Evidence map›Paper›PMID 19406210›Full record

ReviewBiochimica et biophysica acta2009

Genomic and proteomic biomarkers for cancer: a multitude of opportunities.

Michael A Tainsky

Open access · greenAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 124 citations in OpenAlex.

  1. Multiplexed Detection of Autoantibodies to Glycopeptides Using Microarray.Methods in molecular biology (Clifton, N.J.) · 2026
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  15. Quantification of plasma cell-free DNA levels in dogs with various tumors.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2019
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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

1 author at 1 institution in 1 country.

Michael A TainskyProgram in Molecular Biology and Genetics, Barbara Ann Karmanos Cancer Institute, Department of Pathology, Wayne State University School of Medicine, USA. tainskym@karmanos.org
The Barbara Ann Karmanos Cancer Institute · US

Funding

Early Detection of Breast Cancer Using Autoantibody Mar*U01CA117478 · NCI · WAYNE STATE UNIVERSITY · PI TAINSKY, MICHAEL A · 2005 to 2009
$3.3M
Markers for the Early Detection of Ovarian CancerR33CA100740 · NCI · WAYNE STATE UNIVERSITY · PI TAINSKY, MICHAEL A · 2005 to 2007
$1.4M
Markers for the Early Detection of Ovarian CancerR21CA100740 · NCI · WAYNE STATE UNIVERSITY · PI TAINSKY, MICHAEL A · 2003 to 2003
$151k
NCI NIH HHS R21 CA100740NCI NIH HHS R21/R33-CA100740NCI NIH HHS R33 CA100740NCI NIH HHS U01 CA117478PHS HHS U01-117748
6 · The paper itself

Abstract

Biomarkers are molecular indicators of a biological status, and as biochemical species can be assayed to evaluate the presence of cancer and therapeutic interventions. Through a variety of mechanisms cancer cells provide the biomarker material for their own detection. Biomarkers may be detectable in the blood, other body fluids, or tissues. The expectation is that the level of an informative biomarker is related to the specific type of disease present in the body. Biomarkers have potential both as diagnostic indicators and monitors of the effectiveness of clinical interventions. Biomarkers are also able to stratify cancer patients to the most appropriate treatment. Effective biomarkers for the early detection of cancer should provide a patient with a better outcome which in turn will translate into more efficient delivery of healthcare. Technologies for the early detection of cancer have resulted in reductions in disease-associated mortalities from cancers that are otherwise deadly if allowed to progress. Such screening technologies have proven that early detection will decrease the morbidity and mortality from cancer. An emerging theme in biomarker research is the expectation that panels of biomarker analytes rather than single markers will be needed to have sufficient sensitivity and specificity for the presymptomatic detection of cancer. Biomarkers may provide prognostic information of disease enabling interventions using targeted therapeutic agents as well as course-corrections in cancer treatment. Novel genomic, proteomic and metabolomic technologies are being used to discover and validate tumor biomarkers individually and in panels.

Indexed as

GenomicsProteomicsAnimalsAutoantibodiesBiomarkers, TumorEarly Detection of CancerEpigenesis, GeneticGene Expression ProfilingHumansMass SpectrometryMicroRNAsNeoplasm ProteinsNeoplasm Recurrence, LocalNeoplasmsSequence Analysis, DNATranslocation, GeneticAutoantibodiesBiomarkers, TumorMicroRNAsNeoplasm Proteins

Identifiers

PMID19406210
PMCPMC2752479
OpenAlexW2000671339

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.