Assessing the prognosis mortality in patients with cutaneous verrucous carcinoma using Lasso-cox regression model: a retrospective study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Elucidating risk factors and prognostic indicators for cutaneous verrucous carcinoma (CVC) is crucial for rapid medical intervention. This study examined CVC incidence risk and prognostic factors, emphasizing sex disparities. Utilizing SEER Database records, we analyzed patients diagnosed with primary CVC from 2004 to 2015. Multivariate logistic regression identified risk factors for the incidence model, while multivariate Cox regression developed the mortality prognosis model. Lasso regression and lasso Cox models determined key factors for respective models. Restricted cubic spline (RCS) models measured age-related risk associated with CVC presence and survival. The study included 1,125 CVC patients (668 males, 59.4%; 457 females, 40.6%) at the time of diagnosis. Lasso regression identified independent risk factors including age, sex, race, marital status, AJCC Stage, Combined Summary Stage, radiation, surgery, tumor size, chemotherapy, and regional lymph node involvement. The Age, sex, marital status, AJCC stage, combined summary stage, and surgery were independently associated with overall survival (OS) and statistically significant. Kaplan-Meier analysis revealed significantly shorter OS in female CVC patients compared to males (P < 0.05). The RCS model demonstrated a U-shaped pattern, indicating a significant nonlinear relationship between age and CVC incidence. The current study uncovered sex-related variations in incident risk and mortality prognostic factors, prediction of complications among CVC patients, offering valued insights for healthcare professionals in clinical assessments and interventions.
Source: Discover Oncology
Authors: Santosh Chokkakula, Siomui Chong, Yu-Yen Yang, Liying Huang, Yanan Qian, Qixiang Sun, Sijian Xia, Xiaoxi Zhang, Jiang Yong, Balaji Pathakumari, D. S. Prabakaran, In-Cheong Si, Yuyi Ou, Chengliang Yin
Institutions: Chungbuk National University, University of Hong Kong - Shenzhen Hospital, First Affiliated Hospital of Jinan University, Henan University of Traditional Chinese Medicine, Shandong First Medical University, Capital Medical University, Mayo Clinic, SRM Institute of Science and Technology, Guangdong Medical College, Foshan Maternity and Child Health Care Hospital, Chinese PLA General Hospital
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,690
OpenAlex ID: W4411269556
