2021 Fiscal Year Final Research Report
Functional analysis of HPV E7 gene mutations and CIN3 progression using cohort samples
| Project/Area Number |
19K07636
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 50010:Tumor biology-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
田口 歩 東京大学, 医学部附属病院, 助教 (60756782)
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | HPVタイプ / CIN / 子宮頸がん |
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| Outline of Final Research Achievements |
In the "Study of HPV expression profile using CIN cohort samples," we examined the expression of HPV-derived E6/E6*, E1^E4, and L1 in HPV types 16, 18, 52, and 58 and found that HPV type 18 positive cases showed loss of L1 expression, while HPV type 52 positive cases showed L1 expression even in CIN3 In contrast, in HPV52-positive cases, L1 expression was observed even in CIN3. In "Prediction of CIN Prognosis Using the Markov Model," we analyzed the Markov model, a statistical model that can reflect the natural history of CIN with repeated progression and regression, and found that HPV type 16 shows rapid development of cervical dysplasia in a stepwise manner, while HPV types 52 and 58 are associated with persistent infection and mild to moderate dysplasia. HPV types 52 and 58 are characterized by persistent infection and mild to moderate dysplasia.
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| Free Research Field |
婦人科悪性腫瘍
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| Academic Significance and Societal Importance of the Research Achievements |
子宮頸部異形成（CIN）の適切な管理のためには、CINの進展退縮を予測することが必要である。CINの予後は感染HPVタイプにより異なる。HPVタイプ毎の特徴を理解することがCINの進展や退縮を予測するには不可欠である。本研究の結果により、HPVタイプ毎の特徴を見出したことにより、HPVタイプ毎の治療方針に反映させることが可能となる。これにより子宮頸部円錐切除術といった侵襲的な治療を回避することや、待機することが可能となり、患者の負担軽減に繋がり、非常に社会的意義が高いと考えられる。
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