Preprocessing of clinical data
Overview
Introduction

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.

Summary

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
Results
Tier 1 Data Statistics

Table 2.  Statistics of selected clinical variables.

Clinical.Variable Statistics
age mean: 61, std: 13
vitalstatus 3836 living, 1597 deceased
gender 2154 male, 3269 female
histologicaltype 30 squamous cell carcinoma, 1 adenocarcinoma, 364 colon adenocarcinoma, 56 colon mucinous adenocarcinoma, 50 untreated primary (de novo) gbm, 2 treated primary gbm, 293 head & neck squamous cell carcinoma, 502 kidney clear cell renal carcinoma, 95 kidney papillary renal cell carcinoma, 53 astrocytoma, 67 oligodendroglioma, 40 oligoastrocytoma, 62 hepatocellular carcinoma, 187 lung adenocarcinoma- not otherwise specified (nos), 65 lung adenocarcinoma mixed subtype, 10 lung papillary adenocarcinoma, 2 lung mucinous adenocarcinoma, 4 mucinous (colloid) adenocarcinoma, 2 lung clear cell adenocarcinoma, 6 lung acinar adenocarcinoma, 3 lung bronchioloalveolar carcinoma mucinous, 9 lung bronchioloalveolar carcinoma nonmucinous, 3 lung micropapillary adenocarcinoma, 1 lung solid pattern predominant adenocarcinoma, 269 lung squamous cell carcinoma- not otherwise specified (nos), 7 lung basaloid squamous cell carcinoma, 1 lung small cell squamous cell carcinoma, 1 lung papillary squamous cell caricnoma, 1 lung papillary squamous cell carcinoma, 570 serous cystadenocarcinoma, 127 prostate adenocarcinoma acinar type, 149 rectal adenocarcinoma, 13 rectal mucinous adenocarcinoma, 16 stomach adenocarcinoma - diffuse type, 89 stomach adenocarcinoma - not otherwise specified (nos), 10 stomach intestinal adenocarcinoma - tubular type, 3 stomach intestinal adenocarcinoma - papillary type, 28 stomach intestinal adenocarcinoma - type not otherwise specified (nos), 8 stomach intestinal adenocarcinoma - mucinous type, 59 thyroid papillary carcinoma - follicular (>= 99% follicular patterned), 98 thyroid papillary carcinoma - classical/usual, 20 thyroid papillary carcinoma - tall cell (>= 50% tall cell features), 11 other, 79 serous endometrial adenocarcinoma, 333 endometrioid endometrial adenocarcinoma, 18 mixed serous and endometrioid, 7 endometrioid endometrial adenocarcinoma (grade 3), 3 endometrioid endometrial adenocarcinoma (grade 1 or 2), 9 endometrioid endometrial adenocarcinoma (grade 1), 2 endometrioid endometrial adenocarcinoma (grade 2)
patienttumorrecurrencestatus 5433 without recurrence
tumorgrade 248 grade 3, 106 grade 2, 90 grade 1, 7 high grade
pathologicspread(pt) 599 t3, 13 t4b, 84 t4, 551 t2, 129 t4a, 162 t1, 1 t0, 1 tis, 25 tx, 153 t1b, 60 t3b, 177 t1a, 72 t2a, 137 t3a, 2 t3c, 34 t2b
pathologicspread(pn) 1099 n0, 367 n1, 199 n2, 17 n1b, 72 n2b, 13 n2a, 17 n1a, 3 n1c, 355 nx, 34 n2c, 23 n3, 2 n3a
Tier 1 Data

Table 3.  Get Full Table Illustration of the tier 1 data for three patients

Clinical.Variable Sample_1 Sample_2 Sample_3
yearstobirth 73 57 65
daystodeath NA 223 81
daystolastfollowup 389 NA NA
vitalstatus 0 1 1
dccuploaddate 29-6-2012 29-6-2012 29-6-2012
Methods & Data
Work Flow

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.

Diagram of Clinical Data Dicer

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.