| Literature DB >> 29376139 |
Matteo Astone1, Erin N Dankert1, Sk Kayum Alam1, Luke H Hoeppner1.
Abstract
Zebrafish have proven to be a valuable model to study human cancer biology with the ultimate aim of developing new therapies. Danio rerio are amenable to in vivo imaging, high throughput drug screening, mutagenesis, and transgenesis, and they share histological and genetic similarities with Homo sapiens. The significance of zebrafish in the field of precision oncology is rapidly emerging. Indeed, modeling cancer in zebrafish has already been used to identify tumor biomarkers, define therapeutic targets and provide an in vivo platform for drug discovery. New zebrafish studies are starting to pave the way to direct individualized clinical applications. Patient-derived cancer cell xenograft models have demonstrated the feasibility of using zebrafish as a real time avatar of prognosis and drug response to identify the most ideal therapy for an individual patient. Genetic cancer modeling in zebrafish, now facilitated by rapidly evolving genome editing techniques, represents another innovative approach to recapitulate human oncogenesis and develop individualized treatments. Utilizing zebrafish to design customizable precision therapies will improve the clinical outcome of patients afflicted with cancer.Entities:
Keywords: Danio rerio; breast cancer; cancer; drug development; genetics; glioblastoma; leukemia; liver cancer; lymphoma; melanoma; metastasis; oncogenesis; pancreatic cancer; patient-derived xenografts; precision oncology; prognosis; solid tumors; targeted therapy; transgenic models; tumor; tumorigenesis; zebrafish
Year: 2017 PMID: 29376139 PMCID: PMC5784449 DOI: 10.1038/s41698-017-0043-9
Source DB: PubMed Journal: NPJ Precis Oncol ISSN: 2397-768X
The contribution of zebrafish cancer models to precision oncology
| Cancer type | Model | Transgene/injected cells | Approach | Results | Specific contribution to precision oncology | Ref. |
|---|---|---|---|---|---|---|
| Melanoma | Transgenic line |
| Pharmacological test in vivo | Small molecule inhibitors of MEK and PI3K/mTOR suppress the melanocyte hyperplasia phenotype. | In vivo validation of targeted drugs for the treatment of melanoma. |
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| Transgenic line |
| In vivo drug screening | Two FDA-approved compounds cooperate with MEK inhibitors to suppress the growth of transformed melanocytes. | Discovery of two new potential drugs for the treatment of melanoma. |
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| XT | Human uveal melanoma cells generated from primary tumors and metastasis | Pharmacological test in vivo | Targeted inhibition of known pathways by specific drugs is effective in counteracting cancer cells migration and proliferation. | Validation of a zebrafish xenograft model as a drug screening platform for the treatment of melanoma. |
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| Glioma | Transgenic line |
| Pharmacological test in vivo | AKT1/2 inhibitor suppresses gliomagenesis, inhibits cellular proliferation, and induces apoptosis in established gliomas. | In vivo identification of a targeted drug for the treatment of glioma. |
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| XT | Human glioblastoma cells | Pharmacological test in vivo | JNK, ERK, and PI3K inhibitors suppress angiogenesis induced by glioblastoma cells. | In vivo validation of targeted drugs for the treatment of glioblastoma via angiogenesis inhibition. |
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| XT | Human glioblastoma cells | In vitro drug screening in vivo pharmacological test | A novel small molecule radiation sensitizer enhances the tumor growth-inhibitory effects of ionizing radiation. | Discovery of a new small molecule radiation sensitizer for the treatment of glioblastoma. |
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| XT | Glioma stem cells (GSCs) isolated from a human glioblastoma cell line | Pharmacological test in vivo | A synthetic compound, Nordy, suppresses angiogenesis, tumor invasion, and proliferation of the zebrafish GSC xenograft. | In vivo validation of a drug targeting GSCs for the treatment of glioblastoma. |
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| XT | Human glioblastoma cells | Pharmacological test in vivo | A drug with a known anti-cancer effect in cell culture inhibits proliferation and invasion in the xenograft model. | Proof of principle for the use of a zebrafish orthotopic xenograft model as a drug screening platform for the treatment of glioblastoma. |
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| XT | Patient-derived glioma cells | Pharmacological test in vivo | Currently used glioblastoma therapeutics decrease xenotransplant tumor burden and significantly rescue survival. | Validation of a zebrafish orthotopic xenograft model as a drug screening platform for the treatment of glioblastoma. |
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| Brain pediatric tumors | XT | Mouse ependymoma, glioma, and choroid plexus carcinoma cells | Pharmacological test in vivo | A cytotoxic chemotherapeutic agent (5-fluorouracil) and a tyrosine kinase inhibitor suppress ERBB2-driven gliomas. | Proof of principle for the use of a zebrafish orthotopic xenograft model as a drug screening platform for the treatment of pediatric brain tumors. |
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| Pancreatic cancer | XT | Human pancreatic adenocarcinoma cells | Pharmacological test in vivo | A known small molecule inhibitor, U0126, targeting the KRAS signaling pathway, represses proliferation and migration of cancer cells. | In vivo validation of a targeted drug for the treatment of pancreatic cancer. |
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| Leukemia and lymphoma | WT embryos | — | In vivo drug screening | Chemicals that enhance prostaglandin (PG) E2 synthesis increase HSC numbers. | Development of Prohema, currently in Phase II clinical trials for use in leukemia and lymphoma patients receiving blood transplantations. |
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| T-ALL | XT | Patient-derived T-ALL cells | Pharmacological test in vivo | A bone marrow sample derived from a T-ALL patient harboring a | Proof of principle for the use of a zebrafish xenotransplantation model as a preclinical platform for a personalized therapy. |
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| Thyroid cancer | Transgenic line |
| Pharmacological test in vivo | Combinatorial treatment with BRAF and MEK inhibitors rescue normal follicular architecture, restore thyroid hormone production, and reduce epithelial mesenchymal transition. | In vivo validation of targeted drugs for the treatment of thyroid cancer. |
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| Hepatocellular carcinoma | Transgenic line |
| In vivo drug screening | Two c-Jun N-terminal kinase (JNK) inhibitors and two anti-depressants suppress β-catenin-induced liver growth. | Discovery of two classes of potential targeted drugs for the treatment of hepatocellular carcinoma. |
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| Retinoblastoma | XT | Human retinoblastoma cells | Pharmacological test in vivo | Orthotopic xenograft of retinoblastoma cells permits quantitative analysis of cancer cells proliferation and the anti-cancer effect of drugs systemically administered. | Validation of a zebrafish orthotopic xenograft model as a drug screening platform for the treatment of retinoblastoma. |
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| Pancreatic ductal adenocarcinoma (metastasis) | XT | Pancreatic carcinoma cells and fragments of resected tumor tissue | Pharmacological test in vivo | miR-10A suppression by knockdown or retinoid acid receptor antagonists blocks metastasis. | In vivo validation of a new molecular target and anti-metastatic targeted drugs for the treatment of pancreatic cancer. |
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| Prostate cancer (metastasis) | XT | Human prostate cancer cells | Pharmacological test in vivo | Pharmacologic inhibitors of SYK kinase, currently in phase I–II trials for other indications, prevent metastatic dissemination. | In vivo validation of anti-metastatic targeted drugs for the treatment of prostate cancer. |
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| XT | Human prostate cancer cells | Pharmacological test in vivo | The small molecule VPC-18005, targeting ERG, exhibits anti-metastatic activity against prostate cancer cells aberrantly expressing ERG. | In vivo validation of an anti-metastatic targeted drug for the treatment of prostate cancer. |
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| Melanoma (metastasis) | XT | Mouse melanoma cells | Pharmacological test in vivo | The FDA-approved anti-DNA virus agent cidofovir inhibits metastasis of FGF2-driven tumor cells. | In vivo validation of an anti-metastatic targeted drug for the treatment of melanoma. |
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| Breast cancer (metastasis) | XT | Triple-negative breast cancer cells | Pharmacological test in vivo | Specific inhibition of Arf1 by small molecule LM11 impairs metastatic capability of breast cancer cells. | In vivo validation of a potential anti-metastatic precision oncology treatment for breast cancer patients with ARF1 amplification. |
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| XT | Triple-negative breast cancer cells | Pharmacological test in vivo | Novel compounds designed to antagonize P2 × 7 receptor inhibit invasion of breast cancer cells. | In vivo validation of anti-metastatic targeted drugs for the treatment of breast cancer. |
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| XT | Triple-negative breast cancer cells | Pharmacological test in vivo | Inhibition of signaling between human CXCR4 and zebrafish ligands by the small molecule IT1t impairs breast cancer early metastases. | In vivo validation of an anti-metastatic targeted drug for the treatment of breast cancer. |
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| XT | Primary culture of breast cancer bone metastasis | Xenograft and imaging | Transplanted primary cell behavior reflects the clinical course of the patient’s medical history. | Proof of principle for the use of zebrafish xenograft for the evaluation of cancer patient prognosis. |
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| Ewing sarcoma (metastasis) | XT | Human Ewing sarcoma cells | Pharmacological test in vivo | The SIRT1/2 inhibitor Tenovin-6 prohibits tumor growth and spread of cancer cells. | In vivo validation of a new molecular target and an anti-metastatic targeted drug for the treatment of Ewing sarcoma. |
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| Gastrointestinal tumors (metastasis) | XT | Tumor explants from pancreas, colon, and stomach carcinoma | Xenograft and imaging | Xenografts of primary human tumors show rapid invasiveness and micrometastasis formation after transplantation in the yolk or organotopically in the liver. | Validation of a zebrafish xenotransplantation model as a platform for the analysis of metastatic behavior of primary human tumor specimen. |
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A summary of studies described in this review that exemplify the utility of zebrafish cancer models in precision oncology research. Contributions of each model to the precision oncology field have been highlighted
XT xenotransplantation, T-ALL T-cell acute lymphoblastic leukemia
Fig. 1Applications of the zebrafish model in precision oncology. Classic cancer research using zebrafish has contributed to precision oncology through the establishment of numerous cancer models, leading not only to significant advancements in cancer biology, but also to the definition of targeted drugs suitable for personalized cancer treatments (blue, left). Possible applications of zebrafish in the clinic to drive personalized therapies for specific patients have also been shown. The feasibility of this approach has been demonstrated through the use of patient-derived zebrafish xenografts and generation of transgenic zebrafish modeling mutations or translocations defining a specific patient’s tumor (red, right)
Genetic models of cancer
| Cancer type | Genetic system | Transgenes/mutated genes | Ref. |
|---|---|---|---|
| Melanoma | Transgenic line |
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| Melanoma | Transgenic line |
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| Melanoma | Transgenic line |
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| Melanoma | Transgenic line |
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| Melanoma | Transgenic line |
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| Brain tumors | Transgenic line |
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| Brain tumors | Transgenic line |
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| Glioma | Transgenic line |
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| MPNST | Mutant lines | Heterozygous mutations in 11 ribosomal protein genes |
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| MPNST | Deletion | 15.2 Mb deletion in chromosome 1 |
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| MPNST | Mutant line |
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| Neurofibromas/MPNST | Mutant lines |
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| MPNST | Mutant lines | Heterozygous mutations in 17 ribosomal protein genes |
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| Pancreatic cancer | Transgenic line |
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| T-ALL | Transgenic line |
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| T-ALL | Transgenic line |
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| T-ALL | Transgenic line |
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| Thyroid cancer | Transgenic line |
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| Hepatocellular carcinoma | Transgenic line | Mifepristone-induced Cre-mediated recombination: |
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| Hepatocellular carcinoma | Transgenic line |
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| Colon adenoma | Mutant line |
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Significant zebrafish genetic cancer models, including all those discussed in the review, have been summarized
MPNST malignant peripheral nerve sheath tumors, T-ALL T-cell acute lymphoblastic leukemia
Transplantation cancer models
| Cancer type | Transplanted cells | Developmental stage | Injection site | Ref. | ||
|---|---|---|---|---|---|---|
| Transplantation cancer models | Cell lines | Various types | Several human cancer cells | 25–35 dpf | Peritoneal cavity |
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| Uveal melanoma | Human uveal melanoma cells generated from primary tumors and metastasis | 48 hpf | Yolk sac |
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| Cutaneous melanoma | Human cutaneous melanoma cells | 3 hpf (blastula) | Early embryo |
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| Melanoma | Human melanoma cells derived from metastatic melanoma lesions | 48 hpf | Pericardium |
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| Melanoma | Zebrafish melanoma cells | Adult | Peritoneal cavity |
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| Brain pediatric tumors | Mouse glioblastoma cells, mouse ependymoma cells, mouse choroid plexus carcinoma cells | 30 dpf | Into the cerebrum via the intranasal route |
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| Vestibular schwannoma | Mouse schwannoma cells | 12–48 hpf | Yolk sac |
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| Glioblastoma | Human glioblastoma cells | 48 hpf | Yolk sac |
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| Glioblastoma | Human glioblastoma cells | 3.5–4.5 hpf (blastula) | Blastodisc or yolk sac |
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| Glioblastoma | Glioma stem cells isolated from a human glioblastoma cell line | 48 hpf | Yolk sac |
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| Glioblastoma | Human glioblastoma cells | 48 or 72 hpf | Hindbrain ventricle |
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| Pancreatic cancer | Human pancreatic adenocarcinoma cells | 48 hpf embryos and 6 mpf adults | Perivitellin cavity (embryos) and cardiac chamber (adults) |
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| Retinoblastoma | Human and mouse retinoblastoma cells | 48 hpf | Vitreous cavity |
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| Retinoblastoma | Human retinoblastoma cells | 48 hpf | Vitreous cavity |
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| Patient-derived cells | Glioblastoma | Patient-derived glioma cells (serum-grown adherent cells and neurospheres) | 36 hpf | Midbrain-hindbrain boundary |
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| T-ALL | Leukemia cells and patient-derived leukemia cells | 48 hpf | Yolk sac |
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| Transplantation metastasis models | Cell lines | Various types | Human breast adenocarcinoma, fibrosarcoma and colon adenocarcinoma cells | 48 hpf | Pericardium |
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| Pancreatic cancer | Human renal cell adenocarcinoma cells and human pancreatic adenocarcinoma metastasis cells | 72 hpf | Pericardium |
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| Lung adenocarcinoma | Human lung adenocarcinoma cells | 72 hpf | Pericardium |
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| T-ALL | Zebrafish lymphoma cells | Adult | Intraperitoneally |
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| Pancreatic ductal adenocarcinoma | Human primary pancreatic adenocarcinoma cells | 48 hpf | Yolk sac |
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| Prostate cancer | Human prostate cancer cells | 48 hpf | Yolk sac |
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| Prostate cancer | Human prostate cancer cells | 48 hpf | Yolk sac |
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| Melanoma | Mouse melanoma cells | 48 hpf | Duct of Cuvier |
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| Triple-negative breast cancer | Triple-negative breast cancer cells | 48 hpf | Perivitellin cavity |
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| Triple-negative breast cancer | Triple-negative breast cancer cells | 48 hpf | Yolk sac |
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| Triple-negative breast cancer | Triple-negative breast cancer cells | 48 hpf | Duct of Cuvier |
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| Ewing sarcoma | Human Ewing sarcoma cells | 48 hpf | Yolk sac |
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| Patient-derived cells | Breast cancer | Cultured circulating tumor cells isolated from the blood of a metastatic breast cancer patient | 72 hpf | Pericardium |
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| Various types | Mouse mammary epithelial cells transformed with oncogenic Ras and tumor explants from pancreas, colon and stomach carcinoma | 48 hpf | Yolk sac |
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| Pancreatic ductal adenocarcinoma | Pancreatic carcinoma cells and fragments of resected tumor tissue | 48 hpf | Yolk sac |
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| Breast cancer | Breast cancer cells and primary culture of breast cancer bone metastasis | 48 hpf | Duct of Cuvier |
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The zebrafish transplantation cancer and metastasis models discussed in the review have been outlined
T-ALL T-cell acute lymphoblastic leukemia
Fig. 2Precision oncology approach to leukemia drug screening using zebrafish. a Flow chart demonstrating the timeline used. Patient-derived leukemia cells were xenotransplanted into zebrafish embryos, which were administered various drugs. Leukemia cell number was used to assess drug efficacy in the zebrafish avatar corresponding to an individual leukemia patient. Assessment of drug efficacy is completed within 8 days, leading to a fast, effective, and individualized cancer treatment. hpf: hours post-fertilization, hpi: hours post-injection of cells, hpt: hours post-treatment. b Bright-field and fluorescence images of zebrafish injected with patient-derived leukemia cells. Embryos were treated with vehicle (control), Rapamycin (Rap) or Compound E (CE). Images were taken at 72 hpt. Scale bars are 500 µM. c A baseline number of leukemia cells was determined at 96 hpi. An increase in the number of leukemia cells when compared to the baseline data demonstrates cell proliferation in the zebrafish model. In patient sample one, data demonstrates a significant (p < 0.0001) response to the Notch inhibition (CE). The patient sample was subsequently sequenced and a gain of function mutation in the Notch pathway was found. Patient sample two did not demonstrate significant results, suggesting the mutation was not in the Notch pathway, which was subsequently confirmed through sequencing. Reproduced with permission and adapted from: Bentley, V.L. et al. Haematologica 100, 70–76 (2015)[5]
Fig. 3Human cancer cell xenograft models of extravasation in zebrafish and metastasis in mice. a–h Human 786-O renal cell carcinoma cells overexpressing retroviral control vector (a–d) or neuropilin-2 (NRP-2; e–h) were transiently labeled with cell tracker orange dye, microinjected into the pericardium of 3 dpf Tg(Fli-GFP) zebrafish, and imaged 1 day later. a–d control 786-O cells stay in the ISVs. e, f 786-O cells overexpressing NRP-2 extravasate from the ISVs. i–j 2 × 106 luciferase-labeled 786-O cells suspended in PBS were subcutaneously injected into the right flank of female nude mice. Prior to the tumor growing to 10% of body weight, the subcutaneous tumors were surgically resected. Luciferase imaging was performed on the mice for 4–6 months to monitor metastasis, and the 786-O NRP-2 knockdown group (top) exhibited significantly fewer lung metastases than the control cohort (bottom). k–r Human ASPC-1 pancreatic cancer cells were transduced with control shRNA (k–n) or NRP-2 shRNA (o–r), transiently labeled, microinjected, and imaged as described above. k, l Extravasated control shRNA ASPC-1 cells. m, l Actively extravasating control shRNA ASPC-1 cells. o–r NRP-2 knockdown ASPC-1 cells stay in the ISV. s–t Male SCID mice were orthotopically injected with 2 × 106 GFP-labeled ASPC-1 pancreatic cancer cells suspended in PBS, and after 15 days liver metastases were assessed by xenogen imaging. Reproduced with permission and adapted from: Cao Y. et al. Cancer Res 73, 4579–4590 (2013)[84]