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Author Spotlight: Advances in Evaluating Human Lung Epithelial Cells' Response to Metal-Organic Frameworks

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Metal-Organic Framework Hybrids Aid Metabolic Profiling for Colorectal Cancer.

Xinxing Li^1,2, Anuja Shreeram Kulkarni^3,4, Xun Liu^3,4

¹Department of Gastrointestinal Surgery, Tongji Hospital, Medical College of Tongji University, Shanghai, 200065, P. R. China.

|December 20, 2021

Summary

Researchers developed a novel metal-organic framework (MOF) hybrid tool for rapid colorectal cancer (CRC) detection. This advanced liquid biopsy method analyzes plasma for metabolic fingerprints, enabling early diagnosis and precision medicine.

Keywords:

colorectal cancer diagnostics hybrid nanomaterials metabolic fingerprints metal-organic framework

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Published on: May 26, 2023

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Molecular Profiling of the Invasive Tumor Microenvironment in a 3-Dimensional Model of Colorectal Cancer Cells and Ex vivo Fibroblasts

Molecular Profiling of the Invasive Tumor Microenvironment in a 3-Dimensional Model of Colorectal Cancer Cells and Ex vivo Fibroblasts

Published on: April 29, 2014

Area of Science:

Nanotechnology
Analytical Chemistry
Oncology

Background:

Colorectal cancer (CRC) is a leading cause of cancer mortality globally, with metabolic alterations playing a key role in its early development.
Understanding these metabolic shifts is crucial for advancing precision medicine and improving diagnostic strategies for CRC.

Purpose of the Study:

To develop an advanced molecular tool for characterizing metabolic alterations in colorectal cancer.
To establish a rapid and sensitive liquid biopsy method for CRC screening and diagnosis.

Main Methods:

Utilized metal-organic framework (MOF) hybrids as an advanced molecular tool for metabolic analysis.
Employed laser desorption/ionization mass spectrometry (LD-MS) for rapid metabolic fingerprinting of minimal plasma samples (500 nL) without pretreatment.
Constructed a diagnostic prediction model using a machine learning algorithm for CRC patient discrimination.

Main Results:

The MOF-hybrid based method achieved high diagnostic accuracy, with an average area under the curve (AUC) of 0.947 (discovery cohort) and 0.912 (validation cohort).
Identified a CRC-specific metabolic signature comprising 34 potential biomarkers.
Demonstrated the capability for rapid, pretreatment-free metabolic profiling of plasma samples.

Conclusions:

The developed MOF-hybrid platform represents a significant advancement in nanomaterial-based metabolic analysis.
This novel liquid biopsy tool offers a practical and efficient approach for colorectal cancer screening, compatible with clinical workflows.
The findings support the potential of metabolic profiling for early CRC detection and personalized treatment strategies.