Assessment of the Novel Estrogen Receptor PET Tracer 4-Fluoro-11β-methoxy-16α-[18F]fluoroestradiol (4FMFES) by PET Imaging in a Breast Cancer Murine Model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-04-26

AUTHORS

Michel Paquette, Serge Phoenix, René Ouellet, Réjean Langlois, Johan E. van Lier, Éric E. Turcotte, Francois Bénard, Roger Lecomte

ABSTRACT

PurposeThe aim of this study was to compare the in vivo stability, uptake, and positron emission tomography (PET) imaging performance of a novel estrogen receptor PET tracer, 4-fluoro-11β-methoxy-16α-[18F]fluoroestradiol (4FMFES), with 16α-[18F]fluoroestradiol (FES).ProceduresMC7-L1 and MC4-L2 (ER+) cell lines and their ERα-knockdown variants (ERαKD) were implanted subcutaneously in Balb/c mice. After 21 days, mice were imaged using either FES or 4FMFES. One hour post-injection, static images were acquired for 30 min and the tumor %ID/g uptake values were derived. Biodistribution data were also obtained 1 h following the injection of either FES or 4FMFES. Blood samples were taken at different times and analyzed on thin-layer chromatography to quantify the presence of radiometabolites for each radiotracer. To assess specific targeting to the estrogen receptors, mice bearing only ER+ tumors were treated with the competitive ER inhibitor fulvestrant 48 h prior to imaging with 4FMFES.ResultsMetabolic stability was found to be similar for both tracers in mice. Both FES and 4FMFES differentiated ER+ tumors from ERαKD tumors in biodistribution and PET imaging studies. 4FMFES achieved a significantly higher %ID/g uptake in ER+ tumors and MC4-L2 ERαKD tumors than FES in the PET imaging studies. Also, tumor-to-background ratio was higher in ER+ tumors using 4FMFES compared to FES. Dissection data showed a significantly higher %ID/g in all tested cell lines and ER-rich tissues using 4FMFES versus FES. Fulvestrant-treated mice had either low or undetectable tumor uptake.ConclusionIn a tumor-bearing mouse model, 4FMFES achieves better specific tumor uptake and better contrast than FES, making it a promising candidate for ER imaging. More... »

PAGES

625-632

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11307-013-0638-7

DOI

http://dx.doi.org/10.1007/s11307-013-0638-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053704473

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23619898


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cell Line, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Models, Animal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Estradiol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Fulvestrant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mammary Neoplasms, Animal", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mice, Inbred BALB C", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Positron-Emission Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Estrogen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tissue Distribution", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paquette", 
        "givenName": "Michel", 
        "id": "sg:person.01360506457.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360506457.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Phoenix", 
        "givenName": "Serge", 
        "id": "sg:person.01031722755.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031722755.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ouellet", 
        "givenName": "Ren\u00e9", 
        "id": "sg:person.01314240551.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314240551.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Langlois", 
        "givenName": "R\u00e9jean", 
        "id": "sg:person.01037134752.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037134752.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "van Lier", 
        "givenName": "Johan E.", 
        "id": "sg:person.0707506374.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707506374.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Turcotte", 
        "givenName": "\u00c9ric E.", 
        "id": "sg:person.0705063051.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705063051.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "BC Cancer Agency Research Center, Department of Radiology, University of British Columbia, Vancouver, BC, Canada", 
          "id": "http://www.grid.ac/institutes/grid.17091.3e", 
          "name": [
            "BC Cancer Agency Research Center, Department of Radiology, University of British Columbia, Vancouver, BC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "B\u00e9nard", 
        "givenName": "Francois", 
        "id": "sg:person.01055636711.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055636711.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "D\u00e9partement de m\u00e9decine nucl\u00e9aire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lecomte", 
        "givenName": "Roger", 
        "id": "sg:person.01023730070.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023730070.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/2191-219x-2-61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010048792", 
          "https://doi.org/10.1186/2191-219x-2-61"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-010-1589-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035346598", 
          "https://doi.org/10.1007/s00259-010-1589-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-008-0745-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030660233", 
          "https://doi.org/10.1007/s00259-008-0745-x"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-04-26", 
    "datePublishedReg": "2013-04-26", 
    "description": "PurposeThe aim of this study was to compare the in vivo stability, uptake, and positron emission tomography (PET) imaging performance of a novel estrogen receptor PET tracer, 4-fluoro-11\u03b2-methoxy-16\u03b1-[18F]fluoroestradiol (4FMFES), with 16\u03b1-[18F]fluoroestradiol (FES).ProceduresMC7-L1 and MC4-L2 (ER+) cell lines and their ER\u03b1-knockdown variants (ER\u03b1KD) were implanted subcutaneously in Balb/c mice. After 21\u00a0days, mice were imaged using either FES or 4FMFES. One hour post-injection, static images were acquired for 30\u00a0min and the tumor %ID/g uptake values were derived. Biodistribution data were also obtained 1\u00a0h following the injection of either FES or 4FMFES. Blood samples were taken at different times and analyzed on thin-layer chromatography to quantify the presence of radiometabolites for each radiotracer. To assess specific targeting to the estrogen receptors, mice bearing only ER+ tumors were treated with the competitive ER inhibitor fulvestrant 48\u00a0h prior to imaging with 4FMFES.ResultsMetabolic stability was found to be similar for both tracers in mice. Both FES and 4FMFES differentiated ER+ tumors from ER\u03b1KD tumors in biodistribution and PET imaging studies. 4FMFES achieved a significantly higher %ID/g uptake in ER+ tumors and MC4-L2 ER\u03b1KD tumors than FES in the PET imaging studies. Also, tumor-to-background ratio was higher in ER+ tumors using 4FMFES compared to FES. Dissection data showed a significantly higher %ID/g in all tested cell lines and ER-rich tissues using 4FMFES versus FES. Fulvestrant-treated mice had either low or undetectable tumor uptake.ConclusionIn a tumor-bearing mouse model, 4FMFES achieves better specific tumor uptake and better contrast than FES, making it a promising candidate for ER imaging.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11307-013-0638-7", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1118463", 
        "issn": [
          "1536-1632", 
          "1878-5751"
        ], 
        "name": "Molecular Imaging and Biology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "keywords": [
      "receptor PET tracer", 
      "positron emission tomography", 
      "PET imaging studies", 
      "ID/", 
      "tumor uptake", 
      "imaging studies", 
      "BALB/c mice", 
      "PET tracers", 
      "ER-rich tissues", 
      "breast cancer murine model", 
      "cell lines", 
      "specific tumor uptake", 
      "tumor-bearing mouse model", 
      "estrogen receptor", 
      "murine model", 
      "mouse model", 
      "blood samples", 
      "uptake value", 
      "tumors", 
      "emission tomography", 
      "biodistribution data", 
      "ER inhibitor", 
      "mice", 
      "PET imaging", 
      "specific targeting", 
      "FES", 
      "vivo stability", 
      "uptake", 
      "thin-layer chromatography", 
      "dissection data", 
      "radiometabolites", 
      "background ratio", 
      "ConclusionIn", 
      "study", 
      "receptors", 
      "tomography", 
      "injection", 
      "biodistribution", 
      "inhibitors", 
      "radiotracer", 
      "tissue", 
      "days", 
      "hours", 
      "imaging", 
      "tracer", 
      "aim", 
      "targeting", 
      "min", 
      "assessment", 
      "different times", 
      "ER", 
      "data", 
      "lines", 
      "variants", 
      "good contrast", 
      "contrast", 
      "static images", 
      "presence", 
      "candidates", 
      "samples", 
      "promising candidate", 
      "chromatography", 
      "ratio", 
      "time", 
      "model", 
      "values", 
      "images", 
      "stability", 
      "performance", 
      "novel estrogen receptor PET tracer", 
      "estrogen receptor PET tracer", 
      "ProceduresMC7-L1", 
      "MC4-L2 (ER+) cell lines", 
      "ER\u03b1-knockdown variants", 
      "c mice", 
      "presence of radiometabolites", 
      "competitive ER inhibitor", 
      "ResultsMetabolic stability", 
      "ER\u03b1KD tumors", 
      "MC4-L2 ER\u03b1KD tumors", 
      "Fulvestrant-treated mice", 
      "undetectable tumor uptake", 
      "Cancer Murine Model"
    ], 
    "name": "Assessment of the Novel Estrogen Receptor PET Tracer 4-Fluoro-11\u03b2-methoxy-16\u03b1-[18F]fluoroestradiol (4FMFES) by PET Imaging in a Breast Cancer Murine Model", 
    "pagination": "625-632", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1053704473"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11307-013-0638-7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23619898"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11307-013-0638-7", 
      "https://app.dimensions.ai/details/publication/pub.1053704473"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:20", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_601.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11307-013-0638-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11307-013-0638-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11307-013-0638-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11307-013-0638-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11307-013-0638-7'


 

This table displays all metadata directly associated to this object as RDF triples.

269 TRIPLES      22 PREDICATES      127 URIs      115 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11307-013-0638-7 schema:about N04cabbc30c3d418ba5fed178d623cf56
2 N3b2f3a3faf2243f8844f606ac06de87c
3 N3deb58cfe28e4bcd897c8f4b086d9311
4 N4a8d0518f4914c879425fe9279767ced
5 N52b6ec0c3ec148069d7e1edbefcd8923
6 N575409a86fa845e39068a84ff7ca7421
7 N61a78278257f4b63adb5afe70642fa22
8 N9d8be60d3e6d4847b1c962445fa39f58
9 Na70de910e3d949309c20aeef8b7d3090
10 Nb6005950296645f3acd0f011690c8140
11 Nbd1b4bb9370944e99315734ca504b772
12 Nd2e17ae1067248a88c89331d924109ef
13 Ndfa98a06d9bf4a12a64a9cf8ed839b5d
14 Nfd3026f9bfc44438b0694150e0faf54e
15 anzsrc-for:11
16 anzsrc-for:1103
17 anzsrc-for:1112
18 schema:author N1066f6fdcc4a425fab9d9693b504ab1b
19 schema:citation sg:pub.10.1007/s00259-008-0745-x
20 sg:pub.10.1007/s00259-010-1589-8
21 sg:pub.10.1186/2191-219x-2-61
22 schema:datePublished 2013-04-26
23 schema:datePublishedReg 2013-04-26
24 schema:description PurposeThe aim of this study was to compare the in vivo stability, uptake, and positron emission tomography (PET) imaging performance of a novel estrogen receptor PET tracer, 4-fluoro-11β-methoxy-16α-[18F]fluoroestradiol (4FMFES), with 16α-[18F]fluoroestradiol (FES).ProceduresMC7-L1 and MC4-L2 (ER+) cell lines and their ERα-knockdown variants (ERαKD) were implanted subcutaneously in Balb/c mice. After 21 days, mice were imaged using either FES or 4FMFES. One hour post-injection, static images were acquired for 30 min and the tumor %ID/g uptake values were derived. Biodistribution data were also obtained 1 h following the injection of either FES or 4FMFES. Blood samples were taken at different times and analyzed on thin-layer chromatography to quantify the presence of radiometabolites for each radiotracer. To assess specific targeting to the estrogen receptors, mice bearing only ER+ tumors were treated with the competitive ER inhibitor fulvestrant 48 h prior to imaging with 4FMFES.ResultsMetabolic stability was found to be similar for both tracers in mice. Both FES and 4FMFES differentiated ER+ tumors from ERαKD tumors in biodistribution and PET imaging studies. 4FMFES achieved a significantly higher %ID/g uptake in ER+ tumors and MC4-L2 ERαKD tumors than FES in the PET imaging studies. Also, tumor-to-background ratio was higher in ER+ tumors using 4FMFES compared to FES. Dissection data showed a significantly higher %ID/g in all tested cell lines and ER-rich tissues using 4FMFES versus FES. Fulvestrant-treated mice had either low or undetectable tumor uptake.ConclusionIn a tumor-bearing mouse model, 4FMFES achieves better specific tumor uptake and better contrast than FES, making it a promising candidate for ER imaging.
25 schema:genre article
26 schema:inLanguage en
27 schema:isAccessibleForFree false
28 schema:isPartOf N654c4d4cbf514414b452469329d407ae
29 Nead3a6c2599844da91cd2d63f40d21b8
30 sg:journal.1118463
31 schema:keywords BALB/c mice
32 Cancer Murine Model
33 ConclusionIn
34 ER
35 ER inhibitor
36 ER-rich tissues
37 ERα-knockdown variants
38 ERαKD tumors
39 FES
40 Fulvestrant-treated mice
41 ID/
42 MC4-L2 (ER+) cell lines
43 MC4-L2 ERαKD tumors
44 PET imaging
45 PET imaging studies
46 PET tracers
47 ProceduresMC7-L1
48 ResultsMetabolic stability
49 aim
50 assessment
51 background ratio
52 biodistribution
53 biodistribution data
54 blood samples
55 breast cancer murine model
56 c mice
57 candidates
58 cell lines
59 chromatography
60 competitive ER inhibitor
61 contrast
62 data
63 days
64 different times
65 dissection data
66 emission tomography
67 estrogen receptor
68 estrogen receptor PET tracer
69 good contrast
70 hours
71 images
72 imaging
73 imaging studies
74 inhibitors
75 injection
76 lines
77 mice
78 min
79 model
80 mouse model
81 murine model
82 novel estrogen receptor PET tracer
83 performance
84 positron emission tomography
85 presence
86 presence of radiometabolites
87 promising candidate
88 radiometabolites
89 radiotracer
90 ratio
91 receptor PET tracer
92 receptors
93 samples
94 specific targeting
95 specific tumor uptake
96 stability
97 static images
98 study
99 targeting
100 thin-layer chromatography
101 time
102 tissue
103 tomography
104 tracer
105 tumor uptake
106 tumor-bearing mouse model
107 tumors
108 undetectable tumor uptake
109 uptake
110 uptake value
111 values
112 variants
113 vivo stability
114 schema:name Assessment of the Novel Estrogen Receptor PET Tracer 4-Fluoro-11β-methoxy-16α-[18F]fluoroestradiol (4FMFES) by PET Imaging in a Breast Cancer Murine Model
115 schema:pagination 625-632
116 schema:productId N7265b0b4891145248322227f5e237a9b
117 N925eda55e9d14b24859ab35e2cf59ad7
118 N98b8513c3b0148dc88a8c368f0290985
119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053704473
120 https://doi.org/10.1007/s11307-013-0638-7
121 schema:sdDatePublished 2021-11-01T18:20
122 schema:sdLicense https://scigraph.springernature.com/explorer/license/
123 schema:sdPublisher Na97bd7f30754499c8df0b5a0289f7818
124 schema:url https://doi.org/10.1007/s11307-013-0638-7
125 sgo:license sg:explorer/license/
126 sgo:sdDataset articles
127 rdf:type schema:ScholarlyArticle
128 N04cabbc30c3d418ba5fed178d623cf56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Tissue Distribution
130 rdf:type schema:DefinedTerm
131 N0c763e9b2ac04bfa8b251cd8dc7c58ee rdf:first sg:person.0705063051.83
132 rdf:rest N513126b6eca8464aa809bd9ed266973a
133 N1066f6fdcc4a425fab9d9693b504ab1b rdf:first sg:person.01360506457.74
134 rdf:rest N5e199690d67e479c9d1d6ed7fb8f326d
135 N3b2f3a3faf2243f8844f606ac06de87c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Disease Models, Animal
137 rdf:type schema:DefinedTerm
138 N3deb58cfe28e4bcd897c8f4b086d9311 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Humans
140 rdf:type schema:DefinedTerm
141 N4a8d0518f4914c879425fe9279767ced schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Estradiol
143 rdf:type schema:DefinedTerm
144 N4e9ed3fc663e4eaf9139762cfa222070 rdf:first sg:person.01037134752.82
145 rdf:rest N663ca21def00425f8a67531e7ca266ec
146 N513126b6eca8464aa809bd9ed266973a rdf:first sg:person.01055636711.92
147 rdf:rest Ne6e2f401ad1243d4b186341cf55f8ef5
148 N52b6ec0c3ec148069d7e1edbefcd8923 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Fulvestrant
150 rdf:type schema:DefinedTerm
151 N575409a86fa845e39068a84ff7ca7421 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Mice, Inbred BALB C
153 rdf:type schema:DefinedTerm
154 N5e199690d67e479c9d1d6ed7fb8f326d rdf:first sg:person.01031722755.31
155 rdf:rest N90e3c8719c6e44b9a65f75f43afeb081
156 N61a78278257f4b63adb5afe70642fa22 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Female
158 rdf:type schema:DefinedTerm
159 N654c4d4cbf514414b452469329d407ae schema:issueNumber 5
160 rdf:type schema:PublicationIssue
161 N663ca21def00425f8a67531e7ca266ec rdf:first sg:person.0707506374.64
162 rdf:rest N0c763e9b2ac04bfa8b251cd8dc7c58ee
163 N7265b0b4891145248322227f5e237a9b schema:name doi
164 schema:value 10.1007/s11307-013-0638-7
165 rdf:type schema:PropertyValue
166 N90e3c8719c6e44b9a65f75f43afeb081 rdf:first sg:person.01314240551.16
167 rdf:rest N4e9ed3fc663e4eaf9139762cfa222070
168 N925eda55e9d14b24859ab35e2cf59ad7 schema:name pubmed_id
169 schema:value 23619898
170 rdf:type schema:PropertyValue
171 N98b8513c3b0148dc88a8c368f0290985 schema:name dimensions_id
172 schema:value pub.1053704473
173 rdf:type schema:PropertyValue
174 N9d8be60d3e6d4847b1c962445fa39f58 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Contrast Media
176 rdf:type schema:DefinedTerm
177 Na70de910e3d949309c20aeef8b7d3090 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
178 schema:name Receptors, Estrogen
179 rdf:type schema:DefinedTerm
180 Na97bd7f30754499c8df0b5a0289f7818 schema:name Springer Nature - SN SciGraph project
181 rdf:type schema:Organization
182 Nb6005950296645f3acd0f011690c8140 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Cell Line, Tumor
184 rdf:type schema:DefinedTerm
185 Nbd1b4bb9370944e99315734ca504b772 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
186 schema:name Positron-Emission Tomography
187 rdf:type schema:DefinedTerm
188 Nd2e17ae1067248a88c89331d924109ef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Mammary Neoplasms, Animal
190 rdf:type schema:DefinedTerm
191 Ndfa98a06d9bf4a12a64a9cf8ed839b5d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Animals
193 rdf:type schema:DefinedTerm
194 Ne6e2f401ad1243d4b186341cf55f8ef5 rdf:first sg:person.01023730070.05
195 rdf:rest rdf:nil
196 Nead3a6c2599844da91cd2d63f40d21b8 schema:volumeNumber 15
197 rdf:type schema:PublicationVolume
198 Nfd3026f9bfc44438b0694150e0faf54e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
199 schema:name Mice
200 rdf:type schema:DefinedTerm
201 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
202 schema:name Medical and Health Sciences
203 rdf:type schema:DefinedTerm
204 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
205 schema:name Clinical Sciences
206 rdf:type schema:DefinedTerm
207 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
208 schema:name Oncology and Carcinogenesis
209 rdf:type schema:DefinedTerm
210 sg:journal.1118463 schema:issn 1536-1632
211 1878-5751
212 schema:name Molecular Imaging and Biology
213 schema:publisher Springer Nature
214 rdf:type schema:Periodical
215 sg:person.01023730070.05 schema:affiliation grid-institutes:None
216 schema:familyName Lecomte
217 schema:givenName Roger
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01023730070.05
219 rdf:type schema:Person
220 sg:person.01031722755.31 schema:affiliation grid-institutes:None
221 schema:familyName Phoenix
222 schema:givenName Serge
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031722755.31
224 rdf:type schema:Person
225 sg:person.01037134752.82 schema:affiliation grid-institutes:None
226 schema:familyName Langlois
227 schema:givenName Réjean
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037134752.82
229 rdf:type schema:Person
230 sg:person.01055636711.92 schema:affiliation grid-institutes:grid.17091.3e
231 schema:familyName Bénard
232 schema:givenName Francois
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055636711.92
234 rdf:type schema:Person
235 sg:person.01314240551.16 schema:affiliation grid-institutes:None
236 schema:familyName Ouellet
237 schema:givenName René
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314240551.16
239 rdf:type schema:Person
240 sg:person.01360506457.74 schema:affiliation grid-institutes:None
241 schema:familyName Paquette
242 schema:givenName Michel
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360506457.74
244 rdf:type schema:Person
245 sg:person.0705063051.83 schema:affiliation grid-institutes:None
246 schema:familyName Turcotte
247 schema:givenName Éric E.
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705063051.83
249 rdf:type schema:Person
250 sg:person.0707506374.64 schema:affiliation grid-institutes:None
251 schema:familyName van Lier
252 schema:givenName Johan E.
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0707506374.64
254 rdf:type schema:Person
255 sg:pub.10.1007/s00259-008-0745-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030660233
256 https://doi.org/10.1007/s00259-008-0745-x
257 rdf:type schema:CreativeWork
258 sg:pub.10.1007/s00259-010-1589-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035346598
259 https://doi.org/10.1007/s00259-010-1589-8
260 rdf:type schema:CreativeWork
261 sg:pub.10.1186/2191-219x-2-61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010048792
262 https://doi.org/10.1186/2191-219x-2-61
263 rdf:type schema:CreativeWork
264 grid-institutes:None schema:alternateName Département de médecine nucléaire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada
265 schema:name Département de médecine nucléaire et radiobiologie, Sherbrooke Molecular Imaging Center, 3001, 12th Avenue, J1H 5N4, Sherbrooke, QC, Canada
266 rdf:type schema:Organization
267 grid-institutes:grid.17091.3e schema:alternateName BC Cancer Agency Research Center, Department of Radiology, University of British Columbia, Vancouver, BC, Canada
268 schema:name BC Cancer Agency Research Center, Department of Radiology, University of British Columbia, Vancouver, BC, Canada
269 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...