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Metabolic signatures differentiate ovarian from colon cancer cell lines.

Halama A, Guerrouahen BS, Pasquier J, Diboun I, Karoly ED, Suhre K, Rafii A - J Transl Med (2015)

Bottom Line: A total of 225 metabolites were detected in all four cell lines; 67 of these molecules significantly discriminated colon cancer from ovarian cancer cells.Metabolic signatures revealed in our study suggest elevated tricarboxylic acid cycle and lipid metabolism in ovarian cancer cell lines, as well as increased β-oxidation and urea cycle metabolism in colon cancer cell lines.Our study provides a panel of distinct metabolic fingerprints between colon and ovarian cancer cell lines.

View Article: PubMed Central - PubMed

Affiliation: Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar-Foundation, P.O. Box 24144, Doha, Qatar. amh2025@qatar-med.cornell.edu.

ABSTRACT

Background: In this era of precision medicine, the deep and comprehensive characterization of tumor phenotypes will lead to therapeutic strategies beyond classical factors such as primary sites or anatomical staging. Recently, "-omics" approached have enlightened our knowledge of tumor biology. Such approaches have been extensively implemented in order to provide biomarkers for monitoring of the disease as well as to improve readouts of therapeutic impact. The application of metabolomics to the study of cancer is especially beneficial, since it reflects the biochemical consequences of many cancer type-specific pathophysiological processes. Here, we characterize metabolic profiles of colon and ovarian cancer cell lines to provide broader insight into differentiating metabolic processes for prospective drug development and clinical screening.

Methods: We applied non-targeted metabolomics-based mass spectroscopy combined with ultrahigh-performance liquid chromatography and gas chromatography for the metabolic phenotyping of four cancer cell lines: two from colon cancer (HCT15, HCT116) and two from ovarian cancer (OVCAR3, SKOV3). We used the MetaP server for statistical data analysis.

Results: A total of 225 metabolites were detected in all four cell lines; 67 of these molecules significantly discriminated colon cancer from ovarian cancer cells. Metabolic signatures revealed in our study suggest elevated tricarboxylic acid cycle and lipid metabolism in ovarian cancer cell lines, as well as increased β-oxidation and urea cycle metabolism in colon cancer cell lines.

Conclusions: Our study provides a panel of distinct metabolic fingerprints between colon and ovarian cancer cell lines. These may serve as potential drug targets, and now can be evaluated further in primary cells, biofluids, and tissue samples for biomarker purposes.

No MeSH data available.


Related in: MedlinePlus

Metabolic diversity in colon and ovarian cancer cell lines. a Synthetic view of the metabolic signatures of cell lines derived from colorectal and ovarian cancers. The full data presentation is available in Additional file 7: Figure S4 as box plots in a zoomable format. The blue color gradation represents colon cancer cell lines (HCT15, dark blue; HCT116, light blue), red and orange indicate ovarian cancer cell lines (OVCAR3, red; SKOV3, orange). b Summary of the main findings of this study, as well as previously reported metabolomics changes observed in comparable human biofluids or tissue samples from patients with colon and ovarian carcinomas. Arrows indicate direction of changes reported in the literature and in the present study for colon and ovarian cancer cell lines.
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Fig3: Metabolic diversity in colon and ovarian cancer cell lines. a Synthetic view of the metabolic signatures of cell lines derived from colorectal and ovarian cancers. The full data presentation is available in Additional file 7: Figure S4 as box plots in a zoomable format. The blue color gradation represents colon cancer cell lines (HCT15, dark blue; HCT116, light blue), red and orange indicate ovarian cancer cell lines (OVCAR3, red; SKOV3, orange). b Summary of the main findings of this study, as well as previously reported metabolomics changes observed in comparable human biofluids or tissue samples from patients with colon and ovarian carcinomas. Arrows indicate direction of changes reported in the literature and in the present study for colon and ovarian cancer cell lines.

Mentions: We reconstructed a metabolic pathway based on the metabolites that significantly differentiated colon from ovarian cancer cell lines, along with other metabolites identified in the data set that are relevant to these pathways (Additional file 7: Figure S4, and synthesized in Figure 3a).Figure 3


Metabolic signatures differentiate ovarian from colon cancer cell lines.

Halama A, Guerrouahen BS, Pasquier J, Diboun I, Karoly ED, Suhre K, Rafii A - J Transl Med (2015)

Metabolic diversity in colon and ovarian cancer cell lines. a Synthetic view of the metabolic signatures of cell lines derived from colorectal and ovarian cancers. The full data presentation is available in Additional file 7: Figure S4 as box plots in a zoomable format. The blue color gradation represents colon cancer cell lines (HCT15, dark blue; HCT116, light blue), red and orange indicate ovarian cancer cell lines (OVCAR3, red; SKOV3, orange). b Summary of the main findings of this study, as well as previously reported metabolomics changes observed in comparable human biofluids or tissue samples from patients with colon and ovarian carcinomas. Arrows indicate direction of changes reported in the literature and in the present study for colon and ovarian cancer cell lines.
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4499939&req=5

Fig3: Metabolic diversity in colon and ovarian cancer cell lines. a Synthetic view of the metabolic signatures of cell lines derived from colorectal and ovarian cancers. The full data presentation is available in Additional file 7: Figure S4 as box plots in a zoomable format. The blue color gradation represents colon cancer cell lines (HCT15, dark blue; HCT116, light blue), red and orange indicate ovarian cancer cell lines (OVCAR3, red; SKOV3, orange). b Summary of the main findings of this study, as well as previously reported metabolomics changes observed in comparable human biofluids or tissue samples from patients with colon and ovarian carcinomas. Arrows indicate direction of changes reported in the literature and in the present study for colon and ovarian cancer cell lines.
Mentions: We reconstructed a metabolic pathway based on the metabolites that significantly differentiated colon from ovarian cancer cell lines, along with other metabolites identified in the data set that are relevant to these pathways (Additional file 7: Figure S4, and synthesized in Figure 3a).Figure 3

Bottom Line: A total of 225 metabolites were detected in all four cell lines; 67 of these molecules significantly discriminated colon cancer from ovarian cancer cells.Metabolic signatures revealed in our study suggest elevated tricarboxylic acid cycle and lipid metabolism in ovarian cancer cell lines, as well as increased β-oxidation and urea cycle metabolism in colon cancer cell lines.Our study provides a panel of distinct metabolic fingerprints between colon and ovarian cancer cell lines.

View Article: PubMed Central - PubMed

Affiliation: Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar-Foundation, P.O. Box 24144, Doha, Qatar. amh2025@qatar-med.cornell.edu.

ABSTRACT

Background: In this era of precision medicine, the deep and comprehensive characterization of tumor phenotypes will lead to therapeutic strategies beyond classical factors such as primary sites or anatomical staging. Recently, "-omics" approached have enlightened our knowledge of tumor biology. Such approaches have been extensively implemented in order to provide biomarkers for monitoring of the disease as well as to improve readouts of therapeutic impact. The application of metabolomics to the study of cancer is especially beneficial, since it reflects the biochemical consequences of many cancer type-specific pathophysiological processes. Here, we characterize metabolic profiles of colon and ovarian cancer cell lines to provide broader insight into differentiating metabolic processes for prospective drug development and clinical screening.

Methods: We applied non-targeted metabolomics-based mass spectroscopy combined with ultrahigh-performance liquid chromatography and gas chromatography for the metabolic phenotyping of four cancer cell lines: two from colon cancer (HCT15, HCT116) and two from ovarian cancer (OVCAR3, SKOV3). We used the MetaP server for statistical data analysis.

Results: A total of 225 metabolites were detected in all four cell lines; 67 of these molecules significantly discriminated colon cancer from ovarian cancer cells. Metabolic signatures revealed in our study suggest elevated tricarboxylic acid cycle and lipid metabolism in ovarian cancer cell lines, as well as increased β-oxidation and urea cycle metabolism in colon cancer cell lines.

Conclusions: Our study provides a panel of distinct metabolic fingerprints between colon and ovarian cancer cell lines. These may serve as potential drug targets, and now can be evaluated further in primary cells, biofluids, and tissue samples for biomarker purposes.

No MeSH data available.


Related in: MedlinePlus