PO.CL05.04 · 临床研究

Beyond density: Topography-aware spatial metrics predict immunotherapy outcomes

海报缩略图:Beyond density: Topography-aware spatial metrics predict immunotherapy outcomes
编号 6546 展板 12 时间 4/21 02:00–05:00 区域 Section 44 主讲 Artur Mezheyeuski
分会场 Immune Checkpoint Blockade
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作者与单位

Artur Mezheyeuski1, Neda Hekmati2, Ina Hrynchyk3, Amanda Lindberg2, Jakob Friedrich2, Johanna Mattsson2, Miklos Gulyas2, Klas Kärre4, Johan Isaksson2, Carina Strell5, Patrick Micke2

1Vall d’Hebron Institute of Research (VHIR), Barcelona, Spain,2Uppsala University, Uppsala, Sweden,3City Clinical Pathologoanatomic Bureau, Minsk, Belarus,4Karolinska Institutet, Stockholm, Sweden,5Uppsala University, Dept of Immunology, Genetics and Pathology, Uppsala, Sweden

摘要 Abstract

Background: Accumulating evidence suggests that the spatial organization of tumor-immune ecosystems determines the benefit of checkpoint inhibitors. Therefore, topography-aware metrics that adjust for baseline cell abundance are better suited to quantify spatial immune patterns, such as attraction, repulsion, and clustering, across scales. We hypothesized that such multiscale spatial metrics would outperform immune cell density alone for explaining therapy benefit and survival in advanced non-small cell lung cancer (NSCLC) patients. Methods: We applied a multiplex immunofluorescence pipeline on diagnostic tissue of 54 NSCLC patients treated with checkpoint inhibitors. Annotated cell classes included cancer cells, CD8⁺, CD8⁺FoxP3⁺, M1 and M2 macrophages (-/+PDL1), CD68 - CD163 + cells and stromal non-immune cells. To spatially resolve the immune patterns, we computed neighborhood enrichment (ENR) and radial local enrichment (RLE). ENR was computed over k-nearest neighborhoods (k=5-100) and provided information about the attraction tendency between two cell classes, independent from cell density. RLE was evaluated over 10-50 µm radii and reflected the spatial cell clustering tendency. The spatial metrics were associated with therapy response and overall survival. Results: CD8 ⁺ FoxP3 ⁺ cells stratify risk. Responders demonstrate neighboring of CD8⁺ or CD8⁺PD1⁺ cells to CD8⁺FoxP3⁺ at different scales (ENR k=5-100, p=0.04-0.007), strongest at shorter distances. In the survival analysis, CD8⁺FoxP3⁺ cells were associated with shorter survival when they were closer to PDL1+ cancer cells (ENR: HR 3.7-7.5, p=0.01-0.04). CD8 geometry in stroma tracks response but not survival. Increased clustering of CD8⁺PD1⁺ associated with higher response to therapy (ENR k=10-100, p=0.05- 0.002). Notably, CD8⁺PD1 - cells did not show such associations. This positive impact on therapy response did not translate into a longer overall survival in this cohort. Tumor purity and compactness is associated with shorter survival. Local enrichment of cancer cells within 10-50 µm was associated with poor response and shorter OS, (RLE: HR 2.2-2.5, p=0.03-0.007), pointing to denser, homogeneous tumor nests as a risk factor. Conclusion: Topography-aware spatial metrics capture clinically meaningful organization beyond simple density. These findings supported the cellular context-dependent evaluation of biomarkers. Furthermore our findings also provide in situ evidence for a focused evaluation of a rare, hitherto poorly described subtype of CD8⁺FoxP3⁺ immune cells.
利益披露 Disclosure
A. Mezheyeuski, None.. N. Hekmati, None.. I. Hrynchyk, None.. A. Lindberg, None.. J. Friedrich, None.. J. Mattsson, None.. M. Gulyas, None.. K. Kärre, None.. J. Isaksson, None.. C. Strell, None.. P. Micke, None.

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