Evidence map›Paper›PMID 28628199›Full record

ArticleCurrent protocols in chemical biology2017

Measuring Cancer Drug Sensitivity and Resistance in Cultured Cells.

Mario Niepel, Marc Hafner, Mirra Chung, Peter K Sorger

Abstract read
In one paragraph

Article in Current protocols in chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Article
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  9. Optimization of Cell Viability Assays for Drug Sensitivity Screens.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
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  19. The impact of non-genetic heterogeneity on cancer cell death.Critical reviews in biochemistry and molecular biology · 2018
    Review
  20. Review
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

4 authors.

Mario NiepelHMS LINCS Center, Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.
Marc HafnerHMS LINCS Center, Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.
Mirra ChungHMS LINCS Center, Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.
Peter K SorgerHMS LINCS Center, Laboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts.

Funding

Pharmaco Response Signatures and Disease MechanismU54HL127365 · NHLBI · HARVARD MEDICAL SCHOOL · PI SORGER, PETER KARL · 2014 to 2019
$13.1M
TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI MALISZEWSKI, LAURA ELIZABETH · 2014 to 2018
$10.8M
NHLBI NIH HHS U54 HL127365NIGMS NIH HHS P50 GM107618
6 · The paper itself

Abstract

Measuring the potencies of small-molecule drugs in cell lines is a critical aspect of preclinical pharmacology. Such experiments are also prototypical of high-throughput experiments in multi-well plates. The procedure is simple in principle, but many unrecognized factors can affect the results, potentially making data unreliable. The procedures for measuring drug response described here were developed by the NIH LINCS program to improve reproducibility. Key features include maximizing uniform cell growth during the assay period, accounting for the effects of cell density on response, and correcting sensitivity measures for differences in proliferation rates. Two related protocols are described: one involves an endpoint measure well-suited to large-scale studies and the second is a time-dependent measurement that reveals changes in response over time. The methods can be adapted to other types of plate-based experiments. © 2017 by John Wiley & Sons, Inc.

Indexed as

Drug Resistance, NeoplasmAntineoplastic AgentsCell ProliferationCell SurvivalDose-Response Relationship, DrugDrug Screening Assays, AntitumorEndpoint DeterminationHumansMCF-7 CellsTime FactorsAntineoplastic Agentscancerdose-responsedrug resistancedrug sensitivityGR50GRmaxgrowth rate inhibition

Identifiers

PMID28628199
PMCPMC5538315

What OpenQuestion holds

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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.