Evidence map›Paper›PMID 29285254›Full record

ArticleOncotarget2017

MicroRNA co-expression networks exhibit increased complexity in pancreatic ductal compared to Vater's papilla adenocarcinoma.

Tommaso Mazza, Massimiliano Copetti, Daniele Capocefalo, Caterina Fusilli, Tommaso Biagini, Massimo Carella, Antonio De Bonis, Nicola Mastrodonato, Ada Piepoli, Valerio Pazienza and 5 more

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Deciphering Collagen Phenotype Dynamics Regulators: Insights from In-Silico Analysis.Journal of bioinformatics and systems biology : Open access · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
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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

15 authors.

Tommaso MazzaUnit of Bioinformatics, Research Hospital, San Giovanni Rotondo 71013, Italy.
Massimiliano CopettiUnit of Biostatistics, Research Hospital, San Giovanni Rotondo 71013, Italy.
Daniele CapocefaloUnit of Bioinformatics, Research Hospital, San Giovanni Rotondo 71013, Italy.
Caterina FusilliUnit of Bioinformatics, Research Hospital, San Giovanni Rotondo 71013, Italy.
Tommaso BiaginiUnit of Bioinformatics, Research Hospital, San Giovanni Rotondo 71013, Italy.
Massimo CarellaMedical Genetics Unit, Research Hospital, San Giovanni Rotondo 71013, Italy.
Antonio De BonisDepartment of Surgery, Research Hospital, San Giovanni Rotondo 71013, Italy.
Nicola MastrodonatoDepartment of Surgery, Research Hospital, San Giovanni Rotondo 71013, Italy.
Ada PiepoliDivision of Gastroenterology and Research Laboratory, San Giovanni Rotondo 71013, Italy.
Valerio PazienzaDivision of Gastroenterology and Research Laboratory, San Giovanni Rotondo 71013, Italy.
Evaristo MaielloDepartment of Oncology IRCCS "Casa Sollievo della Sofferenza", Research Hospital, San Giovanni Rotondo 71013, Italy.
Fabio Francesco di MolaDivision of Surgical Oncology "SS Annunziata" Hospital, Chieti 66100, Italy.
Pierluigi di SebastianoDivision of Surgical Oncology "SS Annunziata" Hospital, Chieti 66100, Italy.
Angelo AndriulliDivision of Gastroenterology and Research Laboratory, San Giovanni Rotondo 71013, Italy.
Francesca TavanoDivision of Gastroenterology and Research Laboratory, San Giovanni Rotondo 71013, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MiRNA expression abnormalities in adenocarcinoma arising from pancreatic ductal system (PDAC) and Vater's papilla (PVAC) could be associated with distinctive pathologic features and clinical cancer behaviours. Our previous miRNA expression profiling data on PDAC (n=9) and PVAC (n=4) were revaluated to define differences/similarities in miRNA expression patterns. Afterwards, in order to uncover target genes and core signalling pathways regulated by specific miRNAs in these two tumour entities, miRNA interaction networks were wired for each tumour entity, and experimentally validated target genes underwent pathways enrichment analysis. One hundred and one miRNAs were altered, mainly over-expressed, in PDAC samples. Twenty-six miRNAs were deregulated in PVAC samples, where more miRNAs were down-expressed in tumours compared to normal tissues. Four miRNAs were significantly altered in both subgroups of patients, while 27 miRNAs were differentially expressed between PDAC and PVAC. Although miRNA interaction networks were more complex and dense in PDAC than in PVAC, pathways enrichment analysis uncovered a functional overlapping between PDAC and PVAC. However, shared signalling events were influenced by different miRNA and/or genes in the two tumour entities. Overall, specific miRNA expression patterns were involved in the regulation of a limited core signalling pathways in the biology landscape of PDAC and PVAC.

Indexed as

ampullary carcinomamicroRNApancrearic ductal adenocarcinoma

Identifiers

PMID29285254
PMCPMC5739641

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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.