Background: Lung cancer has become one of the leading causes of cancer deaths worldwide. EGFR gene mutation has been reported in up to 60% of Asian populations and is currently one of the main targets for genotype-targeted therapy for NSCLC.
Objective: The objective is to determine if a complex model combining serum tumor makers and computed tomographic (CT) features can predict epidermal growth factor receptor (EGFR) mutation with higher accuracy. . Retrospective analysis of the data of patients diagnosed with in nonsmall cell lung cancer (NSCLC) by EGFR gene testing was carried out in the Department of Thoracic Surgery, Jinan Central Hospital. Multivariate logistic regression analysis was used to determine the independent predictors of EGFR mutations, and logistic regression prediction models were developed. The subject operating characteristic curve (ROC) was plotted, and the area under the curve (AUC) was calculated to assess the accuracy and clinical application of the EGFR mutation prediction model.
Results: Logistic regression analysis identified the predictive factors of EGFR mutation including nonsmoking, high expression level of Carcinoembryonic Antigen (CEA), low expression level of cytokeratin 19 fragments (CYFRA21-1), and subsolid density containing ground-glass opacity (GGO) component. Using the results of multivariate logistic regression analysis, we built a statistically determined clinical prediction model. The AUC of the complex prediction model increased significantly from 0.735 to 0.813 ( 0.014) when CT features are added and from 0.612 to 0.813 ( < 0.001) when serum variables are added. When was 0.441, the sensitivity was 86.7% and the specificity was 65.8%.
Conclusion: A complex model combining serum tumor makers and CT features is more accurate in predicting EGFR mutation status in NSCLC patients than using either serum variables or imaging features alone. Our finding for EGFR mutation is urgently needed and helpful in clinical practice.
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http://dx.doi.org/10.1155/2022/8089750 | DOI Listing |
Cureus
December 2024
Clinical Research, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Background Lung cancer is the most frequent cause of cancer-related deaths and the most common type of cancer globally. It is generally classified into two main histologic subtypes: non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). NSCLC is the most prevalent type and is enriched with genetic and molecular diversity.
View Article and Find Full Text PDFMol Cancer Res
January 2025
Cleveland Clinic, Cleveland, OH, United States.
Epidermal growth factor receptor (EGFR) is a highly expressed driver of many cancers, yet the utility of EGFR inhibitors is limited to cancers that harbor sensitizing mutations in the EGFR gene due to dose limiting toxicities. Rather than conventionally blocking the kinase activity of EGFR, we sought to reduce its transcription as an alternative approach to broaden the therapeutic window for EGFR inhibitors targeting wildtype or mutant EGFR. We found that YES1 is highly expressed in triple negative breast cancer (TNBC) and drives cell growth by elevating EGFR levels.
View Article and Find Full Text PDFInvest New Drugs
January 2025
Department of Clinical Oncology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
Background: The RELAY-Brain trial examined the clinical utility and survival impacts of ramucirumab (RAM) combined with epidermal growth factor receptor (EGFR)-TKI in patients with EGFR-mutated non-small-cell lung cancer (NSCLC) with brain metastases. Although RAM combined with erlotinib (ERL) is known to have clinical benefits, the benefits in patients with baseline brain metastases remain unclear. This report examined the long-term follow-up data (Japan Registry of Clinical Trials: jRCTs2051190027) of the same patients, analyzing relevant biomarkers from tumor and plasma samples.
View Article and Find Full Text PDFAnticancer Drugs
January 2025
Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning.
Uncommon atypical mutations account for 10-15% of all epidermal growth factor receptor (EGFR) activating mutations in nonsmall-cell lung cancer (NSCLC). Tumors harboring rare EGFR mutations show highly heterogeneous responses to EGFR tyrosine kinase inhibitors (TKIs). There is insufficient clinical evidence for uncommon types of EGFR mutations, especially those with compound EGFR mutations.
View Article and Find Full Text PDFHeliyon
January 2025
First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, PR China.
Background: The incidence and mortality of lung cancer are high, and treatment with epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) is the preferred first-line treatment for patients suffering from non-small cell lung cancer (NSCLC) with EGFR mutations. However, EGFR-TKI resistance leads to treatment failure. Yifei-Sanjie pill (YFSJ) is a novel type of Chinese patent medicine for lung cancer.
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