Review



p ddr1  (Cell Signaling Technology Inc)


Bioz Verified Symbol Cell Signaling Technology Inc is a verified supplier
Bioz Manufacturer Symbol Cell Signaling Technology Inc manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 86

    Structured Review

    Cell Signaling Technology Inc p ddr1
    P Ddr1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+ddr1/pm41935307-71-22-23
    Average 86 stars, based on 1 article reviews
    p ddr1 - by Bioz Stars, 2026-10
    86/100 stars

    Images

    Related Articles

    other:

    Article Title: Targeting IGF1R Overcomes Armored and Cold Tumor Microenvironment and Boosts Immune Checkpoint Blockade in Triple-Negative Breast Cancer.
    Article Snippet: The primary antibodies used as follows: anti-IGF1R (1:1000 dilution, Cat. No. 9750, Cell signaling, Boston, USA), anti-GAPDH (1:1000 dilution, Cat. No. 10494-1- AP, Proteintech, Wuhan, China), anti-SOX4 (1:1000 dilution, Cat. No. ab316850, Abcam, Cambridge, England), anti-COL1A1 (1:1000 dilution, Cat. No. A22090, ABclonal, Wuhan, China), and anti-DDR1 (1:1000 dilution, Cat. No. 5583T, CST).

    Article Title: Targeting IGF1R Overcomes Armored and Cold Tumor Microenvironment and Boosts Immune Checkpoint Blockade in Triple‐Negative Breast Cancer
    Article Snippet: The primary antibodies used as follows: anti‐IGF1R (1:1000 dilution, Cat. No. 9750, Cell signaling, Boston, USA), anti‐GAPDH (1:1000 dilution, Cat. No. 10494‐1‐AP, Proteintech, Wuhan, China), anti‐SOX4 (1:1000 dilution, Cat. No. ab316850, Abcam, Cambridge, England), anti‐COL1A1 (1:1000 dilution, Cat. No. A22090, ABclonal, Wuhan, China), and anti‐DDR1 (1:1000 dilution, Cat. No. 5583T, CST).

    Article Title: Collagen alpha-5(IV) chain activation by nuclear factor 1/C promotes nasopharyngeal carcinoma progression
    Article Snippet: The expression of collagen receptors by cancer cells serves a vital function in the regulation of cell behavior.. These receptors are capable of sensing the signals generated by alterations in the collagen state, thereby contributing to the maintenance of cellular homeostasis.. The discoidin domain receptor (DDR)1 functions as a critical sensor of collagen fiber state and composition, regulating tumor cell growth, response to therapy, and patient survival.

    Article Title: Targeting IGF1R Overcomes Armored and Cold Tumor Microenvironment and Boosts Immune Checkpoint Blockade in Triple-Negative Breast Cancer.
    Article Snippet: Primary antibodies used in mIHC and IF included: anti-IGF1R (1:1000 dilution, Cat. No. 9750T, CST), anti-CD8 (1:1000 dilution, Cat. No. 85336, CST), anti-CD86 (1:1000 dilution, Cat. No. 91882, CST), anti-CD163 (1:500 dilution, ab182422, Abcam), anti-Ki67 (1:1000 dilution, Cat. No. ab16667, Abcam), anti-α-SMA (1:2000 dilution, Cat. No. 19245, CST), anti-DDR1 (1:1000 dilution, Cat. No. 5583T, CST) and anti-SOX4 (1:1000 dilution, Cat. No. ab316850, Abcam).

    Article Title: Cancer cells transfer invasive properties through microRNAs contained in collagen tracks.
    Article Snippet: Anti-DDR1 (5583S), anti-CD9 (13174) and anti-clathrin light chain (4796S) were purchased from Cell Signaling.

    Article Title: Discovery of VU6015929: A selective discoidin domain receptor 1/2 (DDR1/2) inhibitor to explore the role of DDR1 in anti-fibrotic therapy
    Article Snippet: The following antibodies were used: anti-DDR1 (Cell Signaling, clone D1G6) anti-human DDR1 (R&D AF2396); pY792-DDR1 (Cell Signaling #11994), anti-Flag M2 (Sigma), Eu-conjugated anti- His (Thermo Fisher Scientific), anti-collagen IV (gift from Dr. Dorin Borza, Meharry University), and Akt (Cell Signaling) antibodies.

    Article Title: Targeting IGF1R Overcomes Armored and Cold Tumor Microenvironment and Boosts Immune Checkpoint Blockade in Triple‐Negative Breast Cancer
    Article Snippet: The following antibodies were used: anti‐IGF1R (Cat. No. 9750, Cell signaling, Boston, USA), anti‐GAPDH (Cat. No. 10494‐1‐AP, Proteintech, Wuhan, China), anti‐SOX4 (Cat. No. ab316850, Abcam, Cambridge, England), anti‐COL1A1 (Cat. No. A22090, ABclonal, Wuhan, China), anti‐DDR1 (Cat No. 5583T, CST, Boston, USA) PE anti‐CD279 (Cat.No.379210, BioLegend, California, USA), FITC anti‐GZMB (Cat. No. 372206, BioLegend, California, USA), PE anti‐CD11b (Cat.No.

    Blocking Assay:

    Article Title: Degradation of membrane and extracellular DDR1 by a peptide-based LYTAC to overcome immune exclusion for cancer immunotherapy
    Article Snippet: Proteins were extracted and resolved on 10% SDS-PAGE gels and transferred to PVDF membranes (Millipore). .. After blocking with 5% non-fat milk for 1 h at room temperature, membranes were probed with the following primary antibodies: anti-DDR1 (#3917, Cell Signaling Technology), anti-DDR1 N-termminal (#AP7660a, Abcepta), anti-β-tubulin (#2146, Cell Signaling Technology), and anti-β-actin (#T0022, Affinity). .. HRP-conjugated secondary antibodies Goat anti rabbit IgG-HRP (#D110058, BBI), Goat anti mouse IgG-HRP (#D110087, BBI) and enhanced chemiluminescence (ECL) substrate (GBCBIO) were used for detection.



    Similar Products

    86
    Cell Signaling Technology Inc p ddr1
    P Ddr1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+ddr1/pm41935307-71-22-23
    Average 86 stars, based on 1 article reviews
    p ddr1 - by Bioz Stars, 2026-10
    86/100 stars
      Buy from Supplier

    93
    R&D Systems p ddr1 2
    MAPK inhibitor-resistant melanoma cells exhibit <t>enhanced</t> <t>DDR1/2</t> signaling. ( A ) Clonogenic assay showing the validation of drug-resistant cell lines. ( B ) Quantification of clonogenic assay shown in Fig. 1A. Data are presented as relative colony formation (%) normalized to the control group and expressed as the mean ± SEM, n = 3 replicates. Statistical significance was determined by two-way ANOVA. * p < 0.05, # p < 0.001, † p < 0.001, ‡ p < 0.0001. ( C ) Cell viability assay of RAF and MEK inhibitors in parental cells and drug-resistant cells for 48 h. Data are presented as the mean ± SEM, n = 3 replicates. ( D ) Western blot analysis of pERK and pAKT signaling responses in parental and resistant melanoma cells following 48-h treatment with vehicle or the corresponding resistance-selecting drug(s) at 1 µM. ( E ) Bubble plot representing Gene Set Enrichment Analysis (GSEA) using hallmark gene set comparing parental and resistant melanoma cells. Pathway enrichment was calculated using GSEA, with color indicating NES (blue = downregulated, red = upregulated) and bubble size representing −log10(p-value). ( F ) SK-MEL-2 and SK-MEL-2BR cells were stimulated with type I collagen (40 µg/ml) for 18 h to activate DDR signaling
    P Ddr1 2, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+ddr1/Human+Phospho-DDR1%2FDDR2+(DDR1+Y796%2C+DDR2+Y740)+Antibody/pmc13063777-64-28-29
    Average 93 stars, based on 1 article reviews
    p ddr1 2 - by Bioz Stars, 2026-10
    93/100 stars
      Buy from Supplier

    93
    Cell Signaling Technology Inc anti ddr1
    MAPK inhibitor-resistant melanoma cells exhibit <t>enhanced</t> <t>DDR1/2</t> signaling. ( A ) Clonogenic assay showing the validation of drug-resistant cell lines. ( B ) Quantification of clonogenic assay shown in Fig. 1A. Data are presented as relative colony formation (%) normalized to the control group and expressed as the mean ± SEM, n = 3 replicates. Statistical significance was determined by two-way ANOVA. * p < 0.05, # p < 0.001, † p < 0.001, ‡ p < 0.0001. ( C ) Cell viability assay of RAF and MEK inhibitors in parental cells and drug-resistant cells for 48 h. Data are presented as the mean ± SEM, n = 3 replicates. ( D ) Western blot analysis of pERK and pAKT signaling responses in parental and resistant melanoma cells following 48-h treatment with vehicle or the corresponding resistance-selecting drug(s) at 1 µM. ( E ) Bubble plot representing Gene Set Enrichment Analysis (GSEA) using hallmark gene set comparing parental and resistant melanoma cells. Pathway enrichment was calculated using GSEA, with color indicating NES (blue = downregulated, red = upregulated) and bubble size representing −log10(p-value). ( F ) SK-MEL-2 and SK-MEL-2BR cells were stimulated with type I collagen (40 µg/ml) for 18 h to activate DDR signaling
    Anti Ddr1, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+ddr1/DDR1+Antibody/10__1016_slash_j__apsb__2026__03__041-89-20-22
    Average 93 stars, based on 1 article reviews
    anti ddr1 - by Bioz Stars, 2026-10
    93/100 stars
      Buy from Supplier

    94
    Cell Signaling Technology Inc anti ddr1 primary antibody
    MAPK inhibitor-resistant melanoma cells exhibit <t>enhanced</t> <t>DDR1/2</t> signaling. ( A ) Clonogenic assay showing the validation of drug-resistant cell lines. ( B ) Quantification of clonogenic assay shown in Fig. 1A. Data are presented as relative colony formation (%) normalized to the control group and expressed as the mean ± SEM, n = 3 replicates. Statistical significance was determined by two-way ANOVA. * p < 0.05, # p < 0.001, † p < 0.001, ‡ p < 0.0001. ( C ) Cell viability assay of RAF and MEK inhibitors in parental cells and drug-resistant cells for 48 h. Data are presented as the mean ± SEM, n = 3 replicates. ( D ) Western blot analysis of pERK and pAKT signaling responses in parental and resistant melanoma cells following 48-h treatment with vehicle or the corresponding resistance-selecting drug(s) at 1 µM. ( E ) Bubble plot representing Gene Set Enrichment Analysis (GSEA) using hallmark gene set comparing parental and resistant melanoma cells. Pathway enrichment was calculated using GSEA, with color indicating NES (blue = downregulated, red = upregulated) and bubble size representing −log10(p-value). ( F ) SK-MEL-2 and SK-MEL-2BR cells were stimulated with type I collagen (40 µg/ml) for 18 h to activate DDR signaling
    Anti Ddr1 Primary Antibody, supplied by Cell Signaling Technology Inc, 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/anti+ddr1/DDR1+XP+Rabbit+mAb/pmc12915185-161-13-16
    Average 94 stars, based on 1 article reviews
    anti ddr1 primary antibody - by Bioz Stars, 2026-10
    94/100 stars
      Buy from Supplier

    86
    Cell Signaling Technology Inc anti resource source identifier ddr1 cell signaling cat
    MAPK inhibitor-resistant melanoma cells exhibit <t>enhanced</t> <t>DDR1/2</t> signaling. ( A ) Clonogenic assay showing the validation of drug-resistant cell lines. ( B ) Quantification of clonogenic assay shown in Fig. 1A. Data are presented as relative colony formation (%) normalized to the control group and expressed as the mean ± SEM, n = 3 replicates. Statistical significance was determined by two-way ANOVA. * p < 0.05, # p < 0.001, † p < 0.001, ‡ p < 0.0001. ( C ) Cell viability assay of RAF and MEK inhibitors in parental cells and drug-resistant cells for 48 h. Data are presented as the mean ± SEM, n = 3 replicates. ( D ) Western blot analysis of pERK and pAKT signaling responses in parental and resistant melanoma cells following 48-h treatment with vehicle or the corresponding resistance-selecting drug(s) at 1 µM. ( E ) Bubble plot representing Gene Set Enrichment Analysis (GSEA) using hallmark gene set comparing parental and resistant melanoma cells. Pathway enrichment was calculated using GSEA, with color indicating NES (blue = downregulated, red = upregulated) and bubble size representing −log10(p-value). ( F ) SK-MEL-2 and SK-MEL-2BR cells were stimulated with type I collagen (40 µg/ml) for 18 h to activate DDR signaling
    Anti Resource Source Identifier Ddr1 Cell Signaling Cat, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+ddr1/pm41379613-617-2-7
    Average 86 stars, based on 1 article reviews
    anti resource source identifier ddr1 cell signaling cat - by Bioz Stars, 2026-10
    86/100 stars
      Buy from Supplier

    93
    Cell Signaling Technology Inc anti ddr1 antibodies
    Differential expression of <t>DDR1</t> and survival analysis in the TCGA dataset. (A) Differential expression of DDR1 between tumor and control samples. (B) Differential expression of DDR1 between different age groups. (C) Differential expression of DDR1 between different sex groups. (D) Differential expression of DDR1 across different pathological stages. (E) Differential expression of DDR1 across different T stages. (F) Differential expression of DDR1 across different N stages. (G) Differential expression of DDR1 across different M stages. (H) Survival analysis results.
    Anti Ddr1 Antibodies, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+ddr1/DDR1+Antibody/pmc12698539-107-29-32
    Average 93 stars, based on 1 article reviews
    anti ddr1 antibodies - by Bioz Stars, 2026-10
    93/100 stars
      Buy from Supplier

    93
    Proteintech β actin
    Differential expression of <t>DDR1</t> and survival analysis in the TCGA dataset. (A) Differential expression of DDR1 between tumor and control samples. (B) Differential expression of DDR1 between different age groups. (C) Differential expression of DDR1 between different sex groups. (D) Differential expression of DDR1 across different pathological stages. (E) Differential expression of DDR1 across different T stages. (F) Differential expression of DDR1 across different N stages. (G) Differential expression of DDR1 across different M stages. (H) Survival analysis results.
    β Actin, supplied by Proteintech, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/anti+ddr1/DDR1+Antibody/pmc12729312-83-20-22
    Average 93 stars, based on 1 article reviews
    β actin - by Bioz Stars, 2026-10
    93/100 stars
      Buy from Supplier

    Image Search Results


    MAPK inhibitor-resistant melanoma cells exhibit enhanced DDR1/2 signaling. ( A ) Clonogenic assay showing the validation of drug-resistant cell lines. ( B ) Quantification of clonogenic assay shown in Fig. 1A. Data are presented as relative colony formation (%) normalized to the control group and expressed as the mean ± SEM, n = 3 replicates. Statistical significance was determined by two-way ANOVA. * p < 0.05, # p < 0.001, † p < 0.001, ‡ p < 0.0001. ( C ) Cell viability assay of RAF and MEK inhibitors in parental cells and drug-resistant cells for 48 h. Data are presented as the mean ± SEM, n = 3 replicates. ( D ) Western blot analysis of pERK and pAKT signaling responses in parental and resistant melanoma cells following 48-h treatment with vehicle or the corresponding resistance-selecting drug(s) at 1 µM. ( E ) Bubble plot representing Gene Set Enrichment Analysis (GSEA) using hallmark gene set comparing parental and resistant melanoma cells. Pathway enrichment was calculated using GSEA, with color indicating NES (blue = downregulated, red = upregulated) and bubble size representing −log10(p-value). ( F ) SK-MEL-2 and SK-MEL-2BR cells were stimulated with type I collagen (40 µg/ml) for 18 h to activate DDR signaling

    Journal: Cancer Cell International

    Article Title: PHI-501, a dual inhibitor of RAF and DDR1/2, overcomes MAPK drug resistance in Melanoma

    doi: 10.1186/s12935-026-04271-w

    Figure Lengend Snippet: MAPK inhibitor-resistant melanoma cells exhibit enhanced DDR1/2 signaling. ( A ) Clonogenic assay showing the validation of drug-resistant cell lines. ( B ) Quantification of clonogenic assay shown in Fig. 1A. Data are presented as relative colony formation (%) normalized to the control group and expressed as the mean ± SEM, n = 3 replicates. Statistical significance was determined by two-way ANOVA. * p < 0.05, # p < 0.001, † p < 0.001, ‡ p < 0.0001. ( C ) Cell viability assay of RAF and MEK inhibitors in parental cells and drug-resistant cells for 48 h. Data are presented as the mean ± SEM, n = 3 replicates. ( D ) Western blot analysis of pERK and pAKT signaling responses in parental and resistant melanoma cells following 48-h treatment with vehicle or the corresponding resistance-selecting drug(s) at 1 µM. ( E ) Bubble plot representing Gene Set Enrichment Analysis (GSEA) using hallmark gene set comparing parental and resistant melanoma cells. Pathway enrichment was calculated using GSEA, with color indicating NES (blue = downregulated, red = upregulated) and bubble size representing −log10(p-value). ( F ) SK-MEL-2 and SK-MEL-2BR cells were stimulated with type I collagen (40 µg/ml) for 18 h to activate DDR signaling

    Article Snippet: The membranes were incubated overnight at 4 °C with primary antibodies diluted in 5% BSA in TBST as indicated in the text: p-DDR1 (Cell Signaling Technology, CST14531 ), p-DDR1/2 (R&D Systems, MAB25382), p-AKT (Cell Signaling Technology, CST4058), AKT (Cell Signaling Technology, CST9272), p-MEK (Cell Signaling Technology, CST9121), p-ERK (Cell Signaling Technology, CST9101), ERK (Cell Signaling Technology, CST9102), Cyclin D1(Cell Signaling Technology, CST2978), and Survivin (Cell Signaling Technology, CST2808).

    Techniques: Clonogenic Assay, Biomarker Discovery, Control, Viability Assay, Western Blot

    DDR1 and DDR2 are associated with MAPK pathway activation and therapeutic resistance in melanoma. ( A ) Kaplan–Meier survival analysis showing patient outcomes based on DDR1 and DDR2 expression levels across all TCGA cancer types. Patients were stratified into high (top 25%) and low (bottom 25%) expression groups, and overall survival (OS) was analyzed. ( B ) Proteomic analysis of BRAF/NRAS-mutant SKCM. Box plots demonstrate differential expression of AKT and phosphorylated MEK1 (pMEK1-S217/S221) between wild-type and mutant groups. ( C ) Correlation heatmaps between DDR1/2 and key genes in the MAPK and AKT signaling pathways in TCGA-SKCM samples. Color intensity represents the correlation value, with red indicating a positive correlation. Significance levels are indicated by asterisks (* p < 0.05, ** p < 0.01, *** p < 0.001). ( D ) Correlation analysis revealing DDR1 expression (DepMap) and MAPK pathway inhibitor sensitivity (GDSC2) in melanoma cell lines. Scatter plots depicting correlations between DDR1 expression levels and IC50 to Dabrafenib (left) and Trametinib (right)

    Journal: Cancer Cell International

    Article Title: PHI-501, a dual inhibitor of RAF and DDR1/2, overcomes MAPK drug resistance in Melanoma

    doi: 10.1186/s12935-026-04271-w

    Figure Lengend Snippet: DDR1 and DDR2 are associated with MAPK pathway activation and therapeutic resistance in melanoma. ( A ) Kaplan–Meier survival analysis showing patient outcomes based on DDR1 and DDR2 expression levels across all TCGA cancer types. Patients were stratified into high (top 25%) and low (bottom 25%) expression groups, and overall survival (OS) was analyzed. ( B ) Proteomic analysis of BRAF/NRAS-mutant SKCM. Box plots demonstrate differential expression of AKT and phosphorylated MEK1 (pMEK1-S217/S221) between wild-type and mutant groups. ( C ) Correlation heatmaps between DDR1/2 and key genes in the MAPK and AKT signaling pathways in TCGA-SKCM samples. Color intensity represents the correlation value, with red indicating a positive correlation. Significance levels are indicated by asterisks (* p < 0.05, ** p < 0.01, *** p < 0.001). ( D ) Correlation analysis revealing DDR1 expression (DepMap) and MAPK pathway inhibitor sensitivity (GDSC2) in melanoma cell lines. Scatter plots depicting correlations between DDR1 expression levels and IC50 to Dabrafenib (left) and Trametinib (right)

    Article Snippet: The membranes were incubated overnight at 4 °C with primary antibodies diluted in 5% BSA in TBST as indicated in the text: p-DDR1 (Cell Signaling Technology, CST14531 ), p-DDR1/2 (R&D Systems, MAB25382), p-AKT (Cell Signaling Technology, CST4058), AKT (Cell Signaling Technology, CST9272), p-MEK (Cell Signaling Technology, CST9121), p-ERK (Cell Signaling Technology, CST9101), ERK (Cell Signaling Technology, CST9102), Cyclin D1(Cell Signaling Technology, CST2978), and Survivin (Cell Signaling Technology, CST2808).

    Techniques: Activation Assay, Expressing, Mutagenesis, Quantitative Proteomics, Protein-Protein interactions

    Differential expression of DDR1 and survival analysis in the TCGA dataset. (A) Differential expression of DDR1 between tumor and control samples. (B) Differential expression of DDR1 between different age groups. (C) Differential expression of DDR1 between different sex groups. (D) Differential expression of DDR1 across different pathological stages. (E) Differential expression of DDR1 across different T stages. (F) Differential expression of DDR1 across different N stages. (G) Differential expression of DDR1 across different M stages. (H) Survival analysis results.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Differential expression of DDR1 and survival analysis in the TCGA dataset. (A) Differential expression of DDR1 between tumor and control samples. (B) Differential expression of DDR1 between different age groups. (C) Differential expression of DDR1 between different sex groups. (D) Differential expression of DDR1 across different pathological stages. (E) Differential expression of DDR1 across different T stages. (F) Differential expression of DDR1 across different N stages. (G) Differential expression of DDR1 across different M stages. (H) Survival analysis results.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Quantitative Proteomics, Control

    Construction of a nomogram for NSCLC patients based on DDR1 expression from the TCGA database. (A) Univariate Cox analysis. (B) Multivariate Cox analysis. (C) Nomogram for clinical features. (D) Calibration curves for 1-, 3-, and 5-year outcomes. (E) Decision curve analysis (DCA) for the nomogram model.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Construction of a nomogram for NSCLC patients based on DDR1 expression from the TCGA database. (A) Univariate Cox analysis. (B) Multivariate Cox analysis. (C) Nomogram for clinical features. (D) Calibration curves for 1-, 3-, and 5-year outcomes. (E) Decision curve analysis (DCA) for the nomogram model.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Expressing

    Somatic mutation analysis between the high and low DDR1 expression groups. (A) Correlation analysis between DDR1 expression and the DNA methylation level. (B) DDR1 expression differences between the DDR1-mutant and wild-type groups. (C) Survival analysis between the DDR1-mutant and wild-type groups. (D) Distribution of TMB between the high and low DDR1 expression groups. (E) Waterfall plot showing common somatic gene mutations, with a bar chart on the right indicating the mutation frequency in each group.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Somatic mutation analysis between the high and low DDR1 expression groups. (A) Correlation analysis between DDR1 expression and the DNA methylation level. (B) DDR1 expression differences between the DDR1-mutant and wild-type groups. (C) Survival analysis between the DDR1-mutant and wild-type groups. (D) Distribution of TMB between the high and low DDR1 expression groups. (E) Waterfall plot showing common somatic gene mutations, with a bar chart on the right indicating the mutation frequency in each group.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Mutagenesis, Expressing, DNA Methylation Assay

    Immune infiltration analysis. (A) Correlations between immune cell infiltration and DDR1 expression evaluated by four algorithms. (B) Correlations between the expression levels of DDR1 and those of seven types of immunoregulatory genes.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Immune infiltration analysis. (A) Correlations between immune cell infiltration and DDR1 expression evaluated by four algorithms. (B) Correlations between the expression levels of DDR1 and those of seven types of immunoregulatory genes.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Expressing

    Drug sensitivity analysis. Differences in the IC50 values for methotrexate (A) , vinblastine (B) , doxorubicin (C) , cisplatin (D) , docetaxel (E) , and gefitinib (F) between the high and low DDR1 expression groups.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Drug sensitivity analysis. Differences in the IC50 values for methotrexate (A) , vinblastine (B) , doxorubicin (C) , cisplatin (D) , docetaxel (E) , and gefitinib (F) between the high and low DDR1 expression groups.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Expressing

    Correlation analysis of immune therapy predictors. Distribution of TLS (A) , TIDE (B) and CYT (C) scores between the high and low DDR1 expression groups. (D) Differences in tumor immune cycle steps between the high and low DDR1 expression groups. (E) Correlations between immune checkpoint genes and DDR1 expression.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Correlation analysis of immune therapy predictors. Distribution of TLS (A) , TIDE (B) and CYT (C) scores between the high and low DDR1 expression groups. (D) Differences in tumor immune cycle steps between the high and low DDR1 expression groups. (E) Correlations between immune checkpoint genes and DDR1 expression.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Expressing

    Pseudotime analysis. (A) Differentiation trajectory of 13 cell subpopulations in tumor samples (colors represent different cell subtypes). (B) Developmental timeline of 13 cell subpopulations (color intensity from dark to light represents pseudotime). (C) Timeline showing changes in DDR1 expression during the developmental trajectory. (D) UMAP plot showing DDR1 expression across different cell types.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Pseudotime analysis. (A) Differentiation trajectory of 13 cell subpopulations in tumor samples (colors represent different cell subtypes). (B) Developmental timeline of 13 cell subpopulations (color intensity from dark to light represents pseudotime). (C) Timeline showing changes in DDR1 expression during the developmental trajectory. (D) UMAP plot showing DDR1 expression across different cell types.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Expressing

    Enrichment analysis between the high and low DDR1 expression groups. (A) Volcano plot of the differential expression analysis results (red: upregulated; blue: downregulated). (B–G) Enrichment analysis results for KEGG analysis, BP analysis, CC analysis, MF analysis, GSVA, and GSEA.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Enrichment analysis between the high and low DDR1 expression groups. (A) Volcano plot of the differential expression analysis results (red: upregulated; blue: downregulated). (B–G) Enrichment analysis results for KEGG analysis, BP analysis, CC analysis, MF analysis, GSVA, and GSEA.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Expressing, Quantitative Proteomics

    Effect of DDR1 knockdown on the proliferation, invasion, migration, and adhesion of CALU3 and NCI-H292 cells. A cell viability assay (A) , apoptosis analysis by flow cytometry (B) , and a colony formation assay (C) demonstrated changes in cell proliferation following DDR1-siRNA transfection. Scratch assays (D) revealed that DDR1 knockdown significantly reduced the migration ability of CALU3 and NCI-H292 cells. Transwell assays (E, F) revealed a marked decrease in the number of cells that crossed the Transwell membrane, indicating a significant reduction in migration and invasion capacity. Furthermore, an adhesion assay (G) demonstrated that DDR1 knockdown led to a substantial decrease in the adhesion of CALU3 and NCI-H292 cells to the extracellular matrix. ***P<0.001, **P<0.01, *P<0.05. NC, negative control; si, small interfering; OD, optical density.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: Effect of DDR1 knockdown on the proliferation, invasion, migration, and adhesion of CALU3 and NCI-H292 cells. A cell viability assay (A) , apoptosis analysis by flow cytometry (B) , and a colony formation assay (C) demonstrated changes in cell proliferation following DDR1-siRNA transfection. Scratch assays (D) revealed that DDR1 knockdown significantly reduced the migration ability of CALU3 and NCI-H292 cells. Transwell assays (E, F) revealed a marked decrease in the number of cells that crossed the Transwell membrane, indicating a significant reduction in migration and invasion capacity. Furthermore, an adhesion assay (G) demonstrated that DDR1 knockdown led to a substantial decrease in the adhesion of CALU3 and NCI-H292 cells to the extracellular matrix. ***P<0.001, **P<0.01, *P<0.05. NC, negative control; si, small interfering; OD, optical density.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Knockdown, Migration, Viability Assay, Flow Cytometry, Colony Assay, Transfection, Membrane, Cell Adhesion Assay, Negative Control

    DDR1 expression in NSCLC tumor tissue. (A) Representative IHC images of DDR1 expression in NSCLC tissues. -: negative staining, +: mild positive staining, ++: moderate positive staining, +++: strong positive staining. Magnification, up 20×; down 80×. (B) Comparison of the IHC scores of DDR1 in NSCLC tumor tissues and paired adjacent normal tissues**** P < 0.0001. (C) Comparison between LUSC and LUAD. ** P < 0.01.

    Journal: Frontiers in Immunology

    Article Title: DDR1 as a key prognostic biomarker in non-small cell lung cancer: identification, validation, and potential therapeutic implications

    doi: 10.3389/fimmu.2025.1690829

    Figure Lengend Snippet: DDR1 expression in NSCLC tumor tissue. (A) Representative IHC images of DDR1 expression in NSCLC tissues. -: negative staining, +: mild positive staining, ++: moderate positive staining, +++: strong positive staining. Magnification, up 20×; down 80×. (B) Comparison of the IHC scores of DDR1 in NSCLC tumor tissues and paired adjacent normal tissues**** P < 0.0001. (C) Comparison between LUSC and LUAD. ** P < 0.01.

    Article Snippet: Patient tissue samples were cut into 4-μm-thick sections, deparaffinized, and rehydrated before being treated with antigen retrieval solution (10 mmol/L sodium citrate buffer, pH 6.0) and then reacted with anti-DDR1 antibodies (1:3200; Cell Signaling Technology).

    Techniques: Expressing, Negative Staining, Staining, Comparison