Nf1 deficiency modulates the stromal environment in the pretumorigenic rat mammary gland.

Background: Neurofibromin, coded by the NF1 tumor suppressor gene, is the main negative regulator of the RAS pathway and is frequently mutated in various cancers. Women with Neurofibromatosis Type I (NF1)-a tumor predisposition syndrome caused by a germline NF1 mutation-have an increased risk of developing aggressive breast cancer with poorer prognosis. The mechanism by which NF1 mutations lead to breast cancer tumorigenesis is not well understood. Therefore, the objective of this work was to identify stromal alterations before tumor formation that result in the increased risk and poorer outcome seen among NF1 patients with breast cancer. Approach: To accurately model the germline monoallelic NF1 mutations in NF1 patients, we utilized an Nf1-deficient rat model with accelerated mammary development before presenting with highly penetrant breast cancer. Results: We identified increased collagen content in Nf1-deficient rat mammary glands before tumor formation that correlated with age of tumor onset. Additionally, gene expression analysis revealed that Nf1-deficient mature adipocytes in the rat mammary gland have increased collagen expression and shifted to a fibroblast and preadipocyte expression profile. This alteration in lineage commitment was also observed with in vitro differentiation, however, flow cytometry analysis did not show a change in mammary adipose-derived mesenchymal stem cell abundance. Conclusion: Collectively, this study uncovered the previously undescribed role of Nf1 in mammary collagen deposition and regulating adipocyte differentiation. In addition to unraveling the mechanism of tumor formation, further investigation of adipocytes and collagen modifications in preneoplastic mammary glands will create a foundation for developing early detection strategies of breast cancer among NF1 patients.

Pericyte coverage of differentiated vessels inside tumor vasculature is an independent unfavorable prognostic factor for patients with clear cell renal cell carcinoma.

BACKGROUND: The objective of this study was to evaluate the effect of pericyte coverage (PC) of differentiated tumor microvessels on the prognosis of patients with clear cell renal cell carcinoma (CCRCC). METHODS: Samples from 2 cohorts of patients with CCRCC (101 Asian patients and 524 US patients) were prepared using 2 different histologic approaches: routine sectioning versus tissue microarray. Then, the samples were immunohistochemically doubled-stained for a pericyte marker (alpha smooth muscle actin [α-SMA]) and a differentiated vessel marker (cluster of differentiation 34 [CD34]), followed by multispectral image capturing and computerized image analyses to quantify the microvessel density (MVD) and the PC of differentiated vessels. The correlations of PC and the MVD:PC ratio with clinicopathologic characteristics were analyzed. RESULTS: There was an inverse correlation between differentiated MVD and PC. Higher PC correlated with more aggressive clinicopathologic characteristics of CCRCC in both cohorts, including more advanced T-classification, higher pathologic grades, and the occurrence of tumor necrosis. The MVD:PC ratio was an independent favorable prognostic factor for overall and recurrence-free survival in the Asian cohort and for recurrence-free survival in the US cohort. PC also was an independent prognostic factor, with higher PC predicting a poorer outcome. The combination of PC and MVD was better at distinguishing the outcome of patients with CCRCC. PC combined with differentiated MVD or with the MVD:PC ratio provided additional, independent prognostic information to the Leibovich risk model, and that information was used to generate improved risk models. CONCLUSIONS: The authors consistently observed that higher PC was correlated with more aggressive clinicopathologic characteristics. PC was an independent unfavorable prognostic factor. The authors concluded that pericytes should be considered for therapeutic targeting.

Impact of Preanalytical Factors on the Measurement of Tumor Tissue Biomarkers Using Immunohistochemistry.

Analysis of formalin-fixed paraffin-embedded (FFPE) tissue by immunohistochemistry (IHC) is commonplace in clinical and research laboratories. However, reports suggest that IHC results can be compromised by biospecimen preanalytical factors. The National Cancer Institute's Biospecimen Preanalytical Variables Program conducted a systematic study to examine the potential effects of delay to fixation (DTF) and time in fixative (TIF) on IHC using 24 cancer biomarkers. Differences in IHC staining, relative to controls with a DTF of 1 hr, were observed in FFPE kidney tumor specimens after a DTF of ≥2 hr. Reductions in H-score and/or staining intensity were observed for c-MET, p53, PAX2, PAX8, pAKT, and survivin, whereas increases were observed for RCC1, EGFR, and CD10. Prolonged TIF of 72 hr resulted in significantly reduced H-scores of CD44 and c-Met in kidney tumor specimens, compared with controls with 12-hr TIF. An elevated probability of altered staining intensity due to DTF was observed for nine antigens, whereas for prolonged TIF an elevated probability was observed for one antigen. Results reported here and elsewhere across tumor types and antigens support limiting DTF to ≤1 hr when possible and fixing tissues in formalin for 12-24 hr to avoid confounding effects of these preanalytical factors on IHC.

Predictive value of intratumoral microvascular density in patients with advanced non-small cell lung cancer receiving chemotherapy plus bevacizumab.

INTRODUCTION: The use of bevacizumab combined with chemotherapy represents a recent advance in clinical oncology for significantly improving the survival of patients who have non-small cell lung cancer (NSCLC). There is an unmet need for biomarkers that can predict response to such treatment and identify patients sensitive to it. Our study was designed to investigate the predictive value of intratumoral microvascular density (MVD) in patients with NSCLC treated with bevacizumab. METHODS: Sixteen patients with NSCLC who underwent chemotherapy combined with bevacizumab were included into this study. Paraffin-embedded tumor samples were sectioned and stained immunohistochemically for the blood vessel markers CD34 and CD31 to characterize the intratumoral vasculature. A computerized image analysis program was used to quantitatively calculate the intratumoral MVD. Treatment response was evaluated by computed tomography scanning. RESULTS: Two types of blood vessels, undifferentiated (CD31*/CD34*) and differentiated (CD34*), were identified. A positive correlation was found between the largest percentage of tumor shrinkage and the MVD of undifferentiated (CD31*/CD34*) vessels, with Spearman correlation coefficient being 0.576 (p = 0.019). No correlation between tumor shrinkage and differentiated vessel MVD (CD34*) was found. Moreover, seven of the eight patients with more undifferentiated vessels showed a partial response, versus only one of the seven patients with fewer undifferentiated vessels (p = 0.009). CONCLUSIONS: There are two major types of microvessel in lung cancer vasculature. The MVD of undifferentiated vessels is a favorable predictor for patients with NSCLC treated with a chemotherapy regimen plus bevacizumab, with a higher MVD value correlating with better treatment response. Further studies are needed to verify the predictive role of MVD in treatment of NSCLC with bevacizumab.

Combined gene expression profiling and RNAi screening in clear cell renal cell carcinoma identify PLK1 and other therapeutic kinase targets.

In recent years, several molecularly targeted therapies have been approved for clear cell renal cell carcinoma (ccRCC), a highly aggressive cancer. Although these therapies significantly extend overall survival, nearly all patients with advanced ccRCC eventually succumb to the disease. To identify other molecular targets, we profiled gene expression in 90 ccRCC patient specimens for which tumor grade information was available. Gene set enrichment analysis indicated that cell-cycle-related genes, in particular, Polo-like kinase 1 (PLK1), were associated with disease aggressiveness. We also carried out RNAi screening to identify kinases and phosphatases that when inhibited could prevent cell proliferation. As expected, RNAi-mediated knockdown of PLK1 and other cell-cycle kinases was sufficient to suppress ccRCC cell proliferation. The association of PLK1 in both disease aggression and in vitro growth prompted us to examine the effects of a small-molecule inhibitor of PLK1, BI 2536, in ccRCC cell lines. BI 2536 inhibited the proliferation of ccRCC cell lines at concentrations required to inhibit PLK1 kinase activity, and sustained inhibition of PLK1 by BI 2536 led to dramatic regression of ccRCC xenograft tumors in vivo. Taken together, these findings highlight PLK1 as a rational therapeutic target for ccRCC.