Evidence map›Paper›PMID 35130625›Full record

ArticleActa biochimica et biophysica Sinica2022

The composition and functional profile of the microbial communities in human gastric cancer tissues and adjacent normal tissues.

Linli Shi, Qilin Fan, Bin Zhou, Jingjing Wu, Min Jin, Dandan Yu, Tao Zhang, Jun Song, Hongli Liu

Open access · greenAbstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 11 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

9 authors.

Linli Shi
Qilin Fan
Bin Zhou
Jingjing Wu
Min Jin
Dandan Yu
Tao Zhang
Jun Song
Hongli Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(.) is known to be a major risk factor for the development of gastric cancer. In recent years, increasing attention is being paid to the role of non-. (NHPHs) in this disease and the role of microorganisms in local tumor microenvironment. In this study, we aimed to compare the microbial community composition and the predicted functional profile in paired cancer and adjacent normal tissues of gastric cancer patients. Cancer tissues and adjacent normal tissues were collected from 10 patients with gastric cancer under endoscopy, and genomic DNA was extracted. The V3-V4 region of the 16S rRNA gene was amplified by PCR and paired-end sequencing was performed on the Illumina MiSeq System. The data was analyzed using QIIME 2 software. The results showed that microbial richness and diversity as well as genetic diversity are significantly lower in cancer tissues compared with adjacent normal tissues. At the phylum level, the dominant taxa are , , , and in both groups. At the genus level, some taxa, such as and, are significantly enriched in cancer tissues, while other taxa, such as , are enriched in adjacent normal tissues. Moreover, those taxa enriched in cancer tissues are associated with the synthesis and degradation of ketone bodies. In conclusion, there is a significant difference in the composition of the mucosa-related microbial communities between cancer tissues and adjacent normal tissues in patients with gastric cancer.

Indexed as

MicrobiotaStomach NeoplasmsHigh-Throughput Nucleotide SequencingHumansPolymerase Chain ReactionRNA, Ribosomal, 16STumor MicroenvironmentRNA, Ribosomal, 16S16S rRNAcarcinogenesisgastric cancermicrobial communitymicroenvironment

Identifiers

PMID35130625
PMCPMC9909298
OpenAlexW4206406169

What OpenQuestion holds

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LicenceCC BY
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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.