Metadata record for the article: The clinical and molecular significance associated with STING signaling in breast cancer
Creators: name: Parkes, E. E.
name: Humphries, M. P.
name: Gilmore, E.
name: Sidi, F. A.
name: Bingham, V.
name: Phyu, S. M.
name: Craig, S. G.
name: Graham, C.
name: Miller, J.
name: Griffin, D.
name: Salto-Tellez, M.
name: Madden, S. F.
name: Kennedy, R. D.
name: Bakhoum, S. F.
name: McQuaid, S.
name: Buckley, N. E.
Publisher: name: figshare
Year: 2021
Subjects: subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 119999 Medical and Health Sciences not elsewhere classified
subject: FOS: Other medical sciences
subject: Cancer
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine
subject: 110709 Tumour Immunology
subject: Biomarkers

description: <b>Summary</b><br> This metadata record provides details of the data supporting the claims of the related article: “The clinical and molecular significance associated with STING signaling in breast cancer”. The related study describes an immunohistochemistry-based assay with digital pathology assessment of STING (STING signalling in cancer is a crucial component of response to immunotherapy and other anti-cancer treatments) in tumour cells. Subject of data: <i>Homo sapiens</i>; cell lines (MDA-MB-436-EV) Sample size: 176 de-novo breast cancer patients; 1338 (METABRIC) &amp; 519 (TCGA Nature 2012) cases from external datasets <b>Data access</b> Gene expression data matched to the tissue microarray samples from Northern Ireland Biobank (NIB) was described previously in https://doi.org/10.1093/jnci/djt335; the data are openly available in <i>Gene Expression Omnibus </i>under the following accessions: https://identifiers.org/geo:GSE16334, https://identifiers.org/geo:GSE20271, https://identifiers.org/geo:GSE22093, https://identifiers.org/geo:GSE6861, https://identifiers.org/geo:GSE7390, https://identifiers.org/geo:GSE2034, https://identifiers.org/geo:GSE2990. The METABRIC and TCGA Nature 2012 cohorts were accessed via the cBioPortal website. The Wang et al. dataset 27 was accessed via GEO datasets (GSE2034) with the associated clinical information used to select ER+ cases. The gene set enrichment analysis (GSEA) outputs are stored in the file ‘my_analysis.Gsea.1590420309857’ (GSEA tool (v4.0.3); www.gsea-msigdb.org), housed on institutional storage and available upon request. The files listed below are housed on institutional storage at Queen’s University Belfast and are not openly available as the data contain potentially sensitive patient data and the ethical agreement with NIB did not include permission to share. Collaborations using these files may be considered: contact the corresponding author to enquire. The files are: ‘STING and Consilidated TMA and GE data.xlsx’, ‘mTOR H-score Data.xlsx’, and all Breast 300 IHC images. <b> </b> <b>Corresponding author(s) for this study</b> Niamh Buckley. School of Pharmacy, Queen’s University Belfast, Belfast BT9 7BL, UK. n.obrien@qub.ac.uk. Tel: +44 (0) 28 9097 5806 <br> <b>Study approval </b> Ethical approval granted by the Northern Ireland Biobank (NIB12-0017, NIB15-0168). STING IHC was approved under NIB19-301.