Evidence map›Paper›PMID 24136009›Full record

ArticleThe oncologist2013

Pilot studies for personalized cancer medicine: focusing on the patient for treatment selection.

Leticia De Mattos-Arruda, Jordi Rodon

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Personalised Medicine: The Odyssey from Hope to Practice.Journal of personalized medicine · 2018
    Review
  4. Determining personalized treatment by gene expression profiling in metastatic breast carcinoma patients: a pilot study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. European perspective for effective cancer drug development.Nature reviews. Clinical oncology · 2014
    Review
  12. 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 1 institution in 1 country.

Leticia De Mattos-ArrudaMolecular Therapies Research Unit, Vall d'Hebron Institute of Oncology, Vall d'Hebron University Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona, Barcelona, Spain.
Jordi Rodon
Universitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in diagnostics and targeted therapies during the past decade have changed how oncology is viewed. "Stratified medicine" has emerged from the accumulated evidence garnered from matching targeted therapies with tumor molecular aberrations. Concomitantly, current knowledge derived from large-scale, massively parallel sequencing technologies and global research initiatives such as the international 1000 Genomes Project, the Cancer Genome Atlas, the International Cancer Genome Consortium, and publicly available catalogs such as the Catalogue of Somatic Mutations in Cancer and Genomics of Drug Sensitivity in Cancer have illuminated the utility of understanding the molecular basis of cancer through genome analysis. In addition, multiple collaborative efforts are widening the possibility of universally personalizing cancer care. Although several key challenges of personalized cancer medicine (PCM) need to be addressed, some pilot studies are transforming the way we analyze tumor tissue molecular aberrations, design clinical trials, and measure treatment efficacy. Taken together, these pilot studies are paving the way for clinical trials that are designed to empirically test the concept of PCM. In this paper, we describe lessons learned from the first pilot initiatives of PCM and how this knowledge is being used to design novel clinical trials.

Indexed as

Clinical Trials as TopicFemaleGenomicsHumansMaleMedical OncologyNeoplasmsPilot ProjectsPrecision MedicineGenomicsPersonalized medicinePhase I clinical trialsPilot studies

Identifiers

PMID24136009
PMCPMC3825301
OpenAlexW1997885998

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.