Evidence map›Paper›PMID 19754664›Full record

ReviewJournal of cellular and molecular medicine2009

Genetic characterization of breast cancer and implications for clinical management.

Felipe C Geyer, Maria A Lopez-Garcia, Maryou B Lambros, Jorge S Reis-Filho

Abstract readReview
In one paragraph

Review in Journal of cellular and molecular medicine, 2009. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. International journal of molecular sciences · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. The Predictive Value ofDisease markers · 2017
    Review
  8. Review
  9. Involving disparate populations in clinical trials and biobanking protocols: experiences from the community network program centers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Article
  10. Article
  11. Article
  12. Next-generation sequencing.Breast cancer research : BCR · 2009
    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

4 authors.

Felipe C GeyerMolecular Pathology Laboratory, The Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, UK.
Maria A Lopez-Garcia
Maryou B Lambros
Jorge S Reis-Filho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a genetic disease caused by the accumulation of mutations in neoplastic cells. In the last few years, high-throughput microarray-based molecular analysis has provided increasingly more coherent information about the genetic aberrations in breast cancer. New biomarkers and molecular techniques are slowly becoming part of the diagnostic and prognostic armamentarium available for pathologists and oncologists to tailor the therapy for breast cancer patients. In this review, we will focus on the contribution of breast cancer somatic genetics to our understanding of breast cancer biology and its impact on breast cancer patient management.

Indexed as

Precision MedicineBiomarkers, TumorBreast NeoplasmsFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesHigh-Throughput Screening AssaysHumansBiomarkers, Tumor

Identifiers

PMID19754664
PMCPMC4496116

What OpenQuestion holds

Textmetadata
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.