Evidence map›Paper›PMID 25876646›Full record

ReviewEndocrine-related cancer2015

Identifying and targeting tumor-initiating cells in the treatment of breast cancer.

Wei Wei, Michael T Lewis

Open access · bronzeAbstract readReview
In one paragraph

Review in Endocrine-related cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Visualization of Metastatic Lung Cancer with TiNIR.Tomography (Ann Arbor, Mich.) · 2023
    Article
  7. Article
  8. Article
  9. Review
  10. Dll1Nature communications · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

2 authors at 2 institutions in 1 country.

Wei WeiBaylor College of MedicineLester and Sue Smith Breast Center, Houston, Texas, USADepartments of Molecular and Cellular BiologyRadiologyBaylor College of Medicine, One Baylor Plaza, BCM600, Room N1210, Houston, Texas 77030, USA Baylor College of MedicineLester and Sue Smith Breast Center, Houston, Texas, USADepartments of Molecular and Cellular BiologyRadiologyBaylor College of Medicine, One Baylor Plaza, BCM600, Room N1210, Houston, Texas 77030, USA.
Michael T LewisBaylor College of MedicineLester and Sue Smith Breast Center, Houston, Texas, USADepartments of Molecular and Cellular BiologyRadiologyBaylor College of Medicine, One Baylor Plaza, BCM600, Room N1210, Houston, Texas 77030, USA Baylor College of MedicineLester and Sue Smith Breast Center, Houston, Texas, USADepartments of Molecular and Cellular BiologyRadiologyBaylor College of Medicine, One Baylor Plaza, BCM600, Room N1210, Houston, Texas 77030, USA Baylor College of MedicineLester and Sue Smith Breast Center, Houston, Texas, USADepartments of Molecular and Cellular BiologyRadiologyBaylor College of Medicine, One Baylor Plaza, BCM600, Room N1210, Houston, Texas 77030, USA mtlewis@bcm.edu.
Baylor College of Medicine · USBaylor University · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
The Core of the Computational BiologyU54CA149196 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2010 to 2015
$10.6M
Regulation of Mammary Stem CellsR01CA127857 · NCI · BAYLOR COLLEGE OF MEDICINE · PI LEWIS, MICHAEL T. · 2008 to 2012
$1.7M
NCI NIH HHS P30 CA125123NCI NIH HHS P30-CA125123NCI NIH HHS R01 CA127857NCI NIH HHS U54 CA149196
6 · The paper itself

Abstract

Breast cancer is the most common cancer in women (excluding skin cancer), and it is the second leading cause of cancer-related deaths. Although conventional and targeted therapies have improved survival rates, there are still considerable challenges in treating breast cancer, including treatment resistance, disease recurrence, and metastasis. Treatment resistance can be either de novo - because of traits that tumor cells possess before treatment - or acquired - because of traits that tumor cells gain in response to treatment. A recently proposed mechanism of de novo resistance invokes the existence of a specialized subset of cancer cells defined as tumor-initiating cells (TICs), or cancer stem cells (CSCs). TICs have the capacity to self-renew and to generate new tumors that consist entirely of clonally derived cell types present in the parental tumor. There are data to suggest that TICs are resistant to many conventional cancer therapies and that they can survive treatment in spite of dramatic shrinkage of the tumor. Residual TICs can then eventually regrow, which results in disease relapse. It has also been hypothesized that TIC may be responsible for metastatic disease. If these hypotheses are correct, targeting TICs may be imperative for achieving a cure. In the present review, we discuss evidence for breast TICs and their apparent resistance to conventional chemotherapy and radiotherapy as well as to various targeted therapies. We also address the potential impact of breast TIC plasticity and metastatic potential on therapeutic strategies. Finally, we describe several genes and signaling pathways that appear to be important for TIC function and may represent promising therapeutic targets.

Indexed as

AnimalsBreast NeoplasmsFemaleHumansNeoplasm Recurrence, LocalNeoplastic Stem CellsSignal Transductioncancer stem cellschemotherapyradiotherapysignaling pathways

Identifiers

PMID25876646
PMCPMC4447610
OpenAlexW2133370948

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.