DNA and cell cycle analysis as prognostic indicators in breast tumors revisited

C B Bagwell; G M Clark; F Spyratos; A Chassevent; Pär-Ola Bendahl; O Stal; D Killander; M L Jourdan; S Romain; B Hunsberger; S Wright; Bo Baldetorp

DNA and cell cycle analysis as prognostic indicators in breast tumors revisited

C B Bagwell, G M Clark, F Spyratos, A Chassevent, Pär-Ola Bendahl, O Stal, D Killander, M L Jourdan, S Romain, B Hunsberger, S Wright, Bo Baldetorp

Breastcancer-genetics

Research output: Contribution to journal › Article › peer-review

Abstract

Both DNA ploidy and S-phase ploidy are promising prognostic factors for node-negative breast cancer patients. Based largely on the analysis of one large study, much of the reported problems with these factors have been caused by some unappreciated complexities in categorizing DNA ploidy into low- and high-risk groups and the lack of some necessary adjustments to eliminate unwanted correlations between DNA S-phase and ploidy. When both DNA ploidy and S-phase are compensated properly, they become independent prognostic markers, forming a powerful prognostic model.

Original language	English
Pages (from-to)	875-895
Journal	Clinics in Laboratory Medicine
Volume	21
Issue number	4
Publication status	Published - 2001

Subject classification (UKÄ)

Cancer and Oncology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "DNA and cell cycle analysis as prognostic indicators in breast tumors revisited",

abstract = "Both DNA ploidy and S-phase ploidy are promising prognostic factors for node-negative breast cancer patients. Based largely on the analysis of one large study, much of the reported problems with these factors have been caused by some unappreciated complexities in categorizing DNA ploidy into low- and high-risk groups and the lack of some necessary adjustments to eliminate unwanted correlations between DNA S-phase and ploidy. When both DNA ploidy and S-phase are compensated properly, they become independent prognostic markers, forming a powerful prognostic model.",

author = "Bagwell, {C B} and Clark, {G M} and F Spyratos and A Chassevent and P{\"a}r-Ola Bendahl and O Stal and D Killander and Jourdan, {M L} and S Romain and B Hunsberger and S Wright and Bo Baldetorp",

year = "2001",

language = "English",

volume = "21",

pages = "875--895",

journal = "Clinics in Laboratory Medicine",

issn = "0272-2712",

publisher = "W.B. Saunders",

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TY - JOUR

T1 - DNA and cell cycle analysis as prognostic indicators in breast tumors revisited

AU - Bagwell, C B

AU - Clark, G M

AU - Spyratos, F

AU - Chassevent, A

AU - Bendahl, Pär-Ola

AU - Stal, O

AU - Killander, D

AU - Jourdan, M L

AU - Romain, S

AU - Hunsberger, B

AU - Wright, S

AU - Baldetorp, Bo

PY - 2001

Y1 - 2001

N2 - Both DNA ploidy and S-phase ploidy are promising prognostic factors for node-negative breast cancer patients. Based largely on the analysis of one large study, much of the reported problems with these factors have been caused by some unappreciated complexities in categorizing DNA ploidy into low- and high-risk groups and the lack of some necessary adjustments to eliminate unwanted correlations between DNA S-phase and ploidy. When both DNA ploidy and S-phase are compensated properly, they become independent prognostic markers, forming a powerful prognostic model.

AB - Both DNA ploidy and S-phase ploidy are promising prognostic factors for node-negative breast cancer patients. Based largely on the analysis of one large study, much of the reported problems with these factors have been caused by some unappreciated complexities in categorizing DNA ploidy into low- and high-risk groups and the lack of some necessary adjustments to eliminate unwanted correlations between DNA S-phase and ploidy. When both DNA ploidy and S-phase are compensated properly, they become independent prognostic markers, forming a powerful prognostic model.

M3 - Article

SN - 0272-2712

VL - 21

SP - 875

EP - 895

JO - Clinics in Laboratory Medicine

JF - Clinics in Laboratory Medicine

IS - 4

ER -

DNA and cell cycle analysis as prognostic indicators in breast tumors revisited

Abstract

Subject classification (UKÄ)

UN SDGs

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Cite this