The role of long noncoding RNAs in hepatocellular carcinoma

Exploring the clinical application and biological function of novel tsRNA tsRNA-Asp-5-0002 in hepatocellular carcinoma

BACKGROUND

Hepatocellular Carcinoma (HCC) is a highly fatal cancer, which is the most common malignant tumor globally. Recently, tRNA-derived small RNA (tsRNA) is a type of non-coding RNA that is closely related to various diseases. However, their precise existence and function in HCC remain unclear. We investigated the role of a novel tsRNA tsRNA-Asp-5-0002 in HCC.

METHODS

We screened novel tsRNAs in the TCGA database. There are significant differences in tsRNA-Asp-5-0002 expression in HCC compared with other digestive system tumors. qRT-PCR was applied to confirm the level of tsRNA-Asp-5-0002 in 150 HCC patients, 50 patients with benign liver lesions, and 120 healthy controls. tsRNA-Asp-5-0002 mimics was constructed to transfect HCC cells and explore the effect of tsRNA-Asp-5-0002 on malignant phenotype of HCC. Bioinformatics analysis was used to predict the potential regulatory pathways of tsRNA-Asp-5-0002 in HCC.

RESULTS

(1) tsRNA-Asp-5-0002 is down-regulated in HCC. (2) qRT-PCR detection tsRNA-Asp-5-0002 had high sensitivity and specificity. (3) Low-expressed tsRNA-Asp-5-0002 was related to TNM stage, differentiation, and LNM, and the ROC curve indicated that tsRNA-Asp-5-0002 had a better diagnostic performance for HCC. (4) tsRNA-Asp-5-0002 inhibits the proliferation and migration of HCC through the PLCB1/Wnt axis.

CONCLUSIONS

tsRNA-Asp-5-0002 can work as an auxiliary biomarker for HCC diagnosis. Over-expression of tsRNA-Asp-5-0002 restrains the malignant process of HCC, which may offer fresh tactics for the adjuvant treatment of HCC.

ZNF384 and m6A methylation promote the progression of hepatocellular carcinoma by regulating the interaction between LINC00342 and DAPK1

Hepatocellular carcinoma (HCC) is a malignant tumor with high morbidity and mortality. Many lncRNAs play important regulatory roles in the pathogenesis of HCC, but the mechanism of action of LINC00342 in the progression of HCC remains unclear. In this study, we assessed 24 pairs of HCC tissues and adjacent normal tissues as well as HCC cells and a nude mouse model of HCC. Gene and protein expression was evaluated by flow cytometry, CCK-8, RIP, colony formation assay, and TUNEL staining. This study revealed that LINC00342 was highly expressed in HCC tissues and cells. LINC00342 knockdown significantly inhibited the proliferation and migration of HCC cells, promoted apoptosis, inhibited tumor growth in vivo, and increased the sensitivity of HCC cells to cisplatin. The opposite effect was observed in LINC00342-overexpressing cells. Mechanistically, ZNF384 and m6A methylation can promote the transcription and stability of LINC00342, and LINC00342 can bind to DAPK1, which inhibits Cyt C release and the activation of caspase family proteins to accelerate HCC progression. Our study indicated that the inhibition of LINC00342 expression may represent a new breakthrough for HCC treatment.

Long non-coding RNA in the regulation of cell death in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer, accounting for 90% of all cases. Currently, early diagnosis of HCC can be achieved through serum alpha-fetoprotein detection, B-ultrasound, and computed tomography scanning; however, their specificity and sensitivity are suboptimal. Despite significant advancements in HCC biomarker detection, the prognosis for patients with HCC remains unfavorable due to tumor heterogeneity and limited understanding of its pathogenesis. Therefore, it is crucial to explore more sensitive HCC biomarkers for improved diagnosis, monitoring, and management of the disease. Long non-coding RNA (lncRNA) serves as an auxiliary carrier of genetic information and also plays diverse intricate regulatory roles that greatly contribute to genome complexity. Moreover, investigating gene expression regulation networks from the perspective of lncRNA may provide insights into the diagnosis and prognosis of HCC. We searched the PubMed database for literature, comprehensively classified regulated cell death mechanisms and systematically reviewed research progress on lncRNA-mediated cell death pathways in HCC cells. Furthermore, we prospectively summarize its potential implications in diagnosing and treating HCC.

Long noncoding RNA semaphorin 6A-antisense RNA 1 reduces hepatocellular carcinoma by promoting semaphorin 6A mRNA degradation

BACKGROUND

Hepatocellular carcinoma (HCC) is a prevalent malignant tumor with a poor prognosis, which is often associated with chronic hepatitis B virus infection in China. Our previous study has shown that long non-coding RNA semaphorin 6A-antisense RNA 1 (SEMA6A-AS1) was significantly downregulated in hepatitis B virus-related HCC and associated with poor prognosis.

AIM

To explore the underlying mechanism of SEMA6A-AS1 in HCC progression.

METHODS

The expression levels of SEMA6A-AS1 and SEMA6A were detected using quantitative polymerase chain reaction, immunohistochemistry and Western blot. A growth curve, colony formation, wound-healing and transwell (with or without Matrigel) assays were respectively performed to assess the proliferation, migration and invasion abilities of HCC cells. Cell cycle and apoptosis assays were performed by flow cytometry. To investigate the potential mechanism underpinning SEMA6A-AS1, we utilized tagged RNA affinity purification, dual luciferase reporter assay and immunofluorescence.

RESULTS

Downregulation of SEMA6A-AS1 in HCC was negatively correlated with SEMA6A protein expression. SEMA6A was upregulated in HCC and correlated with high alpha-fetoprotein level, high Edmondson-Steiner grade and poor prognosis. SEMA6A-AS1 significantly inhibited the proliferation, migration and invasion of HCC cells by combining with SEMA6A mRNA and promoting its degradation. SEMA6A protein promoted the proliferation, migration and invasion of HCC cells by regulating the actin cytoskeleton.

CONCLUSION

Our findings suggest that SEMA6A-AS1 can inhibit HCC progression through decreasing SEMA6A expression by promoting its mRNA degradation. SEMA6A-AS1 may be a prognostic biomarker and therapeutic target for HCC.

The LncRNA lnc-POTEM-4:14 promotes HCC progression by interacting with FOXK1

Hepatocellular carcinoma (HCC) is one of the most common malignant tumours of the digestive tract and poses a serious threat to human life. This study first analysed two GEO datasets (GSE166705 and GSE115018) to screen for differentially expressed lncRNAs between HCC and adjacent tissues. The lncRNA lnc-POTEM-4:14 was determined via a series of methods to be closely related to liver cancer. Further research was subsequently performed to investigate the role of the lncRNA lnc-POTEM-4:14 in the progression of HCC. The lncRNA lnc-POTEM-4:14 is localized primarily within the nucleus and is highly expressed in liver cancer tissues. We established lnc-POTEM-4:14 knockdown and overexpression cell lines to analyse the role of lnc-POTEM-4:14 in liver cancer through functional experiments such as qPCR and WB. We identified FOXK1 as an RNA-binding protein (RBP) of lnc-POTEM-4:14 that participates in MAPK signal activation and cell cycle progression by regulating the activation or expression levels of the downstream target protein TAB1 as a transcription factor. The restoration of FOXK1 can rescue the limited proliferation and increased apoptosis caused by lnc-POTEM-4:14 knockdown. Finally, we validated our hypothesis in a nude mouse tumour-bearing model. In conclusion, lnc-POTEM-4:14 affects the progression of HCC through the FOXK1/TAB1/NLK axis, suggesting that lnc-POTEM-4:14 has potential as a therapeutic target for treating this aggressive malignancy.

Mechanistic insights into Uc001kfo-induced hepatocellular carcinoma metastasis

BACKGROUND

Previous studies have identified the long non-coding RNA (lncRNA) Uc001kfo as significantly upregulated in hepatocellular carcinoma (HCC) tissues, particularly in advanced stages, compared to adjacent non-cancerous tissues. This study aims to further explore the molecular mechanisms by which Uc001kfo promotes HCC metastasis, focusing on its regulation of α-SMA expression.

METHODS

The study investigate the effects of Uc001kfo on proliferation, migration, and invasion in HCC cells using in vitro assays. Additionally, we also explored the molecular mechanism by which Uc001kfo indirectly regulates α-SMA gene transcription through its targeting of Sp1. Finally, we conducted preliminary validation in mice model to assess the potential for Uc001kfo-targeted silencing to inhibit HCC cell invasion and metastasis.

RESULTS

The results of the study demonstrate that the Uc001kfo/Sp1/α-SMA pathway plays a role in regulating HCC metastasis. Uc001kfo inhibits the degradation of Sp1 protein, thereby promoting Sp1 binding to the α-SMA promoter and enhancing its transcription. Consequently, silencing Uc001kfo can indirectly suppress α-SMA expression, effectively inhibiting HCC cell proliferation, invasion, and migration in vitro, as well as liver metastasis in mice through the spleen.

CONCLUSION

Uc001kfo plays a critical role in promoting HCC metastasis, making it a potential a promising therapeutic target for inhibiting tumor progression and metastasis in HCC.

The emerging landscape of small nucleolar RNA host gene 10 in cancer mechanistic insights and clinical relevance

Small nucleolar RNA host gene 10 (SNHG10) is a newly recognized long non-coding RNA (lncRNA) with significant implications in cancer biology. Abnormal expression of SNHG10 has been observed in various solid tumors and hematological malignancies. Research conducted in vivo and in vitro has revealed that SNHG10 plays a pivotal role in numerous biological processes, including cell proliferation, apoptosis, invasion and migration, drug resistance, energy metabolism, immune evasion, as well as tumor growth and metastasis. SNHG10 regulates tumor development through several mechanisms, such as competing with microRNA (miRNA) for binding sites, modulating various signaling pathways, influencing transcriptional activity, and affecting epigenetic regulation. The diverse biological functions and intricate mechanisms of SNHG10 highlight its considerable clinical relevance, positioning it as a potential pan-cancer biomarker and therapeutic target. This review aims to summarize the role of SNHG10 in tumorigenesis and cancer progression, clarify the molecular mechanisms at play, and explore its clinical significance in cancer diagnosis and prognosis prediction, along with its therapeutic potential.

NRIR promotes immune escape in hepatocellular cancer by regulating IFNγ-induced PD-L1 expression

INTRODUCTION

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors worldwide, with insensitive treatment and poor prognosis; in recent years, breakthroughs in IFN signaling pathway and PDL1/PD1 signaling pathway in HCC immunotherapy research.

OBJECTIVES

This study aimed to investigate the molecular mechanisms controlling the immune response and immune evasion.

METHODS

NRIR was identified as a differential gene affecting the IFN signaling pathway and PDL1/PD1 signaling pathway in HCC by bioinformatics, and the function of NRIR was investigated in the HCC cell model and the xenograft mouse model. Quantitative Real-time PCR (qRT-PCR) was used to detect NRIR and PD-L1 mRNAs in hepatocellular carcinoma tissues, and dual luciferase reporter gene assay, fluorescence in situ hybridization, western blot and RNA immunoprecipitation (RIP) to explore the molecular mechanisms between NRIR and target genes.

RESULTS

In this study, we observed a significant positive correlation between NRIR and PD-L1 expression in HCC, and NRIR upregulated PD-L1 expression in HCC by modulating the IFNγ signaling pathway. We demonstrated that NRIR recruited the transcription factor ZNF384 to initiate CMPK2 transcription. Furthermore, CMPK2 regulates ATP production to modulate STAT1 activation to affect PD-L1 expression.

CONCLUSION

Our findings revealed the important players of NRIR in regulating PD-L1 expression in HCC and provided new insights for the clinical application of immune-targeted therapies.

Identification of DAP3 as candidate prognosis marker and potential therapeutic target for hepatocellular carcinoma

Background

Among malignant tumors, hepatocellular carcinoma (HCC) is both prevalent and highly lethal. Most patients with advanced-stage liver cancer have a poor prognosis. Death-associated protein 3 (DAP3) is reportedly related to tumors and may hold great promise for the future.

Methods

DAP3 transcriptome data along with related clinical information were obtained from The Cancer Genome Atlas (TCGA), GEO, and ICGC databases. We assessed its prognostic value, clinical relevance, associated pathways, immune infiltration, gene mutations, and sensitivity to chemotherapeutics. A prognostic risk model was subsequently developed and evaluated using receiver operating characteristic (ROC) curves and Kaplan-Meier (KM) plots. Additionally, a nomogram was created and validated through calibration and decision curve analysis (DCA). Furthermore, quantitative real-time PCR (qRT-PCR), Western blot, and immunohistochemical (IHC) staining were performed to examine the expression of DAP3 in HCC. Finally, gene knockdown and overexpression experiments, along with cell counting kit-8 (CCK-8) assays, colony formation assays, and tests for cell apoptosis, migration, and invasion, were conducted to investigate the role of DAP3 in HCC.

Results

The study discovered that DAP3 expression was linked to HCC subtypes, and its high expression was linked to a poor prognosis. There were significant differences in immune infiltration level, mutation level, prognostic value and chemotherapeutic efficacy. Subsequently, we constructed a prognostic model and demonstrated that high risk score was significantly related to a poor survival rate. A predictive nomogram demonstrated that the nomogram model was effective prediction tool that can accurately predict the survival rate of patients with different clinical characteristics. Additionally, DAP3 expression significantly increased in both tissue samples and cell lines. Elevated levels of DAP3 were correlated with larger tumor size and higher alpha-fetoprotein (AFP) levels, and Cox analysis confirmed that DAP3 was a clinically independent prognostic marker. Finally, cell assays revealed that the knockdown of DAP3 significantly impeded cell proliferation and metabolic activity and induced apoptosis. Conversely, the overexpression of DAP3 had opposite effects on these cellular processes.

Conclusions

Our study on DAP3 can provide a reference for HCC diagnosis, treatment and prognosis assessment.

The liver-specific long noncoding RNA FAM99B inhibits ribosome biogenesis and cancer progression through cleavage of dead-box Helicase 21

Emerging evidence has demonstrated that long noncoding RNAs (lncRNAs) are promising targets or agents for the treatment of human cancers. Most liver-specific lncRNAs exhibit loss of expression and act as tumor suppressors in liver cancer. Modulating the expression of these liver-specific lncRNAs is a potential approach for lncRNA-based gene therapy for hepatocellular carcinoma (HCC). Here, we report that the expression of the liver-specific lncRNA FAM99B is significantly decreased in HCC tissues and that FAM99B suppresses HCC cell proliferation and metastasis both in vitro and in vivo. FAM99B promotes the nuclear export of DDX21 through XPO1, leading to further cleavage of DDX21 by caspase3/6 in the cytoplasm. FAM99B inhibits ribosome biogenesis by inhibiting ribosomal RNA (rRNA) processing and RPS29/RPL38 transcription, thereby reducing global protein synthesis through downregulation of DDX21 in HCC cells. Interestingly, the FAM99B65-146 truncation exhibits tumor-suppressive effects in vivo and in vitro. Moreover, GalNAc-conjugated FAM99B65-146 inhibits the growth and metastasis of orthotopic HCC xenografts, providing a new strategy for the treatment of HCC. This is the first report of the use of a lncRNA as an agent rather than a target in tumor treatment. Graphical illustration of the mechanism of FAM99B in HCC.

Prognostic value and immune landscapes of disulfidptosis‑related lncRNAs in bladder cancer

Disulfidptosis, which was recently identified, has shown promise as a potential cancer treatment. Nonetheless, the precise role of long non-coding RNAs (lncRNAs) in this phenomenon is currently unclear. To elucidate their significance in bladder cancer (BLCA), a signature of disulfidptosis-related lncRNAs (DRlncRNAs) was developed and their potential prognostic significance was explored. BLCA sample data were sourced from The Cancer Genome Atlas. A predictive signature comprising DRlncRNAs was formulated and subsequently validated. The combination of this signature with clinical characteristics facilitated the development of a nomogram with practical clinical utility. Additionally, enrichment analysis was conducted, the tumor microenvironment (TME) was assessed, the tumor mutational burden (TMB) was analyzed, and drug sensitivity was explored. Reverse transcription-quantitative PCR (RT-qPCR) was utilized to quantify lncRNA expression. The results revealed an eight-gene signature based on DRlncRNAs was established, and the predictive accuracy of the nomogram that incorporated the risk score [area under the curve (AUC)=0.733] outperformed the nomogram without it (AUC=0.703). High-risk groups were associated with pathways such as WNT signaling, focal adhesion and cell cycle pathways. The TME study revealed that high-risk patients had increased immune infiltration, whereas the TMB and tumor immune dysfunction and exclusion scores in low-risk patients indicated a potentially robust immune response. Drug sensitivity analysis identified appropriate antitumor drugs for each group. RT-qPCR experiments validated significant differences in DRlncRNAs expression between normal and BLCA cell lines. In conclusion, the prognostic risk signature, which includes the eight identified DRlncRNAs, demonstrates promise for predicting prognosis of patients with BLCA and guiding the selection of suitable immunotherapy and chemotherapy strategies.

LRP11-AS1 mediates enterotoxigenic Bacteroides fragilis-related carcinogenesis in colorectal Cancer via the miR-149-3p/CDK4 pathway

Long noncoding RNAs (lncRNAs) are critical in tumorigenesis and show potential for tumor diagnosis and therapy. Enterotoxigenic Bacteroides fragilis (ETBF), known for producing enterotoxins, is implicated in human gut tumorigenesis, yet the underlying mechanisms are not fully elucidated. This study aims to clarify the molecular mechanisms by which lncRNAs contribute to ETBF-induced tumorigenesis, with a focus on LRP11-AS1's role in modulating ETBF's colorectal carcinogenesis. We found a marked increase in LRP11-AS1 expression in colorectal cancer (CRC) tissues compared to adjacent non-tumorous tissues. In vitro, CRC cells exposed to ETBF showed elevated LRP11-AS1 levels. Mechanistically, LRP11-AS1 was shown to enhance CDK4 expression by competitively binding to miR-149-3p. These results indicate that LRP11-AS1 may facilitate ETBF-related carcinogenesis in CRC and could serve as a therapeutic target and diagnostic biomarker for ETBF-associated CRC.

Investigating SNHG3 as a potential therapeutic approach for HCC stem cells

INTRODUCTION

Hepatocellular Carcinoma (HCC) is a common malignant tumor worldwide. Long Non-Coding RNA (lncRNA) has gained attention in tumor biology, and this study aims to investigate the role of lncRNA SNHG3 in HCC, specifically in the self-renewal and maintenance of liver cancer stem cells.

METHODS

The expression of lncRNA SNHG3 was analyzed in HCC and adjacent normal tissue using the TCGA database. The expression levels of SNHG3 in HCC cell lines (Hep3B, HepG2, Huh7) were detected using qRT-PCR and Western blot techniques. Functional assays, including CCK-8, soft agar colony formation, and tumor sphere formation, were performed to evaluate the impact of SNHG3 on HCC stem cell functionality. MeRIP-qPCR was also used to investigate the regulatory role of SNHG3 in m6A modification of ITGA6 mRNA mediated by METTL3.

RESULTS

The study found that SNHG3 was significantly upregulated in HCC tissue and cell lines compared to normal liver tissue. SNHG3 expression correlated with the pathological stage, metastasis status, and tumor size of liver cancer. Inhibiting SNHG3 reduced proliferation, colony formation, and tumor sphere formation ability in HCC stem cells. SNHG3 also played a role in regulating the m6A modification and expression of ITGA6 through METTL3.

CONCLUSION

This study emphasizes the upregulation of lncRNA SNHG3 and its role in HCC stem cell self-renewal. SNHG3 may regulate the m6A modification of ITGA6 mRNA through its interaction with METTL3, impacting the function of liver cancer stem cells. These findings support the potential of targeting SNHG3 as a therapeutic approach for HCC.

LINC02987 suppression hepatocellular carcinoma progression by modulating autophagy via the miR-338-3p/ATG12 axis

Hepatocellular carcinoma (HCC), the most common primary liver cancer, is marked by a high mortality rate, with the misregulation of long non-coding RNAs (LncRNAs) playing a key role in its development. Here, we studied the role of LINC02987 in HCC. We employed bioinformatics tools to identify LncRNAs and miRNAs that exhibit differential expression in HCC. Quantitative real-time reverse transcription PCR (RT-qPCR) and Western blot analysis were utilized to quantify gene and protein expression levels. The interaction between miR-338-3p and LINC02987 or ATG12 was confirmed through dual-luciferase reporter and RNA immunoprecipitation (RIP) assays. We observed that LINC02987 was overexpressed in HCC tumor tissues and cell lines. Silencing of LINC02987 led to a reduction in cell viability, diminished clonogenic potential, and attenuated invasive and migratory capabilities. Also, decreasing protein level and fluorescence intensity of the autophagy-associated LC3 I/II. In HCC, miR-338-3p expression was downregulated, while inversely correlates with the overexpression of the autophagy protein ATG12. Mimicking miR-338-3p suppresses the activity of both LINC02987 and ATG12, as evidenced by reduced luciferase signals in corresponding reporter assays. Mimicking miR-338-3p suppresses the activity of both LINC02987 and ATG12, as evidenced by reduced luciferase signals in reporter assays. Transfection with si-LINC02987 decreased ATG12 expression, an effect that was partially reversed by miR-338-3p knockdown. Inhibition of miR-338-3p or overexpression of ATG12 increased LC3 I/II protein levels. Our results indicate that LINC02987 sequesters miR-338-3p, leading to increased ATG12 and promoting autophagy in HCC cells. These results highlight the potential of LINC02987 as a therapeutic target for the treatment of HCC.

LncRNA-miRNA-mRNA regulatory axes as potential biomarkers in cervical cancer: a comprehensive overview

Despite the recent advances in vaccination and treatment strategies, cervical cancer continues to claim numerous lives every year. Owing to the fact that non-coding RNAs (ncRNAs) such as long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) interact with coding transcripts, and effectuate key roles in the tumorigenesis and metastasis of cervical cancer, there has been extensive research in recent years to explore their potential as biomarkers for early detection, or as therapeutic targets. Through this review, we aim to provide a comprehensive overview of the recent advancements in discoveries about cervical cancer-associated lncRNA-miRNA-mRNA axes, their dysregulation, and their roles in various signaling pathways associated with the growth, survival, invasion, and metastasis of cervical cancer cells. We further discuss the potential therapeutic strategies to utilize the dysregulated lncRNAs as diagnostic and prognostic biomarkers, and as therapeutic targets to ameliorate the prognosis of cervical cancer.

Upregulation of long noncoding RNAs LINC00941 and ABHD11-AS1 is associated with intrahepatic cholangiocarcinoma

ObjectiveMany long noncoding RNAs (lncRNAs) are associated with liver cancers, mainly hepatocellular carcinoma (HCC) and to a smaller extent intrahepatic cholangiocarcinoma (CCA). Most of such lncRNAs show similar dysregulation patterns when the two types of tumors are compared, suggesting that these aberrations are characteristic features of these liver tumor types. In the present study, we aimed to identify some candidate lncRNAs that are associated specifically with CCA.MethodsAccording to The Cancer Genome Atlas data, we chose LINC00941, ABHD11-AS1, and CASC8 as promising biomarkers dysregulated in CCA but unaffected in HCC. We first verified their upregulation in an existing transcriptomic dataset for CCA patients. Next, we estimated expression levels of these three lncRNAs by reverse-transcription quantitative PCR in a group of paired (tumorous/adjacent) postsurgery tissue samples from 110 patients with various liver lesions: CCA, HCC, combined HCC-CCA, or benign liver tumors.ResultsSignificant upregulation of LINC00941 and ABHD11-AS1 was noted in most of the investigated CCA samples, whereas in HCC samples, increased expression of these two lncRNAs was observed only in some types of cases (mainly characterized by an advanced tumor stage). In contrast, CASC8 manifested extremely low expression and no diagnostic potential in all the tested liver samples. Analyzing expression correlations of lncRNAs with candidate genes, we obtained strong evidence for LINC00941-mediated upregulation of CAPRIN2 in CCA.ConclusionsFor the first time, we show the upregulation of LINC00941 and ABHD11-AS1 in CCA and report their good potential as diagnostic biomarkers for this type of liver tumor.

Clinical Significance and Pathogenic Mechanisms of Long Non-Coding RNA TRPM2-AS in Cancers

Long non-coding RNAs (lncRNAs) are known to play vital roles in human cancers. LncRNA TRPM2-AS has been found to be upregulated in various types of cancers. The elevated levels of TRPM2-AS are associated with important clinicopathological parameters such as tumor size, tumor stage, and lymph node metastasis, revealing that TRPM2-AS could be a potential target for cancer diagnosis, prognosis and treatment. Moreover, TRPM2-AS is involved in regulating the cell proliferation, migration, invasion, apoptosis, drug or radio resistance by serving as a competing endogenous RNA, directly bounding to proteins and regulating multiple signaling pathways. In this review, we comprehensively summarize the latest knowledge on the aberrant expression of TRPM2-AS, the relationship between TRPM2-AS and clinical features, and the detailed mechanisms of potential functions of TRPM2-AS in various cancer types. The current study highlights the potential of TRPM2-AS as a prognostic and therapeutic target in cancers.

LINC00667: A Novel Vital Oncogenic LincRNA

Long intergenic noncoding RNAs (lincRNAs) have a variety of properties that differ from those of messenger RNAs (mRNAs) encoding proteins. Long intergenic nonprotein coding RNA 667 (LINC00667) is a non-coding transcript located on chromosome 18p11.31. Recently, many studies have found that LINC00667 can enhance the progression of various cancers and play a key part in a lot of diseases, such as tumorigenesis. Therefore, LINC00667 can be recognized as a potential biomarker and therapeutic target. So, we reviewed the biological functions, relevant mechanisms, as well as clinical significance of LINC00667 in several human cancers in detail.

High-Throughput Single-Nucleus RNA Profiling of Minimal Puncture FFPE Samples Reveals Spatiotemporal Heterogeneity of Cancer

Puncture biopsy, especially those preserved by formalin fixed paraffin embedding (FFPE) samples, play an important role in various research purposes. Diverse single-nucleus RNA sequencing (snRNA-seq) techniques have been developed for FFPE samples, however, how to perform high-throughput snRNA-seq on small FFPE puncture samples is still a challenge. Here, the previously developed snRNA-seq technique (snRandom-seq) is optimized by implementing a pre-indexing procedure for the minimal puncture FFPE samples. In analyzing 20 samples from various solid tumors, optimized snRandom-seq still detected ≈17 000 genes and 12 000 long non-coding RNAs (lncRNAs), achieving precise clustering based on tissue origin. A head-to-head comparison with 10× Genomics on fresh biopsy samples showed a similar gene detection rate, with significantly enhanced lncRNA detection, indicating that the optimized snRandom-seq technique maintains its established gene detection advantages even when applied to small samples. Utilizing 7 puncture FFPE samples of liver metastases from 3 colorectal cancer patients pre- and post-immunotherapy, the cellular developmental trajectories are reconstructed and revealed dynamic spatiotemporal heterogeneity during treatment, including insights into pseudoprogression of immunotherapy. Therefore, the optimized snRandom-seq offers a solution for high-throughput single-cell RNA and non-coding RNA analysis in minimal puncture FFPE sample.

Ferroptosis in hepatocellular carcinoma: Mechanisms and therapeutic implications

Ferroptosis is a novel form of oxidative cell death, in which highly expressed unsaturated fatty acids on the cell membrane are catalyzed by divalent iron or ester oxygenase to promote liposome peroxidation. This process reduces cellular antioxidant capacity, increases lipid reactive oxygen species, and leads to the accumulation of intracellular ferrous ions, which disrupts intracellular redox homeostasis and ultimately causes oxidative cell death. Studies have shown that ferroptosis induces an immune response that has a dual role in liver disease, ferroptosis also offers a promising strategy for precise cancer therapy. Ferroptosis regulators are beneficial in maintaining cellular homeostasis and tissue health, have shown efficacy in treating diseases of the hepatic system. However, the mechanisms of action and molecular regulatory pathways of ferroptosis in hepatocellular carcinoma (HCC) have not been fully elucidated. Therefore, deciphering the role of ferroptosis and its mechanisms in HCC progression is crucial for treating the disease. In this review, we introduce the morphological features and biochemical functions of ferroptosis, outline the molecular regulatory pathways of ferroptosis, and highlights the therapeutic potential of ferroptosis inhibitors and modulators to target it in HCC.

The functional role of LncRNA HOXA-AS2 in multiple human cancers

Humans have more than 270,000 lncRNAs. Among these, lncRNA HOXA-AS2 is considered a transformative gene involved in various cellular processes, including cell proliferation, apoptosis, migration, and invasion. Thus, it can be regarded as a potential tumor marker for both diagnosis and prognosis. Aberrant expression of lncRNAs is associated with many cancers, including hepatocellular carcinoma (HCC), gallbladder carcinoma (GBC), acute promyelocytic leukemia (APL), lung cancer (LC), prostate cancer (PC), osteosarcoma (OS), colorectal cancer (CRC), cervical cancer (CC), and acute myeloid leukemia (AML). Targeting lncRNAs could be a promising strategy to complement or replace current cancer treatments. As a non-coding oncogene, lncRNA HOXA-AS2 is implicated in multiple cancers and could serve as a potential biomarker for various malignancies. The tumor size and disease stage of several cancers are correlated with HOXA-AS2 expression. Silencing HOXA-AS2 effectively suppresses tumor cell proliferation and promotes apoptosis, thereby inhibiting the progression of multiple cancer types. The regulatory mechanisms of HOXA-AS2 include inducing epithelial-mesenchymal transition (EMT), overexpressing B-cell lymphoma-2 (Bcl-2) and MYC proto-oncogene (c-Myc), gene silencing, activating AKT-MMP signaling pathways, EZH2 and LSD1, and functioning within a competing endogenous RNA (ceRNA) regulatory network by competitively binding miRNAs. This review surveys recent research on the structure, biological functions, abnormal expression, regulatory mechanisms, and diagnostic and therapeutic potential of HOXA-AS2 in various cancers.

High linc01116 expression may contribute to a poor prognosis in various cancers based on systematic reviews and meta-analyses

BACKGROUND

Long non-coding RNA 01116 (linc01116) has been shown to be dysregulated in many tumors, and is closely related to the prognosis. This meta-analysis aimed to examine the correlation between linc01116 expression and cancer prognosis.

METHODS

Six electronic databases were searched, and eligible studies were screened based on the inclusion and exclusion criteria. Data including hazard ratios (HRs) and 95% confidence intervals (CIs), TNM stage, distant metastasis (DM) status, lymph node metastasis (LNM) status, and tumor size were extracted from the included studies. HRs and odds ratios (ORs) with their corresponding 95% CIs were separately pooled to assess the relationship between linc01116 expression and cancer prognosis. Sensitivity analysis and Begg's test were performed to assess publication or other biases.

RESULTS

A total of 12 studies involving 809 patients were included in this meta-analysis. Analysis of pooled HRs with 95% CIs showed that high linc01116 expression was significantly correlated with poor overall survival (OS) (HR = 2.096; 95% CI: 1.555-2.638), progression-free survival (PFS) (HR, 1.9314; 95% CI: 1.020-3.657), disease-free survival (DFS) (HR = 2.067; 95% CI: 1.0889-3.9238), an advanced TNM stage (OR, 1.803; 95% CI: 1.270-2.562), and a poor histological grade (OR, 1.968; 95% CI: 1.288-3.007). However, no significant correlation was observed between linc01116 expression and LNM (OR, 1.198; 95% CI: 0.831-1.728), DM (OR, 1.114; 95% CI: 0.757-1.638), tumor size (OR, 1.336; 95% CI: 0.989-1.804), depth of invasion (OR, 1.375; 95% CI: 0.756-2.501), age (OR, 0.976; 95% CI: 0.742-1.283), or sex (OR, 0.810; 95% CI: 0.599-1.094). Sensitivity analysis indicated that the overall results of OS analysis were reliable and robust. In addition, Begg's test showed that none of the included studies had significant publication bias.

CONCLUSION

linc01116 is upregulated in most cancers, and this upregulation is associated with a poor prognosis. Therefore, linc01116 serves as a promising therapeutic target and prognostic biomarker for cancer.

Long non-coding RNA LNC-POTEM-4 promotes HCC progression via the LNC-POTEM-4/miR-149-5p/Wnt4 signaling axis

Information on the potential role of the long non-coding RNA LNC-POTEM-4 in cancer progression is limited. Our preliminary study found that LNC-POTEM-4 was overexpressed in hepatocellular carcinoma (HCC) tissues, which led us to further investigate the biological function and molecular mechanism of LNC-POTEM-4 in HCC development. LNC-POTEM-4 expression in HCC tissues was examined using transcriptome sequencing and quantitative reverse transcription PCR. The relationships between LNC-POTEM-4 and the stage and prognosis of HCC in patient data from the TCGA database were analyzed. The effects of LNC-POTEM-4 on proliferation, invasion/migration, and epithelial-mesenchymal transition marker expression in HCC cells were evaluated in vitro using gain- and loss-of-function assays, while its effects on tumor growth and metastasis were explored through animal experiments. A LNC-POTEM-4/microRNA (miR)-149-5p/Wnt4 regulatory signaling axis was identified using bioinformatics analysis, and dual luciferase reporter, RNA immunoprecipitation, and RNA pull-down assays. Co-transfection of LNC-POTEM-4 and Wnt4 expression plasmids was employed to confirm the new signaling pathway. We found that LNC-POTEM-4 was overexpressed in HCC tissues and was linked to poor staging and prognosis. LNC-POTEM-4 promoted proliferation, invasion, migration, and the epithelial-mesenchymal transition of HCC cells in vitro. Silencing of LNC-POTEM-4 inhibited HCC growth and distant metastasis in vivo. Mechanically, LNC-POTEM-4 was found to function as a competitive endogenous RNA, upregulating Wnt4 by sponging miR-149-5p to promote HCC progression. Wnt4 overexpression may have counteracted the tumor-inhibition effect of LNC-POTEM-4 silencing. In conclusion, LNC-POTEM-4 upregulated Wnt4 to activate the Wnt signaling pathway and stimulate the malignancy tendency of HCC by sponging miR-149-5p, providing a prospective target for the detection and therapy of HCC. However, the effects of LNC-POTEM-4 on the miR-149-5p/Wnt4 signaling axis should be further studied in animal experiments.

Cell Cycle-Related LncRNA-Based Prognostic Model for Hepatocellular Carcinoma: Integrating Immune Microenvironment and Treatment Response

OBJECTIVE

Hepatocellular carcinoma (HCC) presents substantial genetic and phenotypic diversity, making it challenging to predict patient outcomes. There is a clear need for novel biomarkers to better identify high-risk individuals. Long non-coding RNAs (lncRNAs) are known to play key roles in cell cycle regulation and genomic stability, and their dysregulation has been closely linked to HCC progression. Developing a prognostic model based on cell cycle-related lncRNAs could open up new possibilities for immunotherapy in HCC patients.

METHODS

Transcriptomic data and clinical samples were obtained from the TCGA-HCC dataset. Cell cycle-related gene sets were sourced from existing studies, and coexpression analysis identified relevant lncRNAs (correlation coefficient >0.4, P<0.001). Univariate analysis identified prognostic lncRNAs, which were then used in a LASSO regression model to create a risk score. This model was validated via cross-validation. HCC samples were classified on the basis of their risk scores. Correlations between the risk score and tumor mutational burden (TMB), tumor immune infiltration, immune checkpoint gene expression, and immunotherapy response were evaluated via R packages and various methods (TIMER, CIBERSORT, CIBERSORT-ABS, QUANTISEQ, MCP-COUNTER, XCELL, and EPIC).

RESULTS

Four cell cycle-related lncRNAs (AC009549.1, AC090018.2, PKD1P6-NPIPP1, and TMCC1-AS1) were significantly upregulated in HCC. These lncRNAs were used to create a risk score (risk score=0.492×AC009549.1+1.390×AC090018.2+1.622×PKD1P6-NPIPP1+0.858×TMCC1-AS1). This risk score had superior predictive value compared to traditional clinical factors (AUC=0.738). A nomogram was developed to illustrate the 1-year, 3-year, and 5-year overall survival (OS) rates for individual HCC patients. Significant differences in TMB, immune response, immune cell infiltration, immune checkpoint gene expression, and drug responsiveness were observed between the high-risk and low-risk groups.

CONCLUSION

The risk score model we developed enhances the prognostication of HCC patients by identifying those at high risk for poor outcomes. This model could lead to new immunotherapy strategies for HCC patients.

Long non-coding RNAs-sphingolipid metabolism nexus: Potential targets for cancer treatment

Long non-coding RNAs (lncRNAs) have emerged as pivotal regulators of cancer pathogenesis, influencing various cellular processes and contributing to tumorigenesis. Sphingolipid metabolism has garnered interest as a potential target for cancer therapy owing to its considerable diagnostic and prognostic value. Recent studies have demonstrated that lncRNAs regulate tumor-associated metabolic reprogramming via sphingolipid metabolism. However, the precise nature of the interactions between lncRNAs and sphingolipid metabolism remains unclear. This review summarizes the key roles of lncRNAs and sphingolipid metabolism in tumorigenesis. We emphasize that the interaction between lncRNAs and sphingolipid metabolism influences their impact on both cancer prognosis and drug resistance. These findings suggest that lncRNA-sphingolipid metabolism interaction holds great potential as a newl target for cancer treatment.

Non-coding RNAs in Cancer: Mechanistic insights and therapeutic implications

Non-coding RNAs have gathered significant attention for their unique roles in biological regulation. Across a broad spectrum of developmental processes and diseases, particularly in human malignancies, ncRNAs play pivotal roles in regulatory mechanisms. MicroRNAs, long noncoding RNAs, and small nucleolar RNAs stand out among the diverse forms of ncRNAs that have been implicated in cancer. MiRNAs, classified as short non-coding RNAs, modulate gene expression by binding to messenger RNA molecules, thereby inhibiting their translation. Altered miRNA expression has been associated with the onset and progression of various malignancies, including lung, breast, and prostate cancer. In contrast, lncRNAs, characterized as longer ncRNAs, exert control over gene expression through various mechanisms, such as chromatin remodelling and gene silencing. This review offers a comprehensive examination of the numerous ncRNAs that have emerged as crucial regulators of gene expression, playing implicated roles in the initiation and progression of diverse cancers.

Analysis of four long non-coding RNAs for hepatocellular carcinoma screening and prognosis by the aid of machine learning techniques

Hepatocellular carcinoma (HCC) represents a significant health burden in Egypt, largely attributable to the endemic prevalence of hepatitis B and C viruses. Early identification of HCC remains a challenge due to the lack of widespread screening among at-risk populations. The objective of this study was to assess the utility of machine learning in predicting HCC by analyzing the combined expression of lncRNAs and conventional laboratory biomarkers. Plasma levels of four lncRNAs (LINC00152, LINC00853, UCA1, and GAS5) were quantified in a cohort of 52 HCC patients and 30 age-matched controls. The individual diagnostic performance of each lncRNA was assessed using ROC curve analysis. Subsequently, a machine learning model was constructed using Python's Scikit-learn platform to integrate these lncRNAs with additional clinical laboratory parameters for HCC diagnosis. Individual lncRNAs exhibited moderate diagnostic accuracy, with sensitivity and specificity ranging from 60 to 83% and 53-67%, respectively. In contrast, the machine learning model demonstrated superior performance, achieving 100% sensitivity and 97% specificity. Notably, a higher LINC00152 to GAS5 expression ratio significantly correlated with increased mortality risk. The integration of lncRNA biomarkers with conventional laboratory data within a machine learning framework demonstrates significant potential for developing a precise and cost-effective diagnostic tool for HCC. To enhance the model's robustness and prognostic capabilities, future studies should incorporate larger cohorts and explore a wider array of lncRNAs.

Crispr-Cas9-based long non-coding RNA interference and activation identified that the aberrant expression of Myc-regulated ST8SIA6 antisense RNA 1 promotes tumorigenesis and metastasis in hepatocellular carcinoma

Objective

Long non-coding RNAs (lncRNAs) participate in the formation, progression, and metastasis of cancer. This study aimed to explore the roles of the lncRNA ST8SIA6 antisense RNA 1 (ST8SIA6-AS1) in tumorigenesis and elucidate the underlying molecular mechanism of its upregulation in hepatocellular carcinoma (HCC).

Material and Methods

A total of 56 in-house pairs of HCC tissues were examined, and ST8SIA6-AS1 levels were determined through real-time polymerase chain reaction (PCR). The biological behavior of ST8SIA6-AS1 by Crispr-Cas9-based gene repression and activation was determined in vitro and in vivo. The binding sites and biological behavior of Myc proto-oncogene and forkhead box A on chromatin were investigated through luciferase reporter assays, chromatin immunoprecipitation-quantitative PCR, and co-immunoprecipitation (co-IP) assays. The regulatory mechanisms of ST8SIA6-AS1 expression were analyzed with encyclopedia of DNA elements and gene expression profiling interactive analysis.

Results

The expression of ST8SIA6-AS1 significantly increased in multiple HCC cell lines and the 56 in-house pairs of HCC tissues (P = 0.0018). Functionally, high-efficiency Crispr-Cas9-based knockdown of ST8SIA6-AS1 revealed that ST8SIA6-AS1 knockdown attenuated the proliferation, migration, and infiltration of HCC cells and considerably reduced the growth rate of subcutaneous and orthotopic HCC tumors. Conversely, ST8SIA6-AS1 overexpression considerably improved the oncogenic characteristics of the HCC cells. Furthermore, ST8SIA6-AS1 upregulation was regulated by the direct binding of transcription factor Myc to the -260 bp to+155 bp and +1003 bp to +1312 bp regions of the ST8SIA6-AS1 transcription start site, which is a segment with high level of H3K27 acetylation. Myc knockdown or treatment with the BET bromodomain inhibitor JQ-1 considerably reduced ST8SIA6-AS1 RNA expression in the HCC cells.

Conclusion

Our study has established the oncogenic role of ST8SIA6-AS1 and elucidated the Myc-dependent upregulation mechanism of ST8SIA6-AS1 in HCC, providing a profound theoretical molecular basis for the carcinogenic function of ST8SIA6-AS1 in HCC.

MicroRNAs and RNA-Binding Protein-Based Regulation of Bone Metastasis from Hepatobiliary Cancers and Potential Therapeutic Strategies

Hepatobiliary cancers, such as hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), are among the deadliest malignancies worldwide, leading to a significant number of cancer-related deaths. While bone metastases from these cancers are rare, they are highly aggressive and linked to poor prognosis. This review focuses on RNA-based molecular mechanisms that contribute to bone metastasis from hepatobiliary cancers. Specifically, the role of two key factors, microRNAs (miRNAs) and RNA-binding proteins (RBPs), which have not been extensively studied in the context of HCC and CCA, is discussed. These molecules often exhibit abnormal expression in hepatobiliary tumors, influencing cancer cell spread and metastasis by disrupting bone homeostasis, thereby aiding tumor cell migration and survival in the bone microenvironment. This review also discusses potential therapeutic strategies targeting these RNA-based pathways to reduce bone metastasis and improve patient outcomes. Further research is crucial for developing effective miRNA- and RBP-based diagnostic and prognostic biomarkers and treatments to prevent bone metastases in hepatobiliary cancers.

Exosome-mediated Transfer of lncRNA in Liver Associated Diseases; Uncovered Truths

Exosomes are extracellular vesicles with a diameter ranging from 40 to 160 nm. They are produced by hepatocytes, cholangiocytes, hepatic stellate cells (HSCs), liver sinusoidal endothelial cells (LSECs) and Kupffer cells in liver tissue. The secretion of exosomes might vary in quantity and composition in reaction to multiple triggers and various stages of disease. They transport various payloads, such as proteins, DNAs, and RNAs, and enable cell interaction to regulate myriad physiological and pathological processes in liver tissue. Long non-coding RNAs (lncRNAs) are a crucial component of exosomes with an excellent capability to regulate multiple cellular activities such as differentiation, development, metabolism, proliferation, apoptosis, and activation. With the advancements in transcriptomic and genomic study methods and database management technology, the functions and mechanisms of exosomal lncRNAs in liver diseases have been well-studied. This article delves into the detailed role of exosomal lncRNAs in liver disease onset and progression, ranging from hepatocellular carcinoma (HCC) to liver fibrosis drug-induced liver damage (DILI) and steatotic liver diseases.

Exploring the ceRNA network involving AGAP2-AS1 as a novel biomarker for preeclampsia

Preeclampsia (PE) is an important research subject in obstetrics. Nevertheless, the underlying mechanisms of PE remain elusive. PE-related expression datasets (GSE96983, GSE96984 and GSE24129) were downloaded from the Gene Expression Omnibus (GEO) database. Firstly, the differentially expressed messenger RNAs (DE-mRNAs), DE-microRNA (DE-miRNAs) and DE-long non-coding RNA (DE-lncRNAs) between PE and control cohorts were identified, and the ceRNA network was constructed. Then candidate hub genes were obtained through five algorithms by the protein-protein intersection (PPI) network of the mRNAs. Further, five hub genes were identified by receiver operating characteristic (ROC) curve and gene expression profiles: DAXX, EFNB1, NCOR2, RBBP4 and SOCS1. The function of 5 hub genes was analyzed and the interaction between drugs and hub genes was predicted. A total of 5 small molecule drugs were predicted, namely benzbromarone, 9,10-phenanthrenequinone, chembl312032, insulin and aldesleukin. AGAP2-AS1 was mainly located in exosome and cytoplasm. Agap2-as1-related regulatory subnetworks were extracted from ceRNA networks which included 41 mRNAs, 2 miRNAs and 1 lncRNA, including the regulated relationship pairs AGAP2-AS1-hsa-miR-497-5p-SRPRB, and AGAP2-AS1-hsa-miR-195-5p-RPL36. In summary, we constructed a competitive endogenous RNA (ceRNA) network to identify five potential biomarkers (DAXX, EFNB1, NCOR2, SOCS1 and RBBP4) of PE. The in-depth analysis of the AGAP2-AS1 regulatory network will help to uncover more important molecules closely related to PE and provide a scientific Reference.

Exploration on the construction of a bladder cancer prognostic model based on disulfidptosis-related lncRNAs and its clinical significance

Disulfidptosis is a novel programmed cell death mode that has been reported to play a role in oncogenesis. Increasing evidences suggest that the long non-coding RNAs (lncRNAs) play crucial roles in the initiation and progression of bladder cancer (BLCA). However, the role and prognostic value of disulfidptosis-related lncRNAs in BLCA remain unknown.The aim of this study was to construct and validate a disulfidptosis-related lncRNA risk model for predicting the prognosis of BLCA patients. A risk model consisting of 5 disulfidptosis-related lncRNAs was developed to predict the prognosis of BLCA patients. The overall survival (OS) of BLCA patients in the high-risk group was significantly shorter than that in the low-risk group (P < 0.05). The effectiveness of this model was validated using the receiver operating characteristic (ROC) curve analysis, and this model proved superior in prognostic accuracy compared with other clinical features. Furthermore, the tumor immune dysfunction and exclusion (TIDE) score in the high-risk group was significantly higher than that in the low-risk group, suggesting that the high-risk group had a less favorable response to immunotherapy. Simultaneously, patients in the low-risk group exhibited significantly higher sensitivity to CTLA-4 monoclonal antibody therapy compared to those in the high-risk group, suggesting potential benefits of immunotherapy for patients in the low-risk group. The combination of high risk and low tumor mutational burden (TMB) could further shortened the OS of BLCA patients. Lastly, the drug sensitivity analysis revealed that the BLCA cells in the high-risk group showed an increased sensitivity to cisplatin, sunitinib, cetuximab, axitinib, docetaxel, saracatinib, vinblastine and pazopanib compared with those in the low-risk group. According to the Quantitative real time PCR results, we found that five lncRNAs of the risk model were more highly expressed in BCa cell lines than human immortalized uroepithelial cell line. The disulfidptosis-related lncRNA risk model has a valuable effect in assessing the prognosis of BLCA patients.

Deciphering the nexus between long non-coding RNAs and endoplasmic reticulum stress in hepatocellular carcinoma: biomarker discovery and therapeutic horizons

Hepatocellular carcinoma (HCC) remains a significant global health challenge with few effective treatment options. The dysregulation of endoplasmic reticulum (ER) stress responses has emerged as a pivotal factor in HCC progression and therapy resistance. Long non-coding RNAs (lncRNAs) play a crucial role as key epigenetic modifiers in this process. Recent research has explored how lncRNAs influence ER stress which in turn affects lncRNAs activity in HCC. We systematically analyze the current literature to highlight the regulatory roles of lncRNAs in modulating ER stress and vice versa in HCC. Our scrutinization highlights how dysregulated lncRNAs contribute to various facets of HCC, including apoptosis resistance, enhanced proliferation, invasion, and metastasis, all driven by ER stress. Moreover, we delve into the emerging paradigm of the lncRNA-miRNA-mRNA axis, elucidating it as the promising avenue for developing novel biomarkers and paving the way for more personalized treatment options in HCC. Nevertheless, we acknowledge the challenges and future directions in translating these insights into clinical practice. In conclusion, our review provides insights into the complex regulatory mechanisms governing ER stress modulation by lncRNAs in HCC.

Integrating molecular, biochemical, and immunohistochemical features as predictors of hepatocellular carcinoma drug response using machine-learning algorithms

Introduction

Liver cancer, particularly Hepatocellular carcinoma (HCC), remains a significant global health concern due to its high prevalence and heterogeneous nature. Despite the existence of approved drugs for HCC treatment, the scarcity of predictive biomarkers limits their effective utilization. Integrating diverse data types to revolutionize drug response prediction, ultimately enabling personalized HCC management.

Method

In this study, we developed multiple supervised machine learning models to predict treatment response. These models utilized classifiers such as logistic regression (LR), k-nearest neighbors (kNN), neural networks (NN), support vector machines (SVM), and random forests (RF) using a comprehensive set of molecular, biochemical, and immunohistochemical features as targets of three drugs: Pantoprazole, Cyanidin 3-glycoside (Cyan), and Hesperidin. A set of performance metrics for the complete and reduced models were reported including accuracy, precision, recall (sensitivity), specificity, and the Matthews Correlation Coefficient (MCC).

Results and Discussion

Notably, (NN) achieved the best prediction accuracy where the combined model using molecular and biochemical features exhibited exceptional predictive power, achieving solid accuracy of 0.9693 ∓ 0.0105 and average area under the ROC curve (AUC) of 0.94 ∓ 0.06 coming from three cross-validation iterations. Also, found seven molecular features, seven biochemical features, and one immunohistochemistry feature as promising biomarkers of treatment response. This comprehensive method has the potential to significantly advance personalized HCC therapy by allowing for more precise drug response estimation and assisting in the identification of effective treatment strategies.

Exploration of the role of EMC3‑AS1 as a potential diagnostic and prognostic indicator in liver cancer

The aim of the present study was to evaluate the diagnostic and prognostic significance of the long non-coding RNA (lncRNA) endoplasmic reticulum membrane protein complex subunit 3 antisense RNA 1 (EMC3-AS1) in liver cancer, and its impact on the proliferative and invasive capabilities of liver cancer cells. EMC3-AS1 expression in liver cancer was assessed using data from The Cancer Genome Atlas and three Gene Expression Omnibus datasets, and validated in clinical liver cancer samples using reverse transcription-quantitative PCR. The prognostic and diagnostic potentials of this lncRNA were evaluated using Kaplan-Meier and receiver operating characteristic analyses, respectively. The infiltration of immune cells and differential expression of immune checkpoints (ICs) between high- and low-EMC3-AS1 expression groups were investigated. Therapeutic correlation analyses were also undertaken to assess the impact of EMC3-AS1 in the treatment of liver cancer. In addition, in vitro experiments were conducted using small interfering RNA to knock down the expression of EMC3-AS1 in HepG2, Sk-Hep-1 and Huh-7 cells, and evaluate the effect on cell proliferation, colony formation and migration. The results revealed a significant upregulation of EMC3-AS1 expression in liver cancer tissues compared with that in adjacent normal tissues, which was associated with an unfavorable prognosis and demonstrated diagnostic effectiveness for patients with liver cancer. Furthermore, patients with high EMC3-AS1 expression exhibited increased levels of IC markers in comparison with those with low EMC3-AS1 expression. In addition, EMC3-AS1 was indicated to have clinical significance in the prediction of the response to immunotherapy and chemotherapy. Notably, the in vitro experiments demonstrated that the knockdown of EMC3-AS1 significantly hindered cell proliferation, colony formation and migration. Consequently, it was concluded that EMC3-AS1 is upregulated in liver cancer and serves as a prognostic indicator for unfavorable outcomes in patients with liver cancer. Additionally, targeting EMC3-AS1 through knockdown interventions showed potential in mitigating the ability of liver cancer cells to proliferate and migrate, which highlights its dual role as a biomarker and therapeutic target for liver cancer.

LncRNA495810 Promotes Proliferation and Migration of Hepatocellular Carcinoma Cells by Interacting with FABP5

Hepatocellular carcinoma (HCC) is one of the malignant tumors with high morbidity and mortality. Long non-coding RNAs (lncRNAs) are frequently dysregulated in human cancers and play an important role in the initiation and progression of HCC. Here, we investigated the expression of a new reported lncRNA495810 in our previous study by analyzing the publicly available datasets and using RT-qPCR assay. The cell proliferation experiment, cell cycle and apoptosis assay, wound healing assay, cell migration assay were used to explore the biological function of lncRNA495810 in HCC. The western blot, RNA pull down and RNA immunoprecipitation (RIP) detection were used to investigate the potential molecular mechanisms of lncRNA495810. The results demonstrated that lncRNA495810 was significantly upregulated in hepatocellular carcinoma and associated with poor prognosis of hepatocellular carcinoma patients. Moreover, it proved that lncRNA495810 promotes the proliferation and metastasis of hepatoma cells by directly binding and upregulating the expression of fatty acid-binding protein 5. These results reveal the oncogenic roles of lncRNA495810 in HCC and provide a potential therapeutic target for HCC.

ST8SIA6-AS1, a novel lncRNA star in liver cancer

Liver cancer is one of the most lethal gastrointestinal malignancies. Emerging evidence has underscored the pivotal role of long non-coding RNAs (lncRNAs) in tumorigenesis, with ST8SIA6-AS1 identified as a novel oncogenic lncRNA contributing to liver cancer progression. ST8SIA6-AS1 is consistently upregulated in hepatic cancer tissues and is strongly associated with unfavorable prognosis. Moreover, it demonstrates high diagnostic efficacy in detecting HCC. ST8SIA6-AS1 is involved in various cellular processes including proliferation, migration, and invasion, primarily through its function as a competing endogenous RNA (ceRNA), thereby facilitating hepatocarcinogenesis and disease advancement. This review provides a detailed examination of the molecular functions and regulatory mechanisms of ST8SIA6-AS1 in hepatocellular carcinoma (HCC) and highlights its potential as a promising biomarker for liver cancer, aiming to propel the development of innovative therapeutic strategies for HCC management.

LINC01370 suppresses hepatocellular carcinoma proliferation and metastasis by regulating the PI3K/AKT pathway

BACKGROUND

Hepatocellular carcinoma (HCC) poses a serious threat to human health worldwide. lncRNA dysregulation is frequently observed in various cancers, including HCC. However, the function of LINC01370 in HCC progression and its underlying mechanisms remain unclear.

METHODS

LINC01370 expression in HCC tissues with cells was analyzed by applying the GEO and GEPIA databases and qRT-PCR. CCK-8 and Transwell assays were used to assess HCC cell proliferation, migration, and invasion. The PI3K, AKT, with p-AKT protein expression were analyzed by western blotting.

RESULTS

Gene Expression Omnibus (GEO) and Gene Expression Profiling Interactive Analysis (GEPIA) showed that LINC01370 expression was significantly lower in HCC tissues than in normal tissues. LINC01370 overexpression markedly repressed HepG2 SMMC-7721 cells proliferation, migration, and invasion. To understand the downstream mechanism of LINC01370 regulation, we further analyzed the genes co-expressed with LINC01370 in GSE136247 and GSE132037 and then performed KEGG analysis. The PA pathway was found to be a downstream pathway regulated by LINC01370 in GSE136247 and GSE132037 via gene co-expression and KEGG analysis. Furthermore, PI3K and p-AKT protein levels decreased after LINC01370 overexpression. Importantly, rescue experiments showed that activation of the PI3K/AKT pathway disrupted the repressive effect of LINC01370 overexpression on the proliferation, migration, and invasion of HepG2 of SMMC-7721 cells.

CONCLUSIONS

This study verified that LINC01370 suppresses HCC proliferation with metastasis by regulating the PI3K/AKT pathway.

Current updates on the molecular and genetic signals as diagnostic and therapeutic targets for hepatitis B virus-associated hepatic malignancy

Liver cancer caused by the hepatitis B virus (HBV) is the third most common cancer-related cause of death worldwide. Early detection of HBV-caused hepatic tumors increases the likelihood of a successful cure. Molecular and genetic signals are becoming more and more recognized as possible indicators of HBV-associated hepatic malignancy and of how well a treatment is working. As a result, we have discussed the current literature on molecular and genetic sensors, including extracellular vesicle microRNAs (EV-miRNAs), long non-coding circulating RNAs (lncRNAs), extracellular vesicles (EVs), and cell free circulating DNA (cfDNA), for the diagnosis and forecasting of HBV-related hepatic cancer. Extracellular vesicle microRNAs such as miR-335-5p, miR-172-5p, miR-1285-5p, miR-497-5p, miR-636, miR-187-5p, miR-223-3p, miR-21, miR-324-3p, miR-210-3p, miR-718, miR-122, miR-522, miR-0308-3p, and miR-375 are essential for the posttranscriptional regulation of oncogenes in hepatic cells as well as the epigenetic modulation of many internal and external signaling pathways in HBV-induced hepatic carcinogenesis. LncRNAs like lnc01977, HULC (highly up-regulated in liver cancer), MALAT1 (metastasis-associated lung adenocarcinoma transcript 1), and HOTAIR (hox transcript antisense intergenic RNA) have been demonstrated to control hepatic-tumors cell growth, relocation, encroachment, and cell death resiliency. They are also becoming more and more involved in immune tracking, hepatic shifting, vasculature oversight, and genomic destabilization. EVs are critical mediators involved in multiple aspects of liver-tumors like angiogenesis, immunology, tumor formation, and the dissemination of malignant hepatocytes. Furthermore, cfDNA contributes to signals associated with tumors, including mutations and abnormal epigenetic changes during HBV-related hepatic tumorigenesis.

The comprehensive roles of lncRNA FAM99A/FAM99B in hepatocellular carcinoma: Expressions, regulatory mechanisms and functional pathway analysis

AIMS

The incidence and mortality of liver hepatocellular carcinoma (LIHC) were increasing year by year. The aim of this study was to investigate the comprehensive roles of lncRNA FAM99A and FAM99B in LIHC.

MAIN METHODS

According to the data of TCGA and GTEx, the expression levels of FAM99A and FAM99B in LIHC were evaluated, and the overall survival (OS), disease-free survival (DFS), immune cell infiltration and tumor stage were analyzed. The subcellular localization of FAM99A and FAM99B in various cancer cell lines was predicted by lncATLAS database. In addition, we also used ENCORI, KEGG, LinkedOmics, Metascape and other databases. It was verified by in vivo and in vitro experiments.

KEY FINDINGS

Compared with adjacent normal tissues, FAM99A and FAM99B were down-regulated in LIHC tissues, and significantly correlated with immune cell infiltration. With the progression of tumor stage and grade, the expression of FAM99A and FAM99B showed a decreasing trend, and the prognosis of patients were also poor. In addition, the biological functions, signaling pathways and protein interactions of FAM99A and FAM99B in LIHC were enriched to study the potential molecular mechanisms. The overlapping RNA binding proteins (RBP) of FAM99A and FAM99B mainly included CSTF2T, BCCIP, RBFOX2 and SF3B4. Finally, experiments showed that overexpression of FAM99A attenuated the proliferation, invasion, colony formation and tumor growth of LIHC cells.

SIGNIFICANCE

Taken together, the above studies demonstrated that FAM99A and FAM99B had an inhibitory effect on the progression of LIHC, which might be promising diagnostic biomarkers and therapeutic targets for LIHC patients.

New HCC Subtypes Based on CD8 Tex-Related lncRNA Signature Could Predict Prognosis, Immunological and Drug Sensitivity Characteristics of Hepatocellular Carcinoma

Purpose

Hepatocellular carcinoma has become one of the severe diseases threatening human health. T cell exhaustion is deemed as a reason for immunotherapy resistance. However, little is known about the roles of CD8 Tex-related lncRNAs in HCC.

Materials and Methods

We processed single-cell RNA sequencing to identify CD8 Tex-related genes. CD8 Tex-related lncRNAs were identified based on their correlations with mRNAs. Unsupervised clustering approach was used to identify molecular clusters of CD8 Tex-related lncRNAs. Differences in prognosis and immune infiltration between the clusters were explored. Machine learning algorithms were used to construct a prognostic signature. Samples were classified as low- and high-risk groups based on their risk scores. We identified prognosis-related lncRNAs and constructed a ceRNA network. In vitro experiments were conducted to investigate the impacts of CD8 Tex-related lncRNAs on proliferation and apoptosis of HCC cells.

Results

We clarified cell types within two HCC single-cell datasets. We identified specific markers of CD8 Tex cells and analyzed their potential functions. Twenty-eight lncRNAs were identified as CD8 Tex-related. Based on CD8 Tex-related lncRNAs, samples were categorized into two distinct clusters, which exhibited significant differences in survival rates and immune infiltration. Ninety-six algorithm combinations were employed to establish a prognostic signature. RSF emerged as the one with the highest C-index. Patients in high- and low-risk groups exhibited marked differences in prognosis, enriched pathways, mutations and drug sensitivities. MCM3AP-AS1, MAPKAPK5-AS1 and PART1 were regarded as prognosis-related lncRNAs. A ceRNA network was constructed based on CD8 Tex-related lncRNAs and mRNAs. Experiments on cell lines and organoids indicated that downregulation of MCM3AP-AS1, MAPKAPK5-AS1 and PART1 suppressed cell proliferation and induced apoptosis.

Conclusion

CD8 Tex-related lncRNAs played crucial roles in HCC progression. Our findings provided new insights into the regulatory mechanisms of CD8 Tex-related lncRNAs in HCC.

The multifaceted perspectives on the regulation of lncRNAs in hepatocellular carcinoma ferroptosis: from bench-to-bedside

Despite being characterized by high malignancy, high morbidity, and low survival rates, the underlying mechanism of hepatocellular carcinoma (HCC) has not been fully elucidated. Ferroptosis, a non-apoptotic form of regulated cell death, possesses distinct morphological, biochemical, and genetic characteristics compared to other types of cell death. Dysregulated actions within the molecular network that regulates ferroptosis have been identified as significant contributors to the progression of HCC. Long non-coding RNAs (lncRNAs) have emerged as influential contributors to diverse cellular processes, regulating gene function and expression through multiple mechanistic pathways. An increasing body of evidence indicates that deregulated lncRNAs are implicated in regulating malignant events such as cell proliferation, growth, invasion, and metabolism by influencing ferroptosis in HCC. Therefore, elucidating the inherent role of ferroptosis and the modulatory functions of lncRNAs on ferroptosis in HCC might promote the development of novel therapeutic interventions for this disease. This review provides a succinct overview of the roles of ferroptosis and ferroptosis-related lncRNAs in HCC progression and treatment, aiming to drive the development of promising therapeutic targets and biomarkers for HCC patients.

A Novel lncRNA lncRNA-4045 Promotes the Progression of Hepatocellular Carcinoma by Affecting the Expression of AKR1B10

BACKGROUND

Long noncoding RNAs (lncRNAs) have been shown to be related to the occurrence and development of a variety of cancers including hepatocellular carcinoma (HCC). However, a large number of potential HCC-related lncRNAs remain undiscovered and are yet to be fully understood.

METHODS

Differentially expressed lncRNAs were first obtained from the tumor tissues and adjacent normal tissues of five HCC patients using high-throughput microarray chips. Then the expression levels of 10 differentially expressed lncRNAs were verified in 50 pairs of tissue samples from patients with HCC by quantitative real-time PCR (qRT-PCR). The oncogenic effects of lncRNA-4045 (ENST00000524045.6) in HCC cell lines were verified through a series of in vitro experiments including CCK-8 assay, plate clone formation assay, transwell assay, scratch assay, and flow cytometry. Subsequently, the potential target genes of lncRNA-4045 were predicted by bioinformatics analysis, fluorescence in situ hybridization assay, and RNA sequencing. The mechanism of lncRNA-4045 in HCC was explored by WB assay as well as rescue and enhancement experiments.

RESULTS

The results from microarray chips showed 1,708 lncRNAs to have been significantly upregulated and 2725 lncRNAs to have been significantly downregulated in HCC tissues. Via validation in 50 HCC patients, a novel lncRNA lncRNA-4045 was found significantly upregulated in HCC tissues. Additionally, a series of in vitro experiments showed that lncRNA-4045 promoted the proliferation, invasion, and migration of HCC cell lines, and inhibited the apoptosis of HCC cell lines. The results of qRT-PCR in HCC tissues showed that the expression levels of AKR1B10 were significantly positively correlated with lncRNA-4045. LncRNA-4045 knockdown significantly down-regulated AKR1B10 protein expression, and overexpression of lncRNA-4045 led to significant up-regulation of AKR1B10 protein in HCC cell lines. Lastly, down-regulation of AKR1B10 could partially eliminate the enhancement of cell proliferation induced by lncRNA-4045 overexpression, while up-regulation of AKR1B10 was shown to enhance those effects.

CONCLUSION

LncRNA-4045 may promote HCC via enhancement of the expression of AKR1B10 protein.

Long noncoding RNA SNHG3 interacts with microRNA-502-3p to mediate ITGA6 expression in liver hepatocellular carcinoma

SNHG3, a long noncoding RNA (lncRNA), has been linked to poor outcomes in patients with liver hepatocellular carcinoma (LIHC). In this study, we found that SNHG3 was overexpressed in LIHC and associated with poor outcomes in patients with LIHC. Functional assays, including colony formation, spheroid formation, and in vivo assays showed that SNHG3 promoted stemness of cancer stem cells (CSC) and tumor growth in vivo by interacting with microRNA-502-3p (miR-502-3p). miR-502-3p inhibitor repressed the tumor-suppressing effects of SNHG3 depletion. Finally, by RNA pull-down, dual-luciferase reporter assay, m6A methylation level detection, and m6A-IP-qPCR assays, we found that miR-502-3p targeted YTHDF3 to regulate the translation of integrin alpha-6 (ITGA6) and targeted HBXIP to inhibit the m6A modification of ITGA6 through methyltransferase-like 3 (METTL3). Our study revealed that SNHG3 controls the YTHDF3/ITGA6 and HBXIP/METTL3/ITGA6 pathways by repressing miR-502-3p expression to sustain the self-renewal properties of CSC in LIHC.

Alterations in serum metabolic profiles of early-stage hepatocellular carcinoma patients after radiofrequency ablation therapy

OBJECTIVE

To investigate the alterations in serum metabolic profiles and early-stage hepatocellular carcinoma (HCC) patient characteristics after radiofrequency ablation (RFA) therapy. This evaluation aimed to assess treatment effectiveness and identify potential novel approaches and targets for HCC treatment and prognosis monitoring.

METHODS

Untargeted metabolomics technology was employed to analyze serum metabolic profiles in healthy volunteer controls (NCs) and early stage HCC patients before and after RFA therapy. Additionally, Human Metabolome Database and Kyoto Encyclopedia of Genes and Genomes database were used to identify the differential metabolites (DMs) and metabolic pathways. Cystoscape was utilized to construct DM gene networks. Amino acid analyses were performed to validate our findings.

RESULTS

We identified 11, 14, and six DMs between the NC and HCC groups, HCC patients before and after RFA therapy, and post-RFA HCC and NC groups, respectively. The expression levels of these DMs, particularly those of amino acids and lipids, significantly changed. Compared with the NC group, higher levels of L-tyrosine, aspartate, and 18-oxo-oleate were observed in HCC patients, which were significantly reduced in patients after RFA therapy. Meanwhile, HCC patients after RFA therapy had increased levels of L-arginine, phosphatidic acid (20:3), and lysophosphatidyl choline (LPC) (20:4) compared to those before therapy, while their levels before therapy were lower than those of NC. Moreover, most metabolites in the post-RFA and NC groups showed no significant changes in expression, except for L-tyrosine and LPC (16:0). These metabolites could potentially serve as characteristic factors of early-stage HCC patients after RFA therapy. Joint pathway analysis revealed striking changes, mainly in phenylalanine, tyrosine, and tryptophan biosynthesis; alanine, aspartate, and glutamate metabolism; and arginine and aminoacyl-tRNA biosynthesis. Bioinformatics analysis of publicly available data preliminarily identified 187 DM-related metabolic enzymes.

CONCLUSION

Our study proposed novel targets for early-stage HCC treatment, laying the groundwork for improving treatment efficacy and prognosis of early-stage HCC patients.

LINC08148 promotes the caveola-mediated endocytosis of Zika virus through upregulating transcription of Src

Long non-coding RNAs (lncRNAs) represent a new group of host factors involved in viral infection. Current study identified an intergenic lncRNA, LINC08148, as a proviral factor of Zika virus (ZIKV) and Dengue virus 2 (DENV2). Knockout (KO) or silencing of LINC08148 decreases the replication of ZIKV and DENV2. LINC08148 mainly acts at the endocytosis step of ZIKV but at a later stage of DENV2. RNA-seq analysis reveals that LINC08148 knockout downregulates the transcription levels of five endocytosis-related genes including AP2B1, CHMP4C, DNM1, FCHO1, and Src. Among them, loss of Src significantly decreases the uptake of ZIKV. Trans-complementation of Src in the LINC08148KO cells largely restores the caveola-mediated endocytosis of ZIKV, indicating that the proviral effect of LINC08148 is exerted through Src. Finally, LINC08148 upregulates the Src transcription through associating with its transcription factor SP1. This work establishes an essential role of LINC08148 in the ZIKV entry, underscoring a significance of lncRNAs in the viral infection.

IMPORTANCE

Long non-coding RNAs (lncRNAs), like proteins, participate in viral infection. However, functions of most lncRNAs remain unknown. In this study, we performed a functional screen based on microarray data and identified a new proviral lncRNA, LINC08148. Then, we uncovered that LINC08148 is involved in the caveola-mediated endocytosis of ZIKV, rather than the classical clathrin-mediated endocytosis. Mechanistically, LINC08148 upregulates the transcription of Src, an initiator of caveola-mediated endocytosis, through binding to its transcription factor SP1. This study identifies a new lncRNA involved in the ZIKV infection, suggesting lncRNAs and cellular proteins are closely linked and cooperate to regulate viral infection.

Classification of Long Non-Coding RNAs s Between Early and Late Stage of Liver Cancers From Non-coding RNA Profiles Using Machine-Learning Approach

Long non-coding RNAs (lncRNAs), which are RNA sequences greater than 200 nucleotides in length, play a crucial role in regulating gene expression and biological processes associated with cancer development and progression. Liver cancer is a major cause of cancer-related mortality worldwide, notably in Thailand. Although machine learning has been extensively used in analyzing RNA-sequencing data for advanced knowledge, the identification of potential lncRNA biomarkers for cancer, particularly focusing on lncRNAs as molecular biomarkers in liver cancer, remains comparatively limited. In this study, our objective was to identify candidate lncRNAs in liver cancer. We employed an expression data set of lncRNAs from patients with liver cancer, which comprised 40 699 lncRNAs sourced from The CancerLivER database. Various feature selection methods and machine-learning approaches were used to identify these candidate lncRNAs. The results showed that the random forest algorithm could predict lncRNAs using features extracted from the database, which achieved an area under the curve (AUC) of 0.840 for classifying lncRNAs between early (stage 1) and late stages (stages 2, 3, and 4) of liver cancer. Five of 23 significant lncRNAs (WAC-AS1, MAPKAPK5-AS1, ARRDC1-AS1, AC133528.2, and RP11-1094M14.11) were differentially expressed between early and late stage of liver cancer. Based on the Gene Expression Profiling Interactive Analysis (GEPIA) database, higher expression of WAC-AS1, MAPKAPK5-AS1, and ARRDC1-AS1 was associated with shorter overall survival. In conclusion, the classification model could predict the early and late stages of liver cancer using the signature expression of lncRNA genes. The identified lncRNAs might be used as early diagnostic and prognostic biomarkers for patients with liver cancer.

ANXA5: A Key Regulator of Immune Cell Infiltration in Hepatocellular Carcinoma

BACKGROUND Hepatocellular carcinoma (HCC) poses a significant threat to human life and is the most prevalent form of liver cancer. The intricate interplay between apoptosis, a common form of programmed cell death, and its role in immune regulation stands as a crucial mechanism influencing tumor metastasis. MATERIAL AND METHODS Utilizing HCC samples from the TCGA database and 61 anoikis-related genes (ARGs) sourced from GeneCards, we analyzed the relationship between ARGs and immune cell infiltration in HCC. Subsequently, we identified long non-coding RNAs (lncRNAs) associated with ARGs, using the least absolute shrinkage and selection operator (LASSO) regression analysis to construct a robust prognostic model. The predictive capabilities of the model were then validated through examination in a single-cell dataset. RESULTS Our constructed prognostic model, derived from lncRNAs linked to ARGs, comprised 11 significant lncRNAs: NRAV, MCM3AP-AS1, OTUD6B-AS1, AC026356.1, AC009133.1, DDX11-AS1, AC108463.2, MIR4435-2HG, WARS2-AS1, LINC01094, and HCG18. The risk score assigned to HCC samples demonstrated associations with immune indicators and the infiltration of immune cells. Further, we identified Annexin A5 (ANXA5) as the pivotal gene among ARGs, with it exerting a prominent role in regulating the lncRNA gene signature. Our validation in a single-cell database elucidated the involvement of ANXA5 in immune cell infiltration, specifically in the regulation of mononuclear cells. CONCLUSIONS This study delves into the intricate correlation between ARGs and immune cell infiltration in HCC, culminating in the development of a novel prognostic model reliant on 11 ARGs-associated lncRNAs. Furthermore, our findings highlight ANXA5 as a promising target for immune regulation in HCC, offering new perspectives for immune therapy in the context of HCC.

Molecular insights into regulatory RNAs in the cellular machinery

It is apparent that various functional units within the cellular machinery are derived from RNAs. The evolution of sequencing techniques has resulted in significant insights into approaches for transcriptome studies. Organisms utilize RNA to govern cellular systems, and a heterogeneous class of RNAs is involved in regulatory functions. In particular, regulatory RNAs are increasingly recognized to participate in intricately functioning machinery across almost all levels of biological systems. These systems include those mediating chromatin arrangement, transcription, suborganelle stabilization, and posttranscriptional modifications. Any class of RNA exhibiting regulatory activity can be termed a class of regulatory RNA and is typically represented by noncoding RNAs, which constitute a substantial portion of the genome. These RNAs function based on the principle of structural changes through cis and/or trans regulation to facilitate mutual RNA‒RNA, RNA‒DNA, and RNA‒protein interactions. It has not been clearly elucidated whether regulatory RNAs identified through deep sequencing actually function in the anticipated mechanisms. This review addresses the dominant properties of regulatory RNAs at various layers of the cellular machinery and covers regulatory activities, structural dynamics, modifications, associated molecules, and further challenges related to therapeutics and deep learning.