Evidence map›Paper›PMID 27430154›Full record

ReviewMolecular oncology2016

Metastatic breast cancer: The Odyssey of personalization.

A Sonnenblick, N Pondé, M Piccart

Abstract readReview
In one paragraph

Review in Molecular oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. EccDNA-orientedAnnals of translational medicine · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Antibody-Drug Conjugates in Breast Cancer: a Comprehensive Review.Current treatment options in oncology · 2019
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Experimental Therapy of Advanced Breast Cancer: Targeting NFAT1-MDM2-p53 Pathway.Progress in molecular biology and translational science · 2017
    Review
  13. Article
  14. 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

3 authors.

A SonnenblickDepartment of Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Boulevard de Waterloo 125, B 1000 Brussels, Belgium; Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
N PondéDepartment of Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Boulevard de Waterloo 125, B 1000 Brussels, Belgium.
M PiccartDepartment of Medicine, Institut Jules Bordet, Université Libre de Bruxelles, Boulevard de Waterloo 125, B 1000 Brussels, Belgium. Electronic address: martine.piccart@bordet.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic breast cancer is the most frequent cause of cancer death for women worldwide. In the last 15 years, a large number of new agents have entered clinical use, a result of the dramatic increase in our understanding of the molecular underpinnings of metastatic breast cancer. However, while these agents have led to better outcomes, they are also at the root cause of increasing financial pressure on healthcare systems. Moreover, decision making in an era where every year new agents are added to the therapeutic armamentarium has also become a significant challenge for medical oncologists. In the present article, we will provide an ample review on the most recent developments in the field of treatment of the different subtypes of metastatic breast cancer with a critical discussion on the slow progress made in identifying response biomarkers. New hopes in the form of ctDNA monitoring and functional imaging will be presented.

Indexed as

Precision MedicineBreast NeoplasmsDNA RepairFemaleHumansNeoplasm MetastasisNeovascularization, PathologicBiomarkersBreast cancerPrecision medicineTarget therapy

Identifiers

PMID27430154
PMCPMC5423195

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.