Second and subsequent lines of chemotherapy for metastatic breast cancer: what did we learn in the last two decades?

Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study

BACKGROUND

Providing appropriate specialized treatment to the right patient at the right time is considered necessary in cancer management. Targeted therapy tailored to the genetic changes of each breast cancer patient is a desirable feature of precision oncology, which can not only reduce disease progression but also potentially increase patient survival. The use of artificial intelligence alongside precision oncology can help physicians by identifying and selecting more effective treatment factors for patients.

METHOD

A systematic review was conducted using the PubMed, Embase, Scopus, and Web of Science databases in September 2023. We performed the search strategy with keywords, namely: Breast Cancer, Artificial intelligence, and precision Oncology along with their synonyms in the article titles. Descriptive, qualitative, review, and non-English studies were excluded. The quality assessment of the articles and evaluation of bias were determined based on the SJR journal and JBI indices, as well as the PRISMA2020 guideline.

RESULTS

Forty-six studies were selected that focused on personalized breast cancer management using artificial intelligence models. Seventeen studies using various deep learning methods achieved a satisfactory outcome in predicting treatment response and prognosis, contributing to personalized breast cancer management. Two studies utilizing neural networks and clustering provided acceptable indicators for predicting patient survival and categorizing breast tumors. One study employed transfer learning to predict treatment response. Twenty-six studies utilizing machine-learning methods demonstrated that these techniques can improve breast cancer classification, screening, diagnosis, and prognosis. The most frequent modeling techniques used were NB, SVM, RF, XGBoost, and Reinforcement Learning. The average area under the curve (AUC) for the models was 0.91. Moreover, the average values for accuracy, sensitivity, specificity, and precision were reported to be in the range of 90-96% for the models.

CONCLUSION

Artificial intelligence has proven to be effective in assisting physicians and researchers in managing breast cancer treatment by uncovering hidden patterns in complex omics and genetic data. Intelligent processing of omics data through protein and gene pattern classification and the utilization of deep neural patterns has the potential to significantly transform the field of complex disease management.

Patient-centered dosing: oncologists' perspectives about treatment-related side effects and individualized dosing for patients with metastatic breast cancer (MBC)

PURPOSE

Although metastatic breast cancer (MBC) is treatable, it is not curable and most patients remain on treatment indefinitely. While oncologists commonly prescribe the recommended starting dose (RSD) from the FDA-approved label, patient tolerance may differ from that seen in clinical trials. We report on a survey of medical oncologists' perspectives about treatment-related toxicity and willingness to discuss flexible dosing with patients.

METHODS

We disseminated a confidential survey via social media/email in Spring 2021. Eligible respondents needed to be US-based medical oncologists with experience treating patients with MBC.

RESULTS

Of 131 responses, 119 were eligible. Physicians estimated that 47% of their patients reported distressing treatment-related side effects; of these, 15% visited the Emergency Room/hospital and 37% missed treatment. 74% (n = 87) of doctors reported improvement of patient symptoms after dose reduction. 87% (n = 104) indicated that they had ever, if appropriate, initiated treatment at lower doses. Most (85%, n = 101) respondents did not believe that the RSD is always more effective than a lower dose and 97% (n = 115) were willing to discuss individualized dosing with patients.

CONCLUSION

Treatment-related side effects are prevalent among patients with MBC, resulting in missed treatments and acute care visits. To help patients tolerate treatment, oncologists may decrease initial and/or subsequent doses. The majority of oncologists reject the premise that a higher dose is always superior and are willing to discuss individualized dosing with patients. Given potential improvements regarding quality of life and clinical care, dose modifications should be part of routine shared decision-making between patients and oncologists.

Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles

Doxorubicin is a common treatment for breast cancer. However, not all patients respond to this drug, which sometimes causes life-threatening side effects. Accurately anticipating doxorubicin-resistant patients would therefore permit to spare them this risk while considering alternative treatments without delay. Stratifying patients based on molecular markers in their pretreatment tumors is a promising approach to advance toward this ambitious goal, but single-gene gene markers such as HER2 expression have not shown to be sufficiently predictive. The recent availability of matched doxorubicin-response and diverse molecular profiles across breast cancer patients permits now analysis at a much larger scale. 16 machine learning algorithms and 8 molecular profiles are systematically evaluated on the same cohort of patients. Only 2 of the 128 resulting models are substantially predictive, showing that they can be easily missed by a standard-scale analysis. The best model is classification and regression tree (CART) nonlinearly combining 4 selected miRNA isoforms to predict doxorubicin response (median Matthew correlation coefficient (MCC) and area under the curve (AUC) of 0.56 and 0.80, respectively). By contrast, HER2 expression is significantly less predictive (median MCC and AUC of 0.14 and 0.57, respectively). As the predictive accuracy of this CART model increases with larger training sets, its update with future data should result in even better accuracy.

Objective Response to First-Line Treatment as a Predictor of Overall Survival in Metastatic Breast Cancer: A Retrospective Analysis from Two Centers over a 25-Year Period

<b><i>Introduction:</i></b> The purpose of this study was to study the efficacy of subsequent treatment lines for metastatic breast cancer (MBC), as well as the association between radiologic objective response rate (ORR) and overall survival (OS). <b><i>Methods:</i></b> In this retrospective study, consecutive patients treated for MBC in two centers in Greece from January 1, 1992, to December 31, 2016, were identified and clinicopathologic data regarding tumor characteristics and administered treatments were collected. The efficacy per treatment line in terms of ORR, progression-free survival (PFS) and OS, as well as the prognostic value of ORR at first line were investigated. <b><i>Results:</i></b> A total of 977 patients with MBC were identified; 950 received any treatment. At first line, ORR was 43.5%, PFS 11.4 months (95% CI 10.4–12.4), and median OS 52.4 months (95% CI 47.7–57.1). Lower ORR and shorter PFS were observed with each subsequent line. Median OS was significantly longer for patients that had an objective response at first line, 61.9 months (95% CI 51.1–69.7) for responders versus 41.3 months (95% CI 44.1–63.3) for nonresponders (<i>p</i> &#x3c; 0.001). In multivariable analysis, failure to achieve an objective response was an independent predictor of poor survival (hazard ratio 1.70, 95% CI 1.34–2.15, <i>p</i> &#x3c; 0.001). <b><i>Conclusion:</i></b> Late treatment lines for MBC seem to have limited efficacy, while response to first-line therapy is associated with long-term survival. The latter should be considered in the treatment strategy of patients with MBC.

Are NCCN Resource-Stratified Guidelines for Breast Cancer Systemic Therapy Achievable? A Population-Based Study of Global Need and Economic Impact

PURPOSE

Resource-stratified guidelines (RSG) for cancer provide a hierarchy of interventions, based on resource availability. We quantify treatment need and cost if National Comprehensive Cancer Network (NCCN) RSGs for breast cancer (BC) are adopted globally.

METHODS

We developed decision trees for first-course systemic therapy, merged with SEER and Global Cancer Observatory 2018 incidence data to estimate treatment need and cost if NCCN RSG are implemented globally based on country-level income. Simulations were used to quantify need and cost of globally scaling up services to Maximal.

RESULTS

Based on NCCN RSG, first-course chemotherapy is indicated in 0% (Basic), 87% (Core), and 86% (Enhanced) but declined to 50% (Maximal) because of incorporation of genomic profiling. First-course endocrine therapy (ET) is indicated in 80% in all settings. In 2018, treatment need was 1.4 million people for chemotherapy, 183,943 for human epidermal growth factor receptor 2 (HER2) therapies and 1.6 million for ET. The cost per person for chemotherapy or HER2 or immunotherapy increased by 17-fold from Core to Maximal ($1,278-$22,313 Australian dollars [AUD]). The cost of ET per person rose eight-fold from Basic to Maximal ($1,236-$9,809 AUD). If all patients with BC globally were treated with Maximal resources, the need for chemotherapy would decline by 28%, whereas cost of first-course treatment would rise by 1.8-fold ($21-$37 billion AUD) because of more costly therapies.

CONCLUSION

NCCN RSGs for BC could result in chemotherapy overtreatment in Core and Enhanced settings. The absence of chemotherapy in Basic settings should be reconsidered, and future iterations of RSG should perform cross-tumor comparisons to ensure equitable resource distribution and maximize population-level outcomes. Our model is flexible and can be tailored to the costs, population attributes, and resource availability of any institution or country for health-services planning.

Phase II clinical trial using anti-CD3 × anti-HER2 bispecific antibody armed activated T cells (HER2 BATs) consolidation therapy for HER2 negative (0-2+) metastatic breast cancer

Background

Metastatic human epidermal growth receptor II (HER2) negative breast cancer remains incurable. Our phase I study showed that anti-CD3 × anti-HER2 bispecific antibody armed activated T cells (HER2 BATs) may be effective against HER2-tumors. This phase II trial evaluates the efficacy and immune responses of HER2 BATs given to patients with metastatic HER2-estrogen and/or progesterone receptor positive (HR+) and triple negative breast cancer (TNBC) as immune consolidation after chemotherapy. The primary objective of this study was to increase the traditional median time to progression after failure of first-line therapy of 2–4 months with the secondary endpoints of increasing overall survival (OS) and immune responses.

Methods

HER2- metastatic breast cancer (MBC) patients received 3 weekly infusions of HER2 BATs and a boost after 12 weeks.

Results

This phase II study included 24 HER2-HR+ and 8 TNBC patients who received a mean of 3.75 and 2.4 lines of prior chemotherapy, respectively. Eight of 32 evaluable patients were stable at 4 months after the first infusion. There were no dose limiting toxicities. Tumor markers decreased in 13 of 23 (56.5%) patients who had tumor markers. The median OS was 13.1 (95% CI 8.6 to 17.4), 15.2 (95% CI 8.6 to 19.8), and 12.3 (95% CI 2.1 to 17.8) months for the entire group, HER2-HR+, and TNBC patients, respectively. Median OS for patients with chemotherapy-sensitive and chemotherapy-resistant disease after chemotherapy was 14.6 (9.6–21.8) and 8.6 (3.3–17.3) months, respectively. There were statistically significant increases in interferon-γ immunospots, Th₁ cytokines, Th₂ cytokines, and chemokines after HER2 BATs infusions.

Conclusions

In heavily pretreated HER2-patients, immune consolidation with HER2 BATs after chemotherapy appears to increase the proportion of patients who were stable at 4 months and the median OS for both groups as well as increased adaptive and innate antitumor responses. Future studies combining HER2 BATs with checkpoint inhibitors or other immunomodulators may improve clinical outcomes.

Epidemiology of De Novo Metastatic Breast Cancer

Most cases of metastatic breast cancer (MBC) arise as a recurrence of a previously treated early breast cancer. Distinct from recurrent MBC is de novo MBC (dnMBC), which describes patients who present with distant sites of disease at initial diagnosis and is reviewed here. dnMBC represents approximately 3% to 6% of new breast cancer diagnoses in high-income countries. This incidence has not declined despite decades of widespread use of population-based mammography screening. Overrepresentation of both biologically aggressive tumors and patients negatively impacted by social determinants of health are characteristics of dnMBC. Survival has generally been superior for patients with dnMBC compared with those with recurrent MBC, although it is similar to that for patients with recurrent MBC with long disease-free intervals. Subgroups of patients with dnMBC who experience prolonged survival include those with human epidermal growth factor receptor-2-positive disease or hormone receptor-positive bone-only disease. Opportunities to decrease dnMBC presentation may include novel screening modalities suited for biologically aggressive breast tumors and improved access to health care. Recognizing that there will remain some women diagnosed with dnMBC, refining our ability to identify those likely to be long-term survivors could allow for appropriate escalation or de-escalation of care. Finally, evaluation of tumor genomics in robust sample sizes has the potential to advance our knowledge of the biology of dnMBC as an entity distinct from recurrent MBC.

The Impact of AC and AC-T Chemotherapy's Toxicities on Quality of Life Among Women with Breast Cancer in Ethiopia: A Prospective Patient-Reported Outcomes Study

PURPOSE

The study aimed to evaluate the quality of life patterns and the effects of AC and AC-T chemotherapy's toxicities on QoL among Ethiopian women with breast cancer.

METHODS

QoL was measured at baseline and at every end of two cycles, for the median of 8 cycles among 146 breast cancer women on AC and AC-T chemotherapy, using EORTC QLQ-C30 and BR23 instruments. The effect of QoL score, socio-demographic, and clinical variables at baseline were adjusted for the effect of chemotherapy's toxicities on QoL.

RESULTS

Overall QoL, all functional scales (except cognitive functioning, body image, future perspectives, and sexual functioning) and symptom scales (except dyspnea, insomnia, pain score, arm, and breast symptoms) of EORTC QLQ-C30 and BR23 deteriorated significantly both clinically and statistically, in particular, during the first two cycles of chemotherapy. After the end of cycle 2 or 4, except for cognitive, social functioning, and financial difficulties of the patients, almost all other QoL dimensions were improved towards pretreatment score by the end of cycle 8. In addition to age, educational status, and tumor stage, the Global Health Status (-10.55≤B≤-7.71, P≤0.013), and the functional scales (-25.320≤B≤-6.351, P≤0.033) of EORTC QLQ-C30 and BR23 were significantly affected at least by one of the AC and AC-T chemotherapy's toxicity such as grade≥2 fatigue, dysgeusia, constipation, dry mouth, vomiting, oral mucositis, skin hyperpigmentation and/or peripheral neuropathy than their lower grade. Grade≥2 fatigue, dysgeusia, oral mucositis, constipation, peripheral neuropathy, anemia arthralgia/myalgia, dry mouth, diarrhea, constipation, and/or skin hyperpigmentation were positively predicted for the deterioration of symptoms scale of EORTC QLQ-C30 and BR23 (4.819≤B≤26.451, P≤0.043).

CONCLUSION

Quality of life among Ethiopian breast cancer patients on AC and AC-T regimens significantly deteriorated particularly during the first two cycles of chemotherapy. In addition to the age, tumor stage and educational status of the patients, grade≥2 fatigue, dysgeusia, constipation, oral mucositis, dry mouth, peripheral neuropathy, and skin hyperpigmentation due to AC and AC-T chemotherapy were frequently associated with deterioration of different scales/items QoL. Hence, devising different strategies to improve the deteriorated QoL due to chemotherapy's toxicities particularly during the first two cycles has paramount importance.

Validation of a Cyclic Algorithm to Proxy Number of Lines of Systemic Cancer Therapy Using Administrative Data

PURPOSE

Researchers are automating the process for identifying the number of lines of systemic cancer therapy received by patients. To date, algorithm development has involved manual modifications to predefined classification rules. In this study, we propose a supervised learning algorithm for determining the best-performing proxy for number of lines of therapy and validate this approach in four patient groups.

MATERIALS AND METHODS

We retrospectively analyzed BC Cancer pharmacy records from patients' cancer diagnosis until end of follow-up (cohort-specific, 2014/2015). We created and validated a cyclic algorithm in patients with advanced cancers of varying histologies, diffuse large B-cell lymphoma, follicular lymphoma, and chronic lymphocytic leukemia. To assess internal and external validity, we used a split-sample approach for all analyses and considered lines of therapy identified through manual review as our criterion standard. We measured agreement using correlation coefficients, mean squared error, nonparametric hypothesis testing, and quantile-quantile plots.

RESULTS

Cohorts comprised 91 patients with advanced cancers, 121 with chronic lymphocytic leukemia, 440 with follicular lymphoma, and 679 with diffuse large B-cell lymphoma. Number of lines of therapy received and patients' treatment period length varied substantially across cohorts. Despite these differences, our algorithm successfully identified a best-performing proxy for number of lines of therapy for each cohort, which was moderate to highly correlated with (within-sample: 0.73 ≤ Pearson correlation ≤ 0.84; out-of-sample: 0.52 ≤ Pearson correlation ≤ 0.76) and whose distribution did not significantly differ from the criterion standard within or out of sample (P > .10).

CONCLUSION

Supervised learning is an ideal tool for generating a best-performing proxy that recognizes prescription drug patterns and approximates number of lines of therapy. Our cyclic approach can be used in jurisdictions with access to administrative pharmacy data.

Association of Serum Progranulin Levels With Disease Progression, Therapy Response and Survival in Patients With Metastatic Breast Cancer

BACKGROUND

Progranulin (GP88) is a critical player in breast tumorigenesis. GP88 tumor expression is associated with increased recurrence and mortality, whereas GP88 circulating levels are elevated in patients with breast cancer compared with healthy individuals. We examined here the correlation between serum GP88 levels in patients with metastatic breast cancer (MBC) with overall survival and disease status determined as response to therapy or progression of disease.

PATIENTS AND METHODS

An institutional review board (IRB)-approved study prospectively enrolled 101 patients with MBC at the University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center. GP88 serum levels were correlated with patients' disease status determined by Response Evaluation Criteria In Solid Tumors (RECIST) 1.1 criteria and survival outcomes by Kaplan-Meier analysis and log rank statistics.

RESULTS

Patients' survival was stratified by serum GP88 level. Patients with serum GP88 < 55 ng/mL had a 4-fold increased survival compared with patients with GP88 > 55 ng/mL. Examination of GP88 serum levels in association with disease status showed a statistically significant association between serum GP88 levels and disease progression or response to therapy while CA15-3 level was only associated to progression.

CONCLUSION

The association of serum GP88 level with survival and disease status suggests the potential of using the serum GP88 test for monitoring disease status in patients with MBC. Measurement of serum GP88 levels in patients with MBC may have clinical value as a cost-effective adjunct to the management of patients with MBC with imaging.

Survival impact of primary tumor resection in de novo metastatic breast cancer patients (GEICAM/El Alamo Registry)

The debate about surgical resection of primary tumor (PT) in de novo metastatic breast cancer (MBC) patients persists. We explored this approach's outcomes in patients included in a retrospective registry, named El Álamo, of breast cancer patients diagnosed in Spain (1990-2001). In this analysis we only included de novo MBC patients, 1415 of whom met the study's criteria. Descriptive, Kaplan-Meier and Cox regression analyses were carried out. Median age was 63.1 years, 49.2% of patients had single-organ metastasis (skin/soft tissue [16.3%], bone [33.8%], or viscera [48.3%]). PT surgery (S) was performed in 44.5% of the cases. S-group patients were younger, had smaller tumors, higher prevalence of bone and oligometastatic disease, and lower prevalence of visceral involvement. With a median follow-up of 23.3 months, overall survival (OS) was 39.6 versus 22.4 months (HR = 0.59, p < 0.0001) in the S- and non-S groups, respectively. The S-group OS benefit remained statistically and clinically significant regardless of metastatic location, histological type, histological grade, hormone receptor status and tumor size. PT surgery (versus no surgery) was associated with an OS benefit suggesting that loco-regional PT control may be considered in selected MBC patients. Data from randomized controlled trials are of utmost importance to confirm these results.

Paclitaxel Response Can Be Predicted With Interpretable Multi-Variate Classifiers Exploiting DNA-Methylation and miRNA Data

To address the problem of resistance to paclitaxel treatment, we have investigated to which extent is possible to predict Breast Cancer (BC) patient response to this drug. We carried out a large-scale tumor-based prediction analysis using data from the US National Cancer Institute’s Genomic Data Commons. These data sets comprise the responses of BC patients to paclitaxel along with six molecular profiles of their tumors. We assessed 10 Machine Learning (ML) algorithms on each of these profiles and evaluated the resulting 60 classifiers on the same BC patients. DNA methylation and miRNA profiles were the most informative overall. In combination with these two profiles, ML algorithms selecting the smallest subset of molecular features generated the most predictive classifiers: a complexity-optimized XGBoost classifier based on CpG island methylation extracted a subset of molecular factors relevant to predict paclitaxel response (AUC = 0.74). A CpG site methylation-based Decision Tree (DT) combining only 2 of the 22,941 considered CpG sites (AUC = 0.89) and a miRNA expression-based DT employing just 4 of the 337 analyzed mature miRNAs (AUC = 0.72) reveal the molecular types associated to paclitaxel-sensitive and resistant BC tumors. A literature review shows that features selected by these three classifiers have been individually linked to the cytotoxic-drug sensitivities and prognosis of BC patients. Our work leads to several molecular signatures, unearthed from methylome and miRNome, able to anticipate to some extent which BC tumors respond or not to paclitaxel. These results may provide insights to optimize paclitaxel-therapies in clinical practice.

Current treatment of HER 2+ metastatic breast cancer

Historically, HER2-positive breast cancer had a poor prognosis. The development of molecul ar ther apies that target the HER2 receptor has TR ansformed outcomes. Here, the evidence on Anti-HER2 therapies is summarised.

Effecst of Patho- Biological Factors on the Survival of Recurrent Breast Cancer Cases

Background: Recurrence of breast cancer after treatment is generally due to loco-regional invasion or distant metastasis. Although patients with metastasis are considered incurable, existing treatments might prolong a patient’s life while also improving its quality. Choice of approach for individual patients requires identification of relevant survival factors. This study concerns factors influencing survival after recurrence in Iranian breast cancer patients. Methods: This study was performed on 442 recurrent breast cancer patients referred to the Cancer Research Center of Shahid Beheshti University between 1985 and 2015. After confirming recurrence as a distant metastasis or loco-regional invasion, the effects of demographic, clinic-pathologic, biological, type of surgery and type of adjuvant treatment on survival were evaluated using univariate and multivariate stratified Cox models. Results: The mean survival after recurrence was 18 months (5 days to 13 years), 219 patients (70.42%) survived two years, 75 patients (24.12%) survived from 2 to 5 years, and 17 patients (5.47%) survived more than 5 years. In this study, it was found through univariate analysis that the factors of age, lymph node status, DFI, place of recurrence and nodal ratio demonstrated greatest influence on survival after recurrence. On multivariate analysis, the most important factors influencing survival were the place of recurrence and the lymph node status. Conclusion: The results of this study enhance our knowledge of effects of different factors on survival of patients after breast cancer recurrence. Thus, they may be used to inform treatment choice.

Outcomes of systemic therapy for advanced triple-negative breast cancer: A single centre experience

BACKGROUND

Prognosis is worse for advanced triple-negative breast cancer (aTNBC) compared to other disease subtypes. Trials describe treatment outcomes in single specified lines of therapy; but few data describe treatment outcomes across the whole treatment pathway, which is critical in determining when patients should be referred for trials and to inform discussion. We evaluated treatment outcomes for aTNBC (overall response rate [ORR], median progression-free survival [mPFS] and median overall survival [mOS]) in patients treated largely outside of clinical trials.

METHODS

We retrospectively identified 268 patients diagnosed with aTNBC from 01/12/2011 to 30/11/2016 from our electronic records and recorded patients' and tumour characteristics and treatment outcomes. Chi-squared/Fishers exact test and Kaplan-Meier statistical methods were utilised.

RESULTS

186 patients treated with ≥1 line of systemic treatment were eligible and had median age of 55 (range 26-91). 53.8% had ECOG Performance Status 0 and 69.9% visceral involvement. 38.6% had disease-free interval (DFI)≤12 months following surgery or adjuvant chemotherapy completion and 14.0% had de-novo advanced disease. 11.4% carried a BRCA mutation. 64.5% received two lines of therapy, 37.6% three and 21.5% four. ORR and mPFS were 43.9% and 3.7 months for first-line therapy, 40.2% and 3.5 months for second-line, 28.8% and 2.5 months for third-line and 25.0% and 2.1 months for fourth-line. In first line, DFI>12 months was associated with higher ORR and longer PFS compared DFI ≤12 months.

CONCLUSIONS

The observed response rates are consistent with literature. However, PFS is short, and early consideration of clinical trials can be justified in these patients.

Foreword

Delivering multifaceted, quality care to women living with metastatic breast cancer (MBC) demands professional competence and an advanced level of practice. The breast cancer nursing community is evolving to meet this need as more nurses are appointed specifically for the advanced disease setting, while nurses who previously worked only in early stage disease are now delivering care across the disease trajectory, fulfilling a 'diagnosis to death' nursing model. The MBC nursing community, linked by UK charity Breast Cancer Care and the Roche Nursing Matters programme, offers forums for learning, and provides ongoing support to this group of nurses. This supplement has been commissioned by Roche Products Ltd to continue supporting nurses who treat patients with MBC by sharing learning and best practice, with a view to encouraging innovation in service delivery.

Improving patient care: expert nursing and service development

Early access to a clinical nurse specialist will ensure that patients receive the interventions and support they need. Optimum outcomes will be achieved if specialists work in collaboration with a wider team.

Introduction

Metastatic breast cancer (MBC), also known as secondary breast cancer (SBC), occurs when cells from the primary breast tumour metastasise from the breast to other parts of the body via the blood or lymphatic systems. The disease may range from limited bone metastases to widespread and life-threatening metastases in visceral organs such as the liver, lung and brain (National Institute for Health and Care Excellence (NICE), 2009; 2014). MBC is incurable, and the primary goal of treatment is to extend life and palliate symptoms, while preserving quality of life (NICE, 2009; 2014).

Defining what matters most to patients

Advanced communication skills are needed to identify patients' needs and provide the psychological and social support they require. Meanwhile, early access to palliative care will improve symptom control.

Lymph node status have a prognostic impact in breast cancer patients with distant metastasis

BACKGROUND

The objective of this retrospective study was to determine whether lymph node metastasis has a prognostic impact on patients with stage IV breast cancer.

PATIENTS AND METHODS

Seven thousand three hundred and seventy-nine patients with de novo stage IV breast cancer diagnosed from 2004 to 2013 were identified. Kaplan-Meier estimate method was fitted to measure overall survival and breast cancer-specific survival (BCSS). Cox proportional hazard analysis was used to evaluate the association between N stage and BCSS after controlling variables such as other patient/tumor characteristics.

RESULTS

The primary site of M1 tumors was mainly upper-outer quadrant and overlapping lesion of the breast. Patients with N1 disease had better overall survival and BCSS than did those without lymph node metastasis. The overall survival and BCSS of M1 patients with N3 disease were significantly lower than that of those with N0, N1 and N2 disease, whereas patients with N2 and N0/N1 involvement showed no significant difference with survival. Multivariate analysis showed that lymph node metastasis was an important prognostic factor for M1 patients (N1 versus N0, hazard ratio [HR] = 0.902, 95% confidence interval [CI]: 0.825-0.986, p = 0.023; N3 versus N0, HR = 1.161, 95% CI: 1.055-1.276, p = 0.002). For M1 patients, age, race, marital status, primary site, ER, PR and HER2 were the independent prognostic factors.

CONCLUSIONS

The cohort study provides an insight into de novo stage IV breast cancer with lymph node metastasis. Our results indicated that accurate lymph node evaluation for stage IV patients is still necessary to obtain important prognostic information.

A randomized phase II study of paclitaxel alone versus paclitaxel plus sorafenib in second- and third-line treatment of patients with HER2-negative metastatic breast cancer (PASO)

Background

We conducted an open-label, randomized, two-arm multi-center study to assess the efficacy and safety of paclitaxel versus paclitaxel + sorafenib in patients with locally advanced or metastatic HER2-negative breast cancer.

Methods

Patients were randomly assigned to receive either paclitaxel monotherapy (80 mg/m²) weekly (3 weeks on, 1 week off) plus sorafenib 400 mg orally, twice a day taken continuously throughout 28 day cycles. Sorafenib dose was gradually escalated from a starting dose of 200 mg twice a day. The primary endpoint was progression free survival (PFS).

Results

A pre-planned efficacy interim analysis was performed on the data of 60 patients, 30 patients in each treatment arm. Median PFS was estimated at 6.6 months (95% CI: 5.1 to 9.0) in patients randomized to single-agent paclitaxel (Arm A) and 5.6 months (95% CI: 3.8 to 6.5) in patients randomized to paclitaxel-sorafenib combination (Arm B) therapy. Contrary to the hypothesis, the treatment effect was statistically significant in favor of paclitaxel monotherapy (hazard ratio 1.80, 95% CI: 1.02 to 3.20; log-rank test P = 0.0409). It was decided to stop the trial early for futility. Median OS was also in favor of Arm A (20.7 months (95% CI: 16.4 to 26.7) versus 12.1 months (95% CI: 5.8 to 20.4) in Arm B. Clinical control was achieved in 28 patients (93.3%) in Arm A and in 21 patients 70.0% in Arm B. Overall response rate was met in 43.3% of patients in Arm A and in 40.0% in Arm B. Toxicities were increased in Arm B with higher rates of diarrhea, nausea, neutropenia, hand-foot skin reaction (HFSR) and anorexia, Grad 3 and 4 toxicities were rare.

Conclusions

In this pre-planned interim analysis, paclitaxel-sorafenib combination therapy was not found to be superior to paclitaxel monotherapy with regard to the primary end point, progression-free survival. The trial was therefore discontinued early. There was no indication of more favorable outcomes for combination therapy in secondary efficacy end points. As expected, the safety and toxicity profile of the combination therapy was less favorable compared to monotherapy. Overall, this trial did not demonstrate that adding sorafenib to second- or third-line paclitaxel provides any clinical benefit to patients with HER2-negative advanced or metastatic breast cancer. Cautious dosing using a sorafenib ramp up schedule might have contributed to negative results.

Trial registration

The study was registered at EudraCT (No 2009–018025-73) and retrospectively registered at Clinical trials.gov on March 17, 2011 (NCT01320111).

Metabolic reprograming of anti-tumor immunity

Immunotherapies designed to trigger T cell destruction of tumor cells can result in sustained and complete responses in patients whose cancers were resistant to available treatment options. Evidence suggests that powering the T cell response - how T cells generate energy - plays an important role in their effectiveness. Furthermore the metabolism of T cells can be modulated to improve their anti-cancer activities. In this review, we will discuss the key metabolic properties of anti-cancer T cells, along with potential strategies to enhance immunotherapy through the modulation of T cell metabolism.

Retrospective evaluation of palliative care and hospice utilization in hospitalized patients with metastatic breast cancer

BACKGROUND

Hospitalizations in patients with metastatic cancer occur commonly at the end of life but have not been well-described in individuals with metastatic breast cancer.

AIM

To describe the reasons for admission and frequency of palliative care and hospice utilization in hospitalized patients with metastatic breast cancer.

DESIGN

This was a retrospective chart review of patients who had their first hospitalization with a diagnosis of metastatic breast cancer between 1 January 2009 and 31 December 2010. To standardize follow-up time, we collected data for 3 years post the index hospitalization.

SETTING/PARTICIPANTS

We identified 123 consecutive patients who were hospitalized for the first time with a diagnosis of metastatic breast cancer at a single, tertiary care center.

RESULTS

Uncontrolled symptoms accounted for half (50%, 62/123) of index admissions. The majority of patients died during the follow-up period (76%, 94/123), and the median time from index admission to death was 6 months (range: 0-34 months). Approximately half (53%, 50/94) died in the hospital or within 14 days of last hospital discharge, and less than one-third (29%, 27/94) were referred to hospice after their last hospitalization. The inpatient palliative care team evaluated 57% (54/94) of those who died at least once during an admission, but only 17% (16/94) of patients attended an outpatient palliative care appointment.

CONCLUSIONS

Hospitalized patients with metastatic breast cancer are commonly admitted for uncontrolled symptoms and have a poor prognosis. However, only a minority receive outpatient palliative care or are referred to hospice during their last hospitalization prior to death.

Challenges in shared decision making in advanced cancer care: a qualitative longitudinal observational and interview study

Background

Patients' preferences and expectations should be taken into account in treatment decision making in the last phase of life. Shared decision making (SDM) is regarded as a way to give the patient a central role in decision making. Little is known about how SDM is used in clinical practice in advanced cancer care.

Objective

To examine whether and how the steps of SDM can be recognized in decision making about second‐ and third‐line chemotherapy.

Methods

Fourteen advanced cancer patients were followed over time using face‐to‐face in‐depth interviews and observations of the patients' out‐clinic visits. Interviews and outpatient clinic visits in which treatment options were discussed or decisions made were transcribed verbatim and analysed using open coding.

Results

Patients were satisfied with the decision‐making process, but the steps of SDM were barely seen in daily practice. The creation of awareness about available treatment options by physicians was limited and not discussed in an equal way. Patients' wishes and concerns were not explicitly assessed, which led to different expectations about improved survival from subsequent lines of chemotherapy.

Conclusion

To reach SDM in daily practice, physicians should create awareness of all treatment options, including forgoing treatment, and communicate the risk of benefit and harm. Open and honest communication is needed in which patients' expectations and concerns are discussed. Through this, the difficult process of decision making in the last phase of life can be facilitated and the focus on the best care for the specific patient is strengthened.

Efficacy and Safety of Bevacizumab Combined with Chemotherapy for Managing Metastatic Breast Cancer: A Meta-Analysis of Randomized Controlled Trials

Although the FDA revoked metastatic breast cancer (MBC) from bevacizumab (BEV) indication in 2011, BEV combined with paclitaxel has been written in the breast cancer NCCN guidelines. This systematic assessment was performed to evaluate the efficacy and safety of BEV + chemotherapy (CHE) for managing MBC. PubMed and EMBASE were searched for original articles written in English and published before July, 2015. Progression-free survival was significantly improved in the CHE + BEV arms compared to the CHE arms in overall group and in human epidermal growth factor receptor 2-negative group (HR 0.75, 95% CI: 0.68–0.84, P < 0.001; HR 0.75, 95% CI: 0.69–0.82, P < 0.001). There were no significant improvement in overall survival in the CHE + BEV arms compared to the CHE arms. Significantly more grade 3 febrile neutropenia, hypertension, proteinuria, and cardiac events were observed in the CHE + BEV arm, which are controllable and reversible. Severe bleeding occurred more in the BEV + taxane arms and in patients with brain metastases. Therefore, CHE + BEV significantly increases progression-free survival in patients with MBC, it should be considered as a treatment option for these patients under the premise of reasonable selection of target population and combined CHE drugs.

Perspectives of Medical Specialists on Sharing Decisions in Cancer Care: A Qualitative Study Concerning Chemotherapy Decisions With Patients With Recurrent Glioblastoma

BACKGROUND

In cancer care, difficult decisions concerning advanced treatment need to be made, weighing possible life prolongation against harmful side effects. Treatment is frequently started, showing the need to explore how decisions are made. Little is known about the perspectives of physicians on sharing decision making with patients. This qualitative study aimed to describe the perspectives of medical specialists on the decision-making process with patients with glioblastoma concerning starting new treatment.

METHODS

Qualitative interviews were held with medical specialists. One focus group was organized with medical professionals. Their opinions about elements of shared decision making and the applicability in the context of patients with glioblastoma were assessed. The topic list for the focus group was based on the analysis of the interviews. Qualitative analysis of the transcripts was performed by three researchers independently.

RESULTS

Medical specialists considered shared decision making to be important; however, they did not adhere to its elements. Stopping treatment was not considered equal to continuing treatment. Exploration of the patients' wishes was done implicitly, and shared responsibility for the decision was not highly recognized. The main barriers to shared decision making were preferences of both patients and specialists for starting or continuing treatment and assumptions of physicians about knowing what patients want.

CONCLUSION

Medical specialists recognized the importance of patient involvement but experienced difficulty in sharing decision making in practice. Elements of shared decision making are partly followed but do not guide decision making. To improve cancer care, education of medical specialists and adjustment to the elements are needed to involve patients.

Treatment of Metastatic Breast Cancer in a Real-World Scenario: Is Progression-Free Survival With First Line Predictive of Benefit From Second and Later Lines?

INTRODUCTION

Despite the availability of several therapeutic options for metastatic breast cancer (MBC), no robust predictive factors are available to help clinical decision making. Nevertheless, a decreasing benefit from first line to subsequent lines of treatment is commonly observed. The aim of this study was to assess the impact of benefit from first-line therapy on outcome with subsequent lines.

METHODS

We analyzed a consecutive series of 472 MBC patients treated with chemotherapy (CT) and/or endocrine therapy (ET) between 2004 and 2012. We evaluated progression-free survival (PFS) at first (PFS1), second, third, and fourth therapeutic lines, according to treatment (ET and/or CT) and tumor subtypes.

RESULTS

In the whole cohort, median overall survival was 34 months, and median PFS1 was 9 months. A 6-month benefit was shown by 289 patients (63.5%) at first line, 128 (40.5%) at second line, 76 (33.8%) at third line, and 34 (23.3%) at fourth line. Not having a 6-month benefit at PFS1 was associated with less chance of benefit at second line (odds ratio [OR]: 0.48; 95% confidence interval [CI]: 0.29-0.77, p = .0026) and at any line beyond first (OR: 0.39; 95% CI: 0.24-0.62, p < .0001). In the total series, after stratification for tumor subtypes, a strong predictive effect was observed among HER2-positive tumors (OR: 0.2; 95% CI: 0.05-0.73, p = .0152).

CONCLUSION

Our results suggest that the absence of at least a 6-month benefit in terms of PFS with first-line therapy predicts a reduced probability of benefit from subsequent therapeutic lines, especially in HER2-positive disease.

IMPLICATIONS FOR PRACTICE

This study supports evidence showing that the absence of a 6-month benefit in terms of progression-free survival with first-line therapy predicts a lack of benefit from subsequent therapeutic lines in metastatic breast cancer. The random distribution of benefit experienced by a subset of the cohort further spurs an interest in identifying predictive factors capable of identifying the most appropriate therapeutic strategy.

Is the Proportion of Patients Diagnosed with Synchronous Stage IV Breast Cancer Who Survive More than Two Years Increasing over Time?

BACKGROUND

Studies have shown a moderate increase in survival over time among patients with stage IV breast cancer. Median survival is approximately 2 years. The aim of this study was to evaluate trends over time in survival of >2 years of patients with synchronous stage IV disease.

METHODS

Using the SEER (Surveillance, Epidemiology and End Results) registry, we identified patients with synchronous stage IV breast cancer diagnosed between 1990 and 2007. Patients were divided into 3 groups according to the year of diagnosis (1990-1995, 1996-2000, and 2001-2007). The probability of survival of >2 years was computed within each group of diagnosis years. A multivariate logistic regression model was then fit to determine the association between year of diagnosis and probability of surviving >2 years after adjusting for important prognostic factors.

RESULTS

22,601 patients were identified, of whom 9,435 (41.7%) had an overall survival of >2 years. The probability of breast cancer-specific survival (BCSS) of >2 years was 40.1, 44, and 48.1% among patients diagnosed in the periods 1990-1995, 1996-2000, and 2001-2007, respectively (p < 0.001). In the multivariate model, the probability of BCSS of >2 years increased with the more recent year of diagnosis (OR 1.058, 95% CI 1.046-1.069, p < 0.001). Other factors significantly associated with an increased probability of surviving >2 years included surgery of the primary tumor, lower grade, younger age, hormone receptor-positive disease, and noninflammatory disease.

CONCLUSION

Our results indicate that among the patients with synchronous stage IV breast cancer, the probability of BCSS of >2 years in the US has increased over time. Attributable factors may be the increasing number of efficacious agents and improved palliative care services over time.

Early detection of metastatic disease in asymptomatic breast cancer patients with whole-body imaging and defined tumour marker increase

BACKGROUND

Follow-up care in breast cancer is still an issue of debate. Diagnostic methods are more sensitive, and more effective therapeutic options are now available. The risk of recurrence is not only influenced by tumour stage but also by the different molecular subtypes. This study was performed to evaluate the use of whole-body imaging combined with tumour marker monitoring for the early detection of asymptomatic metastatic breast cancer (MBC).

METHODS

This analysis was performed as part of a follow-up study evaluating 813 patients with a median follow-up of 63 months. After primary therapy, all patients underwent tumour marker monitoring for CEA, CA 15-3 and CA 125 at 6-week intervals within an intensified diagnostic aftercare algorithm. A reproducible previously defined increase was considered as a strong indicator of MBC. From 2007 to 2010, 44 patients with tumour marker increase underwent whole-body magnetic resonance imaging and/or an FDG-PET/CT scan. Histological clarification and/or imaging follow-up were done.

RESULTS

Metastases were detected in 65.9% (29/44) of patients, 13.6% (6/44) had secondary malignancies besides breast cancer and 20.5% (9/44) had no detectable malignancy. Limited disease was found in 24.1% (7/29) of patients. Median progression-free survival of MBC was 9.2 months and median overall survival was 41.1 months. The 3- and 5-year survival rates were 64.2% and 40.0%, respectively.

CONCLUSIONS

A reproducible tumour marker increase followed by whole-body imaging is highly effective for early detection. By consequence, patients might benefit from earlier detection and improved therapeutic options with a prolonged survival.

Open-label uncontrolled pilot study to evaluate complementary therapy with Ruta graveolens 9c in patients with advanced cancer

BACKGROUND

Patients with advanced metastatic disease are often treated aggressively with multiple lines of chemotherapy, even in the last month of life. The benefit of such an approach remains uncertain. The objective of the study was to investigate whether Ruta graveolens 9c homeopathic medicine can improve quality of life (QoL) and tumour progression in patients with advanced cancer.

MATERIAL AND METHODS

This was a single-centre, open-label, uncontrolled, pilot study. Patients (>18-years, life-expectancy ≥3 months, performance status ≤2) with locally-advanced solid tumours or metastases, previously treated with all available standard anti-cancer treatments were recruited. Oral treatment consisted of two 1-mL ampoules of Ruta graveolens (9c dilution) given daily for a minimum of 8 weeks, or until tumour and/or clinical progression. Primary outcome was QoL measured using the EORTC QLQ-C30 questionnaire. Secondary outcome measures were anxiety/depression measured using the Hospital Anxiety and Depression Scale (HADS), WHO performance status (PS), tumour progression assessed using RECIST criteria and tumour markers, survival and tolerance.

RESULTS

Thirty-one patients were included (mean age: 64.3 years). Mean duration of treatment was 3.3 months (median: 2.1). QoL global health status improved significantly between baseline and week 8 (P < 0.001) and week 16 (P = 0.035), but was at the limit of significance (P = 0.057) at the end of the study. There was no significant change in anxiety/depression or PS during treatment. Ruta graveolens 9c had no obvious effect on tumour progression. Median survival was 6.7 months [95%CI: 4.8-14.9]. Ruta graveolens 9c was well-tolerated.

CONCLUSION

Some patients treated with Ruta graveolens 9c had a transitory improvement in QoL, but the effectiveness of this treatment remains to be confirmed in further studies.

The facilitating role of chemotherapy in the palliative phase of cancer: qualitative interviews with advanced cancer patients

Objective

To explore the extent to which patients have a directing role in decisions about chemotherapy in the palliative phase of cancer and (want to) anticipate on the last stage of life.

Design

Qualitative interview study.

Methods

In depth-interviews with 15 patients with advanced colorectal or breast cancer at the medical oncology department in a Dutch teaching hospital; interviews were analysed following the principles of thematic content-analysis.

Results

All patients reported to know that the chemotherapy they received was with palliative intent. Most of them did not express the wish for information about (other) treatment options and put great trust in their physicians’ treatment advice. The more patients were aware of the severity of their disease, the more they seemed to ‘live their life’ in the present and enjoy things besides having cancer. Such living in the present seemed to be facilitated by the use of chemotherapy. Patients often considered the ‘chemotherapy-free period’ more stressful than periods when receiving chemotherapy despite their generally improved physical condition. Chemotherapy (regardless of side-effects) seemed to shift patients’ attention away from the approaching last stage of life. Interestingly, although patients often discussed advance care planning, they were reluctant to bring on end-of-life issues that bothered them at that specific moment. Expressing real interest in people ‘as a person’ was considered an important element of appropriate care.

Conclusions

Fearing their approaching death, patients deliberately focus on living in the present. Active (chemotherapy) treatment facilitates this focus, regardless of the perceived side-effects. However, if anxiety for what lies ahead is the underlying reason for treatment, efforts should be made in assisting patients to find other ways to cope with this fear. Simultaneously, such an approach may reduce the use of burdensome and sometimes costly treatment in the last stage of life.

Which patients with metastatic breast cancer benefit from subsequent lines of treatment? An update for clinicians

The outcome of patients with metastatic breast cancer (MBC) has clearly improved over the past decades and the proportion of women living with their disease for several years is increasing. However, the usefulness of multiple lines of treatment is still debated and under evaluation. The available data from both randomized trials and large retrospective series are reviewed and discussed in order to analyze management practices, with emphasis on potential prognostic and predictive factors for clinical outcome. At present, evidence-based medicine provides some support for the use of second-line and to a lesser degree and in selected cases, third-line chemotherapy in human epidermal growth factor receptor 2 (HER2) negative MBC. Beyond third-line treatment, messages from recently reported retrospective studies also suggest a clear potential gain for women receiving further therapies after disease progression, since each line can contribute to a longer survival. In HER2-positive disease, the data from observational and retrospective studies support a clinical benefit from the use of trastuzumab beyond disease progression and emerging evidences from randomized controlled trials are leading to the introduction of newer HER2-targeted therapies in multiple lines. The question 'How many lines of treatment should we give patients?' clearly needs further research through prospective, high-quality clinical trials, aiming for a better definition of factors with prognostic and predictive role. In the meantime, the 'optimal' treatment strategy should probably be to use as many therapeutic options as possible, either in sequence or combination, to keep the best efficacy/toxicity balance, considering MBC as a chronic disease.

The first two lines of chemotherapy for anthracycline-naive metastatic breast cancer: a comparative study of the efficacy of anthracyclines and non-anthracyclines

For anthracycline-naive metastatic breast cancer (AN-MBC), early anthracycline treatment is a common practice. However, with the availability of newer chemotherapies, comparative studies on the efficacy of anthracyclines and non-anthracyclines as early treatments for AN-MBC are lacking. We collected retrospective clinicopathological data from 253 AN-MBC patients treated at National Taiwan University Hospital between 2001 and 2006. Patients were categorised into anthracycline or non-anthracycline groups according to their regimens in the first two lines of chemotherapy. The overall survival (OS, 33.3 vs. 34.2 months, p = 0.179), time to treatment failure of the first two lines of chemotherapy drugs (13.3 vs. 12.7 months, p = 0.104) and best composite response rate (59.5% vs. 61.1%, p = 0.81) were not significantly different between the two groups. Multivariate analysis showed that early anthracycline treatment was not a significant prognostic factor of OS (p = 0.052). Thus, the results of this study show that anthracyclines may not be necessary as an early treatment option for AN-MBC.

Adjuvant therapy reduces the benefit of palliative treatment in disseminated breast cancer - own findings and review of the literature

BACKGROUND

Adjuvant treatment concepts have improved the 10-year cure rate of breast and colon cancer, but new treatments for metastatic disease have yielded only incremental benefit. If treatments for disseminated cancer were actually prolonging life rather than only increasing remission rates, this effect should have been documented over the last 30+ years. However, published data concerning advances in treatment for disseminated cancer have been contradictory.

PATIENTS AND METHODS

To add data-based information, we analyzed 2 sources: a regional population-based cancer registry (Hamburgisches Krebsregister, HKR), and a research cancer registry (Projektgruppe Internistische Onkologie, PIO). We compared the survival of several thousand patients with metastatic disease who received treatment only after dissemination with that of patients who received initial adjuvant therapy.

RESULTS

After adjuvant treatment, survival in patients with disseminated breast cancer is up to a third shorter than that of patients without adjuvant therapy.

CONCLUSIONS

In accordance with published evidence, we conclude that ineffective adjuvant treatment shortens survival after documentation of metastatic disease. This is probably due to the elimination of chemo-sensitive tumor cells or to the induction of resistance in remaining micrometatases. This negative effect on survival after dissemination has been shown clearly for breast cancer and is also probable for cancer of the colon and other sites.

Improvement of quality of life in third-line chemotherapy with lapatinib in a case of metastatic breast cancer

We describe a case of a 72-year-old patient suffering from metastatic breast cancer. The disease had progressed slowly and was almost asymptomatic for a significant time. Toxicity, following third-line treatment with lapatinib, was not significant, and side effects were well controlled. The case is an excellent example of a chronic neoplastic disease in a patient who could be defined as “long-surviving”.

Living with metastatic breast cancer: a qualitative analysis of physical, psychological, and social sequelae

Women with metastatic breast cancer face a wide range of medical, practical, and emotional challenges that impact their quality of life. Research to date, however, has not focused on the quality-of-life concerns of metastatic breast cancer patients with significant distress. The present study examined a range of concerns among distressed metastatic breast cancer patients, including physical and emotional distress, social functioning, and existential issues. Forty-four distressed women with metastatic breast cancer wrote their deepest thoughts and feelings regarding their illness. These essays were thematically analyzed for effects of the illness on quality of life. Three themes were identified in patients' essays. First, metastatic breast cancer and its treatment may result in a number of quality-of-life concerns, including physical symptom burden, emotional distress, body image disturbance, and disrupted daily activities. Second, social constraints on disclosure of cancer-related concerns may exacerbate patients' distress. Third, many women experience a heightened awareness of life's brevity and search for meaning in their cancer experience. Results highlight a range of quality-of-life concerns following a metastatic breast cancer diagnosis and suggest that addressing social constraints on cancer-related disclosure and the search for meaning may improve patients' psychological adjustment.

Chemotherapy in Patients with Anthracycline- and Taxane-Pretreated Metastatic Breast Cancer: An Overview

Anthracyclines and taxanes are cytotoxic agents that are commonly used for the treatment of breast cancer, including in the adjuvant, neoadjuvant, and metastatic setting. Each drug class of is associated with cumulative and potentially irreversible toxicity, including cardiomyopathy (anthracyclines) and neuropathy (taxanes). This may either limit the duration of therapy for advanced disease, or prevent retreatment for recurrence if previously used as component of adjuvant or neoadjuvant therapy. Several classes of cytotoxic agents have been evaluated in patients with anthracycline and taxane-pretreated metastatic breast cancer (MBC), including other antitubulins (vinorelbine, ixabepilone, eribulin), antimetabolites (capecitabine, gemcitabine), topoisomerase I inhibitors (irinotecan), platinum analogues (cisplatin, carboplatin), and liposomal doxorubicin preparations. No trials have shown an overall survival advantage for combination chemotherapy in this setting, indicating that single cytotoxic agents should usually be used, expect perhaps in patients with rapidly progressive disease and/or high tumor burden.

Role of breast surgery in T1-3 breast cancer patients with synchronous bone metastases

The impact of breast surgery on survival of metastatic breast cancer (MBC) patients is controversial. We addressed the question in a mono-institutional series of MBC patients with synchronous bone metastases. We identified 187 consecutive women diagnosed between 2000 and 2008 with locally operable (T1-T3) MBC, synchronous bone metastases, with no other distant sites being involved. Progression-free survival (PFS) and overall survival (OS) were compared between operated and non-operated patients. Median age was 51 years; 92 % of the women had a hormone-positive tumor. At the time of diagnosis, 131 patients out of 187 (70 %) underwent surgery. Operated and non-operated patients differed in terms of number of bone metastatic sites: a single metastasis was detected in 35 (28 %) operated, and 6 (11 %) non-operated cases (P = 0.01). No other significant differences were observed. The multi-adjusted hazard ratio was 0.63 (95 % CI 0.43-0.92) for PFS and 0.64 (95 % CI 0.41-0.99) for OS in favor of surgery. The 5-year cumulative incidence of ipsilateral breast skin progressions among non-operated patients was 18 %. In this large and homogeneous series of MBC patients with synchronous bone metastases, the role of breast surgery had a favorable impact on both disease progression and mortality.

Prognostic factors and survival in metastatic breast cancer: A single institution experience

BACKGROUND

The current retrospective study aims to identify some determinants of survival in metastatic breast cancer.

METHODS

The study concerned 332 patients with synchronous (SM) or metachronous (MM) metastatic breast cancer treated between January 2000 and December 2007. Statistical comparison between subgroups of patients concerning survival was carried out employing log-rank test for the invariable analysis and Cox model for the multivariable analysis. Factors included: age group (≤50 years vs. >50; ≤70 years vs. >70; ≤35 years vs. >35), menopausal status, presentation of metastatic disease (SM vs. MM), disease free interval (DFI) (≤24 months vs. >24 months; ≤60 months vs. >60 months), performance status at diagnosis of metastatic disease (PS) (0-1 vs. >1), hormone receptors (HR), number of metastatic sites (1 site vs. >1), nature of the metastatic site (visceral vs. non visceral), first line therapy, surgery of the primary tumor (SPT), locoregional radiotherapy (LRRT) and use or not of bisphosphonates.

RESULTS

Overall survival at 5 years was 12%. Positive prognostic factors in univariate analysis were: age ≤ 70 years, hormono-dependence of the tumor, good PS (PS 0-1), less than two metastatic sites, no visceral metastases, DFI ≥ 24 months, SPT or LRRT. In multivariate analysis, favorable independent prognostic factors included: good PS (PS 0-1), absence of visceral metastases (liver, lung, brain) and age ≤ 70 years.

CONCLUSION

Many of the prognostic factors in metastatic breast cancer found in our study are known in the literature but some of them, like the application of locoregional treatment (radiotherapy or surgery) and the use of bisphosphonates, need to be further investigated in randomized clinical trials.

Outcome and clinical-biological characteristics of patients with advanced breast cancer undergoing removal of ovarian/pelvic metastases

BACKGROUND

Patients with metastatic breast cancer to the ovary, without tumor debulking and after systemic therapy, have a 5-year survival rate < 10%.

PATIENTS AND METHODS

We analyzed a series of 37 patients, operated in one institution over 10 years, for both the primary tumor (PT) and ovarian/pelvic metastases (OPM). Estrogen receptors (ER), progesterone receptors (PgR), HER-2 and Ki-67 were determined.

RESULTS

Patients were predominantly young: 27 (73%) patients were < 50 years. Average ER/PgR expression did not change significantly between PT (mean ER = 66%, PgR = 35%) and OPM (mean ER = 67%, PgR = 28%). Median time to OPM was 42 months (range 0-176); 5-year OS after OPM was 51% (95% confidence interval 32% to 67%). When combining ER and PgR status, patients with ER > 50% on both PT and OPM and with PgR > 50% on PT and/or OPM (good prognosis, 11 patients) had a better outcome versus0 patients with ER and PgR ≤ 50% on both PT and OPM (bad prognosis, eight patients) and also versus the remaining patients (intermediate prognosis, 18 patients), P value = 0.010.

CONCLUSION

Patients with OPM from breast cancer show a favorable prognosis after tumor debulking, whether it was radical or not, especially when a high expression of ER and PgR is present in both PT and OPM.

Local breast cancer spatial patterning: a tool for community health resource allocation to address local disparities in breast cancer mortality

Despite available demographic data on the factors that contribute to breast cancer mortality in large population datasets, local patterns are often overlooked. Such local information could provide a valuable metric by which regional community health resources can be allocated to reduce breast cancer mortality. We used national and statewide datasets to assess geographical distribution of breast cancer mortality rates and known risk factors influencing breast cancer mortality in middle Tennessee. Each county in middle Tennessee, and each ZIP code within metropolitan Davidson County, was scored for risk factor prevalence and assigned quartile scores that were used as a metric to identify geographic areas of need. While breast cancer mortality often correlated with age and incidence, geographic areas were identified in which breast cancer mortality rates did not correlate with age and incidence, but correlated with additional risk factors, such as mammography screening and socioeconomic status. Geographical variability in specific risk factors was evident, demonstrating the utility of this approach to identify local areas of risk. This method revealed local patterns in breast cancer mortality that might otherwise be overlooked in a more broadly based analysis. Our data suggest that understanding the geographic distribution of breast cancer mortality, and the distribution of risk factors that contribute to breast cancer mortality, will not only identify communities with the greatest need of support, but will identify the types of resources that would provide the most benefit to reduce breast cancer mortality in the community.