Abstract 159: Spatial multimodal understanding of disease heterogeneity and aggressiveness in renal cell carcinoma

Abstract Renal cell carcinomas (RCC) are highly heterogeneous and aggressive cancers with diverse histological subtypes, molecular profiles, tumor microenvironments (TMEs), and clinical behaviors. Intratumoral heterogeneity (ITH), a hallmark of RCC, arises from distinct subclones within the same tumor that vary histopathologically and molecularly. To elucidate the biological mechanisms underlying RCC tumorigenesis at single-cell resolution, we examined 155 tumor specimens from 78 cases, encompassing clear cell RCC (ccRCC), papillary RCC (pRCC), chromophobe RCC (chRCC), and rare subtypes. We utilized 80 single-nucleus RNA sequencing (snRNA-seq) and 55 single-nucleus ATAC sequencing (snATAC-seq) datasets alongside advanced spatial biology techniques, including 27 Xenium In Situ, 12 Visium spatial transcriptomics (ST), and 7 co-detection by indexing (CODEX) samples. The connection of matched bulk proteogenomic data, clinical annotations, and histopathological evaluations from H&E staining further enhanced our spatial multimodal investigation. From single-nucleus sequencing of over half a million nuclei, we identified specific transcriptional programs and chromatin accessibility patterns among RCC subtypes, including HIF pathway dysregulation in ccRCC and MET pathway activation in pRCC. We also identified markers and constructed signature scores for rare but high-grade phenotypes, such as the aggressive rhabdoid and sarcomatoid features in ccRCC. Spatial analyses confirmed the utility of these feature-associated signatures for detection, quantification, and potential therapeutic targeting. Furthermore, we characterized the spatial organization and tumor-TME interactions, providing critical insights into spatially diverse ITH in RCC. Notably, a Grade-4 ccRCC sample exhibited three distinct tumor subclones and regions of necrosis characterized by Xenium, CODEX, and Visium profiling. Among these, a rhabdoid-associated subclone showed tumor-intrinsic signatures of elevated cell cycle activity and epithelial-mesenchymal transition (EMT), distinguishing it from conventional ccRCC subclones and indicating higher metastatic potential. We further revealed a unique macrophage subpopulation closely interacting with the rhabdoid subclone, forming an immunosuppressive niche that likely contributes to immune evasion, resistance to immunotherapies, and disease recurrence. Collectively, our spatial multimodal findings delineate the molecular signatures and mechanisms underlying RCC heterogeneity and aggressive features. By linking spatially distinct subclones to tumor progression and therapeutic resistance, this study provides valuable insights for developing personalized and effective therapeutic strategies to improve outcomes for RCC patients. Citation Format: Yize Li, Wagma Caravan, Yuwei Zhang, Andrew Houston, Siqi Chen, Chia-Kuei Mo, Preet Lal, Xiangwei Fang, Xiyi Wei, Ruiyang Liu, Ilya Strunilin, Yizhe Song, Song Cao, Cody Weimholt, Hui Zhang, Feng Chen, Li Ding Spatial multimodal understanding of disease heterogeneity and aggressiveness in renal cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 159.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-159
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 159: Spatial multimodal understanding of disease heterogeneity and aggressiveness in renal cell carcinoma

Preet Lal, Xiangwei Fang, Li Ding, Song Cao et al.
Cancer Research
Health, Environment, Cognitive Aging
article

Abstract 159: Spatial multimodal understanding of disease heterogeneity and aggressiveness in renal cell carcinoma

Preet Lal, Xiangwei Fang, Li Ding, Song Cao, Cody Weimholt, Chia-Kuei Mo, Feng Chen, Yizhe Song, Ilya Strunilin, Ruiyang Liu, Yize Li, Xiyi Wei, Andrew Houston, Wagma Caravan, Hui Zhang, Yuwei Zhang, Siqi Chen
article en

Abstract

Abstract Renal cell carcinomas (RCC) are highly heterogeneous and aggressive cancers with diverse histological subtypes, molecular profiles, tumor microenvironments (TMEs), and clinical behaviors. Intratumoral heterogeneity (ITH), a hallmark of RCC, arises from distinct subclones within the same tumor that vary histopathologically and molecularly. To elucidate the biological mechanisms underlying RCC tumorigenesis at single-cell resolution, we examined 155 tumor specimens from 78 cases, encompassing clear cell RCC (ccRCC), papillary RCC (pRCC), chromophobe RCC (chRCC), and rare subtypes. We utilized 80 single-nucleus RNA sequencing (snRNA-seq) and 55 single-nucleus ATAC sequencing (snATAC-seq) datasets alongside advanced spatial biology techniques, including 27 Xenium In Situ, 12 Visium spatial transcriptomics (ST), and 7 co-detection by indexing (CODEX) samples. The connection of matched bulk proteogenomic data, clinical annotations, and histopathological evaluations from H&E staining further enhanced our spatial multimodal investigation. From single-nucleus sequencing of over half a million nuclei, we identified specific transcriptional programs and chromatin accessibility patterns among RCC subtypes, including HIF pathway dysregulation in ccRCC and MET pathway activation in pRCC. We also identified markers and constructed signature scores for rare but high-grade phenotypes, such as the aggressive rhabdoid and sarcomatoid features in ccRCC. Spatial analyses confirmed the utility of these feature-associated signatures for detection, quantification, and potential therapeutic targeting. Furthermore, we characterized the spatial organization and tumor-TME interactions, providing critical insights into spatially diverse ITH in RCC. Notably, a Grade-4 ccRCC sample exhibited three distinct tumor subclones and regions of necrosis characterized by Xenium, CODEX, and Visium profiling. Among these, a rhabdoid-associated subclone showed tumor-intrinsic signatures of elevated cell cycle activity and epithelial-mesenchymal transition (EMT), distinguishing it from conventional ccRCC subclones and indicating higher metastatic potential. We further revealed a unique macrophage subpopulation closely interacting with the rhabdoid subclone, forming an immunosuppressive niche that likely contributes to immune evasion, resistance to immunotherapies, and disease recurrence. Collectively, our spatial multimodal findings delineate the molecular signatures and mechanisms underlying RCC heterogeneity and aggressive features. By linking spatially distinct subclones to tumor progression and therapeutic resistance, this study provides valuable insights for developing personalized and effective therapeutic strategies to improve outcomes for RCC patients. Citation Format: Yize Li, Wagma Caravan, Yuwei Zhang, Andrew Houston, Siqi Chen, Chia-Kuei Mo, Preet Lal, Xiangwei Fang, Xiyi Wei, Ruiyang Liu, Ilya Strunilin, Yizhe Song, Song Cao, Cody Weimholt, Hui Zhang, Feng Chen, Li Ding Spatial multimodal understanding of disease heterogeneity and aggressiveness in renal cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 159.

Cancer ResearchVol. 85(8_Supplement_1)
Johns Hopkins University (US), Washington University in St. Louis (US), University of Baltimore (US)
Openalex Percentile: Top 90%
Health, Environment, Cognitive Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.