A 73-gene proliferative transcriptomic signature predicts uterine serous carcinoma patient survival and response to primary therapy.

OBJECTIVES: To develop a transcriptomic signature capable of predicting overall survival (OS) for uterine serous carcinoma (USC). METHODS: RNAseq data for 58 USC patients were obtained from TCGA. Expression of 73 candidate genes was measured for 67 Augusta University (AU) samples using NanoString technology. RESULTS: Analysis of the TCGA RNAseq data identified 73 genes that individually predict prognosis for USC patients and an elastic net model with all 73 genes (USC73) distinguishes a good OS group with low USC73 score from a poor OS group with high USC73 score (5-year OS = 83.3% and 13.3% respectively, HR = 40.1; p = 3 × 10-8). This finding was validated in the independent AU cohort (HR = 4.3; p = 0.0004). The poor prognosis group with high USC73 score consists of 37.9% and 32.8% of patients in the TCGA and AU cohort respectively. USC73 score and pathologic stage independently contribute to OS and together provide the best prognostic value. Early stage, low USC73 patients have the best prognosis (5-year OS = 85.1% in the combined dataset), while advanced stage, high USC73 patients have the worst prognosis (5-year OS = 6.4%, HR = 30.5, p = 1.2 × 10-12). Consistent with the observed poor survival, primary cell cultures from high USC73 patients had higher proliferation rate and cell cycle progression; and high USC73 patients had lower rates of complete response to standard therapy. CONCLUSIONS: The USC73 transcriptomic signature and stage independently predict OS of USC patients and the best prediction is achieved using USC73 and stage. USC73 may also serve as a therapeutic biomarker to guide patient care.

Delineating the angiogenic gene expression profile before pulmonary vascular remodeling in a lamb model of congenital heart disease.

Disordered angiogenesis is implicated in pulmonary vascular remodeling secondary to congenital heart diseases (CHD). However, the underlying genes are not well delineated. We showed previously that an ovine model of CHD with increased pulmonary blood flow (PBF, Shunt) has an "angiogenesis burst" between 1 and 4 wk of age. Thus we hypothesized that the increased PBF elicited a proangiogenic gene expression profile before onset of vessel growth. To test this we utilized microarray analysis to identify genes that could be responsible for the angiogenic response. Total RNA was isolated from lungs of Shunt and control lambs at 3 days of age and hybridized to Affymetrix gene chips for microarray analyses (n = 8/group). Eighty-nine angiogenesis-related genes were found to be upregulated and 26 angiogenesis-related genes downregulated in Shunt compared with control lungs (cutting at 1.2-fold difference, P < 0.05). We then confirmed upregulation of proangiogenic genes FGF2, Angiopoietin2 (Angpt2), and Birc5 at mRNA and protein levels and upregulation of ccl2 at mRNA level in 3-day Shunt lungs. Furthermore, we found that pulmonary arterial endothelial cells (PAEC) isolated from fetal lambs exhibited increased expression of FGF2, Angpt2, Birc5, and ccl2 and enhanced angiogenesis when exposed to elevated shear stress (35 dyn/cm²) compared with cells exposed to more physiological shear stress (20 dyn/cm²). Finally, we demonstrated that blocking FGF2, Angpt2, Birc5, or ccl2 signaling with neutralizing antibodies or small interfering RNA (siRNA) significantly decreased the angiogenic response induced by shear stress. In conclusion, we have identified a "proangiogenic" gene expression profile in a lamb model of CHD with increased PBF that precedes onset of pulmonary vascular remodeling. Our data indicate that FGF2, Angpt2, Birc5, and ccl2 may play important roles in the angiogenic response.

Retrospective Validation of a 168-Gene Expression Signature for Glioma Classification on a Single Molecule Counting Platform.

Gene expression profiling has been shown to be comparable to other molecular methods for glioma classification. We sought to validate a gene-expression based glioma classification method. Formalin-fixed paraffin embedded tissue and flash frozen tissue collected at the Augusta University (AU) Pathology Department between 2000-2019 were identified and 2 mm cores were taken. The RNA was extracted from these cores after deparaffinization and bead homogenization. One hundred sixty-eight genes were evaluated in the RNA samples on the nCounter instrument. Forty-eight gliomas were classified using a supervised learning algorithm trained by using data from The Cancer Genome Atlas. An ensemble of 1000 linear support vector models classified 30 glioma samples into TP1 with classification confidence of 0.99. Glioma patients in TP1 group have a poorer survival (HR (95% CI) = 4.5 (1.3-15.4), p = 0.005) with median survival time of 12.1 months, compared to non-TP1 groups. Network analysis revealed that cell cycle genes play an important role in distinguishing TP1 from non-TP1 cases and that these genes may play an important role in glioma survival. This could be a good clinical pipeline for molecular classification of gliomas.

Comparative analysis of transcriptomic profile, histology, and IDH mutation for classification of gliomas.

Gliomas are currently classified through integration of histology and mutation information, with new developments in DNA methylation classification. However, discrepancies exist amongst the major classification methods. This study sought to compare transcriptome-based classification to the established methods. RNAseq and microarray data were obtained for 1032 gliomas from the TCGA and 395 gliomas from REMBRANDT. Data were analyzed using unsupervised and supervised learning and other statistical methods. Global transcriptomic profiles defined four transcriptomic glioma subgroups with 91.4% concordance with the WHO-defined mutation subtypes. Using these subgroups, 168 genes were selected for the development of 1000 linear support vector classifiers (LSVC). Based on plurality voting of 1000 LSVC, the final ensemble classifier confidently classified all but 17 TCGA gliomas to one of the four transcriptomic profile (TP) groups. The classifier was validated using a gene expression microarray dataset. TP1 cases include IDHwt, glioblastoma high immune infiltration and cellular proliferation and poor survival prognosis. TP2a is characterized as IDHmut-codel, oligodendrogliomas with high tumor purity. TP2b tissue is mostly composed of neurons and few infiltrating malignant cells. TP3 exhibit increased NOTCH signaling, are astrocytoma and IDHmut-non-codel. TP groups are highly concordant with both WHO integrated histology and mutation classification as well as methylation-based classification of gliomas. Transcriptomic profiling provides a robust and objective method to classify gliomas with high agreement to the current WHO guidelines and may provide additional survival prediction to the current methods.

Effect of PPARgamma inhibition on pulmonary endothelial cell gene expression: gene profiling in pulmonary hypertension.

Peroxisome proliferator-activated receptor type gamma (PPARgamma) is a subgroup of the PPAR transcription factor family. Recent studies indicate that loss of PPARgamma is associated with the development of pulmonary hypertension (PH). We hypothesized that the endothelial dysfunction associated with PPARgamma inhibition may play an important role in the disease process by altering cellular gene expression and signaling cascades. We utilized microarray analysis to determine if PPARgamma inhibition induced changes in gene expression in pulmonary arterial endothelial cells (PAEC). We identified 100 genes and expressed sequence tags (ESTs) that were upregulated by >1.5-fold and 21 genes and ESTs that were downregulated by >1.3-fold (P < 0.05) by PPARgamma inhibition. The upregulated genes can be broadly classified into four functional groups: cell cycle, angiogenesis, ubiquitin system, and zinc finger proteins. The genes with the highest fold change in expression: hyaluronan-mediated motility receptor (HMMR), VEGF receptor 2 (Flk-1), endothelial PAS domain protein 1 (EPAS1), basic fibroblast growth factor (FGF-2), and caveolin-1 in PAEC were validated by real time RT-PCR. We further validated the upregulation of HMMR, Flk-1, FGF2, and caveolin-1 by Western blot analysis. In keeping with the microarray results, PPARgamma inhibition led to re-entry of cell cycle at G(1)/S phase and cyclin C upregulation. PPARgamma inhibition also exacerbated VEGF-induced endothelial barrier disruption. Finally we confirmed the downregulation of PPARgamma and the upregulation of HMMR, Flk-1, FGF2, and Cav-1 proteins in the peripheral lung tissues of an ovine model of PH. In conclusion, we have identified an array of endothelial genes modulated by attenuated PPARgamma signaling that may play important roles in the development of PH.

DNA microarray analysis of the uninoculated eye following anterior chamber inoculation of HSV-1.

PURPOSE: To use DNA microarray to analyze the expression patterns of genes in the uninoculated eye following uniocular anterior chamber inoculation of HSV-1. METHODS: On Day 9 following inoculation of 2 x 10( 4) PFU of HSV-1 (KOS strain) or an equivalent volume of tissue culture medium into one anterior chamber of BALB/c mice, the uninoculated eyes were enucleated, pooled, and total RNA was isolated. cDNA was synthesized from the total RNA. The gene expression patterns were inferred based on the hybridization intensities of the probes on the cDNA array. The hybridization signals were globally normalized and filtered. The data were analyzed using hierarchical and gene tree clustering algorithms. Additional uninoculated eyes collected on Day 9 p.i. were stained for F4/80 and CD19. RESULTS: Compared with the uninoculated eye of control mice, 3800 genes were upregulated at least twofold in the contralateral eye of HSV-1-infected mice. Among the 10 most upregulated genes, T cell-specific protein, MHC II antigen A, and MHC II k region locus 2 were upregulated 179-, 164-, and 162-fold, respectively. Ten T-cell receptor-related genes, 61 cytokine and chemokine genes, and 16 MHC genes were upregulated. Furthermore, 11 immunoglobulin and B cell genes and 11 macrophage-related genes were also upregulated. F4/80+ and CD19+ cells were observed on Day 9 p.i. CONCLUSIONS: The DNA microarray results support the idea that T cells and immunomodulatory factors (cytokines, chemokines) are likely to be involved in HSV-1 retinitis. These results also suggest that B cells and/or macrophages play a role in the pathogenesis of HSV-1 retinitis.

Role of acetylation and extracellular location of heat shock protein 90alpha in tumor cell invasion.

Heat shock protein (hsp) 90 is an ATP-dependent molecular chaperone that maintains the active conformation of client oncoproteins in cancer cells. An isoform, hsp90alpha, promotes extracellular maturation of matrix metalloproteinase (MMP)-2, involved in tumor invasion and metastasis. Knockdown of histone deacetylase (HDAC) 6, which deacetylates lysine residues in hsp90, induces reversible hyperacetylation and attenuates ATP binding and chaperone function of hsp90. Here, using mass spectrometry, we identified seven lysine residues in hsp90alpha that are hyperacetylated after treatment of eukaryotic cells with a pan-HDAC inhibitor that also inhibits HDAC6. Depending on the specific lysine residue in the middle domain involved, although acetylation affects ATP, cochaperone, and client protein binding to hsp90alpha, acetylation of all seven lysines increased the binding of hsp90alpha to 17-allyl-amino-demethoxy geldanamycin. Notably, after treatment with the pan-HDAC inhibitor panobinostat (LBH589), the extracellular hsp90alpha was hyperacetylated and it bound to MMP-2, which was associated with increased in vitro tumor cell invasiveness. Treatment with antiacetylated hsp90alpha antibody inhibited in vitro invasion by tumor cells. Thus, reversible hyperacetylation modulates the intracellular and extracellular chaperone function of hsp90, and targeting extracellular hyperacetylated hsp90alpha may undermine tumor invasion and metastasis.