Evidence map›Paper›PMID 36200910›Full record

ArticleThe oncologist2023

Mutation-Agnostic Detection of Colorectal Cancer Using Liquid Biopsy-Based Methylation-Specific Signatures.

Mohamed A Gouda, Dzifa Y Duose, Morten Lapin, Stephanie Zalles, Helen J Huang, Yuanxin Xi, Xiaofeng Zheng, Amira I Aldesoky, Alshimaa M Alhanafy, Mohamed A Shehata and 6 more

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. ctDNA Analysis in ERBB2-Amplified Colorectal Cancer: Biomarker Analysis of the MyPathway Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 3 countries.

Mohamed A GoudaDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0003-4829-6739
Dzifa Y DuoseDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Morten LapinDepartment of Hematology and Oncology, Stavanger University Hospital, Stavanger, Norway.
Stephanie ZallesDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Helen J HuangDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA.
Yuanxin XiDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Xiaofeng ZhengDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Amira I AldesokyDepartment of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Menoufia University, Shebin Al-Kom, Egypt.
Alshimaa M AlhanafyDepartment of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Menoufia University, Shebin Al-Kom, Egypt.
Mohamed A ShehataDepartment of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Menoufia University, Shebin Al-Kom, Egypt.
Jing WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Scott KopetzDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.ORCID 0000-0001-9647-3416
Funda Meric-BernstamDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA.
Ignacio I WistubaDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Rajyalakshmi LuthraDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Filip JankuDepartment of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, USA.
The University of Texas MD Anderson Cancer Center · USMenoufia University · EGStavanger University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of methylation patterns in circulating tumor DNA (ctDNA) can offer a novel approach for cancer diagnostics given the unique signature for each tumor type. We developed a next-generation sequencing (NGS)-based assay targeting 32 CpG sites to detect colorectal cancer-specific ctDNA. NGS was performed on bisulfite-converted libraries and status dichotomization was done using median methylation ratios at all targets. We included plasma samples from patients with metastatic colorectal (n = 20) and non-colorectal cancers (n = 8); and healthy volunteers (n = 4). Median methylation ratio was higher in colorectal cancer compared with non-colorectal cancers (P = .001) and normal donors (P = .005). The assay detected ctDNA in 85% of patients with colorectal cancer at a specificity of 92%. Notably, we were able to detect methylated ctDNA in 75% of patients in whom ctDNA was not detected by other methods. Detection of methylated ctDNA was associated with shorter median progression-free survival compared to non-detection (8 weeks versus 54 weeks; P = .027).

Indexed as

Circulating Tumor DNAColorectal NeoplasmsNeoplasmsBiomarkers, TumorHumansLiquid BiopsyMethylationMutationBiomarkers, TumorCirculating Tumor DNAcirculating tumor DNAcolorectal cancerliquid biopsymethylation

Identifiers

PMID36200910
PMCPMC10078907
OpenAlexW4302761343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.