1331 PHENFORMIN INDUCES METABOLIC SHIFT OF PROSTATE CANCER CELLS TOWARDS UTILIZATION OF FATTY ACID METABOLISM

2013 ◽  
Vol 189 (4S) ◽  
Author(s):  
M. Minhaj Siddiqui ◽  
Hong Truong ◽  
Carole Sourbier ◽  
Jane B. Trepel ◽  
Peter Pinto ◽  
...  
Neoplasia ◽  
2019 ◽  
Vol 21 (7) ◽  
pp. 713-720 ◽  
Author(s):  
Harri M. Itkonen ◽  
Ninu Poulose ◽  
Suzanne Walker ◽  
Ian G. Mills

The Prostate ◽  
2007 ◽  
Vol 67 (10) ◽  
pp. 1111-1120 ◽  
Author(s):  
Lucy J. Schmidt ◽  
Karla V. Ballman ◽  
Donald J. Tindall

2016 ◽  
Vol 24 (2) ◽  
pp. 311-323 ◽  
Author(s):  
Cyril Corbet ◽  
Adán Pinto ◽  
Ruben Martherus ◽  
João Pedro Santiago de Jesus ◽  
Florence Polet ◽  
...  

2007 ◽  
Vol 109 (3) ◽  
pp. 471-479 ◽  
Author(s):  
Teresa Puig ◽  
Alejandro Vázquez-Martín ◽  
Joana Relat ◽  
Jordi Pétriz ◽  
Javier A. Menéndez ◽  
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2019 ◽  
Vol 10 (3-4) ◽  
pp. 80-96 ◽  
Author(s):  
Waseem Al-Jameel ◽  
Xiaojun Gou ◽  
Xi Jin ◽  
Jiacheng Zhang ◽  
Qiang Wei ◽  
...  

2021 ◽  
Author(s):  
Yuanyuan An ◽  
Hua Duan

Abstract Introduction: Dysregulation of fatty acid metabolism often occurs in tumor, which mainly constitutes of fatty acid synthesis and oxidation. In recent years, studies found that fatty acid metabolism participated in regulation of tumor immune microenvironment, which further influenced the progress of cancer. Thus, it is important to explore the key fatty acid metabolism-related molecules, which not only affects the prognosis of ovarian cancer, but also shows a close correlation with immune microenvironment of cancer.Methods: Database from TCGA was used to explore the fatty acid metabolism-related molecules, which correlated with the prognosis of ovarian cancer using univariate and multivariate cox proportional regression model. Nomogram was constructed to predict the prognostic probability based on ACSM3 and clinicopathological parameters. GDSC database was used to investigate the chemosensitivity of ovarian cancer cells. The correlation between ACSM3 and immune status of ovarian cancer was analyzed by TIMER and TISIDB online tools. In addition, CCK8 assay was used to investigate the chemosensitivity of ovarian cancer cells, real time-PCR and western blot were used to investigate the expression of chemoresistance-related genes.Results: ACSM3 worked as an independent favorable prognostic molecule through univariate and multivariate cox regression analysis. For the use in clinical, nomogram was constructed, and higher expression of ACSM3 showed better prognosis. We found that ACSM3 could regulate PI3K/AKT signaling, and GDSC database showed that PI3K/AKT inhibitor could promote the chemosensitivity of ovarian cancer cells. In addition, the expression of ACSM3 showed significantly correlated with the immune status of ovarian cancer. In vitro experiments showed that ACSM3 can promote the chemosensitivity of ovarian cancer cells by inhibiting PI3K/AKT signaling pathway.Conclusion: Our results showed that ACSM3 acted as a favorable prognostic-related biomarker for ovarian cancer, which could promote chemosensitivity of ovarian cancer through inhibiting PI3K/AKT signaling pathway. This might be due to participate in regulating immune status of ovarian cancer microenvironment.


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