Evidence map›Paper›PMID 21915291›Full record

ArticlePloS one2011

Plasma free amino acid profiling of five types of cancer patients and its application for early detection.

Yohei Miyagi, Masahiko Higashiyama, Akira Gochi, Makoto Akaike, Takashi Ishikawa, Takeshi Miura, Nobuhiro Saruki, Etsuro Bando, Hideki Kimura, Fumio Imamura and 12 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed, 2 pooled it
9.2field-weighted citation impact, top 1% 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

204 citing papers in PubMed, 2 syntheses or guidelines pooled it, 443 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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144 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

22 authors at 13 institutions in 1 country.

Yohei MiyagiMolecular Pathology and Genetics Division, Kanagawa Cancer Center, Yokohama, Japan. miyagi@gancen.asahi.yokohama.jp
Masahiko Higashiyama
Akira Gochi
Makoto Akaike
Takashi Ishikawa
Takeshi Miura
Nobuhiro Saruki
Etsuro Bando
Hideki Kimura
Fumio Imamura
Masatoshi Moriyama
Ichiro Ikeda
Akihiko Chiba
Fumihiro Oshita
Akira Imaizumi
Hiroshi Yamamoto
Hiroshi Miyano
Katsuhisa Horimoto
Osamu Tochikubo
Toru Mitsushima
Minoru Yamakado
Naoyuki Okamoto
Kanagawa Prefectural Hospital Organization · JPAjinomoto (Japan) · JPKanagawa Cancer CenterOsaka Medical Center for Cancer and Cardiovascular Diseases · JPKameda Medical Center · JPMitsui Memorial Hospital · JPNational Institute of Advanced Industrial Science and Technology · JPOkayama University · JPShizuoka Cancer Center · JPYokohama City University · JPYokohama Minami Kyosai Hospital · JPYokohama Municipal Citizen's Hospital · JPYokohama Welfare Service Association · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, rapid advances have been made in metabolomics-based, easy-to-use early cancer detection methods using blood samples. Among metabolites, profiling of plasma free amino acids (PFAAs) is a promising approach because PFAAs link all organ systems and have important roles in metabolism. Furthermore, PFAA profiles are known to be influenced by specific diseases, including cancers. Therefore, the purpose of the present study was to determine the characteristics of the PFAA profiles in cancer patients and the possibility of using this information for early detection. METHODS AND

findingsPlasma samples were collected from approximately 200 patients from multiple institutes, each diagnosed with one of the following five types of cancer: lung, gastric, colorectal, breast, or prostate cancer. Patients were compared to gender- and age- matched controls also used in this study. The PFAA levels were measured using high-performance liquid chromatography (HPLC)-electrospray ionization (ESI)-mass spectrometry (MS). Univariate analysis revealed significant differences in the PFAA profiles between the controls and the patients with any of the five types of cancer listed above, even those with asymptomatic early-stage disease. Furthermore, multivariate analysis clearly discriminated the cancer patients from the controls in terms of the area under the receiver-operator characteristics curve (AUC of ROC >0.75 for each cancer), regardless of cancer stage. Because this study was designed as case-control study, further investigations, including model construction and validation using cohorts with larger sample sizes, are necessary to determine the usefulness of PFAA profiling.

conclusionsThese findings suggest that PFAA profiling has great potential for improving cancer screening and diagnosis and understanding disease pathogenesis. PFAA profiles can also be used to determine various disease diagnoses from a single blood sample, which involves a relatively simple plasma assay and imposes a lower physical burden on subjects when compared to existing screening methods.

Indexed as

AgedAnalysis of VarianceFatty Acids, NonesterifiedFemaleHumansMaleMiddle AgedNeoplasmsFatty Acids, Nonesterified

Identifiers

PMID21915291
PMCPMC3168486
OpenAlexW2039670227

What OpenQuestion holds

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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.