Building a Pan-Cancer Spatial Atlas for Therapeutic Target Evaluation and Repurposing
Biopharma organizations evaluating novel therapeutic targets often face a fragmented landscape of datasets, technologies, and analytical approaches. Understanding target expression, co-expression patterns, indication prioritization, and patient stratification opportunities across multiple cancers typically requires coordination across assay providers, pathology teams, computational scientists, and translational stakeholders.
12
cancer indications profiled
Millions
spatially resolved cells analyzed
1
reusable biological intelligence resource
APPROACH
Stratica coordinated a rapid, multi-partner translational program involving biopharma stakeholders, spatial omics technology partners, pathology experts, contract research organizations, and computational biology teams to create a comprehensive pan-cancer spatial atlas of therapeutic target expression.
The effort integrated tissue microarrays spanning twelve major malignancies, multiplex spatial proteomics, digital pathology, quality control workflows, computational analysis, and interactive data visualization. Using StraticaOS, Stratica transformed millions of spatially resolved cellular measurements into an interpretable biological intelligence resource capable of supporting target prioritization, indication expansion strategies, co-targeting opportunities, and therapeutic development decisions.
KEY OUTCOMES
Coordinated end-to-end execution across technology providers, pathology teams, CROs, and translational stakeholders
Generated a large-scale pan-cancer spatial atlas spanning twelve major cancer indications
Profiled millions of spatially resolved cells across diverse tumor ecosystems
Delivered an interactive, explorable dataset designed for translational decision-making
Identified target expression patterns, co-expression opportunities, and indication-specific biological insights that can support asset repurposing
Enabled rapid evaluation of therapeutic hypotheses across multiple cancer types
Established a reusable biological intelligence resource capable of supporting future target discovery and development programs
IMPACT
This program demonstrates how Stratica can rapidly transform complex multimodal datasets into actionable biological intelligence. Rather than delivering static reports, the project created a living translational resource that supports target evaluation, indication prioritization, patient stratification, partnership discussions, and future therapeutic development efforts. The resulting atlas provides a scalable framework for evaluating emerging therapeutic targets across diverse human cancers.
APPLICATIONS
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