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Updated: May 21, 2025

Use of Interferon-γ Enzyme-linked Immunospot Assay to Characterize Novel T-cell Epitopes of Human Papillomavirus
Published on: March 8, 2012
Recent update on the development of HPV16 inhibitors for cervical cancer
Muhammad Shoaib1, Amina Tariq1, Yanchen Liu1
1College of Chemistry, Pingyuan Laboratory, and State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou, Henan 450001, China.
Abstract:
Persistent infection with human papillomavirus (HPV) can lead to cervical cancer (CC), which is the fourth most commonly diagnosed cancer in women globally. In this review, we have explained the HPV genome and the development of CC. Additionally, we summarized recently discovered small molecules that act as inhibitors of HPV-16. These molecules were identified through experimental and in-silico studies aimed at preventing or treating CC. HPV-16 and HPV-18 are the most common subtypes of HPV that cause CC globally. E6 oncoprotein of HPV-16 is considered the primary cause of CC progression. Therefore, E6 is the most focused targeted protein for developing specific and novel therapeutic inhibitors to treat HPV-related cancers. In recent years, various HPV inhibitors have been identified by means of experimental and in-silico studies. In addition, artificial intelligence-based medical diagnostic tools have grown more popular as they are capable of screening and diagnosing HPV-related cancer.
Insights
Persistent human papillomavirus (HPV) infection causes cervical cancer (CC). This review covers HPV, CC development, and new small molecule inhibitors targeting HPV-16 E6 oncoprotein for CC treatment.
Area of Science:
- Oncology
- Virology
- Molecular Biology
Background:
- Persistent human papillomavirus (HPV) infection is a leading cause of cervical cancer (CC), the fourth most common cancer in women globally.
- HPV-16 and HPV-18 are the predominant subtypes responsible for CC.
- The HPV-16 E6 oncoprotein is a critical factor in CC progression.
Purpose of the Study:
- To review the HPV genome and the pathogenesis of cervical cancer.
- To summarize novel small molecules identified as inhibitors of HPV-16.
- To discuss the potential of these inhibitors and AI in preventing and treating HPV-related cancers.
Main Methods:
- Literature review of HPV genome and CC development.
- Summary of experimental and in-silico studies identifying HPV-16 inhibitors.
- Overview of artificial intelligence applications in HPV-related cancer diagnostics.
Main Results:
- Small molecules targeting HPV-16, particularly the E6 oncoprotein, have been identified.
- Both experimental and computational approaches have yielded potential therapeutic agents.
- Artificial intelligence tools show promise for improved screening and diagnosis of HPV-related cancers.
Conclusions:
- Targeting the HPV-16 E6 oncoprotein is a key strategy for developing novel CC therapies.
- A combination of small molecule inhibitors and AI-driven diagnostics may advance HPV-related cancer management.
- Further research into these inhibitors and diagnostic tools is warranted.
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