Technology and Future of Multi-Cancer Early Detection.
Danny Arnold MilnerJochen K LennerzPublished in: Life (Basel, Switzerland) (2024)
Cancer remains a significant global health challenge due to its high morbidity and mortality rates. Early detection is essential for improving patient outcomes, yet current diagnostic methods lack the sensitivity and specificity needed for identifying early-stage cancers. Here, we explore the potential of multi-omics approaches, which integrate genomic, transcriptomic, proteomic, and metabolomic data, to enhance early cancer detection. We highlight the challenges and benefits of data integration from these diverse sources and discuss successful examples of multi-omics applications in other fields. By leveraging these advanced technologies, multi-omics can significantly improve the sensitivity and specificity of early cancer diagnostics, leading to better patient outcomes and more personalized cancer care. We underscore the transformative potential of multi-omics approaches in revolutionizing early cancer detection and the need for continued research and clinical integration.
Keyphrases
- papillary thyroid
- early stage
- squamous cell
- single cell
- global health
- childhood cancer
- public health
- lymph node metastasis
- squamous cell carcinoma
- lymph node
- drinking water
- big data
- copy number
- artificial intelligence
- label free
- sentinel lymph node
- sensitive detection
- loop mediated isothermal amplification
- current status