Tan EY, Bharwani L, Chia YH, Soong RCT, Lee SSY, Chen JJC, Chan PMY. Impact of cytochrome P450 2D6 polymorphisms on decision-making and clinical outcomes in adjuvant hormonal therapy for breast cancer. World J Clin Oncol 2022; 13(8): 712-724 [PMID: 36160461 DOI: 10.5306/wjco.v13.i8.712]
Corresponding Author of This Article
Ern-Yu Tan, DPhil, FRCS (Gen Surg), MBBS, Associate Professor, Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore. ern_yu_tan@ttsh.com.sg
Research Domain of This Article
Oncology
Article-Type of This Article
Prospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Oncol. Aug 24, 2022; 13(8): 712-724 Published online Aug 24, 2022. doi: 10.5306/wjco.v13.i8.712
Table 1 Primers for cytochrome P450 2D6 genotyping
Position/change
Forward primer (5’→3’)
Reverse primer (5’→3’)
*4
1846G>A
AGA GGC GCT TCT CCG TGT CC
AAA TCC TGC TCT TCC GAG GC
*5
Gene deletion
CTC CAG CCT CCA CCA GTC CAG
CAG GCA TGA GCT AAG GCA CCC AGA C
*6
1707delT
CGC AAC TTG GGC CTG GGC AAG AAG TCG CTG GAC TAG
CTC GGG AGC TCG CCC TGC AGA GAC TC
*9
2613AGA>del
GGT CAG TGG TAA GGA CAG GCA GGC CC
CAC CCT TGC CCC CCA CCG TGG CAG CCA CTC TAA GCT
*10
100C>T
GAT GCA CCG GCG CCA ACG CTG GGC TGC ACG GTA C
CAA ACC TGC TTC CCC TTC TCA GCC
*41
2988G>A
CGT GAG CCC ATC TGG GAA A
CTG ACA CTC CTT CTT GCC TCC TA
Table 2 Details of cytochrome P450 2D6 genotyping for the 78 women classified into two phenotype groups: Intermediate metabolizers and extensive metabolizers/ultra metabolizers
Phenotype
CYP2D6 genotype
Number of women, n = 78
IM
*10/*10
25
*10/41
2
*10/*4
2
*10/*5
3
*10/EM/UM
20
*5/EM/UM
5
EM/UM
EM/UM
21
Table 3 Univariate correlation analyses of clinicopathological parameters with cytochrome P450 2D6 phenotype classification
IM phenotype, n = 52
EM/UM phenotype, n = 18
P value
Median age in yr
62.5 (51-86)
61 (50-84)
0.574
Disease stage
0.595
I
24
6
II
17
8
III
11
4
Ethnicity
0.148
Chinese
47
13
Malay
3
3
Indian
1
2
Others
1
0
Comorbidities
0.728
Yes
43
14
No
9
4
Tumor histology
0.518
IDC
40
14
ILC
7
1
Others
5
3
Tumor grade
0.247
1
16
3
2
25
10
3
11
5
Median tumor size in mm
16.5 (1.2 to 70.0)
20.0 (3.0 to 45.0)
0.334
Lymphovascular invasion
0.527
Present
16
7
Absent
36
11
ER intensity
0.528
Low
2
0
Moderate
11
2
High
38
15
Negative
1
1
Proportion of tumor cells staining ER-positive
0.267
1% to 10%
4
0
11% to 49%
6
1
50% to 89%
14
3
More than 90%
27
14
PR intensity
0.631
Low
5
1
Moderate
9
5
High
31
11
Negative
7
1
Proportion of tumor cells staining PR-positive
0.785
1% to 10%
11
3
11% to 49%
8
2
50% to 89%
18
7
More than 90%
11
6
HER2 status
0.495
Positive
11
2
Negative
41
16
Clinical subtypes
0.692
ER+/HER2-
41
14
ER+/HER2+
10
2
ER-/HER2+
1
0
Table 4 Univariate correlation analyses of clinicopathological parameters and clinical outcome with type of hormonal agent received
Citation: Tan EY, Bharwani L, Chia YH, Soong RCT, Lee SSY, Chen JJC, Chan PMY. Impact of cytochrome P450 2D6 polymorphisms on decision-making and clinical outcomes in adjuvant hormonal therapy for breast cancer. World J Clin Oncol 2022; 13(8): 712-724