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Noninvasive Image Texture Analysis Differentiates K-ras Mutation from Pan-Wildtype NSCLC and Is Prognostic
- Source :
- PLoS ONE, PLoS ONE, Vol 9, Iss 7, p e100244 (2014)
- Publication Year :
- 2014
- Publisher :
- Public Library of Science (PLoS), 2014.
-
Abstract
- Background Non-invasive characterization of a tumor's molecular features could enhance treatment management. Quantitative computed tomography (CT) based texture analysis (QTA) has been used to derive tumor heterogeneity information, and the appearance of the tumors has been shown to relate to patient outcome in non-small cell lung cancer (NSCLC) and other cancers. In this study, we examined the potential of tumoral QTA to differentiate K-ras mutant from pan-wildtype tumors and its prognostic potential using baseline pre-treatment non-contrast CT imaging in NSCLC. Methods Tumor DNA from patients with early-stage NSCLC was analyzed on the LungCarta Panel. Cases with a K-ras mutation or pan-wildtype for 26 oncogenes and tumor suppressor genes were selected for QTA. QTA was applied to regions of interest in the primary tumor. Non-parametric Mann Whitney test assessed the ability of the QTA, clinical and patient characteristics to differentiate between K-ras mutation from pan-wildtype. A recursive decision tree was developed to determine whether the differentiation of K-ras mutant from pan-wildtype tumors could be improved by sequential application of QTA parameters. Kaplan-Meier survival analysis assessed the ability of these markers to predict survival. Results QTA was applied to 48 cases identified, 27 had a K-ras mutation and 21 cases were pan-wildtype. Positive skewness and lower kurtosis were significantly associated with the presence of a K-ras mutation. A five node decision tree had sensitivity, specificity, and accuracy values (95% CI) of 96.3% (78.1–100), 81.0% (50.5–97.4), and 89.6% (72.9–97.0); respectively. Kurtosis was a significant predictor of OS and DFS, with a lower kurtosis value linked with poorer survival. Conclusions Lower kurtosis and positive skewness are significantly associated with K-ras mutations. A QTA feature such as kurtosis is prognostic for OS and DFS. Non-invasive QTA can differentiate the presence of K-ras mutation from pan-wildtype NSCLC and is associated with patient survival.
- Subjects :
- Male
Oncology
Lung Neoplasms
lcsh:Medicine
Lung and Intrathoracic Tumors
Diagnostic Radiology
Image texture
Carcinoma, Non-Small-Cell Lung
Medicine and Health Sciences
Genome Sequencing
Quantitative computed tomography
lcsh:Science
Tomography
Aged, 80 and over
Multidisciplinary
medicine.diagnostic_test
Radiology and Imaging
Genomics
Middle Aged
Survival Rate
Female
Non small cell
Research Article
medicine.medical_specialty
Biology
Tumor heterogeneity
Disease-Free Survival
Proto-Oncogene Proteins p21(ras)
Diagnostic Medicine
Proto-Oncogene Proteins
Internal medicine
Genetics
medicine
Carcinoma
Humans
Molecular Biology Techniques
Sequencing Techniques
Molecular Biology
Survival rate
Aged
Neoplasm Staging
Clinical Genetics
lcsh:R
Personalized Medicine
Wild type
Biology and Life Sciences
Cancers and Neoplasms
medicine.disease
Computed Axial Tomography
Mutation
RAS Mutation
ras Proteins
lcsh:Q
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....da977bb979f430a2c06065e4572cdbb4