Dataset Information

Mutational Profile from Targeted NGS Predicts Survival in LDCT Screening-Detected Lung Cancers.

ABSTRACT:

Background

The issue of overdiagnosis in low-dose computed tomography (LDCT) screening trials could be addressed by the development of complementary biomarkers able to improve detection of aggressive disease. The mutation profile of LDCT screening-detected lung tumors is currently unknown.

Methods

Targeted next-generation sequencing was performed on 94 LDCT screening-detected lung tumors. Associations with clinicopathologic features, survival, and the risk profile of a plasma microRNA signature classifier were analyzed.

Results

The mutational spectrum and frequency observed in screening series was similar to that reported in public data sets, although a larger number of tumors without mutations in driver genes was detected. The 5-year overall survival (OS) rates of patients with and without mutations in the tumors were 66% and 100%, respectively (p = 0.015). By combining the mutational status with the microRNA signature classifier risk profile, patients were stratified into three groups with 5-year OS rates ranging from 42% to 97% (p < 0.0001) and the prognostic value was significant after controlling for stage (p = 0.02).

Conclusion

Tumor mutational status along with a microRNA-based liquid biopsy can provide additional information in planning clinical follow-up in lung cancer LDCT screening programs.

SUBMITTER: Verri C

PROVIDER: S-EPMC6832691 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Publications

Mutational Profile from Targeted NGS Predicts Survival in LDCT Screening-Detected Lung Cancers.

Verri Carla C Borzi Cristina C Holscher Todd T Dugo Matteo M Devecchi Andrea A Drake Katherine K Sestini Stefano S Suatoni Paola P Romeo Elisa E Sozzi Gabriella G Pastorino Ugo U Boeri Mattia M

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 20170314 6

<h4>Background</h4>The issue of overdiagnosis in low-dose computed tomography (LDCT) screening trials could be addressed by the development of complementary biomarkers able to improve detection of aggressive disease. The mutation profile of LDCT screening-detected lung tumors is currently unknown.<h4>Methods</h4>Targeted next-generation sequencing was performed on 94 LDCT screening-detected lung tumors. Associations with clinicopathologic features, survival, and the risk profile of a plasma micr ...[more]

PMID: 28302568

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Dataset Information

Mutational Profile from Targeted NGS Predicts Survival in LDCT Screening-Detected Lung Cancers.

Background

Methods

Results

Conclusion

Publications

Mutational Profile from Targeted NGS Predicts Survival in LDCT Screening-Detected Lung Cancers.

Similar Datasets

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