Evidence map›Paper›PMID 28086223›Full record

SynthesisOncotarget2017

Aberrant methylation patterns in colorectal cancer: a meta-analysis.

Danielle Fernandes Durso, Maria Giulia Bacalini, Ítalo Faria do Valle, Chiara Pirazzini, Massimiliano Bonafé, Gastone Castellani, Ana Maria Caetano Faria, Claudio Franceschi, Paolo Garagnani, Christine Nardini

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Methylation analysis of MIR200 family in Mexican patients with colorectal cancer.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2020
    Article
  7. Article
  8. Review
  9. Review
  10. MethylatedOncotarget · 2017
    Article
  11. 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

10 authors at 5 institutions in 2 countries.

Danielle Fernandes DursoDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Maria Giulia BacaliniIRCCS Institute of Neurological Sciences, Bologna, Italy.
Ítalo Faria do ValleCAPES Foundation, Ministry of Education of Brazil-Brasília (DF), Brazil.
Chiara PirazziniIRCCS Institute of Neurological Sciences, Bologna, Italy.
Massimiliano BonaféDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Gastone CastellaniDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.
Ana Maria Caetano FariaBiochemistry and Immunology Department, Biological Sciences Institute, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Claudio FranceschiDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Paolo GaragnaniDepartment of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Christine NardiniPersonal Genomics S.r.l., Verona, Italy.
University of Bologna · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITCoordenação de Aperfeicoamento de Pessoal de Nível Superior · BRInstitute of Neurological Sciences · ITUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is among the leading causes of cancer death worldwide. Despite numerous molecular characterizations of the phenomenon, the exact dynamics of its onset and progression remain elusive. Colorectal cancer onset has been characterized by changes in DNA methylation profiles, that, owing to the stability of their patterns, are promising candidates to shed light on the molecular events laying at the base of this phenomenon.To exploit this stability and reinforce it, we conducted a meta-analysis on publicly available DNA methylation datasets generated on: normal colorectal, adenoma (ADE) and adenocarcinoma (CRC) samples using the Illumina 450k array, in the systems medicine frame, searching for tumor gene episignatures, to produce a carefully selected list of potential drivers, markers and targets of the disease. The analysis proceeds from a differential meta-analysis of the methylation profiles using an analytical pipeline recently developed by our group [1], through network reconstruction, topological and functional analyses, to finally highlight relevant epigenomic features. Our results show that genes already highlighted for their genetic or transcriptional alteration in colorectal cancer are also differentially methylated, reinforcing -regardless of the level of cellular control- their role in the complex of alterations involved in tumorigenesis.These findings were finally validated in an independent cohort from The Cancer Genome Atlas (TCGA).

Indexed as

AdenocarcinomaCluster AnalysisColorectal NeoplasmsDNA MethylationHumanscolorectal cancerdifferential analysisDNA methylationinfinium human methylation 450network analysis

Identifiers

PMID28086223
PMCPMC5355058
OpenAlexW2573683529

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.