ADVANCES IN MELANOMA DETECTION: A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES AND TECHNIQUES DOI
Vinit Nalawade, Shailesh Kumar,

Shrinivas T. Shirkande

et al.

ShodhKosh Journal of Visual and Performing Arts, Journal Year: 2024, Volume and Issue: 5(6)

Published: June 30, 2024

Melanoma detection has come a long way, mostly thanks to breakthroughs in image technologies and machine learning techniques that aim make diagnoses more accurate improve patient results. Traditional like dermoscopy biopsy are still very important. However, newer multispectral images computer-assisted analysis have made it much easier tell the difference between normal cancerous tumours early on. This review talks about how melanoma tools changed over time where they now. It also artificial intelligence (AI) is being used dermatology. Some new developments high-resolution imaging, confocal microscopy optical coherence tomography, offer non-invasive options for deeper tissue real-time identification of cells, which can be important starting treatment early. Also, improvements teledermatology do screenings from afar, making people get expert care second views, especially helpful areas don't enough resources. been forever by use deep models look at pictures skin lesions with same level accuracy as doctors. These AI systems trained on large datasets help doctors decisions, could cut down medical mistakes bias. Not only that, but AI-powered show lot promise keeping track change time, an part watching melanoma. genetic markers biomarkers become useful finding who risk, allows proactive control personalised plans.

Language: Английский

Advances in Melanoma: From Genetic Insights to Therapeutic Innovations DOI Creative Commons
Fernando Valdez-Salazar,

Luis Alberto Jiménez-Del Río,

Jorge Ramón Padilla‐Gutiérrez

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(8), P. 1851 - 1851

Published: Aug. 14, 2024

Advances in melanoma research have unveiled critical insights into its genetic and molecular landscape, leading to significant therapeutic innovations. This review explores the intricate interplay between alterations, such as mutations BRAF, NRAS, KIT, pathogenesis. The MAPK PI3K/Akt/mTOR signaling pathways are highlighted for their roles tumor growth resistance mechanisms. Additionally, this delves impact of epigenetic modifications, including DNA methylation histone changes, on progression. microenvironment, characterized by immune cells, stromal soluble factors, plays a pivotal role modulating behavior treatment responses. Emerging technologies like single-cell sequencing, CRISPR-Cas9, AI-driven diagnostics transforming research, offering precise personalized approaches treatment. Immunotherapy, particularly checkpoint inhibitors mRNA vaccines, has revolutionized therapy enhancing body’s response. Despite these advances, mechanisms remain challenge, underscoring need combined therapies ongoing achieve durable comprehensive overview aims highlight current state transformative impacts advancements clinical practice.

Language: Английский

Citations

6
Metastatic Nodular Melanoma with Angiosarcomatous Transdifferentiation—A Case Report and Review of the Literature DOI Creative Commons
Adrian Dumitru, Dana Antonia Țăpoi, Mariana Costache

et al.

Diagnostics, Journal Year: 2024, Volume and Issue: 14(13), P. 1323 - 1323

Published: June 21, 2024

Diagnosing cutaneous melanomas relies mainly on histopathological analysis, which, in selected cases, can be aided by immunohistochemical evaluation of conventional melanocytic markers. Nevertheless, these malignancies, particularly metastatic settings, may display divergent differentiation with unusual histological and features. In this context, we present the case a 65-year-old male diagnosed typical superficial spreading melanoma who developed recurrence lesions featuring angiosarcomatous differentiation. The diagnosis initial tumour subsequently dedifferentiated was confirmed ample which included several markers, as well mesenchymal vascular recurrent lymph nodes metastases were completely negative for Melan-A PRAME, focally positive SOX10. Additionally, they also displayed diffuse, intense positivity CD10 WT1 focal CD99, ERB, CD31. Thus, primary established. This occurrence is rare pose important diagnostic challenges. Therefore, addition to presenting highly case, performed comprehensive review literature melanomas.

Language: Английский

Citations

5
Investigating the potential of oncolytic viruses in the treatment of melanoma: where do we go from here? DOI Creative Commons
Michael Houghton, Annwyne Houldsworth

Skin Health and Disease, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract Oncolytic viruses (OVs) can destroy cancer cells without harming healthy cells. This review explores the mechanisms by which OVs operate and methods of delivering them. Melanoma is a common type skin with increasing prevalence in UK; therefore, finding effective strategies to combat disease paramount. To understand potential treating melanoma, different types will be reviewed. Talimogene laherparepvec (T-VEC) only OV approved for melanoma; this aims efficacy T-VEC as monotherapy combined other treatments. There substantial evidence support use melanoma synthesizing current perspectives their where they proved clinical trials, monotherapies combination treatments, well exciting innovative ventures using novel virus species. Gaps are also highlighted research, such determining influence that gene mutational status has on how tumour react treatment, concept should considered future research.

Language: Английский

Citations

0
Cyclic Peptides as Protein Kinase Modulators and Their Involvement in the Treatment of Diverse Human Diseases DOI Creative Commons
Lorena Martínez-Alcántar,

Laura Hernández-Padilla,

Alma Laura Díaz-Pérez

et al.

Kinases and Phosphatases, Journal Year: 2024, Volume and Issue: 2(4), P. 346 - 378

Published: Dec. 12, 2024

Protein kinases (PKs) are an important and very popular family of enzymes that play a vital role in regulating cellular processes via the phosphorylation targets. Nevertheless, modifications expression due to mutations or their dysregulation can lead diseases, including autoimmune disorders, cardiovascular problems, diabetes, neurological cancers. Cyclic ultra-short peptides amazing structures with unique properties. The cyclicity cyclic (CPs) mimic interactions between PKs natural substrates, influencing enzyme activity essential health disease physiology. Our review summarized interference signal transduction mechanism by CPs implies inhibition substrate at level active site, similar anti-neoplastic drugs. remarkable capacity interact targets positions them as promising candidates for developing protein kinase inhibitors treating diseases. This offers new insights molecular mechanisms, cytotoxicity, target selectivity, possibility designing more effective safe therapeutic agents.

Language: Английский

Citations

1
Tumor-infiltrating lymphocytes in melanoma: from prognostic assessment to therapeutic applications DOI Creative Commons
Meshack Bida, Thabiso Victor Miya, Rodney Hull

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 6, 2024

Malignant melanoma, the most aggressive form of skin cancer, is characterized by unpredictable growth patterns, and its mortality rate has remained alarmingly high over recent decades, despite various treatment approaches. One promising strategy for improving outcomes in melanoma patients lies early use biomarkers to predict prognosis. Biomarkers offer a way gauge patient outlook disease course, facilitating timely, targeted intervention. In years, considerable attention been given immune response's role tumor's immunogenicity potential responsiveness immunologic treatments. Researchers are focusing on identifying predictive examining both cancer cell biology interactions within tumor microenvironment (TME). This approach shed light tumor-infiltrating lymphocytes (TILs), type found tumor. TILs have emerged as area study their serve prognostic indicator therapeutic target melanoma. The presence tissue can often signal positive response with numerous studies suggesting that may improve review delves into value assessing how these cells influence outcomes. It explores mechanisms through which interact clinical applications leveraging strategies. While present hopeful avenue prognostication treatment, there still challenges. These include understanding full extent TIL dynamics TME overcoming limitations TIL-based therapies. Advancements characterization methods also critical refining By addressing hurdles, TIL-focused research pave improved diagnostic options, ultimately offering better patients.

Language: Английский

Citations

0
ADVANCES IN MELANOMA DETECTION: A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES AND TECHNIQUES DOI
Vinit Nalawade, Shailesh Kumar,

Shrinivas T. Shirkande

et al.

ShodhKosh Journal of Visual and Performing Arts, Journal Year: 2024, Volume and Issue: 5(6)

Published: June 30, 2024

Melanoma detection has come a long way, mostly thanks to breakthroughs in image technologies and machine learning techniques that aim make diagnoses more accurate improve patient results. Traditional like dermoscopy biopsy are still very important. However, newer multispectral images computer-assisted analysis have made it much easier tell the difference between normal cancerous tumours early on. This review talks about how melanoma tools changed over time where they now. It also artificial intelligence (AI) is being used dermatology. Some new developments high-resolution imaging, confocal microscopy optical coherence tomography, offer non-invasive options for deeper tissue real-time identification of cells, which can be important starting treatment early. Also, improvements teledermatology do screenings from afar, making people get expert care second views, especially helpful areas don't enough resources. been forever by use deep models look at pictures skin lesions with same level accuracy as doctors. These AI systems trained on large datasets help doctors decisions, could cut down medical mistakes bias. Not only that, but AI-powered show lot promise keeping track change time, an part watching melanoma. genetic markers biomarkers become useful finding who risk, allows proactive control personalised plans.

Language: Английский

Citations

0