Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.

Background: Immunotherapy has revolutionized skin cutaneous melanoma treatment, but response variability due to tumor heterogeneity necessitates robust biomarkers for predicting immunotherapy response. Methods: We used weighted gene co-expression network analysis (WGCNA), consensus clustering, and 10 machine learning algorithms to develop the immunotherapy-related gene model (ITRGM) signature. Multi-omics analyses included bulk and single-cell RNA sequencing of melanoma patients, mouse bulk RNA sequencing, and pathology sections of melanoma patients. Results: We identified 66 consensus immunotherapy prognostic genes (CITPGs) using WGCNA and differentially expressed genes (DEGs) from two melanoma cohorts. The CITPG-high group showed better prognosis and enriched immune activities. DEGs between CITPG-high and CITPG-low groups in the TCGA-SKCM cohort were analyzed in three additional melanoma cohorts using univariate Cox regression, resulting in 44 consensus genes. Using 101 machine learning algorithm combinations, we constructed the ITRGM signature based on seven model genes. The ITRGM outperformed 37 published signatures in predicting immunotherapy prognosis across the training cohort, three testing cohorts, and a meta-cohort. It effectively stratified patients into high-risk or low-risk groups for immunotherapy response. The low-risk group, with high levels of model genes, correlated with increased immune characteristics such as tumor mutation burden and immune cell infiltration, indicating immune-hot tumors with a better prognosis. The ITRGM's relationship with the tumor immune microenvironment was further validated in our experiments using pathology sections with GBP5, an important model gene, and CD8 IHC analysis. The ITRGM also predicted better immunotherapy response in eight cohorts, including urothelial carcinoma and stomach adenocarcinoma, indicating broad applicability. Conclusions: The ITRGM signature is a stable and robust predictor for stratifying melanoma patients into 'immune-hot' and 'immune-cold' tumors, enhancing prognosis and response to immunotherapy.

Identification of SLC22A17 DNA methylation hotspot as a potential biomarker in cutaneous melanoma.

BACKGROUND: Cancer onset and progression are driven by genetic and epigenetic alterations leading to oncogene activation and the silencing of tumor suppressor genes. Among epigenetic mechanisms, DNA methylation (methDNA) is gaining growing interest in cancer. Promoter hypomethylation is associated with oncogene activation while intragenic methDNA can be involved in transcriptional elongation, alternative spicing, and the activation of cryptic start sites. Several genes involved in the modulation of the tumor microenvironment are regulated by methDNA, including the Solute Carrier Family 22 Member 17 (SLC22A17), which is involved in iron trafficking and extracellular matrix remodeling cooperating with the Gelatinase-Associated Lipocalin (NGAL) ligand. However, the exact role of intragenic methDNA in cancer has not been fully investigated. Therefore, the aim of the present study is to explore the role of methDNA in the regulation of SLC22A17 in cutaneous melanoma (CM), used as a tumor model. METHODS: Correlation and differential analyses between SLC22A17 expression and methDNA were performed using the data contained in The Cancer Genome Atlas and Gene Expression Omnibus databases. Functional studies on melanoma cell lines treated with 5-Azacytidine (5-Aza) were conducted to assess the correlation between methDNA and SLC22A17 expression. A validation study on the diagnostic potential of the in silico-identified SLC22A17 methDNA hotspot was finally performed by analyzing tissue samples obtained from CM patients and healthy controls. RESULTS: The computational analyses revealed that SLC22A17 was significantly downregulated in CM, and its expression was related to promoter hypomethylation and intragenic hypermethylation. Moreover, SLC22A17 overexpression and hypermethylation of two intragenic methDNA hotspots were associated with a better clinical outcome in CM patients. The correlation between SLC22A17 methDNA and expression was confirmed in 5-Aza-treated cells. In agreement with in silico analyses, the SLC22A17 promoter methylation hotspot showed higher methDNA levels in CM samples compared to nevi. In addition, the methDNA levels of this hotspot were positively correlated with advanced CM. CONCLUSIONS: The SLC22A17 methDNA hotspot could represent a promising biomarker for CM, highlighting the regulatory role of methDNA on SLC22A17 expression. These results pave the way for the identification of novel epigenetic biomarkers and therapeutic targets for the management of CM patients.

Comprehensive Literature Review on Melanoma of Unknown Primary Site Triggered by an Intriguing Case Report.

Melanoma is one of the most aggressive forms of skin cancer. While most melanomas have a discernible primary site, a small subset, approximately 3.2%, present as a metastatic disease without an identifiable primary origin, a condition known as melanoma of unknown primary (MUP). Unusual cases of primary melanoma have also been previously reported in the respiratory, gastrointestinal, and urogenital tracts. MUP typically is found in lymph nodes, subcutaneous sites, and visceral organs, with hypotheses about its origin including spontaneous primary tumor regression and ectopic melanocytes. MUP presents unique challenges in diagnosis and treatment due to the absence of a detectable primary tumor. Understanding its genetic and molecular features, epidemiology, prognostic factors, and treatment options is crucial for optimizing patient care and outcomes in this subset of melanoma patients. We conducted an extensive literature review triggered by a case report of a patient with suspected MUP. A 51-year-old woman was transferred from another hospital where an incision was performed for a suspected superinfected hematoma of the left thigh. Since the patient showed high leukocytosis and redness and swelling of the thigh, local debridement, drainage, and excisional biopsy of the tumor mass were performed in our unit in the emergency setting, and the tumor was taken for histopathology evaluation. Intraoperatively, the mass appeared nonspecific. The permanent histopathology report established a diagnosis of melanoma, with tumor proliferation also involving lymphoid tissue, and despite broad clinical and imagistic assessments, the primary melanoma could not be identified. Clinicians must be aware of the varied clinical manifestations of malignant melanoma, especially in cases of occult melanoma where the primary site is not evident.

Bmal1 upregulates ATG5 expression to promote autophagy in skin cutaneous melanoma.

BACKGROUND: Skin cutaneous melanoma (SKCM) is a highly aggressive and malignant tumor that arises from the malignant transformation of melanocytes. In light of the limitations of existing treatment modalities, there is a pressing need to identify new drug targets for SKCM. Aryl-hydrocarbon receptor nuclear translocator-like (ARNTL), also known as Bmal1, is a gene that has been linked to the onset and progression of cancer. However, its role in SKCM remains understudied. METHODS: The expression of Bmal1 mRNA and protein was detected using TCGA, GTEx, CCLE, and ULCAN databases. Moreover, survival analysis was performed to investigate the association between Bmal1 and immune invasion and gene expression in immune infiltrating cells via CIBERSORT, R programming, TIMER, Sangerbox, Kaplan-Meier. The study also explored the role of proteins associated with Bmal1 by using R programming and databases (STRING and GSEA). Both in vitro and in vivo studies were conducted to examine the potential role of Bmal1 in SKCM. RESULTS: Compared to normal tissues, the expression level of Bmal1 was significantly reduced in SKCM. Which has been associated with its poor prognosis. Similarly, its expression in SKCM was substantially correlated with immune infiltration, while biogenic analysis indicated that it could potentially influence the tumor immune microenvironment (TME) by influencing tumor-associated neutrophils (TANs). Moreover, Bmal1 overexpression suppressed the proliferation and invasion of melanoma cells and enhanced apoptosis, migration, and cell colony formation. CONCLUSION: This study concluded that Bmal1 is a novel biomarker that functions as both a diagnostic and prognostic indicator for the progression of SKCM.

Analysis of Calculated Liver Scores for Long-Term Outcome in 423 Cutaneous Melanoma Patients.

Background: Neoadjuvant and adjuvant therapies are currently getting increasingly important in cutaneous melanoma (CM) management. However, there is still a lack of prognostic tools to identify which patients have a poor prognosis. There is increasing evidence that the liver score may be a potential prognostic parameter in different tumour types. The aim was to investigate whether established liver scores can establish the prognosis of CM. Methods: According to established methods, the APRI, the MELD score, the MELD-Na score and the De Ritis ratio were calculated from the laboratory values at the time of the initial diagnosis. Survival was compared with the Kaplan-Meier curve and tested with log-rank tests. Risk factors associated with cutaneous melanoma-specific survival (CMSS) and progression-free survival (PFS) were assessed by using the Cox proportional hazards regression model. To determine the diagnostic accuracy, we performed a time-dependent ROC analysis. Results: A total of 423 patients were included, including 141 patients in AJCC stage (2017) I (33.3%), 82 in stage II (19.4%), 128 in stage III (30.3%) and 72 in stage IV (17%). Median time until melanoma-specific death was 99 months (IQR: 37-126). In addition, 37.6% of patients relapsed with a median time to relapse of 88 months (IQR: 17.5-126). In all stages, tumour thickness and ulceration were independent markers for predicting CMSS and PFS (p < 0.05). The multivariable analysis with all stages showed no significant association with CM outcome for liver scores (p > 0.05). The subgroup analysis revealed that the APRI (≥0.2241) was associated with CMSS and PFS in melanoma stages I and II, independently of tumour thickness, age and ulceration (HR 2.57, 95% CI 1.14-5.75; HR 2.94, 95% CI 1.42-6.09, respectively). Conclusions: The 20-year prognosis of AJCC stage I and II CM was dependent on tumour thickness and the APRI. High tumour thickness and an APRI ≥ 0.2241 at the initial diagnosis were associated with a worse prognosis. Future studies should investigate the independent prognostic value of the APRI in low-stage CM. Furthermore, the APRI score could be a potential biomarker for nomograms.

ELK4 targets CHMP6 to inhibit ferroptosis and enhance malignant properties of skin cutaneous melanoma cells.

Ferroptosis, a key factor in tumor progression, is poorly understood at the molecular level. This study investigates how ELK4 and CHMP6 regulate skin cutaneous melanoma (SKCM) cell proliferation and ferroptosis. Analysis of TCGA data reveals high expression of ELK4 and CHMP6 in SKCM. Overexpression of ELK4 or CHMP6 enhances cell proliferation, invasion, and migration while reducing ROS and Fe2 + levels. It also increases GPX4 and xCT expression and decreases ACSL4 levels in SKCM cells. The opposite effects are observed with ELK4 or CHMP6 knockdown. ELK4 binds to the CHMP6 promoter, promoting CHMP6 transcription. Knockdown of CHMP6 reverses the oncogenic effects of ELK4 overexpression. In conclusion, ELK4 enhances proliferation, invasion, and migration while inhibiting ferroptosis in SKCM cells by upregulating CHMP6 transcription. This study sheds light on the intricate mechanisms involved in SKCM progression and identifies potential therapeutic targets in melanoma treatment.

A Mendelian randomization study of genetic liability to cutaneous melanoma and sunburns.

Background: Some studies have reported that sunburns and cutaneous melanoma (CM) risk is increasing, but a clear causal link has yet to be established. Methods: This current study conducted a two-sample Mendelian randomization (MR) approach to clarify the association and causality between sunburn history and CM using large-scale genome-wide association study data. Results: The inverse-variance weighted method result showed that sunburn might be associated with the risk of CM increasing (p = 2.21 × 10-23, OR = 1.034, 95% CI= 1.027-1.041), causally. The MR-Egger regression, weighted median method, simple mode method, and weighted mode method results showed similar results. Conclusion: This study offers evidence of sunburn history and increased risk of CM, and it shows that there might be common genetic basics regarding sunburns and CM susceptibility in Caucasian, European, or British ethnic groups.

A comprehensive review of PRAME and BAP1 in melanoma: Genomic instability and immunotherapy targets.

In a thorough review of the literature, the complex roles of PRAME (preferentially expressed Antigen of Melanoma) and BAP1 (BRCA1-associated protein 1) have been investigated in uveal melanoma (UM) and cutaneous melanoma. High PRAME expression in UM is associated with poor outcomes and correlated with extraocular extension and chromosome 8q alterations. BAP1 mutations in the UM indicate genomic instability and a poor prognosis. Combining PRAME and BAP1 immunohistochemical staining facilitates effective risk stratification. Mechanistically, both genes are associated with genomic instability, making them promising targets for cancer immunotherapy. Hypomethylation of PRAME, specifically in its promoter regions, is critical for UM progression and contributes to epigenetic reprogramming. Additionally, miR-211 regulation is crucial in melanoma and has therapeutic potential. The way PRAME changes signaling pathways provides clues about the cause of cancer due to genomic instability related to modifications in DNA repair. Inhibition of poly(ADP-ribose) polymerase-1 (PARP-1) and PARP-2 in cells expressing PRAME could lead to potential therapeutic applications. Pathway enrichment analysis underscores the significance of PRAME and BAP1 in melanoma pathogenesis.

TICRR Overexpression Enhances Disease Aggressiveness and Immune Infiltration of Cutaneous Melanoma.

Objective: To investigate the role of the TopBP1 interacting checkpoint and replication regulator (TICRR) in cutaneous melanoma (CM) as a prognostic biomarker and therapeutic target. Methods: TICRR expression in tumour samples was explored using the TCGA and the GTEx database. The Kaplan-Meier survival curve, nomogram model and risk score curve were established to evaluate the prognostic role of TICRR in CM. Tissue samples of CM patients were obtained to validate the TICRR expression further. Several experiments in vitro were conducted to investigate the effect of TICRR upon CM aggressiveness and to explore underlying mechanisms. Results: TICRR was overexpressed in CM tissue and was correlated with poor prognosis of CM patients. The knockdown of TICRR decreased the proliferation, migration, and invasion of CM cells, whereas overexpression produced the opposite effect. Furthermore, TICRR suppression substantially attenuated the activation of PI3K/AKT/mTOR signalling, while the PI3K/AKT inhibitor LY294002 could partially reverse the aggressiveness-enhancing effect induced by TICRR overexpression. It was further confirmed that TICRR was closely related to immune cell infiltration activities by using immune infiltration and immunofluorescence analysis. Conclusion: TICRR overexpression may enhance CM aggressiveness by activating the PI3K/Akt/mTOR pathway and promoting immune infiltration. TICRR was verified as a potential prognostic biomarker and therapeutic target for CM.

Vital Characteristics Cellular Neural Network (VCeNN) for Melanoma Lesion Segmentation: A Biologically Inspired Deep Learning Approach.

Cutaneous melanoma is a highly lethal form of cancer. Developing a medical image segmentation model capable of accurately delineating melanoma lesions with high robustness and generalization presents a formidable challenge. This study draws inspiration from cellular functional characteristics and natural selection, proposing a novel medical segmentation model named the vital characteristics cellular neural network. This model incorporates vital characteristics observed in multicellular organisms, including memory, adaptation, apoptosis, and division. Memory module enables the network to rapidly adapt to input data during the early stages of training, accelerating model convergence. Adaptation module allows neurons to select the appropriate activation function based on varying environmental conditions. Apoptosis module reduces the risk of overfitting by pruning neurons with low activation values. Division module enhances the network's learning capacity by duplicating neurons with high activation values. Experimental evaluations demonstrate the efficacy of this model in enhancing the performance of neural networks for medical image segmentation. The proposed method achieves outstanding results across numerous publicly available datasets, indicating its potential to contribute significantly to the field of medical image analysis and facilitating accurate and efficient segmentation of medical imagery. The proposed method achieves outstanding results across numerous publicly available datasets, with an F1 score of 0.901, Intersection over Union of 0.841, and Dice coefficient of 0.913, indicating its potential to contribute significantly to the field of medical image analysis and facilitating accurate and efficient segmentation of medical imagery.

Germline Variants in Patients Affected by Both Uveal and Cutaneous Melanoma.

Uveal melanoma (UM) and nonacral cutaneous melanoma (CM) are distinct entities with varied genetic landscapes despite both arising from melanocytes. There are, however, similarities in that they most frequently affect people of European ancestry, and high penetrance germline variants in BAP1, POT1 and CDKN2A have been shown to predispose to both UM and CM. This study aims to further explore germline variants in patients affected by both UM and CM, shedding light on the underlying genetic mechanism causing these diseases. Using exome sequencing we analysed germline DNA samples from a cohort of 83 Australian patients diagnosed with both UM and CM. Eight (10%) patients were identified that carried pathogenic mutations in known melanoma predisposition genes POT1, MITF, OCA2, SLC45A2 and TYR. Three (4%) patients carried pathogenic variants in genes previously linked with other cancer syndromes (ATR, BRIP1 and MSH6) and another three cases carried monoallelic pathogenic variants in recessive cancer genes (xeroderma pigmentosum and Fanconi anaemia), indicating that reduced penetrance of phenotype in these individuals may contribute to the development of both UM and CM. These findings highlight the need for further studies characterising the role of these genes in melanoma susceptibility.

Hydrogelation of peptides and carnosic acid as regulators of adaptive immunity against postoperative recurrence of cutaneous melanoma.

The in-situ activation of adaptive immunity at the surgical site has demonstrated remarkable efficacy in inhibiting various forms of tumour recurrence and even holds the promise of a potential cure. However, extensive research and bioinformatic analysis conducted in this study have unveiled the formidable challenge posed by melanoma-intrinsic ß-catenin signaling, which hinders the infiltration of cytotoxic T-lymphocytes (CTLs) and their subsequent anti-tumour action. To overcome this obstacle, a ß-catenin antagonist called carnosic acid (CA) was co-assembled with a RADA-rich peptide to create a nanonet-derived hydrogel known as Supra-gelδCA. This injectable hydrogel is designed to be retained at the surgical site while simultaneously promoting hemostasis. Importantly, Supra-gelδCA directly releases CA to the site of residual tumour lesions, thereby enhancing infiltration of CTLs and subsequently activating adaptive immunity. Consequently, it effectively suppresses postoperative recurrence of skin cutaneous melanoma (SKCM) in vivo. Collectively, the presented Supra-gelδCA not only provides an efficacious immunotherapy strategy for regulating adaptive immunity by overcoming the obstacle posed by melanoma-intrinsic ß-catenin signaling-induced absence of CTLs but also offers a clinically translatable hydrogel that revolutionizes post-surgical management of SKCM.

Integrative analysis of autophagy-related genes reveals that CAPNS1 is a novel prognostic biomarker and promotes the malignancy of melanoma via Notch signaling pathway.

Skin cutaneous melanoma (SKCM) is a highly fatal form of skin cancer that develops from the malignant transformation of epidermal melanocytes. There is substantial evidence linking autophagy to cancer etiology and immunotherapy efficacy. This study aimed to conduct a comprehensive analysis of autophagy-related genes (ARGs) using TCGA datasets and further explore the potential function of critical ARGs in SKCM progression. We performed comprehensive bioinformatics analysis uses the TCGA dataset. RT-PCR was applied to examine the expression of CAPNS1 in SKCM cells. Lost-of-function experiments were performed to detect the expression of the related proteins. In this search, we screed 70 differentially expressed autophagy-related genes (DE-ARGs), including 33 up-DE-ARGs and 37 down-DE-ARGs. Enrichment assays revealed that these 70 DE-ARGs may exert influence on critical cellular processes such as autophagy, protein kinase activity, and signaling pathways, impacting cell growth, differentiation, survival, and tumor development. Then, we further explore the prognostic value of 70 DE-ARGs and confirmed 18 survival-related DE-ARGs in SKCM patients. Nearly all the 18 DE-ARGs' methylation was negatively correlated with their corresponding expression in SKCM. The 12 survival-related DE-ARGs were used to develop a unique predictive model that effectively classified SKCM patients into high- and low-risk groups with regard to overall survival. Furthermore, tumor environment analysis indicated that the risk score was associated with several immune cells. Among the 12 survival-related DE-ARGs, our attention focused on CAPNS1 which was highly expressed in SKCM patients and predicted a poor prognosis. In addition, we confirmed that knockdown of CAPNS1 distinctly suppressed the proliferation, metastasis and EMT of SKCM cells, and promoted autophagy via regulating Notch signaling pathway. Overall, this study enhances our understanding of the intricate molecular landscape of SKCM progression and presents promising avenues for future research and clinical applications.

Integrating the melanoma 31-gene expression profile test with clinical and pathologic features can provide personalized precision estimates for sentinel lymph node positivity: an independent performance cohort.

INTRODUCTION: Up to 88% of sentinel lymph node biopsies (SLNBs) are negative. The 31-gene expression profile (31-GEP) test can help identify patients with a low risk of SLN metastasis who can safely forego SLNB. The 31-GEP classifies patients as low (Class 1 A), intermediate (Class 1B/2A), or high risk (Class 2B) for recurrence, metastasis, and SLN positivity. The integrated 31-GEP (i31-GEP) combines the 31-GEP risk score with clinicopathologic features using a neural network algorithm to personalize SLN risk prediction. METHODS: Patients from a single surgical center with 31-GEP results were included (n = 156). An i31-GEP risk prediction < 5% was considered low risk of SLN positivity. Chi-square was used to compare SLN positivity rates between groups. RESULTS: Patients considered low risk by the i31-GEP had a 0% (0/30) SLN positivity rate compared to a 31.9% (30/94, p < 0.001) positivity rate in those with > 10% risk. Using the i31-GEP to guide SLNB decisions could have significantly reduced the number of unnecessary SLNBs by 19.2% (30/156, p < 0.001) for all patients and 33.0% (30/91, p < 0.001) for T1-T2 tumors. Patients with T1-T2 tumors and an i31-GEP-predicted SLN positivity risk > 10% had a similar SLN positivity rate (33.3%) as patients with T3-T4 tumors (31.3%). CONCLUSION: The i31-GEP identified patients with < 5% risk of SLN positivity who could safely forego SLNB. Combining the 31-GEP with clinicopathologic features for a precise risk estimate can help guide risk-aligned patient care decisions for SLNB to reduce the number of unnecessary SLNBs and increase the SLNB positivity yield if the procedure is performed.

The Role of Socioeconomic Status in Patients With Cutaneous Melanoma of the Head and Neck.

OBJECTIVE: To determine the effects of socioeconomic status (SES) on cutaneous melanoma of the head and neck. DATA SOURCE: Surveillance Epidemiology and End Results (SEER) Program. REVIEW METHODS: We conducted a retrospective analysis of patients diagnosed with cutaneous melanoma of the head and neck from 2006 to 2018, utilizing population-based data including socioeconomic status (SES) assessed by the US-based Yost quintile index. SES quintiles ranged from Group 1 (lowest) to Group 5 (highest). We examined disease severity at diagnosis (stage, Breslow thickness, and spread) and survival outcomes (overall survival, cause-specific survival) to assess the impact of SES. RESULTS: A total of 53,967 melanomas of the head and neck were identified (14,146 females; 39,821 males; 51,890 white; 125 black; 317 other). Group 1 patients had a significantly higher percentage of end-stage disease (stage IV) at diagnosis (n = 101; 3.2% vs. n = 280; 1.9%, respectively) (p < .001), increased Breslow thickness (.80 mm vs .60 mm, respectively) (p < .001), and higher percentage of distant disease (n = 152; 3.6% vs. n = 431; 2.1%, respectively) (p < .001). Group 1 patients experienced a higher death rate from melanoma than group 5 patients (n = 585; 14% vs n = 1,753; 8.6%). Survival increased with SES. CONCLUSIONS: When evaluating cutaneous melanoma of the head and neck, low SES is related to more severe disease at diagnosis and worse survival outcomes. Addressing the underlying causes of this relationship could lead to more equitable management and survival outcomes. LEVEL OF EVIDENCE: III Laryngoscope, 2024.

Associations Between Cutaneous Melanoma Traits and the Likelihood of Metastasis.

Objective This study aims to analyze melanoma characteristics and their correlation with metastasis in 604 patients diagnosed at the Hospital of Lithuanian University of Health Sciences (2018-2023). Materials and methods This retrospective study used coded data from the HLUHS Skin and Venereal Diseases Department database. Data was analyzed using IBM SPSS Statistics; significance was set at p < 0.05. Results Nodal metastases were more prevalent in T4 (43.3%) and T3 (29.7%) tumours compared to other thickness groups (p<0.001). Distant metastases increased with tumour thickness (3.0% in T1 to 21.1% in T4) (p<0.001). Ulceration correlated significantly with nodal (32.3% vs. 14.1%) and distant (16.6% vs. 5.7%) metastases (p<0.001). Males exhibit higher rates of advanced stages, nodal and distant metastases, larger tumours, and torso localization; females show higher rates of superficial spreading melanoma and extremity localization. Conclusions In Lithuanian cases, T1 melanomas prevailed, but T4 thickness was notably frequent, suggesting potential early detection issues. Tumour thickness correlated with nodal (21.2%) and distant metastases (9.9%), highlighting its predictive significance. Ulceration emerged as a prognostic indicator for distant metastases, with males showing thicker tumours and higher metastasis rates, stressing targeted interventions.

ACOT7 positively regulated by CREB1 promotes the progression of cutaneous melanoma.

Cutaneous melanoma (cM) is a prevalent invasive cancer resulting from the malignant transformation of melanocytes. At present, the primary treatment for melanoma is surgical resection, which is not appropriate for patients with metastasis. Therefore, it is necessary to identify effective therapeutic targets for the early diagnosis and treatment of metastatic melanoma. Acyl-CoA thioesterase 7 (ACOT7) has been reported to be involved in the progression of multiple cancer, while its role in melanoma has not been extensively researched. Through gain-of-function and loss-of-function experiments, ACOT7 was identified as a tumor promoter that facilitates the progression of melanoma cells. Cell proliferation was promoted by overexpressing ACOT7 in M14 cells, and was suppressed by silencing ACOT7 in MeWo cells. Knockdown of ACOT7 induced cell cycle arrest by increasing the expressions of cyclin dependent kinase inhibitor 1B (P27) and cyclin dependent kinase inhibitor 1 A (P21), while simultaneously reducing proliferating cell nuclear antigen (PCNA) expression. Upregulation of ACOT7 promoted the cell cycle of melanoma cells. Additionally, apoptosis was induced by the absence of ACOT7 through activating caspase-3 and poly (ADP-ribose) polymerase (PARP). The metastatic and invasive capacity of melanoma cells was significantly enhanced by the overexpression of ACOT7 and inhibited by the downregulation of ACOT7. Moreover, the cAMP responsive element binding protein 1 (CREB1) positively regulates ACOT7 expression by binding to its promoter region. A decrease of cell proliferation, migration and invasion, as well as an increase of cell apoptosis induced by silencing CREB1 were obviously reversed by ACOT7. In summary, ACOT7 transcriptionally activated by CREB1 elevates the progression of cM.

Evaluation of weather and environmental factors and their association with cutaneous melanoma incidence: A national ecological study.

Background: Cutaneous melanoma (CM) is a significant contributor to skin cancer-related mortality globally and in Canada. Despite the well-established link between ultraviolet (UV) radiation exposure and skin cancer risk, there remains a gap in population-level interventions and persistent misconceptions about sun exposure and impact of environment on individual behavior. Objective: The current study provides an ecological analysis using latest available data (2011-2017) to define geographic/environmental contributors to the CM landscape in Canada. Methods: Utilizing Canadian Cancer Registry and Canadian Urban Environmental Health Research Consortium data, we analyzed 39,605 CM cases occurring in Canada from 2011 to 2017. Environmental data, including UV radiation, greenspace (normalized difference vegetation index), temperature, heat events, and precipitation was used to evaluate the effect of environment on CM incidence rates across Forward Sortation Area postal codes. Results: Forward Sortation Areas with increased CM incidence were associated with higher annual average temperature, snowfall, heat events, normalized difference vegetation index, and vitamin D-weighted UV exposure. Conversely, factors associated with decreased incidence included an increased annual highest temperature, rain precipitation, and a longer duration of heat events. Limitations: This study is subject to ecological bias and findings should be interpreted with caution. Conclusion: This study further substantiates associations between specific environmental factors and CM incidence.

Identification of potential therapeutic targets for skin cutaneous melanoma on the basic of transcriptomics.

BACKGROUND: Advanced skin cutaneous melanoma (SKCM) is responsible for the majority of skin cancer-related deaths. Apart from the rare BRAF V600F mutation, which can be targeted with specific drugs, there are currently no other novel effective therapeutic targets. METHODS: We used SMR analysis with cis-expressed quantitative trait locus (cis-eQTL) as the exposure variable and SKCM as the outcome variable to identify potential therapeutic targets for SKCM. Colocalization assays and HEIDI tests are used to test whether SKCM risk and gene expression are driven by common SNPs. Replication analysis further validated the findings, and we also constructed protein-protein interaction networks to explore the relationship between the identified genes and known SKCM targets. Drug prediction and molecular docking further validated the medicinal value of drug targets. Transcriptome differential analysis further validated that there were differences between normal tissues and SKCM for the selected targets. RESULTS: We identified 13 genes significantly associated with the risk of SKCM, including five protective genes and eight harmful genes. The HEIDI test and co-localization analysis further indicates a causal association between genes (SOX4, MAFF) and SKCM, categorized as Class 1 evidence targets. The remaining 11 genes, except for HELZ2 show a moderately causal association with SKCM, categorized as Class 2 evidence targets. Target druggability predictions from DGIdb suggest that SOX4, MAFF, ACSF3, CDK10, SPG7, and TCF25 are likely to be future drug targets. CONCLUSION: The study provides genetic evidence for targeting available drug genes for the treatment of SKCM.