Flow cytometric analysis of DNA ploidy and S-phase fraction in primary localized myxofibrosarcoma: Correlations with clinicopathological factors, Skp2 expression, and patient survival
Journal
Annals of Surgical Oncology
Journal Volume
15
Journal Issue
8
Pages
2239-2249
Date Issued
2008
Author(s)
Huang H.-Y.
Huang W.-W.
Wu J.-M.
Huang C.-K.
Wang J.-W.
Eng H.-L.
Lin C.-N.
Chou S.-C.
Yu S.-C.
Fang F.-M.
Li C.-F.
Abstract
Background: Histological assessment for prognostication of myxofibrosarcomas remains challenging. We previously reported independent prognostic value of Skp2, an oncoprotein promoting S-phase progression (Clin Cancer Res 2006;12:487-98). Methods: We evaluated S-phase fraction (SPF) and ploidy of myxofibrosarcomas and the association between SPF and Skp2. Flow cytometric findings were analyzed for 75 cases and correlated with clinicopathological factors, Skp2 labeling index (LI), metastasis-free survival (MeFS), and overall survival (OS). Results: Forty-seven and 28 cases were classified as diploid and nondiploid, respectively. High SPF (?20%) was detected in 32 of 61 interpretable cases. Skp2 overexpression (LI ? 10%) was seen in 36 of 72 cases with scoring. Nondiploidy correlated with higher French Federation of Cancer Centers (FNCLCC) grades (P = .006), remarkable necrosis (P = .010), and Skp2 overexpression (P = .018). Noticeably, SPF was significantly related to Skp2 LI (P < .001, r = .458), FNCLCC grade, American Joint Committee on Cancer stage, and mitotic rate. Nondiploidy predicted shorter OS (P = .0045) and MeFS (P = .0489), whereas SPF ? 20% was only associated with inferior MeFS (P = .0252). In multivariate analyses, nondiploidy independently correlated with both OS (P = .020, RR = 3.337) and MeFS (P = .013, RR = 5.780), together with Skp2 overexpression (P = .014 for OS; P = .017 for MeFS) and disease-positive margins (P = .004 for OS; P = .002 for MeFS). Conclusion: Skp2 promotes S-phase progression in myxofibrosarcomas. SPF provides no independent prognostic usefulness; it is probably overshadowed by Skp2. Nondiploidy adds another predictive value to Skp2 overexpression and disease-positive margins in prognostication. ? 2008 Society of Surgical Oncology.
SDGs
Other Subjects
adult; aged; article; cancer grading; cancer staging; cancer survival; cell cycle S phase; correlation analysis; diploidy; disease free survival; female; fibromyxosarcoma; flow cytometry; follow up; human; human tissue; labeling index; log rank test; major clinical study; male; mitosis rate; overall survival; parameter; pathology; ploidy; prognosis; proportional hazards model; protein expression; s phase fraction; soft tissue sarcoma; tumor necrosis; univariate analysis; Adult; Aged; Aneuploidy; Disease-Free Survival; DNA; Female; Fibrosarcoma; Flow Cytometry; Gene Expression; Humans; Male; Middle Aged; Myxosarcoma; Predictive Value of Tests; Prognosis; S Phase; S-Phase Kinase-Associated Proteins; Tumor Markers, Biological
Type
journal article