A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma

Soft tissue sarcomas (STS), a group of rare malignant tumours with high tissue heterogeneity, still lack effective clinical stratification and prognostic models. Therefore, we conducted this study to establish a reliable prognostic gene signature. Using 189 STS patients’ data from The Cancer Genome...

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Autores principales:	Changwu Wu, Siming Gong, Georg Osterhoff, Nikolas Schopow
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	soft tissue sarcomas gene signature prognosis nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/3807cbcd6d9140ffa3b89c744747358a
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spelling	oai:doaj.org-article:3807cbcd6d9140ffa3b89c744747358a2021-11-25T17:04:39ZA Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma10.3390/cancers132258372072-6694https://doaj.org/article/3807cbcd6d9140ffa3b89c744747358a2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5837https://doaj.org/toc/2072-6694Soft tissue sarcomas (STS), a group of rare malignant tumours with high tissue heterogeneity, still lack effective clinical stratification and prognostic models. Therefore, we conducted this study to establish a reliable prognostic gene signature. Using 189 STS patients’ data from The Cancer Genome Atlas database, a four-gene signature including DHRS3, JRK, TARDBP and TTC3 was established. A risk score based on this gene signature was able to divide STS patients into a low-risk and a high-risk group. The latter had significantly worse overall survival (OS) and relapse free survival (RFS), and Cox regression analyses showed that the risk score is an independent prognostic factor. Nomograms containing the four-gene signature have also been established and have been verified through calibration curves. In addition, the predictive ability of this four-gene signature for STS metastasis free survival was verified in an independent cohort (309 STS patients from the Gene Expression Omnibus database). Finally, Gene Set Enrichment Analysis indicated that the four-gene signature may be related to some pathways associated with tumorigenesis, growth, and metastasis. In conclusion, our study establishes a novel four-gene signature and clinically feasible nomograms to predict the OS and RFS. This can help personalized treatment decisions, long-term patient management, and possible future development of targeted therapy.Changwu WuSiming GongGeorg OsterhoffNikolas SchopowMDPI AGarticlesoft tissue sarcomasgene signatureprognosisnomogramNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5837, p 5837 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	soft tissue sarcomas gene signature prognosis nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	soft tissue sarcomas gene signature prognosis nomogram Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Changwu Wu Siming Gong Georg Osterhoff Nikolas Schopow A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma
description	Soft tissue sarcomas (STS), a group of rare malignant tumours with high tissue heterogeneity, still lack effective clinical stratification and prognostic models. Therefore, we conducted this study to establish a reliable prognostic gene signature. Using 189 STS patients’ data from The Cancer Genome Atlas database, a four-gene signature including DHRS3, JRK, TARDBP and TTC3 was established. A risk score based on this gene signature was able to divide STS patients into a low-risk and a high-risk group. The latter had significantly worse overall survival (OS) and relapse free survival (RFS), and Cox regression analyses showed that the risk score is an independent prognostic factor. Nomograms containing the four-gene signature have also been established and have been verified through calibration curves. In addition, the predictive ability of this four-gene signature for STS metastasis free survival was verified in an independent cohort (309 STS patients from the Gene Expression Omnibus database). Finally, Gene Set Enrichment Analysis indicated that the four-gene signature may be related to some pathways associated with tumorigenesis, growth, and metastasis. In conclusion, our study establishes a novel four-gene signature and clinically feasible nomograms to predict the OS and RFS. This can help personalized treatment decisions, long-term patient management, and possible future development of targeted therapy.
format	article
author	Changwu Wu Siming Gong Georg Osterhoff Nikolas Schopow
author_facet	Changwu Wu Siming Gong Georg Osterhoff Nikolas Schopow
author_sort	Changwu Wu
title	A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma
title_short	A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma
title_full	A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma
title_fullStr	A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma
title_full_unstemmed	A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma
title_sort	novel four-gene prognostic signature for prediction of survival in patients with soft tissue sarcoma
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3807cbcd6d9140ffa3b89c744747358a
work_keys_str_mv	AT changwuwu anovelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma AT siminggong anovelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma AT georgosterhoff anovelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma AT nikolasschopow anovelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma AT changwuwu novelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma AT siminggong novelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma AT georgosterhoff novelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma AT nikolasschopow novelfourgeneprognosticsignatureforpredictionofsurvivalinpatientswithsofttissuesarcoma
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A Novel Four-Gene Prognostic Signature for Prediction of Survival in Patients with Soft Tissue Sarcoma

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