A hypothetical method for controlling highly glycolytic cancers and metastases
Autor: | Edward Henry Mathews, George E. Mathews, Albertus Abram Meyer |
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Rok vydání: | 2018 |
Předmět: |
0301 basic medicine
Blood Glucose medicine.medical_treatment Glutamine Hypoglycemia Deoxyglucose 03 medical and health sciences 0302 clinical medicine Downregulation and upregulation In vivo Neoplasms medicine Humans Hypoglycemic Agents Insulin Neoplasm Metastasis Cell Proliferation business.industry Cancer General Medicine Models Theoretical medicine.disease 030104 developmental biology Somatostatin 030220 oncology & carcinogenesis Cerebrovascular Circulation Cancer cell Toxicity Cancer research business Diet Ketogenic Glycolysis |
Zdroj: | Medical hypotheses. 118 |
ISSN: | 1532-2777 |
Popis: | Most proliferating cancer cells and cancer-associated tumor stroma have an upregulated glucose energy demand in relation to normal cells. Cancer cells are further less metabolically flexible than normal cells. They can therefore not survive metabolic stress as well as normal cells can. Metabolic deprivation thus provides a potential therapeutic window. Unfortunately, current glucose blockers have toxicity problems. An alternative way to reduce a cancer patient’s blood glucose (BG), for a short-term period to very low levels, without the concomitant toxicity, is hypothesized in this paper. In vitro tests have shown that short-term BG deprivation to 2 mmol/L for 180 min is an effective cancer treatment. This level of hypoglycaemia can be maintained in vivo with a combination of very low-dose insulin and the suppression of the glucose counter-regulation system. Such suppression can be safely achieved by the infusion of somatostatin and a combination of both α and β-blockers. The proposed short-term in vivo method, was shown to be non-toxic and safe for non-cancer patients. The next step is to test the effect of the proposed method on cancer patients. It is also suggested to incorporate well-known, long-term BG deprivation treatments to achieve maximum effect. |
Databáze: | OpenAIRE |
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