Bioinformatics study and experimental evaluation of miR-182, and miR-34 expression profiles in Tuberculosis and lung cancer.

Background: Lung cancer is one of the most dangerous diseases among cancers and tuberculosis is one of the deadliest infectious diseases in the world. Many studies have mentioned the connection between lung cancer and tuberculosis, and also the microRNAs that play a significant role in the development of these two diseases. This study aims to use different databases to find effective miRNAs and their role on different genes on lung and tuberculosis diseases. Also determining the role of miR-34a and miR-182 in lung cancer and tuberculosis. Methods: Using the GEO database, the influential microRNA databases were studied in two diseases. Finally, regarding bioinformatics results and literature studies, two miR-34a and miR-182 were selected. The role of these microRNAs and their target genes was carefully evaluated using bioinformatics. The expression of microRNAs in the blood plasma of patients with lung cancer and tuberculosis and healthy people were investigated. Results: According to the GEO database, miR-34a and miR-182 are microRNAs that affect tuberculosis and lung cancer. By checking the miRBase, miRcode, Diana, miRDB, galaxy, KEGG databases, the role of these microRNAs on genes and different molecular pathways and their effect on these microRNAs were mentioned. The results of the present study showed that the expression of miR-34a and miR-182 was lower than that of healthy people. The P value amount for miR-182 was <0.0001 and for miR-34a was 0.3380. Conclusion: Reducing the expression pattern of these microRNAs indicates their role in lung cancer and tuberculosis occurrence. Therefore, these microRNAs can be used as a biomarker for prognosis, diagnosis, and treatment methods.

Oncolytic viruses in lung cancer treatment: a review article.

Lung cancer has a high morbidity rate worldwide due to its resistance to therapy. So new treatment options are needed to improve the outcomes of lung cancer treatment. This study aimed to evaluate the effectiveness of oncolytic viruses (OVs) as a new type of cancer treatment. In this study, 158 articles from PubMed and Scopus from 1994 to 2022 were reviewed on the effectiveness of OVs in the treatment of lung cancer. The oncolytic properties of eight categories of OVs and their interactions with treatment options were investigated. OVs can be applied as a promising immunotherapy option, as they are reproduced selectively in different types of cancer cells, cause tumor cell lysis and trigger efficient immune responses.

A lot of research has been done to find a cure for lung cancer. Among the methods investigated is the treatment of cancer using a type of virus called an oncolytic virus (OV). Since tumors have unique properties, OVs tend to bind to them and activate immune cells to kill them. This article reviews the combination of OVs with other common cancer treatments which improves their effectiveness, causes fewer reactions and brings better results.

A Comprehensive Study on the Correlation of Treatment, Diagnosis and Epidemiology of Tuberculosis and Lung Cancer.

The correlation between tuberculosis (TB) and lung cancer (LC) in diagnosis, epidemiology, and treatment is still unclear. Based on different cohort and retrospective studies, this correlation could be justified by immune weakness because of exposure to TB which may increase the risk of LC. In this study, we tried to exhibit a prominent connection between TB and LC. The diagnosis and treatment of patients with concomitant TB and LC differ from patients with only one of the diseases. In this review, it was well clarified that the most practical diagnostic method for LC is chest tomography, biopsy, and histopathology, and for pulmonary TB sputum microscopic examination, Autofluorescence bronchoscopy (AFB), culture, and PCR. Also, immunological methods can be a good alternative for differential diagnosis. Most epidemiological studies were about concomitant TB and LC in TB-endemic areas, especially in the Middle East. The most suggested methods for definite treatment of LC are chemotherapy, radiotherapy, and surgery while for TB, a long course of anti-TB therapy can be used. Moreover, immunotherapy is considered a good treatment for lung cancer if the interferon-gamma release assay (IGRA) is negative.

A literature review of microRNA and gene signaling pathways involved in the apoptosis pathway of lung cancer.

BACKGROUND: Lung cancer is one of the leading causes of death in the world and the deadliest of all cancers. Apoptosis is a key pathway in regulating the cell growth rate, proliferation, and occurrence of lung cancer. This process is controlled by many molecules, such as microRNAs and their target genes. Therefore, finding new medical approaches such as exploring diagnostic and prognostic biomarkers involved in apoptosis is needed for this disease. In the present study, we aimed to identify key microRNAs and their target genes that could be used in the prognosis and diagnosis of lung cancer. METHODS: Signaling pathways, genes, and microRNAs involved in the apoptotic pathway were identified by bioinformatics analysis and recent clinical studies. Bioinformatics analysis was performed on databases including NCBI, TargetScan, UALCAN, UCSC, KEGG, miRPathDB, and Enrichr, and clinical studies were extracted from PubMed, web of science, and SCOPUS databases. RESULTS: NF-κB, PI3K/AKT, and MAPK pathways play critical roles in the regulation of apoptosis. MiR-146b, 146a, 21, 23a, 135a, 30a, 202, and 181 were identified as the involved microRNAs in the apoptosis signaling pathway, and IRAK1, TRAF6, Bcl-2, PTEN, Akt, PIK3, KRAS, and MAPK1 were classified as the target genes of the mentioned microRNAs respectively. The essential roles of these signaling pathways and miRNAs/target genes were approved through both databases and clinical studies. Moreover, surviving, living, BRUCE, and XIAP was the main inhibitor of apoptosis which act by regulating the apoptosis-involved genes and miRNAs. CONCLUSION: Identifying the abnormal expression and regulation of miRNAs and signaling pathways in apoptosis of lung cancer can represent a novel class of biomarkers that can facilitate the early diagnosis, personalized treatment, and prediction of drug response for lung cancer patients. Therefore, studying the mechanisms of apoptosis including signaling pathways, miRNAs/target genes, and the inhibitors of apoptosis are advantageous for finding the most practical approach and reducing the pathological demonstrations of lung cancer.

An in silico comparative transcriptome analysis identifying hub lncRNAs and mRNAs in brain metastatic small cell lung cancer (SCLC).

Small cell lung cancer (SCLC) is a particularly lethal subtype of lung cancer. Metastatic lung tumours lead to most deaths from lung cancer. Predicting and preventing tumour metastasis is crucially essential for patient survivability. Hence, in the current study, we focused on a comprehensive analysis of lung cancer patients' differentially expressed genes (DEGs) on brain metastasis cell lines. DEGs are analysed through KEGG and GO databases for the most critical biological processes and pathways for enriched DEGs. Additionally, we performed protein-protein interaction (PPI), GeneMANIA, and Kaplan-Meier survival analyses on our DEGs. This article focused on mRNA and lncRNA DEGs for LC patients with brain metastasis and underlying molecular mechanisms. The expression data was gathered from the Gene Expression Omnibus database (GSE161968). We demonstrate that 30 distinct genes are up-expressed in brain metastatic SCLC patients, and 31 genes are down-expressed. All our analyses show that these genes are involved in metastatic SCLC. PPI analysis revealed two hub genes (CAT and APP). The results of this article present three lncRNAs, Including XLOC_l2_000941, LOC100507481, and XLOC_l2_007062, also notable mRNAs, have a close relation with brain metastasis in lung cancer and may have a role in the epithelial-mesenchymal transition (EMT) in tumour cells.

A success targeted nano delivery to lung cancer cells with multi-walled carbon nanotubes conjugated to bromocriptine.

In this research, a new nano drug-based multi-walled carbon nanotubes (MWCNTs) was prepared and evaluated qualitatively. Bromocriptine (BRC) was conjugated to functionalized carbon nanotubes. Then, the CHNS, FT-IR, SEM, and RAMAN tests for characterization of the conjugated drug were done. The nanofluid-containing nano-drug was evaluated on lung cancer cells (A549 & QU-DB) and MRC5 by MTT and flow cytometry tests. Then, the gene expression studies of dopamine receptor genes were done before and after nano-drug treatment. After that, a western blotting test was carried out for further investigation of dopamine receptors protein production. Finally, Bax and Bcl-2 secretion were measured by the ELISA method in cells affected by MWCNTs-BRC Nf compared to untreated cells. The results showed that the nano-drug had a significant lethal effect on cancer cells, while it had no toxicity on MRC5. Also, the nano-drug could significantly induce apoptosis in lung cancer cells at a lower dose compared to the drug alone. In this study, a targeted nano-drug delivery system was designed, and its performance was evaluated based on neurotransmitter pathways, and the results showed that it may be useful in the treatment of lung cancer. However, additional studies on animal models are underway.

A review of epigenetic changes in asthma: methylation and acetylation.

Several studies show that childhood and adulthood asthma and its symptoms can be modulated through epigenetic modifications. Epigenetic changes are inheritable modifications that can modify the gene expression without changing the DNA sequence. The most common epigenetic alternations consist of DNA methylation and histone modifications. How these changes lead to asthmatic phenotype or promote the asthma features, in particular by immune pathways regulation, is an understudied topic. Since external effects, like exposure to tobacco smoke, air pollution, and drugs, influence both asthma development and the epigenome, elucidating the role of epigenetic changes in asthma is of great importance. This review presents available evidence on the epigenetic process that drives asthma genes and pathways, with a particular focus on DNA methylation, histone methylation, and acetylation. We gathered and assessed studies conducted in this field over the past two decades. Our study examined asthma in different aspects and also shed light on the limitations and the important factors involved in the outcomes of the studies. To date, most of the studies in this area have been carried out on DNA methylation. Therefore, the need for diagnostic and therapeutic applications through this molecular process calls for more research on the histone modifications in this disease.

Studies in lung cancer cytokine proteomics: a review.

INTRODUCTION: Proteins are molecules that have role in the progression of the diseases. Proteomics is a tool that can play an effective role in identifying diagnostic and therapeutic biomarkers for lung cancer. Cytokines are proteins that play a decisive role in activating body's immune system in lung cancer. They can increase the growth of the tumor (oncogenic cytokines) or limit tumor growth (anti-tumor cytokines) by regulating related signaling pathways such as proliferation, growth, metastasis, and apoptosis. AREAS COVERED: In the present study, a total of 223 papers including 196 research papers and 27 review papers, extracted from PubMed and Scopus and published from 1997 to present, are reviewed. The most important involved-cytokines in lung cancer including TNF-α, IFN- γ, TGF-ß, VEGF and interleukins such as IL-6, IL-17, IL-8, IL-10, IL-22, IL-1ß and IL-18 are introduced. Also, the pathological and biological role of such cytokines in cancer signaling pathways is explained. EXPERT OPINION: In lung cancer, the cytokine expression changes under the physiological conditions of the immune system, and inflammatory cytokines are associated with the progression of lung cancer. Therefore, the cytokine expression profile can be used in the diagnosis, prognosis, prediction of therapeutic responses, and survival of patients with lung cancer.

The Common miRNAs between Tuberculosis and Non-Small Cell Lung Cancer: A Critical Review.

Tuberculosis (TB) and non-small cell lung cancer (NSCLC) are two major contributors to mortality and morbidity worldwide. In this regard, TB and NSCLC have similar symptoms, and TB has symptoms that are identical to malignancy; therefore, sometimes it is mistakenly diagnosed as lung cancer. Moreover, patients with active pulmonary TB are at a higher risk of dying due to lung cancer. In addition, several signaling pathways involved in TB and NSCLC have been identified. Also, the miRNAs are biological molecules shown to play essential roles in the above-mentioned diseases through targeting the signaling pathways' genes. Most of the pathways affected by miRNAs are immune responses such as autophagy and apoptosis in TB and NSCLC, respectively. Several studies have separately investigated the expression of miRNAs profile in patients with NSCLC and infectious TB. In this critical review, we attempted to gather common miRNAs between TB and NSCLC and to explain the involved-pathways, which are affected by miRNAs in both TB and NSCLC. Results of this critical review show that the expressions of miR-155, miR-146a, miR-125b, miR-30a, miR-29a, and miR-Let7 have significantly changed in TB and NSCLC. The data suggest that miRNAs expression may provide a new method for screening or differential diagnosis of NSCLC and TB.

An Overview on the Upper and Lower Airway Microbiome in Cystic Fibrosis Patients.

BACKGROUND: In cystic fibrosis patients, the mucus is an excellent place for opportunistic bacteria and pathogens to cover. Chronic infections of upper and lower airways play a critical role in the mortality of cystic fibrosis. This study aimed to introduce the microbiota profiles in patients with cystic fibrosis. MATERIALS AND METHODS: In this study, a comprehensive literature search was done for studies on upper and lower airway microbiota in cystic fibrosis patients. International and national databases were searched for the following MeSH words: microbiota, microbiome, upper airway, lower airway, cystic fibrosis, cystic fibrosis, upper airway microbiome, lower airway microbiome, microbiome pattern in cystic fibrosis, microbiome pattern in cystic fibrosis, upper airway microbiota, lower airway microbiota, and microbiota pattern. RESULTS: Streptococcus spp. are in significantly higher relative abundance in infants and children with cystic fibrosis; however, Pseudomonas spp. are in higher relative abundance in adults with cystic fibrosis. Molecular diagnostic techniques can be remarkably accurate in detecting microbial strains. CONCLUSION: For the detection and isolation of most bacterial species, independent-culture methods in addition to the standard culture method are recommended, and sampling should include both upper and lower airways.

The Current Recommended Drugs and Strategies for the Treatment of Coronavirus Disease (COVID-19).

BACKGROUND: The coronavirus 2019 (COVID-19) has been known as a pandemic disease by the World Health Organization (WHO) worldwide. The drugs currently used for treatment of COVID-19 are often selected and tested based on their effectiveness in other diseases such as influenza and AIDS and their major identified targets are viral protease, host cell produced protease, viral RNA polymerase, and the interaction site of viral protein with host cell receptors. Until now, there are no approved therapeutic drugs for definitive treatment of this dangerous disease. METHODS: In this article, all of the documentary information, such as clinical trials, original research and reviews, government's database, and treatment guidelines, were reviewed critically and comprehensively. Moreover, it was attempted to present the most common and effective drugs and strategies, to suggest the possible treatment way of COVID19 by focusing on the body's defense mechanism against pathogens. RESULTS: Antiviral drugs and immune-modulatory agents with the traditional medicines using the natural compound are usual accessible treatments. Accordingly, they have better beneficence due to the large existence studies, long time follow-ups, proximity to the natural system, and the normal physiological routine of the pathogen and host interactions. Besides, the serotonergic and dopaminergic pathways are considered as attractive targets to treat human immune, infectious, and cancerous diseases. Fluoxetine, as a host-targeted small molecule with immunomodulatory action, may be known as effective drug for treatment and prevention of COVID19 disease, in combination with antiviral drugs and natural compounds. CONCLUSION: Co-administration of fluoxetine in the treatment of COVID19 could be considered due to the possibility of its interaction with ACE2 receptors, immune-modulatory function, and a proper immune response at the right time. Fluoxetine plays a beneficial role in reducing stress due to fear of infecting by COVID19 or worsening the disease and psychological support for the affected patients.

The Applications of Carbon Nanotubes in the Diagnosis and Treatment of Lung Cancer: A Critical Review.

The importance of timely diagnosis and the complete treatment of lung cancer for many people with this deadly disease daily increases due to its high mortality. Diagnosis and treatment with helping the nanoparticles are useful, although they have reasonable harms. This article points out that the side effects of using carbon nanotube (CNT) in this disease treatment process such as inflammation, fibrosis, and carcinogenesis are very problematic. Toxicity can reduce to some extent using the techniques such as functionalizing to proper dimensions as a longer length, more width, and greater curvature. The targeted CNT sensors can be connected to various modified vapors. In this regard, with helping this method, screening makes non-invasive diagnosis possible. Researchers have also found that nanoparticles such as CNTs could be used as carriers to direct drug delivery, especially with chemotherapy drugs. Most of these carriers were multi-wall carbon nanotubes (MWCNT) used for cancerous cell targeting. The results of laboratory and animal researches in the field of diagnosis and treatment became very desirable and hopeful. The collection of researches summarized has highlighted the requirement for a detailed assessment which includes CNT dose, duration, method of induction, etc., to achieve the most controlled conditions for animal and human studies. In the discussion section, 4 contradictory issues are discussed which are invited researchers to do more research to get clearer results.

Therapeutic effects of in vivo-differentiated stem cell and Matricaria chamomilla L. Oil in diabetic rabbit.

BACKGROUND: The main goal of diabetes therapy is to control blood glucose levels. OBJECTIVES: In this study, the effect of Matricaria chamomilla L. oil as an herbal agent, on therapeutic properties of poly L-lactic acid-based (PLLA) scaffold loaded with differentiated stem cells, is examined in the diabetic rabbit. METHODS: Adipose mesenchymal stem cells (AMSCs) were isolated from male New Zealand White rabbits and after seeding on the PLLA scaffold differentiated in the pancreatic region. In vivo differentiation of AMSCs toward pancreatic progenitor cells was evaluated by quantitative analysis of gene expressions and immunohistochemistry. Then, one normal and five diabetic groups including blank diabetic, scaffold, oil + scaffold, and differentiated cell + scaffold or oil + scaffold were assessed after 21 days of treatment. After the assessment, the diabetic groups were evaluated by clinical parameters and pancreatic histological sections. RESULTS: It was found that AMSCs were differentiated to insulin-producing cells (IPCs) in the pancreatic environment which then used for implantation. Blood glucose in the oil + scaffold, cell + scaffold, and oil + cell + scaffold groups showed a significant decrease after 21 days. In the above mentioned three groups, insulin secretion was increased significantly. Chamomile oil also caused a significant decrease in High-density lipoprotein (HDL), Low-density lipoprotein (LDL), and total cholesterol levels. According to histological sections results, in cell + scaffold and oil + cell + scaffold groups, ß cells were significantly increased compared to blank diabetic group. CONCLUSIONS: Together these data demonstrated chamomile oil along with in vivo-differentiated stem cell is a promising new treatment for diabetes.

Co-Administration of Curcumin and Bromocriptine Nano-liposomes for Induction of Apoptosis in Lung Cancer Cells

Background: In recent years, nanotechnology with modern advances in the macromolecular design of nano-carriers has proved to be helpful in the development of drugs delivery systems. This research represents a novel co-administration of nano-vehicles, known as liposomes. Liposomes efficiently encapsulate curcumin and bromocriptine (BR) in a polymer structure, which results in enhanced aqueous solubility of the mentioned hydrophobic agents and higher bioavailability of the drugs. Methods: Preparation of curcumin and BR liposomes were carried out by the thin film method, and the amounts of purified drug and its release were analyzed. After dose determination, the human lung cancer cells (QU-DB) were exposed to BR and curcumin liposomes for 12, 24, and 48 h. Then the viability and apoptosis assays were carried out by using tetrazolium dye and flow cytometry technique, respectively. Results: In this research, in vitro anti-cancer effects of former nano-formulations on lung cancer cells was confirmed, and no cytotoxicity effects of these nano-preparations were observed in the normal cells (HFLF-PI5). Discussion: Our findings suggest the nano-liposomal drugs as effective anti-cancer agents; however, additional clinical examinations are required.

Study of capability of nanostructured zero-valent iron and graphene oxide for bioremoval of trinitrophenol from wastewater in a bubble column bioreactor

BACKGROUND: Bioremoval of phenolic compounds using fungi and bacteria has been studied extensively; nevertheless, trinitrophenol bioremediation using modified Oscillatoria cyanobacteria has been barely studied in the literature. RESULTS: Among the effective parameters of bioremediation, algal concentration (3.18 g·L−1 ), trinitrophenol concentration (1301 mg·L−1 ), and reaction time (3.75 d) were screened by statistical analysis. Oscillatoria cyanobacteria were modified by starch/nZVI and starch/graphene oxide in a bubble column bioreactor, and their bioremoval efficiency was investigated. Modifiers, namely, starch/zero-valent iron and starch/GO, increased trinitrophenol bioremoval efficiency by more than 10% and 12%, respectively, as compared to the use of Oscillatoria cyanobacteria alone. Conclusions: It was found that starch/nano zero-valent iron and starch/GO could be applied to improve the removal rate of phenolic compounds from the aqueous solution.

Application of an Artificial Neural Network in the Diagnosis of Chronic Lymphocytic Leukemia.

Introduction Chronic lymphocytic leukemia (CLL) is one of the most common types of leukemia, and the early diagnosis of patients coincides with their proper treatment and survival. If patients are diagnosed late or proper treatment is not applied, it may lead to harmful results. Several methods could be used for the diagnosis of leukemia; some of these include complete blood count (CBC), immunophenotyping, lymph node biopsy, chest X-ray, computerized tomography (CT) scan, and ultrasound. Most of these methods are time-consuming and an application of more than one method will result as intended. This acknowledgment stresses the necessity of rapid and proper diagnosis for leukemia based on clinical and medical findings, inasmuch as it was decided to apply the artificial neural network (ANN) in order to identify a molecular biomarker for rapid leukemia diagnosis from blood samples and evaluate its potential for the detection of cancer. Materials & methods The independent sample t-test was applied with the Statistical Package for the Social Sciences (SPSS; IBM Corp, Armonk, NY, US) software on the microarray gene expression data of Gene Expression Omnibus (GEO) datasets (GSE22529); 12 genes that had shown the highest differences (among parameters whose p-value was less than 0.01) were selected for further ANN analysis. The selected genes of 53 patients were applied to the training network algorithm, with a learning rate of 0.1. Results The results showed a high accuracy of the relationship between the output of the trained network and the test data. The area under the receiver operating characteristic (ROC) curve was 0.991, which provides proof of the precision and the relationship with identifying Gelsolin as a potential biomarker for this research. Conclusions With these results, it was concluded that the training process of the ANN could be applied to rapid CLL diagnosis and finding a potential biomarker. Besides, it is suggested that this method could be performed to diagnose other forms of cancer in order to get a rapid and reliable outcome.

Bioinformatics Analysis of Key Genes and Pathways for Medulloblastoma as a Therapeutic Target

Introduction: One of the major challenges in cancer treatment is the lack of specific and accurate treatment in cancer. Data analysis can help to understand the underlying molecular mechanism that leads to better treatment. Increasing availability and reliability of DNA microarray data leads to increase the use of these data in a variety of cancers. This study aimed at applying and evaluating microarray data analyzing, identification of important pathways and gene network for medulloblastoma patients to improve treatment approaches especially target therapy. Methods: In the current study, Microarray gene expression data (GSE50161) were extracted from Geo datasets and then analyzed by the affylmGUI package to predict and investigate upregulated and downregulated genes in medulloblastoma. Then, the important pathways were determined by using software and gene enrichment analyses. Pathways visualization and network analyses were performed by Cytoscape. Results: A total number of 249 differentially expressed genes (DEGs) were identified in medulloblastoma compared to normal samples. Cell cycle, p53, and FoxO signaling pathways were indicated in medulloblastoma, and CDK1, CCNB1, CDK2, and WEE1 were identified as some of the important genes in the medulloblastoma. Conclusion: Identification of critical and specific pathway in any disease, in our case medulloblastoma, can lead us to better clinical management and accurate treatment and target therapy.

Regenerative medicine as a novel strategy for AMD treatment: a review.

Age-related macular degeneration (AMD) is known as a major cause of irreversible blindness in elderly adults. The segment of the retina responsible for central vision damages in the disease process. Degeneration of retinal pigmented epithelium (RPE) cells, photoreceptors, and choriocapillaris associated with aging participate for visual loss. In 2010, AMD involved 6.6% of all blindness cases around the world. Some of the researches have evaluated the replacing of damaged RPE in AMD patients by using the cells from various sources. Today, the advancement of RPE differentiation or generation from stem cells has been gained, and currently, clinical trials are testing the efficiency and safety of replacing degenerated RPE with healthy RPE. However, the therapeutic success of RPE transplantation may be restricted unless the transplanted cells can be adhered, distributed and survive for long-term in the transplanted site without any infections. In recent years a variety of scaffold types were used as a carrier for RPE transplantation and AMD treatment. In this review, we have discussed types of scaffolds; natural or synthetic, solid or hydrogel and their results in RPE replacement. Eventually, our aim is highlighting the novel and best scaffold carriers that may have potentially promoting the efficacy of RPE transplantation.

Identification of a novel intergenic miRNA located between the human DDC and COBL genes with a potential function in cell cycle arrest.

Frequent abnormalities in 7p12 locus in different tumors like lung cancer candidate this region for novel regulatory elements. MiRNAs as novel regulatory elements encoded within the human genome are potentially oncomiRs or miR suppressors. Here, we have used bioinformatics tools to search for the novel miRNAs embedded within human chromosome 7p12. A bona fide stem loop (named mirZa precursor) had the features of producing a real miRNA (named miRZa) which was detected through RT-qPCR following the overexpression of its precursor. Then, endogenous miRZa was detected in human cell lines and tissues and sequenced. Consistent to the bioinformatics prediction, RT-qPCR as well as dual luciferase assay indicated that SMAD3 and IGF1R genes were targeted by miRZa. MiRZa-3p and miRZa-5p were downregulated in lung tumor tissue samples detected by RT-qPCR, and mirZa precursor overexpression in SW480 cells resulted in increased sub-G1 cell population. Overall, here we introduced a novel miRNA which is capable of targeting SMAD3 and IGF1R regulatory genes and increases the cell population in sub-G1 stage.

Carbon nanotubes: A review of novel strategies for cancer diagnosis and treatment.

Recently, carbon nanotubes (CNTs) have attracted a lot of attention in the field of cancer diagnosis and therapy. The probability of variable functionalization, compatibility with biological systems, and the thermodynamic properties of CNTs might be the main reasons for such vast investigations. The aim of this study is to review the conducted researches in this field. Studies regarding to the contribution of CNTs in the diagnosis of cancer are reviewed, and the more accurate techniques which need lowest amounts of samples are introduced. In the case of cancer therapy, the studies are categorized in two main classes based on the conducted therapy strategies, including targeted drug delivery systems (DDS), and thermal ablation. In both schemes, use of chemical conjugation is the crucial parts of the studies, which is also emphasized in this review. It is tried to classify the researches based on the cancer type, and introduce the novel strategies developed for both diagnosis and treatment of cancer. The focus is mostly on the biomedical aspect of the methodologies and the subsequent biological responses of the cancer cells to the conducted procedures.