Primary chemotherapy in breast invasive carcinoma: predictive value of the immunohistochemical detection of hormonal receptors, p53, c-erbB-2, MiB1, pS2 and GST pi

Is Ki-67 Really Useful as a Predictor for Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer?

Neoadjuvant chemotherapy (NACT) is routinely offered to operable locally advanced breast cancer (LABC) patients desirous of breast conservation surgery and inoperable LABC patients. Pathological complete response (pCR) following chemotherapy is recognized as a surrogate for survival outcomes in high grade tumour subtypes. Many biological and tumor characters have been shown to predict pCR. The current study was performed with the aim of investigating the ability of Ki-67 in predicting pCR with NACT in breast cancer patients. A total of 105 patients with locally advanced breast cancer who completed NACT followed by surgery were included in this study from January 2020 till December 2022. Patients with advanced metastatic breast carcinoma, who did not give consent for NACT, who did not complete NACT and who did not undergo surgery were excluded. All patients were assessed for Ki-67 score on core-needle biopsy samples and response rate was assessed clinically and by histopathological examination of resected specimen. Quantitative variables were compared using unpaired t-test or Mann-Whitney 'U' test and for categorical variables Chi-square or Fisher's exact test were used. Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive potential of Ki-67 expression levels in predicting pCR. To identify the predictive factors associated with pCR, univariate analysis was performed. The P value < 0.05 was considered as statistically significant. Mean age was 51.57 ± 10.8 years. 51 patients achieved clinical complete response (cCR) and 33 achieved pCR after NACT. Mean Ki-67 index in overall study population, in pCR group and no pCR group was 46.44 ± 22.92%, 51.60 ± 22.3% and 44.06 ± 22.7%, respectively. On univariate analysis, ER negativity, PR negativity and Her 2neu positivity were found predictive of pCR. On subgroup analysis, TNBC and Her 2neu positive sub groups were associated with higher cCR and pCR rate. We found no significant association between Ki-67 and pCR. This result may be confounded by the fact that a significant duration of the study was in the COVID-19 pandemic. Validation of this data is required in a large prospective study.

Locally Advanced Breast Cancer: Response Evaluation to Neoadjuvant Chemotherapy by Clinico-Histopathological Parameters and Molecular Imaging

In India, breast cancer (BC) is not only the commonest cancer but also the commonest cause of cancer mortality among females. Advanced BC constitutes >70% of BC cases at initial presentation in India, among which locally advanced breast cancer (LABC) requires a multi-disciplinary approach with a combination of systemic and locoregional therapies. This descriptive hospital-based study was conducted over 1½ years after seeking approval from the institutional ethics committee. Fifty-five patients satisfying all the criteria of the study were enrolled. The data, thus, collected was pooled into Excel spreadsheet and analyzed using appropriate statistical tools. Most of the patients were postmenopausal, multiparous with breast lump being the commonest symptom. Mean baseline characteristics were age - 48 years, SUV max - 9.2, and Ki-67 - 17.8%. cT4 and cN2 were the commonest pre-NACT tumor and lymph node stage. Invasive ductal carcinoma was the commonest tumor type with the most common tumor grade being grade 3. Hormone receptor positivity and HER2 overexpression were seen in 33 and 17 patients respectively. Post-NACT 32 patients underwent breast-conserving surgery. Pathological complete response (pCR), i.e., ypT0N0, was seen in 13 patients (23.6%). There was slight alteration in hormone receptor status, HER2 expression and Ki-67 in the post-NACT resected tumor. pCR, which is a surrogate marker for improved clinical outcome (DFS and OS) in LABC patients, occurred more commonly in patients with pre-NACT grade 3 tumors, high Ki-67, hormone receptor-negative, and HER2 overexpressing BC (overall, in triple negative BC) but was statistically significant only with Ki-67. Post-NACT, SUV max with a cut off ≤1.5, and ΔSUV max of >80% correlated closely with pCR.

MRI radiogenomics for intelligent diagnosis of breast tumors and accurate prediction of neoadjuvant chemotherapy responses-a review

BACKGROUND AND OBJECTIVE

This paper aims to overview multidimensional mining algorithms in relation to Magnetic Resonance Imaging (MRI) radiogenomics for computer aided detection and diagnosis of breast tumours. The work also aims to address a new problem in radiogenomics mining: how to combine structural radiomics information with non-structural genomics information for improving the accuracy and efficacy of Neoadjuvant Chemotherapy (NAC).

METHODS

This requires the automated extraction of parameters from non-structural breast radiomics data, and finding feature vectors with diagnostic value, which then are combined with genomics data. In order to address the problem of weakly labelled tumour images, a Generative Adiversarial Networks (GAN) based deep learning strategy is proposed for the classification of tumour types; this has significant potential for providing accurate real-time identification of tumorous regions from MRI scans. In order to efficiently integrate in a deep learning framework different features from radiogenomics datasets at multiple spatio-temporal resolutions, pyramid structured and multi-scale densely connected U-Nets are proposed. A bidirectional gated recurrent unit (BiGRU) combined with an attention based deep learning approach is also proposed.

RESULTS

The aim is to accurately predict NAC responses by combining imaging and genomic datasets. The approaches discussed incorporate some of the latest developments in of current signal processing and artificial intelligence and have significant potential in advancing and provide a development platform for future cutting-edge biomedical radiogenomics analysis.

CONCLUSIONS

The association of genotypic and phenotypic features is at the core of the emergent field of Precision Medicine. It makes use of advances in biomedical big data analysis, which enables the correlation between disease-associated phenotypic characteristics, genetics polymorphism and gene activation to be revealed.

Artificial Intelligence in Breast MRI Radiogenomics: Towards Accurate Prediction of Neoadjuvant Chemotherapy Responses

Neoadjuvant Chemotherapy (NAC) in breast cancer patients has considerable prognostic and treatment potential and can be tailored to individual patients as part of precision medicine protocols. This work reviews recent advances in artificial intelligence so as to enable the use of radiogenomics for accurate NAC analysis and prediction. The work addresses a new problem in radiogenomics mining: How to combine structural radiomics information and non-structural genomics information for accurate NAC prediction. This requires the automated extraction of parameters from structural breast radiomics data, and finding non-structural feature vectors with diagnostic value, which then are combined with genomics data acquired from exocrine bodies in blood samples from a cohort of cancer patients to enable accurate NAC prediction. A self-attention-based deep learning approach, along with an effective multi-channel tumour image reconstruction algorithm of high dimensionality, is proposed. The aim was to generate non-structural feature vectors for accurate prediction of the NAC responses by combining imaging datasets with exocrine body related genomics analysis.

Prognostic Significance of HER2 Expression Changes Following Neoadjuvant Chemotherapy in Saudi Patients With Locally Advanced Breast Cancer

BACKGROUND

Progesterone receptor (PR), estrogen receptor (ER), and human epidermal growth factor receptor 2 (HER2) significantly influence disease prognosis and therapeutic response in patients with breast cancer. Neoadjuvant chemotherapy (NACT) can change the receptor status, affecting the disease characteristics.

PATIENTS AND METHODS

A retrospective chart review was carried out at a single tertiary care hospital in Riyadh, Kingdom of Saudi Arabia, from December 2008 to December 2014, where 91 adult female patients diagnosed with locally advanced breast cancer planning to receive NACT were included. Original pathology and surgical histopathology reports were assessed, and patients were followed up to recurrence, death, or until December 2019. An expression for the ER, PR, and HER2 was carried out in pre and post NACT specimens by an experienced pathologist, and all HER2 with 2+ immunohistochemistry was sent for fluorescence in situ hybridization as per American Society of Clinical Oncology guidelines.

RESULTS

ER pre- and postoperatively changed from positive to negative in 17.6% of patients and from negative to positive in 1.1% of patients (P < .001). ER status remained stable in 81.3% of patients. PR changed from positive to negative in 13.2% of patients, and from negative to positive in 3.3% of patients (P < .001), whereas it remained stable in 83.5% of patients. HER2 changed from positive to negative in 11% of patients, and from negative to positive in 5.5% of patients (P < .001), and it remained stable in 83.5% of patients. No significant association was found between overall survival and disease-free-survival with HER2 expression change.

CONCLUSION

NACT can induce changes in the ER, PR, and HER2 status, which should be evaluated post-NACT to choose the optimal treatment regimens.

Predictive and Prognostic Role of P53 According to Tumor Phenotype in Breast Cancer Patients Treated with Preoperative Chemotherapy: A Single-Institution Analysis

Introduction and aims

The p53 protein is a mediator of the cellular response to DNA damage. The aim of this study was to evaluate the predictive and/or prognostic value of p53 expression in relation to the molecular subtypes of breast cancer in patients treated with preoperative chemotherapy.

Patients and methods

Patients with stage II-III breast cancer were included in the study. The expression of p53 was evaluated by immunohistochemistry on the diagnostic core biopsy specimen. Patients received 4–6 courses of preoperative chemotherapy. Pathological complete response (pCR) was defined as complete disappearance of invasive tumor in the breast and axillary lymph nodes.

Results

154 patients were included in the study and the molecular subtypes of their tumors were classified as follows: triple negative 18.2%, hormone receptor positive 60.4%, and HER2 positive 21.4%. p53 was expressed in 43.5% of the patients. A significant association between p53 expression and breast cancer molecular subtypes, tumor differentiation, and proliferation was observed. pCR was achieved in 8 patients (5.2%). p53 expression, molecular subtype, and nuclear grading were significant predictors of pCR (odds ratio for pCR in patients with p53-expressing tumors 10.03, p=0.0077). In univariate analysis, the expression of p53 as well as high proliferation and lymph node involvement after preoperative chemotherapy were predictors of a worse disease-free survival. Patients with p53 positivity also had a worse overall survival. In multivariate analysis, both p53 expression and nodal status after preoperative chemotherapy were significantly associated with disease-free and overall survival: the hazard ratios for relapse and death in patients with p53-expressing versus non-p53-expressing tumors were 2.29 (p=0.015) and 7.74 (p=0.002), respectively. The hazard ratios for relapse and death in node-positive versus node-negative patients were 3.63 (p=0.003) and 3.64 (p=0.041), respectively.

Conclusions

In this series of patients, p53 expression was significantly associated with markers of aggressive tumor biology, and with a higher likelihood of attaining pCR. p53 expression was a negative prognostic parameter for disease-free and overall survival in univariate and multivariate analysis.

Expression of cell cycle markers is predictive of the response to primary systemic therapy of locally advanced breast cancer

We aimed to analyze to what extent expression of four cell cycle regulation markers-minichromosome maintenance protein (MCM2), Ki-67, cyclin A, and phosphohistone-H3 (PHH3)-predict response to primary systemic therapy in terms of pathological complete remission (pCR). In search of an accurate and reproducible scoring method, we compared computer-assisted (CA) and routine visual assessment (VA) of immunoreactivity. We included 57 patients with breast cancer in the study. The cell cycle markers were detected using immunohistochemistry on pre-therapy core biopsy samples. Parallel CA (validated by manual labeling) and standard VA were performed and compared for diagnostic agreement and predictive value for pCR. CA and VA results were dichotomized based on receiver operating characteristic analysis defined optimal cut-off values. "High" was defined by staining scores above the optimal cut-off, while "low" had staining scores below the optimal cut-off. The CA method resulted in significantly lower values for Ki-67 and MCM2 compared to VA (mean difference, -3.939 and -4.323). Diagnostic agreement was highest for cyclin A and PHH3 (-0.586 and -0.666, respectively). Regardless of the method (CA/VA) used, all tested markers were predictive of pCR. Optimal cut-off-based dichotomization improved diagnostic agreement between the CA and VA methods for every marker, in particular for MCM2 (κ = 1, p < 0.000). Cyclin A displayed excellent agreement (κ = 0.925; p < 0.000), while Ki-67 and PHH3 showed good agreement (κ = 0.789, p < 0.000 and κ = 0.794, p < 0.000, respectively). We found all cell cycle markers (Ki-67, MCM2, cyclin A, and PHH3) predictive of pCR. Diagnostic agreement between CA and VA was better at lower staining scores but improved after optimal cut-off-based dichotomization.

Correlation between the expression of S100A4 and the efficacy of TAC neoadjuvant chemotherapy in breast cancer

The aim of this study was to investigate the correlation between the expression of S100A4 and the efficacy of neoadjuvant chemotherapy in breast cancer. A total of 65 patients with invasive breast cancer were treated with neoadjuvant chemotherapy using the TAC regimen. The expression of S100A4 was detected by an immunohistochemical two-step method prior to treatment, after 2 cycles of chemotherapy and after 4 cycles of chemotherapy. Pathological evaluations of the chemotherapy were performed using the Miller and Payne (MP) grading system and their correlation with the changes of S100A4 expression during and after the treatment were explored. Between pre-neoadjuvant chemotherapy and 4 cycles post-chemotherapy, there was a significant difference in the expression of S100A4 (P<0.05); S100A4 expression was associated with neoadjuvant chemotherapy. However, between pre-neoadjuvant chemotherapy and 2 cycles post-chemotherapy, there was no significant difference in the expression of S100A4 (P>0.05). The intensity and changes of S100A4 expression were positively correlated with the efficacy of neoadjuvant chemotherapy (r=0.259, P<0.05). When patients with an MP grade of I or II following the second cycle of neoadjuvant chemotherapy were continually treated with the original chemotherapy for another 2 cycles, the desired effect was generally not achieved. S100A4 may be used as a predictor of the efficacy of neoadjuvant chemotherapy in breast cancer, guiding the formulation of individualized programs to improve the effectiveness of the treatment. For patients with an MP grade level of I or II after 2 cycles of neoadjuvant chemotherapy, the use of alternative chemotherapy regimens should be considered.

Radiological and Pathological Predictors of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Brief Literature Review

BACKGROUND

Early clinical response to neoadjuvant chemotherapy (NACT) in breast cancer correlates with pathological response at surgery. A tailored approach using biomarkers to predict response to NACT has become a research priority. Predictors of response can be divided into pathological and radiological biomarkers. Advances in gene expression profiling and diffusion-weighted MRI techniques are used to predict tumour response, and combinations thereof are the future of predicting response to NACT in early-stage breast cancer.

METHODS

We searched Medline, CINAHL and Embase databases for studies on NACT. Key words used were NACT, breast cancer, pathological* complete response, primary chemotherapy, radiological*, predictor*, gene expression and biomarkers limited to the English language. Pathological markers such as tumour subtypes, topoisomerase IIα expression, Ki67, apoptosis-related markers and gene expression profiling were included.

RESULTS

From 119 articles, 42 studies were reviewed; the majority of studies identified used pathological clinical response as an end point to NACT, whilst others used complete clinical response. Despite extensive studies, results regarding long-term survival following NACT and potential predictors are inconclusive.

CONCLUSION

Future development of a predictive model combining key pathological and radiological biomarkers could provide personalised treatment regimens that improve pathological complete response rates and longer-term outcomes.

Practical issues concerning the implementation of Ki-67 proliferative index measurement in breast cancer reporting

Commercial molecular tests which rely heavily on proliferation markers to stratify breast cancer are in increasing demand, but are expensive and not widely available. There is heightened interest in the use of Ki-67 immunohistochemistry as a marker of proliferation. This study sought to examine practical issues in the incorporation of Ki-67 measurement into breast cancer reporting.We conducted a prospective study of Ki-67 proliferative activity in 85 breast carcinomas in 70 patients. We considered whether dual staining with cytokeratin and Ki-67 was necessary to exclude background cells in automated digital image analysis (DIA) and how well a semi-quantitative assessment (SQA) method of Ki-67 proliferation and formal manual counting by two pathologists correlated with DIA.Our study showed good correlation between single and dual stained specimens by DIA (Spearman correlation coefficient 0.8), with a kappa statistic of 0.51 (moderate agreement) but with significantly fewer positive cells identified in dual stained sections. There was fair correlation between SQA and DIA by two pathologists (Spearman correlation coefficient 0.7 and 0.7). Using a ≥10% cut-off to define cases with a 'low' and 'high' proliferative index gave a kappa statistic of 0.25 and 0.32 (fair agreement). There was fair correlation between formal manual counts between two pathologists (Spearman correlation coefficient 0.7; kappa 0.32). Repeat DIA on all cases showed excellent correlation (Spearman coefficient 0.98; kappa 1.0).Automated digital analysis of Ki-67 PI is likely to be more accurate and consistent than semi-quantitative assessment and more practicable than formal manual counting. There remain challenges in standardisation of technique within and across laboratories, interpretation of results and in evaluating clinical relevance.

Receptor status change from primary to residual breast cancer after neoadjuvant chemotherapy and analysis of survival outcomes

BACKGROUND

To evaluate the frequency of receptor change from pretreatment to residual breast cancer after NCT and their correlation with outcomes.

PATIENTS AND METHODS

Three hundred ninety-eight women were identified retrospectively. Estrogen receptor, progesterone receptor, and HER2 were reviewed. Patients were classified as not having receptor change versus any receptor change. Kaplan-Meier was used to estimate survival outcomes according to changes. Cox proportional hazards models were used to determine the association of receptor status changes with outcomes after adjustment for patient and tumor characteristics.

RESULTS

One hundred sixty-two (40.7%) patients had a change in at least 1 of the receptors from pretreatment to residual disease. Patients who had no change in receptor status had a significantly greater triple-negative breast cancer (TNBC) rate at baseline (P = .0001). Of the 193 hormone receptor (HR)-positive tumors, 9 (4.7%) and 29 (15.1%) became HER2-positive and TNBC, respectively. Of the 72 HER2-positive tumors, 20 (27.8%) and 9 (12.5%) became HR-positive and TNBC, respectively. Of the 128 TNBC tumors, only 2 (1.6%) and 33 (25.8%) became HER2-positive and HR-positive, respectively. At a median follow up of 40 months, 5-year overall survival (OS) was 73% and 63%; and 5-year relapse-free survival (RFS) was 63% and 48% for patients with or without any receptor change (P = .07 and P = .003), respectively. Any receptor change was associated with better RFS (hazard ratio, 0.63; 95% confidence interval [CI], 0.44-0.9) but not OS. (hazard ratio, 0.79; 95% CI, 0.53-1.18).

CONCLUSION

Changes in receptor status between the pretreatment and residual disease after NCT are frequent and appear to be associated with improved RFS because of the receptor stability of TNBC.

Evaluation of biomarker changes after administration of various neoadjuvant chemotherapies in breast cancer

To assess the changes in estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 expression in breast cancer patients after various neoadjuvant chemotherapies. Data from 138 locally advanced breast cancer patients with histological diagnoses were reviewed. Seventy patients (group 1) were given 4 cycles of 500 mg/m(2) cyclophosphamide and 50 mg/m(2) pirarubicin every 21 days. Sixty-eight patients (group 2) were given 4 cycles of 500 mg/m(2) cyclophosphamide and 75 mg/m(2) docetaxel every 21 days. The biomarker changes of the operated tumor tissues were compared with the initial core biopsies. ER, PR, HER2 and Ki-67 expression changed by 28.6%, 22.9%, 17.1% and 54.3%, respectively, after neoadjuvant chemotherapy in group 1 and 16.2%, 22.1%, 13.2% and 70.6%, respectively, after neoadjuvant chemotherapy in group 2. There were significant differences between the groups regarding ER and Ki-67 status changes, and these changes can be used to inform treatment strategies.

Evaluation and Validation of Neo-Adjuvant Response Index (NRI) and It's Correlation with Various Predictive Biomarkers and RECIST in Locally Advanced Breast Cancer

BACKGROUND

Response evaluation following neo-adjuvant chemotherapy in breast cancer is usually done without taking in to account the axillary response and the available tools like 'response evaluation criteria in solid tumors' (RECIST) have this limitation. These criteria rely solely on the response observed in the primary tumour. Neoadjuvant response index is one such attempt to have a comprehensive assessment of response both in the primary tumour and the axilla.

METHODS

30 cases of locally advanced breast cancer (LABC) were assessed for response using 'Neo-adjuvant Response Index'. The index always gives score between '0' (no response or progressive disease) and '1' (pathological complete response i.e. no invasive tumor in breast as well as axilla). This index includes axillary response as well and provides a spectrum of response rather than dividing patients into simply responders and non-responders .

RESULTS

Mean reading of index was found to be 0.2925 in this study. Three patients achieved an index of 1. This index correlates significantly with the existing scales for assessing response. Hormone negative tumors were found to be more chemo responsive with higher rates of pathological complete response (pCR) while ER/PR + Her2- tumors showed a very poor response to NACT.

CONCLUSIONS

Based on the observations of the present study it may be submitted that Neoadjuvant Response Index (NRI) is a reliable and simple tool that can serve as a comprehensive and accurate method of assessing response to neo-adjuvant chemotherapy as it takes in to consideration both the tumor and axillary response unlike the existing RECIST, binary system (responders are those with greater than 50 % reduction), RCB method and the available biomarkers. This study being first of it's kind in Indian population, in spite of it's limitations, could prove to be a launching ground for further reasearch and contribute substantially to the evidence base.

Different methods of pretreatment Ki-67 labeling index evaluation in core biopsies of breast cancer patients treated with neoadjuvant chemotherapy and their relation to response to therapy

Increased proliferation activity of breast cancer cells evaluated by Ki-67 immunohistochemistry, i.e. a high Ki-67 labeling index (Ki-67 LI), may predict better tumor regression in case of neoadjuvant chemotherapy. Despite recommendations for the evaluation of Ki-67 LI, there are variations in methodology. We assessed the effect of different evaluation methods on the Ki-67 LI in patients with different response to neoadjuvant chemotherapy. Thirty pretreatment core-biopsy samples of patients receiving neoadjuvant docetaxel-epirubicin chemotherapy with or without capecitabine were evaluated for their Ki-67 LI. Pathologic regression was categorized as no regression, partial regression and complete regression, with 10 cases in each category. Three antibodies (MIB1, B56, SP6), 4 observers and 4 methods (counting or estimating on glass slides and counting or estimating on representative digital images) were compared. The Kruskal-Wallis test and analyses of variance were performed to investigate the differences in Ki-67 LIs between different clinical outcomes (tumor regression categories). Breast carcinomas with pathological complete regression had a higher mean Ki-67 LI than tumors not achieving complete regression with any methods, observers and antibodies investigated, although there was a variation between different evaluations in what may represent high proliferation. Estimating the Ki-67 LI on digital images representing the highest proliferation in the core biopsy seemed the best in separating complete responders from non-responders. High Ki-67 LI values were more likely associated with pathological complete regression independently of the method of evaluation used, although the definition of high proliferation is problematic. Estimating the Ki-67 LI may be an adequate method of evaluation.

Can ki-67 play a role in prediction of breast cancer patients' response to neoadjuvant chemotherapy?

Background. Currently the choice of breast cancer therapy is based on prognostic factors. The proliferation marker Ki-67 is used increasingly to determine the method of therapy. The current study analyses the predictive value of Ki-67 in foreseeing breast cancer patients' responses to neoadjuvant chemotherapy. Methods. This study includes patients with invasive breast cancer treated between 2008 and 2013. The clinical response was assessed by correlating Ki-67 to histological examination, mammography, and ultrasonography findings. Results. The average Ki-67 value in our patients collectively (n = 77) is 34.9 ± 24.6%. The average Ki-67 value is the highest with 37.4 ± 24.0% in patients with a pCR. The Ki-67 values do not differ significantly among the 3 groups: pCR versus partial pathological response versus stable disease/progress (P = 0.896). However, Ki-67 values of patients with luminal, Her2 enriched, and basal-like cancers differed significantly from each other. Furthermore, within the group of luminal tumors Ki-67 values of patients with versus without pCR also differed significantly. Conclusion. Our data shows that the Ki-67 value predicts the response to neoadjuvant chemotherapy as a function of the molecular subtype, reflecting the daily routine concerning Ki-67 and its impressing potential and limitation as a predictive marker for neoadjuvant chemotherapy response.

USP-11 as a predictive and prognostic factor following neoadjuvant therapy in women with breast cancer

PURPOSE

USP-11, a member of the ubiquitin-specific protease family, has emerged as an essential regulator of double-strand break repair. Few studies have shown that silencing USP-11 led to hypersensitivity to poly(ADP-ribose) polymerase inhibition, ionizing radiation, and DNA-damaging agents. We sought to examine the predictive and prognostic relevance of USP-11 in patients treated with neoadjuvant systemic therapy (NST) for breast cancer.

METHODS

Fifty-six women who were treated with NST for breast cancer between 1999 and 2004 were included in the study. The Kaplan-Meier product-limit method was used to estimate disease-free survival and overall survival rates. Logistic regression models were fit to determine the associations between USP-11 status, pathological complete response (pCR), and survival.

RESULTS

Sixteen patients (29%) had high-USP-11-expressing tumors, and 40 (71%) patients had low-USP-11-expressing tumors. No significant differences were observed in pCR rates with respect to USP-11 status. At a median follow-up of 7.4 years, 33 patients (59%) experienced a disease recurrence or death. Patients with high-USP-11-expressing tumors had a higher risk of recurrence (odds ratio [OR], 3.87; 95% confidence interval [CI], 1.51-9.93; P = 0.005) and death (OR, 6.03; 95% CI, 2.00-18.17; P = 0.001) than those with low-USP-11-expressing tumors. Patients who did not achieve a pCR had an increased risk of recurrence (OR, 5.16; 95% CI, 1.16-23.07; P = 0.03).

CONCLUSIONS

Our data indicate that USP-11 is not a predictor of a pCR after anthracycline-taxane-containing NST for breast cancer. Low USP-11 expression was independently correlated with better survival outcomes.

Prognostic value of proliferation markers expression in breast cancer

In this study, immunohistochemical expression of five proliferation markers: Ki-67, aurora-A kinase, survivin, B-Myb and cyclin B1, was analyzed. Consecutive 215 tumor samples from breast cancer patients operated from 2002 to 2003 were analyzed using the TMA ("tissue microarray") method. The median follow-up was 95 months (from 7.8 to 107 months). Statistically significant correlations between expression levels in five proliferation markers, and correlations between some of the proliferation markers and traditional prognostic factors were found. Statistically significant prognostic influence of aurora-A kinase, survivin and B-Myb expression levels on overall and disease-free survival was found, and cyclin B1 expression level on disease-free survival. A multivariate analysis confirmed survivin and B-Myb expression as independent prognostic factors of overall (p = 0.0195; p = 0.0004) and disease-free survival (p = 0.0107 and p = 0.0205) in breast cancer patients.

The mitochondrial transport protein SLC25A43 affects drug efficacy and drug-induced cell cycle arrest in breast cancer cell lines

The mitochondria have been identified as key players of apoptosis, cell proliferation and cell cycle regulation. However, the role of mitochondria in breast cancer and treatment failure remains unclear. We have previously shown a common deletion of the gene SLC25A43 in human epidermal growth factor receptor 2 (HER2)-positive breast cancer. This gene is coding for a mitochondrial inner membrane transporter and, to date, little is known about the function of this protein. We have also found that low protein expression of SLC25A43 significantly correlates with a lower S phase fraction in HER2-positive breast cancer. The aim of this study was to investigate whether knockdown (KD) of SLC25A43 could have an effect on the cytotoxicity of different cytostatic drugs using MCF10A, MCF7 and BT-474 cells. Following siRNA-mediated KD of SLC25A43, one non-malignant and two breast cancer cell lines were exposed to the anthracycline epirubicin or the taxane paclitaxel. The HER2-positive breast cancer cells were also exposed to the targeted therapy trastuzumab and dual exposure to trastuzumab and paclitaxel. We found that KD of SLC25A43 resulted in a decreased cytotoxic effect of paclitaxel in the two cancer cell lines (P<0.05). Further analysis of cell cycle phase distribution showed that KD increased the paclitaxel-induced G2/M block in these two cell lines (P<0.05). KD of SLC25A43 also reduced the inhibitory effect of trastuzumab on cell proliferation in the HER2-positive cancer cell line BT-474 (P<0.05), and the drug-induced G0/G1 block (P<0.05). Moreover, SLC25A43 influenced the percentage of Ki-67-positive cells. Our findings demonstrate that the mitochondrial protein SLC25A43 affects drug efficacy and cell cycle regulation following drug exposure in breast cancer cell lines.

Ki-67 biomarker in breast cancer of Indian women

Background:

Biological markers that reliably predict clinical or pathological response to primary systemic therapy early during a course of chemotherapy may have considerable clinical potential.

Aims:

Aims of study to evaluated changes in Ki-67 (MIB-1) labeling index and apoptotic index (AI) before, during, and after neoadjuvant anthracycline chemotherapy in breast cancer in Indian women.

Materials and Methods:

Breast cancer tissues were collected from Grant Medical College and Sir J.J. Group of Hospitals, Mumbai, India. Twenty-seven patients receiving neoadjuvant FEC (5-fluorouracil, epirubicin, and cyclophosphamide) chemotherapy for operable breast cancer underwent repeat core biopsy after 21 days of treatment.

Results:

The objective clinical response rate was 56%. Eight patients (31%) achieved a pathological response by histopathological criteria; two patients had a near-complete pathological response. Increased day-21 AI was a statistically significant predictor of pathological response (p = 0.049). A strong trend for predicting pathological response was seen with higher Ki-67 indices at day 21 and AI at surgery (p = 0.06 and 0.06, respectively).

Conclusion:

The clinical utility of early changes in biological marker expression during chemotherapy remains unclear. Until further prospectively validated evidence confirming the reliability of predictive biomarkers is available, clinical decision-making should not be based upon individual biological tumor biomarker profiles.

The progression potential of peritoneal dissemination nodules from gastrointestinal tumors

It is necessary to examine the characteristics of the dissemination nodules to establish a therapeutic strategy for peritoneal dissemination from digestive malignancy. Ki-67 expression as a proliferation marker in peritoneal dissemination nodules was investigated. The subjects were 15 patients with gastrointestinal cancers who underwent resection of the primary tumor and disseminated nodules. The expression of Ki-67 in both primary tumor and peritoneal dissemination nodule from each patient was evaluated by immunohistochemistry. Ki-67 labeling index in the original tumor was higher than that in the disseminated nodule in 13 of 15 patients (P < 0.0001). The mean value of Ki-67 labeling index was 42.2% in the 15 original tumors and 18.7% in the 15 disseminated nodules. Proliferative activity in the disseminated nodules was lower than that in the primary tumors. Further examination about characteristics of cancer dissemination is needed to treat patients with peritoneal metastasis.

[Neoadjuvant treatment of breast cancer: implications for the pathologist]

These past few years, neoadjuvant strategy has taken an increasing place in the management of breast cancer patients. This strategy is mainly indicated to obtain a tumour bulk regression allowing a breast conserving surgery in patients that otherwise would have undergone mastectomy. Of note, development of new chemotherapy agents and targeted therapies has critically helped in the progress of neoadjuvant strategy as it is currently associated with better pathological response rates. In this context, the pathologist is at the crossroad of this multidisciplinary process. First, he provides on the initial core needle biopsy the tumour pathological characteristics that are critical for the choice of treatment strategy, i.e. histological type, histological grade, proliferative activity (mitotic count and Ki67/MIB1 index labeling), hormone receptor status (oestrogen receptor and progesterone receptor) and HER2 status. Secondly, the pathologist evaluates the pathological response and the status of surgical margins with regards to the residual tumour on the surgical specimen after neoadjuvant treatment. These parameters are important for the management of the patient, since it has been shown that complete pathological response is associated with improved disease free survival. Several grading systems are used to assess the pathological response in breast and axillary lymph nodes. The most frequently used in France are currently the systems described by Sataloff et al. and Chevallier et al. In this review, we detail the different steps involving the pathologist in neoadjuvant setting, with special regards to the quality process and future perspectives such as emerging predictive biomarkers.

Ki-67: level of evidence and methodological considerations for its role in the clinical management of breast cancer: analytical and critical review

Clinicians can use biomarkers to guide therapeutic decisions in estrogen receptor positive (ER+) breast cancer. One such biomarker is cellular proliferation as evaluated by Ki-67. This biomarker has been extensively studied and is easily assayed by histopathologists but it is not currently accepted as a standard. This review focuses on its prognostic and predictive value, and on methodological considerations for its measurement and the cut-points used for treatment decision. Data describing study design, patients’ characteristics, methods used and results were extracted from papers published between January 1990 and July 2010. In addition, the studies were assessed using the REMARK tool. Ki-67 is an independent prognostic factor for disease-free survival (HR 1.05–1.72) in multivariate analyses studies using samples from randomized clinical trials with secondary central analysis of the biomarker. The level of evidence (LOE) was judged to be I-B with the recently revised definition of Simon. However, standardization of the techniques and scoring methods are needed for the integration of this biomarker in everyday practice. Ki-67 was not found to be predictive for long-term follow-up after chemotherapy. Nevertheless, high KI-67 was found to be associated with immediate pathological complete response in the neoadjuvant setting, with an LOE of II-B. The REMARK score improved over time (with a range of 6–13/20 vs. 10–18/20, before and after 2005, respectively). KI-67 could be considered as a prognostic biomarker for therapeutic decision. It is assessed with a simple assay that could be standardized. However, international guidelines are needed for routine clinical use.

Assessment of predictive markers of response to neoadjuvant chemotherapy in breast cancer

OBJECTIVE

To identify the predictive markers associated with chemotherapy sensitivity, especially those producing pathological complete response (pCR) following neoadjuvant chemotherapy (NACT) in patients with locally advanced breast cancer.

METHODS

Core needle biopsy of 50 locally advanced breast cancer patients was analysed for histopathology, grade, oestrogen receptor, progesterone receptor, HER2, Ki-67, p53, Bcl-2, and BAX before starting NACT. This was correlated with response to NACT using Response Evaluation Criteria in Solid Tumours criteria.

RESULTS

The mean tumour reduction rate per chemotherapy cycle was significantly higher in BAX-positive (p = 0.01) and Bcl-2-negative (p = 0.04) tumours. BAX expression significantly (p = 0.043) correlated with a response of an at least 30% reduction in tumour size post-NACT on multivariate analysis. A significant relationship was seen between loss of Bcl-2 expression and pCR on univariate (p = 0.048) analysis. Overall, all of the above 12 parameters had 30.4% and 28.5% success in predicting clinical complete response and pCR, respectively, by the Cox and Snell formula.

CONCLUSION

Of all parameters examined, only the apoptosis-related genes (Bcl-2 and BAX) seemed to exert some influence on the response to NACT, and neither by itself was sufficient to predict pCR; however, 50 patients is not sufficient to simultaneously analyse several predictive markers.

Monitoring of neoadjuvant chemotherapy using multiparametric, ²³Na sodium MR, and multimodality (PET/CT/MRI) imaging in locally advanced breast cancer

We prospectively investigated using advanced magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) to identify radiological biomarkers for treatment response in patients receiving preoperative systemic therapy (PST) for locally advanced breast cancer. Patients with a stage II or III breast cancer receiving PST were selected and underwent positron emission tomography (PET), magnetic resonance imaging (MRI), and breast biopsies at baseline and after the first cycle of PST (days 7-8) during the full course of treatment. PET/CT was acquired after injection of 2-deoxy-2-[18F]-fluoro-D-glucose (¹⁸FDG, 0.22 mCi/kg) and quantified with standardized uptake value assessment (SUV). Diagnostic breast MRI and sodium (²³Na) was acquired at 1.5 T. Total tissue sodium concentration (TSC), response criteria in solid tumors (RECIST), and volumes were quantified. Treatment response was determined by pathological assessment at surgery. Immunohistochemistry values of the proliferative index (Ki-67) were performed on biopsy specimens. Six of nineteen eligible women (43 ± 11 years) who received PST underwent radiological imaging of ¹⁸FDG-PET/CT and MRI for at least two cycles of treatment. Five patients had a pathological partial response (pPR) and one had pathological non-response (pNR). TSC decreased 21% in responders with increases in the non-responder (P = 0.03). Greater reduction in SUV was observed in responders (38%) compared to the non-responder (22%; P = 0.03). MRI volumes decreased after cycle 1 by 42% (responders) and 35% (non-responder; P = 0.11). Proliferation index Ki-67 declined in responders in the first cycle (median = 47%, range = 29-20%), but increased (4%) in the non-responder. Significant decreases in TSC, SUV, and Ki-67 were observed in responders with increases in TSC and Ki-67 in non-responders. Our results demonstrate the feasibility of using multi-modality proton, ²³Na MRI, and PET/CT metrics as radiological biomarkers for monitoring response to PST in patients with operable breast cancer.

[Predictive factors of response to anthracyclines neoadjuvant chemotherapy in breast cancer]

OBJECTIVES

Anthracyclines chemotherapy remains primordial and impossible to circumvent in the treatment of breast cancer, in the adjuvant, metastatic and neoadjuvant setting. But some breast invasive tumors are resistant to anthracyclines. The neoadjuvant model is ideal to test the chemosensibility by selecting the well-responder patients and identifying the predictive factors of this response.

PATIENTS AND METHODS

We report a retrospective study of 126 patients treated at our institute during 2 years (January 2003-December 2004) for a breast cancer with primary chemotherapy. All the patients received anthracyclines according to protocol AC60 (doxorubicine plus cyclophosphamide).

RESULTS

The clinical objective response rate (RO) was 67 % with a complete clinical response (RC) of 11 %. We found a pathological complete response (pCR) in seven patients (5,6 %) of the 126 cases. The statistical study identifies only two clinical factors as predictive of RC and pCR: tumoral size T2-T3 and clinical nodal status N0-N1, while the SBR grading and the hormonal receptors were not correlated.

DISCUSSION AND CONCLUSION

Some clinical and histological factors are recognized as predictive for the benefit of anthracyclines neoadjuvant chemotherapy, and correlated to the pCR; we discuss our results through those of the literature, by exposing the current data.

Immunomarker studies of fine-needle cytopuncture cell blocks for tumor response prediction after preoperative chemotherapy and prognosis in operable nonmetastatic primary breast carcinoma

Neo-adjuvant chemotherapy of breast cancer provides an opportunity to evaluate predictive factors at initial tumor biopsy. We evaluated these factors on cell blocks obtained by diagnostic fine-needle cytopuncture (FNC), with respect to tumor regression and outcome. A prospective study (1996-2003, median follow-up 82 months) involved 163 patients with breast carcinoma (T2 ≥ 3 cm, T3, T4 noninflammatory) diagnosed by means of FNC. Malignancy, cytologic grade, and the presence of lymphocytes were determined on cytologic smears. Ki67, estrogen receptor (ER), progesterone receptor (PgR), HER2, and p53 expression was assessed on cell blocks by means of immunohistochemistry. All the patients received anthracycline-based chemotherapy. A combined clinical and pathologic tumor regression score was calculated. Twelve cases (7.5%) showed a complete regression, 72 cases (44%) a partial regression and 79 cases (48.5%) no regression. Factors predictive of regression were high grade, presence of lymphocytes, pN0, high Ki67 expression, hormone receptor negativity, and the "triple negative" phenotype. In univariate analysis 5-year metastasis-free survival rate (MFS) correlated with cytologic grade, pN, ER, and p53 status, while overall survival (OS) correlated with cytologic grade, type of surgery, pN, and ER status. In multivariate analysis, MFS was significantly influenced by the regression score, Ki67, age, ER status, pN, HER2, and initial tumor size. Except for age, the same parameters correlated with OS. FNC with the cell block technique is a rapid, minimally invasive, reliable, and inexpensive method for analyzing predictive biomarkers, and may thus be useful in the management of breast cancer patients requiring neo-adjuvant chemotherapy.

DNA repair and personalized breast cancer therapy

Personalized cancer therapy is likely to be one of the next big advances in our search for a cure for cancer. To be able to treat people in an individualized manner, researchers need to know a great deal about their genetic constitution and the DNA repair status of their tumors. Specific knowledge is required regarding the polymorphisms individuals carry and how these polymorphisms influence responses to therapy. Researchers are actively engaged in biomarker discovery and validation for this purpose. In addition, the design of clinical trials must be reassessed to include new information on biomarkers and drug responses. In this review, we focus on personalized breast cancer therapy. The hypothesis we focus upon in this review is that there is connection between the DNA repair profile of individuals, their breast tumor subtypes, and their responses to cancer therapy. We first briefly review cellular DNA repair pathways that are likely to be impacted by breast cancer therapies. Next, we review the phenotypes of breast tumor subtypes with an emphasis on how a DNA repair deficiency might result in tumorigenesis itself and lead to the chemotherapeutic responses that are observed. Specific examples of breast tumor subtypes and their responses to cancer therapy are given, and we discuss possible DNA repair mechanisms that underlie the responses of tumors to various chemotherapeutic agents. Much is known about breast cancer subtypes and the way each of these subtypes responds to chemotherapy. In addition, we discuss novel design of clinical trials that incorporates rapidly emerging information on biomarkers.

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

In this study, we conducted an immunohistochemical analysis of primary breast tumors and metachronous brain metastases to compare the differences in the expression of biological markers between the two. Carcinoma tissues from primary breast tumors and metachronous brain metastases collected from 21 patients were examined immunohistochemically for the expression status of the estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor (HER)-2, Ki-67, bcl-2 and p53, and the results were compared. In addition, the relationships between the expression of these factors and prognosis were evaluated. There were no significant differences in the frequencies of ER-, PgR-, HER-2-, bcl-2- or p53-positivity between the primary breast tumors and metachronous brain metastases. While the Ki-67 labeling index (LI) was high in both the primary breast tumors and brain metastases, it was significantly higher in the brain metastases than in the corresponding primary breast tumors (P=0.003). With regard to the prognosis, breast cancer patients who showed ER-positivity in the primary tumors showed significantly longer survival after primary diagnosis (P=0.0076). Furthermore, breast cancer patients who exhibited ER-positivity, bcl-2-positivity or p53-negativity in the primary tumors showed significantly longer intervals from primary diagnosis to the detection of the brain metastases. Of all the markers, only the Ki-67 LI was significantly higher in the brain metastases than in the primary breast tumors. We confirmed that the tumor characteristics were worse in the metachronous brain metastases.

Glutathione-s-transferase-pi expression in early breast cancer: association with outcome and response to chemotherapy

Glutathione-S-transferase-pi (GST-pi) is a detoxification enzyme expressed in breast cancer; however its involvement in chemotherapy sensitivity and prognosis is not well understood. We evaluated the expression of GSTpi and its predictive role of chemotherapy response. Breast tumor samples from 166 patients at stage I/II of the disease were immunostained for GST-pi, and the expression was 96 %. There was a trend toward improved disease-free survival with high GST-pi expression (p =.09). There was a statistically non-significant association between high GST-pi expression and improved outcome with adjuvant chemotherapy (p =.055). Further studies should evaluate the role of GST-pi expression in relation to response to different chemotherapies.

Ki67 in breast cancer: prognostic and predictive potential

The leading parameters that define treatment recommendations in early breast cancer are oestrogen-receptor, progesterone-receptor, and human epidermal growth-factor status. Although some pathologists report Ki67 in addition to other biological markers, the existing guidelines of the American Society of Clinical Oncology do not include Ki67 in the list of required routine biological markers. The advent of new genetic tests has emphasised the role of proliferative genes, including Ki67, as prognostic and predictive markers. Additionally, randomised studies have retrospectively reviewed data and reported on the role of Ki67 in breast cancer. In light of new data, we have re-assessed evidence that could change guidelines to include Ki67 in the standard pathological assessment of early breast cancers. This review provides an update on the current knowledge on Ki67 and of the evidence in the published work about the prognostic and predictive role of this marker, and provides information on the laboratory techniques used to determine Ki67.

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.

The effects of adding zoledronic acid to neoadjuvant chemotherapy on tumour response: exploratory evidence for direct anti-tumour activity in breast cancer

Background:

Pre-clinical studies have demonstrated synergistic anti-tumour effects of chemotherapy (CT) and zoledronic acid (ZOL). Within the AZURE trial, designed to determine whether the addition of ZOL to neoadjuvant therapy improves disease outcomes, a subgroup received neoadjuvant CT. We report a retrospective evaluation comparing pathological response in the primary tumour between treatment groups.

Methods:

In total, 205 patients received neoadjuvant CT±ZOL (CT+ZOL, n=102; CT, n=103). The primary end point was pathologically assessed residual invasive tumour size (RITS) at surgery. Secondary end points were pathological complete response (pCR) rate and axillary nodal involvement. Following review of surgical pathology reports (n=195), outcome differences between groups were assessed adjusting for potential response modifiers.

Results:

Baseline characteristics and CT treatments were similar. In multivariate analysis, allowing for biological and clinical factors known to influence tumour response, the adjusted mean RITS in CT and CT+ZOL groups were 27.4 and 15.5 mm, respectively, giving a difference in means of 12 mm (95% confidence interval: 3.5–20.4 mm; P=0.006). The pCR rate was 6.9% in the CT group and 11.7% in the CT+ZOL group (P=0.146). There was no difference in axillary nodal involvement (P=0.6315).

Conclusion:

These data suggest a possible direct anti-tumour effect of ZOL in combination with CT, warranting formal evaluation in prospective studies.

Clinicopathologic factors associated with involved margins after breast-conserving surgery for invasive lobular carcinoma

INTRODUCTION

Obtaining negative margins for patients undergoing breast-conserving surgery (BCS) for invasive lobular carcinoma (ILC) can be difficult because of the unique histologic pattern of ILC. Our goal was to determine whether any specific patient- or disease-related factors influenced margin status.

PATIENTS AND METHODS

We retrospectively reviewed 211 patients with ILC treated from 1994 through 2004 to determine if specific clinical and pathologic factors influenced the ability to obtain negative margins.

RESULTS

We identified 110 patients (52%) who underwent total mastectomy and 101 (48%) who underwent BCS. Among patients who underwent BCS, 50 (50%) had close or positive margins. Patients with close or positive margins were more likely to have architectural distortion on ultrasonography (vs. mass or calcifications; P = .049), to have undergone excisional biopsy (vs. core or fine-needle aspiration; P = .008), and to have associated ductal carcinoma in situ (P = .021). On multivariate analysis, only biopsy method retained significance (P = .006).

CONCLUSION

Core needle biopsy is the preferred method of diagnostic biopsy before surgical intervention. With appropriate patient selection, most patients with early-stage ILC can undergo successful BCS.

Stromal matrix protein expression following preoperative systemic therapy in breast cancer

PURPOSE

Stromal alterations are observed following preoperative systemic therapy in breast cancer. The aim of the present study was to analyze the qualitative and quantitative changes of representative tumor stroma proteins in the context of neoadjuvant therapy and the response of patients undergoing preoperative systemic therapy.

EXPERIMENTAL DESIGN

Fifty women receiving preoperative systemic therapy were evaluated for clinical and pathologic parameters. Clinical response was defined according to International Union against Cancer (UICC) criteria, whereas pathologic responses to preoperative systemic therapy were defined according to the Chevallier and Sataloff classifications. The expression of tenascin-C, syndecan-1, collagen IV, and smooth muscle actin proteins was investigated using morphometric analysis of immunohistochemical reactions. Quantitative reverse transcription-PCR was done to evaluate the mRNA expression level of syndecan-1 and tenascin-C. The data were compared with 20 breast cancer samples of patients not treated with preoperative systemic therapy.

RESULTS

According to UICC criteria, the expression levels of collagen IV were up-regulated in all preoperative systemic therapy-treated patients (P = 0.002). Collagen IV was up-regulated in the preoperative systemic therapy group in both Chevallier and Sataloff classifications compared with the control cases (P = 0.025 and P = 001, respectively). There were no significant differences in the expression of smooth muscle actin between the treated and nontreated groups. The syndecan-1 proteoglycan level was significantly down-regulated in the preoperative systemic therapy group (Chevallier classes P = 0.015, Sataloff classes P = 0.015). Tenascin-C was up-regulated in women with progressive disease (P = 0.005).

CONCLUSION

We have observed that the stromal component of breast carcinomas following preoperative systemic therapy differs from the nontreated tumors, which can be evaluated with the analysis of the above mentioned proteins.

The potential biomarkers in predicting pathologic response of breast cancer to three different chemotherapy regimens: a case control study

Background

Preoperative chemotherapy (PCT) has become the standard of care in locally advanced breast cancer. The identification of patient-specific tumor characteristics that can improve the ability to predict response to therapy would help optimize treatment, improve treatment outcomes, and avoid unnecessary exposure to potential toxicities. This study is to determine whether selected biomarkers could predict pathologic response (PR) of breast tumors to three different PCT regimens, and to identify a subset of patients who would benefit from a given type of treatment.

Methods

118 patients with primary breast tumor were identified and three PCT regimens including DEC (docetaxel+epirubicin+cyclophosphamide), VFC (vinorelbine/vincristine+5-fluorouracil+cyclophosphamide) and EFC (epirubicin+5-fluorouracil+cyclophosphamide) were investigated. Expression of steroid receptors, HER2, P-gp, MRP, GST-pi and Topo-II was evaluated by immunohistochemical scoring on tumor tissues obtained before and after PCT. The PR of breast carcinoma was graded according to Sataloff's classification. Chi square test, logistic regression and Cochran-Mantel-Haenszel assay were performed to determine the association between biomarkers and PR, as well as the effectiveness of each regimen on induction of PR.

Results

There was a clear-cut correlation between the expression of ER and decreased PR to PCT in all three different regimens (p < 0.05). HER2 expression is significantly associated with increased PR in DEC regimen (p < 0.05), but not predictive for PR in EFC and VFC groups. No significant correlation was found between biomarkers PgR, Topo-II, P-gp, MRP or GST-pi and PR to any tested PCT regimen. After adjusted by a stratification variable of ER or HER2, DEC regimen was more effective in inducing PR in comparison with VFC and EFC regimens.

Conclusion

ER is an independent predictive factor for PR to PCT regimens including DEC, VFC and EFC in primary breast tumors, while HER2 is only predictive for DEC regimen. Expression of PgR, Topo-II, P-gp, MRP and GST-pi are not predictive for PR to any PCT regimens investigated. Results obtained in this clinical study may be helpful for the selection of appropriate treatments for breast cancer patients.

p53 as a specific prognostic factor in triple-negative breast cancer

OBJECTIVE

A recent suggestion is that the predictive value of a single biomarker may rely on the genetic background on the tumor and that different breast cancer subgroups may have different predictive markers of response to chemotherapy. The prognostic value of p53 in the outcome of adjuvant anthracycline-containing chemotherapy was evaluated according to molecular subclasses defined using the expression of estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2.

METHODS

Subjects were patients (n = 135) with invasive ductal carcinoma treated with adjuvant anthracycline-based chemotherapy between 1994 and 2000 in our hospital. Clinico-pathological features were reviewed by retrospective examination of medical records.

RESULTS

Overall survival rate was not independently predictive by p53 status (P = 0.182). However, in triple-negative cases, there was statistically significant survival difference (P = 0.034) and no statistically significant difference (P = 0.783) in non-triple-negative cases by p53 status. In the Cox proportional hazard analysis, p53 was also strongly predictive for relapse-free survival (P = 0.013) and overall survival (P = 0.049) in triple-negative patients.

CONCLUSIONS

p53 status could be a specific prognostic factor in triple-negative breast cancer patients treated by adjuvant anthracycline-based regimen. When p53 is positive in triple-negative breast cancer, we could expect poor survival, prompting aggressive or alternative treatment.

A risk score to predict disease-free survival in patients not achieving a pathological complete remission after preoperative chemotherapy for breast cancer

BACKGROUND

We aimed to predict disease-free survival (DFS) in patients who failed to achieve a pathologic complete remission (pCR) after preoperative chemotherapy (PC).

PATIENTS AND METHODS

Data from 577 patients treated with PC and operated at the European Institute of Oncology (EIO) were used to develop a nomogram using Cox proportional hazards regression model based on both categorical (pT, positive nodes, human epidermal growth factor receptor 2 (HER2) status, vascular invasion) and continuous histological variables (estrogen receptors and Ki-67 expression) at surgery. The nomogram was tested on a second patient cohort (343 patients) treated in other institutions and subsequently operated at the EIO.

RESULTS

The nomogram for DFS based on both categorical and continuous variables had good discrimination in the training and the validation sets (concordance indices 0.73, 0.67).

CONCLUSION

The use of a nomogram based on the degree of selected histopathological variables can predict DFS and might help in the adjuvant therapeutic algorithm design.