Decision Conflicts in Clinical Care during COVID-19: A Multi-Perspective Inquiry.

Background: The early COVID-19-pandemic was characterized by changes in decision making, decision-relevant value systems and the related perception of decisional uncertainties and conflicts resulting in decisional burden and stress. The vulnerability of clinical care professionals to these decisional dilemmas has not been characterized yet. Methods: A cross-sectional questionnaire study (540 patients, 322 physicians and 369 nurses in 11 institutions throughout Germany) was carried out. The inclusion criterion was active involvement in clinical treatment or decision making in oncology or psychiatry during the first year of COVID-19. The questionnaires covered five decision dimensions (conflicts and uncertainty, resources, risk perception, perception of consequences for clinical processes, and the perception of consequences for patients). Data analysis was performed using ANOVA, Pearson rank correlations, and the Chi²-test, and for inferential analysis, nominal logistic regression and tree classification were conducted. Results: Professionals reported changes in clinical management (27.5%) and a higher workload (29.2%), resulting in decisional uncertainty (19.2%) and decisional conflicts (22.7%), with significant differences between professional groups (p < 0.005), including anxiety, depression, loneliness and stress in professional subgroups (p < 0.001). Nominal regression analysis targeting "Decisional Uncertainty" provided a highly significant prediction model (LQ p < 0.001) containing eight variables, and the analysis for "Decisional Conflicts" included six items. The classification rates were 64.4% and 92.7%, respectively. Tree analysis confirmed three levels of determinants. Conclusions: Decisional uncertainty and conflicts during the COVID-19 pandemic were independent of the actual pandemic load. Vulnerable professional groups for the perception of a high number of decisional dilemmas were characterized by individual perception and the psychological framework. Coping and management strategies should target vulnerability, enable the handling of the individual perception of decisional dilemmas and ensure information availability and specific support for younger professionals.

Differences in Stakeholders' Perception of the Impact of COVID-19 on Clinical Care and Decision-Making.

Background: Pandemics are related to changes in clinical management. Factors that are associated with individual perceptions of related risks and decision-making processes focused on prevention and vaccination, but perceptions of other healthcare consequences are less investigated. Different perceptions of patients, nurses, and physicians on consequences regarding clinical management, decisional criteria, and burden were compared. Study Design: Cross-sectional OnCoVID questionnaire studies. Methods: Data that involved 1231 patients, physicians, and nurses from 11 German institutions that were actively involved in clinical treatment or decision-making in oncology or psychiatry were collected. Multivariate statistical approaches were used to analyze the stakeholder comparisons. Results: A total of 29.2% of professionals reported extensive changes in workload. Professionals in psychiatry returned severe impact of pandemic on all major aspects of their clinical care, but less changes were reported in oncology (p < 0.001). Both patient groups reported much lower recognition of treatment modifications and consequences for their own care. Decisional and pandemic burden was intensively attributed from professionals towards patients, but less in the opposite direction. Conclusions: All of the groups share concerns about the impact of the COVID-19 pandemic on healthcare management and clinical processes, but to very different extent. The perception of changes is dissociated in projection towards other stakeholders. Specific awareness should avoid the dissociated impact perception between patients and professionals potentially resulting in impaired shared decision-making.

A pyramid model to describe changing decision making under high uncertainty during the COVID-19 pandemic.

The COVID-19 pandemic put healthcare systems, hospitals and medical personal under great pressure. Based on observations in Germany, we theorise a general model of rapid decision-making that makes sense of the growing complexity, risks and impact of missing evidence. While adapting decision-making algorithms, management, physicians, nurses and other healthcare professionals had to move into uncharted territory while addressing practical challenges and resolving normative (legal and ethical) conflicts. During the pandemic, this resulted in decisional uncertainties for healthcare professionals. We propose an idealised risk-based model that anticipates these shifts in decision-making procedures and underlying value frameworks. The double pyramid model visualises foreseeable procedural adaptations. This does not only help practitioners to secure operational continuity in a crisis but also contributes to improving the conceptual underpinnings of the resilience of healthcare during the next pandemic or similar future crises situations.

Economic Perspective of Cancer Care and Its Consequences for Vulnerable Groups.

Within healthcare systems in all countries, vulnerable groups of patients can be identified and are characterized by the reduced utilization of available healthcare. Many different reasons can be attributed to this observation, summarized as implementation barriers involving acceptance, accessibility, affordability, acceptability and quality of care. For many patients, cancer care is specifically associated with the occurrence of vulnerability due to the complex disease, very different target groups and delivery situations (from prevention to palliative care) as well as cost-intensive care. Sociodemographic factors, such as educational level, rural/remote location and income, are known determinants for these vulnerable groups. However, different forms of financial burdens likely influence this vulnerability in cancer care delivery in a distinct manner. In a narrative review, these socioeconomic challenges are summarized regarding their occurrence and consequences to current cancer care. Overall, besides direct costs such as for treatment, many facets of indirect costs including survivorship costs for the cancer patients and their social environment need to be considered regarding the impact on vulnerability, treatment compliance and abundance. In addition, individual cancer-related financial burden might also affect the society due to the loss of productivity and workforce availability. Healthcare providers are requested to address this vulnerability during the treatment of cancer patients.

Population-based study on coverage and healthcare processes for cancer during implementation of national healthcare insurance in Indonesia.

Background: A national healthcare insurance has been implemented in Indonesia since 2014. Although cancer care currently represents a smaller part of the healthcare support, the demographic development will lead to a rapid growth of the population within age groups at cancer risk. This requires strategic and developmental planning of cancer care resources. Based on data of the national healthcare insurance, current cancer care processes and their determinants were evaluated. Methods: Nationwide reimbursement data as well as demographic, economic and healthcare infrastructure data were used for the study. Poor and underserved population was stratified according to the national classification system. Availability of healthcare resources was evaluated at provincial level. Cancer care usage was analysed applying descriptive and multivariate statistical approaches (regression, cluster analysis, tree classification). Findings: Cancer care was provided in primary care (PHC) for 2.6/1000 and advanced care (AHC) for 4.8/1000 participants within the family-based membership structure. Regression analysis revealed human resource availability in rural/remote areas a determinant for cancer PHC. Cancer care in AHC was determined by PHC provided by general practitioners (GP), availability of AHC infrastructure (Class A & B hospital beds) and treatment migration between provinces. Tree classification confirmed predominant roles of GP, AHC infrastructure and referral between cancer care provider levels. Interpretation: Cancer care will gain much higher importance for the Indonesian healthcare system within the next decade. Infrastructure, human resources, and process development should avoid rising overload of cancer care delivery by targeting reduction of treatment migration (availability of GPs in rural/remote provinces), improvement of referral systems (effective clinical selection processes and back-referral) and AHC cancer care structures (regional distribution of Class A & B hospitals). Funding: This project was supported by grants from Centre for Research, Publication, and Community Development Muhammadiyah University of Yogyakarta (SW, ID), and data provision by BPJS Indonesia.

Availability and Accessibility of Primary Care for the Remote, Rural, and Poor Population of Indonesia.

Background: Adopting Universal Health Coverage for implementation of a national health insurance system [Jaminan Kesehatan Nasional (JKN)/Badan Penyelenggara Jaminan Sosial or the Indonesian National Social Health Insurance Scheme (BPJS)] targets the 255 million population of Indonesia. The availability, accessibility, and acceptance of healthcare services are the most important challenges during implementation. Referral behavior and the utilization of primary care structures for underserved (rural/remote regions) populations are key guiding elements. In this study, we provided the first assessment of BPJS implementation and its resulting implications for healthcare delivery based on the entire insurance dataset for the initial period of implementation, specifically focusing on poor and remote populations. Methods: Demographic, economic, and healthcare infrastructure information was obtained from public resources. Data about the JKN membership structure, performance information, and reimbursement were provided by the BPJS national head office. For analysis, an ANOVA was used to compare reimbursement indexes for primary healthcare (PHC) and advanced healthcare (AHC). The usage of primary care resources was analyzed by comparing clustered provinces and utilization indices differentiating poor [Penerima Bantuan Iur (PBI) membership] and non-poor populations (non-PBI). Factorial and canonical discrimination analyses were applied to identify the determinants of PHC structures. Results: Remote regions cover 27.8% of districts/municipalities. The distribution of the poor population and PBI members were highly correlated (r2 > 0.8; p < 0.001). Three clusters of provinces [remote high-poor (N = 13), remote low-poor (N = 15), non-remote (N = 5)] were identified. A discrimination analysis enabled the >82% correct cluster classification of infrastructure and human resources of health (HRH)-related factors. Standardized HRH (nurses and general practitioners [GP]) availability showed significant differences between clusters (p < 0.01), whereas the availability of hospital beds was weakly correlated. The usage of PHC was ~2-fold of AHC, while non-PBI members utilized AHC 4- to 5-fold more frequently than PBI members. Referral indices (r2 = 0.94; p < 0.001) for PBI, non-PBI, and AHC utilization rates (r2 = 0.53; p < 0.001) were highly correlated. Conclusion: Human resources of health availability were intensively related to the extent of the remote population but not the numbers of the poor population. The access points of PHC were mainly used by the poor population and in remote regions, whereas other population groups (non-PBI and non-Remote) preferred direct access to AHC. Guiding referral and the utilization of primary care will be key success factors for the effective and efficient usage of available healthcare infrastructures and the achievement of universal health coverage in Indonesia. The short-term development of JKN was recommended, with a focus on guiding referral behavior, especially in remote regions and for non-PBI members.

SERPINB5 Promoter Hypomethylation Differentiates Pancreatic Ductal Adenocarcinoma From Pancreatitis.

OBJECTIVES: The diagnosis of pancreatic ductal adenocarcinoma (PDAC) is challenging in the setting of pancreatitis. We investigated SERPINB5 for its impact on PDAC tumor biology and its use as a diagnostic marker for PDAC in the setting of pancreatitis. METHODS: Patient samples from PDAC primary tumors, PDAC lymph node metastases, and pancreatitis were investigated for SERPINB5 promoter methylation by methylation-specific polymerase chain reaction (PCR). Six PDAC cell lines were investigated in vitro and in vivo using an orthotopic mouse model to generate primary tumors and metastases. SERPINB5 mRNA expression, protein expression, and promoter methylation were determined by quantitative reverse transcriptase-PCR, methylation-specific PCR, and Western Blot. RESULTS: In patient samples, detection of an unmethylated SERPINB5 promoter differentiated pancreatitis from PDAC with a sensitivity of 57% and a specificity of 95% (P < 0.001). SERPINB5 was not deregulated in primary tumors versus metastases, but primary tumors without SERPINB5 protein expression had significantly reduced viability (P = 0.02). CONCLUSIONS: SERPINB5 seems to assume an oncogenic role in PDAC. In clinical samples, detection of unmethylated SERPINB5 was a specific marker for PDAC even in the context of pancreatitis and may provide the basis for a liquid biopsy option to detect PDAC.

Circulating microRNAs: emerging biomarkers for diagnosis and prognosis in patients with gastrointestinal cancers.

To identify novel non-invasive biomarkers for improved detection, risk assessment and prognostic evaluation of cancer, expression profiles of circulating microRNAs are currently under evaluation. Circulating microRNAs are highly promising candidates in this context, as they present some key characteristics for cancer biomarkers: they are tissue-specific with reproducible expression and consistency among individuals from the same species, they are potentially derived directly from the tumour and therefore might correlate with tumour progression and recurrence, and they are bound to proteins or contained in subcellular particles, such as microvesicles or exosomes, making them highly stable and resistant to degradation. The present review highlights the origin of circulating microRNAs, their stability in blood samples, and techniques to isolate exosomal microRNAs, and then addresses the current evidence supporting potential clinical applications of circulating miRNAs for diagnostic and prognostic purposes.

MicroRNA signatures in chemotherapy resistant esophageal cancer cell lines.

AIM: To investigate expression of microRNA (miRNA) and potential targets in chemotherapy resistant esophageal cancer cell lines. METHODS: An in-vitro model of acquired chemotherapy resistance in esophageal adeno- (EAC) and squamous cell carcinoma (ESCC) cells was used, and microRNA expression profiles for cisplatin or 5-fluorouracil (5-FU) resistant variants vs chemotherapy sensitive controls were compared using microarray and quantitative real-time polymerase chain reaction (PCR). The expression of chemotherapy-relevant genes potentially targeted by the dysregulated microRNAs in the chemotherapy resistant variants was also evaluated. RESULTS: Chemotherapy resistant sublines were found to have specific miRNA signatures, and these miRNA signatures were different for the cisplatin vs 5-FU resistant cells from the same tumor cell line, and also for EAC vs ESCC cells with resistance to the same specific chemotherapy agent. Amongst others, miR-27b-3p, miR-193b-3p, miR-192-5p, miR-378 a-3p, miR-125a-5p and miR-18a-3p were dysregulated, consistent with negative posttranscriptional control of KRAS, TYMS, ABCC3, CBL-B and ERBB2 expression via these miRNAs. CONCLUSION: The current study supports the hypothesis that microRNA expression has an impact on chemotherapy resistance in esophageal cancer.

MicroRNAs: promising chemoresistance biomarkers in gastric cancer with diagnostic and therapeutic potential.

Gastric cancer (GC) is the fourth most common cancer worldwide and ranks second in global cancer mortality statistics. Perioperative chemotherapy plays an important role in the management and treatment of advanced stage disease. However, response to chemotherapy varies widely, with some patients presenting no or only minor response to treatment. Hence, chemotherapy resistance is a major clinical problem that impacts on outcome. Unfortunately, to date there are no reliable biomarkers available that predict response to chemotherapy before the start of the treatment, or that allow modification of chemotherapy resistance. MicroRNAs (miRNAs) could provide an answer to this problem. miRNAs are involved in the initiation and progression of a variety of cancer types, and there is evidence that miRNAs impact on resistance towards chemotherapeutic drugs as well. This current review aims to provide an overview about the potential clinical applicability of miRNAs as biomarkers for chemoresistance in GC. The authors focus in this context on the potential of miRNAs to predict sensitivity towards different chemotherapeutics, and on the potential of miRNAs to modulate sensitivity and resistance towards chemotherapy in GC.

Detection of different virus-specific CD8+ T cells after kidney transplantation.

BACKGROUND: The early diagnosis of viral reactivation after kidney transplantation (KTX) is an unsolved problem. Survey of virus-specific T-cell responses may identify patients at risk for viral reactivation. We therefore quantified virus-specific CD8+ T-cells to evaluate their potential predictive value for viral reactivation and infection in KTX patients. METHODS: We quantified the virus-specific responses of CD8+ T-cells for CMV, EBV, HPV and HHV in 23 patients undergoing KTX for 6 mo after transplantation. We enumerated T-cells for 36 virus-specific binding peptides and five different human leukocyte antigen (HLA) alleles through the binding of Class I iTAg major histocompatibility complex (MHC) tetramers. The patients' pre-operative serologic status for CMV and CMV-specific CD8+ T-cell numbers were correlated with one another (p=0.0046). RESULTS: Three patients had clinical CMV disease and all three remained or became CMV-tetramer-positive for at least one HLA allele during follow-up. Three of the four patients with viral infections caused by or reactivations of viruses other than CMV were initially negative for CMV-specific CD8+ T-cells but became CMV-positive. Most of the patients who were initially CMV-tetramer positive also had tetramer-positive T-cells specific for Epstein-Barr virus (EBV); human papillomavirus (HPV)-6b, -11, -16, or -18; or human herpesvirus (HHV)-8. All of the patients who developed viral disease other than that caused by CMV remained or became positive for at least one binding peptide that was specific for a virus not directly related to the clinical features of a viral disease. CONCLUSION: Patients who were positive for any virus had a significantly greater risk of developing complications of viral disease during the 6-mo follow-up period in the study (p=0.026), suggesting a general susceptibility to viral reactivation. The evaluation of virus-specific CD8+ T-cells may prospectively help to identify patients at risk for viral reactivation after KTX.

Epigenetic regulation and role of metastasis suppressor genes in pancreatic ductal adenocarcinoma.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is distinguished by rapid dissemination. Thus, genetic and/or epigenetic deregulation of metastasis suppressor genes (MSG) is a likely event during early pancreatic carcinogenesis and a potential diagnostic marker for the disease. We investigated 9 known MSGs for their role in the dissemination of PDAC and examined their promoters for methylation and its use in PDAC detection. METHODS: MRNA expression of 9 MSGs was determined in 18 PDAC cell lines by quantitative RT-PCR and promoter methylation was analyzed by Methylation Specific PCR and validated by Bisulfite Sequencing PCR. These data were compared to the cell lines' in vivo metastatic and invasive potential that had been previously established. Statistical analysis was performed with SPSS 20 using 2-tailed Spearman's correlation with P < 0.05 being considered significant. RESULTS: Complete downregulation of MSG-mRNA expression in PDAC cell lines vs. normal pancreatic RNA occurred in only 1 of 9 investigated genes. 3 MSGs (CDH1, TIMP3 and KiSS-1) were significantly methylated. Methylation only correlated to loss of mRNA expression in CDH1 (P < 0.05). Bisulfite Sequencing PCR showed distinct methylation patterns, termed constant and variable methylation, which could distinguish methylation-regulated from non methylation-regulated genes. Higher MSG mRNA-expression did not correlate to less aggressive PDAC-phenotypes (P > 0.14). CONCLUSIONS: Genes with metastasis suppressing functions in other tumor entities did not show evidence of assuming the same role in PDAC. Inactivation of MSGs by promoter methylation was an infrequent event and unsuitable as a diagnostic marker of PDAC. A distinct methylation pattern was identified, that resulted in reduced mRNA expression in all cases. Thus, constant methylation patterns could predict regulatory significance of a promoter's methylation prior to expression analysis and hence present an additional tool during target gene selection.

Blended learning in surgery using the Inmedea Simulator.

BACKGROUND: Recently, medical education in surgery has experienced several modifications. We have implemented a blended learning module in our teaching curriculum to evaluate its effectiveness, applicability, and acceptance in surgical education. METHODS: In this prospective study, the traditional face-to-face learning of our teaching curriculum for fourth-year medical students (n = 116) was augmented by the Inmedea Simulator, a web-based E-learning system, with six virtual patient cases. Student results were documented by the system and learning success was determined by comparing patient cases with comparable diseases (second and sixth case). The acceptance among the students was evaluated with a questionnaire. RESULTS: After using the Inmedea Simulator, correct diagnoses were found significantly (P < 0.05) more often, while an incomplete diagnostic was seen significantly (P < 0.05) less often. Significant overall improvement (P < 0.05) was seen in sixth case (62.3 ± 5.6 %) vs. second case (53.9 ± 5.6 %). The questionnaire revealed that our students enjoyed the surgical seminar (score 2.1 ± 1.5) and preferred blended learning (score 2.5 ± 1.2) to conventional teaching. CONCLUSION: The blended learning approach using the Inmedea Simulator was highly appreciated by our medical students and resulted in a significant learning success. Blended learning appears to be a suitable tool to complement traditional teaching in surgery.

Mimicry of human sepsis in a rat model--prospects and limitations.

BACKGROUND: Sepsis and systemic inflammatory response syndrome (SIRS) continue to represent critical conditions with persistently high mortality and continue to need experimental and clinical research. We developed a rat model of gram-positive and gram-negative SIRS/sepsis with in vivo visualization of the pulmonary microcirculation to evaluate the optimal dosage and application path for SIRS/sepsis-inducing agents. METHODS: Male Sprague-Dawley rats (n = 8 per group) were assigned to control, lipopolysaccharide (LPS), alphatoxin, or living Staphylococcus aureus (strain 68/50) groups. SIRS/sepsis was induced by intraperitoneal injection of the differing agents. The onset of SIRS was determined through human sepsis parameters and fluorescence video microscopy-based measurement of platelet and leukocyte velocity within the pulmonary vascular system (injection of 5 × 10(6) calcein AM-labeled nonactivated platelets; leukocytes labeled in vivo by rhodamine). RESULTS: The optimal dosage to induce SIRS was 30 mg/250 g body weight for LPS (bolus injection) and 60 µg/250 g body weight for alphatoxin (2 h continuous perfusion). Sepsis was not achieved by injection of living S. aureus. The onset of SIRS was seen after 2-5 h for LPS and after 2-4 h for alphatoxin after intraperitoneal administration with a significantly increased heart rate, breathing rate, and body temperature (P < 0.05) and significantly decreased cell velocity (P < 0.05). CONCLUSION: Our study represents an effective approach for a gram-negative (LPS) and gram-positive (alphatoxin) SIRS model to mimic human sepsis. Human sepsis-based criteria were used to define SIRS in our rats to achieve an optimal analogy for the human system. In our model, higher dosages were needed for SIRS induction than have been previously reported. The resulting, considerable heterogeneity of current SIRS-inducing models suggests that additional studies in this field are required to define standard procedures.

MicroRNAs in brain tumors : a new diagnostic and therapeutic perspective?

MicroRNAs (miRNAs, miRs) are small, non-coding RNA molecules that regulate gene expression posttranscriptionally. Although discovered only recently in the early 1990s, this relatively new group of molecules has already been proven to play an essential role in the regulation of many physiological and, most importantly, pathological processes such as cancer. A large number of miRNAs has been found to be involved in the pathogenesis of various human malignancies, and expression of miRNAs has been demonstrated to correlate with clinic and outcome. In tumors of the brain, however, the investigations on the role of miRNAs are still in its infancy, and most publications refer to the most common primary brain tumor, the glioma (mostly glioblastoma). But despite the fact that there is only limited data available so far, these first results are very promising and implicate that miRNAs might open a new perspective for diagnostics and treatment of this disease. With this review article, we aim to provide a short overview of miRNA biogenesis, function and regulation in general. Thereafter, the clinical relevant data about miRNAs in the two most common primary malignant brain tumors in adults (glioblastomas) and children (medulloblastomas) will be summarized, and their potential impact on diagnostics and treatment will be highlighted.

Chemotherapy-induced modification of microRNA expression in esophageal cancer.

Neoadjuvant chemotherapy is often used in the treatment of advanced esophageal cancer. In this study, we determined the impact of chemotherapy on microRNA (miRNA) expression in esophageal cancer cells, and whether identified changes might have biological relevance. Two esophageal carcinoma cell lines (one adenocarcinoma and one squamous cell carcinoma) were treated with cisplatin or 5-fluorouracil for 24 or 72 h. RNA was extracted from cells following 24-h treatment, and used for microarray studies. Promising miRNA candidates were selected for RT-PCR validation. Target prediction using TargetScan, combined with bioinformatic analysis (Ingenuity Pathway Analysis, IPA), was performed to evaluate the implications of the altered miRNA expression. Thirteen miRNAs (miR-199a-5p, miR-302f, miR-320a, miR-342-3p, miR-425, miR-455-3p, miR-486-3p, miR-519c-5p, miR-548d-5p, miR-617, miR-758, miR-766, miR-1286) were deregulated after 24- and/or 72-h treatment in both cell lines, and most miRNAs presented similar expression changes after short- or long-term exposure. IPA revealed that the major networks which incorporate the predicted targets, include functions such as 'Cell death', 'Cell cycle', 'Cellular growth and proliferation', 'DNA replication, recombination, and repair' and 'Drug metabolism'. Cisplatin or 5-fluorouracil alter miRNA expression in esophageal cancer cells. IPA suggests that these miRNAs may target molecular pathways involved in cell survival after chemotherapy.

Epigenetic markers for chemosensitivity and chemoresistance in pancreatic cancer--a review.

Adjuvant first-line gemcitabine monochemotherapy presents a standard treatment for patients with advanced pancreatic adenocarcinoma and improves overall survival in chemosensitive patients. Nonetheless, 6-month progression-free survival remains below 15%, despite interdisciplinary approaches. The success of gemcitabine treatment is disappointing and-in the absence of reliable tumor markers--challenging to quantify. Epigenetic alterations have been recently identified to take on important roles in cancer development and possibly cancer treatment. In this context, microRNAs are becoming increasingly acknowledged as useful biomarkers for classifying cancers and providing information on their chemo- and radiosensitivity. This review illustrates the potential of genetic and epigenetic markers in the prediction of chemosensitivity in pancreatic cancer patients and in the monitoring of their response rates to adjuvant therapy.

Mir-148a improves response to chemotherapy in sensitive and resistant oesophageal adenocarcinoma and squamous cell carcinoma cells.

BACKGROUND: Response to chemotherapy varies widely in patients with advanced oesophageal cancer. We investigated the impact of manipulating certain microRNAs on response to cisplatin and 5-fluorouracil (5-FU) in oesophageal cancer cells. METHODS: Cisplatin-/5-fluorouracil-resistant oesophageal squamous cell carcinoma (SCC) and adenocarcinoma (EAC) cell lines were established, and the impact of ectopic upregulation of miR-106a and miR-148a on response to both drugs was assessed. RESULTS: The impact of miR-106a-upregulation was inconsistent. Upregulation was followed by reduced sensitivity to cisplatin in chemotherapy-sensitive EAC cells (cell survival, +8.7 ± 0.8%; p = 0.003) and an improved response to 5-FU in cisplatin-resistant EAC cells (cell survival, -6.4 ± 2.5%; p = 0.011). MiR-148a upregulation significantly increased sensitivity to chemotherapy in seven out of ten cell lines, represented by a decrease in cell viability of 22.6 ± 7.9% to 50.5 ± 10.6% after cisplatin (p ≤ 0.014) and 6.0 ± 0.8% to 15.0 ± 4.1% after 5-FU treatment (p ≤ 0.012). The only cell lines in which miR-148a upregulation had no effect were cisplatin-resistant EAC exposed to cisplatin and 5-FU-sensitive and 5-FU-resistant SCC cells exposed to 5-FU. CONCLUSION: MiR-148a sensitized chemotherapy-sensitive oesophageal cancer cell lines to cisplatin and, to a lesser extent, to 5-flurouracil and attenuated resistance in chemotherapy-resistant variants. Further experimental and clinical studies to investigate the exact mechanisms involved are warranted.

Analyzing miRNAs in ductal adenocarcinomas of the pancreas.

BACKGROUND: MicroRNAs (miRNAs) have gained attention as an epigenetic component involved in the development of pancreatic ductal adenocarcinoma (PDAC). Several methods for miRNA profiling are in common use, but the validity of these methods is not defined. The aim of this study was to define the optimal method for miRNA detection in PDAC. METHODS: miRNA expression was determined using different and partially redundant methods (miRNA microarray, TaqMan low density array (TLDA), single tube quantitative RT-PCR). The data from different methods were statistically evaluated and tested for intermethodic consistency and reliability of the results. Finally, the miRNA expression status and the cell lines' ability to metastasize were correlated. RESULTS: Comparing low and high metastatic cells, miRNA-microarrays identified fewer differentially expressed and only upregulated miRNAs (n=27; 27 up-regulated) compared with TLDAs (n=54; 19 up- and 35 down-regulated). Evaluating miRNAs that target tumor suppressor genes, expression of all single tube quantitative real-time reverse transcriptase PCR (qRT-PCR) validated miRNAs was detected to be significantly altered in TLDA analysis (100%). MiRNA microarrays detected only 25% of qRT-PCR validated miRNAs. Furthermore, results from TLDA analysis correlated well with data from qRT-PCR and presented ΔΔCt values from 3.5±1.86 (range 0.8-5.62) compared with 3.74±1.86 (range 0.78-5.95) in qRT-PCR. CONCLUSION: Notable differences comparing data obtained from different screening methods were found. While TLDA and qRT-PCR correlated well in quantity and quality of the measured miRNAs, several tumor suppressor gene targeting and down-regulated miRNAs were not detected by miRNA-microarrays. This heterogeneity shows that care must be exercised when comparing results from different methods in PDAC.

MiRNAs and their association with locoregional staging and survival following surgery for esophageal carcinoma.

BACKGROUND: Prognostic and staging information for esophageal cancer impacts clinical decision making. miRNAs, a newly discovered class of biomarkers and their expression might add additional information relevant to this. In this study we evaluated the expression of selected miRNAs and their relationship to tumor stage and survival in patients with locally advanced tumors following esophagectomy. MATERIALS AND METHODS: A total of 43 individuals undergoing esophagectomy (without neoadjuvant therapy) for locally advanced but not metastatic (pT2/3; pN0/1) disease (22 adenocarcinoma [EAC], 21 squamous cell carcinoma [SCC]) were included in this study. Perioperative clinical and survival data were collected and managed on a database. The expression of miR-21, miR-106a, miR-148a, miR-205 in formalin-fixed paraffin-embedded specimens was evaluated by TaqMan qPCR assays. Expression was compared with clinicopathological features of the cancers and outcome. RESULTS: In EAC, miR-148a expression levels were inversely associated with cancer differentiation. miR-21 expression levels were higher in SCC if distant lymph node metastases were present. miR-148a levels were lower when EAC was more proximally located, and miR-21 levels were lower when SCC was more proximal. miR-106a and miR-148a were lower in patients with SCC who developed recurrent disease or had a tumor-related death. CONCLUSIONS: In patients with locally advanced esophageal squamous cell carcinoma, but not adenocarcinoma, alterations in the expression of miR-21 correlate with tumor location and lymph node status. Furthermore, miR-106a and miR-148a expression correlates with disease recurrence and tumor-related mortality. miRNA markers might inform the initial assessment of these patients, and predict those at higher risk of postsurgical recurrence.