Metadata record for the article: Spatial distribution of B cells and lymphocyte clusters as a predictor of triple negative breast cancer outcome

Summary This metadata record provides details of the data supporting the claims of the related article: “Spatial distribution of B cells and lymphocyte clusters as a predictor of triple negative breast cancer outcome”. The related study hypothesised that spatial distribution rather than density of B cells within tumours may provide prognostic significance, then developed statistical techniques (fractal dimension differences and a box counting method ‘occupancy’) to analyse the spatial distribution of tumour-infiltrating lymphocytes (TILs) in human triple negative breast cancer (TNBC). Type of data: positions (x-y coordinates) of different types of cells that were stained different colours in images Subject of data: Homo sapiens Sample size: 36 Recruitment: De-identified tissue samples were obtained from the CoH Biospecimen Repository. Samples from patients diagnosed with triple negative breast cancer and treated at COH from January 1, 1994 to March 4, 2015 were retrieved. Data access All data are contained in the R Data file ‘PatientPointPatterns.rds’, which is openly available with this data record. The file contains a list of 36 marked point patterns in ppp format, usable by the R package "spatstat". Each pattern corresponds to a single patient. Relevant marks include "Tissue.Category" (marks points as belonging to cancer islands or stroma) and "Phenotype" (marks points as cancer, stromal, or immune cells). X and Y coordinates have units of microns. Corresponding author(s) for this study Clare C. Yu, Department of Physics and Astronomy, University of California, Irvine, Irvine, CA 92697 cyu@uci.edu Peter P. Lee, Department of Immuno-Oncology, City of Hope Comprehensive Cancer Center and Beckman Research Institute, 1500 East Duarte Road, Duarte, CA 91010. plee@coh.org Study approval Specimens were identified through an IRB-approved protocol via the City of Hope (COH) Biospecimen Repository which is funded in part by the National Cancer Institute.