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

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...

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Veröffentlicht in:Cancer research (Chicago, Ill.) Ill.), 2017-04, Vol.77 (7), p.1684-1696
Hauptverfasser: Sundaram, Karthik M, Zhang, Yilin, Mitra, Anirban K, Kouadio, Jean-Louis K, Gwin, Katja, Kossiakoff, Anthony A, Roman, Brian B, Lengyel, Ernst, Piccirilli, Joseph A
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container_end_page 1696
container_issue 7
container_start_page 1684
container_title Cancer research (Chicago, Ill.)
container_volume 77
creator Sundaram, Karthik M
Zhang, Yilin
Mitra, Anirban K
Kouadio, Jean-Louis K
Gwin, Katja
Kossiakoff, Anthony A
Roman, Brian B
Lengyel, Ernst
Piccirilli, Joseph A
description 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. .
doi_str_mv 10.1158/0008-5472.CAN-16-1454
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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 &gt;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. 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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 &gt;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. 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subjects Animal models
Animals
Carcinoma, Ovarian Epithelial
Cell culture
Cell Line, Tumor
Diagnosis
Endocytosis
Female
Fluorescence
Gadolinium
Gadolinium DTPA
Humans
I.R. radiation
Infrared imaging
Internalization
Invasiveness
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Metastases
Mice
Neoplasms, Glandular and Epithelial - diagnostic imaging
Neoplasms, Glandular and Epithelial - metabolism
NMR
Nuclear magnetic resonance
Ovarian cancer
Ovarian Neoplasms - diagnostic imaging
Ovarian Neoplasms - metabolism
Placenta
Placental Lactogen - metabolism
Prolactin
Prolactin - metabolism
Receptors, Prolactin - analysis
Receptors, Prolactin - physiology
Rodents
Sensitivity
Sensitivity and Specificity
Tissue analysis
Tissue Array Analysis
Tissue culture
Tumors
title Prolactin Receptor-Mediated Internalization of Imaging Agents Detects Epithelial Ovarian Cancer with Enhanced Sensitivity and Specificity
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