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PDX Model Cohort

Acute Lymphoblastic Leukemia PDX Models

Advance your B Cell Acute Lymphoblastic Leukemia (B-ALL) therapeutic candidates using a bank of never-passaged and meticulously curated B Cell Acute Lymphoblastic Leukemia PDX models directly established from primary tumors.

Summary

Champions Oncology has developed a comprehensive cohort of patient-derived xenograft (PDX) models for B Cell Acute Lymphoblastic Leukemia (B-ALL) to facilitate translational research and the discovery of novel therapeutic strategies. Our biorepository encompasses a broad spectrum of hematologic malignancies, including ALL, AML, CLL, and MCL, and currently comprises 12* clinically relevant B-Cell Acute Lymphoblastic Leukemia PDX models. These models originate from primary patient samples and are engrafted systemically to faithfully recapitulate patient-specific disease characteristics. Notably, most patient-derived samples were obtained post-treatment with Standard of Care regimens.

(*Model numbers fluctuate as our dataset continuously evolves.)

  • Rare & well characterized cohort of primary B-Cell Acute Lymphoblastic Leukemia models that recapitulates disease biology

  • B-ALL model cohort that can be utilized for successful primary ex vivo studies and PDX in vivo studies

  • Includes models pretreated with advanced cancer therapies post-collection such as CAR-T and those resistant to targeted treatments and the latest immunotherapies.

  • Complete model characterization (clinical data, NGS analysis, proteomics, phospho-proteomics, and more).

  • Offers comprehensive terminal peripheral blood and bone marrow analysis utilizing Champions' high-complexity flow cytometry endpoint, including markers such as hCD10, hCD45, mCD45, hCD3, hCD19, hCD22, hCD20, and Viability Dye.

Clinically Relevant Models

Living & diverse bank of clinically relevant models that correlate with clinical outcomes

Pretreated PDX Models

Established from tumor biopsies from patients pretreated with latest generation therapies

Multi-omic Characterization

Clinical annotations coupled with molecular datasets and in vivo responses

Download the model cohort