scholarly journals A Comprehensive Expression Profile of tRNA-Derived Fragments in Papillary Thyroid Cancer

2020 ◽  
pp. 1-7
Author(s):  
Chunfu Zhu ◽  
Shiting Shan ◽  
Yuting Wang ◽  
Chunfu Zhu

Objective: In recent years, the incidence of thyroid cancer has been increasing. Papillary thyroid cancer (PTC) is the most common type of malignant thyroid tumor, accounting for approximately 85% of thyroid cancer cases. Although the genetic background of PTC has been studied extensively, relatively little is known about the role of small non-coding RNA (sncRNA) in this disease. tRNA-derived fragments (tRFs) represent a newly discovered class of sncRNAs that exist in many species and play a role in many biological processes. Methods: In this study, we used RNA sequencing to analyse the expression of tRFs in fresh frozen specimens from PTC tissues and normal tissues adjacent to the tumors. Through this analysis, we identified 49 unique tRFs and transfer RNA halves and then performed quantitative PCR to determine the expression levels of these molecules and to make bioinformatic predictions. Conclusion: In this report, we provide a comprehensive catalog of tRFs in PTC and assess the abnormal expression of these fragments. These preliminary findings can be used as the basis for further research regarding the functional role of tRFs in patients with PTC.

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Xupeng Zhao ◽  
Yingjie Li ◽  
Yong Zhou

Abstract Background MicroRNA (MiRNA) is a small non-coding RNA which is implicated in a cohort of biological function in cancer, including proliferation, metastasis, apoptosis and invasion. MiR-96 has been reported to be involved in many cancers, including papillary thyroid cancer. However, the role of miR-96-3p in papillary thyroid cancer metastasis is still unclear. Methods qRT-PCR is used to detect the level of miR-96-3p and mRNA of SDHB in PTC tissues and cell lines. Western blot assays are used to verify the protein expression of SDHB. The transwell assays are performed to identify the migration ability of PTC cell lines. Moreover, dual-luciferase 3′-UTR reporter assays are chosen to illuminate the direct target of miR-96-3p. Results The relative miR-96-3p upregulate in PTC tissues and three PTC cell lines (B-CPAP, K-1 and TPC-1 cells) while the relative SDHB is opposite. Our results revealed that the miR-96-3p promotes metastasis and invasion in PTC cell lines (K-1 and TPC-1 cells) by direct targeting SDHB and influence the downstream protein AKT. Conclusions Taken together, the miR-96-3p is involved in PTC metastasis and invasion by direct targeting SDHB and the downstream molecule AKT and mTOR.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Xin Zhang ◽  
Yulu Gu ◽  
Xiaoli Liu ◽  
Yaqin Yu ◽  
Jieping Shi ◽  
...  

The incidence rate of papillary thyroid cancer (PTC) has increased over the past decades, but the pathogenesis remains unclear. rs2910164, located in pre-miR-146a, has been studied in PTCs with different ethnicity, but the results were inconsistent. Here we evaluate the association between rs2910164 polymorphism and PTC and investigate the effect of this polymorphism on patients’ clinicopathological characteristics. 1238 PTC patients and 1275 controls, all Han population, from Northern China, were included in our study. rs2910164 was genotyped using Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF-MS). Analysis of inheritance model was performed using the SNPStats program. Strength of association was assessed by odds ratio (OR) and 95% confidence interval (CI). Overall, no statistical difference in rs2910164 genotype distribution and allelic frequencies between cases and controls was found, and patients with different genotypes had similar clinicopathological characteristics in terms of stage, location, concurrent of benign thyroid tumor, and thyroiditis, while, as the number of G alleles increased, proportion of patients aged ≥45 years and those without metastasis increased (Ptrend<0.001andPtrend=0.003, resp.). However, no association remained significant after Bonferroni correction under any model of inheritance. Our results suggest no association between rs2910164 polymorphism with PTC and patients’ clinicopathological characteristics.


2018 ◽  
Vol 127 (07) ◽  
pp. 437-444 ◽  
Author(s):  
Fatma Ela Keskin ◽  
Hande Mefkure Ozkaya ◽  
Sina Ferahman ◽  
Ozlem Haliloglu ◽  
Adem Karatas ◽  
...  

Abstract Purpose Prevalence of papillary thyroid cancer (PTC) is increased in patients with acromegaly. We aimed to determine the protein expression of BRAF, RAS, RET, insulin like growth factor 1(IGF1), Galectine 3, CD56 in patients with PTC related acromegaly and to compare the extensity of these expressions with normal PTC patients and benign thyroid nodules. Methods We studied 313 patients with acromegaly followed in Cerrahpasa Medical Faculty, Endocrinology and Metabolism Clinic between 1998 and 2015. On the basis of availability of pathological specimen of thyroid tissues, thyroid samples of 13 patients from 19 with acromegaly related PTC (APTC), 20 normal PTC and 20 patients with multinodulary goiter (MNG) were histopathologically evaluated. Protein expressions were determined via immunohistochemical staining in ex-vivo tumor samples and benign nodules. Results The incidence of PTC in acromegaly patients were 6% (n=19). Among patients with PTC, APTC and MNG, all the immunohistochemical protein expressions we have studied were higher in papillary thyroid cancer groups (p<0.01, for all). Between PTC group without acromegaly and APTC, galectin 3 and IGF1 expression was significantly higher in acromegalic patients (p<0.01 for all) while RAS was predominantly higher in PTC patients without acromegaly (p<0.01). Conclusion BRAF expression was not higher in PTC with acromegaly patients compared to PTC patients without acromegaly. Galectine 3 and IGF1 were expressed more intensively in APTC. These positive protein expressions may have more influence on determining malign nodules among acromegaly patients.


2019 ◽  
Vol 21 (5) ◽  
pp. e3083 ◽  
Author(s):  
Zhenghui Cui ◽  
Zhiyan Luo ◽  
Zimei Lin ◽  
Liuhong Shi ◽  
Yurong Hong ◽  
...  

2016 ◽  
Vol 17 (6) ◽  
pp. 909 ◽  
Author(s):  
Ewelina Perdas ◽  
Robert Stawski ◽  
Dariusz Nowak ◽  
Maria Zubrzycka

2017 ◽  
Vol 69 (6) ◽  
pp. 2694-2697
Author(s):  
Hisham Sameer Alhathloul ◽  
Mohammed Ahmed Almasabi ◽  
Abdulghani Mohammad Lodhi

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Ben Ma ◽  
Tian Liao ◽  
Duo Wen ◽  
Chuanpeng Dong ◽  
Li Zhou ◽  
...  

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