Next Article in Journal
Perinatal Outcomes Related to the Presence of a Nuchal Cord During Delivery: A Retrospective Cohort Study
Previous Article in Journal
Evaluation of Retinal and Optic Nerve Parameters in Recovered COVID-19 Patients: Potential Neurodegenerative Impact on the Ganglion Cell Layer
Previous Article in Special Issue
DNA Methylation Array Analysis Identifies Biological Subgroups of Cutaneous Melanoma and Reveals Extensive Differences with Benign Melanocytic Nevi
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Editorial

Editorial for “Latest Advances in Diagnosis and Management of Skin Cancer”

1
Department of Internal Medicine, Singapore General Hospital, Singapore 169608, Singapore
2
Department of Dermatology, Singapore General Hospital, Singapore 169608, Singapore
*
Author to whom correspondence should be addressed.
Diagnostics 2025, 15(10), 1196; https://doi.org/10.3390/diagnostics15101196
Submission received: 1 May 2025 / Accepted: 6 May 2025 / Published: 9 May 2025
(This article belongs to the Special Issue Latest Advances in Diagnosis and Management of Skin Cancer)
The rising global incidence of skin cancer has established this disease as a critical public health issue. In recent years, numerous technological innovations have enabled more precise and timely diagnoses, while novel treatments have emerged for advanced stages of the disease. To highlight these significant developments, this Special Issue presents 11 valuable contributions to the field—ranging from detailed observations of rare and atypical cases to crucial advancements in diagnostics, treatment, and artificial intelligence (AI)-assisted decision-making.
The future of skin cancer diagnoses is increasingly poised to incorporate AI-assisted technologies, as the field moves toward integrating multi-modality data from global sources [1]. One study in our Special Issue explored Explainable AI (XAI) using ABELE for skin lesion classification. The saliency maps generated by ABELE provided useful topographical information that enhanced physicians’ confidence in their diagnoses. To realise ABELE’s potential, the training dataset must be expanded to include a broader range of lesion types, disease stages, and patient demographics. Future international collaborations will be essential for advancing our knowledge amidst increasingly complex experimental designs and analytical methodologies.
Beyond the promise of AI, the field of cutaneous melanoma has also witnessed advances in bedside, histopathological, and molecular diagnostics [2,3]. In particular, novel imaging techniques have emerged to improve early melanoma diagnosis. D’Onghia et al. highlighted the strengths of high-magnification dermoscopy and fluorescence-assisted videodermatoscopy in a study involving 85 patients with facial skin lesions [4]. Alongside the advent of line-field confocal optical coherence tomography [5], we are one step closer to untangling this Gordian knot non-invasively, potentially reducing the need for biopsies.
The emergence of programmed cell death-1 (PD1) inhibitors has transformed the management of metastatic melanoma; however, clinicians must remain vigilant regarding immune-related adverse events [6]. Another study in our Special Issue contributes a Southeast Asian perspective to the growing body of evidence on anti-PD1 inhibitors. Consistent with findings from other parts of the world, these inhibitors were shown to increase overall median survival, although a subset of melanoma patients developed cutaneous adverse reactions. Interestingly, the development of such reactions may be associated with improved overall survival, underscoring the need for future mechanistic work to unravel the underlying intricacies.
Cellular therapy represents the next frontier in skin cancer treatment, offering tailored therapeutic potential for patients who are unresponsive to current standard-of-care treatment. Indeed, several landmark trials involving tumour-infiltrating lymphocytes (TILs) and personalised, neoantigen-specific autologous T cells have demonstrated significant efficacy and safety in advanced melanoma refractory to immune checkpoint inhibitors (ICIs) and BRAF/MEK inhibitors [7,8]. Additionally, T cell-based vaccines against commonly occurring β-human papillomaviruses (β-HPVs), along with β-HPV-specific T cell immunotherapy, are also promising strategies in the fight against HPV-related cutaneous squamous cell carcinoma (cSCC).
All in all, we are witnessing a paradigm shift in skin cancer, marked by multiple breakthroughs across diagnostics and therapeutics. We hope this Special Issue will inspire continued contributions to the scientific understanding and clinical management of skin cancer, ultimately advancing patient care worldwide.

Author Contributions

Writing—original draft preparation, S.H.T.; writing—review and editing, C.C.O. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Du-Harpur, X.; Watt, F.M.; Luscombe, N.M.; Lynch, M.D. What is AI? Applications of artificial intelligence to dermatology. Br. J. Dermatol. 2020, 183, 423–430. [Google Scholar] [CrossRef] [PubMed]
  2. Merlino, G.; Herlyn, M.; Fisher, D.E.; Bastian, B.C.; Flaherty, K.T.; Davies, M.A.; Wargo, J.A.; Curiel-Lewandrowski, C.; Weber, M.J.; Leachman, S.A.; et al. The state of melanoma: Challenges and opportunities. Pigment. Cell Melanoma Res. 2016, 29, 404–416. [Google Scholar] [CrossRef] [PubMed]
  3. Davis, L.E.; Shalin, S.C.; Tackett, A.J. Current state of melanoma diagnosis and treatment. Cancer Biol. Ther. 2019, 20, 1366–1379. [Google Scholar] [CrossRef] [PubMed]
  4. D’Onghia, M.; Falcinelli, F.; Barbarossa, L.; Pinto, A.; Cartocci, A.; Tognetti, L.; Rubegni, G.; Batsikosta, A.; Rubegni, P.; Cinotti, E. Zoom-in Dermoscopy for Facial Tumors. Diagnostics 2025, 15, 324. [Google Scholar] [CrossRef] [PubMed]
  5. Latriglia, F.; Ogien, J.; Tavernier, C.; Fischman, S.; Suppa, M.; Perrot, J.L.; Dubois, A. Line-Field Confocal Optical Coherence Tomography (LC-OCT) for Skin Imaging in Dermatology. Life 2023, 13, 2268. [Google Scholar] [CrossRef] [PubMed]
  6. Bastacky, M.L.; Wang, H.; Fortman, D.; Rahman, Z.; Mascara, G.P.; Brenner, T.; Najjar, Y.G.; Luke, J.J.; Kirkwood, J.M.; Zarour, H.M.; et al. Immune-Related Adverse Events in PD-1 Treated Melanoma and Impact Upon Anti-Tumor Efficacy: A Real World Analysis. Front. Oncol. 2021, 11, 749064. [Google Scholar] [CrossRef] [PubMed]
  7. Chesney, J.; Lewis, K.D.; Kluger, H.; Hamid, O.; Whitman, E.; Thomas, S.; Wermke, M.; Cusnir, M.; Domingo-Musibay, E.; Phan, G.Q.; et al. Efficacy and safety of lifileucel, a one-time autologous tumor-infiltrating lymphocyte (TIL) cell therapy, in patients with advanced melanoma after progression on immune checkpoint inhibitors and targeted therapies: Pooled analysis of consecutive cohorts of the C-144-01 study. J. Immunother. Cancer 2022, 10, e005755. [Google Scholar] [CrossRef] [PubMed]
  8. Borgers, J.S.W.; Lenkala, D.; Kohler, V.; Jackson, E.K.; Linssen, M.D.; Hymson, S.; McCarthy, B.; O’Reilly Cosgrove, E.; Balogh, K.N.; Esaulova, E.; et al. Personalized, autologous neoantigen-specific T cell therapy in metastatic melanoma: A phase 1 trial. Nat. Med. 2025, 31, 881–893. [Google Scholar] [CrossRef] [PubMed]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tay, S.H.; Oh, C.C. Editorial for “Latest Advances in Diagnosis and Management of Skin Cancer”. Diagnostics 2025, 15, 1196. https://doi.org/10.3390/diagnostics15101196

AMA Style

Tay SH, Oh CC. Editorial for “Latest Advances in Diagnosis and Management of Skin Cancer”. Diagnostics. 2025; 15(10):1196. https://doi.org/10.3390/diagnostics15101196

Chicago/Turabian Style

Tay, Shi Huan, and Choon Chiat Oh. 2025. "Editorial for “Latest Advances in Diagnosis and Management of Skin Cancer”" Diagnostics 15, no. 10: 1196. https://doi.org/10.3390/diagnostics15101196

APA Style

Tay, S. H., & Oh, C. C. (2025). Editorial for “Latest Advances in Diagnosis and Management of Skin Cancer”. Diagnostics, 15(10), 1196. https://doi.org/10.3390/diagnostics15101196

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop