Federal University of Espírito Santo, Maruípe, Vitória-ES, Brazi

Background Prompt identification and treatment are key to lowering colorectal cancer mortality, and a straightforward blood test is anticipated to have higher compliance than all of the existing techniques. This study aims to assess the efficacy of a blood serum protein biomarker test based on mass spectrometry for CRC detection. Resources and techniques Prior to colonoscopy or surgery, blood samples were taken from people (n = 213) or patients with nonmetastatic CRC (n = 50). Targeted liquid chromatography-tandem mass spectrometry was used to isolate proteins from the serum of patients. To evaluate these proteins, we created a machine-learning statistical model. Results Over 70% of the chosen biomarkers demonstrated significance by Mann-Whitney testing for separating cancer-bearing cases from cancer-free cases when taken into account individually. Leucine-rich alpha-2-glycoprotein 1 and epidermal growth factor receptor peptides were repeatedly discovered as highly predictive for distinguishing CRC from cancer-free cases using machine learning techniques. Leucine-rich alpha-2-glycoprotein 1, epidermal growth factor receptor, inter-alpha-trypsin inhibitor heavy-chain family member 4, hemopexin, and superoxide dismutase 3 comprised a five-marker panel that performed the best in the validation set with 70% specificity at over 89% sensitivity (area under the curve = 0.86). Cross-validation within the training set revealed that a panel of four proteins consisting of the CD44 molecule, GC-vitamin D-binding protein, C-reactive protein, and inter-alpha-trypsin inhibitor heavy-chain family member 3 produced the best results for identifying regional from localised malignancies. Conclusions The minimally invasive blood biomarker panels mentioned here might be used for existing cancer stages as well as CRC screening/detection in a human population.

Colorectal neoplasms, Biomarkers, Proteomic

Sackline Preitas Brilhante de São. Colorectal Carcinoma Non-Invasive Detection Using Serum Protein Biomarkers. Insights Journal of Surgery and Clinical Case Reports 2020.