MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer

Mattia Boeri, Carla Verri, Davide Conte, Luca Roz, Piergiorgio Modena, Federica Facchinetti, Elisa Calabrò, Carlo M. Croce, Ugo Pastorino, Gabriella Sozzi

Research output: Contribution to journalArticle

481 Citations (Scopus)

Abstract

The efficacy of computed tomography (CT) screening for early lung cancer detection in heavy smokers is currently being tested by a number of randomized trials. Critical issues remain the frequency of unnecessary treatments and impact on mortality, indicating the need for biomarkers of aggressive disease. We explored microRNA (miRNA) expression profiles of lung tumors, normal lung tissues and plasma samples from cases with variable prognosis identified in a completed spiral-CT screening trial with extensive follow-up. miRNA expression patterns significantly distinguished: (i) tumors from normal lung tissues, (ii) tumor histology and growth rate, (iii) clinical outcome, and (iv) year of lung cancer CT detection. Interestingly, miRNA profiles in normal lung tissues also displayed remarkable associations with clinical features, suggesting the influence of a permissive microenvironment for tumor development. miRNA expression analyses in plasma samples collected 1-2 y before the onset of disease, at the time of CT detection and in disease-free smokers enrolled in the screening trial, resulted in the generation of miRNA signatures with strong predictive, diagnostic, and prognostic potential (area under the ROC curve ≥ 0.85). These signatures were validated in an independent cohort from a second randomized spiral-CT trial. These results indicate a role for miRNAs in lung tissues and plasma as molecular predictors of lung cancer development and aggressiveness and have theoretical and clinical implication for lung cancer management.

Original languageEnglish
Pages (from-to)3713-3718
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume108
Issue number9
DOIs
Publication statusPublished - Mar 1 2011

Fingerprint

MicroRNAs
Lung Neoplasms
Tomography
Lung
Spiral Computed Tomography
Neoplasms
Tumor Microenvironment
Early Detection of Cancer
ROC Curve
Area Under Curve
Histology
Biomarkers
Mortality
Growth

Keywords

  • Circulating biomarkers
  • miRNA ratios
  • Risk prediction

ASJC Scopus subject areas

  • General

Cite this

MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer. / Boeri, Mattia; Verri, Carla; Conte, Davide; Roz, Luca; Modena, Piergiorgio; Facchinetti, Federica; Calabrò, Elisa; Croce, Carlo M.; Pastorino, Ugo; Sozzi, Gabriella.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 108, No. 9, 01.03.2011, p. 3713-3718.

Research output: Contribution to journalArticle

@article{91215d5060c04821bbc8c8e4c99aed2e,
title = "MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer",
abstract = "The efficacy of computed tomography (CT) screening for early lung cancer detection in heavy smokers is currently being tested by a number of randomized trials. Critical issues remain the frequency of unnecessary treatments and impact on mortality, indicating the need for biomarkers of aggressive disease. We explored microRNA (miRNA) expression profiles of lung tumors, normal lung tissues and plasma samples from cases with variable prognosis identified in a completed spiral-CT screening trial with extensive follow-up. miRNA expression patterns significantly distinguished: (i) tumors from normal lung tissues, (ii) tumor histology and growth rate, (iii) clinical outcome, and (iv) year of lung cancer CT detection. Interestingly, miRNA profiles in normal lung tissues also displayed remarkable associations with clinical features, suggesting the influence of a permissive microenvironment for tumor development. miRNA expression analyses in plasma samples collected 1-2 y before the onset of disease, at the time of CT detection and in disease-free smokers enrolled in the screening trial, resulted in the generation of miRNA signatures with strong predictive, diagnostic, and prognostic potential (area under the ROC curve ≥ 0.85). These signatures were validated in an independent cohort from a second randomized spiral-CT trial. These results indicate a role for miRNAs in lung tissues and plasma as molecular predictors of lung cancer development and aggressiveness and have theoretical and clinical implication for lung cancer management.",
keywords = "Circulating biomarkers, miRNA ratios, Risk prediction",
author = "Mattia Boeri and Carla Verri and Davide Conte and Luca Roz and Piergiorgio Modena and Federica Facchinetti and Elisa Calabr{\`o} and Croce, {Carlo M.} and Ugo Pastorino and Gabriella Sozzi",
year = "2011",
month = "3",
day = "1",
doi = "10.1073/pnas.1100048108",
language = "English",
volume = "108",
pages = "3713--3718",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
number = "9",

}

TY - JOUR

T1 - MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer

AU - Boeri, Mattia

AU - Verri, Carla

AU - Conte, Davide

AU - Roz, Luca

AU - Modena, Piergiorgio

AU - Facchinetti, Federica

AU - Calabrò, Elisa

AU - Croce, Carlo M.

AU - Pastorino, Ugo

AU - Sozzi, Gabriella

PY - 2011/3/1

Y1 - 2011/3/1

N2 - The efficacy of computed tomography (CT) screening for early lung cancer detection in heavy smokers is currently being tested by a number of randomized trials. Critical issues remain the frequency of unnecessary treatments and impact on mortality, indicating the need for biomarkers of aggressive disease. We explored microRNA (miRNA) expression profiles of lung tumors, normal lung tissues and plasma samples from cases with variable prognosis identified in a completed spiral-CT screening trial with extensive follow-up. miRNA expression patterns significantly distinguished: (i) tumors from normal lung tissues, (ii) tumor histology and growth rate, (iii) clinical outcome, and (iv) year of lung cancer CT detection. Interestingly, miRNA profiles in normal lung tissues also displayed remarkable associations with clinical features, suggesting the influence of a permissive microenvironment for tumor development. miRNA expression analyses in plasma samples collected 1-2 y before the onset of disease, at the time of CT detection and in disease-free smokers enrolled in the screening trial, resulted in the generation of miRNA signatures with strong predictive, diagnostic, and prognostic potential (area under the ROC curve ≥ 0.85). These signatures were validated in an independent cohort from a second randomized spiral-CT trial. These results indicate a role for miRNAs in lung tissues and plasma as molecular predictors of lung cancer development and aggressiveness and have theoretical and clinical implication for lung cancer management.

AB - The efficacy of computed tomography (CT) screening for early lung cancer detection in heavy smokers is currently being tested by a number of randomized trials. Critical issues remain the frequency of unnecessary treatments and impact on mortality, indicating the need for biomarkers of aggressive disease. We explored microRNA (miRNA) expression profiles of lung tumors, normal lung tissues and plasma samples from cases with variable prognosis identified in a completed spiral-CT screening trial with extensive follow-up. miRNA expression patterns significantly distinguished: (i) tumors from normal lung tissues, (ii) tumor histology and growth rate, (iii) clinical outcome, and (iv) year of lung cancer CT detection. Interestingly, miRNA profiles in normal lung tissues also displayed remarkable associations with clinical features, suggesting the influence of a permissive microenvironment for tumor development. miRNA expression analyses in plasma samples collected 1-2 y before the onset of disease, at the time of CT detection and in disease-free smokers enrolled in the screening trial, resulted in the generation of miRNA signatures with strong predictive, diagnostic, and prognostic potential (area under the ROC curve ≥ 0.85). These signatures were validated in an independent cohort from a second randomized spiral-CT trial. These results indicate a role for miRNAs in lung tissues and plasma as molecular predictors of lung cancer development and aggressiveness and have theoretical and clinical implication for lung cancer management.

KW - Circulating biomarkers

KW - miRNA ratios

KW - Risk prediction

UR - http://www.scopus.com/inward/record.url?scp=84977478146&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84977478146&partnerID=8YFLogxK

U2 - 10.1073/pnas.1100048108

DO - 10.1073/pnas.1100048108

M3 - Article

AN - SCOPUS:84977478146

VL - 108

SP - 3713

EP - 3718

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 9

ER -