Comparative Quantitative Proteomic Analysis of Melanoma Subtypes, Nevus-Associated Melanoma, and Corresponding Nevi.

A substantial part of cutaneous malignant melanomas develops from benign nevi. However, the precise molecular events driving the transformation from benign to malignant melanoma are not well-understood. We used laser microdissection and mass spectrometry to analyze the proteomes of melanoma subtypes, including superficial spreading melanomas (n = 17), nodular melanomas (n = 17), and acral melanomas (n = 15). Furthermore, we compared the proteomes of nevi cells with those of melanoma cells within the same specimens (nevus-associated melanoma (n = 14)). In total, we quantified 7935 proteins. Despite the genomic and clinical differences of the melanoma subtypes, our analysis revealed relatively similar proteomes, except for the upregulation of proteins involved in immune activation in nodular melanomas versus acral melanomas. Examining nevus-associated melanoma versus nevi, we found 1725 differentially expressed proteins (false discovery rate < 0.05). Among these proteins were 140 that overlapped with cancer hallmarks, tumor suppressors, and regulators of metabolism and cell cycle. Pathway analysis indicated aberrant activation of the phosphoinositide 3-kinase-protein kinase B-mTOR pathways and the Hippo-YAP pathway. Using a classifier, we identified six proteins capable of distinguishing melanoma from nevi samples. Our study represents a comprehensive comparative analysis of the proteome in melanoma subtypes and associated nevi, offering insights into the biological behavior of these distinct entities.

LAG3 and TIGIT Expression on Tumor-Infiltrating Lymphocytes in Cutaneous Melanoma.

BACKGROUND: Melanoma is widely recognized to be an immunogenic tumor that often contains tumor-infiltrating lymphocytes (TILs) in the tumor microenvironment. During cancer progression, expression of ligands that bind immune checkpoint (IC) proteins, such as PD-1, expressed on the surface of TILs, hinder them from exerting their antitumor functions. TILs consist of a heterogenous group of immune cells and their presence is associated with an improved overall survival in melanoma patients. Introduction of IC inhibitors has revolutionized management and prognosis of advanced melanoma. Unfortunately, the response rates have continued to be limited, resulting in growing interest in characterizing novel IC proteins, and developing combination therapy that includes inhibitors against multiple IC proteins. METHODS: In a regional cohort of 166 patients diagnosed with cutaneous superficial spreading melanoma with different degree of TILs, we investigated the tumor immune-associated gene expression profile using NanoString Technology. We used multiplex immunofluorescence (mIF) staining in a subset of tumors (N = 7), combining IC proteins T-cell immunoglobulin and ITIM domain (TIGIT) and LAG3 with a melanoma cell marker (SOX10) and immune cell markers (CD8 [cytotoxic T cells], CD4 [T helper cells], FOXP3 [regulatory T cells/Tregs], PAX5 [B cells], and CD56 [NK/NKT cells]) and IC protein PD-1. RESULTS: We found upregulation of 91 differentially expressed genes, including IC proteins, LAG3 and TIGIT in melanomas with brisk TILs compared to tumors where TILs were absent. mIF staining revealed LAG3 and TIGIT expression in the majority of CD8+ T cells. Only few Tregs and CD4+ T cells expressed LAG3, whereas majority of them expressed TIGIT. LAG3 and TIGIT were expressed in a small fraction of the NK/NKT cells and lacked in the B cells. The majority of PD-1+ cells co-localized with LAG3 and TIGIT. CONCLUSION: We report a variable expression of LAG3 and TIGIT on TILs subtypes and a coeval occurrence with PD-1. This knowledge places LAG3 and TIGIT in spatial and cellular context in melanoma. The data suggest that targeting multiple IC proteins might help overcome the current challenges with IC therapies.

BRAFV600E Expression Is Homogenous and Associated with Nonrecurrent Disease and Better Survival in Primary Melanoma.

BACKGROUND: Superficial spreading melanomas (SSMs) are the most common type of melanoma and cause the majority of skin cancer deaths. More than 50% of cases harbor a mutation in the BRAF gene that activates the mitogen-activated protein kinase (MAPK) cancer signaling pathway. BRAFV600E is the most common BRAF mutation, and it represents an important biomarker that guides treatment selection. However, the relationship between the BRAFV600E gene expression and intratumoral protein distribution, on one side, and clinicopathological factors and patient outcomes, on the other, is not fully described. Additionally, whether MAPK cancer signaling activation in melanoma is due to increased biochemical activity of BRAFV600E, increased mRNA levels, or both requires further investigation. Here, we addressed these questions by examining expression patterns of BRAFV600E in primary treatment-naive melanomas and correlating them to clinicopathological factors and patient outcomes. METHODS: In 166 SSM cases, we performed immunohistochemical staining to investigate the protein expression of BRAFV600E, and we measured BRAF mRNA levels using NanoString nCounter system. RESULTS: Ninety-seven (49%) melanomas stained positive for BRAFV600E, with nearly 100% intratumoral homogeneity observed. Positive BRAFV600E expression was significantly associated with nonrecurrent disease and was found to be an independent predictor of better prognosis in univariate and multivariable analyses. Furthermore, presence of tumor-infiltrating lymphocytes, sentinel lymph node biopsy negativity, and low Breslow thickness were all independent predictors of better prognosis. We observed no difference in the BRAF mRNA levels in BRAFV600E-negative and BRAFV600E-positive melanomas, respectively. Validation in a larger publicly available cohort confirmed that there is only a weak correlation (Spearman 0.4) between BRAFV600E mRNA and protein levels and no differences in mRNA between BRAFV600E mutated and non-mutated patients. CONCLUSION: Our findings indicated that BRAFV600E is homogeneously present throughout the whole tumor and is associated with nonrecurrent disease and better survival in primary melanoma. We also showed that BRAFV600E mutation does not result in higher transcriptional levels, suggesting that activation of the MAPK signaling pathway in BRAFV600E mutated patients can be attributed to the increased biochemical activity caused by the mutation.

Deep Visual Proteomics defines single-cell identity and heterogeneity.

Despite the availabilty of imaging-based and mass-spectrometry-based methods for spatial proteomics, a key challenge remains connecting images with single-cell-resolution protein abundance measurements. Here, we introduce Deep Visual Proteomics (DVP), which combines artificial-intelligence-driven image analysis of cellular phenotypes with automated single-cell or single-nucleus laser microdissection and ultra-high-sensitivity mass spectrometry. DVP links protein abundance to complex cellular or subcellular phenotypes while preserving spatial context. By individually excising nuclei from cell culture, we classified distinct cell states with proteomic profiles defined by known and uncharacterized proteins. In an archived primary melanoma tissue, DVP identified spatially resolved proteome changes as normal melanocytes transition to fully invasive melanoma, revealing pathways that change in a spatial manner as cancer progresses, such as mRNA splicing dysregulation in metastatic vertical growth that coincides with reduced interferon signaling and antigen presentation. The ability of DVP to retain precise spatial proteomic information in the tissue context has implications for the molecular profiling of clinical samples.