Analysis of factors potentially predicting prognosis of colorectal cancer

• DOI: 10.4251/wjgo.v11.i12.1206
• Publication Date: 2022-12-22T09:44:27Z
• Authors: Li-Jun Jin; Wei-Bin Chen; Xiao-Yu Zhang; Jie Bai; Hao-Chen Zhao; Zun-Yi Wang
• Keywords: Carcinoembryonic antigen; T-stage

Accurate assessment of the prognosis after colorectal cancer surgery is great significance in patients with cancer. However, there no systematic analysis factors affecting currently.To systematically analyze influence clinical data and serological histological indicators on cancer, to explore that can accurately assess cancer.A total 374 were enrolled. The data, tumor-node-metastasis (TNM) stage, Dukes stage recorded. All received examinations including carcinoembryonic antigen (CEA), carbohydrate 199, C-reactive protein, albumin, D-dimer, fibrinogen as well routine blood tests one week before surgery. tumor location, size, depth invasion, lymph node metastasis, distant metastasis recorded during pathological tissue typing expression proliferating cell nuclear (PCNA) p53 observed. followed for 3 years, endpoint events defined a poor group, remaining good group. differences serology, histology analyzed between two groups. Multivariate COX regression was used independent influencing receiver operating characteristic curve evaluate predictive value each their combination cancer.The follow-up outcomes showed 81 group 274 TNM PCNA, Glasgow prognostic score (GPS), neutrophil-lymphocyte ratio (NLR), protein/albumin (CAR), CEA (P = 0.000). NLR had highest power [area under (AUC) 0.925], by D-dimer (AUC 0.879) GPS 0.872). accuracy all predicting 0.973), which significantly higher than any alone < 0.05). sensitivity specificity 92.59% 90.51%, respectively.The include GPS, NLR, CAR, CEA. combined most accurate predictor