Prognostic Marker In Melanoma Research Articles

Tumoral C2 Regulates the Tumor Microenvironment by Increasing the Ratio of M1/M2 Macrophages and Tertiary Lymphoid Structures to Improve Prognosis in Melanoma.

Immunotherapy is an essential therapy for individuals with advanced melanoma. However, not all patients respond to such treatment due to individual differences. We conducted a multidimensional analysis using transcriptome data from our center, as well as publicly available databases. We found that effective nivolumab treatment led to an upregulation of C2 levels, and higher levels following treatment are indicative of a good outcome. Through bioinformatics analyses and immunofluorescence, we identified a correlation between C2 and M1 macrophages. To further investigate the role of C2 in melanoma, we constructed subcutaneous tumorigenic models in C57BL/6 mice. The tumors in the C2 overexpression group exhibited significantly smaller sizes. Flow cytometric analysis of the mouse tumors demonstrated enhanced recruitment of macrophages, particularly of the M1 subtype, in the overexpression group. Moreover, single-cell RNA sequencing analysis revealed that C2-positive tumor cells exhibited enhanced communication with immune cells. We co-cultured tumor cell supernatants with macrophages in vitro and observed the induction of M1 subtype polarization. In addition, we discovered a close correlation between C2 and tertiary lymphoid structures. C2 has been demonstrated to exert a protective effect, mediated by its ability to modulate the tumor microenvironment. C2 serves as a prognostic marker for melanoma and can be employed to monitor the efficacy of immunotherapy.

Long Noncoding RNA SAMMSON Promotes Melanoma Progression by Inhibiting FOXA2 Expression.

Long noncoding RNAs (lncRNAs) play crucial roles in melanoma initiation and development, serving as potential therapeutic targets and prognostic markers for melanoma. lncRNA survival-associated mitochondrial melanoma-specific oncogenic noncoding RNA (SAMMSON) is upregulated in many types of human cancers. However, the functions of SAMMSON in melanoma have not been fully elucidated. This study is aimed at investigating the expression and functions of SAMMSON in melanoma development. Bioinformatics analysis was performed to determine the expression of SAMMSON and its correlation with the 10-year overall survival (OS) in melanoma patients. Cell proliferation, migration, invasion, and tumorigenesis were detected by MTT, colony formation, Transwell assays, and mouse xenograft model. The expression of cell cycle-related factors, epithelial-to-mesenchymal transition (EMT) makers, and matrix metalloproteinases (MMPs) was assessed by RT-qPCR and western blotting analysis. The results demonstrated that SAMMSON expression was upregulated in melanoma tissues and cells, and lower SAMMSON expression was correlated with longer 10-year OS. SAMMSON knockdown decreased the proliferation, migration, and invasion of melanoma cells by regulating the expression of proliferation-related genes, EMT factors, and MMPs, respectively. Additionally, Forkhead box protein A2 (FOXA2) was confirmed to be a target of SAMMSON, and the biological effects induced by FOXA2 overexpression were similar to those induced by SAMMSON silencing in melanoma cells. Further studies showed that SAMMSON downregulated FOXA2 expression in melanoma cells by modulating the EZH2/H3K27me3 axis. Taken together, our data indicate that SAMMSON plays an important role in melanoma progression and can be a valuable biomarker and therapeutic target in melanoma.

Bioinformatic analysis identifies epidermal development genes that contribute to melanoma progression.

Several diagnostic and prognostic markers for melanoma have been identified in last few years. However, their actual contribution to melanoma progression have not been investigated in detail. This study was aimed to identify genes, biological processes, and signaling pathways implicated in melanoma progression by applying bioinformatics analysis. We identified nine differentially expressed genes (DEGs) (IL36RN, KRT6A, KRT6B, KRT16, S100A7, SPRR1A, SPRR1B, SPRR2B, and KLK7) that were upregulated in primary melanoma compared with metastatic melanoma in all five datasets analyzed. All these genes except IL36RN, both form a protein-protein interaction network and have cellular functions associated with constitutive processes of keratinocytes. Thus, they were generically termed Epidermal Development and Cornification (EDC) genes. The differential expression of these genes in primary and metastatic melanoma was confirmed in the TCGA-SKCM cohort. High expression of the EDC genes correlated with reduced tumor thickness in primary melanoma and shorter survival in metastatic melanoma. Analysis of DEGs from primary melanoma patients displaying high or low expression of all eight EDC revealed that the upregulated genes are enriched in biological process related to cell migration, extracellular matrix organization, invasion, and Epithelial-Mesenchymal Transition. Further analysis of enriched curated oncogenic genesets together with RPPA data of phosphorylated proteins revealed the activation of MEK, ATF2, and EGFR pathways in tumors displaying high expression of EDC genes. Thus, EDC genes may contribute to melanoma progression by promoting the activation of MEK, ATF2, and EGFR pathways together with biological processes associated with tumor aggressiveness.

Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms.

SummaryBackgroundThe prognostic value of tumor-infiltrating lymphocytes (TILs) assessed by machine learning algorithms in melanoma patients has been previously demonstrated but has not been widely adopted in the clinic. We evaluated the prognostic value of objective automated electronic TILs (eTILs) quantification to define a subset of melanoma patients with a low risk of relapse after surgical treatment.MethodsWe analyzed data for 785 patients from 5 independent cohorts from multiple institutions to validate our previous finding that automated TIL score is prognostic in clinically-localized primary melanoma patients. Using serial tissue sections of the Yale TMA-76 melanoma cohort, both immunofluorescence and Hematoxylin-and-Eosin (H&E) staining were performed to understand the molecular characteristics of each TIL phenotype and their associations with survival outcomes.FindingsFive previously-described TIL variables were each significantly associated with overall survival (p<0.0001). Assessing the receiver operating characteristic (ROC) curves by comparing the clinical impact of two models suggests that etTILs (electronic total TILs) (AUC: 0.793, specificity: 0.627, sensitivity: 0.938) outperformed eTILs (AUC: 0.77, specificity: 0.51, sensitivity: 0.938). We also found that the specific molecular subtype of cells representing TILs includes predominantly cells that are CD3+ and CD8+ or CD4+ T cells.InterpretationeTIL% and etTILs scores are robust prognostic markers in patients with primary melanoma and may identify a subgroup of stage II patients at high risk of recurrence who may benefit from adjuvant therapy. We also show the molecular correlates behind these scores. Our data support the need for prospective testing of this algorithm in a clinical trial.FundingThis work was also supported by a sponsored research agreements from Navigate Biopharma and NextCure and by grants from the NIH including the Yale SPORE in in Skin Cancer, P50 CA121974, the Yale SPORE in Lung Cancer, P50 CA196530, NYU SPORE in Skin Cancer P50CA225450 and the Yale Cancer Center Support Grant, P30CA016359.

NRF3 Decreases during Melanoma Carcinogenesis and Is an Independent Prognostic Marker in Melanoma.

The prognostic significance of the major redox regulator, nuclear factor erythroid-2-related factor 2 (NRF2), is recognized in many cancers, but the role of NRF3 is not studied. Analysis from the Gene Expression Omnibus datasets showed that NRF3 mRNA levels increased from benign to dysplastic naevi (p = 0.04). We characterized the immunohistochemical expression of NRF3 in 81 naevi, 67 primary skin melanomas, and 51 lymph node metastases. The immunohistochemical expression of cytoplasmic NRF3 decreased from benign to dysplastic naevi (p < 0.001) and further to primary melanomas (p < 0.001). High cytoplasmic NRF3 protein expression in pigment cells of the primary melanomas associated with worse melanoma-specific survival in multivariate analysis, specifically in the subgroup of patients with the lymph node metastases at the time of diagnosis (hazard ratio 3.179; 95% confidence interval 1.065-9.493; p = 0.038). Intriguingly, we did not observe associations between NRF3 and the traditional prognostic factors such as Breslow thickness, ulceration, or stage. Together, this data represents the primary description about the role of NRF3 in pigment tumours that is worthy of further explorations.

Regression in melanoma is significantly associated with a lower regional recurrence rate and better recurrence-free survival.

The prognostic significance of regression in predicting melanoma recurrences is unknown. We present a large multicenter study correlating regression with recurrence. The Sentinel Lymph Node Working Group database was queried from 1993 to 2018 for cases with regression data. Clinicopathologic factors were correlated with overall and first-site of recurrence and with recurrence-free survival (RFS). There were 4790 patients and the median follow-up was 39.6 months. Regression and recurrences were seen in 1081 (22.6%) and 773 (16.1%) cases, respectively. First-site locoregional and distant recurrences were seen in 412 (8.6%) and 352 (7.3%) patients, respectively. Regression was seen in 15.8% and 24.7% of all cases with and without recurrences (p < 0.0001), respectively, while regression was seen in 14.3% and 17.9% of first-site locoregional and distant recurrent cases, respectively, compared with 23.3% and 22.9% of patients with regression and without first-site locoregional and distant recurrences, respectively (p = 0.29). On multivariable analysis, after controlling for age, gender, thickness, ulceration, lymphovascular invasion, and sentinel lymph node status, regression significantly predicted improved RFS (p = 0.004) and fewer first-site regional recurrences (p = 0.017). Our data suggest that regression is a favorable prognostic marker in melanoma and predicts significantly better RFS and decreased first-site regional recurrences.

Proteomic profiles of melanoma cell-derived exosomes in plasma: discovery of potential biomarkers of melanoma progression.

Cancer liquid biopsy encompassing circulating tumor cells (CTC), circulating tumor DNA (ctDNA) and/or tumor-derived exosomes (TEX) emerges as a novel approach to early detection, noninvasive monitoring of responses to therapy and predicting patient survival. TEX are a key component of liquid biopsy because they mimic tumor cells in their proteomic and genetic content. Two recent proteomic analyses of TEX released into plasma by melanoma cells confirms the potential of TEX as diagnostic and prognostic markers in melanoma.

Circulating tumor DNA mutation as a prognostic marker in melanoma with brain metastasis.

e21560 Background: Prognosis in melanoma with brain metastasis is poor with a median survival of four months and a one-year survival rate of 10–20%. There is an unmet need for surveillance methods that can supplement imaging at regular intervals. Serial analysis of circulating tumor DNA (ctDNA) may aid surveillance and prognostication. A PCR-based, “specimen in/result out” testing device was employed to detect BRAF variants in plasma-derived ctDNA to evaluate the utility of rapid biomarker detection in the management of melanoma with brain metastasis. Methods: Serial blood samples from patients diagnosed with BRAF mutation-positive metastatic melanoma were collected at regular intervals. We employed a real-time PCR-based automated mutation detection system (Idylla; Biocartis, Belgium) to interrogate the plasma samples. The ctDNA mutation detection trend was analyzed relative to disease progression. Results: 39 patients with BRAF mutation positive melanoma were enrolled. 29 patients were treated in the metastatic setting, 10 in the adjuvant setting. 18 of the 29 patients with metastatic disease (62%) had brain metastases. Circulating BRAF mutation was detected in 17 of the 29 (59%) patients with metastatic disease, and was not detected in any patients treated adjuvantly. In the group with metastatic disease, this circulating biomarker changed from undetectable to detectable in eight (28%) and detectable to undetectable in three (10%). No change in circulating mutation status occurred in 18 (62%). In the eight patients who had an initial negative test that later became positive, seven (87%) had brain metastases. In three patients, ctDNA mutation detection occurred before the diagnosis of brain metastases on imaging, with a median lead time of five weeks (range, 3-12 weeks). In one patient with de novo metastatic disease admitted to the ICU, tissue was unavailable for BRAF testing but plasma was found to be positive for ctDNA BRAF detection. BRAF/MEK targeted therapy resulted in a sustained objective response. Five of six (83%) patients that had persistent ctDNA positivity had brain metastases. Among patients with brain metastases, median overall survival (mOS) of patients demonstrating &gt;50% test positivity was numerically longer than those with &lt;50% positivity (mOS 12.3 vs 53.5 months; p = 0.133). Conclusions: Plasma-based, rapid ctDNA testing may be useful as an aid in detecting progression and gauging prognosis in patients with melanoma treated in the metastatic setting. The dynamics of ctDNA test positivity may indicate a need for more urgent imaging, particularly of the brain. Blood-based, semi-automated ctDNA detection may serve as an attractive adjunct to scheduled imaging surveillance in melanoma.

Plasma thymidine kinase activity (TKa) as a novel prognostic biomarker in metastatic melanoma.

9556 Background: In the recent decade, new effective immunotherapies and targeted therapies have emerged for the treatment of disseminated melanoma. However, a considerable fraction of patients does not respond or get lasting effects and the treatments also have significant side effects. Biomarkers can contribute with more knowledge on prognosis and the efficacy of these therapies in different patients. In other cancer types, the plasma activity of the enzyme thymidine kinase (TKa), has been demonstrated as a marker of tumor stage and prognosis. The TK enzyme is part of a reaction chain to introduce thymidine into the DNA strand. TK thereby has a key function in DNA-synthesis, -repair and cell division. Dividing cells release TK during mitotic exit and TK can thus be detected in the blood. This study is the first to investigate plasma TKa as a potential biomarker in melanoma patients. Methods: Plasma samples were collected within five days prior to treatment start in patients with unresectable metastatic cutaneous melanoma, treated with immunotherapy (anti-CTLA-4 and/or anti-PD-1) or targeted therapy (BRAF±MEK inhibitors). Plasma TKa levels were determined using the DiviTum TKa ELISA assay (Biovica, Sweden). TKa levels were correlated with the patients’ baseline criteria, response rate (RR), progression free survival (PFS) and overall survival (OS). Results: Among the 124 study patients, the median TKa was 50 Du/L (range &lt; 20-3491 Du/L). Significantly higher plasma TKa levels were found in patients with ECOG performance status ≥1 vs. 0-1 ( P&lt; 0.001), M1c-d vs. M1a-b disease ( P&lt; 0.001), ≥3 vs. 1-2 affected organs ( P= 0.002) or elevated vs. non-elevated LDH ( P&lt; 0.001). In the patients treated with immunotherapy (n = 86) the RR was 63.2% vs. 37.9% in those with low ( &lt; 60 Du/L) vs. high TKa ( P= 0.024). The median PFS and OS was 19.9 and &gt; 60 months in those with low TKa vs. 12.6 and 18.5 months in those with high TKa (HR for PFS: 1.73 (95% CI, 1.01-2.97), P= 0.044 and HR for OS: 2.16 (95% CI, 1.17-3.98), P= 0.011). In the patients treated with BRAF±MEK inhibitor (n = 38) a similar trend was observed, with shorter PFS and OS in those with high TKa, but the differences were not statistically significant. Conclusions: In this first study on plasma TKa in melanoma patients, high pretreatment TKa was significantly associated with poor baseline factors and poor response and survival in immunotherapy treated patients. Currently, plasma LDH is the only non-clinical factor that is routinely used as a prognostic marker in melanoma. Several other candidate markers have been described, such as PD-L1 tumor immunohistochemistry, tumor mutational burden, gut microbiome and circulating tumor DNA. Compared to these assays, TKa measured with DiviTum is a simpler, ELISA based test for a single plasma marker. TKa is hence a novel and interesting marker in melanoma and should be further studied to define its role as a prognostic and predictive marker in this disease.

Prognostic Value of ctDNA Mutation in Melanoma: A Meta-Analysis.

Purpose Melanoma is the most aggressive form of skin cancer. Circulating tumor DNA (ctDNA) is a diagnostic and prognostic marker of melanoma. However, whether ctDNA mutations can independently predict survival remains controversial. This meta-analysis assessed the prognostic value of the presence or change in ctDNA mutations in melanoma patients. Methods We identified studies from the PubMed, EMBASE, Web of Science, and Cochrane databases. We estimated the combined hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS) using either fixed-effect or random-effect models based on heterogeneity. Results Sixteen studies including 1,781 patients were included. Both baseline and posttreatment detectable ctDNA were associated with poor OS (baseline detectable vs. undetectable, pooled HR = 1.97, 95% CI = 1.64–2.36, P < 0.00001; baseline undetectable vs. detectable, pooled HR = 0.19, 95% CI = 0.11–0.36, P < 0.00001; posttreatment detectable vs. undetectable, pooled HR = 2.36, 95% CI = 1.30–4.28, P=0.005). For PFS, baseline detectable ctDNA may be associated with adverse PFS (baseline detectable vs. undetectable, pooled HR = 1.41, 95% CI = 0.84–2.37, P=0.19; baseline undetectable vs. detectable, pooled HR = 0.43, 95% CI = 0.19–0.95, P=0.04) and baseline high ctDNA and increased ctDNA were significantly associated with adverse PFS (baseline high vs. low/undetectable, pooled HR = 3.29, 95% CI = 1.73–6.25, P=0.0003; increase vs. decrease, pooled HR = 4.48, 95% CI = 2.45–8.17, P < 0.00001). The baseline BRAFV600 ctDNA mutation-positive group was significantly associated with adverse OS compared with the baseline ctDNA-negative group (pooled HR = 1.90, 95% CI = 1.58–2.29, P < 0.00001). There were no significant differences in PFS between the baseline BRAFV600 ctDNA mutation-detectable group and the undetectable group (pooled HR = 1.02, 95% CI = 0.72–1.44, P=0.92). Conclusion The presence or elevation of ctDNA mutation or BRAFV600 ctDNA mutation was significantly associated with worse prognosis in melanoma patients.

Decreased Expression of CPEB3 Predicts a Poor Prognosis in Patients with Melanoma: A Study Based on TCGA Data.

Aim Cytoplasmic polyadenylation element-binding protein 3 (CPEB3) has been acknowledged as a tumor-suppressive gene in several cancers; however, there are few reports on the clinical significance of CPEB3 in melanoma. The aim of this study was to investigate the role of CPEB3 in predicting the prognosis of melanoma patients. Methods The association of CPEB3 expression and clinical pathologic features was performed using The Cancer Genome Atlas (TCGA) data set. The role of CPEB3 expression in prognosis was also analyzed. In addition, CPEB3 expression-related pathways were enriched by gene set enrichment analysis (GSEA). Association analysis of CPEB3 gene expression and immune infiltration was performed by ssGSEA. Results The mRNA was significantly less in melanoma than in normal tissues (p < 0.001). The decrease in CPEB3 expression in melanoma was significantly correlated with T staging (p < 0.001), clinical staging (p = 0.029), melanoma Clark level (p = 0.014), and melanoma ulceration (p = 0.003), while it was marginally significant in N staging (p = 0.089). Melanoma with low CPEB3 expression was associated with worse OS (overall survival), progression-free survival (PFS), and disease-specific survival (DSS) than in that with high expression. In the univariate analysis, expression of CPEB3, melanoma ulceration, Clark level of melanoma, age, clinical stage, T stage, and N stage were correlated with OS (p < 0.05). Further analysis by multivariate Cox regression showed that N stage (p = 0.029), melanoma ulceration (p = 0.004), and CPEB3 expression (p < 0.001) were independent prognostic factors of OS in melanoma. Moreover, GSEA showed that several pathways were enriched in CPEB3, such as PD1 signaling, CTLA4 pathway, CTCF pathway, CHEMOKIN signaling, VEGF signaling, and JAK-STAT pathway. CPEB3 was significantly correlated with the infiltration level of B cells (p < 0.001), T cells (p < 0.001), T helper cells (p < 0.001), and central memory T (Tcm) cells (p < 0.001). Conclusion CPEB3 may be a potential prognostic marker in melanoma with poor survival. Moreover, PD1 signaling, CTLA4 pathway, CTCF pathway, CHEMOKIN signaling, VEGF signaling, and JAK-STAT pathway may be the key pathway regulated by CPEB3. Moreover, the expression of CPEB3 in melanoma is related to the level of immune infiltration.

Identification of key genes and pathways for melanoma in the TRIM family.

Certain members of the TRIM family have been shown to have abnormal expression and prognostic value in cancer. However, in the development and progression of melanoma, the role of different TRIM family members remains unknown. To address this issue, this study used the Oncomine, UCSC, Human Protein Atlas, DAVID, and GEPIA databases to study the role of TRIMs in the prognosis of melanoma. Differential expression of TRIM2, TRIM7, TRIM8, TRIM18 (MID1), TRIM19 (PML), TRIM27, and TRIM29 may play an important role in the development of melanoma. The expression TRIM7 and TRIM29 appeared to be helpful in the identification of primary tumors and metastases. Survival analysis suggested that the expression of TRIM27 significantly affected the overall survival and disease‐free survival of melanoma, and its expression was confirmed by qRT‐PCR. Our results indicated that the expression level of TRIM27 might be a prognostic marker of melanoma.

Prognostic and Clinicopathological Value of PD-L1 in Melanoma: A Meta-Analysis

BackgroundThere is a growing interest in using programmed death ligand-1 (PD-L1) as a prognostic marker for melanoma. We conducted this meta-analysis to explore the prognostic and clinicopathological value of PD-L1 in melanoma. Materials and MethodsThe electronic databases PubMed, Web of Science and the Cochrane Library were searched for relevant studies. The major investigated parameters were PD-L1 expression levels in relation to patient gender, tumor-infiltrating lymphocytes (TILs), tumor stage, lymph node (LN) metastasis, histological type, progression-free survival (PFS) and overall survival (OS). Odds ratios (ORs) and hazard ratios (HRs) were computed using the fixed-effect or random-effects model according to data heterogeneity. ResultsPositive PD-L1 expression was significantly associated with high levels of TILs (OR = 7.56, 95% CI 2.04-28.02), metastatic melanoma (OR = 0.45, 95% CI 0.30-0.67) and LN-positive melanoma (OR = 2.56, 95% CI 1.31-4.99) but not gender or histological type. In addition, the pooled HRs showed no relation between PD-L1 expression and PFS (HR = 1.18, 95% CI 0.83-1.69) or OS (HR = 0.77, 95% CI 0.47-1.25). When restricted to metastatic melanoma, positive PD-L1 expression was significantly related to prolonged OS (HR = 0.57, 95% CI 0.46-0.70). ConclusionsPositive PD-L1 expression may be an important prognostic factor for longer OS in patients with metastatic melanoma.

Detection of mRNA of Telomerase Protein in Benign Naevi and Melanomas Using RNAscope.

Telomerase is reactivated in most cancers and is possibly an early driver event in melanoma. Our aim was to test a novel in situ hybridization technique, RNAscope, for the detection of human telomerase reverse transcriptase (hTERT) mRNA in archival formalin-fixed, paraffin-embedded (FFPE) tissue and to compare the mRNA expression of melanomas and benign naevi. Furthermore, we wanted to see if hTERT mRNA could be a diagnostic or prognostic marker of melanoma. In situ hybridization for the detection of hTERT mRNA was performed on FFPE tissue of 17 melanomas and 13 benign naevi. We found a significant difference in the expression of hTERT mRNA between melanomas and benign naevi (P<0.001) and the expression of hTERT mRNA correlated with Breslow thickness (ρ=0.56, P=0.0205) and the Ki67 proliferation index (ρ=0.72, P=0.001). This study showed that RNAscope was a reliable in situ hybridization method for the detection of hTERT mRNA in FFPE tissue of melanomas and benign naevi. hTERT mRNA was more abundantly expressed in melanomas compared with benign naevi, but cannot be used solely as a diagnostic marker due to an overlap in expression. The hTERT mRNA expression in melanomas correlated with the prognostic markers Breslow thickness and the Ki67 index indicating a prognostic potential of hTERT mRNA.

An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma

Assessment of tumor infiltrating lymphocytes (TILs) as a prognostic variable in melanoma has not seen broad adoption due to lack of standardization. Automation could represent a solution. Here, using open source software, we build an algorithm for image-based automated assessment of TILs on hematoxylin-eosin stained sections in melanoma. Using a retrospective collection of 641 melanoma patients comprising four independent cohorts; one training set (N = 227) and three validation cohorts (N = 137, N = 201, N = 76) from 2 institutions, we show that the automated TIL scoring algorithm separates patients into favorable and poor prognosis cohorts, where higher TILs scores were associated with favorable prognosis. In multivariable analyses, automated TIL scores show an independent association with disease-specific overall survival. Therefore, the open source, automated TIL scoring is an independent prognostic marker in melanoma. With further study, we believe that this algorithm could be useful to define a subset of patients that could potentially be spared immunotherapy.

Abstract 2412: Development of a gene signature to predict positive or negative sentinel nodes as a prognostic marker in melanoma

Abstract In recent years, sentinel lymph node (SLN) biopsy has been adopted as a less invasive technique to assess the prognostic outcome of melanoma, whereby draining the key lymph nodes for presence of a tumor decreases unnecessary lymph node dissections and reduces the risk of developing lymphedema. However, this technique only has therapeutic value in patients with SLN-positive tumor nodes, which only represents about half of the population diagnosed with melanoma. In a pilot study, we assessed the predictive efficacy of using a commercialized multi-biomarker next-generation sequencing (NGS) assay (Illumina® Comprehensive Cancer Panel) containing selected genes which have been shown to have a prognostic impact in melanoma progression, to determine whether these can identify primary tumors which do not require SLN biopsy. We used laser capture microdissection to capture pathologist-identified areas of tumor from four groups of samples 1) skin lesions from SLN-positive patients, 2) skin lesions from SLN-negative patients, 3) node samples from SLN-positive patients and node samples from SLN-negative patients; some cases of skin lesions and nodes were matched for the same patient. Sequencing identified 14 genes containing variants in &amp;gt;70% of the positive node samples, which were absent in samples with negative nodes. This included EGFR, PDGFR, ATM, PIK3CA, TP53 and ERBB4. Of note, variants in ERBB4 is of interest as it has been shown in the past to be a potential molecular target in the treatment of melanoma. We are currently validating these preliminary findings in a larger cohort of patients (n=31) and will report on the NGS findings of this study and the efficacy of using genetic biomarkers in skin biopsy samples as a potential prognostic marker for early stage melanoma patients who may not require SLN biopsy. Citation Format: Audrey J. Majeske, Timothy J. Geddes, Richard Keidan, George D. Wilson. Development of a gene signature to predict positive or negative sentinel nodes as a prognostic marker in melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2412.

Gene expression and promoter methylation of angiogenic and lymphangiogenic factors as prognostic markers in melanoma.

The high mortality rate of melanoma is broadly associated with its metastatic potential. Tumor cell dissemination is strictly dependent on vascularization; therefore, angiogenesis and lymphangiogenesis play an essential role in metastasis. Hence, a better understanding of the players of tumor vascularization and establishing them as new molecular biomarkers might help to overcome the poor prognosis of melanoma patients. Here, we further characterized a linear murine model of melanoma progression and showed that the aggressiveness of melanoma cells is closely associated with high expression of angiogenic factors, such as Vegfc, Angpt2, and Six1, and that blockade of the vascular endothelial growth factor pathway by the inhibitor axitinib abrogates their tumorigenic potential in vitro and in the in vivo chicken chorioallantoic membrane assay. Furthermore, analysis of The Cancer Genome Atlas data revealed that the expression of the angiogenic factor ANGPT2 (P‐value = 0.044) and the lymphangiogenic receptor VEGFR‐3 (P‐value = 0.002) were independent prognostic factors of overall survival in melanoma patients. Enhanced reduced representation bisulfite sequencing‐based methylome profiling revealed for the first time a link between abnormal VEGFC, ANGPT2, and SIX1 gene expression and promoter hypomethylation in melanoma cells. In patients, VEGFC (P‐value = 0.031), ANGPT2 (P‐value < 0.001), and SIX1 (P‐value = 0.009) promoter hypomethylation were independent prognostic factors of shorter overall survival. Hence, our data suggest that these angio‐ and lymphangiogenesis factors are potential biomarkers of melanoma prognosis. Moreover, these findings strongly support the applicability of our melanoma progression model to unravel new biomarkers for this aggressive human disease.

MiR-431 is a prognostic marker and suppresses cell growth, migration and invasion by targeting NOTCH2 in melanoma.

Aberrantly expressed microRNAs (miRNAs) are comprehensively involved in oncogenesis. A tumor-associated miRNA, miR-431, has been shown to play a functional effect in several tumors. However, the studies on the effects of miR-431 in melanoma were limited. The present study aimed to determine the levels of miR-431 in melanoma and to explore its clinical significance and potential function in melanoma carcinogenesis. Aberrant miRNAs in melanoma tissues were studied via miRNA microarray. MiR-431 expression in melanoma cell lines and carcinomas tissues were detected using RT-PCR. The clinical data were interpreted by the Chi-square test, Kaplan-Meier analysis, and multivariate analysis. The cell count kit (CCK-8) assay, flow cytometry wound healing, and transwell assays were used to assess the possible influence of miR-431 on tumor ability. The potential targets of miRNA-431 were predicted using an online tool and demonstrated by the use of dual luciferase assay and Western blot analysis. We observed that miR-431 expression was down-regulated in melanoma cells and tumor tissues, and reduced miR-431 levels were related to ulceration and tumor stage. The survival data revealed that melanoma patients with lower miR-431 suffered poorer overall survival. Multivariate analysis confirmed that miR-431 may be an independent prognostic marker for melanoma patients. Functional studies showed that miR-431 down-regulation inhibited melanoma growth and metastasis in vitro, while its overexpression has the opposite effects. Furthermore, we identified NOTCH2 as a direct target gene of miR-431 in melanoma cells. Besides, the restoration of NOTCH2 significantly reversed the inhibitory effects of miR-431 on melanoma cells growth and metastasis. Our observation suggested that miR-431 could be a new therapeutic target and prognostic marker of melanoma.

Stathmin is a potential therapeutic target but not a prognostic marker in melanoma: an immunohistochemical study of 323 melanocytic lesions.

In several solid tumors, an increased stathmin expression is associated with both poor prognosis and resistance to certain chemotherapy types. However, the data regarding melanocytic lesions are very limited. The goals of our study are as follows: the assessment of stathmin expression in benign and malignant melanocytic lesions, and the significance of its expression for the differential diagnostics between benign and malignant lesions; the analysis of the prognostic significance of stathmin expression in melanoma; and the evaluation of stathmin expression in melanoma and melanoma metastases with respect to possible therapeutic targeting. Immunohistochemical analysis of stathmin expression was done in 323 melanocytic lesions, including 205 primary cutaneous melanomas, 60 melanoma metastases, and 58 melanocytic nevi. Stathmin expression was found in all analyzed groups of melanocytic lesions. Using the H-scoring system, the observed intensity of expression was as follows: melanocytic nevi: 146.1 (mean) and 150 (median); melanomas: 116.7 (mean) and 110 (median); and melanoma metastases: 136.8 (mean) and 140 (median). The stathmin expression was significantly lower in the cohort of primary melanomas when compared with metastases and nevi (P=0.001). The stathmin expression showed no prognostic significance. The high stathmin expression in melanoma suggests that stathmin might be a promising marker for therapeutic targeting in ongoing clinical trials. Compared with several other solid tumors, stathmin expression in melanoma showed no prognostic significance. The potential use of stathmin expression in differential diagnostics is limited by its common expression, and despite the statistically significant differences between nevi and melanoma, it may not be used in this setting.

Inhibition of Stearoyl-CoA desaturase 1 reverts BRAF and MEK inhibition-induced selection of cancer stem cells in BRAF-mutated melanoma

BackgroundCombination therapy with BRAF and MEK inhibitors significantly improves survival in BRAF mutated melanoma patients but is unable to prevent disease recurrence due to the emergence of drug resistance. Cancer stem cells (CSCs) have been involved in these long-term treatment failures. We previously reported in lung cancer that CSCs maintenance is due to altered lipid metabolism and dependent upon Stearoyl-CoA-desaturase (SCD1)-mediated upregulation of YAP and TAZ. On this ground, we investigated the role of SCD1 in melanoma CSCs.MethodsSCD1 gene expression data of melanoma patients were downloaded from TCGA and correlated with disease progression by bioinformatics analysis and confirmed on patient’s tissues by qRT-PCR and IHC analyses. The effects of combination of BRAF/MEKi and the SCD1 inhibitor MF-438 were monitored by spheroid-forming and proliferation assays on a panel of BRAF-mutated melanoma cell lines grown in 3D and 2D conditions, respectively. SCD1, YAP/TAZ and stemness markers were evaluated in melanoma cells and tissues by qRT-PCR, WB and Immunofluorescence.ResultsWe first observed that SCD1 expression increases during melanoma progression. BRAF-mutated melanoma 3D cultures enriched for CSCs overexpressed SCD1 and were more resistant than 2D differentiated cultures to BRAF and MEK inhibitors. We next showed that exposure of BRAF-mutated melanoma cells to MAPK pathway inhibitors enhanced stemness features by upregulating the expression of YAP/TAZ and downstream genes but surprisingly not SCD1. However, SCD1 pharmacological inhibition was able to downregulate YAP/TAZ and to revert at the same time CSC enrichment and resistance to MAPK inhibitors.ConclusionsOur data underscore the role of SCD1 as prognostic marker in melanoma and promote the use of SCD1 inhibitors in combination with MAPK inhibitors for the control of drug resistance.