Cell cycle analysis of 932 flow cytometric DNA histograms of fresh frozen breast carcinoma material: Correlations between flow cytometric, clinical, and pathologic variables

Elisabeth Bergers, Paul J. Van Diest, Jan P A Baak

Research output: Contribution to journalArticle

Abstract

BACKGROUND. Confusing data have been presented for breast cancer patients on correlations between DNA ploidy and the percentage of S-phase cells and other prognostic variables. The aim of this study was to compare DNA ploidy classification and cell cycle variables with clinical, classic, and quantitative pathologic variables and clinical variables in a large group of patients. METHODS. DNA ploidy and cell cycle variables were extracted from MultiCycle® (Phoenix Flow Systems, San Diego, CA) interpreted flow cytometric DNA histograms of fresh frozen material from 932 breast cancer patients and compared with clinical (age, hormonal status), classic pathology (lymph node status, tumor size and type), and quantitative pathologic variables (steroid receptor status, mitotic activity index [MAI], mean nuclear area [MNA]). RESULTS. The DNA ploidy correlated significantly with MAI, MNA, steroid receptor status, and tumor type. No significant correlations were found with tumor size, lymph node status, age, and hormonal status. The first DNA index correlated significantly with MAI, MNA, and steroid receptor status. The percentage of S-phase cells significantly correlated with MAI, MNA, steroid receptor status, and lymph node status. CONCLUSIONS. DNA index and DNA ploidy, as markers of genetic instability, correlated well with differentiation and proliferation markers and less well with lymph node status and tumor size as markers of metastatic potential and duration of disease. The percentage of S-phase cells was not independent of the percentage of differentiation markers and did not correlate strongly with mitotic activity. This indicates that the percentage of S-phase cells and the mitotic activity partially reflect different proliferative properties.

Original languageEnglish (US)
Pages (from-to)2258-2266
Number of pages9
JournalCancer
Volume77
Issue number11
DOIs
StatePublished - Jun 1 1996
Externally publishedYes

Fingerprint

Cell Cycle
Ploidies
Breast Neoplasms
Mitotic Index
Steroid Receptors
DNA
S Phase
Lymph Nodes
Differentiation Antigens
Neoplasms
Cytoplasmic and Nuclear Receptors
Genetic Markers
Pathology

Keywords

  • breast carcinoma
  • cell cycle variables
  • clinicopathologic variables
  • flow cytometry

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

Cite this

Cell cycle analysis of 932 flow cytometric DNA histograms of fresh frozen breast carcinoma material : Correlations between flow cytometric, clinical, and pathologic variables. / Bergers, Elisabeth; Van Diest, Paul J.; Baak, Jan P A.

In: Cancer, Vol. 77, No. 11, 01.06.1996, p. 2258-2266.

Research output: Contribution to journalArticle

@article{e6ede07608214e2086ed22a0f4eede2c,
title = "Cell cycle analysis of 932 flow cytometric DNA histograms of fresh frozen breast carcinoma material: Correlations between flow cytometric, clinical, and pathologic variables",
abstract = "BACKGROUND. Confusing data have been presented for breast cancer patients on correlations between DNA ploidy and the percentage of S-phase cells and other prognostic variables. The aim of this study was to compare DNA ploidy classification and cell cycle variables with clinical, classic, and quantitative pathologic variables and clinical variables in a large group of patients. METHODS. DNA ploidy and cell cycle variables were extracted from MultiCycle{\circledR} (Phoenix Flow Systems, San Diego, CA) interpreted flow cytometric DNA histograms of fresh frozen material from 932 breast cancer patients and compared with clinical (age, hormonal status), classic pathology (lymph node status, tumor size and type), and quantitative pathologic variables (steroid receptor status, mitotic activity index [MAI], mean nuclear area [MNA]). RESULTS. The DNA ploidy correlated significantly with MAI, MNA, steroid receptor status, and tumor type. No significant correlations were found with tumor size, lymph node status, age, and hormonal status. The first DNA index correlated significantly with MAI, MNA, and steroid receptor status. The percentage of S-phase cells significantly correlated with MAI, MNA, steroid receptor status, and lymph node status. CONCLUSIONS. DNA index and DNA ploidy, as markers of genetic instability, correlated well with differentiation and proliferation markers and less well with lymph node status and tumor size as markers of metastatic potential and duration of disease. The percentage of S-phase cells was not independent of the percentage of differentiation markers and did not correlate strongly with mitotic activity. This indicates that the percentage of S-phase cells and the mitotic activity partially reflect different proliferative properties.",
keywords = "breast carcinoma, cell cycle variables, clinicopathologic variables, flow cytometry",
author = "Elisabeth Bergers and {Van Diest}, {Paul J.} and Baak, {Jan P A}",
year = "1996",
month = "6",
day = "1",
doi = "10.1002/(SICI)1097-0142(19960601)77:11<2258::AID-CNCR12>3.0.CO;2-W",
language = "English (US)",
volume = "77",
pages = "2258--2266",
journal = "Cancer",
issn = "0008-543X",
publisher = "John Wiley and Sons Inc.",
number = "11",

}

TY - JOUR

T1 - Cell cycle analysis of 932 flow cytometric DNA histograms of fresh frozen breast carcinoma material

T2 - Correlations between flow cytometric, clinical, and pathologic variables

AU - Bergers, Elisabeth

AU - Van Diest, Paul J.

AU - Baak, Jan P A

PY - 1996/6/1

Y1 - 1996/6/1

N2 - BACKGROUND. Confusing data have been presented for breast cancer patients on correlations between DNA ploidy and the percentage of S-phase cells and other prognostic variables. The aim of this study was to compare DNA ploidy classification and cell cycle variables with clinical, classic, and quantitative pathologic variables and clinical variables in a large group of patients. METHODS. DNA ploidy and cell cycle variables were extracted from MultiCycle® (Phoenix Flow Systems, San Diego, CA) interpreted flow cytometric DNA histograms of fresh frozen material from 932 breast cancer patients and compared with clinical (age, hormonal status), classic pathology (lymph node status, tumor size and type), and quantitative pathologic variables (steroid receptor status, mitotic activity index [MAI], mean nuclear area [MNA]). RESULTS. The DNA ploidy correlated significantly with MAI, MNA, steroid receptor status, and tumor type. No significant correlations were found with tumor size, lymph node status, age, and hormonal status. The first DNA index correlated significantly with MAI, MNA, and steroid receptor status. The percentage of S-phase cells significantly correlated with MAI, MNA, steroid receptor status, and lymph node status. CONCLUSIONS. DNA index and DNA ploidy, as markers of genetic instability, correlated well with differentiation and proliferation markers and less well with lymph node status and tumor size as markers of metastatic potential and duration of disease. The percentage of S-phase cells was not independent of the percentage of differentiation markers and did not correlate strongly with mitotic activity. This indicates that the percentage of S-phase cells and the mitotic activity partially reflect different proliferative properties.

AB - BACKGROUND. Confusing data have been presented for breast cancer patients on correlations between DNA ploidy and the percentage of S-phase cells and other prognostic variables. The aim of this study was to compare DNA ploidy classification and cell cycle variables with clinical, classic, and quantitative pathologic variables and clinical variables in a large group of patients. METHODS. DNA ploidy and cell cycle variables were extracted from MultiCycle® (Phoenix Flow Systems, San Diego, CA) interpreted flow cytometric DNA histograms of fresh frozen material from 932 breast cancer patients and compared with clinical (age, hormonal status), classic pathology (lymph node status, tumor size and type), and quantitative pathologic variables (steroid receptor status, mitotic activity index [MAI], mean nuclear area [MNA]). RESULTS. The DNA ploidy correlated significantly with MAI, MNA, steroid receptor status, and tumor type. No significant correlations were found with tumor size, lymph node status, age, and hormonal status. The first DNA index correlated significantly with MAI, MNA, and steroid receptor status. The percentage of S-phase cells significantly correlated with MAI, MNA, steroid receptor status, and lymph node status. CONCLUSIONS. DNA index and DNA ploidy, as markers of genetic instability, correlated well with differentiation and proliferation markers and less well with lymph node status and tumor size as markers of metastatic potential and duration of disease. The percentage of S-phase cells was not independent of the percentage of differentiation markers and did not correlate strongly with mitotic activity. This indicates that the percentage of S-phase cells and the mitotic activity partially reflect different proliferative properties.

KW - breast carcinoma

KW - cell cycle variables

KW - clinicopathologic variables

KW - flow cytometry

UR - http://www.scopus.com/inward/record.url?scp=0029894216&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029894216&partnerID=8YFLogxK

U2 - 10.1002/(SICI)1097-0142(19960601)77:11<2258::AID-CNCR12>3.0.CO;2-W

DO - 10.1002/(SICI)1097-0142(19960601)77:11<2258::AID-CNCR12>3.0.CO;2-W

M3 - Article

C2 - 8635093

AN - SCOPUS:0029894216

VL - 77

SP - 2258

EP - 2266

JO - Cancer

JF - Cancer

SN - 0008-543X

IS - 11

ER -