Evidence map›Paper›PMID 27091406›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2016

Parallel In Vivo Assessment of Drug Phenotypes at Various Time Points during Systemic BRAF Inhibition Reveals Tumor Adaptation and Altered Treatment Vulnerabilities.

Oliver Jonas, Madeleine J Oudin, Tatsiana Kosciuk, Matthew Whitman, Frank B Gertler, Michael J Cima, Keith T Flaherty, Robert Langer

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Oliver JonasDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Madeleine J OudinDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Tatsiana KosciukDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Matthew WhitmanDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Frank B GertlerDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Michael J CimaDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Keith T FlahertyDivision of Surgical Oncology, Medical Oncology and Dermatology, Massachusetts General Hospital, Boston, Massachusetts.
Robert LangerDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts. rlanger@mit.edu.
Massachusetts Institute of Technology · USMassachusetts General Hospital · US

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
Implantable device for high-throughput in vivo drug sensitivity testingR21CA177391 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CIMA, MICHAEL J · 2014 to 2016
$647k
NCI NIH HHS P30 CA014051NCI NIH HHS R21 CA177391
6 · The paper itself

Abstract

purposeTreatment of BRAF-mutated melanoma tumors with BRAF inhibitor-based therapy produces high response rates, but of limited duration in the vast majority of patients. Published investigations of resistance mechanisms suggest numerous examples of tumor adaptation and signal transduction bypass mechanisms, but without insight into biomarkers that would predict which mechanism will predominate. Monitoring phenotypic response of multiple adaptive mechanisms simultaneously within the same tumor as it adapts during treatment has been elusive. EXPERIMENTAL

designThis study reports on a method to provide a more complete understanding of adaptive tumor responses. We simultaneously measured in vivo antitumor activity of 12 classes of inhibitors, which are suspected of enabling adaptive escape mechanisms, at various time points during systemic BRAF inhibition. We used implantable microdevices to release multiple compounds into distinct regions of a tumor to measure the efficacy of each compound independently and repeated these measurements as tumors progressed on systemic BRAF treatment.

resultsWe observed varying phenotypic responses to specific inhibitors before, during, and after prolonged systemic treatment with BRAF inhibitors. Our results specifically identify PI3K, PDGFR, EGFR, and HDAC inhibitors as becoming significantly more efficacious during systemic BRAF inhibition. The sensitivity to other targeted inhibitors remained mostly unchanged, whereas local incremental sensitivity to PLX4720 declined sharply.

conclusionsThese findings suggest redundancy of several resistance mechanisms and may help identify optimal constituents of more effective combination therapy in BRAF-mutant melanoma. They also represent a new paradigm for dynamic measurement of adaptive signaling mechanisms within the same tumor during therapy. Clin Cancer Res; 22(24); 6031-8. ©2016 AACR.

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorDrug Resistance, NeoplasmFemaleHumansIndolesMelanomaMiceMice, NudeMutationPhosphatidylinositol 3-KinasesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafSignal TransductionSulfonamidesAntineoplastic AgentsIndolesPhosphatidylinositol 3-KinasesPLX 4720Protein Kinase InhibitorsProto-Oncogene Proteins B-rafSulfonamides

Identifiers

PMID27091406
PMCPMC5320949
OpenAlexW2339578380

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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.