Role of the NF-?B signaling pathway in the pathogenesis of colorectal cancer

The NF-?B signaling pathway is a key regulator of CRC cell proliferation, apoptosis, angiogenesis, inflammation, metastasis, and drug resistance. Over-activation of the NF-?B pathway is a feature of colorectal cancer (CRC). While new combinatorial treatments have improved overall patient outcome; quality of life, cost of care, and patient survival rate have seen little improvement. Suppression of the NF-?B signaling pathway using biological or specific pharmacological inhibitors is a potential therapeutic approach in the treatment of colon cancer. This review summarizes the regulatory role of NF-?B signaling pathway in the pathogenesis of CRC for a better understanding and hence a better management of the disease

Breast cancer prediction using different machine learning methods applying multi factors

ObjectiveBreast cancer (BC) is a multifactorial disease and is one of the most common cancers globally. This study aimed to compare different machine learning (ML) techniques to develop a comprehensive breast cancer risk prediction model based on features of various factors.MethodsThe population sample contained 810 records (115 cancer patients and 695 healthy individuals). 45 attributes out of 85 were selected based on the opinion of experts. These selected attributes are in genetic, biochemical, biomarker, gender, demographic and pathological factors. 13 Machine learning models were trained with proposed attributes and coefficient of attributes and internal relationships were calculated.ResultCompared to other methods random forest (RF) has higher performance (accuracy 99.26%, precision 99%, and area under the curve (AUC) 99%). The results of assessing the impact and correlation of variables using the RF method based on PCA indicated that pathology, biomarker, biochemistry, gene, and demographic factors with a coefficient of 0.35, 0.23, 0.15, 0.14, and 0.13 respectively, affected the risk of BC (r2 = 0.54).ConclusionBreast cancer has several risk factors. Medical experts use these risk factors for early diagnosis. Therefore, identifying related risk factors and their effect can increase the accuracy of diagnosis. Considering the broad features for predicting breast cancer leads to the development of a comprehensive prediction model. In this study, using RF technique a breast cancer prediction model with 99.3% accuracy was developed based on multifactorial features.</p

Role of regulatory miRNAs of the Wnt/ ß-catenin signaling pathway in tumorigenesis of breast cancer

Breast cancer is the most commonly diagnosed malignancy in women worldwide. Recently, uncontrolled expression of microRNAs was detected in several human disorders like cardiovascular, neurological, intestinal and autoimmunity diseases. MicroRNAs (miRNAs) are now investigated as novel prognostic and diagnostic biomarkers for several solid tumors like breast, lung, and gastrointestinal cancers. Current data suggest that miRNAs are implicated in various oncogenic processes implicated in breast cancer carcinogenesis trough modulating canonical Wnt pathway. Aberrant activation of Wnt/b-catenin signaling was shown to be significantly associated with tumor progression and poor prognosis in patients with breast cancer. This review presents recent findings on the molecular mechanism of microRNAs in regulation of Wnt/ß-catenin signaling involved in tumorigenesis of breast cancer

<i>AKT1</i> and <i>SELP</i> Polymorphisms Predict the Risk of Developing Cachexia in Pancreatic Cancer Patients

<div><p>Pancreatic ductal adenocarcinoma (PDAC) patients have the highest risk of developing cachexia, which is a direct cause of reduced quality of life and shorter survival. Novel biomarkers to identify patients at risk of cachexia are needed and might have a substantial impact on clinical management. Here we investigated the prognostic value and association of <i>SELP-rs6136</i>, <i>IL6-rs1800796</i> and <i>AKT1-rs1130233</i> polymorphisms with cachexia in PDAC. Genotyping was performed in DNA from blood samples of a test and validation cohorts of 151 and 152 chemo-naive locally-advanced/metastatic PDAC patients, respectively. The association of <i>SELP-rs6136</i>, <i>IL6-rs1800796</i> and <i>AKT1-rs1130233</i> polymorphisms with cachexia as well as the correlation between cachexia and the candidate polymorphisms and overall survival were analyzed. Akt expression and phosphorylation in muscle biopsies were evaluated by specific ELISA assays. <i>SELP-rs6136-AA</i> and <i>AKT1-rs1130233-AA/GA</i> genotypes were associated with increased risk of developing cachexia in both cohorts (<i>SELP: p</i> = 0.011 and <i>p</i> = 0.045; <i>AKT1: p</i> = 0.004 and <i>p</i> = 0.019 for the first and second cohorts, respectively), while patients carrying <i>AKT1-rs1130233-GG</i> survived significantly longer (<i>p</i> = 0.002 and <i>p</i> = 0.004 for the first and second cohorts, respectively). In the multivariate analysis <i>AKT1-rs1130233-AA/GA</i> genotypes were significant predictors for shorter survival, with an increased risk of death of 1.7 (<i>p</i> = 0.002) and 1.6 (<i>p</i> = 0.004), in the first and second cohorts, respectively. This might be explained by the reduced phosphorylation of Akt1 in muscle biopsies from patients harboring <i>AKT1-rs1130233-AA/GA</i> (<i>p</i> = 0.003), favoring apoptosis induction. In conclusion, <i>SELP</i> and <i>AKT1</i> polymorphisms may play a role in the risk of cachexia and death in PDAC patients, and should be further evaluated in larger prospective studies.</p></div

The potential therapeutic applications of CRISPR/Cas9 in colorectal cancer

The application of the CRISPR-associated nuclease 9 (Cas9) system in tumor studies has led to the discovery of several new treatment strategies for colorectal cancer (CRC), including the recognition of novel target genes, the construction of animal mass models, and the identification of genes related to chemotherapy resistance. CRISPR/Cas9 can be applied to genome therapy for CRC, particularly regarding molecular-targeted medicines and suppressors. This review summarizes some aspects of using CRISPR/Cas9 in treating CRC. Further in-depth and systematic research is required to fully realize the potential of CRISPR/Cas9 in CRC treatment and integrate it into clinical practice

Akt1 expression in muscle samples according to the <i>AKT1-rs1130233</i> polymorphism.

<p>Bar graphs illustrating the mean±SD expression of total Akt1 (<b>A</b>) and phospho-Akt1 (<b>B</b>) in muscle samples from patients with differential <i>AKT1-rs1130233</i> genotypes (N = 9 samples in each group) *<i>p</i><0.05.</p

The circadian clock as a potential biomarker and therapeutic target in pancreatic cancer

Pancreatic cancer (PC) has a very high mortality rate globally. Despite ongoing efforts, its prognosis has not improved significantly over the last two decades. Thus, further approaches for optimizing treatment are required. Various biological processes oscillate in a circadian rhythm and are regulated by an endogenous clock. The machinery controlling the circadian cycle is tightly coupled with the cell cycle and can interact with tumor suppressor genes/oncogenes; and can therefore potentially influence cancer progression. Understanding the detailed interactions may lead to the discovery of prognostic and diagnostic biomarkers and new potential targets for treatment. Here, we explain how the circadian system relates to the cell cycle, cancer, and tumor suppressor genes/oncogenes. Furthermore, we propose that circadian clock genes may be potential biomarkers for some cancers and review the current advances in the treatment of PC by targeting the circadian clock. Despite efforts to diagnose pancreatic cancer early, it still remains a cancer with poor prognosis and high mortality rates. While studies have shown the role of molecular clock disruption in tumor initiation, development, and therapy resistance, the role of circadian genes in pancreatic cancer pathogenesis is not yet fully understood and further studies are required to better understand the potential of circadian genes as biomarkers and therapeutic targets

The potential therapeutic applications of CRISPR/Cas9 in colorectal cancer

The application of the CRISPR-associated nuclease 9 (Cas9) system in tumor studies has led to the discovery of several new treatment strategies for colorectal cancer (CRC), including the recognition of novel target genes, the construction of animal mass models, and the identification of genes related to chemotherapy resistance. CRISPR/Cas9 can be applied to genome therapy for CRC, particularly regarding molecular-targeted medicines and suppressors. This review summarizes some aspects of using CRISPR/Cas9 in treating CRC. Further in-depth and systematic research is required to fully realize the potential of CRISPR/Cas9 in CRC treatment and integrate it into clinical practice

Genetic determinants of response to statins in cardiovascular diseases

Despite extensive efforts to identify patients with cardiovascular disease (CVD) who could most benefit from the treatment approach, patients vary in their benefit from therapy and propensity for adverse drug events. Genetic variability in individual responses to drugs (pharmacogenetics) is considered an essential determinant in responding to a drug. Thus, understanding these pharmacogenomic relationships has led to a substantial focus on mechanisms of disease and drug response. In turn, understanding the genomic and molecular bases of variables that might be involved in drug response is the main step in personalized medicine. There is a growing body of data evaluating drug-gene interactions in recent years, some of which have led to FDA recommendations and detection of markers to predict drug responses (e.g., genetic variant in VKORC1 and CYP2C9 genes for prediction of drug response in warfarin treatment). Also, statins are widely prescribed drugs for the prevention of CVD. Atorvastatin, fluvastatin, rosuvastatin, simvastatin, and lovastatin are the most common statins used to manage dyslipidemia. This review provides an overview of the current knowledge on the pharmacogenetics of statins, which are being used to treat cardiovascular diseases.</p

Correlation between cachexia and candidate <i>SELP</i>, <i>AKT1</i> and <i>IL-6</i> SNPs.

<p><i>*p-values were calculated with Fisher's exact test.</i></p><p><i>SNPs, single nucleotide polymorphisms.</i></p><p>Note: <i>SELP</i> and <i>IL6</i> SNPs was detectable in all the samples, while the <i>AKT1</i> genotype could not be determined in 2 of the patients of the second cohort.</p><p>Correlation between cachexia and candidate <i>SELP</i>, <i>AKT1</i> and <i>IL-6</i> SNPs.</p