DNA ploidy in soft tissue sarcoma: Comparison of flow and image cytometry with clinical follow-up in 93 patients

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Abstract

In soft tissue sarcoma, the prognostic importance of DNA ploidy status is limited. One possible explanation may be technical; small nondiploid stemlines will he diluted in relation to the presence of normal diploid cells and may not be detected by flow cytometry (FCM). We assessed DNA ploidy status in 93 tumors with both FCM and image cytometry (ICM). ICM may permit the exclusion of nonrelevant cells. The ability of the two methods to detect nondiploid stemlines was compared, as were the prognostic consequences. The patients (54 males) had a median age of 69 years. Surgical procedures were performed on all patients. None of the patients had received preoperative radiotherapy or chemotherapy. FCM and ICM were performed with standard methods. The prognostic value was assessed with univariate and multivariate analysis. In 82 of the 93 tumors, a concordant ploidy status by FCM and ICM was found. In 5 FCM type 1-2 tumors (diploid), the identification of nondiploid stemlines by ICM did not influence the metastatic rates. Increasing tumor size, histotype other than liposarcoma, increasing malignancy grade, tumor necrosis, and ICM nondiploidy were univariate prognostic factors for metastasis. In a multivariate analysis, only tumor size larger than 9 cm was a prognostic factor. In about 10% of the tumors, a discrepancy between FCM and ICM ploidy status was found, but we could not find a consistent prognostic consequence of this. Neither FCM nor ICM ploidy status was an independent prognostic factor. (C) 2002 Wiley-Liss, Inc.

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Authors
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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology

Keywords

  • image cytometry, prognosis, flow cytometry, soft tissue sarcoma, DNA
Original languageEnglish
Pages (from-to)19-24
JournalCytometry
Volume50
Issue number1
Publication statusPublished - 2002
Publication categoryResearch
Peer-reviewedYes

Bibliographic note

The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Pathology, (Lund) (013030000), Oncology, MV (013035000), Department of Orthopaedics (Lund) (013028000)