Cancer cells deploy lipocalin-2 to collect limiting iron in leptomeningeal metastasis.
Open accessAbstract
The tumor microenvironment plays a critical regulatory role in cancer progression, especially in central nervous system metastases. Cancer cells within the cerebrospinal fluid (CSF)-filled leptomeninges face substantial microenvironmental challenges, including inflammation and sparse micronutrients. To investigate the mechanism by which cancer cells in these leptomeningeal metastases (LM) overcome these constraints, we subjected CSF from five patients with LM to single-cell RNA sequencing. We found that cancer cells, but not macrophages, within the CSF express the iron-binding protein lipocalin-2 (LCN2) and its receptor SCL22A17. These macrophages generate inflammatory cytokines that induce cancer cell LCN2 expression but do not generate LCN2 themselves. In mouse models of LM, cancer cell growth is supported by the LCN2/SLC22A17 system and is inhibited by iron chelation therapy. Thus, cancer cells appear to survive in the CSF by outcompeting macrophages for iron.
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scRNAseq analysis done on tumor cells isolated from the leptomeninges of patients with metastatic growth showed high expression of the iron-binding protein lipocalin-2 (Lcn2) and its receptor SLC22A17, and Lcn2 expression, which is induced by macrophage cytokine release, allows tumor cells to grow more effectively in the low nutrient CSF environment.
“scRNAseq analysis done on tumor cells isolated from the leptomeninges of patients with metastatic growth showed high expression of the iron-binding protein lipocalin-2 (Lcn2) its receptor SLC22A17”
From Living on the Edge of the CNS: Meninges Cell Diversity in Health and Disease (2021) · cites this paper as Chi et al., 2020
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
Mootha, V. K., Lindgren, C. M., Eriksson, K.-F., Subramanian, A., Sihag, S., Lehar, J., Puigserver, P., Carlsson, E., Ridderstråle, M., Laurila, E., et al. (2003) · Nature Genetics · doi:10.1038/ng1180 · Cited by 10,197 · see citing works
Exploring the full spectrum of macrophage activation
Mosser, D. M., & Edwards, J. P. (2008) · Nature Reviews Immunology · doi:10.1038/nri2448 · Cited by 9,144 · see citing works
SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881 · see citing works
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
McInnes, L., Healy, J., & Melville, J. (2018) · arXiv · doi:10.48550/arxiv.1802.03426 · Cited by 7,101 · see citing works
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944 · see citing works
Finak, G., McDavid, A., Yajima, M., Deng, J., Gersuk, V., Shalek, A. K., Slichter, C. K., Miller, H. W., McElrath, M. J., Prlic, M., et al. (2015) · Genome Biology · doi:10.1186/s13059-015-0844-5 · Cited by 3,159 · see citing works
Macrophages: Obligate Partners for Tumor Cell Migration, Invasion, and Metastasis
Condeelis, J. S., & Pollard, J. W. (2006) · Cell · doi:10.1016/j.cell.2006.01.007 · Cited by 2,693 · see citing works
Nemeth, E., Rivera, S., Gabayan, V., Keller, C., Taudorf, S., Pedersen, B. K., & Ganz, T. (2004) · Journal of Clinical Investigation · doi:10.1172/jci200420945 · Cited by 2,650 · see citing works
Identification of a unique TGF-β–dependent molecular and functional signature in microglia
Butovsky, O., Jedrychowski, M. P., Moore, C. S., Cialic, R., Lanser, A. J., Gabriely, G., Koeglsperger, T., Dake, B., Wu, P. M., Doykan, C. E., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3599 · Cited by 2,543 · see citing works
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Haghverdi, L., Lun, A. T. L., Morgan, M. D., & Marioni, J. C. (2018) · Nature Biotechnology · doi:10.1038/nbt.4091 · Cited by 2,416 · see citing works
Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis
Levine, J. H., Simonds, E. F., Bendall, S. C., Davis, K. L., Amir, E.-A. D., Tadmor, M. D., Litvin, O., Fienberg, H. G., Jager, A., Zunder, E. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.047 · Cited by 2,303 · see citing works
Self-citationMills, E. L., Kelly, B., Logan, A., Costa, A. S. H., Varma, M., Bryant, C. E., Tourlomousis, P., Däbritz, J. H. M., Gottlieb, E., Latorre, I., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.064 · Cited by 2,291 · see citing works
Cytokines and chemokines: At the crossroads of cell signalling and inflammatory disease
Turner, M. D., Nedjai, B., Hurst, T. P., & Pennington, D. J. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2014.05.014 · Cited by 2,186 · 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
Self-citationLipocalin 2 mediates an innate immune response to bacterial infection by sequestrating iron
Flo, T. H., Smith, K. D., Sato, S., Rodriguez, D. J., Holmes, M. A., Strong, R. K., Akira, S., & Aderem, A. (2004) · Nature · doi:10.1038/nature03104 · Cited by 1,877 · see citing works
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
van Dijk, D., Sharma, R., Nainys, J., Yim, K., Kathail, P., Carr, A. J., Burdziak, C., Moon, K. R., Chaffer, C. L., Pattabiraman, D., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.061 · Cited by 1,829 · see citing works
Self-citationIron and cancer: more ore to be mined
Torti, S. V., & Torti, F. M. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3495 · Cited by 1,621 · see citing works
Goetz, D. H., Holmes, M. A., Borregaard, N., Bluhm, M. E., Raymond, K. N., & Strong, R. K. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00708-6 · Cited by 1,355 · see citing works
Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses
Lavin, Y., Kobayashi, S., Leader, A., Amir, E.-A. D., Elefant, N., Bigenwald, C., Remark, R., Sweeney, R., Becker, C. D., Levine, J. H., et al. (2017) · Cell · doi:10.1016/j.cell.2017.04.014 · Cited by 1,209 · see citing works
Self-citationMitochondrial dysfunction prevents repolarization of inflammatory macrophages
Van den Bossche, J., Baardman, J., Otto, N. A., van der Velden, S., Neele, A. E., van den Berg, S. M., Luque-Martin, R., Chen, H.-J., Boshuizen, M. C. S., Ahmed, M., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.09.008 · Cited by 1,027 · see citing works
Arts, R. J. W., Novakovic, B., ter Horst, R., Carvalho, A., Bekkering, S., Lachmandas, E., Rodrigues, F., Silvestre, R., Cheng, S.-C., Wang, S.-Y., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.10.008 · Cited by 930 · see citing works
Characterization of cell fate probabilities in single-cell data with Palantir
Setty, M., Kiseliovas, V., Levine, J., Gayoso, A., Mazutis, L., & Pe’er, D. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0068-4 · Cited by 833 · see citing works
Self-citationA Cell-Surface Receptor for Lipocalin 24p3 Selectively Mediates Apoptosis and Iron Uptake
Devireddy, L. R., Gazin, C., Zhu, X., & Green, M. R. (2005) · Cell · doi:10.1016/j.cell.2005.10.027 · Cited by 672 · see citing works
An Iron Delivery Pathway Mediated by a Lipocalin
Yang, J., Goetz, D., Li, J.-Y., Wang, W., Mori, K., Setlik, D., Du, T., Erdjument-Bromage, H., Tempst, P., Strong, R., et al. (2002) · Molecular Cell · doi:10.1016/s1097-2765(02)00710-4 · Cited by 651 · see citing works
WNT/TCF Signaling through LEF1 and HOXB9 Mediates Lung Adenocarcinoma Metastasis
Nguyen, D. X., Chiang, A. C., Zhang, X. H.-F., Kim, J. Y., Kris, M. G., Ladanyi, M., Gerald, W. L., & Massagué, J. (2009) · Cell · doi:10.1016/j.cell.2009.04.030 · Cited by 622 · see citing works
MC4R-dependent suppression of appetite by bone-derived lipocalin 2
Mosialou, I., Shikhel, S., Liu, J., Maurizi, A., Luo, N., He, Z., Huang, Y., Zong, H., Friedman, R. A., Barasch, J. M., et al. (2017) · Nature · doi:10.1038/nature21697 · Cited by 457 · see citing works
A balanced view of the cerebrospinal fluid composition and functions: Focus on adult humans
Spector, R., Snodgrass, S. R., & Johanson, C. E. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2015.07.027 · Cited by 445 · see citing works
Kjeldsen, L., Bainton, D., Sengeløv, H., & Borregaard, N. (1994) · Blood · doi:10.1182/blood.v83.3.799.799 · Cited by 385 · see citing works
Lipocalin 2 protects from inflammation and Tumorigenesis associated with gut microbiota alterations
Moschen, A. R., Gerner, R. R., Wang, J., Klepsch, V., Adolph, T. E., Reider, S. J., Hackl, H., Pfister, A., Schilling, J., Moser, P. L., et al. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2016.03.007 · Cited by 375 · see citing works
Complement Component 3 adapts the cerebrospinal fluid for leptomeningeal metastasis.
Boire, A., Zou, Y., Shieh, J., Macalinao, D. G., Pentsova, E., & Massagué, J. (2017) · Cell · doi:10.1016/j.cell.2017.02.025 · Cited by 366 · see citing works
Iron trafficking and metabolism in macrophages: contribution to the polarized phenotype.
Cairo, G., Recalcati, S., Mantovani, A., & Locati, M. (2011) · Trends in Immunology · doi:10.1016/j.it.2011.03.007 · Cited by 312 · see citing works
Identification of a New Acute Phase Protein
Liu, Q., & Nilsen‐Hamilton, M. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.38.22565 · Cited by 249 · see citing works
Kesari, S., & Batchelor, T. T. (2003) · Neurologic Clinics · doi:10.1016/s0733-8619(02)00032-4 · Cited by 211 · see citing works
Oechsle, K., Lange-Brock, V., Kruell, A., Bokemeyer, C., & de Wit, M. (2010) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-010-0831-x · Cited by 119 · see citing works
Jung, M., Ören, B., Mora, J., Mertens, C., Dziumbla, S., Popp, R., Weigert, A., Grossmann, N., Fleming, I., & Brüne, B. (2016) · Science Signaling · doi:10.1126/scisignal.aaf3241 · Cited by 87 · see citing works
Macrophage-derived lipocalin-2 transports iron in the tumor microenvironment
Mertens, C., Mora, J., Ören, B., Grein, S., Winslow, S., Scholich, K., Weigert, A., Malmström, P., Forsare, C., Fernö, M., et al. (2018) · OncoImmunology · doi:10.1080/2162402x.2017.1408751 · Cited by 85 · see citing works
Mertens, C., Akam, E. A., Rehwald, C., Brüne, B., Tomat, E., & Jung, M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0166164 · Cited by 83 · see citing works
Jung, M., Weigert, A., Tausendschön, M., Mora, J., Ören, B., Solà, A., Hotter, G., Muta, T., & Brüne, B. (2012) · Molecular and Cellular Biology · doi:10.1128/mcb.00413-12 · Cited by 71 · see citing works
Hamzic, N., Blomqvist, A. G., & Nilsberth, C. (2012) · Journal of Neuroendocrinology · doi:10.1111/jne.12000 · Cited by 60 · see citing works
Role of flow cytometry immunophenotyping in the diagnosis of leptomeningeal carcinomatosis
Subirá, D., Serrano, C., Castañón, S., et al. (2011) · Neuro-Oncology · doi:10.1093/neuonc/nor172 · Cited by 59 · see citing works
Tumor associated macrophages deliver iron to tumor cells via Lcn2.
Duan, X., He, K., Li, J., Cheng, M. S., Song, H., Liu, J., & Liu, P. (2018) · Europe PMC (PubMed Central) · Cited by 43 · see citing works
Meningeal Carcinomatosis: Development of an Experimental Model
Ushio, Y., Chernik, N. L., Posner, J. B., & Shapiro, W. R. (1977) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-197703000-00003 · Cited by 42 · see citing works
Cha, J., Wee, H.-J., Seo, J. H., Ahn, B. J., Park, J., Yang, J.-M., Lee, S.-W., Lee, O.-H., Lee, H., Gelman, I. H., et al. (2014) · Nature Communications · doi:10.1038/ncomms5952 · Cited by 36 · see citing works
A Simple Mouse Model for Leptomeningeal Metastases and Repeated Intrathecal Therapy
Reijneveld, J. C., TAPHOORN, M. J. B., & Voest, E. E. (1999) · Journal of Neuro-Oncology · doi:10.1023/a:1006237917632 · Cited by 30 · see citing works
Geometric diffusions for the analysis of data from sensor networks
Coifman, R. R., Maggioni, M., Zucker, S. W., et al. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.08.012 · Cited by 17 · see citing works
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Sankowski, R., Süß, P., Benkendorff, A., Böttcher, C., Fernandez-Zapata, C., Chhatbar, C., Cahueau, J., Monaco, G., Gasull, A. D., Khavaran, A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02673-1 · Cited by 156 · see citing works
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- Authors
- Chi, Y., Remsik, J., Kiseliovas, V., Derderian, C., Sener, U., Alghader, M., Saadeh, F., Nikishina, K., Bale, T., Iacobuzio-Donahue, C., Thomas, T., Pe’er, D., Mazutis, L., & Boire, A.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
- Columbia University (US)
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
- Corresponding author
- Boire, Adrienne
- ORCID
- Venue
- Science
- Published
- 2020-07-17
- Volume
- 369
- Issue
- 6501
- Pages
- 276-282
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC7816199
- OpenAlex
- W3043398874
- Cited by
- 320
- References
- 47
- Citations by year
- 2026: 46 · 2025: 69 · 2024: 69 · 2023: 56 · 2022: 37 · 2021: 34 · 2020: 9
- FWCI
- 19.12
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R35 CA220508, 1U2CCA233284, P30 CA008748)
- Pew Charitable Trusts (GC241069)
- Damon Runyon Cancer Research Foundation (GC240764)
- American Brain Tumor Association (BRF1900019)
- Pershing Square Sohn Cancer Research Alliance (GC239280)
- The Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center
- Robert J. Kleberg, Jr. and Helen C. Kleberg Foundation (n/a)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Brain Metastases and Treatment
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Ferroptosis and cancer prognosis
- Health Sciences › Medicine › Hematology › Iron Metabolism and Disorders
- Keywords
- leptomeningeal metastasis, neutrophil gelatinase-associated lipocalin, SLC22A17, iron acquisition, tumor microenvironment, cerebrospinal fluid, cancer-associated macrophages, iron chelation therapy, central nervous system metastasis, single-cell RNA sequencing
- MeSH terms
- Lipocalin-2, Animals, Humans, Iron, Macrophages, Meningeal Neoplasms, Mice, Tumor Microenvironment
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