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Genomics

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Related Experiment Video

Updated: Aug 9, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

Metabolomics in oncology.

Gurparsad Singh Suri¹, Gurleen Kaur¹, Giuseppina M Carbone²

¹Department of Biological Sciences, California Baptist University, Riverside, California, USA.

Cancer Reports (Hoboken, N.J.)

|February 22, 2023

Summary

This summary is machine-generated.

Metabolomics, the study of small molecules, offers unique insights into cancer progression and treatment. This field aids in detecting cancer, monitoring patient response to therapies, and developing personalized treatment strategies.

Keywords:

biomarker cancer metabolic reprogramming metabolism metabolomics

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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

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Last Updated: Aug 9, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics

Published on: November 29, 2024

Extraction of Aqueous Metabolites from Cultured Adherent Cells for Metabolomic Analysis by Capillary Electrophoresis-Mass Spectrometry

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Published on: June 9, 2019

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Published on: February 27, 2015

Area of Science:

Oncology
Biochemistry
Translational Medicine

Background:

Oncogenic transformation profoundly impacts cellular metabolism, fueling malignant cell growth.
Metabolomics, the study of small molecules, provides unique insights into cancer progression beyond traditional biomarker studies.
Specific metabolites are crucial for cancer detection, monitoring, and therapeutic interventions.

Purpose of the Study:

To review the clinical and translational applications of metabolomics in oncology.
To highlight metabolomics' role in identifying cancer biomarkers and assessing treatment efficacy.
To summarize the significance of metabolomics in cancer development and treatment strategies.

Main Methods:

Utilizing advanced analytical techniques such as positron emission tomography and magnetic resonance spectroscopic imaging for non-invasive metabolic indicator discernment.
Employing metabolomic profiling to track dynamic changes in tumor metabolism.
Reviewing recent studies on metabolomics for predicting individual metabolic responses to cancer treatments.

Main Results:

Metabolomics can non-invasively identify metabolic indicators of cancer.
Metabolomic profiling effectively tracks tumor metabolism and gauges treatment response over time.
Metabolomics demonstrates potential in predicting treatment efficacy, monitoring drug resistance, and personalizing cancer therapy.

Conclusions:

Metabolomics, despite being in its early stages, can guide treatment selection and predict patient responsiveness.
Persistent technical challenges include database management, cost, and methodological expertise.
Addressing these challenges will enhance the sensitivity and specificity of novel cancer treatment regimens.