Evidence map›Paper›PMID 31456088›Full record

ArticleJournal of cancer research and clinical oncology2019

A novel panel of stool-based DNA biomarkers for early screening of colorectal neoplasms in a Chinese population.

Minghao Sun, Jie Liu, Hao Hu, Peng Guo, Zhili Shan, Hengying Yang, Junyi Wang, Wen Xiao, Xiaojun Zhou

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 6 pooled it
1.9field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 6 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  18. Novel Diagnostic Biomarkers in Colorectal Cancer.International journal of molecular sciences · 2022
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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

9 authors at 2 institutions in 1 country.

Minghao Sun *Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
Jie Liu *1Gene Bio-tech Co., Ltd., Hangzhou, 310026, Zhejiang, China.
Hao HuDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
Peng GuoDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
Zhili ShanDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
Hengying YangDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China.
Junyi Wang1Gene Bio-tech Co., Ltd., Hangzhou, 310026, Zhejiang, China.
Wen Xiao1Gene Bio-tech Co., Ltd., Hangzhou, 310026, Zhejiang, China. xiaowen2013cpu@163.com.
Xiaojun ZhouDepartment of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, China. chowxj@126.com.ORCID http://orcid.org/0000-0001-6352-9719
Soochow University · CNZhejiang Sci-Tech University · CN

Funding

Special Technical Project of Diagnosis and Treatment of Key Clinical Diseases of Suzhou LCZX201813Suzhou Natural Science Foundation SS201875the Project of Invigorating Health Care through Science, Technology and Education, Jiangsu Provincial Medical Youth Talent QNRC2016725
6 · The paper itself

Abstract

purposeThe mortality of colorectal cancer ranked fifth in China according to cancer statistics in 2015. Cancer screening had been repeatedly proved to play a vital role in decreasing the incidence and mortality of colorectal cancer, but the existing screening methods could not meet the requirements. So it is of urgent need to develop a non-invasive, convenient and accurate screening method.

methodsIn this study, stool samples were collected from 102 colorectal cancer, 20 colorectal adenoma, 6 hyperplastic polyps patients and 105 normal controls, and stool DNA was extracted for detection of methylation (BMP3, NDRG4, SDC2 and SFRP2) and KRAS mutations. Meanwhile, hemoglobin in stool samples was detected by immunoassays. Then, the logistic regression model used for classification was built with these biomarkers, and a ROC curve was drawn to evaluate the performance of each biomarker and the panel of them. Meanwhile, conventional serum biomarkers were detected for the comparison of positive rate in colorectal cancer between serum biomarkers and stool DNA biomarkers.

resultsAs a result, a classification model built with methylation of SDC2 and SFRP2, KRAS mutations and hemoglobin showed a sensitivity of 91.4% for colorectal cancer and 60% for adenoma with the specificity of 86.1%. Compared with it, most of the conventional serum biomarkers showed a sensitivity of less than 20% for colorectal cancer which was significantly lower than stool DNA biomarkers.

conclusionsA novel panel comprised of stool DNA biomarkers was of much higher sensitivity and specificity in early screening of colorectal neoplasms than conventional serum biomarkers.

Indexed as

Biomarkers, TumorDNA, NeoplasmAdenomaChinaColonic PolypsColonoscopyColorectal NeoplasmsDNA MethylationEarly Detection of CancerFecesFemaleHumansMaleMass ScreeningMutationNeoplasm StagingBiomarkers, TumorDNA, NeoplasmKRAS protein, humanProto-Oncogene Proteins p21(ras)Colorectal neoplasmsDNA methylationEarly screeningNon-invasiveStool based

Identifiers

PMID31456088
PMCPMC11810341
OpenAlexW2970596913

What OpenQuestion holds

Textmetadata
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.