Evidence map›Paper›PMID 27958379›Full record

ArticleThe pharmacogenomics journal2018

A systems biology approach to investigate the mechanism of action of trabectedin in a model of myelomonocytic leukemia.

L Mannarino, L Paracchini, I Craparotta, M Romano, S Marchini, R Gatta, E Erba, L Clivio, C Romualdi, M D'Incalci and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The pharmacogenomics journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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  5. Imidazo[1,2-Molecules (Basel, Switzerland) · 2018
    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

12 authors at 4 institutions in 1 country.

L MannarinoDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
L ParacchiniDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
I CraparottaDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
M RomanoDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
S MarchiniDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
R GattaDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
E ErbaDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
L ClivioDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
C RomualdiDepartment of Biology, University of Padua, Padua, Italy.
M D'IncalciDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
L BeltrameDepartment of Oncology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy.
L PattiniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.ORCID 0000-0003-2237-0961
Mario Negri Institute for Pharmacological Research · ITPolitecnico di Milano · ITUniversity of Milan · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to investigate the mode of action of trabectedin in myelomonocytic leukemia cells by applying systems biology approaches to mine gene expression profiling data and pharmacological assessment of the cellular effects. Significant enrichment was found in regulons of target genes inferred for specific transcription factors, among which MAFB was the most upregulated after treatment and was central in the transcriptional network likely to be relevant for the specific therapeutic effects of trabectedin against myelomonocytic cells. Using the Connectivity Map, similarity among transcriptional signatures elicited by treatment with different compounds was investigated, showing a high degree of similarity between transcriptional signatures of trabectedin and those of the topoisomerase I inhibitor, irinotecan, and an anti-dopaminergic antagonist, thioridazine. The study highlights the potential importance of systems biology approaches to generate new hypotheses that are experimentally testable to define the specificity of the mechanism of action of drugs.

Indexed as

Antineoplastic Agents, AlkylatingCell Line, TumorGene Expression ProfilingGene Regulatory NetworksHumansLeukemia, MyeloidSystems BiologyTrabectedinTranscription, GeneticAntineoplastic Agents, AlkylatingTrabectedin

Identifiers

PMID27958379
PMCPMC5817395
OpenAlexW2560941850

What OpenQuestion holds

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LicenceCC BY
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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.