personalized medicine decision

Povzetek

Colorectal cancer (CRC) is one of the most common types of cancer in the world. Metastatic disease is still incurable in most of these patients, but the survival rate has improved by treatment with novel systemic chemotherapy and targeted therapy in combination with surgery. New knowledge of its complex heterogeneity in terms of genetics, epigenetics, transcriptomics and microenvironment, including prognostic and clinical characteristics, led to its classification into various molecular subtypes of metastatic CRC, called consensus molecular subtypes (CMS). The CMS classification thus enables the medical oncologists to adjust the treatment from case to case. They can determine which type of systemic chemotherapy or targeted therapy is best suited to a specific patient, what dosages are needed and in what order. Conclusions. CMS in metastatic CRC are the new tool to include the knowledge of molecular factors, tumour stroma and signalling pathways for personalized, patient-orientated systemic treatment in precision medicine.

Ključne besede

metastatic colorectal cancer;heterogeneity;biomarkers;consensus molecular subtype;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.02 - Pregledni znanstveni članek
Organizacija: OI - Onkološki inštitut Ljubljana
Založnik: Association of Radiology and Oncology
UDK: 616.3
COBISS: 14125315 Povezava se bo odprla v novem oknu
ISSN: 1318-2099
Št. ogledov: 17
Št. prenosov: 6
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarni naslov: Consensus molecular subtypes (CMS) in metastatic colorectal cancer - personalized medicine decision
Sekundarne ključne besede: metastatski kolorektalni rak;heterogenost;biološki označevalci;molekularni podtipi;
Strani: str. 272-277, II
Letnik: ǂVol. ǂ54
Zvezek: ǂno. ǂ3
Čas izdaje: 2020
DOI: 10.2478/raon-2020-0031
ID: 24512682
Priporočena dela:
, ǂa ǂnovel tool facilitating personalized medicine and pharmacogenomics in oncology
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