Evidence map›Paper›PMID 41245504›Full record

ArticleCase reports in oncological medicine2025

Noninvasive Therapeutic Monitoring of Circulating Tumor DNA in BRAF-Mutant Metastatic Colon Cancer Using Droplet Digital PCR, Next-Generation Sequencing, and Fragmentomics.

Rachel C T Lam, Connie W C Hui, Irene O L Tse, Qing Zhou, Chit Chow, Wei Kang, K C Allen Chan, Brigette B Y Ma, W K Jacky Lam

Abstract readCase Reports
In one paragraph

Article in Case reports in oncological medicine, 2025. 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. 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

9 authors.

Rachel C T LamFaculty of Medicine, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong.ORCID https://orcid.org/0000-0002-1449-2953
Connie W C HuiState Key Laboratory of Translational Oncology, Sir YK Pao Centre for Cancer, Shatin, Hong Kong.ORCID https://orcid.org/0009-0006-8989-1293
Irene O L TseDepartment of Chemical Pathology, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong.
Qing ZhouDepartment of Chemical Pathology, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong.ORCID https://orcid.org/0000-0001-7737-9643
Chit ChowDepartment of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong.ORCID https://orcid.org/0000-0002-2364-8331
Wei KangState Key Laboratory of Translational Oncology, Sir YK Pao Centre for Cancer, Shatin, Hong Kong.ORCID https://orcid.org/0000-0002-4651-677X
K C Allen ChanState Key Laboratory of Translational Oncology, Sir YK Pao Centre for Cancer, Shatin, Hong Kong.ORCID https://orcid.org/0000-0003-1780-1691
Brigette B Y MaState Key Laboratory of Translational Oncology, Sir YK Pao Centre for Cancer, Shatin, Hong Kong.ORCID https://orcid.org/0000-0003-4802-1102
W K Jacky LamState Key Laboratory of Translational Oncology, Sir YK Pao Centre for Cancer, Shatin, Hong Kong.ORCID https://orcid.org/0000-0001-8922-5609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Methods: A 40-year-old man diagnosed with metastatic Results: ctDNA and fragmentomics biomarkers were concordant with, and even preceded traditional serological and radiological biomarkers in predicting disease progression. Molecular analyses and drug testing also revealed mutations that are either potentially targetable or account for resistance, which guided the subsequent treatment regimen. Conclusion: This case demonstrates the potential application of ctDNA and fragmentomics biomarkers, molecular analyses, and drug testing in noninvasive therapeutic monitoring of

Identifiers

PMID41245504
PMCPMC12618127

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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.