Analysis of correlation factors for occurrence and progression-free survival of cavitating lung cancer in 947 cases.
- Author:
Dengxia YANG
1
;
Chan ZHOU
;
Xinyue WANG
;
Qian KONG
;
Zhujun LIU
;
Kai LI
2
Author Information
- Publication Type:Journal Article
- MeSH: Antigens, Neoplasm; metabolism; Disease-Free Survival; Humans; Kaplan-Meier Estimate; Keratin-19; metabolism; Lung Neoplasms; mortality; pathology; therapy; Regression Analysis; Retrospective Studies; Risk Factors; Time Factors
- From: Chinese Journal of Oncology 2015;37(7):534-539
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVEThis study was designed to investigate the correlation factors for occurrence and progression-free survival of patients with cavitating lung cancer.
METHODSWe collected the clinical data of 947 lung cancer patients. Tumor cavitation was observed in 51 patients at baseline and in 23 patients after treatment, while was not discovered in other 873 patients. Multifactor logistic regression was performed to analyze the correlation factors for occurrence. The independent predictors of PFS were analyzed with Cox proportional regression. Survival curves were constructed with the Kaplan-Meier product limit method and compared using the log-rank test.
RESULTSIn the 947 cases, the proportion of cases with baseline cavitation was 5.4% and the incidence of cavitation after treatment was 2.6%. Multivariate logistic regression analysis revealed that the occurrence of baseline cavitation is related to age, history of diabetes, history of drinking, pathologic types, tumor location, tumor diameter and distant metastasis (P < 0.05). Multifactor logistic regression analysis revealed that the occurrence of post-therapeutic cavitation is related to sex, pathologic types and tumor diameter (P < 0.05).The median PFS of patients with baseline cavitation (7.3 months) was significantly longer than the cases without it (5.2 months) (P = 0.002). While there was no significant difference between the median PFS of patients with post-therapeutic cavitation and patients without it (5.1 months vs. 5.3 months, P = 0.060). Cox proportional regression analysis revealed that cyfra21-1 is related to PFS of patients with baseline cavitaion (P < 0.05) and smoking history is related to PFS of patients with post-therapeutic cavitaion (P < 0.05).
CONCLUSIONSPatients with baseline and post-therapeutic cavitation present different clinical features and progression-free survivals. The PFS of patients with baseline cavitation is longer than that of the cases without it. On the contrary, PFS of patients with post-therapeutic cavitation is shorter than the patients without it.
