Purpose: Lung adenocarcinomas among never-smokers are more common in females than in males. This implies that gender-dependent hormones promote smoking unrelated lung adenocarcinoma. We therefore investigated mRNA expression of aromatase, an intrinsic estrogen synthetase, in lung adenocarcinoma and assessed its correlation to clinicopathologic factors, including EGFR mutations and postsurgical prognosis.
Experimental Design: Aromatase mRNA expression in primary tumor samples from 110 patients with lung adenocarcinoma was evaluated with qRT-PCR. Inhibitory effects of the aromatase inhibitor exemestane were assessed in lung adenocarcinoma cell lines (11-18 and HCC4006), which have EGFR mutations, separately and combined with EGFR tyrosine kinase inhibitor erlotinib.
Results: Aromatase gene expression was not correlated with patients' clinicopathologic factors, including EGFR mutation status. High aromatase expression was associated with poor prognosis for both recurrence-free survival (P = 0.004) and overall survival (P = 0.003). In addition, the prognostic significance of aromatase expression was limited to females, never-smokers, and patients with EGFR mutations, but not in their counterparts. HCC4006, which has a low aromatase mRNA expression level, was not sensitive to exemestane, either alone or combined with erlotinib. In contrast, growth of 11-18 cells, which have high aromatase expression, was significantly inhibited by exemestane, both alone and combined with erlotinib.
Conclusions: Aromatase is a candidate prognostic factor in patients with lung adenocarcinoma, especially in those with EGFR mutations, and may also be a beneficial therapeutic target in those patients.
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http://dx.doi.org/10.1158/1078-0432.CCR-13-2683 | DOI Listing |
JTO Clin Res Rep
December 2024
Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Introduction: Programmed death-ligand 1 (PD-L1) is the main predictive biomarker used to identify patients with NSCLC who are eligible for treatment with immune checkpoint inhibitors. Despite its utility, the predictive capacity of PD-L1 is limited, necessitating the exploration of supplementary predictive biomarkers. In this report, we describe the prognostic value of / mutation status for overall survival (OS) in patients with NSCLC treated with first-line immunotherapy or combined chemoimmunotherapy.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Background: The aim of this study is to develop deep learning models based on F-fluorodeoxyglucose positron emission tomography/computed tomographic (F-FDG PET/CT) images for predicting individual epidermal growth factor receptor () mutation status in lung adenocarcinoma (LUAD).
Methods: We enrolled 430 patients with non-small-cell lung cancer from two institutions in this study. The advanced Inception V3 model to predict EGFR mutations based on PET/CT images and developed CT, PET, and PET + CT models was used.
J Natl Cancer Cent
December 2024
Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
Immune checkpoint inhibitors (ICIs) have significantly improved outcomes for patients with advanced driver-negative non-small cell lung cancer (NSCLC). However, targeted therapy remains the preferred treatment for advanced driver-positive NSCLC, including cases with epidermal growth factor receptor (EGFR) mutations. Considering the variability in EGFR-mutant NSCLC, including expression levels of programmed cell death ligand 1 (PD-L1), tumor mutation burden (TMB), and other immunological features, the application of immunotherapy in this group is still a subject of investigation.
View Article and Find Full Text PDFTher Adv Med Oncol
December 2024
Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre (PMCC), University Health Network (UHN), 700 University Avenue, 7-812, Toronto, ON M5G 2M9, Canada.
Background: Given advancements in adjuvant treatments for non-small-cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK)-targeted therapies, it is important to consider postoperative targeted therapies for other early-stage oncogene-addicted NSCLC. Exploring baseline outcomes for early-stage NSCLC with these rare mutations is crucial.
Objectives: This study aims to assess relapse-free survival (RFS) and overall survival (OS) in patients with resected early-stage NSCLC with rare targetable driver mutations.
Sci Rep
December 2024
School of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the standard treatment regimen for patients with head and neck squamous cell carcinoma (HNSCC). However, accurately predicting the treatment effectiveness of ICIs for patients at the same TNM stage remains a challenge. In this study, we first combined multi-omics data (mRNA, lncRNA, miRNA, DNA methylation, and somatic mutations) and 10 clustering algorithms, successfully identifying two distinct cancer subtypes (CSs) (CS1 and CS2).
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