Cited by 15RNA Research and SplicingCancer-related Molecular PathwaysSarcoma Diagnosis and Treatment

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

The RNA binding proteins LARP4A and LARP4B promote sarcoma and carcinoma growth and metastasis

Open access

Published version of a preprint

Abstract

RNA-binding proteins (RBPs) are emerging as important regulators of cancer pathogenesis. We reveal that the RBPs LARP4A and LARP4B are differentially overexpressed in osteosarcoma and osteosarcoma lung metastases, as well as in prostate cancer. Depletion of LARP4A and LARP4B reduced tumor growth and metastatic spread in xenografts, as well as inhibiting cell proliferation, motility, and migration. Transcriptomic profiling and high-content multiparametric analyses unveiled a central role for LARP4B, but not LARP4A, in regulating cell cycle progression in osteosarcoma and prostate cancer cells, potentially through modulating key cell cycle proteins such as Cyclins B1 and E2, Aurora B, and E2F1. This first systematic comparison between LARP4A and LARP4B assigns new pro-tumorigenic functions to LARP4A and LARP4B in bone and prostate cancer, highlighting their similarities while also indicating distinct functional differences. Uncovering clear biological roles for these paralogous proteins provides new avenues for identifying tissue-specific targets and potential druggable intervention.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.isci.2024.109288

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 86

  1. Hanahan, 2011, Hallmarks of cancer: the next generation, Cell, 144, 646, 10.1016/j.cell.2011.02.013 · DOI · Paper page
  2. Sharp, 2009, The Centrality of RNA, Cell, 136, 577, 10.1016/j.cell.2009.02.007 · DOI
  3. Müller-McNicoll, 2013, How cells get the message: dynamic assembly and function of mRNA–protein complexes, Nat. Rev. Genet., 14, 275, 10.1038/nrg3434 · DOI
  4. Castello, 2012, Insights into RNA biology from an atlas of mammalian mRNA-binding proteins, Cell, 149, 1393, 10.1016/j.cell.2012.04.031 · DOI · Paper page
  5. Choi, 2021, RNA-binding proteins of COSMIC importance in cancer, J. Clin. Invest., 131, 10.1172/JCI151627 · DOI
  6. Lukong, 2008, RNA-binding proteins in human genetic disease, Trends Genet., 24, 416, 10.1016/j.tig.2008.05.004 · DOI
  7. Kang, 2020, RNA-Binding Proteins in Cancer: Functional and Therapeutic Perspectives, Cancers, 12, 2699, 10.3390/cancers12092699 · DOI
  8. Maraia, 2017, The La and related RNA-binding proteins (LARPs): structures, functions, and evolving perspectives, WIREs RNA, 8, 10.1002/wrna.1430 · DOI
  9. Bousquet-Antonelli, 2009, A comprehensive analysis of the La-motif protein superfamily, RNA, 15, 750, 10.1261/rna.1478709 · DOI
  10. Dock-Bregeon, 2021, The La-related proteins: structures and interactions of a versatile superfamily of RNA-binding proteins, RNA Biol., 18, 178, 10.1080/15476286.2019.1695712 · DOI
  11. Lizarrondo, 2021, Structural dynamics in the La-module of La-related proteins, RNA Biol., 18, 194, 10.1080/15476286.2020.1733799 · DOI
  12. Martino, 2015, Synergic interplay of the La motif, RRM1 and the interdomain linker of LARP6 in the recognition of collagen mRNA expands the RNA binding repertoire of the La module, Nucleic Acids Res., 43, 645, 10.1093/nar/gku1287 · DOI
  13. Kotik-Kogan, 2008, Structural analysis reveals conformational plasticity in the recognition of RNA 3' ends by the human La protein, Structure, 16, 852, 10.1016/j.str.2008.02.021 · DOI
  14. Alfano, 2004, Structural analysis of cooperative RNA binding by the La motif and central RRM domain of human La protein, Nat. Struct. Mol. Biol., 11, 323, 10.1038/nsmb747 · DOI
  15. Uchikawa, 2015, Structural insight into the mechanism of stabilization of the 7SK small nuclear RNA by LARP7, Nucleic Acids Res., 43, 3373, 10.1093/nar/gkv173 · DOI
  16. Kozlov, 2022, Structural basis of 3'-end poly(A) RNA recognition by LARP1, Nucleic Acids Res., 50, 9534, 10.1093/nar/gkac696 · DOI
  17. Cruz-Gallardo, 2019, LARP4A recognizes polyA RNA via a novel binding mechanism mediated by disordered regions and involving the PAM2w motif, revealing interplay between PABP, LARP4A and mRNA, Nucleic Acids Res., 47, 4272, 10.1093/nar/gkz144 · DOI
  18. Stavraka, 2015, The La-Related Proteins, a Family with Connections to Cancer, Biomolecules, 5, 2701, 10.3390/biom5042701 · DOI
  19. Grimm, 2020, Crystal Structure of a Variant PAM2 Motif of LARP4B Bound to the MLLE Domain of PABPC1, Biomolecules, 10, 10.3390/biom10060872 · DOI
  20. Schäffler, 2010, A stimulatory role for the La-related protein 4B in translation, RNA, 16, 1488, 10.1261/rna.2146910 · DOI
  21. Yang, 2011, La-Related Protein 4 Binds Poly(A), Interacts with the Poly(A)-Binding Protein MLLE Domain via a Variant PAM2w Motif, and Can Promote mRNA Stability, Mol. Cell Biol., 31, 542, 10.1128/MCB.01162-10 · DOI
  22. Küspert, 2015, LARP4B is an AU-rich sequence associated factor that promotes mRNA accumulation and translation, RNA, 21, 1294, 10.1261/rna.051441.115 · DOI
  23. Ranjan, 2023, A conserved region of LARP4 that binds RACK1 promotes ARE-mRNA stabilization and translation, SSRN
  24. Mattijssen, 2017, LARP4 mRNA codon-tRNA match contributes to LARP4 activity for ribosomal protein mRNA poly(A) tail length protection, Elife, 6, 10.7554/eLife.28889 · DOI
  25. Mattijssen, 2020, Single molecule poly(A) tail-seq shows LARP4 opposes deadenylation throughout mRNA lifespan with most impact on short tails, Elife, 9, 10.7554/eLife.59186 · DOI
  26. Tian, 2020, Transcriptome-wide stability analysis uncovers LARP4-mediated NFkappaB1 mRNA stabilization during T cell activation, Nucleic Acids Res., 48, 8724, 10.1093/nar/gkaa643 · DOI
  27. Kim, 2021, The regulatory impact of RNA-binding proteins on microRNA targeting, Nat. Commun., 12, 5057, 10.1038/s41467-021-25078-5 · DOI
  28. Gabrovsek, 2020, A-kinase-anchoring protein 1 (dAKAP1)-based signaling complexes coordinate local protein synthesis at the mitochondrial surface, J. Biol. Chem., 295, 10749, 10.1074/jbc.RA120.013454 · DOI
  29. Funakoshi, 2018, Overexpression of Larp4B downregulates dMyc and reduces cell and organ sizes in Drosophila, Biochem. Biophys. Res. Commun., 497, 762, 10.1016/j.bbrc.2018.02.148 · DOI
  30. Deragon, 2021, Distribution, organization an evolutionary history of La and LARPs in eukaryotes, RNA Biol., 18, 159, 10.1080/15476286.2020.1739930 · DOI
  31. Merret, 2013, The association of a La module with the PABP-interacting motif PAM2 is a recurrent evolutionary process that led to the neofunctionalization of La-related proteins, RNA, 19, 36, 10.1261/rna.035469.112 · DOI
  32. Coleman, 2023, LARP4A and LARP4B in cancer: The new kids on the block, Int. J. Biochem. Cell Biol., 161, 10.1016/j.biocel.2023.106441 · DOI
  33. Bai, 2011, Identification and characterization of a set of conserved and new regulators of cytoskeletal organization, cell morphology and migration, BMC Biol., 9, 54, 10.1186/1741-7007-9-54 · DOI
  34. Egiz, 2019, La-Related Protein 4 as a Suppressor for Motility of Ovarian Cancer Cells, Tohoku J. Exp. Med., 247, 59, 10.1620/tjem.247.59 · DOI
  35. Seetharaman, 2016, The RNA-binding protein LARP4 regulates cancer cell migration and invasion, Cytoskeleton, 73, 680, 10.1002/cm.21336 · DOI
  36. Koso, 2012, Transposon mutagenesis identifies genes that transform neural stem cells into glioma-initiating cells, Proc. Natl. Acad. Sci. USA, 109, E2998, 10.1073/pnas.1215899109 · DOI
  37. Koso, 2016, Identification of RNA-Binding Protein LARP4B as a Tumor Suppressor in Glioma, Cancer Res., 76, 2254, 10.1158/0008-5472.CAN-15-2308 · DOI
  38. Zhang, 2015, La-related protein 4B maintains murine MLL-AF9 leukemia stem cell self-renewal by regulating cell cycle progression, Exp. Hematol., 43, 309, 10.1016/j.exphem.2014.12.003 · DOI
  39. Li, 2019, Expression of La Ribonucleoprotein Domain Family Member 4B (LARP4B) in Liver Cancer and Their Clinical and Prognostic Significance, Dis. Markers, 2019, 1569049, 10.1155/2019/1569049 · DOI
  40. Takeda, 2015, Transposon mutagenesis identifies genes and evolutionary forces driving gastrointestinal tract tumor progression, Nat. Genet., 47, 142, 10.1038/ng.3175 · DOI
  41. Bard-Chapeau, 2014, Transposon mutagenesis identifies genes driving hepatocellular carcinoma in a chronic hepatitis B mouse model, Nat. Genet., 46, 24, 10.1038/ng.2847 · DOI
  42. Rahrmann, 2013, Forward genetic screen for malignant peripheral nerve sheath tumor formation identifies new genes and pathways driving tumorigenesis, Nat. Genet., 45, 756, 10.1038/ng.2641 · DOI
  43. Wu, 2012, Clonal selection drives genetic divergence of metastatic medulloblastoma, Nature, 482, 529, 10.1038/nature10825 · DOI
  44. Hu, 2017, A pan-cancer genome-wide analysis reveals tumour dependencies by induction of nonsense-mediated decay, Nat. Commun., 8, 10.1038/ncomms15943 · DOI
  45. Grigoriadis, 1993, Osteoblasts are target cells for transformation in c-fos transgenic mice, J. Cell Biol., 122, 685, 10.1083/jcb.122.3.685 · DOI
  46. Weekes, 2016, Regulation of osteosarcoma cell lung metastasis by the c-Fos/AP-1 target FGFR1, Oncogene, 35, 2852, 10.1038/onc.2015.344 · DOI
  47. Zeng, 2019, Selecting precise reference normal tissue samples for cancer research using a deep learning approach, BMC Med. Genomics, 12, 10.1186/s12920-018-0463-6 · DOI
  48. Tattersall, 2021, The P2RX7B splice variant modulates osteosarcoma cell behaviour and metastatic properties, J. Bone Oncol., 31
  49. Massey, 2015, Multiparametric Cell Cycle Analysis Using the Operetta High-Content Imager and Harmony Software with PhenoLOGIC, PLoS One, 10, 10.1371/journal.pone.0134306 · DOI
  50. Yang, 2019, Cdc7 activates replication checkpoint by phosphorylating the Chk1-binding domain of Claspin in human cells, Elife, 8, 10.7554/eLife.50796 · DOI
  51. Denechaud, 2017, E2F1, a Novel Regulator of Metabolism, Front. Endocrinol., 8, 311, 10.3389/fendo.2017.00311 · DOI
  52. Uxa, 2021, Ki-67 gene expression, Cell Death Differ., 28, 3357, 10.1038/s41418-021-00823-x · DOI
  53. Misra, 2010, Cell cycle-dependent regulation of the bi-directional overlapping promoter of human BRCA2/ZAR2 genes in breast cancer cells, Mol. Cancer, 9, 50, 10.1186/1476-4598-9-50 · DOI
  54. Lewis, 2024, LARP4 Is an RNA-binding protein that binds nuclear-encoded mitochondrial mRNAs to promote mitochondrial function, RNA, 30, 223, 10.1261/rna.079799.123 · DOI
  55. Ben-Salem, 2021, Novel insights in cell cycle dysregulation during prostate cancer progression, Endocr. Relat. Cancer, 28, R141, 10.1530/ERC-20-0517 · DOI
  56. Cheng, 2016, Cell Cycle Kinases in Osteosarcoma: Potential for Therapeutic Intervention, Curr. Pharm. Des., 22, 4830, 10.2174/1381612822666160512151028 · DOI
  57. Bavetsias, 2015, Aurora Kinase Inhibitors: Current Status and Outlook, Front. Oncol., 5, 278, 10.3389/fonc.2015.00278 · DOI
  58. Zhu, 2014, Knockdown of Aurora-B inhibits osteosarcoma cell invasion and migration via modulating PI3K/Akt/NF-kappaB signaling pathway, Int. J. Clin. Exp. Pathol., 7, 3984
  59. Chieffi, 2006, Aurora B expression directly correlates with prostate cancer malignancy and influence prostate cell proliferation, Prostate, 66, 326, 10.1002/pros.20345 · DOI
  60. Nyquist, 2020, Combined TP53 and RB1 Loss Promotes Prostate Cancer Resistance to a Spectrum of Therapeutics and Confers Vulnerability to Replication Stress, Cell Rep., 31, 10.1016/j.celrep.2020.107669 · DOI
  61. Zhang, 2022, A transcriptomic signature for prostate cancer relapse prediction identified from the differentially expressed genes between TP53 mutant and wild-type tumors, Sci. Rep., 12
  62. Bisogno, 2018, RNA regulons in cancer and inflammation, Curr. Opin. Genet. Dev., 48, 97, 10.1016/j.gde.2017.11.004 · DOI
  63. Blackinton, 2014, Post-transcriptional RNA regulons affecting cell cycle and proliferation, Semin. Cell Dev. Biol., 34, 44, 10.1016/j.semcdb.2014.05.014 · DOI
  64. Epstein, 2014, Separation of metabolic supply and demand: aerobic glycolysis as a normal physiological response to fluctuating energetic demands in the membrane, Cancer Metab., 2, 7, 10.1186/2049-3002-2-7 · DOI
  65. Shiraishi, 2015, Glycolysis is the primary bioenergetic pathway for cell motility and cytoskeletal remodeling in human prostate and breast cancer cells, Oncotarget, 6, 130, 10.18632/oncotarget.2766 · DOI
  66. Zanotelli, 2021, Mechanoresponsive metabolism in cancer cell migration and metastasis, Cell Metab., 33, 1307, 10.1016/j.cmet.2021.04.002 · DOI
  67. Gilbertson, 2018, Changes in mRNA abundance drive shuttling of RNA binding proteins, linking cytoplasmic RNA degradation to transcription, Elife, 7, 10.7554/eLife.37663 · DOI
  68. Conrad, 2016, Serial interactome capture of the human cell nucleus, Nat. Commun., 7, 10.1038/ncomms11212 · DOI
  69. Mao, 2023, Interaction of LARP4 to filamin A mechanosensing domain regulates cell migrations, Front. Cell Dev. Biol., 11, 10.3389/fcell.2023.1152109 · DOI
  70. Denisenko, 2019, Mitochondrial Involvement in Migration, Invasion and Metastasis, Front. Cell Dev. Biol., 7, 355, 10.3389/fcell.2019.00355 · DOI
  71. Valcarcel-Jimenez, 2017, Mitochondrial Metabolism: Yin and Yang for Tumor Progression, Trends Endocrinol. Metab., 28, 748, 10.1016/j.tem.2017.06.004 · DOI
  72. Yadav, 2022, Mitochondria-actin cytoskeleton crosstalk in cell migration, J. Cell. Physiol., 237, 2387, 10.1002/jcp.30729 · DOI
  73. Zhang, 2021, Development and Validation of Ten-RNA Binding Protein Signature Predicts Overall Survival in Osteosarcoma, Front. Mol. Biosci., 8, 10.3389/fmolb.2021.751842 · DOI
  74. Gao, 2020, Development and validation of a six-RNA binding proteins prognostic signature and candidate drugs for prostate cancer, Genomics, 112, 4980, 10.1016/j.ygeno.2020.08.034 · DOI
  75. Bankhead, 2017, QuPath: Open source software for digital pathology image analysis, Sci. Rep., 7, 10.1038/s41598-017-17204-5 · DOI · Paper page
  76. Bolte, 2006, A guided tour into subcellular colocalization analysis in light microscopy, J. Microsc., 224, 213, 10.1111/j.1365-2818.2006.01706.x · DOI
  77. Schneider, 2012, NIH Image to ImageJ: 25 years of image analysis, Nat. Methods, 9, 671, 10.1038/nmeth.2089 · DOI · Paper page
  78. Kim, 2015, HISAT: a fast spliced aligner with low memory requirements, Nat. Methods, 12, 357, 10.1038/nmeth.3317 · DOI · Paper page
  79. Liao, 2014, featureCounts: an efficient general purpose program for assigning sequence reads to genomic features, Bioinformatics, 30, 923, 10.1093/bioinformatics/btt656 · DOI · Paper page
  80. Liu, 2015, Why weight? Modelling sample and observational level variability improves power in RNA-seq analyses, Nucleic Acids Res., 43, e97, 10.1093/nar/gkv412 · DOI
  81. Robinson, 2010, edgeR: a Bioconductor package for differential expression analysis of digital gene expression data, Bioinformatics, 26, 139, 10.1093/bioinformatics/btp616 · DOI · Paper page
  82. Chen, 2013, Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool, BMC Bioinf., 14, 128, 10.1186/1471-2105-14-128 · DOI · Paper page
  83. Goldman, 2018, The UCSC Xena platform for public and private cancer genomics data visualization and interpretation, bioRxiv
  84. Kent, 2002, The human genome browser at UCSC, Genome Res., 12, 996, 10.1101/gr.229102 · DOI · Paper page
  85. Kuleshov, 2016, Enrichr: a comprehensive gene set enrichment analysis web server 2016 update, Nucleic Acids Res., 44, W90, 10.1093/nar/gkw377 · DOI · Paper page
  86. Xie, 2021, Gene Set Knowledge Discovery with Enrichr, Curr. Protoc., 1, e90, 10.1002/cpz1.90 · DOI · Paper page

Metadata

Authors
Coleman, J. C., Tattersall, L., Yianni, V., Knight, L., Yu, H., Hallett, S. R., Johnson, P., Caetano, A. J., Cosstick, C., Ridley, A. J., Gartland, A., Conte, M. R., & Grigoriadis, A. E.
Affiliations
  • King's College London (GB)
  • University of Sheffield (GB)
  • University of Bristol (GB)
Corresponding author
  • Conte, Maria R.
  • Grigoriadis, Agamemnon E.
Venue
iScience
Publisher
Elsevier BV
Published
2024-04
Volume
27
Issue
4
Pages
109288
ISSN
2589-0042 (ISSN-L)
OpenAlex
W4392131697
Cited by
15
References
5
Citations by year
2026: 2 · 2025: 8 · 2024: 3
FWCI
1.77
Type
journal article
Language
en
Open access
Locations
  • iScience (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion, cc-by)
Funders
  • King's College London
  • Medical Research Council (MR/N013700/1)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
  • Health Sciences › Medicine › Oncology › Sarcoma Diagnosis and Treatment
Keywords
LARP4B, RNA-binding proteins, osteosarcoma, prostate cancer, lung metastasis, tumor growth, cell cycle regulation, cyclin B1, cyclin E2, Aurora B kinase, E2F1, cell migration, cell proliferation, paralogous proteins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review