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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Integrating Multiomics and Machine Learning: Senescence-Regulated ALMS1-IT1/miR-7c-5p/HMGA2 Axis as a Novel Therapeutic Target for Head and Neck Squamous Cell Carcinoma
1. Introduction Click to copy section linkSection link copied! Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer in the world, occurring in the mucosal epithelial surface of the four major anatomical sites of the mouth, nasal cavity, pharynx, and larynx, accounting for >90% of head and neck cancers, with rapid progression, extensive invasion, and poor prognosis.
Using Multiomics and Machine Learning: Insights into Improving the Outcomes of Clear Cell Renal Cell Carcinoma via the SRD5A3-AS1/hsa-let-7e-5p/RRM2 Axis
Introduction Click to copy section linkSection link copied! Renal cell carcinoma (RCC) is one of the ten most common malignant tumors in the world, with approximately 70% of individuals diagnosed with clear cell renal cell carcinoma (ccRCC). (1,2) ccRCC represents the most common and deadliest subtype of kidney cancer, accounting for approximately 180 000 deaths per year worldwide.
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