Lymphatic invasion in acral and non-acral melanoma: a comparative, clinicoprognostic study of primary cutaneous melanoma according to tumour site

Risk of second primary malignancies among survivors of cutaneous melanoma: A nationwide population-based study in the Republic of Korea

There is limited data on the risk of second primary malignancies (SPMs) in Asian melanoma survivors. This study aimed to identify the risk of SPMs in Asian melanoma survivors. Standardized incidence ratios (SIRs) were calculated for overall and specific SPMs. The risk factor for overall SPM development was analyzed using a multivariable Cox regression model. A total of 10,070 patients with melanoma were included in the study. Melanoma survivors exhibited an increased risk of overall SPM (SIR, 1.51; 95% confidence interval [CI], 1.34-1.70). Additionally, specific SPMs were more common among melanoma survivors, including nonmelanoma skin cancer, oral cavity and pharyngeal cancer, renal cancer, female breast cancer, lung cancer, pancreatic cancer, and liver cancer. Independent risk factors for overall SPM development included a Charlson Comorbidity Index ≥ 1 (adjusted hazard ratio [aHR], 1.41; 95% CI, 1.07-1.87), and a body mass index ≥ 25 kg/m2 (aHR, 1.47; 95% CI, 1.04-2.08). Inherent uncertainty related to diagnostic codes may exist. The risk of overall and specific SPMs was significantly elevated in Asian melanoma survivors, particularly among those with invasive melanoma. Among modifiable factors, a high body mass index (BMI) was associated with an increased risk of SPM.

Baseline Serum neutrophil-to-lymphocyte ratio in acral melanoma compared with nonacral melanoma and its prognostic significance

BACKGROUND

Acral lentiginous melanoma (ALM), a cutaneous melanoma subtype, exhibits a poorer prognosis than nonacral cutaneous melanoma (NACM). The neutrophil-to-lymphocyte ratio (NLR) is emerging as a prognostic indicator across diverse cancers.

OBJECTIVE

We explored the baseline NLR disparities between ALM and NACM, and the NLR's prognostic significance in patients with ALM.

METHODS

We reviewed records of patients with ALM and NACM diagnosed between 1997 and 2022, analyzing medical data.

RESULTS

Among 327 and 159 patients with ALM and NACM, respectively, baseline NLR varied based on distinct clinicopathologic factors between ALM and NACM. In stage 3 to 4 melanomas, the median NLR for ALM (2.18; IQR, 1.70-3.08) significantly surpassed NACM (1.74; IQR, 1.33-2.53) (P = .029). In patients with ALM, high NLR (hazard ratio, 1.64; 95% CI, 1.02-2.66; P = .043) was independently correlated with poor progression-free survival when adjusting for ulceration, Breslow thickness of ≥2 mm, and nodal invasion.

LIMITATIONS

Single-center, retrospective design.

CONCLUSION

Advanced-stage ALM exhibited a significantly higher baseline NLR compared with that of NACM. Evaluating baseline NLR could provide valuable prognostic insights for patients with ALM.

Exploring and validating the prognostic value of pathomics signatures and genomics in patients with cutaneous melanoma based on bioinformatics and deep learning

BACKGROUND

Cutaneous melanoma (CM) is the most common malignant tumor of the skin. Our study aimed to investigate the prognostic value of pathomics signatures for CM by combining pathomics and genomics.

PURPOSE

The purpose of this study was to explore the potential application value of pathomics signatures.

METHODS

Pathology full scans, clinical information, and genomics data for CM patients were downloaded from The Cancer Genome Atlas (TCGA) database. Exploratory data analysis (EDA) was used to visualize patient characteristics. Genes related to a poorer prognosis were screened through differential analysis. Survival analysis was performed to assess the prognostic value of gene and pathomics signatures. Artificial neural network (ANN) models predicted prognosis using signatures and genes. Correlation analysis was used to explore signature-gene links.

RESULTS

The clinical traits for 468 CM samples and the genomic data and pathology images for 471 CM samples were obtained from the TCGA database. The EDA results combined with multiple machine learning (ML) models suggested that the top 5 clinical traits in terms of importance were age, biopsy site, T stage, N stage and overall disease stage, and the eight ML models had a precision lower than 0.56. A total of 60 differentially expressed genes were obtained by comparing sequencing data. A total of 413 available quantitative signatures of each pathomics image were obtained with CellProfile software. The precision of the binary classification model based on pathomics signatures was 0.99, with a loss value of 1.7119e-04. The precision of the binary classification model based on differentially expressed genes was 0.98, with a loss value of 0.1101. The precision of the binary classification model based on pathomics signatures and differentially expressed genes was 0.97, with a loss value of 0.2088. The survival analyses showed that the survival rate of the high-risk group based on gene expression and pathomics signatures was significantly lower than that of the low-risk group. A total of 222 pathomics signatures and 51 differentially expressed genes were analyzed for survival with p-values of less than 0.05. There was a certain correlation between some pathomics signatures and differential gene expression involving ANO2, LINC00158, NDNF, ADAMTS15, and ADGRB3, etc. CONCLUSION: This study evaluated the prognostic significance of pathomics signatures and differentially expressed genes in CM patients. Three ANN models were developed, and all achieved accuracy rates higher than 97%. Specifically, the pathomics signature-based ANN model maintained a remarkable accuracy of 99%. These findings highlight the CellProfile + ANN model as an excellent choice for prognostic prediction in CM patients. Furthermore, our correlation analysis experimentally demonstrated a preliminary link between disease quantification and qualitative changes. Among various features, including M stage and treatments received, special attention should be given to age, biopsy site, T stage, N stage, and overall disease stage in CM patients.

Anticancer Effect of Cold Atmospheric Plasma in Syngeneic Mouse Models of Melanoma and Colon Cancer

Cold atmospheric plasma (CAP) may have applications in treating various types of malignant tumors. This study assessed the anticancer effects of CAP using melanoma and colon cancer cell lines. CAP treatment significantly reduced the in vitro viability of melanoma and colon cancer cell lines and had a negligible effect on the viability of normal human melanocytes. Additionally, CAP and epidermal growth factor receptor (EGFR) inhibitor had an additive anticancer effect in a CAP-resistant melanoma cell line. Reactive oxygen and nitrogen species known to be generated by CAP enhanced the anticancer effects of CAP and EGFR inhibitors. The in vivo anticancer activities of CAP were evaluated by testing its effects against syngeneic tumors induced in mice by melanoma and colon cancer cells. CAP treatment reduced tumor volume and weight in both cancer models, with the extent of tumor reduction dependent on the duration and number of CAP treatments. Histologic examination also revealed the tumoricidal effects of CAP in both tumor models. In conclusion, CAP inhibits the growth of mouse melanoma and colon cancer cell lines in vitro and shows tumoricidal effects against mouse models of melanoma and colon cancer in vivo.

Performance of PRAME immunohistochemistry compared with that of c-Kit, c-Myc, or cyclin D1 for the diagnosis of acral melanocytic tumors

The diagnostic role of preferentially expressed antigen in melanoma (PRAME) immunohistochemistry has not been thoroughly evaluated for acral melanocytic tumors. The objective of this study was to evaluate the utility of this modality for the diagnosis of acral melanocytic tumors compared with other potential markers. Melanocytic tumors were classified as either acral nevi, challenging melanocytic tumors (superficial atypical melanocytic proliferation of uncertain significance (SAMPUS)-favor benign (SAMPUS-FB), SAMPUS-favor malignant (SAMPUS-FM)) or acral melanomas. A total of 106 acral melanocytic tumors including acral nevi (n = 32), SAMPUS-FB (n = 17), SAMPUS-FM (n = 20), and acral melanomas (n = 37) were included. Diagnostic power, assessed using an area under the receiver operating characteristic curve (AUC) for distinguishing acral melanomas and acral nevi, was highest for PRAME (AUC = 0.997), followed by c-Myc (AUC = 0.755), cyclin D1 (AUC = 0.652), and c-Kit (AUC = 0.573). At a PRAME expression level ≥30% as a positive test for acral melanoma, the sensitivity and specificity of this marker for discriminating acral melanoma from acral nevus were 100% and 96.9%, respectively. PRAME immunohistochemistry also discriminated SAMPUS-FM from SAMPUS-FB with a sensitivity and specificity of 90.0% and 76.5%, respectively. In conclusion, PRAME immunohistochemistry can be used effectively to distinguish between various spectra of acral melanocytic neoplasms.

Mechanisms and Clinical Significance of Tumor Lymphatic Invasion

Tumor-associated lymphatic vessels play an important role in tumor progression, mediating lymphatic dissemination of malignant cells to tumor-draining lymph nodes and regulating tumor immunity. An early, necessary step in the lymphatic metastasis cascade is the invasion of lymphatic vessels by tumor cell clusters or single tumor cells. In this review, we discuss our current understanding of the underlying cellular and molecular mechanisms, which include tumor-specific as well as normal, developmental and immunological processes “hijacked” by tumor cells to gain access to the lymphatic system. Furthermore, we summarize the prognostic value of lymphatic invasion, discuss its relationship with local recurrence, lymph node and distant metastasis, and highlight potential therapeutic options and challenges.

Emerging Minimally Invasive Technologies for the Detection of Skin Cancer

With the increasing incidence of skin cancer, many noninvasive technologies to detect its presence have been developed. This review focuses on reflectance confocal microscopy (RCM), optical coherence tomography (OCT), high-frequency ultrasound (HFUS), electrical impedance spectroscopy (EIS), pigmented lesion assay (PLA), and Raman spectroscopy (RS) and discusses the basic principle, clinical applications, advantages, and disadvantages of each technology. RCM provides high cellular resolution and has high sensitivity and specificity for the diagnosis of skin cancer. OCT provides lower resolution than RCM, although its evaluable depth is deeper than that of RCM. RCM and OCT may be useful in reducing the number of unnecessary biopsies, evaluating the tumor margin, and monitoring treatment response. HFUS can be mainly used to delineate tumor depths or margins and monitor the treatment response. EIS provides high sensitivity but low specificity for the diagnosis of skin malignancies. PLA, which is based on the genetic information of lesions, is applicable for the detection of melanoma with high sensitivity and moderate-to-high specificity. RS showed high accuracy for the diagnosis of skin cancer, although more clinical studies are required. Advances in these technologies for the diagnosis of skin cancer can lead to the realization of optimized and individualized treatments.

Clinicoprognostic implications of head and neck involvement by mycosis fungoides: A retrospective cohort study

BACKGROUND

The clinicoprognostic implications of head and neck involvement of mycosis fungoides (MF) are poorly understood.

OBJECTIVES

To evaluate the association of head and neck involvement on the clinicoprognostic features of MF.

METHODS

The clinical features and survival outcomes of patients with MF in a Korean academic medical center database were retrospectively evaluated according to the presence of head and neck involvement at diagnosis.

FINDINGS

Cases of MF with (group A, n = 39) and without (group B, n = 85) head and neck involvement at diagnosis were identified. Advanced-stage disease (stages IIB-IVB) was more common in group A (43.6%) than in group B (5.9%) (P < .001). MF progression, extracutaneous dissemination, and large-cell transformation more commonly occurred in group A than in group B. The 10-year overall survival rate was worse in group A (53.4%) compared with group B (81.6%) (P < .001). Head and neck involvement at diagnosis was associated with poor prognosis in early-stage MF (stages IA-IIA) and was independently associated with worse progression-free survival (hazard ratio, 24.4; 95% confidence interval, 2.2-267.6; P = .009).

LIMITATIONS

A single center, retrospective design.

CONCLUSION

Head and neck involvement of MF was associated with a poor prognosis.