Laboratory Medicine ›› 2021, Vol. 36 ›› Issue (5): 535-543.DOI: 10.3969/j.issn.1673-8640.2021.05.016
Previous Articles Next Articles
YUAN Shuang, WANG Lihua
Received:
2020-06-02
Online:
2021-05-30
Published:
2021-05-30
Contact:
WANG Lihua
CLC Number:
YUAN Shuang, WANG Lihua. Analysis of key long noncoding RNA and microRNA in type Ⅰ and type Ⅱ endometrial carcinoma based on endogenous competitive network[J]. Laboratory Medicine, 2021, 36(5): 535-543.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.shjyyx.com/EN/10.3969/j.issn.1673-8640.2021.05.016
RNA名称 | 基因名称 | Log2FC | r值 |
---|---|---|---|
mRNA | NR6A1 | 1.64*** | 0.01 |
TMCC3 | 0.89* | 0.31 | |
lncRNA | LINC00667 | 1.37*** | — |
miRNA | miR-34a | 0.46 | — |
miR-34c | -1.84* | — | |
miR-449a | -2.48* | — | |
miR-449b | -1.92** | — |
RNA名称 | 基因名称 | Log2FC | r值 |
---|---|---|---|
mRNA | NR6A1 | 1.64*** | 0.01 |
TMCC3 | 0.89* | 0.31 | |
lncRNA | LINC00667 | 1.37*** | — |
miRNA | miR-34a | 0.46 | — |
miR-34c | -1.84* | — | |
miR-449a | -2.48* | — | |
miR-449b | -1.92** | — |
临床病理特征 | 例数 | LINC00667 | TMCC3 | ||||
---|---|---|---|---|---|---|---|
低表达 | 高表达 | P值 | 低表达 | 高表达 | P值 | ||
病理分型 | <0.000 1 | <0.000 1 | |||||
Ⅰ型 | 404 | 242(89.63) | 162(60.00) | 236(87.41) | 168(62.22) | ||
Ⅱ型 | 136 | 28(10.37) | 108(40.00) | 34(12.59) | 102(37.78) | ||
年龄 | 0.876 3 | 0.008 1 | |||||
<50岁 | 45 | 23(8.52) | 22(8.15) | 31(11.48) | 14(5.19) | ||
≥50岁 | 495 | 247(91.48) | 248(91.85) | 239(88.52) | 256(94.81) | ||
分化程度 | 0.000 2 | 0.005 0 | |||||
G1+G2 | 218 | 130(48.15) | 88(32.59) | 125(46.30) | 93(34.44) | ||
G3 | 322 | 140(51.85) | 182(67.41) | 145(53.70) | 177(65.56) | ||
FIGO分期 | <0.000 1 | 0.069 6 | |||||
Ⅰ+Ⅱ期 | 387 | 216(80.00) | 171(63.33) | 203(75.19) | 184(68.15) | ||
Ⅲ+Ⅳ期 | 153 | 54(20.00) | 99(36.67) | 67(24.81) | 86(31.85) |
临床病理特征 | 例数 | LINC00667 | TMCC3 | ||||
---|---|---|---|---|---|---|---|
低表达 | 高表达 | P值 | 低表达 | 高表达 | P值 | ||
病理分型 | <0.000 1 | <0.000 1 | |||||
Ⅰ型 | 404 | 242(89.63) | 162(60.00) | 236(87.41) | 168(62.22) | ||
Ⅱ型 | 136 | 28(10.37) | 108(40.00) | 34(12.59) | 102(37.78) | ||
年龄 | 0.876 3 | 0.008 1 | |||||
<50岁 | 45 | 23(8.52) | 22(8.15) | 31(11.48) | 14(5.19) | ||
≥50岁 | 495 | 247(91.48) | 248(91.85) | 239(88.52) | 256(94.81) | ||
分化程度 | 0.000 2 | 0.005 0 | |||||
G1+G2 | 218 | 130(48.15) | 88(32.59) | 125(46.30) | 93(34.44) | ||
G3 | 322 | 140(51.85) | 182(67.41) | 145(53.70) | 177(65.56) | ||
FIGO分期 | <0.000 1 | 0.069 6 | |||||
Ⅰ+Ⅱ期 | 387 | 216(80.00) | 171(63.33) | 203(75.19) | 184(68.15) | ||
Ⅲ+Ⅳ期 | 153 | 54(20.00) | 99(36.67) | 67(24.81) | 86(31.85) |
临床病理特征 | 例数 | miR-34c | miR-449a | ||||
---|---|---|---|---|---|---|---|
低表达 | 高表达 | P值 | 低表达 | 高表达 | P值 | ||
病理分型 | <0.000 1 | <0.000 1 | |||||
Ⅰ型 | 404 | 176(65.92) | 228(85.07) | 168(62.92) | 236(88.06) | ||
Ⅱ型 | 131 | 91(34.08) | 40(14.93) | 99(37.08) | 32(11.94) | ||
年龄 | 0.747 7 | 0.126 3 | |||||
<50岁 | 46 | 24(8.99) | 22(8.21) | 18(6.74) | 28(10.45) | ||
≥50岁 | 489 | 243(91.01) | 246(91.79) | 249(93.26) | 240(89.55) | ||
临床病理特征 | 例数 | miR-34c | miR-449a | ||||
低表达 | 高表达 | P值 | 低表达 | 高表达 | P值 | ||
分化程度 | <0.000 1 | <0.000 1 | |||||
G1+G2 | 219 | 69(25.84) | 150(55.97) | 67(25.09) | 152(56.72) | ||
G3 | 316 | 198(74.16) | 118(44.03) | 200(74.91) | 116(43.28) | ||
FIGO分期 | 0.001 9 | 0.000 2 | |||||
Ⅰ+Ⅱ期 | 385 | 176(65.92) | 209(77.99) | 173(64.79) | 212(79.10) | ||
Ⅲ+Ⅳ期 | 150 | 91(34.08) | 59(22.01) | 94(35.21) | 56(20.90) |
临床病理特征 | 例数 | miR-34c | miR-449a | ||||
---|---|---|---|---|---|---|---|
低表达 | 高表达 | P值 | 低表达 | 高表达 | P值 | ||
病理分型 | <0.000 1 | <0.000 1 | |||||
Ⅰ型 | 404 | 176(65.92) | 228(85.07) | 168(62.92) | 236(88.06) | ||
Ⅱ型 | 131 | 91(34.08) | 40(14.93) | 99(37.08) | 32(11.94) | ||
年龄 | 0.747 7 | 0.126 3 | |||||
<50岁 | 46 | 24(8.99) | 22(8.21) | 18(6.74) | 28(10.45) | ||
≥50岁 | 489 | 243(91.01) | 246(91.79) | 249(93.26) | 240(89.55) | ||
临床病理特征 | 例数 | miR-34c | miR-449a | ||||
低表达 | 高表达 | P值 | 低表达 | 高表达 | P值 | ||
分化程度 | <0.000 1 | <0.000 1 | |||||
G1+G2 | 219 | 69(25.84) | 150(55.97) | 67(25.09) | 152(56.72) | ||
G3 | 316 | 198(74.16) | 118(44.03) | 200(74.91) | 116(43.28) | ||
FIGO分期 | 0.001 9 | 0.000 2 | |||||
Ⅰ+Ⅱ期 | 385 | 176(65.92) | 209(77.99) | 173(64.79) | 212(79.10) | ||
Ⅲ+Ⅳ期 | 150 | 91(34.08) | 59(22.01) | 94(35.21) | 56(20.90) |
[1] |
BRAY F, FERLAY J, SOERJOMATARAM I, et al. Global cancer statistics 2018:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2018,68(6):394-424.
DOI URL |
[2] | BROOKS R A, FLEMING G F, LASTRA R R, et al. Current recommendations and recent progress in endometrial cancer[J]. CA Cancer J Clin, 2019,69(4):258-279. |
[3] |
ANASTASIADOU E, JACOB L S, SLACK F J. Non-coding RNA networks in cancer[J]. Nat Rev Cancer, 2018,18(1):5-18.
DOI URL |
[4] |
RUPAIMOOLE R, SLACK F J. MicroRNA therapeutics:towards a new era for the management of cancer and other diseases[J]. Nat Rev Drug Discov, 2017,16(3):203-222.
DOI URL |
[5] |
YAO R W, WANG Y, CHEN L L. Cellular functions of long noncoding RNAs[J]. Nat Cell Biol, 2019,21(5):542-551.
DOI URL |
[6] |
SALMENA L, POLISENO L, TAY Y, et al. A ceRNA hypojournal:the Rosetta Stone of a hidden RNA language?[J]. Cell, 2011,146(3):353-358.
DOI URL |
[7] |
XIA L, WANG Y, MENG Q, et al. Integrated bioinformatic analysis of a competing endogenous RNA network reveals a prognostic signature in endometrial cancer[J]. Front Oncol, 2019,9:448.
DOI URL |
[8] |
LI R, QU H, WANG S, et al. GDCRNATools:an R/Bioconductor package for integrative analysis of lncRNA,miRNA and mRNA data in GDC[J]. Bioinformatics, 2018,34(14):2515-2517.
DOI URL |
[9] |
LI J H, LIU S, ZHOU H, et al. StarBase v2. 0:decoding miRNA-ceRNA,miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data[J]. Nucleic Acids Res, 2013,42(Database issue):D92-D97.
DOI URL |
[10] |
JEGGARI A, MARKS D S, LARSSON E. MiRcode:a map of putative microRNA target sites in the long non-coding transcriptome[J]. Bioinformatics, 2012,28(15):2062-2063.
DOI URL |
[11] |
CHOU C H, SHRESTHA S, YANG C D, et al. MiRTarBase update 2018:a resource for experimentally validated microRNA-target interactions[J]. Nucleic Acids Res, 2018,46(D1):D296-D302.
DOI URL |
[12] |
FURIÓ-TARÍ PEDRO, TARAZONA S, GABALDÓN TONI, et al. SpongeScan:a web for detecting microRNA binding elements in lncRNA sequences[J]. Nucleic Acids Res, 2016,44(W1):W176-W180.
DOI URL |
[13] |
YU G, WANG L G, HAN Y, et al. ClusterProfiler:an R package for comparing biological themes among gene clusters[J]. OMICS, 2012,16(5):284-287.
DOI URL |
[14] | DONG P, XIONG Y, YUE J, et al. Exploring lncRNA-mediated regulatory networks in endometrial cancer cells and the tumor microenvironment:advances and challenges[J]. Cancers(Basel), 2019,11(2):234. |
[15] |
CHEN Y, BI F, AN Y, et al. Identification of pathological grade and prognosis-associated lncRNA for ovarian cancer[J]. J Cell Biochem, 2019,120(9):14444-14454.
DOI URL |
[16] |
JIANG L, MENG W, ZENG J, et al. MiR-34c oligonucleotide enhances chemosensitivity of Ishikawa cell to cisplatin by inducing apoptosis[J]. Cell Biol Int, 2013,37(6):577-583.
DOI URL |
[17] |
LI F, CHEN H, HUANG Y, et al. MiR-34c plays a role of tumor suppressor in HEC-1-B cells by targeting E2F3 protein[J]. Oncol Rep, 2015,33(6):3069-3074.
DOI URL |
[18] |
YE W, XUE J, ZHANG Q, et al. MiR-449a functions as a tumor suppressor in endometrial cancer by targeting CDC25A[J]. Oncol Rep, 2014,32(3):1193-1199.
DOI URL |
[19] | HU Y, WU A Y, XU C, et al. MicroRNA-449a inhibits tumor metastasis through AKT/ERK1/2 inactivation by targeting steroid receptor coactivator(SRC) in endometrial cancer[J]. J Cancer, 2019,10(2):547-555. |
[20] |
SOHN W J, KIM J Y, KIM D, et al. Expression and characterization of transmembrane and coiled-coil domain family 3[J]. BMB Rep, 2016,49(11):629-634.
DOI URL |
[1] | CHEN Wenju, ZHOU Yong, XU Jiajia, WANG Pan. Role of serum exosomal miR-23b-3p and miR-4429 in patients with hepatocellular carcinoma [J]. Laboratory Medicine, 2023, 38(7): 624-628. |
[2] | PAN Xin, LÜ Ying, LI Yang, LI Rongguo. Effects of miR-24-3p targeting CHD5 on migration,invasion and radiosensitivity of thyroid cancer cells [J]. Laboratory Medicine, 2023, 38(7): 640-646. |
[3] | GUO Jie, LI Haixia, LI Xiaoyun. Correlation of preoperative RPR in peripheral blood with the prognosis of endometrial carcinoma patients [J]. Laboratory Medicine, 2023, 38(7): 675-679. |
[4] | WANG Tengfei, CHEN Shan, AN Hebing, ZHOU Lei. Expressions and roles of lncRNA CRNDE and miR-384 in peripheral blood of patients with acute leukemia [J]. Laboratory Medicine, 2023, 38(7): 686-691. |
[5] | ZHANG Ying, JING Lijuan, LI Li. Relationship between the expression of miR-138 in peripheral blood mononuclear cells of hepatitis B virus proliferation in carriers [J]. Laboratory Medicine, 2023, 38(6): 559-562. |
[6] | ZHAO Jing, WANG Pei, LU Dandan, QI Dandan, LI Xuan. Expression levels of serum miR-4443 and TRAF4 in patients with hemorrhagic stroke [J]. Laboratory Medicine, 2023, 38(5): 413-418. |
[7] | ZHU Yurong, ZHANG Dan, HE Yaxing, LI Jingjing, HUANG Jing, LI Ting, LIU Peng, LIU Ronghua. Classification and epidemiology characteristics of Klebsiella pneumoniae isolated from clinic [J]. Laboratory Medicine, 2023, 38(5): 435-440. |
[8] | LIU Ruili, LI Lanjun, JIA Minlei, WANG Yihui, HAO Weina. Correlation between tumor miR-7-5p and NOVA2 levels and clinical prognosis in cancer tissues of patients with gastric cancer [J]. Laboratory Medicine, 2023, 38(4): 325-329. |
[9] | YUAN Shuang, FENG Lei, GUO Xiaofen, FU Xiaoling, XU Jing, LIU Hongyang. Relation of miR-433 in endometrial cancer tissues and its relationship with chemotherapy sensitivity [J]. Laboratory Medicine, 2023, 38(4): 337-341. |
[10] | CHEN Zhe, ZHANG Ling, LIU Jie, WANG Xia, ZHANG Bin, GAO Binghua. Relationship between serum miR-326 and chemotherapy sensitivity and prognosis in patients with treatment-related hematological malignancy [J]. Laboratory Medicine, 2023, 38(3): 251-256. |
[11] | LIU Chong, ZHANG Jing, LI Sheng, ZHAO Qi. Expressions and correlation of miR-335 and Fra-1 in breast cancer [J]. Laboratory Medicine, 2023, 38(2): 143-147. |
[12] | GAO Jianchao, WANG Sisi, ZHANG Zhisheng, ZHANG Jingli, LI Xiaoxia, MA Ke, FENG Zhilin, ZHOU Haifeng, WANG Zhanhai. Efficacy and prognosis evaluation of neo-adjuvant chemotherapy for breast cancer based on miR-206,miR-125 and miR-21 [J]. Laboratory Medicine, 2023, 38(11): 1062-1068. |
[13] | ZHU Qian, ZHU Lifang, MA Caiyun, YAO Jie. Relation of serum miR-140-5p and PGC-1α mRNA expression with vascular cognitive impairment in acute ischemic stroke patients [J]. Laboratory Medicine, 2023, 38(11): 1069-1074. |
[14] | HUANG Zhongqiang, DAI Di, HOU Tieying, LIN Faquan, LU Zhiming, LIU Xiaoqi, SHEN Minna, WU Jie, ZHANG Pingan, ZHOU Jun, XIAO Yanqun, WANG Hualiang. Multicenter performance evaluation of a 7-microRNA test kit [J]. Laboratory Medicine, 2023, 38(11): 1075-1081. |
[15] | XUE Yaze, HE Jin, TANG Shaojun. Roles of serum miR-150-5p and LTBP-2 determinations in evaluating the condition of acute cerebral infarction patients [J]. Laboratory Medicine, 2023, 38(11): 1082-1086. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||