Background: This review describes a new therapeutic landscape in the adjuvant treatment of resectable non-small cell lung cancer (NSCLC) and discusses the role of the surgeon in ensuring the best outcomes within this treatment paradigm.
Methods: We conducted a narrative literature review using the search terms "non-small cell lung cancer" and "adjuvant" to identify randomized Phase III trials of systemic adjuvant therapy for NSCLC through March 17, 2022. We also searched ClinicalTrials.gov to identify ongoing trials of adjuvant immunotherapies and targeted therapies for NSCLC.
Results: Three recent randomized Phase III trials reported significant improvements in disease-free survival with adjuvant immune checkpoint inhibitors or targeted therapy in patients with resectable NSCLC: IMpower010 (atezolizumab vs best supportive care; NCT02486718), KEYNOTE-091 (PEARLS) (pembrolizumab vs placebo; NCT02504372), and ADAURA (osimertinib vs placebo; NCT02511106). Numerous other Phase III trials evaluating adjuvant immune checkpoint inhibitors and targeted therapies are currently underway, many of which demonstrate an evolution of trial design and end points for adjuvant therapy trials. This rapidly changing treatment landscape requires a shift in the role of the surgeon to facilitate appropriate biomarker screening for planning of the perioperative period and molecular testing of the surgical specimen to guide adjuvant therapy.
Conclusions: After decades of stagnation in the management of NSCLC, recent results with immune checkpoint inhibitors and targeted therapies are ushering in a new era of precision medicine in the adjuvant treatment of early-stage NSCLC. Surgeons have an important role in facilitating multidisciplinary care in this rapidly evolving landscape.
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http://dx.doi.org/10.1016/j.athoracsur.2022.09.029 | DOI Listing |
Cureus
December 2024
Pulmonary and Critical Care, Brody School of Medicine, East Carolina University, Greenville, USA.
Lung cancer is the third most prevalent cancer, following breast cancer in women and prostate cancer in men. However, it remains the leading cause of cancer-related mortality. As treatment options have advanced, the significance of accurate diagnosis has increased, enabling targeted and more personalized therapeutic treatments.
View Article and Find Full Text PDFTech Innov Patient Support Radiat Oncol
March 2025
Department of Radiation Oncology, Emory University, Atlanta, GA, USA.
Background: Recent patient studies have linked higher immune cell doses with worse quality of life and survival. For thoracic radiotherapy, heart dose is a major contributor to the effective dose to immune cells (EDIC).
Purpose: This study investigates heart and immune cell doses for plans optimized using a cardiac-sparing knowledge-based planning (KBP) model and the impact of carefully crafted beam geometry.
JTO Clin Res Rep
November 2024
Vanderbilt University School of Medicine, Nashville, Tennessee.
Introduction: Combination chemoimmunotherapy including pemetrexed and a PD(L)1 inhibitor is a common first-line systemic therapy approach for patients with metastatic nonsquamous NSCLC. Patients often discontinue maintenance pemetrexed due to adverse effects, and little is known about the impact of maintenance pemetrexed cessation on real-world progression-free survival (rwPFS) and overall survival (OS).
Methods: A total of 121 patients with stage IV or recurrent, metastatic nonsquamous NSCLC treated at Vanderbilt University Medical Center (VUMC) were included in this retrospective analysis.
JTO Clin Res Rep
November 2024
Department of Medicine, Section of Hematology and Oncology, University of Chicago Medical Center, Chicago, Illinois.
fusions are present in 1% to 2% of NSCLCs. Although RET inhibitors like selpercatinib are effective, resistance inevitably develops. We present the case of a 28-year-old female with recurrent NSCLC and a fusion treated with selpercatinib.
View Article and Find Full Text PDFBMJ Oncol
November 2024
Department of Computer Science, Durham University, Durham, UK.
Objectives: Routine monitoring of renal and hepatic function during chemotherapy ensures that treatment-related organ damage has not occurred and clearance of subsequent treatment is not hindered; however, frequency and timing are not optimal. Model bias and data heterogeneity concerns have hampered the ability of machine learning (ML) to be deployed into clinical practice. This study aims to develop models that could support individualised decisions on the timing of renal and hepatic monitoring while exploring the effect of data shift on model performance.
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