| Literature DB >> 28036387 |
Abolfazl Faraji1, Hamid Reza Dehghan Manshadi2, Maryam Mobaraki1, Mahkameh Zare2, Massoud Houshmand1.
Abstract
Breast cancer is the most common cancer in women worldwide. Doxorubicin-based chemotherapy is used to treat breast cancer patients; however, neutropenia is a common hematologic side effect and can be life-threatening. The ABCB1 and SLC22A16 genes encode proteins that are essential for doxorubicin transport. In this study, we explored the effect of 2 common polymorphisms in ABCB1 (rs10276036 C/T) and SLC22A16 (rs12210538 A/G) on the development of grade 3/4 febrile neutropenia in Iranian breast cancer patients. Our results showed no significant association between these polymorphisms and grade 3/4 febrile neutropenia; however, allele C of ABCB1 (rs10276036 C/T) (p = 0.315, OR = 1.500, 95% CI = 0.679-3.312) and allele A of SLC22A16 (rs12210538 A/G) (p = 0.110, OR = 2.984, 95% CI = 0.743-11.988) tended to have a greater association with grade 3/4 febrile neutropenia, whereas allele T of ABCB1 (rs10276036) (p = 0.130, OR = 0.515, 95% CI = 0.217-1.223) and allele G of SLC22A16 (rs12210538) (p = 0.548, OR = 0.786, 95% CI = 0.358-1.726) tended to protect against this condition. In addition to breast cancer, a statistically significant association was also observed between the development of grade 3/4 febrile neutropenia and other clinical manifestations such as stage IIIC cancer (p = 0.037) and other diseases (p = 0.026). Our results indicate that evaluation of the risk of grade 3/4 neutropenia development and consideration of molecular and clinical findings may be of value when screening for high-risk breast cancer patients.Entities:
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Year: 2016 PMID: 28036387 PMCID: PMC5201260 DOI: 10.1371/journal.pone.0168519
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Transport and mechanism of action of doxorubicin.
Amplification refractory mutation system (ARMS) and standard-PCR primers for genotyping and sequencing of ABCB1 (rs10276036 C/T) and SLC22A16 (rs12210538 A/G) gene polymorphisms.
| Method | Polymorphism | Sequence (5' → 3') | Size (bp) |
|---|---|---|---|
| ARMS-PCR | 262 | ||
| 215 | |||
| Standard-PCR | 482 | ||
| 581 |
Fig 2Fig 2A. Agarose gel image of the amplification refractory mutation system-PCR products of the 1: 50 bp DNA ladder, 2 & 3: heterozygote allele C/T, 4 & 5: homozygote allele C, 6 & 7: homozygote allele T, 8 & 9: negative control for alleles C and T respectively, Fig 2B. Electropherogram of the 1: 50 bp DNA ladder, 2 & 3: heterozygote allele A/G, 4 & 5: homozygote allele A, 6 & 7: homozygote allele G, 8 & 9: negative control for alleles A and G respectively, Fig 2F. Electropherogram of the
Demographic characteristics of the cohorts.
| Character | Minimum | Maximum | Mean | St. Deviation | p |
|---|---|---|---|---|---|
| Age (y) | 24 | 82 | 48.5 | 9.628 | 0.77 |
| BMI (kg/m2) | 18.70 | 51.92 | 28.42 | 5.36 | 0.593 |
| W.B.C Count (M/ul) | 0.5 | 10.4 | 4.176 | 1.5397 | - |
Allele and genotype analysis of the ABCB1 gene polymorphism (rs10276036 C/T).
| Allele/Genotype | Freq. % | Dis. | OR | 95% CI | RR | 95% CI | p |
|---|---|---|---|---|---|---|---|
| 42.5 | Case: 30 | 1.500 | 0.679–3.312 | 1.227 | 0.818–1.842 | 0.315 | |
| Control: 25 | |||||||
| 57.5 | Case: 31 | 0.515 | 0.217–1.223 | 0.733 | 0.500–1.075 | 0.130 | |
| Control: 38 | |||||||
| 28 | Case: 16 | 1.490 | 0.618–3.592 | 1.210 | 0.809–1.811 | 0.373 | |
| Control: 12 | |||||||
| 29 | Case: 15 | 1.102 | 0.464–2.615 | 1.049 | 0.687–1.602 | 0.826 | |
| Control: 14 | |||||||
| 43 | Case: 19 | 0.664 | 0.299–1.472 | 0.812 | 0.538–1.226 | 0.313 | |
| Control: 24 |
Allele and genotype analysis of the SLC22A16 gene polymorphism (rs12210538 A/G).
| Allele/Genotype | Freq. % | Dis. | OR | 95% CI | RR | 95% CI | p |
|---|---|---|---|---|---|---|---|
| 68 | Case: 47 | 2.984 | 0.743–11.988 | 1.936 | 0.723–5.184 | 0.110 | |
| Control: 42 | |||||||
| 32 | Case: 25 | 0.786 | 0.358–1.726 | 0.887 | 0.600–1.311 | 0.548 | |
| Control: 28 | |||||||
| 47 | Case: 25 | 1.273 | 0.579–2.795 | 1.128 | 0.763–1.668 | 0.548 | |
| Control: 22 | |||||||
| 42 | Case: 22 | 1.179 | 0.532–2.610 | 1.085 | 0.733–1.607 | 0.685 | |
| Control: 20 | |||||||
| 11 | Case: 3 | 0.335 | 0.083–1.346 | 0.516 | 0.193–1.383 | 0.110 | |
| Control: 8 |
Clinical characteristics of the patients.
| Character | Freq. % | Dis. | OR | 95% CI | RR | 95% CI | p |
|---|---|---|---|---|---|---|---|
| Ductal Carcinoma | 96 | Case: 48 | 1.000 | 0.135–7.392 | 1.000 | 0.368–2.719 | 1.000 |
| Control: 48 | |||||||
| Lobular Carcinoma | 4 | Case: 2 | 1.000 | 0.135–7.392 | 1.000 | 0.368–2.719 | 1.000 |
| Control: 2 | |||||||
| Cancer Stage IA | 11 | Case: 6 | 1.227 | 0.349–4.316 | 1.103 | 0.618–1.968 | 0.749 |
| Control: 5 | |||||||
| Cancer Stage IIA | 28 | Case: 9 | 0.358 | 0.143–0.899 | 0.564 | 0.318–1.003 | 0.026 |
| Control: 19 | |||||||
| Cancer Stage IIB | 23 | Case: 10 | 0.712 | 0.279–1.818 | 0.837 | 0.501–1.398 | 0.476 |
| Control: 13 | |||||||
| Cancer Stage IIIA | 25 | Case: 15 | 1.714 | 0.683–4.301 | 1.286 | 0.861–1.920 | 0.248 |
| Control: 10 | |||||||
| Cancer Stage IIIC | 13 | Case: 10 | 3.917 | 1.008–15.220 | 1.673 | 1.150–2.434 | 0.037 |
| Control: 3 | |||||||
| Tumor Grade I | 9 | Case: 5 | 1.278 | 0.322–5.066 | 1.123 | 0.604–2.089 | 0.727 |
| Control: 4 | |||||||
| Tumor Grade II | 72 | Case: 36 | 1.000 | 0.418–2.394 | 1.000 | 0.646–1.547 | 1.000 |
| Control: 36 | |||||||
| Tumor Grade III | 19 | Case: 9 | 0.878 | 0.323–2.388 | 0.936 | 0.556–1.575 | 0.799 |
| Control: 10 | |||||||
| ER+ | 74 | Case: 36 | 0.812 | 0.332–1.989 | 0.903 | 0.590–1.383 | 0.648 |
| Control: 38 | |||||||
| PR+ | 70 | Case: 33 | 0.682 | 0.288–1.614 | 0.832 | 0.558–1.240 | 0.383 |
| Control: 37 | |||||||
| Her2+ | 52 | Case: 25 | 0.852 | 0.388–1.868 | 0.923 | 0.624–1.366 | 0.689 |
| Control: 27 |