Dynamic prognostication using conditional survival analysis for patients with operable lung adenocarcinoma

Published

Journal Article

© Kim et al. Purpose: To evaluate conditional survival among patients with surgically resected stage I-IIIa lung adenocarcinoma and identify changes in prognostic contributions for various prognostic factors over time. Patients and Methods: We performed conditional survival analysis at each t0 (=0, 1, 2, 3, 4, 5 years) for 723 consecutive patients who underwent surgical resection for lung adenocarcinoma, stratified by various clinicodemographic features, as well as pathologic and imaging (tumor-shadow disappearance ratio [TDR] on CT and maximum standardized uptake value [SUVmax] on PET) characteristics. Uni- and multivariable Cox regression analyses were performed to evaluate relationships between those variables and conditional survival. Results: Three-year conditional overall survival (OS) and diseasefree survival (DFS) were 92.12% and 75.51% at baseline, but improved steadily up to 98.33% and 95.95% at 5 years after surgery. In contrast to demographic factors, pathologic (stage, subtype, pathologic grade and differentiation) and radiologic factors (TDR and SUVmax) maintained a statistically significant association with subseqeunt 3-year OS until 3 years after surgery. According to the multivariable analysis, high SUVmax and low TDR value were independent predictors of subsequent 3-year OS and DFS at baseline, 1 and 2 years after surgery, respectively. Conclusion: Our findings based on CS provide theoretical background for clinicians to plan longer period of surveillance following lung adenocarcinoma resection in survivors with preoperatively high SUVmax and low TDR on PETCT and chest CT, respectively.

Full Text

Duke Authors

Cited Authors

  • Kim, W; Lee, HY; Jung, SH; Woo, MA; Kim, HK; Choi, YS; Kim, J; Zo, JI; Shim, YM; Han, J; Jeong, JY; Choi, JY; Lee, KS

Published Date

  • January 1, 2017

Published In

Volume / Issue

  • 8 / 19

Start / End Page

  • 32201 - 32211

Electronic International Standard Serial Number (EISSN)

  • 1949-2553

Digital Object Identifier (DOI)

  • 10.18632/oncotarget.12920

Citation Source

  • Scopus