Long noncoding RNA SNHG12 is a potential diagnostic and prognostic biomarker in various tumors

Wang, XinZhuang; Jiang, Qiuyi; Zhang, Cheng; Yang, Quan; Wang, Lixiang; Zhang, Jian; Wang, Ligang; Chen, Xin; Hou, Xu; Han, Dayong; Wu, Jianing; Zhao, Shiqi

doi:10.1186/s41016-021-00250-4

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…Accumulating evidence suggested that lncRNAs not only participated in the occurrence and development of many diseases [ 28 ] but also participated in the regulation of gene expression and immune response [ 30 ‒ 31 ]. In addition, research on the use of lncRNA as a prognostic marker is increasing in various tumors including nasopharyngeal carcinoma, gastric cancer, hepatocellular cancer, colorectal cancer, breast cancer, and cervical cancer [ 32 ]. Therefore, it is necessary to explore the expression level of lncRNAs in diseases and their clinical significance.…”

Section: Discussionmentioning

confidence: 99%

Expression and Clinical Significance of lncRNA NEAT1 in Patients with Spinal Tuberculosis

et al. 2022

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Background. Spinal tuberculosis (STB) often leads to irreversible neurological injury, resulting in serious social and economic problems. With the emergence of drug resistance, the management becomes even more challenging, given the treatment courses are generally longer for skeletal than pulmonary tuberculosis (PTB). The development and validation of nonsputum biomarkers for diagnosis and tailoring of treatment duration to enable personalized and evidence-based management of such diseases to improve treatment outcomes is being called for globally. Studies have demonstrated that lncRNA NEAT1 was highly expressed in pulmonary tuberculosis (TB) and was related to its progression and recovery. However, the expression and clinical significance of lncRNA NEAT1 in STB remains unclear. Methods. The relative expression of lncRNA NEAT1 was quantified by relative real-time reverse transcription PCR (RT-PCR). The prognostic value was assessed by receiver-operating characteristic (ROC) curve analysis. Pearson and Spearman correlation coefficient and chi-square test were used to analyze the correlation between the lncRNA NEAT1 expression and the clinical characteristics. Univariate and multivariate logistic regression analyses were used to analyze independent predictors of STB recurrence. Results. Compared with normal healthy individuals, the expression level of lncRNA NEAT1 in peripheral blood and granulomatous tissues of STB patients was significantly increased. The results of the in vitro Mycobacterium tuberculosis- (Mtb-) infected cell model showed that the expression level of lncRNA NEAT1 was significantly upregulated in macrophages infected with Mtb, and the difference was statistically significant compared with Mtb-uninfected group. The expression level of lncRNA NEAT1 in granulomatous tissue of STB was significantly higher than that in peripheral blood. The expression of lncRNA NEAT1 was related to segments of the lesions, paraspinal abscesses, anti-TB treatment, drug resistance, interleukin-6 (IL-6), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR). Multivariate analysis results showed that relatively high expression of lncRNA NEAT1_1, the shorter transcript of the NEAT1 gene, was an independent prognostic factor of STB outcome. Conclusion. LncRNA NEAT1 was highly expressed in peripheral blood mononuclear cells (PBMCs) and granulomatous tissue from patients with STB, as well as in Mtb-infected THP-1 cell lines. LncRNA NEAT1 expression was significantly associated with clinical characteristics (paraspinal abscesses, segments of the lesions and anti-TB treatment, IL-6, CRP, and ESR) of patients in STB. Increased expression of lncRNA NEAT1_1 predicted good prognosis of STB and might become a prognostic biomarker for STB.

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Section: Discussionmentioning

confidence: 99%

Expression and Clinical Significance of lncRNA NEAT1 in Patients with Spinal Tuberculosis

et al. 2022

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“…In turn, SOX5 upregulated the expression of oncogene Gelsolin and SNHG12, thus forming a positive feedback loop of SNHG12/miR-195/SOX5 [ 89 ]. Recently, SNHG12 has been recognized as a potential biomarker since its expression correlated with clinical characteristics and prognosis in various cancers, but also as a potential therapeutic target due to its involvement in the unfolded protein response-adaptive pro-survival mechanism exploited by many cancer cells [ 100 , 101 ].…”

Section: Lncrnas Acting Through Sox Genes In Gliob...mentioning

confidence: 99%

Crosstalk between SOX Genes and Long Non-Coding RNAs in Glioblastoma

Stevanović

Kovacevic-Grujicic

Petrović

et al. 2023

IJMS

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Glioblastoma (GBM) continues to be the most devastating primary brain malignancy. Despite significant advancements in understanding basic GBM biology and enormous efforts in developing new therapeutic approaches, the prognosis for most GBM patients remains poor with a median survival time of 15 months. Recently, the interplay between the SOX (SRY-related HMG-box) genes and lncRNAs (long non-coding RNAs) has become the focus of GBM research. Both classes of molecules have an aberrant expression in GBM and play essential roles in tumor initiation, progression, therapy resistance, and recurrence. In GBM, SOX and lncRNAs crosstalk through numerous functional axes, some of which are part of the complex transcriptional and epigenetic regulatory mechanisms. This review provides a systematic summary of current literature data on the complex interplay between SOX genes and lncRNAs and represents an effort to underscore the effects of SOX/lncRNA crosstalk on the malignant properties of GBM cells. Furthermore, we highlight the significance of this crosstalk in searching for new biomarkers and therapeutic approaches in GBM treatment.

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“…Activation of SNHG7 is associated with proliferation, tumor growth, migration, and invasion of BC cells by sponging miR-451a through inhibiting AKT/mTOR [40]. There is increasing evidence that altered SNHG7 expression may play a role in various malignant tumors [41]. SNHG7 upregulation in the cytoplasm also significantly increased Matrix Metallopeptidase 13 (MMP13) expression, whereas SNHG7 knockdown significantly inhibited MMP13 expression [42].…”

Section: Snhg12mentioning

confidence: 99%

Unraveling the Complex Interplay between lncRNAs and Myc in Breast Cancer

Mirmazhari,

Abdi,

Mosadeghrad

et al. 2023

Preprint

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The Myc gene, widely studied in numerous cancer types, serves as a pivotal regulator of crucial cellular processes implicated in tumorigenesis, such as cell growth, proliferation, invasion, metastasis, and therapy resistance. LncRNAs have been identified as relevant partners of Myc. LncRNAs modulate chromatin structure and function, transcription, splicing, stability, and translation of mRNAs, thereby emerging as pivotal regulators in cell differentiation, metabolism, signaling. An intricate crosstalk exists between Myc and lncRNAs in a wide range of cancers, wherein they can physically and functionally interact through direct and indirect mechanisms. Some lncRNAs can regulate Myc activity at post-transcriptional level, affecting its stability, translation, or interactions with other proteins, thus acting as oncogenes, while others act as tumor suppressors. On the other hand, Myc can target numerous lncRNA genes and modulate their expression, affecting the expression of downstream targets involved in tumorigenesis. Given the significant role of the Myc-lncRNA network in various cancer types, exploring therapeutic strategies targeting these crucial cellular regulators is of utmost importance. This review article focuses on breast cancer, analyzing those lncRNAs influencing Myc as well as the Myc-regulated lncRNAs.

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Long noncoding RNA SNHG12 is a potential diagnostic and prognostic biomarker in various tumors

Cited by 5 publications

References 39 publications

Expression and Clinical Significance of lncRNA NEAT1 in Patients with Spinal Tuberculosis

Expression and Clinical Significance of lncRNA NEAT1 in Patients with Spinal Tuberculosis

Crosstalk between SOX Genes and Long Non-Coding RNAs in Glioblastoma

Unraveling the Complex Interplay between lncRNAs and Myc in Breast Cancer

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