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

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 Turner, B. C.
Right arrow Articles by Reed, J. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Turner, B. C.
Right arrow Articles by Reed, J. C.
Journal of Clinical Oncology, Vol 19, Issue 4 (February), 2001: 992-1000
© 2001 American Society for Clinical Oncology

BAG-1: A Novel Biomarker Predicting Long-Term Survival in Early-Stage Breast Cancer

By Bruce C. Turner, Stanislaw Krajewski, Maryla Krajewska, Shinichi Takayama, Andrew A. Gumbs, Darryl Carter, Timothy R. Rebbeck, Bruce G. Haffty, John C. Reed

From Thomas Jefferson University, Department of Radiation Oncology and Kimmel Cancer Center; University of Pennsylvania School of Medicine, Department of Epidemiology and Biostatistics, Philadelphia, PA; The Burnham Institute, La Jolla, CA; and Yale University School of Medicine, Departments of Therapeutic Radiology and Pathology, New Haven, CT.

Address reprint requests to John C. Reed, MD, PhD, The Burnham Institute, 10901 North Torrey Pines Rd, La Jolla, CA 92037; email: jreed{at}burnham.org


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: Among women with early-stage breast cancer treated with lumpectomy and radiation therapy, 30% to 40% will develop metastatic disease, which is often fatal. A need exists therefore for biomarkers that distinguish patients at high risk of relapse. We performed a retrospective correlative analysis of BAG-1 protein expression in breast tumors derived from a cohort of early-stage breast cancer patients.

PATIENTS AND METHODS: Archival paraffin blocks from 122 women with stages I to II breast cancer treated with lumpectomy and radiation therapy (median follow-up, 12.1 years) were analyzed by immunohistochemical methods using monoclonal antibodies recognizing BAG-1 and other biomarkers, including Bcl-2, estrogen receptor, progesterone receptor, p53, and HER2/Neu. Immunostaining data were correlated with distant metastasis-free survival (DMFS) and overall survival (OS).

RESULTS: Cytosolic immunostaining for BAG-1 was upregulated in 79 (65%) of 122 invasive breast cancers (P < .001) compared with normal breast. Elevated BAG-1 was significantly associated with longer DMFS and OS, overall (stages 1 and II) and in node-negative (stage I only) patients, on the basis of univariate and multivariate analyses (DMFS, P = .005; OS, P = .01, in multivariate analysis of all patients; DMFS, P = .005; OS, P = .001, in multivariate analysis of node-negative patients). All other biomarkers failed to reach statistical significance in multivariate analysis. Clinical stage was an independent predictor of OS (P = .04) and DMFS (P = .02).

CONCLUSION: These findings provide preliminary evidence that BAG-1 represents a potential marker of improved survival in early-stage breast cancer patients, independent of the status of axillary lymph nodes.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
ONE OF EVERY nine women currently develops breast cancer. Among women with early-stage breast cancers treated with lumpectomy and local radiotherapy, 10% to 20% will experience local recurrences and 30% to 40% will develop distant metastatic disease, which is often fatal.1-6 A need exists for identifying prognostic markers that accurately predict long-term outcome in these patients, thus permitting rational choices among therapeutic options such as adjuvant chemotherapy, surgical resection, radiation therapy, hormonal therapy, and application of newly discovered experimental therapeutics. This is especially important for women with axillary lymph node-negative breast cancer, where the use of systemic chemotherapy and hormonal therapy remains controversial, and thus, decisions regarding clinical management are especially problematic.7,8

Several biomarkers have been shown to provide prognostic information for patients with breast cancer. Overexpression of the HER2/Neu oncoprotein, for example, has been shown to predict breast cancer patients at risk for metastatic disease and shorter survival in some studies.9-11 The overexpression of the HER2/Neu protein is also used to identify patients that may be candidates for treatment with the humanized monoclonal antibody to HER2/Neu, trastuzumab (Herceptin; Genentech, South San Francisco, CA).12 Somatic mutations that inactivate the p53 gene, with resulting overexpression of p53 protein, have been identified as predictors of poor prognosis in many subgroups of breast cancer patients.13-16 Conversely, the expression of estrogen receptor (ER) and the Bcl-2 protein have been associated with favorable outcome in early-stage breast cancer.17-19 However, among the many biomarkers studied, only the use of ER, progesterone receptor (PR) status, and perhaps immunostaining to detect mutant p53 provides sufficiently reliable information for clinical decision making.

BAG-1 is a multifunctional protein that contains a domain that binds tightly to Heat Shock 70-kd (Hsp70) family molecular chaperones and appears to modulate stress-responses through interactions with a variety of intracellular proteins, thereby regulating diverse cellular processes relevant to cancer, including cell division, cell survival, and cell migration.20-27 Nuclear and cytosolic isoforms of the BAG-1 protein are produced from a common mRNA by use of alternative translation initiation sites.28-30 Interestingly, longer nuclear isoforms of BAG-1 reportedly bind to several types of steroid hormone receptors, including ER, and modulate the activities of some of these transcription factors.30-32 The expression and prognostic significance of BAG-1 expression in breast cancers has not been fully examined, but a recent study suggests that BAG-1 may be unregulated in invasive breast cancer and associated with compromised survival.33 Using monoclonal antibodies that allow specific detection of human BAG-1 proteins, we have examined the expression patterns of the BAG-1 protein in normal mammary tissues and invasive breast cancers, revealing associations of BAG-1 with patient survival in early-stage breast cancer patients.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Patient Population
We identified 122 early-stage (stage I; n = 78; 64%) (stage II; n = 44; 36%) breast cancer patients treated at Yale University School of Medicine between 1978 and 1993, representing 20% of the breast cancer database registry at that time and for whom the primary paraffin tumor blocks were available for analysis ( Table 1). Patients were excluded from molecular analysis if the breast tumor blocks were unavailable. Staging was performed according to the American Joint Committee on Cancer, and all patients underwent bone scans to evaluate for metastatic disease. All patients were treated by lumpectomy, with or without axillary dissection, followed by radiation therapy to the intact breast using a median dose of 48 Gy followed by an electron boost to the lumpectomy site to yield a total median dose of 64 Gy. Of the 122 patients, 18 (15%) were treated with adjuvant systemic chemotherapy and 20 (16%) were treated with tamoxifen therapy (Table 1). Treatment was verified by chart review. Of the cohort, 63 of 122 (52%) underwent axillary lymph node dissection with a minimum of six sampled lymph nodes (Table 1). Lymph node biopsies were histologically negative for cancer in 49 (78%) of 63 women, whereas 14 (22%) of 63 had histologic evidence of metastatic spread to axillary lymph nodes (Table 1). The median follow-up for the patient cohort was 12.1 years. The start of the follow-up interval commenced at time of diagnosis, and failure required clinical or radiographic evidence of metastatic disease. Survival was ascertained from the breast cancer database that is updated yearly and maintained by full-time staff. Overall survival (OS) was defined as the time of diagnosis to last follow-up date or time of death for all patients, distant metastasis-free survival (DMFS) as time of diagnosis to development of first evidence of clinical or radiographic metastatic disease, and cause-specific survival (CSS) as the time of diagnosis to death with breast cancer. All patients with deaths not related to breast cancer were included up until the time of their death, after which they were excluded. We defined follow-up period as the time between the beginning of follow-up at diagnosis and a failure event (OS, DMFS, or CSS). If none of these events occurred, individuals were censored at the time of their death from other causes or at the end of the follow-up period. The study was approved by the Human Investigations Committee at the Yale University School of Medicine.


View this table:
[in this window]
[in a new window]
 
Table 1. Characteristics of Breast Cancer Patients and Tumors
 
Immunohistochemical Analysis of BAG-1 and Other Proteins
Paraffin-embedded blocks containing primary tumor specimens fixed in 10% neutral-buffered formalin were evaluated for invasive ductal carcinoma by hematoxylin-eosin staining and processed for immunohistochemical analysis as described previously.28,34 Tissue sections were deparaffinized in xylene, rehydrated in ethanol, rehydrated with water, and washed in 1% phosphate-buffered saline. After blocking sections with 10% (vol/vol) goat serum, primary antibodies were applied to slides and incubated overnight, using a Dako Universal Staining System automated immunostainer (Dako, Carpinteria, CA). These primary antibodies included a mouse monoclonal antibody specific for human BAG-1 (KS6C8; 0.1% vol/vol ascites) and a rabbit polyclonal for Bcl-2, previously developed in our laboratory.28,35 The specificity of these antibody reagents has been demonstrated by immunoblotting, immunoprecipitation, peptide-competition, and other methods.28,35 After washing, the slides were incubated for 30 minutes with either antimouse or antirabbit biotinylated antibody (1:500 vol:vol) followed by either an avidin-biotin HRPase complex reagent (Vector Laboratories, Burlingame, CA), or the Envision-Plus-HRP system (Dako), with diaminobenzidine-based colorimetric detection. Among the other proteins analyzed using immunohistochemistry were several biomarkers previously suggested to provide prognostic information for breast cancer patients. These other biomarkers were detected using monoclonal antibodies to ER and PR (Abbott Laboratories, Abbott Park, IL) using the previously described ER immunohistochemical assay method, monoclonal antibody to HER2/Neu (1:1000 dilution; Dako), and a monoclonal antibody (DO7; 1:750 vol:vol) that recognizes mutant p53 (Oncogene; Cambridge, MA). We also stained the cohort with an additional monoclonal antibody to ER (6F11; Novocastra Laboratories, Newcastle, United Kingdom, Newcastle-Upon-Tyne, United Kingdom).17 Immunoscoring was performed separately for both invasive and benign components. The intensity of immunostaining on each slide was rated on a four-point scale: 0, none; 1+, light; 2+, moderate; 3+, heavy; and 4+, intense. The percentage of immunopositive tumor cells was determined by counting a minimum of 200 cells from at least three representative high-power fields. H-scores were then calculated as the product of intensity (0 to 4) X distribution (0% to 100%), with H-scores ranging from 0 to 400. Two tumor sections from each tumor specimen were immunostained and scored separately to minimize any effects of immunohistochemical heterogeneity. However, BAG-1 immunostaining patterns did not significantly differ among pairs of sections from the same breast tumors (data not shown). The pathologist (D.C.) scoring the stained specimens was blinded to the clinical histories of the patients. All samples were reread in a blinded fashion by the pathologist, and the mean H-score of both tumor sections was determined. To set cutoffs for dichotomization of data into high (positive) and low (negative) expression groups, the mean H-score data for the entire data set were displayed as bar-histograms ( Fig 1), with H-score on the x-axis and the number of patient samples having a given H-score on the y-axis. A H-score >= 150 was determined by this approach to be appropriate for use as a cutoff for BAG-1 positivity. Individual H-scores were also determined for Bcl-2 (H-score > 180), HER2/Neu (H-score >= 25), p53 (H-score >= 50), ER (H-score >= 75), and PR (H-score >= 75), as previously described.16,17,36



View larger version (19K):
[in this window]
[in a new window]
 
Fig 1. Distribution of BAG-1 and Bcl-2 immunostaining data in invasive breast cancers. The H-score data for invasive breast cancers are presented with H-score on the abscissa and the number of specimens having a particular H-score on the ordinate.

 
Statistical Analysis
All patient data, including clinical, pathologic, and outcome measures were entered into a computerized database using the PRODAS database management system (Conceptual Software, Inc, Houston, TX). Multivariate Cox proportional hazards models were fitted to assess whether elevated levels of biomarkers, clinical variables, or pathologic parameters were associated with DMFS, CSS, and OS. Separate models were fitted to assess the effect of cytoplasmic BAG-1 in the total patients sample, those with negative axillary lymph nodes, and those with positive axillary lymph nodes. All multivariate models contained candidate variables including nuclear BAG-1, Bcl-2, ER, and stage. OS, CSS, and DMFS curves were calculated by the life-table method, with differences between the curves tested by the Mantel-Haenszel statistics test. Variables were included in the model using a stepwise variable selection procedure. A two-sided P value of <= .05 was considered statistically significant.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
BAG-1 Expression Patterns in Normal Breast Epithelium (NBE) and Malignant Breast Cancers
BAG-1 immunostaining was compared in the invasive components of breast tumors and adjacent normal breast epithelium present in the same breast cancer biopsy sections. The monoclonal BAG-1 antibody demonstrated specific immunoreactivity in both NBE and invasive breast cancers as demonstrated in Fig 2. Depending on the particular tissue specimen, BAG-1 immunoreactivity in normal and neoplastic mammary cells was found in cytosol, nucleus, or both, consistent with prior studies of BAG-1 immunolocalization in normal tissues.28 In NBE, BAG-1 immunostaining was generally weak (Fig 2A and B). When present, BAG-1 immunostaining was typically found in the nuclei of NBE cells but not the cytosol, with 25 (28%) of 88 NBE specimens having H-scores >= 150 for nuclear immunostaining ( Table 2). In contrast, although the frequency of invasive cancers with high levels of nuclear BAG-1 immunostaining was not significantly different from NBE (Table 2), cytosolic BAG-1 immunostaining was clearly elevated in many tumors compared with adjacent NBE. Analysis of the immunostaining scores (H-scores) for cytosolic BAG-1 demonstrated a bimodal distribution, with invasive cancers having H-scores >= 150 representing a subgroup having clearly higher levels of this protein (Fig 1). Among the 122 tumor biopsies analyzed, 79 (65%) had invasive cancer components that contained high-level (H-score >= 150) cytosolic BAG-1 immunostaining (Table 2), compared with only 10 (11%) of 88 of NBE specimens (P < .001). Thus, roughly two thirds of early-stage breast cancers contained elevated levels of BAG-1 protein in their cytosol, suggesting that upregulation of cytosolic BAG-1 represents a tumor-specific event for a subset of these malignancies. Some of the same tumor specimens also contained histologically evident ductal carcinomas in situ (DCIS) lesions. High levels of cytoplasmic and nuclear BAG-1 immunostaining were present in nine (64%) of 14 and seven (50%) of 14 DCIS specimens, respectively, suggesting that upregulation of BAG-1 can occur as a relatively early event in tumorigenesis (Fig 2C and D; data not shown).



View larger version (108K):
[in this window]
[in a new window]
 
Fig 2. BAG-1 Immunostaining. Abbreviation: DCIS, ductal carcinomas in situ.

 

View this table:
[in this window]
[in a new window]
 
Table 2. Expression of BAG-1 and Bcl-2 in Normal Breast Epithelium and Invasive Cancer Components
 
Bcl-2 Expression in Breast Cancer
It has been shown that the antiapoptotic protein Bcl-2 becomes upregulated during the transition from benign to malignant epithelium in the breast (reviewed in37). Overexpression of the Bcl-2 protein has been correlated with improved survival in both node-negative and node-positive breast cancer patients.18,19 Analysis of Bcl-2 immunoscores revealed a bimodal distribution, with invasive cancers having H-scores >= 180 representing a subgroup with distinctly higher levels of this antiapoptotic protein (Fig 1). Of the 106 tumor specimens successfully stained for Bcl-2, 70 (66%) had H-scores >= 180 (Table 2). Comparison of Bcl-2 and BAG-1 immunostaining data revealed that 62 (82%) of 76 breast tumors had overexpression of both proteins, demonstrating a statistically significant positive correlation of cytosolic BAG-1 immunostaining with Bcl-2 expression (P = .0005). Thus, expression of BAG-1 and Bcl-2 may be coregulated to some extent in early-stage invasive breast cancers.

Univariate Analysis of BAG-1
Life-table analysis revealed that elevated levels of BAG-1 were statistically significantly associated with longer DMFS (P < .001) and OS (P < .001) ( Fig 3, Table 3). The 10-year DMFS for breast cancer patients with BAG-1 protein overexpression was 79% compared with 34% for those whose tumors scored low for BAG-1 immunoreactivity (Fig 3, Table 3). Likewise, the 10-year OS for women with high BAG-1 protein levels was 82% compared with 42% for patients with breast tumors having low levels of this protein (Fig 3, Table 3). There were 79 (65%) of 122 of breast tumors that were BAG-1 positive and 43 (35%) of 122 BAG-1 negative that were used for the analysis of OS and DMFS (Table 2, Fig 3). The 10-year OS for all 122 breast cancer patients in the study was 68% (data not shown), compared with 82% for patients with early-stage breast cancer that overexpresses the BAG-1 protein (P = .01) (Table 3). A strong relationship between the overexpression of cytoplasmic BAG-1 protein and improved survival in breast cancer patients was also detected using several alternative H-score cutoffs, including 25 and 75, in addition to the optimized cutoff of 150 (data not shown). We also found that elevated levels of BAG-1 were associated with improved DMFS (P < .01) and OS (P < .01) when examining levels of intensity of BAG-1 immunoreactivity (intensity >= 2; data not shown).



View larger version (38K):
[in this window]
[in a new window]
 
Fig 3. High BAG-1 protein levels associated with improved OS. Abbreviations: Neg, negative; Pos, positive; YRS, years; OS, overal survival; DMFS, distant metastasis– free survival.

 

View this table:
[in this window]
[in a new window]
 
Table 3. Comparison of Biomarkers With 10-Year Survival Parameters
 
Because the identification of prognostic biomarkers has a potentially greater role in axillary lymph node–negative breast cancer patients, we performed subgroup analysis examining the importance of BAG-1 cytoplasmic expression in 63 women who underwent axillary lymph node dissection (Table 1). In 49 breast cancer patients with pathologically determined negative axillary lymph nodes, the 10-year OS for women with cytoplasmic expression of BAG-1 was 87% compared with 30% for those patients with low levels of BAG-1 protein (P = .001) (Table 3). We also found that elevated levels of BAG-1 protein were associated with significantly improved DMFS and CSS in breast cancer patients whose axillary lymph nodes were not involved with breast cancer (P = .002) (Table 3). Although the expression of Bcl-2 often correlates with ER and PR positivity,18,19,34 we found no correlations between the levels of nuclear or cytoplasmic BAG-1 protein and ER or PR positivity using several different monoclonal antibodies in breast cancer specimens used for this study (data not shown).

Univariate Analysis of Bcl-2
Among the other biomarkers evaluated, Bcl-2 was statistically significant in univariate analysis as a predictor of CSS (P < .001), DMFS (P < .001), and OS (P < .001) (Table 3). The 10-year OS in early-stage breast cancer patients with high levels of Bcl-2 protein immunoreactivity was 86% compared with 40% for women with breast tumors having low levels of the Bcl-2 protein (P < .001) (Fig 3, Table 3). The statistically significant relationship with Bcl-2 expression and improved survival was also demonstrated at alternative H-scores, including 25 and 75 (not shown). Our findings are consistent with prior studies demonstrating an important relationship between expression of Bcl-2 protein and improved survival (reviewed in38,39). We also found that Bcl-2 positive breast tumors were more likely to be ER positive (P = .01) but were not associated with PR positivity (P = not significant), consistent with prior reports (reviewed in38,39).

Correlations of Other Markers and Survival
In the same cohort of patients, immunohistochemical overexpression of mutant p53 protein was associated with poor CSS (P = .05) but not OS or DMFS in univariate analysis (Table 3). Although ER, PR, and HER2/Neu were not of statistical significance as far as predicting survival for this cohort of patients, we did observe a trend to better survival rates in women with breast tumors that expressed ER (Table 3). Among clinical, pathologic, and molecular variables (age, tumor size, stage, tumor histology, PR, p53, HER2/Neu), only stage (I v II) was significant in univariate analysis for predicting OS (P = .006; data not shown). There were 38 (31%) of 122 breast cancer patients treated with adjuvant chemotherapy or hormonal therapy, and no significant correlation was seen with respect to OS, DMFS, or CSS in this limited cohort of patients using univariate analysis (data not shown).

Multivariate Analysis of BAG-1 and Bcl-2
In multivariate analysis using Cox proportional hazards models with variables including BAG-1, Bcl-2, ER, and stage, only the expression of cytoplasmic BAG-1 protein was a statistically significant predictor of OS (P = .01), DMFS (P = .005), and CSS (P = .008) in all 122 breast cancer patients ( Table 4). Elevated BAG-1 protein was also statistically significant in a separate multivariate analysis in women with negative axillary lymph nodes for OS (P = .001), DMFS (P = .005), and CSS (P = .002) (Table 4). We did not find any significant relationships between BAG-1 protein and survival in women with positive axillary lymph node, which maybe related to the small size of this subgroup. The expression of Bcl-2 was an independent predictor for CSS (P = .007) but not DMFS or OS (Table 4). Use of alternative H-scores for BAG-1 and Bcl-2 as described above did not change these conclusions (not shown). There were 38 (31%) of 122 of patients who received systemic therapy, and multivariate analysis revealed that elevated levels of BAG-1 remained a strong predictor of OS when these patients were removed from the analysis, which suggests these findings are not dependent on adjuvant therapy (P = .02; data not shown). All other biomarkers including ER and nuclear BAG-1 failed to reach statistical significance. In multivariate analysis of all 122 patients, stage was significant for DMFS (P = .02) and OS (P = .04) (Table 4).


View this table:
[in this window]
[in a new window]
 
Table 4. Multivariate Analysis of Prognostic Factors With 10-Year Survival Parameters
 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
This is the first study to address the potential prognostic significance of BAG-1 using highly specific immunohistochemical reagents in early-stage breast cancer patients treated uniformly with breast-conserving therapy. The data presented here demonstrate that overexpression of BAG-1 correlates with improved survival in early-stage breast cancer patients, including patients with pathologically-documented negative axillary lymph node biopsies. The bag-1 gene encodes two major proteins, including BAG-1 and a longer nuclear-targeted isoform BAG-1L.28,29 Although BAG-1 is preferentially found in the cytosol, the BAG-1L protein is exclusively nuclear.28,29 However, the shorter BAG-1 protein can also be found in the nucleus under some circumstances, probably as a result of its association with other proteins that enter nuclei.24,28 Interestingly, although both normal and malignant mammary epithelial cells sometimes contained prominent nuclear BAG-1 immunoreactivity, cytosolic BAG-1 immunostaining was rarely present at high levels in normal mammary epithelium, whereas cytosolic BAG-1 was clearly elevated in 66% of the invasive breast carcinomas evaluated when compared with normal mammary epithelium.

A recent report of BAG-1 immunostaining in a diverse cohort of breast cancer patients, including women with early- and late-stage disease undergoing a wide variety of therapies, demonstrated upregulation of both nuclear and cytoplasmic BAG-1 immunostaining in 77% of breast cancers studied and increases in cytoplasmic staining without concomitant nuclear staining in 57% of patient tumor specimens.33 Thus, although that recent study is in agreement with our observations concerning upregulation of cytosolic BAG-1 immunostaining, our findings differ from those of Tang et al33 with respect to nuclear BAG-1 immunoreactivity. Moreover, Tang et al found that high levels of nuclear BAG-1 immunostaining were associated with shorter, rather than longer, disease-free and overall survival in their collection of heterogeneous patient tumor specimens. Several factors could contribute to differences in the results obtained recently by others and those reported here. For example, the study by Tang et al used a polyclonal anti–BAG-1 antibody that recognizes several isoforms of the BAG-1 protein. The anti-BAG-1 monoclonal antibody chosen for our study, however, has been confirmed to lack cross-reactivity with other BAG-family proteins, including BAGL2, BAGL3, BAGL4, and BAGL5.40 In contrast, the reactivity of polyclonal antisera with other members of the BAG family has not been addressed. Thus, differences in antibody reagents may play a role in the differences observed. In addition, the cohort of patients examined in our study consisted entirely of early-stage breast cancer patients (stages I and II), whereas the recent report by others included 27% of patients with either metastatic disease or unknown stage.33 Finally, we correlated nuclear and cytosolic BAG-1 immunoreactivity separately with patient outcome, whereas the method used by Tang et al combined nuclear and cytosolic staining data.

The BAG-1 protein has been shown to form complexes with and modulate the activities of a variety of proteins involved in cell proliferation, survival, and differentiation, including the antiapoptotic protein Bcl-2, the kinase Raf-1, the tyrosine kinase growth factor receptors for platelet-derived growth factor and hepatocyte growth factor, the growth regulator Siah-1, and retinoic acid receptors.4,21,22,24,25,27 In every instance evaluated so far in cultured cells, overexpression of BAG-1 has been associated with enhanced cell proliferation and survival. Thus, contrary to expectations, higher levels of cytosolic BAG-1 immunostaining were paradoxically associated with longer OS in the cohort of early-stage breast cancer patients used for this study. The molecular basis for this observation can only be speculated, but it may be related to either (a) the recent realization that BAG-1 is only one member of a family of at least five similar Hsc70/Hsp70-binding proteins that potentially compete for binding to these molecular chaperones40 or (b) the role of Hip and related cochaperones that also compete with BAG-1 for binding to Hsc70/Hsp70 and that have opposing effects compared with BAG-1 on the Hsc70/Hsp70-mediated peptide refolding cycle.30,40,42-44 Thus, the ratio of BAG-1 protein relative to other BAG-family members or relative to Hip and its related cochaperones may be the ultimate arbiter of biologic responses, rather than the absolute levels of BAG-1 alone.45

The utility of Bcl-2 as a marker of favorable outcome in breast cancer has been established by prior studies, which have included cohorts of breast cancer patients with node-negative or node-positive disease.18,19 In agreement with these studies, we also found that overexpression of Bcl-2 protein in breast cancer specimens was associated with improved survival characteristics in univariate but not multivariate analysis. Given that Bcl-2 is a potent blocker of apoptosis, higher levels of this antiapoptotic protein would not be expected to correlate with better clinical outcome. However, Bcl-2 is also an antiproliferative protein, at least in some cellular contexts,46,47 and its antiapoptotic and antiproliferative functions are separable.48 Moreover, the activity of Bcl-2 can be either positively or negative modulated by phosphorylation,49,50 which is not detected by immunohistochemical assays. Thus, the functional status of the Bcl-2 protein in breast cancers remains undefined. Furthermore, ratios of Bcl-2 relative to other members of the Bcl-2 family may play a role in dictating the ultimate phenotypes conferred by this protein, because (a) high levels of Bcl-2 have even been associated with enhanced rather than suppressed sensitivity to apoptosis in some cellular contexts51 and (b) the ratio of Bcl-2 to Bax can influence the antiproliferative effects of Bcl-2.47

Approximately 30% to 40% of patients with apparently localized breast cancer probably have micrometastatic disease, which is clinically undetectable at the time of diagnosis and which accounts for most instances of distant relapses and disease-related deaths.1,3 Predictive biomarkers are greatly needed that can help guide clinicians and patients in treatment-related decisions about the necessity (or lack thereof) for adjuvant chemotherapy, hormonal therapy, and new treatments as they become available. The results reported herein indicate that a large proportion of early-stage primary breast cancers arise through a pathway that includes upregulation of BAG-1 protein expression, in agreement with a recent report.33 The axillary lymph node–negative patients whose breast tumors contain elevated levels of cytosolic BAG-1 protein were found to be more likely to enjoy long-term survival and freedom from distant metastases, compared with those with BAG-1 negative tumors. Moreover, these findings are independent of systemic therapy. Because many of the patients did not undergo axillary dissection or were axillary lymph node–negative, the predictive value of BAG-1 protein in node-positive breast cancer patients remains to be determined and the importance of BAG-1 in predicting survival in lymph node–negative breast cancer patients will now need to be confirmed. Additional studies that seek to establish optimal methods for quantifying expression of specific isoforms of BAG-1 and that involve larger cohorts of patients in prospective trials are needed to firmly establish the overall prognostic utility of BAG-1 testing for women with early-stage breast cancer.


    ACKNOWLEDGMENTS
 
Supported by grants no. CA67329 and CA30199 from the National Institutes of Health, Bethesda, MD, and by grant no. DAMD17-99-1-9094 from the United States Army.

We thank S.E. Turner, S.R. Turner, E. Smith, and R. Cornell for article preparation. B.C.T. is the recipient of an Radiological Society of North America Scholar Award.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
1. Fisher B, Anderson S, Fisher E, et al: Significance of ipsilateral breast tumour recurrence after lumpectomy. Lancet 338: 327-331, 1991[Medline]

2. Veronesi U, Saccozzi R, Del Vecchio M: Comparing radical mastectomy with quadrantectomy, axillary dissection, and radiotherapy in patients with small cancers of the breast. N Engl J Med 305: 6-11, 1981[Abstract]

3. Fischer B, Redmond C, Poisson R: Eight-year results of a randomized clinical trial comparing total mastectomy and lumpectomy with or without irradiation in the treatment of breast cancer. N Engl J Med 320: 822-828, 1989[Abstract]

4. Stotter A, McNeese M, Ames F: Predicting the rate and extent of locoregional failure after breast conservation therapy for early breast cancer. Cancer 64: 217-2225, 1989

5. Haffty B, Fischer D, Beinfield M: Prognosis following local recurrence in the conservatively treated breast cancer patient. Int J Radiat Oncol Biol Phys 21: 293-298, 1991[Medline]

6. Haffty B, Reiss M, Beinfield M: Ipsilateral breast tumor recurrence as a predictor of distant disease: implications for systemic therapy at the time of local relapse. J Clin Oncol 14: 52-57, 1996[Abstract]

7. Fischer B, Dignam J, Wolmark N: Tamoxifen and chemotherapy for lymph node-negative, estrogen receptor-positive breast cancer. J Natl Cancer Inst 89: 1673-1682, 1997[Abstract/Free Full Text]

8. Group EBCTC: Systematic treatment of early breast cancer by hormonal, cytotoxic, or immune therapy: 133 randomized trials involving 31,000 recurrences and 24,000 deaths among 75,000 women. Lancet 339: 71-85, 1992[Medline]

9. Slamon D, Godolphin W, Jones L, et al: Studies of the HER-2/neu proto-oncogene in human breast and ovarian cancer. Science 244: 707-712, 1989[Abstract/Free Full Text]

10. Paik S, Hazan R, Fischer E: Pathologic findings from the national surgical adjuvant breast and bowel project: prognostic significance of erbB-2 protein overexpression in primary breast cancer. J Clin Oncol 8: 103-112, 1990[Abstract/Free Full Text]

11. Gusterson B, Gelber R, Goldhirsch A: Prognostic importance of c-erbB-2 expression in breast cancer. J Clin Oncol 10: 1049-1056, 1992[Abstract]

12. Carter P, Presta L, Gorman CM: Humanization of an anti-p185 HER2 antibody for human cancer therapy. Proc Natl Acad Sci U S A 89: 4285-4289, 1992[Abstract/Free Full Text]

13. Thor AD, Moore II DH, Edgerton SM, et al: Accumulation of p53 tumor suppressor gene protein: An independent marker of prognosis in breast cancers. J Natl Cancer Inst 84:845-855, 1992

14. Bergh J, Norberg T, Sjogren S, et al: Complete sequencing of the p53 gene provides prognostic information in breast cancer patients, particularly in relation to adjuvant systemic therapy and radiotherapy. Nat Med 1: 1029-1034, 1995[Medline]

15. Kovach J, Hartmann A, Blaszyck H, et al: Mutation detection by highly sensitive methods indicates that p53 gene mutation in breast cancer can have important prognostic value. Proc Natl Acad Sci U S A 93: 1093-1096, 1996[Abstract/Free Full Text]

16. Turner BC, Gumbs AA, Carbone CJ, et al: Mutant p53 protein overexpression in women with ipsilateral breast tumor recurrence following lumpectomy and radiation therapy. Cancer 88: 1091-1098, 2000[Medline]

17. King W, DeSombre E, Jensen E, et al: Comparison of immunocytochemical and steroid-binding assays for estrogen receptor in human breast tumors. Cancer Res 45: 293-304, 1985[Abstract/Free Full Text]

18. Silvestrini R, Veneroni S, Daidone MG, et al: The Bcl-2 protein: a prognostic indicator strongly related to p53 protein in lymph node-negative breast cancer patients. J Natl Cancer Inst 86: 499-504, 1994[Abstract/Free Full Text]

19. Silvestrini R, Benini E, Veneroni S, et al.: p53 and bcl-2 expression correlates with clinical outcome in a series of node-positive breast cancer patients. J Clin Oncol 14:1604-1610, 1996

20. Takayama S, Bimston DN, Matsuzawa S, et al: BAG-1 modulates the chaperone activity of Hsp70/Hsc70. EMBO J 16: 4887-4896, 1997[Medline]

21. Takayama S, Sato T, Krajewski S, et al: Cloning and functional analysis of BAG-1: A novel Bcl-2 binding protein with anti-cell death activity. Cell 80: 279-284, 1995[Medline]

22. Wang H-G, Takayama S, Rapp UR, et al: Bcl-2 interacting protein, BAG-1, binds to and activates the kinase Raf-1. Proc Natl Acad Sci U S A 93: 7063-7068, 1996[Abstract/Free Full Text]

23. Clevenger CV, Thickman K, Ngo W, et al: Role of Bag-1 in the survival and proliferation of the cytokine-dependent lymphocyte lines, Ba/F3 and Nb2. Mol Endocrinol 11: 608-618, 1997[Abstract/Free Full Text]

24. Liu R, Takayama S, Zheng Y, et al: Interaction of BAG-1 with retinoic acid receptor and its inhibition of retinoic acid-induced apoptosis in cancer cells. J Biol Chem 273: 16985-16992, 1998[Abstract/Free Full Text]

25. Matsuzawa S, Takayama S, Froesch BA, et al: p53-inducible human homologue of Drosophila seven in absentia (Siah) inhibits cell growth: Suppression by BAG-1. EMBO J 17: 2736-2747, 1998[Medline]

26. Naishiro Y, Adachi M, Okuda H, et al: BAG-1 accelerates cell motility of human gastric cancer cells. Oncogene 18: 3244-3251, 1999[Medline]

27. Bardelli A, Longati P, Albero D, et al: HGF receptor associates with the anti-apoptotic protein BAG-1 and prevents cell death. EMBO J 15: 6205-6212, 1996[Medline]

28. Takayama S, Krajewski S, Krajewska M, et al: Expression and location of Hsp70/Hsc-binding anti-apoptotic protein BAG-1 and its variants in normal tissues and tumor cell lines. Cancer Res 58: 3116-3131, 1998[Abstract/Free Full Text]

29. Packham G, Brimmell M, Cleveland JL: Mammalian cells express two differently localized Bag-1 isoforms generated by alternative translation initiation. Biochem J 328: 807-813, 1997

30. Zeiner M, Gebauer M, Gehring U: Mammalian protein RAP46: An interaction partner and modulator of 70 kDa heat shock proteins. EMBO J 16: 5483-5490, 1997[Medline]

31. Froesch BA, Takayama S, Reed JC: BAG-1L protein enhances androgen receptor function. J Biol Chem 273: 11660-11666, 1998[Abstract/Free Full Text]

32. Kullmann M, Schneikert J, Moll J, et al: RAP46 is a negative regulator of glucocorticoid receptor action and hormone induced apoptosis. J Biol Chem 273: 14620-14625, 1998[Abstract/Free Full Text]

33. Tang S-C, Shaheta N, Chernenko G, et al: Expression of BAG-1 in invasive breast carcinomas. J Clin Oncol 17: 1710-1719, 1999[Abstract/Free Full Text]

34. Krajewski S, Blomvqvist C, Franssila K, et al: Reduced expression of pro-apoptotic gene Bax is associated with poor response rates to combination chemotherapy and shorter survival in women with metastatic breast adenocarcinoma. Cancer Res 55: 4471-4478, 1995[Abstract/Free Full Text]

35. Krajewski S, Thor AD, Edgerton SM, et al: Immunohistochemical analysis of Bax and Bcl-2 in p53-immunopositive breast cancers. Clin Cancer Res 3: 199-208, 1997[Abstract]

36. Turner BC, Haffty B, Narayanan L, et al: Insulin-like growth factor-I receptor overexpression mediates cellular radioresistance and local breast cancer recurrence after lumpectomy and radiation. Cancer Res 57: 3079-3083, 1997[Abstract/Free Full Text]

37. Reed JC: Balancing cell life and death: Bax, apoptosis, and breast cancer. J Clin Invest 97: 2403-2404, 1996[Medline]

38. Schorr K, Li M, Krajewski S, et al: The Bcl-2 gene family and related proteins in mammary gland involution and breast cancer. J Mammary Gland Biol Neoplasia 4: 153-164, 1999[Medline]

39. Zhang GJ, Kimijima J, Tsuchiya A, et al: The role of bcl-2 expression in breast carcinomas. Oncol Rep 5: 1211-1216, 1998[Medline]

40. Takayama S, Xie Z, Reed J: An evolutionarily conserved family of Hsp70/Hsc70 molecular chaperone regulators. J Biol Chem 274: 781-786, 1999[Abstract/Free Full Text]

45. Yawata A, Adachi M, Okuda H, et al: Prolonged cell survival enhances peritoneal dissemination of gastric cancer cells. Oncogene 16: 2681-2686, 1998[Medline]

41. Gebauer M, Zeiner M, Gehring U: Proteins interacting with the molecular chaperone hsp70/hsc70: Physical associations and effects on refolding activity. FEBS Lett 417: 109-113, 1997[Medline]

42. Gebauer M, Zeiner M, Gehring U: Interference between proteins Hap46 and Hop/p60, which bind to different domains of the molecular chaperone hsp70/hsc70. Mol Cell Biol 18: 6238-6244, 1998[Abstract/Free Full Text]

43. Höhfeld J, Jentsch S: GrpE-like regulation of the Hsc70 chaperone by the anti-apoptotic protein BAG-1. EMBO J 16: 6209-6216, 1997[Medline]

44. Frydman J, Hohfeld J: Chaperones get in touch: The hip-hop connection. Trends Biochem Sci 22: 87-92, 1997[Medline]

46. Pietenpol JA, Papadopoulos N, Markowitz S, et al: Paradoxical inhibition of solid tumor cell growth by bcl-2. Cancer Res 54: 3714-3717, 1994[Abstract/Free Full Text]

47. Borner C: Diminished cell proliferation associated with the death-protective activity of Bcl-2. J Biol Chem 271: 12695-12698, 1996[Abstract/Free Full Text]

48. Huang DCS, O’Reilly LA, Strasser A, et al: The anti-apoptosis function of Bcl-2 can be genetically separated from its inhibitory effect on cell cycle entry. EMBO J 16: 4628-4638, 1997[Medline]

49. Haldar S, Chintapalli J, Croce CM: Taxol induces Bcl-2 phosphorylation and death of prostate cancer cells. Cancer Res 56: 1253-1255, 1996[Abstract/Free Full Text]

50. Itoh T, Deng X, Carr B, et al: Bcl-2 phosphorylation required for anti-apoptosis function. J Biol Chem 272: 11671-11673, 1997[Abstract/Free Full Text]

51. Chen J, Flannery JG, LaVail MM, et al.: bcl-2 overexpression reduces apoptotic photoreceptor cell death in three different retinal degenerations. Proc Natl Acad Sci U S A 93:7042-7047, 1996

Submitted December 8, 1999; accepted October 25, 2000.




This article has been cited by other articles:


Home page
CarcinogenesisHome page
N. K. Clemo, T. J. Collard, S. L. Southern, K. D. Edwards, M. Moorghen, G. Packham, A. Hague, C. Paraskeva, and A. C. Williams
BAG-1 is up-regulated in colorectal tumour progression and promotes colorectal tumour cell survival through increased NF-{kappa}B activity
Carcinogenesis, April 1, 2008; 29(4): 849 - 857.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
A. Y. Pandya, L. I. Talley, A. R. Frost, T. J. Fitzgerald, V. Trivedi, M. Chakravarthy, D. C. Chhieng, W. E. Grizzle, J. A. Engler, H. Krontiras, et al.
Nuclear Localization of KLF4 Is Associated with an Aggressive Phenotype in Early-Stage Breast Cancer
Clin. Cancer Res., April 15, 2004; 10(8): 2709 - 2719.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
M. Krajewska, S. Krajewski, S. Banares, X. Huang, B. Turner, L. Bubendorf, O.-P. Kallioniemi, A. Shabaik, A. Vitiello, D. Peehl, et al.
Elevated Expression of Inhibitor of Apoptosis Proteins in Prostate Cancer
Clin. Cancer Res., October 15, 2003; 9(13): 4914 - 4925.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
P. A. Townsend, R. I. Cutress, A. Sharp, M. Brimmell, and G. Packham
BAG-1 Prevents Stress-induced Long-term Growth Inhibition in Breast Cancer Cells via a Chaperone-dependent Pathway
Cancer Res., July 15, 2003; 63(14): 4150 - 4157.
[Abstract] [Full Text] [PDF]


Home page
Mol. Cell. Biol.Home page
W. J. Hung, R. S. Roberson, J. Taft, and D. Y. Wu
Human BAG-1 Proteins Bind to the Cellular Stress Response Protein GADD34 and Interfere with GADD34 Functions
Mol. Cell. Biol., May 15, 2003; 23(10): 3477 - 3486.
[Abstract] [Full Text] [PDF]


Home page
J. Biol. Chem.Home page
U. Schmidt, G. M. Wochnik, M. C. Rosenhagen, J. C. Young, F. U. Hartl, F. Holsboer, and T. Rein
Essential Role of the Unusual DNA-binding Motif of BAG-1 for Inhibition of the Glucocorticoid Receptor
J. Biol. Chem., February 7, 2003; 278(7): 4926 - 4931.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
B. C. Turner, M. Ottey, D. B. Zimonjic, M. Potoczek, W. W. Hauck, E. Pequignot, C. L. Keck-Waggoner, C. Sevignani, C. M. Aldaz, P. A. McCue, et al.
The Fragile Histidine Triad/Common Chromosome Fragile Site 3B Locus and Repair-deficient Cancers
Cancer Res., July 15, 2002; 62(14): 4054 - 4060.
[Abstract] [Full Text] [PDF]


Home page
Cancer Res.Home page
M. Kudoh, D. A. Knee, S. Takayama, and J. C. Reed
Bag1 Proteins Regulate Growth and Survival of ZR-75-1 Human Breast Cancer Cells
Cancer Res., March 1, 2002; 62(6): 1904 - 1909.
[Abstract] [Full Text] [PDF]


Home page
Clin. Cancer Res.Home page
J. Sjostrom, C. Blomqvist, K. von Boguslawski, N.-O. Bengtsson, I. Mjaaland, P. Malmstrom, B. Ostenstadt, E. Wist, V. Valvere, S. Takayama, et al.
The Predictive Value of bcl-2, bax, bcl-xL, bag-1, fas, and fasL for Chemotherapy Response in Advanced Breast Cancer
Clin. Cancer Res., March 1, 2002; 8(3): 811 - 816.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
R. I. Cutress, P. A. Townsend, A. C. Bateman, P.W.M. Johnson, K. Ryder, D. M. Barnes, G. Packham, B. C. Turner, and J. C. Reed
BAG-1 Immunostaining and Survival in Early Breast Cancer
J. Clin. Oncol., August 15, 2001; 19(16): 3706 - 3707.
[Abstract] [Full Text] [PDF]


Home page
BMJHome page
M. Parton, M. Dowsett, and I. Smith
Studies of apoptosis in breast cancer
BMJ, June 23, 2001; 322(7301): 1528 - 1532.
[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 Turner, B. C.
Right arrow Articles by Reed, J. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Turner, B. C.