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Sharbatdaran A, Cohen T, Dev H, Sattar U, Bazojoo V, Wang Y, Hu Z, Zhu C, He X, Romano D, Scandura JM, Prince MR. Model-Assisted Spleen Contouring for Assessing Splenomegaly in Myelofibrosis: A Fast and Reproducible Approach to Evaluate Progression and Treatment Response. J Clin Med 2025; 14:443. [PMID: 39860449 PMCID: PMC11766003 DOI: 10.3390/jcm14020443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2025] [Revised: 01/06/2025] [Accepted: 01/07/2025] [Indexed: 01/27/2025] Open
Abstract
Background/Objectives: Accurate and reproducible spleen volume measurements are essential for assessing treatment response and disease progression in myelofibrosis. This study evaluates techniques for measuring spleen volume on abdominal MRI. Methods: In 20 patients with bone marrow biopsy-proven myelofibrosis, 5 observers independently measured spleen volume on 3 abdominal MRI pulse sequences, 3D-spoiled gradient echo T1, axial single-shot fast spin echo (SSFSE) T2, and coronal SSFSE T2, using ellipsoidal approximation, manual contouring, and 3D nnU-Net model-assisted contouring comparing coefficients of variation. Changes in spleen volume were compared to all information to assess which measurement technique tracked disease progression with the greatest accuracy. Results: The coefficient of variation in spleen volume measurements averaging over 3 sequences was significantly lower for model-assisted contouring, 1.6% and manual contouring, 3.5%, compared to ellipsoidal estimation from 3 dimensions measured on axial and coronal T2 images, 15, p < 0.001. In 4 subjects with divergent treatment response predictions, model-assisted contouring was consistent with all information while ellipsoidal estimation was not. Manual contouring tracked similarly to model-assisted contouring but required more operator time. Conclusions: Model-assisted segmentations provide efficient and more reproducible spleen volume measurements compared to estimates of spleen volume from ellipsoidal approximations and improve objective determinations of clinical trial enrollment eligibility based upon spleen volume as well as assessments of treatment response.
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Affiliation(s)
- Arman Sharbatdaran
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Téa Cohen
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Hreedi Dev
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Usama Sattar
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Vahid Bazojoo
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Yin Wang
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Zhongxiu Hu
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Chenglin Zhu
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
| | - Xinzi He
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Dominick Romano
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA
| | - Joseph M. Scandura
- Richard T. Silver Myeloproliferative Neoplasms Center, Weill Cornell Medicine, New York, NY 10065, USA;
- Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Martin R. Prince
- Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA; (A.S.); (T.C.); (H.D.); (U.S.); (Y.W.); (Z.H.); (C.Z.); (X.H.)
- Department of Radiology, Columbia College of Physicians and Surgeons, New York, NY 10032, USA
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Kang MA, Lee J, Ha SH, Lee CM, Kim KM, Jang KY, Park SH. Interleukin4Rα (IL4Rα) and IL13Rα1 Are Associated with the Progress of Renal Cell Carcinoma through Janus Kinase 2 (JAK2)/Forkhead Box O3 (FOXO3) Pathways. Cancers (Basel) 2019; 11:cancers11091394. [PMID: 31540495 PMCID: PMC6770213 DOI: 10.3390/cancers11091394] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 09/13/2019] [Accepted: 09/15/2019] [Indexed: 12/17/2022] Open
Abstract
Specific kinds of interleukin (IL) receptors are known to mediate lymphocyte proliferation and survival. However, recent reports have suggested that the high expression of IL4Rα and IL13Rα1 in tumor tissue might be associated with tumorigenesis in several kinds of tumor. We found that a significant association between mRNA level of IL4Rα or IL13Rα1 and the poor prognosis of renal cell carcinoma (RCC) from the public database (http://www.oncolnc.org/). Then, we evaluated the clinicopathological significance of the immunohistochemical expression of IL4Rα and IL13Rα1 in 199 clear cell RCC (CCRCC) patients. The individual and co-expression patterns of IL4Rα and IL13Rα1 were significantly associated with cancer-specific survival (CSS) and relapse-free survival (RFS) in univariate analysis. Multivariate analysis indicated IL4Rα-positivity and co-expression of IL4Rα and IL13Rα1 as the independent indicators of shorter CSS and RFS of CCRCC patients. For the in vitro evaluation of the oncogenic role of IL4Rα and IL13Rα1 in RCC, we knock-downed IL4Rα or IL13Rα1 and observed that the cell proliferation rate was decreased, and the apoptosis rate was increased in A498 and ACHN cells. Furthermore, we examined the possible role of Janus kinase 2 (JAK2), well-known down-stream tyrosine kinase under the heterodimeric receptor complex of IL4Rα and IL13Rα1. Interestingly, JAK2 interacted with Forkhead box O3 (FOXO3) to cause tyrosine-phosphorylation of FOXO3. Silencing IL4Rα or JAK2 in A498 and ACHN cells reduced the interaction between JAK2 and FOXO3. Moreover, pharmacological inhibition of JAK2 induced the nuclear localization of FOXO3, leading to increase apoptosis and decrease cell proliferation rate in A498 and ACHN cells. Taken together, these results suggest that IL4Rα and IL13Rα1 might be involved in the progression of RCC through JAK2/FOXO3 pathway, and their expression might be used as the novel prognostic factor and therapeutic target for RCC patients.
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Affiliation(s)
- Mi-Ae Kang
- Department of Biological Science, Gachon University, Seongnam 13120, Korea.
| | - Jongsung Lee
- Department of Integrative Biotechnology, Sungkyunkwan University, Suwon 16419, Korea.
| | - Sang Hoon Ha
- Division of Biotechnology, Chonbuk National University, Iksan 54596, Korea.
| | - Chang Min Lee
- Department of Bio and Chemical Engineering, Hongik University, Sejong 30016, Korea.
| | - Kyoung Min Kim
- Department of Pathology, Chonbuk National University Medical School, Chonbuk National University, Jeonju 54896, Korea.
- Research Institute of Clinical Medicine of Chonbuk National University-Biomedical, Chonbuk National University, Jeonju 54896, Korea.
- Research Institute of Chonbuk National University Hospital, Chonbuk National University, Jeonju 54896, Korea.
| | - Kyu Yun Jang
- Department of Pathology, Chonbuk National University Medical School, Chonbuk National University, Jeonju 54896, Korea.
- Research Institute of Clinical Medicine of Chonbuk National University-Biomedical, Chonbuk National University, Jeonju 54896, Korea.
- Research Institute of Chonbuk National University Hospital, Chonbuk National University, Jeonju 54896, Korea.
| | - See-Hyoung Park
- Department of Bio and Chemical Engineering, Hongik University, Sejong 30016, Korea.
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