Literature DB >> 32606233

Ovarian Cancer: An Overview.

Steven M Penny.   

Abstract

Ovarian cancer currently is the fifth leading cause of cancer-related deaths among women in the United States, and approximately 140 000 women die globally per year of ovarian cancer. This debilitating disease presents subtly, and when it is diagnosed, treatment options often are limited. To provide care that is most favorable for the patient, health care professionals must have a basic understanding of the signs and symptoms of ovarian cancer and the imaging tools and treatment options available. This article provides a succinct overview of ovarian cancer, including diagnostic imaging.
© 2020 American Society of Radiologic Technologists.

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Year:  2020        PMID: 32606233

Source DB:  PubMed          Journal:  Radiol Technol        ISSN: 0033-8397


  6 in total

1.  Identification of core genes for early diagnosis and the EMT modulation of ovarian serous cancer by bioinformatics perspective.

Authors:  Yanna Zhang; Xun Wang; Xiancheng Chen
Journal:  Aging (Albany NY)       Date:  2021-01-25       Impact factor: 5.682

2.  Novel Aurora A Kinase Inhibitor Fangchinoline Enhances Cisplatin-DNA Adducts and Cisplatin Therapeutic Efficacy in OVCAR-3 Ovarian Cancer Cells-Derived Xenograft Model.

Authors:  Daniel Winardi; Pei-Yi Chu; Guan-Yu Chen; Ke Wang; Wei-Yu Hsu; Ching-Liang Hsieh; Yung-Hsiang Chen; Yang-Chang Wu; Juan-Cheng Yang
Journal:  Int J Mol Sci       Date:  2022-02-07       Impact factor: 5.923

Review 3.  Research Progress on Gene Editing Based on Nano-Drug Delivery Vectors for Tumor Therapy.

Authors:  Shiwen Xi; Yong-Guang Yang; Jian Suo; Tianmeng Sun
Journal:  Front Bioeng Biotechnol       Date:  2022-03-28

4.  Systematic Construction and Validation of an Immune-Related Gene-Based Model to Predict Prognosis for Ovarian Cancer.

Authors:  Yihan Fu; Hong Sun
Journal:  Biomed Res Int       Date:  2022-04-21       Impact factor: 3.411

5.  Association Between Metformin Use and the Risk, Prognosis of Gynecologic Cancer.

Authors:  Kui Yao; Heng Zheng; Tao Li
Journal:  Front Oncol       Date:  2022-07-11       Impact factor: 5.738

6.  RTN2, a new member of circadian clock genes identified by database mining and bioinformatics prediction, is highly expressed in ovarian cancer.

Authors:  Xiaojiao Zheng; Xiuyi Lv; Jinghan Chai; Yi Huang; Linyan Zhu; Xianning Zhang
Journal:  Mol Med Rep       Date:  2022-09-30       Impact factor: 3.423

  6 in total

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