<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

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

Clinical outcome according to candidate <i>SELP</i>, <i>AKT1</i> and <i>IL-6</i> SNPs.

<p><i>OS: overall survival; mo: months.</i></p><p>Clinical outcome according to candidate <i>SELP</i>, <i>AKT1</i> and <i>IL-6</i> SNPs.</p

Serum and dietary zinc and copper in Iranian girls

OBJECTIVE: Girls with micronutrient deficiencies may have impaired growth and development, and furthermore this may also impact on their childbearing. We have investigated the relationship between serum zinc and copper concentrations, dietary zinc and copper intake and anthropometric and demographic parameters, and cardiovascular risk factors, in 408 girls living in northeastern Iran. METHODS: A total of 408 healthy girls, aged 12-18?years old, were included in our study. Serum zinc and copper concentrations were measured by flame atomic absorption (Varian AA240FS) and zinc and copper intake were assessed using a 3-day dietary record. RESULTS: There was a weak correlation between serum and dietary zinc intake (r?=?0.117, p?=?0.018). The correlation between serum and dietary copper approached significance (r?=?-0.094, p?=?0.056). The mean serum zinc and copper concentrations were 14.61?±?2.71?µmol/L and 19.48?±?8.01?µmol/L respectively. Height, total cholesterol (TC) and low-density lipoprotein (LDL) were positively correlated with serum copper concentration. Subjects with high serum copper concentrations (>24?µmol/L) were found to have a significantly higher fasting blood glucose (FBG) compared to subjects with normal, or low serum copper concentrations (p?=?0.033). Girls who were in the 5th percentile or greater for height were found to have higher serum copper concentrations than girls in other height categories. CONCLUSION: There was a weak relationship between dietary and serum concentrations of zinc. Copper status was associated with anthropometric and biochemical parameters, including FBG and lipid profile. Further studies are required to define the role of copper in metabolic health

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

Clinical outcome according to cachexia and <i>AKT1-rs1130233</i> polymorphism.

<p>(<b>A</b> and <b>B</b>) Kaplan–Meier survival curves according to cachexia in the first and second cohort of patients. (<b>C</b> and <b>D</b>) Kaplan–Meier survival curves according to the <i>AKT1-rs1130233</i> polymorphism in the first and second cohort of patients. <i>p</i>-values were calculated with the log-rank test. OS: Overall survival.</p

Extracellular vesicles: emerging mediators of cell communication in gastrointestinal cancers exhibiting metabolic abnormalities

There is a complex interaction between pro-tumoural and anti-tumoural networks in the tumour microenvironment (TME). Throughout tumourigenesis, communication between malignant cells and various cells of the TME contributes to metabolic reprogramming. Tumour Dysregulation of metabolic pathways offer an evolutional advantage in the TME and enhance the tumour progression, invasiveness, and metastasis. Therefore, understanding these interactions within the TME is crucial for the development of innovative cancer treatments. Extracellular vesicles (EVs) serve as carriers of various materials that include microRNAs, proteins, and lipids that play a vital role in the communication between tumour cells and non-tumour cells. EVs are actively involved in the metabolic reprogramming process. This review summarized recent findings regarding the involvement of EVs in the metabolic reprogramming of various cells in the TME of gastrointestinal cancers. Additionally, we highlight identified microRNAs involved in the reprogramming process in this group of cancers and explained the abnormal tumour metabolism targeted by exosomal cargos as well as the novel potential therapeutic approaches.</p

Down regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is associated with a very poor prognosis. Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and the prediction of patient survival. Genome-wide RNA and microRNA sequencing, bioinformatics and Machine Learning approaches to identify differentially expressed genes (DEGs), followed by validation in an additional cohort of PDAC patients has been undertaken. To identify DEGs, genome RNA sequencing and clinical data from pancreatic cancer patients were extracted from The Cancer Genome Atlas Database (TCGA). We used Kaplan-Meier analysis of survival curves was used to assess prognostic biomarkers. Ensemble learning, Random Forest (RF), Max Voting, Adaboost, Gradient boosting machines (GBM), and Extreme Gradient Boosting (XGB) techniques were used, and Gradient boosting machines (GBM) were selected with 100% accuracy for analysis. Moreover, protein-protein interaction (PPI), molecular pathways, concomitant expression of DEGs, and correlations between DEGs and clinical data were analyzed. We have evaluated candidate genes, miRNAs, and a combination of these obtained from machine learning algorithms and survival analysis. The results of Machine learning identified 23 genes with negative regulation, five genes with positive regulation, seven microRNAs with negative regulation, and 20 microRNAs with positive regulation in PDAC. Key genes BMF, FRMD4A, ADAP2, PPP1R17, and CACNG3 had the highest coefficient in the advanced stages of the disease. In addition, the survival analysis showed decreased expression of hsa.miR.642a, hsa.mir.363, CD22, BTNL9, and CTSW and overexpression of hsa.miR.153.1, hsa.miR.539, hsa.miR.412 reduced survival rate. CTSW was identified as a novel genetic marker and this was validated using RT-PCR. Machine learning algorithms may be used to Identify key dysregulated genes/miRNAs involved in the disease pathogenesis can be used to detect patients in earlier stages. Our data also demonstrated the prognostic and diagnostic value of CTSW in PDAC