Evidence map›Paper›PMID 40033897›Full record

ReviewCancer reports (Hoboken, N.J.)2025

The Method of Minimal Residual Disease Detection With Circulating Tumor DNA and Its Clinical Applications in Colorectal Cancer.

Ming Liu, Tianhao Mu, Jia Gu, Mingyan Xu, Shifu Chen

Abstract readReview
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors.

Ming LiuHaploX Biotechnology, Shenzhen, China.ORCID 0000-0002-6701-3338
Tianhao MuHaploX Biotechnology, Shenzhen, China.
Jia GuFaculty of Data Science, City University of Macau, Macau, China.
Mingyan XuHaploX Biotechnology, Shenzhen, China.
Shifu ChenHaploX Biotechnology, Shenzhen, China.

Funding

Guangdong Province Key Areas R&D Plan Project Fund 2023B0909020003Guangdong Province Key Areas R&D Plan Project Fund 2023B1111040002Shenzhen Science and Technology Innovation Committee Technical Research Project JSGG20201103153801005
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) remains a significant health concern in the world. The existing standard of care guidelines for CRC surveillance fall short of effectively and timely detecting recurrence or metastasis. RECENT

findingsIn recent years, circulating tumor DNA (ctDNA) has emerged as a promising material for minimal residual disease (MRD) detection. In this article, we provide an exhaustive review of the methods utilized for MRD detection via ctDNA, present evidence supporting the potential of ctDNA MRD as a valuable biomarker in clinical applications, and engage in a discussion regarding ongoing ctDNA MRD-based clinical trials in CRC. Finally, we offer insights into future prospects of ctDNA-based MRD methodological advancements and clinical research.

conclusionIt is foreseeable that more sensitive, flexible, and economical MRD detection methods will emerge with the deeper research on cell-free DNA (cfDNA) genomics, fragmentomics, methylomes, and nucleosome imprinting. At the same time, MRD-guided intervention studies will evolve for revolutionizing the treatment paradigm of CRC.

Indexed as

Biomarkers, TumorCirculating Tumor DNAColorectal NeoplasmsNeoplasm Recurrence, LocalNeoplasm, ResidualHumansBiomarkers, TumorCirculating Tumor DNAcirculating tumor DNAclinical applicationsclinical trialscolorectal cancerminimal residual disease

Identifiers

PMID40033897
PMCPMC11876780

What Socratic holds

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LicenceCC BY
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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 Socratic graph.