There is continuing interest in identifying low-penetrance genes which are associated with increased susceptibility to common types of cancer. There are several approaches to this problem, including the use of chip-based single nucleotide polymorphism (SNP) arrays to interrogate a large number of genes simultaneously and pre-selecting candidate genes of interest. Candidate genes for cancers of a particular site may be selected because they are known to predispose to malignancies of other organs, or because they are mutated somatically in the cells from the cancer of interest. It is possible that missense variants of genes for which truncating mutations are clearly pathogenic may also be deleterious, but with reduced penetrance. In this situation the association may be overlooked unless large numbers of cancers are studied.In our centre we performed population-based studies of common variants of three genes: a tumour-suppressor gene CDKN2A (OMIM 600160), NOD2 (OMIM 605956) involved in the chronic inflammation process, and CHEK2 (OMIM 604373) participating in the DNA damage response.To determine whether CDKN2A common variant A148T may be associated with an increased risk of malignancies at different sites of origin we genotyped a series of 8,263 unselected cancer cases and compared the frequency of the change observed in this population to 3,000 controls in Poland. To establish the range of cancer types associated with three CHEK2 mutations (VS2+1G → A, 1100delC, and I157T) we genotyped 4,008 unselected cases of cancer and 4,000 controls in Poland. In order to define the range of cancer phenotypes associated with the NOD23020insC mutation we examined 2,604 unselected invasive cancers of 12 different types and 1,910 controls from Poland.
Results
We showed an association between CDKN2A common variant and increased risk of malignant melanoma (OR = 2.1), cancers of breast (under 50 y, OR = 1.5), lung (OR = 2.0) and colon (OR = 1.5) (table 1) [1-3].
Table 1
Association between A148T variants and selected types of cancer
A148T
OR
95% Confidence Interval
p (adjusted p)
total controls (n = 3000)
105 (3.5%) G/A
bladder (n = 223)
0 (0%) A/A
7 (3.1%) G/A
0.9
0.4105-1.945
0.7764
(n.s)
colon (n = 724)
0 (0%) A/A
37 (5.1%) G/A
1.5
1.012-2.180
0.0423
(0.5499)
stomach (n = 246)
0 (0%) A/A
8 (3.3%) G/A
0.9
0.4461-1.925
0.8384
(n.s)
larynx (n = 396)
0 (0%) A/A
17 (4.3%) G/A
1.2
0.7326-2.088
0.4255
(n.s)
ovary (n = 340)
0 (0%) A/A
12 (3.5%) G/A
1.0
0.5491-1.853
0.9777
(n.s)
lung (n = 497)
0 (0%) A/A
34 (6.8%) G/A
2.0
1.358-3.018
0.0004
(0.0052)
prostate (n = 348)
0 (0%) A/A
13 (3.7%) G/A
1.1
0.5946-1.925
0.8215
(n.s)
kidney (n = 264)
0 (0%) A/A
6 (2.3%) G/A
0.6
0.2788-1.474
0.2915
(n.s)
thyroid (n = 173)
0 (0%) A/A
3 (1.7%) G/A
0.5
0.1528-1.549
0.2129
(n.s)
non-Hodgkin Lymphoma (n = 162)
0 (0%) A/A
6 (3.7%) G/A
1.1
0.4585-2.453
0.8909
(n.s)
breast (under 50 y) (n = 3318)
0 (0%) A/A
168 (5.1%) G/A
1.5
1.2764-1.832
0.002
melanoma (n = 471)
0 (0%) A/A
33 (7%) G/A
2.1
1.387-3.111
0.0003
pancreas (n = 210)
0 (0%) A/A
8 (3.8%) G/A
1.1
0.5246-2.273
0.8140
(n.s)
Association between A148T variants and selected types of cancerWe also found a positive association between common NOD2 variant and cancers of the colon (late-onset, OR = 2.2), breast (early-onset breast cancer OR = 1.9 and ductal breast cancer with an in situ component OR = 2.1) and ovary (table 2) [4-7].
Table 2
Association of the NOD2 3020insC mutation and selected types of cancer
Site
Number tested
Number positive
Prevalence of 3020ins C (%)
Odds ratio
p-value
bladder
172
18
10.5
1.5
0.13
breast
462
37
8.0
1.1
0.62
with DCIS
126
18
14.3
2.1
0.009
without DCIS
336
19
5.7
0.76
0.30
colon
255
31
12.2
1.8
0.01
kidney
245
8
3.2
0.4
0.02
larynx
223
23
10.3
1.5
0.11
lung
258
30
11.6
1.7
0.03
melanoma
198
10
5.1
0.7
0.31
ovary
317
35
11.0
1.6
0.03
pancreas
127
6
4.7
0.6
0.37
prostate
298
17
5.7
0.76
0.40
stomach
213
20
9.4
1.3
0.27
thyroid
82
8
9.8
1.4
0.39
controls
1910
140
7.3
Association of the NOD23020insC mutation and selected types of cancerPositive associations with CHEK2 protein-truncating alleles were seen for cancers of the thyroid (OR = 4.9), breast (OR = 2.2) and prostate (OR = 2.2). The missense variant I157T was associated with an increased risk of breast cancer (OR = 1.4), colon cancer (OR = 2.0), kidney cancer (OR = 2.1), prostate cancer (OR = 1.7) and thyroid cancer (OR = 1.9) (table 3) [8].
Table 3
Association between CHEK2 variants and selected types of cancer
Site
No. tested
Number positive (prevalence), odds ratio, p-value
IVS2 + 1G>A
1100delC
Any truncating mutation
I157T
bladder
172
1 (0.6%) OR 1.2 p = 0.7
0
1 (0.6%) OR 0.8 p = 0.8
12 (7.0%) OR 1.5 p = 0.3
breast
1017
11 (1.1%) OR 2.3 p = 0.04
5 (0.5%) OR 2.0 p = 0.3
16 (1.6%) OR 2.2 p = 0.02
68 (6.7%) OR 1.4 p = 0.02
colon
300
1 (0.3%) OR 0.7 p = 0.9
2 (0.7%) OR 2.7 p = 0.4
3 (1%) OR 1.4 p = 0.8
28 (9.3%) OR 2.0 p = 0.001
kidney
264
0
2 (0.8%) OR 2.7 p = 0.5
2 (0.8%) OR 1.0 p = 0.8
26 (9.8%) OR 2.1 p = 0.0006
larynx
245
0
0
0
10 (4.1%) OR 0.8 p = 0.7
lung
272
0
0
0
7 (2.6%) OR 0.5 p = 0.1
melanoma
129
2 (1.5%) OR 3.3 p = 0.3
1 (0.8%) OR 3.1 p = 0.8
3 (2.3%) OR 3.2 p = 0.1
6 (4.6%) OR 1.0 p = 0.9
ovary
292
0
0
0
14 (4.8%) OR 1.0 p = 0.9
prostate
690
8 (1.2%) OR 2.5 p = 0.05
3 (0.4%) OR 1.7 p = 0.2
11 (1.6%) OR 2.2 p = 0.04
54 (7.8%) OR 1.7 p = 0.002
stomach
241
4 (1.7%) OR 3.5 p = 0.05
0
4 (2.1%) OR 2.3 p = 0.2
13 (5.4%) OR 1.1 p = 0.8
NHL
120
1 (0.8%) OR 1.8 p = 0.9
0
1 (0.8%) OR 1.1 p = 0.7
11 (9.2%) OR 2.0 p = 0.05
pancreas
93
0
0
0
6 (6.4%) OR 1.4 p = 0.6
thyroid
173
5 (2.9%) OR 6.2 p = 0.0003
1 (0.6%) OR 2.3 p = 0.9
6 (3.5%) OR 4.9 p = 0.0006
15 (8.7%) OR 1.9 p = 0.04
controls
4000
19 (0.475%)
10 (0.25%)
29 (0.725%)
193 (4.825%)
Association between CHEK2 variants and selected types of cancer
Conclusions
It seems that CDKN2A, NOD2 and CHEK2 are responsible for a wide range of cancer types.We estimate that the mutations mentioned above are responsible for around 20% of malignancies occurring in the Polish population. According to our studies over 4 million people in Poland carry one of the mutations described above. We elaborated genetic tests for CDKN2A, NOD2 and CHEK2 aimed at reliable identification of persons with increased risk of developing cancers of the breast, ovary, lung, prostate, thyroid, colon, kidney and malignant melanoma.
Authors: Tadeusz Debniak; Rodney J Scott; Tomasz Huzarski; Tomasz Byrski; Andrzej Rozmiarek; Boguslaw Debniak; Bohdan Górski; Cezary Cybulski; Krzysztof Medrek; Marek Mierzejewski; Bartłomiej Masojc; Joanna Matyjasik; Elzbieta Złowocka; Urszula Teodorczyk; Marcin Lener; Ewa Klujszo-Grabowska; Katarzyna Nej-Wołosiak; Ewa Jaworowska; Dorota Oszutowska; Anna Szymańska; Jolanta Szymańska; Jennifer Castaneda; Thierry van de Wetering; Janina Suchy; Grzegorz Kurzawski; Oleg Oszurek; Steven Narod; Jan Lubinski Journal: Int J Cancer Date: 2006-06-15 Impact factor: 7.396
Authors: Tomasz Huzarski; Marcin Lener; Wenancjusz Domagała; Jacek Gronwald; Tomasz Byrski; Grzegorz Kurzawski; Janina Suchy; Maria Chosia; Janusz Woyton; Michał Ucinski; Steven A Narod; Jan Lubiński Journal: Breast Cancer Res Treat Date: 2005-01 Impact factor: 4.872
Authors: Marcin Radosław Lener; Dorota Oszutowska; Jennifer Castaneda; Grzegorz Kurzawski; Janina Suchy; Katarzyna Nej-Wołosiak; Tomasz Byrski; Tomasz Huzarski; Jacek Gronwald; Anna Szymańska; Jolanta Szymańska-Pasternak; Tomasz Grodzki; Piotr Serwatowski; Grzegorz Bre Borowicz; Rodney J Scott; Jan Lubiński Journal: Breast Cancer Res Treat Date: 2006-01 Impact factor: 4.872
Authors: C Cybulski; B Górski; T Huzarski; B Masojć; M Mierzejewski; T Debniak; U Teodorczyk; T Byrski; J Gronwald; J Matyjasik; E Zlowocka; M Lenner; E Grabowska; K Nej; J Castaneda; K Medrek; A Szymańska; J Szymańska; G Kurzawski; J Suchy; O Oszurek; A Witek; S A Narod; J Lubiński Journal: Am J Hum Genet Date: 2004-10-18 Impact factor: 11.025
Authors: Tadeusz Debniak; Rodney J Scott; Tomasz Huzarski; Tomasz Byrski; Andrzej Rozmiarek; Bogusław Debniak; Elzbieta Załuga; Romuald Maleszka; Józef Kładny; Bohdan Górski; Cezary Cybulski; Jacek Gronwald; Grzegorz Kurzawski; Jan Lubinski Journal: Cancer Res Date: 2005-02-01 Impact factor: 12.701
Authors: T Debniak; B Górski; T Huzarski; T Byrski; C Cybulski; A Mackiewicz; S Gozdecka-Grodecka; J Gronwald; E Kowalska; O Haus; E Grzybowska; M Stawicka; M Swiec; K Urbański; S Niepsuj; B Waśko; S Góźdź; P Wandzel; C Szczylik; D Surdyka; A Rozmiarek; O Zambrano; M Posmyk; S A Narod; J Lubinski Journal: J Med Genet Date: 2005-05-06 Impact factor: 6.318
Authors: Jan Lubiński; Tomasz Huzarski; Grzegorz Kurzawski; Janina Suchy; Bartłomiej Masojć; Marek Mierzejewski; Marcin Lener; Wenancjusz Domagała; Maria Chosia; Urszula Teodorczyk; Krzysztof Medrek; Tadeusz Debniak; Elzbieta Złowocka; Jacek Gronwald; Tomasz Byrski; Ewa Grabowska; Katarzyna Nej; Anna Szymańska; Jolanta Szymańska; Joanna Matyjasik; Cezary Cybulski; Anna Jakubowska; Bohdan Górski; Steven A Narod Journal: Hered Cancer Clin Pract Date: 2005-03-15 Impact factor: 2.857
Authors: Grzegorz Kurzawski; Janina Suchy; Józef Kładny; Ewa Grabowska; Marek Mierzejewski; Anna Jakubowska; Tadeusz Debniak; Cezary Cybulski; Elsbieta Kowalska; Zbigniew Szych; Wenancjusz Domagała; Rodney J Scott; Jan Lubiński Journal: Cancer Res Date: 2004-03-01 Impact factor: 12.701
Authors: Hanna Janiszewska; Aneta Bak; Maria Pilarska; Marta Heise; Anna Junkiert-Czarnecka; Małgorzata Kuliszkiewicz-Janus; Małgorzata Całbecka; Bozena Jaźwiec; Dariusz Wołowiec; Kazimierz Kuliczkowski; Olga Haus Journal: Haematologica Date: 2011-11-04 Impact factor: 9.941