Evidence map›Paper›PMID 41976272›Full record

ReviewCancers2026

Minimal Residual Disease in Oncology: From Cure to Longitudinal Patient Management.

Jinhee Kim, Franck Morceau, Yong-Jun Kwon, Yong Jae Shin

Abstract readReview
In one paragraph

Review in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jinhee KimResearch Institute for Future Medicine, Samsung Medical Center, Seoul 06351, Republic of Korea.
Franck MorceauPrecision Medicine Technology, Translational Medicine Operations Hub, Luxembourg Institute of Health, 3555 Dudelange, Luxembourg.ORCID 0000-0002-7945-3779
Yong-Jun KwonPrecision Medicine Technology, Translational Medicine Operations Hub, Luxembourg Institute of Health, 3555 Dudelange, Luxembourg.ORCID 0000-0002-7249-3014
Yong Jae ShinResearch Institute for Future Medicine, Samsung Medical Center, Seoul 06351, Republic of Korea.ORCID 0009-0008-2237-8051

Funding

Ministry of Research and Higher Education (MESR) of Luxembourg N/ANational Research Foundation of Korea RS-2024-00341405
6 · The paper itself

Abstract

Minimal residual disease (MRD) refers to the persistence of low-level malignant cells or tumor-derived nucleic acids that remain after curative-intent therapy and are undetectable by conventional diagnostic methods. In oncology, MRD has emerged as a powerful biomarker with well-established prognostic value in hematologic malignancies and rapidly expanding relevance in solid tumors. Advances in sensitive detection technologies, including multiparameter flow cytometry, quantitative real-time polymerase chain reaction, next-generation sequencing, and digital polymerase chain reaction, have enabled the identification of residual disease at the molecular level, often preceding clinical or radiological relapse. Beyond its conventional role as a binary indicator of treatment response or cure, MRD is increasingly recognized as a dynamic longitudinal biomarker that supports personalized disease management. Within this evolving paradigm, patient-informed MRD strategies that incorporate tumor-specific molecular profiling and serial monitoring, particularly through circulating tumor DNA, offer the potential to guide treatment adaptation, including escalation, de-escalation, maintenance optimization, and surveillance strategies across both hematologic and solid malignancies. In this review, we summarize the biological basis of MRD, current and emerging detection methodologies, and clinical applications across cancer types, with a focus on patient-informed approaches. We also discuss key limitations, including assay standardization, biological variability in solid tumors, and the lack of clearly defined actionability thresholds. Finally, we highlight future directions for integrating MRD with multi-omics and AI-driven analytical frameworks to enable adaptive, risk-informed cancer management and advanced precision oncology.

Indexed as

circulating tumor DNApatient-informed minimal residual diseaseprecision oncologypredictive biomarkers

Identifiers

PMID41976272
PMCPMC13072263

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.