ReviewCancer medicine2026
Current Advances of Molecular Biomarkers and Liquid Biopsies Techniques in Ovarian Cancer.
Review in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
Abstract
Ovarian cancer (OC) remains a lethal gynecological malignancy with challenges in early diagnosis, treatment monitoring, and overcoming drug resistance. Liquid biopsy, a noninvasive approach analyzing tumor-derived components in bodily fluids, has emerged as a promising tool in OC management. This review summarizes advances in liquid biopsy technologies, focusing on circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs). ctDNA enables minimally invasive assessment for diagnosis, prognosis, treatment guidance (e.g., BRCA1/2-targeted therapy), minimal residual disease (MRD) detection, and monitoring of tumor evolution. CTCs, particularly clusters, provide insights into metastasis and therapeutic response. Emerging modalities such as tumor-educated platelets (TEPs), circular RNAs (circRNAs), and exosomes and protease activity-based liquid biopsy also show diagnostic and prognostic potential. Despite technical challenges like standardization and sensitivity, liquid biopsy holds significant promise for personalized OC care, with ongoing efforts to translate these technologies into clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.