A gene expression signature associated with metastatic outcome in human leiomyosarcomas.
Metastasis is a major factor associated with poor prognosis in cancer, but little is known of its molecular mechanisms. Although the clinical behavior of soft tissue sarcomas is highly variable, few reliable determinants of outcome have been identified. New markers that predict clinical outcome, in particular the ability of primary tumors to develop metastatic tumors, are urgently needed. Here, we have chosen leiomyosarcoma as a model for examining the relationship between gene expression profile and the development of metastasis in soft tissue sarcomas. Using cDNA microarray, we have identified a gene expression signature associated with metastasis in sarcoma that allowed prediction of the future development of metastases of primary tumors (Kaplan-Meier analysis P = 0.001). Our finding may aid the tailoring of therapy for individual sarcoma patients, where the aggressiveness of treatment is affected by the predicted outcome of disease.
Lee
Yin-Fai
YF
The Male Urological Cancer Research Centre, Institute of Cancer Research, Surrey, United Kingdom. Yin-Fai-Lee@icr.ac.uk
John
Megan
M
Falconer
Alison
A
Edwards
Sandra
S
Clark
Jeremy
J
Flohr
Penny
P
Roe
Toby
T
Wang
Rubin
R
Shipley
Janet
J
Grimer
Robert J
RJ
Mangham
D Chas
DC
Thomas
J Meirion
JM
Fisher
Cyril
C
Judson
Ian
I
Cooper
Colin S
CS
D020869:Gene Expression Profiling; D006801:Humans; D007890:Leiomyosarcoma / Q000235:genetics* / Q000378:metabolism / Q000473:pathology / Q000556:secondary*; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D012509:Sarcoma / Q000235:genetics* / Q000378:metabolism / Q000473:pathology / Q000556:secondary*