Patient-derived xenograft (PDX) models, in which tumor tissues from patients are implanted
into immunocompromised or humanized mice, have shown superiority in recapitulating the …

Under the selective pressure of therapy, tumours dynamically evolve multiple adaptive
mechanisms that make static interrogation of genomic alterations insufficient to guide …

Predicting the clinical response to chemotherapeutic or targeted treatment in patients with
locally advanced or metastatic lung cancer requires an accurate and affordable tool. Tumor …

Immunology researchers are beginning to explore the possibilities of reproducibility, reuse
and secondary analyses of immunology data. Open-access datasets are being applied in …

Abstract Development of candidate cancer treatments is a resource-intensive process, with
the research community continuing to investigate options beyond static genomic …

The spectrum of tumours arising in childhood is fundamentally different from that seen in
adults, and they are known to be divergent from adult malignancies in terms of cellular …

Patient-based cancer models are essential tools for studying tumor biology and for the
assessment of drug responses in a translational context. We report the establishment a large …

Spheroids are three-dimensional cellular models with widespread basic and translational
application across academia and industry. However, methodological transparency and …

Existing guidelines on the preparation (Planning Research and Experimental Procedures on
Animals: Recommendations for Excellence (PREPARE)) and reporting (Animal Research …

Patient‐derived xenograft (PDX) models are widely used as preclinical cancer models and
are considered better than cell culture models in recapitulating the histological features …