PreprintCited by 8Protein Kinase Regulation and GTPase SignalingProtein Tyrosine PhosphatasesMelanoma and MAPK Pathways

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Illuminating oncogenic KRAS signaling by multi-dimensional chemical proteomics

Open access

Preprint — published as 10.1126/scisignal.adt6552 · Paper page

Abstract

Mutated KRAS is among the most frequent activating genetic alterations in cancer and drug discovery efforts have led to inhibitors that block its activity. To better understand oncogenic KRAS signaling and the cytostatic effects of drugs, we performed comprehensive dose-dependent proteome-wide target deconvolution, pathway engagement and protein expression characterization of KRAS, MEK, ERK, SHP2 and SOS1 inhibitors in pancreatic (KRAS G12C, G12D) and lung cancer (KRAS G12C) cells. Analysis of the resulting 687,954 dose-response curves available online revealed both common and cell line-specific signaling networks dominated by oncogenic KRAS activity. Time-dose experiments separated early KRAS-MEK-ERK from CDK-mediated signaling that cause cells to exit from the cell cycle. This transition to a quiescent state occurred without substantial proteome re-modelling but extensive changes of protein phosphorylation and ubiquitylation. The collective data highlights the complexity of KRAS signaling in cancer and places a large number of new proteins into this functional context.

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 · 10.1101/2025.01.30.635627

Cites

1 of 1 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

Show all 1 references

Research works printed but not linked: 62

  1. 10.1038/s41467-019-13993-7 · DOI · Paper page
  2. 10.1126/scitranslmed.aaw8412 · DOI
  3. 10.1038/s41467-016-0009-6 · DOI · Paper page
  4. 10.1126/science.ade3925 · DOI
  5. Y. C. Chang et al., Decrypting lysine deacetylase inhibitor action and protein modifications by dose-resolved proteomics. Cell Reports 43, 114272 (2024). · DOI
  6. 10.1016/j.cels.2018.03.012 · DOI
  7. 10.1002/1873-3468.12740 · DOI
  8. 10.1158/1078-0432.CCR-20-3872 · DOI · Paper page
  9. 10.1074/mcp.M114.047233 · DOI · Paper page
  10. 2024, Determining the ERK-regulated phosphoproteome driving KRAS-mutant cancer, Science (New York, N.Y.), 384, eadk0850, 10.1126/science.adk0850 · DOI · Paper page
  11. 10.1038/s41392-020-00451-w · DOI
  12. 10.1021/acs.jmedchem.9b01180 · DOI · Paper page
  13. 10.1021/acs.jmedchem.9b02052 · DOI · Paper page
  14. 10.1126/science.adm8684 · DOI · Paper page
  15. 10.1038/s41586-023-06123-3 · DOI · Paper page
  16. 10.1038/s41573-020-0068-6 · DOI · Paper page
  17. 10.1038/s41586-024-07205-6 · DOI · Paper page
  18. 10.1093/nar/gkab1026 · DOI
  19. S. Eckert et al., Decrypting the molecular basis of cellular drug phenotypes by dose-resolved expression proteomics. Nature Biotechnology 2024, 1–10 (2024). · DOI
  20. 10.1038/s41587-020-00778-3 · DOI · Paper page
  21. F. P. Bayer et al., CurveCurator: a recalibrated F-statistic to assess, classify, and explore significance of dose–response curves. Nature Communications 14 (2023). · DOI
  22. 10.1038/S41586-022-05575-3 · DOI · Paper page
  23. 10.1038/s41586-024-07407-y · DOI · Paper page
  24. 10.1038/nrm2509 · DOI · Paper page
  25. 10.1002/j.1460-2075.1995.tb00160.x · DOI
  26. 10.1074/jbc.M109.001685 · DOI
  27. 10.1016/j.cell.2009.12.032 · DOI · Paper page
  28. M. Courcelles et al., Phosphoproteome dynamics reveal novel ERK1/2 MAP kinase substrates with broad spectrum of functions. Molecular Systems Biology 9, 669 (2013). · DOI
  29. 10.1074/mcp.M900285-MCP200 · DOI
  30. 10.1158/1078-0432.CCR-19-3523 · DOI · Paper page
  31. J. Y. Xue et al., Rapid non-uniform adaptation to conformation-specific KRASG12C inhibition. Nature 577, 421 (2020). · DOI · Paper page
  32. 10.1002/1878-0261.12102 · DOI
  33. 10.1038/nrm.2016.67 · DOI
  34. K. Stamatiou et al., CCDC86 is a novel Ki-67-interacting protein important for cell division. Journal of Cell Science 136 (2023). · DOI
  35. 10.1126/science.adk0775 · DOI
  36. 10.1073/pnas.1905488116 · DOI
  37. 10.1016/j.str.2019.05.008 · DOI
  38. 10.1016/j.cell.2024.03.024 · DOI
  39. H. Miyashita et al., KRAS G12C inhibitor combination therapies: current evidence and challenge. Frontiers in Oncology 14, 1380584 (2024). · DOI
  40. K. Fukuda et al., Targeting WEE1 enhances the antitumor effect of KRAS-mutated non-small cell lung cancer harboring TP53 mutations. Cell Reports Medicine 5 (2024). · DOI · Paper page
  41. 10.1074/mcp.TIR119.001385 · DOI
  42. 10.1038/Nbt.1511 · DOI · Paper page
  43. 10.1021/pr101065j · DOI
  44. 10.1074/mcp.RA117.000543 · DOI
  45. Z. Lv et al., Crystal structure of a human ubiquitin E1–ubiquitin complex reveals conserved functional elements essential for activity. The Journal of Biological Chemistry 293, 18337 (2018). · DOI
  46. F. Hamood et al., SIMSI-Transfer: Software-Assisted Reduction of Missing Values in Phosphoproteomic and Proteomic Isobaric Labeling Data Using Tandem Mass Spectrum Clustering. Molecular & Cellular Proteomics 21, 100238 (2022). · DOI
  47. 10.1038/s41592-019-0582-9 · DOI
  48. 10.1016/j.devcel.2011.06.020 · DOI
  49. 10.1038/s41586-022-05638-5 · DOI
  50. 10.1021/acs.jcim.5b00654 · DOI
  51. 10.1007/978-1-4939-6747-6_8 · DOI
  52. 10.1038/s41467-019-13993-7 · DOI · Paper page
  53. 10.1021/acschembio.8b01020 · DOI
  54. 10.1093/bioinformatics/btq054 · DOI · Paper page
  55. 10.1074/mcp.M113.031591 · DOI · Paper page
  56. 10.1371/journal.pone.0146021 · DOI
  57. 10.1021/acs.jproteome.8b00702 · DOI
  58. J. Müller , et al., PTMNavigator: Interactive Visualization of Differentially Regulated Post-Translational Modifications in Cellular Signaling Pathways. bioRxiv, 2023.08.31.555601 (2024). · DOI
  59. 10.1093/nar/gkaa1100 · DOI · Paper page
  60. 10.1016/j.cell.2018.01.029 · DOI · Paper page
  61. 10.1074/jbc.273.45.29367 · DOI
  62. 10.1007/s00018-016-2297-8 · DOI · Paper page

Metadata

Authors
Kabella, N., Bayer, F. P., Stamatiou, K., Abele, M., Sakhteman, A., Chang, Y.-C., Wagner, V., Gabriel, A., Krumm, J., Reinecke, M., Holzner, M., Aigner, M., The, M., Hahne, H., Bassermann, F., Ludwig, C., Vagnarelli, P., & Kuster, B.
Affiliations
  • Technical University of Munich (DE)
  • Brunel University of London (GB)
  • TUM Klinikum (DE)
Venue
Science Signaling
Publisher
openRxiv
Published
2025-02-01
Volume
18
Issue
897
Pages
eadt6552-eadt6552
ISSN
1937-9145 (ISSN-L)
OpenAlex
W4412721444
Cited by
8
References
1
Citations by year
2026: 6 · 2025: 2
FWCI
2.39
Type
journal article
Language
en
Open access
Locations
  • Science Signaling (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
  • PubMed (publishedVersion)
  • Brunel University Research Archive (BURA) (Brunel University London) (publishedVersion)
  • Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion, cc-by-nc-nd)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
Funders
  • Wellcome Trust (210742/Z/18/Z)
  • European Commission (833710, HORIZON2020)
  • Deutsche Forschungsgemeinschaft (SFB 1309, SFB1321)
  • Bundesministerium für Bildung und Forschung (031L0305A)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Tyrosine Phosphatases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Melanoma and MAPK Pathways
Keywords
KRAS G12C, KRAS G12D, KRAS inhibitors, MEK/ERK signaling, SHP2, SOS1, phosphoproteome, ubiquitination, cell cycle exit, drug resistance, pancreatic cancer, lung cancer, post-translational modification
MeSH terms
Humans, Lung Neoplasms, Mutation, Pancreatic Neoplasms, Signal Transduction, Proto-Oncogene Proteins p21(ras), Proteome, SOS1 Protein, MAP Kinase Signaling System, Proteomics, Cell Line, Tumor, Protein Tyrosine Phosphatase, Non-Receptor Type 11

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