Evidence map›Paper›PMID 22847392›Full record

ArticleJournal of the American Society for Mass Spectrometry2012

Analysis of renal cell carcinoma as a first step for developing mass spectrometry-based diagnostics.

Kentaro Yoshimura, Lee Chuin Chen, Mridul Kanti Mandal, Tadao Nakazawa, Zhan Yu, Takahito Uchiyama, Hirokazu Hori, Kunio Tanabe, Takeo Kubota, Hideki Fujii and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
  2. Lipid metabolism reprogramming in renal cell carcinomas.Medical oncology (Northwood, London, England) · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence.Liver international : official journal of the International Association for the Study of the Liver · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetic and metabolic hallmarks of clear cell renal cell carcinoma.Biochimica et biophysica acta. Reviews on cancer · 2018
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Towards Practical Endoscopic Mass Spectrometry.Mass spectrometry (Tokyo, Japan) · 2017
    Article
  19. Desorption in Mass Spectrometry.Mass spectrometry (Tokyo, Japan) · 2017
    Article
  20. 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

13 authors at 3 institutions in 2 countries.

Kentaro YoshimuraDepartment of Anatomy and Cell Biology, Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Japan.
Lee Chuin Chen
Mridul Kanti Mandal
Tadao Nakazawa
Zhan Yu
Takahito Uchiyama
Hirokazu Hori
Kunio Tanabe
Takeo Kubota
Hideki Fujii
Ryohei Katoh
Kenzo Hiraoka
Sen Takeda
University of Yamanashi · JPShenyang Normal University · CNWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immediate diagnosis of human specimen is an essential prerequisites in medical routines. This study aimed to establish a novel cancer diagnostics system based on probe electrospray ionization-mass spectrometry (PESI-MS) combined with statistical data processing. PESI-MS uses a very fine acupuncture needle as a probe for sampling as well as for ionization. To demonstrate the applicability of PESI-MS for cancer diagnosis, we analyzed nine cases of clear cell renal cell carcinoma (ccRCC) by PESI-MS and processed the data by principal components analysis (PCA). Our system successfully delineated the differences in lipid composition between non-cancerous and cancerous regions. In this case, triacylglycerol (TAG) was reproducibly detected in the cancerous tissue of nine different individuals, the result being consistent with well-known profiles of ccRCC. Moreover, this system enabled us to detect the boundaries of cancerous regions based on the expression of TAG. These results strongly suggest that PESI-MS will be applicable to cancer diagnosis, especially when the number of data is augmented.

Indexed as

Carcinoma, Renal CellHistocytochemistryHumansKidneyKidney NeoplasmsMolecular ImagingPhospholipidsPrincipal Component AnalysisReproducibility of ResultsSpectrometry, Mass, Electrospray IonizationTriglyceridesPhospholipidsTriglycerides

Identifiers

PMID22847392
OpenAlexW2054843171

What OpenQuestion holds

Textmetadata
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.