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A prognostic model for soft tissue sarcoma of the extremities and trunk wall based on size, vascular invasion, necrosis, and growth pattern.

Carneiro, Ana LU ; Bendahl, Pär-Ola LU ; Engellau, Jacob LU ; Domanski, Henryk LU ; Fletcher, Christopher D ; Rissler, Pehr ; Rydholm, Anders LU and Nilbert, Mef LU (2011) In Cancer Dec. p.1279-1287
Abstract
BACKGROUND:: In soft tissue sarcoma, better distinction of high-risk and low-risk patients is needed to individualize treatment and improve survival. Prognostic systems used in clinical practice identify high-risk patients based on various factors, including age, tumor size and depth, histological type, necrosis, and grade. METHODS:: Whole-tumor sections from 239 soft tissue sarcomas of the extremities were reviewed for the following prognostic factors: size, vascular invasion, necrosis, and growth pattern. A new prognostic model, referred to as SING (Size, Invasion, Necrosis, Growth), was established and compared with other clinically applied systems. RESULTS:: Size, vascular invasion, necrosis, and peripheral tumor growth pattern... (More)
BACKGROUND:: In soft tissue sarcoma, better distinction of high-risk and low-risk patients is needed to individualize treatment and improve survival. Prognostic systems used in clinical practice identify high-risk patients based on various factors, including age, tumor size and depth, histological type, necrosis, and grade. METHODS:: Whole-tumor sections from 239 soft tissue sarcomas of the extremities were reviewed for the following prognostic factors: size, vascular invasion, necrosis, and growth pattern. A new prognostic model, referred to as SING (Size, Invasion, Necrosis, Growth), was established and compared with other clinically applied systems. RESULTS:: Size, vascular invasion, necrosis, and peripheral tumor growth pattern provided independent prognostic information with hazard ratios of 2.2-2.6 for development of metastases in multivariate analysis. When these factors were combined into the prognostic model SING, high risk of metastasis was predicted with a sensitivity of 74% and a specificity of 85%. Moreover, the prognostic performance of SING compared favorably with other widely used systems. CONCLUSIONS:: SING represents a promising prognostic model, and vascular invasion and tumor growth pattern should be considered in soft tissue sarcoma prognostication. Cancer 2010. © 2010 American Cancer Society. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Cancer
volume
Dec
pages
1279 - 1287
publisher
John Wiley & Sons Inc.
external identifiers
  • wos:000288349300021
  • pmid:21061335
  • scopus:79952394852
  • pmid:21381015
ISSN
1097-0142
DOI
10.1002/cncr.25621
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Oncology, MV (013035000), Department of Orthopaedics (Lund) (013028000), Pathology, (Lund) (013030000)
id
fb2cf8dc-a93a-4130-b5e0-f5dcd3e47b2d (old id 1732146)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/21061335?dopt=Abstract
date added to LUP
2016-04-04 07:08:04
date last changed
2021-07-06 03:37:57
@article{fb2cf8dc-a93a-4130-b5e0-f5dcd3e47b2d,
  abstract     = {BACKGROUND:: In soft tissue sarcoma, better distinction of high-risk and low-risk patients is needed to individualize treatment and improve survival. Prognostic systems used in clinical practice identify high-risk patients based on various factors, including age, tumor size and depth, histological type, necrosis, and grade. METHODS:: Whole-tumor sections from 239 soft tissue sarcomas of the extremities were reviewed for the following prognostic factors: size, vascular invasion, necrosis, and growth pattern. A new prognostic model, referred to as SING (Size, Invasion, Necrosis, Growth), was established and compared with other clinically applied systems. RESULTS:: Size, vascular invasion, necrosis, and peripheral tumor growth pattern provided independent prognostic information with hazard ratios of 2.2-2.6 for development of metastases in multivariate analysis. When these factors were combined into the prognostic model SING, high risk of metastasis was predicted with a sensitivity of 74% and a specificity of 85%. Moreover, the prognostic performance of SING compared favorably with other widely used systems. CONCLUSIONS:: SING represents a promising prognostic model, and vascular invasion and tumor growth pattern should be considered in soft tissue sarcoma prognostication. Cancer 2010. © 2010 American Cancer Society.},
  author       = {Carneiro, Ana and Bendahl, Pär-Ola and Engellau, Jacob and Domanski, Henryk and Fletcher, Christopher D and Rissler, Pehr and Rydholm, Anders and Nilbert, Mef},
  issn         = {1097-0142},
  language     = {eng},
  pages        = {1279--1287},
  publisher    = {John Wiley & Sons Inc.},
  series       = {Cancer},
  title        = {A prognostic model for soft tissue sarcoma of the extremities and trunk wall based on size, vascular invasion, necrosis, and growth pattern.},
  url          = {http://dx.doi.org/10.1002/cncr.25621},
  doi          = {10.1002/cncr.25621},
  volume       = {Dec},
  year         = {2011},
}