TY - JOUR
T1 - Primary Patient-Derived Cancer Cells and Their Potential for Personalized Cancer Patient Care
AU - Kodack, David P.
AU - Farago, Anna F.
AU - Dastur, Anahita
AU - Held, Matthew A.
AU - Dardaei, Leila
AU - Friboulet, Luc
AU - von Flotow, Friedrich
AU - Damon, Leah J.
AU - Lee, Dana
AU - Parks, Melissa
AU - Dicecca, Richard
AU - Greenberg, Max
AU - Kattermann, Krystina E.
AU - Riley, Amanda K.
AU - Fintelmann, Florian J.
AU - Rizzo, Coleen
AU - Piotrowska, Zofia
AU - Shaw, Alice T.
AU - Gainor, Justin F.
AU - Sequist, Lecia V.
AU - Niederst, Matthew J.
AU - Engelman, Jeffrey A.
AU - Benes, Cyril H.
N1 - Publisher Copyright:
© 2017 The Authors
PY - 2017/12/12
Y1 - 2017/12/12
N2 - Personalized cancer therapy is based on a patient's tumor lineage, histopathology, expression analyses, and/or tumor DNA or RNA analysis. Here, we aim to develop an in vitro functional assay of a patient's living cancer cells that could complement these approaches. We present methods for developing cell cultures from tumor biopsies and identify the types of samples and culture conditions associated with higher efficiency of model establishment. Toward the application of patient-derived cell cultures for personalized care, we established an immunofluorescence-based functional assay that quantifies cancer cell responses to targeted therapy in mixed cell cultures. Assaying patient-derived lung cancer cultures with this method showed promise in modeling patient response for diagnostic use. This platform should allow for the development of co-clinical trial studies to prospectively test the value of drug profiling on tumor-biopsy-derived cultures to direct patient care. Kodack et al. report on the development of cancer models from tumor biopsies and technologies toward a functional approach for personalized medicine. They describe the ability to reliably test drug response in patient-derived samples of mixed cell populations. In doing so, they show that patient biopsy cultures may predict patient clinical responses.
AB - Personalized cancer therapy is based on a patient's tumor lineage, histopathology, expression analyses, and/or tumor DNA or RNA analysis. Here, we aim to develop an in vitro functional assay of a patient's living cancer cells that could complement these approaches. We present methods for developing cell cultures from tumor biopsies and identify the types of samples and culture conditions associated with higher efficiency of model establishment. Toward the application of patient-derived cell cultures for personalized care, we established an immunofluorescence-based functional assay that quantifies cancer cell responses to targeted therapy in mixed cell cultures. Assaying patient-derived lung cancer cultures with this method showed promise in modeling patient response for diagnostic use. This platform should allow for the development of co-clinical trial studies to prospectively test the value of drug profiling on tumor-biopsy-derived cultures to direct patient care. Kodack et al. report on the development of cancer models from tumor biopsies and technologies toward a functional approach for personalized medicine. They describe the ability to reliably test drug response in patient-derived samples of mixed cell populations. In doing so, they show that patient biopsy cultures may predict patient clinical responses.
KW - NSCLC
KW - patient-derived cancer cells
KW - personalized medicine
UR - http://www.scopus.com/inward/record.url?scp=85037830500&partnerID=8YFLogxK
U2 - 10.1016/j.celrep.2017.11.051
DO - 10.1016/j.celrep.2017.11.051
M3 - Article
C2 - 29241554
AN - SCOPUS:85037830500
SN - 2211-1247
VL - 21
SP - 3298
EP - 3309
JO - Cell Reports
JF - Cell Reports
IS - 11
ER -