caf17 Antibody

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Description

Cadherin-17 (CDH17) as a Therapeutic Target

CDH17 is a calcium-dependent cell adhesion protein overexpressed in 50–95% of gastrointestinal (GI) cancers, including colorectal, pancreatic, and gastric carcinomas . Its RGD motif facilitates interactions with α2β1 integrins, promoting tumor cell adhesion, proliferation, and metastasis . Normal CDH17 expression is restricted to intestinal epithelial tight junctions, making it a tumor-selective target .

Monoclonal Antibodies (mAbs)

  • RGD-Specific mAbs: Antibodies targeting the CDH17 RGD motif (e.g., from ) block integrin binding, reducing cancer cell adhesion and proliferation by >50% in vitro. These mAbs inhibit downstream signaling (FAK, Src, AKT) in colorectal, pancreatic, and breast cancers .

  • Bispecific T-Cell Engagers: ARB202, a CDH17/CD3 bispecific antibody, redirects T cells to CDH17+ tumors. Phase IA trials show tolerability up to 0.003 mg/kg with no severe adverse events .

Preclinical Findings

Model SystemOutcome
Colorectal CancerRGD mAbs reduced liver metastasis and improved survival in mice .
MelanomaCDH17 blockade suppressed lung metastasis and JNK/ERK signaling .
Pancreatic CancerAntibodies impaired tumor cell invasion via FAK pathway inhibition .

Clinical Trial Progress

ARB202 Phase IA Trial (NCT05411133)6:

  • Cohorts: 7 patients (colorectal, gastric, pancreatic, cholangiocarcinoma) received doses from 0.0003–0.003 mg/kg.

  • Safety: No dose-limiting toxicities; Cmax reached 40–50 ng/mL.

  • Next Steps: Escalation to higher doses (0.01 mg/kg) to assess T-cell engagement efficacy.

Antibody Reagents

  • MAB8524: Rabbit monoclonal antibody detecting mouse CDH17 (~130 kDa) with high specificity in colon tissue .

  • AF8524: Polyclonal antibody for human/mouse CDH17, validated in Western blot (120–152 kDa) and immunohistochemistry .

Assay Applications

MethodApplication
Western BlotDetects CDH17 in colon, spleen, and cancer cell lysates .
ImmunohistochemistryLocalizes CDH17 to plasma membranes in intestinal and tumor tissues .
Flow CytometryQuantifies CDH17 expression in cancer cell lines (e.g., HeLa, MCF7) .

Challenges and Future Directions

  • Heterogeneity: CDH17 expression varies across cancer subtypes, necessitating biomarker-guided therapies .

  • Drug Delivery: Targeting masked epitopes in normal tissues requires engineered antibodies with enhanced tumor penetration .

  • Combination Therapies: Synergy with checkpoint inhibitors or chemotherapy remains unexplored .

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
caf17 antibody; SPAC21E11.07 antibody; SPAC2C4.01Putative transferase caf17 antibody; mitochondrial antibody; EC 2.1.-.- antibody
Target Names
caf17
Uniprot No.

Target Background

Database Links
Protein Families
GcvT family, CAF17 subfamily
Subcellular Location
Mitochondrion.

Q&A

What is P/CAF and how are P/CAF antibodies utilized in epigenetic research?

P/CAF (also known as KAT2B) is a 832-amino acid protein that functions as a histone acetyltransferase (HAT) to promote transcriptional activation. P/CAF antibodies are critical tools for studying epigenetic regulation, as they enable detection of this protein that is widely expressed across many tissue types and localized to both the nucleus and cytoplasm of cells .

For effective P/CAF detection, researchers should employ the following methodology:

  • Western Blot: The most common application, optimal for quantifying expression levels

  • ELISA: Suitable for high-throughput screening applications

  • Immunohistochemistry: Effective for tissue localization studies

When selecting a P/CAF antibody, consider the specific epitope recognition (N-terminal vs. full-length) based on your experimental question. Polyclonal antibodies offer broader epitope recognition but may have higher background, while monoclonal antibodies provide more consistent results across experiments with higher specificity.

How do FAP-targeting antibodies function in cancer research models?

Fibroblast activation protein (FAP) is a transmembrane prolyl protease expressed on cancer-associated fibroblasts (CAFs) found in the stroma of nearly every epithelial cancer. FAP-targeting antibodies serve as critical tools for studying tumor microenvironment interactions .

Methodologically, FAP-targeting approaches include:

  • Using antibodies for selective detection of FAP-expressing cells in tumor samples

  • Employing antibody-drug conjugates (such as humanized B12 antibody coupled to monomethyl auristatin E) to selectively eliminate FAP-expressing CAFs in experimental models

  • Studying downstream effects of FAP inhibition on tumor progression and immune response

Research shows that FAP expression is absent in normal adult tissues but present during wound healing, embryogenesis, and fibrosis, making FAP antibodies highly specific for pathological conditions. This specificity explains why FAP knockout mice develop normally, suggesting compensatory mechanisms exist for FAP's native function .

What methodological approaches ensure optimal antibody performance in experimental systems?

To maximize antibody performance in research applications, follow these methodological guidelines:

  • Validation Protocol:

    • Confirm antibody specificity through multiple techniques (Western blot, immunoprecipitation)

    • Include appropriate positive and negative controls

    • Test across relevant tissue/cell types to confirm expected expression patterns

  • Sample Preparation Optimization:

    • For fixed samples: Determine optimal fixation method (paraformaldehyde vs. methanol)

    • For protein extracts: Select appropriate lysis buffer based on protein localization

    • Standardize protein quantification methods for consistent loading

  • Protocol Optimization:

    • Titrate antibody concentration to determine optimal working dilution

    • Test multiple blocking reagents to minimize background

    • Optimize incubation times and temperatures

This systematic approach ensures reproducible results and minimizes experimental variability when working with antibody-based detection methods.

How can Design of Experiments (DOE) methodologies optimize antibody-drug conjugate development?

Design of Experiments represents a sophisticated approach to antibody-drug conjugate (ADC) development that systematically evaluates multiple parameters simultaneously while minimizing resource expenditure. For researchers developing therapeutic antibodies, implementing DOE requires:

  • Parameter Selection and Statistical Design:

    • Choose a factorial design (full or fractional) based on research phase

    • Select appropriate process parameters (e.g., pH, concentration, temperature)

    • Establish response variables (e.g., Drug Antibody Ratio)

  • Preparatory Considerations:

    • Generate antibody materials at appropriate pH and concentration ranges

    • Select appropriate scale-down models to avoid introducing variability

    • Define quality attributes as hard specifications (e.g., DAR between 3.4-4.4)

  • Execution and Analysis:

    • Implement full factorial design with center points (e.g., 16 experiments in corners with 3 center points)

    • Calculate R² values to evaluate model fit and probability of establishing a robust design space

    • Define optimal setpoints within specifications

This methodical DOE approach enables researchers to develop robust ADC processes with sufficient understanding for safe scale-up while establishing appropriate control strategies.

What methodological framework is necessary for analyzing anti-drug antibody (ADA) responses in therapeutic antibody research?

Analysis of anti-drug antibodies requires a sophisticated multi-tiered approach that progresses from screening to confirmation to characterization:

  • Testing Scheme Implementation:

    • Initial screening assay to identify potential ADA-positive samples

    • Confirmatory assay to verify positive results

    • Characterization of positive samples (titer determination, neutralizing activity)

  • Data Structure and Management:

    • Map raw ADA data into standardized formats (e.g., SDTM IS domain)

    • Include appropriate metadata to track sample progression through testing tiers

    • Document assay cutpoints and decision criteria

  • Analysis and Interpretation:

    • Evaluate impact of ADAs on pharmacokinetic parameters (Cmax, AUC)

    • Distinguish between neutralizing (active site binding) and non-neutralizing (non-active region binding) antibodies

    • Correlate ADA development with efficacy outcomes and safety signals

Table 1: Effect of ADA Binding on Pharmacokinetic Parameters

ADA TypeEffect on CmaxEffect on AUCClinical Significance
None (no ADA)HighestLargestNormal ADME process
Non-neutralizingSlightly decreasedModerately decreasedMinimal impact on efficacy
NeutralizingSignificantly decreasedSubstantially decreasedPotentially reduced efficacy

This methodological framework enables researchers to thoroughly characterize immunogenicity profiles and their potential impact on therapeutic outcomes .

How do FAP-targeted antibody therapies mechanistically affect the tumor microenvironment?

FAP-targeted antibodies operate through complex mechanisms that extend beyond simple CAF depletion:

  • Direct Elimination Mechanisms:

    • Antibody-drug conjugates selectively bind FAP-expressing CAFs

    • Payload delivery (e.g., MMAE) induces cell death in targeted populations

    • Reduction in FAP-expressing CAFs disrupts cellular crosstalk within the tumor microenvironment

  • Inflammatory Modulation:

    • FAP-targeting leads to increased secretion of proinflammatory cytokines (IL6, IL8) by remaining CAFs

    • Enhanced expression of proinflammatory genes in cancer cells

    • Increased production of CSF1, which affects myeloid recruitment and differentiation

  • Immunomodulatory Effects:

    • Disruption of CAF-mediated immunosuppression

    • Potential enhancement of immune cell infiltration

    • Alteration of extracellular matrix composition due to reduced FAP protease activity

These mechanisms highlight that FAP-targeted therapies operate principally by reshaping the immune microenvironment rather than simply eliminating CAFs, providing researchers with important insights for developing stromal-targeted therapeutic strategies.

What methodological considerations are essential when characterizing antibody specificity for novel targets?

Comprehensive antibody characterization requires systematic methodology addressing multiple dimensions of specificity:

  • Cross-Reactivity Assessment:

    • Test against related protein family members

    • Evaluate species cross-reactivity (human, mouse, rat)

    • Analyze potential off-target binding through immunoprecipitation followed by mass spectrometry

  • Epitope Mapping:

    • Perform epitope binning using techniques like surface plasmon resonance

    • Employ peptide arrays or hydrogen-deuterium exchange mass spectrometry

    • Validate epitope accessibility in native protein conformations

  • Functional Validation:

    • Assess antibody effects on target protein function (e.g., enzymatic activity inhibition)

    • Determine binding affinity and kinetics (kon/koff rates)

    • Evaluate performance in multiple application contexts (Western blot, IHC, flow cytometry)

This systematic approach ensures that antibodies used in research applications are well-characterized and appropriate for their intended experimental purpose.

How can researchers overcome common challenges in antibody-based detection methods?

Overcoming technical challenges in antibody-based experiments requires systematic troubleshooting strategies:

  • High Background Signal:

    • Implement more stringent blocking protocols (5% BSA or specialized blocking reagents)

    • Increase washing duration and frequency

    • Titrate primary antibody to lower concentrations

    • Test alternative secondary antibodies with fewer cross-reactivities

  • Weak or Absent Signal:

    • Optimize antigen retrieval methods (for fixed tissues/cells)

    • Increase antibody concentration or incubation time

    • Enhance detection systems (HRP-polymer vs. standard secondary)

    • Confirm target protein expression in positive control samples

  • Inconsistent Results:

    • Standardize lysate preparation protocols

    • Implement internal loading controls

    • Maintain consistent incubation temperatures

    • Use automated systems where possible to reduce operator variability

These methodological refinements address the most common obstacles encountered in antibody-based research applications.

What considerations should guide antibody selection for multiplex immunoassays?

Multiplexed antibody assays require careful selection criteria to ensure compatibility and reliable results:

  • Antibody Compatibility:

    • Select antibodies raised in different host species to avoid secondary antibody cross-reactivity

    • Confirm antibodies recognize non-overlapping epitopes if targeting the same protein

    • Verify compatibility of fixation and permeabilization requirements

  • Signal Separation:

    • Choose fluorophores with minimal spectral overlap

    • Implement appropriate compensation controls

    • Consider quantum yield and brightness when matching fluorophores to target abundance

  • Validation for Multiplex Context:

    • Validate each antibody individually before combining

    • Compare multiplex results to single-plex controls

    • Assess potential interactions between detection reagents

These methodological considerations maximize the reliability of multiplex immunoassays while minimizing false positives and negatives that can arise from antibody interactions.

How are emerging antibody engineering techniques advancing targeted therapeutic development?

Recent advances in antibody engineering are transforming therapeutic development through several key methodological approaches:

  • Site-Specific Conjugation:

    • Engineered cysteine residues for defined conjugation sites

    • Incorporation of non-natural amino acids for click chemistry

    • Enzymatic approaches for controlled modification

  • Novel Payload Strategies:

    • Development of cleavable linkers responsive to tumor microenvironment

    • Exploration of alternative payloads beyond cytotoxic agents

    • Dual-payload antibodies for synergistic therapeutic effects

  • Structure-Guided Optimization:

    • Computational modeling of antibody-target interactions

    • Framework modifications to enhance stability and reduce immunogenicity

    • Fc engineering to modulate effector functions and half-life

These technological advances are enabling more precise control over antibody properties, improving therapeutic index and expanding the range of addressable targets.

What methodological approaches are advancing antibody-based imaging techniques?

Antibody-based imaging represents a rapidly evolving field with several promising methodological directions:

  • Pretargeting Strategies:

    • Administration of bispecific antibodies that bind both target and subsequently administered imaging agent

    • Use of click chemistry for in vivo conjugation

    • Implementation of enzyme-mediated coupling systems

  • Novel Detection Modalities:

    • Integration with optoacoustic imaging technologies

    • Development of antibody-nanoparticle conjugates for multimodal imaging

    • Application of long-wavelength fluorophores for enhanced tissue penetration

  • Miniaturized Antibody Formats:

    • Single-domain antibodies for improved tissue penetration

    • Engineered fragments with optimized pharmacokinetics

    • Bispecific constructs for simultaneous targeting of multiple epitopes

These approaches are expanding the utility of antibody-based imaging for both research and clinical applications, enabling increasingly sensitive and specific detection of molecular targets in complex biological systems.

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