A risk-associated Active transcriptome phenotype expressed by histologically normal human breast tissue and linked to a pro-tumorigenic adipocyte population.

BACKGROUND: Previous studies have identified and validated a risk-associated Active transcriptome phenotype commonly expressed in the cancer-adjacent and histologically normal epithelium, stroma, and adipose containing peritumor microenvironment of clinically established invasive breast cancers, conferring a 2.5- to 3-fold later risk of dying from recurrent breast cancer. Expression of this Active transcriptome phenotype has not yet been evaluated in normal breast tissue samples unassociated with any benign or malignant lesions; however, it has been associated with increased peritumor adipocyte composition. METHODS: Detailed histologic and transcriptomic (RNAseq) analyses were performed on normal breast biopsy samples from 151 healthy, parous, non-obese (mean BMI = 29.60 ± 7.92) women, ages 27-66 who donated core breast biopsy samples to the Komen Tissue Bank, and whose average breast cancer risk estimate (Gail score) at the time of biopsy (1.27 ± 1.34) would not qualify them for endocrine prevention therapy. RESULTS: Full genome RNA sequencing (RNAseq) identified 52% (78/151) of these normal breast samples as expressing the Active breast phenotype. While Active signature genes were found to be most variably expressed in mammary adipocytes, donors with the Active phenotype had no difference in BMI but significantly higher Gail scores (1.46 vs. 1.18; p = 0.007). Active breast samples possessed 1.6-fold more (~ 80%) adipocyte nuclei, larger cross-sectional adipocyte areas (p < 0.01), and 0.5-fold fewer stromal and epithelial cell nuclei (p < 1e-6). Infrequent low-level expression of cancer gene hotspot mutations was detected but not enriched in the Active breast samples. Active samples were enriched in gene sets associated with adipogenesis and fat metabolism (FDR q ≤ 10%), higher signature scores for cAMP-dependent lipolysis known to drive breast cancer progression, white adipose tissue browning (Wilcoxon p < 0.01), and genes associated with adipocyte activation (leptin, adiponectin) and remodeling (CAV1, BNIP3), adipokine growth factors (IGF-1, FGF2), and pro-inflammatory fat signaling (IKBKG, CCL13). CONCLUSIONS: The risk-associated Active transcriptome phenotype first identified in cancer-adjacent breast tissues also occurs commonly in healthy women without breast disease who do not qualify for breast cancer chemoprevention, and independently of breast expressed cancer-associated mutations. The risk-associated Active phenotype appears driven by a pro-tumorigenic adipocyte microenvironment that can predate breast cancer development.

Data-Independent Acquisition Mass Spectrometry To Quantify Protein Levels in FFPE Tumor Biopsies for Molecular Diagnostics.

Mass spectrometry-based protein quantitation is currently used to measure therapeutically relevant protein biomarkers in CAP/CLIA setting to predict likely responses of known therapies. Selected reaction monitoring (SRM) is the method of choice due to its outstanding analytical performance. However, data-independent acquisition (DIA) is now emerging as a proteome-scale clinical assay. We evaluated the ability of DIA to profile the patient-specific proteomes of sample-limited tumor biopsies and to quantify proteins of interest in a targeted fashion using formalin-fixed, paraffin-embedded (FFPE) tumor biopsies ( n = 12) selected from our clinical laboratory. DIA analysis on the tumor biopsies provided 3713 quantifiable proteins including actionable biomarkers currently in clinical use, successfully separated two gastric cancers from colorectal cancer specimen solely on the basis of global proteomic profiles, and identified subtype-specific proteins with prognostic or diagnostic value. We demonstrate the potential use of DIA-based quantitation to inform therapeutic decision-making using TUBB3, for which clinical cutoff expression levels have been established by SRM. Comparative analysis of DIA-based proteomic profiles and mRNA expression levels found positively and negatively correlated protein-gene pairs, a finding consistent with previously reported results from fresh-frozen tumor tissues.

Polyoma virus-associated carcinomas of the urologic tract: a clinicopathologic and molecular study.

In recent years, there has been increased interest in carcinomas of the urologic tract, that demonstrate association with the polyoma virus BK arising in immunosuppressed individuals, though the nature of this association is uncertain. To begin to understand this phenomenon, we reviewed the clinical, morphological, and immunohistochemical features of 11 carcinomas of the urologic tract, mainly urothelial (N = 9) and collecting duct carcinomas (N = 2), occurring during immunosuppression, and expressing polyoma virus T-antigen by immunohistochemistry. These were compared to a control group of carcinomas (N = 8), also arising during immunosuppression, but without T-antigen expression. A subset of both groups were also studied by hybrid capture-based DNA sequencing, probing not only for 479 cancer-related human genes, but also for polyoma and other viral sequences. Polyoma T-antigen-expressing tumors arose in 7 males and 4 females, at a median age of 66, and were aggressive, high-grade tumors with more than 1 variant morphologic pattern identified in 81% of cases, and a majority (73%) presenting at high stage category (>pT3). Diffuse polyoma T-antigen staining was seen in 91% of cases, with co-localization of aberrant p53 staining in 89%. Sequencing detected a lower number of deleterious mutations among T-antigen-expressing cases (average 1.62; 1/8 with TP53 mutation) compared to control cases (average 3.5, 2/4 with TP53 mutation). Only BK virus was detected with clonal integration and breakpoints randomly distributed across the human and viral genomes in 5/5 of the polyoma T-antigen-expressing carcinomas, and in none of the controls (0/4). In summary, these findings identify aggressive clinicopathologic features of polyoma T-antigen-expressing carcinomas, document BK as the strain involved, and associate BK viral integration with T-antigen expression and p53 aberrancy. While the apparent randomness of viral insertion sites is functionally unclear, the differing rates of mutations between T-antigen-expressing and control cases is intriguing.