發明
中華民國
111125374
I 799313
評估組織微環境之惡性程度之指標的建立與使用方法及其系統
國立臺灣大學
2023/04/11
癌相關纖維母細胞扮演腫瘤微環境的關鍵角色,具有多種能力支持腫瘤生長和促進腫瘤惡性化,並與病患腫瘤復發及抗藥性息息相關。因此標靶癌相關纖維母細胞來抑制其促癌力成為新興的治療策略,可以輔助以標靶癌細胞本身的傳統治療策略。而發展DNA甲基化預測標誌來評估腫瘤微環境惡性程度,可協助標靶腫瘤微環境之個人化醫療。 研究團隊自非小細胞肺癌病人的癌相關纖維母細胞與其對應的正常纖維母細胞中,開發了一個有效的DNA甲基化組/轉錄組資訊整合系統,建立一具有高靈敏度和特異性的DNA甲基化指數(methylation index for normal/cancer-associated fibroblasts discrimination (MIND)),可用來鑑別正常纖維母細胞與癌相關纖維母細胞的差異性,量化與分級患者腫瘤微環境的惡性程度,並有效地評估病患預後。 此DNA甲基化指數具有檢測個體患者癌前病變的潛力,可幫助患者進行腫瘤復發風險評分。精確的腫瘤微環境分級可以提供額外的病理訊息,並為個人化精準醫療開闢更多選擇。 Since cancer-associated fibroblasts (CAFs), a key determinant within the tumor microenvironment (TME), possess multifaceted capacity for supporting tumor growth and the malignancy, contributing to tumor recurrence and drug resistance, targeting CAFs to inhibit tumor-promoting activities has arisen as a novel therapeutic strategy to complement common approaches of targeting the tumor itself. The identification of DNA methylation–based predictive markers for quantifying the protumorigenic potency of CAFs is in urgent need for TME-targeted personalized medicine. We developed a robust and efficient methylome/transcriptome co-analytical system for CAFs and paired normal fibroblasts (NFs) from non–small-cell lung cancer patients. We built a methylation index for normal/cancer-associated fibroblasts discrimination (MIND) that could quantify the level of TME malignancy with high sensitivity and specificity, and effectively assess prognosis.MIND has the potential to detect premalignancy and predict tumor recurrence across individual patients. Precision TME grading provides additional pathological information to guide cancer prognosis and helps open up more options in personalized medicine.
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