[Electromagnetic procedures in the treatment of pancreatic cancer: eminent or resentful?] / Elektromágneses eljárások a hasnyálmirigyrák kezelésében: eminens vagy renitens?

The treatment of advanced-stage pancreatic cancers is limited. Previous studies have found that the use of modulated electro-hyperthermia (mEHT) is beneficial in this patient population. However, there is no data on the optimal treatment number and initiation period. Therefore, a retrospective study was conducted with the inclusion of 96 mEHT-treated and 86 age- and sex-matched control pancreatic cancer patients. 76, 57, 38 and 33 patient pairs were enrolled into propensity score matched cohorts, whether they received at least 10, 20, 30 and 40 mEHT treatments, respectively. The survival of patients with at least 30 (HR: 0.5011; p = 0.0041) and 40 (HR: 0.5048; p = 0.0085) mEHT treatments was significantly longer, median survival was almost twice as long (10 vs. 18 months). The introduction of mEHT had the greatest benefit in the first (HR: 0.5382; p = 0.0056) and second (HR: 0.7861; p = 0.0031) 6 months after diagnosis.

[The adjuvant killing effect of modulated electro-hyperthermia combined with chemotherapy on B16F10 melanoma cells]. / Modulált elektro-hipertermia sejtpusztító hatásának mechanizmusa és kemoterápiával való kölcsönhatása B16F10 melanóma-sejtvonalon.

Our aim was to detect the effect of modulated electro-hyperthermia (mEHT) on cell viability and to examine if hyperthermia can augment the cell killing effect of various chemotherapeutic agents. B16F10 melanoma cells were treated for 30, 60, 90 and 120 minutes with mEHT using LabEHY100 (OncothermTM). Cell viability was measured using MTT assay and apoptosis by annexin V/7-AAD staining using flow cytometry 24 hours post-treatment. For analyzing gene expression with qPCR cells were harvested after 60 minutes treatment. In combined protocols, cells were treated with paclitaxel (40 nM), dacarbazine (40 µM) or nutlin-3a (10 µM) after mEHT. mEHT induced nuclear translocation of p53 which in turn regulates pro- and anti-apoptotic gene expression accounting for decreased cell viability. In combination with chemotherapy, mEHT augmented the cell killing effect of dacarbazine or nutlin-3a but not that of paclitaxel determined 48 hours post-treatment. The sensitizing effect on chemotherapeutics demonstrate the efficiency of mEHT as an adjuvant modality in cancer treatment.

Prevalence of APC and PTEN Alterations in Urachal Cancer.

Urachal carcinoma (UrC) is a rare tumor with remarkable histological and molecular similarities to colorectal cancer (CRC). Adenomatous polyposis coli (APC) is the most frequently affected gene in CRC, but the prevalence and significance of its alterations in UrC is poorly understood. In addition, loss of phosphatase and tensin homologue (PTEN) was shown to be associated with therapy resistance in CRC. Our primary aim was to assess specific genetic alterations including APC and PTEN in a large series of UrC samples in order to identify clinically significant genomic alterations. We analyzed a total of 40 UrC cases. Targeted 5-gene (APC, PTEN, DICER1, PRKAR1A, TSHR, WRN) panel sequencing was performed on the Illumina MiSeq platform (n = 34). In addition, ß-catenin (n = 38) and PTEN (n = 30) expressions were assessed by immunohistochemistry. APC and PTEN genes were affected in 15% (5/34) and 6% (2/34) of cases. Two of five APC alterations (p.Y1075*, p.K1199*) were truncating pathogenic mutations. One of the two PTEN variants was a pathogenic frameshift insertion (p.C211fs). In 29% (11/38) of samples, at least some weak nuclear ß-catenin immunostaining was detected and PTEN loss was observed in 20% (6/30) of samples. The low prevalence of APC mutations in UrC represents a characteristic difference to CRC. Based on APC and ß-catenin results, the Wnt pathway seems to be rarely affected in UrC. Considering the formerly described involvement of PTEN protein loss in anti-EGFR therapy-resistance its immunohistochemical testing may have therapeutic relevance.

Major Complications after Male Anti-Incontinence Procedures: Predisposing Factors, Management and Prevention.

PURPOSE: Significant post-prostatectomy incontinence (PPI) is a crippling condition and managed best through sling or artificial urinary sphincter (AUS) implantation. These procedures are often associated with complications requiring surgical intervention. The aim of our retrospective study was to evaluate the occurrence of major complications and identify risk factors. MATERIALS AND METHODS: Between 2010 and 2018 ninety-one patients have been implanted with sling (22; 24.2%) or AUS (69; 75.8%) in our department. The cases where surgical revision was needed were examined regarding the etiology (mechanical failure (MF), urethral erosion (UE), urethral atrophy (UA), surgical site infection (SSI), combined reasons (COMB) and analyzed, using 16 possible perioperative risk factors. RESULTS: Surgical intervention was carried out by 19 / 91 (20.9%) patients. (In 16 / 69 cases after AUS (23.1%), 3 / 13 after slings (23%)). The indication was in 6 (31.6%) cases MF, in 3 (15.8 %) COMB, in 4 (21.1%) UE, in 5 (26.3 %) SSI, in 1 (5.2%) UA. The type of reoperation was either explantation (12 / 19), system replacement (6 / 19), or cuff replacement (1 /19). Regarding the surgical intervention requiring complications only preoperative bacteriuria (P = .006) and postoperative surgical site oedema (P = .002) proved to be independent predictive factors. CONCLUSION: Preoperative bacteriuria and surgical site oedema seemed to be good predictors for obligate surgical revision. Patients with AUS were more prone to have major complications. In most cases it was mechanical failure, infection or erosion. By reducing the frequency of these risk factors we might be able to decrease the amount of complications.

The intelligent knife (iKnife) and its intraoperative diagnostic advantage for the treatment of cervical disease.

Clearance of surgical margins in cervical cancer prevents the need for adjuvant chemoradiation and allows fertility preservation. In this study, we determined the capacity of the rapid evaporative ionization mass spectrometry (REIMS), also known as intelligent knife (iKnife), to discriminate between healthy, preinvasive, and invasive cervical tissue. Cervical tissue samples were collected from women with healthy, human papilloma virus (HPV) ± cervical intraepithelial neoplasia (CIN), or cervical cancer. A handheld diathermy device generated surgical aerosol, which was transferred into a mass spectrometer for subsequent chemical analysis. Combination of principal component and linear discriminant analysis and least absolute shrinkage and selection operator was employed to study the spectral differences between groups. Significance of discriminatory m/z features was tested using univariate statistics and tandem MS performed to elucidate the structure of the significant peaks allowing separation of the two classes. We analyzed 87 samples (normal = 16, HPV ± CIN = 50, cancer = 21 patients). The iKnife discriminated with 100% accuracy normal (100%) vs. HPV ± CIN (100%) vs. cancer (100%) when compared to histology as the gold standard. When comparing normal vs. cancer samples, the accuracy was 100% with a sensitivity of 100% (95% CI 83.9 to 100) and specificity 100% (79.4 to 100). Univariate analysis revealed significant MS peaks in the cancer-to-normal separation belonging to various classes of complex lipids. The iKnife discriminates healthy from premalignant and invasive cervical lesions with high accuracy and can improve oncological outcomes and fertility preservation of women treated surgically for cervical cancer. Larger in vivo research cohorts are required to validate these findings.

Profiling the Protein Targets of Unmodified Bio-Active Molecules with Drug Affinity Responsive Target Stability and Liquid Chromatography/Tandem Mass Spectrometry.

Identifying the target proteins of bioactive small molecules is a key step in understanding mode-of-action of the drug and addressing the underlying mechanisms responsible for a particular phenotype. Proteomics has been successfully used to elucidate the target protein profiles of unmodified and ligand-modified bioactive small molecules. In the latter approach, compounds can be modified via click chemistry and combined with activity-based protein profiling. Target proteins are then enriched by performing a pull-down with the modified ligand. Methods that utilize unmodified bioactive small molecules include the cellular thermal shift assay, thermal proteome profiling, stability of proteins from rates of oxidation, and the drug affinity responsive target stability (DARTS) determination (or read-out). This review highlights recent proteomic approaches utilizing data-dependent analysis and data-independent analysis to identify target proteins by DARTS. When combined with liquid chromatography/tandem mass spectrometry, DARTS enables the identification of proteins that bind to drug molecules that leads to a conformational change in the target protein(s). In addition, an effective strategy is proposed for selecting the target protein(s) from within the pool of analyzed candidates. With additional complementary methods, the biologically relevant target proteins that bind to the small bio-active molecules can be further validated.

[Preclinical and clinical investigation and development of electromagnetic oncological device - experience with solid tumors]. / Elektromágneses daganatterápiás készülék preklinikai és klinikai vizsgálatai, valamint mûszaki továbbfejlesztése: tapasztalatok szolid tumorokkal.

Our objective was to develop an electromagnetic tumor therapy device in a consortial cooperation between Semmelweis University and Oncotherm Ltd., to provide data and contribute to the development of the next generation of devices through preclinical, clinical and developmental modules via in vivo, in vitro studies, and patient treatments. Our numerous preclinical studies support the efficacy of mEHT. Clinical treatments were performed in 181 patients with inoperable and/or oligometastatic solid tumors. The protocols were developed, an international guideline was completed, and the planned steps of device development were realized. By optimizing previous selective RF techniques based on recent research findings, we can provide the most modern evidence-based treatment in the future.

Exploiting autoimmunity unleashed by low-dose immune checkpoint blockade to treat advanced cancer.

As a result of the cancer immunotherapy revolution, more than 2000 immuno-oncology agents are currently being tested or are in use to improve responses. Not unexpectedly, the 2018 Nobel Prize in Physiology or Medicine was awarded to James P. Allison and Tasuku Honjo for their development of cancer therapy by the blockade of co-inhibitory signals. Unfortunately, manipulation of the co-inhibitory receptors has also resulted in a safety issue: widespread iatrogenic immune-related adverse events (irAEs). Autoimmunity is emerging as the nemesis of immunotherapy. Originally, it was assumed that CTLA-4 blockade selectively targets T cells relevant to the antitumour immune response. However, an uncontrolled pan T cell activation was induced compromising tolerance to healthy self-tissues. The irAEs are very similar to that of a chronic graft-versus-host-disease (GVHD) reaction following allogeneic bone marrow transplantation (BMT). We hypothesized that ipilimumab induced a graft-versus-malignancy (GVM) effect, which eradicated metastatic melanoma in a minority of patients, but also involved an auto-GVHD reaction that resulted in widespread autoimmunity in the majority. Therefore, we argued for a profound theoretical point against the consensus of experts. The task is not to desperately put the genie back in the bottle by immune-suppressive treatments, but instead to harness the autoimmune forces. In this way, the same goal could be achieved by an antibody as by the adoptive transfer of alloreactive donor lymphocytes, but without severe GVHD. The proof-of-principle of a low-dose-combination immune checkpoint therapy, consisting only of approved drugs and treatments, was demonstrated in 111 stage IV cancer patients.

Assessing Automated Sample Preparation Technologies for High-Throughput Proteomics of Frozen Well Characterized Tissues from Swedish Biobanks.

Large cohorts of carefully collected clinical tissue materials play a central role in acquiring sufficient depth and statistical power to discover disease-related mechanisms and biomarkers of clinical significance. Manual preparation of such large sample cohorts requires experienced laboratory personnel. This carries other possible downsides such as low throughput, high risk of errors, and low reproducibility. In this work, three automated technologies for high-throughput proteomics of frozen sectioned tissues were compared. The instruments evaluated included the Bioruptor for tissue disruption and protein extraction; the Barocycler, which is able to disrupt tissues and digest the proteins; and the AssayMAP Bravo, a microchromatography platform for protein digestion, peptide desalting, and fractionation. Wide varieties of tissue samples from rat spleen, malignant melanoma, and pancreatic tumors were used for the assessment. The three instruments displayed reproducible and consistent results, as was proven by high correlations and low coefficients of variation between technical replicates and even more importantly, between replicates that were processed in different batches or at different time points. The results from this study allowed us to integrate these technologies into an automated sample preparation workflow for large-scale proteomic studies that are currently ongoing. Data are available via ProteomeXchange with identifiers PXD010296 and PXD011295.

Biobank integration of large-scale clinical and histopathology melanoma studies within the European Cancer Moonshot Lund Center.

We present the Cancer Moonshot clinical project located at the European center in Lund. Here, tissue and blood samples have been collected and stored in a large-scale biobank. Multiple clinical centers around the world are participating and tissue and blood samples are sent to the European Cancer Moonshot Lund Center that acts as the clinical hub. Our center has been developed to generate and build large-scale biostorage archives of patient melanoma samples, which is then combined with a histopathological capability to characterize the patient tumours. Such a large-scale clinical sample processing initiative has begun with the aim of creating high-end histopathology indexing with database computational power and including proteogenomic analysis. The biobank at Lund has become an important resource in clinical research worldwide. Following suite, several national health programs are being initiated with the aim of also building large-scale biobank storages with a wealth of high-quality patient samples. In our Cancer Moonshot R&D activities, samples in the biobanks and the data derived from these samples are being used to build an understanding of disease presentation and using this information to move towards 'Big Data' proteogenomic and mass spectrometry imaging studies. Additionally, we report here a sample processing workflow that has been adapted to a fully-automated biobank processing strategy for large-scale studies.

Endogenous expression mapping of malignant melanoma by mass spectrometry imaging.

BACKGROUND: Currently, only a limited number of molecular biomarkers for malignant melanoma exist. This is the case for both diagnosing the disease, staging, and efficiently measuring the response to therapy by tracing the progression of disease development and drug impact. There is a great need to identify novel landmarks of disease progression and alterations. METHODS: Matrix-assisted laser desorption ionisation mass spectrometry imaging (MALDI-MSI) has been developed within our group to study drug localisation within micro-environmental tissue compartments. Here, we expand further on this technology development and introduce for the first time melanoma tumour tissues to map metabolite localisation utilising high resolution mass spectrometry. MALDI-MSI can measure and localise the distribution pattern of a number of small molecule metabolites within tissue compartments of tumours isolated from melanoma patients. Data on direct measurements of metabolite identities attained at the local sites in tissue compartments has not been readily available as a measure of a clinical index for most cancer diseases. The current development on the mapping of endogenous molecular expression melanoma tumours by mass spectrometry imaging focuses on the establishment of a cancer tissue preparation process whereby a matrix crystal formation is homogenously built on the tissue surface, providing uniform molecular mapping. We apply this micro-preparation technology to disease presentation by mapping the molecular signatures from patient tumour sections. RESULTS: We have automated the process with a micro-technological dispensing platform. This provides the basis for thin film generation of the cancer patient tissues prior to imaging screening. Compartmentalisation of the tumour regions are displayed within the image analysis interfaced with histopathological grading and characterisation. CONCLUSIONS: This enables site localisation within the tumour with image mapping to disease target areas such as melanoma cells, macrophages, and lymphocytes.

Breast carcinoma subtypes show different patterns of metastatic behavior.

The aim of our retrospective study was to analyze patterns of subtype specific metastatic spread and to identify the time course of distant metastases. A consecutive series of 490 patients with breast cancer who underwent surgery and postoperative treatment at Semmelweis University, Hungary, and diagnosed between the years 2000 and 2007 was identified from the archives of the 2nd Department of Pathology, Hungary. Molecular subtypes were defined based on the 2011 St. Gallen recommendations. Statistical analysis was performed with SPSS Statistics for Windows, Version 22.0. Distant metastasis free survival (DMFS) was defined as the time elapsed between the first pathological diagnosis of the tumor and the first distant metastasis detection. Distant metastases were detected in 124 patients. Mean time to develop metastasis was 29 months (range 0-127 months). The longest DMFS was observed in the Luminal A (LUMA) subtype (mean 39 months) whereas the shortest was seen in the HER2-positive (HER2+) subtype (mean 21 months; p = 0.012). We confirmed that HER2+ tumors carry a higher risk for distant metastases (42.1%). LUMA-associated metastases were found to be solitary in 59% of cases, whereas HER2+ tumors showed multiple metastases in 79.2% of cases. LUMA tumors showed a preference for bone-only metastasis as compared with HER2+ and triple negative breast cancer (TNBC) cases, which exhibited a higher rate of brain metastasis. The most frequent second metastatic sites of hormone receptor (HR) positive tumors were the lung and liver, whereas the brain was the most affected organ in HR-negative (HR-) cases. Tumor subtypes differ in DMFS and in pattern of distant metastases. HER2+ tumors featured the most aggressive clinical course. Further identification of subtype-specific factors influencing prognosis might have an impact on clinical care and decision-making.

Mutations of KRAS, NRAS, BRAF, EGFR, and PIK3CA genes in urachal carcinoma: Occurence and prognostic significance.

PURPOSE: Targeted therapy represents an attractive alternative for rare tumors such as urachal carcinoma (UrC). The aim of this study was to assess the mutations of the most commonly affected 5 genes in the targetable EGFR-pathway in UrC and comapre their frequencies to those of found in urothelial and colorectal cancer. MATERIALS AND METHODS: Mutational hot-spots of selected genes were tested in 22 UrC samples by pyrosequencing. Mutational patterns were compared to those published for colorectal and urothelial cancers. Furthermore, we sought correlations between mutations and clinicopathological and follow-up data. RESULTS: We found 11 mutations in 10 of 22 (45%) patients. The most frequently mutated gene was KRAS (27%) followed by BRAF (18%) and NRAS (5%), while no mutations were detected in the EGFR and PIK3CA genes. No correlation was found between the mutation status and clinicopathological parameters (Sheldon/Mayo stage, tumor grade, metastases). Furthermore, none of the mutations correlated with progression-free or overall survival. CONCLUSIONS: The mutation pattern of UrC is more similar to colorectal than to urothelial cancer. However, the mutation characteristics of UrC seems to be unique suggesting that clinical decision-making for UrC cannot be simply adopted from urothelial or colorectal carcinoma. The high occurence of EGFR-pathway mutations warrants the testing for KRAS and BRAF mutations when considering anti-EGFR therapy in UrC.

Clinical, prognostic, and therapeutic aspects of urachal carcinoma-A comprehensive review with meta-analysis of 1,010 cases.

BACKGROUND AND OBJECTIVES: Urachal carcinoma (UrC) is a rare and poorly investigated disease. Our current knowledge is mainly based on single-institutional studies. Despite growing interest in UrC, the included case numbers in recently published studies are still low. Therefore, we aimed to provide a comprehensive meta-analysis on the clinical, prognostic, and therapeutic aspects of UrC. METHODS: A systematic Medline/PubMed search was performed on UrC using the terms "urachal carcinoma," "urachal cancer," and "urachus." Original articles and reviews in English language with case numbers>10 were selected. RESULTS: The vast majority (91%, 489/532) of UrCs are diagnosed at later stages (Sheldon≥III) when the tumor invades the urinary bladder. About 21% (136/646) of UrC patients have distant metastasis at first presentation. Although for patients with non-metastatic UrC surgical treatment provides an acceptable disease control, the systemic treatment of patients with progressed/metastatic UrC-in lack of prospective clinical trials-are less well established. Comparing cisplatin-based and 5-FU-based therapies in 74 published UrC cases, we found the latter to be superior in terms of radiographic response rates (9% vs. 44%, P = 0.043), but the combination of these 2 therapies provided the lowest progression rate (14%) with a similarly high response rate (43%). CONCLUSIONS: Owing to the lack of evidence-based guidelines, the therapy of UrC remains challenging. Given the infrequency of UrC, large prospective studies comparing different systemic therapies can hardly be conducted. Our metadata indicates that 5-FU-containing chemotherapy regimens are more effective than cisplatin-based treatment modalities, whereas their combination seems to provide the strongest antitumor effect. Nevertheless, in the lack of evidences from prospective clinical trials, therapeutic decision-making necessarily remains on an individual basis. In this situation, targeted therapies may provide a reasonable alternative. Therefore, better understanding of the molecular background of UrC is needed to rationalize treatment decisions in UrC.

[Clinico-pathologically focused breast cancer research]. / Klinikopatológiai szemléletû emlõrákkutatások.

In the second half of the 20th century research focusing to breast carcinomas at the Semmelweis University had been mostly linked to the 2nd Department of Pathology. Nowadays, following the rapidly improving treatment modalities in breast cancer there is an increasing need for defining new predictive and prognostic markers. The modern molecular pathological approach helps tremendously in mapping the biological behavior of individual cases of breast cancers and meanwhile, it is one of the prerequisites of a more efficient treatment both in neoadjuvant and adjuvant settings, as well as in metastatic disease. We provide a brief review of the relevant results we have obtained in breast cancer research between 2000 and 2015.

Gene expression-based prognostic and predictive tools in breast cancer.

Genomic assays measuring the expression of multiple genes have made their way into clinical practice and their utilization is now recommended by major international guidelines. A basic property of these tests is their capability to sub-divide patients into high- and low-risk cohorts thereby providing prognostic, and in certain settings, predictive decision support. Here, we summarize commercially available assays for breast cancer including RT-PCR and gene chip-based tests. Given the relative uncertainty in cancer treatment, multigene tests have the potential for a significant cost reduction as they can pinpoint those patients for whom chemotherapy proves to be unnecessary. However, concordance of risk assessment for an individual patient is still far from optimal. Additionally, emerging multigene approaches focus on predicting therapy response, which is a black spot of current tests. Promising techniques include the homologous recombination deficiency score, utilization of massive parallel sequencing to identify driver genes, employment of internet-based meta-analysis tools and investigation of miRNA expression signatures. Combination of multiple simultaneous analyses at diagnosis, including classical histopathological diagnostics, monogenic markers, genomic signatures and clinical parameters will most likely bring maximal benefit for patients. As the main driving force behind such genomic tests is the power to achieve cost reduction due to avoiding unnecessary systemic treatment, the future is most likely to hold a further proliferation of such assays.

[Significance of positive surgical margin in radical prostatectomy]. / A pozitív sebészi szél jelentõsége radikális prosztatektómia esetén.

The optimal oncological result of radical prostatectomy (RP) is complete removal of the prostate gland and seminal vesicles with negative surgical margins. Preoperative diagnostic biopsies are examined and reported by the pathologist according to standardized rules. Staging of the disease is based on modern preoperative image analysis, most commonly multiparametric MRI. Pathological assessment and reporting of RP specimens is based on the International Society of Uropathology guidelines issued by the 2009 Consensus Conference. Positive surgical margin (PSM) is reported by the pathologist in approximately 1/3rd of RP cases. PSM increases the risk of biochemical, local and systemic progression. Pseudo-whole mount assessment of these specimens is the basis for radio-pathological correlation, thus providing quality control for preoperative MRI as well as assisting preoperative image analysis, sampling and diagnostic workup.

A meta-analysis of gene expression-based biomarkers predicting outcome after tamoxifen treatment in breast cancer.

To date, three molecular markers (ER, PR, and CYP2D6) have been used in clinical setting to predict the benefit of the anti-estrogen tamoxifen therapy. Our aim was to validate new biomarker candidates predicting response to tamoxifen treatment in breast cancer by evaluating these in a meta-analysis of available transcriptomic datasets with known treatment and follow-up. Biomarker candidates were identified in Pubmed and in the 2007-2012 ASCO and 2011-2012 SABCS abstracts. Breast cancer microarray datasets of endocrine therapy-treated patients were downloaded from GEO and EGA and RNAseq datasets from TCGA. Of the biomarker candidates, only those identified or already validated in a clinical cohort were included. Relapse-free survival (RFS) up to 5 years was used as endpoint in a ROC analysis in the GEO and RNAseq datasets. In the EGA dataset, Kaplan-Meier analysis was performed for overall survival. Statistical significance was set at p < 0.005. The transcriptomic datasets included 665 GEO-based and 1,208 EGA-based patient samples. All together 68 biomarker candidates were identified. Of these, the best performing genes were PGR (AUC = 0.64, p = 2.3E-07), MAPT (AUC = 0.62, p = 7.8E-05), and SLC7A5 (AUC = 0.62, p = 9.2E-05). Further genes significantly correlated to RFS include FOS, TP53, BTG2, HOXB7, DRG1, CXCL10, and TPM4. In the RNAseq dataset, only ERBB2, EDF1, and MAPK1 reached statistical significance. We evaluated tamoxifen-resistance genes in three independent platforms and identified PGR, MAPT, and SLC7A5 as the most promising prognostic biomarkers in tamoxifen treated patients.

The potential prognostic value of connexin 26 and 46 expression in neoadjuvant-treated breast cancer.

BACKGROUND: Several classification systems are available to assess pathological response to neoadjuvant chemotherapy in breast cancer, but reliable biomarkers to predict the efficiency of primary systemic therapy (PST) are still missing. Deregulation of gap junction channel forming connexins (Cx) has been implicated in carcinogenesis and tumour progression through loss of cell cycle control. In this study we correlated Cx expression and cell proliferation with disease survival and pathological response to neoadjuvant chemotherapy in breast cancers using existing classification systems. METHODS: The expression of Cx26, Cx32, Cx43, Cx46 and Ki67 was evaluated in 96 breast cancer patients prior to and after neoadjuvant chemotherapy using duplicate cores in tissue microarrays (TMA). Cx plaques of <1µm were detected with multilayer, multichannel fluorescence digital microscopy. Current classifications to assess residual tumour burden after primary systemic therapy included the EWGBSP, CPS-EG, Miller-Payne, Sataloff and NSABP systems. RESULTS: In our cohort dominated by hormone receptor (ER/PR) positive and HER2 negative cases, only the CPS-EG classification showed prognostic relevance: cases with scores 1-2 had significantly better overall survival (p=0.015) than cases with scores 3-5. Pre-chemotherapy Cx43 expression correlated positively with hormone receptor status both before and after chemotherapy and had a negative correlation with HER2 expression pre-chemotherapy. There was a positive correlation between Cx32 and HER2 expression pre-chemotherapy and between Cx32 and Ki67 expression post-chemotherapy. A negative correlation was found between post-chemotherapy Cx46 and Ki67 expression. Decreased post-chemotherapy Cx26 expression (<5%) statistically correlated with better overall survival (p=0.011). Moderate or higher Cx46 expression (>20%) pre- and post-chemotherapy correlated with significantly better survival in the intermediate prognostic subgroups of EWGBSP TR2b (p(pre-chemo)=0.006; Sataloff TB (p(pre-chemo)=0.005; p(post-chemo)=0.029) and in Miller-Payne G3 (p(pre-chemo)=0.002; p(post-chemo)=0.012) classifications. Pre-chemotherapy, Cx46 expression was the only marker that correlated with overall survival within these subgroups. CONCLUSION: Our results suggest that Cx46 and Cx26 expression in breast cancer may improve the assessment of pathological response and refine intermediate prognostic subgroups of residual tumour classifications used after neoadjuvant chemotherapy.

[Claudins as prognostic factors of breast cancer]. / Claudinok szerepe az emlõrák prognózisának meghatározásában.

Different expression of claudins and E-cadherin has been described in the pathogenesis and progression of breast cancer. Changes in the expression of these junctional molecules have also been described as being of prominent importance in other cancers as well. Thus, we aimed at exploring the potential prognostic relevance of these cell junctional molecules in breast carcinoma cases. Expression of claudin-1, -3, -4, -5, -7, -8, -10, -15, -18 and E-cadherin at mRNA level was evaluated in correlation with survival in publicly available datasets containing expression measurements of 1809 breast cancer patients. Breast cancer tissues of 636 patients were evaluated with tissue microarray technique and immunohistochemical method for claudin-1, -2, -3, -4, -5, -7 and E-cadherin protein expression. In 96 cases lymph node metastases were also subjects of the study. Claudin expression bears prognostic information in itself. Based on bioinformatic data analysis, the meta-gene of claudin-3, -4, -7 and E-cadherin has proved the most powerful in predicting survival. An immunohistochemical protein profile consisting of claudin-2, -4 and E-cadherin was able to predict outcome in the most effective manner in the training set. Combining the overlapping members of the distinct methods resulted in the CC index (consisting of claudin-4 and E-cadherin, a.k.a. CURIO), which was able to accurately predict relapse-free survival in the validation cohort (p=0.029) in a more efficient way than its components. Cox regression analysis including clinicopathological variables and the average CC score showed that in univariate analysis most of them were prognostic but most of them lost independent prognostic value in multivariate analysis except for the CC index, the subtypes defined by immunoprofiling and vascular invasion. On the other hand, the CC index was able to further refine prognosis splitting good vs. poor prognosis patients into two clusters in these subgroups. Evaluation of lymph node metastases has shown that decreased expression of claudin-1 and elevated expression of claudin-4 can predict worse prognosis in breast cancers spreading to the regional lymph nodes. The defined claudin-cadherin index provides additional prognostic information besides the routinely utilized diagnostic approaches and factors. The level of expression of certain claudins can be of prognostic significance in regional lymph node metastases.