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cxcl2 recombinant protein  (MedChemExpress)


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    MedChemExpress cxcl2 recombinant protein
    ScRNA-seq analysis identified macrophage-specific genes associated with immunotherapy response in ESCC. (A) UMAP plot of single cells from patients with ESCC in GSE203115 cohort. (B) Heatmap of marker genes in each single cell subcluster based on the clustering analysis. (C, D) GO and KEGG analyses of differentially expressed genes in macrophages between the responsive and non-responsive groups. (E) Venn diagram of intersected gene in the indicated three signaling pathways. (F) <t>CXCL2</t> expression levels on macrophages in the responding and non-responding groups. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; UMAP, Uniform Manifold Approximation and Projection; scRNA-seq, single-cell RNA sequencing.
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    Images

    1) Product Images from "CXCL2 affects macrophage antitumor function and immunotherapy efficacy in esophageal squamous cell carcinoma through calcium signaling"

    Article Title: CXCL2 affects macrophage antitumor function and immunotherapy efficacy in esophageal squamous cell carcinoma through calcium signaling

    Journal: Frontiers in Immunology

    doi: 10.3389/fimmu.2026.1695387

    ScRNA-seq analysis identified macrophage-specific genes associated with immunotherapy response in ESCC. (A) UMAP plot of single cells from patients with ESCC in GSE203115 cohort. (B) Heatmap of marker genes in each single cell subcluster based on the clustering analysis. (C, D) GO and KEGG analyses of differentially expressed genes in macrophages between the responsive and non-responsive groups. (E) Venn diagram of intersected gene in the indicated three signaling pathways. (F) CXCL2 expression levels on macrophages in the responding and non-responding groups. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; UMAP, Uniform Manifold Approximation and Projection; scRNA-seq, single-cell RNA sequencing.
    Figure Legend Snippet: ScRNA-seq analysis identified macrophage-specific genes associated with immunotherapy response in ESCC. (A) UMAP plot of single cells from patients with ESCC in GSE203115 cohort. (B) Heatmap of marker genes in each single cell subcluster based on the clustering analysis. (C, D) GO and KEGG analyses of differentially expressed genes in macrophages between the responsive and non-responsive groups. (E) Venn diagram of intersected gene in the indicated three signaling pathways. (F) CXCL2 expression levels on macrophages in the responding and non-responding groups. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; UMAP, Uniform Manifold Approximation and Projection; scRNA-seq, single-cell RNA sequencing.

    Techniques Used: Marker, Single Cell, Protein-Protein interactions, Expressing, RNA Sequencing

    High infiltration of CXCL2 + macrophages is positively associated with favorable prognosis in ESCC patients. (A) Representative images of immunofluorescence co-staining of CD68 (red) and CXCL2 (green) in ESCC tissues. Scale bar, 20µm (left) and 5µm (right). (B) Pearson correlation analysis of CXCL2 expression level with the infiltration proportion of M1 or M2 macrophage in ESCC. (C) Kaplan-Meier curve for PFS of patients with low or high CXCL2 expression in TCGA cohort. Log-rank test. (D) Kaplan-Meier curve for OS of patients with low or high CXCL2 + macrophage population in our ESCC patient cohort. Log-rank test. (E) Forest plot illustrating the univariate and multivariate Cox proportional hazards regression models for OS in ESCC patients from our own cohort. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; OS, overall survival; PFS, Progression-free survival; TNM, tumor-node-metastasis; HR, hazard ratio; CI, confidence interval.
    Figure Legend Snippet: High infiltration of CXCL2 + macrophages is positively associated with favorable prognosis in ESCC patients. (A) Representative images of immunofluorescence co-staining of CD68 (red) and CXCL2 (green) in ESCC tissues. Scale bar, 20µm (left) and 5µm (right). (B) Pearson correlation analysis of CXCL2 expression level with the infiltration proportion of M1 or M2 macrophage in ESCC. (C) Kaplan-Meier curve for PFS of patients with low or high CXCL2 expression in TCGA cohort. Log-rank test. (D) Kaplan-Meier curve for OS of patients with low or high CXCL2 + macrophage population in our ESCC patient cohort. Log-rank test. (E) Forest plot illustrating the univariate and multivariate Cox proportional hazards regression models for OS in ESCC patients from our own cohort. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; OS, overall survival; PFS, Progression-free survival; TNM, tumor-node-metastasis; HR, hazard ratio; CI, confidence interval.

    Techniques Used: Immunofluorescence, Staining, Expressing

    CXCL2 regulated the transition of macrophages to an immune-activated state by mediating cytoplasmic calcium influx. (A) Volcano plot of DEGs between DMSO and CXCL2 treatment groups. (B, C) GO and KEGG analysis of DEGs between DMSO and CXCL2 treatment groups. (D) Flow cytometric analysis of fluo‐3AM positive BMDMs following DMSO and CXCL2 treatment groups. (E) qPCR detecting the indicated genes expression levels on BMDMs in DMSO and CXCL2 treatment groups. (F) Flow cytometry analysis of MHC-II expression on BMDMs in DMSO and CXCL2 treatment groups. (G) qPCR detecting the indicated genes expression levels on BMDMs in the indicated groups. (H) Flow cytometry analysis of MHC-II expression on BMDMs in the indicated groups. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; Student’s t-test or one-way ANOVA test. CXCL2, CXC chemokine ligand 2; DMSO, dimethyl sulfoxide; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; MFI, median fluorescence intensity; ANOVA, analysis of variance; BMDMs, bone marrow-derived macrophages; DEG, differentially expressed gene; MHC, major histocompatibility complex; mRNA, messenger RNA; qPCR, quantitative PCR.
    Figure Legend Snippet: CXCL2 regulated the transition of macrophages to an immune-activated state by mediating cytoplasmic calcium influx. (A) Volcano plot of DEGs between DMSO and CXCL2 treatment groups. (B, C) GO and KEGG analysis of DEGs between DMSO and CXCL2 treatment groups. (D) Flow cytometric analysis of fluo‐3AM positive BMDMs following DMSO and CXCL2 treatment groups. (E) qPCR detecting the indicated genes expression levels on BMDMs in DMSO and CXCL2 treatment groups. (F) Flow cytometry analysis of MHC-II expression on BMDMs in DMSO and CXCL2 treatment groups. (G) qPCR detecting the indicated genes expression levels on BMDMs in the indicated groups. (H) Flow cytometry analysis of MHC-II expression on BMDMs in the indicated groups. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; Student’s t-test or one-way ANOVA test. CXCL2, CXC chemokine ligand 2; DMSO, dimethyl sulfoxide; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; MFI, median fluorescence intensity; ANOVA, analysis of variance; BMDMs, bone marrow-derived macrophages; DEG, differentially expressed gene; MHC, major histocompatibility complex; mRNA, messenger RNA; qPCR, quantitative PCR.

    Techniques Used: Expressing, Flow Cytometry, Fluorescence, Derivative Assay, Immunopeptidomics, Real-time Polymerase Chain Reaction

    CXCL2 inhibits tumor growth in the mouse ESCC subcutaneous tumor model. (A) Gross appearance of subcutaneous ESCC tumors in each treatment group. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. CXC chemokine ligand 2; ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; MHC, major histocompatibility complex.
    Figure Legend Snippet: CXCL2 inhibits tumor growth in the mouse ESCC subcutaneous tumor model. (A) Gross appearance of subcutaneous ESCC tumors in each treatment group. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. CXC chemokine ligand 2; ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; MHC, major histocompatibility complex.

    Techniques Used: Flow Cytometry, Immunopeptidomics

    CXCL2 enhances the efficacy of anti-PD-1 antibody in ESCC in vivo . (A) Schematic of the schedule of anti-PD-1 antibody and CXCL2 treatment in AKR cell-derived subcutaneous ESCC mouse models. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. (G) Schematic diagram illustrating the role of CXCL2 in macrophage and the microenvironment immune landscapes of ESCC. Patients with ESCC with immunotherapy responsive typically exhibit a significant infiltration of CXCL2 + macrophages, which facilitate the polarization of macrophages to an immune-activated state through calcium influx, thereby enhancing the cytotoxic function of CD8 + T cells. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; CXC chemokine ligand 2; MHC, major histocompatibility complex; IgG, immunoglobulin G; PD-1, programmed cell death protein-1.
    Figure Legend Snippet: CXCL2 enhances the efficacy of anti-PD-1 antibody in ESCC in vivo . (A) Schematic of the schedule of anti-PD-1 antibody and CXCL2 treatment in AKR cell-derived subcutaneous ESCC mouse models. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. (G) Schematic diagram illustrating the role of CXCL2 in macrophage and the microenvironment immune landscapes of ESCC. Patients with ESCC with immunotherapy responsive typically exhibit a significant infiltration of CXCL2 + macrophages, which facilitate the polarization of macrophages to an immune-activated state through calcium influx, thereby enhancing the cytotoxic function of CD8 + T cells. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; CXC chemokine ligand 2; MHC, major histocompatibility complex; IgG, immunoglobulin G; PD-1, programmed cell death protein-1.

    Techniques Used: In Vivo, Derivative Assay, Flow Cytometry, Immunopeptidomics



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    ScRNA-seq analysis identified macrophage-specific genes associated with immunotherapy response in ESCC. (A) UMAP plot of single cells from patients with ESCC in GSE203115 cohort. (B) Heatmap of marker genes in each single cell subcluster based on the clustering analysis. (C, D) GO and KEGG analyses of differentially expressed genes in macrophages between the responsive and non-responsive groups. (E) Venn diagram of intersected gene in the indicated three signaling pathways. (F) <t>CXCL2</t> expression levels on macrophages in the responding and non-responding groups. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; UMAP, Uniform Manifold Approximation and Projection; scRNA-seq, single-cell RNA sequencing.
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    Image Search Results


    ScRNA-seq analysis identified macrophage-specific genes associated with immunotherapy response in ESCC. (A) UMAP plot of single cells from patients with ESCC in GSE203115 cohort. (B) Heatmap of marker genes in each single cell subcluster based on the clustering analysis. (C, D) GO and KEGG analyses of differentially expressed genes in macrophages between the responsive and non-responsive groups. (E) Venn diagram of intersected gene in the indicated three signaling pathways. (F) CXCL2 expression levels on macrophages in the responding and non-responding groups. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; UMAP, Uniform Manifold Approximation and Projection; scRNA-seq, single-cell RNA sequencing.

    Journal: Frontiers in Immunology

    Article Title: CXCL2 affects macrophage antitumor function and immunotherapy efficacy in esophageal squamous cell carcinoma through calcium signaling

    doi: 10.3389/fimmu.2026.1695387

    Figure Lengend Snippet: ScRNA-seq analysis identified macrophage-specific genes associated with immunotherapy response in ESCC. (A) UMAP plot of single cells from patients with ESCC in GSE203115 cohort. (B) Heatmap of marker genes in each single cell subcluster based on the clustering analysis. (C, D) GO and KEGG analyses of differentially expressed genes in macrophages between the responsive and non-responsive groups. (E) Venn diagram of intersected gene in the indicated three signaling pathways. (F) CXCL2 expression levels on macrophages in the responding and non-responding groups. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; UMAP, Uniform Manifold Approximation and Projection; scRNA-seq, single-cell RNA sequencing.

    Article Snippet: Once tumors became palpable (approximately 5–7 days post-injection), the mice were randomly divided into groups (5 mice per group) and treated as follows: intraperitoneal injection of 100 μg CXCL2 recombinant protein (Cat. HY-P7258; MCE) once every two days, 150 μg anti-PD-1 antibody (Cat. BP0273; BioX Cell) once every three days , or the combination of both.

    Techniques: Marker, Single Cell, Protein-Protein interactions, Expressing, RNA Sequencing

    High infiltration of CXCL2 + macrophages is positively associated with favorable prognosis in ESCC patients. (A) Representative images of immunofluorescence co-staining of CD68 (red) and CXCL2 (green) in ESCC tissues. Scale bar, 20µm (left) and 5µm (right). (B) Pearson correlation analysis of CXCL2 expression level with the infiltration proportion of M1 or M2 macrophage in ESCC. (C) Kaplan-Meier curve for PFS of patients with low or high CXCL2 expression in TCGA cohort. Log-rank test. (D) Kaplan-Meier curve for OS of patients with low or high CXCL2 + macrophage population in our ESCC patient cohort. Log-rank test. (E) Forest plot illustrating the univariate and multivariate Cox proportional hazards regression models for OS in ESCC patients from our own cohort. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; OS, overall survival; PFS, Progression-free survival; TNM, tumor-node-metastasis; HR, hazard ratio; CI, confidence interval.

    Journal: Frontiers in Immunology

    Article Title: CXCL2 affects macrophage antitumor function and immunotherapy efficacy in esophageal squamous cell carcinoma through calcium signaling

    doi: 10.3389/fimmu.2026.1695387

    Figure Lengend Snippet: High infiltration of CXCL2 + macrophages is positively associated with favorable prognosis in ESCC patients. (A) Representative images of immunofluorescence co-staining of CD68 (red) and CXCL2 (green) in ESCC tissues. Scale bar, 20µm (left) and 5µm (right). (B) Pearson correlation analysis of CXCL2 expression level with the infiltration proportion of M1 or M2 macrophage in ESCC. (C) Kaplan-Meier curve for PFS of patients with low or high CXCL2 expression in TCGA cohort. Log-rank test. (D) Kaplan-Meier curve for OS of patients with low or high CXCL2 + macrophage population in our ESCC patient cohort. Log-rank test. (E) Forest plot illustrating the univariate and multivariate Cox proportional hazards regression models for OS in ESCC patients from our own cohort. ESCC, esophageal squamous cell carcinoma; CXCL2, CXC chemokine ligand 2; OS, overall survival; PFS, Progression-free survival; TNM, tumor-node-metastasis; HR, hazard ratio; CI, confidence interval.

    Article Snippet: Once tumors became palpable (approximately 5–7 days post-injection), the mice were randomly divided into groups (5 mice per group) and treated as follows: intraperitoneal injection of 100 μg CXCL2 recombinant protein (Cat. HY-P7258; MCE) once every two days, 150 μg anti-PD-1 antibody (Cat. BP0273; BioX Cell) once every three days , or the combination of both.

    Techniques: Immunofluorescence, Staining, Expressing

    CXCL2 regulated the transition of macrophages to an immune-activated state by mediating cytoplasmic calcium influx. (A) Volcano plot of DEGs between DMSO and CXCL2 treatment groups. (B, C) GO and KEGG analysis of DEGs between DMSO and CXCL2 treatment groups. (D) Flow cytometric analysis of fluo‐3AM positive BMDMs following DMSO and CXCL2 treatment groups. (E) qPCR detecting the indicated genes expression levels on BMDMs in DMSO and CXCL2 treatment groups. (F) Flow cytometry analysis of MHC-II expression on BMDMs in DMSO and CXCL2 treatment groups. (G) qPCR detecting the indicated genes expression levels on BMDMs in the indicated groups. (H) Flow cytometry analysis of MHC-II expression on BMDMs in the indicated groups. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; Student’s t-test or one-way ANOVA test. CXCL2, CXC chemokine ligand 2; DMSO, dimethyl sulfoxide; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; MFI, median fluorescence intensity; ANOVA, analysis of variance; BMDMs, bone marrow-derived macrophages; DEG, differentially expressed gene; MHC, major histocompatibility complex; mRNA, messenger RNA; qPCR, quantitative PCR.

    Journal: Frontiers in Immunology

    Article Title: CXCL2 affects macrophage antitumor function and immunotherapy efficacy in esophageal squamous cell carcinoma through calcium signaling

    doi: 10.3389/fimmu.2026.1695387

    Figure Lengend Snippet: CXCL2 regulated the transition of macrophages to an immune-activated state by mediating cytoplasmic calcium influx. (A) Volcano plot of DEGs between DMSO and CXCL2 treatment groups. (B, C) GO and KEGG analysis of DEGs between DMSO and CXCL2 treatment groups. (D) Flow cytometric analysis of fluo‐3AM positive BMDMs following DMSO and CXCL2 treatment groups. (E) qPCR detecting the indicated genes expression levels on BMDMs in DMSO and CXCL2 treatment groups. (F) Flow cytometry analysis of MHC-II expression on BMDMs in DMSO and CXCL2 treatment groups. (G) qPCR detecting the indicated genes expression levels on BMDMs in the indicated groups. (H) Flow cytometry analysis of MHC-II expression on BMDMs in the indicated groups. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; Student’s t-test or one-way ANOVA test. CXCL2, CXC chemokine ligand 2; DMSO, dimethyl sulfoxide; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; MFI, median fluorescence intensity; ANOVA, analysis of variance; BMDMs, bone marrow-derived macrophages; DEG, differentially expressed gene; MHC, major histocompatibility complex; mRNA, messenger RNA; qPCR, quantitative PCR.

    Article Snippet: Once tumors became palpable (approximately 5–7 days post-injection), the mice were randomly divided into groups (5 mice per group) and treated as follows: intraperitoneal injection of 100 μg CXCL2 recombinant protein (Cat. HY-P7258; MCE) once every two days, 150 μg anti-PD-1 antibody (Cat. BP0273; BioX Cell) once every three days , or the combination of both.

    Techniques: Expressing, Flow Cytometry, Fluorescence, Derivative Assay, Immunopeptidomics, Real-time Polymerase Chain Reaction

    CXCL2 inhibits tumor growth in the mouse ESCC subcutaneous tumor model. (A) Gross appearance of subcutaneous ESCC tumors in each treatment group. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. CXC chemokine ligand 2; ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; MHC, major histocompatibility complex.

    Journal: Frontiers in Immunology

    Article Title: CXCL2 affects macrophage antitumor function and immunotherapy efficacy in esophageal squamous cell carcinoma through calcium signaling

    doi: 10.3389/fimmu.2026.1695387

    Figure Lengend Snippet: CXCL2 inhibits tumor growth in the mouse ESCC subcutaneous tumor model. (A) Gross appearance of subcutaneous ESCC tumors in each treatment group. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. CXC chemokine ligand 2; ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; MHC, major histocompatibility complex.

    Article Snippet: Once tumors became palpable (approximately 5–7 days post-injection), the mice were randomly divided into groups (5 mice per group) and treated as follows: intraperitoneal injection of 100 μg CXCL2 recombinant protein (Cat. HY-P7258; MCE) once every two days, 150 μg anti-PD-1 antibody (Cat. BP0273; BioX Cell) once every three days , or the combination of both.

    Techniques: Flow Cytometry, Immunopeptidomics

    CXCL2 enhances the efficacy of anti-PD-1 antibody in ESCC in vivo . (A) Schematic of the schedule of anti-PD-1 antibody and CXCL2 treatment in AKR cell-derived subcutaneous ESCC mouse models. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. (G) Schematic diagram illustrating the role of CXCL2 in macrophage and the microenvironment immune landscapes of ESCC. Patients with ESCC with immunotherapy responsive typically exhibit a significant infiltration of CXCL2 + macrophages, which facilitate the polarization of macrophages to an immune-activated state through calcium influx, thereby enhancing the cytotoxic function of CD8 + T cells. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; CXC chemokine ligand 2; MHC, major histocompatibility complex; IgG, immunoglobulin G; PD-1, programmed cell death protein-1.

    Journal: Frontiers in Immunology

    Article Title: CXCL2 affects macrophage antitumor function and immunotherapy efficacy in esophageal squamous cell carcinoma through calcium signaling

    doi: 10.3389/fimmu.2026.1695387

    Figure Lengend Snippet: CXCL2 enhances the efficacy of anti-PD-1 antibody in ESCC in vivo . (A) Schematic of the schedule of anti-PD-1 antibody and CXCL2 treatment in AKR cell-derived subcutaneous ESCC mouse models. (B) Changes in subcutaneous tumor volumes in each group during the experiment. (C, D) Tumor volumes and weights in each group at the end of the experiment. (E, F) Flow cytometry analysis depicting the proportion of CD11b + F4/80 + MHCII + macrophages and CD3 + CD8 + T cells in each group. (G) Schematic diagram illustrating the role of CXCL2 in macrophage and the microenvironment immune landscapes of ESCC. Patients with ESCC with immunotherapy responsive typically exhibit a significant infiltration of CXCL2 + macrophages, which facilitate the polarization of macrophages to an immune-activated state through calcium influx, thereby enhancing the cytotoxic function of CD8 + T cells. * P < 0.05, ** P < 0.01, *** P < 0.001, and NS, not significant; one-way ANOVA test. ANOVA, analysis of variance; ESCC, esophageal squamous cell carcinoma; CXC chemokine ligand 2; MHC, major histocompatibility complex; IgG, immunoglobulin G; PD-1, programmed cell death protein-1.

    Article Snippet: Once tumors became palpable (approximately 5–7 days post-injection), the mice were randomly divided into groups (5 mice per group) and treated as follows: intraperitoneal injection of 100 μg CXCL2 recombinant protein (Cat. HY-P7258; MCE) once every two days, 150 μg anti-PD-1 antibody (Cat. BP0273; BioX Cell) once every three days , or the combination of both.

    Techniques: In Vivo, Derivative Assay, Flow Cytometry, Immunopeptidomics

    a Overlap of GeneCards and EDCODE public databases analyses to predict transcription factors that regulate TREM2. b Western blot analysis of the indicated proteins in BMDMs and Raw264.7 cells incubated with FGF2 (left) and with CM from Py8119 cells treated with PTX (right). The experiment was independently repeated three times with similar results. c Western blot analysis of the indicated proteins in Raw264.7 cells incubated with the indicated treatment. The experiment was independently repeated three times with similar results. d qPCR analysis of Trem2 expression in BMDMs transfected with Egr1 -expressing vectors. n = 3 biological independent samples. e Western blot analysis of TREM2 expression in BMDMs transfected with Egr1 -expressing vectors. The experiment was independently repeated three times with similar results. f Luciferase activity of HEK293T cells transfected with the indicated reporters and EGR1 -expressing or control vectors. n = 3 biological independent samples. g Abundance of EGR1 bound to the TREM2 promoter in BMDMs assessed by ChIP-qPCR. n = 3 biological independent samples. h Schematic of the Transwell assay. The first CM was collected from tumor cells with indicated treatment, and the second CM was collected from macrophages incubated with the first CM. The migration and invasion capabilities of macrophages incubated with the first CM were assessed. Created in BioRender. Xing, Y. (2026) https://BioRender.com/nsp747p i Quantification of migration and invasion of Py8119 cells induced by BMDM CM incubated with CM from Py8119 cells treated with PTX, and BT549, SUM159, and MDA-MB-231 cells induced by THP1 CM incubated with CM from BT549, SUM159, and MDA-MB-231 cells treated with PTX (left) or Nab-PTX (right), respectively. n = 5 biological independent samples. j Cytokine array analysis of CM from BMDMs with or without TREM2. k Quantification of migration and invasion of Py8119 cells incubated with indicated proteins. n = 3 biological independent samples. l Quantification of migration and invasion of Py8119 cells induced by CM from BMDMs ( Trem2 +/+ ) with CDE-096. n = 3 biological independent samples. m Western blot analysis of EMT- stimulating proteins in BMDMs incubated with indicated proteins. The experiment was independently repeated three times with similar results. n Schematic illustration showing that FGF2 promotes ERK1/2 phosphorylation to upregulate EGR1, which increases TREM2 expression in macrophages. Upregulated TREM2 enhances the secretion of Serpin E1, HGF, CCL3, and CXCL2 from macrophages to tumor cells, facilitating tumor metastasis via EMT. Created in BioRender. Xing, Y. (2026) https://BioRender.com/nsp747p . Data are shown as means ± S.D. and were analyzed by two-sided unpaired Student’s t test ( d, f, i and l ), two-sided one-way ANOVA followed by Tukey’s test ( k ) and two-sided two-way ANOVA followed by Šídák’s test ( g ). Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Paclitaxel drives TREM2 + macrophage expansion underlying its inferior therapeutic efficacy compared to Nab-paclitaxel

    doi: 10.1038/s41467-026-69060-5

    Figure Lengend Snippet: a Overlap of GeneCards and EDCODE public databases analyses to predict transcription factors that regulate TREM2. b Western blot analysis of the indicated proteins in BMDMs and Raw264.7 cells incubated with FGF2 (left) and with CM from Py8119 cells treated with PTX (right). The experiment was independently repeated three times with similar results. c Western blot analysis of the indicated proteins in Raw264.7 cells incubated with the indicated treatment. The experiment was independently repeated three times with similar results. d qPCR analysis of Trem2 expression in BMDMs transfected with Egr1 -expressing vectors. n = 3 biological independent samples. e Western blot analysis of TREM2 expression in BMDMs transfected with Egr1 -expressing vectors. The experiment was independently repeated three times with similar results. f Luciferase activity of HEK293T cells transfected with the indicated reporters and EGR1 -expressing or control vectors. n = 3 biological independent samples. g Abundance of EGR1 bound to the TREM2 promoter in BMDMs assessed by ChIP-qPCR. n = 3 biological independent samples. h Schematic of the Transwell assay. The first CM was collected from tumor cells with indicated treatment, and the second CM was collected from macrophages incubated with the first CM. The migration and invasion capabilities of macrophages incubated with the first CM were assessed. Created in BioRender. Xing, Y. (2026) https://BioRender.com/nsp747p i Quantification of migration and invasion of Py8119 cells induced by BMDM CM incubated with CM from Py8119 cells treated with PTX, and BT549, SUM159, and MDA-MB-231 cells induced by THP1 CM incubated with CM from BT549, SUM159, and MDA-MB-231 cells treated with PTX (left) or Nab-PTX (right), respectively. n = 5 biological independent samples. j Cytokine array analysis of CM from BMDMs with or without TREM2. k Quantification of migration and invasion of Py8119 cells incubated with indicated proteins. n = 3 biological independent samples. l Quantification of migration and invasion of Py8119 cells induced by CM from BMDMs ( Trem2 +/+ ) with CDE-096. n = 3 biological independent samples. m Western blot analysis of EMT- stimulating proteins in BMDMs incubated with indicated proteins. The experiment was independently repeated three times with similar results. n Schematic illustration showing that FGF2 promotes ERK1/2 phosphorylation to upregulate EGR1, which increases TREM2 expression in macrophages. Upregulated TREM2 enhances the secretion of Serpin E1, HGF, CCL3, and CXCL2 from macrophages to tumor cells, facilitating tumor metastasis via EMT. Created in BioRender. Xing, Y. (2026) https://BioRender.com/nsp747p . Data are shown as means ± S.D. and were analyzed by two-sided unpaired Student’s t test ( d, f, i and l ), two-sided one-way ANOVA followed by Tukey’s test ( k ) and two-sided two-way ANOVA followed by Šídák’s test ( g ). Source data are provided as a Source Data file.

    Article Snippet: The Serpin E1 protein (HY- P71133 ), HGF protein (HY- P71133 ), CCL3 protein (HY-P7768AF) and CXCL2 protein (HY-P7258) were purchased from MedChemExpress and used at a concentration of 10 ng/mL.

    Techniques: Western Blot, Incubation, Expressing, Transfection, Luciferase, Activity Assay, Control, ChIP-qPCR, Transwell Assay, Migration, Phospho-proteomics

    High CXCL1 and CXCL2 expression is associated with poor prognosis in patients across multiple cancers. (A) Impact of CXCL1 and CXCL2 expression on RFS in 2,178 patients across 30 cancer types. Log-rank P values were calculated to assess significance. The dashed line indicates P = 0.05. (B) Significance of 9 widely used ICB response biomarkers collected from TIDE in relation to OS across 7 datasets from indicated studies. Red cells: Rho > 0, indicating increased risk. Rho values in the bottom panel represent the average for each biomarker across the 7 datasets (Table ). CXCL1 & CXCL2 , average expression level of CXCL1 and CXCL2 ; MSI, microsatellite instability signature; TIDE, Tumor Immune Dysfunction and Exclusion signature; Merck18, T cell-inflamed signature; TMB, tumor mutation burden. (C) KM plots of OS for patients with breast cancer, grouped by high or low expression of CXCL1 (top) and CXCL2 (bottom). P values were calculated using the log-rank test. Data were derived from RNA-seq and obtained from the KM plotter and TIDE [ , , ]. (D) KM plots of post-progression survival (PPS) for 607 breast cancer patients, grouped by high or low expression of CXCL1 (top) and CXCL2 (bottom). P values were calculated using the log-rank test. Best cutoffs were autocalculated and selected by the KM plotter tool . (E) Genomic alterations of CXCL1 and CXCL2 among all TCGA patients across 30 cancer types. The pie chart shows the percentage of patients with breast cancer and other cancer types. (F) Distribution of the frequency of genomic alterations of CXCL1 and CXCL2 in TCGA cancer patients across 30 cancer types. (G and H) KM plots showing the impact of CXCL1 and CXCL2 genomic alterations on RFS in TCGA patients. Patients were grouped by the presence or absence of CXCL1 and CXCL2 genomic alterations across all TCGA cancer types (G; pan-cancer) or all breast cancer types (H; pan-BRCA). P values were determined using the log-rank test.

    Journal: Research

    Article Title: Gene Signature-Based Drug Screening Reveals Ponatinib Enhances Immunotherapy Efficacy in Triple-Negative Breast Cancer by Reversing MDSC-Mediated Immunosuppressive Tumor Microenvironment

    doi: 10.34133/research.0915

    Figure Lengend Snippet: High CXCL1 and CXCL2 expression is associated with poor prognosis in patients across multiple cancers. (A) Impact of CXCL1 and CXCL2 expression on RFS in 2,178 patients across 30 cancer types. Log-rank P values were calculated to assess significance. The dashed line indicates P = 0.05. (B) Significance of 9 widely used ICB response biomarkers collected from TIDE in relation to OS across 7 datasets from indicated studies. Red cells: Rho > 0, indicating increased risk. Rho values in the bottom panel represent the average for each biomarker across the 7 datasets (Table ). CXCL1 & CXCL2 , average expression level of CXCL1 and CXCL2 ; MSI, microsatellite instability signature; TIDE, Tumor Immune Dysfunction and Exclusion signature; Merck18, T cell-inflamed signature; TMB, tumor mutation burden. (C) KM plots of OS for patients with breast cancer, grouped by high or low expression of CXCL1 (top) and CXCL2 (bottom). P values were calculated using the log-rank test. Data were derived from RNA-seq and obtained from the KM plotter and TIDE [ , , ]. (D) KM plots of post-progression survival (PPS) for 607 breast cancer patients, grouped by high or low expression of CXCL1 (top) and CXCL2 (bottom). P values were calculated using the log-rank test. Best cutoffs were autocalculated and selected by the KM plotter tool . (E) Genomic alterations of CXCL1 and CXCL2 among all TCGA patients across 30 cancer types. The pie chart shows the percentage of patients with breast cancer and other cancer types. (F) Distribution of the frequency of genomic alterations of CXCL1 and CXCL2 in TCGA cancer patients across 30 cancer types. (G and H) KM plots showing the impact of CXCL1 and CXCL2 genomic alterations on RFS in TCGA patients. Patients were grouped by the presence or absence of CXCL1 and CXCL2 genomic alterations across all TCGA cancer types (G; pan-cancer) or all breast cancer types (H; pan-BRCA). P values were determined using the log-rank test.

    Article Snippet: The amount of CXCL1 or CXCL2 protein in the supernatant was measured using a mouse CXCL1- or CXCL2-specific ELISA kit (R&D Systems), according to the manufacturer’s instructions.

    Techniques: Expressing, Biomarker Discovery, Mutagenesis, Derivative Assay, RNA Sequencing

    HTS 2 screening identified ponatinib as an antagonist of CXCL1 and CXCL2 expression in diverse cancer cells. (A) Workflow of the drug screening for CXCL1 and CXCL2 using the HTS 2 platform. The compounds were ranked based on their ability to down-regulate the expression of CXCL1 and CXCL2 . The significance of the difference between individual compounds and DMSO was calculated using Student’s t test. −Log 10 ( P value) and log 2 (fold change) were used for compound ranking. Compounds below the dashed line represent the top 10 compounds that effectively decreased the expression of CXCL1 and CXCL2 . (B) Chemical structure of ponatinib (AP24534). (C and D) RT-qPCR analysis of MDA-MB-231 (C) and 4T1 (D) breast cancer cells treated with the indicated concentrations of ponatinib for 24 h. (E) RT-qPCR analysis of MC38 colon cancer cells treated with the indicated concentrations of ponatinib for 24 h. For (C) to (E), values were normalized to the vehicle (DMSO) control group values. Data are presented as means ± SD. (F and G) ELISA analysis of CXCL1 and CXCL2 protein levels in supernatant from 4T1 cells treated with the indicated concentrations of ponatinib (F) or with 1 μM ponatinib at the indicated time points (G). Data are presented as means ± SD. Statistical significance was determined by 2-way ANOVA. *** *P < 0.0001. (H and I) Growth of 4T1 tumors in BALB/c WT mice ( n = 6 mice per group) (H) or MC38 tumors in C57BL/6 WT mice ( n = 10 mice per group) (I) treated with ponatinib or vehicle. Statistical significance was determined by 2-way ANOVA. *** *P < 0.0001. Data are presented as means ± SEM of the indicated number of mice.

    Journal: Research

    Article Title: Gene Signature-Based Drug Screening Reveals Ponatinib Enhances Immunotherapy Efficacy in Triple-Negative Breast Cancer by Reversing MDSC-Mediated Immunosuppressive Tumor Microenvironment

    doi: 10.34133/research.0915

    Figure Lengend Snippet: HTS 2 screening identified ponatinib as an antagonist of CXCL1 and CXCL2 expression in diverse cancer cells. (A) Workflow of the drug screening for CXCL1 and CXCL2 using the HTS 2 platform. The compounds were ranked based on their ability to down-regulate the expression of CXCL1 and CXCL2 . The significance of the difference between individual compounds and DMSO was calculated using Student’s t test. −Log 10 ( P value) and log 2 (fold change) were used for compound ranking. Compounds below the dashed line represent the top 10 compounds that effectively decreased the expression of CXCL1 and CXCL2 . (B) Chemical structure of ponatinib (AP24534). (C and D) RT-qPCR analysis of MDA-MB-231 (C) and 4T1 (D) breast cancer cells treated with the indicated concentrations of ponatinib for 24 h. (E) RT-qPCR analysis of MC38 colon cancer cells treated with the indicated concentrations of ponatinib for 24 h. For (C) to (E), values were normalized to the vehicle (DMSO) control group values. Data are presented as means ± SD. (F and G) ELISA analysis of CXCL1 and CXCL2 protein levels in supernatant from 4T1 cells treated with the indicated concentrations of ponatinib (F) or with 1 μM ponatinib at the indicated time points (G). Data are presented as means ± SD. Statistical significance was determined by 2-way ANOVA. *** *P < 0.0001. (H and I) Growth of 4T1 tumors in BALB/c WT mice ( n = 6 mice per group) (H) or MC38 tumors in C57BL/6 WT mice ( n = 10 mice per group) (I) treated with ponatinib or vehicle. Statistical significance was determined by 2-way ANOVA. *** *P < 0.0001. Data are presented as means ± SEM of the indicated number of mice.

    Article Snippet: The amount of CXCL1 or CXCL2 protein in the supernatant was measured using a mouse CXCL1- or CXCL2-specific ELISA kit (R&D Systems), according to the manufacturer’s instructions.

    Techniques: Expressing, Drug discovery, Quantitative RT-PCR, Control, Enzyme-linked Immunosorbent Assay

    Ponatinib inhibits CXCL1 and CXCL2 expression through the p38α–STAT1 signaling pathway. (A) GO analysis of DEGs between ponatinib-treated versus DMSO-treated MDA-MB-231 (left) and 4T1 (right) cells. DEGs were defined as genes with log 2 (fold change) < −1 and P < 0.05, based on RNA-seq data. P values were determined employing the Fisher’s exact test. (B) Enrichment analysis of the MAPK signaling pathway in MDA-MB-231 (left) and 4T1 (right) cells treated with ponatinib versus DMSO. Data were derived from RNA-seq analysis. NES, normalized enrichment score; P , nominal P value; FDR, false discovery rate. P values were determined using the Kolmogorov–Smirnov (KS) test. (C) Immunoblotting of the indicated proteins in MDA-MB-231 cells treated with 1 μM ponatinib or DMSO. (D) Box plots showing the expression levels of CXCL1 and CXCL2 in cancer cells from breast cancer patients, comparing groups with low expression of MAPK14 to groups with high expression (normalized counts > 0). Data from publicly available scRNA-seq data from 29 breast cancer patients . P values were determined using the Mann–Whitney test. (E) Heatmap of genes involved in the JAK–STAT signaling pathway (top) and STAT1 target genes (bottom) down-regulated by ponatinib in MDA-MB-231 and 4T1 cell lines. (F) Box plots showing the expression levels of CXCL1 or CXCL2 in cancer cells from breast cancer patients, comparing groups with low versus high expression of STAT1 (normalized counts > 0). P values were determined using the Mann–Whitney test. (G) Correlation of CXCL1 or CXCL2 expression with STAT1 expression in TCGA breast cancer patients. Each dot represents an individual patient. Rhos were calculated using TIMER version 2 . P values were determined using the Spearman correlation test. (H) Immunoblotting of the indicated proteins in lysates from MDA-MB-231 cells (left) or 4T1 cells (right) treated with 1 μM ponatinib or vehicle (DMSO). (I) Correlation of the expression levels of MAPK14 (encoding p38α) with STAT1 expression in tumor cells. Each dot represents a breast cancer patient, with the average expression level of all cancer cells from that patient used as the expression level for that individual . P values were determined using the Pearson’s correlation test. (J) Immunoblotting of the indicated proteins in MDA-MB-231 (left) or 4T1 (right) cells with p38α knockdown compared to negative control. (K) Three-dimensional interaction diagram of ponatinib docked in p38α MAPK kinase domain (active site) generated by Schrödinger Maestro, highlighting key binding interactions. (L) In vitro activity of p38α exposed to the indicated concentrations of ponatinib. Data were fitted using a nonlinear regression model (GraphPad Prism) to determine the IC 50 values.

    Journal: Research

    Article Title: Gene Signature-Based Drug Screening Reveals Ponatinib Enhances Immunotherapy Efficacy in Triple-Negative Breast Cancer by Reversing MDSC-Mediated Immunosuppressive Tumor Microenvironment

    doi: 10.34133/research.0915

    Figure Lengend Snippet: Ponatinib inhibits CXCL1 and CXCL2 expression through the p38α–STAT1 signaling pathway. (A) GO analysis of DEGs between ponatinib-treated versus DMSO-treated MDA-MB-231 (left) and 4T1 (right) cells. DEGs were defined as genes with log 2 (fold change) < −1 and P < 0.05, based on RNA-seq data. P values were determined employing the Fisher’s exact test. (B) Enrichment analysis of the MAPK signaling pathway in MDA-MB-231 (left) and 4T1 (right) cells treated with ponatinib versus DMSO. Data were derived from RNA-seq analysis. NES, normalized enrichment score; P , nominal P value; FDR, false discovery rate. P values were determined using the Kolmogorov–Smirnov (KS) test. (C) Immunoblotting of the indicated proteins in MDA-MB-231 cells treated with 1 μM ponatinib or DMSO. (D) Box plots showing the expression levels of CXCL1 and CXCL2 in cancer cells from breast cancer patients, comparing groups with low expression of MAPK14 to groups with high expression (normalized counts > 0). Data from publicly available scRNA-seq data from 29 breast cancer patients . P values were determined using the Mann–Whitney test. (E) Heatmap of genes involved in the JAK–STAT signaling pathway (top) and STAT1 target genes (bottom) down-regulated by ponatinib in MDA-MB-231 and 4T1 cell lines. (F) Box plots showing the expression levels of CXCL1 or CXCL2 in cancer cells from breast cancer patients, comparing groups with low versus high expression of STAT1 (normalized counts > 0). P values were determined using the Mann–Whitney test. (G) Correlation of CXCL1 or CXCL2 expression with STAT1 expression in TCGA breast cancer patients. Each dot represents an individual patient. Rhos were calculated using TIMER version 2 . P values were determined using the Spearman correlation test. (H) Immunoblotting of the indicated proteins in lysates from MDA-MB-231 cells (left) or 4T1 cells (right) treated with 1 μM ponatinib or vehicle (DMSO). (I) Correlation of the expression levels of MAPK14 (encoding p38α) with STAT1 expression in tumor cells. Each dot represents a breast cancer patient, with the average expression level of all cancer cells from that patient used as the expression level for that individual . P values were determined using the Pearson’s correlation test. (J) Immunoblotting of the indicated proteins in MDA-MB-231 (left) or 4T1 (right) cells with p38α knockdown compared to negative control. (K) Three-dimensional interaction diagram of ponatinib docked in p38α MAPK kinase domain (active site) generated by Schrödinger Maestro, highlighting key binding interactions. (L) In vitro activity of p38α exposed to the indicated concentrations of ponatinib. Data were fitted using a nonlinear regression model (GraphPad Prism) to determine the IC 50 values.

    Article Snippet: The amount of CXCL1 or CXCL2 protein in the supernatant was measured using a mouse CXCL1- or CXCL2-specific ELISA kit (R&D Systems), according to the manufacturer’s instructions.

    Techniques: Expressing, RNA Sequencing, Derivative Assay, Western Blot, MANN-WHITNEY, Knockdown, Negative Control, Generated, Binding Assay, In Vitro, Activity Assay

    Ponatinib inhibits the infiltration of immunosuppressive MDSCs into TNBC TME by repressing CXCL1 and CXCL2 expression. (A) Growth of 4T1 tumors in BALB/c nude mice treated with ponatinib or vehicle (control, n = 5; ponatinib, n = 8). Tumor volume kinetics were monitored by vernier calipers (left). Statistical significance was determined by 2-way ANOVA. Terminal tumor weight quantification is shown (middle), with statistical significance determined by unpaired 2-tailed Student’s t tests. *** *P < 0.0001. The tumor image (right) shows 4T1 tumors from the indicated groups. (B) Growth of 4T1 tumors in NSG mice treated with ponatinib or vehicle ( n = 6 mice per group). Tumor volume kinetics monitored by vernier calipers (left). Statistical significance was determined by 2-way ANOVA. Terminal tumor weight quantification is shown (middle), with statistical significance determined by unpaired 2-tailed Student’s t tests. ns (not significant), P > 0.05. The tumor image (right) shows 4T1 tumors from the indicated groups. (C) RT-qPCR analysis of Cxcl1 and Cxcl2 mRNA levels in 4T1 tumors from BALB/c WT mice (left) or nude mice (right) receiving ponatinib or control treatments as described in Figs. H and A. Heatmap representing the relative expression of the indicated chemokine genes normalized to Gapdh . Expression scaled from high (red) to low (blue). Each square represents individual tumors from a single mouse (gray squares indicate tumors from mice sacrificed due to the requirement of animal ethics). (D) MDSC identification using publicly available scRNA-seq data from breast cancer patients. Cells were colored by cell types defined in a breast cancer scRNA-seq dataset (left) and by MDSC types predicted using the scPred package (right). MDSCs were identified in a dataset of 29 breast cancer patients receiving ICB therapy (EGAD00001006608) by training on another well-defined breast cancer MDSC dataset ( GSE139125 ) . (E) Percentage of different cell types in the breast cancer TME, grouped by high or low expression of CXCL1 and CXCL2 in scRNA-seq data from breast cancer patients . P values were determined using the chi-square test. (F) Percentage of MDSCs (relative to all myeloid cells) in breast cancer patients with high or low expression of CXCL1 and CXCL2 , calculated using the breast cancer scRNA-seq dataset . (G) Migration of MDSCs toward CM from 4T1 cells treated with ponatinib or DMSO, evaluated using in vitro Transwell migration assays. (H) Migration of MDSCs toward CM from 4T1 cells treated with either DMSO or ponatinib and supplemented with or without recombinant mouse CXCL1 and CXCL2. (I) Transwell migration assays for MDSC migration toward CM from MC38 cells treated with either ponatinib or DMSO. Data are presented as means ± SEM. Statistical significance was assessed using unpaired 2-tailed Student’s t tests. * *P < 0.01, ** *P < 0.001, and *** *P < 0.0001.

    Journal: Research

    Article Title: Gene Signature-Based Drug Screening Reveals Ponatinib Enhances Immunotherapy Efficacy in Triple-Negative Breast Cancer by Reversing MDSC-Mediated Immunosuppressive Tumor Microenvironment

    doi: 10.34133/research.0915

    Figure Lengend Snippet: Ponatinib inhibits the infiltration of immunosuppressive MDSCs into TNBC TME by repressing CXCL1 and CXCL2 expression. (A) Growth of 4T1 tumors in BALB/c nude mice treated with ponatinib or vehicle (control, n = 5; ponatinib, n = 8). Tumor volume kinetics were monitored by vernier calipers (left). Statistical significance was determined by 2-way ANOVA. Terminal tumor weight quantification is shown (middle), with statistical significance determined by unpaired 2-tailed Student’s t tests. *** *P < 0.0001. The tumor image (right) shows 4T1 tumors from the indicated groups. (B) Growth of 4T1 tumors in NSG mice treated with ponatinib or vehicle ( n = 6 mice per group). Tumor volume kinetics monitored by vernier calipers (left). Statistical significance was determined by 2-way ANOVA. Terminal tumor weight quantification is shown (middle), with statistical significance determined by unpaired 2-tailed Student’s t tests. ns (not significant), P > 0.05. The tumor image (right) shows 4T1 tumors from the indicated groups. (C) RT-qPCR analysis of Cxcl1 and Cxcl2 mRNA levels in 4T1 tumors from BALB/c WT mice (left) or nude mice (right) receiving ponatinib or control treatments as described in Figs. H and A. Heatmap representing the relative expression of the indicated chemokine genes normalized to Gapdh . Expression scaled from high (red) to low (blue). Each square represents individual tumors from a single mouse (gray squares indicate tumors from mice sacrificed due to the requirement of animal ethics). (D) MDSC identification using publicly available scRNA-seq data from breast cancer patients. Cells were colored by cell types defined in a breast cancer scRNA-seq dataset (left) and by MDSC types predicted using the scPred package (right). MDSCs were identified in a dataset of 29 breast cancer patients receiving ICB therapy (EGAD00001006608) by training on another well-defined breast cancer MDSC dataset ( GSE139125 ) . (E) Percentage of different cell types in the breast cancer TME, grouped by high or low expression of CXCL1 and CXCL2 in scRNA-seq data from breast cancer patients . P values were determined using the chi-square test. (F) Percentage of MDSCs (relative to all myeloid cells) in breast cancer patients with high or low expression of CXCL1 and CXCL2 , calculated using the breast cancer scRNA-seq dataset . (G) Migration of MDSCs toward CM from 4T1 cells treated with ponatinib or DMSO, evaluated using in vitro Transwell migration assays. (H) Migration of MDSCs toward CM from 4T1 cells treated with either DMSO or ponatinib and supplemented with or without recombinant mouse CXCL1 and CXCL2. (I) Transwell migration assays for MDSC migration toward CM from MC38 cells treated with either ponatinib or DMSO. Data are presented as means ± SEM. Statistical significance was assessed using unpaired 2-tailed Student’s t tests. * *P < 0.01, ** *P < 0.001, and *** *P < 0.0001.

    Article Snippet: The amount of CXCL1 or CXCL2 protein in the supernatant was measured using a mouse CXCL1- or CXCL2-specific ELISA kit (R&D Systems), according to the manufacturer’s instructions.

    Techniques: Expressing, Control, Quantitative RT-PCR, Migration, In Vitro, Recombinant

    Combination treatment with ponatinib enhances the therapeutic efficacy of anti-PD-L1 against TNBC. (A) Expression levels of CXCL1 or CXCL2 and therapeutic responses assessed from publicly available scRNA-seq data for 29 breast cancer patients who received ICB therapy . Cells were colored based on ICB response results (top) and gene expression levels of CXCL1 and CXCL2 (bottom). Es, patients with clonotype expansion ( n = 9); NEs, patients with limited or no clonotype expansion ( n = 20). (B) Receiver operating characteristic (ROC) curves depicting the predictive value of CXCL1 and CXCL2 expression levels for anti-PD-1 therapy response in breast cancer patients. (C) CXCL1 and CXCL2 expression in tumor cells, comparing Es with NEs, calculated using the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (D) Expression of known MDSC-related genes [ , , , , ] in MDSCs determined in this study, comparing Es with NEs. MDSCs were identified in the breast cancer scRNA-seq dataset (EGAD00001006608) , through learning from another breast cancer scRNA-seq dataset with MDSC well-defined ( GSE139125 ) , using the cell type prediction method of scPred package . P values were determined using the Mann–Whitney test. (E) Expression of known MDSC-related genes [ , , , , ] in MDSCs, comparing pretreatment with on-treatment conditions. Pre, biopsy collected before anti-PD-1 treatment; On, biopsy collected during subsequent surgery. P values were determined using the Mann–Whitney test. (F) Expression of known MDSC-related genes in the breast TME, comparing Es with NEs from the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (G) Expression of known MDSC-related genes in tumor cells, comparing Es with NEs, calculated using the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (H) Expression of known MDSC-related genes in MDSCs, comparing across 3 different breast cancer types. P values were determined using the Mann–Whitney test. (I) Expression of known MDSC-related genes in the TME, comparing across 3 different breast cancer types, was calculated using the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (J) Schematic diagram of the combination treatment protocol for 4T1-bearing mice; ponatinib (30 mg/kg) or vehicle was administered 4 days per week, and PD-L1 monoclonal antibody (200 μg per injection, twice a week), either alone or in combination, starting when the tumor volume reached 100 mm 3 ( n = 12 to 14 mice per group). (K and L) Growth of 4T1 tumors in BALB/c WT mice treated with the indicated conditions from (J). Tumor volume kinetics were monitored by vernier calipers. Data represent mean ± SEM of n mice. Two-way ANOVA determined statistical significance. * *P < 0.01, ** *P < 0.001, and *** *P < 0.0001. (M) Survival curves for the indicated groups. Statistical significance was determined using the log-rank (Mantel–Cox) test. ns, P > 0.05, * *P < 0.01, and ** *P < 0.001.

    Journal: Research

    Article Title: Gene Signature-Based Drug Screening Reveals Ponatinib Enhances Immunotherapy Efficacy in Triple-Negative Breast Cancer by Reversing MDSC-Mediated Immunosuppressive Tumor Microenvironment

    doi: 10.34133/research.0915

    Figure Lengend Snippet: Combination treatment with ponatinib enhances the therapeutic efficacy of anti-PD-L1 against TNBC. (A) Expression levels of CXCL1 or CXCL2 and therapeutic responses assessed from publicly available scRNA-seq data for 29 breast cancer patients who received ICB therapy . Cells were colored based on ICB response results (top) and gene expression levels of CXCL1 and CXCL2 (bottom). Es, patients with clonotype expansion ( n = 9); NEs, patients with limited or no clonotype expansion ( n = 20). (B) Receiver operating characteristic (ROC) curves depicting the predictive value of CXCL1 and CXCL2 expression levels for anti-PD-1 therapy response in breast cancer patients. (C) CXCL1 and CXCL2 expression in tumor cells, comparing Es with NEs, calculated using the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (D) Expression of known MDSC-related genes [ , , , , ] in MDSCs determined in this study, comparing Es with NEs. MDSCs were identified in the breast cancer scRNA-seq dataset (EGAD00001006608) , through learning from another breast cancer scRNA-seq dataset with MDSC well-defined ( GSE139125 ) , using the cell type prediction method of scPred package . P values were determined using the Mann–Whitney test. (E) Expression of known MDSC-related genes [ , , , , ] in MDSCs, comparing pretreatment with on-treatment conditions. Pre, biopsy collected before anti-PD-1 treatment; On, biopsy collected during subsequent surgery. P values were determined using the Mann–Whitney test. (F) Expression of known MDSC-related genes in the breast TME, comparing Es with NEs from the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (G) Expression of known MDSC-related genes in tumor cells, comparing Es with NEs, calculated using the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (H) Expression of known MDSC-related genes in MDSCs, comparing across 3 different breast cancer types. P values were determined using the Mann–Whitney test. (I) Expression of known MDSC-related genes in the TME, comparing across 3 different breast cancer types, was calculated using the breast cancer scRNA-seq dataset . P values were determined using the Mann–Whitney test. (J) Schematic diagram of the combination treatment protocol for 4T1-bearing mice; ponatinib (30 mg/kg) or vehicle was administered 4 days per week, and PD-L1 monoclonal antibody (200 μg per injection, twice a week), either alone or in combination, starting when the tumor volume reached 100 mm 3 ( n = 12 to 14 mice per group). (K and L) Growth of 4T1 tumors in BALB/c WT mice treated with the indicated conditions from (J). Tumor volume kinetics were monitored by vernier calipers. Data represent mean ± SEM of n mice. Two-way ANOVA determined statistical significance. * *P < 0.01, ** *P < 0.001, and *** *P < 0.0001. (M) Survival curves for the indicated groups. Statistical significance was determined using the log-rank (Mantel–Cox) test. ns, P > 0.05, * *P < 0.01, and ** *P < 0.001.

    Article Snippet: The amount of CXCL1 or CXCL2 protein in the supernatant was measured using a mouse CXCL1- or CXCL2-specific ELISA kit (R&D Systems), according to the manufacturer’s instructions.

    Techniques: Drug discovery, Expressing, Gene Expression, MANN-WHITNEY, Injection