Predictive analysis of breast cancer response to neoadjuvant chemotherapy through plasma metabolomics.

PURPOSE: Preoperative chemotherapy is a critical component of breast cancer management, yet its effectiveness is not uniform. Moreover, the adverse effects associated with chemotherapy necessitate the identification of a patient subgroup that would derive the maximum benefit from this treatment. This study aimed to establish a method for predicting the response to neoadjuvant chemotherapy in breast cancer patients utilizing a metabolomic approach. METHODS: Plasma samples were obtained from 87 breast cancer patients undergoing neoadjuvant chemotherapy at our facility, collected both before the commencement of the treatment and before the second treatment cycle. Metabolite analysis was conducted using capillary electrophoresis-mass spectrometry (CE-MS) and liquid chromatography-mass spectrometry (LC-MS). We performed comparative profiling of metabolite concentrations by assessing the metabolite profiles of patients who achieved a pathological complete response (pCR) against those who did not, both in initial and subsequent treatment cycles. RESULTS: Significant variances were observed in the metabolite profiles between pCR and non-pCR cases, both at the onset of preoperative chemotherapy and before the second cycle. Noteworthy distinctions were also evident between the metabolite profiles from the initial and the second neoadjuvant chemotherapy courses. Furthermore, metabolite profiles exhibited variations associated with intrinsic subtypes at all assessed time points. CONCLUSION: The application of plasma metabolomics, utilizing CE-MS and LC-MS, may serve as a tool for predicting the efficacy of neoadjuvant chemotherapy in breast cancer in the future after all necessary validations have been completed.

Analysis of prognosis in different subtypes of invasive lobular carcinoma using the Japanese National Cancer Database-Breast Cancer Registry.

PURPOSE: Many studies have shown that the prognosis of invasive lobular carcinoma (ILC) is better than that of invasive ductal carcinoma (IDC). However, both disorders exhibit different prognoses according to molecular subtype, and the prognosis of ILC subtypes might depend on their hormone receptor positivity rate. This study clarified the prognosis of ILC and IDC in each subtype and examined the effectiveness of adjuvant chemotherapy (CT) in luminal ILC. METHODS: We planned the analysis using data from the Breast Cancer Registry in Japan. Because it was presumed that there are differences in characteristics between ILC and IDC, we created matched cohorts using exact matching to compare their prognoses. We compared the prognosis of ILC and IDC for each subtype. We also compared the prognosis of luminal ILC between the CT and non-CT groups. RESULTS: For all subtypes, the disease-free survival (DFS) and overall survival (OS) of ILC were poorer than those of IDC. In the analysis by each subtype, no statistically significant difference was found in DFS and OS in luminal human epidermal growth factor 2 (HER2), HER2, and triple-negative cohorts; however, luminal ILC had significantly poorer DFS and OS than luminal IDC. The CT effects on the prognosis of luminal ILC were greater in more advanced cases. CONCLUSION: Luminal ILC had a poorer prognosis than luminal IDC, contributing to the worse prognosis of ILC than that of IDC in the overall cohort. Different therapeutic approaches from luminal IDC are essential for a better prognosis of luminal ILC.

Efficacy and safety of dose-dense neoadjuvant chemotherapy with nab-paclitaxel followed by epirubicin and cyclophosphamide for operable breast cancer.

OBJECTIVE: Dose-dense chemotherapy has shown a better prognosis than standard interval chemotherapy in adjuvant settings for high-risk breast cancer. This study aimed to evaluate the efficacy and safety of dose-dense nanoparticle albumin-bound paclitaxel followed by dose-dense epirubicin and cyclophosphamide as neoadjuvant chemotherapy for human epidermal growth factor 2 (HER2)-negative operable breast cancer. METHODS: Patients with histologically confirmed stage I-III HER2-negative breast cancer were enrolled in this study. Patients received nanoparticle albumin-bound paclitaxel (260 mg/m2) followed by epirubicin (90 mg/m2) and cyclophosphamide (600 mg/m2) every 2 weeks with pegfilgrastim. The primary endpoint was the pathological complete response rate. Patients also underwent prophylactic management for peripheral neuropathy, which involved a combination of cryotherapy, compression therapy using elastic stockings and medications including goshajinkigan. RESULTS: Among the 55 patients enrolled in this study, 13 (23.6%) achieved pathological complete response, of whom 10/26 (38.5%) patients had triple-negative disease and 3/29 (10.3%) had luminal disease. The objective response was observed in 46 (83.6%) patients. Of the 36 patients who were initially planned for mastectomy, 11 (30.6%) underwent breast-conserving surgery after neoadjuvant chemotherapy. The most common grade 3-4 adverse events were myalgia (14.5%), fatigue (12.7%) and elevated transaminase levels (9.1%). No patients experienced febrile neutropenia. Eight (14.5%) patients discontinued treatments due to adverse events. CONCLUSIONS: Neoadjuvant dose-dense biweekly nanoparticle albumin-bound paclitaxel followed by dose-dense epirubicin and cyclophosphamide was effective, especially in patients with triple-negative disease, and feasible with pegfilgrastim support.

[A Case of Triple Negative Breast Cancer with Successful Control of Recurrent Disease Activity for More than Ten Years].

A woman in her 70s underwent mastectomy plus axillary lymph node excision(Bt plus Ax)in December 2011 for left breast cancer classified as pT2N1M0, pStage ⅡB. The tumor was identified as an invasive ductal carcinoma(IDC), neural/ glial antigen 2(NG2), pT2(35 mm), INF γ, ly2, v0, g+, f+, s+, extensive intraductal component(EIC)-negative, ICT- positive, NCAT-positive, n(4/18), estrogen receptor(ER)-negative, progesterone receptor(PgR)-negative, human epidermal growth factor receptor 2(HER2)-negative, Ki-67 30-40%. Postoperative adjuvant fluorouracil plus epirubicin HCl plus cyclophosphamide(FEC)plus paclitaxel(PTX)therapy was administered. The patient refused to undergo postoperative radiation therapy. Two years after the surgery, she was diagnosed as having a lung metastasis and local disease recurrence. Biopsy of the local recurrent lesion revealed the same histopathological diagnosis as before. Capecitabine was selected for treatment of the recurrent lesion. After 2 years of capecitabine treatment, the response was rated as progressive disease (PD). At this time, eribulin mesylate was selected, along with intensity-modulated radiation therapy(IMRT). This resulted in disappearance of the tumor on imaging. However, considering that the histological findings did not suggest complete response(CR)and that the tumor was triple-negative(TN), we adopted a strategy of continuing the drug therapy at reduced dose level. With this strategy, the disease activity could be successfully controlled for 6.5 years. Subsequently, liver metastasis was detected, and the drug was switched to vinorelbine ditartrate(a drug with less non-hematological toxicity). Meanwhile, a breast cancer susceptibility gene(BRCA)analysis was performed in January 2021, which was negative. Subsequently, in September 2021, we obtained a positive result for PDL1-SP142 and negative result for 22C3. About half a year later, ie, in October 2021(11 years after the surgery), we detected an increase in the size of the liver metastasis and selected atezolizumab and nab-PTX for treatment. Applicable regimens of drug therapy are still available at present and drug therapy has been continued based on a discussion and mutual understanding of the adverse reactions, etc. with the patient. Few reports have been published concerning long-term survivors among TN breast cancer cases.

Feasibility study on collecting patient-reported outcomes from breast cancer patients using the LINE-ePRO system.

Due to the increasing complexity of cancer treatment, ensuring safety and maintaining the quality of life during treatment are important issues. Patient-reported outcomes (PROs) in oncology are essential for assessing patient symptoms. A feasibility study was undertaken on breast cancer patients by building a PRO data collection system based on LINE, one of the most popular social network service applications in Japan. In this study, one or more predefined PRO questions for each breast cancer patient's clinical situation were sent to the patient's LINE application daily. The patient selected a predefined answer by tapping the screen, but no free-text answers were allowed. Seventy-three patients were enrolled. The median observation period was 435 days (84-656 days), and the total number of PROs collected was 16,417, with a mean of 224.9 reports per patient. Patients on adjuvant endocrine therapy were notified of 2.5 questions per week, and the median number of responses per week and response rate were 2.387 (1.687-11.627) and 95.5%, respectively. Analyzing the results by age group, the number of responses from those aged 60 and above was equal to or higher than that of the younger age group. It was also possible to track each patient's PROs accurately. These results suggested that the design of the system, based on an application used daily, instead of using specifically prepared applications for collecting electronic PROs, was the reason for the favorable acceptance from patients and the satisfactory response rate from all age groups, including the elderly.

Establishment of a deep-learning system to diagnose BI-RADS4a or higher using breast ultrasound for clinical application.

Although the categorization of ultrasound using the Breast Imaging Reporting and Data System (BI-RADS) has become widespread worldwide, the problem of inter-observer variability remains. To maintain uniformity in diagnostic accuracy, we have developed a system in which artificial intelligence (AI) can distinguish whether a static image obtained using a breast ultrasound represents BI-RADS3 or lower or BI-RADS4a or higher to determine the medical management that should be performed on a patient whose breast ultrasound shows abnormalities. To establish and validate the AI system, a training dataset consisting of 4028 images containing 5014 lesions and a test dataset consisting of 3166 images containing 3656 lesions were collected and annotated. We selected a setting that maximized the area under the curve (AUC) and minimized the difference in sensitivity and specificity by adjusting the internal parameters of the AI system, achieving an AUC, sensitivity, and specificity of 0.95, 91.2%, and 90.7%, respectively. Furthermore, based on 30 images extracted from the test data, the diagnostic accuracy of 20 clinicians and the AI system was compared, and the AI system was found to be significantly superior to the clinicians (McNemar test, p < 0.001). Although deep-learning methods to categorize benign and malignant tumors using breast ultrasound have been extensively reported, our work represents the first attempt to establish an AI system to classify BI-RADS3 or lower and BI-RADS4a or higher successfully, providing important implications for clinical actions. These results suggest that the AI diagnostic system is sufficient to proceed to the next stage of clinical application.

Prognosis and effectiveness of chemotherapy for medullary breast carcinoma.

PURPOSE: We aimed to determine the prognosis and potential benefit of postoperative chemotherapy according to subtype of medullary breast carcinoma (MedBC), a very rare invasive breast cancer. METHODS: A cohort of 1518 female patients with unilateral MedBC and 284,544 invasive ductal carcinoma (IDC) cases were enrolled from the Japanese Breast Cancer Registry. Prognosis of MedBC was compared to IDC among patients with estrogen receptor (ER)-negative and HER2-negative subtype (553 exact-matched patients) and ER-positive and HER2-negative subtype (163 MedBC and 489 IDC patients via Cox regression). Disease free-survival (DFS) and overall survival (OS) were compared between propensity score-matched adjuvant chemotherapy users and non-users with ER-negative and HER2-negative MedBC. RESULTS: Among ER-negative and HER2-negative subtype patients, DFS (hazard ratio (HR) 0.45; 95% confidence interval (95% CI), 0.30-0.68; log-rank P < 0.001) and OS (HR 0.51; 95% CI 0.32-0.83; log-rank P = 0.004) were significantly better in MedBC than IDC. Patients treated with postoperative chemotherapy showed better DFS (HR 0.27; 95% CI 0.09-0.80; log-rank P = 0.02) and OS (HR 0.27; 95% CI 0.09-0.80; log-rank P = 0.02) compared to those without. For the ER-positive and HER2-negative subtype, the point estimate for HR for DFS was 0.60 (95% CI 0.24-1.22) while that for OS was 0.98 (95% CI 0.46-1.84) for MedBC. CONCLUSION: In ER-negative and HER2-negative MedBC, the risk of recurrence and death was significantly lower than that of IDC, about half. Postoperative chemotherapy reduced recurrence and mortality. ER-positive and HER2-negative MedBC may have a lower risk of recurrence compared to IDC.

Large Nipple Volume as a Risk Factor of Nipple-areola Complex Necrosis Following Nipple-sparing Mastectomy.

BACKGROUND: Nipple-areola complex (NAC) necrosis, which is caused by local ischemia, remains one of the complications associated with nipple-sparing mastectomy. Obesity, smoking, diabetes mellitus, and immediate breast reconstruction have been identified as risk factors of NAC necrosis. The current study examined the correlation between NAC necrosis and nipple volume. MATERIALS AND METHODS: A total of 83 patients who underwent NSM for primary breast cancer from January 2016 to December 2019 were retrospectively analyzed. Nipple volume was determined using the formula: volume (cc) = length × width × height (mm), with measurements determined using contrast-enhanced magnetic resonance imaging. Total and partial NAC necrosis was defined as full-thickness necrosis requiring surgical procedures and epidermal necrosis managing local wound care, respectively. RESULTS: NAC necrosis was observed in 30 patients (36%), with 3 and 27 patients having total and partial necrosis, respectively. Large nipple volume (56% vs. 24%, p = 0.006), as well as smoking and immediate breast reconstruction (57 vs. 28%, p = 0.017; 48% vs. 20%, p = 0.009, respectively), were significantly correlated with NAC necrosis. Multivariate analysis identified nipple volume as an independent risk factor for NAC necrosis (OR, 3.75; 95% CI, 1.23-11.44; p = 0.02). Smoking (OR, 4.68; 95% CI, 1.37-15.94; p = 0.014) and immediate breast reconstruction (OR, 3.43; 95% CI, 1.05-11.23; p = 0.042) were also independently associated with NAC necrosis. CONCLUSIONS: This study suggested that a large nipple volume could be one of the risk factors for NAC necrosis following NSM.

Breast cancer survival among Japanese individuals and US residents of Japanese and other origins: a comparative registry-based study.

BACKGROUND: Breast cancer survival outcomes vary across different ethnic groups. We clarified the differences in clinicopathological and survival characteristics of breast cancer among Japanese, US residents with Japanese origin (USJ), and US residents with other origins (USO). METHOD: Using Surveillance, Epidemiology, and End Results (SEER) 18 dataset and Japanese Breast Cancer Society (JBCS) registry, we included patients first diagnosed with breast cancer between 2004 and 2015. We categorized the patients into three groups based on the database and the recorded ethnicity: Japanese (all those from the JBCS registry), USJ (those from SEER with ethnicity: Japanese), and USO (those from SEER with ethnicity other than Japanese). Excluding patients diagnosed after 2012, stage 0, and 4 patients, we examined the overall survival (OS) and breast cancer-specific survival (BCSS) using the Kaplan-Meier method and Cox proportional hazards models, adjusting for age, sex, cancer stage, and hormone receptor (HR) status. RESULTS: We identified 7362 USJ, 701,751 USO, and 503,013 Japanese breast cancer patients. The proportion of HR-positive breast cancer was the highest among USJ (71%). OS was significantly longer among Japanese and USJ than USO (Hazard ratio 0.46; 95% Confidence Interval [CI] 0.45-0.47 for Japanese and 0.66 [95% CI 0.59-0.74] for USJ) after adjusting for baseline covariates. BCSS was also significantly higher in the two groups (HR 0.53 [95% CI 0.51-0.55] for Japanese and 0.53 [95% CI 0.52-0.74] for USJ). CONCLUSIONS: In stage I-III breast cancer, Japanese and US residents with Japanese origin experienced significantly longer survival than US residents with non-Japanese origins.

Ovarian hyperstimulation closely associated with resumption of follicular growth after chemotherapy during tamoxifen treatment in premenopausal women with breast cancer: a multicenter retrospective cohort study.

BACKGROUND: We previously reported that tamoxifen (TAM)-induced ovarian hyperstimulation (OHS) is associated with high serum concentrations of estradiol in premenopausal women with breast cancer. To investigate risk factors for TAM-induced OHS, we performed a retrospective multicenter study. METHODS: Premenopausal patients who received surgical therapy for endocrine-dependent breast cancer (n = 235) were recruited in this study and classified into 4 groups: group A, treated with TAM alone; group B, TAM treatment after 2-year-combined therapy with a gonadotropin-releasing hormone (Gn-RH) agonist; group C, TAM treatment after chemotherapy; group D, 5-year-combined therapy with TAM and a Gn-RH agonist. A serum estradiol value of more than 300 pg/mL or mean follicular diameter of more than 30 mm was defined as OHS. RESULTS: The incidence of OHS in group A (n = 13/26, 50.0%) was significantly higher than those in group B (n = 17/63, 27.0%), group C (n = 20/110, 18.2%), and group D (n = 0/36, 0%). The incidence of OHS was significantly correlated with aging, and the median serum concentration of estradiol in the presence of OHS was 823.0 pg/mL. The incidence of OHS (less than 47 years old) was 62.5% in group A, 48.6% in group B, and 28.2% in group C, respectively. Notably, the incidence rate of OHS following amenorrhea in group C (n = 13/20, 65.0%) was significantly higher than that in group B (n = 1/17, 5.9%). CONCLUSIONS: These findings indicate that the onset of OHS following amenorrhea was common in the post-chemotherapeutic group, while its ratio was low in the group after Gn-RH analog treatment, suggesting that combined treatment-based management involving TAM therapy is necessary for premenopausal patients with breast cancer.

Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination.

PURPOSE: The aim of this study is to explore new salivary biomarkers to discriminate breast cancer patients from healthy controls. METHODS: Saliva samples were collected after 9 h fasting and were immediately stored at - 80 °C. Capillary electrophoresis and liquid chromatography with mass spectrometry were used to quantify hundreds of hydrophilic metabolites. Conventional statistical analyses and artificial intelligence-based methods were used to assess the discrimination abilities of the quantified metabolites. A multiple logistic regression (MLR) model and an alternative decision tree (ADTree)-based machine learning method were used. The generalization abilities of these mathematical models were validated in various computational tests, such as cross-validation and resampling methods. RESULTS: One hundred sixty-six unstimulated saliva samples were collected from 101 patients with invasive carcinoma of the breast (IC), 23 patients with ductal carcinoma in situ (DCIS), and 42 healthy controls (C). Of the 260 quantified metabolites, polyamines were significantly elevated in the saliva of patients with breast cancer. Spermine showed the highest area under the receiver operating characteristic curves [0.766; 95% confidence interval (CI) 0.671-0.840, P < 0.0001] to discriminate IC from C. In addition to spermine, polyamines and their acetylated forms were elevated in IC only. Two hundred each of two-fold, five-fold, and ten-fold cross-validation using different random values were conducted and the MLR model had slightly better accuracy. The ADTree with an ensemble approach showed higher accuracy (0.912; 95% CI 0.838-0.961, P < 0.0001). These prediction models also included spermine as a predictive factor. CONCLUSIONS: These data indicated that combinations of salivary metabolomics with the ADTree-based machine learning methods show potential for non-invasive screening of breast cancer.

A population-based recurrence risk management study of patients with pT1 node-negative HER2+ breast cancer: a National Clinical Database study.

PURPOSE: Recurrence risk management of patients with small (≤ 2 cm), node-negative, human epidermal growth factor receptor 2 (HER2)-positive breast cancer remains challenging. We studied the effects of adjuvant chemotherapy and/or trastuzumab and survival outcomes among these patients, using data from the population-based Japanese National Clinical Database (NCD). METHODS: We identified a cohort of 2736 breast cancer patients with HER2+ pT1N0 disease: 489 pT1a, 642 pT1b, and 1623 pT1c. The median observation period was 76 months, and the 5-year follow-up rate was 48.2%. The number of events was 212 for disease-free survival (DFS), 40 for breast cancer-specific survival, and 84 for overall survival (OS). RESULTS: There were 24.5% of pT1a, 51.9% of pT1b, and 63.3% of pT1c patients who were treated systemically after surgery. OS in pT1b (logrank test; p = 0.03) and DFS in pT1c (logrank test; p < 0.001) were significantly improved in treated compared with untreated patients. In the Cox proportional hazards model, treated patients had significantly longer OS than untreated patients in pT1b (hazard ratio (HR) 0.20) and pT1c (HR 0.54) groups. Estrogen receptor-negative tumors was also a significant predictor of survival in pT1c (HR 2.01) but not pT1ab patients. Furthermore, HR was greater in patients aged ≤ 35 years (3.18) compared to that in patients aged 50-69 years in the pT1b group. CONCLUSIONS: NCD data revealed that systemic treatment improved OS in pT1bc but not in pT1a node-negative HER2+ breast cancer patients. Future observational research using big-sized data is expected to play an important role in optimizing treatment for patients with early-stage breast cancer.

Clinicopathologic features of hormone-receptor-positive breast cancer patients with late recurrence.

The number of long-term breast cancer survivors with a risk of late recurrence is increasing. Hormone-receptor-positive patients have greater risks of late recurrence. Although several studies demonstrated that extended adjuvant endocrine therapy reduces the incidence of late recurrence, it remains unclear which hormone-receptor-positive patients have greater risks of late recurrence. Hormone-receptor-positive breast cancer patients were retrospectively selected from the prospective database of primary breast cancer patients treated at Keio University Hospital from January 1989 to December 2003. Late recurrence was defined as initial recurrence after 5 years from the initial surgery. We evaluated the clinicopathologic features of breast cancer patients with late recurrence. At a median follow-up of 10.9 years (range, 5.1-23.8), 371 patients had no recurrence, 90 had early recurrence (within 5 years), and 83 had late recurrence. Multivariate analysis revealed that >4 involved lymph nodes were significant risk factors for late recurrence (P < .001), whereas 1-3 positive nodes were not. Endocrine therapy significantly reduced the incidence of late recurrence (P < .001). After menopause, adjuvant therapy with aromatase inhibitors resulted in longer disease-free survival than tamoxifen (10-year disease-free survival: 97.6% vs 89.7%, P = .0955). High nodal involvement was significantly correlated with late recurrence in hormone-receptor-positive breast cancer patients. Hormone-receptor-positive breast cancer patients who receive adjuvant endocrine therapy with tamoxifen alone might be candidates for extended endocrine therapy.

Phase II trial of eribulin mesylate as a first- or second-line treatment for locally advanced or metastatic breast cancer: a multicenter, single-arm trial.

BACKGROUND: Eribulin mesylate is currently indicated as a sequential monotherapy to be administered after two chemotherapeutic regimens, including anthracycline and taxane treatments, for treatment of metastatic breast cancer. This open-label, multicenter phase II study was designed to evaluate the efficacy and safety of eribulin as a first- or second-line treatment for patients with metastatic breast cancer. METHODS: The primary objective was to determine the overall response rate. Secondary objectives were to evaluate progression-free survival and the safety profile. Patients were scheduled to receive eribulin mesylate 1.4 mg/m2 intravenously on days 1 and 8 of a 21-day cycle. Patients received the study treatment unless disease progression, unacceptable toxicity, or a request to discontinue from the patient and/or investigator eventuated. RESULTS: Between December 2012 and September 2015, 32 patients with metastatic breast cancer were enrolled at 10 participating clinical institutions in Japan, and toxicity and response rates were evaluated. The overall response rate was 43.8% (95% confidence interval [CI] 26.5-61.0). The clinical benefit and tumor control rates were 56.3% (95% CI 39.0-73.5) and 78.1% (95% CI 63.8-92.5), respectively. Median progression-free survival was 8.3 months (95% CI 7.1-9.4). A subgroup analysis did not identify any factors affecting the efficacy of eribulin. The most common adverse events were neutropenia (71.9%), alopecia (68.7%), and peripheral neuropathy (46.9%). As a first- or second-line therapy, eribulin showed sufficient efficacy for metastatic breast cancer compared with taxane and capecitabine treatment in previous clinical trials. The safety profile of eribulin was acceptable. CONCLUSIONS: Eribulin may be another option for first-line chemotherapeutic regimens for metastatic breast cancer. TRIAL REGISTRATIONS: This trial was retrospectively registered at the University Hospital Medical Information Network (UMIN) Clinical Trial Registry (ID number: UMIN000010334 ). Date of trial registration: April 1st, 2013.

Mindfulness-based cognitive therapy for Japanese breast cancer patients-a feasibility study.

OBJECTIVES: Mindfulness-based intervention has been receiving growing attention in cancer care. This study aimed to examine feasibility and to preliminary explore effectiveness of mindfulness-based cognitive therapy (MBCT) in Japanese breast cancer patients, and to explore possible modification of the program so that it fits better with this population. METHODS: Twelve participants with diagnosis of Stage I-III breast cancer received an eight session, weekly MBCT intervention in a group therapy format. The participants were followed up until 3 months after the completion of the program. RESULTS: All the participants completed the program with high attendance rate (mean number of attended sessions = 7.7). Significant improvement in anxiety (Hospital Anxiety and Depression Scale (HADS) - anxiety subscale; effect size Cohen's d = 0.88, P < 0.05), trauma-related psychological symptoms (Impact of Event Scale-revised; d = 0.64, P < 0.01) and quality of life (Functional Assessment of Cancer Therapy-Breast Cancer: FACT-B; d = 0.72, P < 0.01), and trend-level improvement in depression (HADS - depression subscale; d = 0.53, P = 0.054) were observed. Qualitative analyses suggested the program may be beneficial for alleviating fear of cancer recurrence and for increasing spiritual well-being. Some recommended modification of the program was indicated from the post-intervention interviews. CONCLUSIONS: Mindfulness-based cognitive therapy was well accepted by Japanese breast cancer patients and yielded favorable effect on their psychological status and quality of life. Further effectiveness study in a randomized-control design is warranted.

Biological markers of invasive breast cancer.

Biological markers for breast cancer are biomolecules that result from cancer-related processes and are associated with particular clinical outcomes; they thus help predict responses to therapy. In recent years, gene expression profiling has made the molecular classification of breast cancer possible. Classification of breast cancer by immunohistochemical expression of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 and Ki-67 is standard practice for clinical decision-making. Assessments of hormone receptor expression and human epidermal growth factor receptor 2 overexpression help estimate benefits from targeted therapies and have greatly improved prognoses for women with these breast cancer types. Although Ki-67 positivity is associated with an adverse outcome, its clear identification is an aid to optimal disease management. Standardization of testing methodology to minimize inter-laboratory measurement variations is a remaining issue. Multi-gene assays provide prognostic information and identify those most likely to benefit from systemic chemotherapy. Incorporating molecular profiles with conventional pathological classification would be more precise, and could enhance the clinical development of personalized therapy in breast cancer.

[CURRENT PERSPECTIVE ON SYSTEMIC THERAPY FOR BREAST CANCER].

The decision to use adjuvant therapy for breast cancer takes into account tumor biology and tumor stage. Because there have been no effective predictive factors for chemotherapy, current guidelines generally recommend chemotherapy for high-risk breast cancer. Multigene assays may predict the benefit from chemotherapy. With the recognition that estrogen has an important role in the promotion and progression of hormone receptor-positive breast cancer, endocrine therapy is a principle component in the treatment of hormone-sensitive breast cancer. The endocrine treatment of breast cancer utilizes strategies that reduce or halt estrogen production, block signaling through the estrogen receptor (ER), or antagonize the ER itself. Tamoxifen has been recommended for premenopausal women with hormone receptor-positive breast cancer during the past 15 years. The value of adding luteinizing hormone-releasing hormone in premenopausal women who receive tamoxifen should be considered in the high-risk premenopausal cohort. For most women with postmenopausal breast cancer, aromatase inhibitors are recommended. The extension of treatment with endocrine treatment to 10 years could improve the prognosis of hormone receptor-positive breast cancer patients. The benefit of adjuvant trastuzumab was established for human epidermal growth factor type 2-overexpressing breast cancer patients.

Prognostic implications of receptor discordance between primary and recurrent breast cancer.

BACKGROUND: Discordance rates of hormone receptor (HR) and human epidermal growth factor-2 (HER2) status between primary and recurrent breast cancer were reported to be in the wide range of 10-40 %, although its prognostic relevance remains to be elucidated. METHODS: Fifty-five breast cancer patients had biopsies or resections of recurrent lesions. Pathological assessments of the HR and HER2 status of primary and recurrent lesions were performed in a single laboratory at Keio University Hospital. Tumors were classified as luminal (HR+ and HER2-), luminal/HER2 (HR+ and HER2+), HER2 (HR- and HER2+), or triple negative (HR- and HER2-). RESULTS: Discordance rates in estrogen receptor (ER), progesterone receptor (PgR) and HER2 status between primary tumors and recurrent lesions were 16.4, 30.9 and 10.2 %, respectively. Overall, 14 patients (25.5 %) changed subtypes at recurrent lesions. Patients with a gain in ER and PgR status had a significantly longer disease-free interval compared with the corresponding concordant-negative patients (ER: 99.0 vs. 18.5 months, p = 0.037, PgR: 141.0 vs. 24.4 months, p = 0.011). Patients with a loss of HER2 status experienced a trend toward shorter time to progression, compared with patients who maintained HER2 positivity (4.0 vs. 18.4 months, p = 0.051). CONCLUSIONS: Discordance in receptor status between primary and recurrent breast cancers were seen in 10-30 %. A gain in HR status was significantly associated with better prognosis.