dc.contributor.author | Kastora, Stavroula L | |
dc.contributor.author | Kounidas, Georgios | |
dc.contributor.author | Speirs, Valerie | |
dc.contributor.author | Masannat, Yazan A | |
dc.date.accessioned | 2023-04-04T23:07:33Z | |
dc.date.available | 2023-04-04T23:07:33Z | |
dc.date.issued | 2022-08-09 | |
dc.identifier | 219079179 | |
dc.identifier | 6bb9b4a6-e0f9-4fe1-8e33-390a026c6a50 | |
dc.identifier | 36010848 | |
dc.identifier | 85137367381 | |
dc.identifier | 000846224400001 | |
dc.identifier.citation | Kastora , S L , Kounidas , G , Speirs , V & Masannat , Y A 2022 , ' Integrative, In Silico and Comparative Analysis of Breast Cancer Secretome Highlights Invasive-Ductal-Carcinoma-Grade Progression Biomarkers ' , Cancers , vol. 14 , no. 16 , 3854 . https://doi.org/10.3390/cancers14163854 | en |
dc.identifier.issn | 2072-6694 | |
dc.identifier.other | PubMedCentral: PMC9406168 | |
dc.identifier.other | ORCID: /0000-0002-0602-4666/work/122953364 | |
dc.identifier.other | ORCID: /0000-0002-5895-5059/work/122954012 | |
dc.identifier.uri | http://aura-test.abdn.ac.uk/handle/2164/19496 | |
dc.description | Funding: This research was funded by NHS Grampian Endowment Fund grant number NER11101 Acknowledgments: The authors would like to thank the NHS Grampian Breast Cancer Endowment Fund body for supporting the publication of the present manuscript and funding publication fees. | en |
dc.format.extent | 18 | |
dc.format.extent | 5352358 | |
dc.language.iso | eng | |
dc.relation.ispartof | Cancers | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | IDC | en |
dc.subject | bioinformatics | en |
dc.subject | biomarkers | en |
dc.subject | comparative analysis | en |
dc.subject | POTENTIAL BIOMARKER | en |
dc.subject | METASTASIS | en |
dc.subject | PROGNOSIS | en |
dc.subject | MARKERS | en |
dc.subject | CELL SECRETOME | en |
dc.subject | LUNG-CANCER | en |
dc.subject | PROTEIN EXPRESSION | en |
dc.subject | FIBRONECTIN | en |
dc.subject | CHEMOTHERAPY RESISTANCE | en |
dc.subject | PROTEOMICS | en |
dc.subject | R Medicine (General) | en |
dc.subject | Oncology | en |
dc.subject | Cancer Research | en |
dc.subject | Other | en |
dc.subject | NER11101 | en |
dc.subject | Supplementary Information | en |
dc.subject.lcc | R1 | en |
dc.title | Integrative, In Silico and Comparative Analysis of Breast Cancer Secretome Highlights Invasive-Ductal-Carcinoma-Grade Progression Biomarkers | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Medical Sciences | en |
dc.contributor.institution | University of Aberdeen.Institute of Medical Sciences | en |
dc.contributor.institution | University of Aberdeen.Medicine, Medical Sciences & Nutrition | en |
dc.contributor.institution | University of Aberdeen.Applied Medicine | en |
dc.description.status | Peer reviewed | en |
dc.identifier.doi | https://doi.org/10.3390/cancers14163854 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85137367381&partnerID=8YFLogxK | en |
dc.identifier.vol | 14 | en |
dc.identifier.iss | 16 | en |