Evidence map›Paper›PMID 22483534›Full record

ReviewMolecular oncology2012

The challenge to bring personalized cancer medicine from clinical trials into routine clinical practice: the case of the Institut Gustave Roussy.

Monica Arnedos, Fabrice André, Françoise Farace, Ludovic Lacroix, Benjamin Besse, Caroline Robert, Jean Charles Soria, Alexander M M Eggermont

Abstract readReview
In one paragraph

Review in Molecular oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Targeting the undruggable: immunotherapy meets personalized oncology in the genomic era.Annals of oncology : official journal of the European Society for Medical Oncology · 2015
    Review
  3. New strategies in personalized medicine for solid tumors: molecular markers and clinical trial designs.Clinical cancer research : an official journal of the American Association for Cancer Research · 2014
    Article
  4. Review
  5. Review
  6. 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

8 authors.

Monica ArnedosDepartment of Medical Oncology, Institut de Cancerologie Gustave Roussy, 94805 Villejuif, France.
Fabrice André
Françoise Farace
Ludovic Lacroix
Benjamin Besse
Caroline Robert
Jean Charles Soria
Alexander M M Eggermont

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research with high throughput technologies has propitiated the segmentation of different types of tumors into very small subgroups characterized by the presence of very rare molecular alterations. The identification of these subgroups and the apparition of new agents targeting these infrequent alterations are already affecting the way in which clinical trials are being conducted with an increased need to identify those patients harboring specific molecular alterations. In this review we describe some of the currently ongoing and future studies at the Institut Gustave Roussy that aim for the identification of potential therapeutic targets for cancer patients with the incorporation of high throughput technologies into daily practice including aCGH, next generation sequencing and the creation of a software that allows for target identification specific for each tumor. The initial intention is to enrich clinical trials with cancer patients carrying certain molecular alterations in order to increase the possibility of demonstrating benefit from a targeted agent. Mid and long term aims are to facilitate and speed up the process of drug development as well as to implement the concept of personalized medicine.

Indexed as

Clinical Trials as TopicPrecision MedicineHumansNeoplasmsNeoplastic Cells, Circulating

Identifiers

PMID22483534
PMCPMC5528360

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.