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Fig. 2 | Cancer Communications

Fig. 2

From: Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma

Fig. 2

The patients identified from the GSE53624 dataset (n = 119) are grouped with three risk stages. a Univariate Cox proportional hazards regression analysis of the expression profiling data of PCGs and lncRNAs. b Eigenvalues of the principal components show most of the variance in the GSE53624 dataset is contained in the first three principal components. c Clustering of the patients with ESCC identified from the GSE53624 dataset according to the three principal component scores using NbClust (Euclidean distance, complete linkage) indicates that optimal cluster number was three with the largest index. d Principal component analysis of the GSE53624 dataset. Axes are principal components 1, 2, and 3. PCG protein-coding gene, lncRNA long non-coding RNA

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