I am trying to perform Kaplan-Meier analysis using histopathological information on its own and using the expression values. I am taking mets-dd-after-diagnosis
as Time and Alive/Death
as Events.
Could you please help in suggesting that I am taking the Event variable rightly? or please suggest what should I consider for the Events?
My data table looks like this: Original GEO data set http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40267
geo_accession path. review % of tumour cells ihc_pr ihc_er ihc_her2 node positive grade traditional histological type diag_tumour_size mets_dd_after_diagnosis death_dd_after_diagnosis mets_count cause_of_death age_at_diagnosis
GSM989445 70 0 0 0 TRUE 3 NST -1 NA NA 0 NA 46
GSM989446 95 0 0 0 TRUE 3 NST 2.5 NA NA 0 NA 51
GSM989447 75 0 0 0 FALSE 3 NST 2 341 407 1 Breast Cancer 66
GSM989448 95 0 0 0 TRUE 3 NST 5 212 788 3 Breast Cancer 26
GSM989449 85 1 0 NA TRUE 3 MIXED NST AND METAPLASTIC 2 1020 1208 2 Breast Cancer 50
GSM989450 70 0 0 0 FALSE 3 NST 3 NA NA 0 NA 70
GSM989451 80 0 0 0 FALSE 3 NST 2.5 NA NA 0 NA 33
GSM989452 90 0 0 0 FALSE 3 NST 4.5 323 542 3 Breast Cancer 67
GSM989453 80 1 0 0 NA 3 NST 8.5 194 200 4 Breast Cancer 57
GSM989454 75 0 0 0 TRUE 3 NST 5 1463 1650 3 Breast Cancer 50
GSM989455 75 0 0 0 FALSE 3 NST 3 NA 6506 0 NA 59
GSM989456 80 0 0 0 TRUE 3 NST 1.5 2163 2541 4 Breast Cancer 47
GSM989457 NA 0 0 0 NA 3 NST 2 253 271 2 other_cause 48
GSM989458 80 0 0 0 FALSE 3 NST 4.5 NA NA 0 NA 41
GSM989459 90 1 0 0 TRUE 3 NST 3.5 384 528 3 Breast Cancer 67
GSM989460 80 0 0 0 FALSE 3 METAPLASTIC MATRIX PRODUCING 2.5 NA NA 0 NA 39
GSM989461 75 1 0 0 FALSE 3 NST 4 NA NA 0 NA 41
GSM989462 75 0 0 0 NA 3 NST 2 307 368 2 Breast Cancer 78
GSM989463 85 0 0 0 FALSE 3 NST 4 NA NA 0 NA 51
GSM989464 70 0 0 0 TRUE 3 NST 2 NA NA 0 NA 55
GSM989465 85 0 0 0 FALSE 3 NST 4.2 NA NA 0 NA 61
GSM989466 70 0 0 0 TRUE 3 NST 5.5 NA NA 0 NA 52
GSM989467 90 0 0 0 FALSE 3 NST 5 783 1009 3 Breast Cancer 71
GSM989468 60 0 0 0 FALSE 3 NST 2 NA NA 0 NA 55
GSM989469 70 1 NA 0 TRUE 2 NST 5.5 NA 940 0 other_cause 74
GSM989470 50 0 0 1 TRUE 3 NST 4.5 NA NA 0 NA 55
GSM989471 30 0 0 0 FALSE 3 NST 4.5 NA NA 0 NA 41
GSM989472 85 0 0 0 FALSE 3 NST 5.5 NA 6763 0 other_cause 70
GSM989473 80 0 0 0 TRUE 3 NST 4.5 1579 1652 4 Breast Cancer 47
GSM989474 30 0 0 0 FALSE 3 NST 4 NA NA 0 NA 50
GSM989475 75 0 0 0 FALSE 3 NST 2 341 407 1 Breast Cancer 66
GSM989476 70 0 0 0 NA 3 NST 5.5 NA NA 0 NA 73
GSM989477 90 0 0 0 TRUE 2 PLEOMORPHIC LOBULAR 5 1736 1894 2 Breast Cancer 72
GSM989478 50 0 0 0 TRUE 3 NST 5 816 1378 2 Breast Cancer 49