Predictive and therapeutic biomarkers in chimeric antigen receptor T-cell therapy: A clinical perspective

The adoptive transfer of genetically engineered T cells modified to express a chimeric antigen receptor (CAR) has shown remarkable activity and induces long-term remissions in patients with advanced hematologic malignancies. To date, little is known about predictive indicators of therapeutic efficacy or serious toxicity after CAR T-cell therapy in clinical practice. Biomarkers are not only potentially able to inform physicians and researchers of immunotherapy targets in particular but could also be used to monitor the effectiveness of treatments and to predict incidence of side effects in some circumstances. Identification of new biomarkers can therefore not only contribute to the development of new therapeutic and prognostic strategies for CAR T-cell therapy for cancer but also help to generate improved clinical practices for early recognition and minimization of adverse effects while preserving the antitumor activity of the CAR T cells. Herein, we will consider a variety of predictive and therapeutic biomarkers in CAR T-cell therapy and the state of current understanding of their clinical utility. The incorporation of biomarker studies in CAR T-cell clinical trials and practice will help to realize the potential clinical benefit of biomarker-guided therapy.     

Expression analysis of circulating plasma long noncoding RNAs in colorectal cancer: The relevance of lncRNAs ATB and CCAT1 as potential clinical hallmarks

Long noncoding RNAs (lncRNAs) have been demonstrated to regulate a variety of cell processes and involve in the development and progression of colorectal cancer (CRC). Recently, the circulating lncRNAs have emerged as minimally invasive biomarkers for cancer diagnosis and prognosis. We aimed to examine the plasma expression level of long noncoding RNAs lnc-ATB, lnc-CCAT1, and lnc-OCC-1 in CRC patients and evaluate the clinical values. A total of 74 pretreatment CRC and 74 healthy blood biopsies were subjected to differentially evaluate the expression levels of three lncRNAs (OCC-1, CCAT1, and ATB). Briefly, after plasma separation and total RNA extraction, RNAs were reversely transcribed to complementary DNA followed by amplification using a quantitative real-time polymerase chain reaction technique for lncRNA expression analysis. The results showed that the expression levels of lnc-ATB (p < 0.001) and CCAT1 (p = 0.024), but not OCC-1 (p = 0.24), were significantly upregulated in the CRC compared with the healthy group. The calculated AUC of ROC was 0.78 (95% confidence interval [CI]: 0.811–0.94) for lnc-ATB and 0.64 (95% CI: 0.811–0.94) for CCAT1, which were indicative of a high discriminatory power (p < 0.001). The highest accuracy for lncRNA-ATB was obtained at a cutoff point of 2.5, which corresponded to sensitivity and specificity of 82% and 75%, respectively. Our results suggested a significant accuracy of lncRNA-ATB and lncRNA-CCAT1 in distinguishing CRC patients from healthy individuals.     

Prevalence of Cryptosporidium sp. infection in diarrheic and non-diarrheic humans in Iran

For evaluation of the prevalence of Cryptosporidium sp. infection in diarrheic and non-diarrheic humans in Iran, fecal specimens from diarrheic (n = 129) and non-diarrheic humans (n = 271) were collected and examined for the presence of Cryptosporidium sp. oocysts. The presence of Cryptosporidium sp. oocysts was determined by Ziehl- Neelsen acid-fast staining. Humans were grouped according to their age as follows: younger than 15, 16-25, 26-35, 36-50, and over 51 years. The results showed that the overall prevalence of infection in all 400 samples was 10.8%, but the prevalence (25.6%) in diarrheic humans was higher than that (3.7%) in non-diarrheic humans. Oocysts of Cryptosporidium sp. were detected in the feces of 21.4%, 9.3%, 8.8%, 6.7% and 5.7% of different age groups, respectively. The intensity of oocysts was significantly higher in diarrheic humans than in non-diarrheic ones. There was a significant association between Cryptosporidium sp. infection and occurrence of diarrhea (P < 0.05). The results indicate that Cryptosporidium sp. infection is prevalent in diarrheic humans in Iran.     

Destabilization of DJ-1 by familial substitution and oxidative modifications: implications for Parkinson's disease

Parkinson's disease (PD) is a neurodegenerative disorder characterized by oxidative stress and protein aggregation. Both toxic phenomena are mitigated by DJ-1, a homodimeric protein with proposed antioxidant and chaperone activities. The neuroprotective function of DJ-1 is modulated by oxidation of cysteine 106, a residue that may act as an oxidative stress sensor. Loss-of-function mutations in the DJ-1 gene have been linked to early onset PD, and age-dependent over-oxidation of DJ-1 is thought to contribute to sporadic PD. The familial mutant L166P fails to dimerize and is rapidly degraded, suggesting that protein destabilization accounts for the dysfunction of this mutant. In this study, we investigated how the structure and stability of DJ-1 are impacted by two other pathogenic substitutions (M26I and E64D) and by over-oxidation with H2O2. Whereas the recombinant wild-type protein and E64D both adopted a stable dimeric structure, M26I showed an increased propensity to aggregate and decreased secondary structure. Similar to M26I, over-oxidized wild-type DJ-1 exhibited reduced secondary structure, and this property correlated with destabilization of the dimer. The engineered mutant C106A had a greater thermodynamic stability and was more resistant to oxidation-induced destabilization than the wild-type protein. These results suggest that (i) the M26I substitution and over-oxidation destabilize dimeric DJ-1, and (ii) the oxidation of cysteine 106 contributes to DJ-1 destabilization. Our findings provide a structural basis for DJ-1 dysfunction in familial and sporadic PD, and they suggest that dimer stabilization is a reasonable therapeutic strategy to treat both forms of this disorder.     

Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model

The most common kind of cancer among women is breast cancer. Understanding the tumor microenvironment and the interactions between individual cells and cytokines assists us in arriving at more effective treatments. Here, we develop a data-driven mathematical model to investigate the dynamics of key cell types and cytokines involved in breast cancer development. We use time-course gene expression profiles of a mouse model to estimate the relative abundance of cells and cytokines. We then employ a least-squares optimization method to evaluate the model’s parameters based on the mice data. The resulting dynamics of the cells and cytokines obtained from the optimal set of parameters exhibit a decent agreement between the data and predictions. We perform a sensitivity analysis to identify the crucial parameters of the model and then perform a local bifurcation on them. The results reveal a strong connection between adipocytes, IL6, and the cancer population, suggesting them as potential targets for therapies.     

Concentration and ecological risk of heavy metal in street dusts of Eslamshahr,Iran

This study was done to evaluate heavy metal concentrations in street dust samples, to compare measured concentrations in samples to background concentrations in order to make evaluations for pollution indices, and to describe the quality of street dust in the studied area in relation to pollution. A total of 30 cumulative samples were collected from the streets of Eslamshahr City. Concentrations of heavy metals were determined using an Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES). Results determined mean concentrations (mg/kg) of the heavy metals Cd, Cr, Cu, Ni, Pb, and Zn, in collected samples of street dust as 0.34, 35.1, 239, 42.4, 71.3, and 573, respectively. I_geo values for Cd and Cr, Cu, Ni, Pb, and Zn showed level of moderately polluted, unpolluted, moderately to strongly polluted, unpolluted, moderately polluted and moderately to strongly polluted, respectively. The pattern of total metal concentrations in the studied area was ranked as follows: Zn and Cu>Pb>Cd>Ni>Cr. The highest values for the monomial potential ecological risk (E_r) were observed for Cd (114). The mean level of RI for the studied soil samples was 192 (91.3–244), which is classed as presenting a strong potential ecological risk.     

Keratins and epidermolysis bullosa simplex

Keratin intermediate filaments play an important role in maintaining the integrity of the skin structure. Understanding the importance of this subject is possible with the investigation of keratin defects in epidermolysis bullosa simplex (EBS). Nowadays, in addition to clinical criteria, new molecular diagnostic methods, such as next generation sequencing, can help to distinguish the subgroups of EBS more precisely. Because the most important and most commonly occurring molecular defects in these patients are the defects of keratins 5 and14 (KRT5 and KRT14), comprehending the nature structure of these proteins and their involved processes can be very effective in understanding the pathophysiology of this disease and providing new and effective therapeutic platforms to treat it. Here, we summarized the various aspects of the presence of KRT5 and KRT14 in the epidermis, their relation to the incidence and severity of EBS phenotypes, and the processes with which these proteins can affect them.     

Melatonin: A new inhibitor agent for cervical cancer treatment

Cervical cancer is one of the most common cancers between women and is known as the third leading cause of female cancer related deaths annually. Its detection in early stages allows it to be a preventable and generally treatable disease. Increasing evidence revealed, a variety of internal and external factors are associated with initiation and progression of cervical cancer pathogenesis. Human papilloma virus infection is found as a major cause of cervical cancer. Other molecular and biochemical alterations as well as genetic and epigenetic changes are related cervical cancer progression. Current treatment options often have severe side effects and toxicities thus, new adjuvant agents having synergistic effects and ability to decrease different side effects and toxicities are needed. Melatonin is an indolamine compound secreted from the pineal gland which shows wide range anticancer activities. A large amount of studies indicated inhibitory effects of melatonin against various types of cancers. In addition, experimental evidence reports inhibitory effects of melatonin as an adjuvant therapy on cervical cancer by targeting a sequence of different molecular mechanisms. Herein, for first time, we summarized anticervical cancer effects of melatonin and its underlying molecular mechanisms.