Research Papers:
Propensity score matching analysis of the prognosis for the rare insular subtype of thyroid cancer based on SEER database
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Abstract
Yan Liu1,2,*, Zeming Liu2,*, Qiuyang Zhao2, Teng Hua1, Shuqi Chi1, Tao Huang2 and Hongbo Wang1
1Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
2Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
*These authors contributed equally to this work
Correspondence to:
Tao Huang, email: [email protected]
Hongbo Wang, email: [email protected]
Keywords: insular thyroid carcinoma, thyroid cancer, prognosis, SEER, propensity score matching
Received: August 02, 2017 Accepted: September 24, 2017 Published: October 11, 2017
ABSTRACT
Insular thyroid carcinoma (ITC) is an uncommon thyroid malignancy with an unclear prognosis. The aim of this study was to determine the prognoses of patients with ITC. We investigated a large cohort of patients with differentiated thyroid cancer from the Surveillance, Epidemiology, and End Results (SEER) database who were registered between 2004 and 2013, and compared the prognosis of patients with ITC to those with classic papillary thyroid cancer (CPTC) and follicular thyroid cancer (FTC). Patient mortality was determined using Kaplan-Meier analyses with log-rank tests, as well as Cox proportional hazards regression analyses. The study cohort comprised of 165 patients with ITC, 5419 patients with FTC, and 60739 patients with CPTC. The rate of cancer-specific mortality per 1000 person-years for ITC was higher than that for CPTC or FTC. According to multivariate Cox regression analysis, however, the cancer-specific and all-cause mortality rates of ITC were similar to those of CPTC and FTC. The cancer-specific survival rate in patients with ITC was higher than that in patients with CPTC, but similar to that in patients with FTC, after adjusting for potentially influencing factors using propensity score matching analysis. These findings, which contrast with previously published data, provide new implications for the treatment of patients with ITC.
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