Journal
JOURNAL OF CLINICAL MEDICINE
Volume 9, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/jcm9124128
Keywords
PDAC; pancreatic cancer; glycolysis; lipid metabolism; classification; stratification
Categories
Funding
- Instituto de Salud Carlos III through the Miguel Servet Program [CP16/00121]
- Fondo de Investigaciones Sanitarias [PI17/00082]
- European funds (FSE: El FSE invierte en tu futuro)
- FEDER
- Worldwide Cancer Research Charity
- Fundacion Cientifica Asociacion Espanola contra el Cancer (FCAECC) [19-0250]
Ask authors/readers for more resources
Pancreatic ductal adenocarcinoma (PDAC), the most common form of pancreatic cancer, is an extremely lethal disease due to late diagnosis, aggressiveness and lack of effective therapies. Considering its intrinsic heterogeneity, patient stratification models based on transcriptomic and genomic signatures, with partially overlapping subgroups, have been established. Besides molecular alterations, PDAC tumours show a strong desmoplastic response, resulting in profound metabolic reprogramming involving increased glucose and amino acid consumption, as well as lipid scavenging and biosynthesis. Interestingly, recent works have also revealed the existence of metabolic subtypes with differential prognosis within PDAC, which correlated to defined molecular subclasses in patients: lipogenic subtype correlated with a classical/progenitor signature, while glycolytic tumours associated with the highly aggressive basal/squamous profile. Bioinformatic analyses have demonstrated that the representative genes of each metabolic subtype are up-regulated in PDAC samples and predict patient survival. This suggests a relationship between the genetic signature, metabolic profile, and aggressiveness of the tumour. Considering all this, defining metabolic subtypes represents a clear opportunity for patient stratification considering tumour functional behaviour independently of their mutational background.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available