CDCP1 Antibody

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Product Specs

Buffer
The antibody is provided as a liquid solution in phosphate-buffered saline (PBS) containing 50% glycerol, 0.5% bovine serum albumin (BSA), and 0.02% sodium azide as a preservative.
Form
Liquid
Lead Time
Typically, we can ship your order within 1-3 business days after receiving it. The delivery time may vary depending on your chosen shipping method and location. Please consult your local distributors for specific delivery times.
Synonyms
9030022E12Rik antibody; AA409659 antibody; CD 318 antibody; CD_antigen=CD318 antibody; CD318 antibody; CD318 antigen antibody; CDCP 1 antibody; Cdcp1 antibody; CDCP1_HUMAN antibody; CUB domain containing protein 1 antibody; CUB domain-containing protein 1 antibody; E030027H19Rik antibody; FLJ13772 antibody; FLJ22375 antibody; FLJ22969 antibody; Membrane glycoprotein gp140 antibody; MGC31813 antibody; OTTHUMP00000164120 antibody; OTTHUMP00000209568 antibody; RGD1305578 antibody; SIMA 135 antibody; SIMA135 antibody; Subtractive immunization M plus HEp3 associated 135 kDa protein antibody; Subtractive immunization M plus HEp3-associated 135 kDa protein antibody; Transmembrane and associated with src kinases antibody; TRASK antibody
Target Names
Uniprot No.

Target Background

Function
CDCP1 (CUB domain-containing protein 1) is a transmembrane protein that is implicated in cell adhesion and interactions with the extracellular matrix. It may play a role in regulating the balance between cell adhesion and migration, as well as proliferation and differentiation through its phosphorylation. CDCP1 has emerged as a potential marker for leukemia diagnosis and for identifying immature hematopoietic stem cell subsets. It belongs to the tetraspanin web, a group of proteins involved in tumor progression and metastasis.
Gene References Into Functions
  1. Treatment of KLM1-R cells with AHCC (active hexose correlated compound) led to a reduction in CDCP1 expression, while actin expression remained unaffected. The CDCP1/actin intensity ratio was significantly reduced (p<0.05) in AHCC-treated cells compared to untreated cells. PMID: 30396925
  2. Co-expression of CDCP1 and AXL is frequently observed in EGFR-mutation-positive tumors, potentially hindering the effectiveness of EGFR tyrosine kinase inhibitors (TKIs). Combined treatment with EGFR TKIs and TPX-0005 warrants further investigation. PMID: 29433983
  3. CDCP1 knockdown significantly reduced 3D invasion in vitro, an effect that could be reversed by simultaneous ACSL3 knockdown. In vivo studies using engineered blocking fragments targeting the extracellular domain of cleaved CDCP1 demonstrated increased lipid droplet abundance in primary tumors, decreased metastasis, and increased ACSL activity in two animal models of triple-negative breast cancer (TNBC). PMID: 28739932
  4. These findings revealed that ADAM9 downregulates miR-1 via activation of EGFR signaling pathways, which in turn upregulates CDCP1 expression and promotes lung cancer progression. PMID: 28537886
  5. CDCP1 serves as a novel marker for the most aggressive N-positive (lymph node involvement) triple-negative breast cancers. CDCP1 expression and amplifications in CDCP1 copy number synergized with nodal status in determining disease-free and distant disease-free survival. PMID: 27626701
  6. High levels of CDCP1 expression have been correlated with tumor recurrence in glioblastoma. PMID: 26956052
  7. These studies hold significant implications for the development of therapeutic strategies aimed at inhibiting CDCP1 activity and consequently reducing metastasis in TNBC. PMID: 26876198
  8. CDCP1 may facilitate a loss of cell adhesion by promoting activation of EGFR and Src kinases at sites of cell-cell and cell-substratum contact. PMID: 27495374
  9. Research has investigated stromal expression patterns for both ADAM12 and CDCP1. PMID: 27685922
  10. Studies have demonstrated that HIF-2alpha can promote hepatocellular carcinoma cell migration by regulating CDCP1 expression. PMID: 26307391
  11. Findings indicate that differential glycosylation, cell surface presentation, and extracellular expression of CDCP1 are characteristic features of prostate cancer progression. PMID: 26497208
  12. High CDCP1 expression has been associated with colorectal cancer. PMID: 25820997
  13. ADAM9 enhances CDCP1 protein expression by suppressing miR-218, contributing to lung tumor metastasis. PMID: 26553452
  14. Elevated CDCP1 levels were observed in 77% of high-grade serous carcinoma (HGSC) cases. Silencing of CDCP1 reduced migration and non-adherent cell growth in vitro and tumor burden in vivo. PMID: 26882065
  15. CDCP1 protein plays a significant role in the progression of ovarian clear cell carcinoma. Elevated CDCP1 levels are associated with poor patient outcomes in individuals with ovarian clear cell carcinoma. PMID: 25893298
  16. CDCP1 overexpression enhances HER2 activity. CDCP1 interacts with HER2, promoting SRC-HER2 crosstalk. PMID: 25892239
  17. Multiple tyrosine phosphorylation sites on CDCP1 are crucial for the functional regulation of Src family kinases in various tumor types. PMID: 25728678
  18. These data suggest that CDCP1 expression can be used to identify a subset of marrow fibroblasts that are functionally distinct from CD146+ fibroblasts. PMID: 25275584
  19. The objective of this study was to examine whether activation of Trask (another name for CDCP1) might be crucial in brain metastasis of lung cancers, the most common site of organ spread and associated with the most severe consequences. PMID: 25775948
  20. Decreased CDCP1 expression promoted the invasive and migratory capabilities of esophageal cancer cell lines. PMID: 24849519
  21. CDCP1 protein induced by oncogenic Ras/Erk signaling is essential for Ras-mediated metastatic potential of cancer cells. PMID: 24939643
  22. CDCP1 modulates cell-substratum adhesion and motility in colon cancer cell lines. PMID: 25301083
  23. EGF increases the lifespan of CDCP1, promoting its availability on the cell surface where it can mediate pro-cancer phenotypes such as cell migration. PMID: 24681947
  24. CDCP1 is a crucial regulator of the trafficking and function of MT1-MMP (membrane type 1 matrix metalloproteinase) and invadopodia-mediated invasion of cancer cells. PMID: 23439492
  25. CDCP1 represses the epithelial phenotype of pancreatic cancer cells. PMID: 24384474
  26. Complexing of beta1 integrin (the 70-kDa) with a CDCP1 fragment induced intracellular phosphorylation signaling, involving focal adhesion kinase-1 (FAK) and PI3 kinase (PI3K)-dependent Akt activation. PMID: 23208492
  27. Expression and phosphorylation of exogenous CDCP1 by Fyn kinase reduced the formation of autophagosomes. PMID: 23510015
  28. In migrating cancer stem cells isolated from primary human colorectal cancers, CD110(+) and CDCP1(+) subpopulations mediate organ-specific lung and liver metastasis. PMID: 23747337
  29. CDCP1 is strongly expressed in tumors derived from the lung, colon, ovary, or kidney. For full transformation capacity, the intact amino- and carboxy-termini of CDCP1 are essential. PMID: 23300860
  30. These data support a critical role for CDCP1 as a unique HIF-2alpha target gene involved in the regulation of cancer metastasis. PMID: 23378636
  31. Secreted CDCP1 may serve as a valuable genetic marker for the diagnosis of metastatic prostate cancer. PMID: 22457534
  32. Research reveals a novel role for CDCP1 in EGF/EGFR-induced cell migration, suggesting that targeting CDCP1 could be a rational strategy to inhibit the progression of cancers driven by EGFR signaling. PMID: 22315226
  33. Data indicate that the signaling events accompanying CDCP1 tyrosine phosphorylation observed in cell lines and lung tumors may explain how the CDCP1/SFK (Src family kinase) complex regulates motility and adhesion. PMID: 21725358
  34. Trask is considered one of several potential candidates for functionally relevant tumor suppressors on the 3p21.3 region of the genome, which is frequently lost in human cancers. PMID: 21706059
  35. Studies have analyzed cellular settings mediating Src substrate switching between focal adhesion kinase tyrosine 861 and CUB domain-containing protein 1 (CDCP1) tyrosine 734. PMID: 21994943
  36. CDCP1 is selectively expressed in ovarian tumor vasculature. PMID: 21617380
  37. CUB domain-containing protein 1 (CDCP1) is a substrate of Src family kinases and has been shown to regulate anoikis resistance (resistance to cell death induced by detachment from the extracellular matrix), migration, and matrix degradation during tumor invasion and metastasis in a tyrosine phosphorylation-dependent manner. Review. PMID: 21812858
  38. Research has focused on analyzing structural features of Trask that mediate its anti-adhesive functions. PMID: 21559459
  39. Src-Trask signaling and Src-focal adhesion signaling inactivate each other, constituting two opposing modes of phosphotyrosine signaling that define a switch underlying cell anchorage state. PMID: 21490433
  40. Data provide molecular mechanisms for the metastasis-enhancing functions of CDCP1. PMID: 21220330
  41. Signal transduction from CDCP1 to PKCdelta (protein kinase C delta) leads to its activation, increasing migration of clear cell renal cell carcinoma (CC-RCC). Furthermore, patient survival can be stratified by CDCP1 expression at the cell surface of the tumor. PMID: 21233420
  42. Trask signaling and focal adhesion signaling inactivate each other and signal in exclusion with each other, constituting a switch that underlies cell anchorage state. PMID: 21189288
  43. The biological role of this protein and, potentially, its function in cancer, may be mediated by both 70-kDa cell-retained and 65-kDa shed fragments, as well as the full-length 135-kDa protein. PMID: 20551327
  44. Overexpression of CDCP1 is associated with pancreatic cancers. PMID: 20501830
  45. In endometrioid adenocarcinoma, low CDCP1 expression and advanced stage were independent poor prognostic factors for both overall and disease-free survival. PMID: 20372833
  46. Findings indicate a functional role for CDCP1 in cancer and highlight the therapeutic potential of function-blocking anti-CDCP1 antibodies targeting both primary and metastatic carcinoma cells. PMID: 19916495
  47. Antibodies generated by subtractive immunization were used to purify, identify, and partially characterize SIMA135/CDCP1; its properties indicate that it is a multidomain cell surface antigen highly expressed by certain cancer cells and normal and cancerous colon. PMID: 12660814
  48. Tyrosine phosphorylation of CDCP1 is regulated by adhesion or plasmin in epithelial cells. PMID: 14739293
  49. CDCP1 is not only a novel marker for immature hematopoietic progenitor cell subsets but also unique in its ability to recognize cells with phenotypes reminiscent of mesenchymal stem cells (MSCs) and neural progenitor cells (NPCs). PMID: 15153610
  50. When the CDCP1 promoter was transfected exogenously into Jurkat cells, it showed comparable promoter activity to K562 cells, suggesting that the factor required to enhance transcription was present in Jurkat cells but interfered with its function. PMID: 16926850

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Database Links

HGNC: 24357

OMIM: 611735

KEGG: hsa:64866

STRING: 9606.ENSP00000296129

UniGene: Hs.476093

Subcellular Location
[Isoform 1]: Cell membrane; Single-pass membrane protein. Note=Shedding may also lead to a soluble peptide.; [Isoform 3]: Secreted.
Tissue Specificity
Highly expressed in mitotic cells with low expression during interphase. Detected at highest levels in skeletal muscle and colon with lower levels in kidney, small intestine, placenta and lung. Up-regulated in a number of human tumor cell lines, as well a

Q&A

What is CDCP1 and why is it a significant target in cancer research?

CDCP1 (CUB-domain-containing protein 1) is a transmembrane glycoprotein that plays a crucial role in cellular signaling, particularly in processes related to cell adhesion and migration. It is primarily located in the plasma membrane, where its three extracellular CUB domains facilitate interactions with other proteins and extracellular matrix components . CDCP1 has gained significant attention in cancer research due to its elevated expression in multiple cancer types, including breast, colon, pancreatic, ovarian, and lung cancers .

The significance of CDCP1 as a cancer target stems from several key characteristics:

  • It is highly expressed in metastatic colon and breast tumors but has restricted expression in normal human tissues, making it an ideal candidate for targeted therapies .

  • It functions as an important hub of oncogenic signaling, particularly through its interactions with Src family kinases .

  • Its phosphorylation at specific tyrosine residues, including Tyr 734, enhances signaling capabilities that impact tumor progression .

  • Its expression increases in metastatic lesions compared to primary tumors in some cancer types, suggesting a role in cancer progression and metastasis .

These characteristics make CDCP1 not only a potential biomarker for cancer detection but also a promising therapeutic target for antibody-based treatments, including antibody-drug conjugates (ADCs) .

What detection methods are available for CDCP1 expression in research samples?

Researchers have several validated methods for detecting CDCP1 expression in various sample types:

Protein Detection Methods:

  • Western Blotting (WB): Effective for detecting both the 135 kDa full-length CDCP1 (CDCP1-FL) and the 70 kDa C-terminal fragment (CDCP1-CTF) . The choice of antibody is critical, as some (like antibody 4115) target the intracellular carboxyl-terminal region and can detect both forms, while others may be specific to certain domains .

  • Immunohistochemistry (IHC): Used extensively for evaluating CDCP1 expression in tumor tissues. In clinical studies, IHC has been employed to assess CDCP1 expression in over 300 samples from six types of cancer .

  • Immunofluorescence (IF): Allows visualization of CDCP1 localization within cells and tissues .

  • Flow Cytometry: Enables quantification of cell surface CDCP1 levels, which has been shown to correlate with sensitivity to anti-CDCP1 ADCs. Studies have determined that approximately 5×10⁴ anti-CDCP1 antibodies bound per cell represents a threshold for predicting anti-CDCP1 ADC efficacy .

  • Enzyme-Linked Immunosorbent Assay (ELISA): Provides quantitative measurement of CDCP1 in solution .

Molecular Detection Methods:

  • RT-PCR and qPCR: For quantification of CDCP1 mRNA expression.

  • Transcriptomic Analysis: Large-scale analyses have been used to evaluate CDCP1 mRNA expression across 23 types of cancer and normal tissues .

When selecting detection methods, researchers should consider both the sensitivity requirements and the specific form of CDCP1 they wish to detect (full-length vs. cleaved fragment), as these factors will influence the choice of antibody and detection technique.

How does CDCP1 expression vary across different cancer types?

CDCP1 expression shows distinctive patterns across cancer types, with important implications for its potential as a therapeutic target:

Expression in Breast Cancer:

  • Present in approximately 70% of triple-negative breast cancers (TNBCs)

  • Expressed in 80% of HER2-positive tumors

  • In ER+/HER2- tumors, expression increases from 44.9% in primary tumors to 56.4% in lymph node metastases and 74.3% in distant metastases

Expression in Other Cancer Types:

  • Analysis of CDCP1 expression across multiple cancer types revealed elevated levels in the majority of cancers examined

  • Particularly high expression has been noted in:

    • Ovarian clear cell carcinoma

    • High-grade serous ovarian carcinoma

    • Pancreatic ductal adenocarcinoma (PDAC)

    • Prostate cancer

    • Colorectal cancer

    • Lung cancer

    • Kidney cancer

Expression in Cell Lines:

  • Studies have characterized CDCP1 expression in at least 49 cancer cell lines

  • PDAC cell lines typically show the highest levels of cell surface CDCP1

  • Some cell lines express only full-length CDCP1-FL (e.g., A498, 786-O, A549, HT29)

  • Others express a mixture of CDCP1-FL and CDCP1-CTF (e.g., DU145, EBC-1, HCT116)

  • Some express only the cleaved fragment CDCP1-CTF (e.g., TKCC05)

The heterogeneity in CDCP1 expression patterns both between and within cancer types suggests that patient selection strategies based on CDCP1 expression levels will be crucial for the successful clinical application of CDCP1-targeted therapies.

What are the current approaches for developing CDCP1-targeted antibody-drug conjugates?

Development of CDCP1-targeted antibody-drug conjugates (ADCs) represents a rapidly advancing area of research with several sophisticated approaches:

Antibody Engineering and Selection:

  • Multiple anti-CDCP1 antibodies have been developed and characterized, including mouse monoclonal (10D7), human/mouse chimeric (ch10D7), and fully human antibodies (4A06, IgG-CL03) .

  • Chimeric antibody development has been employed to reduce immunogenicity while maintaining binding affinity. For example, ch10D7 was created by engineering murine variable heavy (VH) and light (VL) chains onto a human IgG1κ backbone, resulting in an antibody that maintains the binding kinetics of the parent murine antibody .

  • Surface plasmon resonance (SPR) spectroscopy has been used to determine binding kinetics and affinity (KD) of antibodies to recombinant CDCP1 extracellular domain (CDCP1-ECD) .

Payload Selection and Conjugation:

  • Monomethyl auristatin E (MMAE), a potent microtubule disruptor, has been successfully conjugated to anti-CDCP1 antibodies including ch10D7 .

  • Radioactive isotopes such as 89Zirconium and 177Lutetium have been conjugated to anti-CDCP1 antibodies for imaging and radio-ligand therapy applications, respectively .

Internalization and Trafficking Studies:

  • Anti-CDCP1 antibodies (ch10D7 and 10D7) have been shown to induce signaling via Src accompanied by rapid internalization of antibody-CDCP1 complexes in cancer cells .

  • Extended exposure to these antibodies results in significant reduction of CDCP1 expression after 24 hours and complete loss after 48 hours, with receptor re-expression occurring within 24-48 hours after antibody withdrawal .

Efficacy Assessment:

  • In vitro cytotoxicity assays across multiple cell lines have demonstrated a correlation between CDCP1 expression levels and sensitivity to anti-CDCP1 ADCs, with a threshold of approximately 5×10⁴ anti-CDCP1 antibodies bound per cell suggested as a minimum for predicting efficacy .

  • Combination studies with other targeted therapies, such as HER2-targeting ADC T-DM1, have shown enhanced efficacy against CDCP1+/HER2+ tumors compared to either agent alone .

These multifaceted approaches to CDCP1-targeted ADC development highlight the complexity of the field and the important considerations for researchers pursuing this therapeutic strategy.

How can CDCP1 antibodies be utilized for in vivo imaging of tumors?

CDCP1 antibodies have demonstrated significant potential for in vivo imaging of various cancer types, with several approaches showing promise in preclinical models:

Radiolabeling Strategies:

  • 89Zirconium (89Zr) Labeling: Multiple studies have successfully conjugated 89Zr to anti-CDCP1 antibodies, including ch10D7 and 4A06, for positron emission tomography-computed tomography (PET-CT) imaging .

  • The 89Zr-labeled antibodies have shown strong accumulation in CDCP1-expressing tumors, enabling effective detection of both primary and metastatic lesions .

Preclinical Imaging Applications:

  • Detection of Primary Tumors: PET-CT imaging with 89Zr-ch10D7 has been effective for the detection of primary CDCP1-expressing triple-negative breast cancers (TNBCs) in mouse models .

  • Metastasis Detection: The same imaging approach has successfully visualized metastatic TNBC lesions in preclinical models .

  • Pancreatic Cancer Imaging: 89Zr-labeled antibody IgG-CL03, directed against the CDCP1-ATF region proximal to protease cleavage sites at 368Arg and 369Lys, demonstrated strong accumulation in subcutaneous xenografts of PDAC PL5 cells in mice .

  • Prostate Cancer Visualization: Antibody A406 effectively delivered 89Zr for detection of CDCP1-expressing prostate cancer xenografts .

Methodological Considerations:

  • Antibody Selection: The choice of antibody (whole IgG vs. fragments) affects pharmacokinetics, tumor penetration, and blood clearance, which in turn influence imaging timing and quality.

  • Optimal Imaging Windows: Researchers should consider the time required for sufficient tumor accumulation versus background clearance when designing imaging protocols with radiolabeled antibodies.

  • Quantification Approaches: Standardized uptake values (SUVs) or tumor-to-background ratios can be used to quantify CDCP1 expression levels from imaging data.

  • Correlation with Expression: Imaging signal intensity should be validated against ex vivo CDCP1 expression analysis to confirm specificity and establish thresholds for detection.

These imaging approaches not only provide a means for non-invasive detection of CDCP1-expressing tumors but may also serve as companion diagnostics to identify patients most likely to benefit from CDCP1-targeted therapies.

What is known about the signaling mechanisms of CDCP1 and how do antibodies modulate these pathways?

Understanding CDCP1 signaling mechanisms and their modulation by antibodies is essential for developing effective targeted therapies:

CDCP1 Signaling Pathways:

  • Src Family Kinase (SFK) Activation: CDCP1 interacts with and activates SFKs, particularly through phosphorylation at tyrosine residues including Tyr 734 .

  • Downstream Effectors: Activated CDCP1 influences multiple downstream pathways involved in cell adhesion, migration, survival, and proliferation.

  • Proteolytic Processing: CDCP1 can undergo proteolytic cleavage at sites 368Arg and 369Lys, generating a 70 kDa C-terminal fragment (CDCP1-CTF) that may have distinct signaling properties compared to the 135 kDa full-length protein (CDCP1-FL) .

Antibody-Mediated Modulation:

  • Signaling Induction: Anti-CDCP1 antibodies like ch10D7 and 10D7 can initially induce CDCP1 signaling, as evidenced by increased phosphorylation of CDCP1-Y734 and Src-Y416 within 15-30 minutes of treatment .

  • Signal Attenuation: Following initial activation, extended exposure to these antibodies leads to reduction in phosphorylated CDCP1-Y734 and Src-Y416 by 3 hours, with complete loss by 8 hours .

  • Receptor Degradation: Prolonged antibody treatment (24-48 hours) results in significant reduction and eventual complete loss of CDCP1 expression, consistent with antibody-induced receptor degradation .

  • Reversibility: After antibody withdrawal, CDCP1 re-expression begins within 24 hours and returns to control levels by 48 hours post-withdrawal .

Cell-Type Specificity:

  • The impact of anti-CDCP1 antibodies on receptor levels varies across cancer types, with studies demonstrating antibody-induced CDCP1 loss in multiple cell lines from kidney, prostate, lung, colorectal, pancreatic, and ovarian cancers .

  • This effect occurs regardless of whether cells express only CDCP1-FL, a mixture of CDCP1-FL and CDCP1-CTF, or only CDCP1-CTF .

The ability of anti-CDCP1 antibodies to modulate receptor signaling and induce receptor degradation has significant implications for therapeutic approaches. These mechanisms contribute to the anti-cancer effects of naked antibodies and provide rationale for developing antibody-drug conjugates that can deliver cytotoxic payloads following receptor-mediated internalization.

What methods are optimal for evaluating CDCP1 antibody specificity and binding characteristics?

Rigorous evaluation of CDCP1 antibody specificity and binding characteristics is crucial for research applications and therapeutic development:

Surface Plasmon Resonance (SPR) Spectroscopy:

  • SPR represents the gold standard for determining antibody binding kinetics and affinity. Studies with ch10D7 and 10D7 antibodies used SPR to measure association (ka) and dissociation (kd) rates to calculate binding affinity (KD) to recombinant CDCP1 extracellular domain (CDCP1-ECD) .

  • This technique provides quantitative measurements of antibody-antigen interactions in real-time without labeling, offering insights into both the strength and stability of binding.

Flow Cytometry-Based Assessment:

  • Competitive Binding Assays: These assays evaluate specificity by determining if unlabeled competing antibodies can block the binding of fluorescently labeled antibodies to CDCP1-expressing cells. For example, studies showed that ch10D7-550 and 10D7-550 were unable to bind to CDCP1-expressing cells when binding sites were saturated with 10-fold excess of unlabeled competing antibody .

  • Quantitative Analysis: Flow cytometry can determine the number of antibodies bound per cell, which has been shown to correlate with sensitivity to anti-CDCP1 ADCs. Studies have established approximately 5×10⁴ anti-CDCP1 antibodies bound per cell as a threshold for predicting anti-CDCP1 ADC efficacy .

Immunoprecipitation and Western Blotting:

  • These techniques confirm antibody specificity by demonstrating selective pull-down and detection of CDCP1 protein.

  • Western blotting can differentiate between antibodies that recognize full-length CDCP1-FL (135 kDa), the C-terminal fragment CDCP1-CTF (70 kDa), or both forms .

Immunohistochemistry and Immunofluorescence:

  • These methods evaluate antibody specificity in tissue sections and cellular localization.

  • Controls should include CDCP1-negative tissues/cells and competitive blocking with recombinant CDCP1 protein.

Epitope Mapping:

  • Techniques such as hydrogen-deuterium exchange mass spectrometry (HDX-MS), X-ray crystallography, or binding to truncated/mutated CDCP1 constructs can identify the specific regions or amino acids recognized by the antibody.

  • Understanding the epitope is particularly important as it may influence antibody function, including receptor internalization and signaling modulation.

When evaluating CDCP1 antibodies, researchers should employ multiple complementary methods to comprehensively characterize specificity and binding, as each technique provides different aspects of antibody-antigen interactions.

What are the key considerations for designing CDCP1 antibody-drug conjugate efficacy studies?

Designing robust efficacy studies for CDCP1 antibody-drug conjugates (ADCs) requires careful consideration of several key factors:

Model Selection:

  • Cell Line Diversity: Include multiple cell lines with varying CDCP1 expression levels to establish correlations between expression and efficacy. Studies have shown that cell lines with fewer than 5×10⁴ anti-CDCP1 antibodies bound per cell are largely unresponsive to ch10D7-MMAE, suggesting this as a lower limit to predict anti-CDCP1 ADC efficacy .

  • Patient-Derived Xenografts (PDXs): These models better represent tumor heterogeneity and have been successfully used to evaluate anti-CDCP1 ADCs. In combination with HER2-targeting ADC T-DM1, CDCP1-targeting ADCs demonstrated marked reduction in tumor burden of CDCP1+/HER2+ xenografts compared to either agent alone .

  • Metastatic Models: Since CDCP1 expression increases in metastatic lesions of some cancers, metastatic models provide valuable insights into ADC efficacy against advanced disease .

Efficacy Parameters:

  • In Vitro Assessment:

    • Determine IC50 values across multiple cell lines

    • Evaluate mechanism of cell death (apoptosis vs. other pathways)

    • Assess impact on cell cycle and proliferation

  • In Vivo Assessment:

    • Tumor growth inhibition

    • Survival advantage compared to standard chemotherapy

    • Biomarker modulation (e.g., phosphorylated CDCP1 and SFK levels)

    • Impact on metastatic burden

Control and Comparison Arms:

  • Include appropriate controls such as:

    • Naked antibody (without toxin conjugation)

    • Non-targeting ADC with the same linker-payload

    • Standard chemotherapy agents

    • Other targeted therapies relevant to the cancer type

  • Combination studies:

    • For HER2+ cancers, combination with T-DM1 has shown superior efficacy compared to either agent alone

    • Other potential combinations should be explored based on cancer type and molecular characteristics

Pharmacokinetic/Pharmacodynamic (PK/PD) Considerations:

  • Evaluate ADC stability and payload release kinetics

  • Assess tumor penetration and accumulation using imaging techniques

  • Determine optimal dosing schedule based on PK/PD relationships

  • Monitor CDCP1 receptor dynamics, as studies show that antibody exposure leads to receptor degradation within 24-48 hours, with re-expression occurring after antibody withdrawal

Toxicity Assessment:

  • Evaluate on-target/off-tumor effects based on CDCP1 expression in normal tissues

  • Assess toxicities related to the payload mechanism

  • Determine maximum tolerated dose (MTD) and therapeutic window

By addressing these key considerations, researchers can design comprehensive efficacy studies that not only evaluate the potential of CDCP1-targeted ADCs but also inform future clinical development strategies.

How can researchers troubleshoot variability in CDCP1 antibody performance across different experimental systems?

Variability in CDCP1 antibody performance across experimental systems is a common challenge that requires systematic troubleshooting approaches:

Antibody Characterization and Quality Control:

  • Batch-to-Batch Variation: Establish quality control protocols to ensure consistent antibody production and performance, including affinity testing via SPR and functional assays.

  • Storage and Handling: Improper storage can lead to antibody degradation and reduced activity. Follow manufacturer recommendations for temperature, buffer conditions, and avoid repeated freeze-thaw cycles.

  • Antibody Format: Consider whether the native antibody or various conjugated forms (HRP, FITC, PE, Alexa Fluor conjugates) are appropriate for specific applications. Santa Cruz Biotechnology's CDCP1 Antibody (D-1) is available in multiple formats that may perform differently across experimental systems .

CDCP1 Expression and Processing Variability:

  • Full-Length vs. Cleaved Forms: Some cell lines express only full-length CDCP1-FL (135 kDa), others express a mixture of CDCP1-FL and CDCP1-CTF (70 kDa), and some express only CDCP1-CTF . Ensure your antibody recognizes the appropriate form(s) present in your experimental system.

  • Expression Level Quantification: Use flow cytometry to quantify cell surface CDCP1 levels, as this has been shown to correlate with sensitivity to anti-CDCP1 ADCs. Cell lines with fewer than 5×10⁴ anti-CDCP1 antibodies bound per cell may show minimal response .

  • Dynamic Regulation: CDCP1 expression can be dynamically regulated. Following antibody treatment, CDCP1 levels can decrease significantly within 24-48 hours but return to baseline 48 hours after antibody withdrawal . Consider these dynamics when designing experiments.

Experimental System Optimization:

  • Fixation and Permeabilization: For immunohistochemistry and immunofluorescence, optimize fixation conditions as over-fixation can mask epitopes while under-fixation may compromise tissue morphology.

  • Antigen Retrieval: Different tissues may require specific antigen retrieval methods. Systematically test heat-induced epitope retrieval (HIER) with various buffers (citrate, EDTA, Tris) and pH conditions.

  • Blocking Conditions: Optimize blocking buffers to minimize non-specific binding, which can vary across tissue types and cell lines.

  • Detection Systems: When transitioning between detection methods (e.g., from Western blot to IHC), optimize secondary antibodies and detection reagents for each system.

Controls for Troubleshooting:

  • Positive and Negative Controls: Include cell lines or tissues with known high or absent CDCP1 expression to validate antibody performance in each experiment.

  • Knockdown/Knockout Validation: CDCP1 knockdown or knockout samples provide definitive controls for antibody specificity.

  • Competing Peptide Controls: Pre-incubation of the antibody with recombinant CDCP1 protein or peptide should abolish specific staining.

  • Alternative Antibodies: When possible, confirm results using antibodies targeting different CDCP1 epitopes.

By systematically addressing these factors, researchers can identify sources of variability and develop standardized protocols that ensure consistent CDCP1 antibody performance across different experimental systems.

What emerging applications exist for CDCP1 antibodies in combination therapies?

CDCP1 antibodies show significant potential in combination therapeutic approaches, with several emerging applications based on recent preclinical findings:

Combination with HER2-Targeted Therapies:

  • The combination of CDCP1-targeting ADC (ch10D7-MMAE) with HER2-targeting ADC T-DM1 has demonstrated superior efficacy in CDCP1+/HER2+ cancer models compared to either agent alone .

  • In preclinical studies, this combination markedly reduced tumor burden of CDCP1+/HER2+ xenografts and prolonged mouse survival compared with T-DM1 or ch10D7-MMAE monotherapy .

  • This synergy is particularly relevant for HER2+ breast cancers, where approximately 80% of tumors also express CDCP1, providing a large potential patient population for this combination approach .

Rational Combinations Based on Signaling Pathway Interactions:

  • Since CDCP1 signaling involves Src family kinases, combinations with Src inhibitors might provide synergistic effects by simultaneously targeting the receptor and its downstream effectors.

  • The involvement of CDCP1 in cell adhesion and migration suggests potential combinations with other therapies targeting the tumor microenvironment or metastatic processes.

Multi-Modal Approaches Combining Imaging and Therapy:

  • The demonstrated utility of 89Zr-labeled anti-CDCP1 antibodies for imaging suggests theranostic applications where the same antibody can be used for both diagnosis and treatment .

  • Such approaches could involve initial imaging with 89Zr-labeled antibodies to identify patients with CDCP1-expressing tumors, followed by treatment with the same antibody conjugated to cytotoxic payloads.

  • Radio-ligand therapy using 177Lu-labeled anti-CDCP1 antibodies has shown efficacy in prostate cancer xenografts and could be combined with other treatment modalities .

Strategies to Address Resistance Mechanisms:

  • Given that prolonged antibody exposure leads to CDCP1 degradation followed by re-expression after antibody withdrawal , pulsed or cyclical treatment regimens might be more effective than continuous exposure.

  • Combination with agents that prevent receptor re-expression or that target alternative pathways activated during periods of CDCP1 downregulation could enhance therapeutic efficacy.

Immunotherapy Combinations:

  • Anti-CDCP1 ADCs might synergize with immune checkpoint inhibitors by enhancing tumor antigen release and immunogenic cell death.

  • The potential immunomodulatory effects of CDCP1 targeting merit investigation in combination with various immunotherapeutic approaches.

As these combination strategies move toward clinical development, careful consideration of dosing schedules, sequence of administration, and potential overlapping toxicities will be essential to maximize therapeutic benefit while minimizing adverse effects.

How might patient selection strategies evolve for CDCP1-targeted therapies?

Patient selection strategies for CDCP1-targeted therapies are likely to evolve in several sophisticated directions as our understanding of CDCP1 biology and clinical data accumulate:

Multi-Parameter Expression Analysis:

  • Beyond Simple Expression Levels: Future approaches will likely move beyond binary assessment of CDCP1 expression (positive/negative) to more nuanced quantitative evaluation. Studies have already established that approximately 5×10⁴ anti-CDCP1 antibodies bound per cell represents a threshold for predicting anti-CDCP1 ADC efficacy .

  • Form-Specific Assessment: Distinguishing between full-length CDCP1-FL (135 kDa) and the C-terminal fragment CDCP1-CTF (70 kDa) may become important, as some cell lines express only one form while others express both . The therapeutic implications of these different forms require further investigation.

  • Phosphorylation Status: Since phosphorylation at specific tyrosine residues (e.g., Tyr 734) enhances CDCP1 signaling capabilities , assessing phosphorylation status might provide additional stratification criteria.

Imaging-Based Selection:

  • PET-CT imaging with 89Zr-labeled anti-CDCP1 antibodies has demonstrated effectiveness for detecting CDCP1-expressing tumors in preclinical models . This approach could evolve into a clinical companion diagnostic to identify patients most likely to benefit from CDCP1-targeted therapies.

  • Quantitative imaging parameters, such as standardized uptake values (SUVs), could potentially establish thresholds for predicting response to therapy.

  • Whole-body imaging would also address the issue of heterogeneous CDCP1 expression between primary tumors and metastatic lesions, as observed in ER+/HER2- breast cancer where expression increases from 44.9% in primary tumors to 74.3% in distant metastases .

Integrated Biomarker Approaches:

  • Combining CDCP1 assessment with other molecular markers could enhance patient selection. For example, in HER2+ breast cancers, dual assessment of HER2 and CDCP1 could identify patients suitable for combination therapy with T-DM1 and anti-CDCP1 ADCs .

  • Genomic or transcriptomic signatures associated with CDCP1 dependence might emerge as additional selection tools.

  • Liquid biopsy approaches detecting circulating CDCP1 or CDCP1-expressing circulating tumor cells could provide less invasive means of patient selection and monitoring.

Adaptive Selection Strategies:

  • Given that CDCP1 expression can be dynamically regulated, with re-expression occurring after antibody withdrawal , sequential biopsies or imaging might be necessary to guide treatment schedules.

  • Changes in CDCP1 expression or signaling during disease progression or after prior therapies might identify new windows of opportunity for CDCP1-targeted interventions.

As CDCP1-targeted therapies advance through clinical development, these selection strategies will likely be refined based on correlations between biomarker data and clinical outcomes, ultimately leading to more personalized treatment approaches for cancer patients.

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