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. 2018 May 21;9(1):30–34. doi: 10.3892/mco.2018.1634

Table I.

Genetic variants found in the cSCC patient by IT-PGM sequencing.

Genea Mutationb AFc (%) Relevanced Prediction testj (Refs.)
FGFR3 c.1138G>A p.Gly380Arg (COSM24842) 28.7 Pathogenice,f (23,24)
c.1953G>A p.Thr651=(rs7688609) 100.0 Benigne,g
EGFR c.1498+22 A>T (rs1558544) 100.0 NCg,i NNSPLICE: Unchanged
c.2361G>A p.Gln787=(rs1050171) 100.0 Benigne,g
MET c.534C>T p.Ser178Ser (rs35775721) 67.2 Benigng
MAP2K1 c.174G>C p.Gln58His 15.8 Likely pathogenici PROVEAN: Deleterius;
SIFT: Damaging;
PolyPhen: Possibly damaging;
CRAVAT: High pathogenicity cancer driver impact
TP53 c.743G>A p. Arg248Gln (COSM10662) 21.1 Pathogenice,f,h (2527)
c.836_861del27 31.1 Likely pathogenici PROVEAN: Deleterius
p.Gly279_Asn288delinsAsp CRAVAT: High pathogenicity cancer driver impact
c.215 C>G p.Pro72Arg, (rs1042522, COSM250061) 60.2 Uncertain significancee,f,i (30)
c.1-46C>T 21.2 NA NNSPLICE: Unchanged
a

The following 22 genes were analyzed: DDR2, NRAS, ALK, ERBB4, CTNNB1, PIK3CA, FBXW7, FGFR3, BRAF, EGFR, MET, FGFR1, NOTCH1, FGFR2, PTEN, KRAS, AKT1, MAP2K1, ERBB2, TP53, SMAD4, STK11.

b

Sequence variant nomenclature according to HGVS recommendations (http://varnomen.hgvs.org/); (COSMIC and/or dbSNP ID numbers).

c

AF: Variant allele frequency in the tumor sample.

d

Biological impact of the variant according to:

h

IARC database (http://p53.iarc.fr/)

i

In silico prediction tests (see next column).

j

In silico prediction on the biological impact of the variant according to multiple software (PolyPhen-2, http://genetics.bwh.harvard.edu/pph2/; SIFT, http://sift.jcvi.org/; PROVEAN, http://provean.jcvi.org/index.php; CRAVAT, https://www.cravat.us/CRAVAT/; NNSPLICE, http://www.fruitfly.org/seq_tools/splice.html.