Clinico-pathological nomogram for predicting BRAF mutational status of metastatic colorectal cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-01

AUTHORS

Fotios Loupakis, Roberto Moretto, Giuseppe Aprile, Marta Muntoni, Chiara Cremolini, Donatella Iacono, Mariaelena Casagrande, Laura Ferrari, Lisa Salvatore, Marta Schirripa, Daniele Rossini, Giovanna De Maglio, Gianpiero Fasola, Lorenzo Calvetti, Sara Pilotto, Luisa Carbognin, Gabriella Fontanini, Giampaolo Tortora, Alfredo Falcone, Isabella Sperduti, Emilio Bria

ABSTRACT

BACKGROUND: In metastatic colorectal cancer (mCRC), BRAFV600E mutation has been variously associated to specific clinico-pathological features. METHODS: 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. RESULTS: 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. CONCLUSIONS: Three simple and easy-to-collect characteristics define a useful nomogram for predicting BRAF status in mCRC with high specificity and sensitivity. More... »

PAGES

30

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2015.399

DOI

http://dx.doi.org/10.1038/bjc.2015.399

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022680969

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26575603


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