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Yoshikawa T, Endo K, Moriyama-Kita M, Ueno T, Nakanishi Y, Dochi H, Uno D, Kondo S, Yoshizaki T. Association of 18F- fluorodeoxyglucose uptake with the expression of metabolism-related molecules in papillary thyroid cancer. Auris Nasus Larynx 2024; 51:696-702. [PMID: 38733874 DOI: 10.1016/j.anl.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/28/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024]
Abstract
OBJECTIVES 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG-PET/CT) is a diagnostic imaging method that is based on the Warburg effect, which is the increased uptake of glucose through aerobic glycolysis in cancer cells. The diagnostic value of 18F-FDG-PET/CT for thyroid cancer is controversial. However, uptake of 18F-FDG and the corresponding maximum standardized uptake value (SUVmax) is expected to reflect the metabolic status of cancer cells. In the present study, we sought to determine the relationship between 18F-FDG uptake and tumor metabolism- associated factors. METHODS This was a single-center retrospective study. In the present study, SUVmax was compared with the expression of hexokinase 2 (HK2), glucose transporter 1 (GLUT1), vascular endothelial growth factor (VEGF), and glutaminase 1 (GLS1) in 41 patients with thyroid cancer. RESULTS GLS1 expression was found to be moderately correlated with SUVmax (p < 0.001, r = 0.51), whereas HK2 and VEGF expression were weakly correlated (p = 0.011, r = 0.28, p = 0.008, r = 0.29, respectively) and GLUT1 did not correlate with SUVmax (p = 0.62, r = 0.06). CONCLUSION Our findings suggest 18F-FDG PET/CT reflects GLS1 expression in thyroid cancer and could be used to select suitable candidates for GLS1 inhibitor treatment.
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Affiliation(s)
- Tomomi Yoshikawa
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan.
| | - Kazuhira Endo
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
| | - Makiko Moriyama-Kita
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
| | - Takayoshi Ueno
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
| | - Yosuke Nakanishi
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
| | - Hirotomo Dochi
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
| | - Daisuke Uno
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
| | - Satoru Kondo
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
| | - Tomokazu Yoshizaki
- Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medical Science, Kanazawa University, Kanazawa, Ishikawa, 920-8640, Japan
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Sun D, Zhang X, Sun Y, Mu Z, Wang H, Zhang Y, Liang J, Lin Y. Early Structural, Biochemical, and Metabolic Responses to Anlotinib in Patients With Progressive Radioactive Iodine Refractory Differentiated Thyroid Cancer. Endocr Pract 2024; 30:456-464. [PMID: 38447630 DOI: 10.1016/j.eprac.2024.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 02/22/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE We aimed to assess the early efficacy of anlotinib in patients with progressive radioactive iodine refractory differentiated thyroid cancer at the structural, biochemical, and metabolic levels. METHODS Ten eligible patients were prospectively enrolled to receive anlotinib. Their responses were assessed at 6 weeks. Apart from the structural response according to Response Evaluation Criteria in Solid Tumors version 1.1, the biochemical response was assessed by serum thyroglobulin (Tg), and the metabolic response was assessed by 2-deoxy-2-[18F] fluoro-D-glucose positron emission tomography/computed tomography (18F-FDG PET/CT) according to the European Organization for Research and Treatment of Cancer criteria. A safety profile was recorded. RESULTS Structurally controlled disease (20% partial response + 80% stable disease) was observed in all patients. The median longest diameter of target lesions shrank from 20.8 mm (IQR, 14.9-27.5) to 17.0 mm (IQR, 14.1-23.7) (P < .001), and the average shrinkage rate was -15.1 ± 14.1%. Sharp serum Tg reduction by 72.8 ± 16.4% was observed in 8 measurable patients. The 18F-FDG PET/CT-mapped glucose metabolic response was not quite comparable to the structural response, with 90% of the patients having controlled disease (30% partial metabolic response + 60% stable metabolic disease), whereas 10% presented progressive metabolic disease. The most common treatment-emergent adverse events (AEs) were hypertension (100%) and proteinuria (70%). Most AEs were grade 1 or 2, whereas grade 3 AEs occurred only in hypertension. CONCLUSION Anlotinib is generally well tolerated and can bring early disease control within the initial 6 weeks of treatment. The sharp biochemical response suggests Tg to be an early sensitive biomarker to anlotinib, whereas the heterogeneous metabolic response might play a complementary role.
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Affiliation(s)
- Di Sun
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences & PUMC, Beijing 100730, China; Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing 100730, China
| | - Xin Zhang
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences & PUMC, Beijing 100730, China; Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing 100730, China
| | - Yuqing Sun
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences & PUMC, Beijing 100730, China; Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing 100730, China
| | - Zhuanzhuan Mu
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences & PUMC, Beijing 100730, China; Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing 100730, China
| | - Hao Wang
- Department of Oncology, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao 266012, China
| | - Yingqiang Zhang
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences & PUMC, Beijing 100730, China; Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing 100730, China
| | - Jun Liang
- Department of Oncology, Peking University International Hospital, Peking University, Beijing 102206, China; Department of Medical Oncology, Key Laboratory of Carcinogenesis & Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing 100142, China.
| | - Yansong Lin
- Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences & PUMC, Beijing 100730, China; Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Beijing 100730, China.
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Chandekar KR, Satapathy S, Bal C. Positron Emission Tomography/Computed Tomography in Thyroid Cancer: An Updated Review. PET Clin 2024; 19:131-145. [PMID: 38212213 DOI: 10.1016/j.cpet.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
PET/computed tomography (CT) is a valuable hybrid imaging modality for the evaluation of thyroid cancer, potentially impacting management decisions. 18F-fluorodeoxyglucose (FDG) PET/CT has proven utility for recurrence evaluation in differentiated thyroid cancer (DTC) patients having thyroglobulin elevation with negative iodine scintigraphy. Aggressive histologic subtypes such as anaplastic thyroid cancer shower higher FDG uptake. 18F-FDOPA is the preferred PET tracer for medullary thyroid cancer. Fibroblast activation protein inhibitor and arginylglycylaspartic acid -based radiotracers have emerged as promising PET agents for radioiodine refractory DTC patients with the potential for theranostic application.
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Wang D, Yang Y, He Y, Yang H, Yang L. Natural History and Prognostic Model of Untreated Papillary Thyroid Cancer: A SEER Database Analysis. Cancer Control 2024; 31:10732748241253956. [PMID: 38756002 PMCID: PMC11102674 DOI: 10.1177/10732748241253956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 03/27/2024] [Accepted: 04/24/2024] [Indexed: 05/18/2024] Open
Abstract
PURPOSE This investigation leveraged the SEER database to delve into the progression patterns of PTC when left untreated. Furthermore, it aimed to devise and authenticate a nomogram for prognosis prediction for such patients. METHODS We extracted data from the SEER database, focusing on PTC-diagnosed individuals from 2004-2020. To discern disease progression intervals, median survival times across stages were gauged, and the disease progression time was estimated by subtracting the median survival time of a more severe stage from its preceding stage. Prognostic determinants in the training set were pinpointed using both univariate and multivariate Cox regression. Using these determinants, a prognostic nomogram was crafted. RESULTS In untreated PTC patients, those in stages I and II had a favorable prognosis, with 10-year overall survival rates of 86.34% and 66.03%, respectively. Patients in stages III and IV had a relatively poorer prognosis. The median survival time of stage III, stage IVA, stage IVB and stage IVC patients was 108months, 43 months, 20 months and 8 months, respectively. The deduced progression intervals from stages III-IVC were 65, 23, and 12 months. In the training set, age, tumor stage, gender, and marital status were identified as independent risk factors influencing the prognosis of untreated PTC, and a nomogram was constructed using these variables. CONCLUSION In the absence of treatment intervention, early-stage PTC progressed slowly with an overall favorable prognosis. However, in mid to advanced-stage PTC, as tumor stage increased, disease progression accelerated, and prognosis gradually worsened. Age, tumor stage, marital status, and gender were independent risk factors influencing the prognosis of untreated PTC, and the nomogram based on these factors demonstrated good prognostic capability.
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Affiliation(s)
- Dasong Wang
- Department of Breast and Thyroid Surgery, Suining Central Hospital, Suining, China
| | - Yan Yang
- Department of Breast and Thyroid Surgery, Suining Central Hospital, Suining, China
| | - Yu He
- Department of Breast and Thyroid Surgery, Suining Central Hospital, Suining, China
| | - Hongwei Yang
- Department of Breast and Thyroid Surgery, Suining Central Hospital, Suining, China
| | - Lei Yang
- Department of Breast and Thyroid Surgery, Suining Central Hospital, Suining, China
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Ghezzi C, Perez S, Ryan K, Wong A, Chen BY, Damoiseaux R, Clark PM. Early Reduction of Glucose Consumption Is a Biomarker of Kinase Inhibitor Efficacy Which Can Be Reversed with GLUT1 Overexpression in Lung Cancer Cells. Mol Imaging Biol 2023; 25:541-553. [PMID: 36284040 PMCID: PMC10732700 DOI: 10.1007/s11307-022-01782-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/06/2022] [Accepted: 10/13/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Small molecule inhibitors that target oncogenic driver kinases are an important class of therapies for non-small cell lung cancer (NSCLC) and other malignancies. However, these therapies are not without their challenges. Each inhibitor works on only a subset of patients, the pharmacokinetics of these inhibitors is variable, and these inhibitors are associated with significant side effects. Many of these inhibitors lack non-invasive biomarkers to confirm pharmacodynamic efficacy, and our understanding of how these inhibitors block cancer cell growth remains incomplete. Limited clinical studies suggest that early (< 2 weeks after start of therapy) changes in tumor glucose consumption, measured by [18F]FDG PET imaging, can predict therapeutic efficacy, but the scope of this strategy and functional relevance of this inhibition of glucose consumption remains understudied. Here we demonstrate that early inhibition of glucose consumption as can be measured clinically with [18F]FDG PET is a consistent phenotype of efficacious targeted kinase inhibitors and is necessary for the subsequent inhibition of growth across models of NSCLC. METHODS We tested nine NSCLC cell lines (A549, H1129, H1734, H1993, H2228, H3122, H460, HCC827, and PC9 cells) and ten targeted therapies (afatinib, buparlisib, ceritinib, cabozantinib, crizotinib, dovitinib, erlotinib, ponatinib, trametinib, and vemurafenib) across concentrations ranging from 1.6 nM to 5 µM to evaluate whether these inhibitors block glucose consumption at 24-h post-drug treatment and cell growth at 72-h post-drug treatment. We overexpressed the facilitative glucose transporter SLC2A1 (GLUT1) to test the functional connection between blocked glucose consumption and cell growth after treatment with a kinase inhibitor. A subset of these inhibitors and cell lines were studied in vivo. RESULTS Across the nine NSCLC cell lines, ten targeted therapies, and a range of inhibitor concentrations, whether a kinase inhibitor blocked glucose consumption at 24-h post-drug treatment strongly correlated with whether that inhibitor blocked cell growth at 72-h post-drug treatment in cell culture. These results were confirmed in vivo with [18F]FDG PET imaging. GLUT1 overexpression blocked the kinase inhibitors from limiting glucose consumption and cell growth. CONCLUSIONS Our results demonstrate that the early inhibition of lung cancer glucose consumption in response to a kinase inhibitor is a strong biomarker of and is often required for the subsequent inhibition of cell growth. Early inhibition of glucose consumption may provide complementary information to other biomarkers in determining whether a drug will effectively limit tumor growth.
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Affiliation(s)
- Chiara Ghezzi
- Crump Institute for Molecular Imaging, University of California, Los Angeles, Box 951770, Los Angeles, CA, 90095-1770, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Stefani Perez
- Crump Institute for Molecular Imaging, University of California, Los Angeles, Box 951770, Los Angeles, CA, 90095-1770, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kaitlin Ryan
- Crump Institute for Molecular Imaging, University of California, Los Angeles, Box 951770, Los Angeles, CA, 90095-1770, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alicia Wong
- Crump Institute for Molecular Imaging, University of California, Los Angeles, Box 951770, Los Angeles, CA, 90095-1770, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Bao Ying Chen
- Crump Institute for Molecular Imaging, University of California, Los Angeles, Box 951770, Los Angeles, CA, 90095-1770, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Robert Damoiseaux
- Crump Institute for Molecular Imaging, University of California, Los Angeles, Box 951770, Los Angeles, CA, 90095-1770, USA
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Peter M Clark
- Crump Institute for Molecular Imaging, University of California, Los Angeles, Box 951770, Los Angeles, CA, 90095-1770, USA.
- Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA, USA.
- Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA.
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Xia M, Wang S, Ye Y, Tu Y, Huang T, Gao L. Effect of the m6ARNA gene on the prognosis of thyroid cancer, immune infiltration, and promising immunotherapy. Front Immunol 2022; 13:995645. [PMID: 36389678 PMCID: PMC9664221 DOI: 10.3389/fimmu.2022.995645] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Accepted: 10/17/2022] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND Accumulating evidence suggests that N6-methyladenosine (m6A) RNA methylation plays an important role in tumor proliferation and growth. However, its effect on the clinical prognosis, immune infiltration, and immunotherapy response of thyroid cancer patients has not been investigated in detail. METHODS Clinical data and RNA expression profiles of thyroid cancer were extracted from the Cancer Genome Atlas-thyroid carcinoma (TCGA-THCA) and preprocessed for consensus clustering. The risk model was constructed based on differentially expressed genes (DEGs) using Least Absolute Shrinkage and Selection Operator (LASSO) and Cox regression analyses. The associations between risk score and clinical traits, immune infiltration, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), immune infiltration, and immunotherapy were assessed. Immunohistochemistry was used to substantiate the clinical traits of our samples. RESULTS Gene expression analysis showed that 17 genes, except YHTDF2, had significant differences (vs healthy control, P<0.001). Consensus clustering yielded 2 clusters according to their clinical features and estimated a poorer prognosis for Cluster 1 (P=0.03). The heatmap between the 2 clusters showed differences in T (P<0.01), N (P<0.001) and stage (P<0.01). Based on univariate Cox and LASSO regression, a risk model consisting of three high-risk genes (KIAA1429, RBM15, FTO) was established, and the expression difference between normal and tumor tissues of three genes was confirmed by immunohistochemical results of our clinical tissues. KEGG and GSEA analyses showed that the risk DEGs were related mainly to proteolysis, immune response, and cancer pathways. The levels of immune infiltration in the high- and low-risk groups were different mainly in iDCs (P<0.05), NK cells (P<0.05), and type-INF-II (P<0.001). Immunotherapy analysis yielded 30 drugs associated with the expression of each gene and 20 drugs associated with the risk score. CONCLUSIONS Our risk model can act as an independent marker for thyroid cancer and provides promising immunotherapy targets for its treatment.
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Affiliation(s)
- Minqi Xia
- Department of Endocrinology and Metabolism, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shuo Wang
- Department of Endocrinology and Metabolism, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yingchun Ye
- Department of Endocrinology and Metabolism, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yi Tu
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Tiantian Huang
- Department of Endocrinology and Metabolism, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ling Gao
- Department of Endocrinology and Metabolism, Renmin Hospital of Wuhan University, Wuhan, China
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Abstract
PURPOSE OF REVIEW Thyroid cancers are endocrine neoplasms with diverse gene expression and behavior, for which constantly evolving anatomic and functional imaging/theranostic agents have an essential role for diagnosis, staging, and treatment. RECENT FINDINGS To achieve definitive diagnosis, neck ultrasound and associated risk stratification systems, notably Thyroid Imaging Reporting and Data System (TI-RADS), allow improved thyroid nodule characterization and management guidance. Radioactive iodine-131 (RAI) has long played a role in management of differentiated thyroid cancer (DTC), with recent literature emphasizing its effectiveness for intermediate-high risk cancers, exploring use of dosimetry for personalized medicine, and potential for retreatment with RAI following tumor redifferentiation. Iodine-124 positron emission tomography/computed tomography (PET/CT) has promising application for DTC staging and dosimetry. F18-fluorodeoxyglucose (FDG) PET/CT is used for staging of high risk DTC and identification of noniodine-avid disease recurrences, with metabolic uptake consistently portending poor prognosis. Poorly differentiated and anaplastic thyroid cancers are best assessed with anatomic imaging and F18-FDG PET/ CT, though recent studies show a potential theranostic role for Ga68/Lu177-prostate-specific membrane antigen. Medullary thyroid cancers are evaluated with ultrasound, CT, magnetic resonance imaging, and various positron-emitting radiotracers for PET imaging (F18-DOPA, F18-FDG, and recently Ga68-1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA)-octreotate (DOTATATE)); the latter may enable treatment with Lu177-DOTATATE. SUMMARY Multidisciplinary collaboration is essential to streamline appropriate management, given the wide array of available imaging and new therapies for metabolic and genetically complex cancers.
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Affiliation(s)
- Molly E. Roseland
- Division of Nuclear Medicine, Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Division of Body Imaging, Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Yuni K. Dewaraja
- Division of Nuclear Medicine, Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Ka Kit Wong
- Division of Nuclear Medicine, Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
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Rendl G, Schweighofer-Zwink G, Sorko S, Gallowitsch HJ, Hitzl W, Reisinger D, Pirich C. Assessment of Treatment Response to Lenvatinib in Thyroid Cancer Monitored by F-18 FDG PET/CT Using PERCIST 1.0, Modified PERCIST and EORTC Criteria-Which One Is Most Suitable? Cancers (Basel) 2022; 14:cancers14081868. [PMID: 35454777 PMCID: PMC9029268 DOI: 10.3390/cancers14081868] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/29/2022] [Accepted: 04/04/2022] [Indexed: 12/10/2022] Open
Abstract
Background: We aimed to compare the established metabolic response criteria PERCIST and EORTC for their applicability and predictive value in terms of clinical response assessment early after the initiation of lenvatinib therapy in patients with metastatic radioiodine-refractory (RAI) thyroid cancer (TC). Methods: In 25 patients treated with lenvatinib, baseline and 4-month follow-up F-18 FDG PET/CT images were analyzed using PERCIST 1.0, modified PERCIST (using SUVpeak or SUVmax) and EORTC criteria. Two groups were defined: disease control (DC) and progressive disease (PD), which were correlated with PFS and OS. Results: PERCIST, mPERCIST, PERCISTmax and EORTC could be applied in 80%, 80%, 88% and 100% of the patients based on the requirements of lesion assessment criteria, respectively. With PERCIST, mPERCIST, PERCISTmax and EORTC, the patients classified as DC and PD ranged from 65 to 68% and from 32 to 35%, respectively. Patients with DC exhibited a longer median PFS than patients with PD for EORTC (p < 0.014) and for PERCIST and mPERCIST (p = 0.037), respectively. Conclusion: EORTC and the different PERCIST criteria performed equally regarding the identification of patients with PD requiring treatment changes. However, the applicability of PERCIST 1.0 using SULpeak seems restricted due to the significant proportion of small tumor lesions.
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Affiliation(s)
- Gundula Rendl
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Müllner Hauptstr. 48, 5020 Salzburg, Austria; (G.S.-Z.); (D.R.); (C.P.)
- Correspondence: ; Tel.: +43-5-7255-58994
| | - Gregor Schweighofer-Zwink
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Müllner Hauptstr. 48, 5020 Salzburg, Austria; (G.S.-Z.); (D.R.); (C.P.)
| | - Stefan Sorko
- Department of Nuclear Medicine and Endocrinology, PET/CT Centre, Klinikum Klagenfurt am Wörthersee, 9020 Klagenfurt, Austria; (S.S.); (H.-J.G.)
| | - Hans-Jürgen Gallowitsch
- Department of Nuclear Medicine and Endocrinology, PET/CT Centre, Klinikum Klagenfurt am Wörthersee, 9020 Klagenfurt, Austria; (S.S.); (H.-J.G.)
| | - Wolfgang Hitzl
- Research and Innovation Management, Biostatistics and Publication of Clinical Trial Studies, Paracelsus Medical University Salzburg, 5020 Salzburg, Austria;
- Department of Ophthalmology and Optometry, University Hospital Salzburg, Paracelsus Medical University Salzburg, 5020 Salzburg, Austria
- Research Program Experimental Ophthalmology and Glaucoma Research, University Hospital Salzburg, Paracelsus Medical University Salzburg, 5020 Salzburg, Austria
| | - Diana Reisinger
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Müllner Hauptstr. 48, 5020 Salzburg, Austria; (G.S.-Z.); (D.R.); (C.P.)
| | - Christian Pirich
- Department of Nuclear Medicine and Endocrinology, University Hospital Salzburg, Paracelsus Medical University Salzburg, Müllner Hauptstr. 48, 5020 Salzburg, Austria; (G.S.-Z.); (D.R.); (C.P.)
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2-[18F]FDG PET in the Management of Radioiodine Refractory Differentiated Thyroid Cancer in the Era of Thyrosin-Kinases Inhibitors: A Real-Life Retrospective Study. Diagnostics (Basel) 2022; 12:diagnostics12020506. [PMID: 35204596 PMCID: PMC8870858 DOI: 10.3390/diagnostics12020506] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/02/2022] [Accepted: 02/09/2022] [Indexed: 02/05/2023] Open
Abstract
Purpose To evaluate the role of 2-[18F]FDGPET/CT in the follow-up of radioiodine refractory thyroid cancer (RR-TC). Methods Forty-six 2-[18F]FDGPET/CT scans from 14 RR-TC patients were considered. Thyroid function tests: thyroglobulin (Tg), levothyroxine (LT4), and tyrosine-kinases inhibitors (TKIs) assumptions were recorded. Metabolic tumour volume (MTV) and total lesion glycolysis (TLG) were calculated from each scan and correlated with clinical parameters and the overall survival (OS). Results Baseline TLG and MTV predicted OS (p = 0.027 and p = 0.035), and negative correlation with OS was also confirmed when the same parameters were measured in follow-up scans (p = 0.015 and p = 0.021). Tg also correlated with the OS; (p = 0.014; p = 0.019 and p = 0.009). However, TLG and MTV were not significantly correlated with Tg levels. MTV and TLG variation in time were reduced during TKI therapy (p = 0.045 and p = 0.013). Conclusions 2-[18F]FDGPET/CT confirmed its prognostic role at the first assessment and during the follow-up of RR-TC patients. 2-[18F]FDGPET/CT parameters seem at least partially independent from Tg. TKI therapy resulted in a measurable effect on the variation of 2-[18F]FDGPET/CT parameters over time.
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Marschner SN, Lombardo E, Minibek L, Holzgreve A, Kaiser L, Albert NL, Kurz C, Riboldi M, Späth R, Baumeister P, Niyazi M, Belka C, Corradini S, Landry G, Walter F. Risk Stratification Using 18F-FDG PET/CT and Artificial Neural Networks in Head and Neck Cancer Patients Undergoing Radiotherapy. Diagnostics (Basel) 2021; 11:diagnostics11091581. [PMID: 34573924 PMCID: PMC8468242 DOI: 10.3390/diagnostics11091581] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/27/2021] [Accepted: 08/28/2021] [Indexed: 12/24/2022] Open
Abstract
This study retrospectively analyzed the performance of artificial neural networks (ANN) to predict overall survival (OS) or locoregional failure (LRF) in HNSCC patients undergoing radiotherapy, based on 2-[18F]FDG PET/CT and clinical covariates. We compared predictions relying on three different sets of features, extracted from 230 patients. Specifically, (i) an automated feature selection method independent of expert rating was compared with (ii) clinical variables with proven influence on OS or LRF and (iii) clinical data plus expert-selected SUV metrics. The three sets were given as input to an artificial neural network for outcome prediction, evaluated by Harrell’s concordance index (HCI) and by testing stratification capability. For OS and LRF, the best performance was achieved with expert-based PET-features (0.71 HCI) and clinical variables (0.70 HCI), respectively. For OS stratification, all three feature sets were significant, whereas for LRF only expert-based PET-features successfully classified low vs. high-risk patients. Based on 2-[18F]FDG PET/CT features, stratification into risk groups using ANN for OS and LRF is possible. Differences in the results for different feature sets confirm the relevance of feature selection, and the key importance of expert knowledge vs. automated selection.
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Affiliation(s)
- Sebastian N. Marschner
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
- Correspondence:
| | - Elia Lombardo
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching, Germany; (E.L.); (C.K.); (M.R.); (G.L.)
| | - Lena Minibek
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
| | - Adrien Holzgreve
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany; (A.H.); (L.K.); (N.L.A.)
| | - Lena Kaiser
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany; (A.H.); (L.K.); (N.L.A.)
| | - Nathalie L. Albert
- Department of Nuclear Medicine, University Hospital, LMU Munich, 81377 Munich, Germany; (A.H.); (L.K.); (N.L.A.)
| | - Christopher Kurz
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching, Germany; (E.L.); (C.K.); (M.R.); (G.L.)
| | - Marco Riboldi
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching, Germany; (E.L.); (C.K.); (M.R.); (G.L.)
| | - Richard Späth
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
| | - Philipp Baumeister
- Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, LMU Munich, 81377 Munich, Germany;
| | - Maximilian Niyazi
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
- German Cancer Consortium (DKTK), Partner Site Munich, 81377 Munich, Germany
| | - Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
| | - Guillaume Landry
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching, Germany; (E.L.); (C.K.); (M.R.); (G.L.)
| | - Franziska Walter
- Department of Radiation Oncology, University Hospital, LMU Munich, 81377 Munich, Germany; (L.M.); (R.S.); (M.N.); (C.B.); (S.C.); (F.W.)
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Early Predictive Response to Multi-Tyrosine Kinase Inhibitors in Advanced Refractory Radioactive-Iodine Differentiated Thyroid Cancer: A New Challenge for [ 18F]FDG PET/CT. Diagnostics (Basel) 2021; 11:diagnostics11081417. [PMID: 34441351 PMCID: PMC8392185 DOI: 10.3390/diagnostics11081417] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/02/2021] [Accepted: 08/03/2021] [Indexed: 11/22/2022] Open
Abstract
Differentiated thyroid cancer (DTC) represents the most common thyroid cancer histotype. Generally, it exhibits a good prognosis after conventional treatments; nevertheless, about 20% of patients can develop a local recurrence and/or distant metastasis. In one-third of advanced DTC, the metastatic lesions lose the ability to take up iodine and become radioactive iodine-refractory (RAI-R) DTC. In this set of patients, the possibility to perform localized treatments should always be taken into consideration before the initiation of systemic therapy. In the last decade, some multi-tyrosine kinase inhibitor (MKI) drugs were approved for advanced DTC, impacting on patient’s survival rate, but at the same time, these therapies have been associated with several adverse events. In this clinical context, the role of 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography ([18F]FDG PET/CT) in the early treatment response to these innovative therapies was investigated, in order to assess the potentiality of this diagnostic tool in the early recognition of non-responders, avoiding unnecessary therapy. Herein, we aimed to present a critical overview about the reliability of [18F]FDG PET/CT in the early predictive response to MKIs in advanced differentiated thyroid cancer.
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Predictors of Response and Survival to Multikinase Inhibitors in Radioiodine Resistant Differentiated Thyroid Cancer. J Pers Med 2021; 11:jpm11070674. [PMID: 34357141 PMCID: PMC8306329 DOI: 10.3390/jpm11070674] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 07/13/2021] [Accepted: 07/15/2021] [Indexed: 12/16/2022] Open
Abstract
Sorafenib and lenvatinib are the only multikinase inhibitors (MKIs) approved for the treatment of radioactive iodine refractory differentiated thyroid cancer (RR-DTC). Although they have been demonstrated to improve progression free survival and overall response rate, the risk of toxicities is very high, worsening patients’ quality of life. Therefore, predicting MKI treatment outcomes in the setting of RR-DTC is very challenging for optimizing patients’ management. The current review provides an overview of the predictive factors for the response and survival of sorafenib and lenvatinib in RR-DTC. In this setting, a systemic therapy should be considered after conducting a multidisciplinary discussion aimed at evaluating the risk-benefit ratio of the treatment and taking into account several clinical, biochemical, and molecular factors. Age, performance status, and cancer-related symptoms are the most important clinical markers to be considered prior to starting MKI treatment, together with tumor burden. Some tissue and circulating biomarkers have been investigated, those involved in the angiogenic pathways being the most promising. Finally, prospective clinical trials aimed at evaluating predictive markers for therapeutic response are needed for tailoring patient management and allowing more appropriate treatment choices.
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Besic N, Vidergar-Kralj B, Zaletel K, Grasic-Kuhar C. Graves disease and metastatic hormonal-active Hürthle cell thyroid cancer: A case report. Medicine (Baltimore) 2021; 100:e26384. [PMID: 34160415 PMCID: PMC8238273 DOI: 10.1097/md.0000000000026384] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 06/02/2021] [Indexed: 01/04/2023] Open
Abstract
RATIONALE A hormone-active metastatic Hürthle cell thyroid carcinoma (HCTC) and Graves disease (GD) present a therapeutic challenge and is rarely reported. PATIENT CONCERNS We present a 64-year-old male patient, who had dyspnea and left hip pain lasting 4 months. He had clinical signs of hyperthyroidism and a tumor measuring 9 cm in diameter of the left thyroid lobe, metastatic neck lymph node and metastases in the lungs, mediastinum, and bones. DIAGNOSIS Laboratory findings confirmed hyperthyroidism and GD. Fine-needle aspiration biopsy and cytological investigation revealed metastases of HCTC in the skull and in the 8th right rib. A CT examination showed a thyroid tumor, metastatic neck lymph node, metastases in the lungs, mediastinum and in the 8th right rib measuring 20 × 5.6 × 4.5 cm, in the left acetabulum measuring 9 × 9 × 3 cm and parietooccipitally in the skull measuring 5 × 4 × 2 cm. Histology after total thyroidectomy and resection of the 8th right rib confirmed metastatic HCTC. INTERVENTIONS The region of the left hip had been irradiated with concomitant doxorubicin 20 mg once weekly. When hyperthyroidism was controlled with thiamazole, a total thyroidectomy was performed. Persistent T3 hyperthyroidism, most likely caused by TSH-R-stimulated T3 production in large metastasis in the 8th right rib, was eliminated by rib resection. Thereafter, the patient was treated with 3 radioactive iodine-131 (RAI) therapies (cumulative dose of 515 mCi). Unfortunately, the tumor rapidly progressed after treatment with RAI and progressed 10 months after therapy with sorafenib. OUTCOMES Despite treatment, the disease rapidly progressed and patient died due to distant metastases. He survived for 28 months from diagnosis. LESSONS Simultaneous hormone-active HCTC and GD is extremely rare and prognosis is dismal. Concomitant external beam radiotherapy and doxorubicin chemotherapy, followed by RAI therapy, prevented the growth of a large metastasis in the left hip in our patient. However, a large metastasis in the 8th right rib presented an unresolved problem. Treatment with rib resection and RAI did not prevent tumor recurrence. External beam radiotherapy and sorafenib treatment failed to prevent tumor growth.
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Affiliation(s)
- Nikola Besic
- Department of Surgical Oncology, Institute of Oncology Ljubljana
- Faculty of Medicine Ljubljana
| | | | - Katja Zaletel
- Faculty of Medicine Ljubljana
- Department of Nuclear Medicine, University Clinical Center Ljubljana
| | - Cvetka Grasic-Kuhar
- Faculty of Medicine Ljubljana
- Department of Medical Oncology, Institute of Oncology Ljubljana, Zaloška 2, Ljubljana, Slovenia
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