Revolutionary Advances in Immunotherapy for Melanoma Are Coming into the Surgical Arena: Are We Ready?

Role of Surgery for Metastatic Melanoma in the Era of Checkpoint Blockade

Treatment paradigms have shifted with the introduction of checkpoint inhibitors, facilitating less extensive surgical procedures in some scenarios. Resection and adjuvant therapy are key components in patients with locally advanced or limited metastatic disease. Alternately, these patient populations may benefit from peri-operative systemic therapy based on recent clinical trial data. Resection is also integral to administering tumor infiltrating lymphocyte therapy in patients with treatment-refractory, unresectable melanoma. The role of surgery continues to evolve, and ranges the spectrum from resection with curative intent, to palliative interventions intended to effectively manage symptoms or disease-related complications.

Real World Data in Stage III Melanoma in Latino Low Middle Income Country: Prognostic Factors and Outcomes

INTRODUCTION

Malignant melanoma is a heterogeneous disease, with varying outcomes depending on the patient's race and ethnicity. Advanced stages can be tackled by novel targeted therapies and immunotherapy. We aimed to investigate the real-world data in Latino-Hispanic patients diagnosed with Stage III melanoma residing in Peru, a region marked by limited resources and healthcare infrastructure.

METHODS

Patients diagnosed with Stage III melanoma at the Instituto Nacional de Enfermedades Neoplasicas, Lima, Peru were included from the years 2010 to 2020. Cox regression analysis was used to assess prognostic factors.

RESULTS

Four hundred twelve patients were included, the median age of diagnosis was 63 years, with a male predominance (55.6%). Most of the patients presented with a lesion in the lower extremities (77.4%), acral lentiginous melanoma (35.4%), and ulcerated tumors (72.3%). 64.1% were diagnosed with Stage IIIC, and 27.2% received interferon-alpha therapy. With a median follow-up of 36 months, the relapse-free survival and overall survival rates were 26% and 78% at 3 years follow-up, respectively. Prognostic factors of event-free survival (EFS) were greater age (HR = 1.015, 95% CI: 1.005-1.025), ulcerated lesions (HR = 1.855, 95% CI: 1.221-2.820), N category, and the administration of interferon therapy (HR = 0.680, 95% CI: 0.488-0.947). While worse overall survival (OS) was associated with greater ages (HR = 1.032, 95% CI: 1.011-1.053) and the presence of ulceration (HR = 2.992, 95% CI:1.142-7.835).

CONCLUSION

Stage III melanoma in the Hispanic-Latino population from Peru has worse survival rates than other races and populations despite similar prognostic factors of worse EFS and OS. In resource-limited settings, reducing barriers to receiving healthcare and broadening access to contemporary immunotherapy and targeted therapy are crucial measures to improve outcomes in patients with advanced melanoma.

Prognostic modeling of patients with metastatic melanoma based on tumor immune microenvironment characteristics

Most of the malignant melanomas are already in the middle and advanced stages when they are diagnosed, which is often accompanied by the metastasis and spread of other organs. Besides, the prognosis of patients is bleak. The characteristics of the local immune microenvironment in metastatic melanoma have important implications for both tumor progression and tumor treatment. In this study, data on patients with metastatic melanoma from the TCGA and GEO datasets were selected for immune, stromal, and estimate scores, and overlapping differentially expressed genes were screened. A nine-IRGs prognostic model (ALOX5AP, ARHGAP15, CCL8, FCER1G, GBP4, HCK, MMP9, RARRES2 and TRIM22) was established by univariate COX regression, LASSO and multivariate COX regression. Receiver operating characteristic curves were used to test the predictive accuracy of the model. Immune infiltration was analyzed by using CIBERSORT and Xcell in high-risk and low-risk groups. The immune infiltration of the high-risk group was significantly lower than that of the low-risk group. Immune checkpoint analysis revealed that the expression of PDCD1, CTLA4, TIGIT, CD274, HAVR2 and LAG3 demonstrated the visible difference in groups with different levels of risk scores. WGCNA analysis found that the yellow-green module contained seven genes from the nine-IRG prognostic model, and the yellow-green module had the highest correlation with risk scores. The results of GO and KEGG suggested that the genes in the yellow-green module were mainly enriched in immune-related biological processes. Finally, the expression characteristics of ALOX5AP, ARHGAP15, CCL8, FCER1G, GBP4, HCK, MMP9, RARRES2 and TRIM22 were analyzed between metastatic melanoma and normal samples. Overall, a prognostic model for metastatic melanoma based on the tumor immune microenvironment characteristics was established, which left plenty of space for further studies. It could function well in helping people to understand characteristics of the immune microenvironment in metastatic melanoma.