CONCORD biomarker prediction for novel drug introduction to different cancer types

Many cancer therapeutic agents have shown to be effective for treating multiple cancer types. Yet major challenges exist toward introducing a novel drug used in one cancer type to different cancer types, especially when a relatively small number of patients with the other cancer type often benefit from anti-cancer therapy with the drug. Recently, many novel agents were introduced to different cancer types together with companion biomarkers which were obtained or biologically assumed from the original cancer type. However, there is no guarantee that biomarkers from one cancer can directly predict a therapeutic response in another. To tackle this challenging question, we have developed a concordant expression biomarker-based technique ("CONCORD") that overcomes these limitations. CONCORD predicts drug responses from one cancer type to another by identifying concordantly co-expressed biomarkers across different cancer systems. Application of CONCORD to three standard chemotherapeutic agents and two targeted agents demonstrated its ability to accurately predict the effectiveness of a drug against new cancer types and predict therapeutic response in patients.

Medienart:

E-Artikel

Erscheinungsjahr:

2018

Erschienen:

2018

Enthalten in:

Zur Gesamtaufnahme - volume:9

Enthalten in:

Oncotarget - 9(2018), 1 vom: 02. Jan., Seite 1091-1106

Sprache:

Englisch

Beteiligte Personen:

Kim, Youngchul [VerfasserIn]
Dillon, Patrick M [VerfasserIn]
Park, Taesung [VerfasserIn]
Lee, Jae K [VerfasserIn]

Links:

Volltext

Themen:

Anti-cancer drug response prediction
Anticancer compound screening
Cancer cell line
Drug repositioning
Gene expression model
Journal Article

Anmerkungen:

Date Revised 30.11.2020

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.18632/oncotarget.23124

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM280760361