PURPOSE: HER2 may be a relevant biomarker in Barrett's cancer. We compared three HER2 laboratory methods, standard fluorescence in situ hybridization (FISH), image-based three-dimensional FISH in thick (16 microm) sections, and immunohistochemistry, to predict patient outcome. EXPERIMENTAL DESIGN: Tissue microarray sections from 124 Barrett's cancer patients were analyzed by standard FISH on thin (4 microm) sections and by image-based three-dimensional FISH on thick (16 microm) sections for HER2 and chromosome-17, as well for p185(HER2) by immunohistochemistry. Correlations with clinical and follow-up data were examined. RESULTS: Only three-dimensional FISH on thick (16 microm) sections revealed HER2 gene copy gain to be associated with increased disease-specific mortality (relative risk, 2.1; 95% confidence interval, 1.06-4.26; P = 0.033). In contrast, standard FISH on thin (4 microm) sections and immunohistochemistry failed to predict clinical outcome. Low-level gain of HER2 occurred frequently in Barrett's cancer (>or=2.5-4.0 HER2 copies, 59.7%; HER2-to-chromosome-17 ratio, >or=1.1-2.0; 61.2%) and defined a subpopulation for patient outcome as unfavorable as HER2 gene amplification [disease-free survival, P = 0.017 (HER2 copies)]. This low-level group was neither definable by standard FISH nor immunohistochemistry. No prognostic significance was found for chromosome-17 aneusomy. CONCLUSIONS: Low-level copy gains of HER2 define a biologically distinct subpopulation of Barrett's cancer patients. Importantly, these subtle copy number changes are not reliably detected by standard FISH in thin (4 microm) tissue sections, highlighting a thus far unrecognized weakness in HER2 FISH testing. These results should be taken into account for accurate evaluation of biomarkers by FISH and for HER2 FISH testing in tissue sections.
PURPOSE:HER2 may be a relevant biomarker in Barrett's cancer. We compared three HER2 laboratory methods, standard fluorescence in situ hybridization (FISH), image-based three-dimensional FISH in thick (16 microm) sections, and immunohistochemistry, to predict patient outcome. EXPERIMENTAL DESIGN: Tissue microarray sections from 124 Barrett's cancerpatients were analyzed by standard FISH on thin (4 microm) sections and by image-based three-dimensional FISH on thick (16 microm) sections for HER2 and chromosome-17, as well for p185(HER2) by immunohistochemistry. Correlations with clinical and follow-up data were examined. RESULTS: Only three-dimensional FISH on thick (16 microm) sections revealed HER2 gene copy gain to be associated with increased disease-specific mortality (relative risk, 2.1; 95% confidence interval, 1.06-4.26; P = 0.033). In contrast, standard FISH on thin (4 microm) sections and immunohistochemistry failed to predict clinical outcome. Low-level gain of HER2 occurred frequently in Barrett's cancer (>or=2.5-4.0 HER2 copies, 59.7%; HER2-to-chromosome-17 ratio, >or=1.1-2.0; 61.2%) and defined a subpopulation for patient outcome as unfavorable as HER2 gene amplification [disease-free survival, P = 0.017 (HER2 copies)]. This low-level group was neither definable by standard FISH nor immunohistochemistry. No prognostic significance was found for chromosome-17 aneusomy. CONCLUSIONS: Low-level copy gains of HER2 define a biologically distinct subpopulation of Barrett's cancerpatients. Importantly, these subtle copy number changes are not reliably detected by standard FISH in thin (4 microm) tissue sections, highlighting a thus far unrecognized weakness in HER2 FISH testing. These results should be taken into account for accurate evaluation of biomarkers by FISH and for HER2 FISH testing in tissue sections.
Authors: Oana M Radu; Tyler Foxwell; Kathleen Cieply; Sarah Navina; Sanja Dacic; Katie S Nason; Jon M Davison Journal: Am J Clin Pathol Date: 2012-04 Impact factor: 2.493
Authors: Masanori Murakami; Yara Rhayem; Thomas Kunzke; Na Sun; Annette Feuchtinger; Philippe Ludwig; Tim Matthias Strom; Celso Gomez-Sanchez; Thomas Knösel; Thomas Kirchner; Tracy Ann Williams; Martin Reincke; Axel Karl Walch; Felix Beuschlein Journal: JCI Insight Date: 2019-09-05
Authors: Jeffrey S Larson; Laurie J Goodman; Yuping Tan; Lisa Defazio-Eli; Agnes C Paquet; Jennifer W Cook; Amber Rivera; Kristi Frankson; Jolly Bose; Lili Chen; Judy Cheung; Yining Shi; Sarah Irwin; Linda D B Kiss; Weidong Huang; Shannon Utter; Thomas Sherwood; Michael Bates; Jodi Weidler; Gordon Parry; John Winslow; Christos J Petropoulos; Jeannette M Whitcomb Journal: Patholog Res Int Date: 2010-06-28