Evidence map›Paper›PMID 31285536›Full record

ArticleScientific reports2019

Tissue amino acid profiles are characteristic of tumor type, malignant phenotype, and tumor progression in pancreatic tumors.

Nobuyoshi Hiraoka, Sakino Toue, Chisato Okamoto, Shinya Kikuchi, Yoshinori Ino, Rie Yamazaki-Itoh, Minoru Esaki, Satoshi Nara, Yoji Kishi, Akira Imaizumi and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. [Nuclear medicine and molecular imaging · 2024
    Article
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. 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

12 authors at 2 institutions in 3 countries.

Nobuyoshi HiraokaDivision of Molecular Pathology, National Cancer Center Research Institute, Tokyo, Japan. nhiraoka@ncc.go.jp.ORCID http://orcid.org/0000-0003-4215-4385
Sakino ToueResearch Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc, Kanagawa, Japan.
Chisato OkamotoInstitute for Innovation, Ajinomoto Co., Inc, Kanagawa, Japan.
Shinya KikuchiResearch Institute for Bioscience Products and Fine Chemicals, Ajinomoto Co., Inc, Kanagawa, Japan.
Yoshinori InoDivision of Molecular Pathology, National Cancer Center Research Institute, Tokyo, Japan.
Rie Yamazaki-ItohDivision of Molecular Pathology, National Cancer Center Research Institute, Tokyo, Japan.
Minoru EsakiHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, Tokyo, Japan.
Satoshi NaraHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, Tokyo, Japan.ORCID http://orcid.org/0000-0002-3516-8765
Yoji KishiHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, Tokyo, Japan.
Akira ImaizumiInstitute for Innovation, Ajinomoto Co., Inc, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-8615-1007
Nobukazu OnoInstitute for Innovation, Ajinomoto Co., Inc, Kanagawa, Japan.
Kazuaki ShimadaHepato-Biliary and Pancreatic Surgery Division, National Cancer Center Hospital, Tokyo, Japan.
Ajinomoto (Japan) · JPNational Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue amino acid profiles depend on the cell types and extracellular components that constitute the tissue, and their functions and activities. We aimed to characterize the tissue amino acid profiles in several types of pancreatic tumors and lesions. We examined tissue amino acid profiles in 311 patients with pancreatic tumors or lesions. We used newly developed LC-MS/MS methods to obtain the profiles, which were compared with clinicopathological data. Each tumor or lesion presented a characteristic tissue amino acid profile. Certain amino acids were markedly altered during the multistep pancreatic carcinogenesis and pancreatic ductal adenocarcinoma (PDAC) progression. A tissue amino acid index (TAAI) was developed based on the amino acids that were notably changed during both carcinogenesis and cancer progression. Univariate and multivariate survival analyses revealed that PDAC patients with a high TAAI exhibited a significantly shorter survival rate, and these findings were validated using a second cohort. We suggest that tissue amino acid profiles are characteristic for normal tissue type, tumor histological type, and pathological lesion, and are representative of the cancer grade or progression stage in multistep carcinogenesis and of malignant characteristics. The TAAI could serve as an independent prognosticator for patients with PDAC.

Indexed as

Amino AcidsCarcinoma, Pancreatic DuctalChromatography, LiquidDisease ProgressionFemaleHumansMaleMetabolomicsOrgan SpecificityPancreatic NeoplasmsPhenotypePrognosisProspective StudiesSurvival AnalysisTandem Mass SpectrometryAmino Acids

Identifiers

PMID31285536
PMCPMC6614459
OpenAlexW2954809946

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.