SEARCH · PubMed Health

Results for “Circulating Tumor DNA”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 73 records · Page 4Linked to original sources

PubMed2001

Functionality of circulating DNA: the hypothesis of genometastasis.

The detection of free, circulating tumor DNA in the plasma of cancer patients opens up new possibilities for the diagnosis and prognostication of cancer. Whatever might be the mechanism for the presence of such DNA, it is now clear that oncogenes can circulate in the plasma fraction of blood and we can now ask whether this phenomenon has potentially important implications in cancer patients. The results of our experiments, together with previous observations of other authors, have led us to propose the "Hypothesis of Genometastasis", which suggests that metastases might develop as a result of transfection of susceptible cells in distant target organs with dominant oncogenes that circulate in the plasma and are derived from the primary tumor.

Animals↗

PubMed2005

Tumor-specific p53 sequences in blood and peritoneal fluid of women with epithelial ovarian cancer.

OBJECTIVE: Free tumor DNA in body fluids may be an important biomarker. We tested whether tumor-specific mutated p53 DNA can be detected in blood and peritoneal fluid from women with epithelial ovarian cancer. STUDY DESIGN: Sequencing of tumor DNA identified somatic p53 mutations. Free DNA from matched blood or peritoneal fluid was evaluated for the tumor-specific p53 mutation using a ligase detection reaction. RESULTS: Sixty-nine of 137 tumors (50%) had p53 mutations. Plasma or serum from 21 (30%) of the 69 informative cases contained the tumor-specific p53 mutation. Circulating tumor was an independent predictor of decreased survival in multivariate analysis (P=.02). We detected tumor DNA in peritoneal fluid in 28 of 30 (93%) cases, including all 6 cases with negative cytology. CONCLUSION: One third of women with ovarian cancer have circulating tumor DNA and an associated reduced survival. Free tumor DNA can be detected in the majority of peritoneal fluid samples.

Ascitic Fluid↗

PubMed2026

Role of ctDNA Tumor Fraction in Selecting Immunotherapy-Based Regimens in Advanced Non-Small Cell Lung Cancer.

PURPOSE: Immune checkpoint blockers (ICB) have transformed advanced non-small cell lung cancer (aNSCLC) treatment, but identifying patients who benefit from adding chemotherapy remains challenging, especially in PD-L1 ≥ 50%. PD-L1 is an imperfect biomarker, highlighting the need for better selection tools. EXPERIMENTAL DESIGN: Liquid biopsy (LBx) assessment was performed using hybrid capture-based next-generation sequencing of plasma cell-free DNA. LBx data, molecular profile, and clinicopathologic data were collected. The predictive and prognostic values of tumor fraction (TF) were assessed using a deidentified nationwide (US-based) NSCLC clinicogenomic database [Clinico-Genomic Database (CGDB)]. An independent cohort with aNSCLC from Gustave Roussy was used to validate the findings and to study the correlation of circulating tumor DNA (ctDNA) TF and total metabolic tumor volume and its molecular correlates. RESULTS: In the CGDB database (n = 965), elevated ctDNA TF was prognostic for worse outcomes on ICBs and, when ≥5%, predictive of benefit from ICB + chemotherapy [HR for real-world progression-free survival 0.58 (0.41-0.82); P = 0.002]. The 5% cutoff for TF was validated in an independent cohort from Gustave Roussy. In 283 patients with paired PET scans, ctDNA TF correlated with metabolic tumor volume (rho = 0.46; P < 0.001) and was influenced by TP53/RB1 mutations. CONCLUSIONS: ctDNA TF integrates disease burden and biology. Patients with high ctDNA TF derive greater benefit from chemoimmunotherapy, supporting its use as a biomarker to guide treatment intensification.

Humans↗

PubMed2026

The next-generation biomarkers in early-stage triple negative breast cancer.

PURPOSE OF REVIEW: Despite maximal neoadjuvant chemoimmunotherapy, nearly 40% of early-stage triple-negative breast cancer (TNBC) patients fail to achieve pathological complete response, underscoring an urgent need for biomarkers capable of guiding treatment modulation. This review summarizes recent advances in tumor-infiltrating lymphocytes (TILs), circulating tumor DNA (ctDNA), and genomic signatures, exploring their potential integration into clinical decision-making. RECENT FINDINGS: TILs remain the most validated, cost-effective prognostic biomarker, although standardized scoring is still needed to overcome interobserver variability. ctDNA has emerged as a dynamic, real-time prognostic tool, with postneoadjuvant detection strongly predicting relapse and worse outcomes. Nonetheless, optimal sampling timing remains undefined. Genomic signatures, particularly TNBC-DX, provide standardized, reproducible prognostic information by integrating immune and proliferative gene expression. Emerging data suggest that combining these biomarkers may offer a complementary and synergistic effect. SUMMARY: Multibiomarker integration, supported by prospective validation and automated models, represents a promising approach to personalize treatment algorithms in early-stage TNBC, balancing efficacy and toxicity while guiding escalation and de-escalation strategies.

artificial intelligence↗

PubMed2025

MRDagent: iterative and adaptive parameter optimization for stable ctDNA-based MRD detection in heterogeneous samples.

MOTIVATION: Minimal residual disease (MRD) as critical biomarker for cancer prognosis and management plays a crucial role in improving patient outcomes. However, detecting MRD via next-generation sequencing-based circulating tumor DNA variant calling remains unstable due to the extremely low variant allele frequency and significant inter- and intra-sample heterogeneity. Although parameter optimization can theoretically enhance the detection performance of variants, achieving stable MRD detection remains challenging due to three key factors: (i) the necessity for individualized parameter tuning across numerous heterogeneous genomic intervals within each sample, (ii) the tightly interdependent parameter requirements across different stages of variant detection workflows, and (iii) the limitations of current automated parameter optimization methods. RESULTS: In this study, we propose MRDagent, a novel variant detection tool designed specifically for MRD detection. MRDagent incorporates an iterative and self-adaptive optimization framework capable of handling unknown objectives, varying constraints, and highly coupled parameters across stages. A key innovation of MRDagent is the integration of a convolutional neural network-based meta-model, trained on historical data to enable rapid parameter prediction. This significantly enhances computational efficiency and generalization performance. Extensive evaluations on simulated and real-world datasets demonstrate MRDagent's superior and stable performance, providing an efficient, reliable solution for MRD detection in clinical and high-throughput research applications. AVAILABILITY AND IMPLEMENTATION: MRDagent is freely available at https://github.com/aAT0047/MRDagent.git. The corresponding dataset and software archive are available at Zenodo: https://doi.org/10.5281/zenodo.15458496.

Circulating Tumor DNA↗

PubMed2026

Liquid biopsies reveal dual compartments of cancer risk from tumor and host-derived mutations.

MOTIVATION: Circulating tumor DNA (ctDNA) and clonal hematopoiesis of indeterminate potential (CHIP) are two biologically distinct sources of somatic mutations detectable in blood. While ctDNA captures tumor-intrinsic alterations, CHIP arises from age-related hematopoietic clones and is often considered background noise. Here, we conduct a large-scale, tumor-type-resolved analysis of over 9000 patients with CHIP data and 1500 patients with ctDNA data across solid tumors profiled at Memorial Sloan Kettering Cancer Center. RESULTS: Our results reveal that CHIP and ctDNA mutations exhibit non-overlapping, clinically meaningful signals. CHIP mutations, particularly in DNA damage response and epigenetic regulators (e.g. PPM1D, CHEK2, ATM, TP53, ASXL1), are associated with worse overall survival, increased metastatic potential, and site-specific dissemination. ctDNA mutations in canonical oncogenic drivers (e.g. TP53, EGFR, KRAS, STK11) reflect tumor aggressiveness and correlate with poor prognosis and metastasis across multiple cancer types. Joint modeling in lung adenocarcinoma confirms the independent prognostic contributions of both compartments. Additionally, longitudinal clonal analysis links specific CHIP mutations to the emergence of hematologic malignancies under therapeutic pressure. These findings support a dual-compartment model of liquid biopsy, in which tumor- and host-derived mutations jointly inform on cancer risk, progression, and metastatic behavior. Integrating both compartments may enhance the clinical utility of blood-based biomarkers in oncology. AVAILABILITY: All genomic and clinical data used in this study are available through cBioPortal. Summarized outputs and processed results tables are provided in Supplementary Data.

Humans↗

PubMed2026

Identification of candidate variants in plasma associated with early versus late disease progression under anti-PD-1 therapy in metastatic NSCLC.

BACKGROUND: Immune checkpoint inhibitors (ICIs), including anti-programmed cell death protein 1 (anti-PD-1) antibodies, have significantly improved outcomes in patients with metastatic non-small cell lung cancer (mNSCLC). However, substantial heterogeneity exists in clinical benefit, with some patients exhibiting early progression (EP) and others late progression (LP). To date, no biomarkers of EP versus LP disease have been implemented in clinical practice. Circulating tumor DNA (ctDNA) analysis represents a minimally invasive strategy for identifying such biomarkers. In this proof-of-concept study, we evaluated the performance of the TruSight Oncology 500 ctDNA (TSO500 ctDNA) panel and explored its feasibility to identify candidate variants associated with early and late disease progression under anti-PD-1 therapy. METHODS: Baseline ctDNA from eight mNSCLC patients treated with pembrolizumab was extracted and sequenced using the TSO500 ctDNA assay, a 523-gene targeted next-generation sequencing panel. Patients were classified according to their response as LP or EP. Variant calling was performed using the DRAGEN Bio-IT platform, and variants were annotated and clinically interpreted using the Clinical Genomics Workspace (CGW; PierianDx) according to Association for Molecular Pathology (AMP)/American Society of Clinical Oncology (ASCO)/College of American Pathologists (CAP) guidelines. Survival outcomes were assessed using Kaplan-Meier and log-rank tests. Performance of ctDNA variants was evaluated using receiver operating characteristic (ROC) curve analysis, and multi-gene models were assessed using leave-one-out cross-validation with penalized logistic regression. RESULTS: All patients harbored detectable variants, including SNVs (100%), MNVs (87.5%), deletions (75%), and insertions (62.5%). Tier I variants were identified in 37.5% of patients, while all cases showed tier II and multiple tier III alterations. TP53 variants were associated with poorer outcomes under anti-PD-1 therapy. Individual gene alterations in TP53, ERBB3, SMC1A or LATS1 showed moderate discriminatory performance between LP and EP patients; however, combination of mutated genes improved apparent discrimination. Notably, specific two-gene combinations (SMC1A + LATS1 or ERBB3 + LATS1) showed the highest discriminatory performance between LP and EP patients in this exploratory cohort. CONCLUSIONS: This study demonstrates the feasibility and analytical performance of the TSO500 ctDNA panel and provides hypothesis-generating evidence that plasma gene variants may be useful to evaluate early versus late disease progression in patients with mNSCLC receiving immunotherapy.

TruSight Oncology 500↗

PubMed2025

MRDtarget: A heuristic Gaussian approach for optimizing targeted capture regions to enhance Minimal Residual Disease detection.

Molecular residual disease (MRD) detection, initially developed for hematologic malignancies, has become a critical biomarker for monitoring solid tumors. MRD detection primarily relies on circulating tumor DNA (ctDNA) analysis using next-generation sequencing, offering high sensitivity and broad genomic coverage. However, challenges remain in designing cost-effective panels that maximize mutation detection while maintaining biological relevance. Fixed panels often lack sufficient patient-specific mutation coverage, while WES-based personalized MRD assays, despite their high sensitivity, are costly and less accessible. We developed a tumor comprehensive genomic profiling (CGP)-informed personalized MRD assay to detect tumor-derived mutations, which allowed us to design patient-specific personalized panels and meanwhile, provide a cost-effective alternative to whole exome sequencing (WES). To address these limitations, we developed MRDtarget, a heuristic multivariate Gaussian model-based targeted capture region selection method. By expanding beyond traditional hotspot regions, MRDtarget optimizes variant tracking for MRD detection, significantly improving sensitivity. Using a Bayesian inference-based heuristic approach, MRDtarget integrates multi-feature informativeness rates to identify optimal genomic regions for capture. Experimental results demonstrate that MRDtarget enables the detection of more variants per patient. This study underscores the importance of rational panel design to improve MRD sensitivity and provides a novel approach to enhance precision diagnostics and treatment for solid tumor patients.

Humans↗

PubMed2026

Network-Integrated Platform for Clinical Trial Navigation from the New South Wales Early Phase Clinical Trials Alliance.

PURPOSE: Access to early-phase clinical trials (EPCT) is increasingly constrained by delays in genomic testing and lack of coordinated system-level navigation. The New South Wales Early Phase Clinical Trials Alliance (NECTA) was established to improve EPCT access. Practical Assessment of NECTA Network Assistance in Cancer Outpatient Trials Access (PANNA-COTA) prospectively evaluated whether integrating circulating tumor DNA (ctDNA) profiling with a real-time, cross-site molecular tumor board (MTB) facilitates EPCT enrollment. PATIENTS AND METHODS: In this multicenter prospective study across nine NECTA sites, patients referred for EPCT consideration underwent ctDNA testing using the Guardant360 74-gene assay. The results were reviewed at a fortnightly MTB incorporating cross-site trial mapping and dynamic eligibility review. The primary endpoint was proportion enrolled into EPCTs. Secondary endpoints included ctDNA findings and trial outcomes. RESULTS: Of 104 consented participants, 101 were eligible. Participants had advanced, heavily pretreated solid tumors; 48% lacked prior tumor next-generation sequencing. ctDNA alterations were detected in 85%, with actionable alterations in 44%. Therapeutic options were identified in 88%, and EPCTs were recommended in 76%. Despite this, only 7% of participants received genomically matched therapy. In contrast, 37% enrolled in EPCTs within 3 months and 47% overall [95% confidence interval (CI), 0.37-0.56]. Among evaluable participants on trial, the disease control rate was 81% and objective response rate was 33%. CONCLUSIONS: PANNA-COTA demonstrates that integrating liquid biopsy with real-time, network-level trial navigation enables high rates of EPCT enrollment despite low rates of genomically matched therapy. These findings indicate that clinical trial access is influenced by navigation, eligibility, and system-level coordination rather than genomic actionability alone.

Humans↗

PubMed2026

Association of ctDNA RAS mutational status and clinical benefits in first-line metastatic colorectal cancer therapy with chemotherapy plus anti-EGFR (overall response rate and progression-free survival): a brief report of systematic review and meta-analysis.

Monitoring RAS mutations in circulating tumor DNA (ctDNA) is increasingly relevant in metastatic colorectal cancer (mCRC). In patients with tissue RAS wild-type (WT) tumors treated with first-line chemotherapy plus anti-epidermal growth factor receptor therapy (1LChT + anti-EGFR), some studies suggest that RAS WT ctDNA is associated with better outcomes, whereas others reported no differences according to ctDNA RAS mutational status. These inconsistencies may be related to small sample sizes, methodological heterogeneity, differences in assay sensitivity and tumor heterogeneity. We performed a systematic review in patients with tissue RAS WT treated with 1LChT + anti-EGFR. PubMed, Web of Science, and Scopus were searched up to April 2026. Risk of bias was assessed using the QUIPS tool, and random-effect models were applied. Fourteen studies met the inclusion criteria (ten non-interventional studies and four clinical trials). Compared with ctDNA RAS mutated tumors, ctDNA RAS WT tumors showed significantly higher overall response rates [ORR: pooled odds ratio (OR) 2.1, 95% confidence interval (CI): 1.3-3.4; P=0.002] and longer progression-free survival [PFS: pooled hazard ratio (HR) 1.6, 95% CI: 1.3-1.9; P<0.001] [non-interventional studies (NIS) + clinical trials (CT) data]. The pooled prevalence of ctDNA RAS mutations was 10.5% (95% CI: 6.2-14.8%). These findings support ctDNA RAS status as a potential biomarker of benefit from anti-EGFR-based therapy in mCRC, although methodological standardization and prospective validation remain necessary.

Circulating tumor DNA (ctDNA)↗

PubMed2026

High-Sensitivity ctDNA Analysis Uncovers Relevant Signals Missed by NGS in Pancreatic Cancer.

PURPOSE: Pancreatic ductal adenocarcinoma (PDAC) carries high mortality despite multimodal therapy, and improved biomarkers are needed to guide perioperative care. This study evaluated the prognostic significance of Kirsten rat sarcoma virus (KRAS)-mutant circulating tumor DNA (ctDNA) detected by next-generation sequencing (NGS) and digital droplet PCR (ddPCR) in localized PDAC. EXPERIMENTAL DESIGN: In this prospective cohort study (2020-2024), patients with localized PDAC undergoing neoadjuvant chemotherapy (NAC) were enrolled across multiple sites within Northwestern Medicine. Blood samples for ctDNA were assessed at diagnosis, after NAC, and after resection using tumor-agnostic NGS and ddPCR targeting KRAS G12D/V/R mutations. Overall survival (OS) was assessed using Kaplan-Meier analysis. RESULTS: The cohort included 106 patients. At diagnosis, KRAS ctDNA was detected in 17.2% (17/99) by NGS and 64.9% (63/97) by ddPCR. Detection by both platforms was associated with shorter OS, with the higher-sensitivity ddPCR assay providing greater prognostic discrimination by identifying additional patients with poor outcomes not captured by NGS (NGS median OS 11.2 vs. 30.5 months, P < 0.001; ddPCR median OS 24.7 vs. 70.9 months, P = 0.004). Stratified by detection method, median OS was shortest in patients with ctDNA detected by both NGS and ddPCR (10.9 months), longest in those not detected by either platform (40.7 months), and intermediate in patients detected only by ddPCR (26.9 months; P < 0.001). CONCLUSIONS: In localized PDAC, KRAS-mutant ctDNA detected by NGS or ddPCR was associated with worse survival. ddPCR identified additional patients missed by NGS. Integrating ddPCR with NGS ctDNA measures may improve perioperative risk stratification, although validation is needed before clinical implementation.

Humans↗

PubMed2025

From Diagnosis, Therapy Decision-Making to Genetic Risk Assessment: The Impact of ctDNA Testing on Comprehensive Cancer Management-A Case Report.

Circulating tumor DNA (ctDNA) testing is a minimally invasive alternative to tissue biopsy and is ideal for inaccessible tumors or limited samples. It captures tumor heterogeneity over time and different anatomic locations, unlike the static snapshot provided by a biopsy. In this report, we describe a 68-year-old female with an initial diagnosis of metastatic pancreatic adenocarcinoma (a pancreas head mass with multiple bilateral lung nodules). Mutation profiling of the pancreatic mass biopsy using a comprehensive cancer next-generation sequencing (NGS) panel was unsuccessful due to insufficient tissue. Consequently, ctDNA testing using a pan-cancer NGS panel was performed, and an EGFR p.L858R variant at 2.15% was identified. Interestingly, this activating variant is highly specific to non-small cell lung cancer (NSCLC), which raised the possibility of a synchronous tumor unrelated to the pancreatic mass. Immunohistochemistry showed the EGFR variant in station 7 lymph nodes but not in pancreatic biopsy tissue, supporting the inference that the variant originated from the lung mass. Droplet digital PCR on the limited pancreatic biopsy identified a KRAS p.Q61 variant, which was absent by ctDNA testing, suggesting a pancreatic primary with low ctDNA levels. In addition to diagnosing a primary lung cancer, ctDNA testing guided treatment decisions. With a primary EGFR p.L858R-mutant NSCLC, osimertinib was administered, resulting in a partial response within 10 months. In addition, given the synchronous primary pancreatic adenocarcinoma, germline testing was performed, revealing a CDKN2A p.I49T variant consistent with melanoma-pancreatic cancer syndrome, prompting comprehensive cancer surveillance and familial testing. This case illustrates how ctDNA testing enabled a comprehensive evaluation by clarifying the diagnosis, identifying actionable biomarkers, and facilitating genetic risk assessment, ultimately having a significant impact on the patient's clinical management.

Humans↗

PubMed2026

Longitudinal ctDNA tracking in early and recurrent breast cancer using an ultrasensitive structural variant-based assay: an extended analysis from the TRACER study.

BACKGROUND: Detection of circulating tumor DNA (ctDNA) following curative-intent therapy is prognostic of disease recurrence in early-stage breast cancer (EBC). An ultrasensitive structural variant (SV)-based ctDNA assay was evaluated previously in a 100-patient EBC cohort treated with neoadjuvant therapy, demonstrating high sensitivity, specificity, and a long lead-time to relapse. The stability of primary tumor-specific SVs at and after metastatic recurrence and their utility for longer-term ctDNA monitoring had not been established. PATIENTS AND METHODS: An updated retrospective analysis of ctDNA dynamics was conducted in an expanded cohort of 121 patients with EBC treated with neoadjuvant therapy. Plasma samples were collected at key clinical timepoints and serially in several patients who experienced metastatic recurrence. Clinical variables were abstracted from medical records. Associations between ctDNA detection, dynamics, and clinical outcomes were evaluated in the early-stage and metastatic settings. RESULTS: Thirty of 121 patients experienced clinical recurrence (28 distant, 2 local) over a median follow-up of 4.2 years (range 0.5-8.8; 25 ctDNA evaluable with adjuvant timepoints). All patients with detectable ctDNA in the adjuvant setting developed metastatic recurrence (22/22). Median lead time from ctDNA detection to metastatic recurrence was 346 days (range 0-1937). Among recurrent cases, 79% of primary tumor-specific SVs (n = 17 patients, tumor fraction ≥0.1%) remained detectable in plasma [range 7% (1/14 SV)-100% (15/15); median: 92%]. ctDNA dynamics in the recurrent metastatic setting demonstrated a strong relationship with radiographic outcomes in evaluable patients (n = 9). CONCLUSION: This SV-based digital PCR assay provided ultrasensitive ctDNA detection in an expanded EBC cohort, maintaining 100% positive predictive value for metastatic recurrence. In patients with recurrence, ctDNA dynamics were concordant with radiographic outcomes. Prospective studies evaluating the clinical utility of longitudinal ctDNA monitoring are warranted.

MRD↗

PubMed2026

Efficacy and Genomic Analysis of HER2-Mutant Metastatic Triple-Negative Breast Cancer Treated with Neratinib Alone or with Trastuzumab in the SUMMIT Basket Trial.

PURPOSE: Human epidermal growth factor receptor 2 (HER2) mutations occur in 1% to 3% of triple-negative breast cancers (TNBC), representing a novel target for biomarker-directed treatment. In the SUMMIT basket trial (NCT01953926), patients with HER2-mutant, metastatic TNBC received neratinib (240 mg/day) or neratinib + trastuzumab (N + T; neratinib 240 mg/day, intravenous trastuzumab 8 mg/kg initially and then 6 mg/kg every 3 weeks). We report final results from the neratinib and N + T TNBC cohorts. PATIENTS AND METHODS: Primary endpoint: investigator-assessed objective response rate at first postbaseline tumor assessment (ORRfirst); secondary endpoints included confirmed ORR by investigator, clinical benefit rate (CBR), and progression-free survival (PFS); exploratory endpoint included circulating tumor DNA (ctDNA) collected at baseline, during treatment, and at the end of treatment. RESULTS: Twenty-seven patients were enrolled between July 2014 and September 2021. Confirmed ORRs were 40% [95% confidence interval (CI), 12.2-73.8] for neratinib (n = 10) and 35.3% (95% CI, 14.2-61.7) for N + T (n = 17). CBRs were 40% (95% CI, 12.2-73.8) and 47.1% (95% CI, 23-72.2), respectively; median PFS times were 2.89 (95% CI, 0.95-5.52) and 6.24 months (95% CI, 2.10-8.18), respectively. HER2 mutation variant allele frequencies in ctDNA from patients with response or stable disease decreased upon treatment and increased upon progression. Serial ctDNA sequencing revealed emergence or increase in on-pathway (ERBB3) and off-pathway (KRAS and TP53) mutations. The most common treatment-emergent adverse events were diarrhea, nausea, and constipation. CONCLUSIONS: N + T in patients with HER2-mutant metastatic TNBC seemed to prolong responses versus neratinib alone, representing a novel approach for patients with biomarker-defined metastatic TNBC. Based on these and previously published data, neratinib-based combinations are endorsed by the National Comprehensive Cancer Network guidelines for patients with hormone receptor-positive or -negative metastatic breast cancer with activating HER2 mutations. See related commentary by Lloyd et al., p. 3715.

Adult↗

PubMed2025

Molecular Residual Disease and Recurrence in Rectal Cancer Patients Undergoing Upfront Surgery: A Prospective Cohort Study.

OBJECTIVE: To evaluate the prognostic utility of postoperative circulating tumor DNA (ctDNA) for recurrence and treatment response in patients with rectal cancer undergoing upfront surgery. BACKGROUND: ctDNA-based molecular residual disease (MRD) testing shows promise in colorectal cancer, but its role in patients with rectal cancer not receiving neoadjuvant therapy is unclear. This study evaluates whether postoperative ctDNA predicts disease-free survival (DFS) and guides adjuvant chemotherapy (ACT) decisions. METHODS: We analyzed ctDNA from patients with stage II to III rectal cancer (N=250) enrolled in the GALAXY study, a multicenter registry in Japan. A clinically validated, personalized, tumor-informed 16-plex PCR next-generation sequencing assay (Signatera) was used to detect and quantify ctDNA. The primary outcome was DFS, defined as the time from landmark to recurrence, death, or the latest radiologic assessment. RESULTS: In the MRD window (2-10 wk postsurgery, before ACT), 14.2% (35/246) of patients were ctDNA-positive and had significantly shorter DFS (HR: 9.96, 95% CI: 5.76-17.2, P <0.0001). Among patients who were ctDNA-positive in the MRD window, a significant benefit from ACT was observed (HR: 0.28, 95% CI: 0.09-0.89, P =0.031), whereas no benefit was seen in ctDNA-negative patients (HR: 0.59, 95% CI: 0.26-1.35, P =0.211). When analyzing ctDNA dynamics from the MRD window to 6 months postsurgery, recurrence risk was higher in patients who converted from ctDNA-negative to positive (HR: 8.22, 95% CI: 1.86-36.32, P =0.0055) and who remained ctDNA-positive (HR: 45.48, 95% CI: 14.31-144.57, P <0.0001) compared with serially ctDNA-negative patients. CONCLUSIONS: Postoperative ctDNA status is a robust biomarker predicting recurrence risk and ACT benefit in patients with rectal cancer undergoing upfront surgery.

Humans↗

PubMed2025

ctDNA can detect minimal residual disease in curative treated non-small cell lung cancer patients using a tumor agnostic approach.

BACKGROUND: Circulating tumor DNA (ctDNA) has the potential to become a reliable biomarker for identifying minimal residual disease (MRD) and predicting recurrence in patients with non-small cell lung cancer (NSCLC) following curative treatment. However, there is a lack of studies that investigate the clinical validity of ctDNA using a tumor-agnostic approach, which can provide significant clinical benefits. METHODS: We analyzed samples from 45 NSCLC patients recruited in a prospective national multicenter study, all of whom had undergone curative treatment. A total of 38 pre-treatment plasma samples and 76 post-treatment plasma samples were examined using a commercially available cancer personalized profiling by deep sequencing (CAPP-seq) strategy, and a tumor-agnostic approach. Post-treatment samples were collected at two distinct landmark time points: Follow-up 1 (0.5-4.5 months post-treatment) and Follow-up 2 (4.5-7.5 months post-treatment). RESULTS: Detectable ctDNA post-treatment was significantly associated with increased risk of tumor recurrence and shorter recurrence-free survival (RFS). Using only a single blood sample taken from Follow-up 2, we correctly identified MRD in 50% of the patients who later experienced recurrence. However, subgroup analysis further revealed that in patients treated with radiotherapy or chemoradiotherapy (CRT), ctDNA detection was significantly linked to shorter RFS in the MRD analysis from Follow-up 2, but not in the MRD analysis from Follow-up 1. CONCLUSION: These findings suggest that post-treatment ctDNA, detected using a tumor-agnostic approach, is a reliable biomarker for predicting recurrence in NSCLC patients following curative treatment. However, the optimal timing for blood sampling to detect MRD appears to depend on the type of curative treatment received.

Humans↗

PubMed2026

Neoadjuvant Paclitaxel, Trastuzumab, and Pertuzumab for Stage II to III, ERBB2-Positive Breast Cancer: A Secondary Analysis of the DAPHNe Trial.

IMPORTANCE: The neoadjuvant combination of paclitaxel, trastuzumab, and pertuzumab (THP) represents a promising abbreviated regimen for early-stage ERBB2-positive breast cancer, but long-term outcomes and the role of ultrasensitive circulating tumor DNA (ctDNA) monitoring remain incompletely defined. OBJECTIVE: To assess 5-year outcomes and characterize ctDNA dynamics with an ultrasensitive assay in patients with ERBB2-positive breast cancer receiving neoadjuvant THP. DESIGN, SETTING, AND PARTICIPANTS: This study was a prespecified secondary analysis of the prospective, single-arm, investigator-initiated phase 2 DAPHNe nonrandomized clinical trial. Patients were enrolled in the DAPHNe trial from November 2018 to January 2020. The trial took place at a multicenter academic cancer center and affiliated community practices. Participants included patients with stage II to III ERBB2-positive breast cancer receiving neoadjuvant THP for 12 weeks. Ultrasensitive ctDNA analyses were performed in patients with available tumor tissue and serial plasma samples. The secondary analysis was conducted between between March 2023 and April 2025. INTERVENTIONS: Neoadjuvant THP administered for 12 weeks, followed by surgery and adjuvant therapy guided by pathologic response. MAIN OUTCOMES AND MEASURES: Main outcomes included 5-year event-free survival, recurrence-free interval (RFI), distant RFI, and overall survival. ctDNA detection and clearance were assessed using a whole-genome-based, tumor-informed ultrasensitive assay at 4 predefined time points (baseline, preoperative, postoperative, and late adjuvant). RESULTS: The overall trial cohort included 98 patients (median [IQR] age, 49.5 years [24.0-78.0 years]; 97 female patients [99.0%]; 1 male patient [1.0%]), with mostly stage 2 disease (91 patients [92.9%]) and hormone receptor-positive tumors (65 patients [66.3%]). With a median (IQR) follow-up of 5.2 (5.0-5.4) years, the 5-year event-free survival was 99% (95% CI, 97%-100%), the 5-year RFI was 98% (95% CI, 93%-100%), the 5-year distant RFI was 100% (95% CI, 100%-100%), and the 5-year overall survival was 99% (95% CI, 97%-100%). Among 57 patients included in ctDNA analyses, baseline ctDNA was detected in 51 individuals (89.5%). After neoadjuvant therapy, ctDNA clearance occurred in 49 of 51 patients (96.1%), with only 2 individuals (3.9%) remaining ctDNA-positive preoperatively; detectability remained low (<10%) during postoperative follow-up. One single patient experienced a local recurrence, with ctDNA detected at time of recurrence and cleared following surgical resection. CONCLUSIONS AND RELEVANCE: In this secondary analysis of the DAPHNe nonrandomized clinical trial, neoadjuvant THP was associated with excellent long-term outcomes in patients with early-stage ERBB2-positive breast cancer. Ultrasensitive ctDNA analyses demonstrated high baseline detection rates and near-universal clearance after abbreviated neoadjuvant therapy, supporting further investigation of ctDNA-guided de-escalation strategies in this setting. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03716180.

Humans↗

PubMed2000

Detection and quantitation of human papillomavirus (HPV) DNA in the sera of patients with HPV-associated head and neck squamous cell carcinoma.

The human papillomavirus (HPV) has been implicated as an etiological factor in a subset of head and neck squamous cell carcinoma (HNSCC). Because circulating tumor DNA has previously been detected in the sera of patients with advanced HNSCC (stage III or IV), we hypothesized that HPV DNA might be present in the sera of HPV-positive HNSCC patients. Serum DNA extracts from 70 patients with HNSCC were screened for HPV using conventional PCR and a real-time quantitative assay. All samples subjected to conventional PCR were further tested by dot blot hybridization, and positives were confirmed by Southern blotting. Paired tumor DNA from archived tissues was then similarly screened for HPV genomic material (n = 51) or tested by in situ hybridization (n = 19). HPV-16 DNA was detected with L1 primers in 0 of 65 sera and in 15 of 70 (21%) tumors. Conventional PCR with E7 primers and Southern blot hybridization detected HPV-16 DNA in four (6%) sera. Using real-time quantitative PCR, six samples were found to contain various levels of circulating HPV DNA (mean, 12 copies/ml; range, <1-35.) All six serum-positive patients had corresponding tumors positive for E7. Four of these patients with HPV-positive tumors later developed distant metastases, suggesting that HPV DNA in serum may represent occult hematogenous spread of cancer cells in this subset of patients. Although a much larger prospective trial is required, the presence of HPV genomic material in serum DNA of HPV-positive HNSCC patients may serve as a useful marker of early metastatic disease.

Adult↗