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: 48, std: 13
vitalstatus 62 living, 16 deceased
gender 78 female
histologicaltype 64 cervical squamous cell carcinoma, 12 squamous cell carcinoma, 2 endocervical type of adenocarcinoma
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 53 53 48
daystodeath NA NA NA
daystolastfollowup 1505 1505 925
vitalstatus 0 0 0
dccuploaddate 8-3-2013 8-3-2013 8-3-2013
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.