Delineating the early dissemination mechanisms of acral melanoma by integrating single-cell and spatial transcriptomic analyses
Open accessAbstract
Acral melanoma (AM) is a rare subtype of melanoma characterized by a high incidence of lymph node (LN) metastasis, a critical factor in tumor dissemination and therapeutic decision-making. Here, we employ single-cell and spatial transcriptomic analyses to investigate the dynamic evolution of early AM dissemination. Our findings reveal substantial inter- and intra-tumor heterogeneity in AM, alongside a highly immunosuppressive tumor microenvironment and complex intercellular communication networks, particularly in patients with LN metastasis. Notably, we identify a strong association between MYC+ Melanoma (MYC+MEL) and FGFBP2+NKT cells with LN metastasis. Furthermore, we demonstrate that LN metastasis requires a metabolic shift towards fatty acid oxidation (FAO) induced by MITF in MYC+MEL cells. Etomoxir, a clinically approved FAO inhibitor, can effectively suppress MITF-mediated LN metastasis. This comprehensive dataset enhances our understanding of LN metastasis in AM, and provides insights into the potential therapeutic targeting for the management of early AM dissemination.
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Cites
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453 · see citing works
GSVA: gene set variation analysis for microarray and RNA-Seq data
Hänzelmann, S., Castelo, R., & Guinney, J. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-7 · Cited by 15,440 · see citing works
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · see citing works
Inference and analysis of cell-cell communication using CellChat
Jin, S., Guerrero-Juarez, C. F., Zhang, L., Chang, I., Ramos, R., Kuan, C.-H., Myung, P., Plikus, M. V., & Nie, Q. (2021) · Nature Communications · doi:10.1038/s41467-021-21246-9 · Cited by 8,409 · see citing works
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314 · see citing works
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520 · see citing works
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521 · see citing works
La Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118 · see citing works
Genomic classification of cutaneous melanoma
Akbani, R., Akdemir, K. C., Aksoy, B. A., Albert, M., Ally, A., Amin, S. B., Arachchi, H., Arora, A., Auman, J. T., Ayala, B., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.044 · Cited by 3,151 · see citing works
Self-citationPuram, S. V., Tirosh, I., Parikh, A. S., Patel, A. P., Yizhak, K., Gillespie, S., Rodman, C., Luo, C. L., Mroz, E. A., Emerick, K. S., et al. (2017) · Cell · doi:10.1016/j.cell.2017.10.044 · Cited by 2,557 · see citing works
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
Azizi, E., Carr, A. J., Plitas, G., Cornish, A. E., Konopacki, C., Prabhakaran, S., Nainys, J., Wu, K., Kiseliovas, V., Setty, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.060 · Cited by 1,976 · see citing works
Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma
Zhang, Q., He, Y., Luo, N., Patel, S. J., Han, Y., Gao, R., Modak, M., Carotta, S., Haslinger, C., Kind, D., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.003 · Cited by 1,624 · see citing works
Garraway, L. A., Widlund, H. R., Rubin, M. A., Getz, G., Berger, A. J., Ramaswamy, S., Beroukhim, R., Milner, D. A., Granter, S. R., Du, J., et al. (2005) · Nature · doi:10.1038/nature03664 · Cited by 1,548 · see citing works
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 · see citing works
Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma
Ji, A. L., Rubin, A. J., Thrane, K., Jiang, S., Reynolds, D. L., Meyers, R. M., Guo, M. G., George, B. M., Mollbrink, A., Bergenstråhle, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.039 · Cited by 1,117 · see citing works
Qi, J., Sun, H., Zhang, Y., Wang, Z., Xun, Z., Li, Z., Ding, X., Bao, R., Hong, L., Jia, W., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29366-6 · Cited by 983 · see citing works
Self-citationChen, Z., Zhou, L., Liu, L., Hou, Y., Xiong, M., Yang, Y., Hu, J., & Chen, K. (2020) · Nature Communications · doi:10.1038/s41467-020-18916-5 · Cited by 694 · see citing works
Self-citationSpatially informed cell-type deconvolution for spatial transcriptomics
Ma, Y., & Zhou, X. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01273-7 · Cited by 515 · see citing works
Small-Molecule MYC Inhibitors Suppress Tumor Growth and Enhance Immunotherapy
Han, H., Jain, A. D., Truica, M. I., Izquierdo-Ferrer, J., Anker, J. F., Lysy, B., Sagar, V., Luan, Y., Chalmers, Z. R., Unno, K., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.10.001 · Cited by 461 · see citing works
Tumor metastasis to lymph nodes requires YAP-dependent metabolic adaptation
Lee, C., Jeong, S., Jang, C., Bae, H., Kim, Y. H., Park, I., Kim, S. K., & Koh, G. Y. (2019) · Science · doi:10.1126/science.aav0173 · Cited by 405 · see citing works
Lymph node colonization induces tumor-immune tolerance to promote distant metastasis
Reticker-Flynn, N. E., Zhang, W., Belk, J. A., Basto, P. A., Escalante, N. K., Pilarowski, G. O. W., Bejnood, A., Martins, M. M., Kenkel, J. A., Linde, I. L., et al. (2022) · Cell · doi:10.1016/j.cell.2022.04.019 · Cited by 393 · see citing works
Chi, Z., Li, S., Sheng, X., Si, L., Cui, C., Han, M., & Guo, J. (2011) · BMC Cancer · doi:10.1186/1471-2407-11-85 · Cited by 386 · see citing works
Zhu, G., Tang, Z., Huang, R., Qu, W., Fang, Y., Yang, R., Tao, C., Gao, J., Wu, X., Sun, H., et al. (2023) · Cell Discovery · doi:10.1038/s41421-023-00529-z · Cited by 340 · see citing works
Self-citationGrundy, J. E., Super, M., Sweny, P., et al. (1988) · The Lancet · doi:10.1016/s0140-6736(88)90685-x · Cited by 314 · see citing works
Sumaiya, K., Langford, D., Natarajaseenivasan, K., & Shanmughapriya, S. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.108024 · Cited by 306 · see citing works
Alignment and integration of spatial transcriptomics data
Zeira, R., Land, M., Strzalkowski, A., & Raphael, B. J. (2022) · Nature Methods · doi:10.1038/s41592-022-01459-6 · Cited by 298 · see citing works
European consensus-based interdisciplinary guideline for melanoma. Part 2: Treatment - Update 2022
Garbe, C., Amaral, T. M. S., Peris, K., Hauschild, A., Arenberger, P., Basset‐Séguin, N., Bastholt, L., Bataille, V. A., del Mármol, V., Dréno, B., et al. (2022) · European Journal of Cancer · doi:10.1016/j.ejca.2022.04.018 · Cited by 292 · see citing works
Fatty acid oxidation fuels glioblastoma radioresistance with CD47-mediated immune evasion
Jiang, N., Xie, B., Xiao, W., Fan, M., Xu, S., Duan, Y., Hamsafar, Y., Evans, A. C., Huang, J., Zhou, W., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29137-3 · Cited by 265 · see citing works
Chéli, Y., Guiliano, S., Botton, T., Rocchi, S., Hofman, V., Hofman, P. M., Bahadoran, P., Bertolotto, C., & Ballotti, R. (2011) · Oncogene · doi:10.1038/onc.2010.598 · Cited by 231 · see citing works
Melanoma subtypes: genomic profiles, prognostic molecular markers and therapeutic possibilities
Rabbie, R., Ferguson, P. M., Molina‐Aguilar, C., Adams, D. J., & Robles‐Espinoza, C. D. (2018) · The Journal of Pathology · doi:10.1002/path.5213 · Cited by 219 · see citing works
Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma
Ji, A. L., Rubin, A. J., Thrane, K., Jiang, S., Reynolds, D. L., Meyers, R. M., Guo, M. G., George, B. M., Mollbrink, A., Bergenstråhle, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.043 · Cited by 215 · see citing works
Cirenajwis, H., Ekedahl, H., Lauss, M., Harbst, K., Carneiro, A., Enoksson, J., Rosengren, F., Hartman, L. W., Törngren, T., Kvist, A., et al. (2015) · Oncotarget · doi:10.18632/oncotarget.3655 · Cited by 195 · see citing works
Whole-genome sequencing of acral melanoma reveals genomic complexity and diversity
Newell, F., Wilmott, J. S., Johansson, P. A., Nones, K., Addala, V., Mukhopadhyay, P., Broit, N., Amato, C. M., Gulick, R. J. V., Kazakoff, S. H., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18988-3 · Cited by 184 · see citing works
Song, G., Shi, Y., Zhang, M., Goswami, S., Afridi, S., Meng, L., Ma, J., Chen, Y., Lin, Y., Zhang, J., et al. (2020) · Cell Discovery · doi:10.1038/s41421-020-00214-5 · Cited by 175 · see citing works
Self-citationSun, K., Xu, R., Ma, F., Yang, N., Li, Y., Sun, X., Jin, P., Kang, W., Jia, L., Xiong, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32627-z · Cited by 163 · see citing works
Self-citationWei, C., Zhu, M.-X., Yang, Y., et al. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0711-z · Cited by 162 · see citing works
Self-citationA single-cell analysis reveals tumor heterogeneity and immune environment of acral melanoma
Zhang, C., Shen, H., Yang, T., Li, T., Liu, X., Wang, J., Liao, Z., Wei, J., Lu, J., Liu, H., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34877-3 · Cited by 150 · see citing works
Self-citationNakamura, Y., Namikawa, K., Yoshino, K., Yoshikawa, S., Uchi, H., Goto, K., Nakamura, Y., Fukushima, S., Kiniwa, Y., Takenouchi, T., et al. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.05.031 · Cited by 142 · see citing works
Human melanocyte development and melanoma dedifferentiation at single-cell resolution
Belote, R. L., Le, D., Maynard, A., Lang, U. E., Sinclair, A. W., Lohman, B. K., Planells-Palop, V., Baskin, L. S., Tward, A. D., Darmanis, S., et al. (2021) · Nature Cell Biology · doi:10.1038/s41556-021-00740-8 · Cited by 135 · see citing works
Midkine drives cardiac inflammation by promoting neutrophil trafficking and NETosis in myocarditis
Weckbach, L. T., Grabmaier, U., Uhl, A., Gess, S., Boehm, F., Zehrer, A., Pick, R., Salvermoser, M., Czermak, T., Pircher, J., et al. (2019) · The Journal of Experimental Medicine · doi:10.1084/jem.20181102 · Cited by 131 · see citing works
Koolstra, J. H., & van Eijden, T. M. G. J. (1992) · Journal of Biomechanics · doi:10.1016/0021-9290(92)90274-5 · Cited by 117 · see citing works
Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
Long, Z., Sun, C., Tang, M., Wang, Y., Ma, J., Yu, J., Wei, J., Ma, J., Wang, B., Xie, Q., et al. (2022) · Cell Discovery · doi:10.1038/s41421-022-00415-0 · Cited by 109 · see citing works
Li, J., Smalley, I., Chen, Z., Wu, J.-Y., Phadke, M. S., Teer, J. K., Nguyen, T., Karreth, F. A., Koomen, J. M., Sarnaik, A. A., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-3145 · Cited by 106 · see citing works
Self-citationOkoye, I., Xu, L., Motamedi, M., Parashar, P., Walker, J. W. T., & Elahi, S. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-001849 · Cited by 81 · see citing works
NK and NKT cells have distinct properties and functions in cancer
Liu, X., Li, L., Si, F., Huang, L., Zhao, Y., Zhang, C., Hoft, D. F., & Peng, G. (2021) · Oncogene · doi:10.1038/s41388-021-01880-9 · Cited by 78 · see citing works
A comprehensive comparison on cell-type composition inference for spatial transcriptomics data
Chen, J., Liu, W., Luo, T., Yu, Z., Jiang, M.-Z., Wen, J., Gupta, G. P., Giusti‐Rodríguez, P., Hongtu Zhu, B., Yang, Y., et al. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac245 · Cited by 76 · see citing works
Self-citationRodig, S. J., Ouyang, J., Juszczyński, P., Currie, T., Law, K., Neuberg, D. S., Rabinovich, G. A., Shipp, M. A., & Kutok, J. L. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-4709 · Cited by 73 · see citing works
Garbe, C., Keim, U., Suciu, S., Amaral, T. M. S., Eigentler, T., Gesierich, A., Hauschild, A., Heinzerling, L., Kiecker, F., Schadendorf, D., et al. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.19.03034 · Cited by 72 · see citing works
Chen, P., Tang, S., Li, M., Wang, D., Chen, C., Qiu, Y., Fang, Z., Zhang, H., Gao, H., Weng, H., et al. (2022) · Advanced Science · doi:10.1002/advs.202204786 · Cited by 62 · see citing works
Translational pathology, genomics and the development of systemic therapies for acral melanoma
Chen, Y. A., Teer, J. K., Eroglu, Z., Wu, J.-Y., Koomen, J. M., Karreth, F. A., Messina, J. L., & Smalley, K. S. M. (2019) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2019.10.017 · Cited by 60 · see citing works
Self-citationFarshidfar, F., Rhrissorrakrai, K., Levovitz, C., Peng, C., Knight, J., Bacchiocchi, A., Su, J., Yin, M., Sznol, M., Ariyan, S., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28566-4 · Cited by 58 · see citing works
Clinical Value of the Sentinel-Node Biopsy in Primary Cutaneous Melanoma
Balch, C. M., & Gershenwald, J. E. (2014) · New England Journal of Medicine · doi:10.1056/nejme1313690 · Cited by 48 · see citing works
Galectin-9 blockade synergizes with ATM inhibition to induce potent anti-tumor immunity
Zheng, S., Song, J., Linghu, D., Yang, R., Liu, B., Xue, Z., Chen, Q., Liu, C., Zhong, D., Hung, M., et al. (2023) · International Journal of Biological Sciences · doi:10.7150/ijbs.79852 · Cited by 37 · see citing works
Self-citationYaddanapudi, K., Stamp, B. F., Subrahmanyam, P. B., Smolenkov, A., Waigel, S. J., Gosain, R., Egger, M. E., Martin, R. C. G., Buscaglia, R., Maecker, H. T., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-0664 · Cited by 32 · see citing works
Copy Number Alterations as Novel Biomarkers and Therapeutic Targets in Colorectal Cancer
Tan, E. S., Knepper, T. C., Wang, X., Permuth, J. B., Wang, L., Fleming, J. B., & Xie, H. (2022) · Cancers · doi:10.3390/cancers14092223 · Cited by 30 · see citing works
Self-citationA Mutational Survey of Acral Nevi
Smalley, K. S. M., Teer, J. K., Chen, Y. A., Wu, J.-Y., Yao, J., Koomen, J. M., Chen, W.-S., Rodriguez‐Waitkus, P., Karreth, F. A., & Messina, J. L. (2021) · JAMA Dermatology · doi:10.1001/jamadermatol.2021.0793 · Cited by 26 · see citing works
Self-citationYang, J., Xu, Y., Xie, K., Gao, L., Zhong, W., & Liu, X. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.991797 · Cited by 25 · see citing works
Self-citationBlaha, J., Skálová, T., Kalousková, B., Skořepa, O., Cmunt, D., Grobárová, V., Pažický, S., Poláchová, E., Abreu, C., Stránský, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32577-6 · Cited by 23 · see citing works
Liu, Z., Chen, K., Dai, J., Xu, P. H., Sun, W. D., Liu, W., Zhao, Z., Bennett, S. P., Li, P., Ma, T., et al. (2023) · Cell Research · doi:10.1038/s41422-022-00744-5 · Cited by 23 · see citing works
Self-citationMelanoma genomics: a state‐of‐the‐art review of practical clinical applications*
Guhan, S. M., Klebanov, N., & Tsao, H. (2021) · British Journal of Dermatology · doi:10.1111/bjd.20421 · Cited by 21 · see citing works
Virgilio, T., Bordini, J., Cascione, L., Sartori, G., Latino, I., Romero, D. M., Leoni, C., Akhmedov, M., Rinaldi, A., Arribas, A. J., et al. (2022) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-22-0225 · Cited by 20 · see citing works
RELA tunes innate-like interferon I/III responses in human T cells
Jeremiah, N., Ferran, H., Antoniadou, K., de Azevedo, K., Nikolić, J., Maurin, M., Benaroch, P., & Manel, N. (2023) · The Journal of Experimental Medicine · doi:10.1084/jem.20220666 · Cited by 17 · see citing works
Treatments and associated outcomes of acral lentiginous melanoma: A review
Lobl, M. B., Santos, C., Clarey, D. D., et al. (2019) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2019.11.021 · Cited by 12 · see citing works
3D reconstruction of spatial expression
Lin, Y., & Yang, J. Y. H. (2022) · Nature Methods · doi:10.1038/s41592-022-01476-5 · Cited by 11 · see citing works
Rhodin, K. E., Fimbres, D. P., Burner, D. N., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1021057 · Cited by 11 · see citing works
A comprehensive comparison on cell type composition inference for spatial transcriptomics dataPreprint
Chen, J. C., Liu, W., Luo, T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.20.481171 · Cited by 10 · see citing works
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Endothelial Pim3 kinase protects the vascular barrier during lung metastasis
Santio, N. M., Ganesh, K., Kaipainen, P. P., Halme, A., Seyednasrollah, F., Arbash, E., Hänninen, S., Kivelä, R., Carpen, O., & Saharinen, P. (2024) · Nature Communications · doi:10.1038/s41467-024-54445-1 · Cited by 9 · see citing works
- Authors
- Wei, C., Sun, W., Shen, K., Zhong, J., Liu, W., Gao, Z., Xu, Y., Wang, L., Hu, T., Ren, M., Li, Y., Zhu, Y., Zheng, S., Zhu, M., Luo, R., Yang, Y., Hou, Y., Qi, F., Zhou, Y., Chen, Y., & Gu, J.
- Affiliations
- Fudan University (CN)
- Shanghai Medical College of Fudan University (CN)
- Corresponding author
- Zhou, Yuhong
- Chen, Yong
- Gu, Jianying
- ORCID
- Venue
- Nature Communications
- Published
- 2023-12-08
- Volume
- 14
- Issue
- 1
- Pages
- 8119-8119
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10709603
- OpenAlex
- W4389481108
- Cited by
- 49
- References
- 66
- Citations by year
- 2026: 20 · 2025: 19 · 2024: 10
- FWCI
- 5.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (82272891, 81972559, 82203528)
- Shanghai Shenkang Hospital Development Centre Project
- China Postdoctoral Science Foundation (2022M710769, 2022TQ0072)
- Shanghai Sailing Program
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
- Keywords
- acral melanoma, lymph node metastasis, metastasis, tumor heterogeneity, immunosuppressive tumor microenvironment, intercellular communication, fatty acid oxidation, MITF, etomoxir, metabolic reprogramming
- MeSH terms
- Humans, Lymphatic Metastasis, Melanoma, Skin Neoplasms, Gene Expression Profiling, Tumor Microenvironment, Transcriptome
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