Evidence map›Paper›PMID 32714872›Full record

ArticleFrontiers in oncology2020

Integrated Transcriptome Analysis of Human Visceral Adipocytes Unravels Dysregulated microRNA-Long Non-coding RNA-mRNA Networks in Obesity and Colorectal Cancer.

Sabrina Tait, Antonella Baldassarre, Andrea Masotti, Enrica Calura, Paolo Martini, Rosaria Varì, Beatrice Scazzocchio, Sandra Gessani, Manuela Del Cornò

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Long Noncoding RNAs in the Pathogenesis of Insulin Resistance.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. TheFrontiers in molecular biosciences · 2022
    Review
  14. Review
  15. MicroRNAs: The Link between the Metabolic Syndrome and Oncogenesis.International journal of molecular sciences · 2021
    Review
  16. Article
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

9 authors at 3 institutions in 1 country.

Sabrina TaitCenter for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy.
Antonella BaldassarreBambino Gesù Children's Hospital-IRCCS, Research Laboratories, Rome, Italy.
Andrea MasottiBambino Gesù Children's Hospital-IRCCS, Research Laboratories, Rome, Italy.
Enrica CaluraDepartment of Biology, University of Padua, Padua, Italy.
Paolo MartiniDepartment of Biology, University of Padua, Padua, Italy.
Rosaria VarìCenter for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy.
Beatrice ScazzocchioCenter for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy.
Sandra GessaniCenter for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy.
Manuela Del CornòCenter for Gender-Specific Medicine, Istituto Superiore di Sanità, Rome, Italy.
Istituto Superiore di Sanità · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity, and the obesity-associated inflammation, represents a major risk factor for the development of chronic diseases, including colorectal cancer (CRC). Dysfunctional visceral adipose tissue (AT) is now recognized as key player in obesity-associated morbidities, although the biological processes underpinning the increased CRC risk in obese subjects are still a matter of debate. Recent findings have pointed to specific alterations in the expression pattern of non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), and long non-coding RNAs (lncRNAs), as mechanisms underlying dysfunctional adipocyte phenotype in obesity. Nevertheless, the regulatory networks and interrelated processes relevant for adipocyte functions, that may contribute to a tumor-promoting microenvironment, are poorly known yet. To this end, based on RNA sequencing data, we identified lncRNAs and miRNAs, which are aberrantly expressed in visceral adipocytes from obese and CRC subjects, as compared to healthy lean control, and validated a panel of modulated ncRNAs by real-time qPCR. Furthermore, by combining the differentially expressed lncRNA and miRNA profiles with the transcriptome analysis dataset of adipocytes from lean and obese subjects affected or not by CRC, lncRNA-miRNA-mRNA adipocyte networks were defined for obese and CRC subjects. This analysis highlighted several ncRNAs modulation that are common to both obesity and CRC or unique of each disorder. Functional enrichment analysis of network-related mRNA targets, revealed dysregulated pathways associated with metabolic processes, lipid and energy metabolism, inflammation, and cancer. Moreover, adipocytes from obese subjects affected by CRC exhibited a higher complexity, in terms of number of genes, lncRNAs, miRNAs, and biological processes found to be dysregulated, providing evidence that the transcriptional and post-transcriptional program of adipocytes from CRC patients is deeply affected by obesity. Overall, this study adds further evidence for a central role of visceral adipocyte dysfunctions in the obesity-cancer relationship.

Indexed as

adipocytecolorectal cancerlong non-coding RNAsmicroRNAsnetworksobesityRNASeq

Identifiers

PMID32714872
PMCPMC7351520
OpenAlexW3039905752

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.