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Background: Extranodal natural killer (NK)/T-cell lymphoma (ENKL) is a heterogeneous entity with poor survival, requiring risk stratification in affected patients. We proposed absolute lymphocyte count (ALC) as a new prognostic factor in ENKL.Patients and methods: We retrospectively analyzed 128 patients newly diagnosed with ENKL. Independent prognostic factors of survival were determined by Cox regression analysis.Results: Patients with low ALC (<1.0 × 109/l) at diagnosis tended to have more adverse clinical features. Patients with high ALC (≥1.0 × 109/l) at diagnosis had better overall survival (OS; P < 0.0001) and progression-free survival (PFS; P<0.0001), and achieved higher complete remission rates (P=0.001). Multivariate analysis with known prognostic factors showed that ALC, B symptoms and advanced stage were independent predictors for OS and PFS. Using the International Prognostic Index, Prognostic Index for Peripheral T-cell lymphoma unspecified, or Korean Prognostic Index for nasal NK/T-cell lymphoma, the majority of patients were in the low-risk category (with no or one adverse factor). ALC was helpful to differentiate the low-risk patients with different survival outcomes (P < 0.0001).Conclusions: Our data suggest that ALC at diagnosis is a novel, powerful predictor of prognosis in ENKL. Immune status at diagnosis might have an important influence on survival in patients with ENKL. [ABSTRACT FROM AUTHOR]

MicroRNA are approximately 18- to 22-nucleotide nonprotein coding molecules that play important roles in the regulation of gene expression at the posttranscriptional level. In the present study, we assessed the suitability of 8 noncoding small RNA as normalizers for microRNA (miR) quantitative analysis in milk somatic cells of lactating yaks, including 3 small nuclear RNA (snRNA; RNU1A, RNU5A, and RNU6B), 3 small nucleolar RNA (snoRNA; SNORA73A, Z30, and SNORA74A), 1 rRNA (5S), and 1 transfer RNA (Met-tRNA). The snRNA RNU1A, RNU5A, and SNORA73A were identified as the most stable references in milk somatic cells of lactating yaks. Also, a minimum of 3 reference RNA (RNU1A, RNU5A, and SNORA73A) were required for the normalization of microRNA expression data in milk somatic cells of the lactating yak. We further evaluated the suitability of the combination of RNU1A, RNU5A, and SNORA73A as reference RNA in milk somatic cells of lactating yaks via detecting the relative expression of miR 16b, miR 21-5p, miR 145, and miR 155 as microRNA of putative interest. In comparison to the colostrum period, on the whole, the expressions of the 4 microRNA were found to be upregulated at an early period and, thereafter, a declining pattern was exhibited from early to final periods in all microRNA investigated. Based on the results from this study, we recommend that the combination of RNU1A, RNU5A, and SNORA73A can be used as normalizers for microRNA quantitative analysis in future longitudinal studies on milk somatic cells of lactating yaks in relation to lactation. [ABSTRACT FROM AUTHOR]

Yak milk contains a greater percentage of protein and has better quality than bovine milk. There has been an increasing focus on yak milk and milk products during the last few years. In the present study, a PCR-based assay was developed for the specific identification of bovine milk in yak milk by designing 3 primers targeting the mitochondrial ND1 gene. The use of 3 primers in a single PCR reaction set yielded 2 amplification fragments of 293 and 190 bp from bovine milk DNA, whereas only 1 amplification fragment of 293 bp was obtained in yak milk DNA. The technique was applied to raw and heat-treated binary mixtures of yak and bovine milks and enabled the specific detection of bovine milk with a detection limit of 0.1%. The assay developed is sensitive, fast, and straightforward, and it might be useful in the quality control of yak milk and milk products. [ABSTRACT FROM AUTHOR]