The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
An aberrant SREBP-dependent lipogenic program promotes metastatic prostate cancer
Open accessAbstract
Lipids, either endogenously synthesized or exogenous, have been linked to human cancer. Here we found that PML is frequently co-deleted with PTEN in metastatic human prostate cancer (CaP). We demonstrated that conditional inactivation of Pml in the mouse prostate morphs indolent Pten-null tumors into lethal metastatic disease. We identified MAPK reactivation, subsequent hyperactivation of an aberrant SREBP prometastatic lipogenic program, and a distinctive lipidomic profile as key characteristic features of metastatic Pml and Pten double-null CaP. Furthermore, targeting SREBP in vivo by fatostatin blocked both tumor growth and distant metastasis. Importantly, a high-fat diet (HFD) induced lipid accumulation in prostate tumors and was sufficient to drive metastasis in a nonmetastatic Pten-null mouse model of CaP, and an SREBP signature was highly enriched in metastatic human CaP. Thus, our findings uncover a prometastatic lipogenic program and lend direct genetic and experimental support to the notion that a Western HFD can promote metastasis. This study shows that inactivation of Pml in the mouse prostate turns indolent Pten-null tumors into lethal metastatic disease. The authors identify an aberrant SREBP prometastatic lipogenic program and show that a high-fat diet induces lipid accumulation in prostate tumors and is sufficient to drive 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
Li, J., Yen, C., Liaw, D., Podsypanina, K., Bose, S., Wang, S. I., Puc, J., Miliaresis, C., Rodgers, L., McCombie, R., et al. (1997) · Science · doi:10.1126/science.275.5308.1943 · Cited by 4,785
Integrative Genomic Profiling of Human Prostate Cancer
Taylor, B. S., Schultz, N., Hieronymus, H., Gopalan, A., Xiao, Y., Carver, B. S., Arora, V. K., Kaushik, P., Cerami, E., Reva, B., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.05.026 · Cited by 3,701
Integrative Clinical Genomics of Advanced Prostate Cancer
Robinson, D., Van Allen, E. M., Wu, Y.-M., Schultz, N., Lonigro, R. J., Mosquera, J.-M., Montgomery, B., Taplin, M.-E., Pritchard, C. C., Attard, G., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.001 · Cited by 3,645
Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis
Menendez, J. A., & Lupu, R. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2222 · Cited by 2,941
Steck, P. A., Pershouse, M. A., Jasser, S. A., Yung, W. K. A., Lin, H., Ligon, A. H., Langford, L. A., Baumgard, M. L., Hattier, T., Davis, T., et al. (1997) · Nature Genetics · doi:10.1038/ng0497-356 · Cited by 2,741
The polycomb group protein EZH2 is involved in progression of prostate cancer
Varambally, S., Dhanasekaran, S. M., Zhou, M., Barrette, T. R., Kumar-Sinha, C., Sanda, M. G., Ghosh, D., Pienta, K. J., Sewalt, R. G. A. B., Otte, A. P., et al. (2002) · Nature · doi:10.1038/nature01075 · Cited by 2,717
The mutational landscape of lethal castration-resistant prostate cancer
Grasso, C. S., Wu, Y.-M., Robinson, D. R., Cao, X., Dhanasekaran, S. M., Khan, A. P., Quist, M. J., Jing, X., Lonigro, R. J., Brenner, J. C., et al. (2012) · Nature · doi:10.1038/nature11125 · Cited by 2,517
Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth
Nieman, K. M., Kenny, H. A., Penicka, C. V., Ladanyi, A., Buell-Gutbrod, R., Zillhardt, M. R., Romero, I. L., Carey, M. S., Mills, G. B., Hotamisligil, G. S., et al. (2011) · Nature Medicine · doi:10.1038/nm.2492 · Cited by 2,279
Activation of a metabolic gene regulatory network downstream of mTOR complex 1
Düvel, K., Yecies, J. L., Menon, S., Raman, P., Lipovsky, A. I., Souza, A. L., Triantafellow, E., Ma, Q., Gorski, R., Cleaver, S., et al. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.06.022 · Cited by 2,020
Crucial role of p53-dependent cellular senescence in suppression of Pten-deficient tumorigenesis
Chen, Z., Trotman, L. C., Shaffer, D., Lin, H.-K., Dotan, Z. A., Niki, M., Koutcher, J. A., Scher, H. I., Ludwig, T., Gerald, W., et al. (2005) · Nature · doi:10.1038/nature03918 · Cited by 1,993
Self-citation
Cited by
Greasing the Wheels of the Cancer Machine: The Role of Lipid Metabolism in Cancer
Snaebjornsson, M. T., Janaki-Raman, S., & Schulze, A. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.010 · Cited by 1,097
The functions and regulation of the PTEN tumour suppressor: new modes and prospects
Lee, Y.-R., Chen, M., & Pandolfi, P. P. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0015-0 · Cited by 917
Self-citationLipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
Butler, L. M., Perone, Y., Dehairs, J., Lupien, L. E., de Laat, V., Talebi, A., Loda, M., Kinlaw, W. B., & Swinnen, J. V. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.07.013 · Cited by 589
Papa, A., & Pandolfi, P. P. (2019) · Biomolecules · doi:10.3390/biom9040153 · Cited by 303
Self-citationLabbé, D. P., Zadra, G., Yang, M., Reyes, J. M., Lin, C. Y., Cacciatore, S., Ebot, E. M., Creech, A. L., Giunchi, F., Fiorentino, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12298-z · Cited by 174
Metadata
- Authors
- Chen, M., Zhang, J., Sampieri, K., Clohessy, J. G., Mendez, L., Gonzalez-Billalabeitia, E., Liu, X.-S., Lee, Y.-R., Fung, J., Katon, J. M., Menon, A. V., Webster, K. A., Ng, C., Palumbieri, M. D., Diolombi, M. S., Breitkopf, S. B., Teruya-Feldstein, J., Signoretti, S., Bronson, R. T., Asara, J. M., Castillo-Martin, M., Cordon-Cardo, C., & Pandolfi, P. P.
- Venue
- Nature Genetics
- Published
- 2018-01-15
- Volume
- 50
- Issue
- 2
- Pages
- 206-218
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2783366082
- Cited by
- 293
- References
- 77
- FWCI
- 9.89
- 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: An aberrant SREBP-dependent lipogenic program promotes metastatic prostate cancer. https://app.cochat.ai/papers/10.1038/s41588-017-0027-2
- The paper
- Chen, M., Zhang, J., Sampieri, K., Clohessy, J. G., Mendez, L., Gonzalez-Billalabeitia, E., Liu, X.-S., Lee, Y.-R., Fung, J., Katon, J. M., Menon, A. V., Webster, K. A., Ng, C., Palumbieri, M. D., Diolombi, M. S., Breitkopf, S. B., Teruya-Feldstein, J., Signoretti, S., Bronson, R. T., . . . Pandolfi, P. P. (2018). An aberrant SREBP-dependent lipogenic program promotes metastatic prostate cancer. Nature Genetics. https://doi.org/10.1038/s41588-017-0027-2
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.