ABSTRACT
INTRODUCTION: Children, adolescent, and young adult cancer survivors experience overall increased risks of infertility that are preventable through effective fertility preservation services prior to starting cancer treatment. Oncofertility care is the evidence-based practice of informing newly diagnosed cancer patients about their reproductive risks and supporting shared decision-making on fertility preservation services. Despite longstanding clinical guidelines, oncofertility care delivery continues to be limited and highly variable across adult and pediatric oncology settings. MATERIALS AND METHODS: We describe the design of a stepped wedge cluster randomized clinical trial to evaluate the effectiveness of the multi-component Telehealth Oncofertility Care (TOC) intervention conducted in 20 adult and pediatric oncology clinics across three health systems in Southern California. Intervention components are: 1) electronic health record-based oncofertility needs screen and referral pathway to a virtual oncofertility hub; 2) telehealth oncofertility counseling through the hub; and 3) telehealth oncofertility financial navigation through the hub. We hypothesize the intervention condition will be associated with increased proportions of patients who engage in goal-concordant oncofertility care (i.e., engagement in reproductive risk counseling and fertility preservation services that meet the patient's fertility goals) and improved patient-reported outcomes, compared to the usual care control condition. We will also evaluate intervention implementation in a mixed-methods study guided by implementation science frameworks. DISCUSSION: Our overall goal is to speed implementation of a scalable oncofertility care intervention at cancer diagnosis for children, adolescent and young adult cancer patients to improve their future fertility and quality of life. TRIAL REGISTRATION: Clinicaltrials.gov Identifier: NCT05443737.
Subject(s)
Cancer Survivors , Fertility Preservation , Telemedicine , Adolescent , Adult , Child , Female , Humans , Male , Young Adult , Counseling/methods , Fertility Preservation/methods , Neoplasms/therapyABSTRACT
Importance: Timely tests are warranted to assess the association between generative artificial intelligence (GenAI) use and physicians' work efforts. Objective: To investigate the association between GenAI-drafted replies for patient messages and physician time spent on answering messages and the length of replies. Design, Setting, and Participants: Randomized waiting list quality improvement (QI) study from June to August 2023 in an academic health system. Primary care physicians were randomized to an immediate activation group and a delayed activation group. Data were analyzed from August to November 2023. Exposure: Access to GenAI-drafted replies for patient messages. Main Outcomes and Measures: Time spent (1) reading messages, (2) replying to messages, (3) length of replies, and (4) physician likelihood to recommend GenAI drafts. The a priori hypothesis was that GenAI drafts would be associated with less physician time spent reading and replying to messages. A mixed-effects model was used. Results: Fifty-two physicians participated in this QI study, with 25 randomized to the immediate activation group and 27 randomized to the delayed activation group. A contemporary control group included 70 physicians. There were 18 female participants (72.0%) in the immediate group and 17 female participants (63.0%) in the delayed group; the median age range was 35-44 years in the immediate group and 45-54 years in the delayed group. The median (IQR) time spent reading messages in the immediate group was 26 (11-69) seconds at baseline, 31 (15-70) seconds 3 weeks after entry to the intervention, and 31 (14-70) seconds 6 weeks after entry. The delayed group's median (IQR) read time was 25 (10-67) seconds at baseline, 29 (11-77) seconds during the 3-week waiting period, and 32 (15-72) seconds 3 weeks after entry to the intervention. The contemporary control group's median (IQR) read times were 21 (9-54), 22 (9-63), and 23 (9-60) seconds in corresponding periods. The estimated association of GenAI was a 21.8% increase in read time (95% CI, 5.2% to 41.0%; P = .008), a -5.9% change in reply time (95% CI, -16.6% to 6.2%; P = .33), and a 17.9% increase in reply length (95% CI, 10.1% to 26.2%; P < .001). Participants recognized GenAI's value and suggested areas for improvement. Conclusions and Relevance: In this QI study, GenAI-drafted replies were associated with significantly increased read time, no change in reply time, significantly increased reply length, and some perceived benefits. Rigorous empirical tests are necessary to further examine GenAI's performance. Future studies should examine patient experience and compare multiple GenAIs, including those with medical training.
Subject(s)
Artificial Intelligence , Physicians , Adult , Female , Humans , Communication , Electronics , Medical Records Systems, Computerized , Male , Middle AgedABSTRACT
BACKGROUND: Zilovertamab is a humanized monoclonal antibody targeting ROR1, an onco-embryonic antigen expressed by malignant cells of a variety of solid tumors, including breast cancer. A prior phase 1 study showed that zilovertamab was well tolerated and effective in inhibiting ROR1-signaling, which leads to activation of ERK1/2, NF-κB, and NRF2 target genes. This phase 1b study evaluated the safety and tolerability of zilovertamab with paclitaxel in patients with advanced breast cancer. PATIENTS AND METHODS: Eligible patients had locally advanced, unresectable, or metastatic HER2- breast cancer with Eastern Cooperative Group performance status of 0-2 and without prior taxane therapy in the advanced setting. Study treatment included 600 mg of zilovertamab administered intravenously (IV) on Days 1 and 15 of Cycle 1 and then Day 1 of each 28-day cycle along with paclitaxel weekly at 80 mg/m2 IV. RESULTS: Study patients had received a median of 4 prior therapies (endocrine therapy + chemotherapy) for locally advanced, unresectable, or metastatic disease. No patient discontinued therapy due to toxicity ascribed to zilovertamab. Adverse events were consistent with the known safety profile of paclitaxel. Of 16 patients, 6 (38%) had a partial response, and 6/16 (38%) patients had stable disease as best tumor response. CONCLUSION: The combination of zilovertamab and paclitaxel was safe and well tolerated in heavily pre-treated advanced breast cancer patients. Further evaluation of ROR1 targeting in breast cancer patients with zilovertamab is warranted. TRIAL REGISTRATION: NCT02776917. Registered on ClinicalTrials.gov on 05/17/2016.
Subject(s)
Breast Neoplasms , Humans , Female , Breast Neoplasms/drug therapy , Breast Neoplasms/genetics , Breast Neoplasms/pathology , Paclitaxel/therapeutic use , Receptor, ErbB-2/genetics , Antibodies, Monoclonal, Humanized , Antineoplastic Combined Chemotherapy Protocols/adverse effectsABSTRACT
OBJECTIVE: Physicians of all specialties experienced unprecedented stressors during the COVID-19 pandemic, exacerbating preexisting burnout. We examine burnout's association with perceived and actionable electronic health record (EHR) workload factors and personal, professional, and organizational characteristics with the goal of identifying levers that can be targeted to address burnout. MATERIALS AND METHODS: Survey of physicians of all specialties in an academic health center, using a standard measure of burnout, self-reported EHR work stress, and EHR-based work assessed by the number of messages regarding prescription reauthorization and use of a staff pool to triage messages. Descriptive and multivariable regression analyses examined the relationship among burnout, perceived EHR work stress, and actionable EHR work factors. RESULTS: Of 1038 eligible physicians, 627 responded (60% response rate), 49.8% reported burnout symptoms. Logistic regression analysis suggests that higher odds of burnout are associated with physicians feeling higher level of EHR stress (odds ratio [OR], 1.15; 95% confidence interval [CI], 1.07-1.25), having more prescription reauthorization messages (OR, 1.23; 95% CI, 1.04-1.47), not feeling valued (OR, 3.38; 95% CI, 1.69-7.22) or aligned in values with clinic leaders (OR, 2.81; 95% CI, 1.87-4.27), in medical practice for ≤15 years (OR, 2.57; 95% CI, 1.63-4.12), and sleeping for <6 h/night (OR, 1.73; 95% CI, 1.12-2.67). DISCUSSION: Perceived EHR stress and prescription reauthorization messages are significantly associated with burnout, as are non-EHR factors such as not feeling valued or aligned in values with clinic leaders. Younger physicians need more support. CONCLUSION: A multipronged approach targeting actionable levers and supporting young physicians is needed to implement sustainable improvements in physician well-being.
Subject(s)
Burnout, Professional , COVID-19 , Occupational Stress , Physicians , Humans , Electronic Health Records , Pandemics , Burnout, Professional/epidemiologyABSTRACT
Purpose: Oncofertility counseling of female cancer patients lacks efficient access to tailored and valid infertility risk estimates to support shared decision-making on fertility preservation treatments. The objective was to develop, conduct user-centered design, and plan clinic-based implementation of the Cancer Related Infertility Score Predictor (CRISP), a web-based tool to support infertility risk counseling. Methods: Using a mixed methods design, literature review was undertaken to abstract data on infertility, primary ovarian insufficiency, and amenorrhea risks of common cancer treatments. The CRISP website was programmed to take user input about patient ages and cancer treatments and generate a risk summary. Using user experience methodology and semistructured interviews, usability testing and implementation assessment were conducted with 12 providers recruited from 5 medical centers in Southern California. Results: The web-based CRISP tool encompasses infertility risk data for 60 treatment regimens among 10 cancer types. Usability testing demonstrated that the tool is intuitive and informed minor modifications, including adding crowd-sourced submission of additional cancer treatments. Participants rated the tool as credible, advantageous over current provider methods to ascertain infertility risks, and useful for tailoring treatment planning and counseling patients. A key barrier was lack of information on some cancer treatments. Fit within clinical workflow was feasible, particularly with electronic health record integration. Conclusions: The novel, web-based CRISP tool is a feasible, acceptable, and appropriate tool to address provider knowledge gap about cancer related infertility risks and use for patient counseling. CRISP has significant potential to support tailored oncofertility counseling in the heterogeneous young cancer patient population.
Subject(s)
Fertility Preservation , Infertility , Neoplasms , Humans , Female , User-Centered Design , User-Computer Interface , Counseling , Fertility Preservation/methods , Infertility/etiology , Infertility/prevention & control , Neoplasms/psychologyABSTRACT
Purpose: Oncofertility care for pediatric, adolescent, and young adult cancer patients remains under-implemented across adult and pediatric oncology settings. We pilot tested an electronic health record (EHR)-enabled multicomponent oncofertility intervention (including screening, referral, and fertility consult) in an adult academic oncology program and systematically assessed intervention fit to pediatric and community oncology programs. Methods: Using surveys (n = 33), audits (n = 143), and interviews (n = 21) guided by implementation science frameworks, we pilot tested the EHR-enabled intervention for oncofertility care in young cancer patients at an adult oncology program and evaluated implementation outcomes. We interviewed health care providers from seven regional oncology and fertility programs about intervention fit to their clinical contexts. Results: We recruited 33 health care providers from an adult oncology setting and 15 health care providers from seven additional oncology and fertility settings. At the adult oncology setting, the intervention was found to be appropriate, acceptable, and feasible and improved the screening of fertility needs (from 30% pre- to 51% post-intervention); yet, some patients did not receive appropriate referrals to fertility consults. Providers across all settings suggested content and context modifications, such as adding options to the intervention or allowing the screening component to pop up at a second visit, to improve and adapt the intervention to better fit their clinical care contexts. Conclusions: We found that the EHR-enabled intervention increased the rate of goal-concordant oncofertility care delivery at an adult oncology program. We also identified facilitators, barriers, and needed adaptations to the intervention required for implementation and scaling-up across diverse oncology settings.
Subject(s)
Fertility Preservation , Neoplasms , Telemedicine , Adolescent , Young Adult , Humans , Child , Adult , Pilot Projects , Neoplasms/complications , FertilityABSTRACT
HER2-targeted therapy dramatically improves outcomes in early breast cancer. Here we report the results of two HER2-targeted combinations in the neoadjuvant I-SPY2 phase 2 adaptive platform trial for early breast cancer at high risk of recurrence: ado-trastuzumab emtansine plus pertuzumab (T-DM1/P) and paclitaxel, trastuzumab and pertuzumab (THP). Eligible women have >2.5 cm clinical stage II/III HER2+ breast cancer, adaptively randomized to T-DM1/P, THP, or a common control arm of paclitaxel/trastuzumab (TH), followed by doxorubicin/cyclophosphamide, then surgery. Both T-DM1/P and THP arms 'graduate' in all subtypes: predicted pCR rates are 63%, 72% and 33% for T-DM1/P (n = 52), THP (n = 45) and TH (n = 31) respectively. Toxicity burden is similar between arms. Degree of HER2 pathway signaling and phosphorylation in pretreatment biopsy specimens are associated with response to both T-DM1/P and THP and can further identify highly responsive HER2+ tumors to HER2-directed therapy. This may help identify patients who can safely de-escalate cytotoxic chemotherapy without compromising excellent outcome.
Subject(s)
Ado-Trastuzumab Emtansine/therapeutic use , Breast Neoplasms/drug therapy , Neoadjuvant Therapy/methods , Adult , Aged , Antibodies, Monoclonal, Humanized/therapeutic use , Biomarkers, Tumor , Humans , Maytansine/therapeutic use , Middle Aged , Paclitaxel/therapeutic use , Receptor, ErbB-2/therapeutic use , Trastuzumab/therapeutic useABSTRACT
I-SPY2 is an adaptively randomized phase 2 clinical trial evaluating novel agents in combination with standard-of-care paclitaxel followed by doxorubicin and cyclophosphamide in the neoadjuvant treatment of breast cancer. Ganitumab is a monoclonal antibody designed to bind and inhibit function of the type I insulin-like growth factor receptor (IGF-1R). Ganitumab was tested in combination with metformin and paclitaxel (PGM) followed by AC compared to standard-of-care alone. While pathologic complete response (pCR) rates were numerically higher in the PGM treatment arm for hormone receptor-negative, HER2-negative breast cancer (32% versus 21%), this small increase did not meet I-SPY's prespecified threshold for graduation. PGM was associated with increased hyperglycemia and elevated hemoglobin A1c (HbA1c), despite the use of metformin in combination with ganitumab. We evaluated several putative predictive biomarkers of ganitumab response (e.g., IGF-1 ligand score, IGF-1R signature, IGFBP5 expression, baseline HbA1c). None were specific predictors of response to PGM, although several signatures were associated with pCR in both arms. Any further development of anti-IGF-1R therapy will require better control of anti-IGF-1R drug-induced hyperglycemia and the development of more predictive biomarkers.
ABSTRACT
PURPOSE: Safety, efficacy, and exploratory biomarker analyses were evaluated in patients with advanced HER2-negative germline breast cancer susceptibility gene (gBRCA)-associated breast cancer enrolled in the BROCADE3 trial who received crossover veliparib monotherapy after disease progression on placebo plus carboplatin/paclitaxel. PATIENTS AND METHODS: Eligible patients (N = 513) were randomized 2:1 to veliparib plus carboplatin/paclitaxel or placebo plus carboplatin/paclitaxel; patients had variable platinum-free intervals (PFI) at progression. In the placebo arm, patients were eligible to receive crossover veliparib monotherapy (300-400 mg twice daily continuous). Antitumor activity and adverse events were assessed during crossover veliparib treatment. BRCA reversion mutations at crossover were analyzed retrospectively using next-generation sequencing on plasma circulating tumor DNA (ctDNA). RESULTS: Seventy-five patients in the placebo plus carboplatin/paclitaxel arm received ≥1 dose of crossover veliparib postprogression (mean treatment duration: 154 days). Eight of 50 (16%) patients with measurable disease had a RECIST v1.1 response. Activity was greater in patients with PFI ≥180 days compared with <180 days [responses in 23.1% (3/13) vs. 13.5% (5/37) of patients]. BRCA reversion mutations that restored protein function were detected in ctDNA from 4 of 28 patients tested, and the mean duration of crossover veliparib monotherapy was <1 month in these 4 patients versus 7.49 months in patients lacking reversion mutations. The most frequent adverse events were nausea (61%), vomiting (29%), and fatigue (24%). CONCLUSIONS: Crossover veliparib monotherapy demonstrated limited antitumor activity in patients who experienced disease progression on placebo plus carboplatin/paclitaxel. PFI appeared to affect veliparib activity. BRCA reversion mutations may promote cross-resistance and limit veliparib activity following progression on platinum.
Subject(s)
Breast Neoplasms , Antineoplastic Combined Chemotherapy Protocols/adverse effects , Benzimidazoles , Breast Neoplasms/drug therapy , Breast Neoplasms/genetics , Carboplatin/adverse effects , Female , Humans , Mutation , Paclitaxel/adverse effects , Platinum/therapeutic use , Retrospective StudiesABSTRACT
Purpose: Oncofertility care at cancer diagnosis remains underimplemented across oncology and fertility care settings, with limited tools to scale up effective implementation strategies. Using implementation science theory, we systematically assessed factors that influence oncofertility care implementation and mapped scalable strategies, particularly electronic health record (EHR)-enabled ones, that fit adult and pediatric oncology care contexts. Methods: Using purposeful sampling, we recruited health care providers and female, reproductive-aged survivors of adolescent and young adult (AYA) cancers (AYA survivors) from a comprehensive cancer center and a freestanding children's hospital to semistructured interviews and focus groups. Using thematic analysis combining inductive codes with deductive codes using the Consolidated Framework for Implementation Research (CFIR), we characterized barriers and facilitators to care and designed responsive strategies. Two coders independently coded each transcript. Results: We recruited 19 oncology and fertility providers and 9 cancer survivors. We identified barriers and facilitators to oncofertility care in the CFIR domains of individual, inner setting, outer setting, and process, allowing us to conceptualize oncofertility care to encompass three core components (screening, referral, and fertility preservation counseling) and map five strategies to these components that fit an adult and a children's context and bridge oncology and fertility practices. The strategies were screening using a best practice advisory, referral order, telehealth fertility counseling, provider audit and feedback, and provider education. All but provider education were EHR tools with embedded efficiencies. Conclusion: An implementation science approach systematically assessed oncofertility care and mapped strategies to provide a theory-based approach and scalable EHR tools to support wider dissemination.
Subject(s)
Cancer Survivors , Fertility Preservation , Neoplasms , Adolescent , Adult , Child , Female , Fertility , Humans , Neoplasms/therapy , Survivors , Young AdultABSTRACT
BACKGROUND: Cyclin-dependent kinases (CDK) 4 and 6 regulate G1 to S cell cycle progression and are often altered in cancers. Abemaciclib is a selective inhibitor of CDK4 and CDK6 approved for administration on a continuous dosing schedule as monotherapy or as combination therapy with an aromatase inhibitor or fulvestrant in patients with advanced or metastatic breast cancer. This Phase 1b study evaluated the safety and tolerability, pharmacokinetics, and antitumor activity of abemaciclib in combination with endocrine therapy for metastatic breast cancer (MBC), including aromatase inhibitors (letrozole, anastrozole, or exemestane) or tamoxifen. PATIENTS AND METHODS: Women ≥18 years old with hormone receptor positive (HR+), human epidermal growth factor receptor 2 negative (HER2-) MBC were eligible for enrollment. Eligibility included measurable disease or non-measurable but evaluable bone disease by Response Evaluation Criteria in Solid Tumours (RECIST) v1.1, Eastern Cooperative Oncology Group performance status 0-1, and no prior chemotherapy for metastatic disease. Adverse events were graded by the National Cancer Institute Common Terminology Criteria for Adverse Events v4.0 and tumor response were assessed by RECIST v1.1. RESULTS: Sixty-seven patients were enrolled and received abemaciclib 200 mg every 12 hours in combination with letrozole (Part A, n=20), anastrozole (Part B, n=16), tamoxifen (Part C, n=16), or exemestane (Part D, n=15). The most common treatment-emergent adverse events (TEAE) were diarrhea, fatigue, nausea, and abdominal pain. Grade 4 TEAEs were reported in five patients (one each with hyperglycemia, hypertension, neutropenia, procedural hemorrhage, and sepsis). There was no effect of abemaciclib or endocrine therapy on the pharmacokinetics of any combination study drug. Across all treated patients, the median progression-free survival was 25.4 months (95% confidence interval: 18.0, 35.8). The objective response rate was 38.9% in 36 patients with measurable disease. CONCLUSIONS: Abemaciclib in combination with multiple endocrine therapy options exhibited manageable safety and promising antitumor activity in patients with HR+, HER2- MBC. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/, identifier NCT02057133.
ABSTRACT
Importance: Approximately 25% of patients with early-stage breast cancer who receive (neo)adjuvant chemotherapy experience a recurrence within 5 years. Improvements in therapy are greatly needed. Objective: To determine if pembrolizumab plus neoadjuvant chemotherapy (NACT) in early-stage breast cancer is likely to be successful in a 300-patient, confirmatory randomized phase 3 neoadjuvant clinical trial. Design, Setting, and Participants: The I-SPY2 study is an ongoing open-label, multicenter, adaptively randomized phase 2 platform trial for high-risk, stage II/III breast cancer, evaluating multiple investigational arms in parallel. Standard NACT serves as the common control arm; investigational agent(s) are added to this backbone. Patients with ERBB2 (formerly HER2)-negative breast cancer were eligible for randomization to pembrolizumab between November 2015 and November 2016. Interventions: Participants were randomized to receive taxane- and anthracycline-based NACT with or without pembrolizumab, followed by definitive surgery. Main Outcomes and Measures: The primary end point was pathologic complete response (pCR). Secondary end points were residual cancer burden (RCB) and 3-year event-free and distant recurrence-free survival. Investigational arms graduated when demonstrating an 85% predictive probability of success in a hypothetical confirmatory phase 3 trial. Results: Of the 250 women included in the final analysis, 181 were randomized to the standard NACT control group (median [range] age, 47 [24.77] years). Sixty-nine women (median [range] age, 50 [27-71] years) were randomized to 4 cycles of pembrolizumab in combination with weekly paclitaxel followed by AC; 40 hormone receptor (HR)-positive and 29 triple-negative. Pembrolizumab graduated in all 3 biomarker signatures studied. Final estimated pCR rates, evaluated in March 2017, were 44% vs 17%, 30% vs 13%, and 60% vs 22% for pembrolizumab vs control in the ERBB2-negative, HR-positive/ERBB2-negative, and triple-negative cohorts, respectively. Pembrolizumab shifted the RCB distribution to a lower disease burden for each cohort evaluated. Adverse events included immune-related endocrinopathies, notably thyroid abnormalities (13.0%) and adrenal insufficiency (8.7%). Achieving a pCR appeared predictive of long-term outcome, where patients with pCR following pembrolizumab plus chemotherapy had high event-free survival rates (93% at 3 years with 2.8 years' median follow-up). Conclusions and Relevance: When added to standard neoadjuvant chemotherapy, pembrolizumab more than doubled the estimated pCR rates for both HR-positive/ERBB2-negative and triple-negative breast cancer, indicating that checkpoint blockade in women with early-stage, high-risk, ERBB2-negative breast cancer is highly likely to succeed in a phase 3 trial. Pembrolizumab was the first of 10 agents to graduate in the HR-positive/ERBB2-negative signature. Trial Registration: ClinicalTrials.gov Identifier: NCT01042379.
Subject(s)
Antibodies, Monoclonal, Humanized/therapeutic use , Breast Neoplasms/drug therapy , Neoadjuvant Therapy/methods , Programmed Cell Death 1 Receptor/therapeutic use , Antibodies, Monoclonal, Humanized/pharmacology , Breast Neoplasms/pathology , Female , Humans , Neoplasm StagingABSTRACT
PURPOSE: The phosphatidylinositol 3-kinase/Akt/mammalian target of rapamycin is a key pathway of survival and therapeutic resistance in breast cancer. We evaluated the pan-Akt inhibitor MK-2206 in combination with standard therapy in patients with high-risk early-stage breast cancer. PATIENTS AND METHODS: I-SPY 2 is a multicenter, phase II, open-label, adaptively randomized neoadjuvant platform trial that screens experimental therapies and efficiently identifies potential predictive biomarker signatures. Patients are categorized by human epidermal growth factor receptor 2 (HER2), hormone receptor (HR), and MammaPrint statuses in a 2 × 2 × 2 layout. Patients within each of these 8 biomarker subtypes are adaptively randomly assigned to one of several experimental therapies, including MK-2206, or control. Therapies are evaluated for 10 biomarker signatures, each of which is a combination of these subtypes. The primary end point is pathologic complete response (pCR). A therapy graduates with one or more of these signatures if and when it has an 85% Bayesian predictive probability of success in a hypothetical phase III trial, adjusting for biomarker covariates. Patients in the current report received standard taxane- and anthracycline-based neoadjuvant therapy without (control) or with oral MK-2206 135 mg/week. RESULTS: MK-2206 graduated with 94 patients and 57 concurrently randomly assigned controls in 3 graduation signatures: HR-negative/HER2-positive, HR-negative, and HER2-positive. Respective Bayesian mean covariate-adjusted pCR rates and percentage probability that MK-2206 is superior to control were 0.48:0.29 (97%), 0.62:0.36 (99%), and 0.46:0.26 (94%). In exploratory analyses, MK-2206 evinced a numerical improvement in event-free survival in its graduating signatures. The most significant grade 3-4 toxicity was rash (14% maculopapular, 8.6% acneiform). CONCLUSION: The Akt inhibitor MK-2206 combined with standard neoadjuvant therapy resulted in higher estimated pCR rates in HR-negative and HER2-positive breast cancer. Although MK-2206 is not being further developed at this time, this class of agents remains of clinical interest.
Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Breast Neoplasms/drug therapy , Breast Neoplasms/metabolism , Receptor, ErbB-2/biosynthesis , Adult , Aged , Antineoplastic Combined Chemotherapy Protocols/adverse effects , Breast Neoplasms/enzymology , Breast Neoplasms/surgery , Doxorubicin/administration & dosage , Doxorubicin/adverse effects , Female , Heterocyclic Compounds, 3-Ring/administration & dosage , Humans , Middle Aged , Neoadjuvant Therapy , Paclitaxel/administration & dosage , Paclitaxel/adverse effects , Protein Kinase Inhibitors/administration & dosage , Protein Kinase Inhibitors/adverse effects , Proto-Oncogene Proteins c-akt/antagonists & inhibitors , Proto-Oncogene Proteins c-akt/metabolism , Receptors, Steroid/metabolism , Trastuzumab/administration & dosage , Trastuzumab/adverse effectsABSTRACT
Clinical-grade next-generation sequencing (NGS) of tissue- and blood-derived circulating tumor DNA (ctDNA) allows assessment of multiple genomic alterations in patients with cancer. We analyzed ctDNA (54-70 genes) in 62 patients with advanced breast cancer (median = five prior therapies); 38 also had tissue NGS (236-315 genes). Overall, 42 of 62 patients (68%) had detectable (characterized) ctDNA alterations (variants of unknown significance excluded), and 37 of 38 (97%) had tissue alterations. The median (range) number of characterized alterations in ctDNA was 1 (0-7), and in tissue, 4 (0-17). The most common alterations in ctDNA were in TP53 (37% of patients) and PIK3CA (23%), and for tissue, TP53 (37%) and PIK3CA (24%); EGFR amplification was seen in ctDNA (11%), but not in tissue. Concordance between ctDNA and tissue appeared higher if <6 months separated the sample acquisition, although small sample size precluded statistical validation. Overall, 32 of 67 tissue alterations (48%) were also detected in ctDNA; 35 of 72 ctDNA alterations (48%) were also in tissue. Excluding estrogen receptor and ERBB2, 41 of 62 patients (66%) had potentially actionable alterations in ctDNA, and 36 of 38 (95%), in tissue (with potential actionability based on either preclinical or clinical evidence). If ≥1 genomic alteration had ctDNA ≥5%, survival was shorter than if ctDNA was <5% (median, 6.7 vs. 17.9 months; P = 0.01). In conclusion, tissue and ctDNA NGS reveal potentially actionable alterations in most patients. The genomic results of ctDNA and tissue NGS overlap, but there are differences, perhaps reflecting temporal spacing and tumor heterogeneity. ctDNA quantification also provides prognostic information.
Subject(s)
Breast Neoplasms/genetics , Circulating Tumor DNA/genetics , Genome, Human/genetics , High-Throughput Nucleotide Sequencing , Biomarkers, Tumor/blood , Breast Neoplasms/blood , Breast Neoplasms/pathology , Cell Line, Tumor , Circulating Tumor DNA/blood , Female , Genomics , Humans , Middle Aged , MutationABSTRACT
The NCCN Guidelines for Breast Cancer Screening and Diagnosis have been developed to facilitate clinical decision making. This manuscript discusses the diagnostic evaluation of individuals with suspected breast cancer due to either abnormal imaging and/or physical findings. For breast cancer screening recommendations, please see the full guidelines on NCCN.org.
Subject(s)
Breast Neoplasms/diagnosis , Early Detection of Cancer/standards , Mass Screening/standards , Medical Oncology/standards , Adult , Age Factors , Biopsy/methods , Biopsy/standards , Breast/diagnostic imaging , Breast/pathology , Breast Neoplasms/epidemiology , Breast Neoplasms/pathology , Breast Neoplasms/prevention & control , Clinical Decision-Making/methods , Early Detection of Cancer/methods , Female , Humans , Incidence , Mammography/methods , Mammography/standards , Mass Screening/methods , Medical Oncology/methods , Middle Aged , Societies, Medical/standards , United States/epidemiologyABSTRACT
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.).
Subject(s)
Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Breast Neoplasms/drug therapy , Quinolines/administration & dosage , Adult , Aged , Antineoplastic Combined Chemotherapy Protocols/adverse effects , Bayes Theorem , Biomarkers, Tumor , Breast Neoplasms/genetics , Breast Neoplasms/surgery , Female , Humans , Middle Aged , Neoadjuvant Therapy , Paclitaxel/administration & dosage , Paclitaxel/adverse effects , Quinolines/adverse effects , Receptor, ErbB-2 , Receptors, Estrogen , Receptors, Progesterone , Trastuzumab/administration & dosageABSTRACT
Alterations in the cyclin-dependent kinase (CDK)-retinoblastoma (RB) machinery disrupt cell-cycle regulation and are being targeted in drug development. To understand the cancer types impacted by this pathway, we analyzed frequency of abnormalities in key cell-cycle genes across 4,864 tumors using next-generation sequencing (182 or 236 genes; Clinical Laboratory Improvement Amendments laboratory). Aberrations in the cell-cycle pathway were identified in 39% of cancers, making this pathway one of the most commonly altered in cancer. The frequency of aberrations was as follows: CDKN2A/B (20.1% of all patients), RB1 (7.6%), CCND1 (6.1%), CCNE1 (3.6%), CDK4 (3.2%), CCND3 (1.8%), CCND2 (1.7%), and CDK6 (1.7%). Rates and types of aberrant cell-cycle pathway genes differed between cancer types and within histologies. Analysis of coexisting and mutually exclusive genetic aberrations showed that CCND1, CCND2, and CCND3 aberrations were all positively associated with CDK6 aberrations [OR and P values, multivariate analysis: CCND1 and CDK6 (OR = 3.5; P < 0.0001), CCND2 and CDK6 (OR = 4.3; P = 0.003), CCND3 and CDK6 (OR = 3.6; P = 0.007)]. In contrast, RB1 alterations were negatively associated with multiple gene anomalies in the cell-cycle pathway, including CCND1 (OR = 0.25; P = 0.003), CKD4 (OR = 0.10; P = 0.001), and CDKN2A/B (OR = 0.21; P < 0.0001). In conclusion, aberrations in the cell-cycle pathway were very common in diverse cancers (39% of 4,864 neoplasms). The frequencies and types of alterations differed between and within tumor types and will be informative for drug development strategies. Mol Cancer Ther; 15(7); 1682-90. ©2016 AACR.
Subject(s)
Cell Cycle/genetics , Gene Expression Regulation, Neoplastic , Genetic Variation , High-Throughput Nucleotide Sequencing , Neoplasms/genetics , Cell Cycle/drug effects , Cell Cycle Proteins/genetics , Cell Cycle Proteins/metabolism , Computational Biology/methods , DNA Mutational Analysis , Female , Gene Expression Profiling , Gene Expression Regulation, Neoplastic/drug effects , Genomics/methods , Humans , Male , Molecular Targeted Therapy , Mutation , Neoplasms/drug therapy , Neoplasms/metabolismABSTRACT
By profiling their patients' tumors, oncologists now have the option to use molecular results to match patients with drug(s) based on specific biomarkers. In this observational study, 347 patients with solid advanced cancers and next-generation sequencing (NGS) results were evaluated. Outcomes for patients who received a "matched" versus "unmatched" therapy following their NGS results were compared. Eighty-seven patients (25%) were treated with a "matched" therapy, 93 (26.8%) with an "unmatched" therapy. More patients in the matched group achieved stable disease (SD) ≥ 6 months/partial response (PR)/complete response (CR), 34.5% vs. 16.1%, (P ≤ 0.020 multivariable or propensity score methods). Matched patients had a longer median progression-free survival (PFS; 4.0 vs. 3.0 months, P = 0.039 in the Cox regression model). In analysis using PFS1 (PFS on the prior line of therapy) as a comparator to PFS after NGS, as expected, the unmatched group demonstrated a PFS2 significantly shorter than PFS1 (P = 0.009); however, this shortening was not observed in the matched patients (P = 0.595). Furthermore, 45.3% of the matched patients (24/53) had a PFS2/PFS1 ratio ≥1.3 compared with 19.3% of patients (11/57) in the unmatched group (P = 0.004 univariable and P ≥ 0.057 in multivariable/propensity score analysis). Patients with a "matching-score" (the number of matched drugs divided by the number of aberrations; unmatched patients had a score of zero) > 0.2 had a median overall survival (OS) of 15.7 months compared with 10.6 months when their matching-score was ≤ 0.2, (P = 0.040 in the Cox regression model). Matched versus unmatched patients had higher rates of SD ≥ 6 months/PR/CR and longer PFS, and improvement in OS correlated with a higher matching score in multivariable analysis. Mol Cancer Ther; 15(4); 743-52. ©2016 AACR.
Subject(s)
Medical Oncology , Neoplasms/diagnosis , Neoplasms/therapy , Precision Medicine , Antineoplastic Combined Chemotherapy Protocols/therapeutic use , Biomarkers, Tumor , California , Female , Gene Expression Profiling , Genomics/methods , High-Throughput Nucleotide Sequencing , Humans , Male , Middle Aged , Molecular Targeted Therapy , Neoplasms/genetics , Neoplasms/mortality , Prognosis , Propensity Score , Proportional Hazards Models , Retrospective Studies , Treatment OutcomeABSTRACT
PURPOSE: Molecular profiling may have prognostic and predictive value, and is increasingly used in the clinical setting. There are more than a dozen fibroblast growth factor receptor (FGFR) inhibitors in development. Optimal therapeutic application of FGFR inhibitors requires knowledge of the rates and types of FGFR aberrations in a variety of cancer types. EXPERIMENTAL DESIGN: We analyzed frequencies of FGFR aberrations in 4,853 solid tumors that were, on physician request, tested in a Clinical Laboratory Improvement Amendments (CLIA) laboratory (Foundation Medicine) using next-generation sequencing (182 or 236 genes), and analyzed by N-of-One. RESULTS: FGFR aberrations were found in 7.1% of cancers, with the majority being gene amplification (66% of the aberrations), followed by mutations (26%) and rearrangements (8%). FGFR1 (mostly amplification) was affected in 3.5% of 4,853 patients; FGFR2 in 1.5%; FGFR3 in 2.0%; and FGFR4 in 0.5%. Almost every type of malignancy examined showed some patients with FGFR aberrations, but the cancers most commonly affected were urothelial (32% FGFR-aberrant); breast (18%); endometrial (â¼13%), squamous lung cancers (â¼13%), and ovarian cancer (â¼9%). Among 35 unique FGFR mutations seen in this dataset, all but two are found in COSMIC. Seventeen of the 35 are known to be activating, and 11 are transforming. CONCLUSIONS: FGFR aberrations are common in a wide variety of cancers, with the majority being gene amplifications or activating mutations. These data suggest that FGFR inhibition could be an important therapeutic option across multiple tumor types.