In this work, heterojunction of InSb/InP was grown by liquid phase epitaxy (LPE). Surface morphology and crystalline structure of the heterojunction were characterized by scanning electron microscopy (SEM) and X-ray diffraction (XRD). The frequency and temperature dependences of a.c. conductivity and dielectric properties of the heterojunctions were investigated in the ranges of 100 kHz-5 MHz and 298-628 K, respectively. The a.c. conductivity and its frequency exponents were interpreted in terms of correlated barrier hopping model (CBH), as the dominant conduction mechanism for charge carrier transport. The calculated activation energy, from the Arrhenius plot, was found to decrease with increasing frequency. Experimental results of both dielectric constant ε 1 and dielectric loss ε 2 showed a remarkable dependence of both frequency and temperature.
Introduction: Hepatocellular carcinoma HCC is resistant to many combination chemotherapy without any survival benefits. This mandates the search for biomarker that may predict the response and or prognosis in this dull disease. We conduct this study to evaluate the relation between Topoisomerase II alpha level in the liver tissue and response to therapy. Methods:The study included 50 unresectable HCC patients, who were diagnosed and treated in the NCI, Cairo University. The mean age was 54.5 years; 47of them were males and 3 females. Doxorubicin50 mg/ m2 every 3 weeks was given for 3 cycles and the response was evaluated according to Response Evaluation Criteria in Solid Tumors (RECIST). Results: Over expression of TopoIIα was fond in 19/50(38%) and was negative in 31/50 (62%). No CR was seen after treatment with doxorubicin, while PR was 8/50(16%), SD 21/50(42%) and PD 21/50 (42%). There was a significant correlation between TopoIIα and the response to the chemotherapy (P = 0.001) (Table1). The study showed significant correlation between TopoIIα and OS; 8months for over expression compared to 14 months in negative expression (figs1). Conclusion: Detection of Topoisomerase IIα level in liver tissue showed a significant correlation to both response to therapy and survival in 50 HCC patients. TopoIIα is a promising prognostic and predictive factor that may reflect an aggressive behavior as seen with less survival in positive group but it represents a good response to therapy. With further studies in the near future Topoisomerase II alpha together with others factors as tumor size, pathological grade may help for more personalized therapy in f HCC.
Background Breast cancer stem cells (BCSCs) have a crucial role in breast carcinogenesis, development, and progression. The aim of the current study is to characterize the BCSCs through the genetic profiling of different BCSCs phenotypic subsets to determine their related genetic pathways. Methods Fresh tumor tissue samples were obtained from 31 breast cancer (BC) patients for (1) Mammosphere culture. (2) Magnetic separation of the BCSCs subsets using CD24, CD44, and CD326 Microbeads. (3) Flow cytometry (FCM) assay using CD44, CD24, and EpCAM. (4) RT-PCR profiler Arrays using stem cell (SC) panel of 84 genes for four group of cells (1) CD44+/CD24−/EpCAM− BCSCs, (2) CD44+/CD24− /EpCAM+ BCSCs, (3) mammospheres, and (4) normal breast tissues. Results The BCSCs (CD44+/CD24−/EpCAM−) showed significant downregulation in 13 genes and upregulation in 15, where the CD44, GJB1 and GDF3 showed the maximal expression (P = 0.001, P = 0.003 and P = 0.007); respectively). The CD44+/CD24−/EpCAM+ BCSCs showed significant upregulation in 28 genes, where the CD44, GDF3, and GJB1 showed maximal expression (P < 0.001, P = 0.001 and P = 0.003; respectively). The mammospheres showed significant downregulation in 9 genes and a significant upregulation in 35 genes. The maximal overexpression was observed in GJB1 and FGF2 (P = 0.001, P = 0.001; respectively). The genes which achieved significant overexpression in all SC subsets were CD44, COL9A1, FGF1, FGF2, GDF3, GJA1, GJB1, GJB2, HSPA9, and KRT15. While significant downregulation in BMP2, BMP3, EP300, and KAT8. The genes which were differentially expressed by the mammospheres compared to the other BCSC subsets were CCND2, FGF3, CD4, WNT1, KAT2A, NUMB, ACAN, COL2A1, TUBB3, ASCL2, FOXA2, ISL1, DTX1, and DVL1. Conclusion BCSCs have specific molecular profiles that differ according to their phenotypes which could affect patients’ prognosis and outcome.
Background: Stem cells (SC) are cells that can differentiate along distinct lineages through systemic differentiation steps. The concept of self renewal is crucial to understand cancer stem cells (CSC) and the mechanisms by which current therapies might evade the available treatment modalities. The aim of the present study was to characterize breast cancer stem cells (BCSC) by genetic profiling of properly isolated BCSCs at different stages using the recently developed quantitative real time microarray technology to understand the origin and contribution BCSCs to breast cancer development and progression. Material and Methods: 60 cases of BC were subjected to enzymatic digestion to obtain single cell suspension for: 1) flowcytometric characterization of cells, 2) mammosphere culture 3) magnetic separation of different subsets of BCSCs (CD44 and CD24), and 4) RNA extraction for RT-PCR and microarray using the SABiosciences's QC PCR profiler Arrays with SC panel of 84 genes (SC specific markers, SC differentiation markers, and signaling pathway markers for SC). Samples for the QC PCR profiler Arrays were categorized into groups: 1) normal breast tissue, 2) BC cells obtained from tumor samples, 3) cells from mammosphere cultures, 4)CD44+/CD24low/EpCAM- cells, 5) CD44+/ CD24low cells. ER, PR and Her-2 assessment was also performed. Results: Discrete mammospheres of different sizes were obtained from 10 cases and IHC of these samples confirmed the SC lineage. By FCM, cells expressing CD44+/CD24low ranged from 0.1% - 79%. MYC, MYST2, DHH, BTRC AND CXCL12 genes showed over-expression in the studied groups in comparison to normal breast tissue. Comparing all studied groups, we identified 5 candidate genes DVL1 and EP300 (Notch pathway), BTRC (Wnt Pathway), DHH (Chro-Chro Modulation), MYST2 (self Renewal), NCAM1 (Cell Adhesion Molecules) which could be used for characterization and molecular target therapy for breast cancerl. Conclusions: Our QC PCR profiler Arrays showed significant differences between the studied groups shedding light on the nature and helping in proper characterization of BCSCs. Correlation between prognostic factors of BC and the number of BCSCs in tumor biopsies together with the probability of mammoshpere formation in culture denotes the contribution of CSCS to the progression of BC. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5353. doi:1538-7445.AM2012-5353
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