Literature DB >> 27466525

Computational and Immunohistochemical Analyses Highlight AXL as a Potential Prognostic Marker for Ovarian Cancer Patients.

Ludmila Lozneanu1, Patrizia Pinciroli2, Delia Apostol Ciobanu3, Maria Luisa Carcangiu4, Silvana Canevari2, Antonella Tomassetti2, Irina-Draga Căruntu5.   

Abstract

BACKGROUND/AIM: The activation of the membrane tyrosine kinase AXL is implicated in the migration and invasion in several carcinomas, including ovarian cancer. Herein, we investigated the association of the expression of AXL transcript and protein to the aggressiveness of ovarian cancer, as well as to patient outcome.
MATERIALS AND METHODS: Overall and relapse-free survival were determined with respect to AXL transcript levels by computational analysis on two publicly available datasets containing data of gene expression from high-grade ovarian cancers (n=776). Immunohistochemical evaluation of AXL protein expression was then performed using a proprietary tissue microarray consisting of 62 ovarian cancers of different histology, grading and staging. Expression was analyzed for association with clinicopathological parameters, including survival.
RESULTS: In both analyzed datasets, AXL transcript expression was significantly associated to both overall and relapse-free survival in high-grade ovarian cancers. Membrane expression of AXL protein was observed in 89% of the analyzed ovarian cancers. A significant correlation was found between AXL expression and serous histologic subtype, higher tumor grade and type II tumors. No significant association between AXL protein expression and patient survival was found in our cohort. AXL is frequently expressed in high-grade serous ovarian cancers and its expression is significantly associated to tumors displaying poor prognosis.
CONCLUSION: AXL is a potential prognostic marker for the most aggressive ovarian carcinomas. Copyright
© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

Entities:  

Keywords:  AXL; gene expression; immunohistochemistry; ovarian carcinoma; prognostic marker

Mesh:

Substances:

Year:  2016        PMID: 27466525

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  13 in total

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3.  GAS6/AXL Inhibition Enhances Ovarian Cancer Sensitivity to Chemotherapy and PARP Inhibition through Increased DNA Damage and Enhanced Replication Stress.

Authors:  Mary M Mullen; Elena Lomonosova; Michael D Toboni; Alyssa Oplt; Emily Cybulla; Barbara Blachut; Peinan Zhao; Hollie Noia; Daniel Wilke; Erinn B Rankin; Lindsay M Kuroki; Andrea R Hagemann; Ian S Hagemann; Carolyn K McCourt; Premal H Thaker; David G Mutch; Matthew A Powell; Nima Mosammaparast; Alessandro Vindigni; Katherine C Fuh
Journal:  Mol Cancer Res       Date:  2021-10-20       Impact factor: 6.333

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Authors:  Carl M Gay; Kavitha Balaji; Lauren Averett Byers
Journal:  Br J Cancer       Date:  2017-01-10       Impact factor: 7.640

6.  p85β regulates autophagic degradation of AXL to activate oncogenic signaling.

Authors:  Ling Rao; Victor C Y Mak; Yuan Zhou; Dong Zhang; Xinran Li; Chloe C Y Fung; Rakesh Sharma; Chao Gu; Yiling Lu; George L Tipoe; Annie N Y Cheung; Gordon B Mills; Lydia W T Cheung
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Journal:  Acta Pharmacol Sin       Date:  2020-11-04       Impact factor: 7.169

9.  Therapeutic Targeting of AXL Receptor Tyrosine Kinase Inhibits Tumor Growth and Intraperitoneal Metastasis in Ovarian Cancer Models.

Authors:  Pinar Kanlikilicer; Bulent Ozpolat; Burcu Aslan; Recep Bayraktar; Nilgun Gurbuz; Cristian Rodriguez-Aguayo; Emine Bayraktar; Merve Denizli; Vianey Gonzalez-Villasana; Cristina Ivan; Ganesh L R Lokesh; Paola Amero; Silvia Catuogno; Monika Haemmerle; Sherry Yen-Yao Wu; Rahul Mitra; David G Gorenstein; David E Volk; Vittorio de Franciscis; Anil K Sood; Gabriel Lopez-Berestein
Journal:  Mol Ther Nucleic Acids       Date:  2017-07-05

10.  Targeting Axl favors an antitumorigenic microenvironment that enhances immunotherapy responses by decreasing Hif-1α levels.

Authors:  Marie-Anne Goyette; Islam E Elkholi; Chloé Apcher; Hellen Kuasne; Carla V Rothlin; William J Muller; Darren E Richard; Morag Park; Jean-Philippe Gratton; Jean-François Côté
Journal:  Proc Natl Acad Sci U S A       Date:  2021-07-20       Impact factor: 11.205

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