OBJECTIVES: To evaluate HER2neu and epidermal growth factor receptor (EGFR) expression with respect to overall survival and disease-free survival (DFS), and correlate expression with pretreatment factors. Comparative evaluations of manual and automated immunohistochemical imaging systems for HER2neu and EGFR expression were made. METHODS: Fifty-five patients with stages I-IVA carcinoma of the cervix were treated with definitive radiation therapy. Immunohistochemistry was performed for HER2neu and EGFR, and scored by both manual and automated methods. Univariate and multivariate analyses were performed with disease-free survival (DFS) and overall survival (OS) as primary endpoints, and biomarkers were evaluated for correlation between prognostic factors. RESULTS: Strong correlations in HER2neu and EGFR protein expression were observed between digitally and manually analyzed staining (P <== 0.0001). Increased FIGO stage and decreased HER2neu expression were significant for reduced DFS on univariate analysis (P <== 0.001 and P = 0.03, respectively). Increased FIGO stage, decreased HER2neu expression, and increased membranous staining of EGFR were significant for diminished OS on univariate analysis (P <== 0.0001, P = 0.002, and P = 0.043, respectively). Multivariate analysis revealed only increased membranous staining of EGFR associated with diminished DFS and OS (P = 0.046 and P = 0.012, respectively). Overexpression of HER2neu correlated significantly with adenocarcinoma, and overexpression of EGFR correlated significantly with squamous cell carcinoma histology (P = 0.038 and P = 0.035). Inverse correlations were observed between HER2neu expression and clinical stage, EGFR membranous staining, and EGFR distribution (P = 0.007, P = 0.006, and P = 0.034, respectively). CONCLUSIONS: Increased expression of HER2neu and decreased EGFR membranous staining identified patients with improved DFS and OS on univariate analysis, although only decreased EGFR membranous staining was significant on multivariate analysis. We also found strong correlation of results between manually and automated imaging methods.
OBJECTIVES: To evaluate HER2neu and epidermal growth factor receptor (EGFR) expression with respect to overall survival and disease-free survival (DFS), and correlate expression with pretreatment factors. Comparative evaluations of manual and automated immunohistochemical imaging systems for HER2neu and EGFR expression were made. METHODS: Fifty-five patients with stages I-IVA carcinoma of the cervix were treated with definitive radiation therapy. Immunohistochemistry was performed for HER2neu and EGFR, and scored by both manual and automated methods. Univariate and multivariate analyses were performed with disease-free survival (DFS) and overall survival (OS) as primary endpoints, and biomarkers were evaluated for correlation between prognostic factors. RESULTS: Strong correlations in HER2neu and EGFR protein expression were observed between digitally and manually analyzed staining (P <== 0.0001). Increased FIGO stage and decreased HER2neu expression were significant for reduced DFS on univariate analysis (P <== 0.001 and P = 0.03, respectively). Increased FIGO stage, decreased HER2neu expression, and increased membranous staining of EGFR were significant for diminished OS on univariate analysis (P <== 0.0001, P = 0.002, and P = 0.043, respectively). Multivariate analysis revealed only increased membranous staining of EGFR associated with diminished DFS and OS (P = 0.046 and P = 0.012, respectively). Overexpression of HER2neu correlated significantly with adenocarcinoma, and overexpression of EGFR correlated significantly with squamous cell carcinoma histology (P = 0.038 and P = 0.035). Inverse correlations were observed between HER2neu expression and clinical stage, EGFR membranous staining, and EGFR distribution (P = 0.007, P = 0.006, and P = 0.034, respectively). CONCLUSIONS: Increased expression of HER2neu and decreased EGFR membranous staining identified patients with improved DFS and OS on univariate analysis, although only decreased EGFR membranous staining was significant on multivariate analysis. We also found strong correlation of results between manually and automated imaging methods.
Authors: Timothy Su; M Kay Washington; Reid M Ness; Douglas K Rex; Walter E Smalley; Thomas M Ulbright; Qiuyin Cai; Wei Zheng; Martha J Shrubsole Journal: Mol Carcinog Date: 2016-08-11 Impact factor: 4.784
Authors: Elizabeth G Munro; Maneesh Jain; Esther Oliva; Neel Kamal; Subodh M Lele; Maureen P Lynch; Lankai Guo; Kai Fu; Poonam Sharma; Steve Remmenga; Whitfield B Growdon; John S Davis; Bo R Rueda; Surinder K Batra Journal: Int J Gynecol Pathol Date: 2009-03 Impact factor: 2.762
Authors: Jason M Foster; Uppala Radhakrishna; Venkatesh Govindarajan; Joseph H Carreau; Zoran Gatalica; Poonam Sharma; Swapan K Nath; Brian W Loggie Journal: World J Surg Oncol Date: 2010-10-13 Impact factor: 2.754
Authors: Mustapha Abubakar; William J Howat; Frances Daley; Lila Zabaglo; Leigh-Anne McDuffus; Fiona Blows; Penny Coulson; H Raza Ali; Javier Benitez; Roger Milne; Herman Brenner; Christa Stegmaier; Arto Mannermaa; Jenny Chang-Claude; Anja Rudolph; Peter Sinn; Fergus J Couch; Rob A E M Tollenaar; Peter Devilee; Jonine Figueroa; Mark E Sherman; Jolanta Lissowska; Stephen Hewitt; Diana Eccles; Maartje J Hooning; Antoinette Hollestelle; John Wm Martens; Carolien Hm van Deurzen; Manjeet K Bolla; Qin Wang; Michael Jones; Minouk Schoemaker; Annegien Broeks; Flora E van Leeuwen; Laura Van't Veer; Anthony J Swerdlow; Nick Orr; Mitch Dowsett; Douglas Easton; Marjanka K Schmidt; Paul D Pharoah; Montserrat Garcia-Closas Journal: J Pathol Clin Res Date: 2016-04-06