Primary Squamous Cell Carcinoma in the Thyroid Gland: A Population-Based Analysis Using the SEER Database View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-04

AUTHORS

Shuwen Yang, Cunfu Li, Xiao Shi, Ben Ma, Weibo Xu, Hongyi Jiang, Wanlin Liu, Qinghai Ji, Yu Wang

ABSTRACT

ObjectsTo evaluate prognostic factors and treatment outcomes of primary squamous cell carcinoma in thyroid (PSCCTh) over the past decades using a large national database.MethodsAll patients diagnosed with PSCCTh between 1973 and 2015 were identified with the Surveillance, Epidemiology, and End Results Program (SEER) 18-registry database. Relevant clinical data were collected, and prognostic factors of overall survival (OS) and disease-specific survival (DSS) were analyzed.ResultsThis cohort study included 242 patients, accounting for 0.12% of all primary thyroid carcinomas from 1973 to 2015 nationwide. Of the patients with PSCCTh, 75% were older than 60 years at diagnosis. Patient age older than 60 years (HR 2.242, 95% CI 1.367–3.676, P = 0.001) and a tumor size larger than or equal to 50 mm (HR 1.479, 95% CI 1.011–2.165, P = 0.044) were independent negative prognostic factors. The univariate analysis suggested that the morphological subtype (OS, P = 0.033; DSS, P = 0.048), clinical treatment modality (OS, P < 0.0001; DSS, P < 0.0001), and T stage (OS, P = 0.004; DSS, P = 0.001) were important predictive factors for OS and DSS. In contrast, gender, race, year of diagnosis, geographic location, N stage, and M stage were not prognostic factors.ConclusionsPSCCTh is a rare malignancy with an aggressive nature and poor prognosis. Survival is predicted by the treatment modality, patient age, T stage, tumor size, and morphological subtypes. This study showed that early diagnosis and complete surgical resection plus adjuvant radiation therapy were associated with a better outcome. More... »

PAGES

1249-1255

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00268-019-04906-2

DOI

http://dx.doi.org/10.1007/s00268-019-04906-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111908744

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30719559


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