Anti-Cytokeratin-8 monoclonal antibody, clone SN377

Non-functioning pituitary adenomas (NFPAs) are usually macroadenomas and display invasion into surrounding tissues. The treatment for invasive NFPAs is still challenging. This study describes the differential patterns of gene expression between invasive and non-invasive NFPAs and identifies novel biomarkers involved in invasion of NFPAs for diagnosis and treatment. Using gene microarray technology, we examined the gene expression profile and found 1160 differentially expressed messenger RNA (mRNA) between invasive and non-invasive NFPAs. Then, we examined the protein profile by liquid chromatography tandem mass spectrometry (LC-MS/MS) and found 433 differentially expressed proteins between invasive and non-invasive NFPAs. Subsequently, we integrated the proteomics and transcriptomics datasets and identified 29 common changed molecules. Through bioinformatics analysis using Ingenuity Pathway Analysis (IPA) software, we showed that the 29 molecules were enriched in 25 canonical signaling pathways, 25 molecular and cellular functions, and 2 networks. Eight genes were identified involved in the invasion function by the molecular and cellular functions analysis, including CAT, CLU, CHGA, EZR, KRT8, LIMA1, SH3GLB2 and SLC2A1. Furthermore, we validated the decreased CHGA expression and increased CLU expression in invasive NFPAs by qRT-PCR and Western blot. Our study demonstrated that integration of proteomics and transcriptomics could prove advantageous for accelerating tumor biomarker discovery and CHGA and CLU might be important novel biomarkers and therapeutic targets for invasion of NFPAs.

Invasive ductal carcinomas of the breast (IDC) are routinely assessed on hematoxylin and eosin stained paraffin sections, with limited use of immunohistochemistry (IHC). Most IDC are regarded as a single diagnostic entity, IDC of no special type (IDC-NST), which is subdivided further only by grading. However, recent research suggests that there is high clinical relevance in differentiating IDC subtypes. Here, we ascertain whether tumor histology alone can predict basal or luminal cell phenotype in high-grade IDC-NST, and whether IHC and molecular characteristics are associated with the observed morphologies. A total of 29 grade 3 IDC-NST samples were studied, 10 tumors from a selected pilot cohort A and 19 tumors from an unselected validation cohort B. Along with histopathological assessment, the expression of ESR1, PLR, ER882 (HER-2), the basal/myoepithelial marker TP73L (p63), cytokeratins 5/6 (KRT5/6) and 14 (KRT14), and the luminal-specific cytokeratins 8/18 (KRT 8/18) and 19 (KRT19) was assessed by IHC. Hierarchical cluster analysis of clinicopathological variables and, separately, microarray expression profiles showed that the phenotypically distinctive basaloid and luminal tumors of cohort A fell into two main groups, defined by heterogeneous or uniformly positive expression of KRT8/18. The 38 genes differentially expressed between these two classes included ERBB2, KRT8, and six other genes previously associated with ERBB2-positive or luminal phenotypes. Tumor histology was not predictive for validation cohort B, but quantitative real-time polymerase chain reaction (qRT-PCR) analysis revealed two molecularly defined clusters that again aligned with the KRT8/18 staining phenotypes. Metaphase comparative genomic hybridization revealed 10q, 16q, and 20q copy-number imbalances that associated recurrently with KRT8/18 staining patterns. (c) 2007 Elsevier Inc. All rights reserved.