Evidence map›Paper›PMID 29120751›Full record

ReviewTrends in cancer2017

Breast Cancer: Multiple Subtypes within a Tumor?

Syn Kok Yeo, Jun-Lin Guan

Abstract readReview
In one paragraph

Review in Trends in cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 244 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
244citing papers in PubMed, 7 pooled it
–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

244 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The prognostic values of FOXP3Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

184 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

2 authors.

Syn Kok YeoDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Jun-Lin GuanDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA. Electronic address: guanjl@ucmail.uc.edu.

Funding

Mechanisms of FIP200 regulation of breast cancer through its autophagy and non-autophagy functionsR01CA211066 · NCI · UNIVERSITY OF CINCINNATI · PI JUN-LIN GUAN · 2017 to 2026
$3.4M
Genetic Analysis of FAK kinase and scaffold functions in breast cancerR01CA163493 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUAN, JUN-LIN · 2012 to 2016
$1.6M
NCI NIH HHS R01 CA163493NCI NIH HHS R01 CA211066
6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease, and stratification of tumors is paramount to achieve better clinical outcomes. While it is common to stratify and treat breast tumors as a single entity, insights from studies on intratumoral heterogeneity and cancer stem cells raise the possibility that multiple breast cancer subtypes may coexist within a tumor. A role for plasticity in driving dynamic conversions between breast cancer subtypes is proposed, and the clinical implications include a need for combinatorial therapeutic strategies that account for the discrete disease entities and their plasticity. Accordingly, the advent of single-cell technologies will be crucial in enabling the diagnosis and stratification of distinct disease subtypes down to the cellular level.

Indexed as

Biomarkers, TumorBreastBreast NeoplasmsCell LineageFemaleGene Expression Regulation, NeoplasticHumansPrognosisSingle-Cell AnalysisTriple Negative Breast NeoplasmsBiomarkers, Tumorbreast cancercancer stem cellsintratumoral heterogeneityplasticity

Identifiers

PMID29120751
PMCPMC5802368

What OpenQuestion holds

Textmetadata
LicenceTDM
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.