Despite improvements in the ability to treat cancer, first-line chemotherapy in standard-of-care treatments still fail to elicit a response from about half of cancer patients. This limitation signals a pressing need for practical methods to select personalized cancer therapies. Biodynamic imaging (BDI; a form of dynamic-contrast OCT with low-coherence digital holography) on living cancer biopsies from patients shows potential as a method to guide personalized selection of cancer therapy. However, building a library of signatures for different types of cancer has been a practical obstacle. Here, a comparative preclinical/clinical trial with two-species (human and canine) and two-cancers (esophageal carcinoma and B-cell lymphoma) demonstrates the general applicability of BDI as a method of chemoresistance prediction and as a viable tool for personalized medicine. This study identifies a set of drug response phenotypes that span species and cancer type, suggesting the existence of universal characteristics, which would reduce the burden of library construction needed for the method to be useful for doctors and their patients.
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