543 research outputs found

    The neuroendocrine impact of chronic stress on cancer

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    Metallic monoclinic phase in VO2_2 induced by electrochemical gating: in-situ Raman study

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    We report in-situ Raman scattering studies of electrochemically top gated VO2_2 thin film to address metal-insulator transition (MIT) under gating. The room temperature monoclinic insulating phase goes to metallic state at a gate voltage of 2.6 V. However, the number of Raman modes do not change with electrolyte gating showing that the metallic phase is still monoclinic. The high frequency Raman mode Ag_g(7) near 616 cm1^{-1} ascribed to V-O vibration of bond length 2.06 \AA~ in VO6_6 octahedra hardens with increasing gate voltage and the Bg_g(3) mode near 654 cm1^{-1} softens. This shows that the distortion of the VO6_6 octahedra in the monoclinic phase decreases with gating. The time dependent Raman data at fixed gate voltages of 1 V (for 50 minute, showing enhancement of conductivity by a factor of 50) and 2 V (for 130 minute, showing further increase in conductivity by a factor of 5) show similar changes in high frequency Raman modes Ag_g(7) and Bg_g(3) as observed in gating. This slow change in conductance together with Raman frequency changes show that the governing mechanism for metalization is more likely to the diffusion controlled oxygen vacancy formation due to the applied electric field.Comment: 5 pages, 6 figure

    Human Papillomavirus DNA in LEEP Plume

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    Objective: This study was undertaken to determine the prevalence of human papillomavirus (HPV) in loop electrosurgical excision procedure (LEEP) plumes

    Understanding the effect of stress hormones on ovarian cancer cells

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    Department of Cancer Systems Imaging Department of Gynecologic Oncology and Reproductive Medicinehttps://openworks.mdanderson.org/sumexp22/1022/thumbnail.jp

    Anomalous Raman scattering from phonons and electrons of superconducting FeSe0.82_{0.82}

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    We report interesting anomalies in the temperature dependent Raman spectra of FeSe0.82_{0.82} measured from 3K to 300K in the spectral range from 60 to 1800 cm1^{-1} and determine their origin using complementary first-principles density functional calculations. A phonon mode near 100 cm1^{-1} exhibits a sharp increase by \sim 5% in frequency below a temperature Ts_s (\sim 100 K) attributed to strong spin-phonon coupling and onset of short-range antiferromagnetic order. In addition, two high frequency modes are observed at 1350 cm1^{-1} and 1600 cm1^{-1}, attributed to electronic Raman scattering from (x2y2x^2-y^2)to xzxz / yzyz dd-orbitals of Fe.Comment: 19 pages, 4 figures, 1 tabl

    Prediction and failure of anti-angiogenesis escape

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    Many clinical trials have demonstrated the benefit of anti-angiogenesis therapy in the treatment of gynecologic cancer. However, these benefits have often been in terms of progression-free rather than overall survival and in some cases, the magnitude of benefit demonstrated in the pivotal phase 3 trials has been disappointing when compared with the percentage of patients who responded in earlier phase 2 trials. Two potential explanations for this are the current inability to stratify patients according to chance of benefit and the development of resistance mechanisms within the tumor. In this article, we review the prediction of response and the proposed resistance and escape mechanisms involved in anti-angiogenesis therapy, including the up-regulation of alternative proangiogenic pathways, vascular co-option, and resistance to hypoxia. These insights may offer a personalized strategy for anti-angiogenesis therapy and help us to consider the best selection of other therapies that should be combined with anti-angiogenesis therapy to improve the outcome of patients with gynecologic cancer

    Integrated Analysis of Gene Expression and Tumor Nuclear Image Profiles Associated with Chemotherapy Response in Serous Ovarian Carcinoma

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    Small sample sizes used in previous studies result in a lack of overlap between the reported gene signatures for prediction of chemotherapy response. Although morphologic features, especially tumor nuclear morphology, are important for cancer grading, little research has been reported on quantitatively correlating cellular morphology with chemotherapy response, especially in a large data set. In this study, we have used a large population of patients to identify molecular and morphologic signatures associated with chemotherapy response in serous ovarian carcinoma.A gene expression model that predicts response to chemotherapy is developed and validated using a large-scale data set consisting of 493 samples from The Cancer Genome Atlas (TCGA) and 244 samples from an Australian report. An identified 227-gene signature achieves an overall predictive accuracy of greater than 85% with a sensitivity of approximately 95% and specificity of approximately 70%. The gene signature significantly distinguishes between patients with unfavorable versus favorable prognosis, when applied to either an independent data set (P = 0.04) or an external validation set (P<0.0001). In parallel, we present the production of a tumor nuclear image profile generated from 253 sample slides by characterizing patients with nuclear features (such as size, elongation, and roundness) in incremental bins, and we identify a morphologic signature that demonstrates a strong association with chemotherapy response in serous ovarian carcinoma.A gene signature discovered on a large data set provides robustness in accurately predicting chemotherapy response in serous ovarian carcinoma. The combination of the molecular and morphologic signatures yields a new understanding of potential mechanisms involved in drug resistance
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