Evidence map›Paper›PMID 30239257›Full record

ArticleCancer biology & therapy2019

Intestinal microorganisms involved in colorectal cancer complicated with dyslipidosis.

Shuwen Han, Yuefen Pan, Xi Yang, Miao Da, Qiang Wei, Yuhai Gao, Quan Qi, Lixin Ru

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  19. Blood lipids and risk of colon or rectal cancer: a Mendelian randomization study.Journal of cancer research and clinical oncology · 2021
    Article
  20. StandardizedFrontiers in pharmacology · 2021
    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

8 authors at 2 institutions in 1 country.

Shuwen Hana Department of Medical Oncology , Huzhou Central Hospital , Huzhou , Zhejiang , China.ORCID 0000-0001-6180-9565
Yuefen Pana Department of Medical Oncology , Huzhou Central Hospital , Huzhou , Zhejiang , China.
Xi Yangb Department of Intervention and Radiotherapy , Huzhou Central Hospital , Huzhou , Zhejiang Province , China.
Miao Dac Medical College of Nursing , Huzhou University , Huzhou , Zhejiang Province , China.
Qiang Weid Department of Gastrointestinal Surgery , Huzhou Central Hospital , Huzhou , Zhejiang , China.
Yuhai Gaod Department of Gastrointestinal Surgery , Huzhou Central Hospital , Huzhou , Zhejiang , China.
Quan Qia Department of Medical Oncology , Huzhou Central Hospital , Huzhou , Zhejiang , China.
Lixin Rub Department of Intervention and Radiotherapy , Huzhou Central Hospital , Huzhou , Zhejiang Province , China.
Huzhou Central Hospital · CNHuzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal lipid metabolism is considered to be one of main promoters of colorectal cancer (CRC), and intestinal microorganisms may be involved in CRC in patients with abnormal lipid metabolism.

objectiveTo investigate lipid metabolism in CRC patients and explore the role of intestinal microorganisms in CRC complicated with abnormal lipid metabolism.

methodsOverall, 150 CRC patients in Huzhou Central Hospital from January 2016 to September 2017 were recruited in the present study. Basic patient information and clinical serological indicators were investigated and analyzed. Twenty-one stool samples were collected from patients after receiving informed consent. Next-generation sequencing technology was used to sequence bacterial 16S ribosomal RNA. Bioinformatics analysis was used to profile the microbial composition and screen distinctive bacteria in patients with CRC complicated with abnormal lipid metabolism.

resultsApo B and FFA levels were higher in patients with stage I disease than in patients with other stages. HDL, LDL, Apo B and FFA levels were higher in female patients than in male patients. FFA level was higher in rectal cancer patients than in colon cancer patients. These differences were statistically significant (p < 0.05). The proportion of Escherichia/Shigella was increased in CRC patients with hyperlipoidaemia and hypercholesteremia; the abundance of Streptococcus was increased in CRC patients with hyperlipoidaemia; the abundance of Clostridium XIVa was reduced in CRC patients with hyperlipoidaemia and hypercholesteremia; and the abundance of Ruminococcaceae was reduced in CRC patients with hypercholesteremia. Bilophila and Butyricicoccus were closely related to CRC patients without hyperlipoidaemia or hypercholesteremia, and Selenomonas, Clostridium, Bacteroidetes Slackia, Burkholderiales and Veillonellaceae were closely related to CRC patients with hyperlipoidaemia. Some pathways, including secretion system, chaperones and folding catalysts, amino sugar and nucleotide sugar metabolism, arginine and proline metabolism, glycine, serine and threonine metabolism, histidine metabolism, pores and ion channels, nitrogen metabolism and sporulation, may be involved in lipid metabolism abnormality in CRC patients.

conclusionsMany CRC patients have abnormal lipid metabolism, and the intestinal microbiota is altered in these CRC patients.

Indexed as

AgedBacteriaColonColorectal NeoplasmsDNA, BacterialFecesFemaleGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansHyperlipidemiasIntestinal MucosaLipid MetabolismLipidsMaleMiddle AgedDNA, BacterialLipidsRNA, Ribosomal, 16Scolorectal cancerhyperlipidaemialipid metabolismmicroorganisms

Identifiers

PMID30239257
PMCPMC6343685
OpenAlexW2891511714

What OpenQuestion holds

Textmetadata
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.