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Cited by 247

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Genetic disruption of PPAR δ decreases the tumorigenicity of human colon cancer cells

Open access
Park, Ben Ho, Vogelstein, Bert, Kinzler, Kenneth W.·2001·Proceedings of the National Academy of Sciences

Abstract

Peroxisome proliferator-activated receptors (PPARs) are nuclear hormone receptors that have been implicated in a variety of biologic processes. The PPARδ isotype was recently proposed as a downstream target of the adenomatous polyposis coli (APC)/β-catenin pathway in colorectal carcinogenesis. To evaluate its role in tumorigenesis, a PPARδ null cell line was created by targeted homologous recombination. When inoculated as xenografts in nude mice, PPARδ −/− cells exhibited a decreased ability to form tumors compared with PPARδ +/− and wild-type controls. These data suggest that suppression of PPARδ expression contributes to the growth-inhibitory effects of the APC tumor suppressor.

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Crossref · 10.1073/pnas.051630998

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Metadata

Authors
Park, B. H., Vogelstein, B., & Kinzler, K. W.
Venue
Proceedings of the National Academy of Sciences
Published
2001-02-27
Volume
98
Issue
5
Pages
2598-2603
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2052653126
Cited by
247
References
4
FWCI
8.36
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genetic disruption of PPAR δ decreases the tumorigenicity of human colon cancer cells. https://app.cochat.ai/papers/10.1073/pnas.051630998
The paper
Park, B. H., Vogelstein, B., & Kinzler, K. W. (2001). Genetic disruption of PPAR δ decreases the tumorigenicity of human colon cancer cells. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.051630998

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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.