Evidence map›Paper›PMID 35044091›Full record

ArticleCancer medicine2022

A B-Raf V600E gene signature for melanoma predicts prognosis and reveals sensitivity to targeted therapies.

Kevin Yao, Emily Zhou, Chao Cheng

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. DownregulatedCells · 2025
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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

3 authors at 3 institutions in 1 country.

Kevin YaoDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, Texas, USA.
Emily ZhouDepartment of Biosciences, Rice University, Houston, Texas, USA.
Chao ChengDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.ORCID 0000-0002-5002-3417
Baylor College of Medicine · USRice University · USTexas A&M University · US

Funding

Computational Identification of new candidate drugs for lung cancer treatmentR21CA227996 · NCI · BAYLOR COLLEGE OF MEDICINE · PI CHENG, CHAO, ONEGA, TRACY · 2019 to 2020
$397k
NCI NIH HHS R21 CA227996
6 · The paper itself

Abstract

backgroundB-Raf V600E mutations account for about half of all skin cutaneous melanoma cases, and patients with this mutation are sensitive to BRAF inhibitors. However, aberrations in other genes in the MAPK/ERK pathway may cascade a similar effect as B-Raf V600E mutations, rendering those patients sensitive to BRAF inhibitors. We rationalized that defining a signature based on B-Raf pathway activity may be more informative for prognosis and drug sensitivity prediction than a binary indicator such as mutation status.

methodsIn this study, we defined a B-Raf signature score using RNA-seq data from TCGA. A higher score is shown to not only predict B-Raf mutation status, but also predict other aberrations that could similarly activate the MAPK/ERK pathway, such as B-Raf amplification, RAS mutation, and EGFR amplification.

resultsWe showed that patients dichotomized by the median B-Raf score is more significantly stratified than by other metrics of measuring B-Raf aberration, such as mutation status, gene expression, and protein expression. We also demonstrated that high B-Raf score predicts higher sensitivity to B-Raf inhibitors SB590885 and PLX4720, as expected, but also correlated with sensitivity to drugs targeting other relevant oncogenic pathways.

conclusionThe BRAF signature may better help guide targeted therapy for melanoma, and such a framework can be applied to other cancers and mutations to provide more information than mutation status alone.

Indexed as

MelanomaSkin NeoplasmsCell Line, TumorCutaneous Malignant MelanomaHumansMutationPrognosisProtein Kinase InhibitorsProto-Oncogene Proteins B-rafBRAF protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins B-rafB-RafB-Raf inhibitorsgene signatureMelanomaprognostic prediction

Identifiers

PMID35044091
PMCPMC8855909
OpenAlexW4205631826

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.