The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Adipocyte-Induced FABP4 Expression in Ovarian Cancer Cells Promotes Metastasis and Mediates Carboplatin Resistance
Open accessAbstract
Adipocytes are critical for ovarian cancer cells to home to the omentum, but the metabolic changes initiated by this interaction are unknown. To this end, we carried out unbiased mass spectrometry–based metabolomic and proteomic profiling of cancer cells cocultured with primary human omental adipocytes. Cancer cells underwent significant proteo-metabolomic alteration(s), typified by changes in the lipidome with corresponding upregulation of lipid metabolism proteins. FABP4, a lipid chaperone protein, was identified as the critical regulator of lipid responses in ovarian cancer cells cocultured with adipocytes. Subsequently, knockdown of FABP4 resulted in increased 5-hydroxymethylcytosine levels in the DNA, downregulation of gene signatures associated with ovarian cancer metastasis, and reduced clonogenic cancer cell survival. In addition, clustered regularly interspaced short palindromic repeats (CRISPR)-mediated knockout of FABP4 in high-grade serous ovarian cancer cells reduced metastatic tumor burden in mice. Consequently, a small-molecule inhibitor of FABP4 (BMS309403) not only significantly reduced tumor burden in a syngeneic orthotopic mouse model but also increased the sensitivity of cancer cells toward carboplatin both in vitro and in vivo. Taken together, these results show that targeting FABP4 in ovarian cancer cells can inhibit their ability to adapt and colonize lipid-rich tumor microenvironments, providing an opportunity for specific metabolic targeting of ovarian cancer metastasis. Significance: Ovarian cancer metastatic progression can be restricted by targeting a critical regulator of lipid responses, FABP4.
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
The Perseus computational platform for comprehensive analysis of (prote)omics data
Tyanova, S., Temu, T., Sinitcyn, P., Carlson, A., Hein, M. Y., Geiger, T., Mann, M., & Cox, J. (2016) · Nature Methods · doi:10.1038/nmeth.3901 · Cited by 8,803
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
Integrated genomic analyses of ovarian carcinoma
Perou, C. M. (2019) · Carolina Digital Repository (University of North Carolina at Chapel Hill) · doi:10.17615/hvp3-wg08 · Cited by 7,925
Conversion of 5-Methylcytosine to 5-Hydroxymethylcytosine in Mammalian DNA by MLL Partner TET1
Tahiliani, M., Koh, K. P., Shen, Y., Pastor, W. A., Bandukwala, H., Brudno, Y., Agarwal, S., Iyer, L. M., Liu, D. R., Aravind, L., et al. (2009) · Science · doi:10.1126/science.1170116 · Cited by 5,836
Tet proteins can convert 5-methylcytosine to 5-formylcytosine and 5-carboxylcytosine
Ito, S., Shen, L., Dai, Q., Wu, S. C., Collins, L. B., Swenberg, J. A., He, C., & Zhang, Y. (2011) · Science · doi:10.1126/science.1210597 · Cited by 3,451
Tet-Mediated Formation of 5-Carboxylcytosine and Its Excision by TDG in Mammalian DNA
He, Y.-F., Li, B.-Z., Li, Z., Liu, P., Wang, Y., Tang, Q., Ding, J., Jia, Y., Chen, Z., Li, L., et al. (2011) · Science · doi:10.1126/science.1210944 · Cited by 2,770
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
Self-citationFatty acid-binding proteins: role in metabolic diseases and potential as drug targets
Furuhashi, M., & Hotamisligil, G. S. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2589 · Cited by 1,785
Ovarian Cancer Development and Metastasis
Lengyel, E. (2010) · The American Journal of Pathology · doi:10.2353/ajpath.2010.100105 · Cited by 1,672
Self-citationKind, T., Wohlgemuth, G., Lee, D. Y., Lu, Y., Palazoglu, M., Shahbaz, S., & Fiehn, O. (2009) · Analytical Chemistry · doi:10.1021/ac9019522 · Cited by 1,482
Self-citation
Cited by
Lipid metabolism in cancer: New perspectives and emerging mechanisms
Broadfield, L. A., Pane, A. A., Talebi, A., Swinnen, J. V., & Fendt, S.-M. (2021) · Developmental Cell · doi:10.1016/j.devcel.2021.04.013 · Cited by 758
Lipid metabolic reprogramming in tumor microenvironment: from mechanisms to therapeutics
Jin, H.-R., Wang, J., Wang, Z.-J., Xi, M.-J., Xia, B.-H., Deng, K., & Yang, J.-L. (2023) · Journal of Hematology & Oncology · doi:10.1186/s13045-023-01498-2 · Cited by 481
Liu, W., Chakraborty, B., Safi, R., Kazmin, D., Chang, C.-Y., & McDonnell, D. P. (2021) · Nature Communications · doi:10.1038/s41467-021-25354-4 · Cited by 341
Zhao, F., He, Y., Zhao, Z., He, J., Huang, H., Ai, K., Liu, L., & Cai, X. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1272133 · Cited by 42
Metadata
- Authors
- Mukherjee, A., Chiang, C.-Y., Daifotis, H. A., Nieman, K. M., Fahrmann, J. F., Lastra, R. R., Romero, I. L., Fiehn, O., & Lengyel, E.
- Venue
- Cancer Research
- Published
- 2020-04-15
- Volume
- 80
- Issue
- 8
- Pages
- 1748-1761
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W3006458539
- Cited by
- 304
- References
- 58
- FWCI
- 10.57
- 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: Adipocyte-Induced FABP4 Expression in Ovarian Cancer Cells Promotes Metastasis and Mediates Carboplatin Resistance. https://app.cochat.ai/papers/10.1158/0008-5472.can-19-1999
- The paper
- Mukherjee, A., Chiang, C.-Y., Daifotis, H. A., Nieman, K. M., Fahrmann, J. F., Lastra, R. R., Romero, I. L., Fiehn, O., & Lengyel, E. (2020). Adipocyte-Induced FABP4 Expression in Ovarian Cancer Cells Promotes Metastasis and Mediates Carboplatin Resistance. Cancer Research. https://doi.org/10.1158/0008-5472.can-19-1999
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.
