Literature DB >> 36181664

The prognostic and predictive values of differential expression of exosomal receptor tyrosine kinases and associated with the PI3K/AKT/mTOR signaling in breast cancer patients undergoing neoadjuvant chemotherapy.

Gamze Guney Eskiler1, Nur Kazan2, Ayten Haciefendi2, Asuman Deveci Ozkan3, Kayhan Ozdemir4, Mirac Ozen5, Havva Belma Kocer6, Fahri Yilmaz7, Suleyman Kaleli3, Elvan Sahin8, Cemil Bilir9.   

Abstract

PURPOSE: Cancer cell-derived exosomes are the mediator of the tumor microenvironment and the molecular content of exosomes presents a promising prognostic or predictive marker in tumor progression and the treatment response of cancer patients. The aim of this study was to identify the expression levels of receptor tyrosine kinases (RTKs) and AKT1 and mTOR before and after neoadjuvant chemotherapy (NACT) in the exosomes of BC patients compared with healthy females.
METHODS: After isolating exosomes in the serum of 25 BC patients and characterization by flow cytometry, the mRNA levels of FGFR2, FGFR3, PDGFRB, AKT1 and mTOR in the exosomes were analyzed by RT-PCR.
RESULTS: Our preliminary findings showed that FGFR2, PDGFRB, AKT1 and mTOR levels were significantly upregulated in BC patients before NACT compared with the healthy group (p < 0.05). Furthermore, the mRNA levels PDGFRB and AKT1 were significantly down-regulated after NACT compared with control. PDGFRB expression level could predict pathological non-response and significantly correlated with tumor size after NACT.
CONCLUSION: Therefore, especially FGFR2, PDGFRB and AKT1 could be a therapeutic target as a prognostic marker, whereas PDGFRB may be a promising predictive indicator of therapy response in BC patients. However, the prognostic or predictive role of RTKs and PI3K/AKT/mTOR signaling in the exosomes should be further investigated in a large patient population.
© 2022. The Author(s), under exclusive licence to Federación de Sociedades Españolas de Oncología (FESEO).

Entities:  

Keywords:  Breast cancer; Exosomes; PI3K/AKT/mTOR signaling; Receptor tyrosine kinases

Year:  2022        PMID: 36181664     DOI: 10.1007/s12094-022-02959-9

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.340


  18 in total

Review 1.  Receptor tyrosine kinase transmembrane domains: Function, dimer structure and dimerization energetics.

Authors:  Edwin Li; Kalina Hristova
Journal:  Cell Adh Migr       Date:  2010-04-23       Impact factor: 3.405

Review 2.  Exosomes and breast cancer: a comprehensive review of novel therapeutic strategies from diagnosis to treatment.

Authors:  C-Y Wu; S-L Du; J Zhang; A-L Liang; Y-J Liu
Journal:  Cancer Gene Ther       Date:  2016-12-16       Impact factor: 5.987

Review 3.  The PI3K-AKT network at the interface of oncogenic signalling and cancer metabolism.

Authors:  Gerta Hoxhaj; Brendan D Manning
Journal:  Nat Rev Cancer       Date:  2019-11-04       Impact factor: 60.716

4.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

Authors:  Hyuna Sung; Jacques Ferlay; Rebecca L Siegel; Mathieu Laversanne; Isabelle Soerjomataram; Ahmedin Jemal; Freddie Bray
Journal:  CA Cancer J Clin       Date:  2021-02-04       Impact factor: 508.702

Review 5.  AKT/PKB Signaling: Navigating the Network.

Authors:  Brendan D Manning; Alex Toker
Journal:  Cell       Date:  2017-04-20       Impact factor: 41.582

Review 6.  Tumor exosomes: a double-edged sword in cancer therapy.

Authors:  Wei Sun; Ju-Dong Luo; Hua Jiang; Dayue Darrel Duan
Journal:  Acta Pharmacol Sin       Date:  2018-03-15       Impact factor: 6.150

Review 7.  Intercellular Vesicular Transfer by Exosomes, Microparticles and Oncosomes - Implications for Cancer Biology and Treatments.

Authors:  Ritu Jaiswal; Lisa M Sedger
Journal:  Front Oncol       Date:  2019-03-06       Impact factor: 6.244

Review 8.  Circulating extracellular vesicles are effective biomarkers for predicting response to cancer therapy.

Authors:  E Zhou; Yumei Li; Feng Wu; Mengfei Guo; Juanjuan Xu; Sufei Wang; Qi Tan; Pei Ma; Siwei Song; Yang Jin
Journal:  EBioMedicine       Date:  2021-05-07       Impact factor: 8.143

9.  Signaling pathways in exosomes biogenesis, secretion and fate.

Authors:  Lorena Urbanelli; Alessandro Magini; Sandra Buratta; Alessandro Brozzi; Krizia Sagini; Alice Polchi; Brunella Tancini; Carla Emiliani
Journal:  Genes (Basel)       Date:  2013-03-28       Impact factor: 4.096

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