Purpose: To establish penile cancer (PeCa) cell lines for the study of molecular mechanisms of carcinogenesis and testing therapeutic reagents.
Materials And Methods: We successfully established two PeCa cell lines from fresh tumor tissues from 21 cases. One cell line named Penl1 was isolated from a lymph node metastasis (LNM) of penile squamous cell carcinoma (PeSCC), usual type and comprehensively characterized here. Our in-depth characterization analysis of the Penl1 cell line included morphology, tumorigenicity, genetic characteristics, protein expression, biology, and chemosensitivity. Penl1 was authenticated by single tandem repeat (STR) DNA typing.
Results: Comparative histomorphology, genetic characteristics, and protein expression patterns revealed essential similarities between the cell line and its corresponding LNM. In-depth characterization analysis of Penl1 cell line revealed tumorigenicity in immunodeficient mice, negative human papilloma virus (HPV) and mycoplasma infection, TP53 mutations and sensitivity to cisplatin and epirubicin. STR DNA typing did not match any cell lines within three international cell banks. The limitation of this study is that one patient cannot represent the complete heterogeneity of PeCa, especially primary tumor.
Conclusions: We established and characterized an HPV-negative and moderately differentiated PeCa cell model with a TP53 missense mutation from a PeSCC, usual type patient. A preliminarily study of carcinogenesis and chemosensitivity suggests that this cell model carries a tumor suppressor gene mutation and is sensitive to chemotherapy drugs.
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http://dx.doi.org/10.18632/oncotarget.10098 | DOI Listing |
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFLung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
Clin Chem Lab Med
January 2025
Section of Clinical Biochemistry, University of Verona, Verona, Italy.
Plast Reconstr Surg
December 2024
Copenhagen University Hospital, Department of Plastic Surgery and Burns Treatment, Rigshospitalet, Copenhagen, Denmark.
Background: Capsular contracture is a frequent and severe complication following breast implant surgery. Although several theories on the pathophysiology exist, the exact molecular mechanisms remain unclear. This study aimed to identify the specific genes, signaling pathways, and immune cells associated with capsular contracture.
View Article and Find Full Text PDFNoise Health
January 2025
School of Medicine, National Yang Ming Chiao Tung University, Taiwan.
Objective: This study investigated the long-term health risks associated with occupational noise exposure. By using 9 years of health examination data from a major manufacturing company in Taiwan, this study compared the health indices of employees in noise-intensive and non-noise-intensive work environments.
Methods: A retrospective analysis of 6278 health examination reports spanning 9 years was conducted to compare 20 health indices among 166 employees evenly distributed between noise-intensive and non-noise-intensive workgroups.
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