Journal article

Comparison of methods for handling missing data on immunohistochemical markers in survival analysis of breast cancer

AMG Ali, S-J Dawson, FM Blows, E Provenzano, IO Ellis, L Baglietto, D Huntsman, C Caldas, PD Pharoah



BACKGROUND: Tissue micro-arrays (TMAs) are increasingly used to generate data of the molecular phenotype of tumours in clinical epidemiology studies, such as studies of disease prognosis. However, TMA data are particularly prone to missingness. A variety of methods to deal with missing data are available. However, the validity of the various approaches is dependent on the structure of the missing data and there are few empirical studies dealing with missing data from molecular pathology. The purpose of this study was to investigate the results of four commonly used approaches to handling missing data from a large, multi-centre study of the molecular pathological determinants of prognosis in ..

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Awarded by Cancer Research UK

Awarded by Australian NHMRC

Awarded by The Francis Crick Institute

Funding Acknowledgements

We thank all the patients who have taken part in these studies without whom the research would not have been possible. We thank the SEARCH team, the MCCS investigators and the Histopathology Core Facility at the CRUK Cambridge Research Institute for the immunohistochemistry performed on the SEARCH and BCCA series. We also thank Ian White and Angela Woods for statistical advice and for their comments on an earlier draft of the manuscript. AA was supported by PhD scholarship grant from the Citadel Capital Foundation, Egypt. SJD was supported by PhD fellowship grant from the Commonwealth Scholarship and Fellowship Program and Cancer Research UK. SEARCH is funded by a programme grant from Cancer Research UK (C490/A10124) and the NIHR Cambridge Biomedical Research Centre. The immunohistochemical analysis of breast cancers from the MCCS was supported by Australian NHMRC Grants 209057, 251553 and 504711 and by infrastructure provided by The Cancer Council Victoria.