Lung 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 1025.9, 1750, 2347, 2904, 3498.5, 4133, 4764, 5467.2, 6246.1, 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 230 230 230
Genes 23778 18249 18160

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
4848 CNOT2 12q15 0.8749 0 0
6729 SRP54 14q13.2 0.8543 0 0
9070 ASH2L 8p11.23 0.846 0 0
11212 PROSC 8p11.23 0.8199 0 0
11336 EXOC3 5p15.33 0.8185 0 0
79648 MCPH1 8p23.1 0.808 0 0
9692 KIAA0391 14q13.2 0.8027 0 0
10818 FRS2 12q15 0.799 0 0
10552 ARPC1A 7q22.1 0.7925 0 0
10576 CCT2 12q15 0.7922 0 0
8881 CDC16 13q34 0.7911 0 0
11171 STRAP 12p12.3 0.7905 0 0
55756 INTS9 8p21.1 0.7901 0 0
10778 ZNF271 18q12.2 0.7896 0 0
8451 CUL4A 13q34 0.7887 0 0
54994 C20orf11 20q13.33 0.7885 0 0
55958 KLHL9 9p21.3 0.7876 0 0
908 CCT6A 7p11.2 0.7835 0 0
55832 CAND1 12q14.3 0.7829 0 0
51340 CRNKL1 20p11.23 0.7824 0 0
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.