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Less frequently mutated genes in colorectal cancer: evidences from next-generation sequencing of 653 routine cases.


ABSTRACT:

Aims

The incidence of RAS/RAF/PI3KA and TP53 gene mutations in colorectal cancer (CRC) is well established. Less information, however, is available on other components of the CRC genomic landscape, which are potential CRC prognostic/predictive markers.

Methods

Following a previous validation study, ion-semiconductor next-generation sequencing (NGS) was employed to process 653 routine CRC samples by a multiplex PCR targeting 91 hotspot regions in 22 CRC significant genes.

Results

A total of 796 somatic mutations in 499 (76.4%) tumours were detected. Besides RAS/RAF/PI3KA and TP53, other 12 genes showed at least one mutation including FBXW7 (6%), PTEN (2.8%), SMAD4 (2.1%), EGFR (1.2%), CTNNB1 (1.1%), AKT1 (0.9%), STK11 (0.8%), ERBB2 (0.6%), ERBB4 (0.6%), ALK (0.2%), MAP2K1 (0.2%) and NOTCH1 (0.2%).

Conclusions

In a routine diagnostic setting, NGS had the potential to generate robust and comprehensive genetic information also including less frequently mutated genes potentially relevant for prognostic assessments or for actionable treatments.

SUBMITTER: Malapelle U 

PROVIDER: S-EPMC5036215 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Publications

Less frequently mutated genes in colorectal cancer: evidences from next-generation sequencing of 653 routine cases.

Malapelle Umberto U   Pisapia Pasquale P   Sgariglia Roberta R   Vigliar Elena E   Biglietto Maria M   Carlomagno Chiara C   Giuffrè Giuseppe G   Bellevicine Claudio C   Troncone Giancarlo G  

Journal of clinical pathology 20160121 9


<h4>Aims</h4>The incidence of RAS/RAF/PI3KA and TP53 gene mutations in colorectal cancer (CRC) is well established. Less information, however, is available on other components of the CRC genomic landscape, which are potential CRC prognostic/predictive markers.<h4>Methods</h4>Following a previous validation study, ion-semiconductor next-generation sequencing (NGS) was employed to process 653 routine CRC samples by a multiplex PCR targeting 91 hotspot regions in 22 CRC significant genes.<h4>Result  ...[more]

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