Preoperative systemic treatment: prediction of responsiveness

Association between Immunohistochemical Expression of Topoisomerase IIα, Her2 and Hormone Receptors and Response to Primary Chemotherapy in Breast Cancer

The aim of this study was to evaluate the association between immunohistochemical expression of topoisomerase IIα, HER2 and hormone receptors and response to primary anthracycline-based chemotherapy in locally advanced breast cancer. We analyzed 109 medical charts of patients treated with primary anthracycline-based chemotherapy in the Women's Integral Health Care Center from 1996 to 2004. The clinical and pathological response to primary chemotherapy was associated with topoisomerase IIα and HER2 expression and hormone receptor negativity. Statistical analysis was performed using chi-squared, Fisher's exact test and Mann-Whitney test. No statistical association between clinical response and expression of topoisomerase IIa, HER2 and hormone receptor negativity was found. However, there was an association between complete pathological response and hormone receptor negativity (P = 0.0289). The present study suggested that these markers should not be considered predictors of response to primary anthracycline-based chemotherapy, and prospective studies must be designed for this purpose.

Inhibition of ERα/ERK/P62 cascades induces "autophagic switch" in the estrogen receptor-positive breast cancer cells exposed to gemcitabine

Several clinical trials revealed that estrogen receptor (ER) status had relevance to the response of mammary malignancy to chemotherapy. Autophagy has emerged as an important cellular mechanism of tumor cells in response to anticancer therapy. The aim of this study is to investigate whether gemcitabine induces autophagy, and more importantly, whether such autophagy is functional relevant to the therapeutic effects of gemcitabine in breast cancer cells in relation to the ER status. In our study, autophagy was induced both in ER⁺ MCF-7 and ER⁻ MDA-MB-231 cells by gemcitabine markedly, while the autophagy plays distinct roles – cytoprotective in ER⁻ MDA-MB-231 and cytotoxic in ER+ MCF-7 cells. Gemcitabine treatment leads to the activation of ERα-ERK-P62 signal pathway in MCF-7 cells which may augment the autophagic degradation, thus results in the excessive activation of autophagy and irreversible autophagic cell death eventually. Inhibition of ERα-ERK-P62 cascades in MCF-7 cells by small interfering RNA or PD98059 impairs the autophagic degradation, and leads to “autophagic switch” – from cytotoxic autophagy to cytoprotection. Moreover, stable overexpression of ERα in the ER⁻ BCap37 breast cancer cell line enhances the gemcitabine-induced autophagy flux and switches the autophagic cytoprotection in ER⁻ BCap37 to cytotoxicity effect in ER⁺ BCap37 cells. Our study firstly demonstrated that ER status influences gemcitabine efficacy via modulating the autophagy in breast cancer cells.

Progesterone Receptors, Pathological Complete Response and Early Outcome for Locally Advanced Breast Cancer - a Single Centre Study. (PPLB - 01)

Neoadjuvant chemotherapy (NACT) for locally advanced breast cancer (LABC), apart from increasing breast conservation rates, also provides an opportunity to assess tumour response to chemotherapy, with Pathological Complete Response (pCR) described as an independent prognostic factor and a surrogate marker for better outcome and survival. Our primary aim was to identify clinical and pathological factors associated with pCR following NACT in patients with LABC treated at our institution. Our secondary aim was to analyze the impact of pCR and associated factors on disease free survival (DFS) and overall survival (OS). A retrospective analysis of LABC patients treated with NACT between Jun 2011 and Dec 2013. Clinical and histological variables were analyzed for association with pCR (no invasive or in situ carcinoma in breast or axillary lymph nodes). Kaplan-Meier curves and Cox regression model was used for survival analysis. All values were twosided, and statistical significance was defined as p < 0.05. 240 patients were included. The median tumor size was 6 cm, with T4 disease in 49.8 %. 45 % of tumors were of low grade (G1 + G2) and 53.8 % of high grade (G3). Estrogen Receptor (ER) was positive in 70.8 %, progesterone receptor (PR) in 53.3 % and Her2 in 38.8 %. The preferred NACT regimen was sequential anthracycline and taxane and 88.8 % of patients received this regimen. Of 93 potential Her2 Positive patients, only 23 received trastuzumab. Overall 23.2 % patients had pCR. At median follow up of 21 months (range, 3-42), 16.3 % of patients had recurrent disease, and 6.7 % had died. High tumor grade (p = 0.04), PR negative status (p < 0.01) and trastuzumab treatment (p = 0.01) were significant predictors of pCR in univariate analysis. On multivariate analysis PR negativity (OR 3.2, 95 % CI = 1.6 to 6.04, p = 0.001) and Trastuzumab use (OR 0.24, 95 % CI = 0.1 to 0.6, p = 0.004) were significant. Patients with pCR had positive associations with survival (p < .02,OS& .02,DFS) and interestingly PR positivity had positive association with DFS (p = 0.02) in Kaplan-Meier curves. On Cox regression, PR positivity (HR = 0.3, p < 0.01) and pCR (HR = 0.2, p < 0.01) correlated with DFS, though not with early OS. for the PR positive patients were paradoxical. Though less likely to have pCR (15 %, vs 32 % if PR negative), they had better DFS (p = 0.02), and achieving pCR had no survival benefit in this group. In contrast, PR negative patients, irrespective of ER status, had a high pCR rate, and achieving pCR had survival advantage (p < 0.05,DFS& p < 0.02,OS). PR negative patients without pCR had the worst DFS (p < 0.01) among all. High grade and Trastuzumab treatment as predictors of pCR, and pCR as a surrogate marker for survival are well recognized, and are supported by our findings. In present cohort, PR negativity showed prognostic importance independent of ER status. However these results were derived from sub-group, post-hoc analysis of data from a pre-existing cohort, without 'a-priori' hypothesis for survival analysis in relation to PR. These "hypothesis generating" results need confirmation by a well-designed prospective cohort or a randomized trial.

Radiotherapy plus concomitant adjuvant temozolomide for glioblastoma: Japanese mono-institutional results

This study was conducted to investigate the feasibility and survival benefits of combined treatment with radiotherapy and temozolomide (TMZ), which has been covered by the national health insurance in Japanese patients with glioblastoma since September 2006. Between September 2006 and December 2011, 47 patients with newly diagnosed and histologically confirmed glioblastoma received radiotherapy for 60 Gy in 30 fractions. Among them, 45 patients (TMZ group) received concomitant TMZ (75 mg/m²/day, every day) and adjuvant TMZ (200 mg/m²/day, 5 days during each 28-days). All 36 of the glioblastoma patients receiving radiotherapy between January 1988 and August 2006 were analyzed as historical controls (control group). All patients were followed for at least 1 year or until they died. The median survival was 15.8 months in the TMZ group and 12.0 months in the control group after a median follow-up of 14.0 months. The hazard ratio for death in the TMZ group relative to the control group was 0.52 (P<0.01); the 2-year survival rate was 27.7% in the TMZ group and 14.6% in the control group. Hematologic toxicity of grade 3 and higher was observed in 20.4% in the TMZ group. Multivariate analysis showed that extent of surgery had the strongest impact on survival (P<0.01), while the use of TMZ had the second largest impact on survival (P = 0.035). The results indicate that combined treatment with radiotherapy and TMZ has a significant survival benefit for Japanese patients with newly diagnosed glioblastoma with slightly higher toxicities than previously reported.

Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry

The proliferation marker Ki-67 is one of the most controversially discussed parameters for treatment decisions in breast cancer patients. The purpose of this study was to evaluate the routine use and value of Ki-67 as a prognostic marker, and to analyze the associations between Ki-67 and common histopathological parameters in the routine clinical setting. Data from the clinical cancer registry Regensburg (Bavaria, Germany) were analyzed. Within the total data pool of 4,692 female patients, who had been diagnosed between 2005 and 2011, in 3,658 cases Ki-67 was routinely determined. Thus, a total of 3,658 patients with invasive breast cancer were included in the present study and used for statistical analysis. Ki-67 expression was associated with the common histopathological parameters. The strongest correlation was found between grading and Ki-67 (P < 0.001). In terms of survival analyses, Ki-67 was categorized into five categories (reference category Ki-67 ≤15 %) due to a nonlinear relationship to overall survival (OS). In multivariable analysis, Ki-67 was an independent prognostic parameter both for disease-free survival (DFS) (Ki-67 > 45 %, HR = 1.96, P = 0.001) as well as for OS (Ki-67: 26-35 %, HR = 1.71, P = 0.017; Ki-67: 36-45 %, HR = 2.05, P = 0.011; Ki-67 > 45 %, HR = 2.06, P = 0.002) independent of common clinical and histopathological factors. The 5-year DFS (OS) rate was 86.7 % (89.3 %) in patients with a Ki-67 value ≤15 % compared to 75.8 % (82.8 %) in patients with a Ki-67 value >45 %. Based on the data from a large cohort of a clinical cancer registry, it was demonstrated that Ki-67 is frequently determined in routine clinical work. Ki-67 expression is associated with common histopathological parameters, but is an additional independent prognostic parameter for DFS and OS in breast cancer patients. Future work should focus on standardization of Ki-67 assessment and specification of its role in treatment decisions.

Mass spectrometry (LC-MS/MS) identified proteomic biosignatures of breast cancer in proximal fluid

We have begun an early phase of biomarker discovery in three clinically important types of breast cancer using a panel of human cell lines: HER2 positive, hormone receptor positive and HER2 negative, and triple negative (HER2-, ER-, PR-). We identified and characterized the most abundant secreted, sloughed, or leaked proteins released into serum free media from these breast cancer cell lines using a combination of protein fractionation methods before LC-MS/MS mass spectrometry analysis. A total of 249 proteins were detected in the proximal fluid of 7 breast cancer cell lines. The expression of a selected group of high abundance and/or breast cancer-specific potential biomarkers including thromobospondin 1, galectin-3 binding protein, cathepsin D, vimentin, zinc-α2-glycoprotein, CD44, and EGFR from the breast cancer cell lines and in their culture media were further validated by Western blot analysis. Interestingly, mass spectrometry identified a cathepsin D protein single-nucleotide polymorphism (SNP) by alanine to valine replacement from the MCF-7 breast cancer cell line. Comparison of each cell line media proteome displayed unique and consistent biosignatures regardless of the individual group classifications, demonstrating the potential for stratification of breast cancer. On the basis of the cell line media proteome, predictive Tree software was able to categorize each cell line as HER2 positive, HER2 negative, and hormone receptor positive and triple negative based on only two proteins, muscle fructose 1,6-bisphosphate aldolase and keratin 19. In addition, the predictive Tree software clearly identified MCF-7 cell line overexpresing the HER2 receptor with the SNP cathepsin D biomarker.

Classical and Novel Prognostic Markers for Breast Cancer and their Clinical Significance

The use of biomarkers ensures breast cancer patients receive optimal treatment. Established biomarkers such as estrogen receptor (ER) and progesterone receptor (PR) have been playing significant roles in the selection and management of patients for endocrine therapy. HER2 is a strong predictor of response to trastuzumab. Recently, the roles of ER as a negative and HER2 as a positive indicator for chemotherapy have been established. Ki67 has traditionally been recognized as a poor prognostic factor, but recent studies suggest that measurement of Ki67-positive cells during treatment will more effectively predict treatment efficacy for both anti-hormonal and chemotherapy. p53 mutations are found in 20–35% of human breast cancers and are associated with aggressive disease with poor clinical outcome when the DNA-binding domain is mutated. The utility of cyclin D1 as a predictor of breast cancer prognosis is controversial, but cyclin D1b overexpression is associated with poor prognosis. Likewise, overexpression of the low molecular weight form of cyclin E1 protein predicts poor prognosis. Breast cancers from BRCA1/2 carriers often show high nuclear grades, negativity to ER/PR/HER2, and p53 mutations, and thus, are associated with poor prognosis. The prognostic values of other molecular markers, such as p14^ARF, TBX2/3, VEGF in breast cancer are also discussed. Careful evaluation of these biomarkers with current treatment modality is required to determine whether their measurement or monitoring offer significant clinical benefits.

[Neoadjuvant systemic therapy in breast cancer]

Neoadjuvant (preoperative) systemic therapy is a good possibility for the treatment of symptomatic breast cancers of the locoregional stage. Chemotherapy or hormone therapy chosen according to the characteristics of the primary tumor, result in the regression of the tumor in the majority of the cases, favoring breast conserving surgery thereafter. The long-term effects of neoadjuvant systemic therapy are equivalent to that of adjuvant therapy, and the in vivo observed efficiency of the treatment reflects prognosis. Finally, systemic therapy introduced prior to surgery is not delayed by the possible adverse effects of the surgery. Detailed examination of the tumor and the patient is mandatory before starting systemic therapy. Besides breast imaging and histological examinations, staging is necessary. Pathological characterization of the tumor will enhance treatment choice based on the features of chemo- or hormone-sensitivity. For the treatment of chemosensitive tumors, taxane- and anthracycline-based polychemotherapy is the most efficacious. Data on neoadjuvant hormone therapy have been provided by studies on postmenopausal patients. Since the aromatase inhibitors are more efficient than tamoxifen, their use is the first option in this patient population. Among the molecular targeted agents, trastuzumab combined with chemotherapy produces extending therapeutic response rate. Following the completion of the neoadjuvant systemic therapy, breast imaging is required once more before performing breast and lymph node surgery. Postoperative radiotherapy is generally needed. The use of a common language and professional guidelines by the members of the multidisciplinary breast team is a condition for neoadjuvant systemic therapy.

Predictive value of tumor Ki-67 expression in two randomized trials of adjuvant chemoendocrine therapy for node-negative breast cancer

Several small studies have reported that having a high percentage of breast tumor cells that express the proliferation antigen Ki-67 (ie, a high Ki-67 labeling index) predicts better response to neoadjuvant chemotherapy. However, the predictive value of a high Ki-67 labeling index for response to adjuvant chemotherapy is unclear. To investigate whether Ki-67 labeling index predicts response to adjuvant chemoendocrine therapy, we assessed Ki-67 expression in tumor tissue from 1924 (70%) of 2732 patients who were enrolled in two randomized International Breast Cancer Study Group trials of adjuvant chemoendocrine therapy vs endocrine therapy alone for node-negative breast cancer. A high Ki-67 labeling index was associated with other factors that predict poor prognosis. Among the 1521 patients with endocrine-responsive tumors, a high Ki-67 labeling index was associated with worse disease-free survival but the Ki-67 labeling index did not predict the relative efficacy of chemoendocrine therapy compared with endocrine therapy alone. Thus, Ki-67 labeling index was an independent prognostic factor but was not predictive of better response to adjuvant chemotherapy in these studies.

Evidence-Based Neoadjuvant Endocrine Therapy for Breast Cancer

Breast cancer is the most common malignancy among women in Western countries. The management of patients with nonmetastatic breast cancer with primary endocrine therapy has evolved dramatically in the past decade. Neoadjuvant treatment has been used to turn inoperable tumors into operable tumors and also to downstage tumors. Hormone receptor-positive breast tumors exposed to neoadjuvant chemotherapy have lower rates of pathologic complete response than hormone receptor-negative tumors. Recently, clinical trials showed an increased response rate and a higher rate of breast-conserving surgery with aromatase inhibitors compared with tamoxifen. Exploratory data suggest that predictive markers of response include a higher estrogen receptor expression level and a negative HER2 status. With the introduction of "biologic" agents and surrogate markers like Ki-67, several studies are evaluating which patients are more likely to respond to preoperative hormonal agents. This review summarizes recent data on neoadjuvant endocrine therapy for breast cancer and the implication of predictive markers of response into clinical practice and future research.

Prognostic significance of residual breast disease and axillary node involvement for patients who had primary induction chemotherapy for advanced breast cancer

BACKGROUND

We performed this study to determine the prognostic significance of clinical tumor size, pathologic measurement of residual tumor, and number of positive axillary nodes in the surgical specimen relative to overall survival for patients who underwent primary induction chemotherapy for advanced breast cancer.

METHODS

Data, collected prospectively between 1997 and 2002, included clinical tumor-node-metastasis stage, age at diagnosis, hormone receptor status, type of preoperative chemotherapy, histological type, surgical procedure, pathologic measurement in centimeters of residual breast tumor, and the number of positive axillary nodes in the surgical specimen. Univariable correlates of residual breast disease were assessed by using the chi2 test. Recursive partitioning analysis was used to determine the prognostic significance of clinical tumor size, residual tumor size, and pathologic node involvement relative to overall survival. Survival was estimated by using the method of Kaplan and Meier and compared by using the log-rank test. A P value of <.05 was considered significant.

RESULTS

Data were available for 85 patients with advanced breast cancer. Although univariable analysis identified increasing age, clinically involved axillary nodes, and a higher clinical tumor-node-metastasis stage as predictors of an increased risk of residual disease, recursive partitioning analysis identified more than three involved axillary nodes in the surgical specimen, with or without any measurable residual breast disease, as the most significant predictor of decreased survival (P<.001).

CONCLUSIONS

Pathologic axillary node involvement was the most significant predictor of decreased survival for patients who had undergone primary induction chemotherapy for advanced breast cancer.

Role of MIB1 in predicting survival in patients with glioblastomas

BACKGROUND

Histologic immunomarkers of cell cycle proteins have been utilized for prognosis in high-grade astrocytic tumors. One such marker, MIB1, an antibody immunoreactive throughout the cell cycle, is predictive of more aggressive disease and poorer prognosis in astrocytomas. An independent role of MIB1 analysis for survival prediction and clinical management within histologic grades has not been clearly proven.

METHODS

This study retrospectively evaluated MIB1 reactivity in tissue samples from 116 patients with glioblastomas on initial medical presentation. Clinical variables considered included gender, age, Karnofsky Performance Scores (KPS), extent of surgical resection, adjuvant radiation and survival.

RESULTS

Univariate and multivariate analyses were used to correlate these variables with MIB1 staining. MIB1 staining does not predict overall survival or response to adjuvant therapy as an independent risk factor.

CONCLUSION

MIB1 labeling does not predict patient survival as an independent variable and does not predict response to additional therapies. Patient survival with glioblastoma was predicted by KPS, age, extent of resection and use of adjuvant radiotherapy.

High thioredoxin expression is associated with resistance to docetaxel in primary breast cancer

PURPOSE

Thioredoxin overexpression is suggested to be associated with resistance to several chemotherapeutic agents in vitro. In the present study, it has been studied whether or not high thioredoxin expression is associated with resistance to docetaxel therapy in breast cancer patients.

PATIENTS AND METHODS

Sixty-three primary breast cancer patients were treated with docetaxel (60 mg/m(2), q3w) for four cycles in the neoadjuvant setting. Expression of thioredoxin, estrogen receptor (ER), p53, BRCA-1, and Bcl-2 in tumor tissues obtained before docetaxel therapy was studied by immunohistochemistry (thioredoxin, p53, BRCA-1, and Bcl-2) and enzyme immunoassay (ER), and relationship of expression of these biomarkers with a pathologic response was investigated.

RESULTS

There was no significant correlation between the expression of p53, BRCA-1, or Bcl-2 and a response to docetaxel. However, tumors with high thioredoxin expression showed a significantly lower response rate (0%) than those with low thioredoxin expression (30.6%; P = 0.018) and ER-negative tumors showed a significantly higher response rate (32.4%) than ER-positive tumors (10.7%; P = 0.043). Thioredoxin expression significantly increased after docetaxel therapy (mean, 56.1%) as compared with that before docetaxel therapy (mean, 28.6%; P < 0.0001) but there was no significant association between the extent of increase in thioredoxin expression and response.

CONCLUSION

High thioredoxin expression in prechemotherapy tumor samples, but not the increase in thioredoxin expression induced by docetaxel, is associated with resistance to docetaxel in breast cancer. Thioredoxin and ER might be clinically useful in the prediction of a response to docetaxel.

Proliferative markers as prognostic and predictive tools in early breast cancer: where are we now?

In the last few decades, proliferative markers have been broadly evaluated as prognostic and predictive factors for early stage breast cancer patients. Several papers evaluating one or more markers have been published, often with contradictory results. As a consequence, there is still uncertainty about the role of these proliferative markers. The present paper critically reviews the current knowledge about the following markers: thymidine labeling index, S phase fraction/flow cytometry, Ki 67, thymidine kinase (TK), cyclins E, cyclin D, the cyclin inhibitors p27 and p21, and topoisomerase IIalpha. For each marker, the prognostic and predictive role was separately analyzed. Only papers published in English in peer-reviewed journals before June 2004 that include at least 100 evaluable patients were selected. In addition, the prognostic and predictive role of the proliferative markers had to be assessed through multivariate analyses. One hundred and thirty-two papers fulfilled these criteria and 159 516 patients were analyzed. Unfortunately, several methodological problems in the research to date prevent us from including any one of these proliferative markers among the standard prognostic and predictive factors. Early incorporation of translational research and new technologies with clinical trials are needed to prospectively validate biological markers and allow their use in clinical practice.

Predictive Value of Biologic Parameters for Primary Chemotherapy in Operable Breast Cancer

Primary chemotherapy represents an ideal model to evaluate the relationships between treatments and the prognostic and predictive parameters provided by the new technologies. First- and second-generation trials have shown that primary chemotherapy significantly improves the rate of breast conservation without increasing the risk of ipsilateral recurrence and while assuring survival rates comparable with those achieved with postoperative chemotherapy. Moreover, patients who exhibited a pathologic complete response (pCR) showed better progression-free survival and overall survival. The third-generation trials were aimed at improving the percentage of pCR, identifying and validating gene and protein biomarkers of chemotherapy sensitivity, and better defining the individual risk of relapse. Several parameters, such as index of proliferation and apoptosis, expression of proteins (eg, p53 and Bcl-2), and hormone receptor and epidermal growth factor family receptors, have been related to response to primary chemotherapy. Negative hormone receptors and greater proliferative activity seem to be the only parameters more consistently associated with greater chemotherapy sensitivity. However, the strength of this association is not sufficient to differentiate patients at different degrees of risk and does not allow for an individualized therapeutic choice. Newer technologies offer the possibility of evaluating thousands of genes and identifying clusters of gene expression associated with significantly different risks of relapse and patterns of sensitivity/resistance to specific drugs. The primary chemotherapy model is the ideal clinical setting in which to validate the relationship between tumor molecular profiling and treatment outcomes and to design tailored therapies based on observed effects on individual tumors.

Predicting response to systemic treatments: learning from the past to plan for the future

Therapeutic effects of adjuvant therapies for breast cancer have been assessed "across the board" and implemented using the principle that if a treatment is effective "on average" then it is effective "for all patients." Exploration and improved understanding of the biological basis for predicting response to available adjuvant therapies is essential to enhance patient care. As illustration, we consider the effects of chemotherapy and tamoxifen in two International Breast Cancer Study Group (IBCSG) trials for postmenopausal women. The level of estrogen receptor (ER) expression in the primary tumor is a powerful predictor of response to adjuvant therapy. Absence of ER identifies a chemosensitive cohort for which concurrent tamoxifen significantly blunts the large chemotherapy effect. High levels of ER expression are associated with good results using tamoxifen alone; adding chemotherapy provides little additional benefit. By contrast, adding chemotherapy to tamoxifen provides additional benefit for patients with node-positive disease and tumors expressing intermediate levels of ER. Identification of chemosensitive targets, e.g., absence of PgR, in tumors with intermediate ER expression is required to further tailor, adding chemotherapy within this otherwise endocrine-responsive cohort. Age is not a therapeutic target. Thus, the biological bases for treatment responsiveness must be defined. All findings from clinical trials and meta-analyses should be presented primarily according to steroid hormone receptor status and future studies should be designed as tailored treatment investigations.

Patterns of Local and Distant Disease Relapse in Patients with Breast Cancer Treated with Primary Chemotherapy: Do Patients with a Complete Pathological Response Differ from Those with Residual Tumour in the Breast?

This study aimed to evaluate patterns of local and distant disease recurrence in patients having primary chemotherapy and compared patterns of relapse in patients with a complete pathological response with those who had residual breast disease. This is an observational study using a sequential series of patients treated with primary chemotherapy. They were followed up for a minimum of 5 years. All data was collected prospectively. Three hundred forty-one consecutive patients with breast cancer were treated with up to eight cycles of doxorubicin-based chemotherapy. Clinical and pathological response rates were evaluated and patients were followed up for disease recurrence (local and distant) and overall survival. Fifty-two patients (16.5%) had a complete pathological response to chemotherapy. Distant disease recurrence occurred in nine patients (17.3%) but no local recurrence was observed. In patients not having a complete pathological response, 86 patients (32.6%) subsequently developed metastases. Local recurrence of disease occurred in 12 (4.5%). There was a statistically significant difference in overall survival between patients whose tumours had a complete pathological response compared with patients who had residual disease in the breast following chemotherapy (88% versus 70% at 5 years, p = 0.036). Following primary chemotherapy, about 84% of patients had residual disease in the breast. Surgery is necessary to ensure complete removal of residual tumour and excellent rates of local control are achievable. A complete pathological response is associated with fewer local and distant recurrences as well as improved survival although there are no differences in time to development of metastatic relapse.

Bringing Molecular Prognosis and Prediction to the Clinic

In the past 30 years, important advances have been made in the knowledge of breast cancer biology and in the treatment of the disease. However, the translation of these advances into clinical practice has been slow. With the advent of molecular-based medicine, it is hoped that the bridge between the bench and the bedside will continue to be shortened. Because breast cancer is a heterogeneous disease with wide-ranging subsets of patients who have different prognoses and who respond differently to treatments, the identification of patients who need treatment and the definition of the best therapy for an individual have become the priorities in breast cancer care. This article will review the crucial role of prognostic and predictive factors in achieving these goals. A critical review of classical and newer individual molecular markers, such as hormone receptors, HER2, urokinase-type plasminogen activator and plasminogen activator inhibitor 1, cyclin E, topoisomerase II, and p53, was performed, and the preliminary results obtained using the new gene expression profiling technology are described along with their potential clinical implications.

A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen

Tamoxifen significantly reduces tumor recurrence in certain patients with early-stage estrogen receptor-positive breast cancer, but markers predictive of treatment failure have not been identified. Here, we generated gene expression profiles of hormone receptor-positive primary breast cancers in a set of 60 patients treated with adjuvant tamoxifen monotherapy. An expression signature predictive of disease-free survival was reduced to a two-gene ratio, HOXB13 versus IL17BR, which outperformed existing biomarkers. Ectopic expression of HOXB13 in MCF10A breast epithelial cells enhances motility and invasion in vitro, and its expression is increased in both preinvasive and invasive primary breast cancer. The HOXB13:IL17BR expression ratio may be useful for identifying patients appropriate for alternative therapeutic regimens in early-stage breast cancer.