Prognostic impact of advanced lung cancer inflammation index (ALI) on patients with adenocarcinoma of esophagogastric junction (AEG) after radical resection

Abstract Background To evaluate the prognostic impact of the advanced lung cancer index (ALI) in patients with the adenocarcinoma of esophagogastric junction (AEG) after radical resection. Methods The data of patients with AEG after radical resection at Guangdong Provincial People’s Hospital from January 2008 to December 2018 were retrieved. The cutoff value of ALI was determined and the prognostic impact of clinicopathological factors and ALI were analyzed. A nomogram based on the independent prognostic factors for overall survival was then built. Results A total of 147 patients were eligible and based on a cutoff of ALI 43.1, 90 (61.2%) and 57 (38.8%) patients were classified in a low- (ALI༜43.1) and high-ALI (ALI༞43.1) group. Multivariate Cox proportional hazard analysis showed that low-ALI was associated with poor overall survival (OS) (p༜0.001, HR 2.541, 95%CI 1.408-4.410) and disease-free survival (DFS) (p=0.021, HR 1.789, 95%CI 1.020-2.674). In subgroup analysis, low-ALI was independent predictor for OS (p=0.001, HR 2.628, 95%CI 1.467-4.707) in stage III/IVA AEG patients. A nomogram for OS estimation was constructed and the C-index was 0.699 (95%CI 0.636-0.762) and the calibration plots showed satisfactory consistency between actual observation and nomogram-predicted OS probabilities. Further, satisfactory predictive accuracy for 1-, 2-, and 3-year OS rates with an area under the curve of 0.736, 0.712 and 0.697, respectively, was observed. Conclusions ALI was an independent prognostic factor for AEG patients after radical resection, and demonstrated promising ability for risk stratification of AEG, especially in advanced-stage disease..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

ResearchSquare.com - (2022) vom: 28. Feb. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Liao, Qianchao [VerfasserIn]
Yang, Zifeng [VerfasserIn]
Hu, Xu [VerfasserIn]
Zheng, Chengbin [VerfasserIn]
Feng, Huolun [VerfasserIn]
Deng, Zhenru [VerfasserIn]
Zheng, Jiabin [VerfasserIn]
Wang, Junjiang [VerfasserIn]
Hu, Weixian [VerfasserIn]
Li, Yong [VerfasserIn]

Links:

Volltext [kostenfrei]

doi:

10.21203/rs.3.rs-1020724/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA034676392