Literature DB >> 17452772

Emerging concepts of apolipoprotein D with possible implications for breast cancer.

Håvard Søiland1, Kjetil Søreide, Emiel A M Janssen, Hartwig Körner, Jan P A Baak, Jon Arne Søreide.   

Abstract

Apolipoprotein D (ApoD) is a small glycoprotein of 24 kD, and a member of the lipocalin family. ApoD exerts several intracellular mechanistic roles, especially ligand binding. Some putative ligands are arachidonic acid, progesterone, and tamoxifen. It probably has a binding/reservoir function of these ligands in the cytoplasm. Furthermore, ApoD has features compatible with endosomal trafficking, proteolytic activity and interactions in cellular signal pathways. ApoD inhibits translocation of phosphorylated MAPK into the nucleus. Moreover, ApoD is associated with reduced proliferative activity of cancer cells, and is abundantly raised in senescent cells. In breast cancer, ApoD expression is associated with favourable histology and clinical stage, whereas in adjacent tumour stroma ApoD expression is a marker of adverse prognosis. Oestrogen receptor expression in breast cancer is inversely related to ApoD expression. Therefore, a combined oestrogen receptor positivity/ApoD positivity, could reflect a non-functional oestrogen receptor pathway, and this subset of breast cancer patients does not react to adjuvant tamoxifen treatment. The triangular relationship between oestrogen receptor, tamoxifen and ApoD should be further explored.

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Year:  2007        PMID: 17452772      PMCID: PMC4618004          DOI: 10.1155/2007/487235

Source DB:  PubMed          Journal:  Cell Oncol        ISSN: 1570-5870            Impact factor:   6.730


  16 in total

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Journal:  Proteomes       Date:  2019-02-23

2.  Age-related changes of apolipoprotein D expression in female rat central nervous system with chronic estradiol treatment.

Authors:  Cristina Pérez; Ana Navarro; Eva Martínez; Cristina Ordóñez; Eva Del Valle; Jorge Tolivia
Journal:  Age (Dordr)       Date:  2011-07-15

3.  Apolipoprotein D Internalization Is a Basigin-dependent Mechanism.

Authors:  Ouafa Najyb; Louise Brissette; Eric Rassart
Journal:  J Biol Chem       Date:  2015-04-27       Impact factor: 5.157

4.  Age- and Hypertension-Associated Protein Aggregates in Mouse Heart Have Similar Proteomic Profiles.

Authors:  Srinivas Ayyadevara; Federico Mercanti; Xianwei Wang; Samuel G Mackintosh; Alan J Tackett; Sastry V S Prayaga; Francesco Romeo; Robert J Shmookler Reis; Jawahar L Mehta
Journal:  Hypertension       Date:  2016-03-14       Impact factor: 10.190

5.  Genes associated with metabolic syndrome predict disease-free survival in stage II colorectal cancer patients. A novel link between metabolic dysregulation and colorectal cancer.

Authors:  Teodoro Vargas; Juan Moreno-Rubio; Jesús Herranz; Paloma Cejas; Susana Molina; Margarita González-Vallinas; Ricardo Ramos; Emilio Burgos; Cristina Aguayo; Ana B Custodio; Guillermo Reglero; Jaime Feliu; Ana Ramírez de Molina
Journal:  Mol Oncol       Date:  2014-06-10       Impact factor: 6.603

6.  Studies of ApoD-/- and ApoD-/-ApoE-/- mice uncover the APOD significance for retinal metabolism, function, and status of chorioretinal blood vessels.

Authors:  Nicole El-Darzi; Natalia Mast; Alexey M Petrov; Tung Dao; Artem A Astafev; Aicha Saadane; Erin Prendergast; Emmy Schwarz; Ilya Bederman; Irina A Pikuleva
Journal:  Cell Mol Life Sci       Date:  2020-05-21       Impact factor: 9.261

7.  In vivo endothelial gene regulation in diabetes.

Authors:  J Gregory Maresh; Ralph V Shohet
Journal:  Cardiovasc Diabetol       Date:  2008-04-19       Impact factor: 9.951

8.  A systematic analysis of human lipocalin family and its expression in esophageal carcinoma.

Authors:  Ze-Peng Du; Bing-Li Wu; Xuan Wu; Xuan-Hao Lin; Xiao-Yang Qiu; Xiao-Fen Zhan; Shao-Hong Wang; Jin-Hui Shen; Chun-Peng Zheng; Zhi-Yong Wu; Li-Yan Xu; Dong Wang; En-Min Li
Journal:  Sci Rep       Date:  2015-07-01       Impact factor: 4.379

9.  Apolipoprotein D expression does not predict breast cancer recurrence among tamoxifen-treated patients.

Authors:  Daniella Klebaner; Stephen Hamilton-Dutoit; Thomas Ahern; Anatasha Crawford; Thomas Jakobsen; Deirdre P Cronin-Fenton; Per Damkier; Emiel Janssen; Anders Kjaersgaard; Anne Gulbech Ording; Håvard Søiland; Henrik Toft Sørensen; Timothy L Lash; Ylva Hellberg
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

10.  Increasing the number of thyroid lesions classes in microarray analysis improves the relevance of diagnostic markers.

Authors:  Jean-Fred Fontaine; Delphine Mirebeau-Prunier; Mahatsangy Raharijaona; Brigitte Franc; Stephane Triau; Patrice Rodien; Olivier Goëau-Brissonniére; Lucie Karayan-Tapon; Marielle Mello; Rémi Houlgatte; Yves Malthiery; Frédérique Savagner
Journal:  PLoS One       Date:  2009-10-29       Impact factor: 3.240

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