Evidence map›Paper›PMID 24463442›Full record

ArticleThe Journal of clinical investigation2014

At last: classification of human mammary cells elucidates breast cancer origins.

Robert D Cardiff, Alexander D Borowsky

Abstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Robert D Cardiff
Alexander D Borowsky

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
Translational Insights into Estrogen Receptor alpha-Positive Luminal Breast CanceU01CA141541 · NCI · WASHINGTON UNIVERSITY · PI CARDIFF, ROBERT D, SCHREIBER, ROBERT DAVID · 2009 to 2013
$3.8M
The Center for Translational Genomic PhenotypingU01CA141582 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARDIFF, ROBERT D, CHERRY, SIMON R · 2009 to 2013
$3.5M
NCI NIH HHS P30 CA093373NCI NIH HHS U01 CA141541NCI NIH HHS U01 CA141582
6 · The paper itself

Abstract

Current breast cancer classification systems are based on molecular evaluation of tumor receptor status and do not account for distinct morphological phenotypes. In other types of cancer, taxonomy based on normal cell phenotypes has been extremely useful for diagnosis and treatment strategies. In this issue of the JCI, Santagata and colleagues developed a breast cancer classification scheme based on characterization of healthy mammary cells. Reclassification of breast cancer cells and breast cancer tissue microarrays with this system correlated with prognosis better than the standard receptor status designation. This scheme provides a major advance toward our understanding of the origin of the cells in the breast and breast cancers.

Indexed as

BreastBreast NeoplasmsFemaleHumans

Identifiers

PMID24463442
PMCPMC3904633

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.