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INTRODUCTION: Menopause is a normal developmental stage in a woman's life marking the permanent cessation of menstruation. Periodontitis and osteoporosis are noteworthy health concerns in post-menopausal women. Calprotectin is an inflammatory biomarker for precise diagnosis of periodontal disease. MATERIALS AND METHODS: This study was performed to evaluate the variations in salivary calprotectin levels and bone mineral density in post-menopausal women with and without chronic periodontitis. The study included 24 post-menopausal women aged 45-57 years and was divided into group 1 (12 post-menopausal women without chronic periodontitis) and group 2 (12 post-menopausal women with chronic periodontitis). Unstimulated salivary samples, panoramic radiographs and clinical examination were performed. RESULTS: The collected samples were combined with CALPRO antibody with horseradish peroxide (HRP) that results in the formation of antigen-antibody complex. Tetramethylbenzidine (TMB) solution was added that turned blue. Colour change was measured at 450nm. A human ELISA kit was used. Data collected were sent for statistical analysis. DISCUSSION: There was a statistically significant difference in salivary calprotectin levels between groups 1 and 2 (P = 0.016) and no statistical difference in mean bone mineral density levels between the two groups (P = 0.235). A positive correlation was seen between salivary calprotectin levels and bone mineral density in group 2 (P = 0.013).

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Progressive organ-level disorders in the human body are often correlated with diseases in other body parts. For instance, liver diseases can be linked with heart issues, while cancers can be linked with brain diseases (or psychological conditions). Defining such correlations is a complex task, and existing deep learning models that perform this task either showcase lower accuracy or are non-comprehensive when applied to real-time scenarios. To overcome these issues, this text proposes design of an augmented bioinspired deep learning-based multidomain body parameter analysis via heterogeneous correlative body organ analysis. The proposed model initially collects temporal and spatial data scans for different body parts and uses a multidomain feature extraction engine to convert these scans into vector sets. These vectors are processed by a Bacterial Foraging Optimizer (BFO), which assists in identification of highly variant feature sets, which are individually classified into different disease categories. A fusion of Inception Net, XCeption Net, and GoogLeNet Models is used to perform these classifications. The classified categories are linked with other disease types via temporal analysis of blood reports. The temporal analysis engine uses Modified Analytical Hierarchical Processing (MAHP) Model for calculating inter-organ disease dependency probabilities. Based on these probabilities, the model is able to generate a patient-level correlation map, which can be used by clinical experts to suggest remedial treatments, due to which the model was able to identify correlations between brain disorders and kidneys, heart diseases and lungs, heart diseases and liver, brain diseases and different types of cancers with high efficiency when evaluated under clinical scenarios. When validated on MITBIH, DEAP, CT Kidney, RIDER, and PLCO data samples, it was observed that the proposed model was capable of improving accuracy of correlation by 8.5%, while improving precision and recall by 3.2% when compared with existing correlation models under similar clinical scenarios.

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Tumor is the major cause of death all around the world in recent days. Early detection and prediction of a cancer type are important for a patient's well-being. Functional genomic data has recently been used in the effective and early detection of cancer. According to previous research, the use of microarray data in cancer prediction has evidenced two main problems as high dimensionality and limited sample size. Several researchers have used numerous statistical and machine learning-based methods to classify cancer types but still, limitations are there which makes cancer classification a difficult job. Deep Learning (DL) and Convolutional Neural Networks (CNN) have been proven with effective analyses of unstructured data including gene expression data. In the proposed method gene expression data for five types of cancer is collected from The Cancer Genome Atlas (TCGA). Prominent features are selected using a hybrid Particle Swarm Optimization (PSO) and Random Forest (RF) algorithm followed by the use of Principal Component Analysis (PCA) for dimensionality reduction. Finally, for classification blend of Convolutional Neural Network (CNN) and Bi-directional Long Short Term Memory (Bi-LSTM) is used to predict the target type of cancer. Experimental results demonstrate that accuracy of the proposed method is 96.89%. As compared to existing work, our method outperformed with better results.

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Motivated by our previous study on Sm3+ ions as thermoluminescence (TL) sensitizers to the BaO-ZnO-LiF-B2 O3 -Yb2 O3 glass system, in the current study we examined the effect of Er3+ ion co-doping on the TL characteristics of this glass system. The 4f-4f electronic transitions of the Er3+ and Yb3+ ions were confirmed via the optical absorption spectrum. Notably, the use of Yb3+ -Er3+ ions failed to improve the TL intensity, sensitivity, and trap density. However, they enabled the glass system to function as an activator-quencher system. The linearity range and effective atomic number remained unaffected after co-doping. In addition, the problem of anomalous fading caused a remnant signal of just 58% after a week of storage of the Yb3+ monodoped glass. This was resolved by the optimum co-doping of Er3+ ions to achieve an 89% signal. The co-doping of Er3+ ions to the BaO-ZnO-LiF-B2 O3 -Yb2 O3 glass system regulated its thermal stability and therefore supplemented its potential for radiation monitoring in food processing and retrospective dosimetry.

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Pediatric epilepsy comprises chronic neurological disorders characterized by recurrent seizures. Sodium valproate is one of the common antiseizure medications used for treatment. Glucuronide conjugation is the major metabolic pathway of sodium valproate, carried out by the enzyme uridine 5'-diphosphate (UDP) glucuronosyl transferase (UGT) whose gene polymorphisms may alter the clinical outcome. The objective of this study was to assess the association between UGT1A6 genetic polymorphism and clinical outcome in terms of efficacy and tolerability in pediatric epileptic patients on sodium valproate monotherapy. Pediatric epileptic patients (n=65) aged 2-18 years receiving sodium valproate monotherapy for the past one month were included. Genetic polymorphism patterns of UGT1A6 (T19G, A541G, A552C) were evaluated by PCR-RFLP. Clinical outcome was seizure control during the 6 months observation period. Tolerability was measured by estimating the hepatic, renal, and other lab parameters. Out of 65 patients, TT (40%), TG (57%), and GG (3%) patterns were observed in UGT1A6 (T19G) gene, AA (51%), AG (40%), and GG (9%) in (A541G) gene, and AA (43%), AC (43%), and CC (14%) in (A552C) gene. No statistical difference in clinical outcome was found for different UGT1A6 genetic polymorphism patterns. We concluded that different patterns of UGT1A6 genetic polymorphism were not associated with the clinical outcome of sodium valproate in terms of efficacy and tolerability. Sodium valproate was well-tolerated among pediatric patients with epilepsy and can be used as an effective antiseizure medication.

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Pediatric epilepsy comprises chronic neurological disorders characterized by recurrent seizures. Sodium valproate is one of the common antiseizure medications used for treatment. Glucuronide conjugation is the major metabolic pathway of sodium valproate, carried out by the enzyme uridine 5′-diphosphate (UDP) glucuronosyl transferase (UGT) whose gene polymorphisms may alter the clinical outcome. The objective of this study was to assess the association between UGT1A6 genetic polymorphism and clinical outcome in terms of efficacy and tolerability in pediatric epileptic patients on sodium valproate monotherapy. Pediatric epileptic patients (n=65) aged 2-18 years receiving sodium valproate monotherapy for the past one month were included. Genetic polymorphism patterns of UGT1A6 (T19G, A541G, A552C) were evaluated by PCR-RFLP. Clinical outcome was seizure control during the 6 months observation period. Tolerability was measured by estimating the hepatic, renal, and other lab parameters. Out of 65 patients, TT (40%), TG (57%), and GG (3%) patterns were observed in UGT1A6 (T19G) gene, AA (51%), AG (40%), and GG (9%) in (A541G) gene, and AA (43%), AC (43%), and CC (14%) in (A552C) gene. No statistical difference in clinical outcome was found for different UGT1A6 genetic polymorphism patterns. We concluded that different patterns of UGT1A6 genetic polymorphism were not associated with the clinical outcome of sodium valproate in terms of efficacy and tolerability. Sodium valproate was well-tolerated among pediatric patients with epilepsy and can be used as an effective antiseizure medication.

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OBJECTIVE: To describe the characteristics and birth outcomes of women with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection as community spread in New York City was detected in March 2020. METHODS: We performed a prospective cohort study of pregnant women with laboratory-confirmed SARS-CoV-2 infection who gave birth from March 13 to April 12, 2020, identified at five New York City medical centers. Demographic and clinical data from delivery hospitalization records were collected, and follow-up was completed on April 20, 2020. RESULTS: Among this cohort (241 women), using evolving criteria for testing, 61.4% of women were asymptomatic for coronavirus disease 2019 (COVID-19) at the time of admission. Throughout the delivery hospitalization, 26.5% of women met World Health Organization criteria for mild COVID-19, 26.1% for severe, and 5% for critical. Cesarean birth was the mode of delivery for 52.4% of women with severe and 91.7% with critical COVID-19. The singleton preterm birth rate was 14.6%. Admission to the intensive care unit was reported for 17 women (7.1%), and nine (3.7%) were intubated during their delivery hospitalization. There were no maternal deaths. Body mass index (BMI) 30 or higher was associated with COVID-19 severity (P=.001). Nearly all newborns tested negative for SARS-CoV-2 infection immediately after birth (97.5%). CONCLUSION: During the first month of the SARS-CoV-2 outbreak in New York City and with evolving testing criteria, most women with laboratory-confirmed infection admitted for delivery did not have symptoms of COVID-19. Almost one third of women who were asymptomatic on admission became symptomatic during their delivery hospitalization. Obesity was associated with COVID-19 severity. Disease severity was associated with higher rates of cesarean and preterm birth.

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OBJECTIVE: Intussusception has been linked with rotavirus vaccine (RVV) as a rare adverse reaction. In view of limited background data on intussusception in India and in preparation for RVV introduction, a surveillance network was established to document the epidemiology of intussusception cases in Indian children. METHODS: Intussusception in children 2-23 months were documented at 19 nationally representative sentinel hospitals through a retrospective surveillance for 69 months (July 2010 to March 2016). For each case clinical, hospital course, treatment and outcome data were collected. RESULTS: Among the 1588 intussusception cases, 54.5% were from South India and 66.3% were boys. The median age was 8 months (IQR 6, 12) with 34.6% aged 2-6 months. Seasonal variation with higher cases were documented during March-June period. The most common symptoms and signs were vomiting (63.4%), bloody stool (49.1%), abdominal pain (46.9%) and excessive crying (42.8%). The classical triad (vomiting, abdominal pain, and blood in stools) was observed in 25.6% cases. 96.4% cases were diagnosed by ultrasound with ileocolic location as the commonest (85.3%). Management was done by reduction (50.8%) and surgery (41.1%) and only 1% of the patients' died. 91.1% cases met Brighton criteria level 1 and 3.3% Level 2. Between 2010 and 2015, the case load and case ratio increased across all regions. CONCLUSION: Intussusception cases have occurred in children across all parts of the country, with low case fatality in the settings studied. The progressive rise cases could indicate an increasing awareness and availability of diagnostic facilities.

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BACKGROUND: The risk factors for extended length of stay (LOS) have not been examined in a cohort of patients with complex social and medical barriers who undergo robotic assisted (RA) surgery for gynecologic malignancies. We sought to identify those patients with a LOS > 24 h after robotic surgery and the risk factors associated with delayed discharge. Then we aimed to develop a predictive model for clinical care and identify modifiable pre-operative risk factors. METHODS: After IRB approval, data was abstracted from medical records of all patients with a gynecologic malignancy who underwent a RA laparoscopic surgery from 2010 to 2015. Univariable and multivariable logistic regression was performed to identify independent risk factors associated with delayed discharge defined as LOS > 24 h. A multi-variable logistic regression model was performed using a stepwise backward selection for the final prediction model. All testing was two-sided and a p-value < 0.05 was considered statistically significant. RESULTS: Of the 406 eligible and evaluable patients, 194 (48%) had a LOS > 24 h. Age ≥ 60 years, a higher usage of narcotic medication, a longer surgical time, and a larger estimated blood loss were all associated with LOS > 24 h (p < 0.05). Many of these women had a social work consultation and went home with home care services despite no surgical or post-operative complications. Our prediction model has the potential to correctly classified 75% of the patients discharged within 24 h. CONCLUSIONS: The development of a pre-hospitalization risk stratification and anticipating the possible need for home care services pre-operatively shows promise as a strategy to decrease LOS in patients classified as high-risk. These findings warrant prospective validation through the use of this prediction model in our institution.

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BACKGROUND: Many risk factors contribute to the pathogenesis of diabetes. Gene and lifestyle factors are considered to be the major contributors. A dietary pattern is attributed to be one of the lifestyle risk factors favoring diabetes. The present study aims to find an association between fatty acid desaturase (FADS) gene polymorphism and glycemic profile in type 2 diabetes mellitus (T2DM). METHODOLOGY: A total of 429 subjects were included in the study on the basis of inclusion and exclusion criteria, of which 213 and 216 subjects were diabetic and control, respectively. Body mass index was calculated. Fasting plasma glucose, glycated hemoglobin (HbA1c) and insulin were measured using commercially available kits. rs174575 of FADS2 was selected based on previous publications and identified using the dbSNP database. To compare the biochemical parameters with the genotype, the following three models were used: additive model (CC vs CG vs GG), dominant model (CC + CG vs GG), and recessive model (CC vs CG + GG). RESULTS AND DISCUSSION: FBS, HbA1c, insulin, HOMA-IR, and HOMA-B exhibited a high and statistically significant difference between subjects and controls. The three models exhibited a statistically significant difference between FBS, HOMA-IR, and HOMA- B (p<0.05). CONCLUSION: The distribution of rs174575 genotype differed significantly between the subjects and controls in the present study. The study revealed that genetic variation in FADS2 is an additional facet to consider while studying the risk factors of T2DM.

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In India, head and neck cancers account for 30-40% cancers of all sites. Due to lack of screening program, wide variation in the availability of infrastructures and expertise, patients present at an advanced stage. The main stay of management of the head and neck tumours is surgery and chemoradiation. Radiation dermatitis and mucositis is one of the most common side effect encountered during the radiotherapy. Aim of our study was to study protective role of pomegranate extract on radiation induced dermatitis and mucositis in head and neck cancer patients. It was a prospective, clinical, double blind, case control study. 60 patients (30 active and controls) undergoing radiotherapy for head and neck cancer were studied for 12 months. Patients in study group were given whole fruit pomegranate extract. Each capsule contained 300 mg of whole fruit extract, each capsule contains 40% polyphenols and 27% punicalagin. Each patient were given 2 capsules every day for a period of 6-7 weeks. The skin and mucosal changes was graded according to the acute radiation morbidity scoring criteria (RTOG) for skin and mucous membrane. The results were statistically significant. Pomegranate extract proved to be radioprotective. Our study is one of the first study in humans to demonstrate the effectiveness of pomegranate extract in preventing radiation dermatitis and mucositis.

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OBJECTIVE: The aim of this study was to evaluate the racial/ethnic disparities in ovarian cancer survival in a diverse population. METHODS: We performed a retrospective cohort study evaluating all patients with epithelial ovarian cancer who received primary treatment at Montefiore Medical Center from 2005 to 2015. Clinicopathologic and survival data were abstracted from medical records. Two-sided statistical analyses were performed using SAS 9.3. RESULTS: Three hundred forty-four evaluable patients were identified: 85 (25%) black, 107 (31%) white, 74 (21%) Hispanic, and 78 (23%) other. Black patients were more likely to present with stage IV disease (P = 0.01) and receive neoadjuvant chemotherapy (P < 0.01). By Kaplan-Meier survival analysis, black race was associated with worse recurrence-free survival (P = 0.01) when compared with white race. In multivariate Cox regression model including treatment and stage, race was no longer associated with survival. In a separate multivariate analysis, utilization of neoadjuvant chemotherapy was associated with black race (odds ratio 4.03; 95% confidence interval, 1.56-10.38; P < 0.01) and stage IV disease (odds ratio 3.44; 95% confidence interval, 1.66-7.12; P < 0.01). CONCLUSIONS: In a racially/ethnically diverse population with ovarian cancer, black women had poorer disease-free survival than whites, although this was statistically accounted for by stage at diagnosis and use of neoadjuvant therapy. Research is needed to determine how differences in access/utilization of care and genetic differences in tumor biology may impact late stage diagnosis and use of neoadjuvant chemotherapy among black ovarian cancer patients.

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Design and optimization of a novel series of imidazo[1,2-b]pyridazine PDE10a inhibitors are described. Compound 31 displays excellent pharmacokinetic properties and was also evaluated as an insulin secretagogue in vitro and in vivo.

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OBJECTIVE: To screen the chitosan producing ability of endolichenic fungi and its antibacterial activity. METHODS: Lichen collected from mangroves was screened for endophytes and the chitosan producing ability of endolichenic fungi by submerged fermentation was also determined. Antibacterial activity was carried out against different pathogens. RESULTS: Totally 4 different groups of fungi were isolated from the lichen Roccella montagnei. Among the four genera, Aspergillus niger (A. niger) is potential to produce chitosan (1.3 g/L) on the twelfth day of incubation. Glucose plays an important role in the productivity of chitosan and the yield was maximum at 10% (1.93 g/L). Antibacterial activity revealed that Vibrio cholerae was sensitive to chitosan followed by Escherichia coli. CONCLUSIONS: In conclusion, our findings suggest that A. niger is a potential candidate to produce more chitosan than the other strains and glucose plays an important role in the production of chitosan which proves to have a good antibacterial activity.

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Human ovarian cancer is a highly lethal malignant neoplasm in woman with no effective treatment if conventional chemotherapy fails. In this regard, conditionally replicative adenoviruses (CRAds) represent a promising new modality for the treatment of cancer. A key contribution to the development of CRAds was the introduction of tumor-selective viral replication to restrict amplification to the neoplastic cell population. Under ideal conditions following cellular infection, the viruses replicate selectively in the infected tumor cells, killing the cells by cytolysis, leaving normal cells unaffected. However, to date, there have been limitations to the clinical application of these CRAd agents i.e. poor viral infectivity, poor tumor specificity and high toxicity. Here, we report the in vitro and in vivo comparison of four CRAd agents developed for ovarian cancer application, specifically, Ad-Delta24.F5/3, CRAd-C.F5/3, CRAd-M.F5/3 and CRAd-S.F5/3. All CRAd agents contained fiber knob chimeras of adenovirus serotype 3, which enhanced the viral infectivity at the transductional level via a non-Coxsackie-Adenovirus Receptor alternative pathway. In addition, these CRAds embodied distinct mechanisms for the achievement of replication specificity. Tumor cell killing was assessed by using an oncolytic assay and a cell viability assay (MTS) in vitro, while tumor growth was examined in a xenograft model in vivo by using a bioluminescent imaging assay. In addition, the replication rates of the CRAd agents were determined in human liver slices. Both the Ad-Delta24.F5/3 and CRAd-S.F5/3 were demonstrated to have higher tumor killing effects in tumor cells and a lower viral replication rate in human liver. These agents are thus excellent candidates for clinical trials of CRAd agents against human ovarian cancer.

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Conventional cancer treatments are not adequate for the majority of most patients stricken with squamous cell carcinomas of the head and neck (SCCHN). Conditionally replicating adenoviruses (CRAds) represent a promising new modality for treating of neoplastic diseases, including SCCHN. Specifically, CRAd agents infect tumor cells and selectively replicate within them, thus causing their death while sparing surrounding normal cells in the host. Oncolysis results from the replicative life cycle of the virus, which lyses infected tumor cells and releases viral progeny for propagation of infection and resultant lysis of neighboring cancer cells, sparing normal host cells. However, to date there have been two main limitations to successful clinical application of these CRAd agents: poor infectivity and poor tumor specificity. Here we report the construction of a CRAd agent, CRAd-CXCR4.F5/3, in which the adenovirus E1 gene is driven by a tumor-specific CXCR4 promoter, and the viral infectivity is enhanced by a fiber modification, F5/3, containing an Ad3 knob chimeric fiber protein. As expected, this agent improved both of the viral infectivity and tumor specificity as evaluated in established SCCHN tumor cell lines and in primary tumor tissues from multiple patients. As an added benefit, the activity of the CXCR4 promoter was low in human liver as described previously. Based on these data, the CRAd-CXCR4.F5/3 is a promising novel CRAd agent for SCCHN targeting with low host toxicity.

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Conventional treatments are not adequate for the majority of lung cancer patients. Conditionally replicating adenoviruses (CRAds) represent a promising new modality for the treatment of neoplastic diseases, including non-small cell lung cancer. Specifically, following cellular infection, the virus replicates selectively in the infected tumor cells and kills the cells by cytolysis. Next, the progeny virions infect a new population of surrounding target cells, replicate again and eradicate the infected tumor cells while leaving normal cells unaffected. However, to date, there have been two main limitations to successful clinical application of these CRAd agents; i.e. poor infectivity and poor tumor specificity. Here we report the construction of a CRAd agent, CRAd-CXCR4.RGD, in which the adenovirus E1 gene is driven by a tumor-specific CXCR4 promoter and the viral infectivity is enhanced by a capsid modification, RGD4C. This agent CRAd-CXCR4.RGD, as expected, improved both of the viral infectivity and tumor specificity as evaluated in an established lung tumor cell line and in primary tumor tissue from multiple patients. As an added benefit, the activity of the CXCR4 promoter was low in human liver as compared to three other promoters regularly used for targeting tumors. In addition, this agent has the potential of targeting multiple other tumor cell types. From these data, the CRAd-CXCR4.RGD appears to be a promising novel CRAd agent for lung cancer targeting with low host toxicity.

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OBJECTIVES: Current virotherapy strategies for ovarian cancer have been hampered by limitations in target cell infectivity and nonspecific tissue replication. In an effort to circumvent these limitations, we evaluated various CRAds modified to incorporate novel capsid targeting motifs (RGD and chimeric Ad5/3) with a novel tissue-specific promoter (CXCR4). METHODS: Two novel CRAds (Ad5-CXCR4-F5/3 and Ad5-CXCR4-RGD) were constructed via homologous recombination and verified by PCR and DNA sequencing. The infectivity and viral replication rates of these two CRAds were analyzed via quantitative real-time PCR (QRT-PCR) in cell line experiments using three ovarian cancer cell lines (SKOV3.ip1, Hey, and OV4) and compared to that achieved with a clinical grade CRAd (delta24-RGD) to be evaluated in a Phase I trial. Cytocidal effects were determined by crystal violet staining in these same cell lines infected with different concentrations of viral particles per cell (0, 0.1, 1, 10, 100, and 500). Additionally, viral replication was evaluated by QRT-PCR in primary ovarian cancer tissue slices from multiple patients with ovarian cancer as well as in primary human normal liver tissue slices in order to establish CRAd selectivity. All experiments incorporated appropriate controls and repeated in triplicate. RESULTS: Compared to RGD-capsid CRAds (delta24-RGD and CXCR4-RGD), the F5/3-capsid CRAd (CXCR4-F5/3) demonstrated significant improvements in infection rates (p=0.025, 0.006, and 0.006) in all ovarian cancer cell lines tested (SKOV3.ip1, Hey, and OV4, respectively). In addition to improved transduction of virus into the cells, the TSP CXCR4-based CRAds demonstrated improved viral replication. Specifically, CXCR4-F5/3 further enhanced viral replication 89-fold (p=0.009, 0.010, 0.003) in the same cancer cell lines. Furthermore, CXCR4-F5/3 showed a 4-log improvement in oncolytic potential over delta24-RGD. In the ex vivo primary ovarian tissue slices, CXCR4-F5/3 showed a 58-fold improvement in viral replication (p=0.005) compared to the clinical grade delta24-RGD. Both CXCR4-F5/3 and CXCR4-RGD demonstrated significant reduction of viral replication in normal liver slices (p=0.001). CONCLUSIONS: These data suggest that a dual targeted approach is feasible for the combined enhancement of infectivity and replication in ovarian cancer with a specificity that was attenuated in normal liver tissues. In fact, CXCR4-F5/3 outperformed our best CRAd agent to date nearly 60-fold in our most stringent ex vivo model of primary ovarian cancer tissue slices and suggests that this novel agent could be useful for the treatment of ovarian cancer.

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Cholangiocarcinoma is a highly malignant neoplasm with no effective treatment. Conditionally replicative adenoviruses (CRAds) represent a promising new modality for the treatment of cancer in general. A key contribution in this regard was the introduction of tumor-selective viral replication for amplification of the initial inoculum in the neoplastic cell population. Under ideal conditions following cellular infection, the viruses replicate selectively in the infected tumor cells and kill the cells by cytolysis, leaving normal cells unaffected. However, to date there have been two limitations to the clinical application of these CRAd agents, i.e. poor viral infectivity and tumor specificity. Here we report the construction of three new CRAd agents, CRAd-S.RGD, CRAd-S.F5/3 and CRAd-S.pk7, in which the tumor specificity is regulated by a tumor-specific promoter, the survivin promoter, and the viral infectivity is enhanced by incorporating a capsid modification (RGD, F5/3 or pk7) in the adenovirus fiber region. These CRAd agents effectively target cholangiocarcinoma cells, induce strong cytoxicity in these cells in vitro and inhibit tumor growth in a murine xenograft model in vivo. In addition, the survivin promoter has extremely low activity both in the non-transformed cell line, HMEC, and in human liver tissue. Our results suggest that the survivin-based CRAds are promising agents for targeting cholangiocarcinoma with low host toxicity. Such results should provide important insights into the identification of novel therapeutic strategies for cholangiocarcinoma.

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Mesothelioma is a highly malignant neoplasm with no effective treatment. Conditionally replicative adenoviruses (CRAds) represent a promising new modality for the treatment of cancer in general. A key contribution in this regard is the introduction of tumor-selective viral replication for amplification of the initial inoculum in the neoplastic cell population. Under ideal conditions following cellular infection, the viruses replicate selectively in the infected tumor cells and kill the cells by cytolysis, leaving normal cells unaffected. However, to date there have been two limitations to clinical application of these CRAd agents; viral infectivity and tumor specificity have been poor. Herein we report on two CRAd agents, CRAd-S.RGD and CRAd-S.F5/3, in which the tumor specificity is regulated by a tumor-specific promoter, the survivin promoter, and the viral infectivity is enhanced by incorporating a capsid modification (RGD or F5/3) in the adenovirus fiber region. These CRAd agents effectively target human mesothelioma cell lines, induce strong cytoxicity in these cells in vitro, and viral replication in a H226 murine xenograft model in vivo. In addition, the survivin promoter has extremely low activity both in the non-transformed cell line, HMEC, and in human liver tissue. Our results suggest that the survivin-based CRAds are promising agents for targeting mesothelioma with low host toxicity. These agents should provide important insights into the identification of novel therapeutic strategies for mesothelioma.

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