Evidence map›Paper›PMID 32071370›Full record

ArticleScientific reports2020

Colorectal cancer diagnostic model utilizing metagenomic and metabolomic data of stool microbial extracellular vesicles.

Da Jung Kim, Jinho Yang, Hochan Seo, Won Hee Lee, Dong Ho Lee, Sungmin Kym, Young Soo Park, Jae Gyu Kim, In-Jin Jang, Yoon-Keun Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 3 pooled it
5.3field-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

79 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.

  1. Colorectal neoplasia-specific amino acid profiles and their diagnostic potential: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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19 more citing papers are in PubMed but not listed here.

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

11 authors at 7 institutions in 4 countries.

Da Jung Kim *Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0002-2268-6029
Jinho Yang *Institute of MD Healthcare Inc, Seoul, Korea.ORCID http://orcid.org/0000-0001-7207-6846
Hochan SeoInstitute of MD Healthcare Inc, Seoul, Korea.
Won Hee LeeInstitute of MD Healthcare Inc, Seoul, Korea.
Dong Ho LeeDepartment of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea.
Sungmin KymDepartment of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
Young Soo ParkDepartment of Internal Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea.
Jae Gyu KimDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
In-Jin JangDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Yoon-Keun Kim *Institute of MD Healthcare Inc, Seoul, Korea. ykkim@mdhc.kr.
Joo-Youn Cho *Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. joocho@snu.ac.kr.ORCID http://orcid.org/0000-0001-9270-8273
Seoul National University · KRSeoul National University Bundang Hospital · KRChung-Ang University · KRInje University Haeundae Paik Hospital · KRKorea University · KRResearch & Development Institute · USSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the most common type cancers in the world. CRC occurs sporadically in the majority of cases, indicating the predominant cause of the disease are environmental factors. Diet-induced changes in gut-microbiome are recently supposed to contribute on epidemics of CRC. This study was aimed to investigate the association of metagenomics and metabolomics in gut extracellular vesicles (EVs) of CRC and healthy subjects. A total of 40 healthy volunteers and 32 patients with CRC were enrolled in this study. Metagenomic profiling by sequencing 16 S rDNA was performed for assessing microbial codiversity. We explored the small molecule metabolites using gas chromatography-time-of-flight mass spectrometry. In total, stool EVs were prepared from 40 healthy volunteers and 32 patients with CRC. Metagenomic profiling demonstrated that bacterial phyla, particularly of Firmicutes and Proteobacteria, were significantly altered in patients with colorectal cancer. Through metabolomics profiling, we determined seven amino acids, four carboxylic acids, and four fatty acids; including short-chain to long chain fatty acids that altered in the disease group. Binary logistic regression was further tested to evaluate the diagnostic performance. In summary, the present findings suggest that gut flora dysbiosis may result in alternation of amino acid metabolism, which may be correlated with the pathogenesis of CRC.

Indexed as

MetabolomicsBacteriaColorectal NeoplasmsDysbiosisExtracellular VesiclesFecesGastrointestinal MicrobiomeGene Expression Regulation, NeoplasticHumansMetagenomeMetagenomics

Identifiers

PMID32071370
PMCPMC7029032
OpenAlexW3008912032

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.