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Machine Learning Tool Identifies Metabolic Clues in Colorectal Cancer
- Researchers created an advanced machine learning approach to distinguish differences in metabolic profiles between individuals with colorectal cancer and healthy controls, analyzing samples from over 1,000 participants.
- This work builds on high-throughput metabolomics analysis from large research projects, revealing shifts in purine metabolism linked to colorectal cancer presence and progression.
- The PANDA biomarker pipeline combines partial least squares-discriminant analysis with an artificial neural network to enhance the predictive accuracy of metabolic signatures.
- Jiangjiang Zhu noted that this approach offers a valuable method for diagnosing and tracking diseases, highlighting that biomarkers based on metabolism may also help assess how well treatments are working.
- Before this pipeline can be applied clinically, further studies involving more samples are needed, and researchers intend to enhance the biomarkers to better support colorectal cancer diagnosis and treatment monitoring.
15 Articles
15 Articles
Machine learning tool identifies metabolic clues in colorectal cancer
Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people.
Key mechanism in embryonic development makes colorectal cancer more aggressive, study finds
Tumor cells in colorectal cancer exploit an important signaling pathway that normally controls embryo development. Researchers have now shown how a protein that controls the development of the arms and heart contributes to making colorectal cancer cells more aggressive and likely to spread.
Colon Tumors, in Metastases the Mutations of DNA Put the "Turbo" in. New Study of the "IRCSS" of Candiol
As the tumor to the colon progresses, it also increases the rate of mutation of its DNA. The aim of the research is to understand what are the elements that distinguish the aggressive forms from the indolent ones to calibrate the cures
DNA “Time Bomb” – Common Childhood Bacteria Linked To Surge in Early-Onset Colorectal Cancer
A UC San Diego-led study linked early childhood exposure to the bacterial toxin colibactin with the rise in early-onset colorectal cancer, finding distinct DNA mutations in younger patients. The discovery points to a microbial influence on cancer risk from an early age. An international team of researchers, led by the University of California San Diego, [...]
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