Development of a diagnostic technique using novel high-sensitivity expression analyses for secondary prevention against pancreatic and renal tumors

2023 Fiscal Year Final Research Report

• Project/Area Number: 22K19679
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 58:Society medicine, nursing, and related fields
• Research Institution: National Defense Medical College
• Principal Investigator: Nakayama Akiyoshi 防衛医科大学校(医学教育部医学科進学課程及び専門課程、動物実験施設、共同利用研究施設、病院並びに防衛, 分子生体制御学, 准教授 (50876000)
• Co-Investigator(Kenkyū-buntansha): 中岡 博史 公益財団法人佐々木研究所, 附属研究所, 部長 (70611193) ; 永生 高広 防衛医科大学校(医学教育部医学科進学課程及び専門課程、動物実験施設、共同利用研究施設、病院並びに防衛, 外科学, 講師 (70421964)
• Project Period (FY): 2022-06-30 – 2024-03-31
• Keywords: 浸潤性膵管癌 / 腎細胞癌 / 包括的高感度転写産物プロファイリング / 次世代シーケンシング / 高感度発現解析

Outline of Final Research Achievements

It is unfortunate that there are many carcinomas for which there are currently no effective diagnostic methods for early detection or early detection of recurrence. Pancreatic and renal cancers are typical examples. We sought to identify molecules specific to pancreatic and renal cancers by creating a database using a novel high-sensitivity analysis method combining the High Coverage Gene Expression Profiling (HiCEP) method and next-generation sequencing (NGS) method in surgical tissues and peripheral blood samples from approximately 90 and 100 cases of pancreatic and renal cancer, respectively. As results, we have identified several novel genes whose expression levels were significantly increased in cancer tissues compared to non-cancerous areas. We have also replicated these results in other case specimens. In addition, we have performed a spatial transcriptome analysis, which was recently developed, and are now in the process of matching the results with the above database.

Free Research Field

分子遺伝疫学

Academic Significance and Societal Importance of the Research Achievements

多くの癌腫では今なお実臨床において有効な診断マーカーは確立していない。未知遺伝子を含む全てのmRNAについて網羅的に探索することが可能であり、検出感度や再現性も高い。本研究は、申請者らがこれまで行ってきたHiCEP法とNGSを組み合わせた高感度解析法をさらに発展させ、網羅的なデータベースを作成できた。本研究成果は、他の癌腫へも応用可能であり、癌の二次予防を含めた臨床応用を目指したチャレンジである。