The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts
Open accessAbstract
High-grade serous carcinoma has a poor prognosis, owing primarily to its early dissemination throughout the abdominal cavity. Genomic and proteomic approaches have provided snapshots of the proteogenomics of ovarian cancer1,2, but a systematic examination of both the tumour and stromal compartments is critical in understanding ovarian cancer metastasis. Here we develop a label-free proteomic workflow to analyse as few as 5,000 formalin-fixed, paraffin-embedded cells microdissected from each compartment. The tumour proteome was stable during progression from in situ lesions to metastatic disease; however, the metastasis-associated stroma was characterized by a highly conserved proteomic signature, prominently including the methyltransferase nicotinamide N-methyltransferase (NNMT) and several of the proteins that it regulates. Stromal NNMT expression was necessary and sufficient for functional aspects of the cancer-associated fibroblast (CAF) phenotype, including the expression of CAF markers and the secretion of cytokines and oncogenic extracellular matrix. Stromal NNMT expression supported ovarian cancer migration, proliferation and in vivo growth and metastasis. Expression of NNMT in CAFs led to depletion of S-adenosyl methionine and reduction in histone methylation associated with widespread gene expression changes in the tumour stroma. This work supports the use of ultra-low-input proteomics to identify candidate drivers of disease phenotypes. NNMT is a central, metabolic regulator of CAF differentiation and cancer progression in the stroma that may be therapeutically targeted. The authors find that stromal methyltransferase nicotinamide N-methyltransferase (NNMT) regulates the transition of normal fibroblasts to cancer-associated fibroblasts through histone methylation and promotes ovarian cancer growth and metastasis.
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.
Integrity signals
Registry
Cites
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.
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
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Self-citationSignatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
Sumner, L. W., Amberg, A., Barrett, D., Beale, M. H., Beger, R., Daykin, C. A., Fan, T. W.-M., Fiehn, O., Goodacre, R., Griffin, J. L., et al. (2007) · Metabolomics · doi:10.1007/s11306-007-0082-2 · Cited by 5,368
Self-citationCox, J., Hein, M. Y., Luber, C. A., Paron, I., Nagaraj, N., & Mann, M. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.031591 · Cited by 5,180
Self-citationOrimo, A., Gupta, P. B., Sgroi, D. C., Arenzana-Seisdedos, F., Delaunay, T., Naeem, R., Carey, V. J., Richardson, A. L., & Weinberg, R. A. (2005) · Cell · doi:10.1016/j.cell.2005.02.034 · Cited by 3,759
Mass-spectrometric exploration of proteome structure and function
Aebersold, R., & Mann, M. (2016) · Nature · doi:10.1038/nature19949 · Cited by 2,334
Self-citationPidsley, R., Zotenko, E., Peters, T. J., Lawrence, M. G., Risbridger, G. P., Molloy, P., Van Djik, S., Muhlhausler, B., Stirzaker, C., & Clark, S. J. (2016) · Genome biology · doi:10.1186/s13059-016-1066-1 · Cited by 1,480
Carcinoma-associated fibroblasts stimulate tumor progression of initiated human epithelium
Olumi, A., Grossfeld, G., Hayward, S., Carroll, P., Cunha, G., Hein, P., & Tlsty, T. (2000) · Breast Cancer Research · doi:10.1186/bcr138 · Cited by 1,463
Metabolomics by Gas Chromatography–Mass Spectrometry: Combined Targeted and Untargeted Profiling
Fiehn, O. (2016) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb3004s114 · Cited by 917
Self-citationMichalski, A., Damoc, E., Hauschild, J.-P., Lange, O., Wieghaus, A., Makarov, A., Nagaraj, N., Cox, J., Mann, M., & Horning, S. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.011015 · Cited by 832
Self-citation
Cited by
Diversity and biology of cancer-associated fibroblasts
Biffi, G., & Tuveson, D. A. (2021) · Physiological Reviews · doi:10.1152/physrev.00048.2019 · Cited by 1,265
NAD+ metabolism: pathophysiologic mechanisms and therapeutic potential
Xie, N., Zhang, L., Gao, W., Huang, C., Huber, P. E., Zhou, X., Li, C., Shen, G., & Zou, B. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00311-7 · Cited by 1,052
Cancer-associated fibroblasts: from basic science to anticancer therapy
Yang, D., Liu, J., Qian, H., & Zhuang, Q. (2023) · Experimental & Molecular Medicine · doi:10.1038/s12276-023-01013-0 · Cited by 572
Cancer-associated fibroblasts in desmoplastic tumors: emerging role of integrins
Zeltz, C., Primac, I., Erusappan, P., Alam, J., Noel, A., & Gullberg, D. (2020) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2019.08.004 · Cited by 290
Unbiased spatial proteomics with single-cell resolution in tissues
Mund, A., Brunner, A.-D., & Mann, M. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.05.022 · Cited by 259
Self-citation
Metadata
- Authors
- Eckert, M. A., Coscia, F., Chryplewicz, A., Chang, J. W., Hernandez, K. M., Pan, S., Tienda, S. M., Nahotko, D. A., Li, G., Blaženović, I., Lastra, R. R., Curtis, M., Yamada, S. D., Perets, R., McGregor, S. M., Andrade, J., Fiehn, O., Moellering, R. E., Mann, M., & Lengyel, E.
- Venue
- Nature
- Published
- 2019-05
- Volume
- 569
- Issue
- 7758
- Pages
- 723-728
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2942537534
- Cited by
- 503
- References
- 12
- FWCI
- 43.19
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts. https://app.cochat.ai/papers/10.1038/s41586-019-1173-8
- The paper
- Eckert, M. A., Coscia, F., Chryplewicz, A., Chang, J. W., Hernandez, K. M., Pan, S., Tienda, S. M., Nahotko, D. A., Li, G., Blaženović, I., Lastra, R. R., Curtis, M., Yamada, S. D., Perets, R., McGregor, S. M., Andrade, J., Fiehn, O., Moellering, R. E., Mann, M., & Lengyel, E. (2019). Proteomics reveals NNMT as a master metabolic regulator of cancer-associated fibroblasts. Nature. https://doi.org/10.1038/s41586-019-1173-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
