HuPrime® tumorgrafts

World's largest collection of human primary tumors

Primary human tumor models are established by transplanting fresh human tumor fragments onto immune-deficient mice. Compared with cell line based traditional xenograft models, primary models better mimic original patient histopathology, as well as gene expression profile, therefore can provide better predictive value for cancer indication prioritization and clinical efficacy estimation. CrownBio has one of the largest collections of primary human tumor models, including gastric, colorectal, liver, lung, H&N, and kidney cancer models.

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Living TissueTM Bank:
Is a collection of hundreds of cryopreserved human tumor tissue ex-plants, which still retain the ability to engraft immune-deficient mice upon reviving. We have kept detailed clinical information about each tissue specimen, such as patient prior treatment history, original and serial in vivo passage histopathology, as well as cDNA expression profiles. Further characterization such as DNA mutation and copy number can also be obtained upon request.

HuPrimeTM tumor implantation and established cases summary
Tumor TypeTotal CasesP0P1P2P3
Adrenal gland61111
Brain232221
Bile Duct30000
Bladder201111
Breast1212222
Testis11000
Cervical70000
Chondromyxoid Fibroma10000
Colorectal6428232121
Endometrial60000
Esophageal6328282828
Fallopian11111
Gallbladder63333
Gastric10730303030
Head and Neck998875
Inflammatory Myofibroblastic Tumor10000
Kidney753322
Liver25719151311
Lung21822221717
Lymphoma71111
Mediastinal20000
Metastatic Carcinoma33333
Ovarian275544
Pancreatic286553
Prostate161111
Sarcoma135555
Thymoma20000
MIXED311111
TOTAL1208171160148141

Efficacy study with human primary tumor models :
tumors are established using cryo-preserved Living Tissue fragments. Mice are randomized into different dosing groups with 10-12 mice in each group when the average tumor size reaches 100-200mm3. In order to obtain statistical power, we recommend testing candidate drugs on multiple primary tumor models, either with the same cancer type to estimate efficacy, or among different cancer types to gain predictive information on potential clinical indications.

Angiogensis Models

 

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