Melanoma Gene Research Articles

Adeno‐associated virus vectors for gene therapy—focusing on melanoma

AbstractAdeno‐Associated Virus (AAV) vectors have been found to have great potential in the field of gene therapy due to their unique properties. These nonpathogenic vectors exhibit high tissue specificity, low immunogenicity, and sustained gene expression, enhancing their efficacy for targeted delivery. This review explores the application of AAV vectors in gene therapy. It introduces the application and development of AAV in hemophilia and Duchenne Muscular Dystrophy. The review also highlights the use of AAV vectors in melanoma gene therapy, focusing on four key areas: cancer growth intervention, targeting cancer cells, mediating immune responses, and modulating key signaling pathways. However, despite its many advantages, rAAV faces significant challenges, including host immune responses and biological barriers that limit its effectiveness. Such complexities need to be addressed; therefore, this review also discusses the application of several polymers, such as hydrogels, nanoparticles, and solid scaffolds, in the controlled delivery of AAV.

49986 Exploring the Role of ARID2 Deficiency in the Expression of Synaptic Genes in Melanoma

49986 Exploring the Role of ARID2 Deficiency in the Expression of Synaptic Genes in Melanoma

Transcriptome-Wide Association Study Reveals New Molecular Interactions Associated with Melanoma Pathogenesis.

A transcriptome-wide association study (TWAS) was conducted on genome-wide association study (GWAS) summary statistics of malignant melanoma of skin (UK Biobank dataset) and The Cancer Genome Atlas-Skin Cutaneous Melanoma (TCGA-SKCM) gene expression weights to identify melanoma susceptibility genes. The GWAS included 2465 cases and 449,799 controls, while the gene expression testing was conducted on 103 cases. Afterward, a gene enrichment analysis was applied to identify significant TWAS associations. The melanoma's gene-microRNA (miRNA) regulatory network was constructed from the TWAS genes and their corresponding miRNAs. At last, a disease enrichment analysis was conducted on the corresponding miRNAs. The TWAS detected 27 genes associated with melanoma with p-values less than 0.05 (the top three genes are LOC389458 (RBAK), C16orf73 (MEIOB), and EIF3CL). After the joint/conditional test, one gene (AMIGO1) was dropped, resulting in 26 significant genes. The Gene Ontology (GO) biological process associated the extended gene set (76 genes) with protein K11-linked ubiquitination and regulation of cell cycle phase transition. K11-linked ubiquitin chains regulate cell division. Interestingly, the extended gene set was related to different skin cancer subtypes. Moreover, the enriched pathways were nsp1 from SARS-CoV-2 that inhibit translation initiation in the host cell, cell cycle, translation factors, and DNA repair pathways full network. The gene-miRNA regulatory network identified 10 hotspot genes with the top three: TP53, BRCA1, and MDM2; and four hotspot miRNAs: mir-16, mir-15a, mir-125b, and mir-146a. Melanoma was among the top ten diseases associated with the corresponding (106) miRNAs. Our results shed light on melanoma pathogenesis and biologically significant molecular interactions.

Prognostic model development and clinical correlation of eight key genes in skin cutaneous melanoma

Cutaneous melanoma (SKCM) is a challenging and increasingly prevalent cancer with limited effective treatments. In our extensive study of 342 SKCM samples, we developed a prognostic model identifying eight key genes—CASPASE7CLEAVEDD198, FOXO3A, Melanoma gp100, CD171, 1433ZETA, SRC, P21, and CABL—linked to SKCM prognosis. Statistical analysis indicated significant differences in clinical outcomes between low and high-risk groups, corroborated by principal component analysis (PCA). Survival analysis and receiver operating characteristic (ROC) curve analysis confirmed the model's predictive accuracy for SKCM prognosis. Additionally, we observed notable correlations between the expression levels of genes related to prognosis and clinical characteristics. Our research offers crucial insights into SKCM prognosis, suggesting potential diagnostic markers and personalized treatment targets.

Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach.

Melanoma is a highly malignant skin tumor with poor prognosis. Circadian rhythm is closely related to melanoma pathogenesis. This study aimed to identify key circadian rhythm genes (CRGs) in melanoma and explore their potential as diagnostic and prognostic biomarkers. Microarray data of melanoma tissues and normal skins were obtained. Differentially expressed genes were identified and weighted gene co-expression network analysis (WGCNA) was performed to screen hub genes associated with melanoma. By overlapping hub genes with known CRGs, 125 melanoma-related CRGs were identified. Functional enrichment analysis revealed these CRGs were mainly involved in circadian rhythm and other cancer-related pathways. Three machine learning algorithms including LASSO regression, support vector machine-recursive feature elimination (SVM-RFE), and random forest were utilized to select key CRGs. Six CRGs (ABCC2, CA14, EGR3, FBXW7, LDHB, and PSEN2) were identified as key CRGs for melanoma diagnosis and prognosis. Diagnostic values of key CRGs were evaluated by ROC analysis in training and validation sets. Prognostic values of key CRGs were assessed by survival analysis and a multivariate Cox regression prognostic model was constructed. The prognostic model could effectively stratify melanoma patients into high- and low-risk groups with significantly different survival. A nomogram integrating clinical variables and risk score was built to predict 3-, 5- and 10-year overall survival of melanoma patients. In summary, six CRGs were identified as key genes associated with melanoma pathogenesis and may serve as promising diagnostic and prognostic biomarkers. The prognostic model and nomogram could facilitate personalized prognosis evaluation of melanoma patients.

Variant ranking pipeline for complex familial disorders

Identifying genetic susceptibility factors for complex disorders remains a challenging task. To analyze collections of small and large pedigrees where genetic heterogeneity is likely, but biological commonalities are plausible, we have developed a weights-based pipeline to prioritize variants and genes. The Weights-based vAriant Ranking in Pedigrees (WARP) pipeline prioritizes variants using 5 weights: disease incidence rate, number of cases in a family, genome fraction shared amongst cases in a family, allele frequency and variant deleteriousness. Weights, except for the population allele frequency weight, are normalized between 0 and 1. Weights are combined multiplicatively to produce family-specific-variant weights that are then averaged across all families in which the variant is observed to generate a multifamily weight. Sorting multifamily weights in descending order creates a ranked list of variants and genes for further investigation. WARP was validated using familial melanoma sequence data from the European Genome-phenome Archive. The pipeline identified variation in known germline melanoma genes POT1, MITF and BAP1 in 4 out of 13 families (31%). Analysis of the other 9 families identified several interesting genes, some of which might have a role in melanoma. WARP provides an approach to identify disease predisposing genes in studies with small and large pedigrees.

Prognosis and immune infiltration analysis of m6A RNA methylation regulators in cutaneous melanoma and differential analysis with cuproptosis related genes

Objective: N6-methyladenosine (m6A) modification and cuproptosis play essential roles in the pathogenesis of various malignant tumors. However, the predictive role of m6A regulators and cuproptosis-related genes in cutaneous melanoma (CM) remains unclear. In this study, the aim was not only to explore the role of m6A modification in CM, but also to investigate the differential expression of cuproptosis-related genes in different risk group. Methods: We obtained transcriptome data from the XENA and GTEx databases. Univariate Cox regression analysis was performed to investigate the relationship between m6A-related genes and the outcomes of CM. LASSO regression analysis was utilized to construct a risk model. Moreover, we analyzed immune cell infiltration using CIBERSORT algorithms. Finally, we evaluated the expression levels of cuproptosis-related genes in CM samples and performed RT-qPCR to validate the expression of cuproptosis-associated genes in melanoma cells after YTHDF3 knockdown. Results: All m6A-related genes differed in melanoma tissues and normal tissues and a prognostic signature was developed. Immune infiltration revealed that low-risk group patients had a higher level of CD8 + T cells, memory activated CD4 + T cells, activated NK cells and M1 Macrophages than high-risk group (P<0.05). Moreover, the cuproptosis-related genes MTF-1, PDHB and FDX1 were significantly negatively associated with risk score (P=0.0007, P=0.0057 and P=0.04, respectively). We also found that downregulation YTHDF3 in melanoma cells affected the expression of cuproptosis-related genes. (P<0.01 and P<0.05). Conclusion: Our study demonstrated the prognostic value of m6A-related genes and cuproptosis-related genes in CM, providing new predictive models and potential therapeutic targets for CM.

Bcl-2 dependent modulation of Hippo pathway in cancer cells

IntroductionBcl-2 and Bcl-xL are the most studied anti-apoptotic members of Bcl-2 family proteins. We previously characterized both of them, not only for their role in regulating apoptosis and resistance to therapy in cancer cells, but also for their non-canonical functions, mainly including promotion of cancer progression, metastatization, angiogenesis, and involvement in the crosstalk among cancer cells and components of the tumor microenvironment. Our goal was to identify transcriptional signature and novel cellular pathways specifically modulated by Bcl-2.MethodsWe performed RNAseq analysis of siRNA-mediated transient knockdown of Bcl-2 or Bcl-xL in human melanoma cells and gene ontology analysis to identify a specific Bcl-2 transcriptional signature. Expression of genes modulated by Bcl-2 and associated to Hippo pathway were validated in human melanoma, breast adenocarcinoma and non-small cell lung cancer cell lines by qRT-PCR. Western blotting analysis were performed to analyse protein expression of upstream regulators of YAP and in relation to different level of Bcl-2 protein. The effects of YAP silencing in Bcl-2 overexpressing cancer cells were evaluated in migration and cell viability assays in relation to different stiffness conditions. In vitro wound healing assays and co-cultures were used to evaluate cancer-specific Bcl-2 ability to activate fibroblasts.ResultsWe demonstrated the Bcl-2-dependent modulation of Hippo Pathway in cancer cell lines from different tumor types by acting on upstream YAP regulators. YAP inhibition abolished the ability of Bcl-2 to increase tumor cell migration and proliferation on high stiffness condition of culture, to stimulate in vitro fibroblasts migration and to induce fibroblasts activation.ConclusionsWe discovered that Bcl-2 regulates the Hippo pathway in different tumor types, promoting cell migration, adaptation to higher stiffness culture condition and fibroblast activation. Our data indicate that Bcl-2 inhibitors should be further investigated to counteract cancer-promoting mechanisms.

Deciphering the role of wound healing genes in skin cutaneous melanoma: Insights into expression, methylation, mutations, and therapeutic implications.

Skin Cutaneous Melanoma (SKCM) is a form of cancer that originates in the pigment-producing cells, known as melanocytes, of the skin. Delay wound healing is often correlated with the occurrence of and progression of SKCM. In this comprehensive study, we investigated the intricate roles of two important wound healing genes in SKCM, including Matrix Metalloproteinase-2 (MMP2) and Matrix Metalloproteinase-9 (MMP9). Through a multi-faceted approach, we collected clinical samples, conducted molecular experiments, including RT-qPCR, bisulphite sequencing, cell culture, cell Counting Kit-8, colony formation, and wound healing assays. Beside this, we also used various other databases/tools/approaches for additional analysis including, UALCAN, GEPIA, HPA, MEXPRESS, cBioPortal, KM plotter, DrugBank, and molecular docking. Our results revealed a significant up-regulation of MMP2 and MMP9 in SKCM tissues compared to normal counterparts. Moreover, promoter methylation analysis suggested an epigenetic regulatory mechanism. Validations using TCGA datasets and immunohistochemistry emphasized the clinical relevance of MMP2 and MMP9 dysregulation. Functional assays demonstrated their synergistic impact on proliferation and migration in SKCM cells. Furthermore, we identified potential therapeutic candidates, Estradiol and Calcitriol, through drug prediction and molecular docking analyses. These compounds exhibited binding affinities, suggesting their potential as MMP2/MMP9 inhibitors. Overall, our study elucidates the diagnostic, prognostic, and therapeutic implications of MMP2 and MMP9 in SKCM, shedding light on their complex interplay in SKCM occurrence and progression.

Abstract 1457: Decoding the molecular mechanisms related to mutations in the GNAQ/11 and BAP1 genes in ocular melanoma

Abstract Uveal melanoma (UM) is the most frequent intraocular cancer in adults and 50% of patients develop liver metastases for which no treatment is effective. According to The Cancer Genome Atlas, 92% of cases are characterized by early mutations in two genes coding for alpha subunits of G protein coupled receptors (GPCR): G protein subunit alpha q (GNAQ) or 11 (GNA11). These mutations are mostly found in the codon Q209 causing a constitutive activation of different signaling pathways linked to cellular proliferation such as MAPK and PKC. Furthermore, a bi-allelic inactivation of the BRCA1 associated protein-1 (BAP1) is found in 83% of metastatic UM and causes a loss of function of this protein. Our hypothesis is that the inactivation of compensatory pathways in the absence of these proteins and the understanding of pathways essential only to mutated cells will pave the way for the identification of better therapeutic candidates specific to UM cancer cells (UMCCs) to prevent metastatic progression and improve treatment options. The research objectives include the identification of compensatory signaling pathways in the absence of GNAQ/11 and BAP1 using classical CRISPR/Cas9, the discovery of essential molecular mechanisms for the survival of mutated UMCCs using Prime Editing, and the identification and characterization of novel therapeutic targets using 3D in vitro and in vivo models. First, the electroporation optimization using an eGFP plasmid demonstrated an efficiency of 40-50% for normal choroidal melanocytes (NCM) and 60-80% for UMCCs Mel285. Subsequent transfection with CRISPR complexes resulted in an average editing efficiency of approximately 20% for GNAQ/11 and 60% for BAP1. Currently, we have successfully established a GNAQ knockout (GNAQ-KO) Mel285 cell line. The characterization and validation of this cell line were performed through sequencing and Western blotting, confirming the creation of stop codons and the absence of GNAQ expression. We observed an overactivation of the ERK1/2 pathway and an upregulation of beta-catenin in the Mel285 GNAQ-KO line. Additionally, we noted a decrease in proliferation, adhesion, and migration on collagen I. For Prime editing, we constructed three plasmids with desired mutations. Preliminary tests in HEK293T cells showed an insertion efficiency of 4%, 20%, and 10% for GNAQ, GNA11, and BAP1, respectively, following a single treatment. Finally, in vitro testing has been started for inhibitors targeting compensatory pathways involving beta-catenin (WIKI4) and ERK1/2 (ASN007), in combination with the GNAQ/11 inhibitor (FR900359). These tests are being conducted on various mutant UMCCs for GNAQ/11.A better understanding of the altered pathways in our GNAQ/11 or BAP1 mutant isogenic cell lines will help to identify new drugs targeting specifically UM cells. Citation Format: Aurelie Fuentes-Rodriguez, Andrew Mitchell, Joël Rousseau, Jacques P. Tremblay, Solange Landreville. Decoding the molecular mechanisms related to mutations in the GNAQ/11 and BAP1 genes in ocular melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1457.

Abstract 6621: Development of a melanocyte lineage-specific knockout system in zebrafish

Abstract Zebrafish have emerged as an ideal model organism for investigating melanocyte and melanoma biology. While CRISPR-Cas9 technology has significantly advanced our understanding of gene functions in zebrafish, two challenges remain: 1) how do we knock out embryonic lethal genes in adult melanocytes? and 2) how do we knock out tumor promoting genes (rather than tumor suppressors)? To address this, we have developed a new transgenic line in which Cas9 is knocked into the melanocyte-specific endogenous mitfa locus. To test this system in normal melanocytes, Tg(mitfa:Cas9) embryos were injected with a plasmid containing albino sgRNA. Cells with integration of this plasmid exhibited almost complete loss of pigmentation, demonstrating the high efficiency of our approach. This system can now be rapidly used to knock out embryonic essential genes specifically in melanocytes and evaluate the phenotype of adult fish. In melanoma, the commonly available zebrafish lines overexpress the oncogene BRAFV600E in melanocytes with germline knockout of tp53. This is not comparable to the situation in humans, where global p53 loss is rare. By utilizing our mitfa:Cas9 system, we have generated tumors with melanoma-specific loss of tp53 or ptena/b, thereby eliminating non-specific tumors that originate from knockout of tumor suppressors in other cell types. Using this system, we are now testing whether knockout of tumor promoting genes delays melanoma onset and progression, something that has previously been difficult to efficiently achieve in zebrafish. In addition to specificity, an additional advantage of our system is that we can create nearly complete knockout of genes in the melanocytes by the F1, rather than the F2 generation. This saves several months of time and reduces the number of uninformative animals without the relevant genotype. Collectively, our system provides a highly efficient mechanism to study essential genes in melanocytes and melanoma in the zebrafish system. Citation Format: Sarah Perlee, Yilun Ma, Jacob Swanson, Zhitao Ming, Julia Xia, Timothée Lionnet, Maura McGrail, Richard White. Development of a melanocyte lineage-specific knockout system in zebrafish [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6621.

Tumor Immune Infiltration and Clinical Impact of Specific BCG-Related Genes in Melanoma.

Melanoma, caused by malignant melanocytes, is known for its invasiveness and poor prognosis. Therapies are often ineffective due to their heterogeneity and resistance. Bacillus Calmette-Guérin (BCG), primarily a tuberculosis vaccine, shows potential in treating melanoma by activating immune responses. In this study, data from The Cancer Genome Atlas and the NCBI GEO database were utilized to determine pivotal differentially expressed genes (DEGs) such as DSC2, CXCR1, BOK, and CSTB, which are significantly upregulated in BCG treated blood samples and are strongly associated with the prognosis of melanoma. We employ tools like edgeR and ggplot2 for functional and pathway analysis and develop a prognostic model using LASSO Cox regression analysis to predict patient survival. A notable finding is the correlation between BCG-related genes and immune cell infiltration in melanoma, highlighting the potential of these genes as both biomarkers and therapeutic targets. Additionally, the study examines genetic alterations in these genes and their impact on the disease. This study highlights the necessity of further exploring BCG-related genes for insights into melanoma pathogenesis and treatment enhancement, suggesting that BCG's role in immune activation could offer novel therapeutic avenues in cancer treatment.

Role of hippo pathway and cuproptosis-related genes in immune infiltration and prognosis of skin cutaneous melanoma.

Melanoma is the most lethal type of skin cancer with an increasing incidence. Cuproptosis is the most recently identified copper-dependent form of cell death that relies on mitochondrial respiration. The hippocampal (Hippo) pathway functions as a tumor suppressor by regulating Yes-associated protein/transcriptional coactivator with PDZ-binding motif (YAP/TAZ) activity. However, its role in cuproptosis remains unknown. In addition, the correlation of cuproptosis-related genes and Hippo pathway-related genes with tumor prognosis warrants further investigation. In the present study, we explored the correlation of cuproptosis-related genes and Hippo pathway-related genes with the prognosis of melanoma through analysis of data from a public database and experimental verification. We found eight Hippo pathway-related genes that were downregulated in melanoma and exhibited predictive value for prognosis. There was a significant positive correlation between cuproptosis-related genes and Hippo pathway-related genes in skin cutaneous melanoma. YAP1 expression was positively correlated with ferredoxin 1 (FDX1) expression in the GSE68599 dataset and A2058 cells. Moreover, YAP1 was positively and negatively correlated with M2 macrophages and regulatory T cell infiltration, respectively. In conclusion, the present study demonstrated the prognostic value of Hippo pathway-related genes (particularly YAP1) in melanoma, revealing the correlation between the expression of Hippo pathway-related genes and immune infiltration. Thus, the present findings may provide new clues on the prognostic assessment of patients with melanoma and a new target for the immunotherapy of this disease.

Abstract A005: Quantification of cancer effect sizes of somatic variants reveals stage-dependent evolution in primary and metastatic skin cutaneous melanoma

Abstract The identities of driver and passenger genes in skin cutaneous melanoma (SKCM) have been intensively studied. However, the relative enhancement of cancer cell lineage survival and proliferation by SKCM driver mutations, as well as how these cancer effects vary with cancer stage, remains limited. The cancer effect size (also known as the scaled selection coefficient) quantifies the relative cancer cell lineage survival and proliferation in the context of each driver mutation. Using a diverse set of 999 primary and 1149 metastatic SKCM samples from multiple datasets, including The Cancer Genome Atlas (TCGA) and the AACR Project GENIE, we computed the cancer effect size of all recurrent mutations in primary (Stage I–III) and metastatic (Stage IV) tumors. Our analysis revealed that both primary and metastatic tumors were alike in their trinucleotide mutation profiles. However, the underlying gene mutation rates typically increased from primary to metastatic tumors as the latter group typically features ineffective DNA repair machinery. Additionally, the two cohorts noticeably differed in both magnitudes of effect sizes and in which genes specific somatic variants were most highly selected. Effect sizes of several driver mutations, most notably BRAF V600E, were orders of magnitude higher in metastatic tumors than in primary tumors. Furthermore, certain variants, particularly NONO R184L, were highly selected along the trajectory from normal tissue to primary tumors, yet new mutations were no longer selected between primary tumor resection and the development of resectable metastases. Conversely, for several variants, including H3F3B R18L, TP53 R273L, and PIK3CA R115P, selection was very strong only along the trajectory from resectable primary tumors to metastases. These findings illustrate the shifting evolutionary trajectory of tumors across cancer stages, underscoring the importance of early detection of SKCM and informing the development of targeted therapeutics aimed at specific stages of tumorigenesis. Citation Format: Rishi M Shah, Moein Rajaei, Jeff Mandell, Jeffrey P Townsend. Quantification of cancer effect sizes of somatic variants reveals stage-dependent evolution in primary and metastatic skin cutaneous melanoma [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Translating Cancer Evolution and Data Science: The Next Frontier; 2023 Dec 3-6; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_2):Abstract nr A005.

The Use of Gene Expression Profiling and Biomarkers in Melanoma Diagnosis and Predicting Recurrence: Implications for Surveillance and Treatment

Cutaneous melanoma is becoming more prevalent in the United States and has the highest mortality among cutaneous malignancies. The majority of melanomas are diagnosed at an early stage and, as such, survival is generally favorable. However, there remains prognostic uncertainty among subsets of early- and intermediate-stage melanoma patients, some of whom go on to develop advanced disease while others remain disease-free. Melanoma gene expression profiling (GEP) has evolved with the notion to help bridge this gap and identify higher- or lower-risk patients to better tailor treatment and surveillance protocols. These tests seek to prognosticate melanomas independently of established AJCC 8 cancer staging and clinicopathologic features (sex, age, primary tumor location, thickness, ulceration, mitotic rate, lymphovascular invasion, microsatellites, and/or SLNB status). While there is a significant opportunity to improve the accuracy of melanoma prognostication and diagnosis, it is equally important to understand the current landscape of molecular profiling for melanoma treatment. Society guidelines currently do not recommend molecular testing outside of clinical trials for melanoma clinical decision making, citing insufficient high-quality evidence guiding indications for the testing and interpretation of results. The goal of this chapter is to review the available literature for GEP testing for melanoma diagnosis and prognostication and understand their place in current treatment paradigms.

Multi-omics and tumor immune microenvironment characterization of a prognostic model based on aging-related genes in melanoma.

Melanoma is a common and fatal cutaneous malignancy with strong invasiveness and high mortality rate. Clinically, elderly melanoma patients tend to exhibit stronger invasion ability and poorer prognosis. Given the heterogeneity of tumors, we analyzed the prognosis and risk assessment of melanoma through aging-related genes rather than age stratification. FOXM1 and CCL4 were identified to be closely associated with melanoma prognosis. Single-cell transcriptome analysis showed that FOXM1 was significantly up-regulated in tumor cells, while CCL4 was markedly elevated in immune cells. A melanoma prognostic model was constructed based on the two independent prognostic factors. This model showed a high accuracy in predicting the mortality of melanoma patients over several years. The patients in low-risk group appeared to have more immune cell infiltration and better immune therapy efficacy. Cellular experiments showed that CCL4 could promote apoptosis of melanoma cells through immune cells, and apoptosis could regulate the expression of FOXM1. In addition, the results of the spatial transcriptome and immunohistochemistry suggested that CCL4 was highly expressed in macrophages and the expression of FOXM1 in melanoma cell was negatively correlated with immune cell infiltration, especially macrophages. Here, we established a novel prognostic model for melanoma, which showed promising predictive performance and may serve as a biomarker for the efficacy of immune checkpoint inhibition therapy in melanoma patients. In addition, we explored the function of two genes in the model in melanoma.

Tumor Cell Lysate-Based Multifunctional Nanoparticles Facilitate Enhanced mRNA Delivery and Immune Stimulation for Melanoma Gene Therapy.

Messenger ribonucleic acid (mRNA)-based gene therapy has great potential for cancer gene therapy. However, the effectiveness of mRNA in cancer therapy needs to be further improved, and the delivery efficiency and instability of mRNA limit the application of mRNA-based products. Both the delivery efficiency can be elevated by cell-penetrating peptide modification, and the immune response can be enhanced by tumor cell lysate stimulation, representing an advantageous strategy to expand the effectiveness of mRNA gene therapy. Therefore, it is vital to exploit a vector that can deliver high-efficiency mRNA with codelivery of tumor cell lysate to induce specific immune responses. We previously reported that DMP cationic nanoparticles, formed by the self-assembly of DOTAP and mPEG-PCL, can deliver different types of nucleic acids. DMP has been successfully applied in gene therapy research for various tumor types. Here, we encapsulated tumor cell lysates with DMP nanoparticles and then modified them with a fused cell-penetrating peptide (TAT-iRGD) to form an MLSV system. The MLSV system was loaded with encoded Bim mRNA, forming the MLSV/Bim complex. The average size of the synthesized MLSV was 191.4 nm, with a potential of 47.8 mV. The MLSV/mRNA complex promotes mRNA absorption through caveolin-mediated endocytosis, with a transfection rate of up to 68.6% in B16 cells. The MLSV system could also induce the maturation and activation of dendritic cells, obviously promoting the expression of CD80, CD86, and MHC-II both in vitro and in vivo. By loading the encoding Bim mRNA, the MLSV/Bim complex can inhibit cell proliferation and tumor growth, with inhibition rates of up to 87.3% in vitro. Similarly, the MLSV/Bim complex can inhibit tumor growth in vivo, with inhibition rates of up to 78.7% in the B16 subcutaneous tumor model and 63.3% in the B16 pulmonary metastatic tumor model. Our results suggest that the MLSV system is an advanced candidate for mRNA-based immunogene therapy.

Active natural compounds perturb the melanoma risk-gene network.

Cutaneous melanoma is an aggressive type of skin cancer with a complex genetic landscape caused by the malignant transformation of melanocytes. This study aimed at providing an in silico network model based on the systematic profiling of the melanoma-associated genes considering germline mutations, somatic mutations, and genome-wide association study signals accounting for a total of 232 unique melanoma risk genes. A protein-protein interaction network was constructed using the melanoma risk genes as seeds and evaluated to describe the functional landscape in which the melanoma genes operate within the cellular milieu. Not only were the majority of the melanoma risk genes able to interact with each other at the protein level within the core of the network, but this showed significant enrichment for genes whose expression is altered in human melanoma specimens. Functional annotation showed the melanoma risk network to be significantly associated with processes related to DNA metabolism and telomeres, DNA damage and repair, cellular ageing, and response to radiation. We further explored whether the melanoma risk network could be used as an in silico tool to predict the efficacy of anti-melanoma phytochemicals, that are considered active molecules with potentially less systemic toxicity than classical cytotoxic drugs. A significant portion of the melanoma risk network showed differential expression when SK-MEL-28 human melanoma cells were exposed to the phytochemicals harmine and berberine chloride. This reinforced our hypothesis that the network modeling approach not only provides an alternative way to identify molecular pathways relevant to disease but it may also represent an alternative screening approach to prioritize potentially active compounds.

Identification of lactylation gene CALML5 and its correlated lncRNAs in cutaneous melanoma by machine learning.

As a product of glycolysis, lactate contributes to cancer proliferation, immunosuppression, and metastasis via histone lactylation. However, the relationship between cutaneous melanoma (CM) and lactylation-associated genes and lncRNAs has remained unclear. In this study, 4 mechanism learning algorithms and integrated bioinformatic analyses were employed to identify the core lactylation-associated genes and lncRNAs. Subsequently, 2 risk signatures based on the hub lactylation-associated genes and lncRNAs were constructed for CM patients. As a result, CALML5 was identified as a core lactylation-associated gene in CM, and its expression was found to be associated with patients survival and immune infiltration, suggesting its relevance as a potential therapeutic target. Additionally, this study provided clarification on hub CALML5-associated lncRNAs in CM, offering insights into their roles in the disease. Meanwhile, 2 identified risk signatures were both strongly linked to the prognosis and cancer growth of CM, underscoring their potential as valuable prognostic indicators. Furthermore, mechanistic analyses suggested a significant association between the risk signature and the immune microenvironment in CM, highlighting potential immune-related implications in disease progression. In conclusion, we propose that lactylation-associated genes and lncRNAs hold promise as potential targets in CM. Moreover, our findings revealed a significant correlation between lactylation and the immune microenvironment, providing crucial insights for guiding individualized treatment strategies in CM.

Single-cell sequencing analysis related to sphingolipid metabolism guides immunotherapy and prognosis of skin cutaneous melanoma.

We explore sphingolipid-related genes (SRGs) in skin melanoma (SKCM) to develop a prognostic indicator for patient outcomes. Dysregulated lipid metabolism is linked to aggressive behavior in various cancers, including SKCM. However, the exact role and mechanism of sphingolipid metabolism in melanoma remain partially understood. We integrated scRNA-seq data from melanoma patients sourced from the GEO database. Through the utilization of the Seurat R package, we successfully identified distinct gene clusters associated with patient survival in the scRNA-seq data. Key prognostic genes were identified through single-factor Cox analysis and used to develop a prognostic model using LASSO and stepwise regression algorithms. Additionally, we evaluated the predictive potential of these genes within the immune microenvironment and their relevance to immunotherapy. Finally, we validated the functional significance of the high-risk gene IRX3 through in vitro experiments. Analysis of scRNA-seq data identified distinct expression patterns of 4 specific genes (SRGs) in diverse cell subpopulations. Re-clustering cells based on increased SRG expression revealed 7 subgroups with significant prognostic implications. Using marker genes, lasso, and Cox regression, we selected 11 genes to construct a risk signature. This signature demonstrated a strong correlation with immune cell infiltration and stromal scores, highlighting its relevance in the tumor microenvironment. Functional studies involving IRX3 knockdown in A375 and WM-115 cells showed significant reductions in cell viability, proliferation, and invasiveness. SRG-based risk signature holds promise for precise melanoma prognosis. An in-depth exploration of SRG characteristics offers insights into immunotherapy response. Therapeutic targeting of the IRX3 gene may benefit melanoma patients.