Additional file 2 of Removal of tumor thrombus from the azygos vein in an esophageal squamous cell carcinoma patient

Additional file 2. The scan version of original chest CT of the patient after 4 rounds of neoadjuvant chemotherapy

Additional file 1 of Removal of tumor thrombus from the azygos vein in an esophageal squamous cell carcinoma patient

Additional file 1. The scan version of original chest CT of the patient before surgery

Additional file 1: of The transcription factor LEF1 promotes tumorigenicity and activates the TGF-β signaling pathway in esophageal squamous cell carcinoma

Figure S1. LEF1 and ID1 expression in ESCC samples and the transcription of ID1 is regulated by LEF1. (A) LEF1 and ID1 staining by IHC in ESCC TMAs were showed. Upper panel was used for analysis of expression association between LEF1 and ID1.A total of 243 LEF1 staining patients were used for clinicopathological characteristics analysis. (B) The overall survival rates of 243(left panel) and 338 patients (right panel) with ESCC were compared with different groups by Kaplan–Meier analysis. (C) Diagram showed that LEF1 bound to the promoter of ID1 and putative LEF1 binding sites are indicated. (D) ChIP assays confirmed that LEF1 could bind to the ID1 promoter in ECA109 and TE1 cells. Quantification of immunoprecipitated DNA was shown by qRT-PCR. (E) Correlation of expression levels of LEF1 and ID1 in 98 patients (left panel) and total 129 patients (right panel) are shown. (PDF 238 kb

List of symbols used in the paper.

List of symbols used in the paper.</p

Computation times in seconds of the MATI algorithm for different numbers of seed nodes under the IC model.

We show results for the following networks: (a)WikiVote; (b)NetHEPT; (c)Epinions; (d)Email-EuAll. Each plot depicts the running time in seconds that MATI requires to produce a ranging number of seed nodes. We observe that the computation time is close to linear with respect to the number of seed nodes that the algorithm identifies as influential.</p

Computation times in seconds of the MATI algorithm for different numbers of seed nodes under the LT model.

We show results for the following networks: (a)WikiVote; (b)NetHEPT; (c)Epinions; (d)Email-EuAll. Each plot depicts the running time in seconds that MATI requires to produce a ranging number of seed nodes. We observe that the computation time is close to linear with respect to the number of seed nodes that the algorithm identifies as influential.</p

Illustration of the Linear Threshold model.

The white colored nodes are in an inactive state whereas the pink colored nodes are in an active state. Node u will be activated if pv1,u+pv3,u ≥ θu.</p

Additional file 2: of The transcription factor LEF1 promotes tumorigenicity and activates the TGF-β signaling pathway in esophageal squamous cell carcinoma

Table S1. Correlation between LEF1 expression and clinicopathological characteristics in 243 patients. Table S2. Correlation between LEF1 expression and clinicopathological characteristics in total 338 patients. (DOCX 21 kb

Properties of the real-world graphs used.

Properties of the real-world graphs used.</p