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Analysis of prognostic factors in soft tissue sarcoma: Cancer registry from a single tertiary hospital in Indonesia. A retrospective cohort study.

ABSTRACT: Background:Soft tissue sarcoma is one cause of mortality in adult malignancies. This tumor is rare, persistent, and highly-recurrent. Many patients are came in late stage. It is important to identify a prognostic tool that is reliable, easily obtainable, and widely applicable. The aim of this study is to investigate and analyze the prognostic value of clinicopathological and biomarker factors in patients with soft tissue sarcoma. Methods:This retrospective study extracts data from the musculoskeletal tumor registry from January 2012 to December 2018 in a single tertiary hospital. Eighty patients with diagnosis of soft tissue sarcoma were included. Preoperative modified Glasgow Prognostic Score, Neutrophils/Lymphocytes Ratio, Hemoglobin, serum lactate dehydrogenase data were analyzed along with demographic, clinical, radiological and histopathological data. The relationship between variables on overall survival, distant metastasis, and local recurrence were evaluated using univariate and multivariate Cox regression. Results:On univariate analysis, there was significant relationship between hemoglobin, Neutrophils/Lymphocytes Ratio and modified Glasgow Prognostic Score with overall survival (p = 0.031, HR = 1.99; p = 0.04, HR = 1.129; and p = 0.044, HR = 3.89). A significant relationship was found between age and soft tissue sarcoma stage with distant metastasis (p = 0.046, HR = 1.95; and p = 0.00, HR = 3.22). In addition, we also found significant relationship between surgical margin with local recurrence (p = 0.018, OR = 3.44). However, on multivariate analysis the independent prognostic factor for overall survival was only modified Glasgow Prognostic Score (HR = 2.138; p = 0.011). Stage IIIA (HR = 5.32; p = 0.005) and IIIB (HR = 13.48; p = 0.00) were independent prognostic for distant metastasis. Surgical margin was independently associated with local recurrence (HR = 14.84; p = 0.001). Conclusion:Modified Glasgow Prognostic Score can be used as prognostic tool of overall survival in soft tissue sarcoma patients. Moreover, stage of STS and surgical margin can be used as a prognostic factor for distant metastasis and local recurrence of soft tissue sarcoma respectively.

SUBMITTER: Mahyudin F

PROVIDER: S-EPMC7453062 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Analysis of prognostic factors in soft tissue sarcoma: Cancer registry from a single tertiary hospital in Indonesia. A retrospective cohort study.

Mahyudin Ferdiansyah F Edward Mouli M Basuki Muhammad Hardian MH Basrewan Yunus Y Hernugrahanto Kukuh Dwiputra KD Wahyudiputra Adhinanda Gema AG

Annals of medicine and surgery (2012) 20200807

<h4>Background</h4>Soft tissue sarcoma is one cause of mortality in adult malignancies. This tumor is rare, persistent, and highly-recurrent. Many patients are came in late stage. It is important to identify a prognostic tool that is reliable, easily obtainable, and widely applicable. The aim of this study is to investigate and analyze the prognostic value of clinicopathological and biomarker factors in patients with soft tissue sarcoma.<h4>Methods</h4>This retrospective study extracts data from ...[more]

PMID: 32884743

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Project description:BackgroundSoft-tissue sarcomas (STS) constitute a rare group of heterogeneous mesenchymal tumours containing more than 100 histologic subtypes. Here, we investigate whether, and if so, to what extent, skeletal metastases affect the outcome of patients with advanced or metastatic disease.Materials and methodsSelected patients participated in five clinical trials of EORTC-STBSG. Individuals were included if they started treatment with an active drug and had advanced/metastatic STS. The endpoints of interest were overall survival (OS) and progression-free survival (PFS). Univariate and multivariate pooled analyses (after correcting for 12 covariates) were employed with Kaplan-Meier and Cox regression to model the impact of bone metastasis at presentation per treatment line stratified by study. For the subset of patients with bone metastasis, the impact of another metastatic organ site was explored with multivariate Cox regression models.Results565 out of 1034 (54.6%) patients received first-line systemic treatment for locally advanced or metastatic disease. Bone metastases were present in 140 patients (77 first-line, 63 second-line or higher). The unadjusted difference in OS/PFS with or without bone metastasis was statistically significant only for first-line patients. For OS, the adjusted hazard ratios for bone metastasis presence were 1.33 (95%-CI: 0.99-1.78) and 1.11 (95%-CI: 0.81-1.52) for first-line/second-line or higher treated patients, respectively. Likewise, the adjusted hazard ratios for PFS were 1.31 (95%-CI: 1.00-1.73) and 1.07 (95%-CI: 0.80-1.43). Effects were not statistically significant, despite a trend in first-line patients for both endpoints. Subgroup analyses indicated bone and lymph node metastasis as the most detrimental combination for OS and bone and lung metastasis for PFS.ConclusionsAdult STS patients receiving palliative systemic therapy with bone metastasis carried an overall worse prognosis than STS patients without bone metastases. Skeletal metastasis was detrimental for both OS and PFS, independent of the treatment line. Findings may have implications for the management of these patients.

Project description:BackgroundSoft tissue sarcoma is a malignant tumor with high degree of malignancy and poor prognosis, originating from mesenchymal tissue. Long noncoding RNAs (lncRNAs) are involved in various biological and pathological processes in the body. They perform preprocessing, splicing, transport, degradation, and translation of mRNA to achieve posttranscriptional level regulation, resulting in the occurrence, invasion, and metastasis of tumors. Therefore, they are highly relevant with regard to early diagnoses and as prognostic indicators.ObjectiveThe objective of the present study was to identify immune microenvironment-related lncRNAs that can be used to predict soft tissue sarcomas.MethodsClinical 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 coexpression 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. We constructed an mRNA-lncRNA network by Cytoscape software. Finally, qRT-PCR was used to verify the difference in the expression of the lncRNAs in normal cells and sarcoma cells.ResultsUnsupervised 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. qRT-PCR results showed that the expression of AC108134.3 and AL031717.1 was significantly different in normal and sarcoma cells.ConclusionIn summary, the experimental results showed that lncrnA associated with immune microenvironment was related to tumor, which may provide a new idea for immunotherapy of STS.

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Analysis of prognostic factors in soft tissue sarcoma: Cancer registry from a single tertiary hospital in Indonesia. A retrospective cohort study.

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Analysis of prognostic factors in soft tissue sarcoma: Cancer registry from a single tertiary hospital in Indonesia. A retrospective cohort study.

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