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Open Access 01.12.2013 | Research

Molecular signatures mostly associated with NK cells are predictive of relapse free survival in breast cancer patients

verfasst von: Maria Libera Ascierto, Michael O Idowu, Yingdong Zhao, Hanif Khalak, Kyle K Payne, Xiang-Yang Wang, Catherine I Dumur, Davide Bedognetti, Sara Tomei, Paolo A Ascierto, Anil Shanker, Harry D Bear, Ena Wang, Francesco M Marincola, Andrea De Maria, Masoud H Manjili

Erschienen in: Journal of Translational Medicine | Ausgabe 1/2013

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Abstract

Background

Recent observations suggest that immune-mediated tissue destruction is dependent upon coordinate activation of immune genes expressed by cells of the innate and adaptive immune systems.

Methods

Here, we performed a retrospective pilot study to investigate whether the coordinate expression of molecular signature mostly associated with NK cells could be used to segregate breast cancer patients into relapse and relapse-free outcomes.

Results

By analyzing primary breast cancer specimens derived from patients who experienced either 58–116 months (~5-9 years) relapse-free survival or developed tumor relapse within 9–76 months (~1-6 years) we found that the expression of molecules involved in activating signaling of NK cells and in NK cells: target interaction is increased in patients with favorable prognosis.

Conclusions

The parameters identified in this study, together with the prognostic signature previously reported by our group, highlight the cooperation between the innate and adaptive immune components within the tumor microenvironment.

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Titel: Molecular signatures mostly associated with NK cells are predictive of relapse free survival in breast cancer patients
verfasst von: Maria Libera Ascierto
Michael O Idowu
Yingdong Zhao
Hanif Khalak
Kyle K Payne
Xiang-Yang Wang
Catherine I Dumur
Davide Bedognetti
Sara Tomei
Paolo A Ascierto
Anil Shanker
Harry D Bear
Ena Wang
Francesco M Marincola
Andrea De Maria
Masoud H Manjili
Publikationsdatum: 01.12.2013
Verlag: BioMed Central
Erschienen in: Journal of Translational Medicine / Ausgabe 1/2013
Elektronische ISSN: 1479-5876
DOI: https://doi.org/10.1186/1479-5876-11-145

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