ArticleExperimental hematology & oncology2026
Combining circulating tumor cell and circulating cell-free DNA analyses broadens clinical applicability of liquid biopsy in high grade serous tubo-ovarian carcinoma.
Article in Experimental hematology & oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- CellSearch-based isolation of circulating tumor cells from ascitic fluid enables molecular characterization of ovarian cancer.The journal of liquid biopsy · 2026Article
- Current Advances of Molecular Biomarkers and Liquid Biopsies Techniques in Ovarian Cancer.Cancer medicine · 2026Review
- Concordance of Genomic Alterations in Ovarian Cancer Tissues and Circulating-Tumor DNA: A Pilot Study.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
Liquid biopsy is a promising strategy for detecting and monitoring neoplastic diseases, with circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) being the most common objects of investigation. Studies are mainly focusing on these biomarkers separately, and simultaneous detection has never been attempted in high grade serous tubo-ovarian carcinoma (HGSOC). Here, we assess whether tandem CTC/ctDNA analysis improves the efficiency of detecting HGSOC via peripheral blood liquid biopsy. For CTC identification, gene expression assays and TP53 next-generation sequencing (NGS) were tested using healthy donor samples spiked with known cancer cell numbers. Both approaches detected as few as five spiked cancer cells, showing high analytical sensitivity and specificity. Validation in HGSOC patients and healthy controls revealed better performance of TP53 NGS, as it correctly identified the disease in 47% liquid biopsies, compared to 13% sensitivity obtained by gene expression assay. TP53 NGS was also applied for ctDNA detection, where analytical validity was ensured by calculating 0.31% as the optimal variant allele frequency threshold for mutation calling. Clinical validation demonstrated that ctDNA approach, with sensitivity of 70%, outperformed CTC-based methods. Combining ctDNA/CTC analysis improved disease detection rate in two HGSOC cohorts, achieving, respectively, 73.3% and 93.3% sensitivity, which would translate to an absolute gain of additional 13 patients per 100 cases being detected if combined approach is applied compared to ctDNA method alone. Interestingly, we found private CTC variants, and shared ctDNA/CTC mutations undetected in solid biopsy, highlighting the ability of dual-analyte approach to capture tumor heterogeneity and allow mutation cross-validation, which is particularly useful in contexts when solid biopsy is not available. Our study reveals the complementary value of simultaneous ctDNA/CTC analysis in HGSOC, advancing the translational potential of liquid biopsy integration for management of this disease, especially regarding early detection, chemotherapy response evaluation and relapse detection.
Indexed as
Identifiers
What Socratic holds
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.