A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas.
Diffuse gliomas are incurable brain tumors divided in 3 WHO grades (II; III; IV) based on histological criteria. Grade II/III gliomas are clinically very heterogeneous and their prognosis somewhat unpredictable, preventing definition of appropriate treatment. On a cohort of 65 grade II/III glioma pa...
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oai:doaj.org-article:a31e4d36796544cbbdcb8d9e6e200d7b2021-11-18T07:40:39ZA Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas.1932-620310.1371/journal.pone.0066574https://doaj.org/article/a31e4d36796544cbbdcb8d9e6e200d7b2013-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0066574https://doaj.org/toc/1932-6203Diffuse gliomas are incurable brain tumors divided in 3 WHO grades (II; III; IV) based on histological criteria. Grade II/III gliomas are clinically very heterogeneous and their prognosis somewhat unpredictable, preventing definition of appropriate treatment. On a cohort of 65 grade II/III glioma patients, a QPCR-based approach allowed selection of a biologically relevant gene list from which a gene signature significantly correlated to overall survival was extracted. This signature clustered the training cohort into two classes of low and high risk of progression and death, and similarly clustered two external independent test cohorts of 104 and 73 grade II/III patients. A 22-gene class predictor of the training clusters optimally distinguished poor from good prognosis patients (median survival of 13-20 months versus over 6 years) in the validation cohorts. This classification was stronger at predicting outcome than the WHO grade II/III classification (P≤2.8E-10 versus 0.018). When compared to other prognosis factors (histological subtype and genetic abnormalities) in a multivariate analysis, the 22-gene predictor remained significantly associated with overall survival. Early prediction of high risk patients (3% of WHO grade II), and low risk patients (29% of WHO grade III) in clinical routine will allow the development of more appropriate follow-up and treatments.Thierry RèmeJean-Philippe HugnotIvan BiècheValérie RigauFanny Burel-VandenbosVincent PrévotMarc BaronciniDenys FontaineHugues ChevassusSophie VacherRosette LidereauHugues DuffauLuc BauchetDominique JoubertPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 6, p e66574 (2013) |
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Medicine R Science Q |
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Medicine R Science Q Thierry Rème Jean-Philippe Hugnot Ivan Bièche Valérie Rigau Fanny Burel-Vandenbos Vincent Prévot Marc Baroncini Denys Fontaine Hugues Chevassus Sophie Vacher Rosette Lidereau Hugues Duffau Luc Bauchet Dominique Joubert A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas. |
| description |
Diffuse gliomas are incurable brain tumors divided in 3 WHO grades (II; III; IV) based on histological criteria. Grade II/III gliomas are clinically very heterogeneous and their prognosis somewhat unpredictable, preventing definition of appropriate treatment. On a cohort of 65 grade II/III glioma patients, a QPCR-based approach allowed selection of a biologically relevant gene list from which a gene signature significantly correlated to overall survival was extracted. This signature clustered the training cohort into two classes of low and high risk of progression and death, and similarly clustered two external independent test cohorts of 104 and 73 grade II/III patients. A 22-gene class predictor of the training clusters optimally distinguished poor from good prognosis patients (median survival of 13-20 months versus over 6 years) in the validation cohorts. This classification was stronger at predicting outcome than the WHO grade II/III classification (P≤2.8E-10 versus 0.018). When compared to other prognosis factors (histological subtype and genetic abnormalities) in a multivariate analysis, the 22-gene predictor remained significantly associated with overall survival. Early prediction of high risk patients (3% of WHO grade II), and low risk patients (29% of WHO grade III) in clinical routine will allow the development of more appropriate follow-up and treatments. |
| format |
article |
| author |
Thierry Rème Jean-Philippe Hugnot Ivan Bièche Valérie Rigau Fanny Burel-Vandenbos Vincent Prévot Marc Baroncini Denys Fontaine Hugues Chevassus Sophie Vacher Rosette Lidereau Hugues Duffau Luc Bauchet Dominique Joubert |
| author_facet |
Thierry Rème Jean-Philippe Hugnot Ivan Bièche Valérie Rigau Fanny Burel-Vandenbos Vincent Prévot Marc Baroncini Denys Fontaine Hugues Chevassus Sophie Vacher Rosette Lidereau Hugues Duffau Luc Bauchet Dominique Joubert |
| author_sort |
Thierry Rème |
| title |
A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas. |
| title_short |
A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas. |
| title_full |
A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas. |
| title_fullStr |
A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas. |
| title_full_unstemmed |
A Molecular Predictor Reassesses Classification of Human Grade II/III Gliomas. |
| title_sort |
molecular predictor reassesses classification of human grade ii/iii gliomas. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2013 |
| url |
https://doaj.org/article/a31e4d36796544cbbdcb8d9e6e200d7b |
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