Breast cancerOvarian cancerLung cancerGastric cancer Liver cancerPan-cancer Breast cancerLiver cancerPan-cancer Breast cancer

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1. Select miRNA ID:

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2. Select platform:

RNA-seq (n=421)

CapitalBio miRNA Array (n=156)

Non-commercial spotted (n=166)

OSU-CCC (n=481)

Survival options

Survival	OS (n=614)DFS (n=166)
Split patients by	--none--lower quartilelower tertilemedianupper tertileupper quartile
	Auto select best cutoff
	Trichotomization: --none--T1 vs T3Q1 vs Q4

Follow up threshold:	all2 months4 months6 months12 months18 months24 months30 months36 months48 months60 months120 months180 months240 months
Censore at threshold:
Compute median survival:
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Restrict analysis to subtypes...

Gender:		all male (n=530) female (n=160)
Stage:		all 1 (n=178) 2 (n=124) 3 (n=117) 4 (n=5)
Cirrhosis:		all yes (n=40) no (n=38)
Metastasis:		all yes (n=85) no (n=234)
HBV infection:		all yes (n=62) no (n=16)
Alcohol abuse:		all yes (n=18) no (n=60)
Race:		all white (n=182) black (n=17) asian (n=161) native american (n=2)

Additional analysis options...

Survival at 3 years follow-up: (n=620)
the expression of the gene is compared by a Mann-Whitney test between those alive and those dead at 3 years follow-up
Expression in normal and tumor tissue: (n=367)
the expression of the gene is compared by a Wilcoxon test between tumor and matched normal samples

Compare datasets

RNA-seq: TCGA 412 miRNAs, normal samples
CapitalBio miRNA Array: GSE10694, 119 miRNAs, normal samples
Non-commercial spotted: GSE31384, 525 miRNAs
OSU-CCC Array: GSE6857, 209 miRNAs, normal samples

n = number of patients with available clinical data

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Please note: the generated p value does not include correction for multiple hypothesis testing by default.

Please kindly cite our paper to support further development: Nagy A, Lánczky A, Menyhárt O, Győrffy B. Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets, Scientific Reports, 2018;8:9227 | DOI:10.1038/s41598-018-27521-y