Sorafenib represents the first effective targeted therapy for advanced stage hepatocellular carcinoma (HCC); however, adequate patient stratification regarding sorafenib-responsiveness is still missing. Our aim was to analyse the association between the pretreatment microRNA profile of HCC and patient survival under sorafenib treatment. Total RNA was extracted from diagnostic fine-needle aspiration biopsy (FNAB) cytological smears of 20 advanced stage HCC patients collected between June 2008 and July 2012. All patients underwent sorafenib administration after FNA. Clinicopathological and survival data were recorded. Fourteen frequently deregulated miRNAs in HCC (miR-17-5p, miR-18a, miR-21, miR-34a, miR-122, miR-195, miR-210, miR-214, miR-221, miR-222, miR-223, miR-224, miR-140, miR-328) were tested by qRT-PCR. NormFinder software was used to select proper miR (mir-140) as a reference. Satisfactory amount of total RNA was obtained from all the considered samples (mean 10.8 ± 9.3 µg, range 0.2–32.2 µg). Among the analysed miRNAs, high miR-214 expression was associated with smaller tumor size ( p=0.019), whereas high miR-17-5p expression correlated with better Eastern Cooperative Oncology Group performance status ( p=0.003). The survival analysis revealed that high miR-224 expression was associated with increased progression-free and overall survival (PFS p=0.029; OS p=0.012). Pretreatment microRNA profiling, especially miR-224 expression, might serve as an ancillary tool for the better assessment of expected survival rates for patients under sorafenib treatment.

Tight junction proteins, including claudins, are often dysregulated during carcinogenesis and tumor progression. Moreover, the claudin expression pattern usually varies between different tumor entities. We aimed to investigate claudin expression profiles of primary and metastatic liver malignancies. We analyzed claudin-1, -2, -3, -4, and -7 expression by quantitative immunohistochemistry and real-time RT-PCR, respectively. Twenty hepatocellular carcinomas (HCCs) and liver metastases of 20 colorectal adenocarcinomas (CRLMs) and 15 pancreatic adenocarcinomas (PLMs) were studied together with paired surrounding non-tumorous liver samples and 5 normal liver samples. Strong claudin-3 and -7 immunohistochemical positivities were detected in CRLM samples, each with significantly stronger staining when compared with HCC and PLM groups. Claudin-1 protein was found highly expressed in CRLM, in contrast to lower expression in PLM and HCC. CRLMs and PLMs also were strongly positive for claudin-4, while being virtually undetectable in HCC. Claudin-2 showed strong positivity in non-tumorous liver tissue, whereas significantly weaker positivity was observed in all tumors. Differences in mRNA expression were mostly similar to those found by immunohistochemistry. In conclusion, HCC and both CRLM and PLM display distinct claudin expression profiles, which might provide better understanding of the pathobiology of these lesions and might be used for differential diagnosis.

Protein expression is a primary area of interest for routine histological diagnostics and tissue-based research projects, but the limitations of its post-mortem applicability remain largely unclear. On the other hand, tissue specimens obtained during autopsies can provide unique insight into advanced disease states, especially in cancer research. Therefore, we aimed to identify the maximum post-mortem interval (PMI) which is still suitable for characterizing protein expression patterns, to explore organ-specific differences in protein degradation, and to investigate whether certain proteins follow specific degradation kinetics. Therefore, the proteome of human tissue samples obtained during routine autopsies of deceased patients with accurate PMI (6, 12, 18, 24, 48, 72, 96 h) and without specific diseases that significantly affect tissue preservation, from lungs, kidneys and livers, was analyzed by liquid chromatography–tandem mass spectrometry (LC–MS/MS). For the kidney and liver, significant protein degradation became apparent at 48 h. For the lung, the proteome composition was rather static for up to 48 h and substantial protein degradation was detected only at 72 h suggesting that degradation kinetics appear to be organ specific. More detailed analyses suggested that proteins with similar post-mortem kinetics are not primarily shared in their biological functions. The overrepresentation of protein families with analogous structural motifs in the kidney indicates that structural features may be a common factor in determining similar postmortem stability. Our study demonstrates that a longer post-mortem period may have a significant impact on proteome composition, but sampling within 24 h may be appropriate, as degradation is within acceptable limits even in organs with faster autolysis.