Highlights
- •Patient-matched orthotopic PDX/TIL models were developed and validated.
- •TILs with autologous tumor reactivity were successfully expanded from donor HGSOC for infusion.
- •TILs co-cultured with autologous tumor cells exhibited HLA-dependent IFNγ production and activation.
- •Combination TILs and anti-PD-1 significantly increased patient-matched tumor cell lysis and increased survival in vivo.
Abstract
Objective
The aim of this study was to “humanize” ovarian cancer patient-derived xenograft (PDX)
models by autologous transfer of patient-matched tumor infiltrating lymphocytes (TILs)
to evaluate immunotherapies.
Methods
Orthotopic high-grade serous ovarian cancer (HGSOC) PDX models were established from
three patient donors. Models were molecularly and histologically validated by immunohistochemistry.
TILs were expanded from donor tumors using a rapid expansion protocol. Ex vivo TIL and tumor co-cultures were performed to validate TIL reactivity against patient-matched
autologous tumor cells. Expression of TIL activation markers and cytokine secretion
was quantitated by flow cytometry and ELISA. As proof of concept, the efficacy of
anti-PD-1 monotherapy was tested in autologous TIL/tumor HGSOC PDX models.
Results
Evaluation of T-cell activation in autologous TIL/tumor co-cultures resulted in an
increase in HLA-dependent IFNγ production and T-cell activation. In response to increased
IFNγ production, tumor cell expression of PD-L1 was increased. Addition of anti-PD-1
antibody to TIL/tumor co-cultures increased autologous tumor lysis in a CCNE1 amplified model. Orthotopic HGSOC PDX models from parallel patient-matched tumors
maintained their original morphology and molecular marker profile. Autologous tumor-reactive
TIL administration in patient-matched PDX models resulted in reduced tumor burden
and increased survival, in groups that also received anti-PD-1 therapy.
Conclusions
This study validates a novel, clinically relevant model system for in vivo testing of immunomodulating therapeutic strategies for ovarian cancer, and provides
a unique platform for assessing patient-specific T-cell response to immunotherapy.
Keywords
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Article info
Publication history
Published online: December 06, 2019
Accepted:
October 9,
2019
Received in revised form:
October 9,
2019
Received:
March 9,
2019
Identification
Copyright
© 2019 Elsevier Inc. All rights reserved.