Evidence map›Paper›PMID 31523390›Full record

ArticleOncotarget2019

Drivers of topoisomerase II poisoning mimic and complement cytotoxicity in AML cells.

Piyush More, Ute Goedtel-Armbrust, Viral Shah, Marianne Mathaes, Thomas Kindler, Miguel A Andrade-Navarro, Leszek Wojnowski

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Piyush MoreDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
Ute Goedtel-ArmbrustDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
Viral ShahDepartment of Hematology, Medical Oncology and Pneumology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
Marianne MathaesDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
Thomas KindlerDepartment of Hematology, Medical Oncology and Pneumology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
Miguel A Andrade-NavarroComputational Biology and Data Mining, Faculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany.
Leszek WojnowskiDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany.
University Medical Center of the Johannes Gutenberg University Mainz · DEJohannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently approved cancer drugs remain out-of-reach to most patients due to prohibitive costs and only few produce clinically meaningful benefits. An untapped alternative is to enhance the efficacy and safety of existing cancer drugs. We hypothesized that the response to topoisomerase II poisons, a very successful group of cancer drugs, can be improved by considering treatment-associated transcript levels. To this end, we analyzed transcriptomes from Acute Myeloid Leukemia (AML) cell lines treated with the topoisomerase II poison etoposide. Using complementary criteria of co-regulation within networks and of essentiality for cell survival, we identified and functionally confirmed 11 druggable drivers of etoposide cytotoxicity. Drivers with pre-treatment expression predicting etoposide response (e.g., PARP9) generally synergized with etoposide. Drivers repressed by etoposide (e.g., PLK1) displayed standalone cytotoxicity. Drivers, whose modulation evoked etoposide-like gene expression changes (e.g., mTOR), were cytotoxic both alone and in combination with etoposide. In summary, both pre-treatment gene expression and treatment-driven changes contribute to the cell killing effect of etoposide. Such targets can be tweaked to enhance the efficacy of etoposide. This strategy can be used to identify combination partners or even replacements for other classical anticancer drugs, especially those interfering with DNA integrity and transcription.

Indexed as

cancer essentialitycombination therapyDNA damagegene expressiontopoisomerase II poisons

Identifiers

PMID31523390
PMCPMC6731103
OpenAlexW2979610684

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.