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Added Value of Molecular Biological Analysis in Diagnosis and Clinical Management of Liposarcoma: A 30-Year Single-Institution Experience

Authors :
Daphne de Jong
Frits van Coevorden
Ronald S. A. de Vreeze
Aafke Ariaens
Luc Frenken
Ivon H. G. Tielen
Petra M. Nederlof
Rick L. Haas
Source :
Annals of Surgical Oncology, Annals of Surgical Oncology, 17(3), 686-693
Publication Year :
2010

Abstract

Background Treatment decisions and prognosis assessment for liposarcoma is based on a classification that depends on morphological and genetic features. Revisions by experienced referral pathologists are often advocated. Methods The process of histopathological classification in referring hospitals and subsequently in a referral center in relation to molecular biological information is evaluated. A total of 331 consecutive liposarcoma patients were evaluated for the added value of histological review at time of referral. Subsequently, cases were reclassified with implementation of present-day molecular information. For all patients, complete data on staging, treatment, and follow-up were available. Results Upon histological revision, 15/54 (28%) diagnoses were reclassified in the first decade, 14/65 (22%) in the second, and 14/53 (26%) in the last decade. Molecular biological analysis enabled well-differentiated liposarcoma with or without dedifferentiated component to be better recognized as such and distinguished from myxoid liposarcoma and pleomorphic liposarcoma. Inclusion of cytogenetic information resulted in reclassification after revision in 4/18 (22%) cases in the first decade, 10/38 (26%) cases in the second decade, and 19/75 (25%) cases in the last decade. Conclusions This study indicates that liposarcomas are heterogeneous tumors. Expert assessment and implementation of molecular biological analysis are valuable for adequate classification as a basis for treatment decisions.

Details

Language :
English
Database :
OpenAIRE
Journal :
Annals of Surgical Oncology, Annals of Surgical Oncology, 17(3), 686-693
Accession number :
edsair.doi.dedup.....8c24847c6737a0592c77390e07fe930b