Abstract |
Hypoxia is an important factor in tumor angiogenesis, metastasis, and resistance to chemotherapy or radiotherapy, and may be an indicator of poor prognosis. The transcription factor hypoxia-inducible factor 1 (HIF-1) is the key regulator of the hypoxic state. This study was designed to evaluate the prognostic value of HIF-1α expression in small cell lung cancer (SCLC). Forty-three paraffin-embedded biopsy materials were examined using immunohistochemistry. Our results indicated that the expression of HIF-1α was high in males, and patients with poor Eastern Cooperative Oncology Group (ECOG) performance status and metastases. To elucidate the prognostic value of HIF-1α expression, Kaplan-Meier analysis was carried out and the results showed that patients with high HIF-1α expression had a poorer prognosis than patients with low expression of HIF-1α. After adjusting clinical parameters by the Cox proportional hazards model, our results demonstrated that high HIF-1α expression is an independent prognostic factor for SCLC with a 39.2-fold risk of death (p<0.003). In conclusion, we have provided evidence that HIF-1α expression has significant value in predicting survival of patients with SCLC and is an independent prognostic factor beyond ECOG performance and metastasis status.
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Authors | Chang-Sheng Lin, Tu-Chen Liu, Ming-Tsung Lee, Shun-Fa Yang, Thomas Chang-Yao Tsao |
Journal | International journal of medical sciences
(Int J Med Sci)
Vol. 14
Issue 8
Pg. 785-790
( 2017)
ISSN: 1449-1907 [Electronic] Australia |
PMID | 28824314
(Publication Type: Journal Article)
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Chemical References |
- Biomarkers, Tumor
- HIF1A protein, human
- Hypoxia-Inducible Factor 1, alpha Subunit
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Topics |
- Aged
- Aged, 80 and over
- Biomarkers, Tumor
(genetics)
- Drug Resistance, Neoplasm
(genetics)
- Female
- Gene Expression Regulation, Neoplastic
- Humans
- Hypoxia-Inducible Factor 1, alpha Subunit
(genetics)
- Kaplan-Meier Estimate
- Male
- Middle Aged
- Neoplasm Metastasis
- Neovascularization, Pathologic
(diagnosis, genetics, pathology)
- Prognosis
- Proportional Hazards Models
- Small Cell Lung Carcinoma
(genetics, mortality, pathology)
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