Spatial genomics enables multi-modal study of clonal heterogeneity in tissues

Comprehensive molecular characterization of human colon and rectal cancer

The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499

Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position

Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422

Clonal heterogeneity and tumor evolution: past, present, and the future

McGranahan, N., & Swanton, C. (2017) · Cell · doi:10.1016/j.cell.2017.01.018 · Cited by 2,840

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution

Rodriques, S. G., Stickels, R. R., Goeva, A., Martin, C. A., Murray, E., Vanderburg, C. R., Welch, J., Chen, L. M., Chen, F., & Macosko, E. Z. (2019) · Science · doi:10.1126/science.aaw1219 · Cited by 2,424

Tracking the Evolution of Non–Small-Cell Lung Cancer

Jamal-Hanjani, M., Wilson, G. A., McGranahan, N., Birkbak, N. J., Watkins, T. B. K., Veeriah, S., Shafi, S., Johnson, D. H., Mitter, R., Rosenthal, R., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1616288 · Cited by 2,349

Concepts of extracellular matrix remodelling in tumour progression and metastasis

Winkler, J., Abisoye-Ogunniyan, A., Metcalf, K. J., & Werb, Z. (2020) · Nature Communications · doi:10.1038/s41467-020-18794-x · Cited by 2,296

Robust decomposition of cell type mixtures in spatial transcriptomics

Cable, D. M., Murray, E., Zou, L. S., Goeva, A., Macosko, E. Z., Chen, F., & Irizarry, R. A. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-00830-w · Cited by 1,487

The Integrative Human Microbiome Project

The Integrative HMP (iHMP) Research Network Consortium, Proctor, L. M., Creasy, H. H., Fettweis, J. M., Lloyd-Price, J., Mahurkar, A., Zhou, W., Buck, G. A., Snyder, M. P., Strauss, J. F., et al. (2019) · Nature · doi:10.1038/s41586-019-1238-8 · Cited by 1,381

Evolution and impact of subclonal mutations in chronic lymphocytic leukemia

Landau, D. A., Carter, S. L., Stojanov, P., McKenna, A., Stevenson, K., Lawrence, M. S., Sougnez, C., Stewart, C., Sivachenko, A., Wang, L., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.019 · Cited by 1,379

Advances in Spatial Omics Technologies

Hui, T., Zhou, J., Yao, M., Xie, Y., & Zeng, H. (2025) · Small Methods · doi:10.1002/smtd.202401171 · Cited by 18

Cochlear Development; New Tools and Approaches

Kelley, M. W. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.884240 · Cited by 20

Machine learning approaches for EGFR mutation status prediction in NSCLC: an updated systematic review

Haixian, L., Shu, P., Zhao, L., Chunfeng, L., & Lun, L. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1576461 · Cited by 19

Towards Post-Genomic Oncology: Embracing Cancer Complexity via Artificial Intelligence, Multi-Targeted Therapeutics, Drug Repurposing, and Innovative Study Designs

Mauro, A. D., Berretta, M., Santorsola, M., Ferrara, G., Picone, C., Savarese, G., & Ottaiano, A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26167723 · Cited by 19

Barcoded multiple displacement amplification for high coverage sequencing in spatial genomics

Kim, J., Kim, S., Yeom, H., Song, S. W., Shin, K., Bae, S., Ryu, H. S., Kim, J. Y., Choi, A., Lee, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41019-w · Cited by 16

Next-Generation Sequencing-Based Spatial Transcriptomics: A Perspective from Barcoding Chemistry

Shi, W., Zhang, J., Huang, S., Fan, Q., Cao, J., Zeng, J., Wu, L., & Yang, C. J. (2024) · JACS Au · doi:10.1021/jacsau.4c00118 · Cited by 17

Slide-tags: scalable, single-nucleus barcoding for multi-modal spatial genomicsPreprint

Russell, A. J. C., Weir, J. A., Nadaf, N. M., Shabet, M., Kumar, V., Kambhampati, S., Raichur, R., Marrero, G. J., Liu, S., Balderrama, K. S., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.01.535228 · Cited by 16

Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics

Huan, C., Li, J., Li, Y., Zhao, S., Yang, Q., Zhang, Z., Li, C., Li, S., Guo, Z., Yao, J., et al. (2024) · BME Frontiers · doi:10.34133/bmef.0084 · Cited by 17

Cancer subclone detection based on DNA copy number in single-cell and spatial omic sequencing data

Wu, C.-Y., Rong, J., Sathe, A., Hess, P. R., Lau, B. T., Grimes, S. M., Huang, S., Ji, H. P., & Zhang, N. R. (2025) · Nature Methods · doi:10.1038/s41592-025-02773-5 · Cited by 15

A Standardized and Reproducible Workflow for Membrane Glass Slides in Routine Histology and Spatial Proteomics

Nordmann, T. M., Schweizer, L., Metousis, A., Thielert, M., Rodriguez, E. H., Gjerdrum, L. M. R., Stadler, P., Bzorek, M., Mund, A., Rosenberger, F. A., et al. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100643 · Cited by 14

Unveiling contact-mediated cellular crosstalk

Kim, H., Kim, K.-E., Madan, E., Martin, P. C. N., Gogna, R., Rhee, H., & Won, K. (2024) · Trends in Genetics · doi:10.1016/j.tig.2024.05.010 · Cited by 13

Single‐cell and spatial omics unravel the spatiotemporal biology of tumour border invasion and haematogenous metastasis

Cheng, X., Cao, Y., Liu, X., Li, Y., Li, Q., Gao, D., & Yu, Q. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.70036 · Cited by 13

Softness or Stiffness What Contributes to Cancer and Cancer Metastasis?

Mierke, C. T. (2025) · Cells · doi:10.3390/cells14080584 · Cited by 14

Single‐Cell and Spatial Omics: Methods and Applications

Cen, X., Huang, X., Deng, E., Gong, X., Tan, N., Ye, J. T., Wang, Y., Eils, R., Luo, Q., Li, Y., et al. (2026) · MedComm · doi:10.1002/mco2.70713 · Cited by 14

Applicability of Spatial Technology in Cancer Research

Ahn, S., & Lee, H. S. (2024) · Cancer Research and Treatment · doi:10.4143/crt.2023.1302 · Cited by 14

Radiomics++: Review of Habitat Imaging Analysis for Decoding Tumor Heterogeneity

Wu, J., Xia, Y., Wang, X., Shi, F., & Shen, D. G. (2026) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-031825-040442 · Cited by 16

Applications of Single-Cell Sequencing Technology to the Enteric Nervous System

Guyer, R. A., Mueller, J. L., & Goldstein, A. M. (2022) · Biomolecules · doi:10.3390/biom12030452 · Cited by 12

DNA-GPS: A theoretical framework for optics-free spatial genomics and synthesis of current methods

Greenstreet, L., Afanassiev, A., Kijima, Y., Heitz, M., Ishiguro, S., King, S. B., Yachie, N., & Schiebinger, G. R. (2023) · Cell Systems · doi:10.1016/j.cels.2023.08.005 · Cited by 15

Technical Advances and Applications of Spatial Transcriptomics

Liang, G., Yin, H. Z., & Ding, F. (2023) · GEN Biotechnology · doi:10.1089/genbio.2023.0032 · Cited by 15

Systems immunology spanning tumors, lymph nodes, and periphery

Sidiropoulos, D. N., Ho, W. J., Jaffee, E. M., Kagohara, L. T., & Fertig, E. J. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100670 · Cited by 12

HAVOC: Small-scale histomic mapping of cancer biodiversity across large tissue distances using deep neural networks

Dent, A., Faust, K., Lam, K. H. B., Alhangari, N., Leon, A. J., Tsang, Q., Kamil, Z. S., Gao, A. F., Pal, P., Lheureux, S., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg1894 · Cited by 13

Single-cell lineage tracing with endogenous markers

Xue, Y., Su, Z., Lin, X., Ho, M. K., & Yu, K. H. O. (2024) · Biophysical Reviews · doi:10.1007/s12551-024-01179-5 · Cited by 11

Modelling the ageing dependence of cancer evolutionary trajectories

Henry, C. J., & DeGregori, J. V. (2025) · Nature reviews. Cancer · doi:10.1038/s41568-025-00838-3 · Cited by 14

An integrated genetic analysis of epileptogenic brain malformed lesions

Fujita, A., Kato, M., Sugano, H., Iimura, Y., Suzuki, H., Tohyama, J., Fukuda, M., Ito, Y., Baba, S., Okanishi, T., et al. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01532-x · Cited by 11

High-Throughput Identification, Modeling, and Analysis of Cancer Driver Genes In VivoPreprint

Tang, Y. J., Shuldiner, E. G., Karmakar, S., & Winslow, M. M. (2023) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041382 · Cited by 11

Giant Photoluminescence Enhancement of Ga‐Doped ZnO Microwires by X‐Ray Irradiation

He, S., Cao, S., Liu, Y., Chen, W., Lyu, P., Li, W., Bao, J., Sun, W., Kan, C., Jiang, M., et al. (2024) · Advanced Science · doi:10.1002/advs.202407144 · Cited by 10

Microbiome in cancer metastasis: biological insights and emerging spatial omics methods

Meyers, M., Stoffels, C., Frache, G., Letellier, E., & Feucherolles, M. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1559870 · Cited by 10

Myeloid Cell Classification and Therapeutic Opportunities Within the Glioblastoma Tumor Microenvironment in the Single Cell-Omics Era

Larkin, C. J., Arrieta, V. A., Najem, H., Li, G., Zhang, P., Miska, J. M., Chen, P., James, C. D., Sonabend, A. M., & Heimberger, A. B. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.907605 · Cited by 9

Prognostic/predictive markers in systemic therapy resistance and metastasis in breast cancer

Hobbs, E. A., Chen, N., Kuriakose, A., Bonefas, E., & Lim, B. (2022) · Therapeutic Advances in Medical Oncology · doi:10.1177/17588359221112698 · Cited by 10

A live-cell platform to isolate phenotypically defined subpopulations for spatial multi-omic profiling

Khatib, T. O., Amanso, A. M., Pedro, B. A., Knippler, C. M., Summerbell, E. R., Zohbi, N. M., Konen, J. M., Mouw, J. K., & Marcus, A. I. (2023) · PLoS ONE · doi:10.1371/journal.pone.0292554 · Cited by 10

Intra-prostatic tumour evolution, steps in metastatic spread and histogenomic associations revealed by integration of multi-region whole-genome sequencing with histopathological features

Rao, S. R., Verrill, C. L., Cerundolo, L., Alham, N. K., Kaya, Z., O’Hanlon, M., Hayes, A. A., Lambert, A. G., James, M., Tullis, I. D. C., et al. (2024) · Genome Medicine · doi:10.1186/s13073-024-01302-x · Cited by 10

Emerging methods and applications in 3D genomics

Pedrotti, S., Castiglioni, I., Estrada, C. P., Zhao, L., Chen, J., Crosetto, N., & Bienko, M. (2024) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2024.102409 · Cited by 10

Emerging Roles of Spatial Transcriptomics in Liver Research

Fujiwara, N., Kimura, G., & Nakagawa, H. (2024) · Seminars in Liver Disease · doi:10.1055/a-2299-7880 · Cited by 12

Alignment of spatial genomics and histology data using deep Gaussian processesPreprint

Jones, A., Townes, F. W., Li, D., & Engelhardt, B. E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.10.475692 · Cited by 9

SpatialDeX Is a Reference-Free Method for Cell-Type Deconvolution of Spatial Transcriptomics Data in Solid Tumors

Liu, X., Tang, G., Chen, Y., Li, Y., Li, H., & Wang, X. (2025) · Cancer Research · doi:10.1158/0008-5472.can-24-1472 · Cited by 8

Recent advancement in the spatial immuno-oncology

To, A., Zou, Y., & Sugimura, R. (2024) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2024.12.003 · Cited by 8

Mapping biology in space: from spatial transcriptomics platforms to analytical tools and databases

Guo, Z., Wu, R., Li, W., Yang, K., Ying, X., Alinejad-Rokny, H., & Ye, Y. (2026) · 中国科学通报：英文版 · doi:10.1016/j.scib.2026.01.034 · Cited by 12

Insights into Neurodegeneration in Parkinson's Disease from Single‐Cell and Spatial Genomics

Kamath, T., & Macosko, E. Z. (2023) · Movement Disorders · doi:10.1002/mds.29374 · Cited by 7

What can we learn about acid-base transporters in cancer from studying somatic mutations in their genes?

White, B., & Swietach, P. (2023) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-023-02876-y · Cited by 8

Seq-Scope-eXpanded: spatial omics beyond optical resolution

Anacleto, A., Cheng, W., Feng, Q., Park, A., Cho, C., Hwang, Y., Kim, Y., Si, Y., Hsu, J.-E., Zhao, Q., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-69346-8 · Cited by 11

Advances in Spatial Multi-Omics in Gastric Cancer

Yan, H., & Liu, Y. (2026) · Cells · doi:10.3390/cells15060535 · Cited by 7

Phenotypic maps for precision medicine: a promising systems biology tool for assessing therapy response and resistance at a personalized level

Bhattacharyya, S., Ehsan, S., & Karacosta, L. G. (2023) · Frontiers in Network Physiology · doi:10.3389/fnetp.2023.1256104 · Cited by 7

Single-cell RNA-Seq Elucidates the Crosstalk Between Cancer Stem Cells and the Tumor Microenvironment in Hepatocellular Carcinoma

Lin, S., Li, D., Yang, Y., Yu, M., Zhao, R., Li, J., & Peng, L. (2024) · Journal of Cancer · doi:10.7150/jca.92185 · Cited by 8

SOmicsFusion: Multimodal coregistration and fusion between spatial metabolomics and biomedical imaging

Guo, A., Chen, Z., Ma, Y., Lv, Y., Yan, H., Li, F., Xing, Y., Luo, Q., & Zheng, H. (2024) · Artificial Intelligence Chemistry · doi:10.1016/j.aichem.2024.100058 · Cited by 7

A universal sequencing read interpreter

Kijima, Y., Evans-Yamamoto, D., Toyoshima, H., & Yachie, N. (2023) · Science Advances · doi:10.1126/sciadv.add2793 · Cited by 8

A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data

Ospina, O. E., Soupir, A. C., & Fridley, B. L. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-2986-4_7 · Cited by 8

An information theoretic approach to detecting spatially varying genes

Jones, D. C., Danaher, P. J., Kim, Y., Beechem, J., Gottardo, R., & Newell, E. W. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100507 · Cited by 9

In Situ Spatial Reconstruction of Distinct Normal and Pathological Cell Populations Within the Human Adrenal Gland

Fu, R., Walters, K., Kaufman, M. L., Koc, K. N., Baldwin, A., Clay, M. R., Basham, K. J., Kiseljak‐Vassiliades, K., Fishbein, L. M., & Mukherjee, N. (2023) · Journal of the Endocrine Society · doi:10.1210/jendso/bvad131 · Cited by 7

The Evolution of Mouse Models of Cancer: Past, Present, and FuturePreprint

Abate-Shen, C. T., & Politi, K. A. (2024) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041736 · Cited by 7

Epigenomic tomography for probing spatially defined chromatin state in the brain

Liu, Z., Deng, C., Zhou, Z., Xiao, Y., Jiang, S., Zhu, B., Naler, L. B., Jia, X., Yao, D. D., & Lu, C. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100738 · Cited by 6

Advances in spatial multi-omics in tumors

Wang, J., Alhaskawi, A., Dong, Y., Tian, T., Abdalbary, S. A., & Lü, H. (2024) · Tumori Journal · doi:10.1177/03008916241271458 · Cited by 6

Emerging Techniques in Spatial Multiomics: Fundamental Principles and Applications to Dermatology

Jia, B. B., Sun, B. K., Lee, E. Y., & Ren, B. (2024) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2024.09.006 · Cited by 8

Spatial Transcriptomics to Study Virus-Host Interactions

Holdener, C., Jiang, S., Sutherland, D. M., Griswold, K. A., Dermody, T. S., Parker, J. S. L., & Vlaminck, I. D. (2025) · Annual Review of Virology · doi:10.1146/annurev-virology-092623-104926 · Cited by 8

-Omics approaches to study and model cell-cell interactions in engineered tissues

Stark, C., Jenison, S. E., & Ngo, M. T. (2025) · Frontiers in Chemical Engineering · doi:10.3389/fceng.2025.1629455 · Cited by 7

CNAScope: pan-cancer copy number aberration database with functional annotation and interactive visualization

Feng, X., Zheng, J., Peng, S., Jiang, A., Ng, K., Lyu, C., Jin, Q., & Chen, L. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1242 · Cited by 8

Spatially resolved profiling of extracellular vesicles in tissues with Spatial-EV-seq

Wen, Q., Xing, N., Lu, Y., Zhang, Q., Zha, Z., Zhao, H., Zhang, G.-B., Wu, Q., Liu, X. Y., Zhu, Z., et al. (2026) · Nature Biotechnology · doi:10.1038/s41587-026-03192-3 · Cited by 6

Answering open questions in biology using spatial genomics and structured methods

Jena, S. G., Verma, A., & Engelhardt, B. E. (2024) · BMC Bioinformatics · doi:10.1186/s12859-024-05912-5 · Cited by 7

Concepts of multi-level dynamical modelling: understanding mechanisms of squamous cell carcinoma development in Fanconi anemia

Velleuer, E., Domínguez‐Hüttinger, E., Rodríguez, A., Harris, L. A., & Carlberg, C. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1254966 · Cited by 7

Exploring the structure, metabolism, and biochemistry of the neuronal microenvironment label-free using fast simultaneous multimodal optical microscopy

Iyer, R. R., Sorrells, J. E., Yang, L., Renteria, C. A., Chaney, E. J., Tehrani, K. F., Spillman, D. R., & Boppart, S. A. (2024) · Optica · doi:10.1364/optica.532367 · Cited by 5

SpatialSNV: A novel method for identifying and analyzing spatially resolved SNVs in tumor microenvironments

Liu, Y., Zhu, F., Li, X., Guan, X., Hou, Y., Feng, Y., Dong, X., & Li, Y. (2025) · GigaScience · doi:10.1093/gigascience/giaf065 · Cited by 5

Spatially resolving cancer: from cell states to therapy

Pei, G., Liu, Y., & Wang, L. (2025) · Trends in cancer · doi:10.1016/j.trecan.2025.09.002 · Cited by 7

Spatial multi-omics technologies in gastric cancer: applications and advances

Liu, Q. Y., Liu, H., Lv, J., Li, J., Du, G., Qiu, W., & Wang, S. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1767512 · Cited by 6

Recent Innovations and Technical Advances in High‐Throughput Parallel Single‐Cell Whole‐Genome Sequencing Methods

Qiao, Y., Cheng, T., Miao, Z., Cui, Y., & Tu, J. (2024) · Small Methods · doi:10.1002/smtd.202400789 · Cited by 5

scTML: a pan-cancer single-cell landscape of multiple mutation types

Li, H., Ma, T., Zhao, Z., Chen, Y., Xi, X., Zhao, X., Zhou, X., Gao, Y., Wei, L., & Zhang, X. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae898 · Cited by 5

Toward a systems-level probing of tumor clonality

Grody, E. I., Abraham, A., Shukla, V., & Goyal, Y. (2023) · iScience · doi:10.1016/j.isci.2023.106574 · Cited by 5

Mitochondrial clone tracing within spatially intact human tissuesPreprint

Bracht, S. A., Rong, J., Gier, R. A., DeMarshall, M., Golden, H., Dhakal, D., McDevitt, J. C., Mo, F., Furth, E. E., Strauss, A. L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.11.664452 · Cited by 6

SlideCNA: spatial copy number alteration detection from Slide-seq-like spatial transcriptomics data

Zhang, D., Segerstolpe, Å., Slyper, M., Waldman, J., Murray, E. M., Strasser, R., Watter, J., Cohen, O., Ashenberg, O., Abravanel, D. L., et al. (2025) · Genome biology · doi:10.1186/s13059-025-03573-y · Cited by 5

Computational approaches for multimodal lineage tracing

Wang, K., He, X., & Hu, Z. (2026) · Nature Reviews Genetics · doi:10.1038/s41576-026-00969-9 · Cited by 7

mNSF: multi-sample non-negative spatial factorization

Wang, Y., Woyshner, K., Sriworarat, C., Stein-O’Brien, G., Goff, L. A., & Hansen, K. D. (2025) · Genome biology · doi:10.1186/s13059-025-03601-x · Cited by 5

Spatially resolved DNA sequencing

Tang, L. (2022) · Nature Methods · doi:10.1038/s41592-022-01405-6 · Cited by 4

“Patchiness” in mechanical stiffness across a tumor as an early-stage marker for malignancy

Mirzakhel, Z., Reddy, G. A., Boman, J., Manns, B., ter Veer, S., & Katira, P. (2024) · BMC Ecology and Evolution · doi:10.1186/s12862-024-02221-6 · Cited by 4

Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology

Kramer, C. J. H., Vreeswijk, M. P. G., Thijssen, B., Bosse, T., & Wesseling, J. (2022) · The Journal of Pathology · doi:10.1002/path.5915 · Cited by 5

The 3D genome landscape: Diverse chromosomal interactions and their functional implications

Fleck, K., Raj, R., & Erceg, J. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.968145 · Cited by 4

HSCGD: a comprehensive database of single-cell whole-genome data and metadata

Fu, J., He, S., Yang, Y., Chen, Z., Qiao, Y., Lü, N., Lu, Z., & Tu, J. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae971 · Cited by 4

Evolutionary fingerprints of EMT in pancreatic cancersPreprint

Perelli, L., Zhang, L., Mangiameli, S. M., Russell, A. J. C., Giannese, F., Peng, F., Carbone, F., Le, C. N., Khan, H., Citron, F., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.18.558231 · Cited by 4

What spatial omics is teaching us about field cancerisation in prostate and bladder cancer

Byrne, M. H. V., Anbarasan, T., Browning, L., & Woodcock, D. J. (2025) · British Journal of Urology · doi:10.1111/bju.16830 · Cited by 6

Spatial multi-omics technologies and applications in cancer

Ji, L. (2025) · Biosystems · doi:10.1016/j.biosystems.2025.105576 · Cited by 3

Multi-Omics Meets Premalignancy: Paving the Way for Early Prevention of Cancer

Zhang, F., Zhou, Z., Zhang, P., & Li, S. (2025) · Research · doi:10.34133/research.0930 · Cited by 4

Immune snapshots along the inflammation-to-cancer road in bladder urothelium

Lu, L., Wang, F., Wang, Z., Guo, S., Jiang, M., & Ma, Z. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1685237 · Cited by 3

3D pathology-guided microdissection

Hsieh, H.-C., Gao, G., Han, Q., Brenes, D., Baraznenok, E., Yan, R., Serafin, R., Bishop, K. W., Wang, R., Konnick, E. Q., et al. (2026) · Nature Methods · doi:10.1038/s41592-026-03141-7 · Cited by 3

Unveiling hidden players: the role of intratumoral microbiota in gastrointestinal cancer dynamics

Tang, W., Li, F., Zheng, H., Zhou, S., Li, C., Xu, X., & Fu, J. (2025) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-025-06401-9 · Cited by 5

Toward Graph-Based Decoding of Tumor Evolution: Spatial Inference of Copy Number Variations

Zhang, Y., Yang, Y., Kong, Y., Zhong, B., Nakai, K., & Lu, H. (2025) · Diagnostics · doi:10.3390/diagnostics15243169 · Cited by 3

Redefining Pathobiology with Spatial Multi-Omics at the Intersection of Biology, Computation, and Histopathological Assessment

Agrawal, A., & Thomann, S. (2026) · American Journal Of Pathology · doi:10.1016/j.ajpath.2026.01.007 · Cited by 4

Spatial tumor evolution panorama of ovarian cancer

Feng, C., Yang, Y., Li, G., Fang, Z., Yang, B., Zhao, F., Chen, X., Liu, S., Wu, D., Hu, X., et al. (2026) · Cell Reports Medicine · doi:10.1016/j.xcrm.2026.102666 · Cited by 4

Deciphering the spatiotemporal transcriptional landscape of intestinal diseases (Review)

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Trends and Challenges of the Modern Pathology Laboratory for Biopharmaceutical Research Excellence

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