Evidence map›Paper›PMID 29054992›Full record

ArticleCancer discovery2018

Suppression of Adaptive Responses to Targeted Cancer Therapy by Transcriptional Repression.

Maria Rusan, Kapsok Li, Yvonne Li, Camilla L Christensen, Brian J Abraham, Nicholas Kwiatkowski, Kevin A Buczkowski, Bruno Bockorny, Ting Chen, Shuai Li and 23 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer discovery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
5.3field-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

82 citing papers in PubMed, 140 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors at 2 institutions in 2 countries.

Maria RusanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kapsok LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Yvonne LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Camilla L ChristensenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Brian J AbrahamWhitehead Institute for Biomedical Research, Cambridge, Massachusetts.
Nicholas KwiatkowskiWhitehead Institute for Biomedical Research, Cambridge, Massachusetts.
Kevin A BuczkowskiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Bruno BockornyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Ting ChenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Shuai LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Kevin RheeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Haikuo ZhangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Wankun ChenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Hideki TeraiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Tiffany TavaresDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Alan L LeggettDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Tianxia LiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Yichen WangDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Tinghu ZhangDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Tae-Jung KimDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Sook-Hee HongDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Neermala Poudel-NeupaneDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Michael SilkesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Tenny MudiantoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Li TanDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Takeshi ShimamuraMolecular Pharmacology and Therapeutics, Oncology Research Institute, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois.
Matthew MeyersonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Adam J BassDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Hideo WatanabeDepartment of Medicine, Division of Pulmonary, Critical Care and Sleep Medicine and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York.
Nathanael S GrayDepartment of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Richard A YoungWhitehead Institute for Biomedical Research, Cambridge, Massachusetts.
Kwok-Kin WongLaura & Isaac Perlmutter Cancer Center, NYU Langone Medical Center, New York, New York.
Peter S HammermanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. peter.hammerman@novartis.com.
Aarhus University · DKShanghai Medical College of Fudan University · CN

Funding

StructureP01CA154303 · NCI · DANA-FARBER CANCER INST · PI MEYERSON, MATTHEW L. · 2012 to 2021
$17.8M
MUC1-C Oncoprotein Evades Immune Destruction in Non-small Cell Lung CancerR01CA166480 · NCI · DANA-FARBER CANCER INST · PI KUFE, DONALD W., WONG, KWOK KIN · 2012 to 2021
$6.3M
Therapeutic strategies for specific subsets of KRAS mutant lung cancersR01CA140594 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WONG, KWOK KIN · 2009 to 2017
$4.5M
Targeting the transcriptional and epigenetic landscape in chemo-refractory Small-Cell Lung CancerU01CA213333 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GRAY, NATHANAEL SCHIANDER, WONG, KWOK KIN · 2017 to 2021
$3.3M
In vivo analysis of EGFR mutant driven lung cancers responses to radiation therapR01CA122794 · NCI · DANA-FARBER CANCER INST · PI WONG, KWOK KIN · 2006 to 2015
$2.8M
In vivo murine models of metastasis for therapeutic testingR01CA163896 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHARPLESS, NORMAN E, WONG, KWOK KIN · 2012 to 2016
$2.0M
Therapeutic targeting of Fibroblast Growth Factor Receptors in Squamous CancersR01CA196932 · NCI · DANA-FARBER CANCER INST · PI BASS, ADAM JOEL · 2015 to 2019
$1.9M
Development and Application of Selective Covalent Cdk7 InhibitorsR01CA179483 · NCI · DANA-FARBER CANCER INST · PI GRAY, NATHANAEL SCHIANDER, MITSIADES, CONSTANTINE S. · 2014 to 2016
$1.5M
Genomic Discovery and Targeted Therapeutics in Squamous Cell Lung CancerK08CA163677 · NCI · DANA-FARBER CANCER INST · PI HAMMERMAN, PETER S · 2012 to 2016
$783k
Investigation and targeting of the transcriptional and epigenetic landscape of Small Cell Lung CancerK99CA201618 · NCI · DANA-FARBER CANCER INST · PI CHRISTENSEN, CAMILLA L · 2016 to 2017
$257k
NCI NIH HHS K08 CA163677NCI NIH HHS K99 CA201618NCI NIH HHS P01 CA154303NCI NIH HHS R01 CA122794NCI NIH HHS R01 CA140594NCI NIH HHS R01 CA163896NCI NIH HHS R01 CA166480NCI NIH HHS R01 CA179483NCI NIH HHS R01 CA196932NCI NIH HHS U01 CA213333
6 · The paper itself

Abstract

Acquired drug resistance is a major factor limiting the effectiveness of targeted cancer therapies. Targeting tumors with kinase inhibitors induces complex adaptive programs that promote the persistence of a fraction of the original cell population, facilitating the eventual outgrowth of inhibitor-resistant tumor clones. We show that the addition of a newly identified CDK7/12 inhibitor, THZ1, to targeted therapy enhances cell killing and impedes the emergence of drug-resistant cell populations in diverse cellular and

Indexed as

Cell Line, TumorHumansNeoplasmsSignal Transduction

Identifiers

PMID29054992
PMCPMC5819998
OpenAlexW2765438409

What OpenQuestion holds

Textmetadata
LicenceTDM
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.