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Ovarian Cancer Diagnosis and Prognosis Based on Cell-Free DNA Methylation.
Gao, Yajuan; Zhou, Nanyang; Liu, Jie.
Afiliação
  • Gao Y; Department of Gynecology and Obstetrics, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
  • Zhou N; Department of Traditional Chinese Medicine, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
  • Liu J; Department of Gynecology and Obstetrics, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
Cancer Control ; 31: 10732748241255548, 2024.
Article em En | MEDLINE | ID: mdl-38764160
ABSTRACT

Background:

 Ovarian cancer stands as the deadliest malignant tumor within the female reproductive tract. As a result of the absence of effective diagnostic and monitoring markers, 75% of ovarian cancer cases are diagnosed at a late stage, leading to a mere 50% survival rate within five years. The advancement of molecular biology is essential for accurate diagnosis and treatment of ovarian cancer

Methods:

 A review of several randomized clinical trials, focusing on the ovarian cancer, was undertaken. The advancement of molecular biology and diagnostic methods related to accurate diagnosis and treatment of ovarian cancer were examined.

Results:

 Liquid biopsy is an innovative method of detecting malignant tumors that has gained increasing attention over the past few years. Cell-free DNA assay-based liquid biopsies show potential in delineating tumor status heterogeneity and tracking tumor recurrence. DNA methylation influences a multitude of biological functions and diseases, especially during the initial phases of cancer. The cell-free DNA methylation profiling system has emerged as a sensitive and non-invasive technique for identifying and detecting the biological origins of cancer. It holds promise as a biomarker, enabling early screening, recurrence monitoring, and prognostic evaluation of cancer.

Conclusions:

 This review evaluates recent advancements and challenges associated with cell-free DNA methylation analysis for the diagnosis, prognosis monitoring, and assessment of therapeutic responses in the management of ovarian cancers, aiming to offer guidance for precise diagnosis and treatment of this disease.
Ovarian cancer stands as the deadliest malignant tumor within the female reproductive tract. As a result of the absence of effective diagnostic and monitoring markers, 75% of ovarian cancer cases are diagnosed at a late stage, leading to a mere 50% survival rate within five years. Nearly 80% of advanced stages have a poor prognosis or recurrence within five years. Ovarian cancer is linked to a grim long-term prognosis attributable to its elevated mortality and recurrence rates. The advancement of molecular biology and diagnostic methods is essential for accurate diagnosis and treatment of ovarian cancer. Liquid biopsy is an innovative method of detecting malignant tumors that has gained increasing attention over the past few years. Cell-free DNA assay-based liquid biopsies show potential in delineating tumor status heterogeneity and tracking tumor recurrence. DNA methylation represents a prevalent epigenetic modification. DNA methylation influences a multitude of biological functions and diseases, especially during the initial phases of cancer. The cell-free DNA methylation profiling system has emerged as a sensitive and non-invasive technique for identifying and detecting the biological origins of cancer. This review assesses recent progress and obstacles linked to cell-free DNA methylation analysis for diagnosing, prognostic monitoring, and evaluating therapeutic responses in managing ovarian cancers.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Biomarcadores Tumorais / Metilação de DNA Limite: Female / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Biomarcadores Tumorais / Metilação de DNA Limite: Female / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article