastasis and Protein Biomarkers

Publications

Proteomics of Primary Uveal Melanoma: Insights into Metastasis and Protein Biomarkers.

Similar Datasets

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