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Prospective comparison of early interim 18F-FDG-PET with 18F-FLT-PET for predicting treatment response and survival in metastatic breast cancer

BMC Cancer volume 21, Article number: 908 (2021) Cite this article

Abstract

Background

To compare the value of interim 18F-FLT-PET and 18F-FDG-PET for predicting treatment outcomes in patients with metastatic breast cancer after salvage therapy.

Methods

Patients with metastatic breast cancer received PET/CT using 18F-FLT and 18F-FDG at baseline, after the 1st and 2nd cycle of systemic chemotherapy. The clinical response was classified according to Response Evaluation Criteria in Solid Tumors 1.1 based on contrast-enhanced CT after 3 months of systemic chemotherapy. The metabolic response on PET was assessed according to European Organization for Research and Treatment of Cancer criteria or PET Response Criteria in Solid Tumors (PERCIST) and was correlated to the clinical response, overall survival (OS), and progression-free survival (PFS).

Results

Twenty-five patients entered final analysis. On 18F-FDG-PET, clinical responders after 2 chemotherapy cycles (post-2c) had a significantly greater reduction of maximal standardized uptake value (SUV) and the peak SUV corrected for lean body mass (SULpeak) of the tumor than non-responders (P = 0.030 and 0.003). Metabolic response determined by PERCIST on post-2c 18F-FDG-PET showed a high area under the receiver operating characteristics curve of 0.801 in predicting clinical response (P = 0.011). Patients who were metabolic responders by PERCIST on post-2c 18F-FDG-PET had a significantly longer PFS (53.8% vs. 16.7%, P = 0.014) and OS (100% vs. 47.6%, P = 0.046) than non-responders. Survival differences between responders and non-responders in the interim 18F-FLT-PET were not significant.

Conclusions

18F-FLT-PET failed to show an advantage over 18F-FDG-PET in predicting the treatment response and survival in patients with metastatic breast cancer. Assessment of treatment outcome by interim 18F-FDG-PET may aid treatment.

Trial registration

The study was retrospectively registered on 02/06/2020 on Clinicaltrials.gov (identifier NCT04411966).

Peer Review reports

Background

Over the past decade, although the new therapeutic agents have become available for patients with metastatic breast cancer (mBC), the median survival of these patients remains dismal, ranging from 10 months to 5 years [1]. Thus, a reliable imaging modality capable of early identification of patients unresponsive to therapy is critical to guide individualized treatment.

The change of tumor size on computed tomography (CT) is the current standard for monitoring tumor response in mBC. However, there are substantial limitations to using an anatomic assessment alone because alterations in tumor size manifest later than those of tumor function. In addition, clinical trials have shown that the response based on size criteria may not be a suitable surrogate to predict survival in breast cancer [2, 3]. In this context, molecular imaging techniques such as positron emission tomography (PET) imaging have been advocated for therapy response evaluation.

18F-fluorodeoxyglucose (18F-FDG) is used to assess tumor glycolytic metabolism, and is the most commonly used PET tracer. Previous studies have shown that the changes in 18F-FDG uptake after one or two cycles of neoadjuvant chemotherapy enables early prediction of the histopathologic response in locoregionally advanced breast cancer patients [4, 5]. However, the performance of 18F-FDG-PET is compromised due to false-positive findings caused by infectious diseases in immunocompromised patients or post-therapeutic inflammation around the tumor [6].

18F-fluorothymidine (18F-FLT) uptake is closely associated with tumor cell proliferation [7]. Previous studies have demonstrated that 18F-FLT uptake is associated with treatment response in breast cancer patients [8,9,10,11]. Contractor et al. reported that a decrease of 18F-FLT uptake early after initiating chemotherapy was predictive of tumor response mid therapy [9]. Because 18F-FLT-PET is less affected by lower false-positive rates caused by the inflammatory process in the cancer tissue than 18F-FDG-PET [12], it has been considered a more suitable imaging tool in the early assessment of treatment response than 18F-FDG-PET. However, the results of comparative studies of 18F-FDG-PET and 18F-FLT-PET in evaluating therapeutic outcomes are inconsistent across different cancers [13,14,15]. In mBC, the superiority of 18F-FLT-PET over 18F-FDG-PET in the early prediction of chemotherapy response remains undetermined.

Therefore, we conducted this prospective study to compare the performance of interim 18F-FLT-PET and 18F-FDG-PET in predicting treatment response and survival outcome in patients with mBC undergoing systemic therapy.

Methods

Patients

This was a prospective, single-center trial that compared the performance of interim 18F-FLT-PET and 18F-FDG-PET in patients with mBC undergoing systemic therapy. The eligible criteria for the patients’ inclusion were as follows: 1) histological diagnosis of breast carcinoma; 2) presence of metastatic cancer—either primary or recurrent cases—based on the pathological or imaging findings. Patients were excluded if they were pregnant, lactating, had simultaneous second primary cancer, or uncontrolled intercurrent illness that would limit their compliance with the study.

The disease staging and treatment protocols of all enrolled patients were reviewed and confirmed by the breast cancer committee at our institute. The committee members included two breast surgeons, three medical oncologists, two radiation oncologists, one radiologist, two nuclear medicine physician and one pathologist. We adhered to standard treatment protocols in accordance with institutional guidelines. Chemotherapy regimens including anthracycline plus docetaxel, paclitaxel plus gemcitabine, anthracycline plus cyclophosphamide, or vinorelbine plus platinum, were contingent upon the decision made by the treating physician. The patients also received additional hormone therapy or trastuzumab-based therapy according to their estrogen receptor (ER), progesterone receptor (PR), or HER-2 status, respectively. Hormone therapy was not administered if patients experienced endocrine therapy failure or if they were diagnosed with potential visceral crisis.

From January 2014 to August 2017, 32 patients were enrolled in this study (clinicaltrials.gov identifier NCT04411966). The study participants underwent whole-body PET/CT imaging (18F-FDG and 18F-FLT) at baseline. Baseline CT was performed a median of 9 days (range 3–74) before the initiation of systemic therapy. Baseline PET was performed a median of 4 days (range 3–21) before the initiation of therapy. The patients received chemotherapy (68% received docetaxel-based treatment). Nine and five patients received additional hormone therapy or trastuzumab-based therapy according to their estrogen receptor (ER), progesterone receptor (PR), or HER-2 status, respectively. Four patients with bone and abdominal wall metastases received additional radiotherapy for these local lesions. Hormone therapy was dismissed in six patients with a positive ER status due to potential visceral crisis and in three patients with a history of endocrine therapy failure [16].

Interim 18F-FDG-PET and 18F-FLT-PET were performed a median of 21 days (range 10–27) after the first cycle of chemotherapy (before the start of the second cycle of chemotherapy) and a median of 20 days (range 10–48) after the second cycle of chemotherapy (before the start of third cycle of chemotherapy). 18F-FDG-PET and 18F-FLT-PET were performed on separate days. The minimum time between both the scans was > 20 h. The clinician was not blinded to the PET results, but the treatment was not allowed to be changed after 18F-FLT-PET or interim PET. Contrast-enhanced CT (CE-CT) was performed both at baseline and 3 months after the start of systemic therapy.

18F-FLT-PET and 18F-FDG-PET

Prior to 18F-FDG or 18F-FLT injection, patients were instructed to fast for at least 6 h. Blood glucose levels were < 150 mg/dL in all participants. The injected dose for each patient scan was 185 ± 10% MBq of 18F-FLT and 370 ± 10% MBq of 18F-FDG. Each patient underwent both 18F-FLT and 18F-FDG PET on two separate days. The PET imaging was performed using a PET/CT system (Discovery STE, GE Health Systems, Milwaukee, WI, USA). Before PET acquisition, helical CT was performed from the head to the proximal thigh according to a standardized protocol with the following settings: transverse 3.75 mm, collimation 1.25 × 16 modes, 120 kVp, smart mA (25–300 mA), 0.5 s tube rotation, 27.5 mm/s table speed, and pitch 1.375. We did not administer intravenous iodinated contrast agents. CT data were resized from a 512 × 512 matrix to a 128 × 128 matrix to match the PET data in order to fuse images and generate CT-based transmission maps. Subsequently, we acquired emission scans from the head to the proximal thigh 50–70 min after injection of 18F-FDG or 18F-FLT using the three-dimensional mode with 2.5 min per table position. The PET images were reconstructed using the CT data for attenuation correction with an ordered-subset expectation maximization iterative reconstruction algorithm (2 iterations and 28 subsets).

PET imaging analysis and assessment of metabolic response

We evaluated the PET images in transaxial, sagittal, and coronal planes using a dedicated workstation. The standardized uptake value (SUV) for the metastatic tumor was calculated using the following formula: (measured activity concentration [Bq/mL]) / (injected activity [Bq] / body weight [kg] × 1000). We measured the maximum SUV (SUVmax) and the peak SUV corrected for lean body mass (SULpeak) within a region of interest (ROI) [17]. During the course of chemotherapy, changes in SUVmax and SULpeak in target lesions were calculated by comparing radiotracer uptake at time points t0, t1 and t2, as: ΔSUVmax (ti) = 100 x [SUVmax (ti) – SUVmax(t0)] / SUVmax(t0), ΔSULpeak (ti) = 100 x [SULpeak (ti) – SULpeak(t0)] / SULpeak (t0), where i = cycle of chemotherapy.

To facilitate a direct comparison, we used the European Organization for Research and Treatment of Cancer (EORTC) criteria and PET Response Criteria in Solid Tumors (PERCIST) to evaluate the metabolic response in both 18F-FDG-PET and 18F-FLT-PET. The metabolic response by the EORTC criteria was based on the same ROI volumes sampled on baseline and interim scans [18]. We defined partial metabolic response (PMR) after one and two chemotherapy cycles as a decrease of ≥15% and ≥ 25% SUVmax, respectively. Stable metabolic disease (SMD) was determined if there was either an increase or decrease of < 15% or < 25% SUVmax after one or two chemotherapy cycles, respectively. Finally, progressive metabolic disease (PMD) was diagnosed as an increase in SUVmax of > 25%.

In accordance with the PERCIST criteria [19], we measured the mean SUL and standard deviation of the SUL in a 3-cm diameter spherical volume of interest (VOI) in the right hepatic lobe for background activity. We evaluated the change in the SULpeak between the most obvious single tumor lesion at the baseline and interim imaging studies in order to determine if the target lesions were different between the two studies. Complete metabolic response (CMR) was determined if complete abrogation of tumor FDG-uptake was observed; PMR was defined as a reduction in SULpeak greater than 30%. PMD was diagnosed as either an increase in SULpeak of at least 30% or the development of a new lesion. SMD was determined if CMR, PMR, and PMD were not present.

The tumor to background ratio was obtained from baseline images. A rectangular region of interest was positioned around the tumor activity in the coronal images with maximum tumor activity. An identical region of interest was placed around comparable unaffected tissue on the contralateral side representing background activity. In the patient with a lumbar spine tumor, a comparable unaffected spine segment was used. We measured the SUVs and SULs of the metastatic lesion and the background tissue to obtain the ratio.

Clinical response

Clinical response was assessed through an independent assessment of contrast-enhanced CT images obtained three months after the start of chemotherapy compared to the baseline scans. All contrast-enhanced CT images were interpreted blind to the results of the PET. We diagnosed the tumor response on CT as progressive disease (PD), complete response (CR), stable disease (SD), or partial response (PR) according to the Response Evaluation Criteria in Solid Tumors (RECIST), version 1.1 [20]. We classified patients with CR or PR as clinical responders, and those with SD or PD as clinical non-responders.

Statistical analysis

The Mann–Whiney test was used to compare the ΔSUVmax (ti) and ΔSULpeak (ti) in the different response groups. The clinical response was defined as the reference standard for PET metabolic response. The predictive power of the metabolic response was assessed by estimating the area under the ROC curve (AUC). The 95% confidence intervals (CI) for AUC and the P value of the test of the null hypothesis that AUC = 0.5 (no predictivity) were estimated using bootstrap methods with 1000 replications. Delong’s method was used to test if the observed AUC was significantly greater than 0.5 with the one-sided P value [21]. Progression-free survival (PFS) was calculated from the date of inclusion in the study to disease recurrence or progression. Overall survival (OS) was calculated from the date of inclusion in the study to the date of death from any cause or last follow-up. Associations between metabolic response or SUVmax and survival outcome were described graphically using Kaplan–Meier product limit curves and assessed by the log-rank test. All calculations were performed using the SPSS version 21 statistical package (SPSS Inc., Chicago, IL, USA) and MedCalc version 19.1.5 (MedCalc Software, Ostend, Belgium). Two-tailed P values < 0.05 were considered statistically significant.

Results

Baseline patient characteristics and clinical treatment response

A total of thirty-two patients were enrolled in this study. Seven patients were excluded from the final analysis: five died before completion of chemotherapy and did not complete the interim PET studies. Two were lost to follow-up. The data of the 25 patients that were included in the final analysis are presented in Table 1. The median age of the study participants was 52 years (range, 27–67 years). The metastatic lesions were histopathologically proven in 13 patients, while the lesions in another 12 patients were determined to be metastatic because of the disseminated findings in the images. The median follow-up time for the whole cohort was 38 months (range, 6–61 months). At the end of the follow-up period, 11 patients had died. One patient (4%) had CR, 11 (44%) PR, 6 (24%) SD, and 7 (28%) PD. In patients with PD, five (patient no. 5, 7, 13, 20, and 22) had newly-developed metastatic tumors in the liver, chest wall, and axillary lymph nodes, and the other two (patient no. 6 and 14) had pre-existing metastatic lesions that had enlarged in size.

Table 1 Patient characteristics
Full size table

Semiquantitative measurements on 18F-FLT-PET and 18F-FDG-PET and their relationships to clinical response

The median SUVmax (± interquartile range) of the target tumors on baseline 18F-FLT-PET and 18F-FDG-PET was 11.6 (± 11.9) and 11.2 (± 20.5), while the median SULpeak (± interquartile range) of the target tumors on baseline 18F-FLT-PET and 18F-FDG-PET was 8.83 (± 14.5) and 7.80 (± 12.0). The median ΔSUVmax(t1) on 18F-FLT-PET and 18F-FDG-PET was − 11.8% (median absolute decrease of − 0.2) and − 17.5% (median absolute decrease of − 2.4), while the median ΔSULpeak(t1) on 18F-FLT-PET and 18F-FDG-PET was − 4.4% (median absolute decrease of − 0.1) and − 17.1% (median absolute decrease of − 1.3). The median ΔSUVmax(t2) on 18F-FLT-PET and 18F-FDG-PET was − 26.8% (median absolute decrease of − 0.2) and − 28.5% (median absolute decrease of − 4.1), while the median ΔSULpeak(t2) on 18F-FLT-PET and 18F-FDG-PET was − 6.3% (median absolute decrease of − 0.2) and − 31.9% (median absolute decrease of − 2.4), respectively.

The SUVmax values on baseline 18F-FDG-PET and 18F-FLT-PET did not differ significantly between clinical responders and non-responders (P = 0.744 and 0.785, respectively). Meanwhile, the SULpeak values on baseline 18F-FDG-PET and 18F-FLT-PET did not differ significantly between clinical responders and non-responders (P = 0.830 and 0.378, respectively). Figure 1 depicts the SUVmax and SULpeak changes categorized by clinical response. Clinical responders showed a significant larger ΔSUVmax(t2) and ΔSULpeak(t2) on 18F-FDG-PET (P = 0.030 and 0.003) than non-responders. The ΔSUVmax(t1) and ΔSULpeak(t1) of 18F-FDG-PET was not significantly different between clinical responders and non-responders. The ΔSUVmax(t1), ΔSULpeak(t1), ΔSUVmax(t2), and ΔSULpeak(t2) on 18F-FLT-PET were also not significantly different between these two groups.

Fig. 1
figure 1

Comparison of SUV and SUL changes between clinical responders and non-responders in patients with metastatic carcinoma. Clinical responders showed significant larger SUV and SUL changes on post-2c 18F-FDG-PET (P = 0.030 and 0.003) than non-responders

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The ratio of the SUVs and SULs of metastatic lesions to background uptake is demonstrated in Table 2. Figure 2 demonstrates a case with different target-to-background ratios in the bone marrow lesion on 18F-FLT-PET and 18F-FDG-PET.

Table 2 Target-to-background ratio of the SUVs and SULs of metastatic lesions in baseline 18F-FDG-PET and 18F-FLT-PET
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Fig. 2
figure 2

A case with metastatic breast cancer at the sternum. (A) 18F-FDG-PET, (B) 18F-FLT-PET. The lesion was clearly demarcated in 18F-FDG-PET. In 18F-FLT-PET, the margin of the lesion could not be well defined due to physiological 18F-FLT uptake in the adjacent bone marrow

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Post-1c or post-2c: after one or two cycles of chemotherapy, respectively.

The predictive power of interim 18F-FLT-PET and 18F-FDG-PET for clinical response

Figure 3 illustrates the ROC curves of 18F-FLT-PET and 18F-FDG-PET according to the EORTC or PERCIST criteria in predicting the clinical response. The AUC values of post-one cycle of chemotherapy (post-1c) and post-two cycles of chemotherapy (post-2c) 18F-FLT-PET were 0.474 and 0.715 based on the EORTC criteria, and 0.593 and 0.587 using the PERCIST criteria, respectively. The AUC values of post-1c and post-2c 18F-FDG-PET were 0.641 and 0.801 according to the EORTC criteria, and 0.679 and 0.801 using the PERCIST criteria, respectively. The predictive power of metabolic response in post-2c 18F-FDG-PET according to either PERCIST or EORTC criteria was statistically significant in predicting the clinical response (P = 0.011 for each criteria). The predictive capacities of 18F-FLT-PET did not reach significance. Figure 4 demonstrates a case with baseline and post-2c 18F-FDG-PET and 18F-FLT-PET images.

Fig. 3
figure 3

Areas under the receiver operating characteristic curves (AUCs) for post-1c or post-2c 18F-FDG-PET and 18F-FLT-PET for predicting clinical response based on EORTC criteria or PERCIST. The post-2c 18F-FDG-PET had a higher AUC value (P = 0.011)

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Fig. 4
figure 4

A case of a 51-year-old female presenting with metastatic breast cancer at the right lower lung and liver. (A, B) baseline 18F-FDG-PET, (C, D) post-2c 18F-FDG-PET, (E, F) baseline 18F-FLT-PET, and (G, H) post-2c 18F-FLT-PET

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The hepatic lesion was poorly visualized on 18F-FLT-PET in the liver due to high physiological uptake. This patient received a docetaxel and cisplatin regimen. The post-2c 18F-FDG-PET revealed the SULpeak of the target tumor was decreased by 37.4%, which was compatible with partial metabolic response. The corresponding post-2c 18F-FLT-PET showed the SULpeak was decreased by 12.4%, indicating stable metabolic disease. She achieved partial response in the CT 3 months after the start of therapy. Post-2c 18F-FDG-PET was more accurate than 18F-FLT-PET in predicting the clinical response.

18F-FLT-PET versus 18F-FDG-PET metabolic response in predicting progression-free and overall survival

Figures 5 and 6 demonstrate the comparison of PFS and OS between metabolic responders and non-responders using different PET criteria. The difference in PFS based on the post-1c or -2c 18F-FLT-PET response was not statistically significant. However, patients who were classified as post-2c 18F-FDG-PET responders using PERCIST had a significantly higher 2-year PFS than non-responder (53.8% vs. 16.7%; P = 0.014; HR = 0.335, 95% CI = 0.132–0.850). The post-1c 18F-FDG-PET response was not predictive of PFS.

Fig. 5
figure 5

The Kaplan–Meier curves for the progression-free survival rate of metastatic breast cancer patients stratified by the response on 18F-FLT-PET or 18F-FDG-PET after one or two cycles of chemotherapy. The metabolic responders on post-2c 18F-FDG-PET based on PERCIST showed a significantly higher survival rate than metabolic non-responders

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Fig. 6
figure 6

The Kaplan–Meier curves for the overall survival rate of metastatic breast cancer patients stratified by the response on 18F-FLT-PET or 18F-FDG-PET after one or two cycles of chemotherapy. The metabolic response on post-2c 18F-FDG-PET based on PERCIST significantly predicted the overall survival rate in these patients

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We observed similar results in the analysis of metabolic response and OS. Patients who were classified as post-2c 18F-FDG-PET responders based on PERCIST had a significantly longer 2-year OS than non-responders (100% vs. 47.6%; P = 0.046; HR = 0.312, 95% CI = 0.093–1.048). The 18F-FLT-PET response was not able to predict OS.

Clinical responders determined by the RECIST criteria were not predicted to have a better OS (P = 0.091).

Discussion

Because patients with mBC present with a low survival rate despite the development of new therapeutic regimens, it is critical to identify an imaging modality capable of early prediction of treatment outcomes, facilitating an individualized treatment. 18F-FDG-PET and 18F-FLT-PET have been advocated as promising tools in the early assessment of treatment outcome of cancer patients. However, there is still a lack of studies comparing the prognostic value of these two imaging modalities. In this study, we found that the ΔSUVmax and ΔSULpeak between clinical responders and non-responders were significantly different on post-2c 18F-FDG-PET but not on 18F-FLT-PET. The metabolic response on post-2c 18F-FDG-PET had a high predictive capacity (AUC = 0.801) for the clinical response. The PERCIST-defined metabolic responders on post-2c 18F-FDG-PET had a significantly longer PFS and OS than non-responders. In contrast, the metabolic response determined by interim 18F-FLT-PET failed to predict survivals. The interim 18F-FDG-PET demonstrated a higher prognostic value than 18F-FLT-PET in metastatic breast cancer.

Recently, research attempting to optimize cancer treatment has focused its attention on the potential utility of interim 18F-FDG-PET during therapy. 18F-FDG-PET has been shown to be beneficial in predicting the response to neoadjuvant therapy in locoregionally advanced breast cancer patients [22, 23]. Based on the literature, a greater decrease in SUV following the early cycles of neoadjuvant therapy is associated with a better histopathological status. As for mBC, Couturier et al. prospectively analyzed the role of interim 18F-FDG-PET for predicting treatment outcome and found that the metabolic response based on the EORTC criteria after the third cycle of chemotherapy significantly predicted both the clinical response and overall survival [24]. However, the PET response criteria used in previous studies were not consistent. Ridel et al. evaluated the association of the PET response determined by the PERCIST and the survival of mBC patients and reported that metabolic response was a superior predictor than response on CE-CT [25]. In our study, the data were analyzed using both PERCIST and EORTC criteria. Our findings further support the value of 18F-FDG-PET, showing that the metabolic response on post-2c 18F-FDG PET had a high AUC of 0.801 in predicting the clinical response. Moreover, the PERCIST-defined response of post-2c 18F-FDG-PET significantly prognosticated PFS and OS. Based on the results of previous studies and this study, interim 18F-FDG-PET is a promising tool for early prediction of the treatment response. mBC patients identified as metabolic responders had a better long-term prognosis, and the continuation of the treatment strategy in these patients seems reasonable. Conversely, in patients identified as non-responders, the therapy could be switched to other chemotherapy, target therapy, or immunotherapy and unnecessary toxicities due to futile treatment could be avoided.

FLT is phosphorylated by thymidine kinase-1, trapped within proliferating cells via the salvage pathway, but not incorporated during DNA synthesis [26]. FLT has been accepted as an imaging marker of cells in the S-phase of the cell cycle and is suggested to reflect tumour proliferation, aggressiveness, or response to therapy [27]. Because 18F-FLT is directly associated with tumour proliferation and does not substantially accumulate in inflammatory tissue [12], it has been considered a more reliable tracer than 18F-FDG in assessing the response after therapeutic intervention in cancer patients. The ability of 18F-FLT-PET as an early predictor for treatment response in breast cancer has been investigated in some previous studies [28,29,30]. Contrary to expectations, in our study with a pure mBC cohort, we found that the AUC values of interim 18F-FLT-PET for predicting the clinical response were not high. Moreover, the survival differences between metabolic responders and non-responders on the interim 18F-FLT-PET were not significant. The lack of prognostic significance of 18F-FLT-PET in our study may be attributed to the low target-to-background ratio in the liver and bone marrow (Table 2 and Fig. 2). The liver and bone are the predominant sites for distant metastases in breast cancer. The target-to-background ratio of 18F-FLT-PET in bone or liver lesions ranged from 0.2–6.8, which is substantially lower than the ratio in lesions at the lungs and other organ sites. The low target-to-background ratio in distant metastases may have interfered with the accuracy of lesion detection and ROI depiction. This could partially explain the discrepant results between our study and previous ones [10, 28,29,30], since these studies focused on patients with locally advanced breast cancer, which has a high target-to-background ratio. Another reason for the discrepant results may be the use of different therapeutic agents across studies [31].

Head-to-head comparison of 18F-FDG-PET with 18F-FLT-PET in the early evaluation of treatment response has been addressed in other malignancies but shows inconsistent results. Crandall et al. compared the predictive power of 18F-FLT-PET with that of 18F-FDG-PET in patients with non-small cell lung cancers receiving neoadjuvant chemotherapy [15]. They found that a significant decrease of 18F-FDG uptake after one cycle of chemotherapy and 18F-FDG-PET had a high AUC of 0.91 in predicting anatomic tumour response. In contrast, the decrease of 18F-FLT did not differ significantly between responders and non-responders. Rendl et al. investigated the prognostic value of SUV changes on 18F-FLT-PET and 18F-FDG-PET performed at baseline and post neoadjuvant chemotherapy in rectal cancer [13]. In that study, the SUV changes of both imaging modalities could not reliably separate histopathological responders from incomplete responders. Differences in the timing of interim PET and the type of cancer may explain the inconsistent results among these reports. More research on this topic needs to be undertaken before the comparative prognostic values of 18F-FLT-PET and 18F-FDG-PET can be clearly understood.

The present study has some limitations. First, the study population was relatively small, which limits the strength of our results. Therefore, larger independent trials are required to validate our findings. Second, not all concerned lesions were pathologically confirmed. However, it is a common issue in this setting and increasing it is often neither feasible nor justified ethically. Finally, some of the patients with positive hormone receptor status had not received endocrine therapy before enrollment in this study due to potential visceral crisis condition or history of hormone therapy failure. Hence, the result might have been confounded by the different treatment regimens prescribed. However, the regimen prescribed in our study was adhered to international guideline and real-world practice, which highlights the potential clinical value of this study. These limitations notwithstanding, our data may have important implications for mBC patients. Specifically, our findings may represent a valuable addition to the current literature in light of the increasing use of interim PET.

Conclusions

In this head-to-head comparison study, the metabolic response on interim 18F-FDG-PET showed a high predictive capacity for clinical response and survival outcome in patients with mBC. Interim 18F-FLT-PET demonstrated an inferior prognostic value. The low target-to-background ratio of 18F-FLT in metastatic lesions in the liver or bone may explain the discrepant results. 18F-FLT-PET should be used with caution when the target tumour is located in these organs. Interim 18F-FDG-PET is more suitable than 18F-FLT-PET in selecting mBC patients who will benefit from systemic chemotherapy or identifying those at risk of treatment failures early, permitting treatment individualization and consideration of alternative strategies.

Availability of data and materials

The data sets analyzed during this study are available from the corresponding author on reasonable request depending on IRB approval.

Abbreviations

AUC:

Area under the ROC curve

CE-CT:

Contrast-enhanced CT

CI:

Confidence intervals

CMR:

Complete metabolic response

CR:

Complete response

CT:

Computed tomography

EORTC:

European Organization for Research and Treatment of Cancer

ER:

Estrogen receptor

18F-FDG:

18F-fluorodeoxyglucose

18F-FLT:

18F-fluorothymidine

HER-2:

Human epidermal growth factor receptor 2

mBC:

Metastatic breast cancer

OS:

Overall survival

PD:

Progressive disease

PET:

Positron emission tomography

PERSIST:

PET Response Criteria in Solid Tumors

PFS:

Progression-free survival

PMD:

Progressive metabolic disease

PMR:

Partial metabolic response

PR:

Partial response

PR:

Progesterone receptor

RECIST:

Response Evaluation Criteria in Solid Tumors

SD:

Stable disease

SMD:

Stable metabolic disease

SULpeak:

Peak SUV normalized by lean body mass

SUV:

Standardized uptake value

VOI:

Volume of interest

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Acknowledgements

Not applicable.

Funding

Funding was provided by the following grants: CMRPG2C0481, CMRPG2C0482, CMRPG2C0483, CMRPG2E0341, and CMRPG2E0342 from Keelung Chang Gung Memorial Hospital.

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Author notes

  1. Tzu-Pei Su and Jen-Seng Huang contributed equally to this work.

Authors and Affiliations

  1. Department of Nuclear Medicine, Keelung Chang Gung Memorial Hospital, 222, Maijin Road, Keelung, 204, Taiwan

    Tzu-Pei Su

  2. Division of Hematology/Oncology, Department of Internal Medicine, Keelung Chang Gung Memorial Hospital, 222, Maijin Road, Keelung, 204, Taiwan

    Jen-Seng Huang & Pei-Hung Chang

  3. Department of Diagnostic Radiology, Linkou Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 5 Fu-Shin Street, Kueishan, Taoyuan, 333, Taiwan

    Kar-Wai Lui & Shu-Hang Ng

  4. Division of Hematology/Oncology, Department of Internal Medicine, Linkou Chang Gung Memorial Hospital and Chang Gung University College of Medicine, 5 Fu-Shin Street, Kueishan, Taoyuan, 333, Taiwan

    Jason Chia-Hsun Hsieh

  5. Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, 707, Section 3, Chung-Yang Road, Hualien, 970, Taiwan

    Sheng-Chieh Chan

  6. School of Medicine, Tzu Chi University, 701 Section 3, Zhong-Yang Road, Hualien, 970, Taiwan

    Sheng-Chieh Chan

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Contributions

Tzu-Pei Su, Jen-Seng Huang: conception and design of study, data acquisition, data analysis and interpretation, drafting of manuscript. Both authors contributed equally to this work. Pei-Hung Chang: data acquisition, data analysis. Kar-Wai Lui: data analysis. Sheng-Chieh Chan: conception and design of study, drafting of manuscript, approval of final version of manuscript. Jason Chia-Hsun Hsieh, Shu-Hang Ng: data analysis. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Sheng-Chieh Chan.

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The study protocol complies with the tenets of the Helsinki Declaration. Ethical approval was granted by the Institutional Review Board of Chang Gung Memorial Hospital (IRB no. 101-2333A), and all the participants provided their written informed consent.

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Su, TP., Huang, JS., Chang, PH. et al. Prospective comparison of early interim 18F-FDG-PET with 18F-FLT-PET for predicting treatment response and survival in metastatic breast cancer. BMC Cancer 21, 908 (2021). https://doi.org/10.1186/s12885-021-08649-z

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Keywords

BMC Cancer

ISSN: 1471-2407

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