Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Association of tumour-associated macrophage states with non-conserved lncrnas in lung cancer

Abstract

Tumour-associated macrophages (TAMs) are central players in the tumour microenvironment, driving cancer progression and modulating immune responses. Renowned for their ability to rapidly adapt to environmental changes, TAMs can adopt a wide range of functional phenotypes. However, the regulatory mechanisms underlying this functional plasticity are still not fully understood. Long non-coding RNAs (lncRNAs), as key regulators of epigenetic and post-transcriptional processes, are increasingly recognized for their potential role in TAM polarization. In this study, we conducted a comprehensive comparative analysis of lncRNA expression in TAMs derived from both mouse and human lung carcinomas. Although we identified a small group of murine lncRNAs as potential human orthologs through orthogonal in silico approaches, the majority of murine lncRNAs lacked clear human equivalents. Overall, our findings reveal distinct lncRNA expression patterns in lung carcinoma mouse and human TAMs, underscoring the importance of utilizing human-based models to thoroughly investigate the roles of lncRNAs in immune regulation and bridge the translational gap between murine and human cancer immunology.

This is a preview of subscription content, access via your institution

Access options

Buy this article

USD 39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: LncRNAs in MHC-IIlow andhigh TAMs exhibit significant differential gene expression.
Fig. 2: Conserved short sequence stretches in lncRNAs between mouse and human.
Fig. 3: LncRNAs in TAMs have limited functional conservation between mouse and human.

Similar content being viewed by others

Data availability

Sequencing data have been deposited to GEO database with accession number GSE302249.

References

  1. Cassetta L, Pollard JW. A timeline of tumour-associated macrophage biology. Nat Rev Cancer. 2023;23:238–57. https://doi.org/10.1038/s41568-022-00547-1.

    Article  CAS  PubMed  Google Scholar 

  2. Movahedi K, Laoui D, Gysemans C, Baeten M, Stange G, Van den Bossche J, et al. Different Tumor Microenvironments Contain Functionally Distinct Subsets of Macrophages Derived from Ly6C(high) Monocytes. Cancer Res. 2010;70:5728–39. https://doi.org/10.1158/0008-5472.CAN-09-4672.

    Article  CAS  PubMed  Google Scholar 

  3. Ma RY, Black A, Qian BZ. Macrophage diversity in cancer revisited in the era of single-cell omics. Trends Immunol. 2022;43:546–63. https://doi.org/10.1016/j.it.2022.04.008.

    Article  CAS  PubMed  Google Scholar 

  4. Mattick JS, Amaral PP, Carninci P, Carpenter S, Chang HY, Chen LL, et al. Long non-coding RNAs: definitions, functions, challenges and recommendations. Nat Rev Mol Cell Biol. 2023;24:430–47. https://doi.org/10.1038/s41580-022-00566-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Leucci E. Cancer development and therapy resistance: spotlights on the dark side of the genome. Pharmacol Ther. 2018;189:22–30. https://doi.org/10.1016/j.pharmthera.2018.04.001.

    Article  CAS  PubMed  Google Scholar 

  6. Du M, Yuan L, Tan X, Huang D, Wang X, Zheng Z, et al. The LPS-inducible lncRNA Mirt2 is a negative regulator of inflammation. Nat Commun. 2017;8:2049. https://doi.org/10.1038/s41467-017-02229-1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Cao J, Dong R, Jiang L, Gong Y, Yuan M, You J, et al. LncRNA-Mm2p identified as a modulator of macrophage M2 polarization. Cancer Immunol Res. 2019;7:292–305. https://doi.org/10.1158/2326-6066.CIR-18-0145.

    Article  CAS  PubMed  Google Scholar 

  8. Li Z, Chao T-C, Chang K-Y, Lin N, Patil VS, Shimizu C, et al. The long noncoding RNA THRIL regulates TNF expression through its interaction with hnRNPL. Proceedings of the National Academy of Sciences. 2014;111:1002–7. https://doi.org/10.1073/pnas.1313768111.

    Article  CAS  Google Scholar 

  9. Xu H, Jiang Y, Xu X, Su X, Liu Y, Ma Y, et al. Inducible degradation of lncRNA Sros1 promotes IFN-γ-mediated activation of innate immune responses by stabilizing Stat1 mRNA. Nat Immunol. 2019;20:1621–30. https://doi.org/10.1038/s41590-019-0542-7.

    Article  CAS  PubMed  Google Scholar 

  10. Yan S, Wang P, Wang J, Yang J, Lu H, Jin C, et al. Long Non-coding RNA HIX003209 Promotes Inflammation by Sponging miR-6089 via TLR4/NF-κB Signaling Pathway in Rheumatoid Arthritis. Front Immunol. 2019;10:2218. https://doi.org/10.3389/fimmu.2019.02218.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Simion V, Zhou H, Haemmig S, Pierce JB, Mendes S, Tesmenitsky Y, et al. A macrophage-specific lncRNA regulates apoptosis and atherosclerosis by tethering HuR in the nucleus. Nat Commun. 2020;11:6135. https://doi.org/10.1038/s41467-020-19664-2.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Zhang C, Wei S, Dai S, Li X, Wang H, Zhang H, et al. The NR_109/FUBP1/c-Myc axis regulates TAM polarization and remodels the tumor microenvironment to promote cancer development. J Immunother Cancer. 2023;11:e006230. https://doi.org/10.1136/jitc-2022-006230.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Vollmers AC, Covarrubias S, Kuang D, Shulkin A, Iwuagwu J, Katzman S, et al. A conserved long noncoding RNA, GAPLINC, modulates the immune response during endotoxic shock, https://doi.org/10.1073/pnas.2016648118/-/DCSupplemental.

  14. Smith MA, Gesell T, Stadler PF, Mattick JS. Widespread purifying selection on RNA structure in mammals. Nucleic Acids Res. 2013;41:8220–36. https://doi.org/10.1093/nar/gkt596.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Graf J & Kretz M, From structure to function: Route to understanding lncRNA mechanism, BioEssays, 42, no. 12, Dec. 2020, https://doi.org/10.1002/bies.202000027.

  16. Ulitsky I, Shkumatava A, Jan CH, Sive H, Bartel DP. Conserved Function of lincRNAs in Vertebrate Embryonic Development despite Rapid Sequence Evolution. Cell. 2011;147:1537–50. https://doi.org/10.1016/j.cell.2011.11.055.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Hezroni H, Koppstein D, Schwartz MG, Avrutin A, Bartel DP, Ulitsky I. Principles of Long Noncoding RNA Evolution Derived from Direct Comparison of Transcriptomes in 17 Species. Cell Rep. 2015;11:1110–22. https://doi.org/10.1016/j.celrep.2015.04.023.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Kirk JM, Kim SO, Inoue K, Smola MJ, Lee DM, Schertzer MD, et al. Functional classification of long non-coding RNAs by k-mer content. Nat Genet. 2018;50:1474–82. https://doi.org/10.1038/s41588-018-0207-8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Camilleri-Robles C, Amador R, Klein CC, Guigó R, Corominas M, Ruiz-Romero M. Genomic and functional conservation of lncRNAs: lessons from flies. Springer. 2022;33:328–42. https://doi.org/10.1007/s00335-021-09939-4.

    Article  CAS  PubMed Central  Google Scholar 

  20. Schröder B. The multifaceted roles of the invariant chain CD74 - More than just a chaperone, Jun. 01, 2016, Elsevier B.V. https://doi.org/10.1016/j.bbamcr.2016.03.026.

  21. Yang H, Lei Z, He J, Zhang L, Lai T, Zhou L, et al. Single-cell RNA sequencing reveals recruitment of the M2-like CCL8high macrophages in Lewis lung carcinoma-bearing mice following hypofractionated radiotherapy. J Transl Med. 2024;22:306. https://doi.org/10.1186/s12967-024-05118-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Nomura M, Liu J, Rovira II, Gonzalez-Hurtado E, Lee J, Wolfgang MJ, et al., Fatty acid oxidation in macrophage polarization, Feb. 16, 2016, Nature Publishing Group. https://doi.org/10.1038/ni.3366.

  23. Uroda T, Anastasakou E, Rossi A, Teulon JM, Pellequer JL, Annibale P, et al. Conserved Pseudoknots in lncRNA MEG3 Are Essential for Stimulation of the p53 Pathway. Mol Cell. 2019;75:982–95.e9. https://doi.org/10.1016/j.molcel.2019.07.025.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. He S, Liu S, & Zhu H. The sequence, structure and evolutionary features of HOTAIR in mammals, BMC Evol Biol. 2011;11. https://doi.org/10.1186/1471-2148-11-102.

  25. Wu WC, Sun HW, Chen HT, Liang J, Yu XJ, Wu C, et al. Circulating hematopoietic stem and progenitor cells are myeloid-biased in cancer patients. Proc Natl Acad Sci USA. 2014;111:4221–6. https://doi.org/10.1073/pnas.1320753111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Sallam T, Jones M, Thomas BJ, Wu X, Gilliland T, Qian K, et al. Transcriptional regulation of macrophage cholesterol efflux and atherogenesis by a long noncoding RNA. Nat Med. 2018;24:304–12. https://doi.org/10.1038/nm.4479.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Yang X, Bam M, Becker W, Nagarkatti PS, Nagarkatti M. Long Noncoding RNA AW112010 Promotes the Differentiation of Inflammatory T Cells by Suppressing IL-10 Expression through Histone Demethylation. The Journal of Immunology. 2020;205:987–93. https://doi.org/10.4049/jimmunol.2000330.

    Article  CAS  PubMed  Google Scholar 

  28. Barman PK, Shin JE, Lewis SA, Kang S, Wu D, Wang Y, et al. Production of MHCII-expressing classical monocytes increases during aging in mice and humans. Aging Cell. 2022;21:e13701 https://doi.org/10.1111/acel.13701.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Wen J, Liu Y, Zhan Z, Chen S, Hu B, Ge J, et al. Comprehensive analysis of mRNAs, lncRNAs and circRNAs in the early phase of microglial activation. Exp Ther Med. 2021;22:1460 https://doi.org/10.3892/etm.2021.10895.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Kim J, Lee B, Kim Y, Kim BC, Kim JT, Cho HH. Comprehensive investigation of the expression profiles of common long noncoding RNAs during microglial activation. Genomics Inform. 2023;21:e2 https://doi.org/10.5808/gi.22061.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Whyte CS, Bishop ET, Rückerl D, Gaspar-Pereira S, Barker RN, Allen JE, et al. Suppressor of cytokine signaling (SOCS)1 is a key determinant of differential macrophage activation and function. J Leukoc Biol. 2011;90:845–54. https://doi.org/10.1189/jlb.1110644.

    Article  CAS  PubMed  Google Scholar 

  32. Gcanga L, Tamgue O, Ozturk M, Pillay S, Jacobs R, Chia JE, et al. Host-Directed Targeting of LincRNA-MIR99AHG Suppresses Intracellular Growth of Mycobacterium tuberculosis. Nucleic Acid Ther. 2022;32:421–37. https://doi.org/10.1089/nat.2022.0009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Tsagakis I, Douka K, Birds I, Aspden JL. Long non-coding RNAs in development and disease: conservation to mechanisms. John Wiley and Sons Ltd. 2020;250:480–95. https://doi.org/10.1002/path.5405.

    Article  CAS  Google Scholar 

  34. Neeman Y, Levanon EY, Jantsch MF, Eisenberg E. RNA editing level in the mouse is determined by the genomic repeat repertoire. RNA. 2006;12:1802–9. https://doi.org/10.1261/rna.165106.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Yamawaki TM, Lu DR, Ellwanger DC, Bhatt D, Manzanillo P, Arias V, et al. Systematic comparison of high-throughput single-cell RNA-seq methods for immune cell profiling. BMC Genomics. 2021;22:66. https://doi.org/10.1186/s12864-020-07358-4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Liu Y, Chen Y, Tan L, Zhao H, Xiao N. Linc00299/miR-490-3p/AURKA axis regulates cell growth and migration in atherosclerosis. Heart Vessels. 2019;34:1370–80. https://doi.org/10.1007/s00380-019-01356-7.

    Article  PubMed  Google Scholar 

  37. Manoochehri M, Jones M, Tomczyk K, Fletcher O, Schoemaker MJ, Swerdlow AJ, et al. DNA methylation of the long intergenic noncoding RNA 299 gene in triple-negative breast cancer: results from a prospective study. Sci Rep. 2020;10:11762. https://doi.org/10.1038/s41598-020-68506-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Talkowski ME, Maussion G, Crapper L, Rosenfeld JA, Blumenthal I, Hanscom C, et al. Disruption of a large intergenic noncoding RNA in subjects with neurodevelopmental disabilities. Am J Hum Genet. 2012;91:1128–34. https://doi.org/10.1016/j.ajhg.2012.10.016.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Prokopenko D, Morgan SL, Mullin K, Hofmann O, Chapman B, Kirchner R, et al. Whole-genome sequencing reveals new Alzheimer’s disease–associated rare variants in loci related to synaptic function and neuronal development. Alzheimer’s and Dementia. 2021;17:1509–27. https://doi.org/10.1002/alz.12319. no. 9, ppSep.

    Article  CAS  PubMed  Google Scholar 

  40. Kenkpen AK, Storey JJ, Olson ER, Guden TE, Card TT, Jensen AS, et al. Developing Connections Between LINC00298 RNA and Alzheimer’s Disease Through Mapping Its Interactome and Through Biochemical Characterization. Journal of Alzheimer’s Disease. 2023;95:641–61. https://doi.org/10.3233/JAD-230057.

    Article  CAS  PubMed  Google Scholar 

  41. Geeraerts X, Fernández-Garcia J, Hartmann FJ, de Goede KE, Martens L, Elkrim Y, et al. Macrophages are metabolically heterogeneous within the tumor microenvironment. Cell Rep. 2021;37:110171 https://doi.org/10.1016/j.celrep.2021.110171.

    Article  CAS  PubMed  Google Scholar 

  42. Yang C, Qu J, Wu J, Cai S, Liu W, Deng Y, et al. Single-cell dissection reveals immunosuppressive F13A1+ macrophage as a hallmark for multiple primary lung cancers. Clin Transl Med. 2024;14:e70091. https://doi.org/10.1002/ctm2.70091.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Turner VM & Mabbott NA, Influence of ageing on the microarchitecture of the spleen and lymph nodes, Oct. 01, 2017, Springer Netherlands. https://doi.org/10.1007/s10522-017-9707-7.

  44. Haley PJ, The lymphoid system: A review of species differences, 2017, Japanese Society of Toxicologic Pathology. https://doi.org/10.1293/tox.2016-0075.

  45. Shay T, Jojic V, Zuk O, Rothamel K, Puyraimond-Zemmour D, Feng T, et al. Conservation and divergence in the transcriptional programs of the human and mouse immune systems. Proc Natl Acad Sci USA. 2013;110:2946–51. https://doi.org/10.1073/pnas.1222738110.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Medetgul-Ernar K and Davis MM, Standing on the shoulders of mice, Aug. 09, 2022, Cell Press. https://doi.org/10.1016/j.immuni.2022.07.008.

  47. Initial sequencing and comparative analysis of the mouse genome, Nature, 420, no. 6915, pp. 520-62, Dec. 2002, https://doi.org/10.1038/nature01262.

  48. Huggins MA, Jameson SC, and Hamilton SE, Embracing microbial exposure in mouse research, Jan. 01, 2019, John Wiley and Sons Inc. https://doi.org/10.1002/JLB.4RI0718-273R.

  49. Beura LK, Hamilton SE, Bi K, Schenkel JM, Odumade OA, Casey KA, et al. Normalizing the environment recapitulates adult human immune traits in laboratory mice. Nature. 2016;532:512–6. https://doi.org/10.1038/nature17655.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Masopust D, Sivula CP, Jameson SC. Of Mice, Dirty Mice, and Men: Using Mice To Understand Human Immunology. The Journal of Immunology. 2017;199:383–8. https://doi.org/10.4049/jimmunol.1700453.

    Article  CAS  PubMed  Google Scholar 

  51. Mestas J, Hughes CCW. IMMUNOLOGY Of Mice and Not Men: Differences between Mouse and Human Immunology, 2004. [Online]. Available: http://journals.aai.org/jimmunol/article-pdf/172/5/2731/1181081/2731.pdf

  52. Paralkar VR, Mishra T, Luan J, Yao Y, Kossenkov AV, Anderson SM, et al. Lineage and species-specific long noncoding RNAs during erythro-megakaryocytic development. Blood. 2014;123:1927–37. https://doi.org/10.1182/blood.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Jackson R, Kroehling L, Khitun A, Bailis W, Jarret A, York AG, et al. The translation of non-canonical open reading frames controls mucosal immunity. Nature. 2018;564:434–8. https://doi.org/10.1038/s41586-018-0794-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Zhou Y, Jin Q, Chang J, Zhao Z, Sun C. Long non-coding RNA ZMIZ1-AS1 promotes osteosarcoma progression by stabilization of ZMIZ1. Cell Biol Toxicol. 2022;38:1013–26. https://doi.org/10.1007/s10565-021-09641-w.

    Article  CAS  PubMed  Google Scholar 

  55. Jing C, Cao H, Wu J, Ma R, Zhang J, Liu S, et al. Long noncoding RNA ZMIZ1-AS1 promotes gefitinib resistance via binding to hnRNPA1. Precision Medical Sciences. 2021;10:133–7. https://doi.org/10.1002/prm2.12051.

    Article  CAS  Google Scholar 

  56. Finotto L, Cole B, Giese W, Baumann E, Claeys A, Vanmechelen M, et al. Single-cell profiling and zebrafish avatars reveal LGALS1 as immunomodulating target in glioblastoma. EMBO Mol Med. 2023;15:e18144. https://doi.org/10.15252/emmm.202318144.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Si J, Su X, Xu H, Gu J, Feng Y, Wang Z, et al. MIR99AHG: a novel lncRNA host gene with diverse regulatory roles in cancer. Clin Cancer Bull. 2024; 3. https://doi.org/10.1007/s44272-024-00022-y.

  58. Han C, Li H, Ma Z, Dong G, Wang Q, Wang S, et al. MIR99AHG is a noncoding tumor suppressor gene in lung adenocarcinoma. Cell Death Dis. 2021;12:424. https://doi.org/10.1038/s41419-021-03715-7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Goecks J, Nekrutenko A, Taylor J, Afgan E, Ananda G, Baker D, et al. Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol. 2010;11:R86. https://doi.org/10.1186/gb-2010-11-8-r86.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Blankenberg D, Gordon A, Von Kuster G, Coraor N, Taylor J, Nekrutenko A, et al. Manipulation of FASTQ data with galaxy. Bioinformatics. 2010;26:1783–5. https://doi.org/10.1093/bioinformatics/btq281.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Bolger AM, Lohse M, Usadel B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–20. https://doi.org/10.1093/bioinformatics/btu170.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: Ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29:15–21. https://doi.org/10.1093/bioinformatics/bts635.

    Article  CAS  PubMed  Google Scholar 

  63. Anders S, Pyl PT, Huber W. HTSeq-A Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31:166–9. https://doi.org/10.1093/bioinformatics/btu638.

    Article  CAS  PubMed  Google Scholar 

  64. R Core Team, R: A language and environment for statistical < computing, 2021, R Foundation for Statistical Computing, Vienna, Austria.

  65. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:1–21. https://doi.org/10.1186/s13059-014-0550-8.

    Article  CAS  Google Scholar 

  66. Howe KL, Achuthan P, Allen J, Allen J, Alvarez-Jarreta J, Amode MR, et al. Ensembl 2021. Nucleic Acids Res. 2021;49:D884–D891. https://doi.org/10.1093/nar/gkaa942.

    Article  CAS  PubMed  Google Scholar 

  67. Junttila S, Smolander J & Elo LL. Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data, Brief Bioinform. 2022;23. https://doi.org/10.1093/bib/bbac286.

  68. Prazanowska KH and Lim SB, An integrated single-cell transcriptomic dataset for non-small cell lung cancer, Sci Data, 2023;10. https://doi.org/10.1038/s41597-023-02074-6.

  69. Cao Z, Pan X, Yang Y, Huang Y, and Shen HB, The lncLocator: A subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier, In Bioinformatics, Oxford University Press, Jul. 2018, pp. 2185-94. https://doi.org/10.1093/bioinformatics/bty085.

  70. Kang YJ, Yang DC, Kong L, Hou M, Meng YQ, Wei L, et al. CPC2: A fast and accurate coding potential calculator based on sequence intrinsic features. Nucleic Acids Res. 2017;45:W12–W6. https://doi.org/10.1093/nar/gkx428.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This project was funded by C1 Interne Fondsen KU Leuven/ C1 Internal Funds KU Leuven (C16/19/006). S. Cinque was the recipient of FWO– Flanders research organization PhD fellowship (1SD1620N). Y. Verheyden is the recipient of an FWO – Flanders research organization PhD fellowship (1SC5122N).

Author information

Authors and Affiliations

Authors

Contributions

YV: conceptualization, data curation, data analysis, investigation, visualization, methodology, writing original draft. SC: methodology. DK: data analysis. JVG: conceptualization, editing. EL: conceptualisation, supervision, funding acquisition, writing original draft.

Corresponding author

Correspondence to Eleonora Leucci.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethical approval

The experiments involving animals have been conducted according to the guidelines of the Belgian Council for Laboratory Animal Science and were approved by the Ethical Committee for Animal Experiments of the Vrije Universiteit Brussel (ECD number 16-220-2).

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Verheyden, Y., Cinque, S., Kancheva, D. et al. Association of tumour-associated macrophage states with non-conserved lncrnas in lung cancer. Genes Immun (2026). https://doi.org/10.1038/s41435-026-00377-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41435-026-00377-3

Search

Quick links