CD163 versus CD68 in tumor associated macrophages of classical hodgkin lymphoma

Classical Hodgkin lymphoma (CHL) is a B-cell lymphoproliferative disorder with a relatively good prognosis. A small but significant percentage of patients, however, will respond poorly to therapy. A recent gene expression profiling study has identified a macrophage signature which has been correlated with primary treatment failure, and immunohistochemical tissue microarray for CD68 was shown to reflect the gene signature as a potentially clinically useful marker to predict adverse prognosis

Positive thyroid transcription factor 1 staining strongly correlates with survival of patients with adenocarcinoma of the lung

This study investigated the relation between positive thyroid transcription factor 1 (TTF1) staining and survival of patients affected by primary adenocarcinoma (ADC) of the lung. Pathological tissue from consecutive ADC patients was collected from 2002 to 2004. The anti-TTF1 antibody (8G7G3/1, dilution of 1/200) was used. Thyroid transcription factor 1 staining was assessed for each tumour as positive or negative. Probability of survival was estimated by Kaplan–Meier and difference tested by log-rank test. A Cox's regression multivariate analysis was carried out. In all, 106 patients were studied (66% male, 69% PS0–1, 83% with stage III or IV). Tumours expressed positive TTF1 staining in 66% of cases. Multivariate analysis demonstrated an independent lower risk of death for patients whose tumour expresses positive TTF1 staining (HR=0.51, 95% CI 0.30–0.85; P=0.01) and higher grade of differentiation (HR=0.40, 95% CI 0.24–0.68; P=0.001). In conclusion, positive TTF1 staining strongly and independently correlates with survival of patients with primary ADC of the lung

Rare copy number variants contribute to congenital left-sided heart disease

Left-sided congenital heart disease (CHD) encompasses a spectrum of malformations that range from bicuspid aortic valve to hypoplastic left heart syndrome. It contributes significantly to infant mortality and has serious implications in adult cardiology. Although left-sided CHD is known to be highly heritable, the underlying genetic determinants are largely unidentified. In this study, we sought to determine the impact of structural genomic variation on left-sided CHD and compared multiplex families (464 individuals with 174 affecteds (37.5%) in 59 multiplex families and 8 trios) to 1,582 well-phenotyped controls. 73 unique inherited or de novo CNVs in 54 individuals were identified in the left-sided CHD cohort. After stringent filtering, our gene inventory reveals 25 new candidates for LS-CHD pathogenesis, such as SMC1A, MFAP4, and CTHRC1, and overlaps with several known syndromic loci. Conservative estimation examining the overlap of the prioritized gene content with CNVs present only in affected individuals in our cohort implies a strong effect for unique CNVs in at least 10% of left-sided CHD cases. Enrichment testing of gene content in all identified CNVs showed a significant association with angiogenesis. In this first family-based CNV study of left-sided CHD, we found that both co-segregating and de novo events associate with disease in a complex fashion at structural genomic level. Often viewed as an anatomically circumscript disease, a subset of left-sided CHD may in fact reflect more general genetic perturbations of angiogenesis and/or vascular biology

Treatment strategies and prognostic factors of patients with primary germ cell tumors in the mediastinum

Se presenta una paciente que fue intervenida quirúrgicamente por presentar una lesión tumoral a nivel del mediastino anterior, totalmente asintomática y descubierta, de forma incidental (incidentaloma), en el estudio preoperatorio por padecer litiasis vesicular. La tumoración resultó ser, histológicamente, un teratoma quístico maduro. La paciente evolucionó satisfactoriamente.It presents a patient who was surgery because of a tumor at the level of the anterior mediastinum, totally asymptomatic and uncovered, incidentally (incidentaloma), in the preoperative study due to vesicular lithiasis. The tumor turned out to be, histologically, a mature cystic teratoma. The patient evolved satisfactorily

Assessment of Electronic Health Information System Use and Need in US Adult Congenital Heart Disease Centersc hd_498 134..138

A B S T R A C T Objectives. Efforts to improve care for adult congenital heart disease (ACHD) patients necessitates collection of accurate, detailed, longitudinal data. We sought to document what electronic health record systems are currently available at ACHD centers and to assess national interest in a uniform ACHD-focused system. Design. Directors of ACHD centers in the United States were invited to complete an online questionnaire regarding current health information systems at their institution both for general cardiology and for ACHD. Topics that were surveyed included utility and perceived limitations of currently available systems. The survey also assessed the level of interest in an ACHD-specific system, and its optimal functions. Results. Thirty-four centers responded, representing both pediatric and adult institutions that care for patients with ACHD. Of these, 80% reported using a variety of commercially supported electronic medical record products, whereas only 50% employed an ACHD-specific noncommercial database to supplement their institutional system. Comparison of the two systems revealed that most clinical activities are pursued through the institutional electronic medical record system. Research and tracking of clinical activities were the primary uses of ACHD-specific systems, which have several noted limitations. Strong interest in an integrated ACHD-specific system was found among responders. Conclusions. There is both an unmet need and a strong interest in an ACHD-oriented electronic health record that could facilitate research, outcome tracking, quality assurance, and inter-institutional collaboration, all functions that are lacking in electronic health systems currently in use

TIA-1 Cytotoxic Granule-Associated RNA Binding Protein Improves the Prognostic Performance of CD8 in Mismatch Repair-Proficient Colorectal Cancer

Evidence suggests a confounding effect of mismatch repair (MMR) status on immune response in colorectal cancer. The identification of innate and adaptive immune cells, that can complement the established prognostic effect of CD8 in MMR-proficient colorectal cancers patients, representing 85% of all cases, has not been performed

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data

Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new samples, common restrictions of microarray analysis such as small sample sizes, a large attribute space and high noise levels still limit its scientific and clinical applications. Increasing the interpretability of prediction models while retaining a high accuracy would help to exploit the information content in microarray data more effectively. For this purpose, we evaluate our rule-based evolutionary machine learning systems, BioHEL and GAssist, on three public microarray cancer datasets, obtaining simple rule-based models for sample classification. A comparison with other benchmark microarray sample classifiers based on three diverse feature selection algorithms suggests that these evolutionary learning techniques can compete with state-of-the-art methods like support vector machines. The obtained models reach accuracies above 90% in two-level external cross-validation, with the added value of facilitating interpretation by using only combinations of simple if-then-else rules. As a further benefit, a literature mining analysis reveals that prioritizations of informative genes extracted from BioHEL's classification rule sets can outperform gene rankings obtained from a conventional ensemble feature selection in terms of the pointwise mutual information between relevant disease terms and the standardized names of top-ranked genes