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. Author manuscript; available in PMC: 2018 Mar 6.
Published in final edited form as: Trends Cancer. 2017 Mar 6;3(3):181–197. doi: 10.1016/j.trecan.2017.02.002

Table 1.

Differences in clinicopathological characteristics and driver gene mutations in selected cancer types

Cancer type African American Caucasian Asian Clinical implication References
Lung cancer
KRAS mutation 17% 26–31.6% 10.4–11% Mutation significantly more frequent in smokers. [32, 101]
EGFR mutation 3–19% 3–20% 32–57% Mutation significantly more frequent in women and non-smokers.
Predicts response to EGFR tyrosine kinase inhibitors.
[32, 101105]
ALK rearrangement (EML4-ALK fusion) 4% 5.6% 4.9–67% Associated with younger age, never smoking, advanced clinical stage.
Predicts response to ALK inhibitors.
[32, 105108]
MET mutation 0–1% 2.2–19% 13–14.3% More frequent in males, smokers. [101, 102, 109]
Melanoma
BRAF mutation 8% 21% 24–25.5% BRAF or NRAS mutation mutually exclusive, more frequently associated with ulceration and poor survival. [34, 110112]
N RAS mutation 12% 22% 7.2% [34, 112]
GNAQ mutation
GNA11 mutation
45–49%
32%
18%
20%
Present at all stages of uveal melanoma
GNAQ and GNA11 mutations are mutually exclusive.
[110, 113, 114]
Prostate cancer
Anterior localization 49.2% 20% Associated with lower androgen receptor signaling. [115]
ERG rearrangement TMPRSS-ERG fusion 27.6–31.3% 37.4–50% 7.5–15.9% No correlation with clinicopathological features besides race [3537]
PTEN deletion 6.9% 19.8–42.3% 14.3% Associated with higher Gleason score, androgen independence and worse prognosis.
May predict response to PI3K inhibitor.
[36, 37]
SPINK1 overexpression 23.8% 8.2% SPINK1 overexpression and ERG rearrangements mutually exclusive. Associated with aggressive disease. [36]
Breast cancer
Triple negative tumors 19.5–48.1% 9.2–14.5% 9% Associated with poor survival. [40, 41, 116]
Basal like tumors
-Premenopausal
-Postmenopausal

39%
14%

16%
16%
Significantly more TP53 mutations in basal like vs luminal A tumors (44 vs 15%). [117]
Luminal A tumors
-Premenopausal
-Postmenopausal

36%
59%

51%
58%
[117]
Luminal B tumors
-Premenopausal
-Postmenopausal

9%
16%

18%
16%
[117]
HER2 expression 7–19.5% 6–13% 8.5–20% No differences between pre-and postmenopausal status.
Predicts response to anti- HER2 antibodies.
[40, 41, 116120]
BRCA1 mutation
All ages
<35 years

1.3%
16.7%

2.2%
7.2%

0.5%
2.4%
8.3 % in Ashkenazi Jewish breast cancer patients of all ages, 66.7% in patients <35 years.
Associated with poor survival.
[121, 122]
TP53 mutation 42.9% 27 6% TP53 mutations associated with poorer survival for African Americans but not for Caucasians. [123, 124]
PIK3CA mutation 20% 33.9% May predict response to PI3K inhibitors. [123]
Colorectal cancer
Proximal localization
Cancer stage III, IV
Lymphocytic infiltration
49%
52%
29%
34%
37%
12%
Proximal (right-sided) tumors associated with worse outcome. [125, 126]
KRAS mutation 23–44.1% 15–34.9% 27.8–37.9% Associated with poor prognosis.
Predicts lack of response to EGFR-antibodies.
[125,127129]
BRAF mutation 4–6.4% 7–13.9% 4.5–6% Associated with poor prognosis. [111, 125, 127, 128]
Microsatellite instability (MSI) 9% 9% 9% MSI associated with favorable outcome.
Negative predictor marker for 5-FU based therapy in stage II and III patients.
[125, 128131]
Gastric cancer
HER2 expression 23.6% 23.9% FIER2 expression higher in intestinal vs diffuse-type (31.8 vs 6.1 %), and gastroesophageal junction cancer vs gastric tumors (32.2 vs 21.4%).
Predicts response to anti-FlER2 antibodies
[120, 132]
GIST
c-KIT mutation 78–79% -exon 11: 67–83% -exon 9: 11–14% 90.7% -exon 11: 74% -exon 9: 7.3% Exon 11 mutations predict better outcome after imatinib treatment. [133136]
PDGFRA mutation 6–12%- exon 18: 9% 16%- exon 18: 8% KIT and PDGFRA mutations mutually exclusive. [133, 136]
HNSCC
HPV infection 4–25% 34–71.1% 51.3% Associated with better outcome. [137139]
Papillary Thyroid cancer
BRAF mutation 48% 75.4–80% Associated with aggressive clinicopathological features. [111, 140142]
TERT promoter mutation 4.7–25.5% 4.4–11.3% Associated with poor prognosis. [142, 143]
Glioblastoma
IDH1 and 2 mutation 10% 16,1% Associated with better outcome [144, 145]
TERT promoter mutation 73.3% TERT promoter mutation alone associated with poor prognosis, occurring together with IDH1 mutation associated with prolonged survival. [144]
MGMT promoter méthylation 36% Associated with better survival. [146]