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TTF-1、CD56、P40免疫组化标志物及其他临床特征与小细胞肺癌预后相关性研究
BACKGROUND AND OBJECTIVE: The aim of this study is to explore roles of thyroid transcription factor-1 (TTF-1), CD56, P40 expression and other clinical characteristics predicting response and survival in patients with small cell lung cancer (SCLC). METHODS: Formalin-fixed, paraffin-embedded biopsy ti...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
Publicado: |
中国肺癌杂志编辑部
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5973008/ https://www.ncbi.nlm.nih.gov/pubmed/28855032 http://dx.doi.org/10.3779/j.issn.1009-3419.2017.08.04 |
Sumario: | BACKGROUND AND OBJECTIVE: The aim of this study is to explore roles of thyroid transcription factor-1 (TTF-1), CD56, P40 expression and other clinical characteristics predicting response and survival in patients with small cell lung cancer (SCLC). METHODS: Formalin-fixed, paraffin-embedded biopsy tissues were retrospectively obtained from 198 SCLC patients who were diagnosed first in Xuanwu Hospital. The expressions of TTF-1, CD56 and P40 were detected by immunohistochemistry. The clinical data including age, gender, cancer stage, Eastern Cooperative Oncology Group (ECOG) score, smoking or not, superior vena cava syndrome (SVCS) due to lung cancer or not were collected. Cox proportional hazard model was used to analyze the relationship between the overall survival (OS) and factors. RESULTS: Immunohistochemical staining results showed the positive rate of TTF-1, CD56, P40 were 73.2%, 88.4% and 7.1% respectively. TTF-1 expression (OR=0.665, 95%CI: 0.472-0.937), smoking index ≤400 (OR=1.72, 95%CI: 1.061-2.789) and ECOG=2 (OR=3.551, 95%CI: 2.133-5.914), extensive-stage (OR=2.487, 95%CI: 1.793-3.451) and SVCS due to lung cancer (OR=2.394, 95%CI: 1.49-3.846) were independent prognostic factors for SCLC patients. CONCLUSION: Prognosis of SCLC was related to TTF-1 expression independently after adjusting smoking, ECOG score, stage and SVCS due to lung cancer. Detection of TTF-1, CD56 and P40 expression level might be helpful for predict the prognosis of SCLC. |
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