|Table of Contents|

Analysis of prognostic factors in patients with lung adenosquamous carcinoma　

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2024 06
Page:
1048-1054
Research Field:
Publishing date:

Info

Title:
Analysis of prognostic factors in patients with lung adenosquamous carcinoma　
Author(s):
WANG Qiutong1; CHEN Ling1; YANG Yanmei1; WANG Ming2; WU Shuang1; AN Yuezhen3; JIANG Junjie4; ZHAO Rui5
1.Cangzhou Medical College,Hebei Cangzhou 061001,China;2.Department of Oncology;3.Department of Laboratory;4.Department of Thyroid and Mammary Surgery,Cangzhou Central Hospital,Hebei Cangzhou 061001,China;5.Beijing Chaoyang Hospital,Capital Medical University,Beijing 100020,China.
Keywords:
adenosquamous carcinoma; tumor marker; coagulation function; medical imaging; prognosis
PACS:
R734.2
DOI:
10.3969/j.issn.1672-4992.2024.06.011
Abstract:
Objective:To explore the clinical prognostic factors of ASC lung cancer patients and construct the nomograph model.Methods:The clinical data of ASC lung cancer patients who were discharged from Cangzhou Central Hospital from January 2009 to January 2020 were retrospectively analyzed．Univariate and multivariate Cox regression analysis was used to determine the prognostic factors，evaluate the survival difference of each prognostic factor and construct the nomogram model.Results:The mOS of the 149 patients was 17.7months．The results of multivariate analysis showed that surgical,chemotherapy,combined therapy,brain metastasis and inflammatory changes surrounding the tumor were independent prognostic factors in patients with lung adenosquamous carcinoma.The results of subgroup analysis showed that the mOS in surgical group were significantly higher than no surgical group (P＜0.001),the mOS in chemotherapy group were significantly higher than no chemotherapy group (P=0.005),the mOS in combined therapy group were significantly higher than no combined therapy group (P=0.002),the mOS in the inflammatory changes surrounding the tumor group was significantly lower than inflammatory no changes surrounding the tumor group (P=0.013),the mOS in brain metastasis group were significantly lower than no brain metastasis group (P＜0.001),the mOS of high risk group (≥3 points) was significantly lower than that of low risk group (<3 points)(P=0.054).The AUC of the nomogram model integrating the above five factors achieved 0.752（AUC＝0.752，95%CI：0.659～0.845）,and the model prediction of patients survive rate was consistent in the actual survive rate.Conclusion:The overall survival rate of ASC was low.Surgical,chemotherapy,combined therapy,brain metastasis and inflammatory changes surrounding the tumor are independent risk factors of ASC lung cancer patients．The prediction model based on the multi-indicators can assist the clinical diagnosis and prognosis of ASC lung cancer patients.

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