Cancer-cell-derived exosomes confer oncogenic properties in their tumor microenvironment and to other cells; however, the exact mechanism underlying this process is unclear. Here, we investigated the roles of cancer-cell-derived exosomes in colon cancer. Exosomes were isolated from colon cancer cell lines, HT-29, SW480, and LoVo, using an ExoQuick-TC kit, identified using Western blotting for exosome markers, and characterized using transmission electron microscopy and nanosight tracking analysis. The isolated exosomes were used to treat HT-29 to evaluate their effect on cancer progression, specifically cell viability and migration. Cancer-associated fibroblasts (CAFs) were obtained from patients with colorectal cancer to analyze the effect of the exosomes on the tumor microenvironment. RNA sequencing was performed to evaluate the effect of the exosomes on the mRNA component of CAFs. The results showed that exosome treatment significantly increased cancer cell proliferation, upregulated N-cadherin, and downregulated E-cadherin. Exosome-treated cells exhibited higher motility than control cells. Compared with control CAFs, exosome-treated CAFs showed more downregulated genes. The exosomes also altered the regulation of different genes involved in CAFs. In conclusion, colon cancer-cell-derived exosomes affect cancer cell proliferation and the epithelial–mesenchymal transition. They promote tumor progression and metastasis and affect the tumor microenvironment.

Purpose: The integration of artificial intelligence (AI) and magnetic resonance imaging in rectal cancer has the potential to enhance diagnostic accuracy by identifying subtle patterns and aiding tumor delineation and lymph node assessment. According to our systematic review focusing on convolutional neural networks, AI-driven tumor staging and the prediction of treatment response facilitate tailored treat­ment strategies for patients with rectal cancer. Methods: This paper summarizes the current landscape of AI in the imaging field of rectal cancer, emphasizing the performance reporting design based on the quality of the dataset, model performance, and external validation. Results: AI-driven tumor segmentation has demonstrated promising results using various convolutional neural network models. AI-based predictions of staging and treatment response have exhibited potential as auxiliary tools for personalized treatment strategies. Some studies have indicated superior performance than conventional models in predicting microsatellite instability and KRAS status, offer­ing noninvasive and cost-effective alternatives for identifying genetic mutations. Conclusion: Image-based AI studies for rectal can­cer have shown acceptable diagnostic performance but face several challenges, including limited dataset sizes with standardized data, the need for multicenter studies, and the absence of oncologic relevance and external validation for clinical implantation. Overcoming these pitfalls and hurdles is essential for the feasible integration of AI models in clinical settings for rectal cancer, warranting further research.

Kim M, et al. Korean J Radiol. 2023 Sep;24(9):849-859. https://doi.org/10.3348/kjr.2023.0109

This article examines the pedagogical potential of a Web-based GIS application, Population Migration Web Service (PMWS), in which students can examine population geography in an interactive and exploratory manner. This article introduces PMWS, a tailored, unique Internet GIS application that provides functions for visualizing spatial interaction data. The easy-to-use interface of PMWS enables users to interactively and intuitively explore migration data in the form of flow maps and to use local data. The results of the usability survey indicated that pre-service teachers (n = 33) believe that PMWS represents an alternative GIS tool that overcomes the obstacles of desktop GIS in secondary education.

Enhanced recovery after surgery (ERAS) protocols are designed to minimize surgical stress, preserve physiological function, and expedite recovery through standardized perioperative care for primary colorectal surgery patients. This narrative review explores the benefits of current ERAS protocols in improving outcomes for these patients and provides insights into future advancements. Numerous studies have shown that ERAS protocols significantly reduce the length of hospital stays by several days compared to conventional care. Additionally, the implementation of ERAS is linked to a reduction in postoperative complications, including lower incidences of surgical site infections, anastomotic leaks, and postoperative ileus. Patients adhering to ERAS protocols also benefit from quicker gastrointestinal recovery, marked by an earlier return of bowel function. Some research indicates that colorectal cancer patients undergoing surgery with ERAS protocols may experience improved overall survival rates. High compliance with ERAS protocols leads to better outcomes, yet achieving full adherence continues to be a challenge. Despite these advantages, implementation challenges persist, with compliance rates affected by varying clinical practices and resource availability. However, the future of ERAS looks promising with the incorporation of prehabilitation strategies and technologies such as wearable devices and telemedicine. These innovations provide real-time monitoring, enhance patient engagement, and improve postoperative follow-up, potentially transforming perioperative care in colorectal surgery and offering new avenues for enhanced patient outcomes.