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  • Open Access

    ARTICLE

    Characterization of prognosis and immune infiltration by a novel glutamine metabolism-related model in cutaneous melanoma

    MENGQIN ZHU1,2,3,4,#, TIANYI XU5,#, HAN ZHANG3,4, XIN FAN3,4, YULAN WANG6, JIAJIA ZHANG3,4, FEI YU1,2,3,4,*

    BIOCELL, Vol.47, No.9, pp. 1931-1945, 2023, DOI:10.32604/biocell.2023.028968

    Abstract Glutamine metabolism (GM) plays an important role in tumor growth and proliferation. Skin cutaneous melanoma (SKCM) is a glutamine-dependent cancer. However, the molecular characteristics and action mechanism of GM on SKCM remain unclear. Therefore, we aimed to explore the effects of GM-related genes on survival, clinicopathological characteristics, and the tumor microenvironment in SKCM. In this study, 682 SKCM samples were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Consensus clustering was used to classify SKCM samples into distinct subtypes based on 41 GM-related genes. Differences in survival, immune infiltration, clinical characteristics, and Kyoto Encyclopedia of… More > Graphic Abstract

    Characterization of prognosis and immune infiltration by a novel glutamine metabolism-related model in cutaneous melanoma

  • Open Access

    ARTICLE

    Melanoma Detection Based on Hybridization of Extended Feature Space

    Anuj Kumar, Shakti Kumar*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2175-2198, 2023, DOI:10.32604/iasc.2023.039093

    Abstract Melanoma is a perfidious form of skin cancer. The study offers a hybrid framework for the automatic classification of melanoma. An Automatic Melanoma Detection System (AMDS) is used for identifying melanoma from the infected area of the skin image using image processing techniques. A larger number of pre-existing automatic melanoma detection systems are either commercial or their accuracy can be further improved. The research problem is to identify the best preprocessing technique, feature extractor, and classifier for melanoma detection using publically available MED-NODE data set. AMDS goes through four stages. The preprocessing stage is for noise removal; the segmentation stage… More >

  • Open Access

    ARTICLE

    Transcriptome analysis reveals tumor antigen and immune subtypes of melanoma

    JIAHENG XIE1,#, MENGMENG OU1,#, PAN YU1,#, DAN WU2,#, QIKAI TANG3, YUAN CAO4, JING HANG5, LU YIN1, TINGHONG XIANG1, MING WANG1,*, JINGPING SHI1,*

    Oncology Research, Vol.31, No.3, pp. 389-403, 2023, DOI:10.32604/or.2023.029274

    Abstract Purpose: To screen potential tumor antigens for melanoma vaccine development and identify different immune subtypes. Methods: Transcriptional data (HTSEQ-FPKM) and clinical information of a 472 Melanoma cohort GDC TCGA Melanoma (SKCM) were downloaded from the UCSC XENA website (). Subsequently, transcriptome data and clinical information of 210 melanoma cohort GSE65904 were downloaded from Gene Expression Omnibus (GEO), a large global public database. All the transcriptome expression data matrices were log2 transformed for subsequent analysis. GEPIA, TIMER, and IMMPORT databases are also used for analysis. Cell function experiments were performed to validate the role of the IDO1 gene in melanoma cell… More >

  • Open Access

    ARTICLE

    In vitro polymerization of the dopamine-borate melanin precursor: A proof-of-concept regarding boron neutron-capture therapy for melanoma

    JUAN C. STOCKERT1,2,*, SILVINA A. ROMERO1, MARCELO N. FELIX-POZZI3, ALFONSO BLÁZQUEZ-CASTRO4

    BIOCELL, Vol.47, No.4, pp. 919-928, 2023, DOI:10.32604/biocell.2023.026631

    Abstract

    The 10boron neutron-capture therapy (BNCT) is an emerging antitumoral method that shows increasing biomedical interest. BNCT is based on the selective accumulation of the 10boron isotope within the tumor, which is then irradiated with low-energy thermal neutrons, generating nuclear fission that produces 7lithium, 4helium, and γ rays. Simple catechol-borate esters have been rather overlooked as precursors of melanin biosynthesis, and therefore, a proof-of-concept approach for using dopamine-borate (DABO) as a suitable boron-containing candidate for potential BNCT is presented here. DABO can spontaneously oxidize and autopolymerize in vitro, giving a soluble, eumelanin-like brown-black poly-DABO product. Melanotic melanoma cell cultures treated with… More >

  • Open Access

    ARTICLE

    Arithmetic Optimization with Ensemble Deep Transfer Learning Based Melanoma Classification

    K. Kalyani1, Sara A Althubiti2, Mohammed Altaf Ahmed3, E. Laxmi Lydia4, Seifedine Kadry5, Neunggyu Han6, Yunyoung Nam6,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 149-164, 2023, DOI:10.32604/cmc.2023.033005

    Abstract Melanoma is a skin disease with high mortality rate while early diagnoses of the disease can increase the survival chances of patients. It is challenging to automatically diagnose melanoma from dermoscopic skin samples. Computer-Aided Diagnostic (CAD) tool saves time and effort in diagnosing melanoma compared to existing medical approaches. In this background, there is a need exists to design an automated classification model for melanoma that can utilize deep and rich feature datasets of an image for disease classification. The current study develops an Intelligent Arithmetic Optimization with Ensemble Deep Transfer Learning Based Melanoma Classification (IAOEDTT-MC) model. The proposed IAOEDTT-MC… More >

  • Open Access

    ARTICLE

    Faster Region Based Convolutional Neural Network for Skin Lesion Segmentation

    G. Murugesan1,*, J. Jeyapriya2, M. Hemalatha3, S. Rajeshkannan4

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2099-2109, 2023, DOI:10.32604/iasc.2023.032068

    Abstract The diagnostic interpretation of dermoscopic images is a complex task as it is very difficult to identify the skin lesions from the normal. Thus the accurate detection of potential abnormalities is required for patient monitoring and effective treatment. In this work, a Two-Tier Segmentation (TTS) system is designed, which combines the unsupervised and supervised techniques for skin lesion segmentation. It comprises preprocessing by the median filter, TTS by Colour K-Means Clustering (CKMC) for initial segmentation and Faster Region based Convolutional Neural Network (FR-CNN) for refined segmentation. The CKMC approach is evaluated using the different number of clusters (k = 3,… More >

  • Open Access

    CASE REPORT

    Differential Diagnosis between Primary Intracranial Melanoma and Cerebral Cavernoma in Crohn’s Disease: A Case Report and Literature Review

    Roberta Costanzo1, Vishal Parmar2, Salvatore Marrone1, Domenico Gerardo Iacopino1, Giovanni Federico Nicoletti3, Giuseppe Emmanuele Umana4, Gianluca Scalia3,*

    Oncologie, Vol.24, No.4, pp. 937-942, 2022, DOI:10.32604/oncologie.2022.027155

    Abstract Primary intracranial melanomas are rare, with a challenging diagnosis based only on clinical and imaging features. The authors described the case of an intracerebral right parieto-temporal melanoma mimicking a cavernoma in a patient affected by Crohn’s disease. A 67-year-old female patient with Crohn’s disease and small bowel stenosis was hospitalized for surgical removal of the terminal ileum and latero-lateral ileo-colic anastomosis. During postoperative week 1, the patient developed psychomotor agitation followed by altered consciousness. An urgent brain CT showed a right intracerebral parieto-temporal hemorrhage with intralesional calcifications. The patient underwent a decompressive craniectomy with hematoma drainage and a complete resection… More >

  • Open Access

    ARTICLE

    miR 204-5p inhibits apoptosis in dacarbazine-treated melanoma cells

    NADEZHDA PALKINA, EKATERINA SERGEEVA, TATIANA RUKSHA*

    Oncology Research, Vol.29, No.6, pp. 393-400, 2021, DOI:10.32604/or.2022.025816

    Abstract Melanoma is one of the most aggressive types of malignant tumors, commonly affecting young individuals. The treatment of metastatic tumors remains obscure due to the resistance of tumor cells to drugs mediated by various mechanisms. The acquisition of a resistant phenotype is associated with both genetic and epigenetic alterations in cancer cells. Therefore, the current study aimed to investigate whether microRNA (miR)-204-5p could promote alterations in the cell cycle and apoptosis of dacarbazine (DTIC)-treated melanoma cells. Quantitative real time PCR showed that transfection of DTIC-treated SK-MEL-2 melanoma cells with miR-204-5p mimics significantly upregulated miR-204-5p. However, flow cytometric analysis revealed that… More >

  • Open Access

    ARTICLE

    Automated Deep Learning Based Melanoma Detection and Classification Using Biomedical Dermoscopic Images

    Amani Abdulrahman Albraikan1, Nadhem NEMRI2, Mimouna Abdullah Alkhonaini3, Anwer Mustafa Hilal4,*, Ishfaq Yaseen4, Abdelwahed Motwakel4

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 2443-2459, 2023, DOI:10.32604/cmc.2023.026379

    Abstract Melanoma remains a serious illness which is a common form of skin cancer. Since the earlier detection of melanoma reduces the mortality rate, it is essential to design reliable and automated disease diagnosis model using dermoscopic images. The recent advances in deep learning (DL) models find useful to examine the medical image and make proper decisions. In this study, an automated deep learning based melanoma detection and classification (ADL-MDC) model is presented. The goal of the ADL-MDC technique is to examine the dermoscopic images to determine the existence of melanoma. The ADL-MDC technique performs contrast enhancement and data augmentation at… More >

  • Open Access

    ARTICLE

    Computational high-throughput screening and in vitro approaches identify CB-006-3; A novel PI3K-BRAFV600E dual targeted inhibitor against melanoma

    FAISAL HASSAN TOBEIGEI1, REEM M. GAHTANI2, AHMAD SHAIKH2, AMER AL ALI3, NADER KAMELI4,5, HOSSAM KAMLI2, PRASANNA RAJAGOPALAN2,6,*

    Oncology Research, Vol.29, No.5, pp. 305-318, 2021, DOI:10.32604/or.2022.025187

    Abstract Malignant melanoma is characterized by both genetic and molecular alterations that activate phosphoinositide 3-kinase (PI3K), and RAS/BRAF pathways. In this work, through diversity-based high-throughput virtual screening we identified a lead molecule that selectively targets PI3K and BRAFV600E kinases. Computational screening, Molecular dynamics simulation and MMPBSA calculations were performed. PI3K and BRAFV600E kinase inhibition was done. A375 and G-361 cells were used for in vitro cellular analysis to determine antiproliferative effects, annexin V binding, nuclear fragmentation and cell cycle analysis. Computational screening of small molecules indicates compound CB-006-3 selectively targets PI3KCG (gamma subunit), PI3KCD (delta subunit) and BRAFV600E. Molecular dynamics simulation… More >

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