Minocycline as a prospective therapeutic agent for cancer and non-cancer diseases: a scoping review

Rezaei, Abedeh; Moqadami, Amin; Khalaj-Kondori, Mohammad

doi:10.1007/s00210-023-02839-1

Cited by 3 publications

(1 citation statement)

References 131 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, we speculated that the adverse events mentioned above might be related to the usage of minocycline. 23 The highest incidence of adverse events (51.43%) was reported in patients on the MMAB regimen. Metronidazole treatment may cause multiple side effects, including gastrointestinal symptoms (nausea and/or vomiting, abdominal pain, and diarrhea), 13 , 24 which were similar to those induced by minocycline.…”

Section: Discussionmentioning

confidence: 98%

The Efficacy and Safety of Minocycline‐Containing Quadruple Therapies Against Helicobacter pylori Infection: A Retrospective Cohort Study

Si,

Zhang,

Yang

et al. 2024

IDR

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 98%

The Efficacy and Safety of Minocycline‐Containing Quadruple Therapies Against Helicobacter pylori Infection: A Retrospective Cohort Study

Si,

Zhang,

Yang

et al. 2024

IDR

View full text Add to dashboard Cite

Minocycline induced apoptosis and suppressed expression of matrix metalloproteinases 2 and 9 in the breast cancer MCF-7 cells

Rezaei,

Moqadami,

Khalaj-Kondori

et al. 2024

Mol Biol Rep

View full text Add to dashboard Cite

Utilizing topological indices in QSPR modeling to identify non-cancer medications with potential anti-cancer properties: a promising strategy for drug repurposing

Yousaf,

Shahzadi

2024

Front. Chem.

View full text Add to dashboard Cite

The exploration of non-cancer medications with potential anti-cancer activity offers a promising avenue for drug repurposing, accelerating the development of new oncological therapies. This study employs Quantitative Structure-Property Relationship (QSPR) modeling to identify and predict the anti-cancer efficacy of various non-cancer drugs, utilizing topological indices as key descriptors. Topological indices, which capture the molecular structure’s geometric and topological characteristics, provide critical insights into the pharmacological interactions relevant to anti-cancer activity. By analyzing a comprehensive dataset of non-cancer medications, this research establishes robust QSPR models that correlate topological indices with anti-cancer activity. The models demonstrate significant predictive power, highlighting several non-cancer drugs with potential anti-cancer properties. Further, we will use linear, quadratic and logarithmic regression to understand the structures of anti-cancer drugs and strengthen our ability to manipulate the molecular structures. The findings underscore the utility of topological indices in drug repurposing strategies and pave the way for further experimental validation and clinical trials. This integrative approach enhances our understanding of drug action mechanisms and offers a cost-effective strategy for expanding the repertoire of anti-cancer agents.

show abstract

Minocycline as a prospective therapeutic agent for cancer and non-cancer diseases: a scoping review

Cited by 3 publications

References 131 publications

The Efficacy and Safety of Minocycline‐Containing Quadruple Therapies Against Helicobacter pylori Infection: A Retrospective Cohort Study

The Efficacy and Safety of Minocycline‐Containing Quadruple Therapies Against Helicobacter pylori Infection: A Retrospective Cohort Study

Minocycline induced apoptosis and suppressed expression of matrix metalloproteinases 2 and 9 in the breast cancer MCF-7 cells

Utilizing topological indices in QSPR modeling to identify non-cancer medications with potential anti-cancer properties: a promising strategy for drug repurposing

Contact Info

Product

Resources

About