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Wang L, Li R, Wen A, Lu Q, Wang J, Ruan X, Gamboa A, Malik N, Roland CL, Katz MH, Lyu H, Liu H. Discovering Signature Disease Trajectories in Pancreatic Cancer and Soft-tissue Sarcoma from Longitudinal Patient Records. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.19.25322573. [PMID: 40034771 PMCID: PMC11875324 DOI: 10.1101/2025.02.19.25322573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 03/05/2025]
Abstract
Understanding the disease trajectories of specific diseases can provide important clinical insights. In this paper, we aimed to discover signature disease trajectories of 3 rare cancer types: pancreatic cancer, soft tissue sarcoma (STS) of the trunk and extremity (STS-TE), and STS of the abdomen and retroperitoneum (STS-AR), leveraging IQVIA Oncology Electronic Medical Record. We identified significant diagnosis pairs in patients with these cancers through matched cohort sampling, statistical computation, right-tailed binomial hypothesis test, and visualized trajectories up to 3 progressions. Results included 266 significant diagnosis pairs for pancreatic cancer, 130 for STS-TE, and 118 for STS-AR. We further found 44 2-hop (i.e., 2-progression) and 136 3-hop trajectories before pancreatic cancer, 36 2-hop and 37 3-hop trajectories before STS-TE, and 17 2-hop and 5 3-hop trajectories before STS-AR. Meanwhile, we found 54 2-hop and 129 3-hop trajectories following pancreatic cancer, 11 2-hop and 17 3-hop trajectories following STS-TE, 5 2-hop and 0 3-hop trajectories following STS-AR. Systematic validation of discovered trajectories with the UTHealth Electronic Health Records confirmed the feasibility and reliability of our method. Our result suggested that some key clinical features can potentially serve as early markers of rare cancers. This approach is generalizable to other disease types and real-world longitudinal patient records.
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Affiliation(s)
- Liwei Wang
- McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rui Li
- McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Andrew Wen
- McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Qiuhao Lu
- McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jinlian Wang
- McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Xiaoyang Ruan
- McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Adriana Gamboa
- Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Neha Malik
- Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christina L. Roland
- Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matthew H.G. Katz
- Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Heather Lyu
- Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hongfang Liu
- McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
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Sun L, Zhu Y, Chen C, Huang J, Li B. Accurate diagnosis of pulmonary inflammatory myofibroblastic tumor by imaging technology before operation: A case report. Medicine (Baltimore) 2023; 102:e34798. [PMID: 37657008 PMCID: PMC10476827 DOI: 10.1097/md.0000000000034798] [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: 05/30/2023] [Accepted: 07/27/2023] [Indexed: 09/03/2023] Open
Abstract
RATIONALE Pulmonary inflammatory myofibroblastic tumor (IMT) is a rare borderline tumor, which has the potential of malignant including invasion of surrounding tissues, distant metastasis and recurrence. However, the preoperative diagnosis is difficult and it can also be difficult to distinguish from malignancy in small tissue samples. Preoperative accurate diagnosis has important clinical significance for patients to choose treatment measures and improve the quality of rehabilitation. We was examined by computed tomography (CT) plain scan plus enhanced scan, magnetic resonance diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) imaging technology in an adult female, compared with lung cancer and pulmonary cryptococcus infection for diagnosis of pulmonary IMT. PATIENT CONCERNS A 32-year-old female patient was admitted to the hospital "physical examination revealed nodules in the right upper lung for 1 week". DIAGNOSES The patient was diagnosed with Pulmonary inflammatory myofibroblastic tumor. INTERVENTIONS Single-port thoracoscopic lobectomy was performed after multidisciplinary consultation. OUTCOMES DWI and ADC improves the accuracy of preoperative diagnosis and well guides the formulation of treatment measures. The combined CT, DWI, and ADC magnetic resonance imaging technology has more important significance in the diagnosis and differential diagnosis of IMT and lung malignant tumors. LESSONS Although accurate preoperative diagnosis of pulmonary IMT is difficult. Chest CT examination combined with DWI and ADC imaging technology has high clinical significance for the diagnosis of IMT.
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Affiliation(s)
- Lv Sun
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Huichuan District, Zunyi, Guizhou, P. R. China
| | - Yuhang Zhu
- Department of Anesthesiology, Affiliated Hospital of Zunyi Medical University, Huichuan District, Zunyi, Guizhou, P. R. China
| | - Cheng Chen
- Department of Thoracic Surgery, Affiliated Hospital of Zunyi Medical University, Huichuan District, Zunyi, Guizhou, P. R. China
| | - Jiajia Huang
- Department of Pathology, Zunyi Maternal and Child Health Care Hospital, Honghuagang District, Zunyi, Guizhou, P. R. China
| | - Bangguo Li
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, Medical Imaging Center of Guizhou Province, Huichuan District, Zunyi, Guizhou, P. R. China
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Kasper B, Schuster K, Wilson R, Bickley S, Blay JY, Reinke D, Wartenberg M, Haas R. Global Patient Involvement in Sarcoma Care-A Collaborative Initiative of the Connective Tissue Oncology Society (CTOS) & Sarcoma Patients EuroNet (SPAEN). Cancers (Basel) 2022; 14:cancers14040854. [PMID: 35205602 PMCID: PMC8870105 DOI: 10.3390/cancers14040854] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/06/2022] [Accepted: 02/07/2022] [Indexed: 11/25/2022] Open
Abstract
Simple Summary Patients and patient advocates from Sarcoma Patients EuroNet (SPAEN), a global network of national Sarcoma Patient Advocacy Groups, and medical experts from the scientifically driven Connective Tissue Oncology Society (CTOS) came together on 9 November 2021 at an official ancillary event to the CTOS 2021 Annual Meeting. At the event, representatives of CTOS and SPAEN jointly discussed gaps and challenges in global sarcoma care and management. This resulting position paper highlights the main findings and possible future steps. Abstract Sarcomas are a grouping of rare cancers with a wide variety of histological types that are difficult to diagnose and treat. This leads to many varying challenges not only for sarcoma patients, but also for doctors, researchers, and caregivers. Patient advocacy groups have an important role to play in rare cancers such as sarcomas, especially in collaboration with experts and their medical societies. To this end, patients and patient advocates from Sarcoma Patients EuroNet (SPAEN), a global network of national Sarcoma Patient Advocacy Groups, and medical experts from the scientifically driven Connective Tissue Oncology Society (CTOS) came together on 9 November 2021 at an official ancillary event to the CTOS 2021 Annual Meeting. At the event, representatives of CTOS and SPAEN jointly discussed gaps and challenges in global sarcoma care and management. This resulting position paper highlights the main findings and possible future steps.
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Affiliation(s)
- Bernd Kasper
- Sarcoma Unit, Mannheim Cancer Center (MCC), Mannheim University Medical Center, University of Heidelberg, 68167 Mannheim, Germany
- Correspondence: ; Tel.: +49-621-383-2580
| | - Kathrin Schuster
- Sarcoma Patients EuroNet, SPAEN, 61200 Wölfersheim, Germany; (K.S.); (R.W.); (M.W.)
| | - Roger Wilson
- Sarcoma Patients EuroNet, SPAEN, 61200 Wölfersheim, Germany; (K.S.); (R.W.); (M.W.)
| | | | | | - Denise Reinke
- Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA;
| | - Markus Wartenberg
- Sarcoma Patients EuroNet, SPAEN, 61200 Wölfersheim, Germany; (K.S.); (R.W.); (M.W.)
| | - Rick Haas
- Department of Radiotherapy, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands;
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