Assessment of miR-98-5p, miR-152-3p, miR-326 and miR-4289 Expression as Biomarker for Prostate Cancer Diagnosis

Moya, Leire; Meijer, Jonelle; Schubert, Sarah; Matin, Farhana; Batra, Jyotsna

doi:10.3390/ijms20051154

Cited by 64 publications

(51 citation statements)

References 83 publications

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“…Melatonin targets miR-152-3p and represses angiogenic factors in triple-negative breast cancer [21]. Intriguingly, MiR-152-3p was also a tumor inhibitor in glioma [22], prostate cancer [23] and triple-negative breast cancer [21].…”

Section: Discussionmentioning

confidence: 99%

LINC00221 suppresses the malignancy of children acute lymphoblastic leukemia

Huang

Ren³

et al. 2020

Bioscience Reports

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Correspondence: Man Huang (huangman770@163.com)As the most common malignant disease in childhood, children acute lymphoblastic leukemia (ALL) is a heterogeneous disease caused by the accumulated genetic alterations. Long non-coding RNAs (lncRNAs) are reported as critical regulators in diseases. GEPIA database indicated that long intergenic non-protein coding RNA 221 (LINC00221) was conspicuously down-regulated in acute myeloid leukemia. However, its expression pattern in ALL has not been revealed. This work was carried out to study the role of LINC00221 in ALL cells. Quantitative real-time PCR (qRT-PCR) quantified LINC00221 expression in ALL cells. The function of LINC00221 in ALL was determined by ki-67 immunofluorescence staining, EdU, TUNEL, JC-1, and caspase-3/8/9 activity assays. RNA pull down and Ago2-RNA immunoprecipitation (RIP) assays investigated the interaction between miR-152-3p and LINC00221 or ATPase sarcoplasmic/endoplasmic reticulum Ca2 + transporting 2 (ATP2A2). Our study revealed the low expression of LINC00221 in ALL cells. Subsequently, LINC00221 was verified to bind with miR-152-3p. Moreover, functional assays pointed out that LINC00221 overexpression posed anti-proliferation and pro-apoptosis effects in ALL cells, and these effects could be separately reversed by miR-152-3p up-regulation. Afterward, LINC00221 was revealed to regulate ATP2A2 expression via sponging miR-152-3p. Additionally, ATP2A2 was verified to involve in regulating LINC00221-mediated ALL cell proliferation and apoptosis. In conclusion, LINC00221 suppressed ALL cell proliferation and boosted ALL cell apoptosis via sponging miR-152-3p to up-regulate ATP2A2. regulate COL1A1 expression, thus enhancing proliferation and migration ability of breast cancer cells [7]. COL1A1-014 functions as a ceRNA in gastric cancer development via up-regulating CXCL12 and CXCR4 through interacting with miR-1273h-5p [8]. Up-regulation of lncRNA HOTAIR promotes PRAF2 expression via acting as a sponge of miR-326 in cutaneous squamous cell carcinoma [9]. LncRNA NEAT1 contributes to lung cancer cell proliferation and invasion via NEAT1/miR-1224/KLF3 ceRNA pattern [10].Long intergenic non-coding RNA 00221 (LINC00221) was reported to enhance the cisplatin resistance of non-small cell lung cancer [11]. Also, LINC00221 is a prognostic biomarker for patients with hepatocellular carcinoma [12]. Besides, GEPIA database (http://gepia.cancer-pku.cn/) indicated that LINC00221 was conspicuously down-regulated in acute myeloid leukemia. However, the expression pattern and functional role of LINC00221 in ALL are still uncovered. Thus, the study was designed to explore the function and underlying mechanism of LINC00221 in ALL cells. Materials and methods Cell cultureHuman ALL cell lines (Jurkat, CCRF-CEM, CEM/C1, 1301) and normal HEK 293T cell line were available from the ATCC (Manassas, VA) and cultivated in 5% CO 2 at 37 • C. Cell samples were all maintained in RPMI-1640 medium, with 10% FBS (HyClone, Logan, UT) and 1% penicillin-streptomycin as supplements. RNA...

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Section: Discussionmentioning

confidence: 99%

LINC00221 suppresses the malignancy of children acute lymphoblastic leukemia

Huang

Ren³

et al. 2020

Bioscience Reports

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“…According to previous studies, hsa-miR-520 was demonstrated to play role in regulating proliferation and migration of lung cancer and modulating progression of renal carcinoma while there was no evidence about this miRNA and GC [28,29]]. And miR-98 could be served as biomarker for prostate cancer diagnosis and it may up-regulated in GC, which was involved in the development and progression of GC [30,31]. Let-7 miRNA family played a central role in the regulatory relationships between miRNAs and mRNAs in GC, and hsa-let-7c was associated with the clinicopathological parameters of GC [32].…”

Section: Discussionmentioning

confidence: 99%

Identification of PGC-related ncRNAs and their relationship with the clinicopathologic features of gastric cancer

Ding

et al. 2020

Preprint

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Background Pepsinogen C (PGC) is considered to be the final product of mature differentiated gastric mucosa and the expression level of PGC in gastric mucosa decreased obviously in the courses of gastric cancer (GC) development. The mechanism of the down-regulation of PGC is still unclear and needs to be excavated. This study aims to identify the PGC-related ncRNAs, which may have potential to act as PGC post-transcriptional regulator, and further explore the relationship between these ncRNAs and clinicopathological parameters of GC. Methods Bioinformatics software was used to predict the target binding miRNAs for PGC and target binding circRNAs for candidate miRNAs. Dual-luciferase reporter assay was performed to validate the targeted complete complementary relationship. QRT-PCR was applied to detect the expression levels of PGC and PGC-related ncRNAs in GC tissues. Kaplan-Meier and Cox regression were used for the analysis of the relationship between these ncRNAs and prognostic significance of GC Results Hsa-let-7c was predicted to binding to PGC gene, hsa_circ_0001483 and hsa_circ_0001324 were targeted binding to hsa-let-7c, which was verified by dual-luciferase reporter assay. The hsa_circ_0001483 / hsa_circ_0001324 -hsa-let-7c-PGC axis was confirmed in GC tissues by qRT-PCR. The expression of hsa_circ_0001483 was correlated with peritumoral inflammatory cell infiltration level and lymphatic metastasis. Conclusions Hsa_circ_0001483, hsa_circ_0001324 and let-7c were newly identified and validated as PGC-related ncRNAs and were associated with the clinicopathological features of GC in some ways. The hsa_circ_0001483 / hsa_circ_0001324-hsa-let-7c-PGC axis was existed in GC, which may explain the downregulation of PGC in GC tissues.

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“…With the development of gene signatures, the prognosis of some types of cancer has been predicted by statistical models. MiR-98-5p, miR-152-3p, miR-326 and miR-4289 Expression could serve as Biomarker for Prostate Cancer Diagnosis [21]. We also performed GSEA analysis using the mRNA expression data of the 503 LUSC patients and found that 4 exhibit signi cant differences, with a P value <0.05, and the minimum P value could be used for further analysis.…”

Section: Discussionmentioning

confidence: 99%

Identification of Cell cycle Gene Signatures Predicting Survival in Patients with Lung Squamous Cell Carcinoma

Zhang¹,

Zhang²,

Yu³

2019

Preprint

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Background:Lung cancer (LC) is one of the most important and common malignant tumors, and its incidence and mortality are increasing annually. Lung squamous cell carcinoma (LUSC) is the common pathological type of lung cancer. A small part of biomarkers have been confirmed to be related to the prognosis and survival by data excavation. However, the moderate forecast effect of a single gene biomarker is not accurate. Thus, we aimed to identify new gene signatures to better predict Lung squamous cell carcinoma ( LU SC). Methods : Using the mRNA-mining approach, we performed mRNA expression profiling in large lung squamous cell carcinoma cohorts (n= from The Cancer Genome Atlas (TCGA) database. Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis(GSVA) were accomplished, and connections between genes and cell cycle were found in the Cox proportional regression model. Results : We have confirmed a set of four genes (CDKN1A, CHEK2, E2F4 and RAD21) that were importantly associated with overall survival (OS) in the test series. Based on the research of the four-gene signature, the patients in the test series could be divided into high-risk and low-risk teams. Additionally, multivariate Cox regression analysis revealed that the prognostic power of the four-gene signature is independent of the clinical factors. Conclusion : Our study demonstrated the connections between the four-gene signature and cell cycle. Novel insights into the research mechanisms of cell cycle was also revealed regarding the biomarkers of a poor prognosis for lung squamous cell carcinoma patients.

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Assessment of miR-98-5p, miR-152-3p, miR-326 and miR-4289 Expression as Biomarker for Prostate Cancer Diagnosis

Cited by 64 publications

References 83 publications

LINC00221 suppresses the malignancy of children acute lymphoblastic leukemia

LINC00221 suppresses the malignancy of children acute lymphoblastic leukemia

Identification of PGC-related ncRNAs and their relationship with the clinicopathologic features of gastric cancer

Identification of Cell cycle Gene Signatures Predicting Survival in Patients with Lung Squamous Cell Carcinoma

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