多発性骨髄腫におけるex vivo治療応答の予測:アッセイ形式,臨床的相関,および将来の方向性
Gavin R Oliver1, Carlton C Barnett1,2, Kendra E Hightower1
1Xilis, Inc., Durham, NC 27703, USA.
Cancers
|February 13, 2026
まとめ
多発性骨髄腫に対するex vivo機能検査は進んでいるが,治療決定において臨床的に信頼性の高い単一の検査は存在しない. このレビューでは,現在の2D,3Dおよびダイナミックモデルを検証し,将来のアッセイ開発のための強みと限界を強調しています.
科学分野:
- 血液学 ヘマトロジ
- 腫瘍学 腫瘍学
- バイオメディカルエンジニアリング
背景:
- 多発性骨髄腫のエクス・ビボ機能検査は,治療決定を導く上で極めて重要です.
- 現在のアッセイは,日常的な意思決定のための信頼性と臨床的有用性がない.
研究 の 目的:
- 多発性骨髄腫に対する既存のex vivo機能検査のレビューと評価を行う.
- 臨床的相関における異なる測定形式の強みと限界を評価する.
- 最適な将来の検査を開発するための考慮事項について議論する.
主な方法:
- 多発性骨髄腫の臨床的相関が実証された公開されたex vivo試験のレビュー.
- 2Dカルチャー,3Dモデル,ダイナミックシステムにアッセイを分類する.
- 測定形式,強度,制限,および臨床的関連性の評価.
主要な成果:
- 2Dアッセイは臨床的相関性で成熟しているが,骨髄の微環境を過度に単純化している.
- 3Dシステム (球体,オルガノイド) は,腫瘍の異質性と微環境をより良く保ち,新興の臨床的関連性を示しています.
- ダイナミックシステム (マイクロ流体学,浸透型モデル) は,生理学的に進歩しているが,技術的に複雑で,検証が少ない.
結論:
- 多発性骨髄腫に対するex vivo機能検査において,実質的な進展がみられた.
- 現在,最適な臨床ツールとしての基準を満たす単一の測定法はありません.
- 将来の測定開発は,改善された臨床的有用性のために,微環境の複雑性と生理学的関連性を統合することを目指すべきである.
キーワード:
2Dモデルの2Dモデル3Dモデルの3Dモデル臨床的な相関関係ダイナミック・システムとはエックス・ビボテスト (Ex-vivo test)マルチプルミエロマ (多発性ミエロマ)レビュー レビュー レビュー レビュー レビューさらに関連する動画
09:41An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
Published on: July 15, 2015
9.1K
10:04Establishment of a Human Multiple Myeloma Xenograft Model in the Chicken to Study Tumor Growth, Invasion and Angiogenesis
Published on: May 1, 2015
13.5K
関連する概念動画
Correlations
36.6K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.6K
Correlation and Causation
43.0K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
43.0K
Drug Product Performance: In Vitro–In Vivo Correlation
288
In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
288
Correlation
15.2K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
15.2K
Predicting Molecular Geometry
46.1K
VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model
2
Pharmacodynamic models are essential tools in understanding the relationship between drug concentrations and their effects on biological systems. By characterizing the dynamics of drug action, these models guide dose selection, optimize therapeutic efficacy, and inform the development of new drugs. Two major classes of pharmacodynamic models include direct effect and indirect response models.Direct Effect ModelsDirect effect models describe the immediate relationship between drug concentration...
2
