title: A validation study of quantum dot multispectral imaging to evaluate hormone receptor status in ductal carcinoma in situ of the breast.
abstract: The assessment of hormone receptors, including estrogen receptor and progesterone receptor, has become a standard practice in breast cancer management. However, the need for multiple sections to evaluate each receptor individually by conventional immunohistochemistry may preclude the analysis on some core biopsies with a limited amount of tumors. The aim of the study was to validate the quantitative analysis of nuclear markers estrogen receptor and progesterone receptor by quantum dot-based immunohistochemistry using a multispectral imaging system in ductal carcinoma in situ of the breast. Consecutive sections from a total of 17 cases of ductal carcinoma in situ with excisional biopsies or mastectomies were stained with conventional immunohistochemistry and quantum dot-based, single- and double-labeled immunohistochemistry for estrogen receptor and progesterone receptor. The semiquantitative results from double-labeled, quantum dot-based immunohistochemistry were compared with those from single-labeled, quantum dot-based immunohistochemistry as well as from conventional immunohistochemistry. There was good concordance between double- and single-labeled quantum dot-based immunohistochemistry, and quantum dot-based immunohistochemistry correlated well with conventional immunohistochemistry (Spearman correlation coefficient range from 0.884 to 0.958, P < .001). The findings proved the validity and accuracy of quantum dot-based multiplex, multispectral technique in detecting 2 tumor markers in the same cellular compartment simultaneously on a single slide. This technique may enhance our ability to assess multiple breast tumor markers in specimens with limited available tissue. However, several technical and logistic issues await significant improvement before this novel technique can be justified for routine clinical application.
authors.affiliation: Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA. yuj@upmc.edu
authors.forename: Jing
authors.initials: J
authors.lastname: Yu
authors.forename: Sara E
authors.initials: SE
authors.lastname: Monaco
authors.forename: Agnieszka
authors.initials: A
authors.lastname: Onisko
authors.forename: Rohit
authors.initials: R
authors.lastname: Bhargava
authors.forename: David J
authors.initials: DJ
authors.lastname: Dabbs
authors.forename: Kathleen M
authors.initials: KM
authors.lastname: Cieply
authors.forename: Jeffrey L
authors.initials: JL
authors.lastname: Fine
mesh_terms: D014408:Biomarkers, Tumor / Q000378:metabolism*; D001943:Breast Neoplasms / Q000473:pathology* / Q000601:surgery; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000473:pathology* / Q000601:surgery; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007150:Immunohistochemistry / Q000379:methods; D008408:Mastectomy; D016612:Paraffin Embedding; D011379:Prognosis; D045663:Quantum Dots; D011960:Receptors, Estrogen / Q000378:metabolism*; D011980:Receptors, Progesterone / Q000378:metabolism*; D018709:Statistics, Nonparametric
chemical_list: D014408:Biomarkers, Tumor; D011960:Receptors, Estrogen; D011980:Receptors, Progesterone