Evidence map›Paper›PMID 34422640›Full record

ArticleFrontiers in oncology2021

Global Analysis of Microbiota Signatures in Four Major Types of Gastrointestinal Cancer.

Jihan Wang, Yangyang Wang, Zhenzhen Li, Xiaoguang Gao, Dageng Huang

Open access · goldAbstract 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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.0field-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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Review
  3. The role of theFrontiers in microbiology · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. The relationship between the gastric cancer microbiome and clinicopathological factors: a metagenomic investigation from the 100,000 genomes project and The Cancer Genome Atlas.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  8. Article
  9. Review
  10. A Prognostic Riskscore Model Related toInternational journal of genomics · 2025
    Article
  11. Review
  12. Disturbance of the human gut microbiota in patients with Myotonic Dystrophy type 1.Computational and structural biotechnology journal · 2024
    Article
  13. Review
  14. Review
  15. Article
  16. Intratumoral microorganisms in tumors of the digestive system.Cell communication and signaling : CCS · 2024
    Review
  17. Article
  18. Review
  19. Article
  20. Article
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

5 authors at 2 institutions in 1 country.

Jihan WangInstitute of Medical Research, Northwestern Polytechnical University, Xi'an, China.
Yangyang WangSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an, China.
Zhenzhen LiInstitute of Medical Research, Northwestern Polytechnical University, Xi'an, China.
Xiaoguang GaoSchool of Electronics and Information, Northwestern Polytechnical University, Xi'an, China.
Dageng HuangDepartment of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Northwestern Polytechnical University · CNXi'an Honghui Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota has been previously linked with tumorigenesis and gastrointestinal cancer progression; however, intra-tumor microbiota analysis has just emerged and deserves increasing attention. Based on the public databases of The Cancer Microbiome Atlas (TCMA) and The Cancer Genome Atlas (TCGA), this study identified the tissue/organ microbial signatures generated from 443 biosamples of four major gastrointestinal cancer types, including esophageal carcinoma (ESCA), which further includes esophageal adenocarcinoma (EAD) and esophageal squamous cell carcinoma (ESCC), stomach adenocarcinoma (STAD), colon adenocarcinoma (COAD), and rectum adenocarcinoma (READ). According to partial least squares discrimination analysis (PLS-DA), the profile differences in microbial communities between the tumor and normal samples were not particularly noticeable across the four cancer cohorts, whereas paired comparison analyses revealed several specific differences in bacteria between tumor and normal samples in the EAD, STAD, and COAD samples. The taxa classified from the phylum to genus level revealed a trend of distinguishable microbial profiles between upper and lower gastrointestinal tumors. The Bacteroidetes/Firmicutes ratio in lower gastrointestinal tract tumors was nearly three times that in upper gastrointestinal tract tumors. We also determined the relative tissue/organ-prevalent microbes for each of the four cohorts at the order and genus levels. Microbe

Indexed as

biomarkergastrointestinal cancermicrobiota signatureTCGATCMA

Identifiers

PMID34422640
PMCPMC8375155
OpenAlexW3189860520

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.