The endoplasmic reticulum aminopeptidase ERAP1 regulates innate and adaptive immune responses by trimming peptides for presentation by MHC class I (MHC-I) molecules. Herein, we demonstrate that genetic or pharmacological inhibition of ERAP1 on human tumor cell lines perturbs their ability to engage several classes of inhibitory receptors by their specific ligands, including killer cell Ig-like receptors (KIR) by classical MHC-I–peptide (pMHC-I) complexes and the lectin-like receptor CD94-NKG2A by nonclassical pMHC-I complexes, in each case leading to natural killer (NK) cell killing. The protective effect of pMHC-I complexes could be restored in ERAP1-deficient settings by the addition of known high-affinity peptides, suggesting that ERAP1 was needed to positively modify the affinity of natural ligands. Notably, ERAP1 inhibition enhanced the ability of NK cells to kill freshly established human lymphoblastoid cell lines from autologous or allogeneic sources, thereby promoting NK cytotoxic activity against target cells that would not be expected because of KIR–KIR ligand matching. Overall, our results identify ERAP1 as a modifier to leverage immune functions that may improve the efficacy of NK cell–based approaches for cancer immunotherapy. Cancer Res; 75(5); 1–11. ©2015 AACR.

The endoplasmic reticulum aminopeptidase ERAP1 regulates innate and adaptive immune responses by trimming peptides for presentation by MHC class I (MHC-I) molecules. Herein we demonstrate that genetic or pharmacological inhibition of ERAP1 on human tumor cell lines perturbs their ability to engage several classes of inhibitory receptors by their specific ligands, including killer cell Ig-like receptors (KIRs) by classical MHC-I-peptide (pMHC-I) complexes and the lectin-like receptor CD94-NKG2A by non-classical pMHC-I complexes, in each case leading to NK cell killing. The protective effect of pMHC-I complexes could be restored in ERAP1-deficient settings by the addition of known high-affinity peptides, suggesting that ERAP1 was needed to positively modify the affinity of natural ligands. Notably, ERAP1 inhibition enhanced the ability of NK cells to kill freshly established human lymphoblastoid cell lines (LCLs) from autologous or allogeneic sources, thereby promoting NK cytotoxic activity against target cells that would not be expected due to KIR-KIR ligand matching. Overall, our results identify ERAP1 as a modifier to leverage immune functions that may improve the efficacy of NK cell-based approaches for cancer immunotherapy.

Circulating tumor cells (CTC) in blood are promising new biomarkers potentially useful for prognostic prediction and monitoring of therapies in patients with solid tumors including colon cancer. Moreover, CTC research opens a new avenue for understanding the biology of metastasis in patients with cancer. However, an in-depth investigation of CTCs is hampered by the very low number of these cells, especially in the blood of patients with colorectal cancer. Thus, the establishment of cell cultures and permanent cell lines from CTCs has become the most challenging task over the past year. Here, we describe, for the first time, the establishment of cell cultures and a permanent cell line from CTCs of one patient with colon cancer. The cell line designated CTC-MCC-41 has been cultured for more than one year, and the cells have been characterized at the genome, transcriptome, proteome, and secretome levels. This thorough analysis showed that CTC-MCC-41 cells resemble characteristics of the original tumor cells in the patient with colon cancer and display a stable phenotype characterized by an intermediate epithelial/mesenchymal phenotype, stem cell–like properties, and an osteomimetic signature, indicating a bone marrow origin. Functional studies showed that CTC-MCC-41 cells induced rapidly in vitro endothelial cell tube formation and in vivo tumors after xenografting in immunodeficient mice. The establishment of this first colon cancer CTC line allows now a wealth of functional studies on the biology of CTCs as well as in vitro and in vivo drug testing. Cancer Res; 75(5); 1–10. ©2015 AACR.

Circulating tumor cells (CTCs) in blood are promising new biomarkers potentially useful for prognostic prediction and monitoring of therapies in patients with solid tumors including colon cancer. Moreover, CTC research opens a new avenue for understanding the biology of metastasis in cancer patients. However, an in-depth investigation of CTCs is hampered by the very low number of these cells, especially in the blood of colorectal cancer patients. Thus, the establishment of cell cultures and permanent cell lines from CTCs has become the most challenging task over the past year. Here we describe, for the first time, the establishment of cell cultures and a permanent cell line from CTCs of one colon cancer patient. The cell line designated CTC-MCC-41 has been cultured for more than one year and the cells have been characterized at the genome, transcriptome, proteome and secretome levels. This thorough analysis showed that CTC-MCC-41 cells resemble characteristics of the original tumor cells in the colon cancer patient and display a stable phenotype characterized by an intermediate epithelial/mesenchymal phenotype, stem-cell like properties and an osteomimetic signature indicating a bone marrow origin. Functional studies showed that CTC-MCC-41 cells induced rapidly in vitro endothelial cell tube formation and in vivo tumors after xenografting in immunodeficient mice. The establishment of this first colon cancer CTC line allows now a wealth of functional studies on the biology of CTCs as well as in vitro and in vivo drug testing.

We propose that the quantitative cancer biology community makes a concerted effort to apply lessons from weather forecasting to develop an analogous methodology for predicting and evaluating tumor growth and treatment response. Currently, the time course of tumor response is not predicted; instead, response is only assessed post hoc by physical examination or imaging methods. This fundamental practice within clinical oncology limits optimization of a treatment regimen for an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. With a successful methodology toward tumor forecasting, it should be possible to integrate large tumor-specific datasets of varied types and effectively defeat one cancer patient at a time. Cancer Res; 75(6); 1–6. ©2014 AACR.