ReviewOncogene2020
Transcriptional regulators and alterations that drive melanoma initiation and progression.
Review in Oncogene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 35 citations in OpenAlex.
- Transcriptional Reprogramming by AP-1-Bound Cis-Regulatory Elements Is Associated with Melanoma Development.International journal of molecular sciences · 2026Article
- Wearable bioelectronics for skin cancer management.Biomaterials · 2026Review
- Repurposing Alkylating Agents in Melanoma via ERCC8 Silencing: A Novel Therapeutic Strategy.Cancers · 2026Article
- Puerarin-Loaded Proniosomal Gel: Formulation, Characterization,Gels (Basel, Switzerland) · 2026Article
- Molecular Basis of BRAF Inhibitor Resistance in Melanoma: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Network-based analysis of heterogeneous patient-matched brain and extracranial melanoma metastasis pairs reveals three homogeneous subgroups.Computational and structural biotechnology journal · 2024Article
- Exploring the Surface: Sampling of Potential Skin Cancer Biomarkers Kynurenine and Tryptophan, Studied on 3D Melanocyte and Melanoma Models.Biomolecules · 2024Article
- Ex vivo mapping of enhancer networks that define the transcriptional program driving melanoma metastasis.Molecular oncology · 2023Article
- Vemurafenib and Dabrafenib Downregulates RIPK4 Level.Cancers · 2023Article
- Review
- Core immune cell infiltration signatures identify molecular subtypes and promote precise checkpoint immunotherapy in cutaneous melanoma.Frontiers in immunology · 2022Article
- Regulation of 3D Organization and Its Role in Cancer Biology.Frontiers in cell and developmental biology · 2022Review
- Genomic and Transcriptomic Underpinnings of Melanoma Genesis, Progression, and Metastasis.Cancers · 2021Review
- Epigenetic Alterations and Mechanisms That Drive Resistance to Targeted Cancer Therapies.Cancer research · 2021Review
- Dissecting immune cell stat regulation network reveals biomarkers to predict ICB therapy responders in melanoma.Journal of translational medicine · 2021Article
- Review
- Gene expression and immune infiltration in melanoma patients with different mutation burden.BMC cancer · 2021Article
- Thinking Small: Small Molecules as Potential Synergistic Adjuncts to Checkpoint Inhibition in Melanoma.International journal of molecular sciences · 2021Review
- Identification of the mFrontiers in molecular biosciences · 2021Article
- Identification of Genes Potentially Associated with Melanoma Tumorigenesis Through Co-Expression Network Analysis.International journal of general medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Although melanoma is the least frequent type of skin cancer, it accounts for the majority of skin cancer-related deaths. Large-scale sequencing efforts have led to the classification of melanoma into four major subtypes (i.e., BRAF-mutant, NRAS-mutant, NF1-deficient, and triple wild-type). These sequencing studies have also revealed that melanoma genomes are some of the most mutated genomes of all cancers and therefore have a high neoantigen load. These findings have resulted in the development and clinical use of targeted therapies against the oncogenic BRAF→MEK→ERK pathway and immune checkpoint inhibitors for the treatment of metastatic melanoma. Although some patients with metastatic melanoma benefit immensely from these transformative therapies, others either become resistant or do not respond at all. These clinical challenges have intensified the search for new drug targets and drugs that can benefit patients who are either intrinsically resistant or have acquired resistance to targeted therapies and immunotherapies. Numerous signaling pathways and oncogenic drivers can cause changes in mRNA transcription that in turn drive melanoma initiation and progression. Transcriptional regulation of mRNA expression is necessary to maintain cell identity and cellular plasticity via the regulation of transcription factor expression and function, promoter/enhancer activities, chromatin regulators, and three-dimensional genome organization. Transcriptional deregulation can arise due to genetic and/or non-genetic alterations in the genome. Specifically, these deregulated transcriptional programs can become liabilities for melanoma cells due to their acquired dependencies on these programs for survival, which can be harnessed to develop new therapies for melanoma. In this article, we present an overview of the mechanisms that result in the transcriptional deregulation of mRNA expression in melanoma cells and assess how these changes facilitate melanoma initiation and progression. We also describe how these deregulated transcriptional pathways represent new opportunities for the development of unconventional and potentially impactful treatments for metastatic melanoma.
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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.