- Research article
- Open Access
Intracellular hypoxia measured by 18F-fluoromisonidazole positron emission tomography has prognostic impact in patients with estrogen receptor-positive breast cancer
Breast Cancer Researchvolume 20, Article number: 78 (2018)
The Correction to this article has been published in Breast Cancer Research 2018 20:107
Hypoxia is a key driver of cancer progression. We evaluated the prognostic impact of 18F-fluoromisonidazole (FMISO) prior to treatment in patients with breast cancer.
Forty-four patients with stage II/III primary breast cancer underwent positron emission tomography/computed with 18F-fluorodeoxyglucose (FDG-PET/CT) and FMISO. After measurement by FDG-PET/CT, the tissue-to-blood ratio (TBR) was obtained using FMISO-PET/CT. FMISO-TBR was compared for correlation with clinicopathological factors, disease-free survival (DFS), and overall survival (OS). Multiplex cytokines were analyzed for the correlation of FMISO-TBR.
Tumors with higher nuclear grade and negativities of estrogen receptor (ER) and progesterone receptor had significantly higher FMISO-TBR than other tumors. Kaplan-Meier survival curves showed that patients with a higher FMISO-TBR (cutoff, 1.48) had a poorer prognosis of DFS (p = 0.0007) and OS (p = 0.04) than those with a lower FMISO-TBR. Multivariate analysis indicated that higher FMISO-TBR and ER negativity were independent predictors of shorter DFS (p = 0.01 and 0.03). Higher FMISO-TBR was associated with higher plasma levels of angiogenic hypoxic markers such as vascular endothelial growth factor, transforming growth factor-α, and interleukin 8.
FMISO-PET/CT is useful for assessing the prognosis of patients with breast cancer, but it should be stratified by ER status.
UMIN Clinical Trials Registry, UMIN000006802. Registered on 1 December 2011.
There is robust evidence that tumor hypoxia, a distinguishing feature of various solid tumors, is a major contributor to cancer progression and resistance to therapy [1, 2]. The development of hypoxia in the tumor microenvironment is a dynamic process that is mediated primarily by hypoxia-inducible factor (HIF)-1 through the activation of unregulated glycolysis, angiogenesis, and p53 mutation . However, despite wide understanding of the negative impact of tumor hypoxia associated with cancer progression, only few clinical tools are available to directly measure the hypoxic activity of breast cancer, which to date has not been stratified by intrinsic tumor subtypes by means of immunohistochemistry [4, 5]. Although the measurement of hypoxic activity by the methods of partial pressure of Oxygen electrode or molecular assessment using tissue samples has been reported to be useful, such methods are invasive and restricted to accessible tumors [6, 7]. A noninvasive method of measuring hypoxia is clinically required for application in metastatic cancer and for monitoring therapeutic response. Currently, 18F-fluoromisonidazole (FMISO) positron emission tomography (PET) with computed tomography (CT) is the most widely accepted imaging technology available for the localization and quantification of intracellular hypoxia of tumor in vivo . FMISO taken in cells is reduced by nitroreductase enzymes under low partial pressure of oxygen. FMISO is not trapped in necrotic cells or normoxic cells, because no reduction by the enzymes or reoxidization of the tracer eventually diffuses out through vessels. Therefore, FMISO selectively accumulates in viable hypoxic cells but not in necrotic cells and normoxic cells . Chapman et al. indicated that nitroimidazole has an affinity for hypoxic cells, suggesting that it may be useful for extracting images of hypoxic cells .
The utility of FMISO-PET/CT in oncology has been well documented in several clinical studies in patients with gliomas, non-small lung cancer, head and neck cancer, and breast cancer [11,12,13,14]. The general consensus derived from these studies is that FMISO-PET/CT provides heterogeneity of hypoxic activity depending on cancer types and promises to help facilitate image-guided therapy . Although previous reports on various solid tumors have shown a worse prognosis if patients had higher tumor uptake of FMISO, there are no reports on patients with primary breast cancer.
We previously demonstrated in the clinical imaging study that when patients with advanced breast cancer underwent serial FMISO-PET/CT scans at pretherapy and after two cycles of bevacizumab and paclitaxel, a high FMISO uptake of tumor was characteristics of nonresponders to bevacizumab combined chemotherapy . We conducted the present clinical study to determine whether the degree of FMISO uptake predicts survival in patients with primary breast cancer. The primary aim was to evaluate the association of baseline hypoxia as measured by FMISO-PET/CT prior to the treatment of primary breast cancer with disease-free survival (DFS). Multiplex cytokine analysis was also conducted.
Between December 2011 and March 2015, a total of 44 patients with clinical stage II/III pathologically proven invasive breast cancer of the primary site were enrolled. Patients who had already received prior treatments for the disease before PET scanning were excluded. Other exclusion criteria included patients with pregnancy, those aged < 18 years, and those with bilateral breast cancer. Eligible patients underwent 18F-fluorodeoxyglucose (FDG)-PET/CT first and then FMISO-PET/CT separately several days after FDG-PET/CT. They underwent magnetic resonance imaging (MRI) of the breasts to measure tumor size and the spread of tumor invasion. PET was performed at least 1 week after core biopsy. The pathological diagnosis was determined by agreement between two pathologists, including one experienced breast pathologist (TH). Eleven patients primarily received definitive surgery. Thirty-three patients received neoadjuvant chemotherapy and then underwent definitive surgery. They received adjuvant treatment with endocrine therapy and/or radiotherapy if required according to practice guidelines. The ethics committee of the Saitama Medical University International Medical Center approved the study. Written informed consent was obtained from each patient who participated in the study. The study was registered in the UMIN Clinical Trials Registry (UMIN000006802).
PET study protocol
The Biograph 6/16 scanner (Siemens, Erlangen, Germany) was used for FDG-PET/CT and FMISO-PET/CT. The patients fasted for at least 6 hours before the administration of tracers. The static PET images were acquired at 1 and 2 hours after the intravenous injections of FDG (3.7 MBq/kg) and FMISO (7.4 MBq/kg), respectively. The images were acquired using the three-dimensional mode and reconstructed with ordered subset expectation maximization. On the FMISO-PET/CT study, two nuclear medicine physicians (TY, IK) determined a tumor lesion of the target by referring to the FDG-PET/CT and MRI images. ROIs were placed over the primary tumor, and maximum standardized uptake value (SUVmax) was measured. SUV was calculated according to the following formula: SUV = activity concentration in ROI (MBq/ml)/injection dose (MBq/kg body weight). In addition, quantification of FMISO in image-derived tissue regions used as surrogates for blood activity was performed. The SUV of 2-cm circular regions placed on approximately 2 cm of axial distance over the left ventricular cavity was measured. The tissue-to-blood ratio (TBR) was calculated to normalize to the reference activity .
The expression of estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), and MIB1 was immunohistochemically examined for all specimens. The data were obtained from pathological reports. In the present study, a hormone receptor status of ≥ 10% nuclear staining was regarded as positive, whereas any status of < 10% nuclear staining was regarded as negative. Cases with a score of > 3 were considered to overexpress HER2. If the score was > 2, fluorescence in situ hybridization (FISH) was performed. When the amplification of HER2 was detected using FISH, the result was considered to be positive. Others were considered as negative. We set the cutoff at 14% of Ki-67 labeling index for differentiating breast tumors into luminal A type and luminal B type .
Multiplex cytokine assay
Seventeen patients agreed to participate in the blood biomarker study and peripheral blood samples of the patients were collected for measuring cancer-related cytokines. Plasma samples were separated by centrifugation, aliquoted, and stored at − 80 °C. Enzyme-linked immunosorbent assays were performed for epidermal growth factor, eotaxin, fibroblast growth factor 2, Flt3L, fractalkine, granulocyte colony-stimulating factor, granulocyte-macrophage colony-stimulating factor, GRO, interferon (IFN)-α2, IFN-γ, interleukin (IL)-10, IL-12p40, IL-12p70, IL-13, IL-15, IL-17A, IL-1α, IL-1β, IL-1RA, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IL-10, monocyte chemoattractant protein (MCP)-1, MCP-3, macrophage-derived chemokine, macrophage inflammatory protein (MIP)-1α, MIP-1β, sCD40L, transforming growth factor (TGF)-α, tumor necrosis factor-β, and vascular endothelial growth factor (VEGF) with a chemiluminescence immunoassay-certified multiplex protein array using the MILLIPLEX MAP Human Cytokine/Chemokine Magnetic Bead Panel (HCYTMAG-60 K-PX38; EMD Merck Millipore, Darmstadt, Germany). All samples were assayed in duplicates.
The primary objective of the study was to determine the association of baseline FMISO-TBR with DFS in patients with newly diagnosed primary breast cancer. Secondary aims included correlation of FMISO-TBR with tumor characteristics and overall survival (OS). The correlations between parameters were assessed using Student’s t test. All data are presented as mean ± SD. Kaplan-Meier survival estimates for time to recurrence and death were generated along with the median survival time with its 95% CI. The log-rank test was performed for comparisons between the survival curves. ROC curves for parameters constructed for DFS and AUC were estimated. The tentative cutoff value of FMISO-TBR was set as 1.48, referencing previous study results . Prognostic parameters were separately modeled using a univariate Cox proportional hazards regression model for DFS and OS. The HR, along with its 95% CI and p value based on the Wald statistic, was reported. A p value < 0.05 was considered statistically significant. All analyses were performed using Medcalc version 17.6 statistical software (Medcalc, Ostend, Belgium).
Forty-four patients with newly diagnosed primary breast cancer underwent both FDG-PET/CT and FMISO-PET/CT scans. All patients underwent definitive surgery (mastectomy or partial resection) with sentinel lymph node biopsy and/or axillary dissection. Twenty-two (50%) patients had clinical stage II breast cancer, and the others had clinical stage III breast cancer. Patient characteristics, including tumor size, histology, and hormone receptor and HER2 status, are shown in Table 1. Overall, 39 (88.6%) patients received four to eight courses of standard chemotherapy including anthracycline and/or taxane in the adjuvant or neoadjuvant setting. All patients with hormone receptor-positive breast cancer received adjuvant endocrine therapy including tamoxifen or an aromatase inhibitor for at least 5 years.
FDG-PET and FMISO-PET imaging markers
As shown in Table 1, FDG-SUVmax was significantly correlated with age (p = 0.02), tumor size (p = 0.02), and nodal metastasis (p = 0.01), and FMISO-TBR was significantly correlated with larger tumor size (p = 0.03), higher nuclear grade (p = 0.007), and negativities of estrogen receptors (p = 0.04) and progesterone receptor (p = 0.009). When FDG-SUVmax and FMISO-TBR were compared, the correlations between the pairs of tracers in 44 patients were statistically significant (r = 0.66; 95% CI, 0.48–0.80; p < 0.0001). Regarding intrinsic subtypes, as shown in Fig. 1, triple-negative breast cancer tumors had a significantly higher FMISO-TBR than luminal A tumors (p = 0.03). There were no significant differences between luminal A and luminal B tumors (p = 0.1) or between luminal A and HER2-type tumors (p = 0.1).
The median time of DFS and OS for the 44 patients were 1173 days (95% CI, 980–1274 days) and 1355 days (95% CI, 1208–1529 days), respectively. ROC analysis revealed that FMISO-TBR (AUC = 0.71; 0.1 SE; 95% CI, 0.56–0.84) was more predictive of DFS than was FDG-SUVmax (AUC = 0.55; 0.11 SE; 95% CI, 0.35–0.66; p = 0.003). When the tentative cutoff value of FMISO-TBR was set as 1.48, Kaplan-Meier survival analysis showed that tumors with higher FMISO-TBR had a poorer prognosis than those with lower FMISO-TBR with statistical significance for DFS (p = 0.0007) (Fig. 2a) and OS (p = 0.04) (Fig. 2b). When stratified by ER status, the results were found to be unique. FMISO-TBR in ER-negative tumors had no prognostic impact for DFS (p = 0.9) or OS (p = 0.5), whereas ER-positive tumors with higher FMISO-TBR had a poorer prognosis than those with lower FMISO-TBR with statistical significance for DFS (p < 0.0001) (Fig. 2c) and for OS (p < 0.0001) (Fig. 2d).
Cox regression analysis
In the univariate Cox model, higher FMISO-TBR (p = 0.002) and ER negativity (p = 0.03) were significantly associated with a shorter DFS, as shown in Table 2. Both factors maintained their significant associations in a multivariate Cox model that included tumor size, nuclear grade, and nodal involvement. None of the markers had significant associations with OS.
Multiplex cytokine analysis
Plasma samples were used for multiplex cytokine analysis. As shown in Table 3, tumors with higher FMISO-TBR had significantly higher plasma concentrations of VEGF (pg/ml) (272.2 ± 188.4 vs. 62.1 ± 49.5, p = 0.006), TGF-α (pg/ml) (5.3 ± 2.4 vs. 1.6 ± 2.0, p = 0.01), and IL-8 (pg/ml) (14.7 ± 8.9 vs. 4.8 ± 2.9, p = 0.01) than tumors with lower FMISO-TBR (Student’s t test).
We found that the activity of intracellular hypoxia, as measured by FMISO-PET/CT, was associated with a shorter DFS in patients with primary breast cancer. The results provide clinical evidence of the negative prognostic value of tumor hypoxia among patients with breast cancer. Our findings are in agreement with previously published data on patients with glioma [20, 21], head and neck cancer [11, 22, 23], and non-small cell lung cancer . Moreover, the multivariate analysis in the present study indicated tumor hypoxia and ER status as independent from tumor size, nuclear grade, and nodal involvement with regard to the DFS of patients with primary breast cancer. ER-positive tumors showed a more prognostic impact on FMISO-TBR than ER-negative tumors. This finding suggests that although FMISO-TBR is an indicator of metastatic potential of breast tumors, its hypoxic activity should be stratified by ER status when assessing the baseline risk of prognosis. Our findings regarding hypoxia and ER status were in line with previous studies that used complementary DNA microarrays. For instance, a 13-gene hypoxia signature was at a much higher level in the basal-like and claudin-low groups than in the luminal groups, and the HER2-enriched group had a wide deviation of expression levels of hypoxia-related gene signatures . Interestingly, although ER-negative tumors had more attribution to a higher level of FMISO-TBR than luminal A tumors, FMISO-TBR showed a more prognostic impact in ER-positive tumors than in ER-negative tumors. This may be because hypoxia drives angiogenesis, metastasis, and hyperglycolysis via the activation of phosphoinositide 3-kinase (PI3K)-AKT signaling, and ER-negative tumors have a higher hypoxic activity than ER-positive tumors. However, the prognostic relevance of ER-negative tumors may be independent of their hypoxic status. In contrast, because ER-positive tumors were regulated by both ER and PI3K-AKT signaling, the dominant activation of PI3K-AKT signaling compared with that of ER signaling in ER-positive tumors may have led to a higher hypoxic activity and poorer prognosis.
Multiplex cytokine analysis revealed a strong relationship of tumor FMISO-TBR and cytokines/chemokines such as VEGF, TGF-α, and IL-8. HIF-1α, a transcription factor, regulates the expression of numerous genes of potent angiogenic cytokines, such as VEGF and TGF-α. IL-8 is a proinflammatory chemokine that belongs to the CXC subfamily, which directly stimulates VEGF. A gene expression database using Kaplan-Meier plotter (http://kmplot.com/analysis) revealed that high levels of these three cytokines were associated with poor relapse-free survival of patients with breast cancer. Thus, hypoxia induced several cytokines and chemokines, which could provide a direct determinant for the metastatic potential in patients with breast cancer. The clinical application of hypoxia imaging has provided essential information on tumor microenvironmental biology, adding to information on tumor size, growth factor receptors, and cellular proliferation. Hypoxia imaging may enable tailoring therapeutic strategies based on baseline risk assessment [26,27,28,29].
Our study had certain limitations. Regarding the study protocol of FMISO-PET/CT, we considered a cutoff value of 1.48 of FMISO-TBR as a reasonable threshold by evaluating the results of the present study. There was a high correlation between FMISO-SUVmax and FMISO-TBR, as shown in Additional file 1: Figure S1; however, the use of SUVmax is not appropriate by itself, because clearance of background activity needs be accounted for. In the present study, we found a difference in FMISO uptake between ER-positive and ER-negative breast cancer. However, how ER is involved with an imaging biomarker for hypoxia remains uncertain. Because hypoxic parameters and the cutoff value are considered tentative, further investigation is required using numerous patients’ data for calculating an optimal cutoff value to identify patients with poor prognosis. Considering a limited number of patients and the single-center study design, further studies with a larger population in a multicenter trial will be required to validate our findings, because several studies have used different protocols of PET scanning and devices [13, 30, 31].
To the best of our knowledge, this is the first report showing that pretherapy FMISO uptake in primary breast cancer is a strong predictor for survival among patients with ER-positive breast cancer but not among those with ER-negative breast cancer. FMISO-PET/CT noninvasively provides hypoxic information and helps identify patients with a baseline risk of early recurrence and those eligible for antiangiogenic therapy, regardless of tumor size, nuclear grade, and nodal metastasis. Further prospective studies using FMISO-PET/CT are warranted before a hypoxia imaging-directed therapy is developed.
Jain RK. Normalization of tumor vasculature: an emerging concept in antiangiogenic therapy. Science. 2005;307(5706):58–62.
Hsu PP, Sabatini DM. Cancer cell metabolism: Warburg and beyond. Cell. 2008;134(5):703–7.
Rajendran JG, Krohn KA. F-18 fluoromisonidazole for imaging tumor hypoxia: imaging the microenvironment for personalized cancer therapy. Semin Nucl Med. 2015;45(2):151–62.
Cheang MC, Chia SK, Voduc D, Gao D, Leung S, Snider J, Watson M, Davies S, Bernard PS, Parker JS, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst. 2009;101(10):736–50.
Sorlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, Hastie T, Eisen MB, van de Rijn M, Jeffrey SS, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 2001;98(19):10869–74.
Vujaskovic Z, Rosen EL, Blackwell KL, Jones EL, Brizel DM, Prosnitz LR, Samulski TV, Dewhirst MW. Ultrasound guided pO2 measurement of breast cancer reoxygenation after neoadjuvant chemotherapy and hyperthermia treatment. Int J Hypothermia. 2003;19(5):498–506.
Hussain SA, Ganesan R, Reynolds G, Gross L, Stevens A, Pastorek J, Murray PG, Perunovic B, Anwar MS, Billingham L, et al. Hypoxia-regulated carbonic anhydrase IX expression is associated with poor survival in patients with invasive breast cancer. Br J Cancer. 2007;96(1):104–9.
Kelada OJ, Rockwell S, Zheng MQ, Huang Y, Liu Y, Booth CJ, Decker RH, Oelfke U, Carson RE, Carlson DJ. Quantification of tumor hypoxic fractions using positron emission tomography with [18F]fluoromisonidazole ([18F]FMISO) kinetic analysis and invasive oxygen measurements. Mol Imaging Biol. 2017;19:893–902.
Lee ST, Scott AM. Hypoxia positron emission tomography imaging with 18F-fluoromisonidazole. Semin Nucl Med. 2007;37(6):451–61.
Chapman JD. Hypoxic sensitizers—implications for radiation therapy. N Engl J Med. 1979;301(26):1429–32.
Kikuchi M, Yamane T, Shinohara S, Fujiwara K, Hori SY, Tona Y, Yamazaki H, Naito Y, Senda M. 18F-fluoromisonidazole positron emission tomography before treatment is a predictor of radiotherapy outcome and survival prognosis in patients with head and neck squamous cell carcinoma. Ann Nucl Med. 2011;25(9):625–33.
Gerstner ER, Zhang Z, Fink JR, Muzi M, Hanna L, Greco E, Prah M, Schmainda KM, Mintz A, Kostakoglu L, et al. ACRIN 6684: assessment of tumor hypoxia in newly diagnosed glioblastoma using 18F-FMISO PET and MRI. Clin Cancer Res. 2016;22(20):5079–86.
Eschmann SM, Paulsen F, Reimold M, Dittmann H, Welz S, Reischl G, Machulla HJ, Bares R. Prognostic impact of hypoxia imaging with 18F-misonidazole PET in non-small cell lung cancer and head and neck cancer before radiotherapy. J Nucl Med. 2005;46(2):253–60.
Cheng J, Lei L, Xu J, Sun Y, Zhang Y, Wang X, Pan L, Shao Z, Zhang Y, Liu G. 18F-fluoromisonidazole PET/CT: a potential tool for predicting primary endocrine therapy resistance in breast cancer. J Nucl Med. 2013;54(3):333–40.
Krohn KA, Yeuh B. Novel imaging approaches to head and neck cancer. Semin Oncol. 2008;35(3):262–73.
Ueda S, Saeki T, Osaki A, Yamane T, Kuji I. Bevacizumab induces acute hypoxia and cancer progression in patients with refractory breast cancer: multimodal functional imaging and multiplex cytokine analysis. Clin Cancer Res. 2017;23(19):5769–78.
Muzi M, Peterson LM, O’Sullivan JN, Fink JR, Rajendran JG, McLaughlin LJ, Muzi JP, Mankoff DA, Krohn KA. 18F-fluoromisonidazole quantification of hypoxia in human cancer patients using image-derived blood surrogate tissue reference regions. J Nucl Med. 2015;56(8):1223–8.
Bustreo S, Osella-Abate S, Cassoni P, Donadio M, Airoldi M, Pedani F, Papotti M, Sapino A, Castellano I. Optimal Ki67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-up. Breast Cancer Res Treat. 2016;157(2):363–71.
Rajendran JG, Mankoff DA, O’Sullivan F, Peterson LM, Schwartz DL, Conrad EU, Spence AM, Muzi M, Farwell DG, Krohn KA. Hypoxia and glucose metabolism in malignant tumors: evaluation by [18F]fluoromisonidazole and [18F]fluorodeoxyglucose positron emission tomography imaging. Clin Cancer Res. 2004;10(7):2245–52.
Toyonaga T, Yamaguchi S, Hirata K, Kobayashi K, Manabe O, Watanabe S, Terasaka S, Kobayashi H, Hattori N, Shiga T, et al. Hypoxic glucose metabolism in glioblastoma as a potential prognostic factor. Eur J Nucl Med Mol Imaging. 2017;44(4):611–9.
Bekaert L, Valable S, Lechapt-Zalcman E, Ponte K, Collet S, Constans JM, Levallet G, Bordji K, Petit E, Branger P, et al. [18F]-FMISO PET study of hypoxia in gliomas before surgery: correlation with molecular markers of hypoxia and angiogenesis. Eur J Nucl Med Mol Imaging. 2017;44:1383–92.
Rajendran JG, Schwartz DL, O’Sullivan J, Peterson LM, Ng P, Scharnhorst J, Grierson JR, Krohn KA. Tumor hypoxia imaging with [F-18]fluoromisonidazole positron emission tomography in head and neck cancer. Clin Cancer Res. 2006;12(18):5435–41.
Wiedenmann NE, Bucher S, Hentschel M, Mix M, Vach W, Bittner MI, Nestle U, Pfeiffer J, Weber WA, Grosu AL. Serial [18F]-fluoromisonidazole PET during radiochemotherapy for locally advanced head and neck cancer and its correlation with outcome. Radiother Oncol. 2015;117(1):113–7.
Vera P, Thureau S, Chaumet-Riffaud P, Modzelewski R, Bohn P, Vermandel M, Hapdey S, Pallardy A, Mahe MA, Lacombe M, et al. Phase II study of a radiotherapy total dose increase in hypoxic lesions identified by 18F-misonidazole PET/CT in patients with non-small cell lung carcinoma (RTEP5 Study). J Nucl Med. 2017;58(7):1045–53.
Hu Z, Fan C, Livasy C, He X, Oh DS, Ewend MG, Carey LA, Subramanian S, West R, Ikpatt F, et al. A compact VEGF signature associated with distant metastases and poor outcomes. BMC Med. 2009;7:9.
Kelloff GJ, Krohn KA, Larson SM, Weissleder R, Mankoff DA, Hoffman JM, Link JM, Guyton KZ, Eckelman WC, Scher HI, et al. The progress and promise of molecular imaging probes in oncologic drug development. Clin Cancer Res. 2005;11(22):7967–85.
Rischin D, Hicks RJ, Fisher R, Binns D, Corry J, Porceddu S, Peters LJ, Trans-Tasman Radiation Oncology Group Study 98.02. Prognostic significance of [18F]-misonidazole positron emission tomography-detected tumor hypoxia in patients with advanced head and neck cancer randomly assigned to chemoradiation with or without tirapazamine: a substudy of Trans-Tasman Radiation Oncology Group Study 98.02. J Clin Oncol. 2006;24(13):2098–104.
Okamoto S, Shiga T, Yasuda K, Watanabe S, Hirata K, Nishijima KI, Magota K, Kasai K, Onimaru R, Tuchiya K, et al. The reoxygenation of hypoxia and the reduction of glucose metabolism in head and neck cancer by fractionated radiotherapy with intensity-modulated radiation therapy. Eur J Nucl Med Mol Imaging. 2016;43(12):2147–54.
Quintela-Fandino M, Lluch A, Manso L, Calvo I, Cortes J, Garcia-Saenz JA, Gil-Gil M, Martinez-Janez N, Gonzalez-Martin A, Adrover E, et al. 18F-fluoromisonidazole PET and activity of neoadjuvant nintedanib in early HER2-negative breast cancer: a window-of-opportunity randomized trial. Clin Cancer Res. 2017;23(6):1432–41.
Tatum JL, Kelloff GJ, Gillies RJ, Arbeit JM, Brown JM, Chao KS, Chapman JD, Eckelman WC, Fyles AW, Giaccia AJ, et al. Hypoxia: importance in tumor biology, noninvasive measurement by imaging, and value of its measurement in the management of cancer therapy. Int J Radiat Biol. 2006;82(10):699–757.
Thureau S, Chaumet-Riffaud P, Modzelewski R, Fernandez P, Tessonnier L, Vervueren L, Cachin F, Berriolo-Riedinger A, Olivier P, Kolesnikov-Gauthier H, et al. Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3′-deoxy-3′-18F-fluorothymidine PET images in lung cancer. J Nucl Med. 2013;54(9):1543–50.
We are grateful to all patients who participated in this study.
This work was supported by Japan Society for the Promotion of Science KAKEN 16 K10361, 16 K10293, and 17H03591.
Availability of data and materials
All datasets analyzed during the present study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Study participants signed informed consent forms to allow to them to undergo PET/CT scans. A review board at the Saitama Medical University International Medical Center approved the study. The clinical protocol and the companion translational research study were approved by the local institutional review board.
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure S1. Correlation between tumor FMISO-SUVmax and FMISO-TBR. Regression plots between tumor FMISO-SUVmax and FMISO-TBR showed high correlation at r = 0.94. (TIF 66 kb)