Prognostic factors in patients with thymoma who underwent surgery

• Published in: World journal of surgical oncology Vol. 21; no. 1; p. 203
• Main Authors: Jiang, Yu-Gang, Ma, Mu-Yuan, Wu, Jia-Jun, Ma, Rong, Bai, Xue-Hong, Zhao, Ren, He, Jin-Xi, Wang, Yan-Yang
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 11.07.2023; BioMed Central; BMC
• Subjects: Analysis; Care and treatment; Chemotherapy; Classification; Disease; Hazard identification; Health aspects; Histology; Hospitals; Leukocytes (neutrophilic); Measurement; Mediastinum; Medical prognosis; Metastasis; Multivariate analysis; Neutrophils; Nomograms; Nomography (Mathematics); Ostomy; Patient outcomes; Patients; Performance evaluation; Prognosis; Radiation therapy; Rank tests; Regression analysis; Regression models; Risk factors; Smoke; Smoking; Surgery; Survival; Thymectomy; Thymoma; Tumors; China; Prognosis; Smoke; Thymoma; Surgery; Neutrophils
• ISSN: 1477-7819; 1477-7819
• DOI: 10.1186/s12957-023-03068-9

Thymoma is the most common primary tumor in the anterior mediastinum. The prognostic factors of patients with thymoma still need to be clarified. In this study, we aimed to investigate the prognostic factors of patients with thymoma who received radical resection and establish the nomogram to predict the prognosis of these patients. Patients who underwent radical resection for thymoma with complete follow-up data between 2005 and 2021 were enrolled. Their clinicopathological characteristics and treatment methods were retrospectively analyzed. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method and compared by the log-rank test. Univariate and multivariate Cox proportional hazards regression analyses were performed to identify the independent prognostic factors. According to the results of the univariate analysis in the Cox regression model, the predictive nomograms were created. A total of 137 patients with thymoma were enrolled. With a median follow-up of 52 months, the 5-year and 10-year PFS rates were 79.5% and 68.1%, respectively. The 5-year and 10-year OS rates were 88.4% and 73.1%, respectively. Smoking status (P = 0.022) and tumor size (P = 0.039) were identified as independent prognostic factors for PFS. Multivariate analysis showed that a high level of neutrophils (P = 0.040) was independently associated with OS. The nomogram showed that the World Health Organization (WHO) histological classification contributed more to the risk of recurrence than other factors. Neutrophil count was the most important predictor of OS in patients with thymoma. Smoking status and tumor size are risk factors for PFS in patients with thymoma. A high level of neutrophils is an independent prognostic factor for OS. The nomograms developed in this study accurately predict PFS and OS rates at 5 and 10 years in patients with thymoma based on individual characteristics.