[1]王承霞,朱玉蓉.乳腺癌患者血清中 tRF-32-Q99P9P9NH57SJ的表达及临床意义[J].现代检验医学杂志,2019,34(06):16-19.[doi:10.3969 / j.issn.1671-7414.2019.06.004]
 WANG Cheng-xia,ZHU Yu-rong.Expression and Clinical Significance of tRF-32-Q99P9P9NH57SJ in Serum of Patients with Breast Cancer[J].Journal of Modern Laboratory Medicine,2019,34(06):16-19.[doi:10.3969 / j.issn.1671-7414.2019.06.004]
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乳腺癌患者血清中 tRF-32-Q99P9P9NH57SJ的表达及临床意义()
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《现代检验医学杂志》[ISSN:/CN:]

卷:
第34卷
期数:
2019年06期
页码:
16-19
栏目:
论著
出版日期:
2019-12-30

文章信息/Info

Title:
Expression and Clinical Significance of tRF-32-Q99P9P9NH57SJ in Serum of Patients with Breast Cancer
文章编号:
1671-7414(2019)06-016-04
作者:
王承霞朱玉蓉
(江苏省肿瘤医院& 江苏省肿瘤防治研究所& 南京医科大学附属肿瘤医院检验科,南京 210009)
Author(s):
WANG Cheng-xiaZHU Yu-rong
(Department of Clinical Laboratory, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, China)
关键词:
乳腺癌tRF-32-Q99P9P9NH57SJ荧光定量PCR临床诊断
分类号:
R737.9;R730.43
DOI:
10.3969 / j.issn.1671-7414.2019.06.004
文献标志码:
A
摘要:
目的 检测tRNA 及其来源片段(tRNA-derived fragments)- tRF-32-Q99P9P9NH57SJ(tRF-32)在乳腺癌患者 血清中的表达及意义。方法 选取2017 年11 月~ 2019 年2 月在江苏省肿瘤医院乳腺外科确诊的51 例乳腺癌患者及同 期25 例健康对照者的血清,记录患者临床资料。运用RT-PCR 检测血清tRF-32 的表达水平,分析其表达水平与临床病 理资料的关系。结果 51 例乳腺癌患者血清中tRF-32 的表达量(13.84 ± 2.62)与25 例健康对照组血清中的tRF-32 表 达量(39.47 ± 7.21)比较,差异有统计学意义(t = 4.091, P < 0.000 1)。临床TNM 分期I-II 期的tRF-32 表达量(16.97 ± 3.315)明显高于 III-IV 期tRF-32 表达量(7.07 ± 2.83),差异有统计学意义(t = 2.241, P = 0.029)。无淋巴结转移 患者血清中的tRF-32 表达量 (18.75 ± 3.91) 明显高于有淋巴结转移患者血清中tRF-32 表达量(7.80 ± 2.51),差异有统 计学意义(t = 2.47, P = 0.017)。乳腺癌患者tRF-32 表达量与年龄无关(χ2=0.621,P >0.05),与TNM 临床分期(χ2=8.463, P = 0.004)以及淋巴结是否转移相关(χ2 =5.856, P = 0.016)。受试者工作曲线(receiver operating characteristic curve, ROC)显示血清tRF-32 诊断乳腺癌的曲线下面积(area under curve, AUC)是0.776(95% CI: 0.673 ~ 0.880),敏感度 和特异度分别为84.0 % 和68.8%。结论 tRF-32 在乳腺癌患者血清中低表达,tRF-32 的表达水平与乳腺癌的临床分期 和淋巴结转移有关。
Abstract:
Objective To investigate the expression and significance of tRF-32 in breast cancer serum. Methods The serum samples were collected form 51 patients with breast cancer in Jiangsu Cancer Hospital from November 2017 and February 2019, at the same time serum form 25 healthy controls were collected. The clinical data of patients were recorded. The expression level of tRF-32 was detected by RT-PCR, and analyzed its relationship with clinicopathologic factor of patients with breast cancer. Results The serum level of tRF-32 in 51 patients with breast cancer (13.84 ± 2.62) was different form that in 25 healthy control group (39.47 ± 7.21) and they had statistical difference (t = 4.091, P < 0.000 1). Serum tRF-32 in patients with breast cancer was significantly difference between TNM stage I-II and stage III-IV (t = 2.241, P = 0.029). Meanwhile, the expression of tRF-32 in patients without lymph node metastasis was higher than those with lymph node metastasis (t = 2.47, P = 0.017). The level of serum tRF-32 was no correlated with ages (χ2=0.621,P >0.05). While there were significant association with TNM stage (χ2 =8.463, P = 0.004) and lymph node metastasis (χ2 =5.856, P = 0.016). Finally, the ROC-AUC for tRF-32 was 0.776 (95% CI: 0.673 ~0.880) for differentiating breast cancer patients from healthy controls, with a sensitivity of 84.0% and specificity of 68.8%. Conclusion tRF-32 was lower expression in patient’s serum with breast cancer. The expression level of tRF-32 was related to the clinical stage and lymph node metastasis of breast cancer.

参考文献/References:

[1] CHEN Wanqing, ZHENG Rongshou, BAADE P D, et al. Cancer statistics in China, 2015[J]. CA: A Cancer Journal for Clinicians, 2016, 66(2):115-132.
[2] OLTMANN J, HESELMEYER-HADDAD K, HERNANDEZ L S, et al. Aneuploidy, TP53 mutation, and amplification of MYC correlate with increased intratumor heterogeneity and poor prognosis of breast cancer patients[J]. Genes, Chromosomes & Cancer, 2018, 57(4):165-175.
[3] SIEGEL R L, MILLER K D, JEMAL A. Cancer Statistics, 2017[J]. CA: A Cancer Journal for Clinicians 2017, 67(1):7-30.
[4] PIVOT X, COX D G: A new era for treatment development in HER2-positive breast cancer[J]. The Lancet Oncology, 2018, 19(2):160-162.
[5] JANNING M, MULLER V, VETTORAZZI E, et al. Evaluation of soluble carbonic anhydrase IX as predictive marker for efficacy of bevacizumab: a biomarker analysis from the geparquinto phase III neoadjuvant breast cancer trial[J]. International Journal of Cancer, 2019, 45(3):857-868.
[6] POMPON J, GARCIA-BLANCO M A. RNA: jack of all trades and master of all[J]. Cell, 2015, 160(4):579- 580.
[7] LI Siqi, XU Zhengping, SHENG Jinghao. tRNA-derived small RNA: A novel regulatory small non-coding RNA[J]. Genes, 2018, 9(5):246.
[8] ROMANO G, VENEZIANO D, ACUNZO M, et al. Small non-coding RNA and cancer[J]. Carcinogenesis, 2017, 38(5):485-491.
[9] ELKORDY A, MISHIMA E, NIIZUMA K, et al. Stressinduced tRNA cleavage and tiRNA generation in rat neuronal PC12 cells[J]. Journal of Neurochemistry, 2018, 146(5):560-569.
[10] HUANG Shiqiong, SUN Bao, XIONG Zongping, et al.The dysregulation of tRNAs and tRNA derivatives in cancer[J]. Journal of Experimental & Clinical Cancer Research, 2018, 37(1):101.
[11] SHAO Yang, SUN Qiangling, LIU Xiaomin, et al. tRFLeu- CAG promotes cell proliferation and cell cycle in non-small cell lung cancer[J]. Chemical Biology & Drug design, 2017, 90(5):730-738.
[12] ZHOU Kun, DIEBEL K W, HOLY J, et al. A tRNA fragment, tRF5-Glu, regulates BCAR3 expression and proliferation in ovarian cancer cells[J]. Oncotarget, 2017, 8(56):95377-95391.
[13] GOODARZI H, LIU Xuhang, NGUYEN H C, et al. Endogenous tRNA-derived fragments suppress breast cancer progression via YBX1 displacement[J]. Cell, 2015, 161(4):790-802.
[14] DHAHBI J M, SPINDLER S R, ATAMNA H, et al. Deep sequencing of serum small RNAs identifies patterns of 5’ trna half and YRNA fragment expression associated with breast cancer[J]. Biomarkers in cancer, 2014, 6:37-47.
[15] COSENTINO C, TOIVONEN S, DIAZ VILLAMIL E, et al. Pancreatic beta-cell tRNA hypomethylation and fragmentation link TRMT10A deficiency with diabetes[J]. Nucleic Acids Research, 2018, 46(19):10302-10318.
[16] SUN Chunxiao, YANG Fan, ZHANG Yanhong, et al. tRNA-derived fragments as novel predictive biomarkers for trastuzumab-resistant breast cancer[J]. Cellular Physiology and Biochemistry, 2018, 49(2):419-431.
[17] GOGAKOS T, BROWN M, GARZIA A, et al. Characterizing expression and processing of precursor and mature human tRNAs by Hydro-tRNAseq and PARCLIP[ J]. Cell Reports, 2017, 20(6):1463-1475.

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备注/Memo

备注/Memo:
作者简介:王承霞(1973- )女,本科,主管技师,主要研究方向为肿瘤分子诊断,E-mail:newwcx@163.com。收稿日期:2019-09-05
更新日期/Last Update: 2019-12-25