gpc1 Antibody

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Description

Biological Function and Target Profile of GPC1

Structure:

  • Gene location: 2q37.3

  • Protein composition: 558 amino acids with three heparan sulfate (HS) chains at Ser-486/488/490 and two N-glycosylation sites (Asn-79/116)

  • Membrane association: Glycosylphosphatidylinositol (GPI)-anchored

Mechanisms in Cancer:

  • Modulates signaling pathways:

    PathwayInteractionRole in Cancer
    FGF/VEGFHS chain bindingPromotes angiogenesis
    EGFRCore protein interactionEnhances cell survival
    Wnt/HedgehogLigand stabilizationDrives tumor proliferation

GPC1 overexpression correlates with poor prognosis in pancreatic ductal adenocarcinoma (PDAC), esophageal squamous cell carcinoma (ESCC), and hepatocellular carcinoma (HCC) .

Key Therapeutic Antibodies:

AntibodyFormatTarget EpitopeMechanismDevelopment Stage
MiltuximabChimeric IgG1C-terminal domainRadioimmunotherapy (177Lu/89Zr)Phase I completed
HM2Mouse mAbC-terminal domainCAR-T cell activationPreclinical (pancreatic cancer)
AT101IgMMembrane-proximal regionComplement fixationPreclinical (PDAC)
Clone 1-12Mouse IgG2aCentral domain (AA 290-420)ADC (MMAF payload)Preclinical (ESCC/PDAC)

Diagnostic Use:

  • Exosomal GPC1 detection proposed for early PDAC diagnosis (disputed specificity)

  • Immuno-PET imaging with 89Zr-labeled antibodies shows tumor uptake within 24h

Selected Findings:

Cancer TypeModelKey ResultsSource
ESCCXenografts72% tumor growth inhibition via ADCC/CDC
PDACPatient-derived xenografts89% reduction with GPC1-ADC (p < 0.01)
HCC97H/HUH7 cell linesGPC1 knockdown reduced proliferation by 40%
Prostate CancerRadiolabeled Miltuximab68% tumor regression in 14 days

Mechanistic Insights:

  • Induces G2/M cell cycle arrest in PDAC models

  • Suppresses AKT phosphorylation in HCC (fold change: 0.32±0.08)

  • Recruits NK cells/macrophages in PDAC microenvironment

Clinical Development Pipeline

AgentTrial PhaseIndicationKey Outcomes
Miltuximab®Phase I (N=12)Advanced solid tumorsNo drug-related adverse events
89Zr-MiltuximabPhase Ib (Planned)PDAC imagingPending 2025 Q4 start
GlytuzumabLead OptimizationPan-cancerHumanized variant of Miltuximab

Limitations:

  • Antigen heterogeneity: 15-20% PDAC cases show GPC1-negative subclones

  • On-target toxicity risk in HS-containing tissues

Innovation Pathways:

  • Bispecific antibodies engaging CD3/GPC1

  • Nanobody-drug conjugates (e.g., D4 VHH-MMAE)

  • Combination with anti-PD-1 (synergy index: 2.3 in murine models)

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
gpc1 antibody; zgc:122977 antibody; Glypican-1 [Cleaved into: Secreted glypican-1] antibody
Target Names
gpc1
Uniprot No.

Target Background

Function
GPC1 is a cell surface proteoglycan that bears heparan sulfate.
Database Links
Protein Families
Glypican family
Subcellular Location
Cell membrane; Lipid-anchor, GPI-anchor.; [Secreted glypican-1]: Secreted, extracellular space.

Q&A

What is GPC1 and why is it considered a promising target for cancer research?

Glypican-1 (GPC1) is a heparan sulfate proteoglycan (HSPG) anchored to the plasma membrane by a glycosylphosphatidylinositol (GPI) anchor. It has emerged as a significant target in cancer research for several reasons:

  • GPC1 is overexpressed in multiple cancer types, including pancreatic ductal adenocarcinoma, esophageal squamous cell carcinoma, glioblastoma, and hepatocellular carcinoma .

  • It promotes tumor growth, metastasis, and invasion by acting as a coreceptor for heparin-binding growth factors, enhancing various signaling pathways including Wnt, Hedgehog, hepatocyte growth factor, and fibroblast growth factor-2 .

  • Expression in normal tissues is primarily restricted to the testis or ovary, making it a potential tumor-specific marker .

  • Elevated GPC1 expression has been correlated with poor prognosis in several cancer types .

The tumor-enriched expression pattern of GPC1 makes it an attractive target for both diagnostic and therapeutic approaches in oncology research.

How can researchers detect and quantify GPC1 expression in tumor samples?

Researchers can employ several methodologies to detect and quantify GPC1 expression:

Immunohistochemistry (IHC):

  • Tissue microarrays can be used to evaluate GPC1 expression across multiple samples simultaneously. This approach allows for scoring based on staining intensity (e.g., high-expression vs. low-expression groups) .

  • Several validated anti-GPC1 antibodies have been employed in IHC, including clone 01a033 and clone T2 .

Flow Cytometry:

  • Surface expression of GPC1 can be quantified using indirect immunofluorescence assays with anti-GPC1 antibodies .

  • Quantitative measures such as "sites per cell" can be determined (e.g., ranging from 30,507 to 225,521 sites per cell in different glioma cell lines) .

Western Blot Analysis:

  • Both reduced and non-reduced conditions can be used to detect GPC1 .

  • Core GPC1 protein (~60kDa) and high molecular weight heparan sulfate GPC1 protein can be distinguished .

  • Protein Simple Western blot technology offers higher sensitivity for GPC1 detection .

qPCR Analysis:

  • Expression of GPC1 mRNA can be measured in tumor tissues compared to corresponding normal tissues .

Exosome Analysis:

  • GPC1-positive exosomes can be detected using flow cytometry after binding to aldehyde/sulfate beads or direct visualization using Flow Nano Analyzer technology .

What cancer types show significant GPC1 overexpression?

GPC1 overexpression has been documented in numerous cancer types:

  • Glioblastoma: 62.9% of cases showed high GPC1 expression in tissue microarray analyses .

  • Pancreatic ductal adenocarcinoma (PDAC): Consistently elevated expression compared to normal pancreatic tissue .

  • Esophageal squamous cell carcinoma (ESCC): Significant overexpression reported .

  • Hepatocellular carcinoma (HCC): High expression negatively correlated with survival .

  • Cervical squamous cell carcinoma: Higher expression than corresponding normal cervix tissues .

  • Cholangiocarcinoma: Elevated expression documented .

  • Other cancers: Colorectal cancer, prostate cancer, and breast cancer have also shown increased GPC1 expression .

While GPC1 is frequently overexpressed in these malignancies, its expression in normal tissues is generally restricted to reproductive organs (testis or ovary), making it a potentially specific tumor marker .

What are the key differences between commercially available anti-GPC1 antibody clones?

Different anti-GPC1 antibody clones exhibit distinct characteristics that make them suitable for specific applications:

Antibody CloneSourceImmunogenInternalization PropertiesBest Applications
Clone 01a033Mouse anti-humanNot specifiedHigh internalization capacityADC development, therapeutic applications
Clone T2HumanizedNot specifiedEfficient internalizationADC development, therapeutic applications
Clone 1-12Not specifiedRecognizes both human and mouse GPC1Limited internalizationCAR-T cell development
ThermoFisher PA5-28055CommercialRecombinant fragment (aa 200-558)Not specifiedDetection of GPC1+ exosomes
Sigma SAB2700282CommercialRecombinant fragment (aa 200-558)Not specifiedDetection of GPC1+ exosomes
Abnova MAB8351 (clone 9E9)CommercialFull-length human GPC1Not specifiedDetection of GPC1+ exosomes, western blotting
AT101IgMC-terminal 46-amino acid peptideNot specifiedComplement-dependent cytotoxicity

The internalization property is particularly important, as antibodies with high internalization capacity are more suitable for ADC development and targeted therapies where intracellular drug delivery is crucial .

How do internalization properties of anti-GPC1 antibodies influence their therapeutic applications?

The internalization capacity of anti-GPC1 antibodies is a critical determinant of their therapeutic potential:

For Antibody-Drug Conjugates (ADCs):

  • Anti-GPC1 antibodies that efficiently internalize, such as clone 01a033 and clone T2, are ideal candidates for ADC development .

  • Studies show that GPC1-ADC, when bound to GPC1, is rapidly internalized in target cell lines, allowing for efficient delivery of cytotoxic payloads .

  • The internalization process facilitates the release of toxic payloads like monomethyl auristatin E (MMAE) inside cancer cells, inducing cell cycle arrest in the G2/M phase and triggering apoptosis .

For Targeted α-Therapy:

  • The antitumor effect of [211At]GPC1 mAb is significantly dependent on internalization capabilities .

  • DNA double-strand breaks induced by [211At]GPC1 mAb were substantially suppressed when internalization was inhibited by dynasore, confirming the importance of this property .

  • In vivo studies demonstrated that internalization inhibitors (prochlorperazine) significantly reduced the therapeutic effect of [211At]GPC1 mAb .

Quantitative Analysis:

  • Flow cytometry can be used to measure internalization percentages over time .

  • Dynasore and other internalization inhibitors can be used as experimental controls to confirm the role of internalization in the mechanism of action .

For researchers developing GPC1-targeted therapeutics, selecting antibody clones with optimal internalization properties and including appropriate controls to assess this function is essential for maximizing therapeutic efficacy.

What strategies can be employed for developing effective anti-GPC1 antibody-drug conjugates (ADCs)?

Development of effective GPC1-targeted ADCs requires consideration of multiple factors:

Antibody Selection:

  • Choose antibodies with high specificity for GPC1 and efficient internalization properties, such as clone T2 or clone 01a033 .

  • Screening assays can be performed to identify optimal mAb clones. For example, clone T2 was selected after screening 20 humanized anti-GPC1 antibodies using an indirect cytotoxicity assay with MMAF-conjugated secondary antibodies .

Linker-Payload Selection:

  • Maleimidocaproyl-valine-citrulline-p-aminobenzyloxycarbonyl (mc-vc-PABC) linkers have shown effectiveness when conjugated with monomethyl auristatin E (MMAE) .

  • This linker-payload combination allows for controlled release of the cytotoxic agent upon internalization and processing within target cells.

Evaluation of Target Expression:

  • Confirm elevated GPC1 expression in target tumor types using immunohistochemistry on tissue microarrays .

  • Quantify GPC1 expression levels on cell surfaces using flow cytometry and indirect immunofluorescence assays (reported values range from ~30,000 to ~225,000 sites per cell in different cancer cell lines) .

In Vitro Validation:

  • Assess ADC internalization efficiency using flow cytometry with biotin-labeled anti-GPC1 mAbs recognizing distinct epitopes from the therapeutic antibody .

  • Evaluate cytotoxicity against GPC1-positive and GPC1-negative cell lines to confirm specificity .

  • Analyze mechanisms of action, including cell cycle arrest in G2/M phase and apoptosis induction .

In Vivo Models:

  • Test efficacy in various xenograft models, including subcutaneous, orthotopic, and metastatic models .

  • For brain tumors, evaluate efficacy in intracranial orthotopic xenograft models to assess blood-brain barrier penetration .

Bystander Killing Assessment:

  • Evaluate the potential for bystander killing effects, which can enhance efficacy in heterogeneous tumors where not all cells express the target .

What experimental models are most appropriate for evaluating anti-GPC1 therapeutics?

Selection of appropriate experimental models is crucial for evaluating the efficacy and safety of anti-GPC1 therapeutics:

Cell Line Models:

  • GPC1-positive lines: Various validated GPC1-positive cell lines include BxPC3 (pancreatic cancer), PANC-1 (pancreatic cancer), KNS42, U-251-MG, and KALS-1 (glioblastoma) .

  • Control lines: GPC1-knockout cell lines (e.g., BxPC3-GKO) and low-expressing lines (e.g., Jurkat) serve as important controls .

  • Engineered lines: Cell lines with GPC1 knockdown (using shRNA) or overexpression provide valuable tools for demonstrating specificity .

Xenograft Models:

  • Subcutaneous xenografts: Useful for initial efficacy assessment and allow for easy tumor measurement .

  • Orthotopic models: More physiologically relevant:

    • Intracranial implantation for glioblastoma (e.g., KS-1-Luc models)

    • Pancreatic implantation for PDAC

  • Metastatic models: Important for evaluating efficacy against disseminated disease (e.g., BxPC-3-Luc#2 pancreatic cancer liver metastases models) .

  • Patient-derived xenograft (PDX) models: Provide better representation of tumor heterogeneity and have been used to demonstrate GPC1-ADC efficacy in pancreatic cancer and ESCC .

Syngeneic Models:

  • Critical for evaluating immune-related therapies like CAR-T cells

  • Studies have emphasized "the importance of syngeneic and xenogeneic models for evaluating safety" of GPC1-targeted CAR-T therapies .

Imaging Models:

  • Luciferase-transfected cell lines (e.g., KS-1-Luc) enable real-time monitoring of tumor growth in vivo .

  • PET imaging models with [89Zr]GPC1 mAb allow for visualization of antibody biodistribution and tumor targeting .

Model Selection Considerations:

  • For ADC evaluation, models should reflect the heterogeneity of GPC1 expression observed in clinical samples .

  • For therapies targeting brain tumors, models should account for blood-brain barrier considerations .

  • Both immunodeficient models (for human xenografts) and immunocompetent models (for evaluating immune responses) may be required for comprehensive evaluation .

How can researchers validate the specificity of anti-GPC1 antibodies for their experimental applications?

Validating antibody specificity is essential for ensuring reliable experimental results. For anti-GPC1 antibodies, several complementary approaches can be employed:

Genetic Validation:

  • GPC1 knockdown: Create stable knockdown cell lines using multiple shRNA constructs targeting different regions of GPC1 mRNA .

  • GPC1 knockout: Generate complete knockout cell lines as negative controls (e.g., BxPC3-GKO) .

  • GPC1 overexpression: Establish overexpression cell lines to serve as positive controls .

  • mRNA confirmation: Verify knockdown or overexpression by qPCR to confirm genetic manipulation .

Protein-Level Validation:

  • Western blot analysis: Compare antibody reactivity in:

    • Parental vs. GPC1 knockdown/knockout cell lines

    • Normal vs. tumor tissues

    • Non-reduced vs. reduced conditions to detect different forms of GPC1 (~60kDa core protein and high molecular weight forms) .

  • Different antibody clones: Test multiple antibodies targeting different epitopes of GPC1 to confirm consistent results .

  • Recombinant protein: Include human recombinant GPC1 protein as a positive control .

Functional Validation:

  • Binding assays: Use ELISA to confirm binding to purified GPC1 protein .

  • Flow cytometry: Compare staining patterns between GPC1-positive and GPC1-negative cell lines .

  • Blocking experiments: Conduct competitive binding studies to confirm epitope specificity .

  • Immunohistochemistry: Compare staining patterns in tumor vs. normal tissues and correlate with other detection methods .

Advanced Techniques:

  • Flow Nano Analyzer: Direct visualization of GPC1+ immunolabeled exosomes from different cell sources provides additional specificity confirmation .

  • Cross-reactivity testing: Evaluate antibody reactivity against related glypican family members to ensure specificity.

From published research, a robust validation approach often combines multiple techniques. For example, one study validated anti-GPC1 antibodies through:

  • Flow cytometry to detect surface expression

  • Western blot analysis of cell lysates

  • High-sensitivity Protein Simple Western blot analysis

  • Direct visualization using Flow Nano Analyzer

  • Correlation of results across multiple antibody clones (ThermoFisher PA5-28055, Sigma SAB2700282, and Abnova MAB8351)

What methods are most effective for evaluating the internalization kinetics of anti-GPC1 antibodies?

Assessing internalization kinetics is crucial for applications like ADCs where intracellular delivery is essential. Several complementary methods can be employed:

Flow Cytometry-Based Methods:

  • Surface GPC1 depletion: After exposure to anti-GPC1 antibodies, measure the remaining surface GPC1 using a second antibody that recognizes a different epitope. Decreasing signal indicates internalization .

  • Acid wash technique: Distinguish between surface-bound and internalized antibodies by using acid washing to remove surface-bound antibodies.

  • Time-course studies: Evaluate internalization percentages at multiple time points (e.g., 0-24 hours) to determine rate and extent of internalization .

Fluorescence-Based Microscopy:

  • Confocal microscopy: Use fluorescently-labeled antibodies to visualize internalization kinetics in real-time .

  • Co-localization studies: Employ endosomal or lysosomal markers to track the intracellular fate of internalized antibodies.

Pharmacological Inhibition:

  • Dynasore application: This dynamin inhibitor blocks endocytosis and can serve as a control to confirm internalization-dependent effects .

  • Other inhibitors: Prochlorperazine or other endocytosis inhibitors can be used to validate internalization mechanisms .

Comparative Analysis:

  • Compare internalization properties between different antibody clones using identical methods. For example, studies have shown that clone 01a033 demonstrates significant internalization over time, while clone 1-12 shows minimal internalization .

Quantitative Parameters:

  • T1/2 of internalization: Calculate the time required for 50% internalization.

  • Maximum internalization percentage: Determine the plateau level of internalization.

Research has demonstrated significant differences in internalization capabilities among anti-GPC1 antibody clones, directly impacting their therapeutic potential. For instance, clone 01a033 showed increased internalization over time, making it suitable for ADC and targeted α-therapy applications, while clone 1-12 exhibited minimal internalization but remained useful for CAR-T cell development .

How can GPC1-targeted antibodies be utilized for developing CAR-T cell therapies?

Developing GPC1-targeted CAR-T cell therapies involves several specialized considerations:

Antibody Selection:

  • Choose antibodies that recognize both human and mouse GPC1 to facilitate preclinical evaluation in syngeneic mouse models .

  • Antibodies recognizing membrane-proximal epitopes may be preferred for optimal CAR functionality.

  • Unlike ADC applications, high internalization capacity may not be necessary for CAR-T efficacy, as demonstrated by the successful use of clone 1-12 (which shows minimal internalization) for CAR-T development .

CAR Design:

  • Generate CARs using the variable regions of anti-GPC1 mAbs (e.g., clone 1-12) .

  • Standard CAR components include:

    • scFv derived from anti-GPC1 antibody

    • Hinge and transmembrane domains

    • Co-stimulatory domains (CD28, 4-1BB)

    • CD3ζ signaling domain

Specificity Validation:

  • Confirm target recognition using:

    • Flow cytometry against GPC1-positive and GPC1-negative cell lines

    • Cytotoxicity assays against cells with varying GPC1 expression levels

Safety Assessment:

  • Evaluate potential on-target/off-tumor toxicity by:

    • Comprehensive analysis of GPC1 expression in normal tissues by qPCR and IHC

    • Using syngeneic models that allow for assessment of toxicity against normal mouse tissues expressing GPC1

    • Dual-targeting strategies or safety switches to mitigate potential toxicity

Efficacy Evaluation:

  • Test in multiple tumor models:

    • Established solid tumor models

    • Metastatic models

    • Patient-derived xenograft models

  • Assess both in immunodeficient xenogeneic models (for human tumors) and immunocompetent syngeneic models (for safety evaluation)

Addressing Solid Tumor Challenges:

  • Evaluate strategies to overcome solid tumor barriers:

    • Combined checkpoint inhibition

    • Modification of tumor microenvironment

    • Enhanced CAR-T cell trafficking and persistence

Research has demonstrated that GPC1-specific CAR-T cells can "eradicate established solid tumor without toxicity," highlighting the potential of this approach . The use of both syngeneic and xenogeneic models has proven crucial for comprehensive evaluation of both efficacy and safety aspects of GPC1-targeted CAR-T therapies .

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