Evidence map›Paper›PMID 38065937›Full record

ArticleCell death discovery2023

Secreted miR-210-3p, miR-183-5p and miR-96-5p reduce sensitivity to docetaxel in prostate cancer cells.

Maristella Canovai, Monica Evangelista, Alberto Mercatanti, Romina D'Aurizio, Letizia Pitto, Francesca Marrocolo, Valentina Casieri, Marco Pellegrini, Vincenzo Lionetti, Sergio Bracarda and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 11 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 5 institutions in 1 country.

Maristella CanovaiInstitute of Clinical Physiology (IFC), CNR, Pisa, Italy.ORCID http://orcid.org/0009-0004-8628-7571
Monica EvangelistaInstitute of Clinical Physiology (IFC), CNR, Pisa, Italy.
Alberto MercatantiInstitute of Clinical Physiology (IFC), CNR, Pisa, Italy.ORCID http://orcid.org/0000-0001-5110-9688
Romina D'AurizioInstitute for Informatics and Telematics (IIT), CNR, Pisa, Italy.
Letizia PittoInstitute of Clinical Physiology (IFC), CNR, Pisa, Italy.
Francesca MarrocoloUOC Medical Oncology, San Donato Hospital, Arezzo, Italy.
Valentina CasieriUnit of Translational Critical Care Medicine, Laboratory of Basic and Applied Medical Sciences, Interdisciplinary Research Center "Health Science", Sant'Anna school of Advanced Studies, Pisa, Italy.
Marco PellegriniInstitute for Informatics and Telematics (IIT), CNR, Pisa, Italy.
Vincenzo LionettiUnit of Translational Critical Care Medicine, Laboratory of Basic and Applied Medical Sciences, Interdisciplinary Research Center "Health Science", Sant'Anna school of Advanced Studies, Pisa, Italy.
Sergio BracardaUOC Medical Oncology, San Donato Hospital, Arezzo, Italy.
Milena RizzoInstitute of Clinical Physiology (IFC), CNR, Pisa, Italy. milena.rizzo@cnr.it.ORCID http://orcid.org/0000-0001-5924-8615
Istituto di Fisiologia Clinica · ITInstitute of Informatics and Telematics · ITScuola Superiore Sant'Anna · ITAzienda Ospedaliera S.Maria · ITOspedale San Donato · IT

Funding

Istituto Toscano Tumori (ITT) Rizzo-2013
6 · The paper itself

Abstract

Docetaxel (DCT) resistance is one of the main factors responsible for treatment failure in metastatic prostate cancer (PCa). Although several mechanisms of DCT resistance have been elucidated, the issue is still far from comprehensive. In this work we show that miR-96-5p, miR-183-5p and miR-210-3p (referred to as sDCT

Identifiers

PMID38065937
PMCPMC10709610
OpenAlexW4389481640

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.