Evidence map›Paper›PMID 42246190›Full record

ReviewInternational journal of oncology2026

Targeted therapy in BRAF‑mutant melanoma: Advances and challenges (Review).

Lu Zhang, Dongliang Shen, Jianguo Feng, Liling Tang

Abstract readReview
In one paragraph

Review in International journal of oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lu ZhangKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P.R. China.
Dongliang ShenKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P.R. China.
Jianguo FengAnesthesiology and Critical Care Medicine Key Laboratory of Luzhou, Department of Anesthesiology, The Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan 646000, P.R. China.
Liling TangKey Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over half of patients with melanoma exhibit v‑Raf murine sarcoma viral oncogene homolog B (BRAF) mutations, which drive hyperactivation of the MAPK pathway and confer high proliferative potential. To target this oncogenic mutation, BRAF inhibitors, as well as MEK inhibitors (targeting the downstream effector of BRAF), have been approved for melanoma therapy. Although these inhibitors initially decrease the tumor burden, nearly all patients eventually develop drug resistance, leading to aggressive disease relapse at both the primary and metastatic sites. Understanding the mechanisms underlying tumor escape from drug lethality is crucial for the development of strategies against melanoma. The present study aimed to summarize the discovery, development and clinical evolution of the BRAF and MEK inhibitors approved for the treatment of melanoma, their notable efficacy in suppressing aggressive melanoma progression and the underlying mechanisms of acquired resistance.

Indexed as

MelanomaMolecular Targeted TherapyProtein Kinase InhibitorsProto-Oncogene Proteins B-rafAnimalsDrug Resistance, NeoplasmHumansMAP Kinase Signaling SystemMutationBRAF protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins B-rafBRAFmelanomaplasticityresistanttargeted therapy

Identifiers

PMID42246190
PMCPMC13344363

What OpenQuestion holds

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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 OpenQuestion graph.