Colorectal cancer(CRC)is one of the most common malignant life-threatening tumors,with serious impacts on patient quality of life.Src homology 2 domain-containing protein tyrosine phosphatase(SHP2)has recently become a hot topic in the field of cancer research,and has demonstrated a close relationship with CRC.SHP2,encoded by the PTPN11 gene,is a non-receptor tyrosine kinase commonly present in various tissues and cells of the human body.Existing research shows that SHP2 plays a crucial role in regulating CRC and colitis-associated colon cancer(CAC),and the emergence of SHP2 allosteric inhibitors has identified SHP2 as a potential new therapeutic target for patients with CRC.Here we review the structure of SHP2 and its roles in CRC and CAC.

Digestive system tumors account for more than half of all malignant tumors in terms of incidence and mortality,and thus pose a serious threat to human health.Haptoglobin(Hp)is an acute-phase glycoprotein that is elevated in both plasma and tumor tissues in various clinical conditions,including different types of cancer,such as liver,gastric,colorectal,pancreatic,and gallbladder cancer.Numerous studies have indicated that Hp plays a significant role in the prognosis of cancer patients,highlighting its potential as a prognostic marker for gastrointestinal tumors,with important clinical applications.Despite its demonstrated crucial role in the development of various tumors,however,the specific mechanisms of Hp in gastrointestinal tumors remain controversial.This review considers the differential expression and clinical significance of Hp in the five major types of gastrointestinal tumors,to explore its role in different stages of cancer progression and prognosis.This review thus aims to provide reliable and accurate serum biomarkers for the screening,early diagnosis,treatment,and prognosis monitoring of gastrointestinal tumors,with important implications for predicting the survival and prognosis of cancer patients.

Colorectal cancer(CRC)is one of the most common malignant life-threatening tumors,with serious impacts on patient quality of life.Src homology 2 domain-containing protein tyrosine phosphatase(SHP2)has recently become a hot topic in the field of cancer research,and has demonstrated a close relationship with CRC.SHP2,encoded by the PTPN11 gene,is a non-receptor tyrosine kinase commonly present in various tissues and cells of the human body.Existing research shows that SHP2 plays a crucial role in regulating CRC and colitis-associated colon cancer(CAC),and the emergence of SHP2 allosteric inhibitors has identified SHP2 as a potential new therapeutic target for patients with CRC.Here we review the structure of SHP2 and its roles in CRC and CAC.

Digestive system tumors account for more than half of all malignant tumors in terms of incidence and mortality,and thus pose a serious threat to human health.Haptoglobin(Hp)is an acute-phase glycoprotein that is elevated in both plasma and tumor tissues in various clinical conditions,including different types of cancer,such as liver,gastric,colorectal,pancreatic,and gallbladder cancer.Numerous studies have indicated that Hp plays a significant role in the prognosis of cancer patients,highlighting its potential as a prognostic marker for gastrointestinal tumors,with important clinical applications.Despite its demonstrated crucial role in the development of various tumors,however,the specific mechanisms of Hp in gastrointestinal tumors remain controversial.This review considers the differential expression and clinical significance of Hp in the five major types of gastrointestinal tumors,to explore its role in different stages of cancer progression and prognosis.This review thus aims to provide reliable and accurate serum biomarkers for the screening,early diagnosis,treatment,and prognosis monitoring of gastrointestinal tumors,with important implications for predicting the survival and prognosis of cancer patients.

Objective Taking the prediction of the number of nurses per thousand cases as an example, to discuss the application of grey model GM(1, 1)-linear regression Coupling Model in the prediction of regional nursing human resource, so as to provide methodology reference for health human resource prediction.Methods The grey model GM (1, 1) was built up by EXCEL formula to predict the influencing factors of the number of nurses per thousand people. The predictive value of the influencing factors were substituted into the regression equation for the annual prediction of regional nursing human resource. Results The fitting error between predicted value and actual value was small when using the grey model GM (1, 1)-linear regression coupling model in the prediction of regional nursing human resource. The accuracy level of this coupling model prediction is excellent, and the prediction result can be used as a reference for target year. Conclusions The coupling model not only makes up for the lack of 1inear factors in the grey system model, but also improves the defect that exponential growth cannot be expressed in the linear regression prediction model, so the construction of the coupling model is reasonable and feasible.