YHYun‐xia Huang
Papers(2)
Adjuvant radiotherapy…Prognostic factors an…
Collaborators(4)
Zong‐kai ZhangJin‐Luan LiLi‐mei LinQin Lin
Institutions(2)
First Affiliated Hosp…Clinical Oncology Sch…

Papers

Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis

AbstractBackgroundThe potential therapeutic benefit of adjuvant radiotherapy for patients with stage I uterine sarcoma has not been clear. In this study, we aimed to develop a risk scoring model to select the subgroup of patients with stage I uterine sarcoma who might benefit from adjuvant radiotherapy.MethodsPatients with stage I uterine sarcoma from the Surveillance, Epidemiology, and End Results program from 2010 to 2014 were retrospectively included in this analysis. Cox proportional hazards models were performed to identify risk factors.ResultsA total of 947 stage I uterine sarcoma patients were included. The 5‐year disease‐specific survival (DSS) of the overall cohort was 75.81%. Multivariate analysis identified stage (p = 0.013), tumor grade (p <0.001) and histology (p = 0.043) as independent prognostic factors for DSS, and these factors were used to generate the risk scoring model. The low‐risk group presented a better DSS than the high‐risk group (95.51% vs. 49.88%, p < 0.001). The addition of radiotherapy to surgery significantly increased the DSS in the high‐risk group compared with surgery alone (78.06% vs. 46.88%, p = 0.022), but no significant survival benefit was observed in the low‐risk group (98.36% vs. 100%, p = 0.766).ConclusionsOur risk scoring model based on stage, tumor grade, and histology predicted the outcome of patients with stage I uterine sarcoma cancer. This system may help to select stage I uterine sarcoma cancer patients who might benefit from adjuvant radiotherapy.

Prognostic factors and treatment comparison in small cell neuroendocrine carcinoma of the uterine cervix based on population analyses

AbstractObjectiveWe aimed to assess the impact of the treatment modality on the outcome of small cell neuroendocrine cervical carcinoma (SCNEC) using the Surveillance Epidemiology and End Results (SEER) database.MethodsPatients from the SEER program between 1981 and 2014 were identified. Significant factors for cancer‐specific survival (CSS) and overall survival (OS) were analyzed using the Kaplan‐Meier survival and Cox regression methods.ResultsA total of 503 SCNEC patients were identified. The 5‐year CSS and OS were 36.6% and 30.6%, respectively. The International Federation of Gynecology and Obstetrics (FIGO) stage I to IV distributions was 189 (37.6%), 108 (21.5%), 95 (18.9%), and 111 patients (22.0%), respectively. Within the patients with known treatment strategies, 177 (45.9%) were treated with radical surgery and 209 (54.1%) underwent primary radiotherapy. Local treatment strategies were independent prognostic factor for CSS and OS. The 5‐year CSS for radical surgery and primary radiotherapy was 50.0% and 27.9%, respectively (P < .001). The 5‐year OS for those who received radical surgery and primary radiotherapy was 57.8%, and 29.6%, respectively (P < .001). In FIGO stage I SCNEC, patients treated with radical surgery had superior CSS (P = .001) and OS (P = .003) than those with primary radiotherapy. However, in FIGO stage II and III SCNEC, there were no differences in CSS and OS with respect to different local treatment strategies. Our results also found that the addition of brachytherapy impacted OS in the FIGO stage III SENCE (P = .002). The 5‐year CSS and OS of patients with FIGO IV were only 11.7% and 7.1%, respectively.ConclusionsSCNEC is a rare disease with aggressive clinical behavior. The findings indicate that radical surgery should be suggested for early‐stage SCNEC and combining radiation therapy with brachytherapy should be suitable for patients with advanced stage.

9Works
2Papers
4Collaborators

Positions

2019–

Researcher

Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University · Department of Radiation Oncology

Education

2019

MD

Fujian Cancer Hospital · Department of Radiation Oncology