Evidence map›Paper›PMID 35419280›Full record

ArticleFrontiers in oncology2022

A Novel Stool Methylation Test for the Non-Invasive Screening of Gastric and Colorectal Cancer.

Liang Ma, Jian Gong, Meimei Zhao, Xiaomu Kong, Peng Gao, Yongwei Jiang, Yi Liu, Xiaoyan Feng, Shuang Si, Yongtong Cao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Liang MaDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Jian GongDepartment of Research and Development, Apexbio Biotechnology (Suzhou) Co., Ltd., Suzhou, China.
Meimei ZhaoDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Xiaomu KongDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Peng GaoDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Yongwei JiangDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Yi LiuDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
Xiaoyan FengDepartment of Research and Development, Apexbio Biotechnology (Suzhou) Co., Ltd., Suzhou, China.
Shuang SiDepartment of General Surgery, China-Japan Friendship Hospital, Beijing, China.
Yongtong CaoDepartment of Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China.
China-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Because of poor compliance or low sensitivity, existing diagnostic approaches are unable to provide an efficient diagnosis of patients with gastric and colorectal cancer. Here, we developed the ColoCaller test, which simultaneously detects the methylation status of the SDC2, TFPI2, WIF1, and NDRG4 genes in stool DNA, to optimize the screening of gastric and colorectal cancer in high-risk populations. Methods: A total of 217 stool samples from patients with gastrointestinal cancer and from patients with negative endoscopy were prospectively collected, complete with preoperative and postoperative clinical data from patients. The methylation of these samples was detected using ColoCaller, which was designed by selecting CpGs with a two-step screening strategy, and was interpreted using a prediction model built using libSVM to evaluate its clinical value for gastric and colorectal cancer screening. Results: Compared to pathological diagnosis, the sensitivity and specificity of the ColoCaller test in 217 stool DNA samples were 95.56% and 91.86%, respectively, for colorectal cancer, and 67.5% and 97.81%, respectively, for gastric cancer. The detection limit was as low as 1% in 8 ng of DNA. Conclusion: In this study, we developed and established a new test, ColoCaller, which can be used as a screening tool or as an auxiliary diagnostic approach in high-risk populations with gastric and colorectal cancer to promote timely diagnosis and treatment.

Indexed as

early detectiongastric and colorectal cancermethylationmulti-genesupport vector machine

Identifiers

PMID35419280
PMCPMC8995552
OpenAlexW4220916340

What OpenQuestion holds

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LicenceCC BY
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.