Dataset Information

Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma.

ABSTRACT:

Introduction

Despite apparently complete surgical resection, approximately half of resected early-stage lung cancer patients relapse and die of their disease. Adjuvant chemotherapy reduces this risk by only 5% to 8%. Thus, there is a need for better identifying who benefits from adjuvant therapy, the drivers of relapse, and novel targets in this setting.

Methods

RNA sequencing and liquid chromatography/liquid chromatography-mass spectrometry proteomics data were generated from 51 surgically resected non-small cell lung tumors with known recurrence status.

Results

We present a rationale and framework for the incorporation of high-content RNA and protein measurements into integrative biomarkers and show the potential of this approach for predicting risk of recurrence in a group of lung adenocarcinomas. In addition, we characterize the relationship between mRNA and protein measurements in lung adenocarcinoma and show that it is outcome specific.

Conclusions

Our results suggest that mRNA and protein data possess independent biological and clinical importance, which can be leveraged to create higher-powered expression biomarkers.

SUBMITTER: Sharpnack MF

PROVIDER: S-EPMC7135954 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Publications

Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma.

Sharpnack Michael F MF Ranbaduge Nilini N Srivastava Arunima A Cerciello Ferdinando F Codreanu Simona G SG Liebler Daniel C DC Mascaux Celine C Miles Wayne O WO Morris Robert R McDermott Jason E JE Sharpnack James L JL Amann Joseph J Maher Christopher A CA Machiraju Raghu R Wysocki Vicki H VH Govindan Ramaswami R Mallick Parag P Coombes Kevin R KR Huang Kun K Carbone David P DP

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 20180711 10

<h4>Introduction</h4>Despite apparently complete surgical resection, approximately half of resected early-stage lung cancer patients relapse and die of their disease. Adjuvant chemotherapy reduces this risk by only 5% to 8%. Thus, there is a need for better identifying who benefits from adjuvant therapy, the drivers of relapse, and novel targets in this setting.<h4>Methods</h4>RNA sequencing and liquid chromatography/liquid chromatography-mass spectrometry proteomics data were generated from 51 ...[more]

PMID: 30017829

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Project description:BackgroundLung cancer has the highest morbidity and mortality of cancers worldwide. Lung adenocarcinoma (LUAD) is the most common pathological subtype of lung cancer and surgery is its most common treatment. The dysregulated expression of DNA repair genes is found in a variety of cancers and has been shown to affect the origin and progression of these diseases. However, the function of DNA repair genes in surgically-treated LUAD is unclear.MethodsWe sought to determine the association between the signature of DNA repair genes for patients with surgical LUAD and their overall prognosis. We obtained gene expression data and corresponding clinical information of LUAD from The Cancer Genome Atlas (TCGA) database. The differently expressed DNA repair genes of surgically-treated LUAD and normal tissues were identified using the Wilcoxon rank-sum test. We used uni- and multivariate Cox regression analyses to shrink the aberrantly expressed genes, which were then used to construct the prognostic signature and the risk score formula associated with the independent prognosis of surgically-treated LUAD. We used Kaplan-Meier and Cox hazard ratio analyses to confirm the diagnostic and prognostic roles. Two validation sets (GSE31210 and GSE37745) were downloaded from the Gene Expression Omnibus (GEO) and were used to externally verify the prognostic value of the signature. OSluca online database verifies the hazard ratio for the DNA repair genes by which the signature was constructed. We investigated the correlation between the signature of the DNA repair genes and the clinical parameters. The potential molecular mechanisms and pathways of the prognostic signature were explored using Gene Set Enrichment Analysis (GSEA).ResultsWe determined the prognostic signature based on six DNA repair genes (PLK1, FOXM1, PTTG1, CCNO, HIST3H2A, and BLM) and calculated the risk score based on this formula. Patients with surgically-treated LUAD were divided into high-risk and low-risk groups according to the median risk score. The high-risk group showed poorer overall survival than the low-risk group; the signature was used as an independent prognostic indicator and had a greater prognostic value in surgically-treated LUAD. The prognostic value was replicated in GSE31210 and GSE37745. OSluca online database analysis shows that six DNA repair genes were associated with poor prognosis in most lung cancer datasets. The prognostic signature risk score correlated with the pathological stage and smoking status in surgically-treated LUAD. The GSEA of the risk signature in high-risk patients showed pathways associated with the cell cycle, oocyte meiosis, mismatch repair, homologous recombination, and nucleotide excision repair.ConclusionsA six-DNA repair gene signature was determined using TCGA data mining and GEO data verification. The gene signature may serve as a novel prognostic biomarker and therapeutic target for surgically-treated LUAD.

Dataset Information

Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma.

Introduction

Methods

Results

Conclusions

Publications

Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma.

Similar Datasets

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