ReviewCancers2026
Biomarkers in Melanoma: Updates in Prognosis and Management.
Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Hypoxia-Inducible Factor-1α Gene (Cancers · 2026Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Melanoma incidence rates have also been steadily increasing, emphasizing the need for improved prognostic and diagnostic tools with the goal of enhancing patients' outcomes. Biomarkers in melanoma have emerged as an important component of melanoma management, offering insight into disease progression, tumor biology, and the potential for judging treatment responses. Traditionally, blood and immunohistochemical markers such as lactate dehydrogenase (LDH), S100 calcium-binding protein (S100B), human melanoma black-45 (HMB-45), and SRY-box transcription factor 10 (SOX10) have been widely used in melanoma diagnosis, staging, and monitoring. However, their clinical use has been limited because of their low specificity, especially in patients with early-stage disease. This has led to the development of molecular and genetic biomarkers, including BRAF, NRAS, and KIT mutations, which improved patients' risk stratification and enabled targeted therapies, and gene expression signature assays such as DecisionDx (Castle Biosciences) and SkylineDx (Merlin) that are already used in clinics to help with surgical decisions and to assess patients' prognosis. Other circulating biomarkers, including microRNAs, circulating tumor DNA and circulating tumor cells, have been developed to provide minimally invasive approaches to monitor tumor evolution and detect recurrence. However, none of these new approaches are used in clinics due to their low specificity and/or sensitivity. Additionally, nomograms or predictive models have been created using biomarkers and clinicopathologic data to assess patients' outcomes and survival. While significant progress has been made, the integration of melanoma biomarkers into routine clinical practice remains limited. This review summarizes current advancements in melanoma biomarkers, including traditional serum and immunohistochemical markers, as well as developments in molecular, genetic, circulating, and predictive biomarker approaches.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.