Literature DB >> 33670664

BECN1 and BRCA1 Deficiency Sensitizes Ovarian Cancer to Platinum Therapy and Confers Better Prognosis.

Amreen Salwa1, Alessandra Ferraresi1, Menaka Chinthakindi1, Letizia Vallino1, Chiara Vidoni1, Danny N Dhanasekaran2, Ciro Isidoro1.   

Abstract

BACKGROUND: BRCA1, BECN1 and TP53 are three tumor suppressor genes located on chromosome 17 and frequently found deleted, silenced, or mutated in many cancers. These genes are involved in autophagy, apoptosis, and drug resistance in ovarian cancer. Haploinsufficiency or loss-of-function of either TP53, BRCA1 or BECN1 correlates with enhanced predisposition to cancer development and progression, and chemoresistance. Expectedly, the combined altered expression of these three tumor suppressor genes worsens the prognosis of ovarian cancer patients. However, whether such a genotypic pattern indeed affects the chemo-responsiveness to standard chemotherapy thus worsening patients' survival has not been validated in a large cohort of ovarian cancer patients. AIM: We interrogated datasets from the TCGA database to analyze how the expression of these three tumor suppressor genes impacts on the clinical response to platinum-based chemotherapy thus affecting the survival of ovarian cancer patients. RESULTS AND
CONCLUSION: Compared to EOC with homozygous expression of BECN1 and BRCA1, tumors expressing low mRNA expression of these two tumor suppressor genes (either because of shallow (monoallelic) co-deletion or of promoter hypermethylation), showed higher sensitivity to platinum-based therapies and were associated with a better prognosis of ovarian cancer-bearing patients. This outcome was independent of TP53 status, though it was statistically more significant in the cohort of patients with mutated TP53. Thus, sensitivity to platinum therapy (and probably to other chemotherapeutics) correlates with low expression of a combination of critical tumor suppressor genes. Our study highlights the importance of thoroughly assessing the genetic lesions of the most frequently mutated genes to stratify the patients in view of a personalized therapy. More importantly, the present findings suggest that targeting the function of both BECN1 and BRCA1 could be a strategy to restore chemosensitivity in refractory tumors.

Entities:  

Keywords:  apoptosis; autophagy; chemoresistance; epigenetics; genome sequencing; ovarian cancer; personalized medicine; prognosis; tumor suppressor genes

Year:  2021        PMID: 33670664     DOI: 10.3390/biomedicines9020207

Source DB:  PubMed          Journal:  Biomedicines        ISSN: 2227-9059


  7 in total

1.  High Expression of the Lysosomal Protease Cathepsin D Confers Better Prognosis in Neuroblastoma Patients by Contrasting EGF-Induced Neuroblastoma Cell Growth.

Authors:  Eleonora Secomandi; Amreen Salwa; Chiara Vidoni; Alessandra Ferraresi; Carlo Follo; Ciro Isidoro
Journal:  Int J Mol Sci       Date:  2022-04-26       Impact factor: 6.208

2.  Butyrate Inhibits Colorectal Cancer Cell Proliferation through Autophagy Degradation of β-Catenin Regardless of APC and β-Catenin Mutational Status.

Authors:  Beatrice Garavaglia; Letizia Vallino; Alessandra Ferraresi; Andrea Esposito; Amreen Salwa; Chiara Vidoni; Sergio Gentilli; Ciro Isidoro
Journal:  Biomedicines       Date:  2022-05-13

3.  Clinical significance of metabolism-related genes and FAK activity in ovarian high-grade serous carcinoma.

Authors:  Masakazu Sato; Sho Sato; Daisuke Shintani; Mieko Hanaoka; Aiko Ogasawara; Maiko Miwa; Akira Yabuno; Akira Kurosaki; Hiroyuki Yoshida; Keiichi Fujiwara; Kosei Hasegawa
Journal:  BMC Cancer       Date:  2022-01-13       Impact factor: 4.430

4.  Resveratrol Contrasts LPA-Induced Ovarian Cancer Cell Migration and Platinum Resistance by Rescuing Hedgehog-Mediated Autophagy.

Authors:  Alessandra Ferraresi; Andrea Esposito; Carlo Girone; Letizia Vallino; Amreen Salwa; Ian Ghezzi; Suyanee Thongchot; Chiara Vidoni; Danny N Dhanasekaran; Ciro Isidoro
Journal:  Cells       Date:  2021-11-17       Impact factor: 6.600

5.  Glycosylation-Related Genes Predict the Prognosis and Immune Fraction of Ovarian Cancer Patients Based on Weighted Gene Coexpression Network Analysis (WGCNA) and Machine Learning.

Authors:  Chen Zhao; Kewei Xiong; Fangrui Zhao; Abdalla Adam; Xiangpan Li
Journal:  Oxid Med Cell Longev       Date:  2022-03-04       Impact factor: 6.543

6.  Isolation, Characterization, and Autophagy Function of BECN1-Splicing Isoforms in Cancer Cells.

Authors:  Chinmay Maheshwari; Chiara Vidoni; Rossella Titone; Andrea Castiglioni; Claudia Lora; Carlo Follo; Ciro Isidoro
Journal:  Biomolecules       Date:  2022-08-02

Review 7.  AMBRA1 and its role as a target for anticancer therapy.

Authors:  Xiang Li; Yuan Lyu; Junqi Li; Xinjun Wang
Journal:  Front Oncol       Date:  2022-09-27       Impact factor: 5.738

  7 in total

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