Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021;11(2):147-156.
doi: 10.34172/bi.2021.22. Epub 2020 Jun 10.

Metabolomic characterization of colorectal cancer cell lines highlighting stage-specific alterations during cancer progression

Hazwani Mohd Yusof  1 , Sharaniza Ab-Rahim  1 , Wan Zurinah Wan Ngah  2 , Sheila Nathan  3 , A Rahman A Jamal  4 , Musalmah Mazlan  1
Affiliations

Metabolomic characterization of colorectal cancer cell lines highlighting stage-specific alterations during cancer progression

Hazwani Mohd Yusof et al. Bioimpacts. 2021.

Abstract

Introduction: Metabolomic studies on various colorectal cancer (CRC) cell lines have improved our understanding of the biochemical events underlying the disease. However, the metabolic profile dynamics associated with different stages of CRC progression is still lacking. Such information can provide further insights into the pathophysiology and progression of the disease that will prove useful in identifying specific targets for drug designing and therapeutics. Thus, our study aims to characterize the metabolite profiles in the established cell lines corresponding to different stages of CRC. Methods: Metabolite profiling of normal colon cell lines (CCD 841 CoN) and CRC cell lines corresponding to different stages, i.e., SW 1116 (stage A), HT 29 and SW 480 (stage B), HCT 15 and DLD-1 (stage C), and HCT 116 (stage D), was carried out using liquid chromatography-mass spectrometry (LC-MS). Mass Profiler Professional and Metaboanalyst 4.0 software were used for statistical and pathway analysis. METLIN database was used for the identification of metabolites. Results: We identified 72 differential metabolites compared between CRC cell lines of all the stages and normal colon cells. Principle component analysis and partial least squares discriminant analysis score plot were used to segregate normal and CRC cells, as well as CRC cells in different stages of the disease. Variable importance in projection score identified unique differential metabolites in CRC cells of the different stages. We identified 7 differential metabolites unique to stage A, 3 in stage B, 5 in stage C, and 5 in stage D. Conclusion: This study highlights the differential metabolite profiling in CRC cell lines corresponding to different stages. The identification of the differential metabolites in CRC cells at individual stages will lead to a better understanding of the pathophysiology of CRC development and progression and, hence, its application in treatment strategies.

Keywords: Cell metabolomics; Colorectal cancer; Metabolites; Stages.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Fig. 2
Fig. 2
Fig. 3
Fig. 3
Fig. 4
Fig. 4
Fig. 5
Fig. 5
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Schrimpe-Rutledge AC, Codreanu SG, Sherrod SD, McLean JA. Untargeted metabolomics strategies—challenges and emerging directions. J Am Soc Mass Spectrom. 2016;27:1897–905. doi: 10.1007/s13361-016-1469-y. - DOI - PMC - PubMed
    1. Zhang A, Sun H, Xu H, Qiu S, Wang X. Cell metabolomics. OMICS. 2013;17:495–501. doi: 10.1089/omi.2012.0090. - DOI - PMC - PubMed
    1. Williams M, Zhang X, Park J-J, Siems W, Gang D, Resar L. et al. Characterizing metabolic changes in human colorectal cancer. Anal Bioanal Chem. 2015;407:4581–95. doi: 10.1007/s00216-015-8662-x. - DOI - PubMed
    1. Tian Y, Xu T, Huang J, Zhang L, Xu S, Xiong B. et al. Tissue Metabonomic Phenotyping for Diagnosis and Prognosis of Human Colorectal Cancer. Sci Rep. 2016;6:20790. doi: 10.1038/srep20790. - DOI - PMC - PubMed
    1. Qiu YP, Cai GX, Su MM, Chen TL, Zheng XJ, Xu Y. et al. Serum Metabolite Profiling of Human Colorectal Cancer Using GC-TOFMS and UPLC-QTOFMS. J Proteome Res. 2009;8:4844–50. doi: 10.1021/pr9004162. - DOI - PubMed

LinkOut - more resources