Evidence map›Paper›PMID 28603079›Full record

ArticleNanomedicine : nanotechnology, biology, and medicine2017

Ultrasound molecular imaging of ovarian cancer with CA-125 targeted nanobubble contrast agents.

Yong Gao, Christopher Hernandez, Hai-Xia Yuan, Jacob Lilly, Pavan Kota, Haoyan Zhou, Hanping Wu, Agata A Exner

Abstract read
In one paragraph

Article in Nanomedicine : nanotechnology, biology, and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

  1. Review
  2. Article
  3. Molecular Ultrasound Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Early Detection of Ovarian Cancer.Cold Spring Harbor perspectives in medicine · 2023
    Review
  11. Review
  12. Article
  13. The Influence of Nanobubble Size and Stability on Ultrasound Enhanced Drug Delivery.Langmuir : the ACS journal of surfaces and colloids · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Applications of Ultrasound-Mediated Drug Delivery and Gene Therapy.International journal of molecular sciences · 2021
    Review
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

8 authors.

Yong GaoDepartment of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China; Department of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: yxg306@case.edu.
Christopher HernandezDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: Cxh404@case.edu.
Hai-Xia YuanDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: haixiayuan75@163.com.
Jacob LillyDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: Jacob.Lilly@case.edu.
Pavan KotaDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: Pavan.kota@case.edu.
Haoyan ZhouDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: Hxz143@case.edu.
Hanping WuDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: hanping.wu@case.edu.
Agata A ExnerDepartment of Radiology, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH, USA. Electronic address: agata.exner@case.edu.

Funding

Improved Detection of Prostate Cancer with Nanoparticle-based Ultrasound Contrast Agents Targeted to PSMAR01EB025741 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI James Peter Basilion, Agata A Exner · 2018 to 2026
$4.1M
Sensitizer Delivery for Focused Hyperthermia Cancer TreatmentR01CA136857 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI EXNER, AGATA A · 2009 to 2013
$1.9M
NCI NIH HHS R01 CA136857NIBIB NIH HHS R01 EB025741
6 · The paper itself

Abstract

Ultrasound is frequently utilized in diagnosis of gynecologic malignancies such as ovarian cancer. Because epithelial ovarian cancer (EOC) is often characterized by overexpression of cancer antigen 125 (CA-125), ultrasound contrast agents able to target this molecular signature could be a promising complementary strategy. In this work, we demonstrate application of CA-125-targeted echogenic lipid and surfactant-stabilized nanobubbles imaged with standard clinical contrast harmonic ultrasound for imaging of CA-125 positive OVCAR-3 tumors in mice. Surface functionalization of the nanobubbles with a CA-125 antibody achieved rapid significantly (P < 0.05) enhanced tumor accumulation, higher peak ultrasound signal intensity and slower wash out rates in OVCAR-3 tumors compared to CA-125 negative SKOV-3 tumors. Targeted nanobubbles also exhibited increased tumor retention and prolonged echogenicity compared to untargeted nanobubbles. Data suggest that ultrasound molecular imaging using CA-125 antibody-conjugated nanobubbles may contribute to improved diagnosis of EOC.

Indexed as

MicrobubblesAnimalsAntibodies, ImmobilizedCA-125 AntigenCell Line, TumorContrast MediaFemaleHumansMice, Inbred BALB CMice, NudeMolecular ImagingOvarian NeoplasmsOvaryUltrasonographyAntibodies, ImmobilizedCA-125 AntigenContrast MediaCa-125Contrast enhanced ultrasoundMolecular imagingNanobubblesOvarian cancerTargeted contrast agents

Identifiers

PMID28603079
PMCPMC11686501

What OpenQuestion holds

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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.