4.4 Article

DNA methylation marker to estimate ovarian cancer cell fraction

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Multidisciplinary Sciences

Assessing ZNF154 methylation in patient plasma as a multicancer marker in liquid biopsies from colon, liver, ovarian and pancreatic cancer patients

Brendan F. Miller et al.

Summary: The study found that high methylation of ZNF154 CpG island could be an effective cancer diagnostic marker, particularly for early stage tumors, when applied in liquid biopsy. ZNF154 cfDNA methylation showed promising results in distinguishing cases from healthy individuals in minimal plasma volumes and outperformed KRAS mutation frequency in pancreatic cancer detection.

SCIENTIFIC REPORTS (2021)

Article Oncology

A Novel DNA Methylation Signature as an Independent Prognostic Factor in Muscle-Invasive Bladder Cancer

Zhijie Xu et al.

Summary: A DNA methylation-based signature was described as a prognostic factor for overall survival (OS) in MIBC patients, and a seven-probe classifier was developed to stratify patients into high- and low-risk groups. The classifier showed improved prognostic accuracy when combined with clinical information, offering a useful tool for predicting OS in MIBC patients.

FRONTIERS IN ONCOLOGY (2021)

Review Genetics & Heredity

Clinical cancer genomic profiling

Debyani Chakravarty et al.

Summary: Profiling tumors by next-generation sequencing has the potential to improve diagnostic accuracy, assess heritable cancer risk, and guide treatment selection. Through integrative analyses of tumor and germline variants, as well as identifying mutational signatures that influence therapy response, the clinical utility of cancer genomic profiling is being enhanced. Rapid technological innovation and reduced sequencing costs have enabled the profiling of hundreds of cancer-associated genes as part of routine cancer care.

NATURE REVIEWS GENETICS (2021)

Article Genetics & Heredity

Influence of degree of DNA degradation in formalin-fixed and paraffin-embedded tissue samples on accuracy of genome-wide DNA methylation analysis

Sho Ueda et al.

Summary: The study assessed the accuracy of measuring DNA in formalin-fixed and paraffin-embedded tissue samples using the Infinium MethylationEPIC BeadChip assay. Results showed that the correlation coefficient decreased with DNA degradation, even when meeting quality control standards. Exclusion of specific probes improved correlation, regardless of tissue type, suggesting potential for assay accuracy improvement.

EPIGENOMICS (2021)

Article Immunology

Genome-Wide DNA Methylation Pattern in Whole Blood Associated With Primary Intracerebral Hemorrhage

Yupeng Zhang et al.

Summary: Primary intracerebral hemorrhage (ICH) is a significant worldwide cause of morbidity and mortality, being a multifactorial disease arising from genetic and environmental interactions. Research using Illumina methylation analysis revealed significant differences in DNA methylation patterns between ICH patients and healthy controls, particularly in genes related to inflammatory pathways. Abnormalities in DNA methylation in peripheral blood of ICH patients may have important implications in the development of ICH and warrant further investigation.

FRONTIERS IN IMMUNOLOGY (2021)

Article Oncology

Pancreatic Cancer Cell Fraction Estimation in a DNA Sample

Hiroki Ishihara et al.

ONCOLOGY (2018)

Review Oncology

Tumor evolution and chemoresistance in ovarian cancer

Soochi Kim et al.

NPJ PRECISION ONCOLOGY (2018)

Article Biotechnology & Applied Microbiology

A comprehensive analysis of 195 DNA methylomes reveals shared and cell-specific features of partially methylated domains

Abdulrahman Salhab et al.

GENOME BIOLOGY (2018)

Article Biochemistry & Molecular Biology

A Landscape of Pharmacogenomic Interactions in Cancer

Francesco Iorio et al.

Article Multidisciplinary Sciences

Estimation of the Fraction of Cancer Cells in a Tumor DNA Sample Using DNA Methylation

Takamasa Takahashi et al.

PLOS ONE (2013)

Article Multidisciplinary Sciences

Integrated genomic analyses of ovarian carcinoma

D. Bell et al.

NATURE (2011)