About: Genomic and proteomic approaches for studying human cancer: Prospects for true patient-tailored therapy

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About: Genomic and proteomic approaches for studying human cancer: Prospects for true patient-tailored therapy Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Genomic and proteomic approaches for studying human cancer: Prospects for true patient-tailored therapy
Creator	Rosenblatt, Kevin Petricoin, Emanuel Carr, Kristen Liotta, Lance
source	Medline; PMC
abstract	Global gene expression analysis is beginning to move from the laboratories of basic investigators to large-scale clinical trials. The potential of this technology to improve diagnosis and tailored treatment of human disease may soon be realised, now that several comprehensive studies have demonstrated the utility of gene expression profiles for the classification of tumours into distinct, clinically relevant subtypes and the prediction of clinical outcomes. In addition, new data from the emerging proteomics platforms add another layer of molecular information to the study of human disease, as scientists attempt to catalogue a complete inventory of the proteins encoded by the genome and to establish a 'biosignature' profile of human health and disease. As a result, it is anticipated that, together, these technologies will facilitate the comprehensive study of genes, gene products and signalling pathways so that the objective of personalised molecular medicine can be achieved. This paper will review the studies that best demonstrate how genomics and proteomics technologies can be used to improve cancer diagnosis and treatment it will specifically highlight the important work being incorporated into clinical trials.
has issue date	2004-01-01(xsd:dateTime)
bibo:doi	10.1186/1479-7364-1-2-134
bibo:pmid	15601541
has license	no-cc
sha1sum (hex)	9695a8fb288be9ef014dbaf030498d3c7ce0fc81
schema:url	https://doi.org/10.1186/1479-7364-1-2-134
resource representing a document's title	Genomic and proteomic approaches for studying human cancer: Prospects for true patient-tailored therapy
has PubMed Central identifier	PMC3525069
has PubMed identifier	15601541
schema:publication	Hum Genomics
resource representing a document's body	covid:9695a8fb288be9ef014dbaf030498d3c7ce0fc81#body_text
is schema:about of	named entity 'THERAPY' named entity 'result' named entity 'biosignature' named entity 'proteomics' named entity 'therapy' »more»

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