Evidence map›Paper›PMID 28179577›Full record

ArticleOncotarget2017

Investigations in the possibility of early detection of colorectal cancer by gas chromatography/triple-quadrupole mass spectrometry.

Shin Nishiumi, Takashi Kobayashi, Shuichi Kawana, Yumi Unno, Takero Sakai, Koji Okamoto, Yasuhide Yamada, Kazuki Sudo, Taiki Yamaji, Yutaka Saito and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 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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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

17 authors at 5 institutions in 1 country.

Shin NishiumiDivision of Metabolomics Research, Department of Internal Related, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Hyogo 650-0017, Japan.
Takashi KobayashiDivision of Metabolomics Research, Department of Internal Related, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Hyogo 650-0017, Japan.
Shuichi KawanaAnalytical and Measuring Instruments Division, Shimadzu Corporation, Nakagyo-ku, Kyoto 604-8511, Japan.
Yumi UnnoAnalytical and Measuring Instruments Division, Shimadzu Corporation, Nakagyo-ku, Kyoto 604-8511, Japan.
Takero SakaiAnalytical and Measuring Instruments Division, Shimadzu Corporation, Nakagyo-ku, Kyoto 604-8511, Japan.
Koji OkamotoDivision of Cancer Differentiation, National Cancer Center Research Institute, Tokyo 104-0045, Japan.
Yasuhide YamadaDepartment of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo 104-0045, Japan.
Kazuki SudoDepartment of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo 104-0045, Japan.
Taiki YamajiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Chuo-ku, Tokyo 104-0045, Japan.
Yutaka SaitoEndoscopy Division, National Cancer Center Hospital, Chuo-ku, Tokyo 104-0045, Japan.
Yukihide KanemitsuDepartment of Colorectal Surgery, National Cancer Center Hospital, Chuo-ku, Tokyo 104-0045, Japan.
Natsuko Tsuda OkitaDepartment of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Chuo-ku, Tokyo 104-0045, Japan.
Hiroshi SaitoDivision of Screening Assessment and Management, Center for Public Health Sciences, National Cancer Center, Chuo-ku, Tokyo 104-0045, Japan.
Shoichiro TsuganeCenter for Public Health Sciences, National Cancer Center, Chuo-ku, Tokyo 104-0045, Japan.
Takeshi AzumaDivision of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Hyogo 650-0017, Japan.
Noriyuki OjimaAnalytical and Measuring Instruments Division, Shimadzu Corporation, Nakagyo-ku, Kyoto 604-8511, Japan.
Masaru YoshidaDivision of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Hyogo 650-0017, Japan.
National Cancer Center Hospital East · JPShimadzu (Japan) · JPKobe University · JPJapan Agency for Medical Research and Development · JPNational Cancer Centre Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In developed countries, the number of patients with colorectal cancer has been increasing, and colorectal cancer is one of the most common causes of cancer death. To improve the quality of life of colorectal cancer patients, it is necessary to establish novel screening methods that would allow early detection of colorectal cancer. We performed metabolome analysis of a plasma sample set from 282 stage 0/I/II colorectal cancer patients and 291 healthy volunteers using gas chromatography/triple-quadrupole mass spectrometry in an attempt to identify metabolite biomarkers of stage 0/I/II colorectal cancer. The colorectal cancer patients included patients with stage 0 (N=79), I (N=80), and II (N=123) in whom invasion and metastasis were absent. Our analytical system detected 64 metabolites in the plasma samples, and the levels of 29 metabolites differed significantly (Bonferroni-corrected p=0.000781) between the patients and healthy volunteers. Based on these results, a multiple logistic regression analysis of various metabolite biomarkers was carried out, and a stage 0/I/II colorectal cancer prediction model was established. The area under the curve, sensitivity, and specificity values of this model for detecting stage 0/I/II colorectal cancer were 0.996, 99.3%, and 93.8%, respectively. The model's sensitivity and specificity values for each disease stage were >90%, and surprisingly, its sensitivity for stage 0, specificity for stage 0, and sensitivity for stage II disease were all 100%. Our predictive model can aid early detection of colorectal cancer and has potential as a novel screening test for cases of colorectal cancer that do not involve lymph node or distant metastasis.

Indexed as

MetabolomeAdultAgedAged, 80 and overBiomarkers, TumorColorectal NeoplasmsEarly Detection of CancerFemaleGas Chromatography-Mass SpectrometryHumansLogistic ModelsMaleMetabolomicsMiddle AgedReproducibility of ResultsROC CurveBiomarkers, Tumorbiomarkercolorectal cancergas chromatography/triple-quadrupole mass spectrometrymetabolitemetabolomics

Identifiers

PMID28179577
PMCPMC5370027
OpenAlexW2585248804

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.