Evidence map›Paper›PMID 21950596›Full record

ReviewClinical chemistry and laboratory medicine2011

Recent progress and clinical importance on pharmacogenetics in cancer therapy.

Thomas I Peng Soh, Wei Peng Yong, Federico Innocenti

Abstract readReview
In one paragraph

Review in Clinical chemistry and laboratory medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Thomas I Peng SohDepartment of Hematology-Oncology, National University Cancer Institute, Singapore.
Wei Peng Yong
Federico Innocenti

Funding

Genome-Wide molecular epidemiology of treatment outcome and cancer riskK07CA140390 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI INNOCENTI, FEDERICO · 2009 to 2013
$648k
NCI NIH HHS K07 CA140390
6 · The paper itself

Abstract

Recent advances have provided unprecedented opportunities to identify prognostic and predictive markers of efficacy of cancer therapy. Genetic markers can be used to exclude patients who will not benefit from therapy, exclude patients at high risk of severe toxicity and adjust dosing. Genomic approaches for marker discovery now include genome-wide association studies and tumor DNA sequencing. The challenge is now to select markers for which there is enough evidence to transition them to the clinic. The hurdles include the inherent low frequency of many of these markers, the lengthy validation process through trials, as well as legislative and economic hurdles. Attempts to answer questions about certain markers more quickly have led to an increased popularity of trials with enrichment design, especially in light of the dramatic phase I results seen in recent months. Personalized medicine in oncology is a step closer to reality.

Indexed as

Biomarkers, TumorNeoplasmsAntineoplastic AgentsHumansPharmacogeneticsPredictive Value of TestsPrognosisAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID21950596
PMCPMC3858908

What OpenQuestion holds

Textmetadata
LicenceTDM
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.