頭頸部腫瘍の総合診断(Comprehensive diagnosis of head and neck tumors)

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2024-10-28 マックス・プランク研究所

ヘルシンキ大学の研究チームが、AIを用いて頭頸部がんの詳細な細胞単位での分析法を開発した。これにより、患者の予後や治療反応をより正確に評価する「指紋」が作成できる。新手法は、良好な予後と悪性の予後を持つ二つの患者グループを特定し、特に悪性の予後を持つ患者には積極的な治療が必要と判断できる。現在、この技術を他のがんにも応用可能な診断テストが開発中である。

<関連情報>

マルチパラメーターイメージングにより、頭頸部癌における臨床的に関連性のある癌細胞-間質相互作用の動態が明らかになる Multiparameter imaging reveals clinically relevant cancer cell-stroma interaction dynamics in head and neck cancer

Karolina Punovuori ∙ Fabien Bertillot∙ Yekaterina A. Miroshnikova∙ … ∙ Antti Mäkitie ∙ Johanna Ivaska ∙ Sara A. Wickström
Cell  Published:October 28, 2024
DOI:https://doi.org/10.1016/j.cell.2024.09.046

Graphical abstract

頭頸部腫瘍の総合診断(Comprehensive diagnosis of head and neck tumors)

Highlights

•Integrative image analysis of cell state and morphology for cancer prognosis
•Combined tumor-stroma profiles generate clinically relevant phenotypic signatures
•Disease outcome of pEMT signature patients is highly sensitive to stromal composition
•pEMT state is required for pro-invasive reprogramming by cancer-associated fibroblasts

Summary

Epithelial tumors are characterized by abundant inter- and intra-tumor heterogeneity, which complicates diagnostics and treatment. The contribution of cancer-stroma interactions to this heterogeneity is poorly understood. Here, we report a paradigm to quantify phenotypic diversity in head and neck squamous cell carcinoma (HNSCC) with single-cell resolution. By combining cell-state markers with morphological features, we identify phenotypic signatures that correlate with clinical features, including metastasis and recurrence. Integration of tumor and stromal signatures reveals that partial epithelial-mesenchymal transition (pEMT) renders disease outcome highly sensitive to stromal composition, generating a strong prognostic and predictive signature. Spatial transcriptomics and subsequent analyses of cancer spheroid dynamics identify the cancer-associated fibroblast-pEMT axis as a nexus for intercompartmental signaling that reprograms pEMT cells into an invasive phenotype. Taken together, we establish a paradigm to identify clinically relevant tumor phenotypes and discover a cell-state-dependent interplay between stromal and epithelial compartments that drives cancer aggression.

医療・健康
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