PT - JOURNAL ARTICLE AU - Yuexiang Liang AU - Guannan Sheng AU - Yu Guo AU - Yiping Zou AU - Hanhan Guo AU - Zhifei Li AU - Shaofei Chang AU - Quan Man AU - Song Gao AU - Jihui Hao TI - Prognostic significance of grade of malignancy based on histopathological differentiation and Ki-67 in pancreatic ductal adenocarcinoma AID - 10.20892/j.issn.2095-3941.2023.0363 DP - 2024 Jan 03 TA - Cancer Biology & Medicine PG - 20230363 4099 - http://www.cancerbiomed.org/content/early/2024/01/03/j.issn.2095-3941.2023.0363.short 4100 - http://www.cancerbiomed.org/content/early/2024/01/03/j.issn.2095-3941.2023.0363.full AB - Objective: Tumor cell malignancy is indicated by histopathological differentiation and cell proliferation. Ki-67, an indicator of cellular proliferation, has been used for tumor grading and classification in breast cancer and neuroendocrine tumors. However, its prognostic significance in pancreatic ductal adenocarcinoma (PDAC) remains uncertain.Methods: Patients who underwent radical pancreatectomy for PDAC were retrospectively enrolled, and relevant prognostic factors were examined. Grade of malignancy (GOM), a novel index based on histopathological differentiation and Ki-67, is proposed, and its clinical significance was evaluated.Results: The optimal threshold for Ki-67 was determined to be 30%. Patients with a Ki-67 expression level > 30% rather than ≤ 30% had significantly shorter 5-year overall survival (OS) and recurrence-free survival (RFS). In multivariate analysis, both histopathological differentiation and Ki-67 were identified as independent prognostic factors for OS and RFS. The GOM was used to independently stratify OS and RFS into 3 tiers, regardless of TNM stage and other established prognostic factors. The tumor-node-metastasis-GOM stage was used to stratify survival into 5 distinct tiers, and surpassed the predictive performance of TNM stage for OS and RFS.Conclusions: Ki-67 is a valuable prognostic indicator for PDAC. Inclusion of the GOM in the TNM staging system may potentially enhance prognostic accuracy for PDAC.The data that support the findings of this study are available from the corresponding author.