scholarly journals Comprehensive miRNA expression analysis for histological subtypes of soft tissue sarcoma

2021 ◽  
Vol 65 (1) ◽  
pp. 13-22
Author(s):  
Ryuto Tsuchiya ◽  
Yuki Yoshimatsu ◽  
Naoto Tsuchiya ◽  
Seiji Ohtori ◽  
Akira Kawai ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Expression Analysis ◽  
Mirna Expression ◽  
Histological Subtypes

scholarly journals Identification of Prognostic lncRNA Related to the Immune Microenvironment of Soft Tissue Sarcoma

2021 ◽  
Author(s):  
Wang-Ying Dai ◽  
Bin Wang ◽  
Jian-Yi Li ◽  
Jun-Cheng Zhu ◽  
Zong-ping Luo
Keyword(s):  
Cluster Analysis ◽  
High Risk ◽  
Soft Tissue ◽  
Tumor Microenvironment ◽  
Soft Tissue Sarcoma ◽  
Expression Analysis ◽  
Risk Group ◽  
Immune Microenvironment ◽  
Kaplan Meier ◽  
Unsupervised Cluster Analysis

Abstract Background: Soft tissue sarcoma is a malignant tumor with high degree of malignancy and poor prognosis, originating from mesenchymal tissue. Long non-coding RNAs (lncRNAs) are involved in various biological and pathological processes in the body. They target mRNA through transcription or post-transcription, resulting in the occurrence, invasion, and metastasis of tumors. Therefore, they are highly relevant with regard to early diagnoses and as prognostic indicators.Objective: The objective of the present study was to identify immune-related lncRNAs associated with the tumor microenvironment that can be used to predict soft tissue sarcomas.Methods: Clinical data and follow-up data were obtained from the cBioPortal database, and RNA sequencing data used for the model structure can be accessed from. The Cancer Genome Atlas (TCGA) database. LncRNAs were screened by differential expression analysis and co-expression analysis. The Cox regression model and Kaplan–Meier analysis were used to study the association between lncRNAs and soft tissue sarcoma prognosis in the immune microenvironment. Unsupervised cluster analysis was then completed to discover the impact of screening lncRNAs on disease. Lastly, we constructed an mRNA-lncRNA network by Cytoscape software.Results: Unsupervised cluster analysis revealed that the 210 lncRNAs screened showed strong correlation with the tumor immune microenvironment. Two signatures containing seven and five lncRNAs related to the tumor microenvironment were constructed and used to predict overall survival (OS) and disease-free survival (DFS). The Kaplan–Meier（K-M） survival curve showed that the prognoses of patients in the high-risk and low-risk groups differed significantly, and the prognosis associated with the low-risk group was better than that associated with the high-risk group. Two nomograms with predictive capabilities were established.Conclusion: The results indicate that seven OS- and five DFS-related lncRNAs are correlated with the prognosis of soft tissue sarcoma.

scholarly journals Precision Medicine in Soft Tissue Sarcoma Treatment

Cancers ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 221 ◽  
Author(s):  
Kenji Nakano ◽  
Shunji Takahashi
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Targeted Therapies ◽  
Antitumor Agents ◽  
Treatment Strategies ◽  
Genetic Mutation ◽  
Histological Subtypes ◽  
Genome Profiling ◽  
Number Of Patients ◽  
Precision Therapy

Soft tissue sarcoma (STS) is a rare component of malignant diseases. STS includes various histological subtypes, and there are some important differences among the different histological subtypes regarding the mutation profile and sensitivity to antitumor agents. Many clinical trials of STS incorporating many different histological subtypes in various populations have been conducted; it is difficult to compare the findings and make conclusions about clinical efficacy. Targeted therapies focusing on specific histological subtypes and precision therapy focusing on the specific genetic mutation(s) of each STS patient are being investigated. Since STS patients are a small population, new clinical trial designs are required to evaluate and establish new targeted therapies for each histological subtype that has a limited number of patients, and preclinical investigations are needed to detect targetable mutations. Now that cancer genome profiling is used in clinical practice, it is urgently necessary to connect the genome profiling data obtained in clinical settings to the optimal clinical treatment strategies. Herein we review the development and challenges of precision therapy in the management of STS patients.

scholarly journals The clinical efficacy of eribulin to soft tissue sarcoma patients: differences in histological subtypes

2019 ◽  
Vol 30 ◽  
pp. vi123-vi124
Author(s):  
Kenji Nakano ◽  
Yuki Funauchi ◽  
Keiko Hayakawa ◽  
Taisuke Tanizawa ◽  
Keisuke Ae ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Clinical Efficacy ◽  
Histological Subtypes

Activity of eribulin mesylate in patients with soft-tissue sarcoma: a phase 2 study in four independent histological subtypes

2011 ◽  
Vol 12 (11) ◽  
pp. 1045-1052 ◽  
Author(s):  
Patrick Schöffski ◽  
Isabelle Laure Ray-Coquard ◽  
Angela Cioffi ◽  
Nguyen Bin Bui ◽  
Sebastian Bauer ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Phase 2 ◽  
Histological Subtypes ◽  
Eribulin Mesylate ◽  
Phase 2 Study

Soft tissue head and neck sarcoma: experience of a tertiary referral centre over a 15-year period

2019 ◽  
Vol 133 (12) ◽  
pp. 1053-1058
Author(s):  
L Harrison ◽  
T McCulloch ◽  
N Beasley
Keyword(s):  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Head And Neck ◽  
Tumour Size ◽  
Case Series ◽  
Soft Tissue Sarcomas ◽  
Prognostic Indicators ◽  
Histological Subtypes ◽  
Referral Centre ◽  
Tertiary Referral Centre

AbstractBackgroundHead and neck soft tissue sarcoma is uncommon. It is both histologically and clinically heterogeneous, ranging from an indolent, locally destructive tumour, to a locally aggressive neoplasm with metastatic potential.MethodsA retrospective review was conducted of all adult head and neck soft tissue sarcomas, including cases of malignant soft tissue sarcoma and all intermediate type tumours, diagnosed between 1997 and 2012.ResultsSixty-eight cases were identified in this series from the sarcoma multidisciplinary team. Seventeen different histological subtypes of sarcoma were identified. Neither age, gender nor tumour size were significant prognostic indicators for survival in this series.ConclusionPrognosis is dependent on histological subtype, underscoring the importance of histological classification. Some histological subtypes occur only once or twice in a decade, even within a large regional referral centre. An accumulation of evidence from relatively small case series is key in the long-term development of treatment strategies.

Morphological Examination of a Herpes-type Virus Indigenous for Tree Shrews

1970 ◽  
Vol 28 ◽  
pp. 160-161
Author(s):  
J. P. Brunschwig ◽  
R. M. McCombs ◽  
R. Mirkovic ◽  
M. Benyesh-Melnick
Keyword(s):  
Electron Microscopy ◽  
Soft Tissue ◽  
Chick Embryo ◽  
Soft Tissue Sarcoma ◽  
Cell Cultures ◽  
Tree Shrew ◽  
Type Virus ◽  
Morphological Examination ◽  
Tree Shrews ◽  
Embryo Cells

A new virus, established as a member of the herpesvirus group by electron microscopy, was isolated from spontaneously degenerating cell cultures derived from the kidneys and lungs of two normal tree shrews. The virus was found to replicate best in cells derived from the homologous species. The cells used were a tree shrew cell line, T-23, which was derived from a spontaneous soft tissue sarcoma. The virus did not multiply or did so poorly for a limited number of passages in human, monkey, rodent, rabbit or chick embryo cells. In the T-23 cells, the virus behaved as members of the subgroup B of herpesvirus, in that the virus remained primarily cell associated.

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