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Improvement in the Current Therapies for Hepatocellular Carcinoma Using a Systems Medicine Approach

Ozcan, Mehmet (författare)
KTH,Science for Life Laboratory, SciLifeLab,Hacettepe University, Ankara, 06100, Turkey
Altay, Özlem (författare)
KTH,Science for Life Laboratory, SciLifeLab
Lam, S. (författare)
King's College London
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Turkez, H. (författare)
Atatürk Üniversitesi,Atatürk University
Aksoy, Y. (författare)
Hacettepe Üniversitesi,Hacettepe University
Nielsen, Jens B, 1962 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Uhlén, Mathias (författare)
KTH,Science for Life Laboratory, SciLifeLab
Borén, Jan, 1963 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,University of Gothenburg
Mardinoglu, Adil, 1982 (författare)
KTH,Science for Life Laboratory, SciLifeLab,Craniofacial Sciences, King’s College London, London
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 (creator_code:org_t)
2020-04-08
2020
Engelska.
Ingår i: Advanced Biosystems. - : Wiley. - 2366-7478. ; 4:6
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death primarily due to the lack of effective targeted therapies. Despite the distinct morphological and phenotypic patterns of HCC, treatment strategies are restricted to relatively homogeneous therapies, including multitargeted tyrosine kinase inhibitors and immune checkpoint inhibitors. Therefore, more effective therapy options are needed to target dysregulated metabolic and molecular pathways in HCC. Integrative genomic profiling of HCC patients provides insight into the most frequently mutated genes and molecular targets, including telomerase reverse transcriptase, the TP53 gene, and the Wnt/β-catenin signaling pathway oncogene (CTNNB1). Moreover, emerging techniques, such as genome-scale metabolic models may elucidate the underlying cancer-specific metabolism, which allows for the discovery of potential drug targets and identification of biomarkers. De novo lipogenesis has been revealed as consistently upregulated since it is required for cell proliferation in all HCC patients. The metabolic network-driven stratification of HCC patients in terms of redox responses, utilization of metabolites, and subtype-specific pathways may have clinical implications to drive the development of personalized medicine. In this review, the current and emerging therapeutic targets in light of molecular approaches and metabolic network-based strategies are summarized, prompting effective treatment of HCC patients. © 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Hematologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Hematology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Medicinsk genetik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Medical Genetics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

genome scale metabolic models
hepatocellular carcinoma
molecular‑targeted therapies
network-driven stratification
systemic therapies
Amino acids
Cell proliferation
Diseases
Genes
Metabolism
Metabolites
Personalized medicine
Genome scale metabolic model
Molecular approach
Molecular pathways
Potential drug targets
Telomerase reverse transcriptase
Therapeutic targets
Tyrosine kinase inhibitor
Patient treatment
hepatocellular carcinoma

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