Objectives: Treatment of central and ultra-central lung tumors with stereotactic ablative radiotherapy (SABR) remains controversial due to risks of treatment-related toxicities compared with peripheral tumors. Here we report our institution's experience in treating central and ultra-central lung tumor patients with SABR.
Materials And Methods: We retrospectively reviewed outcomes in 68 patients with single lung tumors, 34 central and 34 peripheral, all treated with SABR consisting of 50 Gy in 4-5 fractions. Tumor centrality was defined per the RTOG 0813 protocol. We defined "ultra-central" tumors as those with GTV directly abutting the central airway.
Results: Median follow-up time was 18.4 months and median overall survival was 38.1 months. Two-year overall survival was similar between ultra-central, central, and peripheral NSCLC (80.0% vs. 63.2% vs. 86.6%, P=0.62), as was 2-year local failure (0% vs. 10.0% vs. 16.3%, P=0.64). Toxicity rates were low and comparable between the three groups, with only two cases of grade 3 toxicity (chest wall pain), and one case of grade 4 toxicity (pneumonitis) observed. Patients with ultra-central tumors experienced no symptomatic toxicities over a median follow-up time of 23.6 months. Dosimetric analysis revealed that RTOG 0813 central airway dose constraints were frequently not achieved in central tumor treatment plans, but this did not correlate with increased toxicity rate.
Conclusion: Patients with central and ultra-central lung tumors treated with SABR (50 Gy in 4-5 fractions) experienced few toxicities and good outcomes, similar to patients with peripheral lung tumors.
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http://dx.doi.org/10.1016/j.lungcan.2015.04.014 | DOI Listing |
Nat Commun
January 2025
Bioinformatics and computational systems biology of cancer, Institut Curie, Inserm U900, PSL Research University, Paris, France.
Immunotherapy is improving the survival of patients with metastatic non-small cell lung cancer (NSCLC), yet reliable biomarkers are needed to identify responders prospectively and optimize patient care. In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information.
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Department of Medical Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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January 2025
Department of Cell and Molecular Biology, College of Medicine, Chang Gung University, 259 Wen-Hwa 1 road, Guishan District, Taoyuan, Taiwan.
Background: The Golgi apparatus is widely considered a secretory center and a hub for different signaling pathways. Abnormalities in Golgi dynamics can perturb the tumor microenvironment and influence cell migration. Therefore, unraveling the regulatory network of the Golgi and searching for pharmacological targets would facilitate the development of novel anticancer therapies.
View Article and Find Full Text PDFZhongguo Fei Ai Za Zhi
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Department of Oncology, The Central Hospital of Shaoyang, Shaoyang 422000, China.
With the rapid development of epidermal growth factor receptor (EGFR) gene testing of lung adenocarcinoma patients has been routinely carried out, EGFR mutations are also possible for some small samples of non-smoking female lung squamous cell carcinoma patients. This increases the opportunity for targeted therapy for this group of patients. However, drug resistance in patients with lung squamous cell carcinoma during targeted therapy is an important factor affecting subsequent treatment.
View Article and Find Full Text PDFZhongguo Fei Ai Za Zhi
November 2024
Department of Pulmonary Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin 300000, China.
Mesenchymal-epithelial transition factor (MET) gene mutation is a large class of mutations commonly seen in non-small cell lung cancer (NSCLC). MET mutation includes subtypes such as MET exon 14 skipping mutation (METex14m) and MET amplification (METamp). For advanced NSCLC with METex14m, Savolitinib has a high sensitivity as a member of tyrosine kinase inhibitors (TKIs).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!