This study examined Echinococcus spp. genotypes and genetic variants isolated from humans as well as domestic and wild animals from the Qinghai-Tibetan Plateau Area using the cox1 gene. All samples except the pika isolates were identified as the Echinococcus granulosus sensu stricto. Sixteen different haplotypes with considerable intraspecific variation were detected and characterized in mitochondrial cox1 sequences. The parsimonious network of cox1 haplotypes showed star-like features, and the neutrality indexes computed via Tajima's D and Fu's Fs tests showed high negative values in E. granulosus s. s., indicating deviations from neutrality; the Fst values were low among the populations, implying that the populations were not genetically differentiated. The pika isolates were identified as E. multilocularis and E. shiquicus. Only one haplotype was recognized in the pika isolates. E. granulosus s. s. was the predominant species found in animals and humans, followed by E. multilocularis and E. shiquicus, with high genetic diversity circulating among the animals and humans in this area. Further studies are needed to cover many sample collection sites and larger numbers of pathogen isolates, which may reveal abundant strains and/or other haplotypes in the hydatid cysts infecting human and animal populations of the QTPA, China.
Objective
The study aimed to investigate the value of solute carrier organic anion transporter family member 4A1 (SLCO4A1) in thyroid cancer mainly from three aspects: expression, prognosis, and biological function analyses.
Methods
Based on various bioinformatic approaches, genes co-expressed with vascular endothelial growth factor C (VEGFC) in thyroid cancer were used for further survival and expression analyses to identify the target gene. After evaluation of the SLCO4A1 expression levels in thyroid cancer, Cox regression analysis was utilized to predict the risk factors for survival of thyroid cancer patients. And receiving operating characteristic curve analysis was performed to validate the prognostic value of SLCO4A1. Additionally, WebGestalt was employed for enrichment analysis of SLCO4A1 and its co-expressed genes. Further, the relation between SLCO4A1 and neutrophil was analyzed, followed by exploring the association of SLCO4A1 with immunomodulators.
Results
A total of 38 consistent VEGFC co-expressed genes were generated, and SLCO4A1 was selected as the target gene due to its oncogenic characteristics. SLCO4A1 was highly expressed in thyroid cancer at both gene and protein levels, and SLCO4A1 mRNA expression was significantly associated with the cancer stage (all
P
<0.05). Besides, high SLCO4A1 expression led to unfavorable progression-free survival (PFS) of thyroid cancer patients (
P
=0.0066). Further, Cox regression analysis indicated that high SLCO4A1 expression was an independent predictor of poor PFS in patients with papillary thyroid cancer, particularly in patients at stage 1 and female patients (all
P
<0.001). The enrichment analysis results showed that SLCO41A was involved in the neutrophil-mediated immunity pathway. Moreover, SLCO4A1 had a positive relation with neutrophils (all
P
<0.05). Finally, a significant correlation between SLCO4A1 and immunomodulators was observed (all
P
<0.001).
Conclusion
SLCO4A1 was a potential prognostic biomarker for papillary thyroid cancer patients. And SLCO4A1 might affect PFS in thyroid cancer patients by positive regulation of neutrophil-mediated immunity pathway.
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