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Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
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Area of Science:

  • Oncology
  • Virology
  • Genomics

Background:

  • HPV-associated oropharyngeal cancer (HPV+OPSCC) is a leading cancer in the US, lacking a screening test.
  • Early development of HPV+OPSCC is presumed to occur 10-15 years before clinical diagnosis.
  • Circulating tumor HPV DNA (ctHPVDNA) is a validated biomarker for HPV+OPSCC.

Approach:

  • Developed HPV-DeepSeek, a whole genome sequencing assay for HPV detection with 99% sensitivity and specificity.
  • Analyzed 28 plasma samples from HPV+OPSCC patients collected 1.3-10.8 years pre-diagnosis using HPV-DeepSeek and serology assays.
  • Utilized a machine learning model for classification and orthogonal validation with PIK3CA mutations and viral integration events.

Key Points:

  • The HPV-DeepSeek assay detected HPV+OPSCC in 79% of cases with a maximum lead time of 7.8 years.
  • A machine learning model achieved 96% classification accuracy, with 100% detection within 10 years.
  • Orthogonal validation confirmed cancer signals in 68% of patients; molecular fingerprinting ruled out contamination and confirmed viral genome stability over time.

Conclusions:

  • Demonstrated accurate blood-based detection of HPV-associated cancers up to 10 years prior to clinical diagnosis.
  • Highlighted the significant potential of circulating tumor DNA (ctDNA)-based screening for early cancer detection.
  • Established a foundation for developing a feasible blood-based screening test for HPV+OPSCC.