Zebrafish tumour xenograft models: a prognostic approach to epithelial ovarian cancer.

Epithelial ovarian cancer (EOC) is the gynaecological malignancy with highest mortality. Although adjuvant treatment with carboplatin and paclitaxel leads to an objective response in ~80% of these patients, a majority will relapse within two years. Better methods for assessing long-term treatment outcomes are needed. To address this, we established safe and efficacious doses of carboplatin and paclitaxel using IGROV-1 zebrafish-CDX models. Then fluorescently-labelled cell suspensions from 83 tumour biopsies collected at exploratory laparotomy of women with suspected EOC were generated and 37 (45%) were successfully implanted in zebrafish larvae. Among these 19 of 27 pathology-confirmed EOC samples (70%) engrafted. These zebrafish patient-derived tumour xenograft (ZTX) models were treated with carboplatin or paclitaxel and tumour growth/regression and metastatic dissemination were recorded. In a subgroup of nine patients, four ZTX models regressed during carboplatin treatment. All four corresponding patients had >24 months PFS. Furthermore, both ZTX models established from two patients having <24 months PFS failed to regress during carboplatin treatment. Seven of eight models seeding <6 metastatic cells were established from patients having >24 months PFS. In eleven of fourteen patients, FIGO stage I + II or III tumours gave rise to ZTX models seeding <4 or >4 metastatic cells, respectively. In conclusion, ZTX models predicted patients having >24 or <24 months PFS, based on response/no response to carboplatin. Furthermore, high metastatic dissemination in ZTX models correlated to shorter PFS and more advanced disease at diagnosis. These preliminary results suggest that ZTX models could become a useful prognostic tool in EOC treatment planning.

Zebrafish patient-derived xenograft models predict lymph node involvement and treatment outcome in non-small cell lung cancer.

BACKGROUND: Accurate predictions of tumor dissemination risks and medical treatment outcomes are critical to personalize therapy. Patient-derived xenograft (PDX) models in mice have demonstrated high accuracy in predicting therapeutic outcomes, but methods for predicting tumor invasiveness and early stages of vascular/lymphatic dissemination are still lacking. Here we show that a zebrafish tumor xenograft (ZTX) platform based on implantation of PDX tissue fragments recapitulate both treatment outcome and tumor invasiveness/dissemination in patients, within an assay time of only 3 days. METHODS: Using a panel of 39 non-small cell lung cancer PDX models, we developed a combined mouse-zebrafish PDX platform based on direct implantation of cryopreserved PDX tissue fragments into zebrafish embryos, without the need for pre-culturing or expansion. Clinical proof-of-principle was established by direct implantation of tumor samples from four patients. RESULTS: The resulting ZTX models responded to Erlotinib and Paclitaxel, with similar potency as in mouse-PDX models and the patients themselves, and resistant tumors similarly failed to respond to these drugs in the ZTX system. Drug response was coupled to elevated expression of EGFR, Mdm2, Ptch1 and Tsc1 (Erlotinib), or Nras and Ptch1 (Paclitaxel) and reduced expression of Egfr, Erbb2 and Foxa (Paclitaxel). Importantly, ZTX models retained the invasive phenotypes of the tumors and predicted lymph node involvement of the patients with 91% sensitivity and 62% specificity, which was superior to clinically used tests. The biopsies from all four patient tested implanted successfully, and treatment outcome and dissemination were quantified for all patients in only 3 days. CONCLUSIONS: We conclude that the ZTX platform provide a fast, accurate, and clinically relevant system for evaluation of treatment outcome and invasion/dissemination of PDX models, providing an attractive platform for combined mouse-zebrafish PDX trials and personalized medicine.

Fulvestrant-Mediated Attenuation of the Innate Immune Response Decreases ER+ Breast Cancer Growth In Vivo More Effectively than Tamoxifen.

Although blocking estrogen-dependent signaling is a cornerstone of adjuvant treatment for breast cancer, 25% of patients experience recurrent disease. Stroma events including innate immune responses are key in cancer progression. How different estrogen receptor (ER)-targeting therapies, including the partial agonist tamoxifen and the pure antagonist fulvestrant, affect the tumor stroma has not yet been elucidated. Fulvestrant is used in only postmenopausal patients, and its effects in the presence of estradiol remain undetermined. Here we observe that fulvestrant decreases ER+ breast cancer growth compared with tamoxifen in the presence of physiologic levels of estradiol in human breast cancer in nude mice and in murine breast cancer in immune-competent mice. Fulvestrant significantly inhibited macrophage and neutrophil infiltration in both models. These effects were corroborated in a zebrafish model where fulvestrant inhibited neutrophil- and macrophage-dependent cancer cell dissemination more effectively than tamoxifen. A comprehensive analysis of 234 human proteins released into the cancer microenvironment by the cancer cells sampled via microdialysis in vivo revealed that 38 proteins were altered following both treatments; 25 of these proteins were associated with immune response and were altered by fulvestrant only. Compared with tamoxifen, fulvestrant significantly affected inflammatory proteins released by murine stroma cells. Importantly, in vivo microdialysis of human ER+ breast cancer revealed that the majority of affected proteins in murine models were upregulated in patients. Together, these results suggest that fulvestrant targets ER+ breast cancer more effectively than tamoxifen even in the presence of estradiol, mainly by attenuation of the innate immune response. SIGNIFICANCE: These findings demonstrate novel effects of the pure antiestrogen fulvestrant in ER+ breast cancer and evaluate its effects under physiologic levels of estradiol, representative of premenopausal patients.

CCL2 and CCL5 Are Novel Therapeutic Targets for Estrogen-Dependent Breast Cancer.

PURPOSE: Novel therapeutic targets of estrogen receptor (ER)-positive breast cancers are urgently needed because current antiestrogen therapy causes severe adverse effects, nearly 50% of patients are intrinsically resistant, and the majority of recurrences have maintained ER expression. We investigated the role of estrogen-dependent chemokine expression and subsequent cancer growth in human tissues and experimental breast cancer models. EXPERIMENTAL DESIGN: For in vivo sampling of human chemokines, microdialysis was used in breast cancers of women or normal human breast tissue before and after tamoxifen therapy. Estrogen exposure and targeted therapies were assessed in immune competent PyMT murine breast cancer, orthotopic human breast cancers in nude mice, cell culture of cancer cells, and freshly isolated human macrophages. Cancer cell dissemination was investigated using zebrafish. RESULTS: ER(+) cancers in women produced high levels of extracellular CCL2 and CCL5 in vivo, which was associated with infiltration of tumor-associated macrophages. In experimental breast cancer, estradiol enhanced macrophage influx and angiogenesis through increased release of CCL2, CCL5, and vascular endothelial growth factor. These effects were inhibited by anti-CCL2 or anti-CCL5 therapy, which resulted in potent inhibition of cancer growth. In addition, estradiol induced a protumorigenic activation of the macrophages. In a zebrafish model, macrophages increased cancer cell dissemination via CCL2 and CCL5 in the presence of estradiol, which was inhibited with anti-CCL2 and anti-CCL5 treatment. CONCLUSIONS: Our findings shed new light on the mechanisms underlying the progression of ER(+) breast cancer and indicate the potential of novel therapies targeting CCL2 and CCL5 pathways.