SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:research.chalmers.se:961c93f5-4fcf-4794-b383-a98b4a3ad56a"
 

Sökning: id:"swepub:oai:research.chalmers.se:961c93f5-4fcf-4794-b383-a98b4a3ad56a" > Discovery of therap...

Discovery of therapeutic agents for prostate cancer using genome-scale metabolic modeling and drug repositioning

Turanli, Beste (författare)
KTH
Zhang, C. (författare)
KTH,Science for Life Laboratory, SciLifeLab
Kim, Woonghee (författare)
KTH,Systembiologi
visa fler...
Benfeitas, Rui (författare)
KTH,Science for Life Laboratory, SciLifeLab
Uhlén, Mathias (författare)
KTH,Science for Life Laboratory, SciLifeLab
Arga, Kazim Y. (författare)
Marmara Universitesi,Marmara University
Mardinoglu, Adil, 1982 (författare)
KTH,Science for Life Laboratory, SciLifeLab
visa färre...
 (creator_code:org_t)
Elsevier BV, 2019
2019
Engelska.
Ingår i: EBioMedicine. - : Elsevier BV. - 2352-3964. ; 42, s. 386-396
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Genome-scale metabolic models (GEMs) offer insights into cancer metabolism and have been used to identify potential biomarkers and drug targets. Drug repositioning is a time- and cost-effective method of drug discovery that can be applied together with GEMs for effective cancer treatment. Methods: In this study, we reconstruct a prostate cancer (PRAD)-specific GEM for exploring prostate cancer metabolism and also repurposing new therapeutic agents that can be used in development of effective cancer treatment. We integrate global gene expression profiling of cell lines with >1000 different drugs through the use of prostate cancer GEM and predict possible drug-gene interactions. Findings: We identify the key reactions with altered fluxes based on the gene expression changes and predict the potential drug effect in prostate cancer treatment. We find that sulfamethoxypyridazine, azlocillin, hydroflumethiazide, and ifenprodil can be repurposed for the treatment of prostate cancer based on an in silico cell viability assay. Finally, we validate the effect of ifenprodil using an in vitro cell assay and show its inhibitory effect on a prostate cancer cell line. Interpretation: Our approach demonstate how GEMs can be used to predict therapeutic agents for cancer treatment based on drug repositioning. Besides, it paved a way and shed a light on the applicability of computational models to real-world biomedical or pharmaceutical problems.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)
NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

Drug repurposing
Prostate cancer
Genome-scale metabolic models
Approved drugs
Drug repositioning

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy