Evidence map›Paper›PMID 35727391›Full record

ArticleInvestigational new drugs2022

A comprehensive analysis of the microbiota composition and host driver gene mutations in colorectal cancer.

Danping Yuan, Yong Tao, Haoyi Wang, Jiawei Wang, Yuepeng Cao, Wen Cao, Shou Pan, Zhaonan Yu

Abstract read
In one paragraph

Article in Investigational new drugs, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Article
  12. Increased abundance ofOncology letters · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
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

8 authors.

Danping YuanDepartment of Colorectal Surgery, Ningbo First Hospital, Ningbo, China. danpingyuan2021@163.com.
Yong TaoDepartment of Colorectal Surgery, Ningbo First Hospital, Ningbo, China.
Haoyi WangHangzhou D.A. Medical Laboratory, Hangzhou, 310030, China.
Jiawei WangHangzhou D.A. Medical Laboratory, Hangzhou, 310030, China.
Yuepeng CaoDepartment of Colorectal Surgery, Ningbo First Hospital, Ningbo, China.
Wen CaoHangzhou D.A. Medical Laboratory, Hangzhou, 310030, China.
Shou PanHangzhou D.A. Medical Laboratory, Hangzhou, 310030, China.
Zhaonan YuHangzhou D.A. Medical Laboratory, Hangzhou, 310030, China. yuzhaonan870213@163.com.ORCID http://orcid.org/0000-0003-4725-1379

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of both, microbiota and target therapy associated with gene mutations in colorectal cancer, (CRC) have attracted increasing attention. However, only a few of them analyzed the combined effects on CRC. we analyzed differences in intestinal microbiota of 44 colorectal cancer patients and 20 healthy controls (HC) using 16S rRNA gene sequencing of fecal samples. For 39 of the CRC patients, targeted Next Generation Sequencing (NGS) was carried out at formalin fixed paraffin embedded (FFPE) samples to identify somatic mutation profiles. Compared to the HC group, the microbial diversity of CRC patients was significantly lower. In the CRC group, we found a microbiome that was significantly enriched for strains of Bifidobacterium, Bacteroides, and Megasphaera whereas in the HC group the abundance of Collinsella, Faecalibacterium, and Agathobacter strains was higher. Among the mutations detected in the CRC group, the APC gene had the highest mutation rate (77%, 30/39). We found that the KRAS mutant type was closely associated with Faecalibacterium, Roseburia, Megamonas, Lachnoclostridium, and Harryflintia. Notably, Spearman correlation analysis showed that KRAS mutations were negatively correlated with the existence of Bifidobacterium and positively correlated with Faecalibacterium. By employing 16S rRNA gene sequencing, we identified more unique features of microbiota profiles in CRC patients. For the first time, our study showed that gene mutations could directly be linked to the microbiota composition of CRC patients. We hypothesize that the effect of a targeted colorectal cancer therapy is also closely related to the colorectal flora, however, this requires further investigation.

Indexed as

Colorectal NeoplasmsMicrobiotaHumansMutationProto-Oncogene Proteins p21(ras)RNA, Ribosomal, 16SProto-Oncogene Proteins p21(ras)RNA, Ribosomal, 16S16SColorectal cancerDriver gene mutationMicrobiotaTarget therapy

Identifiers

PMID35727391
PMCPMC9395472

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.