Evidence map›Paper›PMID 35752764›Full record

ArticleBMC gastroenterology2022

The gut microbiota composition in patients with right- and left-sided colorectal cancer and after curative colectomy, as analyzed by 16S rRNA gene amplicon sequencing.

Daisuke Suga, Hiroki Mizutani, Shunsuke Fukui, Mayu Kobayashi, Yasuaki Shimada, Yuuichi Nakazawa, Yuuki Nishiura, Yuuya Kawasaki, Isao Moritani, Yutaka Yamanaka and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Emerging trends in the global burden of colorectal cancer.Nature reviews. Clinical oncology · 2026
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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

18 authors at 2 institutions in 1 country.

Daisuke SugaDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Hiroki MizutaniDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Shunsuke FukuiDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Mayu KobayashiDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Yasuaki ShimadaDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Yuuichi NakazawaDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Yuuki NishiuraDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Yuuya KawasakiDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Isao MoritaniDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Yutaka YamanakaDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Hidekazu InoueDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Eiki OjimaDepartment of Surgery, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Yasuhiko MohriDepartment of Surgery, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Hayato NakagawaDepartment of Gastroenterology, Mie University Graduate School of Medicine, Tsu, 514-8507, Japan.
Kaoru DohiDepartment of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, 514-8507, Japan.
Kei TakabaDepartment of Research Center, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Hideo WadaDepartment of Research Center, Mie General Medical Center, Yokkaichi, 510-8561, Japan.
Katsuya ShirakiDepartment of Gastroenterology, Mie General Medical Center, Yokkaichi, 510-8561, Japan. katsuya-shiraki@mie-gmc.jp.
Mie Chuo Medical Center · JPMie University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGut pathological microbial imbalance or dysbiosis is closely associated with colorectal cancer. Although there are observable differences in molecular and clinical characteristics between patients with right- and left-sided colon cancer, differences in their gut microbiomes have not been thoroughly investigated. Furthermore, subsequent changes in microbiota status after partial colectomy remain unknown. We examined the human gut microbiota composition to determine its relationship with colon cancer and partial colon resection according to location.

methodsStool samples from forty-one subjects (10 in the control group, 10 in the right-sided colon cancer [RCC] group, 6 in the sigmoid colon cancer [SCC] group, 9 in the right colon resection [RCR] group and 6 in the sigmoid colon resection [SCR] group) were collected, and DNA was extracted. After terminal restriction fragment length polymorphism (T-RFLP) analysis, the samples were subjected to 16S rRNA gene amplicon sequencing, and the metabolic function of the microbiota was predicted using PICRUSt2.

resultsT-RFLP analysis showed a reduced ratio of clostridial cluster XIVa in the SCC patients and clostridial cluster IX in the RCC patients, although these changes were not evident in the RCR or SCR patients. 16S rRNA gene amplicon sequencing demonstrated that the diversity of the gut microbiota in the RCC group was higher than that in the control group, and the diversity in the SCR group was significantly higher than that in the RCR group. Principal coordinate analysis (PCoA) revealed significant differences according to the group. Analyses of the microbiota revealed that Firmicutes was significantly dominant in the RCC group and that the SCC group had a higher abundance of Verrucomicrobia. At the genus level, linear discriminant analysis effect size (LEfSe) revealed several bacteria, such as Ruminococcaceae, Streptococcaceae, Clostridiaceae, Gemellaceae, and Desulfovibrio, in the RCC group and several oral microbiomes in the SCC group. Metabolic function prediction revealed that cholesterol transport- and metabolism-related enzymes were specifically upregulated in the RCC group and that cobalamin metabolism-related enzymes were downregulated in the SCC group.

conclusionGut microbial properties differ between RCC and SCC patients and between right hemicolectomy and sigmoidectomy patients and may contribute to clinical manifestations.

Indexed as

Carcinoma, Renal CellColonic NeoplasmsColorectal NeoplasmsGastrointestinal MicrobiomeKidney NeoplasmsColectomyGenes, rRNAHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA gene amplicon sequencingColon cancerMicrobiotaT-RFLP

Identifiers

PMID35752764
PMCPMC9233765
OpenAlexW4283457999

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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.