Even though some methods for the detection of colorectal cancer have been used clinically, most of the techniques used do not consider the in situ detection of colorectal cancer (CRC) biomarkers, which would favor in vivo real-time monitoring of the carcinogenesis process and consequent studies of the disease. In order to give a scientific and computational framework ideal for the evaluation of diagnosis techniques based on the early detection of biomarker molecules modeled as spherical particles from the computational point of view, a computational representation of the rectum, stool and biomarker particles was developed. As consequence of the transport of stool, there was a displacement of CRC biomarker particles that entered the system as a result of the cellular apoptosis processes in polyps with a length lower than 1 cm, reaching a maximum velocity of 3.47×10−3 m/s. The biomarkers studied showed trajectories distant to regions of the polyp of origin in 1 min of simulation. The research results show that the biomarker particles for CRC respond to the variations in the movements of the stool with trajectories and speeds that depend on the location of the injury, which will allow locating the regions with the highest possibilities of catching particles through in situ measurement instruments in the future.

Colorectal cancer is currently treated by surgical procedures, chemotherapy and radiotherapy; however, these latest treatments are highly aggressive, with side effects that affect the patient’s quality of life. The scientific union has been investigating other more favorable alternatives, such as targeted therapy, which seeks greater selectivity in the type of target cells. This type of treatment can significantly reduce side effects in the patient. The goal of this research is to computationally visualize the behavior of nanocarriers in the colon tumor microenvironment, as well as their capacity for deepening, selective coupling and differentiating between healthy and cancerous tissue. A group of histological samples of cancerous tissue was selected, based on morphological criteria and the stage of the disease. This was used to elaborate 2D and 3D models to study different cases using artificial vision and computer simulation techniques. The results indicated velocities of the nanocarriers that reached values between 1.40 and 8.69×10−7ms for a time of 3.88 h, with a vectorized deposition efficiency of 1.0 to 4.46%. In addition, selective mating events were achieved at a maximum depth of 4.68 × 10−4 m. This scientific knowledge can contribute to the estimation of the efficacy of the treatment, as well as the assessment for different dosage levels and frequency of drug administration from the studies carried out on the lesion.

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