. 2018 Feb 28;9(21):15740–15756. doi: 10.18632/oncotarget.24597

Table 2. Analysis of HOTAIR co-expression with HOXA9 in glioma datasets and in other cancer types (lung, leukemia, colorectal, and breast cancer datasets from TCGA) available at Oncomine⁽¹⁾.

Datasets	Correlation HOTAIR/HOXA9	p-value
Glioma, NOS
Portuguese dataset	0.642	<0.0001
French dataset	0.516	<0.001
TCGA, microarray data	0.545	<0.0001
TCGA, RNA-seq data	0.675	<0.0001
Oncomine:
*Freije et al.* (Freije, et al. 2004)**	0.372	<0.001
*Murat (Murat, et al.* 2008)**	0.293	0.008
*Sun (Sun, et al.* 2006)**	0.487	<0.0001
*Phillips (Phillips, et al.* 2006)**	0.309	0.001
Other cancers from Oncomine:
TCGA Lung	0.046	0.555
TCGA Leukemia	–0.019	0.791
TCGA Colorectal	0.012	0.854
TCGA Breast	–0.051	0.215

⁽¹⁾Microarray data from Oncomine dataset, microarray or RNA-seq data from TCGA dataset, quantitative PCR data from the Portuguese dataset (relative gene expression normalized to hGUS or TBP levels), and microfluidic-based qPCR analysis (Fluidigm) data from the French dataset were used to evaluate the Pearson’s correlation.

NOS – not otherwise specified.

Table 2. Analysis of HOTAIR co-expression with HOXA9 in glioma datasets and in other cancer types (lung, leukemia, colorectal, and breast cancer datasets from TCGA) available at Oncomine(1).

Table 2. Analysis of HOTAIR co-expression with HOXA9 in glioma datasets and in other cancer types (lung, leukemia, colorectal, and breast cancer datasets from TCGA) available at Oncomine⁽¹⁾.