Evidence map›Paper›PMID 26391647›Full record

ReviewBMC systems biology2015

Integrating genetics and epigenetics in breast cancer: biological insights, experimental, computational methods and therapeutic potential.

Claudia Cava, Gloria Bertoli, Isabella Castiglioni

Open access · diamondAbstract readReview
In one paragraph

Review in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

27 citing papers in PubMed, 56 citations in OpenAlex.

  1. The Association of Methylation Status and Expression Level ofInternational journal of hematology-oncology and stem cell research · 2023
    Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors at 2 institutions in 1 country.

Claudia CavaInstitute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Milan, Italy. claudia.cava@ibfm.cnr.it.
Gloria BertoliInstitute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Milan, Italy. gloria.bertoli@ibfm.cnr.it.
Isabella CastiglioniInstitute of Molecular Bioimaging and Physiology (IBFM), National Research Council (CNR), Milan, Italy. isabella.castiglioni@ibfm.cnr.it.
Institute of Molecular Bioimaging and Physiology · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopment of human cancer can proceed through the accumulation of different genetic changes affecting the structure and function of the genome. Combined analyses of molecular data at multiple levels, such as DNA copy-number alteration, mRNA and miRNA expression, can clarify biological functions and pathways deregulated in cancer. The integrative methods that are used to investigate these data involve different fields, including biology, bioinformatics, and statistics.

resultsThese methodologies are presented in this review, and their implementation in breast cancer is discussed with a focus on integration strategies. We report current applications, recent studies and interesting results leading to the identification of candidate biomarkers for diagnosis, prognosis, and therapy in breast cancer by using both individual and combined analyses.

conclusionThis review presents a state of art of the role of different technologies in breast cancer based on the integration of genetics and epigenetics, and shares some issues related to the new opportunities and challenges offered by the application of such integrative approaches.

Indexed as

Biomarkers, TumorBreast NeoplasmsComputational BiologyDNA Copy Number VariationsDNA MethylationEpigenomicsFemaleHistonesHumansMicroRNAsBiomarkers, TumorHistonesMicroRNAs

Identifiers

PMID26391647
PMCPMC4578257
OpenAlexW2169144657

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.