What are Patient-derived Xenograft Models for Cancer Therapy and How Do They Work?

Many cancers lack randomized evidence to guide systemic treatment. Even though gene expression profiling combined with proteomics has improved diagnosis, classification, and prognosis, many cancers remain untreatable owing to a lack of therapeutic options. To create uncommon malignancies, they’re utilizing patient-derived xenograft (PDX) models. Unfortunately, preclinical study efficacy and accurate clinical findings are rarely in agreement. This will need better preclinical modeling. Traditional research techniques such as randomized control trials may be employed to evaluate the rapidly growing field of targeted, customized therapy, which is the future of cancer care.

There Are Several Xenograft Models 

Clinical judgment and expertise, rather than published clinical data, are more essential in developing customized cancer therapy, according to biomarkers for predictive and prognostic malignancies. The PDX Models for various cancers are listed below.

Mixed Mullerian Cancer 

For more than 150 years, malignant neoplasms of the uterus with epithelial and mesenchymal components have been debated. They gave researchers a dependable method to assess the effectiveness of a drug before putting it through clinical trials. To evaluate medicines that target mixed Mullerian malignancies, suitable preclinical models, such as CrownBio mixed Mullerian cancer models, are required.

Prostate Cancer 

Prostate cancer is a complex disease with a wide range of symptoms that makes drug development and scientific research challenges. Preclinical models, such as patient-derived xenografts (PDX), must be used to assess medicines mainly used to treat prostate cancer. Unfortunately, it’s very tough to create prostate cancer PDXs.

Head and Neck

For head and neck cancer clinical trials, it is possible to engraft PDXs from head and neck cancer samples at various stages of the disease. They maintain the genetic characteristics of their human source. Furthermore, they can be treated with both chemotherapy and radiation, allowing for therapeutically relevant research. 

Acute Myeloid Leukemia

Myeloid hematopoiesis cancer AML is a genetically heterogeneous cell malignancy. Patient-derived xenograft (PDX) models for blood cancer are often transient and non-transferable from one passage to the next. They don’t cause illness or death, and they don’t create any symptoms. Because PDX models for blood cancer are permanent, they may be used to study disease recurrence after a treatment challenge and the efficacy of novel drugs in treating drug-resistant malignancies.

Cancer of the Brain

While patient survival in pediatric oncology has improved significantly in recent decades in several areas, the prognosis for most children with malignant brain tumors remains bleak. PDXs for juvenile brain tumors are now produced by xenografting fresh tissue, freshly acquired cell suspensions, or short-cropped neurospheres into immunosuppressed rats or mice.


Cholangiocarcinoma is a cancer of the biliary system that has a poor prognosis. Effective, personalized treatments for this deadly illness are desperately needed. Gallbladder cancer is rare. However, they are very aggressive and have a poor prognosis. Their rarity has hindered adequate therapy trials.



New trial designs for biomarker-identified patient groups have been created as biomarker-driven therapy has become more relevant in the treatment of cancer patients. Pathohistology, genetic/epigenetic, and therapeutic responses to anti-cancer therapies are replicated in PDX models in tumor tissue. Individual medication and therapy responses may be predicted using PDX models, enabling customized medicine to be practiced. In addition, they’re utilized to deduce several of the processes that lead to treatment resistance in various tumor types. The potential for tumor cell growth and tumor microenvironment heterogeneity remain maintained, however. Biofluorescence imaging may be used to detect micrometastatic lesions in organoid-derived PDX models.