Circulating Lipid- and Inflammation-Based Risk (CLIR) Score: A Promising New Model for Predicting Outcomes in Complete Colorectal Liver Metastases Resection

Clinical Prediction Models for Prognosis of Colorectal Liver Metastases: A Comprehensive Review of Regression-Based and Machine Learning Models

Colorectal liver metastasis (CRLM) is a disease entity that warrants special attention due to its high frequency and potential curability. Identification of "high-risk" patients is increasingly popular for risk stratification and personalization of the management pathway. Traditional regression-based methods have been used to derive prediction models for these patients, and lately, focus has shifted to artificial intelligence-based models, with employment of variable supervised and unsupervised techniques. Multiple endpoints, like overall survival (OS), disease-free survival (DFS) and development or recurrence of postoperative complications have all been used as outcomes in these studies. This review provides an extensive overview of available clinical prediction models focusing on the prognosis of CRLM and highlights the different predictor types incorporated in each model. An overview of the modelling strategies and the outcomes chosen is provided. Specific patient and treatment characteristics included in the models are discussed in detail. Model development and validation methods are presented and critically appraised, and model performance is assessed within a proposed framework.

Matrine impedes colorectal cancer proliferation and migration by downregulating endoplasmic reticulum lipid raft associated protein 1 expression

Matrine exhibits anti-tumor effect on the proliferation and invasion of colorectal cancer (CRC) cells by reducing the activity of the p38 signaling pathway. However, these studies were limited because the underlying mechanism by which matrine inhibited CRC progression remained unclear. In this study, we provided for the first time that endoplasmic reticulum lipid raft associated protein 1 (Erlin1) is a novel target of matrine. Erlin1 was significantly upregulated in tumors and its knockdown suppressed the proliferation and migration of CRC cells, while its overexpression promoted CRC cell growth and migration. Furthermore, Erlin1 overexpression promoted inhibited apoptosis. Importantly, matrine treatment could reverse the oncogenic function of Erlin1 on CRC cell proliferation and migration. When Erlin1 was knocked down, matrine exhibited a more obvious anti-tumor effect in CRC cells. Partly due to this, matrine functions as an important anti-tumor drug and the results discovered here may clarify the mechanisms of matrine application for CRC treatment. CRC patients with low expression of Erlin1 might be more suitable for the treatment of matrine. This study could promote the application of matrine to be a promising therapeutic strategy for CRC patients.