Evidence map›Paper›PMID 33205120›Full record

ArticlePatterns (New York, N.Y.)2020

Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens.

Iñigo Ayestaran, Ana Galhoz, Elmar Spiegel, Ben Sidders, Jonathan R Dry, Frank Dondelinger, Andreas Bender, Ultan McDermott, Francesco Iorio, Michael P Menden

Open access · goldAbstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 44% 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

9 citing papers in PubMed, 13 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

10 authors at 6 institutions in 4 countries.

Iñigo AyestaranInstitute of Computational Biology, Helmholtz Zentrum München GmbH-German Research Center for Environmental Health, Neuherberg 85764, Germany.
Ana GalhozInstitute of Computational Biology, Helmholtz Zentrum München GmbH-German Research Center for Environmental Health, Neuherberg 85764, Germany.
Elmar SpiegelInstitute of Computational Biology, Helmholtz Zentrum München GmbH-German Research Center for Environmental Health, Neuherberg 85764, Germany.
Ben SiddersResearch and Early Development, Oncology, AstraZeneca, Cambridge CB4 0WG, UK.
Jonathan R DryResearch and Early Development, Oncology, AstraZeneca, Boston, MA 02451, USA.
Frank DondelingerCentre for Health Informatics, Computation and Statistics, Lancaster Medical School, Lancaster University, Lancaster LA1 4YW, UK.
Andreas BenderCentre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK.
Ultan McDermottResearch and Early Development, Oncology, AstraZeneca, Cambridge CB4 0WG, UK.
Francesco IorioWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1RQ, UK.
Michael P MendenInstitute of Computational Biology, Helmholtz Zentrum München GmbH-German Research Center for Environmental Health, Neuherberg 85764, Germany.
Helmholtz Zentrum München · DEAstraZeneca (United Kingdom) · GBUniversity of Cambridge · GBLancaster University · GBTempus Labs (United States) · USWellcome Sanger Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput drug screens in cancer cell lines test compounds at low concentrations, thereby enabling the identification of drug-sensitivity biomarkers, while resistance biomarkers remain underexplored. Dissecting meaningful drug responses at high concentrations is challenging due to cytotoxicity, i.e., off-target effects, thus limiting resistance biomarker discovery to frequently mutated cancer genes. To address this, we interrogate subpopulations carrying sensitivity biomarkers and consecutively investigate unexpectedly resistant (UNRES) cell lines for unique genetic alterations that may drive resistance. By analyzing the GDSC and CTRP datasets, we find 53 and 35 UNRES cases, respectively. For 24 and 28 of them, we highlight putative resistance biomarkers. We find clinically relevant cases such as EGFR

Indexed as

biomarker discoverybiostatisticscancercancer cell linesCRISPRdrug combinationsdrug high-throughput screensdrug resistanceearly drug discoveryprecision medicine

Identifiers

PMID33205120
PMCPMC7660407
OpenAlexW3039001637

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.