ReviewCancer2026
Minimal residual disease in solid tumors: Clinical applications and future directions.
Review in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Analysis of cell-free DNA in lymphomas: from sample collection to genotyping and minimal residual disease monitoring.Blood advances · 2026Review
- Review
- Review
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- Navigating the molecular landscape: integrated multiomics liquid biopsy for biomarker discovery in early detection and monitoring of colorectal cancer.Frontiers in molecular biosciences · 2026Review
- Circulating tumor DNA in neoadjuvant therapy for solid tumors.Frontiers in oncology · 2026Review
- Epigenetic profiling of circulating cell-free DNA for early detection and minimal residual disease assessment in lung cancer: a focus on DNA methylation.Frontiers in oncology · 2026Review
- Post-IMvigor011 Era: CtDNA-Guided Postoperative Adjuvant Treatment Stratification in Muscle-Invasive Bladder Cancer.Cancer management and research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Minimal residual disease (MRD) refers to the presence of residual cancer cells or tumor-derived fragments that persist after treatment and remain undetectable by conventional imaging or protein-based assays. Circulating tumor DNA (ctDNA) has emerged as a dynamic biomarker for MRD detection. It enables real-time disease monitoring, prognostication, and often therapeutic decision-making. Two major ctDNA approaches exist, tumor-informed and tumor-agnostic, and they differ in sensitivity, specificity, and clinical feasibility. Recent clinical trials have supported a prognostic and predictive utility of ctDNA MRD in gastrointestinal, lung, breast, and other malignancies, with positive postoperative or post-treatment MRD status correlating with higher recurrence risk and inferior survival outcomes. However, integration into clinical practice remains limited by challenges, including tumor heterogeneity, variable ctDNA shedding across tumor stage, location and timing, lack of standardized assay interpretation, and cost-effectiveness concerns. Emerging technologies such as methylation-based sequencing, ultra-deep next-generation sequencing, and machine learning-driven risk models hold promise for improving detection accuracy and clinical applicability. Ongoing clinical trials are expected to determine the impact of earlier MRD detection and intervention on patient outcomes, potentially supporting the broader adoption of ctDNA MRD. In this article, the authors reviewed the recent clinical applications, limitations and future directions of MRD in solid tumors.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.