CD44 Gene rs8193 C Allele Is Significantly Enriched in Gastric Cancer Patients

CD44 rs13347C>T Variants in 3'UTR and Prostate Neoplasms: A Case-control Study and Bioinformatics Approach

CD44, a cell-surface receptor and a key player in cellular signaling, can act as both tumor suppressor and promoter. This study aimed to investigate the association of CD44 rs13347C>T variants with prostate neoplasms, including both benign prostatic hyperplasia (BPH) and prostate cancers using a case-control and bioinformatics approach. Genomic DNA was extracted from 545 blood samples (225 BPH, 225 prostate cancers, and 95 control) and the CD44 rs13347C>T genotypes were identified using PCR-RFLP. We explored miRNA interactions using the miRNASNP-v3 database and GeneMANIA for co-expression networks. Results showed cancer patients had significantly higher PSA levels compared to both controls (p= 0.03) and BPH (p= 0.01). Additionally, digital rectal examination-positive and smoker BPH patients showed significantly the increased cancer risk (p= 0.004, p= 0.046). Prostate cancer group indicated significantly higher frequency of CD44 rs13347C>T mutant allele compared to control and BPH groups, particularly in TT and CT+TT genotypes (p < 0.05). miRNA SNP-v3 database predicted the mutant allele of CD44 rs13347C>T could lose 1 and gain 6 miRNAs for a new site created. Co-expression analysis revealed a direct interaction between CD44 and aryl hydrocarbon receptor (AHR), a gene known to be dysregulated in smokers. Furthermore, these genes alone display co-expression interactions with integrin subunit alpha 4 (ITGA4), protein plays a paradoxical role, both suppressing and promoting tumors. Based on the findings, the mutant allele of CD44 rs13347C>T may disrupt miRNA binding, which may potentially impact CD44, AHR, and ITGA4 expression in smokers, possibly contributing to prostate cancer progression.

Mutant Allele of CD44 (rs8193C>T) and Pum2 Regulatory Element as A Prognosis Factor of Prostate Neoplasms: A Case-Control and In Silico Studies

OBJECTIVE

Expression of CD44 variant 6 (CD44v6) as a homing-associated cell adhesion molecule (HCAM), has proved to change most cancer cells. Aim of the study is the effect of mutant allele of CD44 (rs8193C>T) and Pum2 regulatory element as a prognosis factor of prostate neoplasms: a case-control and in silico studies in the Mazandaran province-Iran.

MATERIALS AND METHODS

In a case-control study, CD44-rs8193C>T genotyping of the 420 prostate neoplasms (210 benign prostatic hyperplasia (BPH) patients and 210 prostate cancer patients) and 150 healthy samples are performed by the touchdown polymerase chain reaction with confronting two-pair primers (PCR-CTPP) method. The T mutant allele effects on the mRNA structure and cell pathways were also investigated in silico methods.

RESULTS

Our results showed that the increase of T mutant allele frequency was significantly associated with BPH compared with prostate cancer. Furthermore, results showed TT genotype was significantly associated with BPH [odds ratio (OR)=0.572 and P=0.015], and also influenced the CD44v6 transcript secondary structure, miRNA binding, and regulatory element-binding site for Pum2 protein. Attachment of Pum2 to standard CD44 transcript may lead to transcript isoform-switching and shift-expression to a variety of CD44 isoforms, which can trigger some of the cell signaling pathways, such as Nanog-Stat, PKC-Nanog, and PKC-Twist.

CONCLUSION

Based on this, the presence of the T mutant allele of CD44 (rs8193C>T) in the populations may create a regulatory element-binding site for Pum2. So, it could be known as a prognosis factor and prediction of prostate neoplasms. However, more comprehensive studies in different populations (with various ethnicities and large population sizes), and also CD44v6 gene expression studies in protein and transcript levels are required to confirm our data.

The rs13347 Polymorphism of the CD44 Gene Is Associated with the Risk of Kidney Stones Disease in the Chinese Han Population of Northeast Sichuan, China

OBJECTIVE

To investigate the association between the rs13347 polymorphism of the CD44 gene and the risk of kidney stone disease (KSD) in the Han population of northeast Sichuan, China, so as to provide a theoretical basis for the treatment of KSD.

METHODS

We used PCR-restriction fragment length polymorphism (RFLP) technique to perform genotyping at rs13347 locus of the CD44 gene in the KSD group and the gontrol group. SNP Hardy-Weinberg equilibrium (HWE) testing was used to confirm the balance of genetic inheritance. Multivariate logistic regression analysis was used for the assessment of rs13347 polymorphism and the risk of developing KSD and to compare the relationship between the polymorphism of rs13347 and clinical characteristics of patients with KSD.

RESULTS

Genotypic results of rs13347 locus of the CD44 gene in the two groups were consistent with the SNP-HWE test, indicating the genetic balance. At the same time, multivariate logistic regression analysis indicated that subjects with CT and TT genotypes at rs13347 in the CD44 gene were more likely to have KSD, and there was a higher prevalence rate in males. Furthermore, carrying allele T at rs13347 was also a risk factor for KSD. In addition, people carrying CT and TT genotypes at rs13347 also have a significantly increased risk of relapsing KSD.

CONCLUSION

The rs13347 polymorphism of the CD44 gene may be associated with the risk of KSD in the Han population of northeast Sichuan in China, and the recurrence rate of KSD in the carriers of CT and TT genotypes is higher.

Battling Chemoresistance in Cancer: Root Causes and Strategies to Uproot Them

With nearly 10 million deaths, cancer is the leading cause of mortality worldwide. Along with major key parameters that control cancer treatment management, such as diagnosis, resistance to the classical and new chemotherapeutic reagents continues to be a significant problem. Intrinsic or acquired chemoresistance leads to cancer recurrence in many cases that eventually causes failure in the successful treatment and death of cancer patients. Various determinants, including tumor heterogeneity and tumor microenvironment, could cause chemoresistance through a diverse range of mechanisms. In this review, we summarize the key determinants and the underlying mechanisms by which chemoresistance appears. We then describe which strategies have been implemented and studied to combat such a lethal phenomenon in the management of cancer treatment, with emphasis on the need to improve the early diagnosis of cancer complemented by combination therapy.

Immune Response-Related Genes - STAT4, IL8RA and CCR7 Polymorphisms in Lung Cancer: A Case-Control Study in China

Purpose

This study aimed to evaluate the associations between immune response-related genes – STAT4, IL8RA and CCR7 polymorphisms and risk of lung cancer.

Methods

Seven polymorphisms of STAT4, IL8RA and CCR7 were genotyped in 350 cases and 350 controls using a MassARRAY platform.

Results

The STAT4 rs1400656-G and rs7574865-T alleles may decrease the susceptibility to lung cancer (p_rs1400656= 0.020; p_rs7574865= 0.014); while IL8RA rs1008562-C and CCR7 rs3136685-T alleles may increase the risk of disease (p_rs1008562< 0.001; p_rs3136685= 0.018). The STAT4 rs1400656-GA and rs7574865-GT genotypes were determined as protective genotypes against lung cancer risk (p_rs1400656= 0.048; p_rs7574865= 0.042). However, IL8RA rs1008562-CG/GG and CCR7 rs3136685-TT genotypes were significantly associated with an elevated risk of disease (p_rs1008562< 0.0001; p_rs3136685= 0.020). Genetic model analysis revealed that STAT4 rs1400656 and rs7574865 were relate to a declining risk of disease under dominant and log-additive models (rs1400656: p_dominant = 0.014, p_log-additive= 0.016; rs7574865: p_dominant = 0.013, p_log-additive= 0.013). In contrast, IL8RA rs1008562 exhibited a strong correlation with an elevated risk of lung cancer under all three models (p_dominant < 0.0001, p_recessive = 0.011, p_log-additive< 0.0001). Moreover, CCR7 rs3136685 was correlated with an increased risk of disease under recessive and log-additive models (p_recessive = 0.007, p_log-additive= 0.019); and CCR7 rs17708087 was also identified as a risk factor in the dominant model (p = 0.038).

Conclusion

These results widen the scope of knowledge about the association between STAT4, IL8RA and CCR7 polymorphisms and risk of lung cancer.