Literature DB >> 34207450

Ovarian Cancer: Biomarkers and Targeted Therapy.

Mihaela Raluca Radu1, Alina Prădatu1, Florentina Duică1, Romeo Micu2, Sanda Maria Creţoiu3, Nicolae Suciu1,4,5, Dragoş Creţoiu1,3, Valentin Nicolae Varlas6,7, Viorica Elena Rădoi5,8.   

Abstract

Ovarian cancer is one of the most common causes of death in women as survival is highly dependent on the stage of the disease. Ovarian cancer is typically diagnosed in the late stage due to the fact that in the early phases is mostly asymptomatic. Genomic instability is one of the hallmarks of ovarian cancer. While ovarian cancer is stratified into different clinical subtypes, there still exists extensive genetic and progressive diversity within each subtype. Early detection of the disorder is one of the most important steps that facilitate a favorable prognosis and a good response to medical therapy for the patients. In targeted therapies, individual patients are treated by agents targeting the changes in tumor cells that help them grow, divide and spread. Currently, in gynecological malignancies, potential therapeutic targets include tumor-intrinsic signaling pathways, angiogenesis, homologous-recombination deficiency, hormone receptors, and immunologic factors. Ovarian cancer is usually diagnosed in the final stages, partially due to the absence of an effective screening strategy, although, over the times, numerous biomarkers have been studied and used to assess the status, progression, and efficacy of the drug therapy in this type of disorder.

Entities:  

Keywords:  NTRK inhibitors; PARP inhibitors; biomarkers; ncRNAs; ovarian cancer; targeted therapy

Year:  2021        PMID: 34207450     DOI: 10.3390/biomedicines9060693

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


  9 in total

1.  A Nomogram Based on SEER Database for Predicting Prognosis in Patients with Mucinous Ovarian Cancer: A Real-World Study.

Authors:  Ke Zhang; Songwei Feng; Yu Ge; Bo Ding; Yang Shen
Journal:  Int J Womens Health       Date:  2022-07-26

Review 2.  Spheroid Formation and Peritoneal Metastasis in Ovarian Cancer: The Role of Stromal and Immune Components.

Authors:  Militsa Rakina; Anna Kazakova; Alisa Villert; Larisa Kolomiets; Irina Larionova
Journal:  Int J Mol Sci       Date:  2022-06-01       Impact factor: 6.208

3.  An Integrative Analysis Revealing ZFHX4-AS1 as a Novel Prognostic Biomarker Correlated with Immune Infiltrates in Ovarian Cancer.

Authors:  Changchang Huang; Hongyin Cui; Xiaolin Lang; Fen Zhao
Journal:  J Immunol Res       Date:  2022-06-26       Impact factor: 4.493

Review 4.  High Mobility Group A1 (HMGA1): Structure, Biological Function, and Therapeutic Potential.

Authors:  Lu Wang; Ji Zhang; Min Xia; Chang Liu; Xuyu Zu; Jing Zhong
Journal:  Int J Biol Sci       Date:  2022-07-04       Impact factor: 10.750

Review 5.  Next Generation Sequencing and Molecular Biomarkers in Ovarian Cancer-An Opportunity for Targeted Therapy.

Authors:  Laura M Harbin; Holly H Gallion; Derek B Allison; Jill M Kolesar
Journal:  Diagnostics (Basel)       Date:  2022-03-29

6.  Identification of a novel nine-SnoRNA signature with potential prognostic and therapeutic value in ovarian cancer.

Authors:  Wenjing Zhu; Tao Zhang; Shaohong Luan; Qingnuan Kong; Wenmin Hu; Xin Zou; Feibo Zheng; Wei Han
Journal:  Cancer Med       Date:  2022-02-21       Impact factor: 4.711

7.  Identification and validation of a gene-based signature reveals SLC25A10 as a novel prognostic indicator for patients with ovarian cancer.

Authors:  Qi-Jia Li; Juan Wang; Jing Jiang; Bing Lin
Journal:  J Ovarian Res       Date:  2022-09-16       Impact factor: 5.506

8.  Sensitivity and specificity of microRNA-204, CA125, and CA19.9 as biomarkers for diagnosis of ovarian cancer.

Authors:  Fahmy T Ali; Reham M Soliman; Nahla S Hassan; Ahmed M Ibrahim; Mayada M El-Gizawy; Abd Allah Y Mandoh; Ehab A Ibrahim
Journal:  PLoS One       Date:  2022-08-03       Impact factor: 3.752

Review 9.  Anti-Cancer Activity of Cannabis sativa Phytocannabinoids: Molecular Mechanisms and Potential in the Fight against Ovarian Cancer and Stem Cells.

Authors:  Hinanit Koltai; Nurit Shalev
Journal:  Cancers (Basel)       Date:  2022-09-01       Impact factor: 6.575

  9 in total

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