The criteria of the TNM classification system for malignant tumors (American Joint Committee on Cancer and Union for International Cancer Control, 2018) were used in our study. An unpaired t-test and Pearson correlation coefficients were carried out by Prism 8.0 GraphPad software, which were used to conduct a statistical analysis of TCGA data. The relationship between the protein expression levels of HOXC11 and LSH and clinicopathologic characteristics were tested using a chi-square test, which was performed with SPSS 23.0 statistical software (SPSS Inc, Chicago, IL). Statistical analysis of Kaplan-Meier plotter gastric cancer datasets was carried out using the Kaplan-Meier method and Log rank test by Prism 8.0 GraphPad software. All the cell experiments were repeated at least three times, t-test was used to analyze the difference between two groups by Prism 8.0 GraphPad software. A two-tailed P value of less than 0.05 was considered statistically significant, and the confidence interval is 95%.
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Prism 8.0 is a data analysis and graph creation software developed by GraphPad. It provides tools for researchers to visualize and analyze their data through various graph types and statistical analyses. The software is designed to be user-friendly and offers a range of features to help users present their findings effectively.
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24 protocols using 8.0 prism
1
Analyzing HOXC11 and LSH in Gastric Cancer
2
Concordance of Liquid and Tissue Biopsies
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Genes and specific exons overlapping on both CGP panels were reviewed for subject-based concordance and alteration-specific concordance using descriptive statistics. We defined subject complete concordance describing all possible matching genes on both panels. Partial concordance was defined as at least one gene matching but not all possible genes. For this study, we chose to only report of the variants of known significance as arbitrated by ClinVar [12 (link)]. Alteration specific concordance for liquid biopsy was defined by the positive percent agreement (PPA). We define PPA as the number of alterations detected in the liquid biopsy divided by the number of alterations identified in the liquid and tissue biopsy. Correlation between circulating tumor fraction (TF) and tumor volume were evaluated using linear regression methods. Descriptive statistics and calculations were performed in Graphpad 8.0 Prism.
3
Statistical Analysis of Experimental Data
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All statistical analyses were conducted using SPSS 22.0 and GraphPad 8.0 Prism software. All data are expressed as the mean ± SD, and one-way analysis of variance was used to compare multiple groups. Statistical significance was set at P < 0.05.
4
Analysis of In Vitro and In Vivo Data
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Statistical analyses were performed using IBM SPSS Statistics 23 (SPSS Inc., Chicago, IL) and GraphPad 8.0 PRISM®. Briefly, in vitro data were compared using a one-way ANOVA followed by Duncan's post hoc tests (among the groups, i.e., different culturing conditions), or paired Student's t-test (within groups, i.e., when analyzing short-term insulin effect). Additionally, in vivo data were compared using a one-way ANOVA followed by Duncan's post hoc tests (among groups). All data are presented as mean ± SEM. P-values <0.05 are considered statistically significant.
5
Statistical Analysis of Experimental Data
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All data are represented as the mean ± SD. For multiple comparisons, one-way analysis of variance analysis will be used, followed by the Tukey’s post hoc test for analyzing parametric data. All statistical analyses will be performed using GraphPad 8.0 Prism (GraphPad Software, Inc., San Diego, CA, United States). P < 0.05 represents statistical significance.
6
Quantifying Cell Proliferation Dynamics
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All the results were obtained from 3 to 5 independent experiments. The statistical analysis was performed using GraphPad 8.0 Prism (GraphPad Software 8, San Diego, CA, USA). Data were presented as mean ± SEM. Student’s t-tests were used to assess between-group differences, and multiple-group comparisons were performed with one-way analysis of variance followed by Tukey Kramer’s post hoc test. The results were considered statistically significant at p < 0.05.
7
Quantitative Analysis of Cell Viability
8
Coagulation Profiles in Diabetes Mellitus
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The GraphPad 8.0 Prism package was used for statistical evaluation. Differences in Table 1 between participants with type 1 diabetes mellitus (T1DM) and participants with type 2 diabetes mellitus (T2DM) were determined by means of Student’s t test (quantitative variables) or by means of Fischer’s exact test (qualitative variables). The significance of the influence of vaccination on coagulation variables was calculated by means of Friedman test and Dunn’s multiple comparison test in T1DM participants (Table 2 ), as well as in T2DM participants (Table 3 ). All p values of ≤0.05 were considered statistically significant. * p ≤ 0.05, ** p ≤ 0.01, *** p ≤ 0.001.
9
Orthostatic Coagulation Changes in Young and Older Adults
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The GraphPad 8.0 Prism package was used for statistical evaluation. Differences between mean values of continuous variables (age, BMI) were tested for statistical significance by the Mann–Whitney test, frequencies of all other (categorical) variables were compared between young and older participants by Fisher’s exact test (Table 1 ) [24 (link)]. Differences of baseline levels between young and older participants were tested for statistical significance by means of the Mann–Whitney test (Table 2 ). Differences between post-standing and baseline levels were tested for significance by means of the Wilcoxon matched pairs signed-rank test (Table 3 and Table 4 ). Differences of coagulation value changes due to orthostatic challenge between young and older participants were tested for significance by means of the Mann–Whitney test (Figure 1 ). p values less than 0.05 were considered statistically significant.
10
Quantitative Analysis of Cell Viability
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All data were collected from three or more independent experiments. Results were expressed as mean ± S.D. Graphpad 8.0 Prism was used to perform statistical analyses. Significance of differences between groups was evaluated by Student’s t-test or ANOVA. p < 0.05 was considered significant.
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