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Wang J, Dong S, Zhang J, Gao S, Li Z, Li P, Yuan J, Tian Z. Undifferentiated Pleomorphic Sarcoma with Neoplastic Fever: A Retrospective Study. Cancer Manag Res 2021; 13:8481-8487. [PMID: 34795527 PMCID: PMC8592396 DOI: 10.2147/cmar.s339278] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 11/03/2021] [Indexed: 11/23/2022] Open
Abstract
Background Although the annual incidence of undifferentiated pleomorphic sarcoma (UPS) is extremely low, it can be subdivided into different subtypes. UPS with fever of unknown origin (also known as neoplastic fever) is a specific subtype of UPS, which shows certain clinical features that differentiate it from other UPS subtypes. However, no studies have focused on this rare UPS subtype. This study retrospectively analyzed the clinical data of patients with UPS to provide a reference for the diagnosis and treatment of UPS with neoplastic fever. Methods This study included patients with UPS who were diagnosed and treated between June 2012 and June 2018. We examined whether these patients had a history of neoplastic fever. The characteristics of patients with UPS with neoplastic fever were summarized and analyzed. Results We reviewed the medical records of 183 patients with UPS. Seven (3.83%) of these patients had neoplastic fever. In patients with UPS with neoplastic fever, the primary lesions were located in the extremities and across the muscle space. In these patients, magnetic resonance imaging showed necrosis within the tumor body and extensive soft tissue edema around the tumor body. Patients with UPS with neoplastic fever had a lower metastasis rate (14.29% vs 44.94%) and a higher 3-year survival rate (85.71% vs 59.55%) than those without neoplastic fever. Conclusion UPS with neoplastic fever is characterized by intratumoral necrosis and extensive edema of the surrounding soft tissues. Patients with UPS with neoplastic fever may have a better prognosis than those without neoplastic fever.
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Affiliation(s)
- Jiaqiang Wang
- Department of Bone and Soft Tissue, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
| | - Shuping Dong
- Department of Bone and Soft Tissue, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
| | - Jianpo Zhang
- Pathology Department, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
| | - Shilei Gao
- Department of Bone and Soft Tissue, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
| | - Zhehuang Li
- Department of Bone and Soft Tissue, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
| | - Po Li
- Department of Bone and Soft Tissue, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
| | - Junhui Yuan
- Medical Imaging Department, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
| | - Zhichao Tian
- Department of Bone and Soft Tissue, the Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan Province, 450008, People's Republic of China
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Mallik S, Bandyopadhyay S. WeCoMXP: Weighted Connectivity Measure Integrating Co-Methylation, Co-Expression and Protein-Protein Interactions for Gene-Module Detection. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2020; 17:690-703. [PMID: 30183644 DOI: 10.1109/tcbb.2018.2868348] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The identification of modules (groups of several tightly interconnected genes) in gene interaction network is an essential task for better understanding of the architecture of the whole network. In this article, we develop a novel weighted connectivity measure integrating co-methylation, co-expression, and protein-protein interactions (called WeCoMXP) to detect gene-modules for multi-omics dataset. The proposed measure goes beyond the fundamental degree centrality measure through considering some formulation of higher-order connections. Thereafter, we apply the average linkage clustering method using the corresponding dissimilarity (distance) values of WeCoMXP scores, and utilize a dynamic tree cut method for identifying some gene-modules. We validate the modules through literature search, KEGG pathway, and gene-ontology analyses on the genes representing the modules. Furthermore, the top 10 TFs/miRNAs that are connected with the maximum number of gene-modules and that regulate/target the maximum number of genes from these connected gene-modules, are identified. Moreover, our proposed method provides a better performance than the existing methods in terms of several cluster-validity indices in maximum times.
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Prognostic Factors for Patients With Undifferentiated High Grade Pleomorphic Sarcoma of the Spine. Spine (Phila Pa 1976) 2019; 44:E539-E548. [PMID: 30724827 DOI: 10.1097/brs.0000000000002932] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN Retrospective survival analysis of 44 undifferentiated high grade pleomorphic sarcoma (UPS) of the spine. OBJECTIVE To identify factors related to overall survival (OS) and help decision making in the treatment of undifferentiated high grade pleomorphic sarcoma of the spine. SUMMARY OF BACKGROUND DATA UPS is an aggressive malignant tumor rarely originating from the spine. Due to its scarcity, only a few studies had been reported to describe the clinical features, treatments, and outcomes of sporadic cases, devoid of evaluation on prognostic factors. METHODS Enrolled in this survival analysis were 44 patients who underwent surgery and adjuvant therapies from January 1999 to December 2015. Kaplan-Meier methods were applied to estimate the overall survival. A multivariate Cox algorithm was applied to recognize factors independently associated with overall survival. RESULTS Multivariate analysis suggested that age greater than or equal to 55 years (hazard ratio [HR], 3.923, P < 0.001), Eastern Cooperative Oncology Group (ECOG) score four (HR, 4.656, P < 0.001), and subtotal resection or piecemeal total resection (HR, 4.375, P < 0.001) were independently associated with poor overall survival. CONCLUSION We identified independent prognostic factors of UPS of the spine. Subtotal resection or piecemeal total resection, age more than or equal to 55 years and ECOG score four are factors adversely affecting overall survival of patients with UPS of the spine. LEVEL OF EVIDENCE 4.
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Kennedy K, Thomas R, Durrant J, Jiang T, Motsinger-Reif A, Breen M. Genome-wide DNA copy number analysis and targeted transcriptional analysis of canine histiocytic malignancies identifies diagnostic signatures and highlights disruption of spindle assembly complex. Chromosome Res 2019; 27:179-202. [PMID: 31011867 DOI: 10.1007/s10577-019-09606-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 02/18/2019] [Accepted: 02/19/2019] [Indexed: 12/16/2022]
Abstract
Canine histiocytic malignancies (HM) are rare across the general dog population, but overrepresented in certain breeds, such as Bernese mountain dog and flat-coated retriever. Accurate diagnosis relies on immunohistochemical staining to rule out histologically similar cancers with different prognoses and treatment strategies (e.g., lymphoma and hemangiosarcoma). HM are generally treatment refractory with overall survival of less than 6 months. A lack of understanding regarding the mechanisms of disease development and progression hinders development of novel therapeutics. While the study of human tumors can benefit veterinary medicine, the rarity of the suggested orthologous disease (dendritic cell sarcoma) precludes this. This study aims to improve the understanding of underlying disease mechanisms using genome-wide DNA copy number and gene expression analysis of spontaneous HM across several dog breeds. Extensive DNA copy number disruption was evident, with losses of segments of chromosomes 16 and 31 detected in 93% and 72% of tumors, respectively. Droplet digital PCR (ddPCR) evaluation of these regions in numerous cancer specimens effectively discriminated HM from other common round cell tumors, including lymphoma and hemangiosarcoma, resulting in a novel, rapid diagnostic aid for veterinary medicine. Transcriptional analysis demonstrated disruption of the spindle assembly complex, which is linked to genomic instability and reduced therapeutic impact in humans. A key signature detected was up-regulation of Matrix Metalloproteinase 9 (MMP9), supported by an immunohistochemistry-based assessment of MMP9 protein levels. Since MMP9 has been linked with rapid metastasis and tumor aggression in humans, the data in this study offer a possible mechanism of aggression in HM.
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Affiliation(s)
- Katherine Kennedy
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, 1060 William Moore Drive, Raleigh, NC, 27607, USA.,Sentinel Biomedical Incorporated, Centennial Biomedical Campus, Raleigh, NC, 27607, USA
| | - Rachael Thomas
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, 1060 William Moore Drive, Raleigh, NC, 27607, USA.,Comparative Medicine Institute, North Carolina State University, Raleigh, NC, 27607, USA
| | - Jessica Durrant
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27607, USA
| | - Tao Jiang
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, 27695, USA.,Department of Statistics, North Carolina State University, Raleigh, NC, 27695, USA
| | - Alison Motsinger-Reif
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, 27695, USA.,Department of Statistics, North Carolina State University, Raleigh, NC, 27695, USA
| | - Matthew Breen
- Department of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, 1060 William Moore Drive, Raleigh, NC, 27607, USA. .,Comparative Medicine Institute, North Carolina State University, Raleigh, NC, 27607, USA. .,Cancer Genetics Program, University of North Carolina Lineberger Comprehensive Cancer Center, Chapel Hill, NC, 27599, USA. .,Duke Cancer Institute, Duke University, Durham, NC, 27710, USA.
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