Literature DB >> 23880140

Does TP53 mutation promote ovarian cancer metastasis to omentum by regulating lipid metabolism?

Jing Hu1, Zhiqiang Liu, Xipeng Wang.   

Abstract

TP53 (Tumor Protein 53, previously known as p53) is probably the best known of all tumor suppressor genes, and is mutated in nearly all (96%) high-grade serous ovarian cancer (HGS-OvCa), which is the most common histopathological type of epithelial ovarian cancer (EOC). Recently, TP53 is found to involve in regulating cell metabolic pathways besides its classical tumor suppressive functions. In addition, emerging evidence suggests that mutant TP53 is associated with cancer metastasis. Through summarizing and comparing the roles of wild-type TP53 and mutant TP53 in the progression of various types of cancer, we hypothesize that mutant TP53 in HGS-OvCa cells interacts with sterol regulatory element-binding proteins (SREBPs) and guanidinoacetate N-methyltransferase (GAMT), leading to increased gene expression of key enzymes involved in fatty acids (FAs) and cholesterol biosynthesis and the inhibition of fatty acid oxidation (FAO), thus promotes lipid anabolism to accelerate tumor growth and progression. Elevated platelet number in patients' tumor microenvironment results in increased TGF-β production. Then, TGF-β acts in concert with mutant TP53 to promote HGS-OvCa metastasis by assembling a mutant-TP53/p63/Smads protein complex, in which p63's functions as metastasis suppressor are antagonized, and by enhancing the activities of the Slug/Snail and Twist families to drive induce EMT-like transition. Then adipocyte-derived IL-8 facilitates the metastasis of transformative cancer cells to abdominal adipose tissue (e.g., omentum). Once metastasis is established, mutant TP53 together with adipocyte-derived IL-8 upregulates Fatty acid-binding protein 4 (FABP4) expression and then promotes FAs absorption from adipocytes to support rapid tumor growth in adipocyte-rich metastatic environments. In summary, these indicate that mutant TP53 may play determinant roles in the progression of HGS-OvCa.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23880140     DOI: 10.1016/j.mehy.2013.06.009

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


  8 in total

Review 1.  Role of abnormal lipid metabolism in development, progression, diagnosis and therapy of pancreatic cancer.

Authors:  Julian Swierczynski; Areta Hebanowska; Tomasz Sledzinski
Journal:  World J Gastroenterol       Date:  2014-03-07       Impact factor: 5.742

2.  Adipocytes promote cholangiocarcinoma metastasis through fatty acid binding protein 4.

Authors:  Jihua Nie; Jingying Zhang; Lili Wang; Lunjie Lu; Qian Yuan; Fangmei An; Shuyu Zhang; Yang Jiao
Journal:  J Exp Clin Cancer Res       Date:  2017-12-13

3.  Elevated expression of FABP3 and FABP4 cooperatively correlates with poor prognosis in non-small cell lung cancer (NSCLC).

Authors:  Zhiyuan Tang; Qin Shen; Hao Xie; Xiaoyu Zhou; Jun Li; Jian Feng; Hua Liu; Wei Wang; Shu Zhang; Songshi Ni
Journal:  Oncotarget       Date:  2016-07-19

Review 4.  p53 and metabolism: from mechanism to therapeutics.

Authors:  Fernando M Simabuco; Mirian G Morale; Isadora C B Pavan; Ana P Morelli; Fernando R Silva; Rodrigo E Tamura
Journal:  Oncotarget       Date:  2018-05-04

Review 5.  [Advances in the relationship between tumor cell metabolism and tumor metastasis].

Authors:  Yalong Zhang; Nianzhen Fang; Jiacong You; Qinghua Zhou
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2014-11

Review 6.  Roles of omental and bone marrow adipocytes in tumor biology.

Authors:  Yoon Jin Cha; Ja Seung Koo
Journal:  Adipocyte       Date:  2019-12       Impact factor: 4.534

7.  Clinical outcomes of immunohistochemistry of the p53 Staining pattern in high-grade serous ovarian carcinoma.

Authors:  Panarat Orachum; Amornrat Temtanakitpaisan; Pilaiwan Kleebkaow; Bandit Chumworathayi; Sanguanchoke Luanratanakorn; Apiwat Aue-Angkul; Yuwadee Itarat
Journal:  Obstet Gynecol Sci       Date:  2022-07-29

8.  Highly-accurate metabolomic detection of early-stage ovarian cancer.

Authors:  David A Gaul; Roman Mezencev; Tran Q Long; Christina M Jones; Benedict B Benigno; Alexander Gray; Facundo M Fernández; John F McDonald
Journal:  Sci Rep       Date:  2015-11-17       Impact factor: 4.379

  8 in total

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