The clinical information for each TCGA tumor sample is stored in a xml file. Patient ID, tumor and treatment info are entries of the xml file. These xml files have been preprocessed for further analysis.
Clinical data for tier 1 clinical variables are generated.
Table 1. Tier1 clinical variables
| Tumor.Feature | Date.Statistics |
|---|---|
| gender | dccuploaddate |
| primarysiteofdesease | dateofbirth |
| histologicaltype | dateofdeath |
| tumorstage | dateoflastfollowup |
| tumorgrade | dateoftumorrecurrence |
| patienttumorrecurrencestatus | dateofinitialpathologicdiagnosis |
| radiationtherapy | datelastknownalive |
| neoadjuvanttherapy | vitalstatus |
| pathologicspread(pt) | |
| pathologicspread(pn) | |
| karnofskyperformancescore |
Table 2. Statistics of selected clinical variables.
| Clinical.Variable | Statistics |
|---|---|
| age | mean: 61, std: 12 |
| vitalstatus | 697 living, 321 deceased |
| gender | 669 male, 349 female |
| histologicaltype | 1018 kidney clear cell renal carcinoma |
| tumorstage | 499 stage i, 106 stage ii, 250 stage iii, 163 stage iv |
| pathologicspread(pt) | 211 t1b, 104 t3b, 44 t1, 111 t2, 252 t1a, 11 t2a, 242 t3a, 9 t3, 22 t4, 4 t3c, 8 t2b |
| pathologicspread(pn) | 476 n0, 506 nx, 36 n1 |
Table 3. Get Full Table Illustration of the tier 1 data for three patients
| Clinical.Variable | Sample_1 | Sample_2 | Sample_3 |
|---|---|---|---|
| yearstobirth | 67 | 67 | 66 |
| daystodeath | NA | NA | NA |
| daystolastfollowup | 1120 | 1120 | 1436 |
| vitalstatus | 0 | 0 | 0 |
| dccuploaddate | 25-7-2012 | 25-7-2012 | 25-7-2012 |
1. Each xml file is converted to a tab-delimited text file by our R package.
2. All text files are aggregated into one big table by the Clinical_Aggregate_Tier1 pipeline. The 1st column of the table is the entry name of the xml file and the rest columns are the associated data for samples.
3. Data for the tier 1 clinical variables are extracted by the Clinical_Picker_Tier1 pipeline.
Figure 1. Diagram that displays the work flow of processing clinical data. Clinical variables of interest and their associated values are marked in red and blue, respectively.
