Pathologic complete response predicts recurrence-free survival more effectively by cancer subset: results from the I-SPY 1 TRIAL--CALGB 150007/150012, ACRIN 6657

Precision medicine for urothelial bladder cancer: update on tumour genomics and immunotherapy

Effective management of advanced urothelial bladder cancer is challenging. New discoveries that improve our understanding of molecular bladder cancer subtypes have revealed numerous potentially targetable genomic alterations and demonstrated the efficacy of treatments that harness the immune system. These findings have begun to change paradigms of bladder cancer therapy. For example, DNA repair pathway mutations in genes such as ERCC2, FANCC, ATM, RB1, and others can predict responses to neoadjuvant platinum-based chemotherapies and to targeted therapies on the basis of mutation status. Furthermore, an increasing number of pan-cancer clinical trials (commonly referred to as basket or umbrella trials) are enrolling patients on the basis of molecular and genetic predictors of response. These studies promise to provide improved insight into the true utility of personalized medicine in the treatment of bladder cancer and many other cancer types. Finally, therapies that modulate immune responses have shown great benefit in many cancer types. Several immune checkpoint inhibitors that target programmed cell death protein 1 (PD1), its ligand PDL1, and cytotoxic T lymphocyte-associated protein 4 (CTLA4) have already been approved for use in bladder cancer, representing the most important change to the urological oncologist's tool-kit in over a decade. These advances also provide opportunities for personalization of bladder cancer therapy.

Assessment of early response biomarkers in relation to long-term survival in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy plus bevacizumab: Results from the Phase II PROMIX trial

Pathologic complete response (pCR) is a predictor for favorable outcome after neoadjuvant treatment in early breast cancer. Modulation of gene expression may also provide early readouts of biological activity and prognosis, offering the possibility for timely response-guided treatment adjustment. The role of early transcriptional changes in predicting response to neoadjuvant chemotherapy plus bevacizumab was investigated. One-hundred-and-fifty patients with large, operable and locally advanced HER2-negative breast cancer received epirubicin and docetaxel, with the addition of bevacizumab. Patients underwent tumor biopsies at baseline, after Cycle 2 and at the time of surgery. The primary end point, pCR, and its relation with the secondary endpoints event-free survival (EFS), overall survival (OS) and gene expression profiles, are reported. The pCR rate was 13% (95% CI 8.6-20.2), with significantly more pCRs among triple-negative [28% (95% CI 14.8-45.4)] than among hormone receptor positive (HR+) tumors [9% (95% CI 4.6-16.3); (OR = 3.9 [CI = 1.5-10.3])]. pCR rates were not associated with EFS or OS. PAM50 subtypes significantly changed after Cycle 2 (p = 0.03) and an index of absolute changes in PAM50 correlations between these time-points was associated with EFS [HR = 0.62 (CI = 0.3-1.1)]. In univariable analyses, signatures for angiogenesis, proliferation, estrogen receptor signaling, invasion and metastasis, and immune response, measured after Cycle 2, were associated with pCR in HR+ tumors. Evaluation of changes in molecular subtypes and other signatures early in the course of neoadjuvant treatment may be predictive of pCR and EFS. These factors may help guide further treatment and should be considered when designing neoadjuvant trials.

Imaging Considerations and Interprofessional Opportunities in the Care of Breast Cancer Patients in the Neoadjuvant Setting

OBJECTIVE

To discuss standard-of-care and emerging imaging techniques employed for screening and detection, diagnosis and staging, monitoring response to therapy, and guiding cancer treatments.

DATA SOURCES

Published journal articles indexed in the National Library of Medicine database and relevant websites.

CONCLUSION

Imaging plays a fundamental role in the care of cancer patients and specifically, breast cancer patients in the neoadjuvant setting, providing an excellent opportunity for interprofessional collaboration between oncologists, researchers, radiologists, and oncology nurses. Quantitative imaging strategies to assess cellular, molecular, and vascular characteristics within the tumor is needed to better evaluate initial diagnosis and treatment response.

IMPLICATIONS FOR NURSING PRACTICE

Nurses caring for patients in all settings must continue to seek education on emerging imaging techniques. Oncology nurses provide education about the test, ensure the patient has appropriate pre-testing instructions, and manage patient expectations about timing of results availability.

The Predictive Value of PITX2 DNA Methylation for High-Risk Breast Cancer Therapy: Current Guidelines, Medical Needs, and Challenges

High-risk breast cancer comprises distinct tumor entities such as triple-negative breast cancer (TNBC) which is characterized by lack of estrogen (ER) and progesterone (PR) and the HER2 receptor and breast malignancies which have spread to more than three lymph nodes. For such patients, current (inter)national guidelines recommend anthracycline-based chemotherapy as the standard of care, but not all patients do equally benefit from such a chemotherapy. To further improve therapy decision-making, predictive biomarkers are of high, so far unmet, medical need. In this respect, predictive biomarkers would permit patient selection for a particular kind of chemotherapy and, by this, guide physicians to optimize the treatment plan for each patient individually. Besides DNA mutations, DNA methylation as a patient selection marker has received increasing clinical attention. For instance, significant evidence has accumulated that methylation of the PITX2 (paired-like homeodomain transcription factor 2) gene might serve as a novel predictive and prognostic biomarker, for a variety of cancer diseases. This review highlights the current understanding of treatment modalities of high-risk breast cancer patients with a focus on recommended treatment options, with special attention on the future clinical application of PITX2 as a predictive biomarker to personalize breast cancer management.

Re-inventing drug development: A case study of the I-SPY 2 breast cancer clinical trials program

BACKGROUND

In this case study, we profile the I-SPY 2 TRIAL (Investigation of Serial studies to Predict Your Therapeutic Response with Imaging And molecular anaLysis 2), a unique breast cancer clinical trial led by researchers at 20 leading cancer centers across the US, and examine its potential to serve as a model of drug development for other disease areas. This multicenter collaboration launched in 2010 to reengineer the drug development process to be more efficient and patient-centered.

METHODS

We conduct several interviews with the I-SPY leadership as well as a literature review of relevant publications to assess the I-SPY 2 initiative.

RESULTS

To date, six drugs have graduated from I-SPY 2, identified as excellent candidates for phase 3 trials in their corresponding tumor subtype, and several others have been or are still being evaluated. These trials are also more efficient, typically involving fewer subjects and reaching conclusions more quickly, and candidates have more than twice the predicted likelihood of success in a smaller phase 3 setting compared to traditional trials.

CONCLUSIONS

We observe that I-SPY 2 possesses several novel features that could be used as a template for more efficient and cost effective drug development, namely its adaptive trial design; precompetitive network of stakeholders; and flexible infrastructure to accommodate innovation.

The Differential Contribution of the Innate Immune System to a Good Pathological Response in the Breast and Axillary Lymph Nodes Induced by Neoadjuvant Chemotherapy in Women with Large and Locally Advanced Breast Cancers

The tumour microenvironment consists of malignant cells, stroma, and immune cells. The role of adaptive immunity in inducing a pathological complete response (pCR) in breast cancer with neoadjuvant chemotherapy (NAC) is well studied. The contribution of innate immunity, however, is poorly documented. Breast tumours and axillary lymph nodes (ALNs) from 33 women with large and locally advanced breast cancers (LLABCs) undergoing NAC were immunohistochemically assessed for tumour-infiltrating macrophages (TIMs: M1 and M2), neutrophils (TINs), and dendritic cells (TIDCs) using labelled antibodies and semiquantitative methods. Patients' blood neutrophils (n = 108), DCs (mDC1 and pDC), and their costimulatory molecules (n = 30) were also studied. Pathological results were classified as pCR, good (GPR) or poor (PRR). In breast and metastatic ALNs, high levels of CD163⁺ TIMs were significantly associated with a pCR. In blood, high levels of neutrophils were significantly associated with pCR in metastatic ALNs, whilst the % of mDC1 and pDC and expression of HLA-DR, mDC1 CD40, and CD83 were significantly reduced. NAC significantly reduced tumour DCs but increased blood DCs. PPRs to NAC had significantly reduced HLA-DR, CD40, and CD86 expression. Our study demonstrated novel findings documenting the differential but important contributions of innate immunity to pCRs in patients with LLABCs undergoing NAC.

Adding Adjuvant Systemic Treatment after Neoadjuvant Therapy in Breast Cancer: Review of the Data

PURPOSE OF REVIEW

Residual disease after neoadjuvant chemotherapy is a poor prognostic factor; however, proven strategies to reduce recurrence risk and improve overall survival in this patient population are limited. Previous studies of residual disease have illustrated the importance of tumor intrinsic subtypes in treatment response and mechanisms of resistance. This review summarizes the rationale for various therapeutic approaches as well as completed and ongoing clinical trials for this high-risk group of patients.

RECENT FINDINGS

Regimens utilizing additional chemotherapy and targeted therapies (such as PARP inhibitors or bisphosphonates) have met with limited efficacy. Notably, a recently published randomized study of capecitabine in patients with residual disease demonstrated an improvement in disease-free survival and overall survival. While the results for capecitabine are promising, particularly for patients with triple-negative disease, the generalizability of these findings is an open question. Meanwhile, ongoing trials with novel agents that target specific tumor subtypes and the biology of residual disease may improve outcomes for other patient populations.

Evolution of anti-HER2 therapies for cancer treatment

The development of HER2-directed monoclonal antibodies and tyrosine kinase inhibitors have provided benefits to cancer patients, as well as produced many insights into the biology of the ErbB receptor family. Current therapies based on ErbB family members have resulted in improved overall survival with associated improvements in quality of life for the cancer patients that respond to treatment. Compared to monotherapy using either two antibodies to block the HER2 receptor blockade or combinatorial approaches with HER2 antibodies and standard therapies has provided additional benefits. Despite the therapeutic success of existing HER2 therapies, personalising treatment and overcoming resistance to these therapies remains a significant challenge. The heterogeneous intra-tumoural HER2 expression and lack of fully predictive and prognostic biomarkers remain significant barriers to improving the use of HER2 antibodies. Imaging modalities using radiolabelled pertuzumab and trastuzumab allow quantitative assessment of intra-tumoural HER2 expression, HER2 antibody saturation and the success of different drug delivery systems to be assessed. Molecular imaging with HER2 antibodies has the potential to be a non-invasive, predictive and prognostic technique capable of influencing therapeutic decisions, predicting response and failure of treatments as well as providing insights into receptor recycling and signalling. Similarly, conjugating HER2 antibodies with novel toxic payloads or combining HER2 antibodies with cellular immunotherapy provide exciting new opportunities for the management of tumours overexpressing HER2. Future research will lead to higher therapeutic responses, lower toxicities and providing insight into the mechanisms of resistance to HER2-targeted treatments.

Improved survival for sequentially as opposed to concurrently delivered neoadjuvant chemotherapy in non-metastatic breast cancer

PURPOSE

The INTENS study was designed to determine whether delivering neoadjuvant chemotherapy at a higher dose in a shorter period of time improves outcome of breast cancer patients.

METHODS

Women with newly diagnosed breast cancer were randomly assigned to neoadjuvant chemotherapy consisting of four cycles of doxorubicin and cyclophosphamide followed by four cycles of docetaxel (AC 60/600-T 100 mg/m²) or six cycles of TAC as triplet chemotherapy (75/50/500 mg/m²) every 3 weeks. The primary outcome was the pathologic complete response (pCR), with disease-free and overall survival as secondary endpoints.

RESULTS

In total, 201 patients were included. The pCR rates were 28% for patients treated with AC-T and 19% for patients treated with TAC, with an odds ratio of 1.60 (95% CI 0.90-3.21). With a median follow-up of 6 years (range 0.04-8.41 years), the five-year disease-free survival was 81% for patients treated with sequentially AC-T and 71% for patients treated with concurrent triplet TAC chemotherapy with a stratified hazard ratio (HR) of 0.50 (95% CI 0.29-0.86). Five-year overall survival was 84% versus 76%, respectively, with a stratified HR of 0.55 (95% CI 0.29-1.03).

CONCLUSIONS

No differences were observed between the two treatment arms with respect to pCR rate, but the sequentially delivered chemotherapy outperformed the triplet combination chemotherapy in terms of survival, despite a lower cumulative dose per agent. GOV nr NCT00314977.

From clinical trials to clinical practice: outcome of NSABP-B27 neoadjuvant chemotherapy regimen for high-risk early-stage breast cancer

PURPOSE

Majority of Jordanian breast cancer patients present at a relatively young age and with locally advanced disease highlight the importance of neoadjuvant chemotherapy. This study evaluated the efficacy and safety of NSABP-B27 regimen in high-risk patients in daily clinical practice.

METHODS

Patients' medical records and hospital database were searched for all consecutive patients treated at our institution for breast cancer using neoadjuvant NSABP-B27 chemotherapy regimen. Chemotherapy was given at standard doses and schedule as originally reported in the NSABP-B27.

RESULTS

346 female patients (median age 51 years) were treated using this regimen. Majority had high-risk features including larger tumor size (>4 cm in 68.5%), positive axillary lymph nodes (78.3%), and Grade III disease (47.4%). While most patients tolerated and completed planned chemotherapy, 41 (11.8%) patients failed to complete all four cycles of docetaxel. Following neoadjuvant chemotherapy, complete pathological response (pCR) was achieved in 84 (25.0%) evaluable patients; pCR was higher in hormone receptor-negative disease (40.0 vs. 22.1%, p = 0.002), in patient with tumor size ≤4 cm (28.3 vs. 23.5%, p = 0.024) and in patients with node-negative disease (41.2 vs. 20.7%, p = 0.002). Age (<50 vs. ≥50) had no effect, with pCR of 24.2 and 26.4%, respectively (p = 0.607). Breast-conserving surgery was performed in 85 (24.6%).

CONCLUSIONS

NSABP-B27 is an effective neoadjuvant regimen. Despite including higher risk patients, pCR is similar to the original NSABP-B27 and many other anthracycline-taxane-based regimens. Tumor size, LN status, hormone receptors status, but not age, were significant factors in achieving pCR.

Comparison of residual cancer burden, American Joint Committee on Cancer staging and pathologic complete response in breast cancer after neoadjuvant chemotherapy: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657)

PURPOSE

Several pathologic staging systems characterize residual tumor in patients undergoing neoadjuvant chemotherapy for breast cancer. Pathologic complete response (pCR) is now accepted by the Food and Drug Administration as an endpoint for granting accelerated drug approval. Two other systems of post-neoadjuvant pathologic tumor staging-residual cancer burden (RCB) and the American Joint Committee on Cancer post-neoadjuvant therapy staging system (yAJCC)-have been developed to characterize residual tumors when patients do not achieve pCR. The optimal system and the ways in which these systems complement each other have not been fully determined.

METHODS

Using data from the I-SPY 1 TRIAL, we compared pCR, RCB, and yAJCC as predictors of early recurrence-free survival (RFS) to identify ways to improve post-neoadjuvant pathologic evaluation.

RESULTS

Among 162 patients assessed, pCR identified patients at lowest risk of recurrence, while RCB and yAJCC identified patients at highest risk. Hormone-receptor (HR) and HER2 subtypes further improved risk prediction. Recursive partitioning indicated that triple-negative or HER2+ patients with yAJCC III or RCB 3 have the highest recurrence risk, with an RFS of 27%. Our analysis also highlighted discrepancies between RCB and yAJCC stratification: 31% of patients had discrepant RCB and yAJCC scores. We identified differential treatment of lymph node involvement and tumor cellularity as drivers of these discrepancies.

CONCLUSIONS

These data indicate that there is benefit to reporting both RCB and yAJCC for patients in order to identify those at highest risk of relapse.

Receptor activator of nuclear factor kappa B (RANK) expression in primary breast cancer correlates with recurrence-free survival and development of bone metastases in I-SPY1 (CALGB 150007/150012; ACRIN 6657)

PURPOSE

The receptor activator of nuclear factor kappa B (RANK)/RANK ligand (RANKL)/osteoprotegerin (OPG) axis may contribute to the development of bone metastases (BM). We studied gene expression in this pathway in primary breast cancer (BC) to determine correlations with clinical characteristics and outcomes in the neoadjuvant I-SPY1 study.

METHODS

We evaluated RANK/RANKL/OPG expression using expression microarrays in I-SPY1 (n = 149). Associations with clinical features were determined using t test and ANOVA. Associations between biomarker high versus low groups (dichotomized at an optimal cutpoint) and recurrence-free survival (RFS) were evaluated using the log-rank test and in a multivariate Cox proportional hazard model. A pooled external neoadjuvant cohort with gene expression data (GSE25066) (Hatzis et al. in JAMA 305(18):1873-1881, 30) (n = 425) was used for validation. Associations with site-specific relapse were evaluated using the t-test and multivariate logistic regression adjusting for hormone receptor (HR) status.

RESULTS

RANK was significantly higher in HR negative versus HR positive (p = 0.027), in basal versus non-basal disease (p = 0.004), and in those achieving pathologic complete response (p = 0.038); the associations with HR negative and basal BC were also significant in GSE25066. In both datasets, higher RANK associated with significantly worse RFS (I-SPY1: p = 0.045, GSE25066: p = 0.044). However, this association did not remain significant after adjusting for HR status. In I-SPY1 patients with recurrence, higher RANK correlated with BM versus non-BM (p = 0.045), even after adjusting for HR status (p = 0.035).

CONCLUSIONS

RANK is increased in HR negative and basal BC, and correlates with worse RFS and risk of BM. The RANK pathway is a potential therapeutic target in BC.

Standard Pathologic Features Can Be Used to Identify a Subset of Estrogen Receptor-Positive, HER2 Negative Patients Likely to Benefit from Neoadjuvant Chemotherapy

BACKGROUND

The benefit of neoadjuvant chemotherapy (NAC) in patients with estrogen receptor-positive (ER+)/human epidermal growth factor receptor 2-negative (HER2-) breast cancers and in invasive lobular carcinoma (ILC) is uncertain due to the low rates of pathologic complete response (pCR).

OBJECTIVE

The aim of this study was to determine if pathologic features can identify subsets likely to benefit from NAC.

METHODS

Patients with stage I-III ER+, HER2- breast cancer receiving NAC were retrospectively reviewed. Endpoints were downstaging to breast-conserving surgery (BCS) and nodal pCR after NAC. Patients were grouped by progesterone receptor (PR) status and grade/differentiation (high grade or poor [HP] vs. non-HP).

RESULTS

From 2007 to 2016, 402 ER+/HER2- cancers in patients receiving NAC were identified. Median age was 50 years, 98% were clinical stage II-III, and 75% were cN+. Overall pCR rate was 5%; breast pCR in 7% and nodal pCR in 15% of cN+ patients (p < 0.0001). Patients with ILC initially ineligible for BCS (n = 56) were less likely to downstage than those with invasive ductal carcinoma (IDC; n = 183, 16 vs. 48%, p ≤ 0.0001), with a similar trend in the axilla (p = 0.086). The rates of BCS eligibility after NAC were highest in PR-/HP patients (62%) and lowest in PR+/non-HP patients (29%) [p = 0.005]. In the axilla, nodal pCR among cN+ patients (n = 301) ranged from 0 to 35% (p < 0.0001) within these groups, and was most frequent in PR-/HP patients.

CONCLUSIONS

ER+/HER2- patients most likely to benefit from NAC are those with PR- and HP tumors. Patients with ILC are unlikely to downstage in the breast or axilla compared with IDC. The use of these criteria can assist in defining the initial treatment approach.

The Longitudinal Transcriptional Response to Neoadjuvant Chemotherapy with and without Bevacizumab in Breast Cancer

Purpose: Chemotherapy-induced alterations to gene expression are due to transcriptional reprogramming of tumor cells or subclonal adaptations to treatment. The effect on whole-transcriptome mRNA expression was investigated in a randomized phase II clinical trial to assess the effect of neoadjuvant chemotherapy with the addition of bevacizumab.Experimental Design: Tumor biopsies and whole-transcriptome mRNA profiles were obtained at three fixed time points with 66 patients in each arm. Altogether, 358 specimens from 132 patients were available, representing the transcriptional state before treatment start, at 12 weeks and after treatment (25 weeks). Pathologic complete response (pCR) in breast and axillary nodes was the primary endpoint.Results: pCR was observed in 15 patients (23%) receiving bevacizumab and chemotherapy and 8 patients (12%) receiving only chemotherapy. In the estrogen receptor-positive patients, 11 of 54 (20%) treated with bevacizumab and chemotherapy achieved pCR, while only 3 of 57 (5%) treated with chemotherapy reached pCR. In patients with estrogen receptor-positive tumors treated with combination therapy, an elevated immune activity was associated with good response. Proliferation was reduced after treatment in both treatment arms and most pronounced in the combination therapy arm, where the reduction in proliferation accelerated during treatment. Transcriptional alterations during therapy were subtype specific, and the effect of adding bevacizumab was most evident for luminal-B tumors.Conclusions: Clinical response and gene expression response differed between patients receiving combination therapy and chemotherapy alone. The results may guide identification of patients likely to benefit from antiangiogenic therapy. Clin Cancer Res; 23(16); 4662-70. ©2017 AACR.

Role of Imaging in the Era of Precision Medicine

Precision medicine is an emerging approach for treating medical disorders, which takes into account individual variability in genetic and environmental factors. Preventive or therapeutic interventions can then be directed to those who will benefit most from targeted interventions, thereby maximizing benefits and minimizing costs and complications. Precision medicine is gaining increasing recognition by clinicians, healthcare systems, pharmaceutical companies, patients, and the government. Imaging plays a critical role in precision medicine including screening, early diagnosis, guiding treatment, evaluating response to therapy, and assessing likelihood of disease recurrence. The Association of University Radiologists Radiology Research Alliance Precision Imaging Task Force convened to explore the current and future role of imaging in the era of precision medicine and summarized its finding in this article. We review the increasingly important role of imaging in various oncological and non-oncological disorders. We also highlight the challenges for radiology in the era of precision medicine.

Longitudinal optical monitoring of blood flow in breast tumors during neoadjuvant chemotherapy

We measure tissue blood flow markers in breast tumors during neoadjuvant chemotherapy and investigate their correlation to pathologic complete response in a pilot longitudinal patient study (n  =  4). Tumor blood flow is quantified optically by diffuse correlation spectroscopy (DCS), and tissue optical properties, blood oxygen saturation, and total hemoglobin concentration are derived from concurrent diffuse optical spectroscopic imaging (DOSI). The study represents the first longitudinal DCS measurement of neoadjuvant chemotherapy in humans over the entire course of treatment; it therefore offers a first correlation between DCS flow indices and pathologic complete response. The use of absolute optical properties measured by DOSI facilitates significant improvement of DCS blood flow calculation, which typically assumes optical properties based on literature values. Additionally, the combination of the DCS blood flow index and the tissue oxygen saturation from DOSI permits investigation of tissue oxygen metabolism. Pilot results from four patients suggest that lower blood flow in the lesion-bearing breast is correlated with pathologic complete response. Both absolute lesion blood flow and lesion flow relative to the contralateral breast exhibit potential for characterization of pathological response. This initial demonstration of the combined optical approach for chemotherapy monitoring provides incentive for more comprehensive studies in the future and can help power those investigations.

Systemic, perioperative management of muscle-invasive bladder cancer and future horizons

Many patients diagnosed with muscle-invasive bladder cancer (MIBC) will develop distant metastatic disease. Over the past three decades, perioperative cisplatin-based chemotherapy has been investigated for its ability to reduce the number of deaths from bladder cancer. Insufficient evidence is available to fully support the use of such chemotherapy in the adjuvant setting; however, neoadjuvant cisplatin-based combination chemotherapy has become a standard of care for eligible patients based on the improved disease-specific and overall survival demonstrated in two randomized phase III trials, compared with surgery alone. For patients with disease downstaging to non-MIBC at the time of radical cystectomy as a result of neoadjuvant chemotherapy, outcomes are outstanding, with 5-year overall survival of 80-90%. Nevertheless, the inability to define before treatment the patients who will and those who will not achieve such a response has impeded the achievement of better outcomes for patients with MIBC. High-throughput DNA and RNA profiling technologies might help to overcome this barrier and enable a more-personalized approach to the use of cytotoxic neoadjuvant chemotherapy. In the past 2 years, trial results have demonstrated the unprecedented ability of immune- checkpoint blockade to induce durable remissions in patients with metastatic disease that has progressed after chemotherapy; studies are now urgently needed to determine how best to incorporate this powerful therapeutic modality into the care of patients with MIBC. Herein, we review the evolution of chemotherapy and immunotherapy for muscle-invasive bladder cancer.

Pathologic response after neoadjuvant chemotherapy predicts locoregional control in patients with triple negative breast cancer

Purpose

Our goal was to determine the impact of pathologic response after neoadjuvant chemotherapy in triple negative breast cancer (TNBC) on the subsequent risk of locoregional recurrence (LRR) and disease-free survival (DFS) in the setting of adjuvant radiation therapy.

Methods and materials

This was an institutional review board–approved retrospective chart review of patients with clinical stage I-III breast cancer treated with neoadjuvant chemotherapy, local surgery (breast conservation or mastectomy), and adjuvant radiation therapy between 1997 and 2015. Medical records were reviewed for clinical stage, tumor grade and subtype, neoadjuvant chemotherapy regimen, type of surgery, pathologic stage, use of radiation therapy, date and location of recurrence, and date of death. Molecular subtypes were defined using immunohistochemistry and histologic grade. ypT0 and ypN0 were defined as no residual invasive disease in breast or nodes, respectively. LRR was defined as any failure within the breast, chest wall, or regional lymph nodes. Statistical analysis was performed; LRR and DFS rates over 30 months were determined from Kaplan-Meier plots.

Results

Ninety-four patients with TNBC were analyzed, of whom 72 received radiation therapy. This subgroup was isolated for further investigation. Median follow-up was 32.5 months in this group. The pathologic complete response (pCR) rate was 36%, and presence or absence of disease in breast and/or nodes was significantly predictive of LRR. In TNBC patients who received radiation therapy, 30-month LRR was 22% in 41 patients with ypT+ versus 0% in 31 patients with ypT0 (P = .003), 23% in 31 patients with ypN+ versus 5% in 41 patients with ypN0 (P = .016), and 20% in 46 patients with residual disease in breast or nodes versus 0% in 26 patients with pCR (P = .015). The difference in the rate of LRR between those who underwent lumpectomy versus mastectomy did not reach significance (8% vs 17%, respectively). Furthermore, patients with residual disease had a higher rate of DFS events (hazard ratio, 3.58; 95% confidence interval, 1.37-9.41; P = .006). The difference in DFS was not significantly associated with the type of surgery received.

Conclusions

Patients with TNBC treated with neoadjuvant chemotherapy who have residual disease in the breast or lymph nodes at the time of surgery have significantly higher rates of locoregional failure and lower DFS compared with those with a pCR despite the use of adjuvant radiation therapy. Strategies to intensify therapy for patients with residual disease warrant further investigation.

Efficacy of Neoadjuvant Carboplatin plus Docetaxel in Triple-Negative Breast Cancer: Combined Analysis of Two Cohorts

PURPOSE

Recent studies demonstrate that addition of neoadjuvant (NA) carboplatin to anthracycline/taxane chemotherapy improves pathologic complete response (pCR) in triple-negative breast cancer (TNBC). Effectiveness of anthracycline-free platinum combinations in TNBC is not well known. Here, we report efficacy of NA carboplatin + docetaxel (CbD) in TNBC.

EXPERIMENTAL DESIGN

The study population includes 190 patients with stage I-III TNBC treated uniformly on two independent prospective cohorts. All patients were prescribed NA chemotherapy regimen of carboplatin (AUC 6) + docetaxel (75 mg/m2) given every 21 days × 6 cycles. pCR (no evidence of invasive tumor in the breast and axilla) and residual cancer burden (RCB) were evaluated.

RESULTS

Among 190 patients, median tumor size was 35 mm, 52% were lymph node positive, and 16% had germline BRCA1/2 mutation. The overall pCR and RCB 0 + 1 rates were 55% and 68%, respectively. pCRs in patients with BRCA-associated and wild-type TNBC were 59% and 56%, respectively (P = 0.83). On multivariable analysis, stage III disease was the only factor associated with a lower likelihood of achieving a pCR. Twenty-one percent and 7% of patients, respectively, experienced at least one grade 3 or 4 adverse event.

CONCLUSIONS

The CbD regimen was well tolerated and yielded high pCR rates in both BRCA-associated and wild-type TNBC. These results are comparable with pCR achieved with the addition of carboplatin to anthracycline-taxane chemotherapy. Our study adds to the existing data on the efficacy of platinum agents in TNBC and supports further exploration of the CbD regimen in randomized studies. Clin Cancer Res; 23(3); 649-57. ©2016 AACR.

Neoadjuvant therapy for treatment of breast cancer: the way forward, or simply a convenient option for patients?

The complexity of managing early stage breast cancer is well known. Optimal treatment is increasingly multidisciplinary and in the modern era informed by sophisticated molecular tools to help select and guide therapy. Major phase III trials have determined that the order of systemic therapy relative to surgery does not influence important endpoints such as event free survival and overall survival (OS), but questions remain as to how best to utilize these most essential services. For example, there is still uncertainty regarding the ideal timing, intensity, and duration of proposed therapy. For treating physicians, evidence based standardization of these practices is both possible and critically important. Optimization of care will increasingly rely on well-designed studies that have addressed the choice as well as the timing of the steps involved in multidisciplinary breast cancer treatment. Understanding when factors under the oncologist's control will influence outcome, cost and convenience is essential in the era of quality and value-based medical decision making. The timing of surgery before or after chemotherapy for breast cancer is one such factor. Investigators are to be commended for addressing these questions, which may generate additional hypotheses concerning the biology of metastasis and the nature of recurrence.

Nomogram to predict pathologic complete response in HER2-positive breast cancer treated with neoadjuvant systemic therapy

Background:

Pathologic complete response (pCR) is associated with improved survival outcomes in patients with HER2-positive primary breast cancer. We developed a nomogram to predict the probability of pCR rates by using oestrogen receptor (ER) expression, progesterone receptor (PR) expression and HER2/CEP17 ratio as continuous variables.

Methods:

We retrospectively reviewed patients with stages I–III HER2-positive invasive breast cancer who had definitive surgery in 1999–2015 and received neoadjuvant systemic therapy (NST). Multivariate logistic regression models were applied to assess the effect of variables on pCR. A nomogram was built to estimate the probability of pCR. The discriminative ability was estimated by the concordance index (C-index). The accuracy was assessed graphically with a calibration curve.

Results:

A total of 793 patients were included in the analysis. Low ER expression (P<0.001), high HER2/CEP12 ratio (P=0.03), and non-inflammatory breast cancer subtype (P=0.003) were associated with increased pCR rates. Regimens containing trastuzumab or trastuzumab and pertuzumab were associated with higher pCR rates than cytotoxic agents alone (P<0.001 and P<0.001, respectively). The C-index was 0.69. The calibration curve showed good agreement.

Conclusions:

Our nomogram predicted the pCR rate after NST among patients with HER2-positive primary breast cancer using clinicopathologic factors.

Triple-negative breast cancer: is there a treatment on the horizon?

Triple-negative breast cancer (TNBC), which accounts for 15-20% of all breast cancers, does not express estrogen receptor (ER) or progesterone receptor (PR) and lacks human epidermal growth factor receptor 2 (HER2) overexpression or amplification. These tumors have a more aggressive phenotype and a poorer prognosis due to the high propensity for metastatic progression and absence of specific targeted treatments. Patients with TNBC do not benefit from hormonal or trastuzumab-based targeted therapies because of the loss of target receptors. Although these patients respond to chemotherapeutic agents such as taxanes and anthracyclines better than other subtypes of breast cancer, prognosis remains poor. A group of targeted therapies under investigation showed favorable results in TNBC, especially in cancers with BRCA mutation. The lipid-lowering statins (3-hydroxy-3-methyl-glutaryl coenzyme A reductase inhibitors), including lovastatin and simvastatin, have been shown to preferentially target TNBC compared with non-TNBC. These statins hold great promise for the management of TNBC. Only with the understanding of the molecular basis for the preference of statins for TNBC and more investigations in clinical trials can they be reformulated into a clinically approved drug against TNBC.

Innovations in Clinical Trial Design in the Era of Molecular Profiling

Historically, cancer has been studied, and therapeutic agents have been evaluated based on organ site, clinical staging, and histology. The science of molecular profiling has expanded our knowledge of cancer at the cellular and molecular level such that numerous subtypes are being described based on biomarker expression and genetic mutations rather than traditional classifications of the disease. Drug development has experienced a concomitant revolution in response to this knowledge with many new targeted therapeutic agents becoming available, and this has necessitated an evolution in clinical trial design. The traditional, large phase II and phase III adjuvant trial models need to be replaced with smaller, shorter, and more focused trials. These trials need to be more efficient and adaptive in order to quickly assess the efficacy of new agents and develop new companion diagnostics. We are now seeing a substantial shift from the traditional multiphase trial model to an increase in phase II adjuvant and neoadjuvant trials in earlier-stage disease incorporating surrogate endpoints for long-term survival to assess efficacy of therapeutic agents in shorter time frames. New trial designs have emerged with capabilities to assess more efficiently multiple disease types, multiple molecular subtypes, and multiple agents simultaneously, and regulatory agencies have responded by outlining new pathways for accelerated drug approval that can help bring effective targeted therapeutic agents to the clinic more quickly for patients in need.

Outcome after neoadjuvant chemotherapy in Asian breast cancer patients

We aim to identify clinicopathologic predictors for response to neoadjuvant chemotherapy and to evaluate the prognostic value of pathologic complete response (pCR) on survival in Asia. This study included 915 breast cancer patients who underwent neoadjuvant chemotherapy at five public hospitals in Singapore and Malaysia. pCR following neoadjuvant chemotherapy was defined as 1) no residual invasive tumor cells in the breast (ypT0/is) and 2) no residual invasive tumor cells in the breast and axillary lymph nodes (ypT0/is ypN0). Association between pCR and clinicopathologic characteristics and treatment were evaluated using chi-square test and multivariable logistic regression. Kaplan-Meier analysis and log-rank test, stratified by other prognostic factors, were conducted to compare overall survival between patients who achieved pCR and patients who did not. Overall, 4.4% of nonmetastatic patients received neoadjuvant chemotherapy. The median age of preoperatively treated patients was 50 years. pCR rates were 18.1% (pCR ypT0/is) and 14.4% (pCR ypT0/is ypN0), respectively. pCR rate was the highest among women who had higher grade, smaller size, estrogen receptor negative, human epidermal growth factor receptor 2-positive disease or receiving taxane-based neoadjuvant chemotherapy. Patients who achieved pCR had better overall survival than those who did not. In subgroup analysis, the survival advantage was only significant among women with estrogen receptor-negative tumors. Patients with poor prognostic profile are more likely to achieve pCR and particularly when receiving taxane-containing chemotherapy. pCR is a significant prognostic factor for overall survival especially in estrogen receptor-negative breast cancers.

New discoveries in the molecular landscape of bladder cancer

We are currently on the cusp of exponential growth in the understanding of the molecular landscape of bladder cancer. Emerging data regarding the mutational burden and targetable genomic and protein alterations in bladder cancer have allowed us to tap into treatments directed toward specific molecular characteristics of bladder cancer. In parallel, these developments will enable us to better select patients for existing treatments of bladder cancer in a step toward personalized therapy. The present article reviews select discoveries that have advanced our understanding of bladder cancer and gives a glimpse of the exciting opportunities on the not-so-distant horizon.

Effect of MR Imaging Contrast Thresholds on Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes: A Subgroup Analysis of the ACRIN 6657/I-SPY 1 TRIAL

Functional tumor volume (FTV) measurements by dynamic contrast-enhanced magnetic resonance imaging can predict treatment outcomes for women receiving neoadjuvant chemotherapy for breast cancer. Here, we explore whether the contrast thresholds used to define FTV could be adjusted by breast cancer subtype to improve predictive performance. Absolute FTV and percent change in FTV (ΔFTV) at sequential time-points during treatment were calculated and investigated as predictors of pathologic complete response at surgery. Early percent enhancement threshold (PEt) and signal enhancement ratio threshold (SER_t) were varied. The predictive performance of resulting FTV predictors was evaluated using the area under the receiver operating characteristic curve. A total number of 116 patients were studied both as a full cohort and in the following groups defined by hormone receptor (HR) and HER2 receptor subtype: 45 HR+/HER2−, 39 HER2+, and 30 triple negatives. High AUCs were found at different ranges of PE_t and SER_t levels in different subtypes. Findings from this study suggest that the predictive performance to treatment response by MRI varies by contrast thresholds, and that pathologic complete response prediction may be improved through subtype-specific contrast enhancement thresholds. A validation study is underway with a larger patient population.

Combination of shear wave elastography and Ki-67 index as a novel predictive modality for the pathological response to neoadjuvant chemotherapy in patients with invasive breast cancer

PURPOSE

This study evaluated shear wave elastography (SWE) and SWE combined with the Ki-67 index as novel predictive modalities for the pathological response of invasive breast cancer to neoadjuvant chemotherapy (NAC).

METHODS

The prospective study recruited 66 eligible patients from July 2014 to November 2015. Tumour stiffness, which corresponds with tumour progression and invasiveness, was assessed by quantitative SWE 1 d before biopsy (time point t0, elasticity E0), 1 d before next NAC cycle (t1-t5, E1-E5), and 1 d before surgery (t6, E6). The relative changes in SWE parameters after the first and second NAC cycles were considered as the variables [ΔE (t1), ΔE (t2)]. The pathological response was classified according to the residual cancer burden (RCB) protocol. Correlations between RCB scores and variables were evaluated. The predictive diagnostic performances of SWE parameters, Ki-67 index, and the predictive RCB (predRCB) score determined by a linear regression model were compared.

RESULTS

Some immunohistochemical and molecular factors and SWE parameters were significantly different among the three RCB groups. The ΔE_mean (t2) and Ki-67 had significantly better diagnostic performance than other parameters regarding predicting the pathological response (the RCB-I response and RCB-III resistance). However, the correlation between ΔE_mean (t2) and Ki-67 index was significantly weaker as a diagnostic predictor (r = 0.29). We generated a new predictive modality, predRCB, which is a multivariable linear regression model that combines ΔE_mean (t2) and the Ki-67 index. The predRCB modality showed better diagnostic performance than SWE parameters and Ki-67 index alone.

CONCLUSION

Our findings highlight the potential utility for adding the Ki-67 index to the SWE results, which may improve the predictive power of SWE and facilitate personalising the treatment regimens of patients with breast cancer. These results should be validated in the future by performing a multicentre prospective study with a larger cohort.

Exosomes-mediate microRNAs transfer in breast cancer chemoresistance regulation

Breast cancer is the most common and fatal type of cancer in women worldwide due to the metastatic process and resistance to treatment. Despite advances in molecular knowledge, little is known regarding resistance to chemotherapy. One highlighted aspect is the DNA damage response (DDR) pathway that is activated upon genotoxic damage, controlling the cell cycle arrest or DNA repair activation. Recently, studies have showed that cancer stem cells (CSCs) could promote chemoresistance through DDR pathway. Furthermore, it is known that the epithelial-mesenchymal transition (EMT) can generate cells with CSCs characteristics and therefore regulate the chemoresistance process. The exosomes are microvesicles filled with RNAs, proteins and microRNAs (miRNAs) that can be released by many cell types, including tumor cells and CSCs. The exosomes content may be cell-to-cell transferable and it could control a wide range of pathways during tumor development and metastasis. A big challenge for modern medicine is to determine the reasons why patients do not respond to chemotherapy treatments and also guide the most appropriate therapy for each one. Considering that the CSCs are able to stimulate the formation of a more aggressive tumor phenotype with migration and metastasis ability, resistance to treatment and disease recurrence, as well as few studies capable to determine clearly the interaction of breast CSCs with its microenvironment, the present review summarize the possibility that exosomes-mediate miRNAs transfer and regulate chemoresistance in breast tumor cells and CSCs, to clarify the complexity of breast cancer progression and therapy.

Immediate Reconstruction in Inflammatory Breast Cancer: Challenging Current Care

BACKGROUND

Inflammatory breast cancer (IBC) is an aggressive disease that is treated with trimodality therapy consisting of neoadjuvant chemotherapy, surgery, and post-mastectomy radiation therapy (PMRT). Traditionally, modified radical mastectomy without reconstruction has been the operation of choice for patients with IBC due to fears of high rates of margin positivity, risk of local recurrence, and the need for PMRT.

METHODS

A retrospective review was performed to evaluate women with IBC at our institution from 2006 to 2014 who completed trimodality therapy. Patients were identified as undergoing reconstruction or no reconstruction (NR), with reconstruction being further classified as immediate (IR) if reconstruction occurred at the initial surgery, or delayed (DR) if initial reconstruction occurred after PMRT.

RESULTS

Sixty women with IBC were identified using inclusion criteria. The median follow-up was 2.3 years (range 1.4-4.6). Patients with IR had a statistically significant increased risk (p = 0.006) in postoperative complication rates compared with DR (0 %) and NR (2.6 %). Two patients had positive skin margins on final pathology (one IR, one NR), with both eventually having recurrence. Time to PMRT was delayed 10 days in patients with IR compared with those without IR. No statistically significant difference in recurrence rates was observed (p = 0.86) when comparing patients with IR and those with NR, and no difference in survival was observed between patients who had reconstruction and those without (p = 0.91).

CONCLUSION

Performing IR with mastectomy for IBC is associated with increased complications, but is not associated with decreased survival or increased recurrence in selected patients. IR in selected IBC patients can facilitate successful breast reconstruction.

A Bayesian comparative effectiveness trial in action: developing a platform for multisite study adaptive randomization

Background

In the last few decades, the number of trials using Bayesian methods has grown rapidly. Publications prior to 1990 included only three clinical trials that used Bayesian methods, but that number quickly jumped to 19 in the 1990s and to 99 from 2000 to 2012. While this literature provides many examples of Bayesian Adaptive Designs (BAD), none of the papers that are available walks the reader through the detailed process of conducting a BAD. This paper fills that gap by describing the BAD process used for one comparative effectiveness trial (Patient Assisted Intervention for Neuropathy: Comparison of Treatment in Real Life Situations) that can be generalized for use by others. A BAD was chosen with efficiency in mind. Response-adaptive randomization allows the potential for substantially smaller sample sizes, and can provide faster conclusions about which treatment or treatments are most effective. An Internet-based electronic data capture tool, which features a randomization module, facilitated data capture across study sites and an in-house computation software program was developed to implement the response-adaptive randomization.

Results

A process for adapting randomization with minimal interruption to study sites was developed. A new randomization table can be generated quickly and can be seamlessly integrated in the data capture tool with minimal interruption to study sites.

Conclusion

This manuscript is the first to detail the technical process used to evaluate a multisite comparative effectiveness trial using adaptive randomization. An important opportunity for the application of Bayesian trials is in comparative effectiveness trials. The specific case study presented in this paper can be used as a model for conducting future clinical trials using a combination of statistical software and a web-based application.

Trial registration

ClinicalTrials.gov Identifier: NCT02260388, registered on 6 October 2014

Adaptive Randomization of Neratinib in Early Breast Cancer

BACKGROUND

The heterogeneity of breast cancer makes identifying effective therapies challenging. The I-SPY 2 trial, a multicenter, adaptive phase 2 trial of neoadjuvant therapy for high-risk clinical stage II or III breast cancer, evaluated multiple new agents added to standard chemotherapy to assess the effects on rates of pathological complete response (i.e., absence of residual cancer in the breast or lymph nodes at the time of surgery).

METHODS

We used adaptive randomization to compare standard neoadjuvant chemotherapy plus the tyrosine kinase inhibitor neratinib with control. Eligible women were categorized according to eight biomarker subtypes on the basis of human epidermal growth factor receptor 2 (HER2) status, hormone-receptor status, and risk according to a 70-gene profile. Neratinib was evaluated against control with regard to 10 biomarker signatures (prospectively defined combinations of subtypes). The primary end point was pathological complete response. Volume changes on serial magnetic resonance imaging were used to assess the likelihood of such a response in each patient. Adaptive assignment to experimental groups within each disease subtype was based on Bayesian probabilities of the superiority of the treatment over control. Enrollment in the experimental group was stopped when the 85% Bayesian predictive probability of success in a confirmatory phase 3 trial of neoadjuvant therapy reached a prespecified threshold for any biomarker signature ("graduation"). Enrollment was stopped for futility if the probability fell to below 10% for every biomarker signature.

RESULTS

Neratinib reached the prespecified efficacy threshold with regard to the HER2-positive, hormone-receptor-negative signature. Among patients with HER2-positive, hormone-receptor-negative cancer, the mean estimated rate of pathological complete response was 56% (95% Bayesian probability interval [PI], 37 to 73%) among 115 patients in the neratinib group, as compared with 33% among 78 controls (95% PI, 11 to 54%). The final predictive probability of success in phase 3 testing was 79%.

CONCLUSIONS

Neratinib added to standard therapy was highly likely to result in higher rates of pathological complete response than standard chemotherapy with trastuzumab among patients with HER2-positive, hormone-receptor-negative breast cancer. (Funded by QuantumLeap Healthcare Collaborative and others; I-SPY 2 TRIAL ClinicalTrials.gov number, NCT01042379.).

Genomic Impact of Neoadjuvant Therapy on Breast Cancer: Incomplete Response is Associated with Altered Diagnostic Gene Signatures

PURPOSE

Neoadjuvant therapy (NAT) has been shown to clinically downstage locally advanced breast cancers. This study aimed to determine whether a meaningful change in gene signatures occurs between pre- and post-NAT breast cancers for patients who do not achieve a pathologic complete response.

METHODS

The current analysis included women from the prospective Neoadjuvant Breast Registry Symphony Trial who had breast cancer and awaited NAT. MammaPrint and BluePrint (Agendia, Inc., Irvine, CA) assays were performed on pre- and post-NAT breast tumor samples.

RESULTS

At the completion of NAT, 93 patients with residual disease had their remaining tumor analyzed for MammaPrint and BluePrint. Of 93 patients, 21 switched tumor classification: 16 from high risk (HR) to low risk (LR) and 1 from LR to HR (p < 0.001). Four additional patients switched molecular subtype but remained HR. Although only 17 patients switched in their MammaPrint risk classification, the underlying MPIndex was significantly altered after treatment across all patients (p < 0.001). Additionally, the three BluePrint indices for luminal, human epidermal growth factor receptor 2 (HER2), and basal type also were significantly altered after treatment, in a subtype-dependent manner.

CONCLUSION

This substudy showed that NAT significantly altered the genomic signature of the patient's breast cancer compared with the patient's pretreatment genomic profile. These alterations occurred in a subtype-dependent manner, suggesting that NAT may have either eliminated the most susceptible tumor subclone, leaving the treatment resistant clone with a different genetic signature, or altered molecular characteristics of the original cancer.

Obesity is an independent prognostic factor of decreased pathological complete response to neoadjuvant chemotherapy in breast cancer patients

PURPOSE

The relation between higher body mass index (BMI) and pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer (BC) is a controversial issue according to the data of Western and Asian patients. The aim of this study is to evaluate BMI and pCR to NAC and discuss the importance of pCR outcomes in Turkish BC patients as a bridging country between Europe and Asia.

PATIENTS AND METHODS

Of the 4423 BC patients diagnosed between the years 1994 and 2015 in Hacettepe University Cancer Institute, 295 female patients with stage II and III BC were enrolled in the study. Three different group divisions were done according to patients' BMI as normal or underweight (N/U) patients (BMI <25 kg/m²), overweight (OW) patients (BMI = 25-29.9 kg/m²) and obese (OB) patients (BMI ≥30 kg/m²). BC subtypes were defined as luminal-like (ER/PR-positive and HER2-negative), HER2/luminal (ER/PR-positive and HER2-positive), HER2-type (ER/PR-negative and HER2-positive), and triple-negative (TNBC; ER/PR- and HER2-negative). The analysis of overall survival (OS) and recurrence-free survival (RFS) was performed according to Kaplan-Meier method. The Log-rank test was used to compare the subgroup analysis and logistic regression analysis to determine the independent prognostic factors.

RESULTS

In this study, a total number of 93 (31.5%) patients were N/U, 107 (36.3%) patients were OW and 95 (32.2%) patients were OB. Among groups, except for the age, no baseline clinicopathological differences were found. In 70 (23.7%) patients, pCR was achieved. pCR rates in N/U, OW and OB were 31.2%, 22.4%, and 17.9% respectively, showing a considerable trend towards significance (P = 0.09 in chi-square test). In the multivariate logistic regression analysis, obesity was an independent adverse prognostic feature on pCR to NAC compared to N/U patients (OR, 0.34; 95% CI, 0.13 to 0.85, P = 0.02). The recurrence rates were slightly increased with the increase of BMI (N/U = 24.7%, OW = 29.0% and OB = 40%; P = 0.06 respectively). Median RFS was significantly higher in N/U group compared to OB patients (150 vs. 76 months respectively, P = 0.03) and was also higher in pCR group compared to non-pCR patients (151 vs. 77 months P = 0.004). Median OS was significantly higher in N/U patients compared to OB patients (N/U = not reached, OW = 211 and OB = 114 months; P = 0.01) and was also higher in pCR group compared to non-pCR patients (not reached vs. 211 months P = 0.04). In Cox regression analysis; pCR, histopathological grade and TNBC were found as independent prognostic factors on OS (HR, 0.29; 95% CI, 0.11 to 0.79, P = 0.015, HR, 2.09; 95% CI, 1.14 to 3.83, P = 0.017, HR, 1.95; 95% CI, 1.01 to 3.77, P = 0.046, respectively).

CONCLUSION

It was observed that obesity was an important independent prognostic factor which has an adverse effect on pCR. Moreover it causes decreasing RFS and OS in BC patients who had received NAC. The probability of inefficient treatment in obese patients should be considered.

Mathematical models of breast and ovarian cancers

Women constitute the majority of the aging United States (US) population, and this has substantial implications on cancer population patterns and management practices. Breast cancer is the most common women's malignancy, while ovarian cancer is the most fatal gynecological malignancy in the US. In this review, we focus on these subsets of women's cancers, seen more commonly in postmenopausal and elderly women. In order to systematically investigate the complexity of cancer progression and response to treatment in breast and ovarian malignancies, we assert that integrated mathematical modeling frameworks viewed from a systems biology perspective are needed. Such integrated frameworks could offer innovative contributions to the clinical women's cancers community, as answers to clinical questions cannot always be reached with contemporary clinical and experimental tools. Here, we recapitulate clinically known data regarding the progression and treatment of the breast and ovarian cancers. We compare and contrast the two malignancies whenever possible in order to emphasize areas where substantial contributions could be made by clinically inspired and validated mathematical modeling. We show how current paradigms in the mathematical oncology community focusing on the two malignancies do not make comprehensive use of, nor substantially reflect existing clinical data, and we highlight the modeling areas in most critical need of clinical data integration. We emphasize that the primary goal of any mathematical study of women's cancers should be to address clinically relevant questions. WIREs Syst Biol Med 2016, 8:337-362. doi: 10.1002/wsbm.1343 For further resources related to this article, please visit the WIREs website.

New generation of breast cancer clinical trials implementing molecular profiling

The implementation of molecular profiling technologies in oncology deepens our knowledge for the molecular landscapes of cancer diagnoses, identifying aberrations that could be linked with specific therapeutic vulnerabilities. In particular, there is an increasing list of molecularly targeted anticancer agents undergoing clinical development that aim to block specific molecular aberrations. This leads to a paradigm shift, with an increasing list of specific aberrations dictating the treatment of patients with cancer. This paradigm shift impacts the field of clinical trials, since the classical approach of having clinico-pathological disease characteristics dictating the patients' enrolment in oncology trials shifts towards the implementation of molecular profiling as pre-screening step. In order to facilitate the successful clinical development of these new anticancer drugs within specific molecular niches of cancer diagnoses, there have been developed new, innovative trial designs that could be classified as follows: i) longitudinal cohort studies that implement (or not) "nested" downstream trials, 2) studies that assess the clinical utility of molecular profiling, 3) "master" protocol trials, iv) "basket" trials, v) trials following an adaptive design. In the present article, we review these innovative study designs, providing representative examples from each category and we discuss the challenges that still need to be addressed in this era of new generation oncology trials implementing molecular profiling. Emphasis is put on the field of breast cancer clinical trials.

Neoadjuvant Model for Testing Emerging Targeted Therapies in Breast Cancer

Neoadjuvant trials provide endpoints, such as pathological complete response (pCR) to treatment, that will potentially translate into meaningful improvements in overall survival and disease-free survival. Neoadjuvant trials need smaller sample sizes and are less expensive, and the endpoint of pCR is achieved in months, rather than years. For these reasons, the neoadjuvant setting is ideal for testing emerging targeted therapies in early breast cancer. Recently the US Food and Drug Administration has released a draft Guidance to Industry, outlining a pathway to accelerated approval for neoadjuvant breast cancer therapies using pCR. The association between pCR and outcome is clear for chemotherapy in triple-negative breast cancer and for HER2-targeted agents in HER2-positive disease, but might not hold true for other tumor subtypes such as luminal cancers. Since pCR is rarely achieved with either chemotherapy or endocrine therapy in hormone-receptor-positive breast cancer, in this setting we need to identify different intermediate endpoints, which might be translational endpoints within "window-of-opportunity," "residual disease," and "genome forward" trials. Prospective validation of effective noninvasive techniques for monitoring of residual disease burden could enhance the ability to identify promising targeted therapies in the neoadjuvant setting.

RECIST for Response (Clinical and Imaging) in Neoadjuvant Clinical Trials in Operable Breast Cancer

Although approximately 70% of breast cancer patients demonstrate a clinical response on neoadjuvant systemic therapy on physical examination or on anatomic radiographic imaging, only 3%-40% achieve a pathologic complete response (pCR). Magnetic resonance imaging (MRI) is superior to physical examination, ultrasound, and mammography in response evaluation during neoadjuvant systemic therapy. The accuracy of breast MRI to predict pCR has a moderate sensitivity, but high specificity. The accuracy of anatomic imaging to assess residual disease and predict pCR depended on anatomic radiographic imaging cancer subtypes. Response monitoring using breast is accurate in triple-negative or HER2-positive tumors. It was inaccurate in estrogen receptor-positive/HER2-negative subtype. Another approach currently under investigation is dynamic contrast-enhanced MRI and diffusion weighted-imaging, (18)F-fluorodeoxyglucose positron emission tomography, fluorodeoxyglucose positron emission tomography/computed tomography.

Pathologic response to preoperative transarterial chemoembolization for resectable hepatocellular carcinoma may not predict recurrence after liver resection

BACKGROUND

Pathologic response (PR) predicts survival after preoperative chemotherapy and resection of a malignancy. Occasionally, transarterial chemoembolization (TACE) may be selected for preoperative management of resectable hepatocellular carcinoma (HCC). This study investigated whether PR to preoperative TACE can predict recurrence after resection for resectable HCC.

METHODS

We conducted analysis of 106 HCC patients who underwent TACE followed by liver resection with a curative intent. The PR was evaluated as the mean percentage of non-viable tumor area within each tumor. We divided the patients into three groups according to response rate: complete PR (CPR), major response (MJR: PR≥50%) and minor response (MNR: PR<50%). The primary endpoint was disease-free survival, and the secondary endpoints were predicting factors for tumor recurrence and MJR+CPR.

RESULTS

Among the 121 TACE patients, PR could be measured in 106 (87.6%). The mean interval between TACE and liver resection was 33.1 days. The 5-year disease-free survival rates by PR status were as follows: 40.6% CPR, 43.7% MJR, and 49.0% MNR (P=0.815). There were also no significant differences in overall survival between the three groups. Multivariate analyses revealed that microvascular invasion and capsular invasion (hazard ratio [HR]=11.224, P=0.002 and HR=2.220, P=0.043) were independent predictors of disease-free survival. Multivariate analysis of the predictors of above 50% PR revealed that only hepatitis B was an independent factor.

CONCLUSION

These data could reflect that the PR after TACE for resectable HCC may not be useful for predicting recurrence of HCC after resection.

Clinical Trials of Precision Medicine through Molecular Profiling: Focus on Breast Cancer

High-throughput technologies of molecular profiling in cancer, such as gene-expression profiling and next-generation sequencing, are expanding our knowledge of the molecular landscapes of several cancer types. This increasing knowledge coupled with the development of several molecularly targeted agents hold the promise for personalized cancer medicine to be fully realized. Moreover, an expanding armamentarium of targeted agents has been approved for the treatment of specific molecular cancer subgroups in different diagnoses. According to this paradigm, treatment selection should be dictated by the specific molecular aberrations found in each patient's tumor. The classical clinical trials paradigm of patients' eligibility being based on clinicopathologic parameters is being abandoned, with current clinical trials enrolling patients on the basis of specific molecular aberrations. New, innovative trial designs have been generated to better tackle the multiple challenges induced by the increasing molecular fragmentation of cancer, namely: (1) longitudinal cohort studies with or without downstream trials, (2) studies assessing the clinical utility of molecular profiling, (3) master or umbrella trials, (4) basket trials, (5) N-of-1 trials, and (6) adaptive design trials. This article provides an overview of the challenges for clinical trials in the era of molecular profiling of cancer. Subsequently, innovative trial designs with respective examples and their potential to expedite efficient clinical development of targeted anticancer agents is discussed.

Locoregional Recurrence by Tumor Biology in Breast Cancer Patients after Preoperative Chemotherapy and Breast Conservation Treatment

PURPOSE

The purpose of this study is to determine whether breast cancer subtype can affect locoregional recurrence (LRR) and ipsilateral breast tumor recurrence (IBTR) after neoadjuvant chemotherapy (NAC) and breast-conserving therapy (BCT).

MATERIALS AND METHODS

We evaluated 335 consecutive patients with clinical stage II-III breast cancer who received NAC plus BCT from 2002 to 2009. Patients were classified according to six molecular subtypes: luminal A (hormone receptor [HR]+/HER2-/Ki-67 < 15%, n=113), luminal B1 (HR+/HER2-/Ki-67 ≥ 15%, n=33), luminal B2 (HR+/HER2+, n=83), HER2 with trastuzumab (HER2[T+]) (HR-/HER2+/use of trastuzumab, n=14), HER2 without trastuzumab (HER2[T-]) (HR-/HER2+, n=31), and triple negative (TN) (HR-/HER2-, n=61).

RESULTS

After a median follow-up period of 7.2 years, 26 IBTRs and 37 LRRs occurred. The 5-year LRR-free survival rates were luminal A, 96.4%; B1, 93.9%; B2, 90.3%; HER2(T+), 92.9%; HER2(T-), 78.3%; and TN, 79.6%. The 5-year IBTR-free survival rates were luminal A, 97.2%; B1, 93.9%; B2, 92.8%; HER2(T+), 92.9%; HER2(T-), 89.1%; and TN, 84.6%. In multivariate analysis, HER2(T-) (IBTR: hazard ratio, 4.2; p=0.04 and LRR: hazard ratio, 7.6; p < 0.01) and TN subtypes (IBTR: hazard ratio, 6.9; p=0.01 and LRR: hazard ratio, 8.1; p < 0.01) were associated with higher IBTR and LRR rates. A pathologic complete response (pCR) was found to show correlation with better LRR and a tendency toward improved IBTR controls in TN patients (IBTR, p=0.07; LRR, p=0.03).

CONCLUSION

The TN and HER2(T-) subtypes predict higher rates of IBTR and LRR after NAC and BCT. A pCR is predictive of improved IBTR or LRR in TN subtype.

Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes

The purpose of this study is to evaluate the predictive performance of magnetic resonance imaging (MRI) markers in breast cancer patients by subtype. Sixty-four patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy were enrolled in this study. Each patient received a dynamic contrast-enhanced (DCE-MRI) at baseline, after 1 cycle of chemotherapy and before surgery. Functional tumor volume (FTV), the imaging marker measured by DCE-MRI, was computed at various thresholds of percent enhancement (PE_t) and signal-enhancement ratio (SER_t). Final FTV before surgery and percent changes of FTVs at the early and final treatment time points were used to predict patients’ recurrence-free survival. The full cohort and each subtype defined by the status of hormone receptor and human epidermal growth factor receptor 2 (HR+/HER2-, HER2+, triple negative) were analyzed. Predictions were evaluated using the Cox proportional hazard model when PE_t changed from 30% to 200% in steps of 10% and SER_t changed from 0 to 2 in steps of 0.2. Predictions with high hazard ratios and low p-values were considered as strong. Different profiles of FTV as predictors for recurrence-free survival were observed in each breast cancer subtype and strong associations with survival were observed at different PE_t/SER_t combinations that resulted in different FTVs. Findings from this retrospective study suggest that the predictive performance of imaging markers based on FTV may be improved with enhancement thresholds being optimized separately for clinically-relevant subtypes defined by HR and HER2 receptor expression.