Evidence map›Paper›PMID 25705882›Full record

ArticleThe Journal of clinical investigation2015

Co-clinical assessment identifies patterns of BRAF inhibitor resistance in melanoma.

Lawrence N Kwong, Genevieve M Boland, Dennie T Frederick, Timothy L Helms, Ahmad T Akid, John P Miller, Shan Jiang, Zachary A Cooper, Xingzhi Song, Sahil Seth and 6 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

89 citing papers in PubMed, 1 synthesis or guideline pooled it, 129 citations in OpenAlex.

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  20. Telomere dysfunction in Tert knockout mice delays BrafInternational journal of cancer · 2024
    Article

29 more citing papers are in PubMed but not listed here.

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

16 authors at 3 institutions in 2 countries.

Lawrence N Kwong
Genevieve M Boland
Dennie T Frederick
Timothy L Helms
Ahmad T Akid
John P Miller
Shan Jiang
Zachary A Cooper
Xingzhi Song
Sahil Seth
Jennifer Kamara
Alexei Protopopov
Gordon B Mills
Keith T Flaherty
Jennifer A Wargo
Lynda Chin
Institute for Applied Science · GBThe University of Texas MD Anderson Cancer Center · USMassachusetts General Hospital · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Transcriptional mechanisms and melanomaP01CA163222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEONARD Ira ZON · 2013 to 2026
$25.3M
TRAINING OF ACADEMIC SURGICAL ONCOLOGISTST32CA009599 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ashley M Holder, Jennifer A. Wargo · 1988 to 2026
$13.2M
Biological annotation of TCGA dataU01CA168394 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MILLS, GORDON B. · 2012 to 2016
$4.7M
Role of Tumor Stroma in Therapeutic Response and ResistanceU54CA163125 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHIN, LYNDA, FLAHERTY, KEITH T · 2011 to 2015
$4.4M
Exploring synergy of combined BRAF-targeted therapy & immunotherapy for melanomaK08CA160692 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WARGO, JENNIFER A. · 2012 to 2016
$713k
NCI NIH HHS 1K08CA160692-01A1NCI NIH HHS K08 CA160692NCI NIH HHS P01 CA163222NCI NIH HHS P01CA163222-02NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA009599NCI NIH HHS U01 CA168394NCI NIH HHS U54 CA163125NCI NIH HHS U54CA163125
6 · The paper itself

Abstract

Multiple mechanisms have been described that confer BRAF inhibitor resistance to melanomas, yet the basis of this resistance remains undefined in a sizable portion of patient samples. Here, we characterized samples from a set of patients with melanoma that included individuals at baseline diagnosis, on BRAF inhibitor treatment, and with resistant tumors at both the protein and RNA levels. Using RNA and DNA sequencing, we identified known resistance-conferring mutations in 50% (6 of 12) of the resistant samples. In parallel, targeted proteomic analysis by protein array categorized the resistant samples into 3 stable groups, 2 of which were characterized by reactivation of MAPK signaling to different levels and 1 that was MAPK independent. The molecular relevance of these classifications identified in patients was supported by both mutation data and the similarity of resistance patterns that emerged during a co-clinical trial in a genetically engineered mouse (GEM) model of melanoma that recapitulates the development of BRAF inhibitor resistance. Additionally, we defined candidate biomarkers in pre- and early-treatment patient samples that have potential for predicting clinical responses. On the basis of these observations, we suggest that BRAF inhibitor-resistant melanomas can be actionably classified using protein expression patterns, even without identification of the underlying genetic alteration.

Indexed as

Gene Expression ProfilingAnimalsAntineoplastic AgentsDoxycyclineDrug Resistance, NeoplasmHumansImidazolesMelanomaMelanoma, ExperimentalMiceNeoplasm ProteinsOximesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafPTEN PhosphohydrolaseTamoxifenAntineoplastic AgentsBRAF protein, humanBraf protein, mousedabrafenibDoxycyclineImidazolesNeoplasm ProteinsOximesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafPTEN PhosphohydrolasePten protein, mouseTamoxifen

Identifiers

PMID25705882
PMCPMC4396463
OpenAlexW2086434836

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.