Back

Nectin-4 PET For Optimizing Enfortumab Vedotin Dose-Response In Urothelial Carcinoma

Mishra, A.; Sharma, A. K.; Gupta, K.; Banka, D.; Johnson, B. A.; Hoffman-Censits, J.; Huang, P.; McConkey, D. J.; Nimmagadda, S.

2024-12-25 cancer biology
10.1101/2024.12.25.630315 bioRxiv
Show abstract

The optimization of dosing strategies is critical for maximizing efficacy and minimizing toxicity in drug development, particularly for drugs with narrow therapeutic windows such as antibody-drug conjugates (ADCs). This study demonstrates the utility of Nectin-4-targeted positron emission tomography (PET) imaging using [68Ga]AJ647 as a non-invasive tool for real-time assessment of target engagement in enfortumab vedotin (EV) therapy for urothelial carcinoma (UC). By leveraging the specificity of [68Ga]AJ647 for Nectin-4, we quantified dynamic changes in target engagement across preclinical models and established its correlation with therapeutic outcomes. PET imaging revealed dose-dependent variations in Nectin-4 engagement, with suboptimal EV doses resulting in incomplete Nectin-4 engagement and reduced tumor growth. Importantly, target engagement measured by PET emerged as a more reliable predictor of therapeutic efficacy than dose or baseline Nectin-4 expression alone. Receiver operating characteristic (ROC) analysis identified a target engagement threshold that is determinant of response, providing a quantitative benchmark for dose optimization. Furthermore, PET imaging measures provide a promising framework to account for key challenges in ADC development, including tumor heterogeneity, declining drug-to-antibody ratios over time, and limitations of systemic pharmacokinetic measurements to account for tumor-drug interactions. These findings underscore the transformative potential of integrating PET pharmacodynamic measures as early biomarkers to refine dosing strategies, improve patient outcomes, and accelerate the clinical translation of next-generation targeted therapeutics.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Theranostics
37 papers in training set
Top 0.1%
13.0%
2
Nature Communications
5641 papers in training set
Top 19%
9.0%
3
Clinical Cancer Research
64 papers in training set
Top 0.2%
6.8%
4
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 0.5%
4.4%
5
Science Advances
1243 papers in training set
Top 6%
4.4%
6
Bioconjugate Chemistry
20 papers in training set
Top 0.1%
4.4%
7
Cell Reports Medicine
153 papers in training set
Top 0.7%
3.5%
8
Journal of Controlled Release
44 papers in training set
Top 0.3%
3.3%
9
Molecular Cancer Therapeutics
40 papers in training set
Top 0.3%
3.3%
50% of probability mass above
10
eLife
5828 papers in training set
Top 40%
2.5%
11
Scientific Reports
3612 papers in training set
Top 43%
2.4%
12
PLOS ONE
5266 papers in training set
Top 44%
2.1%
13
Neoplasia
23 papers in training set
Top 0.2%
1.9%
14
International Journal of Radiation Oncology*Biology*Physics
25 papers in training set
Top 0.3%
1.7%
15
European Journal of Nuclear Medicine and Molecular Imaging
20 papers in training set
Top 0.1%
1.7%
16
Journal of Clinical Investigation
179 papers in training set
Top 3%
1.5%
17
npj Imaging
12 papers in training set
Top 0.1%
1.5%
18
Neuro-Oncology Advances
25 papers in training set
Top 0.3%
1.1%
19
Frontiers in Oncology
103 papers in training set
Top 3%
1.0%
20
ACS Pharmacology & Translational Science
40 papers in training set
Top 0.6%
1.0%
21
British Journal of Cancer
49 papers in training set
Top 1%
1.0%
22
Cancer Letters
35 papers in training set
Top 1.0%
1.0%
23
Neuro-Oncology
36 papers in training set
Top 0.5%
1.0%
24
Molecular Therapy
81 papers in training set
Top 2%
1.0%
25
Communications Biology
993 papers in training set
Top 28%
0.9%
26
Journal of Extracellular Vesicles
55 papers in training set
Top 0.5%
0.9%
27
Cell Reports
1498 papers in training set
Top 26%
0.9%
28
Molecular Therapy Oncology
10 papers in training set
Top 0.2%
0.9%
29
JCI Insight
277 papers in training set
Top 7%
0.9%
30
Cancer Research
130 papers in training set
Top 3%
0.9%