Abstract: Diabetes Mellitus (DM) is a disease growing steadily, posing many health risks, including an increase in the incidence and progression of colorectal cancer (CRC). It has been shown that hyperglycaemia is its main hallmark and it alters the glycoconjugates of CRC cells, increasing their malignancy. These aberrant glycoconjugates may alter diagnostic markers used to detect CRC, so it becomes important to develop new tools to provide an earlier and more accurate diagnosis of CRC in DM patients. This project aims to profile glycomic alterations on plasma and tumour of hyperglycaemic CRC patients. This data will be used as diagnostic tool for CRC in patients with DM. Plasma and tissue samples will be divided in four groups regarding CRC and hyperglycaemia. These will be processed and data will be acquired using mass spectrometry in order to analyse the N-glycans and O-glycans profile in these conditions. The resulting data will be assessed using GlycoGenius, a software developed by the PhD candidate in Python, and will be used to determine glycosylation profiles that might be capable of distinguishing each experimental group, as well as uncovering new biomarkers.