Overexpression of MAPT-AS1 is associated with better patient survival in breast cancer

Wang, Dongfeng; Li, Jian; Cai, F.; Xu, Zhi; Li, Li; Zhu, Hongguang; Liu, Wei; Xu, Qingyu; Cao, Jian; Sun, Jiantong; Tang, Jinhai

doi:10.1139/bcb-2018-0039

Cited by 28 publications

(31 citation statements)

References 33 publications

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“…It might be involved in the EGFR/mammalian target of rapamycin pathway, which promoted triple negative breast cancer progression by affecting the stability of PTEN protein [31]. Previous study indicated the high expression of MAPT-AS1 was correlated with better survival in breast cancer [32]. However, we have not found any report about MIR4458HG related to breast cancer.…”

Section: Functional Prediction Of Three Lncrnasmentioning

confidence: 68%

Identification of a prognostic long non-coding RNA signature in breast cancer

Lan

Zhao

et al. 2020

Preprint

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Background: Breast cancer is the most common malignant disease among women. At present, more and more attention has been paid to long non-coding RNAs (lncRNAs) in the field of breast cancer research. We aimed to investigate the expression profiles of lncRNAs and construct a prognostic lncRNA for predicting the overall survival (OS) of breast cancer. Methods: The expression profiles of lncRNAs and clinical data with breast cancer were obtained from The Cancer Genome Atlas (TCGA). Differentially expressed lncRNAs were screened out by R package (limma). The survival probability was estimated by the Kaplan‑Meier Test. The Cox Regression Model was performed for univariate and multivariate analysis. The risk score (RS) was established on the basis of the lncRNAs’ expression level (exp) multiplied regression coefficient (β) from the multivariate cox regression analysis with the following formula: RS=exp a1 * β a1 + exp a2 * β a2 +……+ exp an * β an . Functional enrichment analysis was performed by Metascape. Results: A total of 3404 differentially expressed lncRNAs were identified. Among them, CYTOR , MIR4458HG and MAPT-AS1 were significantly associated with the survival of breast cancer. Finally, The RS could predict OS of breast cancer (RS=exp CYTOR * β CYTOR + exp MIR4458HG * β MIR4458HG + exp MAPT-AS1 * β MAPT-AS1 ). Moreover, it was confirmed that the three-lncRNA signature could be an independent prognostic biomarker for breast cancer (HR=3.040, P=0.000). Conclusions: This study established a three-lncRNA signature, which might be a novel prognostic biomarker for breast cancer.

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Section: Functional Prediction Of Three Lncrnasmentioning

confidence: 68%

Identification of a prognostic long non-coding RNA signature in breast cancer

Lan

Zhao

et al. 2020

Preprint

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“…Additionally, MAPT-AS1 levels have been shown to be associated with MAPT expression, which is associated with breast cancer survival. The results of that study indicated that MAPT-AS1 may function as a potential breast cancer survival prediction biomarker (41). Pan et al (42) found that patients with ER-negative breast cancer who had larger tumors (≥2 cm), were of a younger age (<60), were at stages (III-IV) and had metastatic lymph nodes, exhibited higher levels of MAPT-AS1 expression.…”

Section: Discussionmentioning

confidence: 94%

“…MAPT-AS1 is involved in the occurrence and development of tumors and Parkinson's disease. MAPT-AS1 overexpression has not been found in breast cancer; however, in triple-negative type (TNBc), a high MAPT-AS1 expression has been found to be associated with a longer patient survival (41). Additionally, MAPT-AS1 levels have been shown to be associated with MAPT expression, which is associated with breast cancer survival.…”

Section: Discussionmentioning

confidence: 99%

Identification of long non‑coding RNAs expressed during the�osteogenic differentiation of human bone marrow‑derived mesenchymal stem cells obtained from patients with ONFH

et al. 2020

Int J Mol Med

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Long non-coding RNAs (lncRNAs) are crucial for the occurrence and development of numerous diseases. Although lncRNAs are involved in the biological activities of stem cells and play crucial roles in stem cell differentiation, the expression of specific lncRNAs during human bone marrow-derived mesenchymal stem cell (hBMSc) osteogenic differentiation in osteonecrosis of the femoral head (ONFH) and their regulatory roles have not yet been fully elucidated. To the best of our knowledge, the present study is the first to characterize lncRNA expression profiles during hBMSC osteogenic differentiation in ONFH using microarray analysis and RT-qPCR to confirm the microarray data. A total of 24 downregulated and 24 upregulated lncRNAs were identified and the results of RT-qPCR were found to be consistent with those of microarray analysis. Bioinformatics analyses, using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, were conducted to explore the possible mechanisms and identify the signaling pathways that the lncRNAs are involved in. GO analysis revealed significant changes in the intracellular organelle, Ras protein signal transduction and transferase activity. KEGG pathway analysis revealed that the lncRNAs were closely associated with fatty acid metabolism, apoptosis and the TGF-β signaling pathway. The overexpression of MAPT antisense RNA 1 (MAPT-AS1) was found to promote osteogenesis and inhibit the adipogenesis of hBMScs at the cellular and mRNA levels. On the whole, the findings of the present study identified the lncRNAs and their roles in hBMScs undergoing osteogenic differentiation in ONFH and provide a new perspective for the pathogenesis of ONFH.

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“…1 , a total of 31 articles published between 2015 and 2020 with 3146 TNBC patients were included in this meta-analysis. The 27 relevant lncRNAs were as follows: LINC00096, [ 11 ] SNHG12, [ 12 ] TCONS_l2_00002973, [ 13 ] MALAT1, [ 14 , 15 ] KDM5B, [ 16 ] ANRIL, [ 17 ] AFAP1-AS1, [ 18 ] ARNILA, [ 19 ] AWPPH, [ 20 ] DANCR, [ 21 , 22 ] GAS5, [ 23 , 24 ] ZEB2-AS1, [ 23 , 24 ] ADPGK-AS1, [ 26 ] POU3F3, [ 27 ] HIF1A-AS2, [ 28 ] MAPT-AS1, [ 29 ] NEF, [ 30 ] LUCAT1, [ 31 ] LINC00511, [ 32 ] HOTAIR, [ 33 , 34 ] MIR503HG, [ 35 ] LncKLHDC7B, [ 36 ] HULC, [ 37 ] linc-ZNF469–3, [ 38 ] NAMPT-AS, [ 39 ] LINC00173, [ 40 ] and HOST2. [ 41 ] Among the included studies, 29 studies were conducted in China, while the other 2 were performed in Mexico and Italy, respectively.…”

Section: Resultsmentioning

confidence: 99%

Prognostic value of long non-coding RNAs in triple negative breast cancer

Zhang

Xie

et al. 2020

Medicine

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Background Triple-negative breast cancer (TNBC) is the most aggressive and lethal subtype of breast cancer. Accumulating evidence showed long non-coding RNAs (lncRNAs) are abnormally expressed in TNBC and could be valuable prognostic tools for TNBC patients. This study aims to research the prognostic value of lncRNAs in TNBC, using the meta-analysis method. Methods We performed a detailed literature search on Pubmed, Scopus, and Web of Science for studies on the prognostic value of lncRNAs in TNBC. The meta-analysis method was used to determine the relationship between lncRNAs expression and survival of TNBC patients. Results A total of 2803 TNBC patients and 24 lncRNAs from 27 different articles were included in the present study. Subgroup analysis demonstrated that overexpression of lncRNAs in a group that is upregulated in TBNC showed a significant association with poor overall survival (HR = 1.86, 95%CI = 1.45–2.27, I 2 = 41.9%) and disease-free survival (HR = 1.85, 95%CI = 1.37–2.33, I 2 = 0%). Conversely, overexpression of lncRNAs in a downregulation group was markedly related to good overall survival (HR = 0.60, 95%CI = 0.43–0.77, I 2 = 28.6%). Moreover, expression of lncRNA SNHG12, MALAT1, HOTAIR, HIF1A-AS2, HULC, LINC00096, ZEB2-AS1, LUCAT1, and LINC000173 showed a marked correlation with positive lymph node metastasis (LNM), while lncRNA MIR503HG, GAS5, TCONS_l2_00002973 showed the opposite effect. High expression level of MALAT1, HIF1A-AS2, HULC, LINC00096, ADPGK-AS1, ZEB2-AS1, LUCAT1 were positively correlated with distant metastasis (DM), while lncRNA MIR503HG showed the opposite effect. In addition, the mechanisms of lncRNAs in TNBC were summarized. Conclusions This meta-analysis demonstrated that abnormally expressed lncRNA were significantly associated with the survival of TNBC patients and may serve as biomarkers and therapeutic targets for TNBC prognosis.

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Overexpression of MAPT-AS1 is associated with better patient survival in breast cancer

Cited by 28 publications

References 33 publications

Identification of a prognostic long non-coding RNA signature in breast cancer

Identification of a prognostic long non-coding RNA signature in breast cancer

Identification of long non‑coding RNAs expressed during the�osteogenic differentiation of human bone marrow‑derived mesenchymal stem cells obtained from patients with ONFH

Prognostic value of long non-coding RNAs in triple negative breast cancer

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