Related Experiment Video
Updated: Feb 7, 2026

Orthotopic Transplantation of Syngeneic Lung Adenocarcinoma Cells to Study PD-L1 Expression
Published on: January 19, 2019
Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma
Michael F Sharpnack1, Nilini Ranbaduge2, Arunima Srivastava3
1Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
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.
Insights
Integrating RNA and protein data improves lung cancer recurrence prediction. This approach helps identify patients who benefit from adjuvant therapy, addressing a critical need in early-stage non-small cell lung cancer treatment.
Area of Science:
- Oncology
- Molecular Biology
- Biomarker Discovery
Background:
- Early-stage lung cancer patients often relapse despite surgery.
- Current adjuvant chemotherapy offers limited benefit (5-8% risk reduction).
- Improved methods are needed to predict recurrence and identify therapeutic targets.
Purpose of the Study:
- To develop and validate integrative biomarkers using RNA and protein data.
- To assess the potential of these biomarkers for predicting recurrence risk in lung adenocarcinoma.
- To characterize the relationship between mRNA and protein expression and its impact on outcomes.
Main Methods:
- Generated RNA sequencing and proteomics data from 51 surgically resected non-small cell lung tumors.
- Correlated molecular data with patient recurrence status.
- Analyzed the interplay between mRNA and protein measurements.
Main Results:
- Demonstrated the potential of integrated RNA and protein measurements for predicting recurrence risk.
- Showcased that mRNA and protein data have independent biological and clinical significance.
- Identified outcome-specific relationships between mRNA and protein levels in lung adenocarcinoma.
Conclusions:
- Integrated expression biomarkers can enhance prediction power.
- Leveraging both mRNA and protein data offers a more robust approach to risk stratification.
- This strategy can aid in personalizing adjuvant therapy decisions for lung cancer patients.
More Related Videos
10:21Author Spotlight: Exploring the Role of Inflammation in the Co-occurrence of Primary Sjogren's Syndrome and Lung Adenocarcinoma
Published on: September 20, 2024
13:56Robot Assisted Distal Pancreatectomy with Celiac Axis Resection DP-CAR for Pancreatic Cancer: Surgical Planning and Technique
Published on: August 14, 2021
Related Concept Videos
Lung Capacity
Pleura of the Lungs
Gross Anatomy of the Lungs
Kidney Transplant II: Surgical Procedure
Inflammatory Bowel Disease V: Surgical Management
Here are some common surgical interventions for IBD:
Urinary Tract Calculi VI: Surgical Management