Evidence map›Paper›PMID 40384986›Full record

ReviewMedComm2025

Minimal Residual Disease Detection: Implications for Clinical Diagnosis and Cancer Patient Treatment.

Meiling Song, Wenjing Pan, Xinjie Yu, Jie Ren, Congli Tang, Zhu Chen, Zhe Wang, Yan Deng, Nongyue He, Hongna Liu and 1 more

Abstract readReview
In one paragraph

Review in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
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  8. [Ovarian tissue cryopreservation and transplantation: a review of clinical progress in fertility preservation].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025
    Review
  9. Review
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

11 authors.

Meiling SongHunan Key Laboratory of Biomedical Nanomaterials and Devices Hunan University of Technology Zhuzhou China.
Wenjing PanDepartment of Cell Biology and Genetics School of Basic Medical Sciences Hengyang Medical School University of South China Hengyang China.
Xinjie YuHunan Key Laboratory of Biomedical Nanomaterials and Devices Hunan University of Technology Zhuzhou China.
Jie RenDepartment of Cell Biology and Genetics School of Basic Medical Sciences Hengyang Medical School University of South China Hengyang China.
Congli TangState Key Laboratory of Bioelectronics School of Biological Science and Medical Engineering Southeast University Nanjing China.
Zhu ChenDepartment of Cell Biology and Genetics School of Basic Medical Sciences Hengyang Medical School University of South China Hengyang China.
Zhe WangGuangdong Provincial Hospital of Chinese Medicine & Guangdong Provincial Academy of Chinese Medical Sciences Guangzhou China.
Yan DengDepartment of Cell Biology and Genetics School of Basic Medical Sciences Hengyang Medical School University of South China Hengyang China.
Nongyue HeHunan Key Laboratory of Biomedical Nanomaterials and Devices Hunan University of Technology Zhuzhou China.
Hongna LiuDepartment of Cell Biology and Genetics School of Basic Medical Sciences Hengyang Medical School University of South China Hengyang China.
Song LiHunan Key Laboratory of Biomedical Nanomaterials and Devices Hunan University of Technology Zhuzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimal residual disease (MRD) serves as a pivotal biomarker for the clinical diagnosis and subsequent treatment of cancer patients. In hematological malignancies, MRD pose an increasingly serious threat to the health of Chinese people. Accurate MRD detection is essential for assessing relapse risk and optimizing therapeutic strategies, yet current methods such as flow cytometry, polymerase chain reaction (PCR), and next-generation sequencing (NGS) each have distinct limitations, and significant gaps remain in achieving optimal sensitivity and specificity of these technologies. This review provides a comprehensive analysis of MRD detection methods, high-lighting their clinical implications, including their roles in treatment decision-making, risk stratification, and patient outcomes. It discusses the strengths and weaknesses of existing techniques and explores emerging technologies that promise enhanced diagnostic precision. Key advancements such as integrating NGS with other methodologies and novel approaches like liquid biopsy and PCR are examined. The review underscores the academic and practical value of early and accurate MRD detection, emphasizing its impact on improving patient management and treatment outcomes. By addressing the limitations of current technologies and exploring future directions, this review aims to advance the field and support personalized medicine approaches to cancer treatment.

Indexed as

clinical implicationdetection methodsMRDnext‐generation sequencing

Identifiers

PMID40384986
PMCPMC12079024

What OpenQuestion holds

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Registered trials

None linked

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.