OBJECTIVE: We used a large patient population to identify immunohistochemical biomarkers to enable improved prognostication in patients with non-small cell lung carcinoma (NSCLC). METHODS: A tissue microarray was constructed using duplicate 0.6 mm cores of formalin-fixed paraffin-embedded tissue blocks from 609 patients with NSCLC. Immunohistochemical was used to detect 11 biomarkers including epidermal growth factor receptor, Her2, Her3, p53, p63, bcl-1, bcl-2, Thyroid transcription factor, carcinoembryonic antigen, chromogranin, and synaptophysin. A clinical database was generated prospectively at the time of tissue collection. Survival outcomes were obtained from a Provincial Cancer Registry database. Univariate and multivariate analyses were performed to look for a relationship between biomarker expression, smoking history, and survival. RESULTS: Survival data for 535 cases were available. As of June 2005, 429 patients (80%) had died; of these 286 (54%) died of lung cancer, 117 (22%) died of other known causes, and for 26 (5%) the cause of death was not available. Univariate analysis revealed that bcl-2 (p = 0.007) was the only biomarker prognostic for improved overall survival (OS). bcl-2 (p = 0.021) and p63 (p = 0.025) were both found to be prognostic for improved disease-specific survival (DSS). Multivariate analysis (using age and biomarker expression) revealed that bcl-2 expression is prognostic for improved OS (p = 0.005) and DSS (p = 0.021). CONCLUSIONS: Our results suggest that bcl-2 expression is prognostic for improved OS and DSS in NSCLC. Testing for bcl-2 expression in a prospective study will help to determine its clinical relevance in prognostication.
OBJECTIVE: We used a large patient population to identify immunohistochemical biomarkers to enable improved prognostication in patients with non-small cell lung carcinoma (NSCLC). METHODS: A tissue microarray was constructed using duplicate 0.6 mm cores of formalin-fixed paraffin-embedded tissue blocks from 609 patients with NSCLC. Immunohistochemical was used to detect 11 biomarkers including epidermal growth factor receptor, Her2, Her3, p53, p63, bcl-1, bcl-2, Thyroid transcription factor, carcinoembryonic antigen, chromogranin, and synaptophysin. A clinical database was generated prospectively at the time of tissue collection. Survival outcomes were obtained from a Provincial Cancer Registry database. Univariate and multivariate analyses were performed to look for a relationship between biomarker expression, smoking history, and survival. RESULTS: Survival data for 535 cases were available. As of June 2005, 429 patients (80%) had died; of these 286 (54%) died of lung cancer, 117 (22%) died of other known causes, and for 26 (5%) the cause of death was not available. Univariate analysis revealed that bcl-2 (p = 0.007) was the only biomarker prognostic for improved overall survival (OS). bcl-2 (p = 0.021) and p63 (p = 0.025) were both found to be prognostic for improved disease-specific survival (DSS). Multivariate analysis (using age and biomarker expression) revealed that bcl-2 expression is prognostic for improved OS (p = 0.005) and DSS (p = 0.021). CONCLUSIONS: Our results suggest that bcl-2 expression is prognostic for improved OS and DSS in NSCLC. Testing for bcl-2 expression in a prospective study will help to determine its clinical relevance in prognostication.
Authors: Valsamo K Anagnostou; Frank J Lowery; Vassiliki Zolota; Vassiliki Tzelepi; Arun Gopinath; Camil Liceaga; Nikolaos Panagopoulos; Konstantina Frangia; Lynn Tanoue; Daniel Boffa; Scott Gettinger; Frank Detterbeck; Robert J Homer; Dimitrios Dougenis; David L Rimm; Konstantinos N Syrigos Journal: BMC Cancer Date: 2010-05-09 Impact factor: 4.430
Authors: Lingaku Lee; Irene Ramos-Alvarez; Terry W Moody; Samuel A Mantey; Robert T Jensen Journal: Biochim Biophys Acta Mol Cell Res Date: 2019-12-17 Impact factor: 4.739
Authors: Cristiano Guttà; Arman Rahman; Claudia Aura; Peter Dynoodt; Emilie M Charles; Elodie Hirschenhahn; Jesuchristopher Joseph; Jasper Wouters; Ciaran de Chaumont; Mairin Rafferty; Madhuri Warren; Joost J van den Oord; William M Gallagher; Markus Rehm Journal: Cell Death Dis Date: 2020-02-13 Impact factor: 8.469