Cited by 27Advanced Proteomics Techniques and ApplicationsColorectal Cancer Treatments and StudiesCancer Genomics and Diagnostics

Functional and spatial proteomics profiling reveals intra- and intercellular signaling crosstalk in colorectal cancer

Open access
Plattner, Christina, Lamberti, Giorgia, Blattmann, Peter, Kirchmair, Alexander, Rieder, Dietmar, Loncova, Zuzana, Sturm, Gregor, Scheidl, Stefan +22 more·2023·iScience

Published version of a preprint

Abstract

Precision oncology approaches for patients with colorectal cancer (CRC) continue to lag behind other solid cancers. Functional precision oncology-a strategy that is based on perturbing primary tumor cells from cancer patients-could provide a road forward to personalize treatment. We extend this paradigm to measuring proteome activity landscapes by acquiring quantitative phosphoproteomic data from patient-derived organoids (PDOs). We show that kinase inhibitors induce inhibitor- and patient-specific off-target effects and pathway crosstalk. Reconstruction of the kinase networks revealed that the signaling rewiring is modestly affected by mutations. We show non-genetic heterogeneity of the PDOs and upregulation of stemness and differentiation genes by kinase inhibitors. Using imaging mass-cytometry-based profiling of the primary tumors, we characterize the tumor microenvironment (TME) and determine spatial heterocellular crosstalk and tumor-immune cell interactions. Collectively, we provide a framework for inferring tumor cell intrinsic signaling and external signaling from the TME to inform precision (immuno-) oncology in CRC.

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Authors
Plattner, C., Lamberti, G., Blattmann, P., Kirchmair, A., Rieder, D., Loncova, Z., Sturm, G., Scheidl, S., Ijsselsteijn, M., Fotakis, G., Noureen, A., Lisandrelli, R., Böck, N., Nemati, N., Krogsdam, A., Daum, S., Finotello, F., Somarakis, A., Schäfer, A., Wilflingseder, D., Gonzalez Acera, M., Öfner, D., Huber, L. A., Clevers, H., Becker, C., Farin, H. F., Greten, F. R., Aebersold, R., de Miranda, N. F. C. C., & Trajanoski, Z.
Affiliations
  • Innsbruck Medical University (AT)
  • ETH Zurich (CH)
  • Leiden University Medical Center (NL)
  • Hubrecht Institute for Developmental Biology and Stem Cell Research (NL)
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
  • Goethe University Frankfurt (DE)
Corresponding author
Trajanoski, Zlatko
Venue
iScience
Publisher
Elsevier BV
Published
2023-12
Volume
26
Issue
12
Pages
108399
ISSN
2589-0042 (ISSN-L)
OpenAlex
W4388342914
Cited by
27
References
88
Citations by year
2026: 7 · 2025: 14 · 2024: 6
FWCI
2.49
Type
journal article
Language
en
Open access
Locations
  • iScience (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Leiden Repository (Leiden University) (publishedVersion, cc-by)
  • KNAW research portal (Royal Academy of Art and Sciences (KNAW)) (publishedVersion, other-oa)
  • Leiden Repository (Leiden University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Repository for Publications and Research Data (ETH Zurich) (submittedVersion, cc-by)
  • ETH Zürich Research Collection
Funders
  • European Research Council
  • DFG
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (310030E-173572)
  • Vienna Science and Technology Fund (LS16-025)
  • HORIZON EUROPE European Innovation Council
  • Innovative Medicines Initiative (imSAVAR 853988)
  • Österreichische Krebshilfe Tirol (FF18015)
  • ERC (EPIC 786295)
  • H2020 EIC FTI (INCITE 964955)
  • Österreichischen Akademie der Wissenschaften
  • Austrian Science Fund (I3291, I3978, T974-B30)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Keywords
colorectal cancer, patient-derived organoids, phosphoproteomics, kinase inhibitors, off-target effects, pathway crosstalk, tumor heterogeneity, stemness genes, tumor microenvironment, spatial proteomics, imaging mass cytometry, tumor-immune cell interactions, precision oncology, functional proteomics

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