Recent advancements in melanoma treatment have highlighted the efficacy of various immunotherapeutic approaches, particularly adoptive cell therapy with tumor-infiltrating lymphocytes (TIL-ACT). A systematic review and meta-analysis demonstrated that TIL-ACT significantly improves overall survival in patients with advanced melanoma, especially when considering prior anti-PD-(L)1 therapy, which can influence treatment outcomes (ref: Martín-Lluesma doi.org/10.1016/j.annonc.2024.07.723/). Furthermore, the role of preexisting skin-resident CD8 and γδ T-cell circuits has emerged as a critical factor in predicting the efficacy of immune checkpoint blockade in Merkel cell carcinoma, with a notable 50% response rate observed (ref: Reinstein doi.org/10.1158/2159-8290.CD-23-0798/). In addition, the NCCN guidelines have been updated to reflect new neoadjuvant systemic therapy options, emphasizing the need for a multidisciplinary approach in the management of cutaneous melanoma (ref: Swetter doi.org/10.6004/jnccn.2024.0036/). The tumor microenvironment also plays a pivotal role in treatment responses. Studies have shown that the innate immune landscape of dMMR/MSI cancers can predict the outcomes of nivolumab treatment, suggesting that biomarker analyses are essential for tailoring immunotherapy (ref: Zeverijn doi.org/10.1158/1078-0432.CCR-24-0480/). Moreover, innovative imaging techniques such as ImmunoPET for LAG-3 expression are being explored to enhance clinical decision-making in immunotherapy (ref: Zhou doi.org/10.1136/jitc-2024-009153/). The combination of oncolytic viruses with immune checkpoint inhibitors has also shown promise in overcoming resistance in advanced melanoma, indicating a potential avenue for future therapeutic strategies (ref: Armstrong doi.org/10.1136/jitc-2024-009443/). Lastly, the association between tumor-infiltrating lymphocytes and immune-related adverse events (irAEs) has been investigated, revealing no significant correlation between TIL abundance and the development of severe irAEs, which may inform patient management strategies (ref: van Duin doi.org/10.1016/j.iotech.2024.100714/).