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. 2019 Sep 5;44(5):1753–1770. doi: 10.3892/ijmm.2019.4332

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Copyright: © Xu et al.

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Expression analysis and ROC curves of all the hub genes. (A) A hierarchical clustering heat-map of the hub genes from control and SSc skin tissue from the GSE95065 dataset. The X-axis represents sample symbols (from left to right: Samples of the control skin tissue and samples of SSc skin tissue); the Y-axis represents differentially expressed genes. Blue, low expression; white, medium expression; and red, high expression. (B) A hierarchical clustering heat-map of the hub genes from control and SSc skin tissue from the GSE76885 dataset. The X-axis represents sample symbols (from left to right: Samples of the control skin tissue and samples of SSc skin tissue); the Y-axis represents differentially expressed genes. Green, low expression; black, medium expression; and red, high expression. (C) ROC curves indicating that all hub genes could sensitively and specifically predict SSc. ROC, receiver operator characteristic; SSc, systemic scelerosis. IL6, interleukin-6; BMP4, bone morphogenetic protein 4; CALU, calumenin; CLU, clusterin; CYR61, cysteine rich angiogenic inducer 61; PRSS23, serine protease 23; SCG2, secretogranin II; SOCS3, suppressor of cytokine signaling 3; TLR4, Toll-like receptor 4; TNC, tenascin C.