Advertisement
Journal of Clinical Oncology  
Search for:
Limit by:
  Browse by Subject or Issue
Home Search or Browse JCO My JCO Subscriptions Customer Service Site Map

Originally published as JCO Early Release 10.1200/JCO.2007.11.7762 on October 22 2007

Journal of Clinical Oncology, Vol 25, No 33 (November 20), 2007: pp. 5194-5202
© 2007 American Society of Clinical Oncology.

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Save to my personal folders
Right arrow Download to citation manager
Right arrowRights & Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ignatiadis, M.
Right arrow Articles by Mavroudis, D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ignatiadis, M.
Right arrow Articles by Mavroudis, D.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*Breast Cancer
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Different Prognostic Value of Cytokeratin-19 mRNA–Positive Circulating Tumor Cells According to Estrogen Receptor and HER2 Status in Early-Stage Breast Cancer

Michail Ignatiadis, Nikos Xenidis, Maria Perraki, Stella Apostolaki, Eleni Politaki, Maria Kafousi, Efstathios N. Stathopoulos, Aliki Stathopoulou, Evi Lianidou, Grigorios Chlouverakis, Christos Sotiriou, Vassilis Georgoulias, Dimitris Mavroudis

From the Department of Medical Oncology and Pathology, University General Hospital of Heraklion; Laboratory of Tumor Cell Biology and Department of Biostatistics, School of Medicine, University of Crete, Crete; Laboratory of Analytical Chemistry, Department of Chemistry, University of Athens, Greece; and the Functional Genomics and Translational Research Unit, Jules Bordet Institut, Brussels, Belgium

Address reprint requests to Dimitris Mavroudis, MD, PhD, Department of Medical Oncology, University General Hospital of Heraklion, PO Box 1352, Heraklion 711 10, Crete, Greece; e-mail: mavrudis{at}med.uoc.gr


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Purpose To examine the prognostic value of cytokeratin-19 (CK-19) mRNA–positive circulating tumor cells (CTCs) in early-stage breast cancer patients focusing on clinically relevant subgroups based on estrogen receptor (ER) and HER2 expression.

Patients and Methods CK-19 mRNA–positive CTCs were detected by real-time reverse transcriptase polymerase chain reaction in the blood of 444 consecutive, stage I-III, breast cancer patients before initiation of adjuvant chemotherapy. The association between detection of CK-19 mRNA–positive CTCs and clinical outcome was analyzed for patients with ER-positive, ER-negative, triple-negative, HER2-positive, and ER-positive/HER2-negative tumors.

Results CK-19 mRNA–positive CTCs were detected in 181 (40.8%) of 444 patients; 109 (41.9%) of 260 patients with ER-positive tumors; 71 (40.6%) of 175 patients with ER-negative tumors; 27 (35%) of 77 patients with triple-negative tumors; 35 (39.8%) of 88 patients with HER2-positive tumors; and 82 (44.1%) of 186 patients with ER-positive/HER2-negative tumors. After a median follow-up of 53.5 months, patients with CK-19 mRNA–positive CTCs experienced reduced disease-free survival (DFS; P < .001) and overall survival (OS; P < .001); this was mainly observed in patients with ER-negative (P < .001 and P < .001, respectively) but not ER-positive tumors (P = .172 and P = .425, respectively) and in patients with triple-negative (P = .008 and P = .001, respectively) and HER2-positive (P = .023 and P = .040, respectively) but not ER-positive/HER2-negative tumors (P = .210 and P = .578, respectively). In multivariate analysis, the interaction between CK-19 mRNA–positive CTCs and ER status was the strongest independent prognostic factor for reduced DFS (hazard ratio [HR], 3.808; 95% CI, 2.415 to 6.003; P < .001) and OS (HR, 4.172; 95% CI, 2.477 to 9.161; P < .001).

Conclusion Detection of CK-19 mRNA–positive CTCs before adjuvant chemotherapy predicts poor clinical outcome mainly in patients with ER-negative, triple-negative, and HER2-positive early-stage breast cancer.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Different markers have been used for the molecular detection of circulating tumor cells (CTCs). Among them, cytokeratin-19 (CK-19), a cytoskeletal protein expressed on epithelial but not on mesenchymal cells, has been the most extensively studied.1 Although studies using reverse transcriptase polymerase chain reaction (RT-PCR) of CK-19 mRNA as a biomarker for CTCs, have been flawed by problems of illegitimate expression and pseudogene amplification, our group has optimized the assay to improve its sensitivity and specificity.2,3 Thus, using a highly sensitive and specific real-time RT-PCR assay,3 we demonstrated that the detection of CK-19 mRNA–positive CTCs before the initiation of adjuvant chemotherapy was an independent prognostic factor for disease recurrence and decreased survival in patients with node-negative breast cancer.4

Until now the prognostic value of micrometastatic disease has been studied without considering the heterogeneity of breast cancer.4-9 Primary tumor gene expression profiling studies using unsupervised hierarchical clustering analysis have shown that breast tumors are grouped into two main clusters: predominately estrogen receptor (ER) negative and ER positive.10-15 Moreover, from these studies, at least three stable molecular subtypes have been consistently identified, namely the ER-negative/HER2-negative or basal-like, the HER2-positive, and the ER-positive/HER2-negative or luminal subtypes.16

Apart from differences in gene expression profiles, ER-negative and ER-positive tumors differ in their response to treatment and clinical course.17 The last Early Breast Cancer Trialists’ Collaborative Group meta-analysis demonstrated that women with ER-negative early-stage breast cancer experienced relapse more often than those with ER-positive tumors during the first 5 years, while the opposite was true for the period of 5 to 15 years after diagnosis.17 Similarly, the breast cancer molecular subtypes have been reported to differ in their response to treatment and clinical outcome.11,15,16,18

In this study we sought to validate our previous results regarding the prognostic value of peripheral blood CK-19 mRNA–positive cells in an extended cohort of 444 patients with stage I-III breast cancer. Furthermore, considering the heterogeneity of the disease, we investigated the prognostic value of CK-19 mRNA–positive cells, in the ER-negative and ER-positive subgroups and in the three molecular subtypes—namely the ER-negative/HER2–negative/progesterone receptor (PR)-negative or triple-negative, the HER2-positive, and the ER-positive/HER2-negative subtypes.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Patients
From 1997 until 2004, a total of 444 consecutive patients who had all received adjuvant chemotherapy for stage I-III breast cancer at the Department of Medical Oncology of the University Hospital of Heraklion (Crete, Greece) and who had sufficient follow-up (at least 10 months) were included in this study. For every patient enrolled, a complete diagnostic evaluation to exclude the presence of distant metastasis was performed consisting of chest x-rays, mammography, ultrasound of the liver, and a whole-body bone scan. Computed tomography scans and/or magnetic resonance imaging studies were performed if clinically indicated (patients with symptoms, physical signs, or abnormal findings on chest x-ray, ultrasound of the liver, and bone scan). The administration of adjuvant chemotherapy and hormone treatment was decided independently of the CK-19 mRNA detection. All patients included in this study received adjuvant chemotherapy and most of them were treated in the context of research protocols of the Hellenic Oncology Research Group. Adjuvant chemotherapy regimens consisted of either FEC (fluorouracil 700 mg/m2 day 1 plus epirubicin 75 mg/m2 day 1 plus cyclophosphamide 700 mg/m2 day 1 every 3 weeks for six cycles) or EC-T (epirubicin 75 mg/m2 day 1 plus cyclophosphamide 700 mg/m2 day 1 every 3 weeks for four cycles followed by docetaxel 100 mg/m2 day 1 every 3 weeks for four additional cycles) or classical CMF (cyclophosphamide 100 mg/m2 orally days 1 through 14, methotrexate 40 mg/m2 days 1 and 8, and fluorouracil 600 mg/m2 days 1 and 8 every 4 weeks for six cycles). All patients with ER- and/or PR-positive tumors received tamoxifen 20 mg daily for 5 years; premenopausal women also received luteinizing hormone-releasing hormone (LHRH) analogs for 2 years. There were no subgroups of patients who received hormone therapy only or no systemic therapy at all. Patients with HER2-positive tumors did not receive adjuvant trastuzumab because all patients were enrolled before the positive results from the adjuvant trastuzumab trials were reported.19,20 Patient follow-up consisted of clinical examination with laboratory and imaging studies every 3 months for the first 2 years, every 6 months for the next 3 years, and yearly thereafter. All patients signed an informed consent to participate in the study which was approved by the ethics and scientific committees of our institution.

Clinical Samples, Real-Time RT-PCR Assay for CK-19 mRNA
Peripheral blood (20 mL in EDTA) was obtained from every patient, 3 to 4 weeks after primary surgery and before the initiation of any adjuvant treatment. To avoid contamination with epithelial cells from the skin, all blood samples were obtained at the middle of vein puncture after the first 5 mL of blood were discarded.

The procedures of RNA extraction and cDNA synthesis have already been described elsewhere.3,4 The real-time RT-PCR assay for CK-19 mRNA–positive CTCs and the primers used, have been previously described in detail and were used in this study without any modification.3,4 According to the analytic detection limit of our assay, the presence of ≥ 0.6 MCF-7 equivalents/5 µg of total RNA was a positive result. Using the above cutoff, only two of 89 healthy female donors were positive (2.2%).3 Furthermore, none of nine women with benign breast disease had positive blood samples.

Immunohistochemistry for HER2, ER, and PR
HER2 expression of the primary tumors was detected by immunohistochemistry (IHC) with the monoclonal antibody CB11 (Novacastra, Newcastle on Tyne, United Kingdom), using the OPTIMAX automated system (BioGenex Laboratories, San Ramon, CA). Scoring was based on the criteria recommended by DAKO A/S for the HercepTest (DAKO Corporation, Carpinteria, CA). Fluorescence in situ hybridization was not performed for tumors HER2 2+ by IHC.

ER and PR expression of the primary tumors was detected by IHC with monoclonal antibodies to ER and PR (DakoCytomation, Denmark, A/S), respectively, using the same automated system as above. All carcinoma cells in three hot spots (areas with the highest density of ER-positive or PR-positive carcinoma cell nuclei) per slide were evaluated independently by two pathologists (M.K., E.N.S.), and the mean of the two independent counts was considered the final value for each field and hot spot. The final immunoreactivity index (score) was calculated as the mean percentage of ER-positive or PR-positive carcinoma cell nuclei in the three hot spots. Specimens were interpreted as positive for ER or PR if at least 10% of the cells demonstrated nuclear staining of any intensity of reactivity, from 1+ to 3+. Staining intensity was graded as negative (0), weak (1+), intermediate (2+), or strong (3+), and reported separately.

Molecular Subtypes
The expression of ER, PR, and HER2 by IHC was used to define the three stable molecular subtypes. The triple-negative or basal-like tumors were defined as ER-negative/PR-negative/HER2 negative (0, 1+ by IHC), the HER2 positive as HER2 3+ by IHC, and the luminal as ER-positive/HER2 negative (0, 1+ by IHC).

Statistical Analysis
Summary descriptive statistics were expressed as mean (standard deviation [SD]) or percent, as appropriate. Continuous variables were compared between different groups with unpaired t-test or Kruskal-Wallis test as appropriate, and categoric data with Fisher's exact test. The time from study entry until the day of the first evidence of disease recurrence either locoregional or distant (disease-free survival [DFS]) and the time from study entry to death (overall survival [OS]) were the main dependent variables of the study. DFS and OS curves for subgroups of patients were constructed using the Kaplan-Meier product limit estimate method21 and were compared by the log-rank test in order to provide a univariate assessment of the prognostic value of selected clinical risk factors, measured at study entry. Clinicopathological factors known to be associated with prognosis like menopausal status (premenopausal v postmenopausal), tumor size (T2-3 v T1), nodal infiltration (yes v no), histology grade (III v I-II), ER status (negative v positive), PR status (negative v positive), HER2 status (positive v negative), triple-negative status (yes v no), chemotherapy regimen (FEC/EC-T v CMF) and additionally the detection of CK-19 mRNA–positive CTCs (yes v no) were tested in univariate analysis. Variables that were found to be significant at the univariate screen were then entered in a stepwise multivariate Cox proportional hazards regression model with and without the interaction effect between CK-19 and ER status, in order to identify those with independent prognostic information.22 Entry into and removal from the model were set at 5% and 10%, respectively. All statistical tests were performed at the 5% level of significance. SPSS, version 13 (SPSS Inc, Chicago, IL), statistical software was used for the analysis.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Patient Characteristics
The characteristics of the 444 patients are presented in Table 1. The patients’ median age was 54 years (range, 26 to 78 years). Primary tumor size was less than or equal to 2 cm, absence of axillary lymph node infiltration and ER-positive disease were observed in 35.4%, 36.7%, and 58.6% of the patients, respectively. Overall, CK-19 mRNA–positive CTCs were detected in 181 patients (40.8%) and detection of CTCs was not significantly associated with any of the known clinicopathological characteristics (Table 1). There was no significant difference in the proportion of patients with detectable CK-19 mRNA–positive CTCs in the ER-negative and ER-positive subgroups (40.6% and 41.9%, respectively; P = .779) as well as in the three molecular subtypes namely the triple negative, the HER2 positive, and the ER positive/HER2 negative (35%, 39.8%, and 44.1%, respectively; P = .385). Similarly, there was no significant difference in the distribution (median, range) of CK-19 mRNA values between the ER-negative and ER-positive subgroups (P = .559) and between the three molecular subtypes (P = .185; Appendix Table A1, online only).


View this table:
[in this window]
[in a new window]

 
Table 1. Patient Characteristics

 
Detection of CK-19 mRNA–Positive CTCs and Clinical Outcome
We first investigated the association between detection of CK-19 mRNA–positive CTCs and clinical outcome of the whole population. The median follow-up was 53.5 months (range, 10 to 106 months). During this period, 94 (21%) of 444 patients relapsed (18 local and 76 distant) and 42 patients (9%) died due to disease progression. Median follow-up for alive patients was 56.4 months (range, 10 to 96 months) and 45% of alive patients had follow-up for longer than 5 years. Relapse and death were more frequent in patients with CK-19 mRNA–positive CTCs (P < .001 and P = .001; Table 2). The median DFS and OS of patients with and without CK-19 mRNA–positive CTCs cannot, as of yet, be estimated; however, patients with CK-19 mRNA–positive CTCs had significantly shorter DFS (P < .001; Fig 1A) and OS (P < .001; Fig 2A).


View this table:
[in this window]
[in a new window]

 
Table 2. Incidence of Relapses and Deaths in Different Groups of Patients With Early-Stage Breast Cancer According to the Presence of CK-19 mRNA-Positive CTCs

 

Figure 1
View larger version (21K):
[in this window]
[in a new window]
[PowerPoint Slide for Teaching]
 
Fig 1. Disease-free survival in patients with and without cytokeratin-19 (CK-19) mRNA–positive circulating tumor cells (CTCs): (A) entire patient population, (B) estrogen receptor (ER)-negative, (C) ER-positive, (D) triple-negative, (E) HER2-positive, and (F) ER-positive/HER2-negative subgroups.

 

Figure 2
View larger version (19K):
[in this window]
[in a new window]
[PowerPoint Slide for Teaching]
 
Fig 2. Overall survival in patients with and without cytokeratin-19 (CK-19) mRNA–positive circulating tumor cells (CTCs): (A) entire patient population, (B) estrogen receptor (ER)-negative, (C) ER-positive, (D) triple-negative, (E) HER2-positive, and (F) ER-positive/HER2-negative subgroups.

 
Because axillary nodal status is very important in tumor staging, we sought to examine the prognostic value of the detection of CK-19 mRNA–positive CTCs in patients’ groups based on nodal infiltration. The detection of CK-19 mRNA–positive CTCs was associated with worse DFS and OS both in the node-negative (log-rank test, P = .003 and P = .001, respectively) and in the node-positive subgroup (log-rank test, P = .001 and P = .046, respectively).

Subgroups Based on ER Status
ER-negative patients. During the follow-up period, patients with ER-negative tumors relapsed more frequently than patients with ER-positive tumors (28% v 16.5%; P = .004). In the ER-negative subgroup (n = 175), disease relapse and death were more common in patients with CK-19 mRNA–positive CTCs (P < .001 and P = .001, respectively; Table 2). The estimated median DFS for patients with CK-19 mRNA–positive CTCs was 62 months (95% CI, 46.8 to 77.1), whereas it has not yet been reached for patients without CK-19 mRNA–positive CTCs (P < .001; Fig 1B). The median OS for patients with and without CK-19 mRNA–positive CTCs has not yet been reached; however, patients with CK-19 mRNA–positive CTCs had significantly shorter OS (P < .001; Fig 2B).

ER-positive patients. In the ER-positive subgroup (n = 260), relapses and deaths did not differ significantly for patients with detectable CK-19 mRNA–positive CTCs and those without (P = .315 and P = .499, respectively; Table 2). Although no significant differences in DFS and OS were observed, with longer follow-up there was a nonsignificant trend for worse DFS in ER-positive patients with detectable CK-19 mRNA–positive CTCs, (P = .172; Fig 1C and P = .425; Fig 2C, respectively). DFS and OS of ER-positive/CK-19–negative, ER-positive/CK-19–positive, ER-negative/CK-19–negative, ER-negative/CK-19–positive patients is depicted in Appendix Figure A1 (online only).

Subgroups Based on Molecular Subtypes
Triple-negative patients. In the triple-negative subgroup (n = 77), relapses and deaths were significantly more frequent in patients with CK-19 mRNA–positive CTCs (P = .030 and P = .001, respectively; Table 2). Patients with CK-19 mRNA–positive CTCs had significantly shorter DFS and OS (P = .008, Fig 1D; and P = .001, Fig 2D, respectively).

HER2-positive patients. In the HER2-positive subgroup (n = 88), relapses and deaths were observed with higher frequency in patients with CK-19 mRNA–positive CTCs (P = .033 and P = .038, respectively; Table 2). Patients with CK-19 mRNA–positive CTCs had also significantly shorter DFS and OS (P = .023, Fig 1E; and P = .040, Fig 2E, respectively).

ER-positive/HER2-negative patients. Among the ER-positive/HER2-negative subgroup (n = 186), disease recurrences and deaths were not significantly different in patients with detectable CK-19 mRNA–positive CTCs versus those without (P = .392 and P = .731, respectively; Table 2). Although no significant differences in DFS and OS were observed, with longer follow-up there was a nonsignificant trend for worse DFS in ER-positive/HER2-negative patients with detectable CK-19 mRNA–positive CTCs (P = .210; Fig 1F and P = .578; Fig 2F, respectively).

The 5-year DFS and OS for patients with or without CK-19 mRNA–positive CTCs in the entire population, the subgroups based on ER status, and the three molecular subtypes are depicted in Appendix Table A2 (online only).

Univariate and Multivariate Analysis
In univariate analysis, tumor size larger than 2 cm, ER-negative tumors, histology grade III, as well as the detection of CK-19 mRNA–positive CTCs were associated with significantly shorter DFS and OS in the entire patient cohort (Table 3). In multivariate analysis that included 387 patients, ER-negative tumors and the detection of CK-19 mRNA–positive CTCs were independently associated with decreased DFS and OS (Table 4). Furthermore, when the interaction between CK-19 mRNA–positive CTCs and ER status was included in the multivariate model, this interaction emerged as the strongest independent prognostic factor for reduced DFS and OS (Table 4).


View this table:
[in this window]
[in a new window]

 
Table 3. Univariate Analysis for DFS and OS for Patients With Early-Stage Breast Cancer

 

View this table:
[in this window]
[in a new window]

 
Table 4. Independent Prognostic Factors by Multivariate Analysis Without and With the Interaction CK-19*ER for DFS and OS for Patients With Early-Stage Breast Cancer (n = 387)

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
In this study of an extended cohort of 444 node-negative and node-positive breast cancer patients, we confirmed our previous results4 on the adverse, independent prognostic value of CK-19 mRNA–positive CTCs in early-stage breast cancer. The node-negative patients included in this analysis were to a large extent different from the node-negative patients of our previous report.4 In this study, we report for the first time (to our knowledge) that the presence of CK-19 mRNA–positive CTCs predicted poor clinical outcome (relapse and death) in patients with ER-negative but not ER-positive early-stage breast cancer, despite the similar proportion of patients with detectable CK-19 mRNA–positive CTCs in both subgroups. Similarly, the presence of CK-19 mRNA–positive CTCs was associated with shorter DFS and OS in the triple-negative and HER2-positive, but not in the ER-positive/HER2-negative subgroups. In multivariate analysis, the interaction between CK-19 mRNA–positive CTCs and ER status was the strongest independent prognostic factor for DFS and OS.

During the 53.5-month median follow-up, patients with ER-negative tumors relapsed more frequently than patients with ER-positive tumors (28% v 16.5%; P = .004). This is in accordance with the Oxford meta-analysis, where ER-negative patients relapsed more frequently than ER-positive patients during the first 5 years after diagnosis.17 Therefore, CK-19 mRNA–positive CTCs are correlated with the development of early metastasis within the first 5 years in patients with ER-negative but not in patients with ER-positive disease. A possible explanation for this is that in the ER-negative group, micrometastatic cells could be targeted only by adjuvant chemotherapy, whereas in the ER-positive subgroup they could be controlled by both adjuvant chemotherapy as well as hormone treatment. Nevertheless, it appears that the curves in the ER-positive group tend to separate after 5 years (Figs 1C and 2C), which would be consistent with the 5 years of tamoxifen received by ER-positive patients. Therefore, with longer follow-up, initial CK-19 mRNA levels might also predict long-term outcome of ER-positive patients and thus might help identifying those who could benefit from extended adjuvant hormone therapy. Therefore, the 53.5-month median follow-up of this study is relatively short to draw definite conclusions for patients with ER-positive tumors. Furthermore, since all patients received adjuvant chemotherapy with or without hormone therapy, the information we derived from the detection of CK-19 mRNA–positive cells is not purely prognostic. Validation of our results in a well-designed, prospective, multicenter trial, where therapeutic decision will be based on CK-19 mRNA detection, is needed. Further development of this biomarker should take into consideration the problems related to tumor marker prognostic studies described by McShane et al.23

Based on our results, we could also hypothesize that CK-19 mRNA–positive CTCs have different biologic behavior in patients with ER-negative (basal-like CTCs) and ER-positive (luminal-like CTCs) tumors. However, molecular and immunophenotypic characterization of CK-19 mRNA–positive CTCs in patients with ER-negative and ER-positive disease is required to further validate this hypothesis. Furthermore, it could be argued that the presence of CK-19 mRNA–positive CTCs in a given patient may reflect the biology of the primary tumor as determined by the ER status. According to Klein et al, 24 occult micrometastatic cells are heterogeneous in a given patient with early-stage breast cancer. After the identification of tumorigenic breast cancer cells,25 it would be interesting to examine whether there are different subpopulations of micrometastatic cells with stem-cell/progenitor properties responsible for the development of metastasis in ER-negative and ER-positive patients.

Another important question is whether the study of CK-19 mRNA–positive CTCs could provide additional prognostic information to currently developed gene expression signatures.26-30 Interestingly, according to these signatures, the majority of ER-negative tumors are assigned to the poor outcome group, whereas ER-positive tumors comprise a mixture of poor and good prognosis tumors.30-33 Therefore, gene expression signatures are more useful for predicting clinical outcome in ER-positive disease.15,34 On the contrary, our results indicate that the detection of CK-19 mRNA–positive CTCs could subdivide ER-negative and triple-negative as well as HER2-positive patients into better and worse prognosis groups. Therefore, it would be interesting to prospectively assess the hypothesis that by combining information from primary tumor gene expression profiling and the detection of micrometastatic cells, we could further improve prognosis in early-stage breast cancer.

Furthermore, the monitoring of CK-19 mRNA–positive CTCs could be used to investigate the potential value of secondary adjuvant strategies. We have previously reported that a short course of trastuzumab could eliminate chemotherapy-resistant CK-19 mRNA–and HER2 mRNA–positive CTCs and bone marrow disseminated tumor cells for patients with breast cancer.35 Thus, the identification of suitable targets for individualized adjuvant breast cancer treatment may need to take into account, not only the characteristics of the primary tumor, but also those of micrometastatic cells.


    AUTHORS’ DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
The author(s) indicated no potential conflicts of interest.


    AUTHOR CONTRIBUTIONS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Conception and design: Michail Ignatiadis, Christos Sotiriou, Vassilis Georgoulias, Dimitris Mavroudis

Financial support: Vassilis Georgoulias, Dimitris Mavroudis

Administrative support: Michail Ignatiadis, Nikos Xenidis, Maria Perraki, Stella Apostolaki, Eleni Politaki, Aliki Stathopoulou, Evi Lianidou, Grigorios Chlouverakis

Provision of study materials or patients: Vassilis Georgoulias, Dimitris Mavroudis

Collection and assembly of data: Michail Ignatiadis, Nikos Xenidis, Maria Perraki, Stella Apostolaki, Eleni Politaki, Maria Kafousi, Efstathios Stathopoulos, Aliki Stathopoulou, Evi Lianidou

Data analysis and interpretation: Michail Ignatiadis, Nikos Xenidis, Maria Perraki, Stella Apostolaki, Eleni Politaki, Maria Kafousi, Efstathios Stathopoulos, Aliki Stathopoulou, Evi Lianidou, Grigorios Chlouverakis, Christos Sotiriou, Vassilis Georgoulias, Dimitris Mavroudis

Manuscript writing: Michail Ignatiadis, Maria Kafousi, Efstathios Stathopoulos, Grigorios Chlouverakis, Christos Sotiriou, Vassilis Georgoulias, Dimitris Mavroudis

Final approval of manuscript: Michail Ignatiadis, Nikos Xenidis, Maria Perraki, Stella Apostolaki, Eleni Politaki, Maria Kafousi, Efstathios Stathopoulos, Aliki Stathopoulou, Evi Lianidou, Grigorios Chlouverakis, Christos Sotiriou, Vassilis Georgoulias, Dimitris Mavroudis


    Appendix
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
Go


Figure 3
View larger version (16K):
[in this window]
[in a new window]
[PowerPoint Slide for Teaching]
 
Fig A1. (A) Disease-free survival and (B) overall survival in estrogen receptor (ER)-positive/ cytokeratin-19 (CK-19) –negative, ER-positive/CK-19–positive, ER-negative/CK-19–negative, ER-negative/CK-19–positive patients.

 
Go


View this table:
[in this window]
[in a new window]

 
Table A1. Distribution of CK-19 mRNA Values in the Different Patient Groups

 
Go


View this table:
[in this window]
[in a new window]

 
Table A2. Five-Year Clinical Outcome (DFS/OS) and Detection of CK-19 mRNA–Positive CTCs in the Different Patient Groups

 


    ACKNOWLEDGMENTS
 
We thank Marc Buyse, PhD, for reviewing the manuscript.


    NOTES
 
published online ahead of print at www.jco.org on October 22, 2007.

M.I. and N.X. have contributed equally to this article.

Authors’ disclosures of potential conflicts of interest and author contributions are found at the end of this article.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 AUTHORS' DISCLOSURES OF...
 AUTHOR CONTRIBUTIONS
 Appendix
 REFERENCES
 
1. Lacroix M: Significance, detection and markers of disseminated breast cancer cells. Endocr Relat Cancer 13:1033-1067, 2006[Abstract/Free Full Text]

2. Stathopoulou A, Vlachonikolis I, Mavroudis D, et al: Molecular detection of cytokeratin-19-positive cells in the peripheral blood of patients with operable breast cancer: Evaluation of their prognostic significance. J Clin Oncol 20:3404-3412, 2002[Abstract/Free Full Text]

3. Stathopoulou A, Gizi A, Perraki M, et al: Real-time quantification of CK-19 mRNA-positive cells in peripheral blood of breast cancer patients using the lightcycler system. Clin Cancer Res 9:5145-5151, 2003[Abstract/Free Full Text]

4. Xenidis N, Perraki M, Kafousi M, et al: Predictive and prognostic value of peripheral blood cytokeratin-19 mRNA-positive cells detected by real-time polymerase chain reaction in node-negative breast cancer patients. J Clin Oncol 24:3756-3762, 2006[Abstract/Free Full Text]

5. Braun S, Vogl FD, Naume B, et al: A pooled analysis of bone marrow micrometastasis in breast cancer. N Engl J Med 353:793-802, 2005[Abstract/Free Full Text]

6. Pierga JY, Bonneton C, Vincent-Salomon A, et al: Clinical significance of immunocytochemical detection of tumor cells using digital microscopy in peripheral blood and bone marrow of breast cancer patients. Clin Cancer Res 10:1392-1400, 2004[Abstract/Free Full Text]

7. Wiedswang G, Borgen E, Schirmer C, et al: Comparison of the clinical significance of occult tumor cells in blood and bone marrow in breast cancer. Int J Cancer 118:2013-2019, 2006[CrossRef][Medline]

8. Benoy IH, Elst H, Philips M, et al: Real-time RT-PCR detection of disseminated tumour cells in bone marrow has superior prognostic significance in comparison with circulating tumour cells in patients with breast cancer. Br J Cancer 94:672-680, 2006[Medline]

9. Masuda TA, Kataoka A, Ohno S, et al: Detection of occult cancer cells in peripheral blood and bone marrow by quantitative RT-PCR assay for cytokeratin-7 in breast cancer patients. Int J Oncol 26:721-730, 2005[Medline]

10. Perou CM, Sorlie T, Eisen MB, et al: Molecular portraits of human breast tumours. Nature 406:747-752, 2000[CrossRef][Medline]

11. Sorlie T, Perou CM, Tibshirani R, et al: Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A 98:10869-10874, 2001[Abstract/Free Full Text]

12. Sorlie T, Tibshirani R, Parker J, et al: Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A 100:8418-8423, 2003[Abstract/Free Full Text]

13. Sotiriou C, Neo SY, McShane LM, et al: Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci U S A 100:10393-10398, 2003[Abstract/Free Full Text]

14. Fan C, Oh DS, Wessels L, et al: Concordance among gene-expression-based predictors for breast cancer. N Engl J Med 355:560-569, 2006[Abstract/Free Full Text]

15. Ignatiadis M, Desmedt C: Predicting risk of breast cancer recurrence using gene-expression profiling. Pharmacogenomics 8:101-111, 2007[CrossRef][Medline]

16. Kapp AV, Jeffrey SS, Langerod A, et al: Discovery and validation of breast cancer subtypes. BMC Genomics 7:231, 2006[CrossRef][Medline]

17. Early Breast Cancer Trialists’ Collaborative Group: Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: An overview of the randomised trials. Lancet 365:1687-1717, 2005[CrossRef][Medline]

18. Rouzier R, Perou CM, Symmans WF, et al: Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res 11:5678-5685, 2005[Abstract/Free Full Text]

19. Piccart-Gebhart MJ, Procter M, Leyland-Jones B, et al: Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer. N Engl J Med 353:1659-1672, 2005[Abstract/Free Full Text]

20. Romond EH, Perez EA, Bryant J, et al: Trastuzumab plus adjuvant chemotherapy for operable HER2-positive breast cancer. N Engl J Med 353:1673-1684, 2005[Abstract/Free Full Text]

21. Kaplan E, Meier P: Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457-481, 1958[CrossRef]

22. Collett D: Modeling Survival Data in Medical Research. London, United Kingdom, Chapman and Hall/CRC, 1999

23. McShane LM, Altman DG, Sauerbrei W: Reporting recommendations for tumor marker prognostic studies. J Clin Oncol 23:9067-9072, 2005[Free Full Text]

24. Klein CA, Blankenstein TJ, Schmidt-Kittler O, et al: Genetic heterogeneity of single disseminated tumour cells in minimal residual cancer. Lancet 360:683-689, 2002[CrossRef][Medline]

25. Al-Hajj M, Wicha MS, Ito-Hernandez A: Prospective identification of tumorigenic breast cancer cells. Proc Natl Acad Sci U S A 100:3983-3988, 2003[Abstract/Free Full Text]

26. van't Veer LJ, Dai H, van de Viljer MJ, et al: Gene expression profiling predicts clinical outcome of breast cancer. Nature 415:530-536, 2002[CrossRef][Medline]

27. Wang Y, Klijn JG, Zhang Y, et al: Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 365:671-679, 2005[Medline]

28. Chang HY, Nuyten DS, Sneddon JB, et al: Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proc Natl Acad Sci U S A 102:3738-3743, 2005[Abstract/Free Full Text]

29. Sotiriou C, Wirapati P, Loi S, et al: Gene expression profiling in breast cancer: Understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98:262-272, 2006[Abstract/Free Full Text]

30. Liu R, Wang X, Chen GY, et al: The prognostic role of a gene signature from tumorigenic breast-cancer cells. N Engl J Med 356:217-226, 2007[Abstract/Free Full Text]

31. van de Vijver, He YD, van't Veer LJ, et al: A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 347:1999-2009, 2002[Abstract/Free Full Text]

32. Buyse M, Loi S, van't VL, et al: Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 98:1183-1192, 2006[Abstract/Free Full Text]

33. Desmedt C, Piette F, Loi S, et al: Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the TRANSBIG multicenter independent validation series. Clin Cancer Res 13:3207-3214, 2007[Abstract/Free Full Text]

34. Desmedt C, Sotiriou C. Proliferation: The most prominent predictor of clinical outcome in breast cancer. Cell Cycle 5:2198-2202, 2006[Medline]

35. Bozionellou V, Mavroudis D, Perraki M, et al: Trastuzumab administration can effectively target chemotherapy-resistant cytokeratin-19 messenger RNA-positive tumor cells in the peripheral blood and bone marrow of patients with breast cancer. Clin Cancer Res 10:8185-8194, 2004[Abstract/Free Full Text]

Submitted March 19, 2007; accepted August 20, 2007.


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Ann OncolHome page
F.-C. Bidard, Y. M. Kirova, A. Vincent-Salomon, S. Alran, Y. de Rycke, B. Sigal-Zafrani, X. Sastre-Garau, L. Mignot, A. Fourquet, and J.-Y. Pierga
Disseminated tumor cells and the risk of locoregional recurrence in nonmetastatic breast cancer
Ann. Onc., November 1, 2009; 20(11): 1836 - 1841.
[Abstract] [Full Text] [PDF]


Home page
Ann OncolHome page
M. Mego, U. De Giorgi, L. Hsu, N. T. Ueno, V. Valero, S. Jackson, E. Andreopoulou, S.-W. Kau, J. M. Reuben, and M. Cristofanilli
Circulating tumor cells in metastatic inflammatory breast cancer
Ann. Onc., November 1, 2009; 20(11): 1824 - 1828.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
J. Lu, P. S. Steeg, J. E. Price, S. Krishnamurthy, S. A. Mani, J. Reuben, M. Cristofanilli, G. Dontu, L. Bidaut, V. Valero, et al.
Breast Cancer Metastasis: Challenges and Opportunities
Cancer Res., June 15, 2009; 69(12): 4951 - 4953.
[Full Text] [PDF]


Home page
JCOHome page
N. Xenidis, M. Ignatiadis, S. Apostolaki, M. Perraki, K. Kalbakis, S. Agelaki, E. N. Stathopoulos, G. Chlouverakis, E. Lianidou, S. Kakolyris, et al.
Cytokeratin-19 mRNA-Positive Circulating Tumor Cells After Adjuvant Chemotherapy in Patients With Early Breast Cancer
J. Clin. Oncol., May 1, 2009; 27(13): 2177 - 2184.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
M. Ignatiadis, C. Desmedt, C. Sotiriou, E. de Azambuja, and M. Piccart
HER-2 as a Target for Breast Cancer Therapy
Clin. Cancer Res., March 15, 2009; 15(6): 1848 - 1852.
[Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
J.-Y. Pierga, F.-C. Bidard, C. Mathiot, E. Brain, S. Delaloge, S. Giachetti, P. de Cremoux, R. Salmon, A. Vincent-Salomon, and M. Marty
Circulating Tumor Cell Detection Predicts Early Metastatic Relapse After Neoadjuvant Chemotherapy in Large Operable and Locally Advanced Breast Cancer in a Phase II Randomized Trial
Clin. Cancer Res., November 1, 2008; 14(21): 7004 - 7010.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
C. Alix-Panabieres, S. Riethdorf, and K. Pantel
Circulating Tumor Cells and Bone Marrow Micrometastasis
Clin. Cancer Res., August 15, 2008; 14(16): 5013 - 5021.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
F.-C. Bidard, A. Vincent-Salomon, S. Gomme, C. Nos, Y. de Rycke, J. P. Thiery, B. Sigal-Zafrani, L. Mignot, X. Sastre-Garau, J.-Y. Pierga, et al.
Disseminated Tumor Cells of Breast Cancer Patients: A Strong Prognostic Factor for Distant and Local Relapse
Clin. Cancer Res., June 1, 2008; 14(11): 3306 - 3311.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
M. Ignatiadis, G. Kallergi, M. Ntoulia, M. Perraki, S. Apostolaki, M. Kafousi, G. Chlouverakis, E. Stathopoulos, E. Lianidou, V. Georgoulias, et al.
Prognostic Value of the Molecular Detection of Circulating Tumor Cells Using a Multimarker Reverse Transcription-PCR Assay for Cytokeratin 19, Mammaglobin A, and HER2 in Early Breast Cancer
Clin. Cancer Res., May 1, 2008; 14(9): 2593 - 2600.
[Abstract] [Full Text] [PDF]


Home page
J. Clin. Pathol.Home page
A Vincent-Salomon, F C Bidard, and J Y Pierga
Bone marrow micrometastasis in breast cancer: review of detection methods, prognostic impact and biological issues
J. Clin. Pathol., May 1, 2008; 61(5): 570 - 576.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Save to my personal folders
Right arrow Download to citation manager
Right arrowRights & Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ignatiadis, M.
Right arrow Articles by Mavroudis, D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ignatiadis, M.
Right arrow Articles by Mavroudis, D.
Right arrowPubmed/NCBI databases
Medline Plus Health Information
*Breast Cancer
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

About
JCO
 Editorial
Roster
 Advertising
Information
 Librarians &
Institutions
 Rights &
Permissions
 PDA Services

Copyright © 2007 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
Terms and Conditions of Use
  HighWire Press HighWire Press™ assists in the publication of JCO Online