Key Points
Novel multi-technique approach reveals cancer metabolite markers
Breakthrough in early detection of aggressive cancers
Non-invasive diagnostic method with high clinical potential
Personalised medicine advancement
The team identified metabolites in exosomes derived from pancreatic cancer, lung cancer and glioma cancer cell line, which offers potential universal biomarkers resulting in enhanced clinical applicability.
“This offers a potential non-invasive method for early cancer diagnosis as well as therapeutic strategies for cancer,” said the researchers in the paper, published in the journal Nanoscale.
Aggressive cancers like pancreatic and glioma cancers often diagnosed late and having poor prognoses. Hence there is an urgent need for non-invasive, reliable cancer biomarkers to address significant gaps in cancer diagnostics and therapeutics, particularly for pancreatic and glioma cancers, which lack early detection methods.
Nano messengers (exosomes) -- as carriers of tumour-derived metabolites -- provide a unique opportunity to explore the tumour microenvironment (TME), said the team, including Nandini Bajaj and Dr. Deepika Sharma from the Institute.
The researchers utilised a multi-technique approach combining Nanoparticle Tracking Analysis (NTA), Electron Microscopy (EM), Western Blot (WB), Fourier Transformed Infrared Spectroscopy (FTIR), untargeted Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS), and Nuclear Magnetic Resonance (NMR) -- providing a comprehensive characterisation of exosomes, surpassing conventional single-method studies.
The study advances cancer diagnostics, personalised medicine, and our understanding of cancer progression mechanisms. These metabolites identified highlight dysregulated pathways in the tumour microenvironment and also gives insights on how the cancer progresses and enables non-invasive and precise cancer detection and therapeutic targeting.
The findings can lead to the development of targeted therapies that can disrupt dysregulated metabolic pathways in tumours, enhancing treatment efficacy and potentially reducing side effects.
This advancement could significantly improve patient outcomes, especially through personalised, precision medicine approaches.
