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The chemokine CX3CL1 improves trastuzumab efficacy in HER2 low-expressing cancer in vitro and in vivo

  • Technical University of Munich
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • Klinikum der Universität Regensburg und Medizinische Fakultät
  • German Cancer Research Center

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

A crucial mode of action of trastuzumab is the labeling of HER2-positive (HER2+) tumor cells for the eradication by natural killer (NK) cells, a process called antibody-dependent cellular cytotoxicity (ADCC). However, despite widespread HER2 expression among cancer entities, only a fraction, with robust HER2 overexpression, benefits from trastuzumab therapy. ADCC requires both sufficient lymphocytic infiltration and close binding of the immune cells to the antibody-tagged tumor cells. We hypothesized that the chemokine CX3CL1 could improve both processes, as it is synthesized as a membrane-bound, adhesive form that is eventually cleaved into a soluble, chemotactic protein. Here, we show that CX3CL1 overexpression is a positive prognostic marker in breast cancer. CX3CL1 overexpression attracted tumor-suppressive lymphocytes, including NK cells, and inhibited tumor growth and lung metastasis in the syngeneic 4T1 breast cancer mouse model. In HER2+ SKBR3, MDA-MB-453, and HT-29 tumor cells, CX3CL1 overexpression increased NK cell- mediated cytotoxicity in vitro and acted synergistically with trastuzumab. Even though CX3CL1 did not further improve trastuzumab efficacy in vivo in the trastuzumab-sensitive MDA-MB-453 model, it compensated for NK-cell depletion and prolonged survival. In the HER2 low-expressing HT-29 model, however, CX3CL1 overexpression not only prolonged survival time but also overcame trastuzumab resistance in a partly NK cell-dependent manner. Taken together, these findings identify CX3CL1 as a feasible pharmacologic target to enable trastuzumab therapy in HER2 low-expressing cancers and render it a potential predictive biomarker to determine therapy responders.

Original languageEnglish
Pages (from-to)779-789
Number of pages11
JournalCancer Immunology Research
Volume9
Issue number7
DOIs
StatePublished - Jul 2021

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