Evidence map›Paper›PMID 37881109›Full record

ArticleCancer medicine2023

A novel screening method of DNA methylation biomarkers helps to improve the detection of colorectal cancer and precancerous lesions.

Yuan Li, Bin Li, Rou Jiang, Leen Liao, Chunting Zheng, Jie Yuan, Liuhong Zeng, Kunling Hu, Yuyu Zhang, Weijian Mei and 9 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Signaling pathways and targeted interventions for precancers.Signal transduction and targeted therapy · 2026
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  7. Article
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  12. Regulation of Metastasis and Growth of Colorectal CancerRecent patents on anti-cancer drug discovery · 2025
    Article
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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

19 authors at 3 institutions in 1 country.

Yuan LiDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Bin LiBeijing BGI-GBI Biotech Co., Ltd, Beijing, China.
Rou JiangDepartment of Cancer Prevention Center, Sun Yat-sen University Cancer Center, Guangzhou, China.
Leen LiaoDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.ORCID 0000-0001-8716-0653
Chunting ZhengBeijing BGI-GBI Biotech Co., Ltd, Beijing, China.
Jie YuanDepartment of General Surgery, The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, China.
Liuhong ZengBeijing BGI-GBI Biotech Co., Ltd, Beijing, China.
Kunling HuBeijing BGI-GBI Biotech Co., Ltd, Beijing, China.
Yuyu ZhangBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Weijian MeiDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Zhigang HongDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Binyi XiaoDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.ORCID 0000-0002-7675-3207
Lingheng KongDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Kai HanDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Jinghua TangDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.ORCID 0000-0001-6492-4753
Wu JiangDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Zhizhong PanDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Shenyan ZhangBGI Genomics, BGI-Shenzhen, Shenzhen, China.
Peirong DingDepartment of Colorectal Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Sun Yat-sen University · CNBGI Group (China) · CNThird Affiliated Hospital of Southern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is one of the most common malignancies, and early detection plays a crucial role in enhancing curative outcomes. While colonoscopy is considered the gold standard for CRC diagnosis, noninvasive screening methods of DNA methylation biomarkers can improve the early detection of CRC and precancerous lesions.

methodsBioinformatics and machine learning methods were used to evaluate CRC-related genes within the TCGA database. By identifying the overlapped genes, potential biomarkers were selected for further validation. Methylation-specific PCR (MSP) was utilized to identify the associated genes as biomarkers. Subsequently, a real-time PCR assay for detecting the presence of neoplasia or cancer of the colon or rectum was established. This screening approach involved the recruitment of 978 participants from five cohorts.

resultsThe genes with the highest specificity and sensitivity were Septin9, AXL4, and SDC2. A total of 940 participants were involved in the establishment of the final PCR system and the subsequent performance evaluation test. A multiplex TaqMan real-time PCR system has been illustrated to greatly enhance the ability to detect precancerous lesions and achieved an accuracy of 87.8% (95% CI 82.9-91.5), a sensitivity of 82.7% (95% CI 71.8-90.1), and a specificity of 90.1% (95% CI 84.3-93.9). Moreover, the detection rate of precancerous lesions of this assay reached 55.0% (95% CI 38.7-70.4).

conclusionThe combined detection of the methylation status of SEPT9, SDC2, and ALX4 in plasma holds the potential to further enhance the sensitivity of CRC detection.

Indexed as

Colorectal NeoplasmsPrecancerous ConditionsBiomarkers, TumorCytoskeletal ProteinsDNA MethylationEarly Detection of CancerHumansSensitivity and SpecificityBiomarkers, TumorCytoskeletal Proteinscell-free DNAcolorectal cancerDNA methylation biomarkersnoninvasive screening

Identifiers

PMID37881109
PMCPMC10660402
OpenAlexW4387948926

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.