Evidence map›Paper›PMID 34447694›Full record

ArticleFrontiers in oncology2021

Fecal Bacteria as Non-Invasive Biomarkers for Colorectal Adenocarcinoma.

Biao Yuan, Bin Ma, Jing Yu, Qingkai Meng, Tao Du, Hongyi Li, Yueyan Zhu, Zikui Sun, Siping Ma, Chun Song

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 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Improvement Effect ofFrontiers in immunology · 2022
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  7. [Comparative Analysis of Oral and Gut Microbiota Composition in Children Aged 3-5 Years With Different Body Mass Indexes in Urumqi].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
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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.

Biao YuanDepartment of Gastroenterological Surgery, Shanghai East Hospital, Tongji University of Medicine, Shanghai, China.
Bin MaDepartment of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
Jing YuResearch and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
Qingkai MengDepartment of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
Tao DuDepartment of Gastroenterological Surgery, Shanghai East Hospital, Tongji University of Medicine, Shanghai, China.
Hongyi LiResearch and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
Yueyan ZhuResearch and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
Zikui SunResearch and Development Department, Shanghai Personal Biotechnology Co., Ltd, Shanghai, China.
Siping MaDepartment of Colorectal Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
Chun SongDepartment of Gastroenterological Surgery, Shanghai East Hospital, Tongji University of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal adenocarcinoma (CRC) ranks one of the five most lethal malignant tumors both in China and worldwide. Early diagnosis and treatment of CRC could substantially increase the survival rate. Emerging evidence has revealed the importance of gut microbiome on CRC, thus fecal microbial community could be termed as a potential screen for non-invasive diagnosis. Importantly, few numbers of bacteria genus as non-invasive biomarkers with high sensitivity and specificity causing less cost would be benefitted more in clinical compared with the whole microbial community analysis. Here we analyzed the gut microbiome between CRC patients and healthy people using 16s rRNA sequencing showing the divergence of microbial composition between case and control. Furthermore, ExtraTrees classifier was performed for the classification of CRC gut microbiome and heathy control, and 13 bacteria were screened as biomarkers for CRC. In addition, 13 biomarkers including 12 bacteria genera and FOBT showed an outstanding sensitivity and specificity for discrimination of CRC patients from healthy controls. This method could be used as a non-invasive method for CRC early diagnosis.

Indexed as

16s rRNA sequencingbiomarkercolorectal adenocarcinomagut microbiomemachine learningnon-invasive diagnosis

Identifiers

PMID34447694
PMCPMC8383742

What OpenQuestion holds

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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.