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Circulating microRNA (miRNA) is a major focus in liquid biopsy studies. The circulating levels of certain miRNAs have been suggested to reflect specific physiological conditions, and several studies have reported their potential use as biomarkers for the detection and prognosis of cancer, as well as for predicting responses to chemotherapy or radiotherapy. Alongside these biomarker studies, research into the effects of specific background factors on circulating miRNA levels is progressing. Indeed, several studies have shown that a number of factors, including blood sample collection and processing methods, as well as subject-specific factors such as age, sex, and other physiological conditions, can affect the normal levels of circulating miRNAs. Unfortunately, the evidence supporting these effects is not yet strong enough to support a definite conclusion and further research is warranted. Here, we summarize the findings of several studies that have addressed these concerns and identify important topics that should be considered when analyzing circulating miRNA levels in liquid biopsy studies.
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http://dx.doi.org/10.3233/CBM-210223 | DOI Listing |
Kaohsiung J Med Sci
September 2025
Hepatitis Research Center, College of Medicine; Center for Metabolic Disorders and Obesity; Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan.
Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasingly prevalent chronic liver condition that can progress to severe complications such as metabolic dysfunction-associated steatohepatitis (MASH). Despite its growing burden, there are no reliable non-invasive biomarkers for tracking disease progression. In this study, we established a murine MASLD/MASH model using a high-fat diet and chemical (CCl) induction.
View Article and Find Full Text PDFBioimpacts
August 2025
Department of Pharmacognosy, Faculty of Pharmacy, Gazi University, Ankara 06330, Türkiye.
Colorectal cancer (CRC) constitutes a significant global health challenge, accounting for a considerable proportion of cancer cases and associated mortality. Projections indicate a potential increase in new cases by 2040, attributed to demographic factors such as aging and population growth. Although advancements in the understanding of CRC pathophysiology have broadened treatment options, challenges such as drug resistance and adverse effects persist, highlighting the necessity for enhanced diagnostic methodologies.
View Article and Find Full Text PDFAsia Pac J Clin Oncol
September 2025
Department of Surgery, School of Medicine, Daegu Catholic University, Daegu, Republic of Korea.
Purpose: This study aimed to identify breast cancer-specific circulating tumor DNA (ctDNA) methylation markers that correspond to tissue DNA methylation.
Methods: Using The Cancer Genome Atlas (TCGA) database, we selected breast cancer-specific DNA methylation markers. The methylation and expression patterns of candidate genes were analyzed in breast cancer cell lines and tissue samples.
Nat Med
September 2025
Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Immune checkpoint blockade (ICB) is standard of care in advanced diffuse pleural mesothelioma (DPM), but its role in the perioperative management of DPM is unclear. In tandem, circulating tumor DNA (ctDNA) ultra-sensitive residual disease detection has shown promise in providing a molecular readout of ICB efficacy across resectable cancers. This phase 2 trial investigated neoadjuvant nivolumab and nivolumab/ipilimumab in resectable DPM along with tumor-informed liquid biopsy residual disease assessments.
View Article and Find Full Text PDFCell Rep Methods
July 2025
Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, P.R. China; Key Laboratory of Smart Farming for Agricultural Animals, Ministry of Agriculture and Rural Affairs, Beijing, P.R. China; College of Informatics, Huazhong Agricult
We introduce a cell-free DNA (cfDNA) fragmentation pattern: the fragment dispersity index (FDI), which integrates information on the distribution of cfDNA fragment ends with the variation in fragment coverage, enabling precise characterization of chromatin accessibility in specific regions. The FDI shows a strong correlation with chromatin accessibility and gene expression, and regions with high FDI are enriched in active regulatory elements. Using whole-genome cfDNA data from five datasets, we developed and validated the FDI-oncology model, which demonstrates robust performance in early cancer diagnosis, subtyping, and prognosis.
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