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Tumor Tissue Microarrays for Cancer Research

High-Throughput Screening of FFPE Tumor Samples for Biomarker Discovery & Translational Oncology

Crown Bioscience’s Tissue Microarray (TMA) platform delivers a high-throughput, scalable solution for biomarker screening, discovery, and validation in oncology research. Designed for both preclinical and clinical applications, our TMAs are constructed from formalin-fixed, paraffin-embedded (FFPE) tumor tissue sourced from a comprehensive collection of murine models and a curated bank of human cancer specimens.

Our TMA portfolio includes arrays derived from:

  • HuPrime® Patient-Derived Xenograft (PDX) models,

  • Cell Line-Derived Xenograft models,

  • Syngeneic models, and

  • Murine tumor homograft (MuPrime™) models.

Each TMA features two to three representative cores per model and covers diverse tumor indications. PDX TMAs span cancer types such as colorectal, gastric, lung, liver, melanoma, pancreatic, sarcoma, and more. Cell Line-Derived TMAs provide mixed tumor types for broader screening, while syngeneic and MuPrime™ TMAs offer immunocompetent and murine homograft tumor models for immuno-oncology research.

Human TMAs for Translational Research

Our human tissue microarrays are ethically sourced and clinically annotated, enabling direct application to translational studies. These FFPE human TMAs span multiple cancer indications and support:

  • Clinical biomarker validation

  • Patient stratification strategies

  • Human-relevant translational research

By integrating human TMAs with our robust preclinical model portfolio, researchers can bridge the gap between discovery and clinical development with greater confidence and efficiency.

Download the TMA Catalog List

Tumor Micro Array Example

Figure 1: Example Tumor Tissue Microarray

NAME CATALOG #
Bladder Cancer TMA046 TMA-HP-BL-046
Brain Cancer PDX TMA051 TMA-HP-BN-051
Breast Cancer TMA040 TMA-HP-BR-040
Breast Cancer TMA050 TMA-HP-BR-050
Cell Line Derived Xenograft models – mixed cancer types TMA009 TMA-CP-MX-009
Cell Line Derived Xenograft models – mixed cancer types TMA010 TMA-CP-MX-010
Cervical Cancer TMA047 TMA-HP-CV-047
Colorectal Cancer PDX TMA045 TMA-HP-CR-045
Colorectal Cancer PDX TMA057 TMA-HP-CR-057
Colorectal Cancer PDX TMA068 TMA-HP-CR-068
Esophageal cancer PDX TMA065 TMA-HP-ES-065
Gastric cancer PDX TMA053 TMA-HP-GA-053
Gastric cancer PDX TMA055 TMA-HP-GA-055
Gastric cancer PDX TMA056 TMA-HP-GA-056
Head & Neck cancer PDX TMA066 TMA-HP-HN-066
Kidney Cancer TMA049 TMA-HP-KI-049
Leukemia & Lymphoma TMA035 TMA-HP-HK-035
Liver cancer PDX TMA052 TMA-HP-LI-052
Liver cancer PDX TMA063 TMA-HP-LI-063
Lung Cancer PDX TMA043 TMA-HP-LU-043
Lung Cancer PDX TMA044 TMA-HP-LU-044
Lung cancer PDX TMA054 TMA-HP-LU-054
Lung cancer PDX TMA058 TMA-HP-LU-058
Lung cancer PDX TMA059 TMA-HP-LU-059
Lung cancer PDX TMA067 TMA-HP-LU-067
Lung Cancer TMA048 TMA-HP-LU-048
Melanoma PDX TMA037 TMA-HP-ME-037
Melanoma PDX TMA041 TMA-HP-ME-041
Melanoma PDX TMA042 TMA-HP-ME-042
Murine Syngeneic Model TMA004 TMA-SY-MX-004
Ovarian cancer PDX TMA060 TMA-HP-OV-060
Ovarian cancer PDX TMA064 TMA-HP-OV-064
Pancreatic cancer PDX TMA039 TMA-HP-PA-039
Pancreatic cancer PDX TMA061 TMA-HP-PA-061
Pancreatic cancer PDX TMA062 TMA-HP-PA-062
Sarcoma PDX TMA036 TMA-HP-SA-036

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FAQs

What are tumor tissue microarrays (TMAs)?

 

Tissue microarrays are paraffin blocks containing cores from multiple tumor samples, allowing high-throughput analysis for biomarker screening and pathology research.

Do you offer human tissue microarrays for cancer research?

 

Yes. Crown Bioscience provides clinically annotated human TMAs from FFPE cancer tissue across multiple indications to support translational and clinical research.

What tumor models are included in your TMAs?

 

We offer TMAs from patient-derived xenografts (PDX), syngeneic, and murine homograft models, covering a range of tumor types including colorectal, lung, gastric, and more.

How are TMAs used in oncology drug development?

 

Researchers use TMAs to validate biomarkers, evaluate drug targets, and stratify patient populations by analyzing expression patterns across tumor cohorts.

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