Evidence map›Paper›PMID 34576298›Full record

ArticleInternational journal of molecular sciences2021

Inferred Ancestral Origin of Cancer Cell Lines Associates with Differential Drug Response.

Phong B H Nguyen, Alexander J Ohnmacht, Samir Sharifli, Mathew J Garnett, Michael P Menden

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Phong B H NguyenHelmholtz Center Munich, Institute of Computational Biology, 85764 Neuherberg, Germany.ORCID 0000-0002-0882-6208
Alexander J OhnmachtHelmholtz Center Munich, Institute of Computational Biology, 85764 Neuherberg, Germany.
Samir SharifliHelmholtz Center Munich, Institute of Computational Biology, 85764 Neuherberg, Germany.
Mathew J GarnettWellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
Michael P MendenHelmholtz Center Munich, Institute of Computational Biology, 85764 Neuherberg, Germany.ORCID 0000-0003-0267-5792

Funding

H2020 European Research Council 950293
6 · The paper itself

Abstract

Disparities between risk, treatment outcomes and survival rates in cancer patients across the world may be attributed to socioeconomic factors. In addition, the role of ancestry is frequently discussed. In preclinical studies, high-throughput drug screens in cancer cell lines have empowered the identification of clinically relevant molecular biomarkers of drug sensitivity; however, the genetic ancestry from tissue donors has been largely neglected in this setting. In order to address this, here, we show that the inferred ancestry of cancer cell lines is conserved and may impact drug response in patients as a predictive covariate in high-throughput drug screens. We found that there are differential drug responses between European and East Asian ancestries, especially when treated with PI3K/mTOR inhibitors. Our finding emphasizes a new angle in precision medicine, as cancer intervention strategies should consider the germline landscape, thereby reducing the failure rate of clinical trials.

Indexed as

Asian PeopleBiomarkers, TumorCell Line, TumorDrug Resistance, NeoplasmHLA AntigensHumansNeoplasmsPolymorphism, Single NucleotideProtein Kinase InhibitorsWhite PeopleBiomarkers, TumorHLA AntigensProtein Kinase Inhibitorsancestrybiomarkerscancerhigh-throughput drug screen

Identifiers

PMID34576298
PMCPMC8467551

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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.