Evidence map›Paper›PMID 36337119›Full record

ArticleInternational journal of analytical chemistry2022

Lipid Profiles Obtained from MALDI Mass Spectrometric Imaging in Liver Cancer Metastasis Model.

Hee Jung Kwon, Joo Yeon Oh, Kwang Seon Lee, Hyun Kyung Lim, Jisun Lee, Hye-Ran Yoon, Joohee Jung

Open access · goldAbstract read
In one paragraph

Article in International journal of analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  5. Review
  6. Cell-Instructive Biomaterials with Native-Like Biochemical Complexity.Annual review of biomedical engineering · 2025
    Review
  7. Article
  8. Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024
    Review
  9. Article
  10. Article
  11. 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

7 authors at 1 institution in 1 country.

Hee Jung KwonDepartment of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea.
Joo Yeon OhASTA, Inc., Gyeonggi-do 16229, Republic of Korea.
Kwang Seon LeeASTA, Inc., Gyeonggi-do 16229, Republic of Korea.
Hyun Kyung LimDepartment of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea.
Jisun LeeDepartment of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea.
Hye-Ran YoonDepartment of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea.ORCID https://orcid.org/0000-0003-2053-2648
Joohee JungDepartment of Pharmacy, Duksung Women's University, Seoul 01369, Republic of Korea.ORCID https://orcid.org/0000-0001-9124-9052
Duksung Women's University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer metastasis is known to be a poor prognosis and a leading cause of mortality. To overcome low therapeutic efficacy, understanding the physiological properties of liver cancer metastasis is required. However, the metastatic lesion is heterogeneous and complex. We investigate the distribution of lipids using matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) in an experimental metastasis model. We obtained the differentially expressed mass peaks in comparison between normal sites and metastatic lesions. The relationship of mass to charge ratio (m/z) and intensity were measured, m/z-indicated species were analyzed by MALDI-MS/MS analysis, and identification of these mass species was confirmed using the METASPACEannotation platform and Lipid Maps®. MALDI-MSI at m/z 725.6, 734.6, 735.6, 741.6, 742.6, 744.6, 756.6, and 772.6 showed significantly higher intensity, consistent with the metastatic lesions in hematoxylin-stained tissues. Sphingomyelin SM [d18:0/16:1], phosphatidylcholine (PC) [32:0], PC [31:0], PC [31:1], and PE [36:2] were highly expressed in metastatic lesions. Our results could provide information for understanding metastatic lesions. It suggests that the found lipids could be a biomarker for the diagnosis of metastatic lesions.

Identifiers

PMID36337119
PMCPMC9633205
OpenAlexW4307407431

What OpenQuestion holds

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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.