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Intraoperative molecular imaging can identify sub-centimeter peritoneal implants during ovarian cancer cytoreductive surgery
1Department of Obstetrics and Gynecology, PA (USA)
2Department of Surgery, PA (USA)
3Department of Pathology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
4Departments of Biomedical Engineering and Chemistry, Emory University, Atlanta, GA
5Department of Chemistry, Purdue University, West Lafayette, IN
6Center for Precision Surgery, Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (USA)
*Corresponding Author(s): J.L. Tanyi E-mail: janos.tanyi@uphs.upenn.edu
Objective: To investigate the impact of fluorescent imaging on intraoperative identification of sub-centimeter tumor implants as a means of improving detection and removal of cancer deposits. Materials and Methods: In order to confirm the distribution of the folate receptor alpha (FRα), sections of 20 ovarian tumors and seven normal ovarian tissues were obtained and immunohistochemistry was performed using monoclonal antibody mAb343 to evaluate FRα expression. To investigate the value of fluorescent imaging in vivo in ovarian cancer surgery, an animal xenograft model was used. NOD/SCID/Gama mice were subcutaneously or intra-peritoneally injected with IGROV-1, SKOV3, KB cells, and IOSE cells. Surgical evaluation of the tumor infiltrated area was done after the folateFITC conjugate infusion. The surgeon’s visual inspection and palpitation was used first and thereafter fluorescence imaging was applied to determine if additional nodules could be located. In addition, for further in vivo evaluation, five human patients with ovarian cancer were systemically infused with 0.1 mg/kg of the folate-FITC conjugate four hours prior to cytoreductive surgery. During the standard of care operation, the surgeons performed the standard approach and inspected the body cavity for tumor nodules using unaided visual inspection and palpation followed by examination with fluorescence imaging. The authors analyzed the tumor background ratio (TBR) to tumor size for each nodule. Results: Seventeen out of 20 tumors displayed moderate (2+) to strong (3+) expression of FRα with no staining of surrounding stroma. Using fluorescence microscopy, fluorescent dye uptake was seen uniformly on IGROV-1 and SKOV3 cell lines and the intensity peaked at one hour and localized to the cell surface with cytosolic staining. By Day 14, the surgeon, without intraoperative imaging, identified an average of seven nodules per animal (range 0-12), whereas the surgeon could identify a mean of 11 nodules (range 0-18, p < 0.03) with intraoperative imaging. In triplicate experiments, the addition of the intraoperative imaging allowed investigators to locate one to five more nodules per mouse (mean 3.8, p < 0.01). The peak TBR in the primary tumor to normal tissue was at four hours. At that time point, the TBR was 23.6 ± 8.7. In human evaluation, no toxicity was detected. Conclusions: Intraoperative fluorescent imaging of FRα positive ovarian cancer increased the removal of residual disease in murine model effectively during debulking surgery. The application of the technology in human requires future human studies.
Ovarian carcinoma; Folate receptor; Fluorescence imaging; Cytoreduction; Molecular imaging.
J.L. Tanyi,L. Cory,E. DeJesus,J. Keating,J. Predina,S. Nie,C. Deshpande,P. Low,S. Singhal. Intraoperative molecular imaging can identify sub-centimeter peritoneal implants during ovarian cancer cytoreductive surgery. European Journal of Gynaecological Oncology. 2017. 38(4);589-595.
[1] Siegel R.L., Miller K.D., Jemal A.: “Cancer statistics, 2016”. CA. Cancer J. Clin., 2016, 66, 7.
[2] Chang S.J., Bristow R.E., Ryu H.S.: “Impact of complete cytoreduction leaving no gross residual disease associated with radical cytoreductive surgical procedures on survival in advanced ovarian cancer”. Ann. Surg. Oncol,. 2012, 19, 4059.
[3] Holt D., Okusanya O., Judy R., Venegas O., Jiang J., DeJesus E., et al.: “Intraoperative near-infrared imaging can distinguish cancer from normal tissue but not inflammation”. PLoS One, 2014, 9, 103342.
[4] Madajewski B., Judy B.F., Mouchli A., Kapoor V., Holt D., Wang M.D., et al.: “Intraoperative near-infrared imaging of surgical wounds after tumor resections can detect residual disease”. Clin. Cancer Res., 2012, 18, 5741.
[5] Okusanya O.T., Holt D., Heitjan D., Deshpande C., Venegas O., Jiang J., et al.: “Intraoperative near-infrared imaging can identify pulmonary nodules”. Ann Thorac Surg., 2014, 98, 1223.
[6] Okusanya O.T., Madajewski B., Segal E., Judy B.F., Venegas O.G., Judy R.P., et al.: “Small portable interchangeable imager of fluorescence for fluorescence guided surgery and research”. Technol. Cancer Res. Treat., 2015, 14, 213.
[7] Singhal S., Nie S., Wang M.D.: “Nanotechnology applications in surgical oncology”. Annu. Rev. Med., 2010, 61, 359.
[8] van Dam G.M., Themelis G., Crane L.M., Harlaar N.J., Pleijhuis R.G., Kelder W., et al.: “Intraoperative tumor-specific fluorescence imaging in ovarian cancer by folate receptor-alpha targeting: first inhuman results”. Nat. Med., 2011, 17, 1315.
[9] Basal E., Eghbali-Fatourechi G.Z., Kalli K.R., Hartmann L.C., Goodman K.M., Goode E.L., et al.: “Functional folate receptor alpha is elevated in the blood of ovarian cancer patients”. PLoS One, 2009, 4, e6292.
[10] Leung F., Dimitromanolakis A., Kobayashi H., Diamandis E.P., Kulasingam V.: “Folate-receptor 1 (FOLR1) protein is elevated in the serum of ovarian cancer patients”. Clin. Biochem., 2013, 46, 1462.
[11] O’Shannessy D.J., Somers E.B., Palmer L.M., Thiel R.P., Oberoi P., Heath R., et al.: “Serum folate receptor alpha, mesothelin and megakaryocyte potentiating factor in ovarian cancer: association to disease stage and grade and comparison to CA125 and HE4”. J. Ovarian Res., 2013, 6, 29.
[12] Crane L.M., Arts H.J., van Oosten M., Low P.S., van der Zee A.G., van Dam G.M., et al.: “The effect of chemotherapy on expression of folate receptor-alpha in ovarian cancer”. Cell. Oncol. (Dordr)., 2012, 35, 9.
[13] Mantovani L.T., Miotti S., Menard S., Canevari S., Raspagliesi F., Bottini C., et al.: “Folate binding protein distribution in normal tissues and biological fluids from ovarian carcinoma patients as detected by the monoclonal antibodies MOv18 and MOv19”. Eur. J. Cancer, 1994, 30A, 363.
[14] Kalli K.R., Oberg A.L., Keeney G.L., Christianson T.J., Low P.S., Knutson K.L., et al.: “Folate receptor alpha as a tumor target in epithelial ovarian cancer”. Gynecol. Oncol., 2008, 108, 619.
[15] Kelemen L.E., Sellers T.A., Keeney G.L., Lingle W.L.: “Multivitamin and alcohol intake and folate receptor alpha expression in ovarian cancer”. Cancer Epidemiol. Biomarkers Prev., 2005, 14, 2168.
[16] Benard J., Da Silva J., De Blois M.C., Boyer P., Duvillard P., Chiric E., et al.: “Characterization of a human ovarian adenocarcinoma line, IGROV1, in tissue culture and in nude mice”. Cancer Res., 1985, 45,4970.
[17] Predina J.D., Judy B., Fridlender Z.G., Aliperti L.A., Madajewski B., Kapoor V., et al.: “A positive-margin resection model recreates the postsurgical tumor microenvironment and is a reliable model for adjuvant therapy evaluation”. Cancer Biol. Ther., 2012, 13, 745.
[18] Elnakat H., Ratnam M.: Role of folate receptor genes in reproduction and related cancers. Front. Biosci., 2006, 11,506.
[19] Judy R.P., Keating J.J., DeJesus E.M., Jiang J.X., Okusanya O.T., Nie S., et al.: “Quantiication of tumor fluorescence during intraoperative optical cancer imaging”. Sci. Rep., 2016, 5, 16208.
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