Postprandial blood glucose level in maintenance hemodialysis patients predicts post-transplant-diabetes-mellitus

Post-transplant-diabetes-mellitus (PTDM) is a frequent complication after kidney transplantation. One-hundred-and-seven patients with kidney transplantation were screened for the occurrence of PTDM. Of these, full data sets from 49 subjects were available with documented glucose concentrations during maintenance hemodialysis (MHD) and regular clinical follow-up of 7-34 months. For assessment of glucose metabolism the response to a standard meal during MHD was used in normoglycemic patients based on fasting blood glucose. Abnormal postprandial blood glucose concentration was defined as >140 mg/dl 2 h after food intake.Twelve end stage renal disease patients had abnormal postprandial blood glucose on MHD. All 12 subjects but also four MHD patients with normal postprandial and fasting blood glucose values developed PTDM. Multivariate Cox-regression analysis revealed that abnormal postprandial blood glucose is a strong predictor for PTDM (Hazard ratio: 42.3 (IQR: 7.9-227.2); p<0.001). Fasting blood glucose (94 vs. 100 mg/dl) was not different between MHD patients who did (n=16) or did not (n=33) develop PTDM.This study suggests that measurement of postprandial blood glucose during MHD identifies patients who develop PTDM after kidney transplantation. It should be used for screening of patients at risk.

Heterogeneity of gene expression in stromal fibroblasts of human breast carcinomas and normal breast

Breast carcinoma invasion is associated with prominent alterations in stromal fibroblasts. Carcinoma-associated fibroblasts (CAF) support and promote tumorigenesis, whereas normal mammary fibroblasts (NF) are thought to suppress tumor progression. Little is known about the difference in gene expression between CAF and NF or the patient-to-patient variability in gene expression. Paired CAF and NF were isolated from six primary human breast carcinoma specimens. RNA was extracted from low-passage cultures of CAF and NF and analyzed with Affymetrix Human Genome U133 Plus 2.0 arrays. The array data were examined with an empirical Bayes model and filtered according to the posterior probability of equivalent expression and fold difference in expression. Twenty-one genes (27 probe sets) were up-regulated in CAF, as compared to NF. Known functions of these genes relate to paracrine or intracellular signaling, transcriptional regulation, extracellular matrix and cell adhesion/migration. Ten genes (14 probe sets) were down-regulated in CAF, including the pluripotency transcription factor KLF4. Quantitative RT-PCR analysis of 10 genes validated the array results. Immunohistochemical staining for three gene products confirmed stromal expression in terms of location and relative quantity. Surprisingly, the variability of gene expression was slightly higher in NF than in CAF, suggesting inter-individual heterogeneity of normal stroma.

Heterogeneity of gene expression in stromal fibroblasts of breast carcinomas and normal breast

Abstract #105

Background: The cancer microenvironment plays a critical role in tumor development and progression. Cancer associated fibroblasts (CAF) constitute a significant component of the tumor stroma and participate in reciprocal communication with the tumor cells. Information on differential gene expression specifically in stromal fibroblasts is sparse and data describing the variability of gene expression in CAF and normal fibroblasts (NF) is currently lacking. The purpose of this study was to identify genes differentially expressed in CAF and matched NF and to analyze the heterogeneity of gene expression profiles in the two cell types.&#x2028; Materials and methods: Fibroblast cell cultures were established from 6 patients with primary invasive breast cancer. Gene expression profiles were generated using oligonucleotide microarrays (Affymetrix HG-U133 Plus 2.0). Differentially expressed genes were ranked using Empirical Bayes modeling. A cut-off value of 0.005 was chosen for the posterior probability of equivalent expression. Lists of overexpressed genes were generated after eliminating genes with less than two-fold overexpression.&#x2028; Results: 17 genes were overexpressed in CAF compared to NF with known functions in paracrine and intracellular signaling, transcription regulation and extracellular matrix production. Using the same posterior probability cut-off, we identified 7 genes which were expressed at least two-fold higher in NF than in CAF. These genes have purported roles in steroid hormone metabolism, transcription, migration and cell signaling. Using semiquantitative RT-PCR and immunohistochemistry, we confirmed the over- and underexpression of a subset of 10 differentially expressed genes. The heterogeneity of gene expression in CAF vs. NF was compared with F-tests to determine variances. The estimated probability of NF gene expression variance being higher than CAF gene expression variance was 0.547 with a 95% confidence interval of 0.543 to 0.551 (p&lt;0.0001), indicating that gene expression is more variable in NF than in CAF. By ranking the q-values of individual genes we identified 3 known genes, which show a significant difference in variance between CAF and NF (p&lt;0.05).&#x2028; Conclusion: Altered gene expression in fibroblasts likely contributes to tumor growth and progression by enhancing ECM production, promoting stromal-epithelial paracrine signaling and altering steroid hormone metabolism. The inter-individual heterogeneity of gene expression in NF may indicate that the mammary stroma varies between individuals, supporting the hypothesis that the ability of the stroma to act as a barrier to cancer development and tumor progression may also be variable. Conversely, the heterogeneous gene expression in NF may be a reflection of a relative synchronization and uniformity of gene expression in CAF.

Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 105.