日本研究人员利用人工智能在“暗基因组”中找到新的癌症目标, Japanese researchers used AI to find new cancer targets in the "dark genome," advancing personalized vaccine development for tough-to-treat cancers.

日本JFCR和NEC的研究人员利用AI分析乳腺癌和软组织沙眼的全基因数据,确定“黑暗基因组”中先前未知的癌症特定抗原,为个人化疫苗提供了新目标。 Researchers from Japan’s JFCR and NEC used AI to analyze whole-genome data from breast cancer and soft tissue sarcoma, identifying previously unknown cancer-specific antigens in the "dark genome," offering new targets for personalized vaccines. 在SITC 2025会议上提出的研究结果,可以扩大难以治疗的癌症治疗选择,因为常规新抗原水平较低. The findings, presented at the SITC 2025 meeting, could expand treatment options for hard-to-treat cancers with low conventional neoantigen levels. 这项工作支持日本通过基因组学和AI驱动的疗法来推动精准医学。 The work supports Japan’s push for precision medicine through genomic and AI-driven therapies.