Spss for windows 17

Statistical analyses were performed using SPSS for Windows 17.0 software (SPSS, Inc., Chicago, IL, USA). Differences between only two treatment groups were evaluated by independent samples or paired t-test. Differences between treatments of more than two groups were evaluated using one-way analysis of variance (ANOVA) followed by Fisher's least significant difference (LSD) test. Data were represented as means with standard errors (mean ± S.E.). Results were considered statistically significant if the p-value was less than 0.05 (*) or 0.01(**).

The 16S sequencing data were represented as median with interquartile range. All other data were represented as means with standard errors (mean ± SEM). For 16S sequencing data, Mann–Whitney test was performed to identify bacteria with significantly different proportions between different groups. For all other data, to determine statistical significance, Student's t test was used to assess statistical differences between two groups. Statistical significance among multiple treatment groups was determined using one‐way analysis of variance followed by Duncan's post‐hoc test. Results were considered statistically significant for p value < 0.05. Statistical analyses were performed using SPSS for Windows 17.0 Software.
For all other methods see the Supporting Materials.

Fecal samples were collected from mice before and after HFD feeding and stored at −80°C. Fecal DNA was extracted from frozen fecal samples using the E.Z.N.A. Stool DNA Kit (Omega Bio‐Tek, Inc.). All DNA samples were stored at −80°C before sequencing, which was performed by SeqMatic LLC using Illumina sequencing libraries. FASTQ data were processed on Illumina's BaseSpace servers using the Qiime pipeline. Relative abundance of all bacteria was calculated for further analysis. Principle coordinates analysis (PCoA) was conducted using multidimensional scaling function in SPSS for Windows 17.0 Software (SPSS, Inc.). Heatmaps were generated using Morpheus (https://software.broadinstitute.org/morpheus). Values in the heatmap were mapped to colors using the minimum and maximum of each row independently. The hierarchical cluster of each heatmap was performed using the one‐minus Pearson correlation method.

All statistical analyses were performed using Statistical Product and Service Solutions (SPSS) for windows 17.0 software (SPSS Inc. Chicago, IL). The correlation between CN and protein expression was evaluated by Pearson’s correlation test. Comparisons between different two groups were undertaken using the Student’s t-test. The significance of association between CN alterations and histopathological variables was determined by Chi-square and Fisher exact test. Overall survival was calculated from the date of diagnosis to death as a result of all causes. Disease-free survival (DFS) was computed from the time of surgery to recurrence in the liver or distant metastasis. The Kaplan–Meier method was used for univariate survival analysis, and the difference between survival curves was tested by a log-rank test. In a stepwise forward fashion, parameters with P values < 0.05 at the univariate level were entered into a Cox regression model to analyze their relative prognostic importance. However, the vascular invasion and tumor number components of the 7^th AJCC staging system were not introduced into the multivariate analyses. For all analyses, two-sided tests of significance were used with P < 0.05 considered significant.