Liver cancer, comprising hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), is a leading cause of cancer-related deaths worldwide. The liver is a primary metabolic organ for progesterone (PRG) and PRG exerts its effects through classic nuclear PRG receptors (nPRs) and non-classic membrane PRG receptors (mPRs) or a combination of both. Previous studies have shown that the CCM signaling complex (CSC) couples both nPRs and mPRs to form the CmPn (CSC-mPR-PRG-nPR) signaling network, which is involved in multiple cellular signaling pathways, including tumorigenesis of various cancers. Despite advances in treatment, 5-year survival rates for liver cancer patients remain low, largely due to the chemoresistant nature of HCCs. The lack of sensitive and specific biomarkers for liver cancer diagnosis and prognosis emphasizes the need for identifying new potential biomarkers. We propose the potential use of CmPn members’ expression data as prognostic biomarkers or biomarker signatures for the major types of hepatic cancer, including HCCs and CCAs, as well as rare subtypes such as undifferentiated pleomorphic sarcoma (UPS) and hepatic angiosarcoma (HAS). In this study, we investigated the CmPn network through RNAseq data and immunofluorescence techniques to measure alterations to key cancer pathways during liver tumorigenesis. Our findings reveal significant differential expression of multiple CmPn members, including CCM1, PAQR7, PGRMC1, and nPRs, in both HCCs and CCAs, highlighting the crucial roles of mPRs, nPRs, and CSC signaling during liver tumorigenesis. These key members of the CmPn network may serve as potential biomarkers for the diagnosis and prognosis of liver cancer subtypes, including rare subtypes.

Tuberculosis (TB) is the leading cause of death among people with HIV-1 infection. To improve the diagnosis and treatment of HIV-TB patients, it is important to understand the mechanisms underlying these conditions. Here, we used an integrated genomics approach to analyze and determine the lncRNAs that are dysregulated in HIV-TB patients and HIV-TB patients undergoing anti-retroviral therapy (ART) using a dataset available in the public domain. The analyses focused on the portion of the genome transcribed into non-coding transcripts, which historically have been poorly studied and received less focus. This revealed that Mtb infection in HIV prominently up-regulates the expression of long non-coding RNA (lncRNA) genes DAAM2-AS1, COL4A2-AS1, LINC00599, AC008592.1, and CLRN1-AS1 and down-regulates the expression of lncRNAs AC111000.4, AC100803.3, AC016168.2, AC245100.7, and LINC02073. It also revealed that ART down-regulates the expression of some lncRNA genes (COL4A2-AS1, AC079210.1, MFA-AS1, and LINC01993) that are highly up-regulated in HIV-TB patients. Furthermore, the interrogation of the genomic regions that are associated with regulated lncRNAs showed enrichment for biological processes linked to immune pathways in TB-infected conditions. However, intriguingly, TB patients treated with ART showed completely opposite and non-overlapping pathways. Our findings suggest that lncRNAs could be used to identify critical diagnostic, prognostic, and treatment targets for HIV-TB patients.

RNA-based therapeutics have enabled drug discovery and design by introducing a fundamentally different perspective from conventional therapeutics. RNAs are not only the upstream molecules of proteins (coding) but also functional components of an extensive and intricate regulatory network (noncoding) that helps govern biological processes and mechanisms. Recent advances in functional genomics have accelerated the identification of functional RNAs with well-defined roles and their use in diagnostic and therapeutic approaches, which was previously challenging. RNA molecules can dynamically regulate gene function through their sequence and/or structure. Thus, RNA therapeutics offer distinct strategies for both loss- and gain-of-function interventions. This review focuses on druggable functional RNAs and discusses current and emerging technologies, as well as the scope for their potential clinical utility and targeted treatment. It also highlights the most studied optimization strategies and delivery systems designed to enhance the efficacy and tissue-specific delivery of RNA therapeutics to improve clinical outcomes. Finally, we offer our understanding and perspective on the field. Recent developments in enhancing the stability of these molecules in vivo have further improved the therapeutic potential of RNA-based approaches.

Recent high‐throughput sequencing technologies have discovered various polymerase II transcribed transcripts. The majority of them are non‐protein‐coding, understudied and poorly conserved. Non‐coding transcripts are categorised based on their location in the genome and the direction in which they are transcribed; these categories classify a non‐coding transcript as either antisense, intergenic or divergent. The RNAs belonging to divergent classes consist of two transcripts, transcribed in sense and antisense direction, generated from the same promoter or locus. Multiple environmental and genetic cues can determine the regulation of these transcripts. One of the well‐known signalling molecules, estrogen, has been shown to play a vital role in the activation and regulation of divergent transcripts by mediating effects through the estrogen receptors. Emerging studies have shown a strong causative effect between estrogen‐regulated divergent transcripts and diseases such as cancer. However, few, viz., lncRNA67, CUPID1 and CUPID2, show a causal relationship with estrogen‐dependent biology. This mini‐review summarises their role in estrogen‐dependent processes that may drive the research to identify novel estrogen‐signalling regulators.