Skip to main content

REVIEW article

Front. Nucl. Med., 06 January 2022
Sec. PET and SPECT
This article is part of the Research Topic Molecular Imaging in Multiple Myeloma: An Update and Future Perspectives View all 5 articles

Amino Acid and Proliferation PET/CT for the Diagnosis of Multiple Myeloma

  • Division of Nuclear Medicine, Department of Radiology, National Center for Global Health and Medicine, Tokyo, Japan

Multiple myeloma (MM) is a hematologic malignancy characterized by infiltration of monoclonal plasma cells in the bone marrow (BM). The standard examination performed for the assessment of bone lesions has progressed from radiographic skeletal survey to the more advanced imaging modalities of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography/computed tomography (PET/CT). The Durie–Salmon PLUS staging system (upgraded from the Durie–Salmon staging system) applies 2-[18F]-fluoro-2-deoxy-glucose (18F-FDG) PET/CT, and MRI findings to the staging of MM, and 18F-FDG PET/CT has been incorporated into the International Myeloma Working Group (IMWG) guidelines for the diagnosis and staging of MM. However, 18F-FDG PET/CT has significant limitations in the assessment of diffuse BM infiltration and in the differentiation of MM lesions from inflammatory or infectious lesions. The potential of several new PET tracers that exploit the underlying disease mechanism of MM has been evaluated in terms of improving the diagnosis. L-type amino acid transporter 1 (LAT1), a membrane protein that transports neutral amino acids, is associated with cell proliferation and has strong ability to represent the status of MM. This review evaluates the potential of amino acid and proliferation PET tracers for diagnosis and compares the characteristics and accuracy of non-FDG tracers in the management of patients with MM.

Introduction

Multiple myeloma (MM) is a clonal plasma cell proliferative disorder characterized by primary infiltration of bone marrow (BM), disruption of bone homeostasis, and excessive production of abnormal immunoglobulin that leads to bone destruction and marrow failure (1). Patients with suspected MM can be initially diagnosed with monoclonal gammopathy of undetermined significance (MGUS), solitary plasmacytoma, smoldering MM (SMM), or active (symptomatic) MM on the basis of clinical assessment. MGUS is the premalignant stage of MM, with an incidence of progression to MM of 0.5–1% per year. SMM is an intermediate clinical stage with a risk of progression to MM of 10% per year (2). In general, patients with SMM have almost no typical symptoms related to active MM, and no treatment is required. Confirmation of the MM status has implications in deciding the appropriate therapy.

2-[18F]-fluoro-2-deoxy-glucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) is now fully incorporated in the updated diagnostic and staging criteria for MM of the International Myeloma Working Group (IMWG) (3). According to the National Comprehensive Cancer Network (NCCN) guidelines, either whole-body low-dose CT or 18F-FDG PET/CT is recommended for the initial diagnostic workup for patients with suspected MM (4). There are several advantages of 18F-FDG PET/CT. It enables assessment of the tumor burden and disease activity of MM with high sensitivity and specificity (5). Patients with SMM have a high risk of progression to active MM if the lesions have positive 18F-FDG uptake (6, 7). 18F-FDG PET/CT can identify possible progression in patients with SMM and may have potential in decision-making for therapeutic interventions (7).

However, two significant limitations of 18F-FDG PET/CT are its poor sensitivity in patients with diffuse BM infiltration and its unreliable specificity due to its inability to discriminate between inflammatory/infectious lesions and MM lesions (8). Diffusion-weighted MRI identified viable disease in 11% of patients who were false-negative on 18F-FDG PET due to low hexokinase 2 (HK2) gene expression (9). Over a third of intramedullary myeloma lesions were undetected by 18F-FDG PET (10). For these reasons, alternative PET tracers that follow the molecular mechanism and disease condition of MM are under investigation. In this review, the potential of amino acid and proliferation PET/CT for the diagnosis of MM is discussed.

Basic Mechanism of Amino Acid Transport in MM

The L-type amino acid transporter 1 (LAT1) is a membrane protein that transports neutral amino acids, functioning as a part of system L that provides nutrients for cellular intake (11, 12). LAT1 (4F2 light chain) is connected to the membrane-spanning 4F2 heavy chain (CD98) for its functional expression as part of a heterodimeric complex in the plasma membrane (1214). Amino acid transporters (including LAT1) that intake essential amino acids as nutrients for cancer cells play a key role in cell growth and proliferation (11, 12, 15). The expression levels of LAT1 positively correlate with cell proliferation (Ki-67 labeling index), p53 expression, and vascular endothelial growth factor (VEGF) levels, as well as poor prognosis in various solid cancers (16, 17).

Isoda et al. (18) investigated the expression of LAT1 in patients with MM in an immunohistochemical staining study. They set three grades for the staining results (grade 0, no staining or <10% of tumor cells; grade 1+, ≥10% of tumor cells with weak staining intensity; grade 2+, ≥10% of tumor cells with moderate staining intensity; and grade 3+, ≥10% of tumor cells with strong staining intensity) and defined scores of 0 and 1+ as immunohistochemically low expression and scores of 2+ and 3+ as immunohistochemically high expression. High expressions of LAT1 and CD98 were detected in 56 and 45% of patients with MM, respectively. The expression score of LAT1 was positively correlated with the Ki-67 index (r = 0.631). Regarding Durie–Salmon stage (DSS), a statistically significant difference in the expressions of LAT1 and CD98 was confirmed between DSS I and II, and III. In contrast, age (≤65 or >65 years), sex, International Staging System (ISS), cytogenetic abnormality, extramedullary plasmacytoma, and BM plasma cells had no association with LAT1 or CD98.

The expressions of LAT1 and CD98 can predict 3-year progression-free survival (PFS) with hazard ratios higher than those of ISS, DSS, and cytogenetic abnormality. LAT1 is also a predictive marker of 3-year overall survival (OS) almost equivalent to ISS. The overall response rate in MM patients treated with melphalan and prednisolone was approximately 4 times higher in the high-LAT1-expression group than that in the low-LAT1-expression group. LAT1 was significantly associated with high proliferation and poor prognosis in newly diagnosed MM patients. These results indicate that LAT1 is a promising pathological marker for identifying high-risk MM (18).

Basic Study of MET PET in MM

The major radiolabeled amino acid PET tracer is L-[methyl-11C]methionine (11C-MET), which can be rapidly synthesized in high radiochemical yield without the need for purification steps (19). The uptake of 11C-MET primarily indicates transmembrane transport majority by LAT1, which is influenced by the intracellular metabolism of the amino acid (20).

The levels of 11C-MET differ according to the myeloma cell line. 11C-MET uptake was significantly higher in cell lines characterized by higher levels of intracellular immunoglobulin light chains and higher CD138 and CXCR4 expressions on the cell surface, and the presence of cytogenetic aberrations was associated with worse prognosis (2123). Based on the myeloma cell lines and patient-derived CD138+ plasma cells, retention was from 1.5- to 5.0-fold higher in 11C-MET than in 18F-FDG, even as early as 5 min post-tracer application (23).

As 11C-MET uptake can reflect myeloma tumor biology, it therefore has potential for the assessment of myeloma heterogeneity and the discrimination of tumor subtypes.

Treatment with proteasome inhibitors reduced the uptake of both 11C-MET and 18F-FDG in myeloma cell lines, and changes in tracer retention were associated with CD138 expression. In xenotransplant mice, 11C-MET uptake significantly decreased (by 30–79%) as early as 24 h after treatment; in contrast, 18F-FDG uptake showed no specific trend early after the treatment. This finding was confirmed in patient-derived MM cells. Reduction of 11C-MET uptake at 24 h after treatment initiation correlated with a reduction in tumor burden after completion of one cycle of chemotherapy and survival in mice. Thus, 11C-MET-PET has predictive potential regarding response and survival early after treatment initiation (24).

Clinical Value of 11C-MET-PET in MM

The incorporation of amino acids into newly synthesized immunoglobulins was first reported in 1978 (25). The mechanism of 11C-MET uptake in myeloma lesions is the incorporation of methionine into abnormal immunoglobulin production in lesions. The optimal timing for scanning of 11C-MET PET/CT was 20 min after the administration of 11C-MET PET/CT. Dankerl et al. (26) reported their initial experience of the visualization of active MM with 11C-MET, which was in contrast to its low uptake in the BM. 11C-MET could detect both intra- and extramedullary lesions, as we experienced (Figure 1). Nakamoto et al. (27) reported the higher sensitivity of 11C-MET PET than 18F-FDG (89 vs. 78%) in 20 patients (15 with MM and 5 with plasmacytoma) (27). Lapa et al. (28) presented the significantly higher sensitivity of 11C-MET PET than 18F-FDG (76 vs. 60%) in the identification of medullary and extramedullary lesions in 78 patients (4 solitary plasmacytomas, 5 SMMs, and 69 symptomatic MMs). In contrast to laboratory data, 11C-MET positivity was correlated with the concentrations of β2 microglobulin and free light chains (FLCs), which are key prognostic factors in MM. These findings indicate that 11C-MET PET is a promising PET tracer that can indicate disease activity and the degree of BM involvement in MM (28, 29). The representative images of 11C-MET PET, which could identify active MM lesions earlier than 18F-FDG, are shown in Figure 2.

FIGURE 1
www.frontiersin.org

Figure 1. A 71-year-old man diagnosed with smoldering multiple myeloma (SMM). (A) 2-[18F]-fluoro-2-deoxy-glucose positron emission tomography/computed tomography (18F-FDG PET/CT). (B) L-[Methyl-11C]methionine (11C-MET) PET/CT. Extramedullary lesion in the mediastinum (arrow) was identified both by 18F-FDG PET/CT (SUVmax = 4.5) and 11C-MET PET/CT (SUVmax = 7.5).

FIGURE 2
www.frontiersin.org

Figure 2. A 53-year-old woman diagnosed with asymptomatic multiple myeloma. (A) Upper: whole-body 2-[18F]-fluoro-2-deoxy-glucose positron emission tomography (18F-FDG PET); lower: 18F-FDG PET/CT image of the pelvis. (B) Upper: whole-body L-[methyl-11C]methionine (11C-MET) PET; lower: 11C-MET PET/CT image of the pelvis. (C) MRI (TI-weighted image). (D) MRI (T2-fat-suppressed image). (E) Gadolinium-enhanced image. The patient was observed without any therapeutic intervention. 18F-FDG PET/CT and 11C-MET PET/CT were performed to confirm the current status of the disease. 11C-MET PET/CT images represented active diffuse MM lesions in the skeleton (upper and lower extremity, rib, vertebra, and pelvis) much more clearly than 18F-FDG PET/CT and MRI. Physiological uptake of 11C-MET was confirmed in the salivary grand, liver, pancreas, and kidney.

In the assessment of MM lesions, positive lesions were detected by visual interpretation as areas of locally increased tracer uptake compared with the surrounding normal tissue or contralateral structures (28). Quantitative analysis has been performed using the maximum standardized uptake (SUVmax) and mean standardized uptake (SUVmean) values of the identified MM lesions, in which the SUVmax of 11C-MET tended to be higher than that of 18F-FDG. 11C-MET was found to detect more focal MM lesions than 18F-FDG (8, 27, 30), and a higher 11C-MET uptake was related to poor prognosis (31).

In contrast to the results of visual interpretation of 11C-MET-PET in MM, no correlation was found for the semiquantitative parameters (SUVmean and SUVmax) of 11C-MET with cytogenetics or pathological changes in laboratory values, including albumin (<3.5 g/dl), creatinine (>1.2 mg/dl), β2 macroglobulin (>3.5 mg/l), or the levels of free light chains (>100) (29).

A significant correlation was confirmed between BM plasma cell (BMPC) infiltration and the mean target-to-background ratio (TBRmean) on 11C-MET in the lumbar vertebrae of SMM patients (r = 0.789), which is close to that for 68Ga-Pentixafor (r = 0.724), but higher than that for 18F-FDG PET/CT (r = 0.355) (31).

In the volume-based analysis, the median total metabolic tumor volume (TMTV) was significantly higher for 11C-MET PET/CT than for 18F-FDG, with a median difference of 141.2%. In addition, the total lesion 11C-MET uptake (TLMU) was higher than the total lesion glycolysis (TLG) of 18F-FDG, with a median difference of 216.7% (8). Positive correlations were determined in 11C-MET PET/CT for TLMU and the β2 macroglobulin levels, TLMU and the M component, and TLMU and BM infiltration (r = 0.450). However, no definite cutoff value has been specified for any quantitative 11C-MET uptake value for the assessment of MM; thus, further study is required to estimate a reliable cutoff value.

In approximately 40% of patients, 11C-MET PET was superior to 11C-choline PET in terms of the number of intramedullary lesions detected (32).

Chemokine receptor-4 (CXCR4) plays a crucial role in tumor growth, progression, invasiveness, and metastasis. Overexpression of CXCR4 was observed in more than 30 different tumors, including MM (33). 68Ga-Pentixafor is a novel PET tracer with high affinity for CXCR4. Several studies have demonstrated that 68Ga-Pentixafor was superior or equal to 18F-FDG PET/CT in the diagnosis of MM (34, 35). By comparing 68Ga-Pentixafor and 11C-MET PET with 18F-FDG PET/CT, the greater sensitivity of 68Ga-Pentixafor and 11C-MET PET/CT in the evaluation of BM involvement in patients with SMM was demonstrated (31).

Uptake of the amino acid tracer fluoro-ethyl-tyrosine (18F-FET) in the tumor is mediated by LAT1 and sodium-dependent transport via a system similar to system B0 (3638). Unlike 11C-MET, 18F-FET is not incorporated into proteins (36, 37).

A basic study showed that the intracellular uptake of 18F-FET in a myeloma cell line was lower than that of 18F-FDG and 11C-MET and that the amount of 18F-FET retained by CD138+ plasma cells tended to be less than that of 18F-FDG and 11C-MET (23). A clinical study found sensitivity and specificity values of 55.58 and 9.09%, respectively, for 18F-FET PET/CT assessment. Thus, 18F-FET does not seem to be a promising biomarker in myeloma imaging (39).

Proliferation PET for MM

MM is a clonal plasma cell proliferative disorder primary in the BM. The proliferation status of myeloma cells has been assessed using the plasma cell labeling index, nuclear proliferation antigen Ki-67 index, and metaphase cytogenetics (18, 4043).

[18F]Fluorothymidine (18F-FLT) is a radiolabeled thymidine analog that is trapped by cells in the S-phase of the cellular cycle (44). It is not incorporated into DNA, thus imaging as a surrogate of Ki-67. 18F-FLT PET/CT can indicate proliferation noninvasively in patients with neoplasms. Retention of the tracer within cells partially reflects thymidine kinase activity and is often positively correlated with cellular proliferation (45).

In the first report evaluating 18F-FLT PET/CT in MM, the affected osteolytic areas in two MM patients showed low 18F-FLT uptake (46). Sachpekidis et al. (47) reported that 18F-FLT PET/CT failed to identify myeloma-associated skeletal disease in 60% (3/5) of patients with bone lesions, in contrast to the positive uptake with 18F-FDG PET/CT. In addition, the number of identified myeloma lesions was significantly lower with 18F-FLT PET/CT than with 18F-FDG PET/CT. The SUVmean and SUVmax values of MM lesions were significantly higher for 18F-FLT than for 18F-FDG, but those of normal bone regions were also higher for 18F-FLT (47). 18F-FLT uptake in the BM of healthy control subjects was increased in the spine (SUVmean = 4.56 ± 1.36) (48), which appears to be a limitation of 18F-FLT-PET/CT in differentiating active MM from normal bone. Gallicchio et al. (49) evaluated the prognostic value of the combined use of 18F-FDG and 18F-FLT PET/CT in patients with MM who had suspected relapse after first-line therapy. The 18F-FDG and/or 18F-FLT positive group showed worsened event-free survival (EFS) than both negative groups. Therefore, the combined use of 18F-FDG and 18F-FLT PET/CT in MM can be a prognostic indicator of patients with a higher risk of recurrence.

MM is generally characterized by a low proliferation rate with a very small fraction of proliferating cells (50). The study of Sachpekidis found an increased 18F-FLT PET/CT tracer accumulation in a patient with lesions that showed extramedullary expansion. Extramedullary expansion of MM is associated with increased proliferation (51, 52). Thus, 18F-FLT appears to be a potential tool for identifying MM patients with a hyperproliferative tumor leading to poor prognosis, but does not seem suitable as a tracer in the diagnosis of MM.

Carbon-11-labeled 4′-thiothymidine (11C-4DST) is a thymidine analog and is a cell proliferation imaging agent based on the mechanism of its incorporation into DNA (5355). 11C-4DST is synthesized with up to 70% decay-corrected yields (56). Based on clinical investigation, the optimal timing for scanning of 11C-4DST PET/CT was 20–40 min after its administration (56). All the 11C-4DST PET/CT studies for the assessment of malignancy in our facility were made consistent to start the PET/CT scan from 40 min after the administration of 11C-4DST.

11C-4DST PET/CT demonstrated positive potential for proliferation imaging in lung cancer and renal cell cancer that correlated highly with Ki-67 (57, 58). The proliferation status estimated from the expression of Ki-67 was associated with advanced stages and prognosis of MM (42), which is why the assessment of MM has been challenged using 11C-4DST rather than 11C-MET and 18F-FDG PET/CT.

11C-4DST PET/CT has higher sensitivity and accuracy than 18F-FDG for MM, but similar specificity. There was no statistically significant difference in diagnostic ability between 11C-4DST and 11C-MET. 11C-4DST uptake (15.8 ± 9.79) in untreated MM lesions was higher than the uptake of 18F-FDG (4.00 ± 1.63) and 11C-MET (5.74 ± 2.15); however, there was little difference in the uptake between 11C-MET and 18F-FDG for these lesions (30). Compared to the plasma cell infiltration obtained by BM aspiration, 11C-4DST has potential for identifying MM patients who have ≥10% plasma cells in the cytology specimen. In the case of 10–20% plasma cells in the cytology specimen, equivocal 11C-MET uptake was still confirmed in the MM lesion. All cases of ≥30% plasma cells in the cytology specimen showed positive findings in 11C-4DST and 11C-MET. In contrast, 18F-FDG was positive in the case of ≥59% of plasma cells in the cytology specimen. These results indicate that 11C-4DST and 11C-MET may be able to detect active MM earlier than is possible with 18F-FDG (30). The representative images are shown in Figure 3.

FIGURE 3
www.frontiersin.org

Figure 3. A 65-year-old man diagnosed with IgG-type multiple myeloma was suspected of disease recurrence because of an increased level of myeloma (M) protein. (A) 2-[18F]-fluoro-2-deoxy-glucose positron emission tomography/computed tomography (18F-FDG PET/CT). (B) L-[Methyl-11C]methionine (11C-MET) PET/CT. (C) Carbon-11-labeled 4′-thiothymidine (11C-4DST) PET/CT. 11C-MET PET/CT and 11C-4DST PET/CT could identify the diffuse active lesions in the bone marrow. Moreover, 11C-4DST PET/CT could better detect further disease invasion (arrow) than 11C-MET PET/CT.

11C-4DST PET/CT may be superior to 18F-FDG PET/CT and whole-body magnetic resonance imaging (WBMRI) for the evaluation of MM. Moreover, combined 11C-4DST PET and WBMRI showed strong potential for changing the management of patients with MM (59) (Figure 4).

FIGURE 4
www.frontiersin.org

Figure 4. (A) CT (bone window). (B) MRI (TI-weighted image). (C) Carbon-11-labeled 4′-thiothymidine positron emission tomography/computed tomography (11C-4DST PET/CT). (D) 2-[18F]-fluoro-2-deoxy-glucose (18F-FDG) PET/CT. 11C-4DST could distinguish active (arrow) and inactive (arrowhead) myeloma lesions in a vertebral body, those that were regarded as all positive on MRI and CT and all negative on 18F-FDG.

The identification of positive lesions close to a high physiological PET uptake can be a limitation of PET scan. In our experience, 18F-FDG PET/CT can miss cranial bone lesions due to the high physiological 18F-FDG uptake in the brain; in contrast, 11C-4DST and 11C-MET can clearly identify active MM lesions because they have much lower physiological uptake in the brain (Figure 4). 11C-4DST and 11C-MET are limited for the assessment of lesions close to the liver, spleen, pancreas, and kidney, which tend to show high physiological uptake of 11C-4DST and 11C-MET (Figure 5).

FIGURE 5
www.frontiersin.org

Figure 5. Upper low (cranial bone lesion, arrow): (A) 2-[18F]-fluoro-2-deoxy-glucose positron emission tomography/computed tomography (18F-FDG PET/CT). (B) L-[Methyl-11C]methionine (11C-MET) PET/CT. (C) Carbon-11-labeled 4′-thiothymidine (11C-4DST) PET/CT. Lower low (right rib lesion, arrowhead): (D) 18F-FDG PET/CT. (E) 11C-MET PET/CT. (F) 11C-4DST PET/CT. Identification of positive lesions close to a high physiological PET uptake can be a limitation of PET scan. In contrast to 11C-4DST and 11C-MET, which can clearly identify active multiple myeloma (MM) lesions because of their much lower physiological uptake in the brain, 18F-FDG PET can miss cranial bone lesions due its high physiological 18F-FDG uptake in the brain. 11C-4DST and 11C-MET are limited for the assessment of lesions close to the liver, which shows high physiological uptake of 11C-4DST and 11C-MET.

The physiological uptake of 11C-4DST in the BM has been estimated as approximately SUVmax = 3 (53). 11C-4DST uptake in the BM might reflect the underlying activity of MM, estimated by several biomarkers related to its progression (60).

Challenges in the Diagnosis of Diffuse-Type MM

The skeletal uptake patterns of 18F-FDG PET for MM are classified as diffuse BM uptake, focal uptake, mixed (combined diffuse and focal), and normal (61). The Durie–Salmon PLUS staging system applies 18F-FDG PET/CT and MRI findings for the staging of MM, with criteria including the number of focal lesions and/or the severity (mild, moderate, and severe) of diffuse disease (62).

A limitation of 18F-FDG PET is its unreliability in discriminating diffuse BM involvement from reactive change, with MRI being the modality of choice for imaging diffuse BM involvement (3). Paschali et al. (63) reported that the pelvis/liver SUVmax ratio using a cutoff value of 1.1 showed a positive correlation with BM infiltration rate, with specificity of 99% and sensitivity of 76%, indicating its promise as a marker in the assessment of diffuse BM involvement in MM. In our experience, 11C-4DST and 11C-MET have potential for detecting diffuse BM involvement in MM, possibly at an earlier stage than is possible with 18F-FDG. It is necessary to confirm its suitability in a further study.

These promising PET tracers provide a deeper understanding of the molecular mechanism of MM and the status of each patient with MM. Newer PET tracers have the potential of replacing the role of 18F-FDG PET/CT in MM due to their better detection of MM lesions; however, they have limitations regarding accessibility and require more solid evidence in further prospective clinical trials.

More sensitive PET tracers for the detection of MM may contribute to assessing the more recent status of patients with MM. However, further studies are required to evaluate the impact of newer PET tracers for the Durie–Salmon PLUS staging system.

Conclusion

18F-FDG PET is established as a standard imaging modality for the assessment of patients with MM. The recently developed PET tracers outperform 18F-FDG PET in terms of diagnostic ability and show potential to assist in the selection of the most suitable treatment. However, it is necessary to obtain conclusive evidence in future prospective clinical studies before these findings can be confirmed.

Author Contributions

RM contributed to the conception or design of the work, reading the existing literature, drafting and checking the paper, and approved the submitted version.

Conflict of Interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Nanni C, Fanti S, Zanoni L. Molecular Imaging in Multiple Myeloma. Cham: Springer Nature Switzerland AG (2019).

Google Scholar

2. Rajkumar SV, Dimopoulos MA, Palumbo A, Blade J, Merlini G, Mateos MV, et al. International myeloma working group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. (2014) 15:e538–48. doi: 10.1016/S1470-2045(14)70442-5

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Cavo M, Terpos E, Nanni C, Moreau P, Lentzsch S, Zweegman S, et al. Role of (18)F-FDG PET/CT in the diagnosis and management of multiple myeloma and other plasma cell disorders: a consensus statement by the international myeloma working group. Lancet Oncol. (2017) 18:e206–17. doi: 10.1016/S1470-2045(17)30189-4

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Kumar SK, Callander NS, Adekola K, Anderson L, Baljevic M, Campagnaro E, et al. Multiple myeloma, version 3.2021, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. (2020) 18:1685–717. doi: 10.6004/jnccn.2020.0057

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Lu YY, Chen J-H, Lin W-Y, Liang J-A, Wang H-Y, Tsai S-C, et al. FDG PET or PET/CT for detecting intramedullary and extramedullary lesions in multiple Myeloma: a systematic review and meta-analysis. Clin Nucl Med. (2012) 37:833–7. doi: 10.1097/RLU.0b013e31825b2071

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Zamagni E, Nanni C, Gay F, Pezzi A, Patriarca F, Bell‘o M, et al. 18F-FDG PET/CT focal, but not osteolytic, lesions predict the progression of smoldering myeloma to active disease. Leukemia. (2016) 30:417–22. doi: 10.1038/leu.2015.291

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Rajkumar SV, Landgren O, Mateos MV. Smoldering multiple myeloma. Blood. (2015) 125:3069–75. doi: 10.1182/blood-2014-09-568899

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Morales-Lozano MI, Viering O, Samnick S, Rodriguez-Otero P, Buck AK, Marcos-Jubilar M, et al. 18F-FDG and 11C-Methionine PET/CT in Newly diagnosed multiple myeloma patients: comparison of volume-based PET biomarkers. Cancers (Basel). (2020) 12:1042. doi: 10.3390/cancers12041042

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Rasche L, Angtuaco E, McDonald JE, Buros A, Stein C, Pawlyn C, et al. Low expression of hexokinase-2 is associated with false-negative FDG–positron emission tomography in multiple myeloma. Blood. (2017) 130:30–4. doi: 10.1182/blood-2017-03-774422

PubMed Abstract | CrossRef Full Text | Google Scholar

10. van Lammeren-Venema D, Regelink JC, Riphagen II, Zweegman S, Hoekstra OS, Zijlstra JM. 18F-fluoro-deoxyglucose positron emission tomography in assessment of myeloma-related bone disease: a systematic review. Cancer. (2012) 118:1971–81. doi: 10.1002/cncr.26467

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Christensen HN. Role of amino acid transport and countertransport in nutrition and metabolism. Physiol Rev. (1990) 70:43–77. doi: 10.1152/physrev.1990.70.1.43

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Lu JJ, Li P, Yang Y, Wang L, Zhang Y, Zhu JY, et al. Prognostic value of LAT-1 status in solid cancer: a systematic review and meta-analysis. PLoS ONE. (2020) 15:e0233629. doi: 10.1371/journal.pone.0233629

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Kanai Y, Segawa H, Miyamoto KI, Uchino H, Takeda E, Endou H. Expression cloning and characterization of a transporter for large neutral amino acids activated by the heavy chain of 4F2 antigen (CD98). J Biol Chem. (1998) 273:23629–32. doi: 10.1074/jbc.273.37.23629

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Yanagida O, Kanai Y, Chairoungdua A, Kim DK, Segawa H, Nii T, et al. Human L-type amino acid transporter 1 (LAT1): characterization of function and expression in tumor cell lines. Biochim Biophys Acta. (2001) 1514:291–302. doi: 10.1016/S0005-2736(01)00384-4

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Mcgivan JD, Pastor-Anglada M. Regulatory and molecular aspects of mammalian amino acid transport. Biochem J. (1994) 299 (Pt 2):321–34. doi: 10.1042/bj2990321

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Furuya M, Horiguchi J, Nakajima H, Kanai Y, Oyama T. Correlation of L-type amino acid transporter 1 and CD98 expression with triple negative breast cancer prognosis. Cancer Sci. (2012) 103:382–9. doi: 10.1111/j.1349-7006.2011.02151.x

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Kaira K, Oriuchi N, Imai H, Shimizu K, Yanagitani N, Sunaga N, et al. Prognostic significance of L-type amino acid transporter 1 expression in resectable stage I-III nonsmall cell lung cancer. Br J Cancer. (2008) 98:742–8. doi: 10.1038/sj.bjc.6604235

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Isoda A, Kaira K, Iwashina M, Oriuchi N, Tominaga H, Nagamori S, et al. Expression of L-type amino acid transporter 1 (LAT1) as a prognostic and therapeutic indicator in multiple myeloma. Cancer Sci. (2014) 105:1496–502. doi: 10.1111/cas.12529

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Langstrom B, Antoni G, Gullberg P, Halldin C, Malmborg P, Nagren K, et al. Synthesis of L- and D-[methyl-11C]methionine. J Nucl Med. (1987) 28:1037–40.

Google Scholar

20. Bergstrom M, Lundqvist H, Ericson K, Lilja A, Johnstrom P, Langstrom B, et al. Comparison of the accumulation kinetics of L-(methyl-11C)-methionine and D-(methyl-11C)-methionine in brain tumors studied with positron emission tomography. Acta Radiol. (1987) 28:225–9. doi: 10.3109/02841858709177339

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Ishiwata K, Vaalburg W, Elsinga PH, Paans AM, Woldring MG. Comparison of L-[1-11C]methionine L-methyl-[11C]methionine for measuring in vivo protein synthesis rates with PET. J Nucl Med. (1988) 29:1419–27.

PubMed Abstract | Google Scholar

22. Jager PL, Vaalburg W, Pruim J, de Vries EG, Langen KJ et al. Radiolabeled amino acids: basic aspects and clinical applications in oncology. J Nucl Med. (2001) 42:432–45.

PubMed Abstract | Google Scholar

23. Lückerath K, Lapa C, Spahmann A, Jörg G, Samnick S, Rosenwald A, et al. Targeting paraprotein biosynthesis for non-invasive characterization of myeloma biology. PLoS ONE. (2013) 8:e84840. doi: 10.1371/journal.pone.0084840

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Lückerath K, Lapa C, Albert C, Herrmann K, Jörg G, Samnick S, et al. 11C-Methionine-PET: a novel and sensitive tool for monitoring of early response to treatment in multiple myeloma. Oncotarget. (2015) 6:8418–29. doi: 10.18632/oncotarget.3053

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Hammerton K, Cooper DA, Duckett M, Penny R. Biosynthesis of immunoglobulin in human immunoproliferative diseases. I. Kinetics of synthesis and secretion of immunoglobulin and protein by bone marrow cells in myeloma. J Immunol. (1978) 121:409–17.

PubMed Abstract | Google Scholar

26. Dankerl A, Liebisch P, Glatting G, Friesen C, Blumstein NM, Kocot D, et al. Multiple myeloma: molecular imaging with 11C-methionine PET/CT–initial experience. Radiology. (2007) 242:498–508. doi: 10.1148/radiol.2422051980

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Nakamoto Y, Kurihara K, Nishizawa M, Yamashita K, Nakatani K, Kondo T, et al. Clinical value of (1)(1)C-methionine PET/CT in patients with plasma cell malignancy: comparison with (1)(8)F-FDG PET/CT. Eur J Nucl Med Mol Imaging. (2013) 40:708–15. doi: 10.1007/s00259-012-2333-3

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Lapa C, Garcia-Velloso MJ, Lückerath K, Samnick S, Schreder M, Otero PR, et al. 11C-methionine-PET in multiple myeloma: a combined study from two different institutions. Theranostics. (2017) 7:2956–64. doi: 10.7150/thno.20491

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Lapa C, Knop S, Schreder M, Rudelius M, Knott M, Jörg G, et al. 11C-Methionine-PET in multiple myeloma: correlation with clinical parameters and bone marrow involvement. Theranostics. (2016) 6:254–61. doi: 10.7150/thno.13921

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Okasaki M, Kubota K, Minamimoto R, Miyata Y, Morooka M, Ito K, et al. Comparison of (11)C-4'-thiothymidine, (11)C-methionine, and (18)F-FDG PET/CT for the detection of active lesions of multiple myeloma. Ann Nucl Med. (2015) 29:224–32. doi: 10.1007/s12149-014-0931-9

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Zhou X, Dierks A, Kertels O, Kircher M, Schirbel A, Samnick S, et al. 18F-FDG, 11C-Methionine, and 68Ga-Pentixafor PET/CT in patients with smoldering multiple myeloma: imaging pattern and clinical features. Cancers (Basel). (2020) 12:2333. doi: 10.3390/cancers12082333

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Lapa C, Kircher M, Da Via M, Schreder M, Rasche L, Kortüm KM, et al. Comparison of 11C-Choline and 11C-Methionine PET/CT in Multiple Myeloma. Clin Nucl Med. (2019) 44:620–4. doi: 10.1097/RLU.0000000000002638

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Philipp-Abbrederis K, Herrmann K, Knop S, Schottelius M, Eiber M, Lückerath K, et al. In vivo molecular imaging of chemokine receptor CXCR4 expression in patients with advanced multiple myeloma. EMBO Mol Med. (2015) 7:477–87. doi: 10.15252/emmm.201404698

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Lapa C, Schreder M, Schirbel S, Samnick S, Kortüm KM, Herrmann K, et al. [(68)Ga]Pentixafor-PET/CT for imaging of chemokine receptor CXCR4 expression in multiple myeloma-Comparison to [(18)F]FDG and laboratory values. Theranostics. (2017) 7:205–12. doi: 10.7150/thno.16576

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Pan Q, Cao X, Luo Y, Li J, Feng J, Li F, et al. Chemokine receptor-4 targeted PET/CT with. Eur J Nucl Med Mol Imaging. (2020) 47:537–46. doi: 10.1111/j.1365-2141.1984.tb06116.x

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Heiss P, Mayer S, Herz M, Wester HJ, Schwaiger M, Senekowitsch-Schmidtke R. Investigation of transport mechanism and uptake kinetics of O-(2-[18F]fluoroethyl)-l-tyrosine in vitro and in vivo. J Nucl Med. (1999) 40:1367–73.

Google Scholar

37. Wester HJ, Herz M, Weber W, Heiss P, Senekowitsch-Schmidtke R, Schwaiger M, et al. Synthesis and radiopharmacology of O-(2-[18F]fluoroethyl)-l-tyrosine for tumor imaging. J Nucl Med. (1999) 40:205–12.

Google Scholar

38. Langen KJ, Jarosch M, Mühlensiepen H, Hamacher K, Bröer S, Jansen P, et al. Comparison of fluorotyrosines and methionine uptake in F98 rat gliomas. Nucl Med Biol. (2003) 30:501–8. doi: 10.1016/S0969-8051(03)00023-4

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Czyz J, Małkowski B, Jurczyszyn A, Grzaśko N, Łopatto R, Olejniczak M, et al. 18F-fluoro-ethyl-tyrosine (18F-FET) PET/CT as a potential new diagnostic tool in multiple myeloma: a preliminary study. Contemp Oncol (Pozn). (2019) 23:23–31. doi: 10.5114/wo.2019.83342

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Boccadoro M, Gavarotti P, Fossati G, Pileri A, Marmont F, Neretto G, et al. Low plasma cell 3(H) thymidine incorporation in monoclonal gammopathy of undetermined significance (MGUS), smouldering myeloma and remission phase myeloma: a reliable indicator of patients not requiring therapy. Br J Haematol. (1984) 58:689–96

PubMed Abstract | Google Scholar

41. Alexandrakis MG, Passam FH, Kyriakou DS, Dambaki K, Niniraki M, Stathopoulos E. Ki-67 proliferation index:correlation with prognostic parameters and outcome in multiple myeloma. Am J Clin Oncol. (2004) 27:8–13. doi: 10.1097/01.coc.0000045810.91816.41

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Gastinne T, Leleu X, Duhamel A, Moreau AS, Franck G, Andrieux J, et al. Plasma cell growth fraction using Ki-67 antigen expression identifies a subgroup of multiple myeloma patients displaying short survival within the ISS stage I. Eur J Haematol. (2007) 79:297–304. doi: 10.1111/j.1600-0609.2007.00915.x

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Shaughnessy J, Jacobson J, Sawyer J, McCoy J, Fassas A, Zhan F, et al. Continuous absence of metaphase- defined cytogenetic abnormalities, especially of chromosome 13 and hypodiploidy, ensures long-term survival in multiple myeloma treated with Total Therapy I: interpretation in the context of global gene expression. Blood. (2003) 101:3849–56. doi: 10.1182/blood-2002-09-2873

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Shields AF, Grierson JR, Dohmen BM, Machulla HJ, Stayanoff JC, Lawhorn-Crews JM, et al. Imaging proliferation in vivo with [F-18]FLT and positron emission tomography. Nat Med. (1998) 4:1334–6. doi: 10.1038/3337

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Lodge MA, Holdhoff M, Leal JP, Bag AK, Nabors LB, Mintz A, et al. Repeatability of 18F-FLT PET in a multicenter study of patients with high-grade glioma. J Nucl Med. (2017) 58:393–8. doi: 10.2967/jnumed.116.178434

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Agool A, Slart RH, Kluin PM, de Wolf JT, Dierckx RA, Vellenga E. F-18 FLT PET: a noninvasive diagnostic tool for visualization of the bone marrow compartment in patients with aplastic anemia: a pilot study. Clin Nucl Med. (2011) 36:286–9. doi: 10.1097/RLU.0b013e31820aa1a1

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Sachpekidis C, Goldschmidt H, Kopka K, Kopp-Schneider A, Dimitrakopoulou-Strauss A. Assessment of glucose metabolism and cellular proliferation in multiple myeloma: a first report on combined 18F-FDG and 18F-FLT PET/CT imaging. EJNMMI Res. (2018) 8:28. doi: 10.1186/s13550-018-0383-7

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Agool A, Schot BW, Jager PL, Vellenga E. 18F-FLT PET in hematologic disorders: a novel technique to analyze the bone marrow compartment. J Nucl Med. (2006) 47:1592-8.

PubMed Abstract | Google Scholar

49. Gallicchio R, Nardelli A, Calice G, Guarini A, Guglielmi G, Storto G. F-18 FDG PET/CT and F-18 FLT PET/CT as predictors of outcome in patients with multiple myeloma. A pilot study. Eur J Radiol. (2021) 136:109564. doi: 10.1016/j.ejrad.2021.109564

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Drewinko B, Alexanian R, Boyer H, Barlogie B, Rubinow SI. The growth fraction of human myeloma cells. Blood. (1981) 57:333–8. doi: 10.1182/blood.V57.2.333.333

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Rasche L, Bernard C, Topp MS, Kapp M, Duell J, Wesemeier C, et al. Features of extramedullary myeloma relapse: high proliferation, minimal marrow involvement, adverse cytogenetics: a retrospective single-center study of 24 cases. Ann Hematol. (2012) 91:1031–7. doi: 10.1007/s00277-012-1414-5

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Sheth N, Yeung J, Chang H. p53 nuclear accumulation is associated with extramedullary progression of multiple myeloma. Leuk Res. (2009) 33:1357–60. doi: 10.1016/j.leukres.2009.01.010

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Toyohara J, Kumata K, Fukushi K, Irie T, Suzuki K. Evaluation of [methyl-14C] 4-thiothymidine for in vivo DNA synthesis imaging. J Nucl Med. (2006) 47:1717–22.

PubMed Abstract | Google Scholar

54. Toyohara J, Okada M, Toramatsu C, Suzuki K, Irie T. Feasibility studies of 4-[methyl-11C]thiothymidine as a tumor proliferation imaging agent in mice Nucl Med Biol. (2008) 35:67–74. doi: 10.1097/RLU.0000000000000773

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Toyohara J, Nariai T, Sakata M, Oda K, Ishii K, Kawabe T, et al. Whole-body distribution and brain tumor imaging with 11C-4DST: a pilot study. J Nucl Med. (2011) 52:1322–8. doi: 10.2967/jnumed.111.088435

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Toyohara J. Evaluation of DNA synthesis with carbon-11-labeled 4'-thiothymidine. World J Radiol. (2016) 8:799–808. doi: 10.4329/wjr.v8.i9.799

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Minamimoto R, Toyohara J, Seike A, Ito H, Endo H, Morooka M, et al. 11C-4DST PET/CT for proliferation imaging in non-small-cell lung cancer. J Nucl Med. (2012) 53:199–206. doi: 10.2967/jnumed.111.095539

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Minamimoto R, Nakaigawa N, Nagashima Y, Nakajima K, Yao M, Kubota K. Comparison of 11C-4DST and 18F-FDG PET/CT imaging for advanced renal cell carcinoma: preliminary study. Abdom Radiol (NY). (2016) 41:521–30. doi: 10.1007/s00261-015-0601-y

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Minamimoto R, Toyohara J, Okasaki M, Morooka M, Miyata Y, Kameyama M, et al. Prospective comparison of 11C-4DST, 18F-FDG PET/CT and whole-body MRI in the patients with multiple myeloma. J Nucl Med. (2016) 57(Suppl. 2):1610.

Google Scholar

60. Minamimoto M, Hotta M, Okasaki M, Hirai R, Miwa A. Potential of bone marrow uptake of 4DST for the assessment of multiple myeloma. J Nucl Med. (2019) 60 (Suppl. 1):1244.

Google Scholar

61. Sachpekidis C, Mai EK, Goldschmidt H, Hillengass J, Hose D, Pan L, et al. 18F-FDG dynamic PET/CT in patients with multiple myeloma. Patterns of tracer uptake and correlation with bone marrow plasma cell infiltration rate. Clin Nucl Med. (2015) 40:300–7.

PubMed Abstract | Google Scholar

62. Durie BG. The role of anatomic and functional staging in myeloma: description of Durie/Salmon plus staging system. Eur J Cancer. (2006) 42:1539–43. doi: 10.1016/j.ejca.2005.11.037

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Paschali A, Panagiotidis E, Triantafyllou T, Palaska V, Tsirou K, Verrou E, et al. A proposed index of diffuse bone marrow [18F]-FDG uptake and PET skeletal patterns correlate with myeloma prognostic markers, plasma cell morphology, and response to therapy. Eur J Nucl Med Mol Imaging. (2021) 48:1487–97. doi: 10.1007/s00259-020-05078-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: multiple myeloma, 11C-4DST, 18F-FET, 18F-FLT, FDG, 11C-MET

Citation: Minamimoto R (2022) Amino Acid and Proliferation PET/CT for the Diagnosis of Multiple Myeloma. Front. Nucl. Med. 1:796357. doi: 10.3389/fnume.2021.796357

Received: 16 October 2021; Accepted: 22 November 2021;
Published: 06 January 2022.

Edited by:

Constantin Lapa, University of Augsburg, Germany

Reviewed by:

Sandip Basu, Homi Bhabha National Institute, India
Elif Hindie, Université de Bordeaux, France

Copyright © 2022 Minamimoto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ryogo Minamimoto, cnlvZ29taW5hbWltb3RvJiN4MDAwNDA7eWFob28uY28uanA=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.