Evidence map›Paper›PMID 22523595›Full record

ArticlePloS one2012

A systems biology approach to characterize the regulatory networks leading to trabectedin resistance in an in vitro model of myxoid liposarcoma.

Sarah Uboldi, Enrica Calura, Luca Beltrame, Ilaria Fuso Nerini, Sergio Marchini, Duccio Cavalieri, Eugenio Erba, Giovanna Chiorino, Paola Ostano, Daniela D'Angelo and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  4. Alkylating anticancer agents and their relations to microRNAs.Cancer drug resistance (Alhambra, Calif.) · 2019
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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 5 institutions in 1 country.

Sarah UboldiDepartment of Oncology, Mario Negri Institute for Pharmacological Research, Milan, Italy.
Enrica Calura
Luca Beltrame
Ilaria Fuso Nerini
Sergio Marchini
Duccio Cavalieri
Eugenio Erba
Giovanna Chiorino
Paola Ostano
Daniela D'Angelo
Maurizio D'Incalci
Chiara Romualdi
Mario Negri Institute for Pharmacological Research · ITFondazione Edo ed Elvo Tempia · ITUniversity of Padua · ITFondazione Edmund Mach · ITInstitute for Experimental Endocrinology and Oncology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trabectedin, a new antitumor compound originally derived from a marine tunicate, is clinically effective in soft tissue sarcoma. The drug has shown a high selectivity for myxoid liposarcoma, characterized by the translocation t(12;16)(q13; p11) leading to the expression of FUS-CHOP fusion gene. Trabectedin appears to act interfering with mechanisms of transcription regulation. In particular, the transactivating activity of FUS-CHOP was found to be impaired by trabectedin treatment. Even after prolonged response resistance occurs and thus it is important to elucidate the mechanisms of resistance to trabectedin. To this end we developed and characterized a myxoid liposarcoma cell line resistant to trabectedin (402-91/ET), obtained by exposing the parental 402-91 cell line to stepwise increases in drug concentration. The aim of this study was to compare mRNAs, miRNAs and proteins profiles of 402-91 and 402-91/ET cells through a systems biology approach. We identified 3,083 genes, 47 miRNAs and 336 proteins differentially expressed between 402-91 and 402-91/ET cell lines. Interestingly three miRNAs among those differentially expressed, miR-130a, miR-21 and miR-7, harbored CHOP binding sites in their promoter region. We used computational approaches to integrate the three regulatory layers and to generate a molecular map describing the altered circuits in sensitive and resistant cell lines. By combining transcriptomic and proteomic data, we reconstructed two different networks, i.e. apoptosis and cell cycle regulation, that could play a key role in modulating trabectedin resistance. This approach highlights the central role of genes such as CCDN1, RB1, E2F4, TNF, CDKN1C and ABL1 in both pre- and post-transcriptional regulatory network. The validation of these results in in vivo models might be clinically relevant to stratify myxoid liposarcoma patients with different sensitivity to trabectedin treatment.

Indexed as

Antineoplastic Agents, AlkylatingCell Line, TumorDioxolesDrug Resistance, NeoplasmGene Expression ProfilingHumansLiposarcoma, MyxoidMicroRNAsNeoplasm ProteinsRNA, MessengerSystems BiologyTetrahydroisoquinolinesTrabectedinTranscription, GeneticAntineoplastic Agents, AlkylatingDioxolesMicroRNAsNeoplasm ProteinsRNA, MessengerTetrahydroisoquinolinesTrabectedin

Identifiers

PMID22523595
PMCPMC3327679
OpenAlexW2097622068

What OpenQuestion holds

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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.