Skin melanoma survival is not superior in females in the new stage IIID of the 8th edition of the staging system: an analysis of data from the Surveillance, Epidemiology, and End Results (SEER) database

A Prognostic Model for Cancer-Specific Survival Among Patients with Nodular Melanoma in Head and Neck

OBJECTIVES

This study aims to evaluate the correlation between risk factors and treatment methods affecting nodular melanoma (NM) in the head and neck, as well as cancer-specific survival (CSS), and provide personalized predictive tools for clinical physicians.

METHODS

The retrospective study data of 1848 patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. All variables were included in the correlation analysis using the Spearman method. Significant prognostic factors were extracted and integrated through Cox risk regression analysis to construct a nomogram. To assess the performance of the nomogram, Harrell's concordance index (C-index) and a receiver operating characteristic (ROC) curve analysis were employed.

RESULTS

Spearman's correlation analysis revealed a positive correlation between radiotherapy and lymph node metastasis, whereas chemotherapy showed a stronger association with distant metastasis. However, Cox risk regression analysis demonstrated that Mohs surgery and wide excision with margins exceeding 1 cm yielded substantial therapeutic advantages. Five independent risk prognostic factors (Breslow thickness, ulceration, N classification, M classification, and surgery type) were employed to construct a nomogram. The C-index for this nomogram was 0.713 for the training set and 0.720 for the validation set. In the training set, the 3-, 5-, and 8-year areas under the curve (AUCs) for CSS were 0.752, 0.723, and 0.720, whereas the validation set's AUCs were 0.754, 0.763, and 0.760, respectively. Calibration curves indicated the nomogram's strong discriminative ability for predicting CSS.

CONCLUSION

In this study, we identified independent prognostic factors for patients with NM in head and neck and developed a relatively accurate model to predict the survival probability of them, which could contribute to the tumor assessment and clinical decision-making.

LEVEL OF EVIDENCE

Level 3 Laryngoscope, 2024.

Construction, validation and, visualization of a web-based nomogram to identify the best candidates for primary tumor resection in advanced cutaneous melanoma patients

Background

Existing studies have shown whether primary site resection (PSR) in cutaneous melanoma (CM) patients with stage IV is controversial. Our study aimed to identify the clinical characteristics of CM patients with stage IV who benefited from PSR on a population-based study.

Methods

We retrospectively reviewed stage IV CM patients in the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015. Patients were divided into surgical and non-surgical groups according to whether PSR was performed or not. According to the median cancer-specific survival (CSS) time of the non-surgery group, the surgical group was divided into the surgery-benefit group and the non-surgery-benefit group. Multivariate cox regression analysis was used to explore independent CSS prognostic factors in the surgical group. Then, based on the independent prognostic factors of the surgical group, we established a web-based nomogram based on logistics regression.

Results

A total of 574 stage IV CM patients were included in our study, and 491 (85.60%) patients were included in the surgical group. The clinical characteristics (benefit group and non-benefit group) included age, M stage, lesion location, and ulceration status. These independent prognostic factors were includeed to construct a web-based nomogram.

Conclusions

We constructed a web-based nomogram. This model was suitable for identifying the best candidates suitable for PSR in stage IV CM patients.

Survival of patients with stage IIIC and IIID melanomas with nodal metastases in the light of new therapies

Introduction

Within stage III melanoma prognosis and outcomes significantly vary. Advances in systemic therapy improved prognosis in metastatic melanoma. Adjuvant therapy in stage III significantly lowered relapses, although the effect on survival is less evident. Analysis of treatment results in stage IIIC and IIID before introduction of the modern adjuvant therapy, but after introduction of the effective systemic therapy in metastatic relapse, is needed.

Aim

To analyse the clinical outcomes in patients with stage IIIC and IIID melanoma before the introduction of the novel adjuvant therapy.

Material and methods

Consecutive stage IIIC and IIID melanoma patients treated in 2015-2018 in 4 reference centres in Poland were enrolled in the analysis of RFS and OS (in-transit metastases excluded). Median follow-up was 26.6 months (1.7-67.2).

Results

There were 224 stage IIIC and 49 stage IIID patients. Recurrence was observed in 170 (62.2%); 102 (45.5%) deaths in stage IIIC and 28 (57.1%) in stage IIID were reported. RFS and OS were better in stage IIIC compared to stage IIID. RFS and OS in the IIIC group were 19.7 and 36.2 months, respectively, and in IIID - 8.9 and 27.8 months, respectively.

Conclusions

The survival of patients with high-risk melanomas has improved in recent years, however, it is still unsatisfactory. The major changes in melanoma management related to the introduction of the adjuvant therapy require further careful observation.

The Challenging Melanoma Landscape: From Early Drug Discovery to Clinical Approval

Melanoma is recognized as the most dangerous type of skin cancer, with high mortality and resistance to currently used treatments. To overcome the limitations of the available therapeutic options, the discovery and development of new, more effective, and safer therapies is required. In this review, the different research steps involved in the process of antimelanoma drug evaluation and selection are explored, including information regarding in silico, in vitro, and in vivo experiments, as well as clinical trial phases. Details are given about the most used cell lines and assays to perform both two- and three-dimensional in vitro screening of drug candidates towards melanoma. For in vivo studies, murine models are, undoubtedly, the most widely used for assessing the therapeutic potential of new compounds and to study the underlying mechanisms of action. Here, the main melanoma murine models are described as well as other animal species. A section is dedicated to ongoing clinical studies, demonstrating the wide interest and successful efforts devoted to melanoma therapy, in particular at advanced stages of the disease, and a final section includes some considerations regarding approval for marketing by regulatory agencies. Overall, considerable commitment is being directed to the continuous development of optimized experimental models, important for the understanding of melanoma biology and for the evaluation and validation of novel therapeutic strategies.

Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis

Melanoma is a highly aggressive malignant skin tumor with a high rate of metastasis and mortality. In this study, a comprehensive bioinformatics analysis was used to clarify the hub genes and potential drugs. Download the GSE3189, GSE22301, and GSE35388 microarray datasets from the Gene Expression Omnibus (GEO), which contains a total of 33 normal samples and 67 melanoma samples. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) approach analyze DEGs based on the DAVID. Use STRING to construct protein-protein interaction network, and use MCODE and cytoHubba plug-ins in Cytoscape to perform module analysis and identified hub genes. Use Gene Expression Profile Interactive Analysis (GEPIA) to assess the prognosis of genes in tumors. Finally, use the Drug-Gene Interaction Database (DGIdb) to screen targeted drugs related to hub genes. A total of 140 overlapping DEGs were identified from the three microarray datasets, including 59 up-regulated DEGs and 81 down-regulated DEGs. GO enrichment analysis showed that these DEGs are mainly involved in the biological process such as positive regulation of gene expression, positive regulation of cell proliferation, positive regulation of MAP kinase activity, cell migration, and negative regulation of the apoptotic process. The cellular components are concentrated in the membrane, dendritic spine, the perinuclear region of cytoplasm, extracellular exosome, and membrane raft. Molecular functions include protein homodimerization activity, calmodulin-binding, transcription factor binding, protein binding, and cytoskeletal protein binding. KEGG pathway analysis shows that these DEGs are mainly related to protein digestion and absorption, PPAR signaling pathway, signaling pathways regulating stem cells' pluripotency, and Retinol metabolism. The 23 most closely related DEGs were identified from the PPI network and combined with the GEPIA prognostic analysis, CDH3, ESRP1, FGF2, GBP2, KCNN4, KIT, SEMA4D, and ZEB1 were selected as hub genes, which are considered to be associated with poor prognosis of melanoma closely related. Besides, ten related drugs that may have therapeutic effects on melanoma were also screened. These newly discovered genes and drugs provide new ideas for further research on melanoma.