Evidence map›Paper›PMID 34356909›Full record

ArticleBiomedicines2021

Serum miRNA Profiling for Early PDAC Diagnosis and Prognosis: A Retrospective Study.

Ada Aita, Caterina Millino, Cosimo Sperti, Beniamina Pacchioni, Mario Plebani, Cristiano De Pittà, Daniela Basso

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. Article
  5. miRNAs in pancreatic cancer progression and metastasis.Clinical & experimental metastasis · 2024
    Review
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  8. 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

7 authors at 1 institution in 1 country.

Ada AitaDepartment of Medicine-DIMED, University of Padova, 35128 Padova, Italy.
Caterina MillinoDepartment of Biology, University of Padova, 35131 Padova, Italy.ORCID 0000-0002-8371-5102
Cosimo SpertiDepartment of Surgical, Oncological and Gastroenterological Sciences-DiSCOG, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-7869-8715
Beniamina PacchioniDepartment of Biology, University of Padova, 35131 Padova, Italy.ORCID 0000-0001-8063-6962
Mario PlebaniDepartment of Medicine-DIMED, University of Padova, 35128 Padova, Italy.
Cristiano De PittàDepartment of Biology, University of Padova, 35131 Padova, Italy.ORCID 0000-0001-8013-8162
Daniela BassoDepartment of Medicine-DIMED, University of Padova, 35128 Padova, Italy.ORCID 0000-0001-8745-6171
University of Padua · IT

Funding

Seventh Framework Programme 306031
6 · The paper itself

Abstract

backgroundTumor stage predicts pancreatic cancer (PDAC) prognosis, but prolonged and short survivals have been described in patients with early-stage tumors. Circulating microRNA (miRNA) are an emerging class of suitable biomarkers for PDAC prognosis. Our aim was to identify whether serum miRNA signatures predict survival of early-stage PDAC.

methodsSerum RNA from archival 15 stage I-III PDAC patients and 4 controls was used for miRNAs expression profile (Agilent microarrays). PDAC patients with comparable age, gender, diabetes, jaundice and surgery were classified according to survival: less than 14 months (7/15 pts, group A) and more than 22 months (8/15 pts, group B). Bioinformatic data analysis was performed by two-class Significance Analysis of Microarray (SAM) algorithm. Binary logistic regression analyses considering PDAC diagnosis and outcome as dependent variables, and ROC analyses were also performed.

results2549 human miRNAs were screened out. At SAM, 76 differentially expressed miRNAs were found among controls and PDAC (FDR = 0.4%), the large majority (50/76, 66%) of them being downregulated in PDAC with respect to controls. Six miRNAs were independently correlated with early PDAC, and among these,

conclusionsA series of serum miRNAs was identified as potentially useful for the early diagnosis of PDAC, and for establishing a prognosis.

Indexed as

expression profilingmiRNAsPDACsurvival

Identifiers

PMID34356909
PMCPMC8301411
OpenAlexW3185155632

What OpenQuestion holds

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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.