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The application of geophysics may assist in solving environmental, geotechnical and exploration problems. One commonly used method in such applications is electrical resistivity tomography (ERT). In order to interpret the results, inversion is needed to create models estimating distribution of resistivity in the ground. Several inversion programs are available for geophysicists to use. It is therefore important to investigate if different software's give similar results for a given data set. In this paper, three different inversion software's have been compared through inversion of the forward response of the same synthetic model. The programs used are Res2Dinv, Aarhusinv and BERT. Two synthetic forward models have been used. As expected, Res2Dinv generally tends to exaggerate structures vertically and Aarhusinv to exaggerate them vertically. BERT seems to be somewhere in between, but does not seem to resolve sharp features in the synthetic forward model, resulting in rounded anomalies. A square-like feature close to the ground surface in the forward model was well resolved by all inversion software. However, it was not possible to resolve inclined blocks in any of the inversions. Possible explanations might be poor data coverage at deeper depths in the model and model discretization that cannot resolve inclined geometries.

Background: This study aimed to determine human papillomavirus (HPV) status and to investigate p16(INK4A) and Ki-67 expression and their correlation with clinical parameters and survival in women with primary carcinoma of the vagina (PCV). Methods: The presence of HPV DNA was evaluated by PCR. Genotyping was performed by Luminex in 68 short-term (<= 2 years) and long-term (>= 8 years) PCV survivors. p16(INK4A) and Ki-67 expression was evaluated by immunohistochemistry. Results: Human papillomavirus DNA was detected in 43% of patients, the majority (63%) of whom were HPV16 positive. High p16INK4A expression was significantly correlated with low histopathological grade (P =0.004), HPV positivity (P =0.032), and long-term survival (P =0.045). High Ki-67 expression was negatively correlated with histopathological grade (P < 0.001) and tumour size (P =0.047). There was an association between HPV positivity and low histopathological grade, but not between HPV positivity and survival. Conclusion: High p16(INK4A) expression was associated with long-term survival, but the only independent predictors for survival were tumour size and histopathological grade. Our results indicate that p16(INK4A) and Ki-67 expression might be useful in tumour grading, and that it might be possible to use p16(INK4A) expression as a marker for HPV positivity, but this has to be further elucidated.

In earlier studies insects were proposed as suitable models for vertebrate blood–brain barrier (BBB) permeability prediction and useful in early drug discovery. Here we provide transcriptome and functional data demonstrating the presence of a P-glycoprotein (Pgp) efflux transporter in the brain barrier of the desert locust (Schistocerca gregaria). In an in vivo study on the locust, we found an increased uptake of the two well-known Pgp substrates, rhodamine 123 and loperamide after co-administration with the Pgp inhibitors cyclosporine A or verapamil. Furthermore, ex vivo studies on isolated locust brains demonstrated differences in permeation of high and low permeability compounds. The vertebrate Pgp inhibitor verapamil did not affect the uptake of passively diffusing compounds but significantly increased the brain uptake of Pgp substrates in the ex vivo model. In addition, studies at 2°C and 30°C showed differences in brain uptake between Pgp-effluxed and passively diffusing compounds. The transcriptome data show a high degree of sequence identity of the locust Pgp transporter protein sequences to the human Pgp sequence (37%), as well as the presence of conserved domains. As in vertebrates, the locust brain–barrier function is morphologically confined to one specific cell layer and by using a whole-brain ex vivo drug exposure technique our locust model may retain the major cues that maintain and modulate the physiological function of the brain barrier. We show that the locust model has the potential to act as a robust and convenient model for assessing BBB permeability in early drug discovery.

BACKGROUND: Genomic stability is one of the crucial prognostic factors for patients with endometrioid endometrial cancer (EEC). The impact of genomic stability on the tumour tissue proteome of EEC is not yet well established. METHODS: Tissue lysates of EEC, squamous cervical cancer (SCC), normal endometrium and squamous cervical epithelium were subjected to two-dimensional (2D) gel electrophoresis and identification of proteins by MALDI TOF MS. Expression of selected proteins was analysed in independent samples by immunohistochemistry. RESULTS: Diploid and aneuploid genomically unstable EEC displayed similar patterns of protein expression. This was in contrast to diploid stable EEC, which displayed a protein expression profile similar to normal endometrium. Approximately 10% of the differentially expressed proteins in EEC were specific for this type of cancer with differential expression of other proteins observed in other types of malignancy (e.g., SCC). Selected proteins differentially expressed in 2D gels of EEC were further analysed in an EEC precursor lesion, that is, atypical hyperplasia of endometrium, and showed increased expression of CLIC1, EIF4A1 and PRDX6 and decreased expression of ENO1, ANXA4, EMD and Ku70. CONCLUSION: Protein expression in diploid and aneuploid genomically unstable EEC is different from the expression profile of proteins in diploid genomically stable EEC. We showed that changes in expression of proteins typical for EEC could already be detected in precursor lesions, that is, atypical hyperplasia of endometrium, highlighting their clinical potential for improving early diagnostics of EEC.

Background:Cytology-based diagnostics of squamous cervical cancer (SCC) precursor lesions is subjective and can be improved by objective markers.Methods:IHC-based analysis of ANXA6, HSP27, peroxiredoxin 2 (PRDX2), NCF2, and tropomyosin 4 (TPM4) during SCC carcinogenesis.Results:Expression of ANXA6, HSP27, PRDX2, and NCF2 in the cytoplasm of dysplastic cells increased from cervical intraepithelial neoplasia 2/3 (CIN2/3) to microinvasive cancer. Invasive SCC showed lower expression of TPM4 than CIN and normal epithelium. CIN2/3 with the highest sensitivity and specificity differed from normal epithelium by cytoplasmic expression of HSP27. Patients with cytoplasmic HSP27 expression in SCC deviating from that observed in normal epithelium had worse relapse-free (P0.019) and overall (P0.014) survival. Invasive SCC with the highest sensitivity and specificity differed from normal epithelium by expression of PRDX2 and TPM4 in the cytoplasm, from CIN2/3 by the expression of ANXA6 and TPM4 in the cytoplasm, and from microinvasive SCC by the expression of PRDX2 and ANXA6 in the cytoplasm. The number of sporadic ANXA6 cells between the atypical cells increased from CIN2/3 to invasive SCC.Conclusion:Detection of expression changes of the proteins ANXA6, HSP27, PRDX2, NCF2, and TPM4 in SCC precursor lesions may aid current cytological and pathological diagnostics and evaluation of prognosis.