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rabbit monoclonal antibody against cd2  (ABclonal Biotechnology)


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    ABclonal Biotechnology rabbit monoclonal antibody against cd2
    Figure 3. Identification and validation of <t>CD2</t> an NK cell-related prognostic biomarker for HCC patients. (a) Selection of the λ parameter in LASSO-Cox regression. Vertical lines indicate partial likelihood deviance for each λ value, with the minimum deviance at an optimal λ of 0.05. (b) Process of deriving the four candidate genes with non-zero coefficients at the optimal λ value. The vertical axis shows the regression coefficients, and the horizontal axis shows the log(λ) values. (c) Forest plot of multivariable Cox regression analysis, confirming CD2 as an independent prognostic factor among the four selected genes. Kaplan–Meier analysis of the TCGA-LIHC cohort. High CD2 expression is significantly associated with longer (d) OS and (e) PFS. (f) Kaplan–Meier analysis of the GSE76427 cohort, showing that high CD2 expression is significantly associated with longer OS. Kaplan–Meier analysis of the GSE14520 cohort. High CD2 expression is significantly associated with longer (g) OS and (h) RFS. (i) Kaplan–Meier analysis of the TCIA-TCGA-LIHC cohort, showing that high CD2 expression is significantly associated with longer OS. (j) Ridgeline plot illustrating GSEA results, highlighting significant positive correlations between CD2 expression and KEGG processes. (k) GSEA indicated that high CD2 expression was enriched in NK cell-mediated cytotoxicity signaling. HCC, Hepatocellular carcinoma; KEGC, Kyoto Encyclopedia of Genes and Genomes; LASSO, Least absolute shrinkage and selection operator; NK, Natural killer; RFS, Recurrence-free survival; TCGA-LHIC, The Cancer Genome Atlas-Liver Hepatocellular Carcinoma.
    Rabbit Monoclonal Antibody Against Cd2, supplied by ABclonal Biotechnology, used in various techniques. Bioz Stars score: 92/100, based on 2 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/primary+rabbit+monoclonal+antibody+against+cd2/CD2+Rabbit+pAb/pm39542805-81-11-16
    Average 92 stars, based on 2 article reviews
    rabbit monoclonal antibody against cd2 - by Bioz Stars, 2026-10
    92/100 stars

    Images

    1) Product Images from "Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures."

    Article Title: Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures.

    Journal: Academic radiology

    doi: 10.1016/j.acra.2024.10.043

    Figure 3. Identification and validation of CD2 an NK cell-related prognostic biomarker for HCC patients. (a) Selection of the λ parameter in LASSO-Cox regression. Vertical lines indicate partial likelihood deviance for each λ value, with the minimum deviance at an optimal λ of 0.05. (b) Process of deriving the four candidate genes with non-zero coefficients at the optimal λ value. The vertical axis shows the regression coefficients, and the horizontal axis shows the log(λ) values. (c) Forest plot of multivariable Cox regression analysis, confirming CD2 as an independent prognostic factor among the four selected genes. Kaplan–Meier analysis of the TCGA-LIHC cohort. High CD2 expression is significantly associated with longer (d) OS and (e) PFS. (f) Kaplan–Meier analysis of the GSE76427 cohort, showing that high CD2 expression is significantly associated with longer OS. Kaplan–Meier analysis of the GSE14520 cohort. High CD2 expression is significantly associated with longer (g) OS and (h) RFS. (i) Kaplan–Meier analysis of the TCIA-TCGA-LIHC cohort, showing that high CD2 expression is significantly associated with longer OS. (j) Ridgeline plot illustrating GSEA results, highlighting significant positive correlations between CD2 expression and KEGG processes. (k) GSEA indicated that high CD2 expression was enriched in NK cell-mediated cytotoxicity signaling. HCC, Hepatocellular carcinoma; KEGC, Kyoto Encyclopedia of Genes and Genomes; LASSO, Least absolute shrinkage and selection operator; NK, Natural killer; RFS, Recurrence-free survival; TCGA-LHIC, The Cancer Genome Atlas-Liver Hepatocellular Carcinoma.
    Figure Legend Snippet: Figure 3. Identification and validation of CD2 an NK cell-related prognostic biomarker for HCC patients. (a) Selection of the λ parameter in LASSO-Cox regression. Vertical lines indicate partial likelihood deviance for each λ value, with the minimum deviance at an optimal λ of 0.05. (b) Process of deriving the four candidate genes with non-zero coefficients at the optimal λ value. The vertical axis shows the regression coefficients, and the horizontal axis shows the log(λ) values. (c) Forest plot of multivariable Cox regression analysis, confirming CD2 as an independent prognostic factor among the four selected genes. Kaplan–Meier analysis of the TCGA-LIHC cohort. High CD2 expression is significantly associated with longer (d) OS and (e) PFS. (f) Kaplan–Meier analysis of the GSE76427 cohort, showing that high CD2 expression is significantly associated with longer OS. Kaplan–Meier analysis of the GSE14520 cohort. High CD2 expression is significantly associated with longer (g) OS and (h) RFS. (i) Kaplan–Meier analysis of the TCIA-TCGA-LIHC cohort, showing that high CD2 expression is significantly associated with longer OS. (j) Ridgeline plot illustrating GSEA results, highlighting significant positive correlations between CD2 expression and KEGG processes. (k) GSEA indicated that high CD2 expression was enriched in NK cell-mediated cytotoxicity signaling. HCC, Hepatocellular carcinoma; KEGC, Kyoto Encyclopedia of Genes and Genomes; LASSO, Least absolute shrinkage and selection operator; NK, Natural killer; RFS, Recurrence-free survival; TCGA-LHIC, The Cancer Genome Atlas-Liver Hepatocellular Carcinoma.

    Techniques Used: Biomarker Discovery, Selection, Expressing

    Figure 4. Radiomics model construction and validation. (a) Representative enhanced CT arterial phase image of a patient with HCC, with the white arrow indicating the location of the tumor. (b) ROI outlining, with the green area showing the ROI, and the 3D image of the ROI displayed in the upper-right corner. (c) Selection of the λ parameter for the LASSO-Cox model. The vertical lines indicate partial likelihood deviance for each λ value, with the optimal λ at 0.12. (d) Use of the optimal value of λ to select three features. (e, g, i) Kaplan–Meier analysis of OS based on radioscore stratification in the TCIA-TCGA-LIHC, TCIA-TACE-seg, and Tongji cohorts. (f, h, j) Distribution of radioscores, survival time, survival status, and heatmaps of selected radiomics features for each cohort. (k) Representative immunohistochemistry images for CD2 expression in samples from the Tongji cohort. (l) Differences in radioscores among HCC patients with different TNM or BCLC stages across the three cohorts. HCC, Hepatocellular carcinoma; LASSO, Least absolute shrinkage and selection operator; OS, Overall survival; TCIA-TCGA-LIHC, The Cancer Imaging Archive-The Cancer Genome Atlas-Liver Hepatocellular Carcinoma; TACE, Transarterial chemoembolization .
    Figure Legend Snippet: Figure 4. Radiomics model construction and validation. (a) Representative enhanced CT arterial phase image of a patient with HCC, with the white arrow indicating the location of the tumor. (b) ROI outlining, with the green area showing the ROI, and the 3D image of the ROI displayed in the upper-right corner. (c) Selection of the λ parameter for the LASSO-Cox model. The vertical lines indicate partial likelihood deviance for each λ value, with the optimal λ at 0.12. (d) Use of the optimal value of λ to select three features. (e, g, i) Kaplan–Meier analysis of OS based on radioscore stratification in the TCIA-TCGA-LIHC, TCIA-TACE-seg, and Tongji cohorts. (f, h, j) Distribution of radioscores, survival time, survival status, and heatmaps of selected radiomics features for each cohort. (k) Representative immunohistochemistry images for CD2 expression in samples from the Tongji cohort. (l) Differences in radioscores among HCC patients with different TNM or BCLC stages across the three cohorts. HCC, Hepatocellular carcinoma; LASSO, Least absolute shrinkage and selection operator; OS, Overall survival; TCIA-TCGA-LIHC, The Cancer Imaging Archive-The Cancer Genome Atlas-Liver Hepatocellular Carcinoma; TACE, Transarterial chemoembolization .

    Techniques Used: Biomarker Discovery, Selection, Immunohistochemistry, Expressing, Imaging

    Figure 5. Overview of the comparison of the four HCC radiogenomics subtypes defined by CD2 expression and radioscore. (a) Sankey diagram of samples distribution in four radiogenomics subtypes based on CD2 expression and radioscore. (b) Kaplan–Meier analysis of OS in the four radiogenomics subgroups of patients with HCC patients. p values for comparisons between each pair of groups are shown in the upper left corner. (c) KEGG enrichment analysis of the overlapping genes from the differential gene expression analysis of the high CD2 plus low radioscore subgroup and the other three subgroups. (d) Heatmap of GSVA results for NK cell-related pathways and biological processes for each radiogenomics subgroup. (e) Mutation waterfall plot of the top 20 genes with the highest mutation frequency in the patients of the four subgroups. GSVA, Gene Set Variation Analysis; KEGC, Kyoto Encyclopedia of Genes and Genomes; NK, Natural killer.
    Figure Legend Snippet: Figure 5. Overview of the comparison of the four HCC radiogenomics subtypes defined by CD2 expression and radioscore. (a) Sankey diagram of samples distribution in four radiogenomics subtypes based on CD2 expression and radioscore. (b) Kaplan–Meier analysis of OS in the four radiogenomics subgroups of patients with HCC patients. p values for comparisons between each pair of groups are shown in the upper left corner. (c) KEGG enrichment analysis of the overlapping genes from the differential gene expression analysis of the high CD2 plus low radioscore subgroup and the other three subgroups. (d) Heatmap of GSVA results for NK cell-related pathways and biological processes for each radiogenomics subgroup. (e) Mutation waterfall plot of the top 20 genes with the highest mutation frequency in the patients of the four subgroups. GSVA, Gene Set Variation Analysis; KEGC, Kyoto Encyclopedia of Genes and Genomes; NK, Natural killer.

    Techniques Used: Comparison, Expressing, Gene Expression, Mutagenesis

    Related Articles

    Incubation:

    Article Title: Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures.
    Article Snippet: .. Sections were then incubated overnight at 4 °C with a primary rabbit monoclonal antibody against CD2 (ABclonal, China, A23199, 1:200 dilution). ..



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