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Clinico-pathological nomogram for predicting BRAF mutational status of metastatic colorectal cancer.

Authors :
Loupakis, Fotios
Moretto, Roberto
Aprile, Giuseppe
Muntoni, Marta
Cremolini, Chiara
Iacono, Donatella
Casagrande, Mariaelena
Ferrari, Laura
Salvatore, Lisa
Schirripa, Marta
Rossini, Daniele
De Maglio, Giovanna
Fasola, Gianpiero
Calvetti, Lorenzo
Pilotto, Sara
Carbognin, Luisa
Fontanini, Gabriella
Tortora, Giampaolo
Falcone, Alfredo
Sperduti, Isabella
Source :
British Journal of Cancer; 1/12/2016, Vol. 114 Issue 1, p30-36, 7p, 3 Charts, 3 Graphs
Publication Year :
2016

Abstract

<bold>Background: </bold>In metastatic colorectal cancer (mCRC), BRAFV600E mutation has been variously associated to specific clinico-pathological features.<bold>Methods: </bold>Two large retrospective series of mCRC patients from two Italian Institutions were used as training-set (TS) and validation-set (VS) for developing a nomogram predictive of BRAFV600E status. The model was internally and externally validated.<bold>Results: </bold>In the TS, data from 596 mCRC patients were gathered (RAS wild-type (wt) 281 (47.1%); BRAFV600E mutated 54 (9.1%)); RAS and BRAFV600E mutations were mutually exclusive. In the RAS-wt population, right-sided primary (odds ratio (OR): 7.80, 95% confidence interval (CI) 3.05-19.92), female gender (OR: 2.90, 95% CI 1.14-7.37) and mucinous histology (OR: 4.95, 95% CI 1.90-12.90) were independent predictors of BRAFV600E mutation, with high replication at internal validation (100%, 93% and 98%, respectively). A predictive nomogram was calculated: patients with the highest score (right-sided primary, female and mucinous) had a 81% chance to bear a BRAFV600E-mutant tumour; accuracy measures: AUC=0.812, SE:0.034, sensitivity:81.2%; specificity:72.1%. In the VS (508 pts, RAS wt: 262 (51.6%), BRAFV600E mutated: 49 (9.6%)), right-sided primary, female gender and mucinous histology were confirmed as independent predictors of BRAFV600E mutation with high accuracy.<bold>Conclusions: </bold>Three simple and easy-to-collect characteristics define a useful nomogram for predicting BRAF status in mCRC with high specificity and sensitivity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00070920
Volume :
114
Issue :
1
Database :
Complementary Index
Journal :
British Journal of Cancer
Publication Type :
Academic Journal
Accession number :
112226446
Full Text :
https://doi.org/10.1038/bjc.2015.399