ポストゲノム腫瘍学へ:人工知能,マルチターゲットの治療法,薬物の再利用,革新的な研究デザインによるがんの複雑さを受け入れること
Annabella Di Mauro1, Massimiliano Berretta2, Mariachiara Santorsola1
1Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via M. Semmola, 80131 Naples, Italy.
International journal of molecular sciences
|August 28, 2025
まとめ
精密腫瘍学は,がんによる単一標的治療で課題に直面しています.
科学分野:
- 腫瘍学
- ゲノミクス
- コンピュータ生物学
背景:
- 精密腫瘍学は特定の腫瘍発生要因をターゲットにすることで 癌の治療を進歩させました
- しかし 単一標的治療の有効性は 癌の複雑さと適応性によって制限されています
- 固体腫瘍は多因的な原因により,単一療法に対する耐性をしばしば発達させる.
研究 の 目的:
- 人工知能 (AI) によって強化された多標的治療への移行を提唱する.
- 高通量マルチオームデータを分析するAIの可能性を強調し,合理的な組み合わせの治療法を設計する.
主な方法:
- 精密腫瘍学における現在の限界の検討
- 薬剤発見,再利用,臨床試験の最適化における AI アプリケーションの探索
- 癌の総合的な理解のために,マルチオームデータを統合する.
主要な成果:
- AIは洗練された組み合わせ戦略を可能にすることで 単一標的治療の限界を克服できます
- AIは合理的な薬物設計と 複雑な腫瘍発生経路の再利用を容易にする.
- AIは治療反応の予測を強化し 臨床試験の設計を最適化します
結論:
- 耐久性の高いがん治療には AI強化された多標的療法への パラダイムシフトが必要です
- AIとマルチオームデータを活用することで 腫瘍学ががんの生物学的複雑さを より効果的に対処できるようになります
- このアプローチは 患者の改善のための 還元主義的な戦略を超えて行くことを約束します
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