Literature DB >> 12751373

Predictive value of tumour cell proliferation in locally advanced breast cancer treated with neoadjuvant chemotherapy.

T Aas1, S Geisler, G E Eide, D F Haugen, J E Varhaug, A M Bassøe, T Thorsen, H Berntsen, A L Børresen-Dale, L A Akslen, P E Lønning.   

Abstract

We previously reported that defects in apoptotic pathways (mutations in the TP53 gene) predicted resistance to doxorubicin monotherapy. The aim of this study was to evaluate whether cell proliferation, as assessed by mitotic frequency and Ki-67 levels, may provide additional predictive information in the same tumours and to assess any potential correlations between these markers and mutations in the TP53 gene and erbB-2 overexpression. Surgical specimens were obtained from ninety locally advanced breast cancers before commencing primary chemotherapy consisting of weekly doxorubicin (14 mg/m2) for 16 weeks. 38% of the patients had a partial response (PR) to therapy, 52% had stable disease (SD) while 10% had progressive disease (PD). Univariate analysis showed a significant association between a high cell proliferation rate (expressed as a high mitotic frequency) and resistance to doxorubicin (P = 0.001). Further analyses revealed this association to be limited to the subgroup of tumour expressing wild-type TP53 (P = 0.016), and TP53 mutation status was the only factor predicting drug resistance in the multivariate analyses. The finding that a high mitotic frequency, as well as a high Ki-67 staining, correlated to TP53 mutations (P = 0.001 for both), suggests TP53 mutations are the key predictor of drug resistance, although cell proliferation may play an additional role in tumours harbouring wild-type TP53. Regarding overall (OS) and relapse-free survival (RFS), multivariate analyses (Cox' proportional hazards regression) revealed a high histological grade and negative oestrogen receptor (ER) status to be the variables that were most strongly related to breast cancer death (P = 0.001 and P = 0.001, respectively). A key reason for this difference with respect to the factors predicting chemotherapy resistance could be due to the adjuvant use of tamoxifen in all patients harbouring ER-positive tumours.

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Year:  2003        PMID: 12751373     DOI: 10.1016/s0959-8049(02)00732-3

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  14 in total

Review 1.  Molecular basis for therapy resistance.

Authors:  Per E Lønning
Journal:  Mol Oncol       Date:  2010-04-24       Impact factor: 6.603

2.  Pathology parameters and adjuvant tamoxifen response in a randomised premenopausal breast cancer trial.

Authors:  K Jirström; L Rydén; L Anagnostaki; B Nordenskjöld; O Stål; S Thorstenson; G Chebil; P-E Jönsson; M Fernö; G Landberg
Journal:  J Clin Pathol       Date:  2005-11       Impact factor: 3.411

3.  High-grade breast cancers include both highly sensitive and highly resistant subsets to cytotoxic chemotherapy.

Authors:  Tomo Osako; Rie Horii; Masaaki Matsuura; Kaoru Domoto; Yoshimi Ide; Yumi Miyagi; Shunji Takahashi; Yoshinori Ito; Takuji Iwase; Futoshi Akiyama
Journal:  J Cancer Res Clin Oncol       Date:  2010-02-09       Impact factor: 4.553

4.  Immunohistochemical assessment of primary breast tumors and metachronous brain metastases, with particular regard to differences in the expression of biological markers and prognosis.

Authors:  Yawara Omoto; Masafumi Kurosumi; Yasuo Hozumi; Hanako Oba; Kaori Kawanowa; Hiroyuki Takei; Yoshikazu Yasuda
Journal:  Exp Ther Med       Date:  2010-07-01       Impact factor: 2.447

5.  Her-2/neu expression as a predictive factor for response to anthracycline-based chemotherapy in a mexican population of locally advanced breast cancer patients.

Authors:  David Muñoz-Gonzalez; Isabel Zeichner-Gancz; Myrna Candelaria; Maria Teresa Ramirez-Ugalde; Manuel Perez-Sanchez; Guadalupe Cervantes-Vazquez; David Cantu-de Leon; Arcelia Mora-Tizcareño; Julio Leonor-Ortíz
Journal:  Med Oncol       Date:  2005       Impact factor: 3.064

6.  Value of TP53 status for predicting response to neoadjuvant chemotherapy in breast cancer: a meta-analysis.

Authors:  Min-Bin Chen; Ya-Qun Zhu; Jun-Ying Xu; Li-Qiang Wang; Chao-Ying Liu; Zhang-Yi Ji; Pei-Hua Lu
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

7.  Predictive and prognostic impact of TP53 mutations and MDM2 promoter genotype in primary breast cancer patients treated with epirubicin or paclitaxel.

Authors:  Ranjan Chrisanthar; Stian Knappskog; Erik Løkkevik; Gun Anker; Bjørn Ostenstad; Steinar Lundgren; Terje Risberg; Ingvil Mjaaland; Gudbrand Skjønsberg; Turid Aas; Ellen Schlichting; Hans E Fjösne; Arne Nysted; Johan Richard Lillehaug; Per Eystein Lønning
Journal:  PLoS One       Date:  2011-04-27       Impact factor: 3.240

8.  Controlled breast cancer microarrays for the deconvolution of cellular multilayering and density effects upon drug responses.

Authors:  Maria Håkanson; Stefan Kobel; Matthias P Lutolf; Marcus Textor; Edna Cukierman; Mirren Charnley
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

9.  Factors that predict early treatment failure for patients with locally advanced (T4) breast cancer.

Authors:  E Montagna; V Bagnardi; N Rotmensz; J Rodriguez; P Veronesi; A Luini; M Intra; E Scarano; A Cardillo; R Torrisi; G Viale; A Goldhirsch; M Colleoni
Journal:  Br J Cancer       Date:  2008-05-27       Impact factor: 7.640

10.  Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy.

Authors:  D J Manton; A Chaturvedi; A Hubbard; M J Lind; M Lowry; A Maraveyas; M D Pickles; D J Tozer; L W Turnbull
Journal:  Br J Cancer       Date:  2006-02-13       Impact factor: 7.640

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