Evidence map›Paper›PMID 28232861›Full record

ArticleF1000Research2016

Tiago C Silva, Antonio Colaprico, Catharina Olsen, Fulvio D'Angelo, Gianluca Bontempi, Michele Ceccarelli, Houtan Noushmehr

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 207 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
207citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

207 citing papers in PubMed, 2 syntheses or guidelines pooled it, 229 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Integrative in silico and clinical validation of urinary lncRNAs (SNHG7 & LINC00675) and β-catenin mRNA as molecular markers for early bladder cancer detection.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. CEACAM7 Expression and DNA Methylation: Prognostic Biomarkers for Lung Adenocarcinoma in African Americans.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  19. G-protein coupled estrogen receptor 1Frontiers in endocrinology · 2026
    Article
  20. Article

147 more citing papers are in PubMed but not listed here.

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 5 institutions in 5 countries.

Tiago C SilvaDepartment of Genetics, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil; Department of Biomedical Sciences, Cedars-Sinai, Los Angeles, CA, USA.
Antonio ColapricoInteruniversity Institute of Bioinformatics in Brussels, Brussels, Belgium; Machine Learning Group, ULB, Brussels, Belgium.
Catharina OlsenInteruniversity Institute of Bioinformatics in Brussels, Brussels, Belgium; Machine Learning Group, ULB, Brussels, Belgium.
Fulvio D'AngeloDepartment of Science and Technology, University of Sannio, Benevento, Italy; Biogem, Istituto di Ricerche Genetiche Gaetano Salvatore, Avellino, Italy.
Gianluca BontempiInteruniversity Institute of Bioinformatics in Brussels, Brussels, Belgium; Machine Learning Group, ULB, Brussels, Belgium; Department of Science and Technology, University of Sannio, Benevento, Italy.
Michele CeccarelliQatar Computing Research Institute (QCRI), HBKU, Doha, Qatar.
Houtan NoushmehrDepartment of Genetics, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil; Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA.
Institute of Bioinformatics · INUniversity of Sannio · ITCedars-Sinai Medical Center · USQatar Cardiovascular Research Center · QAUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biotechnological advances in sequencing have led to an explosion of publicly available data via large international consortia such as The Cancer Genome Atlas (TCGA), The Encyclopedia of DNA Elements (ENCODE), and The NIH Roadmap Epigenomics Mapping Consortium (Roadmap). These projects have provided unprecedented opportunities to interrogate the epigenome of cultured cancer cell lines as well as normal and tumor tissues with high genomic resolution. The Bioconductor project offers more than 1,000 open-source software and statistical packages to analyze high-throughput genomic data. However, most packages are designed for specific data types (e.g. expression, epigenetics, genomics) and there is no one comprehensive tool that provides a complete integrative analysis of the resources and data provided by all three public projects. A need to create an integration of these different analyses was recently proposed. In this workflow, we provide a series of biologically focused integrative analyses of different molecular data. We describe how to download, process and prepare TCGA data and by harnessing several key Bioconductor packages, we describe how to extract biologically meaningful genomic and epigenomic data. Using Roadmap and ENCODE data, we provide a work plan to identify biologically relevant functional epigenomic elements associated with cancer. To illustrate our workflow, we analyzed two types of brain tumors: low-grade glioma (LGG) versus high-grade glioma (glioblastoma multiform or GBM). This workflow introduces the following Bioconductor packages: AnnotationHub, ChIPSeeker, ComplexHeatmap, pathview, ELMER, GAIA, MINET, RTCGAToolbox,  TCGAbiolinks.

Indexed as

BioinformaticsCancerENCODEEpigenomicsGenomicsnon-codingRoadmapTCGA

Identifiers

PMID28232861
PMCPMC5302158
OpenAlexW2460110786

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.