Comprehensive live-cell imaging analysis of cryptotanshinone and synergistic drug-screening effects in various human and canine cancer cell lines.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 26 06 2020
accepted: 01 12 2020
entrez: 5 2 2021
pubmed: 6 2 2021
medline: 9 7 2021
Statut: epublish

Résumé

Several studies have highlighted both the extreme anticancer effects of Cryptotanshinone (CT), a Stat3 crippling component from Salvia miltiorrhiza, as well as other STAT3 inhibitors to fight cancer. Data presented in this experiment incorporates 2 years of in vitro studies applying a comprehensive live-cell drug-screening analysis of human and canine cancer cells exposed to CT at 20 μM concentration, as well as to other drug combinations. As previously observed in other studies, dogs are natural cancer models, given to their similarity in cancer genetics, epidemiology and disease progression compared to humans. Results obtained from several types of human and canine cancer cells exposed to CT and varied drug combinations, verified CT efficacy at combating cancer by achieving an extremely high percentage of apoptosis within 24 hours of drug exposure. CT anticancer efficacy in various human and canine cancer cell lines denotes its ability to interact across different biological processes and cancer regulatory cell networks, driving inhibition of cancer cell survival.

Sections du résumé

BACKGROUND
Several studies have highlighted both the extreme anticancer effects of Cryptotanshinone (CT), a Stat3 crippling component from Salvia miltiorrhiza, as well as other STAT3 inhibitors to fight cancer.
METHODS
Data presented in this experiment incorporates 2 years of in vitro studies applying a comprehensive live-cell drug-screening analysis of human and canine cancer cells exposed to CT at 20 μM concentration, as well as to other drug combinations. As previously observed in other studies, dogs are natural cancer models, given to their similarity in cancer genetics, epidemiology and disease progression compared to humans.
RESULTS
Results obtained from several types of human and canine cancer cells exposed to CT and varied drug combinations, verified CT efficacy at combating cancer by achieving an extremely high percentage of apoptosis within 24 hours of drug exposure.
CONCLUSIONS
CT anticancer efficacy in various human and canine cancer cell lines denotes its ability to interact across different biological processes and cancer regulatory cell networks, driving inhibition of cancer cell survival.

Identifiants

pubmed: 33544704
doi: 10.1371/journal.pone.0236074
pii: PONE-D-20-19784
pmc: PMC7864433
doi:

Substances chimiques

Phenanthrenes 0
STAT3 Transcription Factor 0
STAT3 protein, human 0
cryptotanshinone 5E9SXT166N

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0236074

Déclaration de conflit d'intérêts

The authors have declared no competing interests exist.

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Auteurs

Michael L Bittner (ML)

Center for Bioinformatics and Genomic Systems Engineering, Texas A&M Engineering Experiment Station, Texas A&M University, College Station, TX, United States of America.
Translational Genomics Research Institute, Phoenix, AZ, United States of America.

Rosana Lopes (R)

Center for Bioinformatics and Genomic Systems Engineering, Texas A&M Engineering Experiment Station, Texas A&M University, College Station, TX, United States of America.

Jianping Hua (J)

Center for Bioinformatics and Genomic Systems Engineering, Texas A&M Engineering Experiment Station, Texas A&M University, College Station, TX, United States of America.

Chao Sima (C)

Center for Bioinformatics and Genomic Systems Engineering, Texas A&M Engineering Experiment Station, Texas A&M University, College Station, TX, United States of America.

Aniruddha Datta (A)

Center for Bioinformatics and Genomic Systems Engineering, Texas A&M Engineering Experiment Station, Texas A&M University, College Station, TX, United States of America.

Heather Wilson-Robles (H)

College of Veterinary Medicine, Texas A&M University, College Station, TX, United States of America.

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Classifications MeSH