scholarly journals Identification of tRNA-derived small noncoding RNAs as potential biomarkers for prediction of recurrence in triple-negative breast cancer

2018 ◽  
Vol 7 (10) ◽  
pp. 5130-5144 ◽  
Author(s):  
Wanting Feng ◽  
Yongfei Li ◽  
Jiahui Chu ◽  
Jun Li ◽  
Yanhong Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Noncoding Rnas ◽  
Small Noncoding Rnas ◽  
Potential Biomarkers

Abstract 3499: Differentially expressed small noncoding RNAs in triple-negative breast cancer

2017 ◽  
Author(s):  
Srinivas V. Koduru ◽  
Amit K. Tiwari ◽  
Ashley Leberfinger ◽  
Sprague W. Hazard ◽  
Yuka Imamura Kawasawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Noncoding Rnas ◽  
Differentially Expressed ◽  
Small Noncoding Rnas

miR-146a and miR-638 in BRCA1-deficient triple negative breast cancer tumors, as potential biomarkers for improved overall survival

2016 ◽  
Vol 16 (1) ◽  
pp. 99-107 ◽  
Author(s):  
Valentina Zavala ◽  
Elisa Pérez-Moreno ◽  
Teresa Tapia ◽  
Mauricio Camus ◽  
Pilar Carvallo
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Potential Biomarkers

Long noncoding RNAs in triple‐negative breast cancer: A new frontier in the regulation of tumorigenesis

2021 ◽  
Author(s):  
Krishan K. Thakur ◽  
Aviral Kumar ◽  
Kishore Banik ◽  
Elika Verma ◽  
Elina Khatoon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Noncoding Rnas ◽  
Long Noncoding Rnas ◽  
New Frontier

scholarly journals Identification of NUF2 and FAM83D as potential biomarkers in triple-negative breast cancer

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9975
Author(s):  
Xiuming Zhai ◽  
Zhaowei Yang ◽  
Xiji Liu ◽  
Zihe Dong ◽  
Dandan Zhou
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Survival Curve ◽  
Treatment Options ◽  
Hub Genes ◽  
Expression Levels ◽  
Link Type ◽  
Diagnosis And Prognosis ◽  
Potential Biomarkers

Background Breast cancer is a heterogeneous disease. Compared with other subtypes of breast cancer, triple-negative breast cancer (TNBC) is easy to metastasize and has a short survival time, less choice of treatment options. Here, we aimed to identify the potential biomarkers to TNBC diagnosis and prognosis. Material/Methods Three independent data sets (GSE45827, GSE38959, GSE65194) were downloaded from the Gene Expression Omnibus (GEO). The R software packages were used to integrate the gene profiles and identify differentially expressed genes (DEGs). A variety of bioinformatics tools were used to explore the hub genes, including the DAVID database, STRING database and Cytoscape software. Reverse transcription quantitative PCR (RT-qPCR) was used to verify the hub genes in 14 pairs of TNBC paired tissues. Results In this study, we screened out 161 DEGs between 222 non-TNBC and 126 TNBC samples, of which 105 genes were up-regulated and 56 were down-regulated. These DEGs were enriched for 27 GO terms and two pathways. GO analysis enriched mainly in “cell division”, “chromosome, centromeric region” and “microtubule motor activity”. KEGG pathway analysis enriched mostly in “Cell cycle” and “Oocyte meiosis”. PPI network was constructed and then 10 top hub genes were screened. According to the analysis results of the Kaplan-Meier survival curve, the expression levels of only NUF2, FAM83D and CENPH were associated with the recurrence-free survival in TNBC samples (P < 0.05). RT-qPCR confirmed that the expression levels of NUF2 and FAM83D in TNBC tissues were indeed up-regulated significantly. Conclusions The comprehensive analysis showed that NUF2 and FAM83D could be used as potential biomarkers for diagnosis and prognosis of TNBC.

scholarly journals A single N6-methyladenosine site in lncRNA HOTAIR regulates its function in breast cancer cells

2020 ◽  
Author(s):  
Allison M Porman ◽  
Justin T Roberts ◽  
Madeline Chrupcala ◽  
Michelle Kennedy ◽  
Michelle M. Williams ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Cancer Biology ◽  
Breast Cancer Cells ◽  
Cellular Proliferation ◽  
Triple Negative ◽  
Noncoding Rnas ◽  
Gene Repression ◽  
Rna Modifications ◽  
Lncrna Hotair

AbstractN6-methyladenosine (m6A) is one of the most abundant RNA modifications with important roles in normal and cancer biology, but knowledge of its function on long noncoding RNAs (lncRNAs) remains limited. In this study, we investigate whether m6A plays a role in regulating the function of the HOTAIR lncRNA which contributes to multiple pro-tumor phenotypes in triple-negative breast cancer (TNBC) cells. We identify 14 individual m6A sites within HOTAIR, with a single site (A783) being consistently methylated. Mutation of A783 impairs cellular proliferation and colony formation in TNBC cells. We find that HOTAIR interacts with the nuclear m6A reader YTHDC1 at methylated A783 and additional sites. Interestingly, we determine that modifications at different sites in HOTAIR have differential effects on HOTAIR regulation. Specifically, m6A at A783 regulates HOTAIR localization to chromatin, whereas other m6A sites mediate high HOTAIR levels. We further find that YTHDC1-HOTAIR interactions are required for gene repression, independent of expression level and chromatin recruitment. Altogether, our work suggests a mechanism whereby m6A regulates the function of HOTAIR via mediating the interaction of YTHDC1 with specific m6A sites, promoting chromatin-mediated repression and breast cancer cell aggressiveness.

miR-10b, miR-26a, miR-146a And miR-153 Expression in Triple Negative Vs Non Triple Negative Breast Cancer: Potential Biomarkers

2017 ◽  
Vol 23 (4) ◽  
pp. 815-827 ◽  
Author(s):  
Insaf Fkih M’hamed ◽  
Maud Privat ◽  
Mounir Trimeche ◽  
Frédérique Penault-Llorca ◽  
Yves-Jean Bignon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Potential Biomarkers
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