Evidence map›Paper›PMID 41302945›Full record

ReviewJournal of clinical medicine2025

Pathway-Specific Therapeutic Modulation of Melanoma: Small-Molecule Inhibition of BRAF-MEK and KIT Signaling in Contemporary Precision Oncology with a Special Focus on Vemurafenib, Trametinib, and Imatinib.

Piotr Kawczak, Tomasz Bączek

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Piotr KawczakDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Medical University of Gdańsk, 80-416 Gdańsk, Poland.ORCID 0000-0003-3902-2744
Tomasz BączekDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Medical University of Gdańsk, 80-416 Gdańsk, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is an aggressive form of skin cancer marked by unique genetic alterations that promote tumor growth and resistance to therapy. Advances in targeted therapy have markedly improved clinical outcomes by selectively inhibiting key oncogenic pathways. This review focuses on three clinically relevant agents-vemurafenib, trametinib, and imatinib-analyzing their mechanisms of action, clinical applications, efficacy, and limitations. Vemurafenib, a selective BRAFV600E inhibitor, significantly extends progression-free and overall survival in BRAF-mutant melanoma but is limited by acquired resistance and frequent cutaneous toxicities. Trametinib, a MEK1/2 inhibitor, acts downstream in the MAPK pathway and is typically combined with BRAF inhibitors to enhance efficacy and delay resistance. Imatinib, targeting c-KIT and PDGFR mutations, demonstrates therapeutic benefit primarily in acral and mucosal melanoma subtypes, though with lower response rates than BRAF-directed therapies. Adverse events associated with these drugs are generally manageable with appropriate monitoring. Despite substantial advances, secondary mutations and reactivation of oncogenic signaling remain major challenges. This narrative review integrates data from clinical, preclinical, and real-world studies to update the current understanding of targeted therapies in cutaneous melanoma and highlight ongoing research aimed at overcoming resistance and optimizing personalized treatment strategies.

Indexed as

BRAFiC-KITiimatinibMEKimelanomatargeted treatmenttrametinibvemurafenib

Identifiers

PMID41302945
PMCPMC12653686

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.