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Somatostatin receptor expression in Merkel cell carcinoma as target for molecular imaging

BMC Cancer volume 14, Article number: 268 (2014) Cite this article

Abstract

Background

Merkel cell carcinoma (MCC) is a rare cutaneous neoplasm with increasing incidence, aggressive behavior and poor prognosis. Somatostatin receptors (SSTR) are expressed in MCC and represent a potential target for both imaging and treatment.

Methods

To non-invasively assess SSTR expression in MCC using PET and the radiotracers [68Ga]DOTA-D-Phe1-Tyr3-octreotide (DOTATOC) or -octreotate (DOTATATE) as surrogate for tumor burden. In 24 patients with histologically proven MCC SSTR-PET was performed and compared to results of computed tomography (CT).

Results

SSTR-PET detected primary and metastatic MCC lesions. On a patient-based analysis, sensitivity of SSTR-PET was 73% for nodal metastases, 100% for bone, and 67% for soft-tissue metastases, respectively. Notably, brain metastases were initially detected by SSTR-PET in 2 patients, whereas liver and lung metastases were diagnosed exclusively by CT. SSTR-PET showed concordance to CT results in 20 out of 24 patients. Four patients (17%) were up-staged due to SSTR-PET and patient management was changed in 3 patients (13%).

Conclusion

SSTR-PET showed high sensitivity for imaging bone, soft tissue and brain metastases, and particularly in combination with CT had a significant impact on clinical stage and patient management.

Peer Review reports

Background

Merkel cell carcinoma (MCC) is a rare, highly aggressive, viral associated cutaneous neoplasm with neuroendocrine characteristics [1, 2]. Indeed, it is characterized by expression of neuroendocrine markers including somatostatin receptors (SSTR) [3, 4]. Five-year survival rates are as low as 66% for stage I, 51% for stage II, 39% and 18% for stage III and IV, respectively [5]. While a standardized staging system has been introduced with the 7th edition of the AJCC staging manual [6, 7], the definite staging algorithm for MCC remains to be established. Current imaging procedures for patients with clinical stage I/II disease include ultrasonography of regional lymph nodes and the abdomen as well as a chest X-ray. A sentinel lymph node biopsy (SLNB) is recommended for all patients with no evidence of lymph node or distant metastasis [8–11]. Contrast-enhanced computed tomography (CT) is generally performed in patients with clinical stage III/IV disease. Functional or molecular imaging modalities such as 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET) are increasingly used [12–17].

In analogy to neuroendocrine tumors (NET), SSTR expression may be used for staging [18]. 68Ga-labeled 1,4,7,10-tetraazacyclo-dodecane-N,N’,N”,N”-tetraaceticacid D-Phe1-Tyr3-octreotide (68Ga-DOTATOC) and Tyr3-octreotate (68Ga-DOTATATE) are somatostatin analogs with high affinity to SSTR subtype 2 suitable for PET imaging, thereby offering superior spatial resolution [19]. Radiotracer uptake has been shown to correlate with expression of SSTR 2 in NET and MCC [3, 20, 21]. SSTR-PET is more sensitive and accurate for tumor detection than respective scintigraphic techniques [22]. SSTR-PET has been claimed to be beneficial compared to conventional imaging and FDG-PET in selected patients with MCC [23, 24].

The aim of this study was to assess the impact of non-invasive characterization of SSTR expression in MCC on tumor staging, as compared to conventional staging by CT and to explore its suitability as molecular target for treatment of metastatic MCC.

Methods

Patients

In 24 patients with histologically confirmed MCC, SSTR-PET was performed. In a sub-cohort of 8 patients, repetitive imaging was performed. The cohort included 16 male and 8 female patients with a mean age of 68 years at inclusion (range 44–81). At the initial diagnosis, 6 patients had stage I disease, 5 patients were stage II, 10 patients were stage III and 3 patients were stage IV. Two patients had a history of secondary malignancy in complete remission. The median follow-up was 36 months (range 18–57 months).

Due to the retrospective nature of our study, the requirement for approval has been waived by the local ethics committee of the University of Würzburg. Since 2009, the German federal law accepts the use of the radiotracer 68Ga-DOTATATE under conditions of the pharmaceutical law. Before that time point, the use of 68Ga-DOTATATE was approved on a compassionate use base. Nevertheless, in all of our patients, informed consent was obtained prior to the imaging procedure.

Study design

In this retrospective study, imaging studies of consecutive patients with MCC examined between 05/2008 and 09/2011 were analyzed. SSTR-PET was performed in the clinical routine on a compassionate use basis; informed consent for the imaging procedures was obtained. It is a retrospective analysis of single institutional data. Patient’s consent was obtained for publication of illustrations including photos. CT of the thorax and abdomen served as reference. SSTR-PET and CT data were acquired within a mean interval of 12.5 days (range, 0–45). In between, no surgery or systemic treatment was performed. Head-neck MRI was performed if clinically indicated. In 2010, an integrated PET/CT scanner was introduced, enabling combined acquisition of PET and CT data in 5 patients. In all patients, SSTR-PET and CT data were documented as separate files, enabling separate evaluation of PET and CT data.

Eight patients were re-staged by SSTR-PET after first-line chemotherapy with liposomal doxorubicin or cisplatin-based polychemotherapy.

Somatostatin receptor PET

68Ga-DOTATOC/68Ga-DOTATATE was prepared using a modification of the method described by Breeman et al. [25] using a radiotracer synthesis module (Scintomics, Fürstenfeldbruck, Germany). PET-scans were acquired using a Siemens PET scanner (ECAT Exact 47, Siemens Health Care, Erlangen, Germany). Acquisition started 30–45 minutes after intravenous injection of 68Ga-DOTATOC (116 ± 46 MBq).

SSTR-PET/CT was performed on a dedicated scanner (Siemens Biograph mCT 64, Siemens, Knoxville, USA) 40–60 min after injection of 68Ga-DOTATATE (122 ± 52 MBq).

Standardized uptake values (SUV) were calculated by assigning spherical volumes of interest of 1.5 cm diameter including foci of increased tracer uptake. In addition, mean and maximum SUV values (SUVmax, SUVmean) were calculated. A 1.5 cm spherical volume of interest was drawn also to the center of the right lobe of the liver to determine the SUVmean liver as reference for background activity.

CT

Spiral CT of the chest and abdomen was performed using a 16-slice multi-detector CT (Siemens Sensation 16, Siemens Healthcare) and intravenous contrast. If clinically indicated the head, neck or lower extremities were also included. In two stage I patients SPECT-CT images were obtained during SLN detection. In one stage I patient MRI was performed instead of CT.

Image interpretation and data analysis

All images were reviewed by two experienced nuclear medicine physicians (C.L. and M.C.K.) and an experienced radiologist (Al.S.), who were blinded to clinical data. Analyses were performed on a patient and on a lesion basis. Lesion-based analysis was restricted to a maximum of 10 lesions per organ.

Results

Staging results of SSTR-PET and CT; patient-based analysis

SSTR-PET was able to detect MCC lesions in all patients with primary and/or metastatic disease with mild to moderate tracer uptake. Concordance of CT and SSTR-PET was observed in 20 of 24 patients (83%) in a patient-based analysis; change of management due to SSTR-PET occurred in 4/24 (17%) patients (Table 1). On a patient basis, CT and SSTR-PET were concordant regarding overall tumor stage in all but one patient.

Table 1 Tumor stage of MCC patients, as assessed by SSTR-PET and CT
Full size table

Three patients received SSTR-PET when the primary tumor was present. Patient 3 had a T1 tumor, patient 15 an infiltrating T4 tumor (Figure 1) and patient 22 a T2 tumor with satellite metastases in an area of 6 × 8 cm. All primary tumors showed focally increased tracer uptake.

Figure 1
figure 1

Primary MCC and lymph node metastasis visualized by SSTR-PET. A female patient (no. 15) presented with a primary MCC on her left cheek (A), which was visualized by both SSTR-PET (B) and CT (C). Additionally, SSTR-PET revealed increased tracer uptake (D) in a non-enlarged lymph node (E). After resection, a 7 x 5 mm lymph node metastasis was histologically confirmed.

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When compared to CT, lymph node metastases were correctly identified by SSTR-PET in 8 of 11 patients (sensitivity 73%; Table 2A). One patient was correctly up-staged to stage IIIB (pN1b) by SSTR-PET but not by CT. In 6/6 patients with clinical stage I disease both SSTR-PET and CT indicated N0 disease. SLNB was negative in these 6 patients, confirming absence of nodal involvement.

Table 2 Patient- and lesion-based analysis of SSTR-PET and CT
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SSTR-PET correctly detected distant metastatic disease in 10/10 patients. However, there were clinically significant organ-specific differences in the number of metastatic sites as compared to CT (Table 2A, Figure 2). Patient-based analysis for different metastatic sites revealed 5 patients with bone metastases by SSTR-PET versus 2 patients identified by CT (Table 2A). Soft-tissue metastases were detected by SSTR-PET with a sensitivity of 67% (2/3); liver and lung metastases diagnosed by CT were not detected by SSTR-PET (liver 0/5, lung 0/2). Pleural metastases were detected by SSTR-PET in 1 out of 2 patients (Table 2A). Skin metastases were frequently located outside the field-of-view of the CT scan. Hence, a direct comparison was not feasible. Nevertheless, cutaneous metastases were visualized by SSTR-PET in 6 of 8 patients with clinical diagnosis of cutaneous metastases; metastases <5 mm were not detected. Interestingly, several cutaneous metastases did not show increased tracer uptake despite a size >15 mm indicating a reduced sensitivity of SSTR-PET for detection of cutaneous metastases from MCC.

Figure 2
figure 2

Typical example of SSTR-positive metastases visualized by SSTR-PET. Example of SSTR-positive MCC metastases which were displayed by SSTR-PET imaging. Corresponding CT sections are shown below the transaxial PET views. Whereas lymph node metastases can be visualized with comparable sensitivity (arrows, A, B, E, F), SSTR-PET is more sensitive for detecting bone and brain metastases as compared to CT (C, D, I, J). On the other hand, lung and liver metastases (arrows, E, F) are detected with lower sensitivity by SSTR-PET.

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Diagnostic accuracy of SSTR-PET and CT: lesion-based analysis

Detailed results are given in Table 2B. SSTR-PET detected 62 lymph node metastases as compared to 105 lesions detected by CT (sensitivity, 59%). SSTR-PET revealed focal tracer uptake in all bone and soft tissue lesions detected by CT (sensitivity 100%); moreover, it indicated 15 additional osseous metastases without any correlate at corresponding CT.

SSTR-PET did not show any focal tracer uptake in the liver and the lungs. Inhomogeneity of tracer uptake in liver tissue was noticed but no focal lesions were detected. SSTR-PET detected a single histology-confirmed metastatic lesion in the parotid gland, which was not seen by CT. Another parotid lesion was detected by both SSTR-PET and CT but turned out as benign lesion after histological work-up (Warthin tumor).

Discordant findings at SSTR-PET and CT

Patient 11 with stage IIIB disease presented with 2 lymph nodes suspected to be metastases by CT while SSTR-PET did not reveal focal tracer uptake. Complete lymph node dissection revealed MCC metastases up to 5 mm in 2 out of 9 nodes. In patient 15 it was contrariwise: CT returned stage IIC disease (N0) whereas SSTR-PET indicated stage IIIB (N1b) (Figure 1); targeted lymph node extirpation confirmed N1a disease. Though, SSTR-PET did not visualize N1b disease detected by CT in one stage IV patient (no. 22). In addition, 3 patients (no. 9, 17, and 20) were found to have subcutaneous in-transit metastases correctly identified by SSTR-PET but not by CT (no. 9, 17 outside field-of-view of the CT scan).

Change of therapeutic management according to SSTR-PET

Patient-specific changes of management due to SSTR-PET results are listed in Table 1. Changes were observed in 3/24 patients (13%): detection of bone metastases resulted in treatment with bisphosphonates. Moreover, because these patients had disseminated bone lesions, local radiotherapy was excluded from treatment options. Furthermore, change of management could have also been possible in a fourth patient. SSTR-PET positivity of the sentinel lymph node indicated a complete lymph node dissection, but unremarkable morphologic imaging by CT and ultrasound made this lesion doubtful prompting a targeted extirpation instead. Since histologic workup confirmed a metastasis a complete lymph node dissection was performed.

Additional soft tissue or in-transit metastases did not change clinical management since multiple metastatic sites were detected in these patients, hence systemic treatment was initiated.

Repetitive SSTR-PET

Eight patients were imaged prior and after chemotherapeutic treatment. Four patients showed no response, neither by SSTR-PET nor by CT (no. 11, 15, 20, and 23). In the remainder, a minor response according to RECIST 1.1 or EORTC PET-criteria [26, 27] was indicated by both modalities. Patient no. 14 displayed diminished 68Ga-DOTATOC uptakes in the lymph node and bone after initiation of treatment, which is indicative of regression of the disease. In patient no. 16, a mixed response was observed with morphologically smaller, SSTR-PET-negative nodal but progressive pancreatic and new cerebral SSTR-PET-positive lesions. Patient no. 21 had a mixed response with partial remission of liver metastases and progression of lymph node metastases identified by both SSTR-PET and CT. Patient no. 22 showed reduction of cutaneous satellite, and stable nodal as well as bone metastases (Figure 3). However, this short-term response was followed by progression of all metastatic sites and development of new cerebral metastases indicated by SSTR-PET. Of interest, SSTR-PET identified brain metastases during re-staging in 2 patients corresponding to 8% of the total collective, i.e. 20% of the stage IV patients; in one of them, radiotherapy for brain metastases was performed.

Figure 3
figure 3

Repetitive SSTR-PET imaging for assessment of treatment response. Response to therapy assessed using repetitive SSTR-PET imaging. Patient no. 22 presented with a large primary tumor with satellite metastases (A). The primary tumor showed increased 68Ga-DOTATOC uptake (B, C). After combined radio-chemotherapy including liposomal doxorubicin (D), SSTR-expression was no longer detectable by SSTR-PET (E, F).

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Discussion

In this retrospective study, we have demonstrated that tumor staging using specific imaging of SSTR expression by PET is feasible and provides additional diagnostic information. All primary tumors were visualized with focal uptake of the radiotracer, indicating that SSTR-PET could be used for tumor localization in patients with unknown primary.

SSTR-PET showed higher sensitivity for detection of bone metastases as compared to CT, which is consistent with findings in other neuroendocrine cancers [28]. Notably, diagnosis of bone metastases provided a rationale for initiation of bisphosphonate treatment in those three patients. Interestingly, two patients of our cohort were diagnosed with cerebral metastases based on SSTR-PET. A rate of 8% in the total cohort, i.e. 20% in stage IV patients, is much higher than expected from previous observations that reported central nervous system involvement to be a very rare event in MCC. Thus, SSTR-PET appears as a highly sensitive means to detect cerebral metastases of MCC that may have been under-diagnosed previously [29] and SSTR-PET is superior to FDG-PET in this regard [14]. SSTR-PET was superior to CT regarding detection of soft tissue metastases which could also have further impact on the therapeutic decision making process. Overall, patient management was directly changed in 13% of cases.

In contrast, SSTR-PET turned out to be significantly inferior to CT in terms of imaging liver and lung metastases. This is likely due to physiologically high uptake in the liver. With respect to the lung, pulmonary metastases from MCC are generally small and motion artifacts due to breathing negatively interfere with lesion detection by PET. Detection of cutaneous metastases depends on lesion size. In the present series, lesions had to be at least 5 mm to be visualized with SSTR-PET. However, several skin metastases did not show increased tracer uptake despite a size > 15 mm. A similar result has been recently described for gamma camera-based imaging using 111In-octreotide. With this imaging approach none of 14 cutaneous metastases were visualized in 2 patients [30].

Lymphatic metastases are frequent in MCC and severely impact prognosis [5]. However, MCC affects the elderly and is frequently localized in the head-and-neck region, thus both SLNB and possible radical lymphadenectomy are associated with an increased surgery risk. In our series, SSTR-PET was true negative in 6 SLN-negative patients and true positive in one SLN-positive patient but failed to demonstrate a 5 mm iliac lymph node metastasis in a patient who underwent complete lymph node dissection. Moreover, since neither SSTR- nor FDG-PET/CT consistently detects nodal MCC micro-metastases, these techniques are not intended to replace the sentinel lymph node biopsy [8, 13, 15]. However, if SSTR-PET detects unapparent lymph node metastases, as e.g. in patient no. 15, the patient can directly undergo complete lymphadenectomy, i.e. SLNB can be spared. SSTR-PET may have higher diagnostic performance than FDG-PET in MCC as pointed out in a recent case report [24]. In a retrospective analysis, FDG-PET/(CT) has been shown to be a useful tool in management of MCC and may lead to upstaging of 16% of patients [14]. A head-to-head comparison of both imaging approaches (SSTR expression vs. FDG metabolism) warrants an interesting tool for further research to gain deeper knowledge of tumor biology. However, SSTR-PET is superior to FDG-PET for detection of cerebral metastases of MCC and only SSTR-PET harbors the possibility of a theranostic approach towards the disease by combining diagnostic and therapeutic properties. Based on these notions, we propose a staging algorithm, which includes SSTR-PET/CT (Figure 4). Current therapy regimens for metastatic MCC have a limited impact on the overall survival [31]. Recently, treatment with somatostatin analogs has been reported for both MCC and NET [32–36]. In NETs, retention of DOTATOC, as measured by calculation of SUVmean or SUVmax, is usually at least 2-fold higher as compared to a reference segment in the liver. MCC lesions in our cohort showed markedly lower tracer retention of DOTATOC/-TATE. This fact indicates that response rates to targeted radionuclide therapy (i.e., 90Y-DOTATOC or 177Lu-DOTATATE) may be inferior, however, MCC is a very radiosensitive tumor and therefore, therapy with radio-labeled somatostatin analogs might nevertheless be considered in an otherwise limited therapeutic scenario.

Figure 4
figure 4

Proposed staging algorithm for MCC. SSTR-PET/CT should be considered prior to major surgery for stage III disease and for inoperable stage III and stage IV disease. SSTR-PET/CT should be performed prior to radiopeptide therapy. *Further clinical trials are required comparing DOTATOC/TATE-PET/CT versus FDG-PET/CT. **SSTR-targeted radiation therapy is an experimental treatment for MCC. Further clinical studies are needed.

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One of the limitations of our study is immanent to the orphan disease status of MCC: it comprises a limited number of patients; nevertheless, to the best of our knowledge, this is the largest cohort of MCC patients imaged by SSTR-PET to date. Other limitations are also related to the low incidence of MCC: The SSTR-PETs were carried out over a period of 3 years; over this period substantial improvements of SSTR-PET technologies were introduced. Thus, the majority of patients were examined using a dedicated PET scanner and only 5 patients were imaged by PET/CT. Thus, it can be assumed that implementation of integrated PET/CT scanners providing enhanced image quality will facilitate detection of smaller lesions. An example demonstrating improved image quality and sensitivity of PET/CT devices as compared to a PET only device is shown in the Additional file 1: Figure S1. Similarly, the possible benefits of 68Ga-DOTATATE over 68Ga-DOTATOC had been realized. However, since we could demonstrate the advantage of SSTR-PET in combination with contrast-enhanced CT using older technologies for correct staging of MCC, it can be envisaged that these benefits are even better with improved SSTR-PET techniques.

Conclusion

This study highlights the role of molecular imaging of SSTR expression in MCC. The advantage of SSTR-PET is based on an improved visualization of bone, soft tissue and brain metastases, whereas limitations relate to an insufficient detection of lung and liver metastases. Therefore, in MCC, SSTR-PET should be always performed in combination with contrast-enhanced CT; indeed, such an approach resulted in a change of patient management in 13% of cases. Furthermore, focally increased tracer uptake suggests treatment of MCC using β-emitter-labeled SSTR analogs such as 90Y- or 177Lu-DOTATATE as a therapeutic option.

Authors’ information

Initials: Kristina Buder (KB), Constantin Lapa (CL), Andreas Schirbel (AS), Ken Herrmann (KH), Michael C. Kreissl (MCK), Alexander Schnack (AlS), Eva Bettina Bröcker (EBB), Matthias Goebeler (MG), Andreas K. Buck (AKB), Jürgen C. Becker (JCB).

References

  1. Schrama D, Ugurel S, Becker JC: Merkel cell carcinoma: recent insights and new treatment options. Curr Opin Oncol. 2012, 24 (2): 141-149. 10.1097/CCO.0b013e32834fc9fe.

    Article  PubMed  Google Scholar 

  2. Agelli M, Clegg LX, Becker JC, Rollison DE: The etiology and epidemiology of merkel cell carcinoma. Curr Probl Cancer. 2010, 34 (1): 14-37. 10.1016/j.currproblcancer.2010.01.001.

    Article  PubMed  Google Scholar 

  3. Durani BK, Klein A, Henze M, Haberkorn U, Hartschuh W: Somatostatin analogue scintigraphy in Merkel cell tumours. Br J Dermatol. 2003, 148 (6): 1135-1140. 10.1046/j.1365-2133.2003.05338.x.

    Article  CAS  PubMed  Google Scholar 

  4. Fantini F, Johansson O: Neurochemical markers in human cutaneous Merkel cells. An immunohistochemical investigation. Exp Dermatol. 1995, 4 (6): 365-371. 10.1111/j.1600-0625.1995.tb00061.x.

    Article  CAS  PubMed  Google Scholar 

  5. Lemos BD, Storer BE, Iyer JG, Phillips JL, Bichakjian CK, Fang LC, Johnson TM, Liegeois-Kwon NJ, Otley CC, Paulson KG, Ross MI, Yu SS, Zeitouni NC, Byrd DR, Sondak VK, Gershenwald JE, Sober AJ, Nghiem P: Pathologic nodal evaluation improves prognostic accuracy in Merkel cell carcinoma: analysis of 5823 cases as the basis of the first consensus staging system. J Am Acad Dermatol. 2010, 63 (5): 751-761. 10.1016/j.jaad.2010.02.056.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Becker JC, Assaf C, Vordermark D, Reske SN, Hense J, Dettenborn T, Seitz O, Grabbe S: German guideline Merkel Cell Carcinoma. JDDG. 2013, Suppl. 3: 31-38.

    Article  Google Scholar 

  7. Boccara O, Girard C, Mortier L, Bens G, Saiag P, Guillot B: Guidelines for the diagnosis and treatment of Merkel cell carcinoma - Cutaneous Oncology Group of the French Society of Dermatology. Eur J Dermatol. 2012, 22 (3): 375-379.

    PubMed  Google Scholar 

  8. Colgan MB, Tarantola TI, Weaver AL, Wiseman GA, Roenigk RK, Brewer JD, Otley CC: The predictive value of imaging studies in evaluating regional lymph node involvement in Merkel cell carcinoma. J Am Acad Dermatol. 2012, 67 (6): 1250-1256. 10.1016/j.jaad.2012.03.018.

    Article  PubMed  Google Scholar 

  9. Sarnaik AA, Zager JS, Cox LE, Ochoa TM, Messina JL, Sondak VK: Routine omission of sentinel lymph node biopsy for merkel cell carcinoma < = 1 cm is not justified. J Clin Oncol. 2010, 28 (1): e7-10.1200/JCO.2009.25.9937.

    Article  PubMed  Google Scholar 

  10. Schwartz JL, Griffith KA, Lowe L, Wong SL, McLean SA, Fullen DR, Lao CD, Hayman JA, Bradford CR, Rees RS, Johnson TM, Bichakjian CK: Features predicting sentinel lymph node positivity in Merkel cell carcinoma. J Clin Oncol. 2011, 29 (8): 1036-1041. 10.1200/JCO.2010.33.4136.

    Article  PubMed  Google Scholar 

  11. Stokes JB, Graw KS, Dengel LT, Swenson BR, Bauer TW, Slingluff CL, Ledesma EJ: Patients with Merkel cell carcinoma tumors < or = 1.0 cm in diameter are unlikely to harbor regional lymph node metastasis. J Clin Oncol. 2009, 27 (23): 3772-3777. 10.1200/JCO.2008.20.8272.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Belhocine T, Pierard GE, Fruhling J, Letesson G, Bolle S, Hustinx R, Dargent JL, Flamen P, Rigo P: Clinical added-value of 18FDG PET in neuroendocrine-merkel cell carcinoma. Oncol Rep. 2006, 16 (2): 347-352.

    PubMed  Google Scholar 

  13. Concannon R, Larcos GS, Veness M: The impact of (18)F-FDG PET-CT scanning for staging and management of Merkel cell carcinoma: results from Westmead Hospital, Sydney, Australia. J Am Acad Dermatol. 2010, 62 (1): 76-84. 10.1016/j.jaad.2009.06.021.

    Article  PubMed  Google Scholar 

  14. Hawryluk EB, O’Regan KN, Sheehy N, Guo Y, Dorosario A, Sakellis CG, Jacene HA, Wang LC: Positron emission tomography/computed tomography imaging in Merkel cell carcinoma: a study of 270 scans in 97 patients at the Dana-Farber/Brigham and women’s cancer center. J Am Acad Dermatol. 2013, 68 (4): 592-599. 10.1016/j.jaad.2012.08.042.

    Article  PubMed  Google Scholar 

  15. Maury G, Dereure O, Du-Thanh A, Mariano-Goulart D, Guillot B: Interest of (18)F-FDG PET-CT scanning for staging and management of merkel cell carcinoma: a retrospective study of 15 patients. J Eur Acad Dermatol Venereol. 2011, 25 (12): 1420-1427. 10.1111/j.1468-3083.2011.03994.x.

    Article  CAS  PubMed  Google Scholar 

  16. Peloschek P, Novotny C, Mueller-Mang C, Weber M, Sailer J, Dawid M, Czerny C, Dudczak R, Kletter K, Becherer A: Diagnostic imaging in Merkel cell carcinoma: lessons to learn from 16 cases with correlation of sonography, CT, MRI and PET. Eur J Radiol. 2010, 73 (2): 317-323. 10.1016/j.ejrad.2008.10.032.

    Article  PubMed  Google Scholar 

  17. Siva S, Byrne K, Seel M, Bressel M, Jacobs D, Callahan J, Laing J, Macmanus MP, Hicks RJ: 18 F-FDG PET provides high-impact and powerful prognostic stratification in the staging of Merkel cell carcinoma: a 15-year institutional experience. J Nucl Med. 2013, 54 (8): 1223-1229. 10.2967/jnumed.112.116814.

    Article  CAS  PubMed  Google Scholar 

  18. Kwekkeboom DJ, Hoff AM, Lamberts SW, Oei HY, Krenning EP: Somatostatin analogue scintigraphy. A simple and sensitive method for the in vivo visualization of Merkel cell tumors and their metastases. Arch Dermatol. 1992, 128 (6): 818-821. 10.1001/archderm.1992.01680160102014.

    Article  CAS  PubMed  Google Scholar 

  19. Hofmann M, Maecke H, Borner R, Weckesser E, Schoffski P, Oei L, Schumacher J, Henze M, Heppeler A, Meyer J, Knapp H: Biokinetics and imaging with the somatostatin receptor PET radioligand (68)Ga-DOTATOC: preliminary data. Eur J Nucl Med. 2001, 28 (12): 1751-1757. 10.1007/s002590100639.

    Article  CAS  PubMed  Google Scholar 

  20. Boy C, Heusner TA, Poeppel TD, Redmann-Bischofs A, Unger N, Jentzen W, Brandau W, Mann K, Antoch G, Bockisch A, Petersenn S: 68Ga-DOTATOC PET/CT and somatostatin receptor (sst1-sst5) expression in normal human tissue: correlation of sst2 mRNA and SUVmax. Eur J Nucl Med Mol Imaging. 2011, 38 (7): 1224-1236. 10.1007/s00259-011-1760-x.

    Article  CAS  PubMed  Google Scholar 

  21. Miederer M, Seidl S, Buck A, Scheidhauer K, Wester HJ, Schwaiger M, Perren A: Correlation of immunohistopathological expression of somatostatin receptor 2 with standardised uptake values in 68Ga-DOTATOC PET/CT. Eur J Nucl Med Mol Imaging. 2009, 36 (1): 48-52. 10.1007/s00259-008-0944-5.

    Article  CAS  PubMed  Google Scholar 

  22. Gabriel M, Decristoforo C, Kendler D, Dobrozemsky G, Heute D, Uprimny C, Kovacs P, von Guggenberg E, Bale R, Virgolini IJ: 68Ga-DOTA-Tyr3-octreotide PET in neuroendocrine tumors: comparison with somatostatin receptor scintigraphy and CT. J Nucl Med. 2007, 48 (4): 508-518. 10.2967/jnumed.106.035667.

    Article  CAS  PubMed  Google Scholar 

  23. Schneider C, Schlaak M, Bludau M, Markiefka B, Schmidt MC: 68Ga-DOTATATE-PET/CT positive metastatic lymph node in a 69-year-old woman with Merkel cell carcinoma. Clin Nucl Med. 2012, 37 (11): 1108-1111. 10.1097/RLU.0b013e318266d3b3.

    Article  PubMed  Google Scholar 

  24. Epstude M, Tornquist K, Riklin C, di Lenardo F, Winterhalder R, Hug U, Strobel K: Comparison of 18 F-FDG PET/CT and 68Ga-DOTATATE PET/CT imaging in Metastasized Merkel cell carcinoma. Clin Nucl Med. 2013, 38 (4): 283-284. 10.1097/RLU.0b013e318281658e.

    Article  PubMed  Google Scholar 

  25. Breeman WA, de Blois E, Sze Chan H, Konijnenberg M, Kwekkeboom DJ, Krenning EP: (68)Ga-labeled DOTA-peptides and (68)Ga-labeled radiopharmaceuticals for positron emission tomography: current status of research, clinical applications, and future perspectives. Semin Nucl Med. 2011, 41 (4): 314-321. 10.1053/j.semnuclmed.2011.02.001.

    Article  PubMed  Google Scholar 

  26. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, Dancey J, Arbuck S, Gwyther S, Mooney M, Rubinstein L, Shankar L, Dodd L, Kaplan R, Lacombe D, Verweij J: New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009, 45 (2): 228-247. 10.1016/j.ejca.2008.10.026.

    Article  CAS  PubMed  Google Scholar 

  27. Young H, Baum R, Cremerius U, Herholz K, Hoekstra O, Lammertsma AA, Pruim J, Price P, Canc EORT: Measurement of clinical and subclinical tumour response using [F-18]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. Eur J Cancer. 1999, 35 (13): 1773-1782. 10.1016/S0959-8049(99)00229-4.

    Article  CAS  PubMed  Google Scholar 

  28. Putzer D, Gabriel M, Henninger B, Kendler D, Uprimny C, Dobrozemsky G, Decristoforo C, Bale RJ, Jaschke W, Virgolini IJ: Bone metastases in patients with neuroendocrine tumor: 68Ga-DOTA-Tyr3-octreotide PET in comparison to CT and bone scintigraphy. J Nucl Med. 2009, 50 (8): 1214-1221. 10.2967/jnumed.108.060236.

    Article  PubMed  Google Scholar 

  29. Bailey TL, Fung MA, Gandour-Edwards R, Ellis WG, Schrot RJ: Clinical emergence of neurometastatic merkel cell carcinoma: a surgical case series and literature review. J Neurooncol. 2011, 102 (1): 147-155. 10.1007/s11060-010-0304-8.

    Article  PubMed  Google Scholar 

  30. Guitera-Rovel P, Lumbroso J, Gautier-Gougis MS, Spatz A, Mercier S, Margulis A, Mamelle G, Kolb F, Lartigau E, Avril MF: Indium-111 octreotide scintigraphy of Merkel cell carcinomas and their metastases. Ann Oncol. 2001, 12 (6): 807-811. 10.1023/A:1011142410535.

    Article  CAS  PubMed  Google Scholar 

  31. Voog E, Biron P, Martin JP, Blay JY: Chemotherapy for patients with locally advanced or metastatic Merkel cell carcinoma. Cancer. 1999, 85 (12): 2589-2595. 10.1002/(SICI)1097-0142(19990615)85:12<2589::AID-CNCR15>3.0.CO;2-F.

    Article  CAS  PubMed  Google Scholar 

  32. di Bartolomeo M, Bajetta E, Buzzoni R, Mariani L, Carnaghi C, Somma L, Zilembo N, di Leo A: Clinical efficacy of octreotide in the treatment of metastatic neuroendocrine tumors. A study by the Italian trials in medical oncology group. Cancer. 1996, 77 (2): 402-408. 10.1002/(SICI)1097-0142(19960115)77:2<402::AID-CNCR25>3.0.CO;2-4.

    Article  CAS  PubMed  Google Scholar 

  33. Fakiha M, Letertre P, Vuillez JP, Lebeau J: Remission of Merkel cell tumor after somatostatin analog treatment. J Cancer Res Ther. 2010, 6 (3): 382-384. 10.4103/0973-1482.73352.

    Article  CAS  PubMed  Google Scholar 

  34. Meier G, Waldherr C, Herrmann R, Maecke H, Mueller-Brand J, Pless M: Successful targeted radiotherapy with 90Y-DOTATOC in a patient with Merkel cell carcinoma. a case report. Oncology. 2004, 66 (2): 160-163. 10.1159/000077443.

    Article  CAS  PubMed  Google Scholar 

  35. Salavati A, Prasad V, Schneider CP, Herbst R, Baum RP: Peptide receptor radionuclide therapy of Merkel cell carcinoma using (177)lutetium-labeled somatostatin analogs in combination with radiosensitizing chemotherapy: a potential novel treatment based on molecular pathology. Ann Nucl Med. 2012, 26 (4): 365-369. 10.1007/s12149-012-0578-3.

    Article  CAS  PubMed  Google Scholar 

  36. Schmidt MC, Uhrhan K, Markiefka B, Hasselbring L, Schlaak M, Cremer B, Kunze S, Baum RP, Dietlein M: (68)Ga-DotaTATE PET-CT followed by peptide receptor radiotherapy in combination with capecitabine in two patients with merkel cell carcinoma. Int J Clin Exp Med. 2012, 5 (4): 363-366.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank Professor Ling Gao and Mrs. Christiane Wagner for critically reading the manuscript.

This publication was funded by the German Research Foundation (DFG) and the University of Würzburg in the funding programme Open Access Publishing

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    Authors and Affiliations

    1. Department of Dermatology, Venereology and Allergology, University Hospital Würzburg, Josef-Schneider-Strasse 2, 97080, Würzburg, Germany

      Kristina Buder, Eva-Bettina Bröcker, Matthias Goebeler & Jürgen C Becker

    2. Comprehensive Cancer Center Mainfranken, University Hospital Würzburg, Josef-Schneider-Strasse 6, 97080, Würzburg, Germany

      Kristina Buder

    3. Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080, Würzburg, Germany

      Constantin Lapa, Michael C Kreissl, Andreas Schirbel, Ken Herrmann & Andreas K Buck

    4. Department of Nuclear Medicine, Central Hospital of Augsburg, Stenglinstr.2, 86156, Augsburg, Germany

      Michael C Kreissl

    5. Department of Radiology, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080, Würzburg, Germany

      Alexander Schnack

    6. Department of General Dermatology, Medical University Graz, Auenbrugger Platz 1, 8036, Graz, Austria

      Jürgen C Becker

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    1. Kristina Buder
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    Correspondence to Kristina Buder.

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    The authors declare that they have no competing interests.

    Authors’ contributions

    KB, CL, MCK, EBB, MG, AKB and JCB are responsible for conception and design. Data were obtained by KB, CL, AlS, and MCK. AS and KH provided technical support. All authors contributed to analysis and interpretation of data, wrote, reviewed and approved the final manuscript.

    Kristina Buder, Constantin Lapa contributed equally to this work.

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    Additional file 1: Figure S1: Improved sensitivity by integrated PET/CT. Example of one patient who received both PET only and contrast-enhanced CT scan (A-C) as well as integrated PET/CT imaging six months later (D-F). A small left-sided supraclavicular lymph node (A + D) was depicted as lymph node metastasis by integrated PET/CT indicating focal SSTR expression of the metastatic node (D: fused PET/CT image, E/F: PET). (TIFF 597 KB)

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    Buder, K., Lapa, C., Kreissl, M.C. et al. Somatostatin receptor expression in Merkel cell carcinoma as target for molecular imaging. BMC Cancer 14, 268 (2014). https://doi.org/10.1186/1471-2407-14-268

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    Keywords

    BMC Cancer

    ISSN: 1471-2407

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