Evidence map›Paper›PMID 28202518›Full record

ArticleCancer research2017

Prolactin Receptor-Mediated Internalization of Imaging Agents Detects Epithelial Ovarian Cancer with Enhanced Sensitivity and Specificity.

Karthik M Sundaram, Yilin Zhang, Anirban K Mitra, Jean-Louis K Kouadio, Katja Gwin, Anthony A Kossiakoff, Brian B Roman, Ernst Lengyel, Joseph A Piccirilli

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  9. Article
  10. Evaluation of COC183B2 antibody targeting ovarian cancer by near-infrared fluorescence imaging.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019
    Article
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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

9 authors at 2 institutions in 1 country.

Karthik M SundaramDepartment of Biochemistry & Molecular Biology, and Chemistry, The University of Chicago, Chicago, Illinois.
Yilin ZhangDepartment of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, Chicago, Illinois.
Anirban K MitraDepartment of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, Chicago, Illinois.
Jean-Louis K KouadioDepartment of Biochemistry & Molecular Biology, and Chemistry, The University of Chicago, Chicago, Illinois.
Katja GwinDepartment of Pathology, The University of Chicago, Chicago, Illinois.
Anthony A KossiakoffDepartment of Biochemistry & Molecular Biology, and Chemistry, The University of Chicago, Chicago, Illinois.
Brian B RomanDepartment of Radiology, The University of Chicago, Chicago, Illinois.
Ernst LengyelDepartment of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, Chicago, Illinois. elengyel@uchicago.edu jpicciri@uchicago.edu.
Joseph A PiccirilliDepartment of Biochemistry & Molecular Biology, and Chemistry, The University of Chicago, Chicago, Illinois. elengyel@uchicago.edu jpicciri@uchicago.edu.
University of Chicago · USUniversity of Illinois Chicago · US

Funding

MEDICAL SCIENTIST TRAININGT32GM007281 · NIGMS · UNIVERSITY OF CHICAGO · PI CLARK, MARCUS RAMSAY · 1985 to 2022
$32.1M
The Catalytic Mechanism of Nuclear Premessenger RNA Splicing by the SpliceosomeR01GM088656 · NIGMS · UNIVERSITY OF CHICAGO · PI PICCIRILLI, JOSEPH ANTHONY, STALEY, JONATHAN P · 2010 to 2017
$4.2M
Regulation of Adhesion and Proteolysis in Ovarian CancerR01CA111882 · NCI · UNIVERSITY OF CHICAGO · PI LENGYEL, ERNST · 2006 to 2016
$2.8M
Howard Hughes Medical InstituteNCI NIH HHS R01 CA111882NIGMS NIH HHS R01 GM088656NIGMS NIH HHS T32 GM007281
6 · The paper itself

Abstract

Poor prognosis of ovarian cancer, the deadliest of the gynecologic malignancies, reflects major limitations associated with detection and diagnosis. Current methods lack high sensitivity to detect small tumors and high specificity to distinguish malignant from benign tissue, both impeding diagnosis of early and metastatic cancer stages and leading to costly and invasive surgeries. Tissue microarray analysis revealed that >98% of ovarian cancers express the prolactin receptor (PRLR), forming the basis of a new molecular imaging strategy. We fused human placental lactogen (hPL), a specific and tight binding PRLR ligand, to magnetic resonance imaging (gadolinium) and near-infrared fluorescence imaging agents. Both in tissue culture and in mouse models, these imaging bioconjugates underwent selective internalization into ovarian cancer cells via PRLR-mediated endocytosis. Compared with current clinical MRI techniques, this targeted approach yielded both enhanced signal-to-noise ratio from accumulation of signal via selective internalization and improved specificity conferred by PRLR upregulation in malignant ovarian cancer. These features endow PRLR-targeted imaging with the potential to transform ovarian cancer detection.

Indexed as

AnimalsCarcinoma, Ovarian EpithelialCell Line, TumorEndocytosisFemaleGadolinium DTPAHumansMagnetic Resonance ImagingMiceNeoplasms, Glandular and EpithelialOvarian NeoplasmsPlacental LactogenProlactinReceptors, ProlactinSensitivity and SpecificityTissue Array AnalysisGadolinium DTPAPlacental LactogenProlactinReceptors, Prolactin

Identifiers

PMID28202518
PMCPMC5380561
OpenAlexW2588654855

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.