| Literature DB >> 20735841 |
Bruno Massidda1, Mariacristina Sini, Mario Budroni, Francesco Atzori, Mariacristina Deidda, Valeria Pusceddu, Mariateresa Perra, Paola Sirigu, Antonio Cossu, Grazia Palomba, Mariateresa Ionta, Giuseppe Palmieri.
Abstract
BACKGROUND: Prognostic factors in patients who are diagnosed with T4 breast carcinomas are widely awaited. We here evaluated the clinical role of some molecular alterations involved in tumorigenesis in a well-characterized cohort of T4 breast cancer patients with a long follow-up period.Entities:
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Year: 2010 PMID: 20735841 PMCID: PMC2936331 DOI: 10.1186/1471-2407-10-458
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Patient and tumour characteristics at baseline
| N | % | |
|---|---|---|
| <50 | 43 | |
| >50 | 57 | |
| T4abc | 72 | |
| T4d | 28 | |
| N0 | 0 | |
| N+ | 100 | |
| ER+/ER- | 53/47 | |
| PR+/PR- | 32/68 | |
| Ki67+ | 32 | |
| Ki67- | 51 | |
| unknown | 17 | |
| G2/G3 | 72/28 | |
| HER2+ | 19 | |
| HER2- | 81 | |
Comparison between IHC or FISH results and histopathological parameters
| Characteristics | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| p53 | pERK1-2 | survivin | ||||||||
| positive cases | % | positive cases | % | positive cases | % | positive cases | % | positive cases | % | |
| 23 | 15 | 25 | 9 | 40 | ||||||
| negative (N = 20) | 10 | 5 | 20 | 10 | 45 | |||||
| positive (N = 24) | 29 | 11 | 21 | 8 | 29 | |||||
| negative (N = 28) | 18 | 7 | 18 | 7 | 46 | |||||
| positive (N = 16) | 25 | 25 | 25 | 12 | 19 | |||||
| negative (N = 26) | 15 | 12 | 15 | 15 | 42 | |||||
| positive (N = 16) | 25 | 12 | 31 | 0 | 31 | |||||
| 0-1 (N = 16) | 31 | 19 | 12 | 12 | 56 | |||||
| 2-3 (N = 37) | 19 | 14 | 30 | 8 | 32 | |||||
Figure 1Immunohistochemistry and FISH analysis. (Up-middle) Typical examples of T4 breast carcinoma tissue sections positive (left) or negative (right) for p53, pERK1-2, and survivin protein expression. (Bottom) Typical examples of double-colour FISH results. Nuclei extracted from paraffin-embedded tissues after hybridization with probes specific for cyclinD1 or h-prune loci (red signals) and control chromosome centromeres (green signals).
Comparison between histopathological or molecular parameters and response to therapy
| A | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Complete response | 43 | 43 | 71 | 100 | |||||||||||
| Partial response | 55 | 38 | 33 | 73 | |||||||||||
| < Partial response | 62 | 25 | 25 | 25 | |||||||||||
| pCR | 57 | 43 | 71 | 87 | |||||||||||
| <pCR | 54 | 35 | 31 | 67 | |||||||||||
| Complete response | 12 | 12 | 0 | 12 | 12 | ||||||||||
| Partial response | 22 | 14 | 8 | 27 | 41 | ||||||||||
| < Partial response | 37 | 25 | 25 | 25 | 62 | ||||||||||
| pCR | 25 | 12 | 0 | 25 | 37 | ||||||||||
| <pCR | 22 | 16 | 11 | 24 | 40 | ||||||||||
pCR, pathological complete response
Figure 2Comparison between molecular markers and survivals among T4 breast cancer patients. (A) Overall survival curves based on the Kaplan-Meier method. Statistical comparison between observed and predicted survival data for each subset of patients [with (+) or without (-) alterations in expression of p53, pERK1-2 and survivin proteins or in copy number of h-prune and cyclinD1 genes) is reported. (B) Median disease-free and overall survivals (DFS and OS, respectively), expressed in months, for each subset of patients.
Multivariate analysis of different parameters for overall survival
| 0.75 | 0.26-2.12 | 0.591 | |
| 2.37 | 0.85-7.03 | 0.078 | |
| pERK1-2 | 1.08 | 0.37-3.18 | 0.875 |
| p53 | 0.74 | 0.34-1.58 | 0.443 |
| estrogen receptor (ER) | 1.88 | 0.57-6.91 | 0.281 |
| progesterone receptor (PR) | 1.33 | 0.36-4.84 | 0.639 |
| proliferation index (Ki67) | 1.81 | 0.48-6.85 | 0.377 |
| HER2 | 3.24 | 0.96-14.5 | 0.059 |
Stratified by age. CI, confidence interval. In bold, significant values.