Additional file 1 of Targeting Lymphotoxin Beta and Paired Box 5: a potential therapeutic strategy for soft tissue sarcoma metastasis
Creators: name: Huang, Runzhi
name: Zeng, Zhiwei
name: Yan, Penghui
name: Yin, Huabin
name: Zhu, Xiaolong
name: Hu, Peng
name: Zhuang, Juanwei
name: Li, Jiaju
name: Li, Siqi
name: Song, Dianwen
name: Meng, Tong
name: Huang, Zongqiang
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1. Table S1 The baseline information of patients with STS; Table S2 The regulatory relationship between transcription factors and immune genes; Table S3 The series information of ChIP-seq datasets; Figure S1 Identification of differentially expressed genes : The heatmap and volcano plot of differentially expressed genes (A, B), immune genes (C, D), and transcription factors (E, F) between localized STS and STS with metastasis; Figure S2 Oncomine database validation. TB (A), LY9 (C), SLAMF7 (D), and ICAM1 (E) were down regulated, while IL5RA (B) were up-regulated in different STS-related studies; Figure S3 UALCAN database validation. LTB (P = 0.006) (A), IL1A (P = 0.019) (B), LY9 (P = 0.008) (C), SLAMF7 (P = 0.013) (D), IL5RA (P = 0.031) (E), IL7 (P = 0.041) (F), and ICAM1 (P = 0.030) (G) were significantly correlated with STS patients’ prognosis. Besides, expression of LTB (P &lt; 0.001) (A), IL1A (P &lt; 0.001) (B), LY9 (P &lt; 0.001) (C), and SLAMF7 (P &lt; 0.001) (D) were significantly different between normal and tumor tissues; Figure S4 K-M Plotter database validation. LTB (P &lt; 0.001) (A), IL1A (P = 0.003) (B), IL5RA (P &lt; 0.001) (C), IL7 (P = 0.041) (D), LY9 (P &lt; 0.001) (E), SLAMF7 (P = 0.006) (F), and ICAM1 (P = 0.015) (G) were significantly correlated with patients’ prognosis; Figure S5 TISIDB database validation. LTB (P = 0.006) (A), IL1A (P = 0.019) (B), IL7 (P = 0.021) (C), LY9 (P &lt; 0.001) (D), SLAMF7 (P = 0.006) (E), and ICAM1 (P = 0.043) (F) were significantly correlated with patients’ prognosis; Figure S6 LinkedOmics database validation. LTB (P &lt; 0.001) (A), IL1A (P &lt; 0.015) (C), IL5RA (P &lt; 0.030) (D), IL7 (P &lt; 0.022) (E), LY9 (P = 0.001) (F), SLAMF7 (P = 0.008) (G), and ICAM1 (P = 0.035) (H) were significantly correlated with patients’ prognosis. LTB were significantly correlated with PAX5 (P &lt; 0.001, R = 0.31) (B), IL1A (P = 0.008, R = 0.17) (C), IL5RA (P &lt; 0.001, R = 0.43) (D), IL7 (P &lt; 0.001, R = 0.51) (E), LY9 (P &lt; 0.001, R = 0.82) (F), SLAMF7 (P &lt; 0.001, R = 0.79) (G), and ICAM1 (P &lt; 0.001, R = 0.61) (H). (I) Volcano plot and heatmaps displayed the genes most significantly correlated with LTB; Figure S7 GEPIA database validation. LTB (P = 0.004) (A), IL5RA (P &lt; 0.001) (B), LY9 (P = 0.006) (C), and ICAM1 (P = 0.037) (D) were significantly correlated with prognosis. LTB was significantly correlated with PAX5 (P &lt; 0.001, R = 0.34) (E), IL1A (P = 0.016, R = 0.15) (F), IL5RA (P &lt; 0.001, R = 0.41) (G), IL7 (P &lt; 0.001, R = 0.50) (H), LY9 (P &lt; 0.001, R = 0.81) (I), SLAMF7 (P &lt; 0.001, R = 0.79) (J), and ICAM1 (P &lt; 0.001, R = 0.56) (K); Figure S8 cBioportal database validation. (A) mRNA expression of each biomarker illustrated by heatmap. Spearman correlation analysis shown that LTB was significantly correlated with PAX5 (P &lt; 0.001, R = 0.31) (B), IL1A (P = 0.009, R = 0.31) (C), IL5RA (P &lt; 0.001, R = 0.43) (D), IL7 (P &lt; 0.001, R = 0.52) (E), LY9 (P &lt; 0.001, R = 0.83) (F), SLAMF7 (P &lt; 0.001, R = 0.79) (G), and ICAM1 (P &lt; 0.001, R = 0.60) (H). (I) K-M survival analysis integrated with all the biomarkers shown that the overall expression of biomarkers was significantly related to patients’ prognosis; Figure S9 Protein-protein interaction network. (A) PathCards database provided the main biomarkers actively involved in hematopoietic cell lineage pathway, including IL5RA, LY9, SLAMF7, and ICAM1. (B) STRING database shown that all the biomarkers were tightly connected with each other.