Survival of 7,311 Lung Cancer Patients by Pathological Stage and Histological Classification: a Multicenter Hospital-based Study in China

Overview

Journal Transl Lung Cancer Res

Date 2022 Sep 12

PMID 36090636

Authors

Siyi He

He Li

Maomao Cao

Dianqin Sun

Fan Yang

Xinxin Yan

Shaoli Zhang

Yutong He

Lingbin Du

Xibin Sun

Ning Wang

Min Zhang

Kuangrong Wei

Lin Lei

Changfa Xia

Ji Peng

Wanqing Chen

Affiliations

Soon will be listed here.

Abstract

Background: Representative prognostic data by clinical characteristics for lung cancer is not yet available in China. This study aimed to calculate the survival of lung cancer patients with different pathological evaluations, explore their predictive effects and provide information for prognosis improvement.

Methods: In this multicenter cohort study, primary lung cancer patients diagnosed in 17 hospitals at three distinct levels in China between 2011-2013 were enrolled and followed up till 2020. Overall survival and lung cancer specific survival were calculated by Kaplan-Meier method. Cox proportional hazards model was applied to assess the effects of predictors of lung cancer survival.

Results: Of all the 7,311 patients, the 5-year overall and lung cancer specific survival rates were 37.0% and 41.6%, respectively. For lung cancer patients at stages I, II, III, and IV, the 5-year overall survival rates were 76.9%, 56.1%, 32.6%, and 21.4%, respectively; the lung cancer specific survival rates were 82.3%, 59.7%, 37.2%, and 26.4%, respectively. Differences of survival for each stage remained significant between histological classifications (P<0.01). The 5-year overall survival rates for patients with squamous cell carcinoma, adenocarcinoma (AC), and small cell carcinoma were 36.9%, 43.3% and 27.9%, respectively; the corresponding disease-specific rates were 41.5%, 48.6% and 31.0%, respectively. Such differences were non-statistically significant at advanced stages (P=0.09). After multivariate adjustments, stage and classification remained independent predictors for the survival of lung cancer.

Conclusions: The prognosis of lung cancer varied with the pathological stages and histological classifications, and had room for improvement. Stage was the strongest predictor, so efforts on early detection and treatment are needed.

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