Evidence map›Paper›PMID 22653217›Full record

ReviewNature reviews. Drug discovery2012

Strategies for the discovery and development of therapies for metastatic breast cancer.

Bedrich L Eckhardt, Prudence A Francis, Belinda S Parker, Robin L Anderson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers.

0numbers the graph read from it
0cells of the map it votes in
152citing 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

152 citing papers in PubMed.

  1. Trial
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  11. Review
  12. Impact of Nanomedicine in Women's Metastatic Breast Cancer.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Engineering Heterogeneous Tumor Models for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  19. Article
  20. Article

92 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

4 authors.

Bedrich L EckhardtDepartment of Breast Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.
Prudence A Francis
Belinda S Parker
Robin L Anderson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nearly all deaths caused by solid cancers occur as a result of metastasis--the formation of secondary tumours in distant organs such as the lungs, liver, brain and bone. A major obstruction to the development of drugs with anti-metastatic efficacy is our fragmented understanding of how tumours 'evolve' and metastasize, at both the biological and genetic levels. Furthermore, although there is significant overlap in the metastatic process among different types of cancer, there are also marked differences in the propensity to metastasize, the extent of metastasis, the sites to which the tumour metastasizes, the kinetics of the process and the mechanisms involved. Here, we consider the case of breast cancer, which has some marked distinguishing features compared with other types of cancer. Considerable progress has been made in the development of preclinical models and in the identification of relevant signalling pathways and genetic regulators of metastatic breast cancer, and we discuss how these might facilitate the development of novel targeted anti-metastatic drugs.

Indexed as

AnimalsAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsDisease Models, AnimalDisease ProgressionDrug Delivery SystemsDrug DiscoveryFemaleHumansMammary Neoplasms, AnimalNeoplasm MetastasisAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID22653217

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.