HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Prognostic factors of patients with advanced lung cancer treated with anlotinib: a retrospective cohort study.

AbstractOBJECTIVE:
Our study aimed to evaluate the main factors affecting the efficacy of anlotinib to determine the therapeutically dominant populations.
METHODS:
The medical records of patients with lung cancer who were treated with anlotinib from July 2018 to February 2020 at Renji Hospital, School of Medicine, Shanghai Jiaotong University were retrospectively reviewed. The optimal cutoff prognostic nutritional index (PNI) value for predicting efficacy was determined according to receiver operating characteristic curves. Progression-free survival (PFS) and overall survival (OS) were calculated and compared using the Kaplan-Meier method and log-rank test. The prognostic values of each variable were evaluated with univariate and multivariate Cox proportional hazard regression analyses.
RESULTS:
The overall disease control rate of 44 patients with lung cancer was 93.2% (41/44). The median PFS was 5.0 months (95% [confidence interval] CI: 2.2-7.8), and the median OS was 6.5 months (95% CI: 3.6-9.3). The multivariate analysis results indicated that hand-foot syndrome and high PNI values were independent protective factors of PFS and OS.
CONCLUSIONS:
Anlotinib was effective in treating locally advanced or advanced lung cancer. High pretreatment PNI scores and the presence of hand-foot syndrome after treatment were independent prognostic markers for favorable OS and PFS.
AuthorsBijun Fan, Xiaoming Tan, Yueyan Lou, Yu Zheng, Liyan Zhang, Xueling Wu
JournalThe Journal of international medical research (J Int Med Res) Vol. 49 Issue 10 Pg. 3000605211046173 (Oct 2021) ISSN: 1473-2300 [Electronic] England
PMID34758674 (Publication Type: Journal Article)
Chemical References
  • Indoles
  • Quinolines
  • anlotinib
Topics
  • China
  • Humans
  • Indoles
  • Lung Neoplasms (drug therapy)
  • Prognosis
  • Quinolines
  • Retrospective Studies

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: