Evidence map›Paper›PMID 35567709›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2022

Annotation and functional characterization of long noncoding RNAs deregulated in pancreatic adenocarcinoma.

Vinicius Ferreira da Paixão, Omar Julio Sosa, Diogo Vieira da Silva Pellegrina, Bianca Dazzani, Thalita Bueno Corrêa, Ester Risério Bertoldi, Luís Bruno da Cruz E Alves-de-Moraes, Diogo de Oliveira Pessoa, Victoria de Paiva Oliveira, Ricardo Alberto Chiong Zevallos and 10 more

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2022. 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
0.6field-weighted citation impact, top 40% 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, 6 citations in OpenAlex.

  1. Review
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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

20 authors at 3 institutions in 1 country.

Vinicius Ferreira da Paixão *Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Omar Julio Sosa *Programa Interunidades de Pós-Graduação em Bioinformática, Universidade de São Paulo, São Paulo, SP, Brazil.
Diogo Vieira da Silva PellegrinaPrograma Interunidades de Pós-Graduação em Bioinformática, Universidade de São Paulo, São Paulo, SP, Brazil.
Bianca DazzaniDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Thalita Bueno CorrêaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Ester Risério BertoldiPrograma Interunidades de Pós-Graduação em Bioinformática, Universidade de São Paulo, São Paulo, SP, Brazil.
Luís Bruno da Cruz E Alves-de-MoraesDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Diogo de Oliveira PessoaDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Victoria de Paiva OliveiraDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Ricardo Alberto Chiong ZevallosDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Lilian Cristina RussoDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Fabio Luis FortiDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
João Eduardo FerreiraDepartamento de Ciência da Computação, Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, SP, Brazil.
Helano Carioca FreitasDepartamento de Oncologia Médica, AC Camargo Cancer Center, São Paulo, SP, Brazil.
José JukemuraDepartamento de Gastroenterologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Marcel Cerqueira César MachadoDepartamento de Emergências Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brazil.
Maria Dirlei BegnamiDepartamento de Anatomia Patológica - AC Camargo Cancer Center, São Paulo, SP, Brazil.
João Carlos SetubalDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Daniela Sanchez BassèresDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil.
Eduardo Moraes ReisDepartamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes, 748, Cidade Universitária, São Paulo, SP, 05508-900, Brazil. emreis@iq.usp.br.ORCID http://orcid.org/0000-0002-9556-3070
Universidade de São Paulo · BRAC Camargo Hospital · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 308663/2018-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/13844-2Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/19757-2
6 · The paper itself

Abstract

purposeTranscriptome analysis of pancreatic ductal adenocarcinoma (PDAC) has been useful to identify gene expression changes that sustain malignant phenotypes. Yet, most studies examined only tumor tissues and focused on protein-coding genes, leaving long non-coding RNAs (lncRNAs) largely underexplored.

methodsWe generated total RNA-Seq data from patient-matched tumor and nonmalignant pancreatic tissues and implemented a computational pipeline to survey known and novel lncRNAs. siRNA-mediated knockdown in tumor cell lines was performed to assess the contribution of PDAC-associated lncRNAs to malignant phenotypes. Gene co-expression network and functional enrichment analyses were used to assign deregulated lncRNAs to biological processes and molecular pathways.

resultsWe detected 9,032 GENCODE lncRNAs as well as 523 unannotated lncRNAs, including transcripts significantly associated with patient outcome. Aberrant expression of a subset of novel and known lncRNAs was confirmed in patient samples and cell lines. siRNA-mediated knockdown of a subset of these lncRNAs (LINC01559, LINC01133, CCAT1, LINC00920 and UCA1) reduced cell proliferation, migration and invasion. Gene co-expression network analysis associated PDAC-deregulated lncRNAs with diverse biological processes, such as cell adhesion, protein glycosylation and DNA repair. Furthermore, UCA1 knockdown was shown to specifically deregulate co-expressed genes involved in DNA repair and to negatively impact DNA repair following damage induced by ionizing radiation.

conclusionsOur study expands the repertoire of lncRNAs deregulated in PDAC, thereby revealing novel candidate biomarkers for patient risk stratification. It also provides a roadmap for functional assays aimed to characterize novel mechanisms of action of lncRNAs in pancreatic cancer, which could be explored for therapeutic development.

Indexed as

AdenocarcinomaCarcinoma, Pancreatic DuctalPancreatic NeoplasmsRNA, Long NoncodingGene Expression Regulation, NeoplasticHumansRNA, Small InterferingRNA, Long NoncodingRNA, Small InterferingGene co-expression networkLong noncoding RNAPancreatic ductal adenocarcinomaTumor biomarker

Identifiers

PMID35567709
PMCPMC12978075
OpenAlexW4280534036

What Socratic holds

Textmetadata
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 Socratic graph.