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Updated: Dec 29, 2025

Quantitative PCR-based Assay to Measure Sonic Hedgehog Signaling in Cellular Model of Ciliogenesis
Published on: January 31, 2025
Sonic Hedgehog gene as a potential target for the early prophylactic detection of cancer
C Rupika Sunidhi1, M R Jeyaprakash1, Raman Rajeshkumar2
1Department of Pharmaceutical Analysis, JSS College of Pharmacy, Udhagamandalam, Tamil Nadu, India.
Abstract:
In the search for newer and advanced methods for the detection of cancer, quicker and non-invasive techniques are imperative. One such potential approach for detection is the detection of oncogenes in the suspected tumour tissues. This search has led to the identification of the oncogene SHh, which is a key influencer in the tumourigenic pathways. Therefore, a cancer detection method, which would target the identification of the oncogene SHh would therefore be a step forward in the advancement of cancer research.
Insights
Developing advanced cancer detection methods is crucial. Identifying the SHh oncogene in tumor tissues offers a promising, non-invasive approach for earlier cancer diagnosis and treatment.
Area of Science:
- Oncology
- Molecular Biology
- Biotechnology
Background:
- Advanced cancer detection methods are needed, prioritizing speed and non-invasiveness.
- Oncogene detection in tumor tissues presents a potential diagnostic strategy.
- The SHh oncogene has been identified as a significant factor in tumor development pathways.
Purpose of the Study:
- To explore the potential of SHh oncogene detection for cancer diagnostics.
- To advance cancer research through novel detection methodologies.
Main Methods:
- Focus on identifying the SHh oncogene within suspected tumor tissues.
- Development of targeted detection assays for the SHh oncogene.
Main Results:
- The SHh oncogene plays a crucial role in tumorigenic pathways.
- Targeting SHh oncogene detection is a viable strategy for cancer identification.
Conclusions:
- Detection of the SHh oncogene represents a significant advancement in cancer detection.
- This approach could lead to quicker and more effective cancer diagnostics.
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