Evidence map›Paper›PMID 31412144›Full record

ArticleRapid communications in mass spectrometry : RCM2020

Identification of novel biomarkers of hepatocellular carcinoma by high-definition mass spectrometry: Ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry and desorption electrospray ionization mass spectrometry imaging.

Koshi Nagai, Baasanjav Uranbileg, Zhen Chen, Amane Fujioka, Takahiro Yamazaki, Yotaro Matsumoto, Hiroki Tsukamoto, Hitoshi Ikeda, Yutaka Yatomi, Hitoshi Chiba and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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  8. Real-time lipid patterns to classify viable and necrotic liver tumors.Laboratory investigation; a journal of technical methods and pathology · 2021
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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 3 institutions in 2 countries.

Koshi NagaiLaboratory of Oncology, Pharmacy Practice and Sciences, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
Baasanjav UranbilegDepartment of Clinical Laboratory Medicine, University of Tokyo, Japan.
Zhen ChenFaculty of Health Science, Hokkaido University, Japan.
Amane FujiokaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Takahiro YamazakiLaboratory of Oncology, Pharmacy Practice and Sciences, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
Yotaro MatsumotoLaboratory of Oncology, Pharmacy Practice and Sciences, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
Hiroki TsukamotoLaboratory of Oncology, Pharmacy Practice and Sciences, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
Hitoshi IkedaDepartment of Clinical Laboratory Medicine, University of Tokyo, Japan.
Yutaka YatomiDepartment of Clinical Laboratory Medicine, University of Tokyo, Japan.ORCID https://orcid.org/0000-0003-1719-4297
Hitoshi ChibaFaculty of Health Science, Hokkaido University, Japan.
Shu-Ping HuiFaculty of Health Science, Hokkaido University, Japan.
Toru NakazawaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
Ritsumi SaitoDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.
Seizo KoshibaTohoku University Advanced Research Center for Innovations in Next-Generation Medicine.
Junken AokiLaboratory of Molecular and Cellular Biochemistry, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
Daisuke SaigusaDepartment of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan.ORCID https://orcid.org/0000-0001-9484-9870
Yoshihisa TomiokaLaboratory of Oncology, Pharmacy Practice and Sciences, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
Tohoku University · JPHealth Sciences University of Hokkaido · JPUniversity of Tokyo Hospital · JP

Funding

Grant-In-Aid from the Japan Society for the Promotion of Society K17K08233LEAP from the Japan Agency for Medical Research and Development (AMED) J180000559Tohoku Medical Megabank Project through the Ministry of Education, Culture, Sports, Science and Technology, Japan; by the Reconstruction Agency, Japan; and by the Japan AMED JP19km0105001Tohoku Medical Megabank Project through the Ministry of Education, Culture, Sports, Science and Technology, Japan; by the Reconstruction Agency, Japan; and by the Japan AMED JP19km0105002
6 · The paper itself

Abstract

rationaleHepatocellular carcinoma (HCC) is a highly malignant disease for which the development of prospective or prognostic biomarkers is urgently required. Although metabolomics is widely used for biomarker discovery, there are some bottlenecks regarding the comprehensiveness of detected features, reproducibility of methods, and identification of metabolites. In addition, information on localization of metabolites in tumor tissue is needed for functional analysis. Here, we developed a wide-polarity global metabolomics (G-Met) method, identified HCC biomarkers in human liver samples by high-definition mass spectrometry (HDMS), and demonstrated localization in cryosections using desorption electrospray ionization MS imaging (DESI-MSI) analysis.

methodsMetabolic profiling of tumor (n = 38) and nontumor (n = 72) regions in human livers of HCC was performed by an ultrahigh-performance liquid chromatography quadrupole time-of-flight MS (UHPLC/QTOFMS) instrument equipped with a mixed-mode column. The HCC biomarker candidates were extracted by multivariate analyses and identified by matching values of the collision cross section and their fragment ions on the mass spectra obtained by HDMS. Cryosections of HCC livers, which included both tumor and nontumor regions, were analyzed by DESI-MSI.

resultsFrom the multivariate analysis, m/z 904.83 and m/z 874.79 were significantly high and low, respectively, in tumor samples and were identified as triglyceride (TG) 16:0/18:1(9Z)/20:1(11Z) and TG 16:0/18:1(9Z)/18:2(9Z,12Z) using the synthetic compounds. The TGs were clearly localized in the tumor or nontumor areas of the cryosection.

conclusionsNovel biomarkers for HCC were identified by a comprehensive and reproducible G-Met method with HDMS using a mixed-mode column. The combination analysis of UHPLC/QTOFMS and DESI-MSI revealed that the different molecular species of TGs were associated with tumor distribution and were useful for characterizing the progression of tumor cells and discovering prospective biomarkers.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularChromatography, High Pressure LiquidHumansLiverLiver NeoplasmsMetabolomeSpectrometry, Mass, Electrospray IonizationSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, Tumor

Identifiers

PMID31412144
PMCPMC7154627
OpenAlexW2968970137

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.