Expert Review of Molecular Diagnostics · 2024 · 11 citations · 42 references
MedicineImmunologyOncologyImmunotherapyTumor ImmunologyTumor MicroenvironmentCancer BiomarkersCancer ImmunotherapyImmune Checkpoint InhibitorsImmuno-oncology BiomarkersImmunotherapy For Skin CancerMelanocytic TumorsCutaneous Melanoma StagingMelanoma Adjuvant TherapyMelanoma BiomarkersMelanoma ImmunotherapyPd-l1 BlockadePrognostic BiomarkersTumor Mutational BurdenTumor Mutational Burden Assessment
INTRODUCTION: Over the past decade, significant advancements in the field of melanoma have included the introduction of a new staging system and the development of immunotherapy and targeted therapies, leading to changes in substage classification and impacting patient prognosis. Despite these strides, early detection remains paramount. The quest for dependable prognostic biomarkers is ongoing, given melanoma's unpredictable nature, especially in identifying patients at risk of relapse. Reliable biomarkers are critical for informed treatment decisions. AREAS COVERED: This review offers a comprehensive review of prognostic biomarkers in the context of clinical trials for immunotherapy and targeted therapy. It explores different clinical scenarios, including adjuvant, metastatic, and neo-adjuvant settings. Key findings suggest that tumor mutational burden, PD-L1 expression, IFN-γ signature, and immune-related factors are promising biomarkers associated with improved treatment responses. EXPERT OPINION: Identifying practical prognostic factors for melanoma therapy is challenging due to the tumor's heterogeneity. Promising biomarkers include tumor mutational burden (TMB), circulating tumor DNA, and those characterizing the tumor microenvironment, especially the immune component. Future research should prioritize large-scale, prospective studies to validate and standardize these biomarkers, emphasizing clinical relevance and real-world applicability. Easily accessible biomarkers have the potential to enhance the precision and effectiveness of melanoma management.
42
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
Julian P. T. Higgins, Doug Altman, Peter C Gøtzsche et al. · BMJ · 2011 · 34.2K citations · Full text
SEER Cancer Statistics Review, 1975-2003
Lynn A. G. Ries, D. Harkins, Martin Krapcho et al. · ScholarWorks - Georgia State University (Georgia State University) · 2006 · 11.5K citations · Full text
Medicine, Biostatistics, Oncology +12
Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab
Nadeem Riaz, Jonathan J. Havel, Vladimir Makarov et al. · Cell · 2017 · 2.6K citations · Full text
Medicine, Immunology, Oncology +12
Global Burden of Cutaneous Melanoma in 2020 and Projections to 2040
Melina Arnold, Deependra Singh, Mathieu Laversanne et al. · JAMA Dermatology · 2022 · 1.4K citations · Full text
Medicine, Dermatology, Oncology +16