Cargando…
Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns
BACKGROUND: The clinical profiles of recurrent retroperitoneal liposarcoma (RLS) need to be explored. The recurrence patterns of RLS are controversial and ambiguous. METHODS: A total of 138 patients with recurrent RLS were finally recruited in the study. The analysis of overall survival (OS) and rec...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631151/ https://www.ncbi.nlm.nih.gov/pubmed/37936091 http://dx.doi.org/10.1186/s12885-023-11586-8 |
_version_ | 1785132310648061952 |
---|---|
author | Deng, Huan Gao, Jingwang Xu, Xingming Liu, Guibin Song, Liqiang Pan, Yisheng Wei, Bo |
author_facet | Deng, Huan Gao, Jingwang Xu, Xingming Liu, Guibin Song, Liqiang Pan, Yisheng Wei, Bo |
author_sort | Deng, Huan |
collection | PubMed |
description | BACKGROUND: The clinical profiles of recurrent retroperitoneal liposarcoma (RLS) need to be explored. The recurrence patterns of RLS are controversial and ambiguous. METHODS: A total of 138 patients with recurrent RLS were finally recruited in the study. The analysis of overall survival (OS) and recurrence-free survival (RFS) was performed by Kaplan‒Meier analysis. To identify independent prognostic factors, all significant variables on univariate Cox regression analysis (P ≤ 0.05) were subjected to multivariate Cox regression analysis. The corresponding nomogram model was further built to predict the survival status of patients. RESULTS: Among patients, the 1-, 3-, and 5-year OS rates were 70.7%, 35.9% and 30.9%, respectively. The 1-, 3- and 5-year RFS rates of the 55 patients who underwent R0 resection were 76.1%, 50.8% and 34.4%, respectively. The multivariate analysis revealed that resection method, tumor size, status of pathological differentiation, pathological subtypes and recurrence pattern were independent risk factors for OS or RFS. Patients with distant recurrence (DR) pattern usually had multifocal tumors (90.5% vs. 74.7%, P < 0.05); they were prone to experience changes of pathological differentiation (69.9% vs. 33.3%, P < 0.05) and had a better prognosis than those with local recurrence (LR) pattern. R0 resection and combined organ resection favored the survival of patients with DR pattern in some cases. CONCLUSIONS: Patients with DR pattern had better prognosis, and they may benefit more from aggressive combined resection than those with LR pattern. Classifying the recurrence patterns of RLS provides guidance for individualized clinical management of recurrent RLS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11586-8. |
format | Online Article Text |
id | pubmed-10631151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106311512023-11-07 Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns Deng, Huan Gao, Jingwang Xu, Xingming Liu, Guibin Song, Liqiang Pan, Yisheng Wei, Bo BMC Cancer Research BACKGROUND: The clinical profiles of recurrent retroperitoneal liposarcoma (RLS) need to be explored. The recurrence patterns of RLS are controversial and ambiguous. METHODS: A total of 138 patients with recurrent RLS were finally recruited in the study. The analysis of overall survival (OS) and recurrence-free survival (RFS) was performed by Kaplan‒Meier analysis. To identify independent prognostic factors, all significant variables on univariate Cox regression analysis (P ≤ 0.05) were subjected to multivariate Cox regression analysis. The corresponding nomogram model was further built to predict the survival status of patients. RESULTS: Among patients, the 1-, 3-, and 5-year OS rates were 70.7%, 35.9% and 30.9%, respectively. The 1-, 3- and 5-year RFS rates of the 55 patients who underwent R0 resection were 76.1%, 50.8% and 34.4%, respectively. The multivariate analysis revealed that resection method, tumor size, status of pathological differentiation, pathological subtypes and recurrence pattern were independent risk factors for OS or RFS. Patients with distant recurrence (DR) pattern usually had multifocal tumors (90.5% vs. 74.7%, P < 0.05); they were prone to experience changes of pathological differentiation (69.9% vs. 33.3%, P < 0.05) and had a better prognosis than those with local recurrence (LR) pattern. R0 resection and combined organ resection favored the survival of patients with DR pattern in some cases. CONCLUSIONS: Patients with DR pattern had better prognosis, and they may benefit more from aggressive combined resection than those with LR pattern. Classifying the recurrence patterns of RLS provides guidance for individualized clinical management of recurrent RLS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11586-8. BioMed Central 2023-11-08 /pmc/articles/PMC10631151/ /pubmed/37936091 http://dx.doi.org/10.1186/s12885-023-11586-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Deng, Huan Gao, Jingwang Xu, Xingming Liu, Guibin Song, Liqiang Pan, Yisheng Wei, Bo Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns |
title | Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns |
title_full | Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns |
title_fullStr | Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns |
title_full_unstemmed | Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns |
title_short | Predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns |
title_sort | predictors and outcomes of recurrent retroperitoneal liposarcoma: new insights into its recurrence patterns |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631151/ https://www.ncbi.nlm.nih.gov/pubmed/37936091 http://dx.doi.org/10.1186/s12885-023-11586-8 |
work_keys_str_mv | AT denghuan predictorsandoutcomesofrecurrentretroperitonealliposarcomanewinsightsintoitsrecurrencepatterns AT gaojingwang predictorsandoutcomesofrecurrentretroperitonealliposarcomanewinsightsintoitsrecurrencepatterns AT xuxingming predictorsandoutcomesofrecurrentretroperitonealliposarcomanewinsightsintoitsrecurrencepatterns AT liuguibin predictorsandoutcomesofrecurrentretroperitonealliposarcomanewinsightsintoitsrecurrencepatterns AT songliqiang predictorsandoutcomesofrecurrentretroperitonealliposarcomanewinsightsintoitsrecurrencepatterns AT panyisheng predictorsandoutcomesofrecurrentretroperitonealliposarcomanewinsightsintoitsrecurrencepatterns AT weibo predictorsandoutcomesofrecurrentretroperitonealliposarcomanewinsightsintoitsrecurrencepatterns |