Lung cancer is a leading cause of cancer death worldwide, and very few specific biomarkers can be used in its clinical diagnosis. Using surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (MS) to find novel serum biomarkers for lung cancer, we analyzed 227 serum samples, including 146 lung cancers, 41 benign lung diseases and 40 normal individuals. Three peaks, at 13.78, 13.90 and 14.07 k m/z, were significantly lower in lung cancer sera compared with sera from normal individuals (P < 0.001), whereas these peaks were higher than those in the sera of benign lung diseases (P < 0.001). The peaks were identified as native transthyretin (TTR) and its two variants by one-dimensional polyacrylamide gel electrophoresis, ESI-MS/MS, immunoprecipitation and western blot analysis. An enzyme-linked immunosorbent assay indicated that TTR levels were consistent with surface-enhanced laser desorption-ionization analysis in all groups tested. It gave 78.5% sensitivity and 77.5% specificity for lung cancer versus normal at the cut-off point 115 microg/mL, and 66.7% sensitivity and 64.4% specificity for lung cancer versus benign lung diseases at the cut-off point 88.5 microg/mL. Therefore, TTR may be useful as a biomarker to improve the diagnosis of lung cancer.
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http://dx.doi.org/10.1111/j.1349-7006.2007.00576.x | 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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