Cancer
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Machine learning based classification of squamous cell carcinomas using DNA methylation
Funding line:
First and Second Applications
Array chip to analyze DNA methylation next to conventional tissue slices which are usually used for cancer diagnostics.
(© Philipp Jurmeister, Institute of Pathology, Ludwig-Maximilians-Universität München)
A key part of any cancer treatment is the examination of a cancer tissue sample under the microscope. Here, the type of cancer and the organ from which it originated are assessed. In the case of a specific type of cancer - so-called squamous cell carcinoma - it is not always possible to clearly identify the organ of origin. However, a correct classification is important in order to determine how far the cancer has already spread and to be able to select the best treatment. In this research project, the scientists aim to develop a method that can reliably identify the organ of origin of squamous cell carcinomas based on a special genetic information (DNA methylation) and machine learning-based algorithms.
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