Long noncoding RNAs as biomarkers for the diagnosis of hepatocellular carcinoma: A meta-analysis

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.

Novel Biomarkers for Early Detection of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality globally. Most patients present with late diagnosis, leading to poor prognosis. This narrative review explores novel biomarkers for early HCC detection. We conducted a comprehensive literature review analyzing protein, circulating nucleic acid, metabolite, and quantitative proteomics-based biomarkers, evaluating the advantages and limitations of each approach. While established markers like alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin, and AFP-L3 remain relevant, promising candidates include circulating tumor DNA, microRNAs, long noncoding RNAs, extracellular vesicle, and metabolomic biomarkers. Multi-biomarker panels like the GALAD score, Oncoguard, and Helio liver test show promise for improved diagnostic accuracy. Non-invasive approaches like urine and gut microbiome analysis are also emerging possibilities. Integrating these novel biomarkers with current screening protocols holds significant potential for earlier HCC detection and improved patient outcomes. Future research should explore multi-biomarker panels, omics technologies, and artificial intelligence to further enhance early HCC diagnosis and management.

CREB3 facilitates Donafenib resistance in hepatocellular carcinoma cells via the LSD1/CoREST/p65 axis by transcriptionally activating long noncoding RNA ZFAS1

OBJECTIVE

Drug resistance greatly limits the therapeutic effect of a drug. This study aimed to explore the role of long noncoding RNA ZFAS1 in Donafenib resistance of hepatocellular carcinoma (HCC) cells.

METHODS

The expression of CREB3, ZFAS1, and p65 in HCC cell lines was measured by RT-qPCR and western blotting. After transfection with sh-ZFAS1, sh-CREB3, or sh-CREB3 + oe-p65 in Donafenib-resistent (DR) HCC cell lines, the transfection efficiency was evaluated by RT-qPCR and western blotting. The proliferation and IC50 to Donafenib of HCC cell lines was examined by MTT assay. Cell proliferation and apoptosis were examined by colony formation and flow cytometry assays. Then, the correlation amongst CREB3, ZFAS1, LSD1/CoREST, and p65 was analysed by ChIP, dual-luciferase reporter gene, and RIP assays.

RESULTS

ZFAS1, CREB3, and p65 were upregulated in HepG2-DR and Huh7-DR cells. Silencing of ZFAS1 or CREB3 enhanced the sensitivity of HCC cells to Donafenib, inhibited cell proliferation and IC50, and increased cell apoptosis, which were reversed by p65 overexpression. Mechanistically, CREB3 bound to ZFAS1 promoter to augment ZFAS1 transcriptional expression, and ZFAS1 recruited LSD1/CoREST to the p65 promoter region to decrease H3K4 methylation and elevate p65 transcriptional expression.

CONCLUSION

CREB3 overexpression contributed to Donafenib resistance in HCC cells by activating the ZFAS1/p65 axis.

Long noncoding RNAs and circular RNAs as potential diagnostic biomarkers of inflammatory bowel diseases: a systematic review and meta-analysis

Introduction

Inflammatory bowel disease (IBD) poses a growing global burden, necessitating the discovery of reliable biomarkers for early diagnosis. The clinical significance of dysregulated expression of long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) in diagnosing IBD has not been well established. Thus, our study aimed to investigate the diagnostic value of lncRNAs and circRNAs for IBD based on currently available studies.

Methods

A comprehensive search was carried out in diverse electronic databases, such as PubMed, Embase, Scopus, Science Direct and Wiley Online Library to retrieve articles published until October 30, 2023. Stata 17.0 software was employed to determine pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic ratio (DOR), and area under the curve (AUC). Heterogeneity, subgroup analysis, and meta-regression were explored, and publication bias was assessed using Deeks' funnel plot. Fagan's nomogram and likelihood ratio scattergram were employed to evaluate the clinical validity.

Result

A total of 11 articles encompassing 21 studies which involved 1239 IBD patients and 985 healthy controls were investigated. The findings revealed lncRNAs exhibit high level of pooled sensitivity 0.94 (95% CI: 0.87-0.97) and specificity 0.99 (95% CI: 0.89-1.00), along with PLR, NLR, DOR, and AUC values of 64.25 (95% CI: 7.39-558.66), 0.06 (95% CI: 0.03-0.13), 1055.25 (95% CI: 70.61-15770.77), and 0.99 (95% CI: 0.97-0.99), respectively. Conversely, CircRNAs showed moderate accuracy in IBD diagnosis, with sensitivity of 0.68 (95% CI: 0.61-0.73), specificity of 0.73 (95% CI: 0.65-0.79), PLR of 2.47 (95% CI: 1.94-3.16), NLR of 0.45 (95% CI: 0.38-0.53), DOR of 5.54 (95% CI: 3.88-7.93), and AUC value of 0.75 (95% CI: 0.71-0.79). Moreover, findings from subgroup analysis depicted heightened diagnostic efficacy when employing lncRNA H19 and a large sample size (≥100), with notable efficacy in diagnosing both ulcerative colitis (UC) and Crohn's disease (CD).

Conclusion

LncRNAs exhibit high diagnostic accuracy in distinguishing patients with IBD from healthy controls signifying their possible use as potential biomarkers, while circRNAs showed moderate diagnostic accuracy. Nevertheless, to validate our findings and confirm the clinical utility of lncRNAs and circRNAs in IBD diagnosis, a large pool of prospective and multi-center studies should be undertaken.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO, identifier CRD42023491840.

Differentially expressed non-coding RNAs and their regulatory networks in liver cancer

The vast majority of human transcriptome is represented by various types of small RNAs with little or no protein-coding capability referred to as non-coding RNAs (ncRNAs). Functional ncRNAs include microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), which are expressed at very low, but stable and reproducible levels in a variety of cell types. ncRNAs regulate gene expression due to miRNA capability of complementary base pairing with mRNAs, whereas lncRNAs and circRNAs can sponge miRNAs off their target mRNAs to act as competitive endogenous RNAs (ceRNAs). Each miRNA can target multiple mRNAs and a single mRNA can interact with several miRNAs, thereby creating miRNA-mRNA, lncRNA-miRNA-mRNA, and circRNA-miRNA-mRNA regulatory networks. Over the past few years, a variety of differentially expressed miRNAs, lncRNAs, and circRNAs (DEMs, DELs, and DECs, respectively) have been linked to cancer pathogenesis. They can exert both oncogenic and tumor suppressor roles. In this review, we discuss the recent advancements in uncovering the roles of DEMs, DELs, and DECs and their networks in aberrant cell signaling, cell cycle, transcription, angiogenesis, and apoptosis, as well as tumor microenvironment remodeling and metabolic reprogramming during hepatocarcinogenesis. We highlight the potential and challenges in the use of differentially expressed ncRNAs as biomarkers for liver cancer diagnosis and prognosis.

HCC biomarkers - state of the old and outlook to future promising biomarkers and their potential in everyday clinical practice

Hepatocellular carcinoma (HCC) is one of the most common and deadly tumors worldwide. Management of HCC depends on reliable biomarkers for screening, diagnosis, and monitoring of the disease, as well as predicting response towards therapy and safety. To date, imaging has been the established standard technique in the diagnosis and follow-up of HCC. However, imaging techniques have their limitations, especially in the early detection of HCC. Therefore, there is an urgent need for reliable, non/minimal invasive biomarkers. To date, alpha-fetoprotein (AFP) is the only serum biomarker used in clinical practice for the management of HCC. However, AFP is of relatively rather low quality in terms of specificity and sensitivity. Liquid biopsies as a source for biomarkers have become the focus of clinical research. Our review highlights alternative biomarkers derived from liquid biopsies, including circulating tumor cells, proteins, circulating nucleic acids, and exosomes, and their potential for clinical application. Using defined combinations of different biomarkers will open new perspectives for diagnosing, treating, and monitoring HCC.