A Low-Grade Myxoid Liposarcoma Arising in a Deep-Seated Conventional Lipoma

2019 ◽  
Vol 27 (8) ◽  
pp. 919-922
Author(s):  
Panagiotis Tsagkozis ◽  
Felix Haglund
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Tumor ◽  
De Novo ◽  
Posterior Part ◽  
Young Male ◽  
Myxoid Liposarcoma ◽  
Low Grade ◽  
En Bloc ◽  
Myxoid Liposarcomas ◽  
Mdm2 Amplification

Myxoid liposarcomas (MLS) are known to arise de novo and have not been shown to derive from previous benign lesions (lipomas), whereas lipomas occasionally harbor areas of other benign mesenchymal tissue. Rarely, tumors presenting with MLS or round cell liposarcomas together with conventional liposarcoma have been classified as mixed liposarcomas. However, no case of MLS arising in a conventional lipoma has been described. In this article, we report a case of a young male presenting with a deep-seated soft tissue tumor of the posterior part of the thigh. The tumor was removed en bloc. Grossing revealed a small encapsulated myxoid lesion (2.5 cm) within the larger lipomatous tumor (14 cm). Histological examination and cytogenetic analysis revealed a FUS-CHOP positive low-grade MLS arising in a conventional lipoma without histological atypia, FUS-CHOP fusion, or CDK4/MDM2 amplification. While we cannot conclude whether these were collision tumors or an MLS progression from a lipoma, this case highlights the value of careful grossing in the soft tissue setting.

A low‐grade malignant soft tissue tumor with S100 and CD34 co‐expression showing novel CDC42SE2‐BRAF fusion with distinct features

2020 ◽  
Vol 59 (10) ◽  
pp. 595-600 ◽  
Author(s):  
Shao‐Jie Sheng ◽  
Ju‐Ming Li ◽  
Yue‐Fen Zou ◽  
Xiao‐Jing Peng ◽  
Qian‐Yu Wang ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Tumor ◽  
Low Grade ◽  
Tissue Tumor ◽  
Malignant Soft Tissue Tumor ◽  
Braf Fusion ◽  
Distinct Features ◽  
Malignant Soft Tissue

scholarly journals A Rare Malignant Soft Tissue Tumor; Low Grade Fibromyxoid Sarcoma: A Case Report

2013 ◽  
Vol 3 (4) ◽  
pp. 208-211
Author(s):  
Varlik Erol ◽  
Tayfun Yoldas ◽  
Banu Yaman ◽  
Cemil Caliskan
Keyword(s):  
Case Report ◽  
Soft Tissue ◽  
Soft Tissue Tumor ◽  
Low Grade ◽  
Tissue Tumor ◽  
Malignant Soft Tissue Tumor ◽  
Fibromyxoid Sarcoma ◽  
Malignant Soft Tissue

scholarly journals Myxoid liposarcoma: a rare soft-tissue tumor with a misleading benign appearance

2009 ◽  
Vol 7 (1) ◽  
Author(s):  
Francois Loubignac ◽  
Christophe Bourtoul ◽  
Francoise Chapel
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Tumor ◽  
Myxoid Liposarcoma ◽  
Tissue Tumor

Low-Grade Fibromyxoid Sarcoma : A Rare Distinctive Soft Tissue Tumor

2013 ◽  
Vol 35 (4) ◽  
pp. 221-223
Author(s):  
Jalal Almaskati ◽  
Devpal Patil ◽  
Shamil Sarsam ◽  
Rawia Mohamed
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Tumor ◽  
Low Grade ◽  
Tissue Tumor ◽  
Fibromyxoid Sarcoma

scholarly journals Cytogenetics and Molecular Genetics of Myxoid Soft-Tissue Sarcomas

2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Jun Nishio ◽  
Hiroshi Iwasaki ◽  
Kazuki Nabeshima ◽  
Masatoshi Naito
Keyword(s):  
Soft Tissue ◽  
Molecular Genetic ◽  
Soft Tissue Sarcomas ◽  
Dermatofibrosarcoma Protuberans ◽  
Myxoid Liposarcoma ◽  
Genetic Alterations ◽  
Clinicopathological Characteristics ◽  
Low Grade ◽  
Mesenchymal Tumors ◽  
Fibromyxoid Sarcoma

Myxoid soft-tissue sarcomas represent a heterogeneous group of mesenchymal tumors characterized by a predominantly myxoid matrix, including myxoid liposarcoma (MLS), low-grade fibromyxoid sarcoma (LGFMS), extraskeletal myxoid chondrosarcoma (EMC), myxofibrosarcoma, myxoinflammatory fibroblastic sarcoma (MIFS), and myxoid dermatofibrosarcoma protuberans (DFSP). Cytogenetic and molecular genetic analyses have shown that many of these sarcomas are characterized by recurrent chromosomal translocations resulting in highly specific fusion genes (e.g., FUS-DDIT3 in MLS, FUS-CREB3L2 in LGFMS, EWSR1-NR4A3 in EMC, and COL1A1-PDGFB in myxoid DFSP). Moreover, recent molecular analysis has demonstrated a translocation t(1; 10)(p22; q24) resulting in transcriptional upregulation of FGF8 and NPM3 in MIFS. Most recently, the presence of TGFBR3 and MGEA5 rearrangements has been identified in a subset of MIFS. These genetic alterations can be utilized as an adjunct in diagnostically challenging cases. In contrast, most myxofibrosarcomas have complex karyotypes lacking specific genetic alterations. This paper focuses on the cytogenetic and molecular genetic findings of myxoid soft-tissue sarcomas as well as their clinicopathological characteristics.

Intermediate Soft Tissue Tumor

2020 ◽  
Author(s):  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Tumor ◽  
Tissue Tumor

scholarly journals Carbon ion radiotherapy for recurrent calf myxoid liposarcoma: a case report

2021 ◽  
Vol 49 (4) ◽  
pp. 030006052110097
Author(s):  
Xiaojun Li ◽  
Yanshan Zhang ◽  
Yancheng Ye ◽  
Ying Qi ◽  
Chunlan Feng ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcomas ◽  
Myxoid Liposarcoma ◽  
Ion Beams ◽  
Carbon Ion Radiotherapy ◽  
Irradiation Damage ◽  
Radiation Dermatitis ◽  
Complete Disappearance ◽  
Carbon Ion ◽  
The Right

Liposarcoma (LPS) is the most common soft tissue sarcoma. Myxoid LPS (MLPS) is the second most common subtype of LPS and accounts for 25% to 50% of all LPSs. Like most other soft tissue sarcomas, the mainstay of treatment for LPS is inevitably surgery. Multidisciplinary approaches, including surgery, chemotherapy, and radiotherapy, have been successful in the treatment of LPS during the last three decades. Even so, recurrence of LPS remains challenging. Carbon ion beams produce increased energy deposition at the end of their range to form a Bragg peak while minimizing irradiation damage to surrounding tissues, which facilitates more precise dosage and localization than that achieved with photon beams. Furthermore, carbon ion beams have high relative biologic effectiveness. We herein describe a patient who developed recurrent MLPS in the right calf after two surgeries and underwent carbon ion radiotherapy (CIRT), achieving complete disappearance of the tumor. The patient developed Grade 1 radiation dermatitis 30 days after CIRT, but no other acute toxicities were observed. The tumor had completely disappeared by 120 days after CIRT, and the patient remained disease-free for 27 months after CIRT. The CARE guidelines were followed in the reporting of this case.

scholarly journals Development and External Validation of Deep-Learning-Based Tumor Grading Models in Soft-Tissue Sarcoma Patients Using MR Imaging

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2866
Author(s):  
Fernando Navarro ◽  
Hendrik Dapper ◽  
Rebecca Asadpour ◽  
Carolin Knebel ◽  
Matthew B. Spraker ◽  
...  
Keyword(s):  
Deep Learning ◽  
Soft Tissue ◽  
Mr Imaging ◽  
Characteristic Curve ◽  
External Validation ◽  
Soft Tissue Sarcomas ◽  
Treatment Decision ◽  
Receiver Operator Characteristic Curve ◽  
Low Grade ◽  
Tumor Grading

Background: In patients with soft-tissue sarcomas, tumor grading constitutes a decisive factor to determine the best treatment decision. Tumor grading is obtained by pathological work-up after focal biopsies. Deep learning (DL)-based imaging analysis may pose an alternative way to characterize STS tissue. In this work, we sought to non-invasively differentiate tumor grading into low-grade (G1) and high-grade (G2/G3) STS using DL techniques based on MR-imaging. Methods: Contrast-enhanced T1-weighted fat-saturated (T1FSGd) MRI sequences and fat-saturated T2-weighted (T2FS) sequences were collected from two independent retrospective cohorts (training: 148 patients, testing: 158 patients). Tumor grading was determined following the French Federation of Cancer Centers Sarcoma Group in pre-therapeutic biopsies. DL models were developed using transfer learning based on the DenseNet 161 architecture. Results: The T1FSGd and T2FS-based DL models achieved area under the receiver operator characteristic curve (AUC) values of 0.75 and 0.76 on the test cohort, respectively. T1FSGd achieved the best F1-score of all models (0.90). The T2FS-based DL model was able to significantly risk-stratify for overall survival. Attention maps revealed relevant features within the tumor volume and in border regions. Conclusions: MRI-based DL models are capable of predicting tumor grading with good reproducibility in external validation.

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