Sodium-glucose cotransporter 2 inhibitors as potential anticancer agents

Oncological diseases are one of the leading causes of mortality in the world. Despite the intensive search for new methods to increase the efficacy and safety of antineoplastic therapy and to reduce resistance to it by malignant tumors, treatment issues still remain unresolved in clinical oncology. This review analyses experimental data on the antineoplastic effect of sodium-glucose cotransporter 2 (SGLT2) inhibitors: the reasons why SGLT2 inhibitors can be used for the treatment of malignant tumors are presented, class-specificity and dose-dependence of the antineoplastic effect of the drugs are determined. Possible mechanisms of antitumor effect of glyflozins are described in detail, among which, in addition to reduction of glucose entry into tumor cells, inhibition of Wnt/β-catenin signalling pathway, enhancement of AMP activated protein kinase activity with subsequent change of lipid profile of tumor cells and inhibition of mTOR protein kinase (mammalian target of rapamycin), disruption of DNA and RNA synthesis in malignant tumor cells, etc. play a significant role. Considerable space is devoted to the pro-oncogenic effect of SGLT2 inhibitors, previously undisputed and now disproved, as well as to the interaction of this class of antidiabetic agents with other antitumor treatment in the context of efficacy, safety and therapeutic resistance.

Authors

Institutions

Publication Details

Journal
Diabetes Mellitus
Published
2025-05-23
DOI
https://doi.org/10.14341/dm13224
Citations
1
Primary Topic
Diabetes Treatment and Management
Type
article
Field-Weighted Citation Impact
1.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sodium-glucose cotransporter 2 inhibitors as potential anticancer agents

А. С. Северина, Минара Шамхаловна Шамхалова, М. В. Шестакова, E. R. Radkevich
1 citations
Diabetes Mellitus
Diabetes Treatment and Management
1.29
article

Sodium-glucose cotransporter 2 inhibitors as potential anticancer agents

А. С. Северина, Минара Шамхаловна Шамхалова, М. В. Шестакова, E. R. Radkevich
article en
1 citations

Abstract

Oncological diseases are one of the leading causes of mortality in the world. Despite the intensive search for new methods to increase the efficacy and safety of antineoplastic therapy and to reduce resistance to it by malignant tumors, treatment issues still remain unresolved in clinical oncology. This review analyses experimental data on the antineoplastic effect of sodium-glucose cotransporter 2 (SGLT2) inhibitors: the reasons why SGLT2 inhibitors can be used for the treatment of malignant tumors are presented, class-specificity and dose-dependence of the antineoplastic effect of the drugs are determined. Possible mechanisms of antitumor effect of glyflozins are described in detail, among which, in addition to reduction of glucose entry into tumor cells, inhibition of Wnt/β-catenin signalling pathway, enhancement of AMP activated protein kinase activity with subsequent change of lipid profile of tumor cells and inhibition of mTOR protein kinase (mammalian target of rapamycin), disruption of DNA and RNA synthesis in malignant tumor cells, etc. play a significant role. Considerable space is devoted to the pro-oncogenic effect of SGLT2 inhibitors, previously undisputed and now disproved, as well as to the interaction of this class of antidiabetic agents with other antitumor treatment in the context of efficacy, safety and therapeutic resistance.

Diabetes MellitusVol. 28(2)
Endocrinology Research Center (RU)
Openalex Percentile: Top 19%
Diabetes Treatment and Management
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.