Progress of long noncoding RNAs in anti-tumor resistance

Zhang, Hui; Wang, Yuanyuan; Liu, Xiaomin; Li, Yanli

doi:10.1016/j.prp.2020.153215

Cited by 13 publications

(11 citation statements)

References 72 publications

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“…Recent studies have shown that epigenetic modifications and DNA damage from endogenous and exogenous sources could affect genomic instability 24 – 27 . An increasing number of reports have revealed that lncRNAs are implicated in the control of various cancer cellular disease progression 28 – 30 . Though the comprehension of functional mechanisms of lncRNAs has shown that lncRNAs also are crucial for genomic stability, the systematic exploration of genomic instability-associated lncRNAs on their clinical significance in cancers is still in its infancy.…”

Section: Discussionmentioning

confidence: 99%

Bioinformatic identification of genomic instability-associated lncRNAs signatures for improving the clinical outcome of cervical cancer by a prognostic model

Zhang

Ding

et al. 2021

Sci Rep

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The research is executed to analyze the connection between genomic instability-associated long non-coding RNAs (lncRNAs) and the prognosis of cervical cancer patients. We set a prognostic model up and explored different risk groups' features. The clinical datasets and gene expression profiles of 307 patients have been downloaded from The Cancer Genome Atlas database. We established a prognostic model that combined somatic mutation profiles and lncRNA expression profiles in a tumor genome and identified 35 genomic instability-associated lncRNAs in cervical cancer as a case study. We then stratified patients into low-risk and high-risk groups and were further checked in multiple independent patient cohorts. Patients were separated into two sets: the testing set and the training set. The prognostic model was built using three genomic instability-associated lncRNAs (AC107464.2, MIR100HG, and AP001527.2). Patients in the training set were divided into the high-risk group with shorter overall survival and the low-risk group with longer overall survival (p < 0.001); in the meantime, similar comparable results were found in the testing set (p = 0.046), whole set (p < 0.001). There are also significant differences in patients with histological grades, FIGO stages, and different ages (p < 0.05). The prognostic model focused on genomic instability-associated lncRNAs could predict the prognosis of cervical cancer patients, paving the way for further research into the function and resource of lncRNAs, as well as a key approach to customizing individual care decision-making.

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Section: Discussionmentioning

confidence: 99%

Bioinformatic identification of genomic instability-associated lncRNAs signatures for improving the clinical outcome of cervical cancer by a prognostic model

Zhang

Ding

et al. 2021

Sci Rep

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“…Cancer immunotherapy and chemotherapy have been used extensively in tumor treatment, including both systemic and local treatment ( Zhang et al., 2020 ). The resistance of cancer cells to anticancer drugs is an important cause of treatment failure ( Zhang et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Heterotypic cell-in-cell structures between cancer and NK cells are associated with enhanced anticancer drug resistance

et al. 2022

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“…Long noncoding RNAs (lncRNAs) are mRNA-like transcripts, with a length of more than 200 nucleotides, lacking an obvious open reading framework [9]. Although lncRNAs cannot directly encode proteins, they are involved in the regulation of gene expression via the regulation of chromatin modi cation, alternative splicing, and nuclear substance transport [10] [11]. Their abnormal expression is closely related to oncogenesis and drug resistance ,and they exert their effects by regulating tumour oncogenes or suppressor genes at multiple levels [12] [13].…”

Section: Introductionmentioning

confidence: 99%

The Prognostic Value of Long Non-Coding RNA SNHG7 in Human Cancer: A Meta-Analysis

Yuan

Huang

et al. 2022

CPB

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Background: The long non-coding RNA SNHG7 is upregulated in many types of cancer and plays a role as an oncogene. However, its overall predictive ability in human cancer prognosis has not been assessed using existing databases. Therefore, further study of its prognostic value and clinical significance in human malignancies is warranted. Methods: We systematically collected relevant literature from multiple electronic document databases about the relationship between SNHG7 expression level and prognosis in patients with solid cancers. We further screened them for eligibility. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were used to assess the prognostic value. Odds ratios (ORs) and their 95% CIs were collected to evaluate the relationship between the expression of SNHG7 and clinicopathological features, including lymph node metastasis (LNM), tumour size, tumour node metastasis (TNM) stage and histological grade. Results: Fourteen original studies involving 971 patients were enrolled strictly following the inclusion and exclusion criteria. The meta-analysis showed that SNHG7 expression was significantly correlated with poor overall survival (HR = 1.93, 95% CI: 1.64–2.26, p<0.001) in human cancer patients. In addition, the pooled OR indicated that overexpression of SNHG7 was associated with earlier LNM (OR = 1.83, 95% CI: 1.44–2.32; P <0.001), and advanced TNM stage (OR = 1.82, 95% CI: 1.44–2.30; P <0.001).Meanwhile, there was no significant heterogeneity between the selected studies, proving the reliability of the meta-analysis results. Conclusions: High SNHG7 expression may predict poor oncological outcomes in patients with multiple human cancers, which could be a novel prognostic biomarker of unfulfilled clinicopathological features. However, further high-quality studies are needed to verify and strengthen the clinical value of SNHG7 in different types of cancer.

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Progress of long noncoding RNAs in anti-tumor resistance

Cited by 13 publications

References 72 publications

Bioinformatic identification of genomic instability-associated lncRNAs signatures for improving the clinical outcome of cervical cancer by a prognostic model

Bioinformatic identification of genomic instability-associated lncRNAs signatures for improving the clinical outcome of cervical cancer by a prognostic model

Heterotypic cell-in-cell structures between cancer and NK cells are associated with enhanced anticancer drug resistance

The Prognostic Value of Long Non-Coding RNA SNHG7 in Human Cancer: A Meta-Analysis

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