Lecture: AI-powered spatial multi-omics to decode the cellular language of cancer
October 8, 2026 @ 15:00 – 16:00 CEST
Professor Linghua Wang, M.D., Ph.D. The University of Texas MD Anderson Cancer Center, Houston, Texas
Professor, Genomic Medicine; Executive Director & Head, Center for Cellular Language Intelligence; Director, Multi-omics Data Analytics, James P. Allison Institute, University of Texas MD Anderson.
Resume. The Wang Laboratory at UT MD Anderson is a leading computational biology research lab dedicated to advancing cancer research through innovative bioinformatics and collaborative team science. We leverage cutting-edge single-cell and spatial omics technologies, high-plex cellular, molecular, and tissue imaging, combined with the development and application of innovative bioinformatics tools to unravel cancer complexity. Our work aims to address key questions in tumor biology, immunology and immunotherapy, including the cellular and molecular mechanisms underlying tumor development, progression and therapy response, ultimately driving transformative discoveries and accelerating their translation into tangible benefits for patients at UT MD Anderson and beyond.
Our group specializes in deep profiling of complex tumor ecosystems across space and time, focusing on the high-resolution characterization of cellular and molecular heterogeneity within cancer cells and the diverse cell populations in the tumor microenvironment (TME). We investigate their transcriptomic states, phenotypic plasticity, spatial organization patterns and interactions between cancer cells and the TME during tumor development, progression, therapy response and resistance.
Specifically, our translational interests include: Early Tumor Development, Therapy Resistance, Minimal Residual Disease (MRD), Metastasis.
Selected papers
Pan-cancer spatial atlas of tertiary lymphoid structures. Cho KS, et al. Science. 2026 May 28;392(6801):eadz2742.
Molecular phenotypes and spatial archetypes: A new framework for cancer-associated fibroblasts. Yunhe Liu, et al. Cancer Cell. 2026 Jul 13;44(7):1346-1367
A Spatial Atlas of Muscle-Invasive Bladder Cancer Reveals Lineage-Specific Vulnerabilities and Immune Architecture. Yu K, et al. Cancer Discov. 2026 May 13. doi: 10.1158/2159-8290.CD-26-009.
Spatial omics at the forefront: emerging technologies, analytical innovations, and clinical applications. Liu Y, et al. Cancer Cell. 2026 Jan 12;44(1):24-49.
UniST: A Unified Computational Framework for 3D Spatial Transcriptomics Reconstruction. Shui L, et al. bioRxiv. Preprint: 2026 Mar 16; PMID:4188990
Multimodal spatial-omics reveal co-evolution of alveolar progenitors and proinflammatory niches in progression of lung precursor lesions Peng, F, et al. Cancer Cell. 2026 Feb 09; 44(2):321-339.e13.
Spatial multi-omics landscape of colorectal cancer macro- and micrometastases. Yang Liu et al. Cancer Cell Volume 44, Issue 8p1568-1586.e11August 10, 2026
Welcome. Joakim Lundeberg (host)
joakim.lundeberg@scilifelab.se
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