Evidence map›Paper›PMID 34948154›Full record

ArticleInternational journal of molecular sciences2021

MicroRNA-16 Restores Sensitivity to Tyrosine Kinase Inhibitors and Outperforms MEK Inhibitors in

Francesca Fanini, Erika Bandini, Meropi Plousiou, Silvia Carloni, Petra Wise, Paolo Neviani, Mariam Murtadha, Flavia Foca, Francesco Fabbri, Ivan Vannini and 1 more

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 4 institutions in 3 countries.

Francesca FaniniImmuno-Gene Therapy Factory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-3903-9514
Erika BandiniBiosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-4378-3573
Meropi PlousiouBiosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.
Silvia CarloniImmuno-Gene Therapy Factory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.
Petra WiseDepartment of Microgravity and Translational Regenerative Medicine, Clinic for Plastic, Aesthetic and Hand Surgery, Otto von Guericke University, 39106 Magdeburg, Germany.
Paolo NevianiExtracellular Vesicle Core, The Saban Research Institute, Children's Hospital Los Angeles, Los Angeles, CA 90027, USA.
Mariam MurtadhaJudy and Bernard Briskin Center for Multiple Myeloma Research, Department of Hematology and Hematopoietic Cell Transplantation, City of Hope, Monrovia, CA 91016, USA.
Flavia FocaUnit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-5529-4769
Francesco FabbriBiosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-7885-3025
Ivan VanniniBiosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", 47014 Meldola, Italy.ORCID 0000-0002-9279-1801
Muller FabbriCenter for Cancer and Immunology Research, Children's National Hospital, Washington, DC 20010, USA.
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITChildren's Hospital of Los Angeles · USCity of Hope · USOtto-von-Guericke-Universität Magdeburg · DE

Funding

Role of microRNAs released by Tumor Associated Macrophages within Exosomes in the chemoresistance of NeuroblastomaR01CA215753 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI FABBRI, MULLER · 2017 to 2021
$1.7M
Clinical Significance and Mechanism of Action of Exosomal microRNAs in Neuroblastoma chemoresistanceR01CA219024 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI FABBRI, MULLER · 2018 to 2022
$1.7M
NCI NIH HHS R01 CA215753NCI NIH HHS R01CA215753NCI NIH HHS R01 CA219024NCI NIH HHS R01CA219024
6 · The paper itself

Abstract

backgroundNon-small cell lung cancer (NSCLC) is the leading cause of cancer death worldwide. Chemotherapy, the treatment of choice in non-operable cases, achieves a dismal success rate, raising the need for new therapeutic options. In about 25% of NSCLC, the activating mutations of the

methodsWe performed in vitro and in vivo studies to investigate whether miR-16 could be exploited to overcome TKI resistance in KRAS-mutated NSCLC. We had three goals: first, to identify the KRAS downstream effectors targeted by mir-16, second, to study the effects of miR-16 restoration on TKI resistance in KRAS-mutated NSCLC both in vitro and in vivo, and finally, to compare miR-16 and the MEK inhibitor selumetinib in reducing KRAS-mutated NSCLC growth in vitro and in vivo.

resultsWe demonstrated that miR-16 directly targets the three

conclusionsOur findings support the biological preclinical rationale for using miR-16 in combination with erlotinib in the treatment of NSCLC with

Indexed as

Carcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmLung NeoplasmsMAP Kinase Kinase KinasesMicroRNAsMutationProto-Oncogene Proteins p21(ras)RNA, NeoplasmA549 CellsAnimalsFemaleHumansMaleMiceMice, Inbred NODMice, SCIDKRAS protein, humanMAP Kinase Kinase KinasesMicroRNAsMIRN16 microRNA, humanProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)RNA, NeoplasmKirsten RAS proto-oncogenemicroRNAsmitogen-activated protein kinasesnon-small cell lung cancertyrosine kinase inhibitors

Identifiers

PMID34948154
PMCPMC8705178
OpenAlexW4200358616

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.