Long noncoding RNA RUSC1-AS1 promotes tumorigenesis in cervical cancer by acting as a competing endogenous RNA of microRNA-744 and consequently increasing Bcl-2 expression

MicroRNAs, long non-coding RNAs, and circular RNAs and gynecological cancers: focus on metastasis

Gynecologic cancer is a significant cause of death in women worldwide, with cervical cancer, ovarian cancer, and endometrial cancer being among the most well-known types. The initiation and progression of gynecologic cancers involve a variety of biological functions, including angiogenesis and metastasis-given that death mostly occurs from metastatic tumors that have invaded the surrounding tissues. Therefore, understanding the molecular pathways underlying gynecologic cancer metastasis is critical for enhancing patient survival and outcomes. Recent research has revealed the contribution of numerous non-coding RNAs (ncRNAs) to metastasis and invasion of gynecologic cancer by affecting specific cellular pathways. This review focuses on three types of gynecologic cancer (ovarian, endometrial, and cervical) and three kinds of ncRNAs (long non-coding RNAs, microRNAs, and circular RNAs). We summarize the detailed role of non-coding RNAs in the different pathways and molecular interactions involved in the invasion and metastasis of these cancers.

A new marker constructed from immune-related lncRNA pairs can be used to predict clinical treatment effects and prognosis: in-depth exploration of underlying mechanisms in HNSCC

BACKGROUND

Long non-coding RNA (lncRNA) plays a vital role in tumor proliferation, migration, and treatment. Since it is challenging to standardize the gene expression levels detected by different platforms, the signatures composed of many immune-related single lncRNAs are still inaccurate. Utilizing a gene pair formed of two immune-related lncRNAs and strategically assigning values can effectively meet the demand for a higher-accuracy dual biomarker combination.

METHODS

Co-expression and differential expression analyses were performed on immune genes and lncRNAs data from The Cancer Genome Atlas and the ImmPort database to obtain differentially expressed immune-related lncRNAs for pairwise pairing. The prognostic-related differentially expressed immune-related lncRNAs (PR-DE-irlncRNAs) pairs were then identified by univariate Cox regression and used for lasso regression to construct a prognostic model. Various methods were used to validate the predictive prognostic performance of the model. Additionally, we explored the potential guiding value of the model in immunotherapy and chemotherapy and constructed a nomogram suitable for efficient prognosis prediction. Mechanistic exploration of anti-tumor immunity and mutational perspectives are also included. We also analyzed the correlation between the model and immune checkpoint inhibitors (ICIs)-related, N6-methyadenosine (m6A)-related, and multidrug resistance genes.

RESULTS

We used a total of 20 pairs of PR-DE-irlncRNAs to create a prognosis model. Quantitative real-time polymerase chain reaction experiments further verified the abnormal expression of 11 lncRNAs in HNSCC cells. Various methods have confirmed the excellent performance of the model in predicting patient prognosis. We reasoned that lncRNAs/TP53 mutation might play a positive/negative anti-tumor role through the immune system by multi-perspective analyses. Finally, it was found that the prognostic model was closely related to immunotherapy and chemotherapy as well as the expression of ICIs/m6A/multidrug resistance-related genes.

CONCLUSION

The prognostic model performs excellently in predicting the prognosis of patients and provides the potential value of practical guidance for treatment.

RUSC1-AS1 promotes the malignant progression of breast cancer depending on the regulation of the miR-326/XRCC5 pathway

BACKGROUND

Many long noncoding RNAs (lncRNAs) are the key regulators for cancer progression, including breast cancer (BC). RUSC1 antisense 1 (RUSC1-AS1) has been found to be highly expressed in BC, but its role and potential molecular mechanism in BC remain to be further elucidated.

METHODS

Quantitative reverse transcription-polymerase chain reaction (RT-PCR) was utilized to measure RUSC1-AS1, microRNA (miR)-326 and X-ray repair cross-complementing group 5 (XRCC5) expression. Cell proliferation, metastasis, cell cycle, apoptosis and angiogenesis were determined by cell counting kit-8, colony formation, transwell, flow cytometry and tube formation assays. Protein expression was detected by western blot analysis. The targeted relationship between miR-326 and RUSC1-AS1 or XRCC5 was validated using dual-luciferase reporter assay and RIP assay. Xenograft models were constructed to uncover the effect of RUSC1-AS1 on BC tumorigenesis.

RESULTS

RUSC1-AS1 was upregulated in BC, and its downregulation suppressed BC proliferation, metastasis, cell cycle, angiogenesis, and tumor growth. MiR-326 was confirmed to be sponged by RUSC1-AS1, and its inhibitor reversed the regulation of RUSC1-AS1 silencing on BC progression. XRCC5 could be targeted by miR-326. Overexpression of XRCC5 reversed the inhibitory impacts of miR-326 on BC progression.

CONCLUSION

RUSC1-AS1 could serve as a sponge of miR-326 to promote BC progression by targeting XRCC5, suggesting that RUSC1-AS1 might be a target for BC treatment.

The Long Non-Coding RNA AC006329.1 Facilitates Hepatocellular Carcinoma Progression and Metastasis by Regulating miR-127-5p/SHC3/ERK Axis

Purpose

Hepatocellular carcinoma(HCC) is the most common type of liver cancer and the sixth largest common cancer worldwide. Although surgical resection, hepatic arterial chemoembolization, targeted drugs and immunotherapy are currently available, the mortality of advanced patients remains high. Therefore, new therapeutic targets are urgently needed. In recent years, many studies have found that The long non-coding RNA(lncRNA) has multiple functions in human tumors, including participating in epigenetic, transcriptional, post-transcriptional and translational regulation, and is closely related to the progression of HCC. The purpose of this study was to investigate the role of AC006329.1 in HCC progression and provide theoretical guidance for finding new targets.

Patients and Methods

AC006329.1 was screened out by transcriptome sequencing and quantitative real-time polymerase chain reaction (qRT-PCR). Then a series of functional tests in vivo and in vitro were conducted to investigate the effects of AC006329.1 on HCC progression and metastasis. Epithelial-mesenchymal transformation (EMT) of HCC was detected by Western blot and immunofluorescence staining. The targeted miRNA and downstream gene of AC006329.1 were predicted by databases and the pathway regulation axis eventually validated by dual luciferase reporter assays, qRT-PCR and WB.

Results

AC006329.1 was found high expressed in HCC tissues and cell lines by qRT-PCR. The prognosis of HCC patients with high expressed AC006329.1 was poor. In vitro and in vivo, overexpression of AC006329.1 can promote the progression, metastasis and EMT of HCC by acting as a sponge of miR-127-5p to increase the expression of SHC3. In addition, up-regulation of miR-127-5p or knockdown of SHC3 can both reverse the promoting effects of AC006329.1 on progression, metastasis and EMT of HCC. Finally, WB and qRT-PCR analysis was discovered that AC006329.1 can facilitate HCC progression, EMT and metastasis by competitively inhibiting miR-127-5p to activate SHC3/ERK signaling pathway.

Conclusion

These above experimental results confirmed that AC006329.1 can facilitate HCC progression, EMT and metastasis by acting as a competing endogenous RNA (ceRNA) to inhibit miR-127-5p and activate SHC3/ERK signaling pathway.

Identification of cuproptosis-related lncRNA for predicting prognosis and immunotherapeutic response in cervical cancer

Patients diagnosed with advanced cervical cancer (CC) have poor prognosis after primary treatment, and there is a lack of biomarkers for predicting patients with an increased risk of recurrence of CC. Cuproptosis is reported to play a role in tumorigenesis and progression. However, the clinical impacts of cuproptosis-related lncRNAs (CRLs) in CC remain largely unclear. Our study attempted to identify new potential biomarkers to predict prognosis and response to immunotherapy with the aim of improving this situation. The transcriptome data, MAF files, and clinical information for CC cases were obtained from the cancer genome atlas, and Pearson correlation analysis was utilized to identify CRLs. In total, 304 eligible patients with CC were randomly assigned to training and test groups. LASSO regression and multivariate Cox regression were performed to construct a cervical cancer prognostic signature based on cuproptosis-related lncRNAs. Afterwards, we generated Kaplan-Meier curves, receiver operating characteristic curves and nomograms to verify the ability to predict prognosis of patients with CC. Genes for assessing differential expression among risk subgroups were also evaluated by functional enrichment analysis. Immune cell infiltration and the tumour mutation burden were analysed to explore the underlying mechanisms of the signature. Furthermore, the potential value of the prognostic signature to predict response to immunotherapy and sensitivity to chemotherapy drugs was examined. In our study, a risk signature containing eight cuproptosis-related lncRNAs (AL441992.1, SOX21-AS1, AC011468.3, AC012306.2, FZD4-DT, AP001922.5, RUSC1-AS1, AP001453.2) to predict the survival outcome of CC patients was developed, and the reliability of the risk signature was appraised. Cox regression analyses indicated that the comprehensive risk score is an independent prognostic factor. Moreover, significant differences were found in progression-free survival, immune cell infiltration, therapeutic response to immune checkpoint inhibitors, and IC50 for chemotherapeutic agents between risk subgroups, suggesting that our model can be well employed to assess the clinical efficacy of immunotherapy and chemotherapy. Based on our 8-CRLs risk signature, we were able to independently assess the outcome and response to immunotherapy of CC patients, and this signature might benefit clinical decision-making for individualized treatment.

Advances in epigenetic modifications and cervical cancer research

Cervical cancer (CC) is an important public health problem for women, and perspectives and information regarding its prevention and treatment are quickly evolving. Human papilloma virus (HPV) has been recognized as a major contributor to CC development; however, HPV infection is not the only cause of CC. Epigenetics refers to changes in gene expression levels caused by non-gene sequence changes. Growing evidence suggests that the disruption of gene expression patterns which were governed by epigenetic modifications can result in cancer, autoimmune diseases, and various other maladies. This article mainly reviews the current research status of epigenetic modifications in CC based on four aspects, respectively DNA methylation, histone modification, noncoding RNA regulation and chromatin regulation, and we also discuss their functions and molecular mechanisms in the occurrence and progression of CC. This review provides new ideas for early screening, risk assessment, molecular targeted therapy and prognostic prediction of CC.

Trophectoderm non-coding RNAs reflect the higher metabolic and more invasive properties of young maternal age blastocysts

Increasing female age is accompanied by a corresponding fall in her fertility. This decline is influenced by a variety of factors over an individual's life course including background genetics, local environment and diet. Studying both coding and non-coding RNAs of the embryo could aid our understanding of the causes and/or effects of the physiological processes accompanying the decline including the differential expression of sub-cellular biomarkers indicative of various diseases. The current study is a post-hoc analysis of the expression of trophectoderm RNA data derived from a previous high throughput study. Its main aim is to determine the characteristics and potential functionalities that characterize long non-coding RNAs. As reported previously, a maternal age-related component is potentially implicated in implantation success. Trophectoderm samples representing the full range of maternal reproductive ages were considered in relation to embryonic implantation potential, trophectoderm transcriptome dynamics and reproductive maternal age. The long non-coding RNA (lncRNA) biomarkers identified here are consistent with the activities of embryo-endometrial crosstalk, developmental competency and implantation and share common characteristics with markers of neoplasia/cancer invasion. Corresponding genes for expressed lncRNAs were more active in the blastocysts of younger women are associated with metabolic pathways including cholesterol biosynthesis and steroidogenesis.

A novel necroptosis-related lncRNA based signature predicts prognosis and response to treatment in cervical cancer

Background: Necroptosis has been demonstrated to play a crucial role in the prognosis prediction and assessment of treatment outcome in cancers, including cervical cancer. The purpose of this study was to explore the potential prognostic value of necroptosis-related lncRNAs and their relationship with immune microenvironment and response to treatment in cervical cancer. Methods: Data from The Cancer Genome Atlas (TCGA) were collected to obtain synthetic data matrices. Necroptosis-related lncRNAs were identified by Pearson Correlation analysis. Univariate Cox and multivariate Cox regression analysis and Lasso regression were used to construct a necroptosis-related LncRNAs signature. Kaplan-Meier analysis, univariate and multivariate Cox regression analyses, receiver operating characteristic (ROC) curve, nomogram, and calibration curves analysis were performed to validate this signature. Gene set enrichment analyses (GSEA), immunoassays, and the half-maximal inhibitory concentration (IC50) were also analyzed. Results: Initially, 119 necroptosis-related lncRNAs were identified based on necroptosis-related genes and differentially expressed lncRNAs between normal and cervical cancer samples. Then, a prognostic risk signature consisting of five necroptosis-related lncRNAs (DDN-AS1, DLEU1, RGS5, RUSC1-AS1, TMPO-AS1) was established by Cox regression analysis, and LASSO regression techniques. Based on this signature, patients with cervical cancer were classified into a low- or high-risk group. Cox regression confirmed this signature as an independent prognostic predictor with an AUC value of 0.789 for predicting 1-year OS. A nomogram including signature, age, and TNM stage grade was then established, and showed an AUC of 0.82 for predicting 1-year OS. Moreover, GSEA analysis showed that immune-related pathways were enriched in the low-risk group; immunoassays showed that most immune cells, ESTIMAT scores and immune scores were negatively correlated with risk score and that the expression of immune checkpoint-proteins (CD27, CD48, CD200, and TNFRSF14) were higher in the low-risk group. In addition, patients in the low-risk group were more sensitive to Rucaparib, Navitoclax and Crizotinib than those in the high-risk group. Conclusion: We established a novel necroptosis-related lncRNA based signature to predict prognosis, tumor microenvironment and response to treatment in cervical cancer. Our study provides clues to tailor prognosis prediction and individualized immunization/targeted therapy strategies.

Advances in exosome biomarkers for cervical cancer

Cervical cancer (CC) ranks as the fourth most frequently diagnosed malignancy in females worldwide. Exosomes are a subclass of extracellular vesicles released by nearly all types of cells that act as cargo transport vehicles, carrying proteins, and genetic material (such as miRNAs, long noncoding RNAs, and mRNAs) derived from their parent cells may affect receiving cells and thus have emerged as key players in several biological processes, including inflammatory pathways. In this review, we concentrated on the findings of exosome investigations in CC, particularly their components. They direct the actions of CC cells by inducing surface molecules associated with various biological pathways. We summarized the current knowledge of exosomal RNAs and proteins from CC cells and discussed the feasibility of exosomes as potential biomarkers for CC. We suggest that cancer-derived exosomes promote metastasis in CC by supporting EMT, controlling the proliferation, invasion, or migration of cancer cells, as well as influencing immune escape and aiding angiogenesis. Overall, cancer-derived exosomes are critical in the progression of CC, and further studies are necessary to advance our understanding of the clinical value of exosomes in CC.

Long non‑coding RNA PCAT1 sponges miR‑134‑3p to regulate PITX2 expression in breast cancer

Breast cancer (BC) is the most prevalent cancer among women. Long non‑coding (lnc)RNAs and microRNAs (miRs) both regulate the expression of key genes in tumorigenesis. The present study aimed to explore the molecular mechanism of the prostate cancer‑associated transcript 1 (PCAT1)/miR‑134‑3p/pituitary homeobox 2 (PITX2) in BC. Reverse transcription‑quantitative PCR was performed to examine the expression of miR‑134‑3p. Cell proliferation, viability, cell cycle, apoptosis and migration were analyzed using Cell Counting Kit‑8, colony formation, flow cytometry, wound healing and Transwell assays. Protein expression levels were determined by western blotting. The present study demonstrated that PCAT1 was significantly highly expressed in BC cells. Knockdown of PCAT1 significantly inhibited cell proliferation, migration and invasion, but promoted apoptosis in human BC cell lines. The results of the dual‑luciferase assay showed that PCAT1 targeted miR‑134‑3p, and PITX2 was a potential target of miR‑134‑3p. Western blotting results demonstrated that PCAT1 knockdown significantly reduced the protein expression levels of anti‑apoptotic protein Bcl‑2, and significantly upregulated the protein expression levels of proapoptotic proteins, Bax, cleaved caspase‑3 and cleaved caspase‑9. Furthermore, the effect of a miR‑134‑3p inhibitor on BC progression was rescued by the knockdown of PITX2 in cells transfected with short hairpin RNA‑lncRNA PCAT1. To conclude, the results of the present study indicated that the PCAT1/miR‑134‑3p/PITX2 axis could be a promising therapeutic target in BC treatment.

Identification of Five Ferroptosis-Related LncRNAs as Novel Prognosis and Diagnosis Signatures for Renal Cancer

Background: Ferroptosis is a novel regulated cell death that is characterized by iron-dependent oxidative damage. Renal cancer is the second most common cancer of the urinary system, which is highly correlated with iron metabolism. The aim of our present study was to identify suitable ferroptosis-related prognosis signatures for renal cancer.

Methods: We downloaded the RNA-seq count data of renal cancer from The Cancer Genome Atlas database and used the DESeq2, Survival, and Cox regression analyses to screen the prognosis signatures.

Results: We identified 5 ferroptosis-related differentially expressed lncRNAs (FR-DELs) (DOCK8-AS1, SNHG17, RUSC1-AS1, LINC02609, and LUCAT1) to be independently correlated with the overall survival (OS) of patients with renal cancer. The risk assessment model and diagnosis model constructed by those 5 FR-DELs could well predict the outcome and the diagnosis of renal cancer.

Conclusion: Our present study not only suggested those 5 FR-DELs could be used as prognosis and diagnosis signatures for renal cancer but also provided strategies for other cancers in the screening of ferroptosis-related biomarkers.

The Biological Significance of Long noncoding RNAs Dysregulation and their Mechanism of Regulating Signaling Pathways in Cervical Cancer

Despite the remarkable decrease in cervical cancer incidence due to the availability of the HPV vaccine and implementation of screening programs for early detection in developed countries, this cancer remains a major health problem globally, especially in developing countries where most of the cases and mortality occur. Therefore, more understanding of molecular mechanisms of cervical cancer development might lead to the discovery of more effective diagnosis and treatment options. Research on long noncoding RNAs (lncRNAs) demonstrates the important roles of these molecules in many physiological processes and diseases, especially cancer. In the present review, we discussed the significance of lncRNAs altered expression in cervical cancer, highlighting their roles in regulating highly conserved signaling pathways, such as mitogen-activated protein kinase (MAPK), Wnt/β-catenin, Notch, and phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathways and their association with the progression of cervical cancer in order to bring more insight and understanding of this disease and their potential implications in cancer diagnosis and therapy.

Upregulation of 15 Antisense Long Non-Coding RNAs in Osteosarcoma

The human genome encodes thousands of natural antisense long noncoding RNAs (lncRNAs); they play the essential role in regulation of gene expression at multiple levels, including replication, transcription and translation. Dysregulation of antisense lncRNAs plays indispensable roles in numerous biological progress, such as tumour progression, metastasis and resistance to therapeutic agents. To date, there have been several studies analysing antisense lncRNAs expression profiles in cancer, but not enough to highlight the complexity of the disease. In this study, we investigated the expression patterns of antisense lncRNAs from osteosarcoma and healthy bone samples (24 tumour-16 bone samples) using RNA sequencing. We identified 15 antisense lncRNAs (RUSC1-AS1, TBX2-AS1, PTOV1-AS1, UBE2D3-AS1, ERCC8-AS1, ZMIZ1-AS1, RNF144A-AS1, RDH10-AS1, TRG-AS1, GSN-AS1, HMGA2-AS1, ZNF528-AS1, OTUD6B-AS1, COX10-AS1 and SLC16A1-AS1) that were upregulated in tumour samples compared to bone sample controls. Further, we performed real-time polymerase chain reaction (RT-qPCR) to validate the expressions of the antisense lncRNAs in 8 different osteosarcoma cell lines (SaOS-2, G-292, HOS, U2-OS, 143B, SJSA-1, MG-63, and MNNG/HOS) compared to hFOB (human osteoblast cell line). These differentially expressed IncRNAs can be considered biomarkers and potential therapeutic targets for osteosarcoma.

Long-non-coding RNA RUSC1-AS1 accelerates osteosarcoma development by miR-101-3p-mediated Notch1 signalling pathway

Background

Long non-coding RNA (lncRNA) RUSC1-AS1 has been found to modulate several cancers development. In this study, we explored the role of RUSC1-AS1 on osteosarcoma (OS) progression.

Methods

Quantitative Real-time PCR (qRT-PCR) was conducted to test the relative expression of RUSC1-AS1, Notch1 mRNA and miR-101-3p in OS tissues and adjacent normal tissues. Gain- or loss- of functional assays were carried out to determine the roles of RUSC1-AS1 and miR-101-3p in OS progression both in vitro and in vivo. The expression of E-cadherin, N-cadherin, Vimentin, Snail, Notch1, Ras and ERK was determined by Western blot. Furthermore, the relationships between RUSC1-AS1 and miR-101-3p, Notch1 and miR-101-3p were confirmed through RNA immunoprecipitation (RIP) and dual luciferase reporter gene assay.

Results

RUSC1-AS1 and Notch1 were up-regulated in OS cells and tissues. Down-regulating RUSC1-AS1 significantly attenuated the proliferative, epithelial-mesenchymal transition (EMT), growth, lung metastasis, migrative and invasive abilities of MG-63 and Saos-2 cells, and aggravated apoptosis, accompanied with down-regulated Notch1-Ras-ERK1/2 in those cells both in vitro and in vivo, while overexpression of RUSC1-AS1 exerted opposite effects. Overexpressing miR-101-3p in OS cells had similar effects as RUSC1-AS1 inhibition. In addition, RUSC1-AS1 functioned as a competing endogenous RNA (ceRNA) to competitively sponge miR-101-3p, thus upregulating Notch1 expression and mediating the malignant behaviors of OS cells.

Conclusion

RUSC1-AS1 is a novel oncogenic lncRNA in OS through the miR-101-3p-Notch1-Ras-ERK pathway, which might be a potential therapeutic target for OS.

MicroRNA-744-5p inhibits glioblastoma malignancy by suppressing replication factor C subunit 2

Glioblastoma (GBM) is the most common malignant primary brain tumor, accounting for ~57% of all gliomas and 48% of all malignant primary central nervous system tumors in the United States. Abnormal expression of the replication factor C subunit 2 (RFC2) gene and microRNA (miR)-744-5p is associated with tumorigenic characteristics, including cellular proliferation, migration and invasiveness. However, the mechanism underlying the interaction between miR-744-5p and RFC2 in GBM remains unknown. Reverse transcription-quantitative (RT-q) PCR analysis of RFC2 and miR-744-5p was performed using GBM tumor tissues and cells, and the association between miR-744-5p and RFC2 was determined by dual-luciferase reporter assay. Cell Counting Kit 8, 5-bromo-2-deoxyuridine (BrdU), wound-healing and cellular adhesion assays, as well as the detection of caspase-3 activity and western blotting were used to detect cellular proliferation, migration and adhesion, caspase-3 activity, and Bax and Bcl-2 protein expression, respectively, in GBM cells. The results of the present study demonstrated that RFC2 expression was increased in GBM tissues and cell lines. Overexpression of RFC2 promoted cellular proliferation, migration, adhesion and an increase in Bcl-2 protein levels, and suppressed cellular caspase-3 activity and Bax protein expression, while silencing RFC2 resulted in the opposite effect. The effects of miR-744-5p inhibition were similar to those of RFC2 overexpression. Moreover, miR-744-5p was found to target RFC2 in GBM cells, and inhibiting the expression of RFC2 suppressed GBM tumorigenesis. In conclusion, the present study demonstrated that miR-744-5p targets RFC2 and suppresses the progression of GBM by repressing cellular proliferation, migration and Bcl-2 protein expression, and effectively promoting caspase-3 activity and Bax protein expression. These findings suggest a new target for the clinical treatment and improved prognosis of patients with GBM in the future.

LncRNA RUSC1-AS1 promotes osteosarcoma progression through regulating the miR-340-5p and PI3K/AKT pathway

Dysregulation of long noncoding RNA (lncRNA) is frequently involved in the progression and development of osteosarcoma. LncRNA RUSC1-AS1 is reported to be upregulated and acts as an oncogene in hepatocellular carcinoma, cervical cancer and breast cancer. However, its role in osteosarcoma has not been studied yet. In the present study, we investigated the role of RUSC1-AS1 in osteosarcoma both in vitro and in vivo. The results showed that the expression of RUSC1-AS1 was significantly upregulated in osteosarcoma cell line U2OS and HOS compared to that in human osteoblast cell line hFOB1.19. Similar results were found in human samples. Silencing RUSC1-AS1 by siRNA significantly inhibited U2OS and HOS cell proliferation and invasion, measured by CCK-8 and transwell assay. Besides, knockdown of RUSC1-AS1 increased cell apoptosis in osteosarcoma cell lines. In addition, RUSC1-AS1 promoted the epithelial-mesenchymal transition (EMT) process of osteosarcoma cells. In vivo experiments confirmed that RUSC1-AS1 knockdown had an inhibitory effect on osteosarcoma tumor growth. Mechanically, we showed that RUSC1-AS1 directly binds to and inhibits miR-340-5p and activates the PI3K/AKT signaling pathway. In conclusion, our study demonstrated that RUSC1-AS1 promoted osteosarcoma development both in vitro and in vivo through sponging to miR-340-5p and activating the PI3K/AKT signaling pathway. Therefore, RUSC1-AS1 becomes a potential therapeutic target for osteosarcoma.

Development of a Machine Learning-Based Autophagy-Related lncRNA Signature to Improve Prognosis Prediction in Osteosarcoma Patients

Background

Osteosarcoma is a frequent bone malignancy in children and young adults. Despite the availability of some prognostic biomarkers, most of them fail to accurately predict prognosis in osteosarcoma patients. In this study, we used bioinformatics tools and machine learning algorithms to establish an autophagy-related long non-coding RNA (lncRNA) signature to predict the prognosis of osteosarcoma patients.

Methods

We obtained expression and clinical data from osteosarcoma patients in the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) and Gene Expression Omnibus (GEO) databases. We acquired an autophagy gene list from the Human Autophagy Database (HADb) and identified autophagy-related lncRNAs by co-expression analyses. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the autophagy-related lncRNAs were conducted. Univariate and multivariate Cox regression analyses were performed to assess the prognostic value of the autophagy-related lncRNA signature and validate the relationship between the signature and osteosarcoma patient survival in an independent cohort. We also investigated the relationship between the signature and immune cell infiltration.

Results

We initially identified 69 autophagy-related lncRNAs, 13 of which were significant predictors of overall survival in osteosarcoma patients. Kaplan-Meier analyses revealed that the 13 autophagy-related lncRNAs could stratify patients based on their outcomes. Receiver operating characteristic curve analyses confirmed the superior prognostic value of the lncRNA signature compared to clinically used prognostic biomarkers. Importantly, the autophagy-related lncRNA signature predicted patient prognosis independently of clinicopathological characteristics. Furthermore, we found that the expression levels of the autophagy-related lncRNA signature were significantly associated with the infiltration levels of different immune cell subsets, including T cells, NK cells, and dendritic cells.

Conclusion

The autophagy-related lncRNA signature established here is an independent and robust predictor of osteosarcoma patient survival. Our findings also suggest that the expression of these 13 autophagy-related lncRNAs may promote osteosarcoma progression by regulating immune cell infiltration in the tumor microenvironment.

Targeting Bcl-2 for cancer therapy

Apoptosis deficiency is one of the most important features observed in neoplastic diseases. The Bcl-2 family is composed of a subset of proteins that act as decisive apoptosis regulators. Research and clinical studies have both demonstrated that the hyperactivation of Bcl-2-related anti-apoptotic effects correlates with cancer occurrence, progression and prognosis, also having a role in facilitating the radio- and chemoresistance of various malignancies. Therefore, targeting Bcl-2 inactivation has provided some compelling therapeutic advantages by enhancing apoptotic sensitivity or reversing drug resistance. Therefore, this pharmacological route turned into one of the most promising routes for cancer treatment. This review discusses some of the well-defined and emerging roles of Bcl-2 as well as its potential clinical value in cancer therapeutics.

LncRNA RUSC1-AS1 contributes to the progression of hepatocellular carcinoma cells by modulating miR-340-5p/CREB1 axis

BACKGROUND

Recent studies have proven that there is a relationship between long non-coding RNAs (lncRNAs) and malignant tumor hepatocellular carcinoma (HCC). However, the function of RUSC1-AS1 and its relative regulators in HCC remains unknown.

METHODS

In vitro studies, CCK-8 assays, colony formation assays, transwell assays, and wound healing tests were carried out to evaluate the proliferation, migration, and invasion of HCC cells. The correlation between RUSC1-AS1 expression with tumor size or weight was studied in nude mice. Bioinformatics analysis, dual luciferase, quantitative Real-Time PCR (qRT-PCR), and Western blot analysis aimed to discover the relevance between miR-340-5p and RUSC1-AS1 or cAMP responsive element binding protein 1 (CREB1).

RESULTS

When compared with normal groups, RUSC1-AS1 expression in HCC tissues and HCC cell lines was higher. We also found that knockdown of RUSC1-AS1 inhibited HCC cell progression, including proliferation, migration, and invasion, and suppressed tumorigenesis in vivo. Further studies demonstrated that the expression of RUSC1-AS1 negatively correlated with miR-340-5p expression in HCC cells. In addition, miR-340-5p was identified as a direct target of RUSC1-AS1 and tightly associated with the prevention of tumor progression. Moreover, miR-340-5p bound directly to CREB1. CREB1 overexpression reversed the impact of miR-340-5p on HCC cells. Together, lncRNA RUSC1-AS1 plays a regulatory role in the PI3K/AKT signaling pathway in HCC cells.

CONCLUSION

We demonstrated that lncRNA RUSC1-AS1 influenced HCC cell progression by modulating its downstream target miR-340-5p/CREB1 axis via the PI3K/AKT signaling pathway, which may be a potential prognostic and therapeutic target for treating HCC.

Long Noncoding RNA ST7-AS1 Upregulates TRPM7 Expression by Sponging microRNA-543 to Promote Cervical Cancer Progression

Purpose

ST7 antisense RNA 1 (ST7-AS1) is a long noncoding RNA that affects the progression of gastric cancer and laryngeal squamous cell carcinoma. Herein, ST7-AS1 expression was detected in cervical cancer tissues and cell lines. In addition, its biological roles in inducing the aggressive phenotype of cervical cancer and its associated mechanisms of action were illustrated.

Patients and Methods

ST7-AS1 expression in cervical cancer tissues and cell lines was detected using quantitative real-time polymerase chain reaction (qRT-PCR). Malignancy was determined using Cell Counting Kit-8 assay, flow cytometry, transwell migration and invasion assays, and xenograft experiments. Bioinformatics analysis was performed to predict the interaction between ST7-AS1 and microRNA-543 (miR-543). Luciferase reporter assay, RNA immunoprecipitation assay, Western blotting, qRT-PCR, and rescue experiments were performed to further identify the interactions among ST7-AS1, miR-543, and transient receptor potential melastatin 7 (TRPM7).

Results

ST7-AS1 was upregulated in cervical cancer tissues and cell lines. ST7-AS1 overexpression was correlated with a high International Federation of Gynecology and Obstetrics stage, frequent lymph node metastasis, deep cervical invasion, and short overall survival in patients with cervical cancer. ST7-AS1 inhibition hindered cervical cancer cell proliferation, migration, and invasion; ST7-AS1 downregulation resulted in marked cell apoptosis. Additionally, ST7-AS1 deficiency restricted cervical tumor growth in vivo. Mechanistically, ST7-AS1 functioned as competing endogenous RNA to increase TRPM7 expression by sponging miR-543. Intriguingly, rescue experiments revealed that miR-543 downregulation or TRPM7 overexpression abrogated the inhibitory actions of ST7-AS1 knockdown in the aggressive phenotype of cervical cancer cells.

Conclusion

The newly identified ST7-AS1/miR-543/TRPM7 axis promoted the oncogenicity of cervical cancer cells both in vitro and in vivo. Our study highlighted the importance of this novel axis in cervical cancer progression, suggesting that this pathway can serve as a promising therapeutic target for cervical cancer.