关键词: 结直肠癌, 预后, 炎症, 肿瘤浸润淋巴细胞, 免疫, 列线图

Abstract: Colorectal cancer is one of the most common malignant tumors in the world. The incidence and mortality of colorectal cancer are increasing year by year in China, and the trend of younger age is becoming more and more obvious. Immune and inflammation-mediated anti-tumor responses are particularly important in the process of tumor treatment, and play an important role in the multi-stage development of tumors. In recent years, researchers have found that neutrophil-lymphocyte ratio (NLR), platelet- lymphocyte ratio (PLR) and prognostic nutritional index (PNI), which are systemic inflammatory markers, can guide the prognosis of patients undergoing radical colorectal cancer surgery. In addition, tumor-infiltrating lymphocytes (TIL) and tumor-associated macrophages (TAM) have also become a focus of research. As early as 2005, scholars found that for patients with colorectal cancer undergoing radical resection, the infiltrating lymphocytes in the tumor tissues were related to the prognosis of these patients, and the higher the density of infiltrating lymphocytes, the better the prognosis of the patients. In recent years, more and more studies have been conducted to verify these conclusions and explore the underlying mechanism. Traditional TNM staging system has been widely used to predict the prognosis of patients with colorectal cancer, however, it represents the biological behavior of the tumor and cannot accurately predict the risk of death and recurrence of patients with colorectal cancer. Some studies have established an individualized prediction model and visualized the prediction model by using the nomogram to predict the prognosis of resectable colorectal cancer patient with higher efficiency. This paper aimed to explore the predictive status of inflammatory markers and immune markers in resectable colorectal cancer, and at the same time, to search for a more efficient prognosis model of colorectal cancer to predict the prognosis of patient with resectable colorectal cancer more accurately.

Key words: Colorectal cancer, Prognosis, Inflammation, Tumor-infiltrating lymphocytes, Immune, Nomogram