rabbit anti human alexa 647 ki67 Search Results


rabbit monoclonal anti ki67  (Abcam)
99
Abcam rabbit monoclonal anti ki67
Effect of TH-302 (T) in combination with gemcitabine (G) and nab-paclitaxel (nP) on tumor cells. PANC-1 tumor bearing animals received T, 50 mg/kg, ip; G, 60 mg/kg ip; and nP 30 mg/kg, iv, at a Q3Dx5 regimen. Tumors were collected 24 hrs after the last treatment. ( A ), representative images of Masson's Trichrome histology staining, TUNEL staining, Caspase-3, γH2AX, and <t>Ki67</t> immunostaining in vehicle (V), T alone, G + nP doublet and G + nP + T triplet groups. Morphometric analysis of ( B ), necrotic fraction in the whole tumor by Masson's Trichrome; ( C ), number of TUNEL-positive apoptotic cells; ( D ), percentage of Caspase-3 positive apoptotic cells; ( E ), number of γH2AX positive DNA damage cells; and ( F ) number of <t>Ki67</t> <t>positive</t> proliferative cells. *, P < 0.05 as compared to Vehicle (V). a , P < 0.05 as compared to G + nP; b , P < 0.05 as compared to T alone.
Rabbit Monoclonal Anti Ki67, supplied by Abcam, 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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rabbit mab ab92742  (Abcam)
94
Abcam rabbit mab ab92742
List of antibodies used in this study.
Rabbit Mab Ab92742, supplied by Abcam, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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rabbit anti ki67 ihc antibody affinity purified  (Bethyl)
93
Bethyl rabbit anti ki67 ihc antibody affinity purified
List of antibodies used in this study.
Rabbit Anti Ki67 Ihc Antibody Affinity Purified, supplied by Bethyl, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ki67  (Bethyl)
93
Bethyl ki67
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
Ki67, supplied by Bethyl, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 93 stars, based on 1 article reviews
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ki67  (Bioss)
94
Bioss ki67
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
Ki67, supplied by Bioss, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rabbit+anti+human+alexa+647+ki67/pm27468874-52-103-106?v=Bioss
Average 94 stars, based on 1 article reviews
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nb500 170  (Novus Biologicals)
95
Novus Biologicals nb500 170
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
Nb500 170, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 95 stars, based on 1 article reviews
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d3b5 irdye 800cw anti mouse  (LI-COR)
99
LI-COR d3b5 irdye 800cw anti mouse
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
D3b5 Irdye 800cw Anti Mouse, supplied by LI-COR, 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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Average 99 stars, based on 1 article reviews
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p pi3k  (Proteintech)
96
Proteintech p pi3k
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
P Pi3k, supplied by Proteintech, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rabbit+anti+human+alexa+647+ki67/ppr0804030-49-7-21?v=Proteintech
Average 96 stars, based on 1 article reviews
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rabbit anti ki67  (Developmental Studies Hybridoma Bank)
95
Developmental Studies Hybridoma Bank rabbit anti ki67
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
Rabbit Anti Ki67, supplied by Developmental Studies Hybridoma Bank, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 95 stars, based on 1 article reviews
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mouse monoclonal ki 67 antibody  (Santa Cruz Biotechnology)
96
Santa Cruz Biotechnology mouse monoclonal ki 67 antibody
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
Mouse Monoclonal Ki 67 Antibody, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ki67  (Novus Biologicals)
95
Novus Biologicals ki67
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
Ki67, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rabbit+anti+human+alexa+647+ki67/pmc02867210-472-25-28?v=Novus+Biologicals
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rabbit anti mouse ki 67  (Santa Cruz Biotechnology)
96
Santa Cruz Biotechnology rabbit anti mouse ki 67
A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, <t>Ki67,</t> CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.
Rabbit Anti Mouse Ki 67, supplied by Santa Cruz Biotechnology, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Effect of TH-302 (T) in combination with gemcitabine (G) and nab-paclitaxel (nP) on tumor cells. PANC-1 tumor bearing animals received T, 50 mg/kg, ip; G, 60 mg/kg ip; and nP 30 mg/kg, iv, at a Q3Dx5 regimen. Tumors were collected 24 hrs after the last treatment. ( A ), representative images of Masson's Trichrome histology staining, TUNEL staining, Caspase-3, γH2AX, and Ki67 immunostaining in vehicle (V), T alone, G + nP doublet and G + nP + T triplet groups. Morphometric analysis of ( B ), necrotic fraction in the whole tumor by Masson's Trichrome; ( C ), number of TUNEL-positive apoptotic cells; ( D ), percentage of Caspase-3 positive apoptotic cells; ( E ), number of γH2AX positive DNA damage cells; and ( F ) number of Ki67 positive proliferative cells. *, P < 0.05 as compared to Vehicle (V). a , P < 0.05 as compared to G + nP; b , P < 0.05 as compared to T alone.

Journal: Cancer Biology & Therapy

Article Title: Efficacy and safety of the hypoxia-activated prodrug TH-302 in combination with gemcitabine and nab-paclitaxel in human tumor xenograft models of pancreatic cancer

doi: 10.1080/15384047.2014.1003005

Figure Lengend Snippet: Effect of TH-302 (T) in combination with gemcitabine (G) and nab-paclitaxel (nP) on tumor cells. PANC-1 tumor bearing animals received T, 50 mg/kg, ip; G, 60 mg/kg ip; and nP 30 mg/kg, iv, at a Q3Dx5 regimen. Tumors were collected 24 hrs after the last treatment. ( A ), representative images of Masson's Trichrome histology staining, TUNEL staining, Caspase-3, γH2AX, and Ki67 immunostaining in vehicle (V), T alone, G + nP doublet and G + nP + T triplet groups. Morphometric analysis of ( B ), necrotic fraction in the whole tumor by Masson's Trichrome; ( C ), number of TUNEL-positive apoptotic cells; ( D ), percentage of Caspase-3 positive apoptotic cells; ( E ), number of γH2AX positive DNA damage cells; and ( F ) number of Ki67 positive proliferative cells. *, P < 0.05 as compared to Vehicle (V). a , P < 0.05 as compared to G + nP; b , P < 0.05 as compared to T alone.

Article Snippet: The primary antibodies included rabbit polyclonal anti-pimonidazole (HP3-1000, Natural Pharmacia International, 1:400), rabbit polyclonal anti-cleaved Caspase-3 (9661, Cell Signaling, 1:300), rabbit monoclonal anti-γH2AX (ab81299, Abcam, 1:3000), rabbit monoclonal anti-Ki67 (ab16667, Abcam, 1:2000), and rabbit monoclonal anti-α-smooth muscle actin (α-SMA, ab781, Abcam, 1:2000).

Techniques: Staining, TUNEL Assay, Immunostaining

List of antibodies used in this study.

Journal: Scientific Reports

Article Title: Genome-wide analysis suggests a differential microRNA signature associated with normal and diabetic human corneal limbus

doi: 10.1038/s41598-017-03449-7

Figure Lengend Snippet: List of antibodies used in this study.

Article Snippet: Ki-67 , Rabbit mAb ab92742 , Abcam , 359 , 1:200.

Techniques:

A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, Ki67, CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.

Journal: NPJ Breast Cancer

Article Title: Targeting GD2 with naxitamab overcomes GD3 synthase-driven immune suppression in triple-negative breast cancer

doi: 10.1038/s41523-025-00843-7

Figure Lengend Snippet: A Analysis of GD3S ( ST8SIA1 ) mRNA expression in METABRIC and TCGA (pan cancer) BC patient datasets shows significant correlation with immune checkpoint inhibitors. In the METABRIC dataset, Pearson’s correlation coefficients indicate significant correlations of GD3S mRNA expression with CTLA-4 ( r = 0.4; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.3; P < 0.001), CD25 ( r = 0.38; P < 0.001), and SIRPα ( r = 0.36; P < 0.001). Similarly, in the TCGA dataset, GD3S mRNA expression was significantly correlated with CTLA-4 ( r = 0.47; P < 0.001), LAG3 ( r = 0.33; P < 0.001), PD1 ( r = 0.38; P < 0.001), CD25 ( r = 0.45; P < 0.001), and SIRPα ( r = 0.56; P < 0.001). B Representative IHC images obtained by sequential multiplex immunofluorescence images (Lunaphore COMET) from FFPE samples of TNBC patients with high or low GD3S expression ( n = 20 total) were used to compare immune infiltration patterns, showing distinct fluorescence intensities for PANK, Ki67, CD163, CD86, CD56, CD8, CD4, FOXP3, and GD3S within tumor tissues. C H-scores for GD3S expression in BC patients categorized into high and low GD3S expression groups ( ****P < 0.0001). Immune cell counts using Visiopharm IHC image analysis software show differences in the expression of CD8, CD4, CD86, and CD56 between the high and low GD3S expression groups ( ****P < 0.0001; **P < 0.01). Scale bar in IHC images represents 55 µm with 20x magnification. Bar graphs display means ± standard deviations.

Article Snippet: We also purchased the following antibodies: pan-Cytokeratin (Proteintech, cat. #26411-1-AP, rabbit host) along with GD3S (Proteintech, cat. #24918-1-AP, rabbit host), CD45 (Fortislife, clone BL-178-1267, cat. #A700-012, rabbit host), Ki67 (Bethyl, clone BLR021E, cat. #A700-021CF, rabbit host), CD3 (Fortislife, clone BL-298-5012, cat. #A700-016F, rabbit host), CD8 (Fortislife, clone c8/144B, cat. #A500-012A, mouse host), CD4 (Bethyl, clone BL-155-1C11, cat. #A700-015, rabbit host), FOXP3 (Bethyl, clone BLR034F, cat. #A700-034, rabbit host), CD68 (Fortislife, cat. #A500-018ACF, mouse host), CD163 (Invitrogen, clone I0D6, cat. #MA5-11458, mouse host), CD86 (CST, clone E2G8P, cat. #76755SF, rabbit host), CD56 (Fortislife, clone BLR152J, cat. #A700-152, rabbit host) and human IgG1 Kappa antibody (hIgG, cat. #0151K-14, SouthernBiotech).

Techniques: Expressing, Multiplex Assay, Immunofluorescence, Fluorescence, Software