Evidence map›Paper›PMID 24281106›Full record

ArticleCancers2010

Biomarkers for Basal-like Breast Cancer.

Jennifer R Choo, Torsten O Nielsen

Abstract read
In one paragraph

Article in Cancers, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The Proliferative and Apoptotic Landscape of Basal-like Breast Cancer.International journal of molecular sciences · 2019
    Review
  9. Review
  10. Article
  11. Article
  12. Genomic profiling of breast secretory carcinomas reveals distinct genetics from other breast cancers and similarity to mammary analog secretory carcinomas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Article
  13. Article
  14. Article
  15. Breed- and age-related differences in canine mammary tumors.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Challenges to developing proteomic-based breast cancer diagnostics.Omics : a journal of integrative biology · 2011
    Review
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

2 authors.

Jennifer R ChooDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada. torsten@interchange.ubc.ca.
Torsten O Nielsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Initially recognized through microarray-based gene expression profiling, basal-like breast cancer, for which we lack effective targeted therapies, is an aggressive form of carcinoma with a predilection for younger women. With some success, immunohistochemical studies have attempted to reproduce the expression profile classification of breast cancer through identification of subtype-specific biomarkers. This review aims to present an in depth summary and analysis of the current status of basal-like breast cancer biomarker research. While a number of biomarkers show promise for future clinical application, the next logical step is a comprehensive investigation of all biomarkers against a gene expression profile gold standard for breast cancer subtype assignment.

Identifiers

PMID24281106
PMCPMC3835118

What OpenQuestion holds

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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.