There are more than 400 pure dog breeds developed through intentional artificial selection and purebred breeding. Purebred animals have higher risk of inbreeding depression and hereditary diseases. We investigated the genetic diversity and structure of three dog breeds in South Korea by using 12 microsatellite loci for one Korean native dog breed, Sapsaree, and two foreign breeds, German shepherd and Belgian Malinois. The mean allele number of nine loci across all dog breeds was 4.833, and the number of alleles per locus ranged from 2 to 8. The mean of expected and observed heterozygosity were 0.415 and 0.577, respectively. Sapsaree, Korean native dog, had higher level of genetic diversity than the foreign German shepherd and Belgian Malinois. The highest mean value of polymorphism information content was found in Sapsaree (0.480), followed by Belgian Malinois (0.373) and German shepherd (0.355). Pairwise genetic differentiation was estimated using fixation index F ST . Sapsaree and German shepherd (F ST = 0.2536) and Sapsaree and Belgian Malinois (F ST = 0.2522) had very great genetic differentiation, while moderate level of genetic differentiation was observed between German shepherd and Belgian Malinois (F ST = 0.1003). These genetic information and structure of the three dog breeds will be effective in conservation and preservation of the genetic diversity of the three dog breeds.
Although pathological observations provide approximate prognoses, it is difficult to achieve prognosis in patients with existing prognostic factors. Therefore, it is very important to find appropriate biomarkers to achieve accurate cancer prognosis. Renal cell carcinoma (RCC) has several subtypes, the discrimination of which is crucial for proper treatment. Here, we present a novel biomarker, VNN3, which is used to prognose clear cell renal cell carcinoma (ccRCC), the most common and aggressive subtype of kidney cancer. Patient information analyzed in our study was extracted from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts. VNN3 expression was considerably higher in stages III and IV than in stages I and II. Moreover, Kaplan–Meier curves associated high VNN3 expression with poor prognoses (TCGA,
p
< .0001; ICGC,
p
= .00076), confirming that ccRCC prognosis can be predicted via VNN3 expression patterns. Consistent with all patient results, the prognosis of patients with higher VNN3 expression was worse in both low stage (I and II) and high stage (III and IV) (TCGA,
p
< 0.0001 in stage I and II; ICGC,
p
= 0.028 in stage I and II; TCGA,
p
= 0.005 in stage III and IV). Area under the curve and receiver operating characteristic curves supported our results that highlighted VNN3 expression as a suitable ccRCC biomarker. Multivariate analysis also verified the prognostic performance of VNN3 expression (TCGA,
p
< .001; ICGC,
p
= .017). Altogether, we suggest that VNN3 is applicable as a new biomarker to establish prognosis in patients with ccRCC.
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