Alterations in the expression levels of long intergenic non-coding RNA APOC1P1-3 in cervical cancer tissue samples

Dastmalchi, Narges; Akbarzadeh, Sama; Amini, Farnaz; Rajabi, Ali; Safaralizadeh, Reza

doi:10.1080/15257770.2022.2160459

Cited by 2 publications

(2 citation statements)

References 27 publications

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“…In lung cancer, the transcription factors AP2A and AP2B were found to promote the expression of the USP22 gene, which is associated with aggressive growth and therapy resistance (63). Patients with higher AP1S1 expression have higher estrogen receptor gene expression, increased risk of distant metastasis and lymph node metastasis, and worse overall survival rates (64). DNM2 appears to be a promising molecular target for the development of anti-invasive agents and has shown potential in reducing cell proliferation and inducing apoptosis in cancer cells (65).…”

Section: Discussionmentioning

confidence: 99%

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

Bhattacharjee,

Ghosh

2024

Preprint

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Pancreatic Ductal Adenocarcinoma (PDAC) is a devastating disease with poor clinical outcomes which is mainly because of delayed disease detection resistance to chemotherapy and lack of specific targeted therapies. The disease's development involves complex interactions among immunological, genetic, and environmental factors, yet its molecular mechanism remains elusive. A major challenge in understanding PDAC etiology lies in unraveling the genetic profiling that governs the PDAC network. To address this, we examined the gene expression profile of PDAC and compared it with that of healthy controls, identifying differentially expressed genes (DEGs). These DEGs formed the basis for constructing the PDAC protein interaction network, and their network topological properties were calculated. It was found that the PDAC network self-organizes into a scale-free fractal state with weakly hierarchical organization. Newman and Girvan algorithm (leading eigenvector (LEV) method) of community detection enumerated four communities leading to at least one motif. Our analysis revealed 33 key regulators were predominantly enriched in neuroactive ligand-receptor interaction, Cell adhesion molecules, Leukocyte transendothelial migration pathways; positive regulation of cell proliferation, positive regulation of protein kinase B signaling biological functions; G-protein beta-subunit binding, receptor binding molecular functions etc. Transcription Factor and mi-RNA of the key regulators were obtained. Recognizing the therapeutic potential and biomarker significance of PDAC Key regulators, we also identified approved drugs for specific genes. However, it is imperative to subject Key regulators to experimental validation to establish their efficacy in the context of PDAC.

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Section: Discussionmentioning

confidence: 99%

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

Bhattacharjee,

Ghosh

2024

Preprint

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“…With the development of genome sequencing technologies, including high-throughput microarrays and single-cell sequencing, the role of non-coding RNAs (ncRNAs) in physiological processes and in disease progression has been in focus ( Koffler-Brill et al, 2023 ). Recent studies have confirmed that aberrant expression of long non-coding RNAs (lncRNAs) is an essential factor in the development of CC, thus endowing lncRNAs with the potential to be used as the latest diagnostic biomarker for CC ( Dastmalchi et al, 2022 ). In fact, the role of lncRNAs in CC has already been fruitfully investigated.…”

Section: Introductionmentioning

confidence: 99%

The mechanisms and diagnostic potential of lncRNAs, miRNAs, and their related signaling pathways in cervical cancer

Sun

Song

et al. 2023

Front. Cell Dev. Biol.

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Cervical cancer (CC), the fourth most prevalent type of cancer among women worldwide, is associated with high rates of morbidity and mortality. Due to the long period of latency in CC, most patients are already in the middle to late stages when initially diagnosed, which greatly reduces the clinical cure rate and quality of survival, thus resulting in poor outcomes. In recent years, with continuous exploration in the fields of bioinformatics and molecules, it has been found that ncRNAs, including miRNAs and lncRNAs, without the ability to translate proteins are capable of activating or inhibiting certain signaling pathways by targeting and modulating the level of expression of proteins involved in these signaling pathways. ncRNAs play important roles in assisting with diagnosis, drug administration, and prediction of prognosis during CC progression. As an entry point, the mechanisms of interaction between miRNAs, lncRNAs, and signaling pathways have long been a focus in basic research relating to CC, and numerous experimental studies have confirmed the close relationship of miRNAs, lncRNAs, and signaling pathways with CC development. Against this background, we summarize the latest advances in the involvement of lncRNA- and miRNA-related signaling pathways in the development of CC to provide guidance for CC treatment.

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Alterations in the expression levels of long intergenic non-coding RNA APOC1P1-3 in cervical cancer tissue samples

Cited by 2 publications

References 27 publications

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

Identification of Key Regulators in Pancreatic Ductal Adenocarcinoma using Network theoretical Approach

The mechanisms and diagnostic potential of lncRNAs, miRNAs, and their related signaling pathways in cervical cancer

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