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ATCC human pc3 metastatic pca cell line
The PDPK1/AKT/FLT DPI and tenovin-6 (T6) show high anti-cancer efficacy in murine tumoroids and human PCa cell lines (A) Dose-response curves for DPI (top) and T6 (bottom) for in vivo and in vitro Pten KO (left), Pten/Stat3 KO (middle), and Pten/Tp53 KO (right) tumoroids. Points represent means of technical duplicates per tumoroid line ( N = 3). Curve fitting was performed using GraphPad Prism 8.0.2. (B) Bar graphs showing means and ±SD of half-maximal inhibitory concentration (IC50) for DPI (top) and T6 (bottom) for in vivo and in vitro tumoroid lines of all genotypes ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA, Tukey’s test). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05. (C) Bar graphs depicting means and ±SD of IC50 values of DPI (left) and T6 (right) on human PCa cell lines. 22RV1: primary PCa; LNCaP: metastatic PCa; DU145, <t>PC3:</t> metastatic castration-resistant PCa ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05; ∗∗ p ≤ 0.01. (D) Heatmaps of synergy scores calculated with the highest single agent (HSA) model for DPI and enzalutamide (left), and T6 and enzalutamide (right) on the human LNCaP cell line. Values > 0 represent synergistic effects, and values < 0 represent antagonistic effects. IC50 concentrations of respective compounds are underlined ( N = 3). See also .
Human Pc3 Metastatic Pca Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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human pc3 metastatic pca cell line - by Bioz Stars, 2026-07
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99
ATCC human pca cell lines
The PDPK1/AKT/FLT DPI and tenovin-6 (T6) show high anti-cancer efficacy in murine tumoroids and human PCa cell lines (A) Dose-response curves for DPI (top) and T6 (bottom) for in vivo and in vitro Pten KO (left), Pten/Stat3 KO (middle), and Pten/Tp53 KO (right) tumoroids. Points represent means of technical duplicates per tumoroid line ( N = 3). Curve fitting was performed using GraphPad Prism 8.0.2. (B) Bar graphs showing means and ±SD of half-maximal inhibitory concentration (IC50) for DPI (top) and T6 (bottom) for in vivo and in vitro tumoroid lines of all genotypes ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA, Tukey’s test). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05. (C) Bar graphs depicting means and ±SD of IC50 values of DPI (left) and T6 (right) on human PCa cell lines. 22RV1: primary PCa; LNCaP: metastatic PCa; DU145, <t>PC3:</t> metastatic castration-resistant PCa ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05; ∗∗ p ≤ 0.01. (D) Heatmaps of synergy scores calculated with the highest single agent (HSA) model for DPI and enzalutamide (left), and T6 and enzalutamide (right) on the human LNCaP cell line. Values > 0 represent synergistic effects, and values < 0 represent antagonistic effects. IC50 concentrations of respective compounds are underlined ( N = 3). See also .
Human Pca Cell Lines, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pca+cell+lines+pc+3/pm41826300-438-14-20?v=ATCC
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human pca cell lines - by Bioz Stars, 2026-07
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ATCC pca epithelial cell lines pc3
a Schematic of a preclinical treatment procedure. Two weeks after subcutaneous inoculation and in vivo uptake of <t>PC3/PSC27</t> cell recombinants, NOD/SCID mice received either single-agent or combinatorial metronomic treatment in multiple cycles. b Tumor end volume analysis. PC3 cells were inoculated alone or with PSC27 cells for subcutaneous implantation at mouse hind flanks, followed by 0.2 mg/kg mitoxantrone (MIT) and 20 mg/kg DMY treatment (single or combined). Left, comparative statistics. Right, representative tumor images. n = 10 per group? c Transcriptional analysis of typical SASP factors in stromal and cancer cells isolated via laser capture microdissection (LCM). Signals were normalized to the lowest value of placebo group. n = 10 per group. d Transcriptional analysis of two canonical senescence biomarkers p16 Ink4a and p21 Cip1 . n = 10 per group. c , d center line, median; box, interquartile range; whiskers, minimum to maximum. e SA-β-Gal staining in tumor tissue at the end of therapeutic regimens. Left, representative images. Right, comparative statistics. Scale bar, 100 μm. n = 4 per group. f Apoptosis assessment via cleaved caspase 3-based immunohistochemistry staining of tumor tissues at the end of therapeutic regimen. Top, representative images. bottom, comparative statistics. Scale bar, 100 μm. g lmmunohistochemical staining of IL6 in tumor tissues at the end of therapeutic regimen. Left, representative images. Right, comparative statistics. Scale bar, 50 μm. n = 4 per group. h Circulating levels of SASP factors including AREG and IL6 in the serum of MIT/DMY-treated NOD/SCID mice. Data are presented as mean ± SD. P values were calculated using two-tailed unpaired Student’s t tests. ^ P > 0.05; * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001. Source data are provided as a Source Data file.
Pca Epithelial Cell Lines Pc3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pca+cell+lines+pc+3/pmc13129084-381-1-11?v=ATCC
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ATCC human pca cell lines pc3
a Schematic of a preclinical treatment procedure. Two weeks after subcutaneous inoculation and in vivo uptake of <t>PC3/PSC27</t> cell recombinants, NOD/SCID mice received either single-agent or combinatorial metronomic treatment in multiple cycles. b Tumor end volume analysis. PC3 cells were inoculated alone or with PSC27 cells for subcutaneous implantation at mouse hind flanks, followed by 0.2 mg/kg mitoxantrone (MIT) and 20 mg/kg DMY treatment (single or combined). Left, comparative statistics. Right, representative tumor images. n = 10 per group? c Transcriptional analysis of typical SASP factors in stromal and cancer cells isolated via laser capture microdissection (LCM). Signals were normalized to the lowest value of placebo group. n = 10 per group. d Transcriptional analysis of two canonical senescence biomarkers p16 Ink4a and p21 Cip1 . n = 10 per group. c , d center line, median; box, interquartile range; whiskers, minimum to maximum. e SA-β-Gal staining in tumor tissue at the end of therapeutic regimens. Left, representative images. Right, comparative statistics. Scale bar, 100 μm. n = 4 per group. f Apoptosis assessment via cleaved caspase 3-based immunohistochemistry staining of tumor tissues at the end of therapeutic regimen. Top, representative images. bottom, comparative statistics. Scale bar, 100 μm. g lmmunohistochemical staining of IL6 in tumor tissues at the end of therapeutic regimen. Left, representative images. Right, comparative statistics. Scale bar, 50 μm. n = 4 per group. h Circulating levels of SASP factors including AREG and IL6 in the serum of MIT/DMY-treated NOD/SCID mice. Data are presented as mean ± SD. P values were calculated using two-tailed unpaired Student’s t tests. ^ P > 0.05; * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001. Source data are provided as a Source Data file.
Human Pca Cell Lines Pc3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pca+cell+lines+pc+3/pm41631773-279-10-16?v=ATCC
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human pca cell lines pc3 - by Bioz Stars, 2026-07
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Procell Inc human pca cell line pc 3
a Schematic of a preclinical treatment procedure. Two weeks after subcutaneous inoculation and in vivo uptake of <t>PC3/PSC27</t> cell recombinants, NOD/SCID mice received either single-agent or combinatorial metronomic treatment in multiple cycles. b Tumor end volume analysis. PC3 cells were inoculated alone or with PSC27 cells for subcutaneous implantation at mouse hind flanks, followed by 0.2 mg/kg mitoxantrone (MIT) and 20 mg/kg DMY treatment (single or combined). Left, comparative statistics. Right, representative tumor images. n = 10 per group? c Transcriptional analysis of typical SASP factors in stromal and cancer cells isolated via laser capture microdissection (LCM). Signals were normalized to the lowest value of placebo group. n = 10 per group. d Transcriptional analysis of two canonical senescence biomarkers p16 Ink4a and p21 Cip1 . n = 10 per group. c , d center line, median; box, interquartile range; whiskers, minimum to maximum. e SA-β-Gal staining in tumor tissue at the end of therapeutic regimens. Left, representative images. Right, comparative statistics. Scale bar, 100 μm. n = 4 per group. f Apoptosis assessment via cleaved caspase 3-based immunohistochemistry staining of tumor tissues at the end of therapeutic regimen. Top, representative images. bottom, comparative statistics. Scale bar, 100 μm. g lmmunohistochemical staining of IL6 in tumor tissues at the end of therapeutic regimen. Left, representative images. Right, comparative statistics. Scale bar, 50 μm. n = 4 per group. h Circulating levels of SASP factors including AREG and IL6 in the serum of MIT/DMY-treated NOD/SCID mice. Data are presented as mean ± SD. P values were calculated using two-tailed unpaired Student’s t tests. ^ P > 0.05; * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001. Source data are provided as a Source Data file.
Human Pca Cell Line Pc 3, supplied by Procell Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pca+cell+lines+pc+3/pm41559633-99-7-20?v=Procell+Inc
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human pca cell line pc 3 - by Bioz Stars, 2026-07
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ATCC pca cell lines pc3
Lower AZGP1 expression facilitates the progression and prognosis of PCa. A Boxplot of the differences in AZGP1 expression among PCa samples with T2, T3, and T4 stages in the TCGA-PRAD dataset. B Boxplot of the differences in AZGP1 expression between N0 and N1 PCa samples in the TCGA-PRAD dataset. C Boxplot of the differences in AZGP1 expression among PCa samples with different Gleason scores in the TCGA-PRAD dataset. D Forest plot visualizing the meta-analysis of nine bulk datasets based on the Cox regression analysis of AZGP1 expression. E In vivo imaging of six OE- Azgp1 and six NC mice (left) with tail vein injections of <t>PC3</t> cells. Comparison of the average immunofluorescence intensity of the metastatic regions (right). F Representative images of immunohistochemical staining for AZGP in metastatic and non-metastatic PCa tissue samples. G Scatter plots comparing the histoscores (H-score) of the immunohistochemical staining between 20 metastatic and 20 non-matastatic PCa tissue samples. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001
Pca Cell Lines Pc3, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pca+cell+lines+pc+3/pmc12801908-75-9-23?v=ATCC
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Image Search Results


The PDPK1/AKT/FLT DPI and tenovin-6 (T6) show high anti-cancer efficacy in murine tumoroids and human PCa cell lines (A) Dose-response curves for DPI (top) and T6 (bottom) for in vivo and in vitro Pten KO (left), Pten/Stat3 KO (middle), and Pten/Tp53 KO (right) tumoroids. Points represent means of technical duplicates per tumoroid line ( N = 3). Curve fitting was performed using GraphPad Prism 8.0.2. (B) Bar graphs showing means and ±SD of half-maximal inhibitory concentration (IC50) for DPI (top) and T6 (bottom) for in vivo and in vitro tumoroid lines of all genotypes ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA, Tukey’s test). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05. (C) Bar graphs depicting means and ±SD of IC50 values of DPI (left) and T6 (right) on human PCa cell lines. 22RV1: primary PCa; LNCaP: metastatic PCa; DU145, PC3: metastatic castration-resistant PCa ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05; ∗∗ p ≤ 0.01. (D) Heatmaps of synergy scores calculated with the highest single agent (HSA) model for DPI and enzalutamide (left), and T6 and enzalutamide (right) on the human LNCaP cell line. Values > 0 represent synergistic effects, and values < 0 represent antagonistic effects. IC50 concentrations of respective compounds are underlined ( N = 3). See also .

Journal: Cell Reports Methods

Article Title: Biobank of genetically defined murine prostate cancer tumoroids uncovers oncogenic pathways and drug vulnerabilities driven by PTEN-loss

doi: 10.1016/j.crmeth.2026.101370

Figure Lengend Snippet: The PDPK1/AKT/FLT DPI and tenovin-6 (T6) show high anti-cancer efficacy in murine tumoroids and human PCa cell lines (A) Dose-response curves for DPI (top) and T6 (bottom) for in vivo and in vitro Pten KO (left), Pten/Stat3 KO (middle), and Pten/Tp53 KO (right) tumoroids. Points represent means of technical duplicates per tumoroid line ( N = 3). Curve fitting was performed using GraphPad Prism 8.0.2. (B) Bar graphs showing means and ±SD of half-maximal inhibitory concentration (IC50) for DPI (top) and T6 (bottom) for in vivo and in vitro tumoroid lines of all genotypes ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA, Tukey’s test). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05. (C) Bar graphs depicting means and ±SD of IC50 values of DPI (left) and T6 (right) on human PCa cell lines. 22RV1: primary PCa; LNCaP: metastatic PCa; DU145, PC3: metastatic castration-resistant PCa ( N = 3). Statistical analysis was performed using GraphPad Prism 8.0.2 (one-way ANOVA). p > 0.05 if not specified otherwise, ∗ p ≤ 0.05; ∗∗ p ≤ 0.01. (D) Heatmaps of synergy scores calculated with the highest single agent (HSA) model for DPI and enzalutamide (left), and T6 and enzalutamide (right) on the human LNCaP cell line. Values > 0 represent synergistic effects, and values < 0 represent antagonistic effects. IC50 concentrations of respective compounds are underlined ( N = 3). See also .

Article Snippet: Human PC3 metastatic PCa cell line , ATCC , CRL-1435; RRID:CVCL_0035.

Techniques: In Vivo, In Vitro, Concentration Assay

a Schematic of a preclinical treatment procedure. Two weeks after subcutaneous inoculation and in vivo uptake of PC3/PSC27 cell recombinants, NOD/SCID mice received either single-agent or combinatorial metronomic treatment in multiple cycles. b Tumor end volume analysis. PC3 cells were inoculated alone or with PSC27 cells for subcutaneous implantation at mouse hind flanks, followed by 0.2 mg/kg mitoxantrone (MIT) and 20 mg/kg DMY treatment (single or combined). Left, comparative statistics. Right, representative tumor images. n = 10 per group? c Transcriptional analysis of typical SASP factors in stromal and cancer cells isolated via laser capture microdissection (LCM). Signals were normalized to the lowest value of placebo group. n = 10 per group. d Transcriptional analysis of two canonical senescence biomarkers p16 Ink4a and p21 Cip1 . n = 10 per group. c , d center line, median; box, interquartile range; whiskers, minimum to maximum. e SA-β-Gal staining in tumor tissue at the end of therapeutic regimens. Left, representative images. Right, comparative statistics. Scale bar, 100 μm. n = 4 per group. f Apoptosis assessment via cleaved caspase 3-based immunohistochemistry staining of tumor tissues at the end of therapeutic regimen. Top, representative images. bottom, comparative statistics. Scale bar, 100 μm. g lmmunohistochemical staining of IL6 in tumor tissues at the end of therapeutic regimen. Left, representative images. Right, comparative statistics. Scale bar, 50 μm. n = 4 per group. h Circulating levels of SASP factors including AREG and IL6 in the serum of MIT/DMY-treated NOD/SCID mice. Data are presented as mean ± SD. P values were calculated using two-tailed unpaired Student’s t tests. ^ P > 0.05; * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: The natural flavonoid dihydromyricetin targets senescent cells via PRDX2 and alleviates age-related diseases

doi: 10.1038/s41467-026-70302-9

Figure Lengend Snippet: a Schematic of a preclinical treatment procedure. Two weeks after subcutaneous inoculation and in vivo uptake of PC3/PSC27 cell recombinants, NOD/SCID mice received either single-agent or combinatorial metronomic treatment in multiple cycles. b Tumor end volume analysis. PC3 cells were inoculated alone or with PSC27 cells for subcutaneous implantation at mouse hind flanks, followed by 0.2 mg/kg mitoxantrone (MIT) and 20 mg/kg DMY treatment (single or combined). Left, comparative statistics. Right, representative tumor images. n = 10 per group? c Transcriptional analysis of typical SASP factors in stromal and cancer cells isolated via laser capture microdissection (LCM). Signals were normalized to the lowest value of placebo group. n = 10 per group. d Transcriptional analysis of two canonical senescence biomarkers p16 Ink4a and p21 Cip1 . n = 10 per group. c , d center line, median; box, interquartile range; whiskers, minimum to maximum. e SA-β-Gal staining in tumor tissue at the end of therapeutic regimens. Left, representative images. Right, comparative statistics. Scale bar, 100 μm. n = 4 per group. f Apoptosis assessment via cleaved caspase 3-based immunohistochemistry staining of tumor tissues at the end of therapeutic regimen. Top, representative images. bottom, comparative statistics. Scale bar, 100 μm. g lmmunohistochemical staining of IL6 in tumor tissues at the end of therapeutic regimen. Left, representative images. Right, comparative statistics. Scale bar, 50 μm. n = 4 per group. h Circulating levels of SASP factors including AREG and IL6 in the serum of MIT/DMY-treated NOD/SCID mice. Data are presented as mean ± SD. P values were calculated using two-tailed unpaired Student’s t tests. ^ P > 0.05; * P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001. Source data are provided as a Source Data file.

Article Snippet: The PCa epithelial cell lines PC3, DU145 and LNCaP were from ATCC (CRL-1435, HTB-81 and CRL-1740, respectively) and routinely cultured in RPMI 1640 medium supplemented with 10% FBS.

Techniques: In Vivo, Isolation, Laser Capture Microdissection, Staining, Immunohistochemistry, Two Tailed Test

Lower AZGP1 expression facilitates the progression and prognosis of PCa. A Boxplot of the differences in AZGP1 expression among PCa samples with T2, T3, and T4 stages in the TCGA-PRAD dataset. B Boxplot of the differences in AZGP1 expression between N0 and N1 PCa samples in the TCGA-PRAD dataset. C Boxplot of the differences in AZGP1 expression among PCa samples with different Gleason scores in the TCGA-PRAD dataset. D Forest plot visualizing the meta-analysis of nine bulk datasets based on the Cox regression analysis of AZGP1 expression. E In vivo imaging of six OE- Azgp1 and six NC mice (left) with tail vein injections of PC3 cells. Comparison of the average immunofluorescence intensity of the metastatic regions (right). F Representative images of immunohistochemical staining for AZGP in metastatic and non-metastatic PCa tissue samples. G Scatter plots comparing the histoscores (H-score) of the immunohistochemical staining between 20 metastatic and 20 non-matastatic PCa tissue samples. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Journal: Cellular & Molecular Biology Letters

Article Title: Methylation-induced silencing of AZGP1 enhances prostate cancer metastasis by stimulating tumoral glycolysis

doi: 10.1186/s11658-025-00818-3

Figure Lengend Snippet: Lower AZGP1 expression facilitates the progression and prognosis of PCa. A Boxplot of the differences in AZGP1 expression among PCa samples with T2, T3, and T4 stages in the TCGA-PRAD dataset. B Boxplot of the differences in AZGP1 expression between N0 and N1 PCa samples in the TCGA-PRAD dataset. C Boxplot of the differences in AZGP1 expression among PCa samples with different Gleason scores in the TCGA-PRAD dataset. D Forest plot visualizing the meta-analysis of nine bulk datasets based on the Cox regression analysis of AZGP1 expression. E In vivo imaging of six OE- Azgp1 and six NC mice (left) with tail vein injections of PC3 cells. Comparison of the average immunofluorescence intensity of the metastatic regions (right). F Representative images of immunohistochemical staining for AZGP in metastatic and non-metastatic PCa tissue samples. G Scatter plots comparing the histoscores (H-score) of the immunohistochemical staining between 20 metastatic and 20 non-matastatic PCa tissue samples. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Article Snippet: The cell lines used in the experiment included the PCa cell lines PC3, DU145, LNCaP, 22RV1, and RM-1, which were obtained from the American Type Culture Collection (ATCC).

Techniques: Expressing, In Vivo Imaging, Comparison, Immunofluorescence, Immunohistochemical staining, Staining

AZGP1 regulates the cell proliferation and migration of PCa cells. A Relative expression of AZGP1 in seven prostate epithelial cell lines in the Cancer Cell Line Encyclopedia (CCLE) database. B Relative expression of AZGP1 in five human prostate epithelial cell lines: 22RV1, LNCaP, PC3, and DU145. C qRT-PCR analyses of AZGP1 mRNA in PC3 cells treated with negative control (NC) or AZGP1 pcDNA. qRT-PCR analyses of AZGP1 mRNA in 22RV1 cells treated with negative control (NC) or AZGP1 siRNA (siRNA1, siRNA2, and siRNA3). D Transwell assays assessed cell migration and invasion in 22RV1 cells upon AZGP1 knockdown. E Transwell assays assessed cell migration and invasion in PC3 cells upon AZGP1 overexpression. F , G Wound healing assays evaluated the migration of 22RV1 and PC3 cells. H Western blot analysis of the protein levels of N-cadherin, E-cadherin, VEGFA, MMP7, and AZGP1 after AZGP1 was overexpressed in PC3 cells and was knocked down in 22RV1 cells. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Journal: Cellular & Molecular Biology Letters

Article Title: Methylation-induced silencing of AZGP1 enhances prostate cancer metastasis by stimulating tumoral glycolysis

doi: 10.1186/s11658-025-00818-3

Figure Lengend Snippet: AZGP1 regulates the cell proliferation and migration of PCa cells. A Relative expression of AZGP1 in seven prostate epithelial cell lines in the Cancer Cell Line Encyclopedia (CCLE) database. B Relative expression of AZGP1 in five human prostate epithelial cell lines: 22RV1, LNCaP, PC3, and DU145. C qRT-PCR analyses of AZGP1 mRNA in PC3 cells treated with negative control (NC) or AZGP1 pcDNA. qRT-PCR analyses of AZGP1 mRNA in 22RV1 cells treated with negative control (NC) or AZGP1 siRNA (siRNA1, siRNA2, and siRNA3). D Transwell assays assessed cell migration and invasion in 22RV1 cells upon AZGP1 knockdown. E Transwell assays assessed cell migration and invasion in PC3 cells upon AZGP1 overexpression. F , G Wound healing assays evaluated the migration of 22RV1 and PC3 cells. H Western blot analysis of the protein levels of N-cadherin, E-cadherin, VEGFA, MMP7, and AZGP1 after AZGP1 was overexpressed in PC3 cells and was knocked down in 22RV1 cells. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Article Snippet: The cell lines used in the experiment included the PCa cell lines PC3, DU145, LNCaP, 22RV1, and RM-1, which were obtained from the American Type Culture Collection (ATCC).

Techniques: Migration, Expressing, Quantitative RT-PCR, Negative Control, Knockdown, Over Expression, Western Blot

Decreased expression of AZGP1 activates the glycolytic pathway. A Bar plots showing the differential enrichment of KEGG metabolism pathways between LM and primary cancer cells derived from scMetabolism analyses in scRNA-seq data. B Correlation plot of AZGP1 expression with the ssGSEA score of the glycolysis pathway. C , D Correlation plots of AZGP1 expression with expression of the glycolytic enzymes LDHA and GP1 . E–G Boxplot of lactic acid production, basal OCR, and ECAR detection in PC3 and OE- AZGP1 PC3 cells. H – J Boxplot of lactic acid production, basal OCR, and ECAR detection in 22RV1 and si-22RV1 cells. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Journal: Cellular & Molecular Biology Letters

Article Title: Methylation-induced silencing of AZGP1 enhances prostate cancer metastasis by stimulating tumoral glycolysis

doi: 10.1186/s11658-025-00818-3

Figure Lengend Snippet: Decreased expression of AZGP1 activates the glycolytic pathway. A Bar plots showing the differential enrichment of KEGG metabolism pathways between LM and primary cancer cells derived from scMetabolism analyses in scRNA-seq data. B Correlation plot of AZGP1 expression with the ssGSEA score of the glycolysis pathway. C , D Correlation plots of AZGP1 expression with expression of the glycolytic enzymes LDHA and GP1 . E–G Boxplot of lactic acid production, basal OCR, and ECAR detection in PC3 and OE- AZGP1 PC3 cells. H – J Boxplot of lactic acid production, basal OCR, and ECAR detection in 22RV1 and si-22RV1 cells. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Article Snippet: The cell lines used in the experiment included the PCa cell lines PC3, DU145, LNCaP, 22RV1, and RM-1, which were obtained from the American Type Culture Collection (ATCC).

Techniques: Expressing, Derivative Assay

Differential promoter region methylation regulates AZGP1 expression in PCa metastasis. A The regulatory model diagram of AZGP1 promoter methylation and gene expression (upper). Correlation of DNA methylation changes at promoter and gene expression levels (left lower). Correlation of DNA methylation changes at promoter and methyltransferases (right lower). B Boxplot of cg26429636 methylation level between N0 and N1 PCa in the TCGA-PRAD database. C Boxplot of cg26429636 methylation levels between M0 and M1 PCa in the TCGA-PRAD database. D–F Scatter plot of correlations between the mRNA level of AZGP1 and methyltransferases, including DNMT1, DNMT3A, and DNMT3B. G–L Scatter plot of correlations between cg26429636 methylation level and methyltransferase expression, including DNMT1, DNMT3A, and DNMT3B. M Methylation-specific PCR (MSP) analysis of the methylation status of AZGP1 shows aberrant methylation in 22RV1, LNCaP, PC3, and DU145 cell lines. “M” and “U” represent MSP results using primer sets for methylated and unmethylated AZGP1 genes, respectively. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Journal: Cellular & Molecular Biology Letters

Article Title: Methylation-induced silencing of AZGP1 enhances prostate cancer metastasis by stimulating tumoral glycolysis

doi: 10.1186/s11658-025-00818-3

Figure Lengend Snippet: Differential promoter region methylation regulates AZGP1 expression in PCa metastasis. A The regulatory model diagram of AZGP1 promoter methylation and gene expression (upper). Correlation of DNA methylation changes at promoter and gene expression levels (left lower). Correlation of DNA methylation changes at promoter and methyltransferases (right lower). B Boxplot of cg26429636 methylation level between N0 and N1 PCa in the TCGA-PRAD database. C Boxplot of cg26429636 methylation levels between M0 and M1 PCa in the TCGA-PRAD database. D–F Scatter plot of correlations between the mRNA level of AZGP1 and methyltransferases, including DNMT1, DNMT3A, and DNMT3B. G–L Scatter plot of correlations between cg26429636 methylation level and methyltransferase expression, including DNMT1, DNMT3A, and DNMT3B. M Methylation-specific PCR (MSP) analysis of the methylation status of AZGP1 shows aberrant methylation in 22RV1, LNCaP, PC3, and DU145 cell lines. “M” and “U” represent MSP results using primer sets for methylated and unmethylated AZGP1 genes, respectively. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001

Article Snippet: The cell lines used in the experiment included the PCa cell lines PC3, DU145, LNCaP, 22RV1, and RM-1, which were obtained from the American Type Culture Collection (ATCC).

Techniques: Methylation, Expressing, Gene Expression, DNA Methylation Assay