Prostate Adenocarcinoma: Correlations between copy number and mRNAseq expression
Maintained by TCGA GDAC Team (Broad Institute/Dana-Farber Cancer Institute/Harvard Medical School)
Overview
Introduction

A TCGA sample is profiled to detect the copy number variations and expressions of genes. This pipeline attempts to correlate copy number and Rnaseq data of genes across samples to determine if the copy number variations also result in differential expressions. This report contains the calculated correlation coefficients based on measurements of genomic copy number (log2) values and RNAseq expression of the corresponding feature across patients. High positive/low negative correlation coefficients indicate that genomic alterations result in differences in the expressions of mRNAseq the genomic regions transcribe.

Summary

The correlation coefficients in 10, 20, 30, 40, 50, 60, 70, 80, 90 percentiles are 714, 1715.2, 2727.8, 3313.4, 3895, 4492, 5150, 5917.8, 6846, respectively.

Results
Correlation results

Number of genes and samples used for the calculation are shown in Table 1. Figure 1 shows the distribution of calculated correlation coefficients and quantile-quantile plot of the calculated correlation coefficients against a normal distribution. Table 2 shows the top 20 features ordered by the value of correlation coefficients.

Table 1.  Counts of mRNAseq and number of samples in copy number and expression data sets and common to both

Category Copy number Expression Common
Sample 152 53 53
Genes 23778 18155 18057

Figure 1.  Summary figures. Left: histogram showing the distribution of the calculated correlations across samples for all Genes. Right: QQ plot of the calculated correlations across samples. The QQ plot is used to plot the quantiles of the calculated correlation coefficients against that derived from a normal distribution. Points deviating from the blue line indicate deviation from normality.

Table 2.  Get Full Table Top 20 features (defined by the feature column) ranked by correlation coefficients

Locus ID Gene Symbol Cytoband cor p-value q-value
55140 ELP3 8p21.1 0.9343 0 0
9798 IST1 16q22.2 0.9302 0 0
91782 CHMP7 8p21.3 0.9145 0 0
10671 DCTN6 8p12 0.91 0 0
55246 CCDC25 8p21.1 0.9076 0 0
57805 KIAA1967 8p21.3 0.8999 0 0
51125 GOLGA7 8p11.21 0.896 0 0
7014 TERF2 16q22.1 0.888 0 0
55308 DDX19A 16q22.1 0.8866 0 0
8881 CDC16 13q34 0.8781 0 0
11212 PROSC 8p11.23 0.8744 0 0
5516 PPP2CB 8p12 0.8708 0 0
5728 PTEN 10q23.31 0.8695 0 0
27257 LSM1 8p11.23 0.867 0 0
55756 INTS9 8p21.1 0.8659 0 0
5533 PPP3CC 8p21.3 0.8635 0 0
3150 HMGN1 21q22.2 0.8628 0 0
285237 C3orf38 3p11.1 0.862 0 0
5713 PSMD7 16q23.1 0.8619 0 0
9070 ASH2L 8p11.23 0.8596 2.22044604925031e-16 9.31025546330628e-14
Methods & Data
Input

Gene level (TCGA Level III) mRNAseq expression data and copy number data of corresponding gene derived by GISTIC pipelinePearson correlation coefficients were calculated for each pair of genes shared by the two data sets across all the samples that were common.

Correlation across sample

Pairwise correlations between the log2 copy numbers and expressions of each gene across samples were calculated using Pearson correlation.

Download Results

This is an experimental feature. The full results of the analysis summarized in this report can be downloaded from the TCGA Data Coordination Center.