Objective: The most common histopathological subtype of lung cancer is adenocarcinoma. MicroRNAs are a class of non-coding RNAs that play roles in the regulation of gene expression. MicroRNAs affecting apoptosis may have different roles in lung adenocarcinoma development, progression, and differentiation. The objective of this study is to profile all known microRNAs linked to apoptosis in normal and lung cancer tissue using real-time polymerase chain reaction.
Material And Methods: Tissues with adenocarcinoma and healthy tissues were taken from the same lung. The degree of differentiation of all tumors was determined. Expressions of 84 apoptosis-associated microRNAs in both tissues were analyzed by real-time polymerase chain reaction array.
Results: Eleven patients and 22 samples were included in the study. In the comparison of expression levels of apoptosis-associated microRNAs in normal and adenocarcinoma tissue, miR-134, miR-183-5p, miR-192-5p, miR-193b-3, miR-194-5p, miR-200c-3, miR212-3p, miR-25-3p, miR-449a, and miR-9-5p showed significant difference in downregulation. Receiver operating characteristic curve analysis of 10 identified microRNAs was performed, and cut-off values, sensitivity, and specificity were determined. No significant difference was found between microRNA expression levels in adenocarcinoma tissues classified as moderate-well to poorly differentiated.
Conclusion: Differently, downregulated expressed apoptosis-associated microRNAs were detected in lung adenocarcinoma tissues. MicroRNAs can be used as biomarkers in the diagnosis in lung adenocarcinoma. The expression of microRNAs linked to apoptosis should be investigated in different lung cancer histological subtypes in order to identify potential biomarkers.
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http://dx.doi.org/10.5152/ThoracResPract.2023.22063 | DOI Listing |
Eur J Radiol Open
June 2025
Department of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba 277-8577, Japan.
Purpose: The potential of spectral images, particularly electron density and effective Z-images, generated by dual-energy computed tomography (DECT), for the histopathologic classification of lung cancer remains unclear. This study aimed to explore which imaging factors could better reflect the histopathological status of lung cancer.
Method: The data of 31 patients who underwent rapid kV-switching DECT and subsequently underwent surgery for lung cancer were analyzed.
Cureus
December 2024
Pulmonology, King Abdulaziz Medical City, Jeddah, SAU.
A 52-year-old female patient with a history of atrial septal defect repair presented with progressive dyspnea and echocardiographic findings suggestive of pulmonary hypertension (PH). Incidentally, a lung mass was discovered on computed tomography (CT). Initial evaluation revealed World Health Organization functional class III symptoms and significant weight loss.
View Article and Find Full Text PDFBackground: Lung cancer continues to be the primary cause of cancer-related deaths globally, with the majority of cases identified at advanced stages. Genetic alterations, including mutations and gene fusions, are central to its molecular pathogenesis. The discovery of therapeutically targetable gene fusions, such as ALK, RET, ROS1, and NTRK1, has significantly advanced lung cancer management.
View Article and Find Full Text PDFCancer Cell Int
January 2025
Department of Immuno-Oncology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, 510080, China.
Background: Patients with lung adenocarcinoma (LUAD) receiving drug treatment often have an unpredictive response and there is a lack of effective methods to predict treatment outcome for patients. Dendritic cells (DCs) play a significant role in the tumor microenvironment and the DCs-related gene signature may be used to predict treatment outcome. Here, we screened for DC-related genes to construct a prognostic signature to predict prognosis and response to immunotherapy in LUAD patients.
View Article and Find Full Text PDFActa Pharmacol Sin
January 2025
Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.
The emergence of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) has improved the prognosis for lung cancer patients with EGFR-driven mutations. However, acquired resistance to EGFR-TKIs poses a significant challenge to the treatment. Overcoming the resistance has primarily focused on developing next-generation targeted therapies based on the molecular mechanisms of resistance or inhibiting the activation of bypass pathways to suppress or reverse the resistance.
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