Li JunHu, Zhu Na, Wang Cheng, You LiuPing, Guo WenLong, Yuan ZhiHan, Qi Shuai, Zhao HanZheng, Yu JiaYong, Huang YueNan
Department of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Department of Phase I Clinical Research, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Sci Rep. 2023 Oct 12;13(1):17272. doi: 10.1038/s41598-023-43391-5.
The immunonutritional status has important effects on outcomes for cancer patients. Albumin-to-globulin ratio (AGR) and the prognostic nutrition index (PNI) are often used to assess the immunonutritional status of cancer patients. However, the clinical significance of these factors in colorectal cancer (CRC) remains unclear. We aimed to evaluate the clinical significance of the AGR and PNI in CRC. We reviewed the clinical data of 511 patients with CRC in two hospitals. Data from one institution was used as the training cohort. The optimal cutoff values for AGR and PNI in the training cohort were 1.4 and 48.65, respectively. Patients in both the low AGR and low PNI groups had poor overall survival (OS) and progression-free survival (PFS), while those in the low AGR-low PNI group had the lowest OS and PFS. Multivariate analysis revealed that preoperative AGR, preoperative PNI, gross type, and TNM stage were independent prognostic factors influencing OS in patients with CRC. Preoperative AGR, preoperative PNI, and TNM stage were independently associated with PFS in patients with CRC. According to the results of multivariate analysis in the training cohort, we developed the nomograms for OS and PFS and performed internal and external validation, which showed good prediction ability of the nomograms. In conclusion, preoperative AGR and PNI can be used as effective indicators to predict survival for patients with CRC. AGR and PNI may help develop effective adjuvant-therapy schedules.
免疫营养状态对癌症患者的预后有重要影响。白蛋白与球蛋白比值(AGR)和预后营养指数(PNI)常被用于评估癌症患者的免疫营养状态。然而,这些因素在结直肠癌(CRC)中的临床意义仍不明确。我们旨在评估AGR和PNI在CRC中的临床意义。我们回顾了两家医院511例CRC患者的临床资料。来自一个机构的数据用作训练队列。训练队列中AGR和PNI的最佳临界值分别为1.4和48.65。AGR低和PNI低的组患者总生存期(OS)和无进展生存期(PFS)均较差,而AGR低-PNI低组患者的OS和PFS最低。多因素分析显示,术前AGR、术前PNI、大体类型和TNM分期是影响CRC患者OS的独立预后因素。术前AGR、术前PNI和TNM分期与CRC患者的PFS独立相关。根据训练队列的多因素分析结果,我们绘制了OS和PFS的列线图并进行了内部和外部验证,结果显示列线图具有良好的预测能力。总之,术前AGR和PNI可作为预测CRC患者生存的有效指标。AGR和PNI可能有助于制定有效的辅助治疗方案。