Literature DB >> 7749157

Genetic evolution of breast cancers. III: Age-dependent variations in the correlations between biological indicators of prognosis.

Y Remvikos1, H Magdelenat, B Dutrillaux.   

Abstract

The influence of age on the occurrence of phenotypic features of prognostic significance was studied in relation to the DNA index values, measured on DNA histograms from a series of 1019 breast cancer patients. Globally, the distributions of all parameters showed variations with age, the most prominent being the decreases in the percentage of estrogen receptor-negative and high proliferative activity cases with increasing age. When analyzed according to the DNA index classes, all parameters were found to some extent linked with the stage of genetic evolution. However, the associations varied with age, defining two extreme groups. The younger patients (less than 40 years) presented a more complete acquisition of the 'aggressive' phenotype and near-triploid tumors from this group were very frequently steroid hormone receptor-negative, high proliferation, and grade III. By contrast, near-triploid tumors in patients above 65 presented relatively frequently as receptor-positive, low proliferative activity, and even grade I. The correlation of the proliferative status with steroid hormone receptor content led to similar conclusions, high proliferation being more strongly correlated with the absence of estrogen and progesterone receptors in younger patients. Interestingly, the association between high proliferation and negative progesterone receptors was much weaker in patients above 55. Our results suggest that the currently established biological prognostic factors, including DNA profile, steroid hormone receptors, and histopathological grade, show patterns of association which vary with age. Of these, only progesterone receptor could be influenced by menopausal status. These findings have to be taken into consideration for future prognostic factor-related treatment decisions, but also for future methodological improvements of multivariate survival analyses.

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Year:  1995        PMID: 7749157     DOI: 10.1007/BF00666488

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  36 in total

1.  Breast cancer genetic evolution: I. Data from cytogenetics and DNA content.

Authors:  B Dutrillaux; M Gerbault-Seureau; Y Remvikos; B Zafrani; M Prieur
Journal:  Breast Cancer Res Treat       Date:  1991-11       Impact factor: 4.872

2.  Age as prognostic factor in premenopausal breast carcinoma.

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Journal:  Lancet       Date:  1993-04-24       Impact factor: 79.321

3.  Prognostic significance of DNA-ploidy in a series of 690 primary breast cancer patients.

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Journal:  Int J Cancer       Date:  1990-01-15       Impact factor: 7.396

4.  Prognostic value of steroid hormone receptors: multivariate analysis of systemically untreated patients with node negative primary breast cancer.

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Journal:  Cancer Res       Date:  1987-11-15       Impact factor: 12.701

5.  Indicators of prognosis in node-negative breast cancer.

Authors:  H Sigurdsson; B Baldetorp; A Borg; M Dalberg; M Fernö; D Killander; H Olsson
Journal:  N Engl J Med       Date:  1990-04-12       Impact factor: 91.245

6.  Cell kinetics as a prognostic indicator in node-negative breast cancer.

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Journal:  Eur J Cancer Clin Oncol       Date:  1989-08

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Journal:  NCI Monogr       Date:  1986

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Journal:  J Natl Cancer Inst       Date:  1981-08       Impact factor: 13.506

9.  Relationship between ploidy and steroid hormone receptors in primary invasive breast cancer.

Authors:  D J Horsfall; W D Tilley; S R Orell; V R Marshall; E L Cant
Journal:  Br J Cancer       Date:  1986-01       Impact factor: 7.640

10.  Breast cancer proliferation measured on cytological samples: a study by flow cytometry of S-phase fractions and BrdU incorporation.

Authors:  Y Remvikos; P Vielh; E Padoy; B Benyahia; N Voillemot; H Magdelénat
Journal:  Br J Cancer       Date:  1991-09       Impact factor: 7.640

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  8 in total

1.  Qualitative age interactions in breast cancer studies: mind the gap.

Authors:  William F Anderson; Ismail Jatoi; Mark E Sherman
Journal:  J Clin Oncol       Date:  2009-10-13       Impact factor: 44.544

2.  Comparison of frequencies and prognostic effect of molecular subtypes between young and elderly breast cancer patients.

Authors:  Esther M de Kruijf; Esther Bastiaannet; Francesca Rubertá; Anton J M de Craen; Peter J K Kuppen; Vincent T H B M Smit; Cornelis J H van de Velde; Gerrit Jan Liefers
Journal:  Mol Oncol       Date:  2014-04-08       Impact factor: 6.603

3.  Factors influencing the effect of age on prognosis in breast cancer: population based study.

Authors:  N Kroman; M B Jensen; J Wohlfahrt; H T Mouridsen; P K Andersen; M Melbye
Journal:  BMJ       Date:  2000-02-19

4.  Prognostic role of oestrogen and progesterone receptors in patients with breast cancer: relation to age and lymph node status.

Authors:  K Collett; F Hartveit; R Skjaerven; B O Maehle
Journal:  J Clin Pathol       Date:  1996-11       Impact factor: 3.411

5.  Serum sFas and tumor tissue FasL negatively correlated with survival in Egyptian patients suffering from breast ductal carcinoma.

Authors:  Ashgan I El-Sarha; Gehan M Magour; Sameh M Zaki; Mohamed Y El-Sammak
Journal:  Pathol Oncol Res       Date:  2008-11-18       Impact factor: 3.201

6.  Age determines the prognostic role of the cancer stem cell marker aldehyde dehydrogenase-1 in breast cancer.

Authors:  J Sven D Mieog; Esther M de Kruijf; Esther Bastiaannet; Peter Jk Kuppen; Anita Sajet; Anton Jm de Craen; Vincent Thbm Smit; Cornelis Jh van de Velde; Gerrit-Jan Liefers
Journal:  BMC Cancer       Date:  2012-01-26       Impact factor: 4.430

7.  Early-onset breast cancer--histopathological and prognostic considerations.

Authors:  J Kollias; C W Elston; I O Ellis; J F Robertson; R W Blamey
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

8.  Differences in clinicopathologic features and subtype distribution of invasive breast cancer between elderly and non-elderly women.

Authors:  Toshiaki Utsumi; Naomi Kobayashi; Kaori Ushimado; Makoto Kuroda
Journal:  Fujita Med J       Date:  2020-10-10
  8 in total

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