Oncology PKPDADC

SKB264 tumor-growth inhibition

Reference paper ↗

A reduced tumor-growth model representing the balance between untreated tumor expansion and SKB264-associated tumor-cell killing.

Therapeutic
SKB264 (sacituzumab tirumotecan), anti-TROP2 humanized mAb shared with IMMU-132
Modality
Antibody–drug conjugate (ADC)
Target
TACSTD2, TROP2, EGP1
Disease
TROP2-positive preclinical tumor models
Model type
PKPD, ADC

Complete model workspace

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Parameters
2
States
1
Equations
1
Derived outputs
4

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Starting configuration

Default model behavior

Default model behavior

How does the modeled ADC killing rate change tumor-volume dynamics relative to intrinsic growth? Explore this biological starting configuration through Tumor volume, Net tumor growth rate.

Starting result

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Starting configuration

Time: 0–30 day; step 0.25

InputDefaultAvailable range
Tumor growth rate0.04 1/day0.02–0.06 1/day
Tumor kill rate0 1/day0–1 1/day

Expected readouts

Tumor volume (millimeter**3) · Net tumor growth rate

Adjustable model parameters

This public explorer exposes 2 curated parameters. Sign in to edit all 2 declared model parameters.

How the model represents the biology

A reduced tumor-growth model representing the balance between untreated tumor expansion and SKB264-associated tumor-cell killing.

How do intrinsic growth and a scenario-defined kill coefficient shape tumor volume?An intrinsic tumor-growth rate and a scenario-defined tumor-kill coefficient oppose one another to set net growth, which changes the single tumor-volume state.BIOLOGY OVERVIEWHow do intrinsic growth and a scenario-defined kill coefficient shape tumorvolume?Intrinsic growth ratePositive tumor-growthcoefficientKill coefficientScenario-defined negativedriveNet growth balanceGrowth minus kill coefficientTumor volumeSingle dynamic tumor statePRIMARY READOUTSTumor volumeTumor volumeNet tumor-growth rateNet tumor-growth rate

Solid arrows show modeled movement or change; two-headed arrows show reversible exchange; dashed arrows show modulation without material transfer.

Model scope: ADC exposure, TROP2 binding, payload release, dose response, and a separate cell-death compartment are not represented; the public default kill coefficient is zero.

Modeled relationships (3)
  • Intrinsic growth rate → Net growth balance: positive drive (modulation)
  • Kill coefficient → Net growth balance: negative drive (modulation)
  • Net growth balance → Tumor volume: changes V (modulation)

Modeled relationships: Intrinsic growth rate to Net growth balance: positive drive (modulation); Kill coefficient to Net growth balance: negative drive (modulation); Net growth balance to Tumor volume: changes V (modulation).

Primary readouts: Tumor volume; Net tumor-growth rate.

Found a scientific issue? Email helpdesk@unibiointelligence.com with model ID cheng_2022_skb264_trop2_adc_preclinical_pkpd.

Research use only — not for patient-specific prediction or dosing advice.

Ubi Biologics