Evidence map›Paper›PMID 22249357›Full record

ReviewThe pharmacogenomics journal2012

Array-based pharmacogenomics of molecular-targeted therapies in oncology.

D Sanoudou, G Mountzios, D A Arvanitis, D Pectasides

Abstract readReview
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In one paragraph

Review in The pharmacogenomics journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 4 institutions in 2 countries.

D SanoudouDepartment of Pharmacology, Medical School, University of Athens, Athens, Greece. dsanoudo@enders.tch.harvard.edu
G Mountzios
D A Arvanitis
D Pectasides
Athens State University · USBiomedical Research Foundation of the Academy of Athens · GRHellenic Airforce General Hospital · GRHippocration General Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of microarrays over the past decade has transformed the way genome-wide studies are designed and conducted, leading to an unprecedented speed of acquisition and amount of new knowledge. Microarray data have led to the identification of molecular subclasses of solid tumors characterized by distinct oncogenic pathways, as well as the development of multigene prognostic or predictive models equivalent or superior to those of established clinical parameters. In the field of molecular-targeted therapy for cancer, in particular, the application of array-based methodologies has enabled the identification of molecular targets with 'key' roles in neoplastic transformation or tumor progression and the subsequent development of targeted agents, which are most likely to be active in the specific molecular setting. Herein, we present a summary of the main applications of whole-genome expression microarrays in the field of molecular-targeted therapies for solid tumors and we discuss their potential in the clinical setting. An emphasis is given on deciphering the molecular mechanisms of drug action, identifying novel therapeutic targets and suitable agents to target them with, and discovering molecular markers/signatures that predict response to therapy or optimal drug dose for each patient.

Indexed as

Economics, PharmaceuticalMolecular Targeted TherapyOligonucleotide Array Sequence AnalysisPrecision MedicineAnimalsAntineoplastic AgentsDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesErbB ReceptorsGene Expression ProfilingGenetic TestingHumansNeoplasmsPatient SelectionProtein Kinase InhibitorsProto-Oncogene Proteins c-kitAntineoplastic AgentsEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsProtein Kinase InhibitorsProto-Oncogene Proteins c-kit

Identifiers

PMID22249357
OpenAlexW2083865740

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.