Introduction: Lung cancer is one of the most common malignant neoplasms, as well as the most common cause of death cancer. Most lung cancers are squamous cell carcinomas, small cell carcinomas or adenocarcinomas.
Objective: Examining changes in trends of lung cancer incidence in Montenegro by histological type during a 15-year period, from 1997 to 2011.
Methods: During the study period, histopathological confirmation was obtained for all primary lung cancer cases in the only hospital for lung diseases in the country. Based on the data from medical records, patients were classified by time period, sex, age groups and smoking history. Descriptive method was used.
Results: Ratio between incidences of adenocarcinoma and squamous cell carcinoma changes in males, with a significant increase in the incidence rate of adenocarcinoma and drop in the rate of squamous cell carcinoma (p < 0.001). In addition, statistically significant (p < 0.05) decrease in the incidence of NSCLC (non-small cell lung cancer) and an increase in the incidence of SCLC (small cell lung cancer) was found. A statistically significant increase in linear trend in the incidence of small cell carcinoma was noted in females (p < 0.005).
Conclusion: Incidence rates of adenocarcinoma and small cell carcinoma have increased during the study period.
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http://dx.doi.org/10.2298/sarh1402023m | DOI Listing |
Cancer Med
February 2025
Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany.
Introduction: Immune checkpoint inhibitors (ICI) have improved the therapeutic arsenal in outpatient oncology care; however, data on necessity of hospitalizations associated with immune-related adverse events (irAEs) are scarce. Here, we characterized hospitalizations of patients undergoing ICI, from the prospective cohort study of the immune cooperative oncology group (ICOG) Hannover.
Methods: Between 12/2019 and 06/2022, 237 patients were included.
J Cardiothorac Surg
January 2025
Division of Thoracic Surgery, LMU University Hospital, LMU Munich and Asklepios Lung Clinic, Gauting, Germany.
Background: Lymph node upstaging represents a quality criterion for standardized lymphadenectomy in lung cancer surgery. The aim of the study was to compare whether the quality of standardized lymphadenectomy in lung cancer surgery is comparable in minimally invasive (video-assisted thoracoscopic surgery) and the open approach (thoracotomy). Furthermore, factors associated with lymph node upstaging were assessed, as was its impact on overall survival and progression-free survival.
View Article and Find Full Text PDFBMC Rheumatol
January 2025
Department of Rheumatology, Overton Brooks VA Medical Center, Shreveport, LA, USA.
Background: Dermatomyositis is a chronic inflammatory condition affecting muscles and skin, often associated with an increased risk of cancer. Specific autoantibodies, including anti-TIF1 (Transcription Intermediary Factor 1), have been linked to this risk. We present a case of dermatomyositis in a male patient positive for anti-TIF1 antibodies, subsequently diagnosed with squamous cell carcinoma of the tonsil, a novel association not previously documented.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei, China.
Brain metastases (BM) are the most prevalent intracranial malignancies. Approximately 30-40% of cancer patients develop BM at some stage of their illness, presenting with a high incidence and poor prognosis. Our clinical findings indicate a significant disparity in the efficacy between non-enhanced and enhanced lung cancer BM.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs). Here, we present Celina, a statistical method for systematically detecting cell type-specific SVGs (ct-SVGs)-a subset of SVGs exhibiting distinct spatial expression patterns within specific cell types. Celina utilizes a spatially varying coefficient model to accurately capture each gene's spatial expression pattern in relation to the distribution of cell types across tissue locations, ensuring effective type I error control and high power.
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