Purpose: Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) have demonstrated efficacy in treating advanced non-small-cell lung cancer (NSCLC). Preliminary findings suggested that EGFR-TKIs might also be beneficial in neoadjuvant therapy in treating NSCLC. Therefore, this study aimed to evaluate the efficacy and safety of neoadjuvant therapy with icotinib in patients with early-stage NSCLC.
Patients And Methods: We retrospectively reviewed the medical history of patients who were initially diagnosed with stage IA-IIIA NSCLC and were under icotinib administration before surgery between December 2011 and December 2014. Tumor assessment was conducted between the second and fourth week from initial icotinib treatment. The association between personal characteristics, smoking status, disease stage, EGFR mutation status, and clinical outcomes were investigated using multivariate logistic regression analysis.
Results: A total of 67 patients with NSCLC were reviewed, and approximately half (38/67) of them were identified as having EGFR-mutant tumors. The overall response rate of all patients was 26.7% at 2-4 weeks' assessment. Multivariate analysis showed that female sex (38.5% versus 10.7% in males, P=0.028) and EGFR mutation status (42.1% versus 6.9% in EGFR wild type, P=0.011) were independent predictive factors. The analysis also showed that the most common adverse effects were rash (43.3%) and dry skin (34.4%), which were tolerable.
Conclusion: Icotinib induced clinical response with minimal toxicity as neoadjuvant treatment in early NSCLC, especially in patients with common EGFR mutations. Further studies are warranted to confirm our findings.
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http://dx.doi.org/10.2147/OTT.S93823 | DOI Listing |
OMICS
January 2025
Department of Biotechnology, Brainware University, Barasat, West Bengal, India.
Next-generation cancer phenomics by deployment of multiple molecular endophenotypes coupled with high-throughput analyses of gene expression offer veritable opportunities for triangulation of discovery findings in non-small cell lung cancer (NSCLC) research. This study reports differentially expressed genes in NSCLC using publicly available datasets (GSE18842 and GSE229253), uncovering 130 common genes that may potentially represent crucial molecular signatures of NSCLC. Additionally, network analyses by GeneMANIA and STRING revealed significant coexpression and interaction patterns among these genes, with four notable hub genes-, , and -identified as pivotal in NSCLC progression.
View Article and Find Full Text PDFDiagn Interv Radiol
January 2025
Huadong Hospital, Fudan University, Department of Thoracic Surgery, Shanghai, China.
Purpose: Patients with advanced non-small cell lung cancer (NSCLC) have varying responses to immunotherapy, but there are no reliable, accepted biomarkers to accurately predict its therapeutic efficacy. The present study aimed to construct individualized models through automatic machine learning (autoML) to predict the efficacy of immunotherapy in patients with inoperable advanced NSCLC.
Methods: A total of 63 eligible participants were included and randomized into training and validation groups.
Curr Med Chem
January 2025
Shree S K Patel College of Pharmaceutical Education and Research, Ganpat University, Mahesana, Gujarat, 384012, India.
Therapeutic hurdles persist in the fight against lung cancer, although it is a leading cause of cancer-related deaths worldwide. Results are still not up to par, even with the best efforts of conventional medicine, thus new avenues of investigation are required. Examining how immunotherapy, precision medicine, and AI are being used to manage lung cancer, this review shows how these tools can change the game for patients and increase their chances of survival.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
Department of Pathology, Faculty of Medicine, Hunan University of Chinese Medicine, Changsha, China.
Background: In cuproptosis, excess copper ions induce cell death via fatty acylation in the tricarboxylic acid (TCA) cycle. However, the effects of cuproptosis-TCA-related long non-coding RNAs (lncRNAs) on the clinical prognosis of non-small cell lung cancer (NSCLC) and the associated tumor microenvironment remain unclear. The purpose of this study is to use cuproptosis-TCA related lncRNAs to predict the prognosis of NSCLC.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
Department of Oncology, Guangzhou First People's Hospital, Guangzhou, China.
Background: In the clinic, the primary conventional treatments of advanced non-small cell lung cancer (NSCLC) are surgery, radiation therapy, and chemotherapy. In recent years, immune checkpoint inhibitors (ICIs) have shown promise in optimizing therapeutic benefits when combined with other immunotherapies or standard therapies. However, effective biomarkers for distant metastasis or recurrence have yet to be identified, making it difficult to determine the best therapeutic approaches.
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