Atsushi Shimomura

GSTP1 expression predicts poor pathological complete response to neoadjuvant chemotherapy in ER-negative breast cancer

The purpose of the present study was to investigate the association of glutathione S‐transferase P1 (GSTP1) expression with resistance to neoadjuvant paclitaxel followed by 5‐fluorouracil/epirubicin/cyclophosphamide (P‐FEC) in human breast cancers. The relationship of GSTP1 expression and GSTP1 promoter hypermethylation with intrinsic subtypes was also investigated. In this study, primary breast cancer patients (n = 123, stage II–III) treated with neoadjuvant P‐FEC were analyzed. Tumor samples were obtained by vacuum‐assisted core biopsy before P‐FEC. GSTP1 expression was determined using immunohistochemistry, GSTP1 promoter methylation index (MI) using bisulfite methylation assay and intrinsic subtypes using DNA microarray. The pathological complete response (pCR) rate was significantly higher in GSTP1‐negative tumors (80.0%) than GSTP1‐positive tumors (30.6%) (P = 0.009) among estrogen receptor (ER)‐negative tumors but not among ER‐positive tumors (P = 0.267). Multivariate analysis showed that GSTP1 was the only predictive factor for pCR (P = 0.013) among ER‐negative tumors. Luminal A, luminal B and HER2‐enriched tumors showed a significantly lower GSTP1 positivity than basal‐like tumors (P = 0.002, P < 0.001 and P = 0.009, respectively), while luminal A, luminal B and HER2‐enriched tumors showed a higher GSTP1 MI than basal‐like tumors (P = 0.076, P < 0.001 and P < 0.001, respectively). In conclusion, these results suggest the possibility that GSTP1 expression can predict pathological response to P‐FEC in ER‐negative tumors but not in ER‐positive tumors. Additionally, GSTP1 promoter hypermethylation might be implicated more importantly in the pathogenesis of luminal A, luminal B and HER2‐enriched tumors than basal‐like tumors. (Cancer Sci 2012; 103: 913–920)

Prognostic significance of Ki67 index after neoadjuvant chemotherapy in breast cancer

PURPOSE Recently, Ki67 index (cell proliferation marker) has been attracting a considerable attention as a prognostic factor in breast cancer but the prognostic significance of Ki67 after neoadjuvant chemotherapy (NAC) has rarely been examined. EXPERIMENTAL DESIGN Primary breast cancer patients (n = 102) treated with NAC (sequential paclitaxel 12 cycles (q1w) and 5-FU/epirubicin/cyclophosphamide 4 cycles (q3w)) were recruited in the study. Ki67, estrogen receptor (ER) and progesterone receptor (PR) and breast cancer resistant protein (BCRP) and P-glycoprotein were determined by immunohistochemistry and HER2 was determined by FISH in tumor tissues obtained before and after NAC, and their association with patient prognosis (relapse-free survival) was examined. RESULTS Of the 102 patients, pCR was achieved in 30 (29.4%). In the 72 non-pCR patients, Ki67 index significantly (P < 0.001) decreased after NAC. Ki67 index after NAC, but not Ki67 index before NAC, was significantly associated with a patient prognosis (P = 0.022). Multivariate analysis has shown that Ki67 index after NAC is a marginally significant (P = 0.05) prognostic factor and that other biomarkers including ER, PR, BCRP, and P-glycoprotein before and after NAC are not significant. CONCLUSIONS Ki67 after NAC, but not before NAC, is prognostic in breast cancer patients, and might be clinically useful in the prognosis prediction of patients who do not achieve pCR after NAC. On the other hand, BCRP and P-glycoprotein before and after NAC are unlikely to be useful as prognostic factors in these patients.

Clinicopathological analysis of GATA3-positive breast cancers with special reference to response to neoadjuvant chemotherapy

BACKGROUND The aim of this study was to investigate the clinicopathological characteristics of GATA binding protein 3 (GATA3)-positive breast cancers as well as the association of GATA3 expression with response to chemotherapy. PATIENTS AND METHODS Tumor specimens obtained before neoadjuvant chemotherapy [paclitaxel followed by 5-fluorouracil/epirubicin/cyclophosphamide)] from breast cancer patients (n = 130) were subjected to immunohistochemical and mutational analysis of GATA3 and DNA microarray gene expression analysis for intrinsic subtyping. RESULTS Seventy-four tumors (57%) were immunohistochemically positive for GATA3. GATA3-positive tumors were significantly more likely to be lobular cancer, estrogen receptor (ER)-positive, progesterone receptor (PgR)-positive, Ki67-negative, and luminal A tumors. Somatic mutations were found in only three tumors. Pathological complete response (pCR) was observed in 8 (11%) GATA3-positive tumors and in 22 (39%) GATA3-negative tumors. multivariate analysis showed that tumor size, human epidermal growth factor receptor 2 (her2), and gata3 were independent predictors of pcr. CONCLUSIONS GATA3-positive breast cancers showed luminal differentiation characterized by high ER expression and were mostly classified as luminal-type tumors following intrinsic subtyping. Interestingly, GATA3 was an independent predictor of response to chemotherapy, suggesting that GATA3 might be clinically useful as a predictor of a poor response to chemotherapy.

Methylated DNA and Total DNA in Serum Detected by One-Step Methylation-Specific PCR Is Predictive of Poor Prognosis for Breast Cancer Patients

Purpose: We recently developed the one-step methylation-specific PCR (OS-MSP) assay which can detect methylated DNA (met-DNA) in serum with high sensitivity. To examine its prognostic value, we applied this new assay to the detection of met-DNA in serum of breast cancer patients. Methods: Serum samples taken before surgery from 336 primary invasive breast cancer patients were subjected to the OS-MSP assay for the promoter regions of GSTP1, RASSF1A, and RARβ2. The assay outcome was considered positive when methylation was detected in at least one of these three genes. Total DNA content in serum was also determined. Results: Of the 336 stage I/II patients, 33 (10%) were positive for met-DNA in serum and showed a significantly worse overall survival (OS) rate at 100 months (78 vs. 95%; p = 0.002) than those with negative findings (n = 303). Patients with high total DNA in serum (n = 112) also showed a significantly worse OS rate at 100 months (86 vs. 97%; p = 0.001) than those with low total DNA in serum (n = 224). Moreover, patients both positive for met-DNA and with high total DNA in serum (n = 18) showed a much worse OS rate at 100 months (65 vs. 94%; p < 0.001) than the others (n = 318). Conclusions: Met-DNA in serum detected with the OS-MSP assay constitutes a significant and independent prognostic factor, and its combination with total DNA in serum seems to be even more effective for prediction of prognosis for breast cancer patients.

Mutational analysis of MED12 in fibroadenomas and phyllodes tumors of the breast by means of targeted next-generation sequencing

We aimed to analyze MED12 mutation in fibroadenomas (FAs) and phyllodes tumors (PTs) of the breast, which are closely related and consist of epithelial and stromal components. Targeted deep-sequencing using next-generation sequencing was performed in FAs (n = 58) and PTs (n = 27). The frequency of MED12 mutant tumors was significantly higher (P = 0.016) in PTs (74.1 %) than in FAs. (46.6 %). As for FAs, this frequency was significantly higher (P = 0.001) for intracanalicular type (69.0 %) than for other histological subtypes such as pericanalicular, organoid, and mastopathic types (24.1 %). Laser microdissection study revealed that stromal cells, but not epithelial cells, harbored MED12 mutations in both FAs and PTs. MED12 mutation is implicated in the pathogenesis of both FAs and PTs. The similarly high frequency of MED12 mutation in intracanalicular type FAs suggests that they are most closely related to PTs. It is thus speculated that FAs with MED12 mutation are more likely to progress to PTs.

Construction of novel immune-related signature for prediction of pathological complete response to neoadjuvant chemotherapy in human breast cancer

BACKGROUND The aim of this study was to construct a novel prediction model for the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) using immune-related gene expression data. PATIENTS AND METHODS DNA microarray data were used to perform a gene expression analysis of tumor samples obtained before NAC from 117 primary breast cancer patients. The samples were randomly divided into the training (n = 58) and the internal validation (n = 59) sets that were used to construct the prediction model for pCR. The model was further validated using an external validation set consisting of 901 patients treated with NAC from six public datasets. RESULTS The training set was used to construct an immune-related 23-gene signature for NAC (IRSN-23) that is capable of classifying the patients as either genomically predicted responders (Gp-R) or non-responders (Gp-NR). IRSN-23 was first validated using an internal validation set, and the results showed that the pCR rate for Gp-R was significantly higher than that obtained for Gp-NR (38 versus 0%, P = 1.04E-04). The model was then tested using an external validation set, and this analysis showed that the pCR rate for Gp-R was also significantly higher (40 versus 11%, P = 4.98E-23). IRSN-23 predicted pCR regardless of the intrinsic subtypes (PAM50) and chemotherapeutic regimens, and a multivariate analysis showed that IRSN-23 was the most important predictor of pCR (odds ratio = 4.6; 95% confidence interval = 2.7-7.7; P = 8.25E-09). CONCLUSION The novel prediction model (IRSN-23) constructed with immune-related genes can predict pCR independently of the intrinsic subtypes and chemotherapeutic regimens.

Association between c-myc amplification and pathological complete response to neoadjuvant chemotherapy in breast cancer

BACKGROUND The aim of this study was to investigate whether c-myc amplification in human breast cancer is associated with response to neoadjuvant chemotherapy comprising paclitaxel followed by 5-FU/epirubicin/cyclophosphamide (P-FEC). METHODS Tumour tissue samples were obtained before neoadjuvant chemotherapy (P-FEC) from 100 primary breast cancer patients (stage II/III). C-myc and HER2 amplification were examined by FISH, and oestrogen receptor (ER), progesterone receptor (PR), Ki67, and topoisomerase 2α (TOP2A) expression were examined immunohistochemically. Pathological complete response (pCR) was defined by a complete loss of tumour cells in the breast without any lymph node metastasis. RESULTS C-myc amplification was observed in 40% (40/100) of breast tumours, and was significantly associated with ER-negative tumours (23/40 for ER(-) versus 17/60 for ER(+), P=0.004), high histological grade tumours (11/18 for grade 3 versus 29/82 for grades 1+2, P=0.043) and TOP2A-positive tumours (28/51 for TOP2A(+) versus 12/49 for TOP2A(-), P=0.002). pCR rate was 20% for total patients (10.0% for ER(+) and 35.0% for ER(-)). Further, breast tumours with c-myc amplification (c-myc(+)) showed a significantly (P=0.041) higher pCR rate (12/40) than those without such amplification (c-myc(-)) (8/60). This association between pCR and c-myc amplification was observed in ER-positive tumours (4/17 for c-myc(+) versus 2/43 for c-myc(-), P=0.048) but not in ER-negative tumours (8/23 for c-myc(+) versus 6/17 for c-myc(-), P=0.973). CONCLUSION Our results suggest that c-myc amplification is significantly associated with a high pCR rate to P-FEC in breast tumours, especially in ER-positive tumours.

Methylated DNA and high total DNA levels in the serum of patients with breast cancer following neoadjuvant chemotherapy are predictive of a poor prognosis

In a previous study, we established a one-step methylation-specific polymerase chain reaction (OS-MSP) assay for the detection of methylated DNA (met-DNA) and total DNA levels in serum. For the present study, this OS-MSP assay was used for patients with breast cancer treated with neoadjuvant chemotherapy (NAC) in order to investigate the prognostic significance of met-DNA and total DNA levels. Following treatment with NAC and prior to surgery, serum samples obtained from 120 patients with stage II/III breast cancer were subjected to the OS-MSP assay for analysis of the glutathione S-transferase pi 1, Ras association (RalGDS/AF-6) domain family member 1 and retinoic acid receptor β2 genes. The detection of methylation in a minimum of one of these genes indicated a positive outcome of the assay. The total DNA content of the serum was also determined. Of the 120 stage II/III patients, seven (6%) were positive for met-DNA in serum and showed a significantly worse overall survival (OS) time compared with patients negative for met-DNA (n=113) (5-year OS, 43 vs. 85%; P=0.002). The patients with high total DNA levels in serum (n=40) also showed a significantly worse OS compared with those with low total DNA levels (n=80) (65 vs. 91%; P<0.001). The presence of met-DNA and high total DNA levels in the serum were found to be significant prognostic factors that are independent of a pathological complete response by multivariate analysis. Following NAC, met-DNA and high total DNA levels in the serum detected with the OS-MSP assay constitute novel prognostic factors for patients with breast cancer; this may be clinically useful for the prognosis prediction for patients who do not achieve a pathological complete response following NAC.

Clinicopathological analysis of breast ductal carcinoma in situ with ALDH1-positive cancer stem cells.

Objective: The aim of this study was to elucidate the clinicopathological characteristics of breast ductal carcinomas in situ (DCIS) with aldehyde dehydrogenase 1 (ALDH1)-positive cancer stem cells (CSCs). Methods: DCIS (n = 194) were subjected to immunohistochemical staining and results were examined for associations with various clinicopathological parameters. The ALDEFLUOR assay for breast cancer cell lines was also performed to determine the proportion of CSCs according to intrinsic subtype. Results: DCIS with ALDH1-positive CSCs were significantly (p < 0.05) more likely to be estrogen receptor-α (ER)-negative, progesterone receptor (PgR)-negative, Ki67-positive and HER2-positive tumors. Luminal A subtype (8.6%) showed a significantly (p < 0.001) lower ALDH1 positivity than the other subtypes [luminal B (50.0%), luminal HER2 (36.8%), HER2 (35.3%) and triple-negative subtype (26.7%)]. Double immunostaining revealed that ALDH1-positive CSCs did not overlap with ER-, PgR- or Ki67-positive tumor cells but did overlap with HER2-positive tumor cells. The percentage of ALDEFLUOR-positive CSCs was lower in the luminal A cell lines (0.02% for T-47D and 0.4% for MCF7) than in the luminal HER2 (9.1% for BT-474 and 9.5% for MDA-MB-361), HER2 (13.9% for AU565 and 33.2% for SK-BR-3) and triple-negative cell lines (28.4% for MDA-MB-231 and 30.7% for MDA-MB-468). Conclusions: Our results suggest that most CSCs in DCIS are in the G0 phase (Ki67 negative) and do not express ER or PgR, but they do express HER2 in HER2-positive tumors.

One-step nucleic acid amplification assay for intraoperative prediction of non-sentinel lymph node metastasis in breast cancer patients with sentinel lymph node metastasis

The aim of the present study was to construct the intra-operative prediction model of non-sentinel lymph node (non-SLN) metastasis in breast cancer patients with SLN metastasis using one-step nucleic acid amplification (OSNA). Of 833 breast cancer patients (T1-T2, N0) who underwent SLN biopsy and had their SLNs examined intra-operatively with the OSNA assay, 161 with SLN metastasis and treated with completion axillary lymph node dissection (cALND) were randomly divided into a training (n = 81) and a validation (n = 80) cohort. Non-SLN metastasis of the training cohort was associated with the number of positive SLNs (P = 0.001), CK19 mRNA copy number (P = 0.001), and clinical tumor size (P = 0.055). These parameters were used to construct the intra-operative prediction model of non-SLN metastasis. Its diagnostic accuracy (AUC of ROC curve) was 0.809 and 0.704 for the training and validation cohorts, respectively. The intra-operative prediction model using OSNA may have a diagnostic accuracy of non-SLN metastasis comparable to that of the conventional, post-operative prediction model, indicating that it might help decide the indication for cALND.