Evidence map›Paper›PMID 34439333›Full record

ArticleCancers2021

Integrative Metabolomic and Lipidomic Profiling of Lung Squamous Cell Carcinoma for Characterization of Metabolites and Intact Lipid Species Related to the Metastatic Potential.

Heayyean Lee, Hwanhui Lee, Sujeong Park, Myeongsun Kim, Ji Young Park, Hanyong Jin, Kyungsoo Oh, Jeehyeon Bae, Young Yang, Hyung-Kyoon Choi

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Scientific reports · 2024
    Article
  5. Article
  6. Article
  7. Review
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

10 authors.

Heayyean LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Korea.
Hwanhui LeeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Korea.
Sujeong ParkDepartment of Biological Sciences, Sookmyung Women's University, Seoul 04312, Korea.
Myeongsun KimCollege of Pharmacy, Chung-Ang University, Seoul 06974, Korea.
Ji Young ParkDepartment of Biological Sciences, Sookmyung Women's University, Seoul 04312, Korea.
Hanyong JinDepartment of Life Science, Chung-Ang University, Seoul 06974, Korea.ORCID 0000-0002-5850-0791
Kyungsoo OhCollege of Pharmacy, Chung-Ang University, Seoul 06974, Korea.ORCID 0000-0002-4566-6573
Jeehyeon BaeCollege of Pharmacy, Chung-Ang University, Seoul 06974, Korea.
Young YangDepartment of Biological Sciences, Sookmyung Women's University, Seoul 04312, Korea.ORCID 0000-0003-4239-0804
Hyung-Kyoon ChoiCollege of Pharmacy, Chung-Ang University, Seoul 06974, Korea.

Funding

National Research Foundation of Korea NRF-2015R1A5A1008958
6 · The paper itself

Abstract

SQCC is a major type of NSCLC, which is a major cause of cancer-related deaths, and there were no reports regarding the prediction of metastatic potential of lung SQCC by metabolomic and lipidomic profiling. In this study, metabolomic and lipidomic profiling of lung SQCC were performed to predict its metastatic potential and to suggest potential therapeutic targets for the inhibition of lung SQCC metastasis. Human bronchial epithelial cells and four lung SQCC cell lines with different metastatic potentials were analyzed using gas chromatography-mass spectrometry and direct infusion-mass spectrometry. Based on the obtained metabolic and lipidomic profiles, we constructed models to predict the metastatic potential of lung SQCC; glycerol, putrescine, β-alanine, hypoxanthine, inosine,

Indexed as

DI-MSGC-MSlipidomicslung squamous cell carcinomametabolomicsmetastatic potential

Identifiers

PMID34439333
PMCPMC8391613

What OpenQuestion holds

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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.