Literature DB >> 27977754

Expression of APOBEC3B mRNA in Primary Breast Cancer of Japanese Women.

Eriko Tokunaga1, Nami Yamashita1, Kimihiro Tanaka1, Yuka Inoue1, Sayuri Akiyoshi1, Hiroshi Saeki1, Eiji Oki1, Hiroyuki Kitao2, Yoshihiko Maehara1.   

Abstract

Recent studies have identified the apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3B (APOBEC3B) as a source of mutations in various malignancies. APOBEC3B is overexpressed in several human cancer types, including breast cancer. In this study, we analyzed APOBEC3B mRNA expression in 305 primary breast cancers of Japanese women using quantitative reverse transcription-PCR, and investigated the relationships between the APOBEC3B mRNA expression and clinicopathological characteristics, prognosis, and TP53 mutations. The expression of APOBEC3B mRNA was detected in 277 tumors and not detected in 28 tumors. High APOBEC3B mRNA expression was significantly correlated with ER- and PR-negativity, high grade and high Ki67 index. The APOBEC3B mRNA expression was highest in the triple-negative and lowest in the hormone receptor-positive/HER2-negative subtypes. The TP53 gene was more frequently mutated in the tumors with high APOBEC3B mRNA expression. High APOBEC3B mRNA expression was significantly associated with poor recurrence-free survival in all cases and the ER-positive cases. These findings were almost consistent with the previous reports from the Western countries. In conclusion, high APOBEC3B mRNA expression was related to the aggressive phenotypes of breast cancer, high frequency of TP53 mutation and poor prognosis, especially in ER-positive tumors.

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Year:  2016        PMID: 27977754      PMCID: PMC5158016          DOI: 10.1371/journal.pone.0168090

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Breast cancer is a heterogeneous disease both pathologically and genetically [1, 2]. Apolipoprotein B mRNA-editing enzyme, catalytic polypeptide-like 3B (APOBEC3B) is a member of a APOBEC3 family of DNA cytosine deaminases [3]. It normally functions in the innate immune responses that protect against retrovirus and retrotransposon propagation. However, this enzyme can also deaminate cytosines in the host genome and generate C-to-T mutations. Recent studies have revealed that APOBEC3B is a significant contributor to the somatic mutation burden among several cancer types [4-7]. APOBEC3B expression is up-regulated in various malignant tumors, including breast cancer, and high APOBEC3B expression is correlated with the presence of certain somatic mutations, particularly in TP53 [4, 5, 8–10]. High APOBEC3B expression has been associated with aggressive clinicopathological characteristics and was significantly associated with a poor prognosis in untreated ER-positive (ER+) patients as well as in ER+ patients receiving adjuvant endocrine therapy [11]. In ER+/lymph-node-negative cases, APOBEC3B expression was an independent poor prognostic factor for disease-free survival (DFS) [11]. Another recent study using two large datasets also revealed that APOBEC3B expression is associated with aggressive and proliferative features. Elevated APOBEC3B expression was associated with recurrence in the luminal tumor subtype [10]. Thus, APOBEC3B is a marker of poor prognosis for ER+ breast cancer, which strongly suggests that genetic aberrations induced by APOBEC3B contribute to breast cancer progression or resistance to treatment [10, 11]. On the other hand, a germ-line deletion polymorphism in APOBEC3B, which leads to no expression of APOBEC3B, has been associated with an increased risk of breast cancer [12, 13]. Homozygosity for the APOBEC3B null allele is associated with a higher incidence of breast cancer [14]. The frequencies of this deletion differ by ethnicity: 1% in Africans, 6% in Europeans, 37% in Asians and 93% in Oceanians. [15]. Homozygous deletion of APOBEC3B did not affect the tumor aggressiveness or the prognosis [10]. In the present study, we evaluated the expression of APOBEC3B mRNA and investigated the relationships between the APOBEC3B mRNA expression and the clinicopathological features, the frequency of the mutation in the TP53 gene, and the prognosis in Japanese women with breast cancer.

Materials and Methods

Patient population and tumor specimens

The institutional review board of Kyushu University approved this study. A total of 894 primary breast cancer patients underwent surgery without neoadjuvant systemic therapy in the Department of Surgery and Science, Kyushu University, between 1994 and 2012. Of these, 305 cases for which archival tissue samples for an immunohistochemical analysis and/or extraction of the genomic DNA and total RNA were available were included in this study. Immediately after surgery, the specimens for extraction of the genomic DNA and total RNA were placed in liquid nitrogen and stored at –80°C. Written informed consent was obtained from all of the patients in this study. The clinical data were obtained from the patients’ medical records. The AJCC/UICC TNM classification and stage groupings were used. The estrogen receptor (ER), progesterone receptor (PR), HER2 status, and Ki67 labeling index were evaluated as described previously [16].

APOBEC3B mRNA expression

APOBEC3B expression was analyzed using quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Total RNA was extracted from the frozen specimens with the TRIZOL reagent (Invitrogen Japan K.K., Tokyo, Japan) in accordance with the manufacturer’s recommendations. The extracted RNA was pretreated with RNase-free DNase, and the cDNA was then synthesized with random hexamer primers and Superscript III reverse transcriptase (Invitrogen Japan K.K.) in accordance with the manufacturer’s instructions. The APOBEC3B mRNA expression was normalized to that of the constitutive housekeeping gene TATA binding protein (TBP) [17]. The primers and probe were Hs00358981-m1 for APOBEC3B and Hs00427620-m1 for TBP (Applied Biosystems, Waltham, MA, USA).

PCR direct sequencing of the TP53 gene and single-nucleotide polymorphism- comparative genomic hybridization

Genomic DNA was extracted as described previously [18, 19]. PCR direct sequencing was performed for exon 5–9 of the TP53 gene as previously described [18]. The presence of genetic alterations was investigated by single-nucleotide polymorphism- comparative genomic hybridization (SNP-CGH, HumanOmni1-Quad BeadChip; Illumina Inc.), and the copy number variation was analyzed with the software program GenomeStudio V2009.1 (Illumina Inc.) as described previously [18, 20].

Statistical analyses

The statistical analyses were performed using the JMP software package, version 9.0.2 (SAS Institute Inc., Cary, NC, USA). The associations between the APOBEC3B mRNA expression and clinicopathological characteristics were assessed using χ2 tests. The relapse-free survival (RFS) was defined as the time from surgery to the first breast cancer event, including loco-regional recurrence, distant metastasis, or a new cancer in the contralateral breast. Survival curves were plotted using the Kaplan–Meier method and the association between survival and each variable was determined by the log-rank test. For multivariate analysis of the survival data, Cox proportional hazards model was used. Differences were considered to be significant at p < 0.05.

Results

Of the 305 cases evaluated, expression of APOBEC3B mRNA was not detected in 28 tumors, which was defined as “no” APOBEC3B mRNA expression. Among 277 tumors, in which APOBEC3B mRNA expression was detected, APOBEC3B mRNA expression was dichotomized based on the median value as either “low” or “high” expression. The associations between the APOBEC3B mRNA expression and the clinicopathological characteristics were compared among three groups: no, low, or high APOBEC3B mRNA expression (Table 1).
Table 1

The association between APOBEC3B mRNA expression and clinicopathological characteristcs.

Factorsnone (n = 28)APOBEC3B mRNA expressionP-value
low (n = 139)high (n = 138)
Age (yo) (mean ± SE)53.2 ± 2.556.4 ± 1.155.5 ± 1.10.4863
Nodal status
Negative21 (75.0)89 (64.0)85 (61.6)0.3869
Positive7 (25.0)50 (36.0)53 (38.4)
pathological tumor size (pT)
00 (0)5 (2.9)5 (2.9)0.8032
110 (42.9)58 (38.4)51 (36.0)
215 (50.0)65 (46.4)71 (45.6)
33 (7.1)11 (10.1)11 (14.0)
Histology
DCIS0(0)5 (3.6)5 (3.6)0.2574
Invasive ductal ca25 (89.3)125 (89.9)123 (89.1)
Invasive lobular ca1 (3.6)4 (2.9)4 (2.9)
Metaplastic ca0 (0)1 (0.7)5 (3.6)
Others2 (7.1)4 (2.9)1 (0.7)
Nuclear grade
17 (26.9)75 (55.6)24 (18.6)<0.001
26 (23.1)24 (17.8)32 (24.8)
313 (50.0)36 (26.7)73 (56.6)
Ki67 labeling index (mean ± SE)
21.9 ± 4.720.2 ± 2.333.1 ± 2.30.0002
ER
Negative5 (17.9)20 (14.4)60 (43.5)<0.001
Positive23 (82.1)119 (85.6)78 (56.5)
PR
Negative8 (28.6)31 (22.3)70 (51.1)<0.001
Positive20 (71.4)108 (77.7)67 (48.9)
HER2
Negative17 (60.7)116 (86.6)95 (72.0)0.002
Positive10 (35.7)18 (13.4)37 (28.0)
N.D.1 (3.6)0 (0)0 (0)
Subtype
HR+/HER2-14 (50.0)104 (77.6)63 (47.7)<0.001
HR+/HER2+8 (28.6)11 (8.2)15 (11.4)
HR-/HER+2 (7.1)7 (5.2)22 (16.7)
Triple negative3 (10.7)12 (9.0)32 (24.2)
N.D.1 (3.6)0 (0)0 (0)
(%)

pT; pathological tumor size, HR; horomne receptor, ND; not determined

pT; pathological tumor size, HR; horomne receptor, ND; not determined High APOBEC3B mRNA expression was significantly correlated with higher nuclear grade (p<0.0001), higher Ki67 labeling index (p = 0.0002) and ER and PR negativity (p<0.0001 and p<0.0001). There were no significant associations between the APOBEC3B mRNA expression and the age, lymph node metastasis, pathological stage and histology. HER2 positivity was highest in the tumors with no APOBEC3B mRNA expression, and lowest in the tumors with low APOBEC3B mRNA expression (p = 0.0023). In terms of breast cancer subtype, high APOBEC3B mRNA expression was significantly associated with the triple negative (TN) subtype. Low APOBEC3B mRNA expression was associated with HR+/HER2- subtype, and no expression was most frequent in HR+/HER2+ subtype (p<0.0001) (Table 1). Intriguingly, the tumors lacking APOBEC3B mRNA expression seemed to be more aggressive than those with low APOBEC3B mRNA expression, due to higher nuclear grade and higher HER2-positivity. Fig 1 shows the APOBEC3B mRNA expression according to the clinicpoathplogical factors. In Fig 1, the relative APOBEC3B mRNA expression level normalized by TBP mRNA level was shown. The data from tumors without APOBEC3B mRNA expression were excluded. Relative APOBEC3B mRNA expression were higher in high-nuclear-grade (p<0.0001), ER–(p<0.0001), PR–(p<0.0001) tumors. APOBEC3B mRNA expression was also higher in tumors with high Ki67 index (p = 0.0003) and TN tumors (p<0.0001) (Fig 1).
Fig 1

APOBEC3B mRNA expression according to the clinicopathological factors.

APOBEC3B mRNA expression was significantly higher in higher grade, ER−, PR− and high-Ki67 tumors. APOBEC3B mRNA expression was highest in TN tumors. HR; hormone receptor.

APOBEC3B mRNA expression according to the clinicopathological factors.

APOBEC3B mRNA expression was significantly higher in higher grade, ER−, PR− and high-Ki67 tumors. APOBEC3B mRNA expression was highest in TN tumors. HR; hormone receptor.

Association between APOBEC3B mRNA expression and the patient prognosis

The association between APOBEC3B mRNA expression and the patient prognosis was examined in 295 invasive breast cancer patients.The median follow-up period was 4.93years (range, 0.5–19.9 years). Fig 2 shows the prognosis data of the patients with high and low APOBEC3B mRNA expression. As shown in Fig 2, high APOBEC3B mRNA expression was associated with shorter RFS compared with than low expression (p = 0.0333, Fig 2A). While APOBEC3B mRNA expression was not associated with RFS in ERtumors (Fig 2B), high APOBEC3B mRNA expression was significantly associated with shorter RFS in ER+ tumors (p = 0.0342, Fig 2C), especially in the patients who had received adjuvant endocrine therapy (p = 0.0042, Fig 2D) or the node-negative patients (p = 0.0132, Fig 2E). There were no statistically significant differences in the prognosis between high and no APOBEC3B mRNA expression, and no marked differences were recognized in the prognosis between low and no APOBEC3B mRNA expression (data not shown).
Fig 2

The relationship between APOBEC3B mRNA and the prognosis (relapse-free survival).

A. All cases, B. ER− cases, C. ER+ cases, D. ER+ and adjuvant endocrine+ cases, E. ER+ and node-negative cases. High APOBEC3B expression was associated with shorter relapse-free survival in all cases, ER+ cases, ER+ with adjuvant endocrine therapy cases and ER+ and node-negative cases (A, C, D, E).

The relationship between APOBEC3B mRNA and the prognosis (relapse-free survival).

A. All cases, B. ER− cases, C. ER+ cases, D. ER+ and adjuvant endocrine+ cases, E. ER+ and node-negative cases. High APOBEC3B expression was associated with shorter relapse-free survival in all cases, ER+ cases, ER+ with adjuvant endocrine therapy cases and ER+ and node-negative cases (A, C, D, E). Univariate and multivariate analyses were performed to assess the effect of the clinicopathological factors on the RFS (Table 2). The “no expression cases” were not included in “low expression group”. According to the univariate analysis, high APOBEC3B mRNA expression was significantly associated with poor RFS in all cases and ER+ cases. However, a multivariate Cox hazard analyses analysis showed that high APOBEC3B mRNA was not an independent prognostic factor. When analyzing the ER+ with adjuvant endocrine therapy or LN-negative ER+ cases, high APOBEC3B mRNA expression was significantly associated with poor RFS on both univariate and multivariate analyses (Table 2).
Table 2

Univariate and multivariate analysis for recurrence-free survival.

FactorsUnivariate analysisMultivariate analysis
HR95% CIP valueHR95% CIP value
All cases (n = 267)
 Age (y.o.)≤40 vs. 41≤1.730.32–1.140.1074
 Tumor sizeT2, T3 vs. T12.701.56–4.930.00032.001.06–3.96
 LN meta.positive vs. negative2.591.55–4.410.00031.941.07–3.54
 Nuclear grade3 vs. 1, 22.101.22–3.650.00761.490.77–2.89
 ERpositive vs. negative0.500.30–0.840.00990.970.42–2.21
 PRpositive vs. negative0.400.23–0.670.00050.440.20–0.97
 HER2positive vs. negative1.981.09–3.450.02531.000.50–1.96
APOBEC3B mRNAhigh vs. low1.761.05–3.020.03241.260.71–2.31
ER-negative cases (n = 76)
 Age (y.o.)≤40 vs. 41≤1.130.27–3.260.8480
 Tumor sizeT2, T3 vs. T13.491.47–9.600.00372.491.01–7.030.0463
 LN meta.positive vs. negative4.501.97–11.10.00033.631.56–9.190.0027
 Nuclear grade3 vs. 1, 20.740.30–2.060.5350
 PRpositive vs. negative0.550.03–2.610.5229
 HER2positive vs. negative1.270.56–2.800.5521
APOBEC3B mRNAhigh vs. low0.660.29–1.610.3420
ER-positive cases (n = 191)
 Age (y.o.)≤40 vs. 41≤2.471.08–5.140.03293.441.37–7.94
 Tumor sizeT2, T3 vs. T12.291.13–5.000.02072.431.13–5.69
 LN meta.positive vs. negative1.720.87–3.440.1151
 Nuclear grade3 vs. 1, 22.631.24–5.490.01272.070.92–4.30
 PRpositive vs. negative0.390.19–0.900.02820.310.14–0.74
 HER2positive vs. negative2.220.82–5.120.1102
APOBEC3B mRNAhigh vs. low2.071.05–4.190.03641.410.67–3.01
ER-positive with adjuvant endocrine therapy cases (n = 147)
 Age (y.o.)≤40 vs. 41≤1.890.53–5.270.2938
 Tumor sizeT2, T3 vs. T11.700.67–4.860.2679
 LN meta.positive vs. negative1.130.44–2.810.7853
 Nuclear grade3 vs. 1, 21.930.67–5.040.2103
 PRpositive vs. negative0.230.07–0.740.01600.300.11–0.970.0440
 HER2positive vs. negative1.470.24–4.470.5592
APOBEC3B mRNAhigh vs. low3.731.47–10.60.00523.281.27–9.450.0138
ER-positive and LN-negative cases (n = 117)
 Age (y.o.)≤40 vs. 41≤1.970.55–5.810.2727
 Tumor sizeT2, T3 vs. T13.811.33–12.40.01213.401.00–13.40.0493
 Nuclear grade3 vs. 1, 23.321.06–10.10.03941.540.44–5.310.4875
 PRpositive vs. negative0.690.19–4.450.6460
 HER2positive vs. negative4.081.11–12.30.03562.730.63–10.70.1672
APOBEC3B mRNAhigh vs. low3.571.27–11.50.01584.511.31–18.30.0169

LN meta.; lymph node metastasis, ER; estrogen receptor, PR; progesterone receptor

LN meta.; lymph node metastasis, ER; estrogen receptor, PR; progesterone receptor

Associations between APOBEC3B mRNA expression and TP53 mutation

We next examined the relationship between APOBEC3B mRNA expression and a mutation in the TP53 gene, exon 5–9. We evaluated the TP53 sequence in 28 tumors lacking APOBEC3B as well as in 60 tumors with low and 60 tumors with high APOBEC3B mRNA expression. Any mutations in TP53 gene were evaluated. Confirmation whether it is non-germline SNPs or not was not performed. Mutations in the TP53 gene were detected in 15 (25%), 7 (11.9%) and 2 (7.1%) tumors with high, low and no APOBEC3B mRNA expression, respectively. High APOBEC3B mRNA expression was significantly associated with high frequencies of the TP53 mutation compared with no or low APOBEC3B mRNA (p = 0.0312, Table 3).
Table 3

The association between APOBEC3B mRNA expression and TP53 gene mutation.

TP 53APOBEC3B mRNAP-value
exon 5–9none (n = 28) or low (n = 60)high (n = 60)
wild-type78 (88.6)45 (75.0)0.0312
mutant10 (11.4)15 (25.0)
(%)

Deletion at the APOBEC3B gene locus in the tumor lacking APOBEC3B mRNA expression

SNP-CGH data were available for 26 tumors. Of these, apparent deletion of APOBEC3B gene locus was recognized in only one case (Fig 3). In this case, no APOBEC3B mRNA expression was detected. The lack of APOBEC3B mRNA may have been associated with the deletion of the APOBEC3B gene locus in this case.
Fig 3

Deletion of APOBEC3B gene locus at chromosome 22 analyzed by SNP-CGH.

An apparent deletion was recognized at the APOBEC3B gene locus (arrow). In this case, APOBEC3B mRNA expression was not detected.

Deletion of APOBEC3B gene locus at chromosome 22 analyzed by SNP-CGH.

An apparent deletion was recognized at the APOBEC3B gene locus (arrow). In this case, APOBEC3B mRNA expression was not detected.

Discussion

In this study, we demonstrated that high expression of APOBEC3B mRNA was significantly associated with aggressive phenotypes of breast cancer and poor RFS. The poor prognosis of the patients with high-expression tumors are more significant in ER+ tumors, especially in patients who had received adjuvant endocrine therapy and node-negative patinets. High expression of APOBEC3B mRNA was also associated with TP53 gene mutation. We also found that there are some individuals in which APOBEC3B mRNA could not be detected, and these tumors are more often HER2-positive, relatively high grade, and have low frequencies of TP53 mutation, with a deletion of the APOBEC3B gene locus observed in one particular case. This is the first study to evaluate the relationship between APOBEC3B mRNA expression and the clinicopathological factors, prognosis, and TP53 mutation status in a large cohort of Japanese breast cancer patients including tumors lacking APOBEC3B mRNA expression. In a previous study conducted in a large cohort of breast cancer cases, the APOBEC3B mRNA levels were significantly higher in subjects with a high tumor grade and ER—and PRtumors [11]. These results are consistent with the data obtained in our study. Sieuwerts et al. showed that high APOBEC3B mRNA expression was associated with poor prognosis in ER+ breast cancer, and that high APOBEC3B mRNA expression was an independent prognostic factor in ER+, lymph-node-negative patients [11]. In our study, high APOBEC3B mRNA was expression significantly associated with poor RFS in all cases as well as ER+ cases, although not to a statistically significant degree in multivariate analyses. However, the analysis for ER+, lymph-node-negative patients revealed that high APOBEC3B mRNA expression was an independent poor prognostic factor. There was substantial heterogeneity in our data, probably due to the small sample size. However, the fact that similar results were obtained is very meaningful. Previous studies have shown the association of APOBEC3B for the elevated levels of DNA damage and mutation in several breast cancer cell lines [4, 5, 21]. APOBEC3B knockdown cells had fewer C-to-T mutations in the TP53 and c-Myc genes than controls [4, 5]. Moreover, in tumors with TP53 mutations, APOBEC3B expression was elevated [10]. TP53 mutations are common in breast cancer, and approximately 30% of breast cancers harbor a somatic mutation in the TP53 gene [9, 22, 23]. Thus, high expression of APOBEC3B might cause TP53 mutation in breast cancer. In our study, the frequency of the TP53 gene mutation was also higher in tumors with high APOBEC3B mRNA expression than in those with low or lacking APOBEC3B mRNA expression. Although the mechanism of the upregulation of APOBEC3B mRNA expression has not been been fully elucidated, a recent study showed the induction of APOBEC3B in vitro by environmental factors such as DNA damage and viral infection [24]. It has been shown that APOBEC3B is lacking in some people due to a deletion polymorphism near the APOBEC3B gene [14, 25]. There is a large ethnic difference in the frequency of the deletion. The incidence of APOBEC3B deletion polymorphism is higher in East-Asian, American and Oceanian populations than in African and European populations [25]. In our study, the tumor in which APOBEC3B gene locus was deleted did not express APOBEC3B mRNA. Thus, the deletion of APOBEC3B gene locus might be a mechanism of lacking APOBEC3B mRNA in this tumor. Tsuboi et al. recently reported on the APOBEC3B mRNA expression in Japanese breast cancer patients [26]. In their report, APOBEC3B mRNA expression was not related to the frequency of TP53 mutation or survival time, although the high APOBEC3B mRNA expression were associated with subtype, lymph node metastasis and nuclear grade. However, they analyzed only 93 cases, a smaller sample size than ours. Therefore, their results were not conclusive. Several limitations associated with the present study warrant mention. This study is retrospective, and the sample size is smaller than those of previous reports from European populations. There was also substantial heterogeneity in the background of the patients. However, we were able to demonstrate that high APOBEC3B mRNA expression is associated with the aggressiveness of breast cancer and a poor prognosis in ER+ breast cancer, regardless of ethnic difference.

Conclusions

Our findings here suggest that high APOBEC3B mRNA expression is associated with aggressive phenotypes, high frequency of TP53 mutation, and poor prognosis of breast cancer, especially for ER+ breast cancer.
  26 in total

Review 1.  APOBEC3 genes: retroviral restriction factors to cancer drivers.

Authors:  Stephen Henderson; Tim Fenton
Journal:  Trends Mol Med       Date:  2015-03-25       Impact factor: 11.951

2.  Association of germline variants in the APOBEC3 region with cancer risk and enrichment with APOBEC-signature mutations in tumors.

Authors:  Candace D Middlebrooks; A Rouf Banday; Konichi Matsuda; Krizia-Ivana Udquim; Olusegun O Onabajo; Ashley Paquin; Jonine D Figueroa; Bin Zhu; Stella Koutros; Michiaki Kubo; Taro Shuin; Neal D Freedman; Manolis Kogevinas; Nuria Malats; Stephen J Chanock; Montserrat Garcia-Closas; Debra T Silverman; Nathaniel Rothman; Ludmila Prokunina-Olsson
Journal:  Nat Genet       Date:  2016-09-19       Impact factor: 38.330

3.  Evidence for APOBEC3B mutagenesis in multiple human cancers.

Authors:  Michael B Burns; Nuri A Temiz; Reuben S Harris
Journal:  Nat Genet       Date:  2013-07-14       Impact factor: 38.330

4.  APOBEC3B expression in breast cancer reflects cellular proliferation, while a deletion polymorphism is associated with immune activation.

Authors:  David W Cescon; Benjamin Haibe-Kains; Tak W Mak
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-17       Impact factor: 11.205

5.  Loss of heterozygosity at BRCA1 locus is significantly associated with aggressiveness and poor prognosis in breast cancer.

Authors:  Satoko Okada; Eriko Tokunaga; Hiroyuki Kitao; Sayuri Akiyoshi; Nami Yamashita; Hiroshi Saeki; Eiji Oki; Masaru Morita; Yoshihiro Kakeji; Yoshihiko Maehara
Journal:  Ann Surg Oncol       Date:  2011-12-17       Impact factor: 5.344

Review 6.  TP53 and breast cancer.

Authors:  Anne-Lise Børresen-Dale
Journal:  Hum Mutat       Date:  2003-03       Impact factor: 4.878

7.  APOBEC3B is an enzymatic source of mutation in breast cancer.

Authors:  Michael B Burns; Lela Lackey; Michael A Carpenter; Anurag Rathore; Allison M Land; Brandon Leonard; Eric W Refsland; Delshanee Kotandeniya; Natalia Tretyakova; Jason B Nikas; Douglas Yee; Nuri A Temiz; Duncan E Donohue; Rebecca M McDougle; William L Brown; Emily K Law; Reuben S Harris
Journal:  Nature       Date:  2013-02-06       Impact factor: 49.962

Review 8.  The APOBEC3 family of retroelement restriction factors.

Authors:  Eric W Refsland; Reuben S Harris
Journal:  Curr Top Microbiol Immunol       Date:  2013       Impact factor: 4.291

9.  APOBEC3B mutagenesis in cancer.

Authors:  Kawai J Kuong; Lawrence A Loeb
Journal:  Nat Genet       Date:  2013-09       Impact factor: 38.330

10.  Mutational heterogeneity in cancer and the search for new cancer-associated genes.

Authors:  Michael S Lawrence; Petar Stojanov; Paz Polak; Gregory V Kryukov; Kristian Cibulskis; Andrey Sivachenko; Scott L Carter; Chip Stewart; Craig H Mermel; Steven A Roberts; Adam Kiezun; Peter S Hammerman; Aaron McKenna; Yotam Drier; Lihua Zou; Alex H Ramos; Trevor J Pugh; Nicolas Stransky; Elena Helman; Jaegil Kim; Carrie Sougnez; Lauren Ambrogio; Elizabeth Nickerson; Erica Shefler; Maria L Cortés; Daniel Auclair; Gordon Saksena; Douglas Voet; Michael Noble; Daniel DiCara; Pei Lin; Lee Lichtenstein; David I Heiman; Timothy Fennell; Marcin Imielinski; Bryan Hernandez; Eran Hodis; Sylvan Baca; Austin M Dulak; Jens Lohr; Dan-Avi Landau; Catherine J Wu; Jorge Melendez-Zajgla; Alfredo Hidalgo-Miranda; Amnon Koren; Steven A McCarroll; Jaume Mora; Brian Crompton; Robert Onofrio; Melissa Parkin; Wendy Winckler; Kristin Ardlie; Stacey B Gabriel; Charles W M Roberts; Jaclyn A Biegel; Kimberly Stegmaier; Adam J Bass; Levi A Garraway; Matthew Meyerson; Todd R Golub; Dmitry A Gordenin; Shamil Sunyaev; Eric S Lander; Gad Getz
Journal:  Nature       Date:  2013-06-16       Impact factor: 49.962

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  8 in total

1.  APOBEC3B expression in breast cancer cell lines and tumors depends on the estrogen receptor status.

Authors:  Krizia-Ivana Udquim; Clara Zettelmeyer; A Rouf Banday; Seraph Han-Yin Lin; Ludmila Prokunina-Olsson
Journal:  Carcinogenesis       Date:  2020-08-12       Impact factor: 4.944

2.  The DNA deaminase APOBEC3B interacts with the cell-cycle protein CDK4 and disrupts CDK4-mediated nuclear import of Cyclin D1.

Authors:  Jennifer L McCann; Madeline M Klein; Evelyn M Leland; Emily K Law; William L Brown; Daniel J Salamango; Reuben S Harris
Journal:  J Biol Chem       Date:  2019-06-19       Impact factor: 5.157

3.  ATR Inhibition Is a Promising Radiosensitizing Strategy for Triple-Negative Breast Cancer.

Authors:  Xinyi Tu; Mohamed M Kahila; Qin Zhou; Jia Yu; Krishna R Kalari; Liewei Wang; William S Harmsen; Jian Yuan; Judy C Boughey; Matthew P Goetz; Jann N Sarkaria; Zhenkun Lou; Robert W Mutter
Journal:  Mol Cancer Ther       Date:  2018-08-30       Impact factor: 6.261

4.  APOBEC3B Nuclear Localization Requires Two Distinct N-Terminal Domain Surfaces.

Authors:  Daniel J Salamango; Jennifer L McCann; Özlem Demir; William L Brown; Rommie E Amaro; Reuben S Harris
Journal:  J Mol Biol       Date:  2018-05-19       Impact factor: 5.469

Review 5.  APOBEC3B, a molecular driver of mutagenesis in human cancers.

Authors:  Jun Zou; Chen Wang; Xiangyi Ma; Edward Wang; Guang Peng
Journal:  Cell Biosci       Date:  2017-05-30       Impact factor: 7.133

6.  APOBEC3B gene expression as a novel predictive factor for pathological complete response to neoadjuvant chemotherapy in breast cancer.

Authors:  Yoshitaka Fujiki; Yutaka Yamamoto; Aiko Sueta; Mutsuko Yamamoto-Ibusuki; Lisa Goto-Yamaguchi; Mai Tomiguchi; Takashi Takeshita; Hirotaka Iwase
Journal:  Oncotarget       Date:  2018-07-17

7.  APOBEC3B is overexpressed in cervical cancer and promotes the proliferation of cervical cancer cells through apoptosis, cell cycle, and p53 pathway.

Authors:  Zhi Wei; Jianfeng Gan; Xuan Feng; Mo Zhang; Zhixian Chen; Hongbo Zhao; Yan Du
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

8.  GATA3 and APOBEC3B are prognostic markers in adrenocortical carcinoma and APOBEC3B is directly transcriptionally regulated by GATA3.

Authors:  Sudheer Kumar Gara; Monica Varun Tyagi; Dhaval Thakkur Patel; Kelli Gaskins; Justin Lack; Yi Liu; Electron Kebebew
Journal:  Oncotarget       Date:  2020-09-08
  8 in total

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