ArticleJournal of translational medicine2020
Patient specific circulating tumor DNA fingerprints to monitor treatment response across multiple tumors.
Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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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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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Pooled it
- The role of serologic biomarkers "liquid biopsy" in the fight against breast cancer: From biological foundations to clinical impact.iScience · 2026Review
- Biological basis and clinical translation prospects of circulating cell-free DNA in precision management of breast cancer (Review).Oncology letters · 2026Review
- Variant Allelic Frequency to Track Therapy Response and Evaluate Leptomeningeal Disease in Metastatic Central Nervous System Cancers.Diagnostics (Basel, Switzerland) · 2026Article
- Role of circulating tumor DNA methylation in gastric cancer initiation and progression: A comprehensive review.World journal of gastrointestinal oncology · 2025Review
- Utility of Germline, Somatic and ctDNA Testing in Adults With Cancer.Cancer medicine · 2025Review
- Integration of Circulating Tumor DNA and Metabolic Parameters onAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Review
- Circulating tumor DNA in cholangiocarcinoma: current clinical applications and future perspectives.Frontiers in cell and developmental biology · 2025Review
- The times they are AI-changing: AI-powered advances in the application of extracellular vesicles to liquid biopsy in breast cancer.Extracellular vesicles and circulating nucleic acids · 2025Review
- Biomarkers and prognostic factors of PD-1/PD-L1 inhibitor-based therapy in patients with advanced hepatocellular carcinoma.Biomarker research · 2024Review
- Serial circulating tumor DNA profiling predicts tumor recurrence after liver transplantation for liver cancer.Hepatology international · 2024Article
- Clinical applications and perspectives of circulating tumor DNA in gastric cancer.Cancer cell international · 2024Review
- Analysis of circulating tumor DNA identifies distinct therapeutic response to intraperitoneal and intravenous paclitaxel plus S-1 in gastric cancer patients with peritoneal metastasis.Therapeutic advances in medical oncology · 2024Article
- Calibration of cell-free DNA measurements by next-generation sequencing.American journal of clinical pathology · 2023Article
- Cell-free DNA-based liquid biopsies in neurology.Brain : a journal of neurology · 2023Review
- Targeting the Sequences of Circulating Tumor DNA of Cholangiocarcinomas and Its Applications and Limitations in Clinical Practice.International journal of molecular sciences · 2023Article
- Prevalence of germline mutations in cancer susceptibility genes in Chinese patients with renal cell carcinoma.Translational andrology and urology · 2023Article
- Real-World Use of Immunotherapy for Hepatocellular Carcinoma.Pragmatic and observational research · 2023Review
- Liquid biopsy in gastric cancer: predictive and prognostic biomarkers.Cell death & disease · 2022Review
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 at 8 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCirculating tumor DNA (ctDNA) offers a convenient way to monitor tumor progression and treatment response. Because tumor mutational profiles are highly variable from person to person, a fixed content panel may be insufficient to track treatment response in all patients.
methodsWe design ctDNA fingerprint panels specific to individual patients which are based on whole exome sequencing and target to high frequency clonal population clusters in patients. We test the fingerprint panels in 313 patients who together have eight tumor types (colorectal, hepatocellular, gastric, breast, pancreatic, and esophageal carcinomas and lung cancer and cholangiocarcinoma) and exposed to multiple treatment methods (surgery, chemotherapy, radiotherapy, targeted-drug therapy, immunotherapy, and combinations of them). We also monitor drug-related mutations in the patients using a pre-designed panel with eight hotspot genes.
results291 (93.0%) designed fingerprint panels harbor less than ten previously known tumor genes. We detected 7475 ctDNA mutations in 238 (76%) patients and 6196 (96.0%) of the mutations are detected in only one test. Both the level of ctDNA content fraction (CCF) and fold change of CCF (between the definitive and proceeding tests) are highly correlated with clinical outcomes (p-values 1.36e-6 for level and 5.64e-10 for fold change, Kruskal-Wallis test). The CCFs of PD patients are an order of magnitude higher than the CCFs of SD and OR patients (median/mean 2.22%/8.96% for SD, 0.18/0.21% for PD, and 0.31/0.54% for OR; pairwise p-values 7.8e-6 for SD ~ PD, 2.7e-4 for OR ~ PD, and 7.0e-3 for SD ~ OR, Wilcoxon rank sum test). The fold change of CCF distinguishes the patient groups even better, which increases for PD, remains stable for SD, and decreases for OR patients (p-values 0.002, ~ 1, and 0.0001 respectively, Wilcoxon signed-rank test). Eleven drug-related mutations are identified from nine out of the 313 patients.
conclusionsThe ctDNA fingerprint method improves both specificity and sensitivity of monitoring treatment response across several tumor types. It can identify tumor relapse/recurrence potentially earlier than imaging-based diagnosis. When augmented with tumor hotspot genes, it can track acquired drug-related mutations in patients.
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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 OpenQuestion graph.