Exploratory Analysis to Predict Optimal Tumor Burden for Starting Lenvatinib in Patients With Radioiodine-Refractory Differentiated Thyroid Cancer
We previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory differentiated thyroid cancer (RR-DTC) who were treated with lenvatinib. However, the optimal tumor burden for starting lenvatinib still remains to be defined...
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Published in | Frontiers in oncology Vol. 11; p. 638123 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Frontiers Media S.A
08.07.2021
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ISSN | 2234-943X 2234-943X |
DOI | 10.3389/fonc.2021.638123 |
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Abstract | We previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory differentiated thyroid cancer (RR-DTC) who were treated with lenvatinib. However, the optimal tumor burden for starting lenvatinib still remains to be defined. The aim of this retrospective study was to further explore in the same patient cohort the optimal timing for the start of lenvatinib by focusing on the pre- and post-treatment tumor burden.BACKGROUNDWe previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory differentiated thyroid cancer (RR-DTC) who were treated with lenvatinib. However, the optimal tumor burden for starting lenvatinib still remains to be defined. The aim of this retrospective study was to further explore in the same patient cohort the optimal timing for the start of lenvatinib by focusing on the pre- and post-treatment tumor burden.The 26 patients were treated with lenvatinib from 2012 to 2017. We explored the optimal timing for the start of lenvatinib by comparing the characteristics of long-term responders who were defined as patients with progression-free survival ≥ 30 months and non-long-term responders.METHODSThe 26 patients were treated with lenvatinib from 2012 to 2017. We explored the optimal timing for the start of lenvatinib by comparing the characteristics of long-term responders who were defined as patients with progression-free survival ≥ 30 months and non-long-term responders.Long-term responders had a smaller post-treatment tumor burden at maximum shrinkage than non-long-term responders. Further, post-treatment tumor burden had a strong linear correlation with baseline tumor burden. We created an estimation formula for baseline tumor burden related to prognosis, using these regression lines. Patients with a sum of diameters of target lesions < 60 mm or maximum tumor diameter < 34 mm at baseline were estimated to have significantly better survival outcomes.RESULTSLong-term responders had a smaller post-treatment tumor burden at maximum shrinkage than non-long-term responders. Further, post-treatment tumor burden had a strong linear correlation with baseline tumor burden. We created an estimation formula for baseline tumor burden related to prognosis, using these regression lines. Patients with a sum of diameters of target lesions < 60 mm or maximum tumor diameter < 34 mm at baseline were estimated to have significantly better survival outcomes.We found a strong linear correlation between pre- and post-treatment tumor burden. Our results suggested a cut-off value for baseline tumor burden for long-term prognosis among patients treated with lenvatinib.CONCLUSIONSWe found a strong linear correlation between pre- and post-treatment tumor burden. Our results suggested a cut-off value for baseline tumor burden for long-term prognosis among patients treated with lenvatinib. |
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AbstractList | BackgroundWe previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory differentiated thyroid cancer (RR-DTC) who were treated with lenvatinib. However, the optimal tumor burden for starting lenvatinib still remains to be defined. The aim of this retrospective study was to further explore in the same patient cohort the optimal timing for the start of lenvatinib by focusing on the pre- and post-treatment tumor burden.MethodsThe 26 patients were treated with lenvatinib from 2012 to 2017. We explored the optimal timing for the start of lenvatinib by comparing the characteristics of long-term responders who were defined as patients with progression-free survival ≥ 30 months and non-long-term responders.ResultsLong-term responders had a smaller post-treatment tumor burden at maximum shrinkage than non-long-term responders. Further, post-treatment tumor burden had a strong linear correlation with baseline tumor burden. We created an estimation formula for baseline tumor burden related to prognosis, using these regression lines. Patients with a sum of diameters of target lesions < 60 mm or maximum tumor diameter < 34 mm at baseline were estimated to have significantly better survival outcomes.ConclusionsWe found a strong linear correlation between pre- and post-treatment tumor burden. Our results suggested a cut-off value for baseline tumor burden for long-term prognosis among patients treated with lenvatinib. We previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory differentiated thyroid cancer (RR-DTC) who were treated with lenvatinib. However, the optimal tumor burden for starting lenvatinib still remains to be defined. The aim of this retrospective study was to further explore in the same patient cohort the optimal timing for the start of lenvatinib by focusing on the pre- and post-treatment tumor burden.BACKGROUNDWe previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory differentiated thyroid cancer (RR-DTC) who were treated with lenvatinib. However, the optimal tumor burden for starting lenvatinib still remains to be defined. The aim of this retrospective study was to further explore in the same patient cohort the optimal timing for the start of lenvatinib by focusing on the pre- and post-treatment tumor burden.The 26 patients were treated with lenvatinib from 2012 to 2017. We explored the optimal timing for the start of lenvatinib by comparing the characteristics of long-term responders who were defined as patients with progression-free survival ≥ 30 months and non-long-term responders.METHODSThe 26 patients were treated with lenvatinib from 2012 to 2017. We explored the optimal timing for the start of lenvatinib by comparing the characteristics of long-term responders who were defined as patients with progression-free survival ≥ 30 months and non-long-term responders.Long-term responders had a smaller post-treatment tumor burden at maximum shrinkage than non-long-term responders. Further, post-treatment tumor burden had a strong linear correlation with baseline tumor burden. We created an estimation formula for baseline tumor burden related to prognosis, using these regression lines. Patients with a sum of diameters of target lesions < 60 mm or maximum tumor diameter < 34 mm at baseline were estimated to have significantly better survival outcomes.RESULTSLong-term responders had a smaller post-treatment tumor burden at maximum shrinkage than non-long-term responders. Further, post-treatment tumor burden had a strong linear correlation with baseline tumor burden. We created an estimation formula for baseline tumor burden related to prognosis, using these regression lines. Patients with a sum of diameters of target lesions < 60 mm or maximum tumor diameter < 34 mm at baseline were estimated to have significantly better survival outcomes.We found a strong linear correlation between pre- and post-treatment tumor burden. Our results suggested a cut-off value for baseline tumor burden for long-term prognosis among patients treated with lenvatinib.CONCLUSIONSWe found a strong linear correlation between pre- and post-treatment tumor burden. Our results suggested a cut-off value for baseline tumor burden for long-term prognosis among patients treated with lenvatinib. |
Author | Toyoda, Masanori Imamura, Yoshinori Chayahara, Naoko Nibu, Ken-ichi Kiyota, Naomi Teshima, Masanori Suto, Hirotaka Ito, Yasuhiro Otsuki, Naoki Minami, Hironobu Goto, Hideaki Miya, Akihiro Miyauchi, Akira Suzuki, Chiaki |
AuthorAffiliation | 6 Kindai University Faculty of Medicine, Department of Otolaryngology , Osaka , Japan 5 Department of Otolaryngology-Head and Neck Surgery, Kobe University Graduate School of Medicine , Kobe , Japan 1 Department of Medical Oncology/Hematology, Kobe University Graduate School of Medicine , Kobe , Japan 4 Department of Surgery, Kuma Hospital , Kobe , Japan 2 Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Kyoto University , Kyoto , Japan 3 Kobe University Hospital Cancer Center , Kobe , Japan |
AuthorAffiliation_xml | – name: 4 Department of Surgery, Kuma Hospital , Kobe , Japan – name: 2 Department of Otolaryngology-Head and Neck Surgery, Graduate School of Medicine, Kyoto University , Kyoto , Japan – name: 3 Kobe University Hospital Cancer Center , Kobe , Japan – name: 6 Kindai University Faculty of Medicine, Department of Otolaryngology , Osaka , Japan – name: 1 Department of Medical Oncology/Hematology, Kobe University Graduate School of Medicine , Kobe , Japan – name: 5 Department of Otolaryngology-Head and Neck Surgery, Kobe University Graduate School of Medicine , Kobe , Japan |
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Cites_doi | 10.1210/jc.2005-2838 10.1210/jc.2015-3989 10.1016/S0140-6736(14)60421-9 10.1056/NEJMoa1406470 10.1002/hed.25784 10.1007/s12325-020-01433-8 10.1089/thy.2010.0355 10.1016/j.ejca.2008.10.026 10.1089/thy.2016.0549 10.1111/cen.13941 10.1002/cncr.30690 10.1016/j.clon.2016.12.008 10.1089/thy.2015.0020 10.1016/S2213-8587(13)70215-8 10.3310/hta24020 |
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Copyright | Copyright © 2021 Suzuki, Kiyota, Imamura, Goto, Suto, Chayahara, Toyoda, Ito, Miya, Miyauchi, Teshima, Otsuki, Nibu and Minami. Copyright © 2021 Suzuki, Kiyota, Imamura, Goto, Suto, Chayahara, Toyoda, Ito, Miya, Miyauchi, Teshima, Otsuki, Nibu and Minami 2021 Suzuki, Kiyota, Imamura, Goto, Suto, Chayahara, Toyoda, Ito, Miya, Miyauchi, Teshima, Otsuki, Nibu and Minami |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Head and Neck Cancer, a section of the journal Frontiers in Oncology Edited by: Paolo Bossi, University of Brescia, Italy Reviewed by: Shunji Takahashi, Japanese Foundation For Cancer Research, Japan; Jan Baptist Vermorken, University of Antwerp, Belgium |
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References | Schlumberger (B5) 2014; 2 Newbold (B1) 2017; 29 Miyauchi (B9) 2011; 21 Eisenhauer (B8) 2009; 45 Haugen (B11) 2016; 26 Durante (B2) 2006; 91 (B12) 2021 Sabra (B10) 2017; 123 Takahashi (B15) 2020; 37 Suzuki (B6) 2019; 41 Fleeman (B16) 2020; 24 Schlumberger (B4) 2015; 372 Robinson (B14) 2016; 101 Kiyota (B7) 2017; 27 Sabra (B13) 2019; 90 Brose (B3) 2014; 384 |
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Snippet | We previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory differentiated... BackgroundWe previously reported that a high tumor burden is a prognostic factor based on an analysis of 26 patients with radioactive iodine-refractory... |
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SubjectTerms | lenvatinib long-term responders maximum shrinkage of tumor burden multi-target kinase inhibitors (mTKIs) Oncology radioiodine-refractory differentiated thyroid cancer (RR-DTC) |
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Title | Exploratory Analysis to Predict Optimal Tumor Burden for Starting Lenvatinib in Patients With Radioiodine-Refractory Differentiated Thyroid Cancer |
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