Genomics data from The Cancer Genome Atlas (TCGA) project has led to the comprehensive molecular characterization of multiple cancer types. The large sample numbers in TCGA offer an excellent opportunity to address questions associated with tumo heterogeneity. Exploration of the data by cancer researchers and clinicians is imperative to unearth novel therapeutic/diagnostic biomarkers. Various computational tools have been developed to aid researchers in carrying out specific TCGA data analyses; however there is need for resources to facilitate the study of gene expression variations and survival associations across tumors. Here, we report UALCAN, an easy to use, interactive web-portal to perform to in-depth analyses of TCGA gene expression data. UALCAN uses TCGA level 3 RNA-seq and clinical data from 31 cancer types. The portal's user-friendly features allow to perform: 1) analyze relative expression of a query gene(s) across tumor and normal samples, as well as in various tumor sub-groups based on individual cancer stages, tumor grade, race, body weight or other clinicopathologic features, 2) estimate the effect of gene expression level and clinicopathologic features on patient survival; and 3) identify the top over- and under-expressed (up and down-regulated) genes in individual cancer types. This resource serves as a platform for in silico validation of target genes and for identifying tumor sub-group specific candidate biomarkers. Thus, UALCAN web-portal could be extremely helpful in accelerating cancer research. UALCAN is publicly available at http://ualcan.path.uab.edu.

1. UALCAN: A portal for facilitating tumor subgroup gene
expression and survival analyses
http://ualcan.path.uab.edu
A user friendly web portal developed by researchers at the Department of Pathology
University of Birmingham, Alabama
Google: UALCAN
UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses. Neoplasia, 2017 Aug;19(8):649-658

2.  Genomics data from The Cancer Genome Atlas (TCGA) project has led to the
comprehensive molecular characterization of multiple cancer types
 There is need for resources to facilitate the study of gene expression variations
and survival associations with gene expression across tumors
 UALCAN is an easy to use, interactive web-portal to perform to in-depth
analyses of TCGA gene expression data
 UALCAN allows users to :
• 1) analyze relative expression of a query gene(s) across tumor and normal samples, as
well as in various tumor sub-groups based on individual cancer stages, tumor grade,
race, body weight or other clinicopathologic features.
• 2) estimate the effect of gene expression and clinicopathologic features on patient
survival.
• 3) identify the top over- and under-expressed (up and down-regulated) genes in individual
cancer types
• Provides useful external links for collecting additional information.

3. Home page

4. Bladder urothelial carcinoma
Breast invasive carcinoma
Colon adenocarcinoma
Esophageal carcinoma
Head and Neck squamouscell
carcinoma
Kidney Chromophobe
Scan by gene(s)
Paste gene symbol(s)
TCGA dataset Breast invasive carcinoma
Explore Clear form
EZH2,EGFR,ERBB2
Visualize heatmap
Scan by gene classes
Gene class
Explore Clear form
Welcome to UALCAN analysis page
PANEL1
PANEL2
PANEL3
Scan my genes
Kidney renal clear cell
carcinoma
Kidney renal papillary cell
carcinoma
Liver hepatocellular
carcinoma
Kinase coding genes

5. Top 25 over expressed genes in
prostate adenocarcinoma
Expression of AMACR in different
subclasses of prostate adenocarcinoma

6. Expression of TDRD1 in different subclasses of prostate adenocarcinoma

9. Effect of WASH2P expression and race
on Colon cancer patient survival
Expression profile of FOXQ1 in
different stages of colon cancer

10. Expression profile of ORC6L in
different subclasses of breast cancer
Expression profile of ORC6L in
different subclasses of TNBC

12. Top (26-50) over expressed genes in
Lung adenocarcinoma
Effect of PLK1 expression on lung
adenocarcinoma patient survival

13. Expression profile of KIF4A in Liver
hepatocellular carcinoma based on tumor grades
Effect of KIF4A expression level on
Liver hepatocellular carcinoma patient survival

14. Expression of CELSR1 in Bladder cancer
patients of different race
Effect of CELSR1 expression and race on
Bladder cancer patient survival