Identification of Metabolic Biomarkers Using Serial 18F-FDG PET/CT for Prediction of Recurrence in Advanced Epithelial Ovarian Cancer

Tae Hun Kim, Junhwan Kim, Yeon-Koo Kang, Maria Lee, Hee Seung Kim, Gi Jeong Cheon, Hyun Hoon Chung, Tae Hun Kim, Junhwan Kim, Yeon-Koo Kang, Maria Lee, Hee Seung Kim, Gi Jeong Cheon, Hyun Hoon Chung

Abstract

Purpose: To evaluate the prognostic value of metabolic parameters derived from serial 18F fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with advanced epithelial ovarian cancer (EOC).

Methods: Thirteen patients with advanced EOC who received surgical staging and adjuvant platinum-based combination chemotherapy were prospectively enrolled. 18F-FDG PET/CT was performed before and after the surgical staging, and after third cycle of chemotherapy. Tumor glucose metabolism at baseline and its change after operation and third cycle of chemotherapy such as changes of maximum standardized uptake values (ΔSUVmax) via 18F-FDG PET/CT were measured, and assessed regarding their ability to predict recurrence.

Results: Median duration of progression-free survival (PFS) was 25 months (range, 13-34), and although optimal debulking was performed in 10 patients, 5 (38.5%) patients experienced recurrence. Univariate analyses showed significant associations between recurrence and low ΔSUVmax after surgical staging, and low SUVmax change after third cycle of chemotherapy. Multivariate analysis identified low ΔSUVmax after third cycle of chemotherapy as an independent risk factor for recurrence (P=.047, hazard ratio (HR) 16.375, 95% CI 1.041-257.536). Kaplan-Meier survival curves showed that PFS significantly differed in groups categorized based on ΔSUVmax after chemotherapy (P=.001, log-rank test).

Conclusions: 18F-FDG PET/CT allows for prediction of treatment response by the level of FDG uptake in terms of SUV at baseline and after chemotherapy. The metabolic response measured as ΔSUVmax after third cycle of chemotherapy appears to be promising predictor of recurrence in patients with advanced EOC.

Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Figures

Figure 1
Figure 1
Relative changes in 18F–FDG uptake expressed as SUV from baseline, 3 weeks after operation and after third cycle of chemotherapy treatment (CTx) in high and low ΔSUV groups after third cycle of chemotherapy.
Figure 2
Figure 2
Receiver operating characteristic curve analysis for determining the cut-off value for ΔSUV after third cycle of chemotherapy for predicting recurrence. The area under the ROC curve of ΔSUV after third cycle of chemotherapy was 0.875, and −0.8277 was determined as the cut-off value (P = .028, sensitivity 80%, specificity 100%).
Figure 3
Figure 3
The Kaplan–Meier survival graph of ΔSUV after third cycle of chemotherapy and progression-free survival with ΔSUV above (blue line) and below (green line) cut-off value. Low ΔSUV after third cycle of chemotherapy was associated with shorter progression-free survival (P = .001, log-rank test).
Figure 4
Figure 4
Two representative cases. (A) Fifty-five-year old female with FIGO stage IIIC serous ovarian cyst adenocarcinoma. Preoperative maximal standardized uptake value (SUVmax) was 9.7, postoperative SUVmax was 3.1, and postchemotherapy SUVmax was 0.9, and postchemoΔSUVmax was 0.907 which was a relatively high value among enrolled subjects. Recurrence did not occur during the follow-up period. (B) Forty-two-year old female with FIGO stage IIIC serous ovarian cyst adenocarcinoma. Preoperative SUVmax was 10.8, postoperative SUVmax was 6.1, and postchemotherapy SUVmax was 3.0, and postchemoΔSUVmax was 0.722 which was a relatively low value among enrolled subjects. Recurrence occurred 22 months after operation.

References

    1. Cannistra SA. Cancer of the ovary. N Engl J Med. 2004;351(24):2519–2529. [351/24/2519 (pii)]
    1. Park TW, Kuhn WC. Neoadjuvant chemotherapy in ovarian cancer. Expert Rev Anticancer Ther. 2004;4(4):639–647. [ERA040415 (pii)]
    1. Schwartz PE, Rutherford TJ, Chambers JT, Kohorn EI, Thiel RP. Neoadjuvant chemotherapy for advanced ovarian cancer: long-term survival. Gynecol Oncol. 1999;72(1):93–99. [S0090-8258(98)95236-2 (pii)]
    1. Flamen P, Van Cutsem E, Lerut A, Cambier JP, Haustermans K, Bormans G, De Leyn P, Van Raemdonck D, De Wever W, Ectors N. Positron emission tomography for assessment of the response to induction radiochemotherapy in locally advanced oesophageal cancer. Ann Oncol. 2002;13(3):361–368.
    1. Ott K, Fink U, Becker K, Stahl A, Dittler HJ, Busch R, H Stein, Lordick F, Link T, Schwaiger M. Prediction of response to preoperative chemotherapy in gastric carcinoma by metabolic imaging: results of a prospective trial. J Clin Oncol. 2003;21(24):4604–4610. [JCO.2003.06.574 (pii)]
    1. Wieder HA, Brucher BL, Zimmermann F, Becker K, Lordick F, Beer A, Schwaiger M, Fink U, Siewert JR, Stein HJ. Time course of tumor metabolic activity during chemoradiotherapy of esophageal squamous cell carcinoma and response to treatment. J Clin Oncol. 2004;22(5):900–908. [JCO.2004.07.122 (pii)]
    1. Wahl RL, Zasadny K, Helvie M, Hutchins GD, Weber B, Cody R. Metabolic monitoring of breast cancer chemohormonotherapy using positron emission tomography: initial evaluation. J Clin Oncol. 1993;11(11):2101–2111.
    1. Schelling M, Avril N, Nahrig J, Kuhn W, Romer W, Sattler D, Werner M, Dose J, Jänicke F, Graeff H. Positron emission tomography using [(18)F]Fluorodeoxyglucose for monitoring primary chemotherapy in breast cancer. J Clin Oncol. 2000;18(8):1689–1695.
    1. Avril N, Sassen S, Schmalfeldt B, Naehrig J, Rutke S, Weber WA, Werner M, Graeff H, Schwaiger M, Kuhn W. Prediction of response to neoadjuvant chemotherapy by sequential F-18-fluorodeoxyglucose positron emission tomography in patients with advanced-stage ovarian cancer. J Clin Oncol. 2005;23(30):7445–7453. [JCO.2005.06.965 (pii)]
    1. Nishiyama Y, Yamamoto Y, Kanenishi K, Ohno M, Hata T, Kushida Y, Haba R, Ohkawa M. Monitoring the neoadjuvant therapy response in gynecological cancer patients using FDG PET. Eur J Nucl Med Mol Imaging. 2008;35(2):287–295.
    1. Azuma C, Saji F, Tokugawa Y, Kimura T, Nobunaga T, Takemura M, Kameda T, Tanizawa O. Application of gene amplification by polymerase chain reaction to genetic analysis of molar mitochondrial DNA: the detection of anuclear empty ovum as the cause of complete mole. Gynecol Oncol. 1991;40(1):29–33.
    1. Makhija S, Howden N, Edwards R, Kelley J, Townsend DW, Meltzer CC. Positron emission tomography/computed tomography imaging for the detection of recurrent ovarian and fallopian tube carcinoma: a retrospective review. Gynecol Oncol. 2002;85(1):53–58.
    1. Hubner KF, McDonald TW, Niethammer JG, Smith GT, Gould HR, Buonocore E. Assessment of primary and metastatic ovarian cancer by positron emission tomography (PET) using 2-[18F]deoxyglucose (2-[18F]FDG) Gynecol Oncol. 1993;51(2):197–204.
    1. Chung HH, Kwon HW, Kang KW, Park NH, Song YS, Chung JK, Kang SB, Kim JW. Prognostic value of preoperative metabolic tumor volume and total lesion glycolysis in patients with epithelial ovarian cancer. Ann Surg Oncol. 2012;19(6):1966–1972.
    1. FIGO staging for carcinoma of the vulva, cervix, and corpus uteri. Int J Gynaecol Obstet. 2014;125(2):97–98. [S0020-7292(14)00076-9 (pii)]
    1. Metz CE. Basic principles of ROC analysis. Semin Nucl Med. 1978;8(4):283–298.
    1. Weber WA, Petersen V, Schmidt B, Tyndale-Hines L, Link T, Peschel C, Schwaiger M. Positron emission tomography in non-small-cell lung cancer: prediction of response to chemotherapy by quantitative assessment of glucose use. J Clin Oncol. 2003;21(14):2651–2657. [JCO.2003.12.004 (pii)]
    1. Downey RJ, Akhurst T, Ilson D, Ginsberg R, Bains MS, Gonen M, Koong H, Gollub M, Minsky BD, Zakowski M. Whole body 18FDG-PET and the response of esophageal cancer to induction therapy: results of a prospective trial. J Clin Oncol. 2003;21(3):428–432.
    1. Romero-Laorden N, Olmos D, Fehm T, Garcia-Donas J, Diaz-Padilla I. Circulating and disseminated tumor cells in ovarian cancer: a systematic review. Gynecol Oncol. 2014;133(3):632–639. [S0090-8258(14)00252-2 (pii)]
    1. Vencken PM, Kriege M, Hoogwerf D, Beugelink S, van der Burg ME, Hooning MJ, Berns EM, Jager A, Collée M, Burger CW. Chemosensitivity and outcome of BRCA1- and BRCA2-associated ovarian cancer patients after first-line chemotherapy compared with sporadic ovarian cancer patients. Ann Oncol. 2011;22(6):1346–1352. [mdq628 (pii)]

Source: PubMed

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