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Improving the prognostic value of DNA flow cytometry in breast cancer by combining DNA index and S‐phase fraction: A proposed classification of DNA histograms in breast cancer
Author(s) -
Kallioniemi OlliPekka,
Blanco Guillermo,
Alavaikko Martti,
Hietanen Tenho,
Mattila Jorma,
Lauslahti Kalevi,
Lehtinen Matti,
Koivula Timo
Publication year - 1988
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/1097-0142(19881115)62:10<2183::aid-cncr2820621019>3.0.co;2-b
Subject(s) - breast cancer , dna , cancer , aneuploidy , oncology , proportional hazards model , medicine , microbiology and biotechnology , biology , genetics , chromosome , gene
To optimize the prognostic value of DNA flow cytometry in breast cancer the authors calculated several parameters from the DNA histogram, including the DNA index, the size and number of aneuploid peaks as well as S‐phase and G2/M‐phase cell cycle fractions. Of these, DNA index and S‐phase fraction (SPF) proved to be the most valuable prognostic indices. DNA aneuploidy was associated with a threefold risk of death as compared to DNA diploidy ( P < 0.0001). The highest risk of death was associated with hypertetraploid (>2.20) DNA index, whereas a tetraploid DNA index (1.80–2.20) was associated with a relatively low risk. The SPF had significant additional prognostic value in both DNA diploid ( P = 0.0002) and DNA aneuploid ( P = 0.02) tumors. By combining DNA index and SPF the authors defined three types of DNA histograms, which were associated with favorable, intermediate, and poor prognosis of the patients. DNA diploidy together with low (<7%) SPF (type I DNA histogram) was associated with very favorable prognosis, whereas DNA aneuploidy with high DNA index (>2.20) or high (>12%) SPF (type III DNA histogram) was related to the worst prognosis with approximately eight‐fold relative risk of death. In a Cox multivariate regression analysis the type of DNA histogram was an independent and most powerful prognostic indicator in breast cancer. The other independent factors in the Cox analysis were primary tumor size, nodal status, and progesterone receptor status.