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.

Advertisement

Nature Communications
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. nature communications
  3. articles
  4. article
Eukaryote initiation factor 6 modulates small-cell lung carcinoma plasticity via the integrin-FAK signaling axis
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 24 February 2026

Eukaryote initiation factor 6 modulates small-cell lung carcinoma plasticity via the integrin-FAK signaling axis

  • Haoning Peng  ORCID: orcid.org/0000-0003-1388-32551,2,3 na1,
  • Zhile Wang  ORCID: orcid.org/0000-0001-6820-83831,2 na1,
  • Mengyao Wang  ORCID: orcid.org/0000-0002-1186-17921 na1,
  • Zheyu Ding  ORCID: orcid.org/0009-0002-9560-03691,
  • Kaixiu Li1,
  • Yuqing Wang1,
  • Xuejiao Yu4,
  • Siyang Song4,
  • Yulan Deng1,
  • Yi Liu1,2,
  • Qiang Pu1,2,
  • Lu Li5,
  • Michael Cerezo  ORCID: orcid.org/0000-0002-3687-20096,7,
  • Weiya Wang4,
  • Lunxu Liu1,2 &
  • …
  • Shensi Shen  ORCID: orcid.org/0000-0002-5087-82201,2 

Nature Communications , Article number:  (2026) Cite this article

  • 15 Altmetric

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Cancer therapeutic resistance
  • Small-cell lung cancer

Abstract

Small cell lung carcinoma (SCLC) is an aggressive neuroendocrine cancer that rapidly develops resistance to platinum-based chemotherapy. A key feature of SCLC is its ability to switch between neuroendocrine (NE) and non-neuroendocrine (non-NE) states, a process linked to therapeutic failure, yet the underlying mechanisms driving this plasticity remain incompletely understood. Here, we show that the translation initiation factor eIF6 is a critical regulator of non-NE transdifferentiation in SCLC. eIF6 expression is consistently upregulated in non-NE states across cell lines, mouse models, and patient samples, accompanied by global remodelling of the translational landscape. Mechanistically, eIF6 dissociates from ribosomes and interacts with the CD104-FAK complex, leading to MAPK pathway activation. Intervening eIF6 suppresses non-NE transdifferentiation and enhances SCLC chemotherapy sensitivity in vitro and in vivo. These findings position the eIF6-CD104-FAK axis as a prognostic marker and therapeutic target, offering a potential strategy to mitigate SCLC resistance.

Similar content being viewed by others

Challenges of small cell lung cancer heterogeneity and phenotypic plasticity

Article 10 April 2025

Dynamic phenotypic reprogramming and chemoresistance induced by lung fibroblasts in small cell lung cancer

Article Open access 05 February 2024

Intrinsic electrical activity drives small-cell lung cancer progression

Article Open access 12 February 2025

Data availability

The RNA-seq data generated in this study have been deposited in the Gene Expression Omnibus under accession code GSE262597. The mass spectrometry proteomics data generated in this study have been deposited in the ProteomeXchange Consortium via the iProX partner repository under identifier PXD051035. The RNA-seq and proteomics data are fully available without restrictions. Processed data and all data supporting the findings of this study are provided in the Supplementary Information. Source data are provided with this paper.

References

  1. Megyesfalvi, Z. et al. Clinical insights into small cell lung cancer: Tumor heterogeneity, diagnosis, therapy, and future directions. CA Cancer J. Clin. 73, 620–652 (2023).

    Google Scholar 

  2. Rudin, C. M., Brambilla, E., Faivre-Finn, C. & Sage, J. Small-cell lung cancer. Nat. Rev. Dis. Prim. 7, 3 (2021).

    Google Scholar 

  3. Horn, L. et al. First-Line Atezolizumab plus Chemotherapy in Extensive-Stage Small-Cell Lung Cancer. N. Engl. J. Med. 379, 2220–2229 (2018).

    Google Scholar 

  4. Paz-Ares, L. et al. Durvalumab plus platinum-etoposide versus platinum-etoposide in first-line treatment of extensive-stage small-cell lung cancer (CASPIAN): a randomised, controlled, open-label, phase 3 trial. Lancet 394, 1929–1939 (2019).

    Google Scholar 

  5. Tang, X. et al. Metabolism and mRNA translation: a nexus of cancer plasticity. Trends Cell Biol. 35, 562–575 (2025).

  6. Redin, E., Quintanal-Villalonga, A. & Rudin, C. M. Small cell lung cancer profiling: an updated synthesis of subtypes, vulnerabilities, and plasticity. Trends Cancer 10, 935–946 (2024).

    Google Scholar 

  7. Gardner, E. E. et al. Chemosensitive Relapse In Small Cell Lung Cancer Proceeds Through an EZH2-SLFN11 Axis. Cancer Cell 31, 286–299 (2017).

    Google Scholar 

  8. Drapkin, B. J. et al. Genomic anD Functional Fidelity Of Small Cell Lung Cancer Patient-derived Xenografts. Cancer Discov. 8, 600–615 (2018).

    Google Scholar 

  9. Wagner, A. H. et al. Recurrent WNT pathway alterations are frequent in relapsed small cell lung cancer. Nat. Commun. 9, 3787 (2018).

    Google Scholar 

  10. George, J. et al. Evolutionary trajectories of small cell lung cancer under therapy. Nature 627, 880–889 (2024).

  11. Ireland, A. S. et al. MYC Drives Temporal Evolution Of Small Cell Lung Cancer Subtypes By Reprogramming Neuroendocrine Fate. Cancer Cell 38, 60–78 e12 (2020).

    Google Scholar 

  12. Nguyen, E. M. et al. Targeting Lysine-Specific Demethylase 1 Rescues Major Histocompatibility Complex Class I Antigen Presentation and Overcomes Programmed Death-Ligand 1 Blockade Resistance in SCLC. J. Thorac. Oncol. 17, 1014–1031 (2022).

    Google Scholar 

  13. Oser, M. G. et al. The KDM5A/RBP2 histone demethylase represses NOTCH signaling to sustain neuroendocrine differentiation and promote small cell lung cancer tumorigenesis. Genes Dev. 33, 1718–1738 (2019).

    Google Scholar 

  14. Duplaquet, L. et al. KDM6A epigenetically regulates subtype plasticity in small cell lung cancer. Nat. Cell Biol. 25, 1346–1358 (2023).

    Google Scholar 

  15. Chen, H. Y. et al. Regulation of neuroendocrine plasticity by the RNA-binding protein ZFP36L1. Nat. Commun. 13, 4998 (2022).

    Google Scholar 

  16. Fabbri, L., Chakraborty, A., Robert, C. & Vagner, S. The plasticity of mRNA translation during cancer progression and therapy resistance. Nat. Rev. Cancer 21, 558–577 (2021).

    Google Scholar 

  17. Jaako, P. et al. eIF6 rebinding dynamically couples ribosome maturation and translation. Nat. Commun. 13, 1562 (2022).

    Google Scholar 

  18. Gandin, V. et al. Eukaryotic initiation factor 6 is rate-limiting in translation, growth and transformation. Nature 455, 684–688 (2008).

    Google Scholar 

  19. Finch, A. J. et al. Uncoupling of GTP hydrolysis from eIF6 release on the ribosome causes Shwachman-Diamond syndrome. Genes Dev. 25, 917–929 (2011).

    Google Scholar 

  20. George, J. et al. Comprehensive genomic profiles of small cell lung cancer. Nature 524, 47–53 (2015).

    Google Scholar 

  21. Barbie, D. A. et al. Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1. Nature 462, 108–112 (2009).

    Google Scholar 

  22. Zhang, W. et al. Small cell lung cancer tumors and preclinical models display heterogeneity of neuroendocrine phenotypes. Transl. Lung Cancer Res 7, 32–49 (2018).

    Google Scholar 

  23. Gay, C. M. et al. Patterns of transcription factor programs and immune pathway activation define four major subtypes of SCLC with distinct therapeutic vulnerabilities. Cancer Cell 39, 346–360 e347 (2021).

    Google Scholar 

  24. Canadas, I. et al. Targeting epithelial-to-mesenchymal transition with Met inhibitors reverts chemoresistance in small cell lung cancer. Clin. Cancer Res. 20, 938–950 (2014).

    Google Scholar 

  25. Guo, C. et al. Therapeutic targeting of the mevalonate-geranylgeranyl diphosphate pathway with statins overcomes chemotherapy resistance in small cell lung cancer. Nat. Cancer 3, 614–628 (2022).

    Google Scholar 

  26. Shen, S. et al. An epitranscriptomic mechanism underlies selective mRNA translation remodelling in melanoma persister cells. Nat. Commun. 10, 5713 (2019).

    Google Scholar 

  27. Bohlen, J., Roiuk, M. & Teleman, A. A. Phosphorylation of ribosomal protein S6 differentially affects mRNA translation based on ORF length. Nucleic Acids Res. 49, 13062–13074 (2021).

    Google Scholar 

  28. Leppek, K., Das, R. & Barna, M. Functional 5’ UTR mRNA structures in eukaryotic translation regulation and how to find them. Nat. Rev. Mol. Cell Biol. 19, 158–174 (2018).

    Google Scholar 

  29. Advani, V. M. & Ivanov, P. Translational Control under Stress: Reshaping the Translatome. Bioessays 41, e1900009 (2019).

    Google Scholar 

  30. Jobava, R. et al. Adaptive translational pausing is a hallmark of the cellular response to severe environmental stress. Mol. Cell 81, 4191–4208.e4198 (2021).

    Google Scholar 

  31. Ingolia, N. T., Lareau, L. F. & Weissman, J. S. Ribosome profiling of mouse embryonic stem cells reveals the complexity and dynamics of mammalian proteomes. Cell 147, 789–802 (2011).

    Google Scholar 

  32. Genuth, N. R. & Barna, M. The discovery of ribosome heterogeneity and its implications for gene regulation and organismal life. Mol. Cell 71, 364–374 (2018).

    Google Scholar 

  33. Ceci, M. et al. Release of eIF6 (p27BBP) from the 60S subunit allows 80S ribosome assembly. Nature 426, 579–584 (2003).

    Google Scholar 

  34. Mollaoglu, G. et al. MYC drives progression of small cell lung cancer to a variant neuroendocrine subtype with vulnerability to aurora kinase inhibition. Cancer Cell 31, 270–285 (2017).

    Google Scholar 

  35. Bankhead, P. et al. QuPath: Open source software for digital pathology image analysis. Sci. Rep. 7, 16878 (2017).

    Google Scholar 

  36. Nabet, B. Y. et al. Immune heterogeneity in small-cell lung cancer and vulnerability to immune checkpoint blockade. Cancer Cell 42, 429-443.e4 (2024).

  37. Balanis, N. G. et al. Pan-cancer convergence to a small-cell neuroendocrine phenotype that shares susceptibilities with hematological malignancies. Cancer Cell 36, 17–34.e17 (2019).

    Google Scholar 

  38. Canadas, I. et al. Tumor innate immunity primed by specific interferon-stimulated endogenous retroviruses. Nat. Med. 24, 1143–1150 (2018).

    Google Scholar 

  39. Hillary, R. F. & FitzGerald, U. A lifetime of stress: ATF6 in development and homeostasis. J. Biomed. Sci. 25, 48 (2018).

    Google Scholar 

  40. Mello, C. A. et al. Desmoplastic small round cell tumor: a review of main molecular abnormalities and emerging Therapy. Cancers 13, 498 (2021).

  41. Newman, A. M. et al. Determining cell type abundance and expression from bulk tissues with digital cytometry. Nat. Biotechnol. 37, 773–782 (2019).

    Google Scholar 

  42. Chan, J. M. et al. Signatures of plasticity, metastasis, and immunosuppression in an atlas of human small cell lung cancer. Cancer Cell 39, 1479–1496.e1418 (2021).

    Google Scholar 

  43. Jin, S. et al. Inference and analysis of cell-cell communication using CellChat. Nat. Commun. 12, 1088 (2021).

    Google Scholar 

  44. Arafeh, R., Shibue, T., Dempster, J. M., Hahn, W. C. & Vazquez, F. The present and future of the Cancer Dependency Map. Nat. Rev. Cancer 25, 59–73 (2025).

    Google Scholar 

  45. Mahadevan, N. R. et al. Intrinsic immunogenicity of small cell lung carcinoma revealed by its cellular plasticity. Cancer Discov. 11, 1952–1969 (2021).

    Google Scholar 

  46. Oughtred, R. et al. The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions. Protein Sci. 30, 187–200 (2021).

    Google Scholar 

  47. Biffo, S. et al. Isolation of a novel beta4 integrin-binding protein (p27(BBP)) highly expressed in epithelial cells. J. Biol. Chem. 272, 30314–30321 (1997).

    Google Scholar 

  48. Sanvito, F. et al. The beta4 integrin interactor p27(BBP/eIF6) is an essential nuclear matrix protein involved in 60S ribosomal subunit assembly. J. Cell Biol. 144, 823–837 (1999).

    Google Scholar 

  49. Shen, S., Girault, I., Malka-Mahieu, H., Robert, C. & Vagner, S. In situ detection of the eIF4F translation initiation complex in mammalian cells and tissues. STAR Protoc. 2, 100621 (2021).

    Google Scholar 

  50. Groft, C. M., Beckmann, R., Sali, A. & Burley, S. K. Crystal structures of ribosome anti-association factor IF6. Nat. Struct. Biol. 7, 1156–1164 (2000).

    Google Scholar 

  51. Jungers, C. F., Elliff, J. M., Masson-Meyers, D. S., Phiel, C. J. & Origanti, S. Regulation of eukaryotic translation initiation factor 6 dynamics through multisite phosphorylation by GSK3. J. Biol. Chem. 295, 12796–12813 (2020).

    Google Scholar 

  52. Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024).

    Google Scholar 

  53. Tai, Y. L. et al. An EGFR/Src-dependent beta4 integrin/FAK complex contributes to malignancy of breast cancer. Sci. Rep. 5, 16408 (2015).

    Google Scholar 

  54. Klinge, S., Voigts-Hoffmann, F., Leibundgut, M., Arpagaus, S. & Ban, N. Crystal structure of the eukaryotic 60S ribosomal subunit in complex with initiation factor 6. Science 334, 941–948 (2011).

    Google Scholar 

  55. Elliff, J. et al. Dynamic states of eIF6 and SDS variants modulate interactions with uL14 of the 60S ribosomal subunit. Nucleic Acids Res. 51, 1803–1822 (2023).

    Google Scholar 

  56. Keen, A. N. et al. Eukaryotic initiation factor 6 regulates mechanical responses in endothelial cells. J. Cell Biol. 221, e202005213 (2022).

  57. Brina, D., Miluzio, A., Ricciardi, S. & Biffo, S. eIF6 anti-association activity is required for ribosome biogenesis, translational control and tumor progression. Biochim. Biophys. Acta 1849, 830–835 (2015).

    Google Scholar 

  58. Jeffery, C. J. Protein moonlighting: what is it, and why is it important? Philos. Trans. R. Soc. Lond. B. Biol. Sci. 373, 20160523 (2018).

  59. Mazumder, B. et al. Regulated release of L13a from the 60S ribosomal subunit as a mechanism of transcript-specific translational control. Cell 115, 187–198 (2003).

    Google Scholar 

  60. Wan, F. et al. IKKbeta phosphorylation regulates RPS3 nuclear translocation and NF-kappaB function during infection with Escherichia coli strain O157:H7. Nat. Immunol. 12, 335–343 (2011).

    Google Scholar 

  61. Kim, T. S., Kim, H. D. & Kim, J. PKCdelta-dependent functional switch of rpS3 between translation and DNA repair. Biochim Biophys. Acta 1793, 395–405 (2009).

    Google Scholar 

  62. Ray, P. et al. The Saccharomyces cerevisiae 60 S ribosome biogenesis factor Tif6p is regulated by Hrr25p-mediated phosphorylation. J. Biol. Chem. 283, 9681–9691 (2008).

    Google Scholar 

  63. Miluzio, A., Beugnet, A., Volta, V. & Biffo, S. Eukaryotic initiation factor 6 mediates a continuum between 60S ribosome biogenesis and translation. EMBO Rep. 10, 459–465 (2009).

    Google Scholar 

  64. Megyesfalvi, Z. et al. Expression patterns and prognostic relevance of subtype-specific transcription factors in surgically resected small-cell lung cancer: an international multicenter study. J. Pathol. 257, 674–686 (2022).

    Google Scholar 

  65. Sulzmaier, F. J., Jean, C. & Schlaepfer, D. D. FAK in cancer: mechanistic findings and clinical applications. Nat. Rev. Cancer 14, 598–610 (2014).

    Google Scholar 

  66. Aboubakar Nana, F. et al. Increased Expression and activation of FAK in small-cell lung cancer compared to non-small-cell lung cancer. Cancers 11, 1526 (2019).

  67. Aboubakar Nana, F. et al. Therapeutic potential of focal adhesion kinase inhibition in small cell lung cancer. Mol. Cancer Ther. 18, 17–27 (2019).

    Google Scholar 

  68. Carrano, A. C., Eytan, E., Hershko, A. & Pagano, M. SKP2 is required for ubiquitin-mediated degradation of the CDK inhibitor p27. Nat. Cell Biol. 1, 193–199 (1999).

    Google Scholar 

  69. Soria, J. C. et al. A phase I, pharmacokinetic and pharmacodynamic study of GSK2256098, a focal adhesion kinase inhibitor, in patients with advanced solid tumors. Ann. Oncol. 27, 2268–2274 (2016).

    Google Scholar 

  70. Zhang, B. et al. Focal Adhesion Kinase (FAK) inhibition synergizes with KRAS G12C inhibitors in treating cancer through the regulation of the FAK-YAP signaling. Adv. Sci. 8, e2100250 (2021).

    Google Scholar 

  71. Dawson, J. C., Serrels, A., Stupack, D. G., Schlaepfer, D. D. & Frame, M. C. Targeting FAK in anticancer combination therapies. Nat. Rev. Cancer 21, 313–324 (2021).

    Google Scholar 

  72. Calbo, J. et al. A functional role for tumor cell heterogeneity in a mouse model of small cell lung cancer. Cancer Cell 19, 244–256 (2011).

    Google Scholar 

  73. Inoue, Y. et al. Extracellular signal-regulated kinase mediates chromatin rewiring and lineage transformation in lung cancer. Elife 10, e66524 (2021).

  74. Kinbara, K., Goldfinger, L. E., Hansen, M., Chou, F. L. & Ginsberg, M. H. Ras GTPases: integrins’ friends or foes? Nat. Rev. Mol. Cell Biol. 4, 767–776 (2003).

    Google Scholar 

  75. Arang, N. et al. High-throughput chemogenetic drug screening reveals PKC-RhoA/PKN as a targetable signaling vulnerability in GNAQ-driven uveal melanoma. Cell Rep. Med. 4, 101244 (2023).

    Google Scholar 

  76. Sabari, J. K., Lok, B. H., Laird, J. H., Poirier, J. T. & Rudin, C. M. Unravelling the biology of SCLC: implications for therapy. Nat. Rev. Clin. Oncol. 14, 549–561 (2017).

    Google Scholar 

  77. Hu, C. et al. ASCL1 and DLL3 expressions and their clinicopathological implications in surgically resected pure small cell lung cancer: A study of 247 cases from the National Cancer Center of China. Thorac. Cancer 13, 338–345 (2022).

    Google Scholar 

  78. Wei, J. et al. Clinicopathological features and prognostic implications of ASCL1 expression in surgically resected small cell lung cancer. Thorac. Cancer 12, 40–47 (2021).

    Google Scholar 

  79. Augustyn, A. et al. ASCL1 is a lineage oncogene providing therapeutic targets for high-grade neuroendocrine lung cancers. Proc. Natl. Acad. Sci. USA 111, 14788–14793 (2014).

    Google Scholar 

  80. Olsen, R. R. et al. ASCL1 represses a SOX9(+) neural crest stem-like state in small cell lung cancer. Genes Dev. 35, 847–869 (2021).

    Google Scholar 

  81. Woods, L. M. et al. Elevated ASCL1 activity creates de novo regulatory elements associated with neuronal differentiation. BMC Genomics 23, 255 (2022).

    Google Scholar 

  82. Skoulidis, F. et al. Co-occurring genomic alterations define major subsets of KRAS-mutant lung adenocarcinoma with distinct biology, immune profiles, and therapeutic vulnerabilities. Cancer Discov. 5, 860–877 (2015).

    Google Scholar 

  83. Xiao, Z., Zou, Q., Liu, Y. & Yang, X. Genome-wide assessment of differential translations with ribosome profiling data. Nat. Commun. 7, 11194 (2016).

    Google Scholar 

  84. Lin, Y. et al. eIF3 Associates with 80S Ribosomes to Promote Translation Elongation, Mitochondrial Homeostasis, and Muscle Health. Mol. Cell 79, 575–587.e577 (2020).

    Google Scholar 

  85. Li, F. et al. Reanalysis of ribosome profiling datasets reveals a function of rocaglamide A in perturbing the dynamics of translation elongation via eIF4A. Nat. Commun. 14, 553 (2023).

    Google Scholar 

  86. Xiao, Z. et al. De novo annotation and characterization of the translatome with ribosome profiling data. Nucleic Acids Res. 46, e61 (2018).

    Google Scholar 

  87. Zhu, Y., Li, F., Yang, X. & Xiao, Z. De novo identification of actively translated open reading frames with ribosome profiling data. J. Vis. Exp. https://doi.org/10.3791/63366 (2022).

  88. Li, F., Xing, X., Xiao, Z., Xu, G. & Yang, X. RiboMiner: a toolset for mining multi-dimensional features of the translatome with ribosome profiling data. BMC Bioinforma. 21, 340 (2020).

    Google Scholar 

  89. Khajuria, R. K. et al. Ribosome levels selectively regulate translation and lineage commitment in human hematopoiesis. Cell 173, 90–103.e119 (2018).

    Google Scholar 

  90. Wang, D. et al. Schwann cell-derived EVs facilitate dental pulp regeneration through endogenous stem cell recruitment via SDF-1/CXCR4 axis. Acta Biomater. 140, 610–624 (2022).

    Google Scholar 

  91. Killarney, S. T. et al. PKN2 is a dependency of the mesenchymal-like cancer cell state. Cancer Discov. 15, 595–615 (2025).

    Google Scholar 

Download references

Acknowledgements

S.S. acknowledges grant support from the National Natural Science Foundation of China (grant no. 82473387) and from the National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University (grant no. Y2022JC002). L. Liu acknowledges financial support ZYGD18021 and ZYJC21002 from the 1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University. M.C. acknowledges grant support from Agence nationale de la recherche of France (grant no. ANR-23-CE14-0023). We thank Li Li, Fei Chen, Chunjuan Bao and Yang Deng from the Institute of Clinical Pathology, West China Hospital of Sichuan University for their technical support with histological staining. We thank Prof. Trudy G Oliver (Duke University, USA) for her generous suggestions for the RPM mouse model.

Author information

Author notes
  1. These authors contributed equally: Haoning Peng, Zhile Wang, Mengyao Wang.

Authors and Affiliations

  1. Institute of Thoracic Oncology, Frontiers Science Center for Disease-related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China

    Haoning Peng, Zhile Wang, Mengyao Wang, Zheyu Ding, Kaixiu Li, Yuqing Wang, Yulan Deng, Yi Liu, Qiang Pu, Lunxu Liu & Shensi Shen

  2. Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China

    Haoning Peng, Zhile Wang, Yi Liu, Qiang Pu, Lunxu Liu & Shensi Shen

  3. Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China

    Haoning Peng

  4. Department of Pathology, West China Hospital, Sichuan University, Chengdu, China

    Xuejiao Yu, Siyang Song & Weiya Wang

  5. Lung Cancer Center, West China Hospital, Sichuan University, Chengdu, China

    Lu Li

  6. INSERM, U1065, Equipe 12, Centre Méditerranéen de Médecine Moléculaire (C3M), Nice, France

    Michael Cerezo

  7. Université Côte d’Azur, Nice, France

    Michael Cerezo

Authors
  1. Haoning Peng
    View author publications

    Search author on:PubMed Google Scholar

  2. Zhile Wang
    View author publications

    Search author on:PubMed Google Scholar

  3. Mengyao Wang
    View author publications

    Search author on:PubMed Google Scholar

  4. Zheyu Ding
    View author publications

    Search author on:PubMed Google Scholar

  5. Kaixiu Li
    View author publications

    Search author on:PubMed Google Scholar

  6. Yuqing Wang
    View author publications

    Search author on:PubMed Google Scholar

  7. Xuejiao Yu
    View author publications

    Search author on:PubMed Google Scholar

  8. Siyang Song
    View author publications

    Search author on:PubMed Google Scholar

  9. Yulan Deng
    View author publications

    Search author on:PubMed Google Scholar

  10. Yi Liu
    View author publications

    Search author on:PubMed Google Scholar

  11. Qiang Pu
    View author publications

    Search author on:PubMed Google Scholar

  12. Lu Li
    View author publications

    Search author on:PubMed Google Scholar

  13. Michael Cerezo
    View author publications

    Search author on:PubMed Google Scholar

  14. Weiya Wang
    View author publications

    Search author on:PubMed Google Scholar

  15. Lunxu Liu
    View author publications

    Search author on:PubMed Google Scholar

  16. Shensi Shen
    View author publications

    Search author on:PubMed Google Scholar

Contributions

H.P., Z.W. and M.W. are co-first authors and contributed equally. S.S. and H.P. designed the study. S.S., H.P., L.L., Z.W., M.W. and M.C. interpreted the data and wrote the original draft of the manuscript. H.P., Z.W., M.W., Z. D., K.L., performed RNA-seq and polysome profiling. H.P., Z.W., and M.W. performed ribosome mass spectrometry. H.P., Z.W. and M.W. performed the in vivo experiment. H.P., Z.D., Y.W., M.C., and Y.D. performed bioinformatics analysis. Y.L. performed protein structure analyses. S.S., H.P. and Z.W. performed patient sample multiplex staining and developed an image analysis pipeline. S.Song., X.Y., L.L. and W.W. performed histopathology analysis. Q.P. and L.Liu. provided administrative support and data resources, collected patient samples. S.S. supervised the overall study, provided strategic oversight and conceived the study.

Corresponding authors

Correspondence to Lunxu Liu or Shensi Shen.

Ethics declarations

Competing interests

The authors declare the following competing interests: S. Shen reports personal fees from Agence nationale de la recherche (France), Krebsliga Schweiz (Switzerland), KWF Kankerbestrijding (Netherlands), Austrian Research Funding, Belgian Foundation against Cancer, Shenzhen Medical Academy of Research and Translation (China), and serving as an Associate Editor for Oncogenesis (Springer Nature, London, UK); M. Cerezo is a CSO for BiPer Therapeutics (Strasbourg, France) and reports personal fees from European Commission. The remaining authors declare no competing interests.

Peer review

Peer review information

Nature Communications thanks Pierre Close, Oskar Marin-Bejar and the other anonymous reviewer(s) for their contribution to the peer review of this work. A peer review file is available.

Additional information

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

Supplementary information

Supplementary Infomation

Descriptions of Additional Supplementary Files

Supplementary Data 1

Supplementary Data 2

Supplementary Data 3

Supplementary Data 4

Supplementary Data 5

Supplementary Data 6

Reporting Summary

Transparent Peer Review file

Source data

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Peng, H., Wang, Z., Wang, M. et al. Eukaryote initiation factor 6 modulates small-cell lung carcinoma plasticity via the integrin-FAK signaling axis. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69899-8

Download citation

  • Received: 04 May 2025

  • Accepted: 11 February 2026

  • Published: 24 February 2026

  • DOI: https://doi.org/10.1038/s41467-026-69899-8

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Download PDF

Advertisement

Explore content

  • Research articles
  • Reviews & Analysis
  • News & Comment
  • Videos
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • Aims & Scope
  • Editors
  • Journal Information
  • Open Access Fees and Funding
  • Calls for Papers
  • Editorial Values Statement
  • Journal Metrics
  • Editors' Highlights
  • Contact
  • Editorial policies
  • Top Articles

Publish with us

  • For authors
  • For Reviewers
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Nature Communications (Nat Commun)

ISSN 2041-1723 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing