
GemPharmatech combines extensive tumor model resources with integrated in vitro, in vivo, bioanalytical, and translational capabilities to support ADC development from candidate characterization through efficacy, pharmacokinetics, combination strategies, and resistance evaluation.
Key Advantages
Integrated In Vitro ADC Characterization
Assessment of target expression, antibody binding, internalization, intracellular trafficking, payload sensitivity, cytotoxicity, mechanism of action, and in vitro bystander killing helps identify functionally responsive ADC candidates and tumor models early in development.
Extensive and Translational Model Resources
300+ CDX models and 1,000+ PDX models, together with syngeneic, target-humanized, immune-humanized, and heterogeneous tumor models, support ADC evaluation across diverse tumor indications, target-expression profiles, and immune backgrounds.
Informed Model and Indication Selection
Cross-model evaluation helps identify responsive tumor indications, characterize model-dependent sensitivity, optimize dose and dosing schedules, and select appropriate models for subsequent translational studies.
Advanced In Vivo ADC Evaluation
Integrated in vivo platforms support evaluation of dose response, comparator activity, tumor heterogeneity, in vivo bystander activity, response durability, pharmacokinetics, tumor distribution, and general tolerability.
Combination and Resistance Modeling
Immunocompetent and humanized models enable evaluation of an ADC in combination with immune checkpoint inhibitors. Primary poor-responder PDX models and acquired-resistance models, including JIMT-1–Enhertu-ER, further support strategies to overcome resistance.
Extensive ADC Project Experience
400+ ADC-related projects have been conducted across diverse targets, payload classes, tumor indications, model types, and stages of preclinical development.
ADC development requires more than isolated assay results — target expression, binding, internalization, payload sensitivity, in vivo efficacy, and tumor exposure must be evaluated together to understand why an ADC succeeds or fails.
GemPharmatech integrates in vitro characterization with translational in vivo models and bioanalysis, enabling clients to connect molecular and cellular activity with antitumor efficacy and pharmacokinetic behavior. This integrated approach supports more informed candidate selection, model selection, dose optimization, and development strategy.
Target and Model Selection
Characterization of antigen expression, target density, and tumor selectivity to identify appropriate cell lines and in vivo models.
Binding, Internalization, and Functional Activity
Evaluation of antibody binding, receptor-mediated internalization, intracellular trafficking, payload sensitivity, cytotoxicity, and mechanism of action.
Translational In Vivo Efficacy
Assessment of antitumor activity, dose response, comparator performance, and tolerability using CDX, PDX, syngeneic, and humanized models.
Pharmacokinetics and Tumor Distribution
Quantification of total antibody, conjugated ADC, and free payload in circulation and tumor tissue to support exposure–response interpretation.
Advanced ADC Evaluation
CDX, PDX, heterogeneous tumor, syngeneic, target-humanized, and immune-humanized models support evaluation of dose response, in vivo bystander activity, combination strategies, response durability, and primary or acquired resistance.
By connecting in vitro mechanism with in vivo efficacy and exposure, the platform supports:
Earlier selection of the most promising ADC candidates
Identification of relevant and responsive tumor models
Clarification of discrepancies between target expression and efficacy
Optimized dosing regimens
Investigation of mechanisms behind limited response or resistance
Reduced risk of advancing poorly characterized candidates

Figure 1. Target expression profiling and binding characterization of ABBV-399.
(A) Surface expression of c-Met was quantified across 12 human tumor cell lines by flow cytometry and reported as the percentage of positive cells and the estimated number of c-Met molecules per cell. (B) Concentration-dependent binding of ABBV-399, telisotuzumab, and an IgG1 isotype control was evaluated in SNU-5, Hs 746T, and NCI-H1650 cells by flow cytometry, with binding activity presented as mean fluorescence intensity (MFI).
c-Met expression varied substantially across the evaluated tumor cell lines, with SNU-5 and Hs 746T showing relatively high antigen density. ABBV-399 demonstrated concentration-dependent binding to all three selected c-Met-positive cell lines, with binding profiles comparable to those of the unconjugated c-Met antibody telisotuzumab.

Figure 2. Internalization kinetics of ABBV-399 in c-Met-positive tumor cells.
(A) Time-dependent internalization of ABBV-399 and telisotuzumab was assessed in Hs 746T, NCI-H441, and NCI-H1650 cells using pHrodo, a pH-sensitive fluorogenic dye that produces an increased fluorescent signal following trafficking into acidic intracellular compartments. Internalization is presented as pHrodo MFI. (B) Internalization rates were quantified at the indicated time points for each tumor cell line.
ABBV-399 showed time-dependent internalization in Hs 746T and NCI-H441 cells, with internalization profiles generally comparable to those of telisotuzumab. In contrast, only a limited internalization signal was detected in NCI-H1650 cells despite measurable surface binding. These findings indicate that antigen binding alone may not be sufficient to predict productive ADC uptake.
The huHSC-NCG mouse model is generated by transplanting human CD34⁺ hematopoietic stem cells (HSC) into sublethally irradiated immunodeficient NCG mice. This model enables the endogenous reconstitution of functional human immune cells, including T cells and immature B cells, with stable engraftment and extended survival period (>90% survival beyond 35 weeks). Owing to its robust and durable human immune system reconstitution, the huHSC-NCG model is widely applied in studies of B cell depletion, in vivo CAR-T biodistribution, as well as long-term toxicity and safety evaluation of in vivo CAR-T therapeutics.

Figure 3. Immune cell profiling in huHSC-NCG mice

Figure 4. NCG mouse survival after huHSC reconstitution
This model was applied successfully in the toxicity and safety evaluation of SYS6055, an in vivo CAR-T therapeutic developed by CSPC Pharmaceutical Group. In addition, the Center for Drug Evaluation (CDE) of the National Medical Products Administration has recognized PBMC- and HSC-humanized NCG mouse models as appropriate platforms for the non-clinical evaluation of in vivo CAR-T therapeutics, including studies conducted with clinical-grade materials.

(A) Female NCG mice bearing MDA-MB-468 tumor xenografts were treated intravenously with vehicle, the target ADC at 3 mg/kg, or an isotype ADC at 3 mg/kg. n = 3 mice per group.
(B) BALB/c nude mice bearing NCI-H1975 tumor xenografts were treated intravenously with vehicle, the target ADC at 3 mg/kg for two doses, or an isotype ADC at 3 mg/kg for two doses. n = 4 mice per group.
Tumor volumes were monitored throughout the respective study periods. Data are presented as mean ± SEM. Statistical comparisons at the final assessment time point were performed using two-tailed unpaired Welch’s t-tests versus the corresponding vehicle group. ns, not significant; *p < 0.05; ***p < 0.001.
The experimental ADC demonstrated marked antitumor activity in both MDA-MB-468 and NCI-H1975 CDX models. In the MDA-MB-468 model, the targeted ADC produced substantially greater tumor growth inhibition (TGI) than the isotype ADC administered at the same dose, supporting target-dependent activity. In the NCI-H1975 model, repeated administration of the targeted ADC resulted in sustained tumor growth inhibition, while the isotype ADC showed only partial inhibition. Together, these data demonstrate that CDX models can support confirmation of target-dependent efficacy across different tumor types and mouse backgrounds. Inclusion of an isotype ADC control also helps distinguish target-mediated activity from nonspecific effects associated with the ADC format or payload.

(A) BALB/c nude mice bearing SNU-5 xenografts were treated intravenously with vehicle, isotype ADC at 6 mg/kg, or CDH17-targeting ADC at 2 or 6 mg/kg once weekly for four doses. Tumor volumes were monitored throughout the study. (B) Body weights were recorded during the treatment period as an indicator of general tolerability.
Tumor-volume and body-weight data are presented as mean ± SEM; n = 5 mice per group. Statistical comparisons of tumor volume at the final assessment time point were performed using independent-samples t-tests versus the vehicle group. ns, not significant; *p < 0.05; **p < 0.01.
The CDH17-targeting ADC inhibited tumor growth in a dose-dependent manner in the SNU-5 gastric cancer model. Treatment at 6 mg/kg produced substantially greater tumor growth inhibition than the 2 mg/kg dose, while the isotype ADC showed limited activity. Body weights remained generally stable during treatment, supporting acceptable tolerability under the tested dosing regimens.

(A) BALB/c nude mice bearing NCI-N87 gastric cancer xenografts were treated intravenously with PBS once weekly for five doses or Trodelvy at 3 or 10 mg/kg once weekly for four doses. Tumor volumes were monitored through Day 35. At the endpoint, n = 5 mice in the PBS group and n = 4 mice in each Trodelvy group.
(B) BALB/c nude mice bearing HCC1806 breast cancer xenografts were treated intravenously with PBS or Trodelvy at 3 or 10 mg/kg once weekly for four doses. Tumor volumes were monitored through Day 32. At endpoint, n = 3 mice in the PBS group and n = 4 mice in each Trodelvy group.
(C) NCG mice bearing MDA-MB-468 triple-negative breast cancer xenografts were treated intravenously with PBS or Trodelvy at 3 or 10 mg/kg once every two weeks for two doses. Tumor volumes were monitored through Day 35. n = 4 mice per group.
Data are presented as mean ± SEM. Statistical comparisons at the final assessment time point were performed using two-tailed unpaired Welch’s t-tests versus the corresponding vehicle group. ns, not significant; **p < 0.01; ****p < 0.0001.
Trodelvy demonstrated antitumor activity across all three CDX models, although the magnitude and kinetics of response varied by tumor type and dosing regimen. In the HCC1806 and MDA-MB-468 models, the 10 mg/kg dose produced greater tumor growth inhibition than the 3 mg/kg dose. In the NCI-N87 model, Trodelvy was evaluated alongside T-DXd, enabling comparison of ADC activity within the same tumor model.
These model-dependent responses demonstrate the value of evaluating an ADC across a broader tumor panel to identify responsive indications, optimize dose selection, and select appropriate models for subsequent translational studies.

Antitumor activity of T-DXd in PDX models with different HER2 expression levels. Tumor growth curves in HER2 IHC 0 PDX models SC00685, SC00429, SC00352 and in HER2 IHC 3+ PDX models SC00730, SC00314, and SC00748. Tumor-bearing mice received vehicle or T-DXd at 3 or 10 mg/kg once every three weeks by intraperitoneal administration. Tumor volumes were monitored throughout the respective study periods. Data are presented as mean ± SEM; n = 5 mice per group. Statistical comparisons at the final assessment time point were performed using two-tailed unpaired Welch’s t-tests versus the corresponding vehicle group. ns, not significant; *p < 0.05; **p < 0.01; ***p < 0.001; ****p < 0.0001.
T-DXd produced pronounced tumor growth inhibition across the HER2 IHC 3+ PDX models. Responses among the HER2 IHC 0 models were more heterogeneous: some models showed substantial tumor growth inhibition or regression, whereas others exhibited a clearer dose-dependent response.
These findings indicate that HER2 IHC classification alone may not fully predict ADC sensitivity. Intratumoral target heterogeneity, antigen distribution, internalization efficiency, payload sensitivity, and tumor exposure may also contribute to treatment response. Evaluation across a PDX panel therefore provides an important translational layer beyond conventional CDX efficacy studies.

Pharmacokinetics and tumor distribution of T-DXd in female NCG mice bearing NCI-N87 xenografts. Female NCG mice bearing NCI-N87 tumors received a single intravenous dose of T-DXd at 3 mg/kg. (A) Serum concentration–time profiles of total antibody, conjugated ADC, and free payload. Serum samples were collected at 0.0833, 7, 24, 72, 120, 168, and 336 hours after dosing. No free payload was detected in serum. (B) Tumor concentration–time profiles of total antibody, conjugated ADC, and free payload. Tumor samples were collected at 7, 72, 168, and 336 hours after dosing. (C) Tumor-to-serum concentration ratios of total antibody and conjugated ADC at the corresponding sampling time points. (D) Summary pharmacokinetic parameters, including apparent half-life (T₁/₂), maximum concentration (Cmax), and area under the concentration–time curve from time zero to the last measurable time point (AUC₀–t), for total antibody and conjugated ADC in serum and tumor tissue. Total antibody and conjugated ADC were quantified by ELISA, while free payload was quantified by LC–MS/MS. Tumor concentrations are expressed as nmol/kg wet tissue and serum concentrations as nmol/L. A tissue density of 1 g/mL was assumed. Data are presented as mean ± SEM; n = 3 per time point.
Following a single intravenous administration of T-DXd at 3 mg/kg, total antibody and conjugated ADC showed broadly comparable concentration–time profiles in serum. Free payload was not detected in serum, suggesting limited measurable systemic release of DXd under the tested conditions.
Both total antibody and conjugated ADC were detected in tumor tissue, confirming intratumoral exposure after systemic administration. Tumor concentrations declined more slowly than serum concentrations, resulting in a progressive increase in the tumor-to-serum concentration ratio over time. The PK parameters further showed longer apparent retention of total antibody and conjugated ADC in tumor tissue than in serum.
Together, these data demonstrate that simultaneous assessment of serum exposure, tumor distribution, and analyte-specific PK parameters provides a more comprehensive understanding of ADC disposition than serum PK alone.

Serum pharmacokinetics and tumor distribution of T-DXd in BALB/c nude mice bearing NCI-N87 xenografts. Female BALB/c nude mice bearing NCI-N87 tumors received a single intravenous dose of T-DXd at 3 mg/kg. (A) Serum concentrations of total antibody, conjugated ADC, and free payload were measured at 0.0833, 7, 24, 72, 120, 168, and 336 hours after dosing. (B) Tumor concentrations of total antibody, conjugated ADC, and free payload were measured at 7, 72, 168, and 336 hours. (C) Tumor-to-serum concentration ratios were calculated for total antibody and conjugated ADC. Total antibody and conjugated ADC were quantified by ELISA, and free payload was quantified by LC–MS/MS. Data are presented as mean concentrations; n = 3 per time point. (D) Summary pharmacokinetic parameters, including apparent half-life (T₁/₂), maximum concentration (Cmax), and area under the concentration–time curve from time zero to the last measurable time point (AUC₀–t), for total antibody and conjugated ADC in serum and tumor tissue. Total antibody and conjugated ADC were quantified by ELISA, while free payload was quantified by LC–MS/MS. Tumor concentrations are expressed as nmol/kg wet tissue and serum concentrations as nmol/L. A tissue density of 1 g/mL was assumed. Data are presented as mean ± SEM; n = 3 per time point.
In BALB/c nude mice bearing NCI-N87 tumors, total antibody and conjugated ADC remained detectable in serum and tumor tissue for up to 336 hours after dosing. As observed in the NCG model, free payload was not detected in serum.
Compared with NCG mice, BALB/c nude mice showed longer apparent half-lives and higher systemic and tumor exposure for both total antibody and conjugated ADC. The extended tumor retention and increasing tumor-to-serum ratios indicate sustained intratumoral exposure after systemic clearance from circulation.
The differences observed between NCG and BALB/c nude mice demonstrate that host strain and biological background can influence ADC pharmacokinetics. Mouse-strain selection should therefore be considered when interpreting exposure data and designing PK–efficacy studies.

In vitro assessment of T-DXd-mediated bystander killing in a mixed HER2-positive and HER2-negative coculture system. HER2-negative MDA-MB-468 cells and HER2-positive SK-BR-3 cells were cocultured for four days and treated with untreated control, IgG1 at 50 nM, trastuzumab at 50 nM, or T-DXd at 2, 10, or 50 nM. (A) Representative flow cytometry profiles showing the relative proportions of MDA-MB-468 and SK-BR-3 cells following treatment. Cell populations were distinguished using PE-conjugated anti-HER2 antibody staining. (B) Quantification of MDA-MB-468 and SK-BR-3 cell numbers on Day 4 under the indicated treatment conditions.
HER2-negative MDA-MB-468 cells and HER2-positive SK-BR-3 cells were cocultured to establish an in vitro model of heterogeneous target expression. Treatment with T-DXd reduced both HER2-positive and HER2-negative cell populations in a concentration-dependent manner, whereas unconjugated trastuzumab did not produce a comparable reduction in the HER2-negative population.
The reduction in neighboring HER2-negative cells supports payload-mediated bystander killing following ADC internalization and payload release from target-positive cells. This coculture system provides a controlled approach for evaluating whether an ADC can overcome heterogeneous antigen expression in mixed tumor-cell populations.

n vivo evaluation of T-DXd-mediated bystander activity in a heterogeneous NCI-N87/U87 MG-Luc xenograft model. NCG mice bearing mixed NCI-N87/U87 MG-Luc tumors received a single intravenous administration of PBS, trastuzumab at 10 mg/kg, or T-DXd at 10 mg/kg. (A) Representative HER2-expression images for the NCI-N87 and U87 MG-Luc tumor components. (B) Mean tumor-volume changes during the study, measured by caliper. (C) Longitudinal bioluminescence images collected on Days 0, 7, 14, 21, and 28 after treatment. (D) Mean bioluminescence radiance over time, used to monitor the luciferase-labeled U87 MG cell population. Tumor-volume and bioluminescence data are presented as mean ± SEM; n = 5 mice per group. Statistical comparisons of tumor volume at the final assessment time point were performed using two-tailed unpaired Welch’s t-tests versus the PBS group. **p < 0.01; ****p < 0.0001.
A mixed NCI-N87/U87 MG-Luc xenograft model was used to evaluate T-DXd activity in a tumor containing cell populations with different HER2 expression levels. Both trastuzumab and T-DXd inhibited overall tumor growth based on caliper-derived tumor volume. However, longitudinal bioluminescence imaging showed a pronounced reduction in the luciferase-labeled U87 MG cell population following T-DXd treatment.
The reduction in the lower-HER2 neighboring cell population supports in vivo bystander activity of the membrane-permeable DXd payload. In contrast to tumor volume alone, bioluminescence imaging enabled specific tracking of one tumor-cell component within the heterogeneous tumor, providing a more direct assessment of bystander killing.

Primary poor response to T-DXd in the HER2-positive LC00167 lung cancer PDX model. (A) Representative HER2 immunohistochemical staining of the LC00167 PDX tumor. Scale bar, 50 μm. (B) Tumor growth curves of NCG mice bearing LC00167 tumors treated with DPBS or DS-8201a at 10 mg/kg, administered intraperitoneally once weekly for four weeks. Tumor-volume data are presented as mean ± SEM; n = 6 mice per group. Statistical comparison at the final assessment time point was performed using a two-tailed unpaired Welch’s t-test. ns, not significant.
The LC00167 lung cancer PDX model showed clear HER2 protein expression by IHC and relatively high HER2 and HER3 transcript levels. Despite this target-positive profile, repeated treatment with DS-8201a at 10 mg/kg produced only partial tumor growth inhibition without tumor regression.
Because LC00167 had not undergone prior selection under T-DXd treatment pressure, its limited response represents an intrinsic or primary poor-response phenotype rather than acquired resistance. The discordance between HER2 expression and therapeutic response indicates that target abundance alone may not be sufficient to predict T-DXd sensitivity.

(A) Schematic representation of the model-establishment process. JIMT-1 tumors were treated with vehicle or Enhertu. Tumors showing limited response to Enhertu were collected and serially reimplanted under continued treatment pressure to generate the JIMT-1–Enhertu-ER enhanced model. (B) Representative HER2 immunohistochemical staining and tumor growth curves from two independently derived JIMT-1–Enhertu-ER tumors. Mice bearing Tumor 1 or Tumor 2 were treated intravenously with vehicle, Enhertu at 6 mg/kg, or Enhertu at 10 mg/kg once weekly for four weeks. Tumor growth inhibition values are indicated in the figure. Tumor-volume data are presented as mean ± SEM; Statistical comparisons were performed using independent samples t-test; ns, not significant.
The JIMT-1–Enhertu-ER enhanced model was established through repeated in vivo selection under Enhertu treatment pressure. Non-responsive tumors were collected, reimplanted, and subsequently challenged with Enhertu to enrich for tumors with reduced treatment sensitivity.
Two independently derived JIMT-1–Enhertu-ER tumors retained HER2 expression by IHC but showed limited responses to repeated Enhertu treatment. In Tumor 1, Enhertu produced tumor growth inhibition values of 30.38% at 6 mg/kg and 36.13% at 10 mg/kg. In Tumor 2, the corresponding TGI values were 12.72% and 36.24%. Neither dose produced a statistically significant reduction in tumor volume compared with vehicle under the tested conditions.

Antitumor efficacy through Day 28 and post-treatment durability of an ADC administered alone or in combination with anti-PD-1 therapy. Tumor-bearing mice were assigned to vehicle, ADC monotherapy, anti-PD-1 monotherapy, or ADC plus anti-PD-1 combination-treatment groups according to the dosing regimens indicated in the figure. (A) Mean tumor volume changes through Day 28, the predefined efficacy evaluation endpoint. (B) Kaplan-Meier survival curves during the extended observation period following the Day 28 efficacy assessment. (C) Mean body weight changes during the treatment period and subsequent follow-up as an indicator of general tolerability.
Tumor-volume and body-weight data are presented as mean ± SEM; n = 5 mice per group. Statistical comparisons of tumor volume at Day 28 were performed using two-tailed unpaired Welch’s t-tests versus the PBS group. ns, not significant; *p < 0.05; **p < 0.01; ***p < 0.001.
The primary antitumor efficacy assessment was conducted through Day 28. During this treatment period, the ADC plus anti-PD-1 combination produced greater tumor growth inhibition than either monotherapy, supporting enhanced combination activity. After the Day 28 efficacy endpoint, animals continued to be monitored without extending the primary efficacy evaluation period. The subsequent observation phase was used to assess durability of tumor growth inhibition, delayed tumor regrowth, individual response patterns, and survival benefit.
Individual tumor growth curves showed that the combination regimen produced deeper and more sustained responses in a greater proportion of animals. Body weights remained generally stable during treatment and follow-up, indicating acceptable tolerability under the evaluated conditions.

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