Ketogenic Diet in the Treatment of Gliomas and Glioblastomas.
Simone Dal BelloFrancesca ValdemarinDeborah MartinuzziFrancesca FilippiGian Luigi GigliMariarosaria ValentePublished in: Nutrients (2022)
In recent years, scientific interest in the use of the ketogenic diet (KD) as a complementary approach to the standard cancer therapy has grown, in particular against those of the central nervous system (CNS). In metabolic terms, there are the following differences between healthy and neoplastic cells: neoplastic cells divert their metabolism to anaerobic glycolysis (Warburg effect), they alter the normal mitochondrial functioning, and they use mainly certain amino acids for their own metabolic needs, to gain an advantage over healthy cells and to lead to a pro-oncogenetic effect. Several works in literature speculate which are the molecular targets of KD used against cancer. The following different mechanisms of action will be explored in this review: metabolic, inflammatory, oncogenic and oncosuppressive, ROS, and epigenetic modulation. Preclinical and clinical studies on the use of KD in CNS tumors have also increased in recent years. An interesting hypothesis emerged from the studies about the possible use of a ketogenic diet as a combination therapy along with chemotherapy (CT) and radiotherapy (RT) for the treatment of cancer. Currently, however, clinical data are still very limited but encouraging, so we need further studies to definitively validate or disprove the role of KD in fighting against cancer.
Keyphrases
- induced apoptosis
- combination therapy
- papillary thyroid
- cell cycle arrest
- physical activity
- weight loss
- squamous cell
- cancer therapy
- early stage
- endoplasmic reticulum stress
- systematic review
- computed tomography
- stem cells
- squamous cell carcinoma
- gene expression
- lymph node metastasis
- signaling pathway
- transcription factor
- high grade
- machine learning
- cell proliferation
- reactive oxygen species
- young adults
- single molecule
- deep learning
- mesenchymal stem cells
- radiation induced
- risk assessment
- image quality
- cerebrospinal fluid
- artificial intelligence
- data analysis
- chemotherapy induced