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p52 expression enhances lung cancer progression.
Saxon JA, Yu H, Polosukhin VV, Stathopoulos GT, Gleaves LA, McLoed AG, Massion PP, Yull FE, Zhao Z, Blackwell TS
(2018) Sci Rep 8: 6078
MeSH Terms: Adenocarcinoma of Lung, Animals, Cell Proliferation, Disease Progression, Gene Expression, Gene Expression Regulation, Neoplastic, Humans, Lung, Lung Neoplasms, Mice, Transgenic, Middle Aged, NF-kappa B p52 Subunit, Prognosis, Tumor Burden
Show Abstract · Added May 29, 2018
While many studies have demonstrated that canonical NF-κB signaling is a central pathway in lung tumorigenesis, the role of non-canonical NF-κB signaling in lung cancer remains undefined. We observed frequent nuclear accumulation of the non-canonical NF-κB component p100/p52 in human lung adenocarcinoma. To investigate the impact of non-canonical NF-κB signaling on lung carcinogenesis, we employed transgenic mice with doxycycline-inducible expression of p52 in airway epithelial cells. p52 over-expression led to increased tumor number and progression after injection of the carcinogen urethane. Gene expression analysis of lungs from transgenic mice combined with in vitro studies suggested that p52 promotes proliferation of lung epithelial cells through regulation of cell cycle-associated genes. Using gene expression and patient information from The Cancer Genome Atlas (TCGA) database, we found that expression of p52-associated genes was increased in lung adenocarcinomas and correlated with reduced survival, even in early stage disease. Analysis of p52-associated gene expression in additional human lung adenocarcinoma datasets corroborated these findings. Together, these studies implicate the non-canonical NF-κB component p52 in lung carcinogenesis and suggest modulation of p52 activity and/or downstream mediators as new therapeutic targets.
1 Communities
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14 MeSH Terms
IκB Kinase α Is Required for Development and Progression of -Mutant Lung Adenocarcinoma.
Vreka M, Lilis I, Papageorgopoulou M, Giotopoulou GA, Lianou M, Giopanou I, Kanellakis NI, Spella M, Agalioti T, Armenis V, Goldmann T, Marwitz S, Yull FE, Blackwell TS, Pasparakis M, Marazioti A, Stathopoulos GT
(2018) Cancer Res 78: 2939-2951
MeSH Terms: A549 Cells, Adenocarcinoma of Lung, Animals, Cell Line, Cell Line, Tumor, Disease Progression, HEK293 Cells, Humans, I-kappa B Kinase, Lung Neoplasms, Mice, Mice, Inbred C57BL, NF-kappa B, Protein-Serine-Threonine Kinases, Proto-Oncogene Proteins p21(ras), Signal Transduction
Show Abstract · Added March 31, 2020
Although oncogenic activation of NFκB has been identified in various tumors, the NFκB-activating kinases (inhibitor of NFκB kinases, IKK) responsible for this are elusive. In this study, we determined the role of IKKα and IKKβ in -mutant lung adenocarcinomas induced by the carcinogen urethane and by respiratory epithelial expression of oncogenic Using NFκB reporter mice and conditional deletions of IKKα and IKKβ, we identified two distinct early and late activation phases of NFκB during chemical and genetic lung adenocarcinoma development, which were characterized by nuclear translocation of B, IκBβ, and IKKα in tumor-initiated cells. IKKα was a cardinal tumor promoter in chemical and genetic -mutant lung adenocarcinoma, and respiratory epithelial IKKα-deficient mice were markedly protected from the disease. IKKα specifically cooperated with mutant for tumor induction in a cell-autonomous fashion, providing mutant cells with a survival advantage and IKKα was highly expressed in human lung adenocarcinoma, and a heat shock protein 90 inhibitor that blocks IKK function delivered superior effects against -mutant lung adenocarcinoma compared with a specific IKKβ inhibitor. These results demonstrate an actionable requirement for IKKα in -mutant lung adenocarcinoma, marking the kinase as a therapeutic target against this disease. These findings report a novel requirement for IKKα in mutant lung tumor formation, with potential therapeutic applications. .
©2018 American Association for Cancer Research.
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MeSH Terms
Gene and MicroRNA Perturbations of Cellular Response to Pemetrexed Implicate Biological Networks and Enable Imputation of Response in Lung Adenocarcinoma.
Gamazon ER, Trendowski MR, Wen Y, Wing C, Delaney SM, Huh W, Wong S, Cox NJ, Dolan ME
(2018) Sci Rep 8: 733
MeSH Terms: Adenocarcinoma, Adenocarcinoma of Lung, Antineoplastic Agents, Cell Line, Tumor, Drug Resistance, Epithelial Cells, Gene Expression Profiling, Gene Expression Regulation, Humans, Lung Neoplasms, Lymphocytes, MicroRNAs, Models, Biological, Pemetrexed
Show Abstract · Added March 15, 2018
Pemetrexed is indicated for non-small cell lung carcinoma and mesothelioma, but often has limited efficacy due to drug resistance. To probe the molecular mechanisms underlying chemotherapeutic response, we performed mRNA and microRNA (miRNA) expression profiling of pemetrexed treated and untreated lymphoblastoid cell lines (LCLs) and applied a hierarchical Bayesian method. We identified genetic variation associated with gene expression in human lung tissue for the most significant differentially expressed genes (Benjamini-Hochberg [BH] adjusted p < 0.05) using the Genotype-Tissue Expression data and found evidence for their clinical relevance using integrated molecular profiling and lung adenocarcinoma survival data from The Cancer Genome Atlas project. We identified 39 miRNAs with significant differential expression (BH adjusted p < 0.05) in LCLs. We developed a gene expression based imputation model of drug sensitivity, quantified its prediction performance, and found a significant correlation of the imputed phenotype generated from expression data with survival time in lung adenocarcinoma patients. Differentially expressed genes (MTHFD2 and SUFU) that are putative targets of differentially expressed miRNAs also showed differential perturbation in A549 fusion lung tumor cells with further replication in A549 cells. Our study suggests pemetrexed may be used in combination with agents that target miRNAs to increase its cytotoxicity.
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14 MeSH Terms
The Impact of Smoking and TP53 Mutations in Lung Adenocarcinoma Patients with Targetable Mutations-The Lung Cancer Mutation Consortium (LCMC2).
Aisner DL, Sholl LM, Berry LD, Rossi MR, Chen H, Fujimoto J, Moreira AL, Ramalingam SS, Villaruz LC, Otterson GA, Haura E, Politi K, Glisson B, Cetnar J, Garon EB, Schiller J, Waqar SN, Sequist LV, Brahmer J, Shyr Y, Kugler K, Wistuba II, Johnson BE, Minna JD, Kris MG, Bunn PA, Kwiatkowski DJ, LCMC2 investigators
(2018) Clin Cancer Res 24: 1038-1047
MeSH Terms: Adenocarcinoma of Lung, Adult, Aged, Aged, 80 and over, Antineoplastic Agents, Biomarkers, Tumor, Carcinogenesis, DNA Mutational Analysis, Female, High-Throughput Nucleotide Sequencing, Humans, Lung Neoplasms, Male, Middle Aged, Molecular Targeted Therapy, Mutation, Prognosis, Prospective Studies, Smoking, Survival Analysis, Treatment Outcome, Tumor Suppressor Protein p53, Young Adult
Show Abstract · Added April 3, 2018
Multiplex genomic profiling is standard of care for patients with advanced lung adenocarcinomas. The Lung Cancer Mutation Consortium (LCMC) is a multi-institutional effort to identify and treat oncogenic driver events in patients with lung adenocarcinomas. Sixteen U.S. institutions enrolled 1,367 patients with lung cancer in LCMC2; 904 were deemed eligible and had at least one of 14 cancer-related genes profiled using validated methods including genotyping, massively parallel sequencing, and IHC. The use of targeted therapies in patients with or p.V600E mutations, , or rearrangements, or amplification was associated with a survival increment of 1.5 years compared with those with such mutations not receiving targeted therapy, and 1.0 year compared with those lacking a targetable driver. Importantly, 60 patients with a history of smoking derived similar survival benefit from targeted therapy for alterations in //, when compared with 75 never smokers with the same alterations. In addition, coexisting mutations were associated with shorter survival among patients with , or alterations. Patients with adenocarcinoma of the lung and an oncogenic driver mutation treated with effective targeted therapy have a longer survival, regardless of prior smoking history. Molecular testing should be performed on all individuals with lung adenocarcinomas irrespective of clinical characteristics. Routine use of massively parallel sequencing enables detection of both targetable driver alterations and tumor suppressor gene and other alterations that have potential significance for therapy selection and as predictive markers for the efficacy of treatment. .
©2017 American Association for Cancer Research.
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23 MeSH Terms
Identification of Proteomic Features To Distinguish Benign Pulmonary Nodules from Lung Adenocarcinoma.
Codreanu SG, Hoeksema MD, Slebos RJC, Zimmerman LJ, Rahman SMJ, Li M, Chen SC, Chen H, Eisenberg R, Liebler DC, Massion PP
(2017) J Proteome Res 16: 3266-3276
MeSH Terms: 5-Lipoxygenase-Activating Proteins, Adenocarcinoma, Adenocarcinoma of Lung, Adult, Aged, Antigens, CD, Arachidonate 5-Lipoxygenase, Biomarkers, Tumor, CD11 Antigens, Cell Adhesion Molecules, Diagnosis, Differential, Female, GPI-Linked Proteins, Gene Expression Regulation, Neoplastic, Glucose Transporter Type 3, Humans, Integrin alpha Chains, Lung Neoplasms, Male, Middle Aged, Neoplasm Proteins, Proteomics, Respiratory Mucosa, Solitary Pulmonary Nodule, Tandem Mass Spectrometry, Tissue Array Analysis, Transcriptome
Show Abstract · Added January 29, 2018
We hypothesized that distinct protein expression features of benign and malignant pulmonary nodules may reveal novel candidate biomarkers for the early detection of lung cancer. We performed proteome profiling by liquid chromatography-tandem mass spectrometry to characterize 34 resected benign lung nodules, 24 untreated lung adenocarcinomas (ADCs), and biopsies of bronchial epithelium. Group comparisons identified 65 proteins that differentiate nodules from ADCs and normal bronchial epithelium and 66 proteins that differentiate ADCs from nodules and normal bronchial epithelium. We developed a multiplexed parallel reaction monitoring (PRM) assay to quantify a subset of 43 of these candidate biomarkers in an independent cohort of 20 benign nodules, 21 ADCs, and 20 normal bronchial biopsies. PRM analyses confirmed significant nodule-specific abundance of 10 proteins including ALOX5, ALOX5AP, CCL19, CILP1, COL5A2, ITGB2, ITGAX, PTPRE, S100A12, and SLC2A3 and significant ADC-specific abundance of CEACAM6, CRABP2, LAD1, PLOD2, and TMEM110-MUSTN1. Immunohistochemistry analyses for seven selected proteins performed on an independent set of tissue microarrays confirmed nodule-specific expression of ALOX5, ALOX5AP, ITGAX, and SLC2A3 and cancer-specific expression of CEACAM6. These studies illustrate the value of global and targeted proteomics in a systematic process to identify and qualify candidate biomarkers for noninvasive molecular diagnosis of lung cancer.
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27 MeSH Terms
Association between GWAS-identified lung adenocarcinoma susceptibility loci and EGFR mutations in never-smoking Asian women, and comparison with findings from Western populations.
Seow WJ, Matsuo K, Hsiung CA, Shiraishi K, Song M, Kim HN, Wong MP, Hong YC, Hosgood HD, Wang Z, Chang IS, Wang JC, Chatterjee N, Tucker M, Wei H, Mitsudomi T, Zheng W, Kim JH, Zhou B, Caporaso NE, Albanes D, Shin MH, Chung LP, An SJ, Wang P, Zheng H, Yatabe Y, Zhang XC, Kim YT, Shu XO, Kim YC, Bassig BA, Chang J, Ho JC, Ji BT, Kubo M, Daigo Y, Ito H, Momozawa Y, Ashikawa K, Kamatani Y, Honda T, Sakamoto H, Kunitoh H, Tsuta K, Watanabe SI, Nokihara H, Miyagi Y, Nakayama H, Matsumoto S, Tsuboi M, Goto K, Yin Z, Shi J, Takahashi A, Goto A, Minamiya Y, Shimizu K, Tanaka K, Wu T, Wei F, Wong JY, Matsuda F, Su J, Kim YH, Oh IJ, Song F, Lee VH, Su WC, Chen YM, Chang GC, Chen KY, Huang MS, Yang PC, Lin HC, Xiang YB, Seow A, Park JY, Kweon SS, Chen CJ, Li H, Gao YT, Wu C, Qian B, Lu D, Liu J, Jeon HS, Hsiao CF, Sung JS, Tsai YH, Jung YJ, Guo H, Hu Z, Wang WC, Chung CC, Lawrence C, Burdett L, Yeager M, Jacobs KB, Hutchinson A, Berndt SI, He X, Wu W, Wang J, Li Y, Choi JE, Park KH, Sung SW, Liu L, Kang CH, Hu L, Chen CH, Yang TY, Xu J, Guan P, Tan W, Wang CL, Sihoe AD, Chen Y, Choi YY, Hung JY, Kim JS, Yoon HI, Cai Q, Lin CC, Park IK, Xu P, Dong J, Kim C, He Q, Perng RP, Chen CY, Vermeulen R, Wu J, Lim WY, Chen KC, Chan JK, Chu M, Li YJ, Li J, Chen H, Yu CJ, Jin L, Lo YL, Chen YH, Fraumeni JF, Liu J, Yamaji T, Yang Y, Hicks B, Wyatt K, Li SA, Dai J, Ma H, Jin G, Song B, Wang Z, Cheng S, Li X, Ren Y, Cui P, Iwasaki M, Shimazu T, Tsugane S, Zhu J, Jiang G, Fei K, Wu G, Chien LH, Chen HL, Su YC, Tsai FY, Chen YS, Yu J, Stevens VL, Laird-Offringa IA, Marconett CN, Lin D, Chen K, Wu YL, Landi MT, Shen H, Rothman N, Kohno T, Chanock SJ, Lan Q
(2017) Hum Mol Genet 26: 454-465
MeSH Terms: Adenocarcinoma, Adenocarcinoma of Lung, Antigens, Nuclear, Asian Continental Ancestry Group, Butyrophilins, Case-Control Studies, ErbB Receptors, European Continental Ancestry Group, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Germ-Line Mutation, HLA-DP beta-Chains, Humans, Lung Neoplasms, Male, Membrane Proteins, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Sex Characteristics, Smoking, Transcription Factors
Show Abstract · Added April 3, 2018
To evaluate associations by EGFR mutation status for lung adenocarcinoma risk among never-smoking Asian women, we conducted a meta-analysis of 11 loci previously identified in genome-wide association studies (GWAS). Genotyping in an additional 10,780 never-smoking cases and 10,938 never-smoking controls from Asia confirmed associations with eight known single nucleotide polymorphisms (SNPs). Two new signals were observed at genome-wide significance (P < 5 × 10-8), namely, rs7216064 (17q24.3, BPTF), for overall lung adenocarcinoma risk, and rs3817963 (6p21.3, BTNL2) which is specific to cases with EGFR mutations. In further sub-analyses by EGFR status, rs9387478 (ROS1/DCBLD1) and rs2179920 (HLA-DPB1) showed stronger estimated associations in EGFR-positive compared to EGFR-negative cases. Comparison of the overall associations with published results in Western populations revealed that the majority of these findings were distinct, underscoring the importance of distinct contributing factors for smoking and non-smoking lung cancer. Our results extend the catalogue of regions associated with lung adenocarcinoma in non-smoking Asian women and highlight the importance of how the germline could inform risk for specific tumour mutation patterns, which could have important translational implications.
Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the US.
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23 MeSH Terms
Mutational landscape of EGFR-, MYC-, and Kras-driven genetically engineered mouse models of lung adenocarcinoma.
McFadden DG, Politi K, Bhutkar A, Chen FK, Song X, Pirun M, Santiago PM, Kim-Kiselak C, Platt JT, Lee E, Hodges E, Rosebrock AP, Bronson RT, Socci ND, Hannon GJ, Jacks T, Varmus H
(2016) Proc Natl Acad Sci U S A 113: E6409-E6417
MeSH Terms: Adenocarcinoma, Adenocarcinoma of Lung, Animals, Carcinogens, Cell Transformation, Neoplastic, DNA Copy Number Variations, DNA Mutational Analysis, Disease Models, Animal, ErbB Receptors, Gene Dosage, Genes, myc, Genes, ras, Genome-Wide Association Study, Lung Neoplasms, Mice, Mice, Transgenic, Mutation, Point Mutation, ROC Curve, Whole Exome Sequencing
Show Abstract · Added April 26, 2017
Genetically engineered mouse models (GEMMs) of cancer are increasingly being used to assess putative driver mutations identified by large-scale sequencing of human cancer genomes. To accurately interpret experiments that introduce additional mutations, an understanding of the somatic genetic profile and evolution of GEMM tumors is necessary. Here, we performed whole-exome sequencing of tumors from three GEMMs of lung adenocarcinoma driven by mutant epidermal growth factor receptor (EGFR), mutant Kirsten rat sarcoma viral oncogene homolog (Kras), or overexpression of MYC proto-oncogene. Tumors from EGFR- and Kras-driven models exhibited, respectively, 0.02 and 0.07 nonsynonymous mutations per megabase, a dramatically lower average mutational frequency than observed in human lung adenocarcinomas. Tumors from models driven by strong cancer drivers (mutant EGFR and Kras) harbored few mutations in known cancer genes, whereas tumors driven by MYC, a weaker initiating oncogene in the murine lung, acquired recurrent clonal oncogenic Kras mutations. In addition, although EGFR- and Kras-driven models both exhibited recurrent whole-chromosome DNA copy number alterations, the specific chromosomes altered by gain or loss were different in each model. These data demonstrate that GEMM tumors exhibit relatively simple somatic genotypes compared with human cancers of a similar type, making these autochthonous model systems useful for additive engineering approaches to assess the potential of novel mutations on tumorigenesis, cancer progression, and drug sensitivity.
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20 MeSH Terms
MiR-374a suppresses lung adenocarcinoma cell proliferation and invasion by targeting TGFA gene expression.
Wu H, Liu Y, Shu XO, Cai Q
(2016) Carcinogenesis 37: 567-75
MeSH Terms: 3' Untranslated Regions, Adenocarcinoma, Adenocarcinoma of Lung, Antibodies, Neutralizing, Cell Line, Tumor, Cell Movement, Cell Proliferation, Gene Expression Regulation, Neoplastic, Humans, Lung, Lung Neoplasms, MicroRNAs, Transforming Growth Factor alpha
Show Abstract · Added April 3, 2018
Aberrant expression of miR-374a has been reported in several types of human cancers, including lung cancer. However, the functional significance and molecular mechanisms underlying the role of miR-374a in lung cancer remain largely unknown. We found that the expression of miR-374a was significantly downregulated in lung adenocarcinoma tissues compared to adjacent normal lung tissues in samples included in The Cancer Genome Atlas. Functional studies revealed that overexpression of miR-374a led to inhibition of lung adenocarcinoma cell proliferation, migration and invasion and that miR-374a negatively regulated transforming growth factor-alpha (TGFA) gene expression by directly targeting the 3'-UTR of TGFA mRNA. Treating lung adenocarcinoma cells with TGF-α neutralizing antibody resulted in suppression of cell proliferation and invasion, which mimicked the action of miR-374a. Additionally, TGFA gene expression was significantly higher in tumor tissues compared to adjacent normal tissue and high TGFA gene expression strongly correlated with poor survival in patients with lung adenocarcinoma. Taken together, our studies suggest that miR-374a suppresses lung adenocarcinoma cell proliferation and invasion via targeting TGFA gene expression. Our findings may provide novel treatment strategies for lung adenocarcinoma patients.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
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13 MeSH Terms
MicroRNA-31 initiates lung tumorigenesis and promotes mutant KRAS-driven lung cancer.
Edmonds MD, Boyd KL, Moyo T, Mitra R, Duszynski R, Arrate MP, Chen X, Zhao Z, Blackwell TS, Andl T, Eischen CM
(2016) J Clin Invest 126: 349-64
MeSH Terms: Adenocarcinoma, Adenocarcinoma of Lung, Animals, Cell Line, Tumor, Female, Humans, Lung Neoplasms, MAP Kinase Signaling System, Male, Mice, MicroRNAs, Mutation, NIH 3T3 Cells, Proto-Oncogene Proteins p21(ras), ras Proteins
Show Abstract · Added February 22, 2016
MicroRNA (miR) are important regulators of gene expression, and aberrant miR expression has been linked to oncogenesis; however, little is understood about their contribution to lung tumorigenesis. Here, we determined that miR-31 is overexpressed in human lung adenocarcinoma and this overexpression independently correlates with decreased patient survival. We developed a transgenic mouse model that allows for lung-specific expression of miR-31 to test the oncogenic potential of miR-31 in the lung. Using this model, we observed that miR-31 induction results in lung hyperplasia, followed by adenoma formation and later adenocarcinoma development. Moreover, induced expression of miR-31 in mice cooperated with mutant KRAS to accelerate lung tumorigenesis. We determined that miR-31 regulates lung epithelial cell growth and identified 6 negative regulators of RAS/MAPK signaling as direct targets of miR-31. Our study distinguishes miR-31 as a driver of lung tumorigenesis that promotes mutant KRAS-mediated oncogenesis and reveals that miR-31 directly targets and reduces expression of negative regulators of RAS/MAPK signaling.
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15 MeSH Terms
Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial.
Maldonado F, Duan F, Raghunath SM, Rajagopalan S, Karwoski RA, Garg K, Greco E, Nath H, Robb RA, Bartholmai BJ, Peikert T
(2015) Am J Respir Crit Care Med 192: 737-44
MeSH Terms: Adenocarcinoma, Adenocarcinoma of Lung, Aged, Aged, 80 and over, Clinical Decision-Making, Decision Support Techniques, Early Detection of Cancer, Female, Humans, Lung Neoplasms, Male, Middle Aged, Radiographic Image Interpretation, Computer-Assisted, Retrospective Studies, Risk Assessment, Single-Blind Method, Survival Analysis, Tomography, X-Ray Computed
Show Abstract · Added July 28, 2015
RATIONALE - Screening for lung cancer using low-dose computed tomography (CT) reduces lung cancer mortality. However, in addition to a high rate of benign nodules, lung cancer screening detects a large number of indolent cancers that generally belong to the adenocarcinoma spectrum. Individualized management of screen-detected adenocarcinomas would be facilitated by noninvasive risk stratification.
OBJECTIVES - To validate that Computer-Aided Nodule Assessment and Risk Yield (CANARY), a novel image analysis software, successfully risk stratifies screen-detected lung adenocarcinomas based on clinical disease outcomes.
METHODS - We identified retrospective 294 eligible patients diagnosed with lung adenocarcinoma spectrum lesions in the low-dose CT arm of the National Lung Screening Trial. The last low-dose CT scan before the diagnosis of lung adenocarcinoma was analyzed using CANARY blinded to clinical data. Based on their parametric CANARY signatures, all the lung adenocarcinoma nodules were risk stratified into three groups. CANARY risk groups were compared using survival analysis for progression-free survival.
MEASUREMENTS AND MAIN RESULTS - A total of 294 patients were included in the analysis. Kaplan-Meier analysis of all the 294 adenocarcinoma nodules stratified into the Good, Intermediate, and Poor CANARY risk groups yielded distinct progression-free survival curves (P < 0.0001). This observation was confirmed in the unadjusted and adjusted (age, sex, race, and smoking status) progression-free survival analysis of all stage I cases.
CONCLUSIONS - CANARY allows the noninvasive risk stratification of lung adenocarcinomas into three groups with distinct post-treatment progression-free survival. Our results suggest that CANARY could ultimately facilitate individualized management of incidentally or screen-detected lung adenocarcinomas.
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18 MeSH Terms