{"doi":"10.21037/tcr.2016.06.07","title":"Micro PET imaging of 18F-Fluoromisonidazole in an MDA-MB-231 triple negative human breast cancer xenograft model","abstract":null,"journal":"Translational Cancer Research","year":2016,"id":593333,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1336025,"name":"Xiao Jiang","orcid":"0000-0001-7335-4238","position":1,"is_corresponding":false},{"id":308327,"name":"Li Yang","orcid":"0000-0001-6589-7195","position":2,"is_corresponding":false},{"id":1518561,"name":"Taipeng Shen","orcid":null,"position":3,"is_corresponding":false},{"id":1518562,"name":"Xiaoxiong Wang","orcid":null,"position":4,"is_corresponding":false},{"id":399780,"name":"Hao Lu","orcid":"0000-0001-5478-9244","position":5,"is_corresponding":false},{"id":366985,"name":"Jun Wu","orcid":"0000-0002-1891-368X","position":6,"is_corresponding":false},{"id":1518563,"name":"Chunchao Xia","orcid":null,"position":7,"is_corresponding":false},{"id":226360,"name":"Bin Song","orcid":"0000-0002-9528-3837","position":8,"is_corresponding":false},{"id":1518564,"name":"Hua Ai","orcid":null,"position":9,"is_corresponding":false},{"id":1518560,"name":"Zhuzhong Cheng","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Micro PET imaging of 18F-Fluoromisonidazole in an MDA-MB-231 triple negative human breast cancer xenograft model","abstract":"Background: While 18F-Fluoromisonidazole (18F-FMISO) is the most frequently used positron emission tomography (PET) tracer for detecting hypoxia, it has not been studied in a metastatic triple-negative [lack expression of estrogen receptor (ER), progesterone receptor (PR) and human EGF receptor 2 (HER2)] human breast cancer cell xenografts model to our best knowledge. This study focuses on whether 18F-FMISO can detect the hypoxic status of triple-negative human breast cancer (TNBC).Methods: The TNBC cells MDA-MB-231 were successfully inoculated in right forelimb of nude mice. Nude mice models with TNBC xenografts were assessed by micro-PET imaging with 18F-FMISO, and hypoxic status of the TNBC xenografts was determined by immunohistochemistry. We also compared 18F-FDG uptake, the most commonly used PET tracer in clinical practice, with 18F-FMISO uptake to find out its correlation in MDA-MB-231 xenografts.Results: For 18F-FMISO, intestines and liver as well as bladder could be seen in micro-PET images. 18F-FDG showed physiologically high uptake in brain, heart, bladder and intestinal tracts. The quantitative radioactivity of 18F-FMISO and 18F-FDG in tumor were 2.18±0.15 and 3.84±0.54%ID/g, respectively. The quantitative radioactivity of 18F-FMISO and 18F-FDG in muscle were 1.23±0.08 and 0.59±0.09%ID/g, respectively. The tumor-to-muscle ratios were 1.79±0.015 and 7.11±2.84 for 18F-FMISO and 18F-FDG, respectively. Immunofluorescent images from MDA-MB-231 cryosections showed significant hypoxia.Conclusions: 18F-FMISO PET may be used for detection of hypoxia in tumor microenvironment of triple negative human breast cancer.","is_dataset_classified":null,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21097893","pmcid":null,"openalex_id":"https://openalex.org/W4250415846","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.37871121,"influential_citations":0,"citation_trend":[{"year":2022,"count":1},{"year":2023,"count":1},{"year":2025,"count":1}],"oa_status":"hybrid","license":"cc-by-nc-nd","oa_locations":[{"url":"https://doi.org/10.21037/tcr.2016.06.07","host_type":"journal"},{"url":"https://doi.org/10.21037/tcr.2016.06.07","host_type":"publisher"},{"url":"http://tcr.amegroups.com/article/download/8161/7276","host_type":"publisher"}],"fields_of_study":["Medical Imaging Techniques and Applications","Radiomics and Machine Learning in Medical Imaging","Radiopharmaceutical Chemistry and Applications"],"mesh_terms":[],"keywords":["Triple-negative breast cancer","Triple negative","Pet imaging","Breast cancer","Medicine","Human breast","Cancer research","Cancer","Pathology","Oncology","Positron emission tomography","Nuclear medicine","Internal medicine"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-26T21:41:52.411643Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}