Purpose/objective: Treatment of presumed early-stage lung cancer with definitive radiation therapy in the absence of a pathologically confirmed specimen frequently occurs. However, it is not well described in the literature, and there are few North American series reporting on this patient population. We report outcomes in patients treated with stereotactic body radiotherapy (SBRT) for presumed lung cancer and compare them to outcomes in patients treated with SBRT with pathologically confirmed non-small cell lung cancer (NSCLC).
Materials/methods: This study is based on a retrospective review of 55 patients with presumed or confirmed lung cancer: 23 patients had nondiagnostic or absent pathologic specimens while 32 patients had pathologically confirmed NSCLC. All patients had hypermetabolic primary lesions on a positron emission tomography (PET) or PET/computed tomography (CT) scan. SBRT was delivered as 48-56 Gy in four to five fractions via a four-dimensional CT treatment plan.
Results: Of the patients without pathological confirmation, the mean age was 78 (range 63-89 years) and 17 (74%) were men. The mean tumor size was 2.5 cm (range 1.0-5.1). Reasons for not having confirmed pathologic diagnosis included indeterminate biopsy specimen or an inability to tolerate a biopsy procedure due to poor respiratory status. SBRT was chosen due to noncandidacy for surgery in 17 patients (74%) or patient refusal of surgery in six (26%). Median follow up was 24.2 months (range 1.9-64.6): 2 of the 23 patients (8.7%) had local failure at the site of SBRT and 3 (13%) had regional failure. The actuarial 12-month overall survival was 83%. The median overall survival was 30.2 months. At last follow up, 12 patients (52%) were alive up to 64.6 months after treatment. SBRT was tolerated well in this series. Acute toxicity was noted in two patients (8.7%) and chronic toxicity in three (13%). These patient characteristics and results were shown to be similar to the 32 patients with pathologically confirmed NSCLC. On Kaplan-Meier analysis, there was no significant difference (p = 0.27) in overall survival between patients with pathologically confirmed NSCLC and those with presumed lung cancer (which was deemed most likely NSCLC).
Conclusion: While biopsy confirmation remains a goal in the workup of suspected NSCLC, SBRT without pathologic confirmation may represent a safe and effective option for the treatment of presumed NSCLC among patients who cannot tolerate or refuse surgery.
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http://dx.doi.org/10.1177/1753465813512545 | DOI Listing |
Genet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFCancer Med
January 2025
The Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah, USA.
Introduction: The purpose of this study was to evaluate the association between body composition, overall survival, odds of receiving treatment, and patient-reported outcomes (PROs) in individuals living with metastatic non-small-cell lung cancer (mNSCLC).
Methods: This retrospective analysis was conducted in newly diagnosed patients with mNSCLC who had computed-tomography (CT) scans and completed PRO questionnaires close to metastatic diagnosis date. Cox proportional hazard models and logistic regression evaluated overall survival and odds of receiving treatment, respectively.
Explor Target Antitumor Ther
December 2024
Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL 32224, US.
The emergence of immunotherapy has ushered in a new era in the management of non-small cell lung cancer (NSCLC). Various immune check point inhibitors have demonstrated significant benefit in the management of locally advanced NSCLC that are treated with either surgery or concurrent chemoradiation. We provide a comprehensive and up-to-date review of data from key studies, discuss the challenging clinical issue regarding the timing and duration of immunotherapy in patients undergoing surgery, and highlight the unmet needs and future directions of immunotherapy in NSCLC.
View Article and Find Full Text PDFExplor Target Antitumor Ther
December 2024
Department of Thoracic Oncology, Georges Pompidou European Hospital, Paris Cité University, AP-HP, CARPEM, 75015 Paris, France.
Aim: Immune checkpoint inhibitors improved the survival of advanced non-small cell lung cancer. However, only 20% of patients respond to these treatments and the search for predictive biomarkers of response is still topical. The objective of this work is to analyze the anti-PD-1 monotherapy benefit based on genetic alterations diagnosed by next generation sequencing (NGS), in advanced non-small cell lung cancer.
View Article and Find Full Text PDFExplor Target Antitumor Ther
November 2024
Division of Pulmonary, Critical Care, and Sleep Disorders Medicine, Department of Medicine, University of Louisville School of Medicine, Louisville, KY 40202, USA.
There has been a rapid expansion of immunotherapy options for non-small cell lung cancer (NSCLC) over the past two decades, particularly with the advent of immune checkpoint inhibitors. Despite the emerging role of immunotherapy in adjuvant and neoadjuvant settings though, relatively few patients will respond to immunotherapy which can be problematic due to expense and toxicity; thus, the development of biomarkers capable of predicting immunotherapeutic response is imperative. Due to the promise of a noninvasive, personalized approach capable of providing comprehensive, real-time monitoring of tumor heterogeneity and evolution, there has been wide interest in the concept of using circulating tumor DNA (ctDNA) to predict treatment response.
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