Identification of claudin-4 as a marker highly overexpressed in both primary and metastatic prostate cancer

In the quest for markers of expression and progression for prostate cancer (PCa), the majority of studies have focussed on molecular data exclusively from primary tumours. Although expression in metastases is inferred, a lack of correlation with secondary tumours potentially limits their applicability diagnostically and therapeutically. Molecular targets were identified by examining expression profiles of prostate cell lines using cDNA microarrays. Those genes identified were verified on PCa cell lines and tumour samples from both primary and secondary tumours using real-time RT–PCR, western blotting and immunohistochemistry. Claudin-4, coding for an integral membrane cell-junction protein, was the most significantly (P<0.00001) upregulated marker in both primary and metastatic tumour specimens compared with benign prostatic hyperplasia at both RNA and protein levels. In primary tumours, claudin-4 was more highly expressed in lower grade (Gleason 6) lesions than in higher grade (Gleason ⩾7) cancers. Expression was prominent throughout metastases from a variety of secondary sites in fresh-frozen and formalin-fixed specimens from both androgen-intact and androgen-suppressed patients. As a result of its prominent expression in both primary and secondary PCas, together with its established role as a receptor for Clostridium perfringens enterotoxin, claudin-4 may be useful as a potential marker and therapeutic target for PCa metastases

The level of claudin-7 is reduced as an early event in colorectal carcinogenesis

<p>Abstract</p> <p>Background</p> <p>Compromised epithelial barriers are found in dysplastic tissue of the gastrointestinal tract. Claudins are transmembrane proteins important for tight junctions. Claudins regulate the paracellular transport and are crucial for maintaining a functional epithelial barrier. Down-regulation of the oncogenic serine protease, matriptase, induces leakiness in epithelial barriers both <it>in vivo </it>and <it>in vitro</it>. We found in an <it>in-silico </it>search tight co-regulation between <it>matriptase </it>and <it>claudin-7 </it>expression. We have previously shown that the <it>matriptase </it>expression level decreases during colorectal carcinogenesis. In the present study we investigated whether <it>claudin-7 </it>expression is likewise decreased during colorectal carcinogenesis, thereby causing or contributing to the compromised epithelial leakiness of dysplastic tissue.</p> <p>Methods</p> <p>The mRNA level of <it>claudin-7 </it>(CLDN7) was determined in samples from 18 healthy individuals, 100 individuals with dysplasia and 121 colorectal cancer patients using quantitative real time RT-PCR. In addition, immunohistochemical stainings were performed on colorectal adenomas and carcinomas, to confirm the mRNA findings.</p> <p>Results</p> <p>A 2.7-fold reduction in the <it>claudin-7 </it>mRNA level was found when comparing the biopsies from healthy individuals with the biopsies of carcinomas (p < 0.001). Reductions in the <it>claudin-7 </it>mRNA levels were also detected in mild/moderate dysplasia (p < 0.001), severe dysplasia (p < 0.01) and carcinomas (p < 0.01), compared to a control sample from the same individual. The decrease at mRNA level was confirmed at the protein level by immunohistochemical stainings.</p> <p>Conclusions</p> <p>Our results show that the <it>claudin-7 </it>mRNA level is decreased already as an early event in colorectal carcinogenesis, probably contributing to the compromised epithelial barrier in adenomas.</p

Claudin 1 Mediates TNFα-Induced Gene Expression and Cell Migration in Human Lung Carcinoma Cells

Epithelial-mesenchymal transition (EMT) is an important mechanism in carcinogenesis. To determine the mechanisms that are involved in the regulation of EMT, it is crucial to develop new biomarkers and therapeutic targets towards cancers. In this study, when TGFβ1 and TNFα were used to induce EMT in human lung carcinoma A549 cells, we found an increase in an epithelial cell tight junction marker, Claudin 1. We further identified that it was the TNFα and not the TGFβ1 that induced the fibroblast-like morphology changes. TNFα also caused the increase in Claudin-1 gene expression and protein levels in Triton X-100 soluble cytoplasm fraction. Down-regulation of Claudin-1, using small interfering RNA (siRNA), inhibited 75% of TNFα-induced gene expression changes. Claudin-1 siRNA effectively blocked TNFα-induced molecular functional networks related to inflammation and cell movement. Claudin-1 siRNA was able to significantly reduce TNF-enhanced cell migration and fibroblast-like morphology. Furthermore, over expression of Claudin 1 with a Claudin 1-pcDNA3.1/V5-His vector enhanced cell migration. In conclusion, these observations indicate that Claudin 1 acts as a critical signal mediator in TNFα-induced gene expression and cell migration in human lung cancer cells. Further analyses of these cellular processes may be helpful in developing novel therapeutic strategies

Lgl2 Executes Its Function as a Tumor Suppressor by Regulating ErbB Signaling in the Zebrafish Epidermis

Changes in tissue homeostasis, acquisition of invasive cell characteristics, and tumor formation can often be linked to the loss of epithelial cell polarity. In carcinogenesis, the grade of neoplasia correlates with impaired cell polarity. In Drosophila, lethal giant larvae (lgl), discs large (dlg), and scribble, which are components of the epithelial apico-basal cell polarity machinery, act as tumor suppressors, and orthologs of this evolutionary conserved pathway are lost in human carcinoma with high frequency. However, a mechanistic link between neoplasia and vertebrate orthologs of these tumor-suppressor genes remains to be fully explored at the organismal level. Here, we show that the pen/lgl2 mutant phenotype shares two key cellular and molecular features of mammalian malignancy: cell autonomous epidermal neoplasia and epithelial-to-mesenchymal-transition (EMT) of basal epidermal cells including the differential expression of several regulators of EMT. Further, we found that epidermal neoplasia and EMT in pen/lgl2 mutant epidermal cells is promoted by ErbB signalling, a pathway of high significance in human carcinomas. Intriguingly, EMT in the pen/lgl2 mutant is facilitated specifically by ErbB2 mediated E-cadherin mislocalization and not via canonical snail–dependent down-regulation of E-cadherin expression. Our data reveal that pen/lgl2 functions as a tumor suppressor gene in vertebrates, establishing zebrafish pen/lgl2 mutants as a valuable cancer model

Tight junctions and the modulation of barrier function in disease

Tight junctions create a paracellular barrier in epithelial and endothelial cells protecting them from the external environment. Two different classes of integral membrane proteins constitute the tight junction strands in epithelial cells and endothelial cells, occludin and members of the claudin protein family. In addition, cytoplasmic scaffolding molecules associated with these junctions regulate diverse physiological processes like proliferation, cell polarity and regulated diffusion. In many diseases, disruption of this regulated barrier occurs. This review will briefly describe the molecular composition of the tight junctions and then present evidence of the link between tight junction dysfunction and disease

Cancer Biomarker Discovery: The Entropic Hallmark

Background: It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high-throughput technologies that follow the gradual changes observed in the gene expression profiles by employing Shannon's mathematical theory of communication. Methods based on Information Theory can then quantify the divergence of cancer cells' transcriptional profiles from those of normally appearing cells of the originating tissues. The relevance of the proposed methods can be evaluated using microarray datasets available in the public domain but the method is in principle applicable to other high-throughput methods. Methodology/Principal Findings: Using melanoma and prostate cancer datasets we illustrate how it is possible to employ Shannon Entropy and the Jensen-Shannon divergence to trace the transcriptional changes progression of the disease. We establish how the variations of these two measures correlate with established biomarkers of cancer progression. The Information Theory measures allow us to identify novel biomarkers for both progressive and relatively more sudden transcriptional changes leading to malignant phenotypes. At the same time, the methodology was able to validate a large number of genes and processes that seem to be implicated in the progression of melanoma and prostate cancer. Conclusions/Significance: We thus present a quantitative guiding rule, a new unifying hallmark of cancer: the cancer cell's transcriptome changes lead to measurable observed transitions of Normalized Shannon Entropy values (as measured by high-throughput technologies). At the same time, tumor cells increment their divergence from the normal tissue profile increasing their disorder via creation of states that we might not directly measure. This unifying hallmark allows, via the the Jensen-Shannon divergence, to identify the arrow of time of the processes from the gene expression profiles, and helps to map the phenotypical and molecular hallmarks of specific cancer subtypes. The deep mathematical basis of the approach allows us to suggest that this principle is, hopefully, of general applicability for other diseases

Abstract P1-01-02: Ki-67 proliferation index supported by digital quantitation in breast cancer: A comparative study

Abstract Introduction: In cases of breast cancer, in addition to hormone receptor and Her2 status, proliferation markers (mitotic index, Ki-67 proliferation index = KIPI) also have therapeutic implications. The 2013 St. Gallen consensus guideline includes 14% cut-off point (20% by many experts) for KIPI to distinguish luminal A-like and luminal B-like subtypes, that might be associated with remarkable intra-/interobsever variability applied in daily pathological routine utilizing semiquantitative (SQ) "eye-balling" method. Objective: The comparison of conventional SQ method and digital image-analysis (DIA) processes for the detection of KIPI. Methods: Three hundred and forty-seven breast cancer patients' samples with 99.24 months median follow-up data were included in our study (ethical approval: IKEB #7/2008 and 7-1/2008). Tissue microarrays (TMA) were prepared from the representative paraffin-embedded tumor blocks. After performing Ki-67 (MIB1 clone, #0505 by iOT on Ventana Benchmark XT autostainer by Roche) immunoreaction, conventional evaluation of KIPI was performed by 3 breast pathologists independently (SQ1-3). Digital image analysis was supported by PatternQuant (Pannoramic Viewer v15.3 and QuantCenter 2.0, 3DHistech Ltd.) applying a fully automatic tumor tissue recognition module with KIPI detection (DIA-1), and an adjustable module (DIA-2) with the possibility of manual corrections to exclude false detections. Interobserver variability was estimated with intra-class correlation coefficient (ICC). Digital pathological methods were compared to the - currently gold standard - SQ determination of KIPI using SPSS 22 statistical program. Results: The three pathologists' SQ evaluations demonstrated a remarkable concordance (ICC=0.889; 95% CI= 0.834-0.922). A reference KIPI value (KIPI-RV) was derived from mean values of SQ2 and SQ3, since no significant difference was found between them (p=0.617). KIPI-RV and DIA-2 showed no significant difference (p=0.754), and excellent concordance (ICC=0.979; 95% CI=0.975-0.982). Significant difference has occurred between KIPI-RV and results of DIA-1 (p=0.001). Upon dichotomizing KIPI value at 14%, no significant difference was found between KIPI-RV and DIA-2 (p=0.262), while KIPI-RV and DIA-1 differed (p=0.006). For prognosis prediction, all three methods were able to perform statistically significant division of our patients into 2 cohorts with distinct DFS at 14% (p&amp;lt;0.017-0.038). At 20% threshold of KIPI, DIA-1 failed (p=0.053), while KIPI-RV and DIA-2 were able to separate good and unfavorable prognosis patients' cohorts (p=0.01; p=0.004). Conclusion: The DIA processes are objective methods in the evaluation of KIPI. The fully automated DIA-1 method differed most from SQ results. Digital image analysis adjusted by a pathologist (our DIA-2 method) reached high concordance with results of SQ. Further refinement and validation are needed to verify applicability of automatic tumor pattern recognition software in diagnostic practice. Our results confirm that SQ evaluation of KIPI is reliable. This study was supported by the research grant from Hungarian Society of Medical Oncology 2014 and research grant from Doctoral School of Ph.D. Studies, Semmelweis University 2014. Citation Format: Acs B, Madaras L, Kovacs KA, Tokes A-M, Kulka J, Szasz AM. Ki-67 proliferation index supported by digital quantitation in breast cancer: A comparative study. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P1-01-02.</jats:p

Abstract P3-05-08: Analysis of the expression of claudin-3, -4, -7 and E-cadherin in breast cancer: are they surrogates for the claudin-low subtype?

Abstract Introduction: The molecular architecture of tight junctions (TJ) has been a subject of extensive studies in a number of malignancies. Among the TJ components, the members of the protein family claudins (CLDN) have been found to be differentially expressed correlating with histological grade (HG) in a number of tissues. Furthermore, the expression of these junctional proteins (JP) have recently been implied in the identification of the claudin-low subtype by gene expression analysis. Material and methods: 261 breast cancer specimens diagnosed between 1999 and 2002 were collected and evaluated histopathologically and immunophenotypically by a single specialist. Tissue microarrays were constructed using a TMA-builder instrument (Histopathology Ltd., Pecs, Hungary). To identify the eventual prognostic role of the TJ proteins CLDN3, −4 and −7, and adherent junction protein E-cadherin (ECDH) their immunohistochemical (IHC) expression was analysed by 3 investigators separately, and a consensus score was reached. The IHC results were compared to the patients' follow-up data applying Kaplan-Meier analysis supported by log-rank test. Furthermore, we aimed at identifying the worse prognosis tumour group based on clustering of the expression of the above mentioned JPs. Results: The expression of CLDN3 correlated with vascular invasion (VI)/p = 0.029/, necrosis (NC)/p = 0.001/, HG/p = 0.001/ and mitotic index (MI)/p = 0.022/. CLDN4 and CLDN7 correlated with NC/p = 0.001, p = 0.012, respectively/ and HG/p = 0.034, p = 0.001, respectively/, while ECDH correlated with HG/p = 0.001/ and MI/p = 0.001/. In single protein analysis, groups displaying gradually increasing CLDN3, −7 and ECDH/p = 0.017/expression (split at mean expression ± SD) showed a trend of bearing poorer prognostic features. CLDN4, on the other hand, showed different tendency: gradually increasing expression also correlated with worse relapse-free survival (RFS), while CLDN4 negative/low tumors had the poorest prognosis/p = 0.034/. In multiple protein analysis, groups were created using k-means clustering and the following cohorts were created - appearing in prognostic sequence starting with the longest RFS: ECDH-low groups with 1) low/n=31/ and 2) high/n=42/ CLDN3 expression; 3) CLDN7-low (CLDN3, -4 and ECDH-high) group/n=35/, 4) “all-high” expression group/n=70/; 5) CLDN3-low (CLDN4, -7 and ECDH-high) group/n=68/ and 6) “all-low” group/n=15/. The latter was characterised by the CLDN4-low feature as compared to the other groups. Conclusion: Expression of JPs can have prognostic relevance in breast carcinomas. The groups with low expression of ECDH have good prognosis, while gradually increasing JP expression outlines poor prognostic tumours. Strikingly the drop in all JPs expression - most likely resembling the claudin-low subtype - specifies the subgroup with the poorest outcome, which still remains an infrequent disease entity. Grant support: TÁMOP-4.2.2/B-10/1-2010-0013. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P3-05-08.</jats:p

Unraveling breast cancer progression through geographical and temporal sequencing.

Oral presentation- Molecular and Cellular Biology 15 session (abstract 986).info:eu-repo/semantics/nonPublishe