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Full-Text Articles in Pathology
Idiopathic Pulmonary Fibrosis And Lung Cancer: Future Directions And Challenges, Ahmad Abu Qubo, Jamil Numan, Juan Snijder, Maria Padilla, John H.M. Austin, Kathleen M. Capaccione, Monica Pernia, Jean Bustamante, Timothy O’Connor, Mary M. Salvatore
Idiopathic Pulmonary Fibrosis And Lung Cancer: Future Directions And Challenges, Ahmad Abu Qubo, Jamil Numan, Juan Snijder, Maria Padilla, John H.M. Austin, Kathleen M. Capaccione, Monica Pernia, Jean Bustamante, Timothy O’Connor, Mary M. Salvatore
Einstein Health Papers
Idiopathic pulmonary fibrosis (IPF) is a progressive disease of pulmonary scarring. New treatments slow disease progression and allow pulmonary fibrosis patients to live longer. Persistent pulmonary fibrosis increases a patient’s risk of developing lung cancer. Lung cancer in patients with IPF differs from cancers that develop in the non-fibrotic lung. Peripherally located adenocarcinoma is the most frequent cell type in smokers who develop lung cancer, while squamous cell carcinoma is the most frequent in pulmonary fibrosis. Increased fibroblast foci in IPF are associated with more aggressive cancer behaviour and shorter doubling times. Treatment of lung cancer in fibrosis is challenging …
Intratumoral Heterogeneity Analysis Reveals Hidden Associations Between Protein Expression Losses And Patient Survival In Clear Cell Renal Cell Carcinoma., Wei Jiang, Essel Dulaimi, Karthik Devarajan, Theodore Parsons, Qiong Wang, Raymond O'Neill, Charalambos C. Solomides, Stephen C. Peiper, Joseph R. Testa, Robert Uzzo, Haifeng Yang
Intratumoral Heterogeneity Analysis Reveals Hidden Associations Between Protein Expression Losses And Patient Survival In Clear Cell Renal Cell Carcinoma., Wei Jiang, Essel Dulaimi, Karthik Devarajan, Theodore Parsons, Qiong Wang, Raymond O'Neill, Charalambos C. Solomides, Stephen C. Peiper, Joseph R. Testa, Robert Uzzo, Haifeng Yang
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
Intratumoral heterogeneity (ITH) is a prominent feature of kidney cancer. It is not known whether it has utility in finding associations between protein expression and clinical parameters. We used ITH that is detected by immunohistochemistry (IHC) to aid the association analysis between the loss of SWI/SNF components and clinical parameters.160 ccRCC tumors (40 per tumor stage) were used to generate tissue microarray (TMA). Four foci from different regions of each tumor were selected. IHC was performed against PBRM1, ARID1A, SETD2, SMARCA4, and SMARCA2. Statistical analyses were performed to correlate biomarker losses with patho-clinical parameters. Categorical variables were compared between groups …