Evidence map›Paper›PMID 33718241›Full record

ArticleFrontiers in oncology2021

Fecal Multidimensional Assay for Non-Invasive Detection of Colorectal Cancer: Fecal Immunochemical Test, Stool DNA Mutation, Methylation, and Intestinal Bacteria Analysis.

Shaobo Mo, Hui Wang, Lingyu Han, Wenqiang Xiang, Weixing Dai, Pengfei Zhao, Fengchun Pei, Zhixi Su, Chengcheng Ma, Qi Li and 5 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  8. [Gastric Cancer and Gastric Microbiome].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2023
    Review
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  15. Future of Colorectal Cancer Screening: From One-Size-FITs-All to Tailor-Made.Frontiers in gastroenterology (Lausanne, Switzerland) · 2022
    Review
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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

15 authors.

Shaobo MoDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Hui WangDepartment of Research and Development, Singlera Genomics (Shanghai) Ltd., Shanghai, China.
Lingyu HanDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Wenqiang XiangDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Weixing DaiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Pengfei ZhaoDepartment of Research and Development, Singlera Genomics (Shanghai) Ltd., Shanghai, China.
Fengchun PeiDepartment of Research and Development, Singlera Genomics (Shanghai) Ltd., Shanghai, China.
Zhixi SuDepartment of Research and Development, Singlera Genomics (Shanghai) Ltd., Shanghai, China.
Chengcheng MaDepartment of Research and Development, Singlera Genomics (Shanghai) Ltd., Shanghai, China.
Qi LiDepartment of Medical Oncology and Cancer Institute, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhimin WangShanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center, Shanghai Industrial Technology Institute, Shanghai, China.
Sanjun CaiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Hao WangDepartment of Colorectal Surgery, Chang Hai Hospital, Naval Medical University, Shanghai, China.
Rui LiuDepartment of Research and Development, Singlera Genomics (Shanghai) Ltd., Shanghai, China.
Guoxiang CaiDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFecal immunochemical test (FIT), DNA mutation, DNA methylation, and microbial dysbiosis all showed promising in colorectal cancer (CRC) non-invasive detection. We assessed CRC detection with an assay combining all these strategies and investigated the effect of clinical features on the performance of this comprehensive test.

methodsWe performed a multidimensional analysis study using stool samples collected from 108 patients with CRC, 18 patients with colorectal adenoma, and 36 individuals with no evidence of colorectal disease. The multidimensional analysis of stool samples including FIT, stool DNA (sDNA) tests for three methylated genes (Septin9, NDRG4, BMP3) and three mutated genes (KRAS, BRAF, PI3KCA) using next generation sequencing as well as detection of stool bacteria level of

resultsThe sensitivity of FIT alone was 69.4% for CRC and 11.1% for adenoma. Separately, the sensitivity of the detection of intestinal bacteria, DNA mutation, and DNA methylation for CRC was 58.3, 50.0, and 51.9%, respectively. The combination of FIT and sDNA tests had a sensitivity of 81.5% for CRC (AUC: 0.93, better than FIT alone, P = 0.017) and 27.8% for adenoma with 94.4% specificity. Sensitivity of the multidimensional test to detect CRC with stage II (84.6%) and III (91.9%) CRC was relatively higher (88.2%) than that of patients with stage I (60.0%) and stage IV (75.0%) (P = 0.024). The rate of CRC detection increased with tumor size (P = 0.008) and age (P = 0.04). Interestingly, the rate of CRC detection was higher in smoking persons than non-smokers with marginal significance (P = 0.08).

conclusionsThe multidimensional assay of stool samples combining FIT and stool DNA tests further improved the diagnostic sensitivity for CRC. This could provide new approach for improvement of CRC screening and further demonstrations are warranted.

Indexed as

cancer screeningcolorectal cancerfecal biomarkerhuman gut microbiomemethylation

Identifiers

PMID33718241
PMCPMC7947614

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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.