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Anticancer immunotherapies with a dendritic Cell (DC) basis are becoming more popular. However, it has been suggested that the tumor's immunosuppressive mechanisms, such as inhibitory immunological checkpoint molecules, reduce the effectiveness of anticancer immunogenicity mediated by DC. Thus, overcoming immune checkpoints and inducing effective antigen-specific T-cell responses uniquely produced with malignant cells represent the key challenges. Among the inhibitory immune checkpoints, DCs' ability to mature and present antigens is decreased by CTLA-4 expression. Consequently, we hypothesized that by expressing CTLA-4 cells on DCs, the T cells' activation against tumor antigens would be suppressed when confronted with these antigens presented by DCs. In this research, by loading cell lysate of breast cancer (BC) on DCs and the other hand by inhibiting the induction of CTLA-4 using small interfering RNA (siRNA), we assessed the functional activities and phenotypes of DCs, and also the responses associated with T-cells following co-culture DC/T cell. Our research has shown that the suppression of CTLA-4 enhanced the stimulating capabilities of DCs. Additionally, CTLA-4-suppressed BC cell lysate-loaded DCs produced more IL-4 and IFN-ϒ and increased T cell induction in contrast to DCs without CTLA-4 suppression. Together, our data point to CTLA-4-suppressed DCs loaded with BC cell lysate as a potentially effective treatment method. However, further research is required before employing this method in therapeutic contexts.

Background: Gastric cancer, ranked as the fifth most common cancer worldwide, presents multiple treatment challenges. These obstacles often arise due to cancer stem cells, which are associated with recurrence, metastasis, and drug resistance. While dendritic cell (DC)-based immunotherapy has shown promise as a therapeutic strategy, its efficacy can be limited by the tumor microenvironment and certain inhibitory immune checkpoint molecules, such as B7H7. SiRNA-medicated knockdown of B7H7 in tumor cell lysate-pulsed DCs can increase cytokine secretion and autologous T lymphocyte expansion. This study aimed to evaluate the impact of B7H7 suppression in gastric cancer cell lysate-pulsed DCs on the stimulatory potential of autologous CD3+ T lymphocytes. Methods: Peripheral blood mononuclear cells (PBMCs) were isolated and monocytes were obtained; then, they were differentiated to immature DCs (iDCs) by GM-CSF and IL-4. Tumor cell lysates from human gastric cancer cell lines were harvested, and iDCs were transformed into mature DCs (mDCs) by stimulating iDCs with tumor cell lysate and lipopolysaccharide. B7H7-siRNA was delivered into mDCs using electroporation, and gene silencing efficiency was assessed. The phenotypic characteristics of iDCs, mDCs, and B7H7-silenced mDCs were evaluated using specific surface markers, an inverted light microscope, and flow cytometry. CD3+ T cells were isolated via magnetically activated cell sorting. They were labeled with CFSE dye and co-cultured with mDCs and B7H7-silenced mDCs to evaluate their ability to induce T-cell proliferation. T-cell proliferation was assessed using flow cytometry. The concentration of TGF-β, IL-4, and IFN-γ secreted from CD3+ T cells in the co-cultured supernatant was evaluated to investigate the cytokine secretory activity of the cells. Results: Transfection of B7H7 siRNA into mDCs was performed in optimal conditions, and the siRNA transfection effectively reduced B7H7 mRNA expression in a dose-dependent manner. SiRNA-mediated B7H7 knockdown in mDCs enhanced maturation and activation of the DCs, as demonstrated by an increased surface expression of CD11c, CD86, and CD40. Co-culture experiments revealed that B7H7-silenced mDCs had more capacity to induce T cell proliferation compared to non-transfected mDCs. The cytokine production patterns of T cells were also altered. Upon examining the levels of TGF-β, IL-4, and IFN-γ released by CD3+ T cells in the co-culture supernatant, we found that silencing B7H7 in mDCs resulted in a rise in IL-4 secretion and a reduction in TGF-β levels compared to mDCs that were not transfected. Conclusions: The study found that suppressing B7H7 expression in DCs significantly enhances their maturation and stimulatory activity when exposed to gastric cancer cell lysate. These B7H7-silenced DCs can substantially increase cytokine production and promote co-cultured T-cell expansion. Consequently, inhibiting B7H7 in DCs may offer a practical strategy to enhance the ability of DCs to initiate T lymphocyte responses and improve the effectiveness of DC-based cell therapy for cancer patients.

Dendritic cell (DC)-based immunotherapy has increased interest among anti-cancer immunotherapies. Nevertheless, the immunosuppressive mechanisms in the tumor milieu, e.g., inhibitory immune checkpoint molecules, have been implicated in diminishing the efficacy of DC-mediated anti-tumoral immune responses. Therefore, the main challenge is to overcome inhibitory immune checkpoint molecules and provoke efficient T-cell responses to antigens specifically expressed by cancerous cells. Among the inhibitory immune checkpoints, cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) expression on DCs diminishes their maturation and antigen presentation capability. Accordingly, we hypothesized that the expression of CTLA-4 on DCs inhibits the T cell-mediated anti-tumoral responses generated following the presentation of tumor antigens by DCs to T lymphocytes. In this study, we loaded colorectal cancer (CRC) cell lysate on DCs and inhibited the expression of CTLA-4 by small interfering RNA (siRNA) in them to investigate the DCs’ functional and phenotypical features, and T-cell mediated responses following DC/T cell co-culture. Our results demonstrated that blockade of CTLA-4 could promote stimulatory properties of DCs. In addition, CTLA-4 silenced CRC cell lysate-loaded DCs compared to the DCs without CTLA-4 silencing resulted in augmented T cell proliferation and cytokine production, i.e., IFN-γ and IL-4. Taken together, our findings suggest CTLA-4 silenced CRC cell lysate-loaded DCs as a promising therapeutic approach however further studies are needed before this strategy can be used in clinical practice.

Cancer stem cells (CSCs) with their self-renewal ability are accepted as cells which initiate tumors. CSCs are regarded as interesting targets for novel anticancer therapeutic agents because of their association with tumor recurrence and resistance to conventional therapies, including radiotherapy and chemotherapy. Chimeric antigen receptor (CAR)-T cells are engineered T cells which express an artificial receptor specific for tumor associated antigens (TAAs) by which they accurately target and kill cancer cells. In recent years, CAR-T cell therapy has shown more efficiency in cancer treatment, particularly regarding blood cancers. The expression of specific markers such as TAAs on CSCs in varied cancer types makes them as potent tools for CAR-T cell therapy. Here we review the CSC markers that have been previously targeted with CAR-T cells, as well as the CSC markers that may be used as possible targets for CAR-T cell therapy in the future. Furthermore, we will detail the most important obstacles against CAR-T cell therapy and suggest solutions.

The objective of this study is to identify and ranking of factors affecting detecting the financial statement frauds using the judgment technique based on the Analytic Hierarchy Process and data mining techniques techniques. The population of the study comprised of senior auditors, supervisors, senior supervisors, audit manager and partner of the audit institute employed in audit institutes member and also companies listed in the Tehran Stock Exchange. In order to the research goal, 56 questionnaires and 109 Listed for the year 2012-2017 and analyzed. Based on the technique of judgment, the pressure dimension of the first priority, opportunity, second factor and rationalization are ranked as the third effective factor on the detection of fraud. These results are different with other techniques. Empirically, the ANNs and CART approaches work with the training and testing samples in a correct classification rate of 98/65% (ANNs) & 91.5% (CART) and 69/79% (ANNs) & 69.10% (CART), respectively, which is more accurate than the logistic model that only reaches 72.32% and 88.10% of the correct classification in assessing the fraud presence. In addition, type II error of CART drops significantly to 58.18% from 72.7% and 55.6% compared to the ones using ANNs and logistic models. According to the accuracy index, the decision tree model is more efficient than other models; therefore, among the data mining techniques, the weight of each of the input variables of the decision tree is the basis for the final ranking of the research variables

Proprotein convertase subtilisin/kexin type 9 (PCSK9), as a vital modulator of low-density lipoprotein cholesterol (LDL-C) , is raised in hepatocytes and released into plasma where it binds to LDL receptors (LDLR), leading to their cleavage. PCSK9 adheres to the epidermal growth factor-like repeat A (EGF-A) domain of the LDLR which is confirmed by crystallography. LDLR expression is adjusted at the transcriptional level through sterol regulatory element binding protein 2 (SREBP-2) and at the post translational stages, specifically through PCSK9, and the inducible degrader of the LDLR PCSK9 inhibition is an appealing new method for reducing the concentration of LDL-C. In this review the role of PCSK9 in lipid homeostasis was elucidated, the effect of PCSK9 on atherosclerosis was highlighted, and contemporary therapeutic techniques that focused on PCSK9 were summarized. Several restoration methods to inhibit PCSK9 have been proposed which concentrate on both extracellular and intracellular PCSK9, and they include blockage of PCSK9 production by using gene silencing agents and blockage of it’s binding to LDLR through antibodies and inhibition of PCSK9 autocatalytic processes by tiny molecule inhibitors.

Metformin, cimetidine, and ibuprofen separately exhibit immunomodulatory and anti-tumorigenic effects. Herein, the impacts of metformin alone and in combination with cimetidine/ibuprofen on some Th1- and regulatory T (Treg) cell-related parameters were evaluated using a breast cancer (BC) model. For establishing the BC model, four groups of Balb/c mice were challenged with the carcinoma cell line. After 11-30 days post-induction, they were treated intraperitoneally (with metformin (200 mg/kg), "metformin plus cimetidine (20 mg/kg)"; "metformin plus ibuprofen (20 mg/kg)", or with all three drugs in mentioned doses. Untreated BC and without tumor mice were enrolled as control groups. On day 31, splenic Th1 and Treg cell frequencies, serum interferon-gamma (IFN-γ), and transforming growth factor-beta (TGF-β) concentration, and intra-tumoral T-bet, TGF-β, and forkhead box protein P3 (FOXP3) expression were measured; using flow cytometry, enzyme-linked immunosorbent assay (ELISA), and real-time-PCR, respectively. Treatment of the BC mice with metformin alone and in combination with cimetidine and/or ibuprofen enhanced the frequency of Th1 cells, and IFN-γ concentration, while it resulted in a decrease in the frequency of Treg cells, serum TGF-β concentration, and the expression of FOXP3 and TGF-β compared with un-treated BC mice. FOXP3 expression in the metformin-treated group was lower in mice who received combination therapy. Survival rate and body weight were increased, while tumor size and spleen index were reduced in mice treated with metformin alone and its combination with cimetidine and/or ibuprofen. No remarkable differences were found between metformin-treated mice and those who received combination therapies regarding Th1 and Treg cell percentages, TGF-β expression, body weight, tumor size, and spleen index. The benefits of combinational therapy may be largely attributed to metformin. Immunotherapeutic potentials of metformin in cancers need further considerations.

Background: Recent evidence has indicated that beta-secretase 1 (BACE1) is involved in the production of amyloid beta (Aβ) in patients affected with Alzheimer’s disease (AD). Therefore; the purpose of this study was to measure mRNA and plasma levels of BACE1 in AD patients, as an early diagnosis biomarker for such individuals. Methods: A total number of thirty AD patients and thirty normal subjects as controls were recriuted in the present study. Plasma levels of BACE1 were then examined via enzyme-linked immunosorbent assay (ELISA) and also mRNA expression of BACE1 in total blood was measured using real-time PCR technique. Results: The findings revealed a significant difference in gene expression of BACE1 in the peripheral blood of AD patients compared with that in controls (p0.05). Conclusion: Given the importance of early diagnosis of AD patients, it was suggested that the measurement of plasma levels and also mRNA expression of BACE1 might be a valuable blood-based biomarker used in preference to other invasive diagnostic methods such as cerebrospinal fluid (CSF) analysis.

This paper analyses efficiency of short horizon event study methodology in general and efficiency of various test statistics based on price and trading volume in the period (Iranian calendar) 1380:1389-q1 (2240 days) applying simulation method. We evaluate efficiency of 8 test statistics including parametric, non-parametric and induced variance statistics. We find various test statistics have enough power to detect abnormal return. One should not expect consistently detect abnormal returns of less than 1 percent.

Event studies have found several applications in financial and accounting researches as the standard method to assess the average effect of some types of announcement on stock prices. In a large sample of announcements, event window length can be standardized (fixed) across observations, because the errors from having too long or too short event window should have small impact in average by the Law of Large Numbers. But in small samples (in emerging markets) we cannot use this procedure. Here, we examine various potential rules for determining the length of an event window when looking at limited number of observations. We consider the announcements of adjustment of predicted earnings (by companies) in Tehran Stock Exchange during 1386 to 1388. To determining the length of time period affecting the market, tree methods are used. We also examine the relationship between the length of event window and the amount of unexpected earnings.