Evidence map›Paper›PMID 27694056›Full record

ArticleNuclear medicine and biology2016

Copper-64 labeled liposomes for imaging bone marrow.

Sang-Gyu Lee, Kishore Gangangari, Teja Muralidhar Kalidindi, Blesida Punzalan, Steven M Larson, Naga Vara Kishore Pillarsetty

Abstract read
In one paragraph

Article in Nuclear medicine and biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 29 citations in OpenAlex.

  1. Radiolabeled Liposomes for Nuclear Imaging Probes.Molecules (Basel, Switzerland) · 2023
    Review
  2. Article
  3. Ultrasmall Nanoparticle Delivery of Doxorubicin Improves Therapeutic Index for High-Grade Glioma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  4. γ-Tocotrienol-Loaded Liposomes for Radioprotection from Hematopoietic Side Effects Caused by Radiotherapeutic Drugs.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  5. Review
  6. Radiolabeled PET/MRI Nanoparticles for Tumor Imaging.Journal of clinical medicine · 2019
    Review
  7. Review
  8. Supramolecular Organogels Based onNanomaterials (Basel, Switzerland) · 2019
    Article
  9. Article
  10. [International journal of molecular sciences · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sang-Gyu LeeDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Molecular Pharmacology and Chemistry Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Kishore GangangariDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Chemistry, Hunter College, The Graduate Center, The City University of New York, New York, NY; Ph. D program in Chemistry, The Graduate Center, The City University of New York, New York, NY.
Teja Muralidhar KalidindiDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Blesida PunzalanDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Steven M LarsonDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Molecular Pharmacology and Chemistry Program, Memorial Sloan Kettering Cancer Center, New York, NY; Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Radiology, Weill Cornell Medical College, New York, NY. Electronic address: larsons@mskcc.org.
Naga Vara Kishore PillarsettyDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Radiology, Weill Cornell Medical College, New York, NY. Electronic address: pillarsn@mskcc.org.
Memorial Sloan Kettering Cancer Center · USThe Graduate Center, CUNY · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tumor Evolution and Changes in MetabolismP50CA086438 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI RIVIERI, ISABELLE · 2000 to 2015
$29.9M
Biomarkers for predicting response to Hsp90 therapyR01CA172546 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHIOSIS, GABRIELA, DUNPHY, MARK P. · 2013 to 2017
$2.9M
The Ivis Spectrum CT for Pre-Clinical Oncology ResearchS10OD016207 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI ZANZONICO, PAT B · 2013 to 2013
$595k
SHARED INSTRUMENT: FOCUS MICROPET: CANCERS10RR020892 · NCRR · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI LARSON, STEVEN MARK · 2005 to 2005
$499k
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA086438NCI NIH HHS R01 CA172546NCRR NIH HHS S10 RR020892NIH HHS S10 OD016207
6 · The paper itself

Abstract

introductionBone marrow is the soft tissue compartment inside the bones made up of hematopoietic cells, adipocytes, stromal cells, phagocytic cells, stem cells, and sinusoids. While [

methodsOptimized liposomal formulations were prepared with succinyl PE, DSPC, cholesterol, and mPEG-DSPE (69:39:1:10:0.1) with diameters of 90 and 140nm, and were doped with DOTA-Bn-DSPE for stable

resultsPET imaging and biodistribution studies with

conclusionOur results indicate that our novel PET labeled liposomes target bone marrow with very high efficiency and therefore can function as efficient bone marrow imaging agents.

Indexed as

Copper RadioisotopesLiposomesAnimalsBone MarrowDrug CompoundingIsotope LabelingMaleMiceMice, NudePositron Emission Tomography Computed TomographyTissue DistributionCopper RadioisotopesLiposomesBone marrowCopper-64DOTA-Bn-DSPELiposomePet

Identifiers

PMID27694056
PMCPMC5118102
OpenAlexW2512734184

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.