Evidence map›Paper›PMID 26196250›Full record

ReviewNature reviews. Clinical oncology2015

Precision medicine for metastatic breast cancer--limitations and solutions.

Monica Arnedos, Cecile Vicier, Sherene Loi, Celine Lefebvre, Stefan Michiels, Herve Bonnefoi, Fabrice Andre

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 2 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

160 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Observational
  8. Article
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  15. Article
  16. Impact of Nanomedicine in Women's Metastatic Breast Cancer.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  17. Article
  18. Review
  19. Article
  20. Review

100 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

7 authors.

Monica ArnedosDepartment of Medical Oncology, Gustave Roussy and Université Paris Sud, 94800 Villejuif, France.
Cecile VicierINSERM Unit U981, Gustave Roussy and Université Paris Sud, 94800 Villejuif, France.
Sherene LoiDivision of Research and Cancer Medicine, Peter MacCallum Cancer Centre, University of Melbourne, East Melbourne, VIC 3002, Australia.
Celine LefebvreINSERM Unit U981, Gustave Roussy and Université Paris Sud, 94800 Villejuif, France.
Stefan MichielsDepartment of Biostatistics and Epidemiology, Gustave Roussy and Université Paris Sud, 94800 Villejuif, France.
Herve BonnefoiDepartment of Medical Oncology and INSERM U916, Institut Bergonié, 229 Cours de l'Argonne, 33000, Bordeaux, France.
Fabrice AndreDepartment of Medical Oncology, Gustave Roussy and Université Paris Sud, 94800 Villejuif, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of precision medicine for the management of metastatic breast cancer is an appealing concept; however, major scientific and logistical challenges hinder its implementation in the clinic. The identification of driver mutational events remains the biggest challenge, because, with the few exceptions of ER, HER2, PIK3CA and AKT1, no validated oncogenic drivers of breast cancer exist. The development of bioinformatic tools to help identify driver mutations, together with assessment of pathway activation and dependency should help resolve this issue in the future. The occurrence of secondary resistance, such as ESR1 mutations, following endocrine therapy poses a further challenge. Ultra-deep sequencing and monitoring of circulating tumour DNA (ctDNA) could permit early detection of the genetic events underlying resistance and inform on combination therapy approaches. Beside these scientific challenges, logistical and operational issues are a major limitation to the development of precision medicine. For example, the low incidence of most candidate genomic alterations hinders randomized trials, as the number of patients to be screened would be too high. We discuss these limitations and the solutions, which include scaling-up the number of patients screened for identifying a genomic alteration, the clustering of genomic alterations into pathways, and the development of personalized medicine trials.

Indexed as

Breast NeoplasmsFemaleGenomicsHumansNeoplasm MetastasisPrecision Medicine

Identifiers

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.