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BACKGROUND: Real-world data for advanced/metastatic non-small-cell lung cancer (NSCLC) with mutations in human epidermal growth factor 2 (HER2) are scarce. We aimed to assess treatment patterns and outcomes among patients with HER2-mutant advanced/metastatic NSCLC. PATIENTS AND METHODS: This retrospective nationwide electronic health record study evaluated patient characteristics, treatment patterns, treatment duration, and overall survival for adults with HER2-mutant advanced/metastatic NSCLC without epidermal growth factor receptor mutation. RESULTS: Of 55 included patients, median (quartile 1 [Q1]-quartile 3 [Q3]) age was 63.0 (58.0-72.0) years, 42 (76%) were women, and 39 (71%) were current/former smokers. In first-line therapy, 14 regimens were used for median (Q1-Q3) duration of 3.1 (2.4-6.2) months, with most patients (n = 39, 71%) receiving platinum-based chemotherapy alone or in combination with other agents. Median (95% CI) overall survival from first-line treatment initiation was 19.0 (12.2-not estimable) months, with no significant association with age, sex, or smoking status. Thirty-five (64%) patients received second-line therapy for median (Q1-Q3) duration of 3.3 (2.0-5.2) months. Fourteen second-line regimens were used; most commonly immunotherapy alone or in combination with other agents (n = 16, 46%). Sixteen (46%) patients received third-line therapy for median (Q1-Q3) duration of 1.9 (1.3-2.7) months. Nine third-line regimens were used, with 7 (44%) patients receiving HER2-directed agents. CONCLUSION: First- and second-line treatments for HER2-mutant NSCLC varied widely and treatment duration was short. The approval of trastuzumab deruxtecan for NSCLC supports wider HER2 testing to identify eligible patients for HER2-directed therapy.
Assuntos
Carcinoma Pulmonar de Células não Pequenas , Registros Eletrônicos de Saúde , Neoplasias Pulmonares , Mutação , Receptor ErbB-2 , Humanos , Carcinoma Pulmonar de Células não Pequenas/genética , Carcinoma Pulmonar de Células não Pequenas/tratamento farmacológico , Carcinoma Pulmonar de Células não Pequenas/patologia , Carcinoma Pulmonar de Células não Pequenas/mortalidade , Feminino , Masculino , Neoplasias Pulmonares/tratamento farmacológico , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/patologia , Neoplasias Pulmonares/mortalidade , Pessoa de Meia-Idade , Receptor ErbB-2/genética , Receptor ErbB-2/metabolismo , Idoso , Estudos Retrospectivos , Estados Unidos , Padrões de Prática Médica/estatística & dados numéricos , Resultado do Tratamento , Bases de Dados Factuais , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapêutico , Metástase Neoplásica , Taxa de SobrevidaRESUMO
Patients with cancer may be given treatments that are not officially approved (off-label) or recommended by guidelines (off-guideline). Here we present a data science framework to systematically characterize off-label and off-guideline usages using real-world data from de-identified electronic health records (EHR). We analyze treatment patterns in 165,912 US patients with 14 common cancer types. We find that 18.6% and 4.4% of patients have received at least one line of off-label and off-guideline cancer drugs, respectively. Patients with worse performance status, in later lines, or treated at academic hospitals are significantly more likely to receive off-label and off-guideline drugs. To quantify how predictable off-guideline usage is, we developed machine learning models to predict which drug a patient is likely to receive based on their clinical characteristics and previous treatments. Finally, we demonstrate that our systematic analyses generate hypotheses about patients' response to treatments.
Assuntos
Antineoplásicos , Neoplasias , Humanos , Uso Off-Label , Neoplasias/tratamento farmacológico , Neoplasias/epidemiologia , Antineoplásicos/uso terapêuticoRESUMO
Purpose: Immune checkpoint inhibitors (ICI) used as cancer therapy have been associated with a range of cardiac immune-related adverse events (irAEs), including fulminant myocarditis with a high case fatality rate. Early detection through cardiotoxicity screening by biomarker monitoring can lead to prompt intervention and improved patient outcomes. In this study, we investigate the association between cardiotoxicity screening with routine serial troponin I monitoring in asymptomatic patients receiving ICI, cardiovascular adverse event (CV AE) detection, and overall survival (OS). Methods: We instituted a standardized troponin I screening protocol at baseline and with each ICI dose (every 2-4 weeks) in all patients receiving ICI at our center starting Jan 2019. We subsequently collected data in 825 patients receiving ICI at our institution from January 2018 to October 2021. Of these patients, 428 underwent cardiotoxicity screening with serial troponin I monitoring during ICI administration (Jan 2019-Oct 2021) and 397 patients were unmonitored (Jan 2018-Dec 2018). We followed patients for nine months following their first dose of ICI and compared outcomes of CV AEs and OS between monitored and unmonitored patients. Additionally, we investigated rates of CV AEs, all-cause mortality, and oncologic time-to-treatment failure (TTF) between patients with an elevated troponin I value during the monitoring period versus patients without elevated troponin I. Results: We found a lower rate of severe (grades 4-5) CV AEs, resulting in critical illness or death, in patients who underwent troponin monitoring (0.5%) compared to patients who did not undergo monitoring (1.8%), (HR 0.17, 95% CI 0.02-0.79, p = 0.04). There was no difference in overall CV AEs (grades 3-5) or OS between monitored and unmonitored patients. In the entire cohort, patients with at least one elevated troponin I during the follow up period, during routine monitoring or unmonitored, had a higher risk of overall CV AEs (HR 10.96, 95% CI 4.65-25.85, p<0.001) as well as overall mortality (HR 2.67, 95% CI 1.69 - 4.10, p<0.001) compared to those without elevated troponin. Oncologic time-to-treatment failure (TTF) was not significantly different in a sub-cohort of monitored vs. unmonitored patients. Conclusions: Patients undergoing cardiotoxicity screening with troponin I monitoring during ICI therapy had a lower rate of severe (grade 4-5) CV AEs compared patients who were not screened. Troponin I elevation in screened and unscreened patients was significantly associated with increased CV AEs as well as increased mortality. Troponin I monitoring did not impact oncologic time-to-treatment-failure in a sub-cohort analysis of patients treated with ICI. These results provide preliminary evidence for clinical utility of cardiotoxicity screening with troponin I monitoring in patients receiving ICI therapy.
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Purpose of the Review: Even as immune checkpoint inhibitors (ICIs) have transformed the lifespan of many patients, they may also trigger acceleration of long-term cardiovascular disease. Our review aims to examine the current landscape of research on ICI-mediated atherosclerosis and address key questions regarding its pathogenesis and impact on patient management. Recent Findings: Preclinical mouse models suggest that T cell dysregulation and proatherogenic cytokine production are key contributors to plaque development after checkpoint inhibition. Clinical data also highlight the significant burden of atherosclerotic cardiovascular disease (ASCVD) in patients on immunotherapy, although the value of proactively preventing and treating ASCVD in this population remains an open area of inquiry. Current treatment options include dietary/lifestyle modification and traditional medications to manage hypertension, hyperlipidemia, and diabetes risk factors; no current targeted therapies exist. Summary: Early identification of high-risk patients is crucial for effective preventive strategies and timely intervention. Future research should focus on refining screening tools, elucidating targetable mechanisms driving ICI atherosclerosis, and evaluating long-term cardiovascular outcomes in cancer survivors who received immunotherapy. Moreover, close collaboration between oncologists and cardiologists is essential to optimize patient outcomes.