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Background: Long noncoding RNAs (lncRNAs) HIF1A-AS2 is upregulated in multiple human cancers and are associated with various aspects of tumor progression. However, the molecular mechanisms of HIF1A-AS2 in cervical cancer (CC) remain largely unknown. In this study, we aim to investigate the expression pattern and signaling pathways of HIF1A-AS2 in CC.
Methods: The study included a group of 20 CC patients, from whom tumor tissue specimens were collected. Additionally, three distinct CC cell lines (HeLa, SiHa, CaSki) were utilized. Quantitative real-time PCR (qRT-PCR) was used to assess the transcript levels of HIF1A-AS2 in these samples. Functional studies were performed by CCK-8, Transwell and Apoptosis assays. Databases including JASPAR, miRDB and Targetscan were used for the transcription factor or target miRNA prediction, subsequent dual luciferase activity assay, chromatin immunoprecipitation (ChIP) and Ago2 immunoprecipitation (RIP) were also adopted for validation.
Results: The study demonstrated that HIF1A-AS2 expression was elevated in clinical cervical cancer specimens and cultured cell lines in comparison to normal controls. Knockdown of HIF1A-AS2 notably inhibited the proliferation and invasion of cervical cancer cells, while inducing apoptosis. In contrast, HIF1A-AS2 overexpression promoted cellular proliferation and invasion and suppressed apoptosis. It was also identified that c-Jun functions as a transcription factor, activating HIF1A-AS2 expression. Additionally, HIF1A-AS2 was found to serve as a molecular sponge for miR-34b-5p, negatively regulating its expression. Furthermore, HIF1A-AS2 controlled the expression of radixin (RDX) by sponging the miR-34b-5p pathway.
Conclusion: Our findings indicate that c-Jun-activated HIF1A-AS2 acts as an oncogenic factor in CC by sponging miR-34b-5p to target radixin. These findings suggest that HIF1A-AS2 might be a viable and promising therapeutic target for cervical cancer treatment.
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http://dx.doi.org/10.3389/fonc.2025.1530677 | DOI Listing |
Int J Cancer
September 2025
Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Cervical cancer remains a significant public health issue, ranking as the fourth most common cancer in women globally. In the Netherlands, cervical cancer incidence declined steadily from 1989 to 2001 but increased between 2001 and 2007. This study updates trends in cervical cancer incidence from 1989 to 2023 in the Netherlands and evaluates the impact of screening practices and participation rates in the national population-based screening program.
View Article and Find Full Text PDFCochrane Database Syst Rev
September 2025
Institute for Evidence in Medicine, Medical Center - University of Freiburg / Medical Faculty - University of Freiburg, Freiburg, Germany.
Rationale: Cervical cancer is the fourth most common cancer affecting women worldwide, caused by persistent infection with oncogenic human papillomavirus (HPV) types. While HPV infections usually resolve spontaneously, persistent infections with high-risk HPV types can progress to premalignant glandular or - mostly - squamous intraepithelial lesions, usually classified in cervical intraepithelial neoplasia (CIN). Women with CIN 2 and CIN 3 (i.
View Article and Find Full Text PDFRep Pract Oncol Radiother
August 2025
University Teaching Department, Chhattisgarh Swami Vivekanand Technical University, Bhilai, India.
Cervical cancer continues to pose a significant global health challenge, highlighting the urgent need for accurate and efficient diagnostic techniques. Recent progress in deep learning has demonstrated considerable potential in improving the detection and classification of cervical cancer. This review presents a thorough analysis of deep learning methods utilized for cervical cancer diagnosis, with an emphasis on critical approaches, evaluation metrics, and the ongoing challenges faced in the field.
View Article and Find Full Text PDFRep Pract Oncol Radiother
August 2025
University Teaching Department, Chhattisgarh Swami Vivekanand Technical University, Bhilai, India.
Background: Cervical cancer (CC) is a leading cause of cancer-related deaths worldwide, emphasizing the need for accurate and efficient diagnostic tools. Traditional methods of cervical cell classification are time-consuming and susceptible to human error, highlighting the need for automated solutions.
Materials And Methods: This study introduces the modified hierarchical deep feature fusion (HDFF) method for cervical cell classification using the SIPaKMeD and Herlev datasets.
Front Oncol
August 2025
Hunan Cancer Hospital, The Affiliated Cancer Hospital, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Tislelizumab, an anti-PD-1 monoclonal antibody, is associated with immune-related hepatitis in 1.8% of cases, but reports of acute liver failure (ALF) remain exceedingly rare. We present a case of fulminant hepatitis and ALF following Tislelizumab therapy in a 55-year-old woman with locally advanced cervical adenocarcinoma.
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