Evidence map›Paper›PMID 27542212›Full record

ArticleOncotarget2016

Computational drugs repositioning identifies inhibitors of oncogenic PI3K/AKT/P70S6K-dependent pathways among FDA-approved compounds.

Diego Carrella, Isabella Manni, Barbara Tumaini, Rosanna Dattilo, Federica Papaccio, Margherita Mutarelli, Francesco Sirci, Carla A Amoreo, Marcella Mottolese, Manuela Iezzi and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 47 citations in OpenAlex.

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  6. Double Repositioning: Veterinary Antiparasitic to Human Anticancer.International journal of molecular sciences · 2022
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  12. High-ThroughputFrontiers in oncology · 2021
    Article
  13. Drug Repurposing for Triple-Negative Breast Cancer.Journal of personalized medicine · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Drug repurposing for the treatment of glioblastoma multiforme.Journal of experimental & clinical cancer research : CR · 2017
    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

19 authors at 8 institutions in 2 countries.

Diego CarrellaTelethon Institute of Genetics and Medicine, Pozzuoli, Naples, Italy.
Isabella ManniDepartment of Research, Advanced Diagnostics, and Technological Innovations, Regina Elena National Cancer Institute, Rome, Italy.
Barbara TumainiTelethon Institute of Genetics and Medicine, Pozzuoli, Naples, Italy.
Rosanna DattiloDepartment of Hematology, Oncology and Molecular Medicine, Biobank Unit, Istituto Superiore di Sanità, Rome, Italy.
Federica PapaccioDepartment of Research, Advanced Diagnostics, and Technological Innovations, Regina Elena National Cancer Institute, Rome, Italy.
Margherita MutarelliTelethon Institute of Genetics and Medicine, Pozzuoli, Naples, Italy.
Francesco SirciTelethon Institute of Genetics and Medicine, Pozzuoli, Naples, Italy.
Carla A AmoreoS.C. Anatomia Patologica, Regina Elena National Cancer Institute, Rome, Italy.
Marcella MottoleseS.C. Anatomia Patologica, Regina Elena National Cancer Institute, Rome, Italy.
Manuela IezziImmuno-Oncology Laboratory, Aging Research Center, G. d'Annunzio University of Chieti, Pescara, Italy.
Laura CiolliImmuno-Oncology Laboratory, Aging Research Center, G. d'Annunzio University of Chieti, Pescara, Italy.
Valentina AriaDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Roberta BosottiNerviano Medical Sciences SRL, Nerviano, Italy.
Antonella IsacchiNerviano Medical Sciences SRL, Nerviano, Italy.
Fabrizio LoreniDepartment of Biology, University of Rome Tor Vergata, Rome, Italy.
Alberto BardelliCandiolo Cancer Institute-FPO, IRCCS, Candiolo, Torino, Italy.
Vittorio E AvvedimentoDipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli "Federico II", Naples, Italy.
Diego di BernardoTelethon Institute of Genetics and Medicine, Pozzuoli, Naples, Italy.
Luca CardoneDepartment of Research, Advanced Diagnostics, and Technological Innovations, Regina Elena National Cancer Institute, Rome, Italy.
Telethon Institute Of Genetics And Medicine · ITNational Cancer Institute · USNerviano Medical Sciences · ITUniversity of Chieti-Pescara · ITUniversity of Naples Federico II · ITUniversity of Rome Tor Vergata · ITIstituto Superiore di Sanità · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of inhibitors for oncogenic signalling pathways remains a key focus in modern oncology, based on personalized and targeted therapeutics. Computational drug repurposing via the analysis of FDA-approved drug network is becoming a very effective approach to identify therapeutic opportunities in cancer and other human diseases. Given that gene expression signatures can be associated with specific oncogenic mutations, we tested whether a "reverse" oncogene-specific signature might assist in the computational repositioning of inhibitors of oncogenic pathways. As a proof of principle, we focused on oncogenic PI3K-dependent signalling, a molecular pathway frequently driving cancer progression as well as raising resistance to anticancer-targeted therapies. We show that implementation of "reverse" oncogenic PI3K-dependent transcriptional signatures combined with interrogation of drug networks identified inhibitors of PI3K-dependent signalling among FDA-approved compounds. This led to repositioning of Niclosamide (Niclo) and Pyrvinium Pamoate (PP), two anthelmintic drugs, as inhibitors of oncogenic PI3K-dependent signalling. Niclo inhibited phosphorylation of P70S6K, while PP inhibited phosphorylation of AKT and P70S6K, which are downstream targets of PI3K. Anthelmintics inhibited oncogenic PI3K-dependent gene expression and showed a cytostatic effect in vitro and in mouse mammary gland. Lastly, PP inhibited the growth of breast cancer cells harbouring PI3K mutations. Our data indicate that drug repositioning by network analysis of oncogene-specific transcriptional signatures is an efficient strategy for identifying oncogenic pathway inhibitors among FDA-approved compounds. We propose that PP and Niclo should be further investigated as potential therapeutics for the treatment of tumors or diseases carrying the constitutive activation of the PI3K/P70S6K signalling axis.

Indexed as

Computational BiologyDrug RepositioningAnimalsAntineoplastic AgentsBreast NeoplasmsCarcinogenesisCell Line, TumorDrug ApprovalFemaleHumansMammary Glands, AnimalMiceNiclosamidePhosphoinositide-3 Kinase InhibitorsProto-Oncogene Proteins c-aktPyrvinium CompoundsAntineoplastic AgentsNiclosamidePhosphoinositide-3 Kinase InhibitorsProto-Oncogene Proteins c-aktpyrviniumPyrvinium CompoundsRibosomal Protein S6 Kinases, 70-kDadrugs networkFDA-approved drugsgene expression signaturesoncogenesPI3K-dependent pathways

Identifiers

PMID27542212
PMCPMC5312272
OpenAlexW2514158339

What OpenQuestion holds

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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.