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Screening of genes in EC. (A) The Venn diagram shows the intersection between the DEGs in EC and normal esophageal tissues and the genes related to <t>apoptosis,</t> proliferation, and glycolysis. (B-D) The Lasso regression, SVM, and RF algorithms were used to further screen the 11 genes and identify key signature genes. (E) The Venn diagram shows the key genes identified by the Lasso regression, SVM, and RF algorithms.
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Screening of genes in EC. (A) The Venn diagram shows the intersection between the DEGs in EC and normal esophageal tissues and the genes related to <t>apoptosis,</t> proliferation, and glycolysis. (B-D) The Lasso regression, SVM, and RF algorithms were used to further screen the 11 genes and identify key signature genes. (E) The Venn diagram shows the key genes identified by the Lasso regression, SVM, and RF algorithms.
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Screening of genes in EC. (A) The Venn diagram shows the intersection between the DEGs in EC and normal esophageal tissues and the genes related to <t>apoptosis,</t> proliferation, and glycolysis. (B-D) The Lasso regression, SVM, and RF algorithms were used to further screen the 11 genes and identify key signature genes. (E) The Venn diagram shows the key genes identified by the Lasso regression, SVM, and RF algorithms.
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Screening of genes in EC. (A) The Venn diagram shows the intersection between the DEGs in EC and normal esophageal tissues and the genes related to <t>apoptosis,</t> proliferation, and glycolysis. (B-D) The Lasso regression, SVM, and RF algorithms were used to further screen the 11 genes and identify key signature genes. (E) The Venn diagram shows the key genes identified by the Lasso regression, SVM, and RF algorithms.
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Screening of genes in EC. (A) The Venn diagram shows the intersection between the DEGs in EC and normal esophageal tissues and the genes related to <t>apoptosis,</t> proliferation, and glycolysis. (B-D) The Lasso regression, SVM, and RF algorithms were used to further screen the 11 genes and identify key signature genes. (E) The Venn diagram shows the key genes identified by the Lasso regression, SVM, and RF algorithms.
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Effect of ITPKA overexpression on the functional characteristics of GBM cells. Flow cytometry analysis (A, B) shows the effect of upregulated ITPKA expression on the cell cycle progression of U251-MG and T98G cells; (C, D) evaluates the effect of upregulated ITPKA expression on the <t>apoptosis</t> level of the two indicated cell lines. All experimental data are presented as mean ± standard deviation (SD) from six independent repeated experiments, and Student’s t-test was used for statistical analysis. Data annotation: ns: not significant; *p < 0.05, ****p < 0.0001.
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Screening of genes in EC. (A) The Venn diagram shows the intersection between the DEGs in EC and normal esophageal tissues and the genes related to apoptosis, proliferation, and glycolysis. (B-D) The Lasso regression, SVM, and RF algorithms were used to further screen the 11 genes and identify key signature genes. (E) The Venn diagram shows the key genes identified by the Lasso regression, SVM, and RF algorithms.

Journal: Regenerative Therapy

Article Title: WTAP stabilizes MMP12 expression to promote the malignant phenotypes of esophageal cancer cells

doi: 10.1016/j.reth.2026.101101

Figure Lengend Snippet: Screening of genes in EC. (A) The Venn diagram shows the intersection between the DEGs in EC and normal esophageal tissues and the genes related to apoptosis, proliferation, and glycolysis. (B-D) The Lasso regression, SVM, and RF algorithms were used to further screen the 11 genes and identify key signature genes. (E) The Venn diagram shows the key genes identified by the Lasso regression, SVM, and RF algorithms.

Article Snippet: Apoptosis was evaluated using a Double Staining Apoptosis Kit (Vazyme Biotech, Nanjing, China) following the protocol for Annexin V-FITC and propidium iodide dual staining.

Techniques:

MMP12 knockdown inhibited the migration, invasion, proliferation, and glucose metabolism and induced cell apoptosis. KYSE150 cells were transfected with si-MMP12 or si-NC. (A and B) Cell migration and invasion were analyzed by transwell assays. (C) Cell proliferation was analyzed by EdU assay. (D) Cell apoptosis was assessed by flow cytometry. (E) HK1 and LDHA protein expression were detected by Western blotting. (F–H) Glucose consumption, lactate production, and ATP levels were analyzed by commercial kits. ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

Journal: Regenerative Therapy

Article Title: WTAP stabilizes MMP12 expression to promote the malignant phenotypes of esophageal cancer cells

doi: 10.1016/j.reth.2026.101101

Figure Lengend Snippet: MMP12 knockdown inhibited the migration, invasion, proliferation, and glucose metabolism and induced cell apoptosis. KYSE150 cells were transfected with si-MMP12 or si-NC. (A and B) Cell migration and invasion were analyzed by transwell assays. (C) Cell proliferation was analyzed by EdU assay. (D) Cell apoptosis was assessed by flow cytometry. (E) HK1 and LDHA protein expression were detected by Western blotting. (F–H) Glucose consumption, lactate production, and ATP levels were analyzed by commercial kits. ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

Article Snippet: Apoptosis was evaluated using a Double Staining Apoptosis Kit (Vazyme Biotech, Nanjing, China) following the protocol for Annexin V-FITC and propidium iodide dual staining.

Techniques: Knockdown, Migration, Transfection, EdU Assay, Flow Cytometry, Expressing, Western Blot

WTAP knockdown inhibited the migration, invasion, proliferation, and glucose metabolism and induced cell apoptosis by regulating MMP12 expression. KYSE150 cells were transfected with si-WTAP, MMP12 overexpression plasmid, or the matched control (si-NC and oe-NC). (A) MMP12 protein expression was detected by Western blotting. (B and C) Cell migration and invasion were analyzed by transwell assays. (D and E) Cell proliferation was analyzed by EdU assay. (F) Cell apoptosis was assessed by flow cytometry. (G and H) HK1 and LDHA protein expression were detected by Western blotting. (I–K) Glucose consumption, lactate production, and ATP levels were analyzed by commercial kits. ns: not significant, ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

Journal: Regenerative Therapy

Article Title: WTAP stabilizes MMP12 expression to promote the malignant phenotypes of esophageal cancer cells

doi: 10.1016/j.reth.2026.101101

Figure Lengend Snippet: WTAP knockdown inhibited the migration, invasion, proliferation, and glucose metabolism and induced cell apoptosis by regulating MMP12 expression. KYSE150 cells were transfected with si-WTAP, MMP12 overexpression plasmid, or the matched control (si-NC and oe-NC). (A) MMP12 protein expression was detected by Western blotting. (B and C) Cell migration and invasion were analyzed by transwell assays. (D and E) Cell proliferation was analyzed by EdU assay. (F) Cell apoptosis was assessed by flow cytometry. (G and H) HK1 and LDHA protein expression were detected by Western blotting. (I–K) Glucose consumption, lactate production, and ATP levels were analyzed by commercial kits. ns: not significant, ∗ P < 0.05, ∗∗ P < 0.01 and ∗∗∗ P < 0.001.

Article Snippet: Apoptosis was evaluated using a Double Staining Apoptosis Kit (Vazyme Biotech, Nanjing, China) following the protocol for Annexin V-FITC and propidium iodide dual staining.

Techniques: Knockdown, Migration, Expressing, Transfection, Over Expression, Plasmid Preparation, Control, Western Blot, EdU Assay, Flow Cytometry

Effect of ITPKA overexpression on the functional characteristics of GBM cells. Flow cytometry analysis (A, B) shows the effect of upregulated ITPKA expression on the cell cycle progression of U251-MG and T98G cells; (C, D) evaluates the effect of upregulated ITPKA expression on the apoptosis level of the two indicated cell lines. All experimental data are presented as mean ± standard deviation (SD) from six independent repeated experiments, and Student’s t-test was used for statistical analysis. Data annotation: ns: not significant; *p < 0.05, ****p < 0.0001.

Journal: Frontiers in Oncology

Article Title: ITPKA suppresses glioma progression and predicts patient prognosis

doi: 10.3389/fonc.2026.1802857

Figure Lengend Snippet: Effect of ITPKA overexpression on the functional characteristics of GBM cells. Flow cytometry analysis (A, B) shows the effect of upregulated ITPKA expression on the cell cycle progression of U251-MG and T98G cells; (C, D) evaluates the effect of upregulated ITPKA expression on the apoptosis level of the two indicated cell lines. All experimental data are presented as mean ± standard deviation (SD) from six independent repeated experiments, and Student’s t-test was used for statistical analysis. Data annotation: ns: not significant; *p < 0.05, ****p < 0.0001.

Article Snippet: A total of 5×10 5 stably transfected U251-MG and T98G cells were centrifuged, after which apoptosis detection was performed using the Annexin V-APC/PI Double Staining Apoptosis Detection Kit (KGA1107-100; Keygen Biotech, Nanjing, China).

Techniques: Over Expression, Functional Assay, Flow Cytometry, Expressing, Standard Deviation

Effect of ITPKA knockdown on the functional characteristics of GBM cells. Flow cytometry analysis (A, B) shows the effect of downregulated ITPKA expression on the cell cycle progression of U251-MG and T98G cells; (C, D) evaluates the effect of downregulated ITPKA expression on the apoptosis level of the two indicated cell lines. All experimental data are presented as mean ± standard deviation (SD) from six independent repeated experiments, and Student’s t-test was used for statistical analysis. Data annotation: ns: not significant; *p < 0.05, **p < 0.01, ****p < 0.0001.

Journal: Frontiers in Oncology

Article Title: ITPKA suppresses glioma progression and predicts patient prognosis

doi: 10.3389/fonc.2026.1802857

Figure Lengend Snippet: Effect of ITPKA knockdown on the functional characteristics of GBM cells. Flow cytometry analysis (A, B) shows the effect of downregulated ITPKA expression on the cell cycle progression of U251-MG and T98G cells; (C, D) evaluates the effect of downregulated ITPKA expression on the apoptosis level of the two indicated cell lines. All experimental data are presented as mean ± standard deviation (SD) from six independent repeated experiments, and Student’s t-test was used for statistical analysis. Data annotation: ns: not significant; *p < 0.05, **p < 0.01, ****p < 0.0001.

Article Snippet: A total of 5×10 5 stably transfected U251-MG and T98G cells were centrifuged, after which apoptosis detection was performed using the Annexin V-APC/PI Double Staining Apoptosis Detection Kit (KGA1107-100; Keygen Biotech, Nanjing, China).

Techniques: Knockdown, Functional Assay, Flow Cytometry, Expressing, Standard Deviation