Prognostic significance of T cell subsets in peripheral blood of B cell non-Hodgkin’s lymphoma patients

The role of tumor-infiltrating T cell subsets in the prognosis of non-Hodgkin's lymphoma (NHL) has previously been reported. In the present study, we investigated the prognostic significance of different T cell subsets in the peripheral blood of NHL patients. Immunophenotyping was performed on the peripheral blood samples of 45 patients with newly diagnosed B cell NHL using flow cytometry. The relationship between T cell subsets of CD4+, CD8+, CD3+CD25+, CD4+CD25+, CD4+CD25(high) [as T regulatory cells (T reg)], and the CD4/CD8 ratio with international prognostic index (IPI) and response to therapy was determined. The percentages of CD3+, CD4+, and CD8+?T cells in the peripheral blood of the patients were 49.1?±?20.3%, 23.6?±?11%, and 31.4?±?14.4%, respectively (CD4/CD8 ratio: 0.92?±?0.6). There were 4.2?±?3.2% T reg cells. A study of the percentage of T cells in relation to IPI score showed a higher proportion of CD3+CD25+, CD4+, and CD4+CD25+ cells in low-risk patients compared with intermediate/high risk groups (p?相似文献   

High-precision optical measurements of 13C/12C isotope ratios in organic compounds at natural abundance

A continuous-flow cavity ring-down spectroscopy (CRDS) system integrating a chromatographic separation technique, a catalytic combustor, and an isotopic ¹³C/¹²C optical analyzer is described for the isotopic analysis of a mixture of organic compounds. A demonstration of its potential is made for the geochemically important class of short-chain hydrocarbons. The system proved to be linear over a 3-fold injection volume dynamic range with an average precision of 0.95‰ and 0.67‰ for ethane and propane, respectively. The calibrated accuracy for methane, ethane, and propane is within 3‰ of the values determined using isotope ratio mass spectrometry (IRMS), which is the current method of choice for compound-specific isotope analysis. With anticipated improvements, the low-cost, portable, and easy-to-use CRDS-based instrumental setup is poised to evolve into a credible challenge to the high-cost and complex IRMS-based technique.     

Non-alcoholic steatohepatitis and influence of age and gender on histopathologic findings

AIM:To characterize the histopathologic specifications of non-alcoholic steatohepatitis(NASH)according to age and gender.METHODS:An analytical cross-sectional study was conducted in two private gastroenterology clinics on biopsy proven patients suffering from NASH.Biopsy histopathologic findings as well as demographic and laboratory data of the patients at the time of biopsy were gathered retrospectively from clinical records.The grading and staging of histopathologic findings were performed according to th...     

Identification of diagnostic metabolic signatures in clear cell renal cell carcinoma using mass spectrometry imaging

Clear cell renal cell carcinoma (ccRCC) is the most common and lethal subtype of kidney cancer. Intraoperative frozen section (IFS) analysis is used to confirm the diagnosis during partial nephrectomy. However, surgical margin evaluation using IFS analysis is time consuming and unreliable, leading to relatively low utilization. In our study, we demonstrated the use of desorption electrospray ionization mass spectrometry imaging (DESI-MSI) as a molecular diagnostic and prognostic tool for ccRCC. DESI-MSI was conducted on fresh-frozen 23 normal tumor paired nephrectomy specimens of ccRCC. An independent validation cohort of 17 normal tumor pairs was analyzed. DESI-MSI provides two-dimensional molecular images of tissues with mass spectra representing small metabolites, fatty acids and lipids. These tissues were subjected to histopathologic evaluation. A set of metabolites that distinguish ccRCC from normal kidney were identified by performing least absolute shrinkage and selection operator (Lasso) and log-ratio Lasso analysis. Lasso analysis with leave-one-patient-out cross-validation selected 57 peaks from over 27,000 metabolic features across 37,608 pixels obtained using DESI-MSI of ccRCC and normal tissues. Baseline Lasso of metabolites predicted the class of each tissue to be normal or cancerous tissue with an accuracy of 94 and 76%, respectively. Combining the baseline Lasso with the ratio of glucose to arachidonic acid could potentially reduce scan time and improve accuracy to identify normal (82%) and ccRCC (88%) tissue. DESI-MSI allows rapid detection of metabolites associated with normal and ccRCC with high accuracy. As this technology advances, it could be used for rapid intraoperative assessment of surgical margin status.     

Management of Epilepsy in Resource-Limited Areas: Establishing an Epilepsy Surgery Program in Iran

Background Of about 40 million people with epilepsy, who live in developing countries, the majority do not receive appropriate treatment. Nonetheless, there are striking disparities among the so-called developing countries, however generally speaking, access to and availability of epilepsy management programs in developing countries are very limited and therefore, the issue of developing epilepsy centers in resource-limited settings in a large scale is very essential. The surgery for epilepsy, including temporal lobotomy, lesionectomy and corpus colostomy, for patients with medically-refractory seizures, defined as failure of adequate trials of two tolerated, appropriately chosen and using antiepileptic drug to achieve sustained freedom, from seizure has been proved to be feasible and cost-effective in developing countries. However, the success of epilepsy surgery depends upon the accurate identification of good surgical candidates based on the available resources and technologies without jeopardizing safety. In the current paper, we will share our experiences of establishing an epilepsy surgery program in Iran, despite all short-comings and limitations and try to provide some answers to those challenges, which helped us establish our program.