RECQL is a number of the RecQ DNA helicase family and plays an important role in maintaining genome stability. Although several studies have reported that RECQL mutations were correlated with the susceptibility to breast cancer, the effect on prognosis in breast cancer was not yet clarified. Here, we explored the association between RECQL expression level and survival in patients with breast cancer.
Methods
In the first cohort, the RECQL mRNA expression level was evaluated in 774 primary breast cancer patients using a quantitative real-time PCR assay. Then, in the second independent cohort, the level of RECQL protein expression was detected in 322 patients with breast cancer using immunohistochemistry assay. Survival curves of patients with RECQL expression were compared using the Kaplan-Meier method with log-rank test.
Results
In the first cohort of 774 breast cancer patients, the low expression level of RECQL mRNA was significantly correlated with aggressive clinicopathological characteristics, including the positive lymph node status (P = 0.026), HER2 overexpression (P < 0.001), ER negative status (P = 0.047) and high tumor grade (P = 0.041). Moreover, the low expression level of RECQL mRNA was significantly associated with poor distant recurrence-free survival (DRFS, unadjusted hazard ratio (HR): 2.77, 95% confidence interval (CI): 1.88–4.09, P < 0.001) and disease-specific survival (DSS, unadjusted HR: 3.10, 95% CI: 1.84–5.20,P < 0.001), and it remained an independent unfavorable factor for DRFS and DSS (DRFS: adjusted HR: 3.04, 95% CI: 1.89–4.87, P < 0.001; DSS: adjusted HR: 4.25, 95% CI: 2.12–8.46, P < 0.001). In the second cohort of 322 breast cancer patients, low expression of RECQL protein was also subject to poor survival in breast cancer, and it was an independent prognosis factor of poor DRFS by multivariate analysis (DRFS: adjusted HR: 2.12, 95% CI: 1.16–3.88, P = 0.015).
Conclusions
Breast cancer patients with low RECQL expression had a worse survival. The expression level of RECQL may be a potential prognosis factor for breast cancer.
Huiying Xu and Ye Xu contributed equally to this work.
Abkürzungen
CI
Confidence interval
DRFS
Distant recurrence-free survival
DSS
Disease-specific survival
ER
Estrogen receptor
HER2
Human epidermal growth factor receptor-2
HR
Hazard ratio
IHC
Immunohistochemical
PCR
Polymerase chain reaction
PR
Progesterone receptor
TNM
Tumor node metastasis
Background
At present, breast cancer was one of the most prevalent cancers among women in the world, and seriously threatened the health of women [1]. Because of the biological heterogeneity of breast cancer, defining accurate prognostic and predictive biomarkers may be in favor of designing effective treatments for breast cancer patients [2].
RECQL is an ATP-dependent DNA helicase enzyme, which belongs to the family of RecQ helicase that plays an important role in mismatch repair, nucleotide excision repair and direct repair [3, 4]. RecQ helicase in human includes five members, namely RECQL, BLM, WRN, RECQL4 and RECQL5. Previous studies showed that the germline mutations in BLM, WRN and RECQL4 had high predisposition to cancer and premature aging [3, 4]. RECQL is the most abundant DNA helicase enzyme among RecQ helicase family and also has critical biological functions. RECQL has been shown to involve in DNA replication [5, 6], transcription [7], recombination [8] and repair [9, 10], restart stalled replication forks [11‐13], and telomere maintenance [14]. Compared with wild-type mice, mice with deficient RECQL hadn’t any apparent phenotypic differences, but embryonic fibroblasts from RECQL-deficient mice exhibited many signs of genomic instability, such as aneuploidy, spontaneous, chromosomal breakage and frequent translocation events [15]. Besides, human RECQL-deficient cells turned out to be chromosomal instability, and hypersensitive to ionizing radiation [10, 15]. These results indicated that RECQL played an important role in maintaining genomic stability.
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Previously, our lab and Cybulski et al. reported that RECQL gene mutations were correlated with high risk of breast cancer independently in Chinese [16] and Caucasian populations [17]. Kwong et al. also found six germline mutations in RECQL gene in 1110 patients with high risk breast cancer in Hong Kong [18]. At present, RECQL was demonstrated as a moderate breast cancer susceptibility gene and a tumor suppressor. Earlier studies revealed that single nucleotide polymorphisms of RECQL affected clinical prognosis of patients with pancreatic cancer [19, 20]. Nevertheless, few studies were performed on the specific effect of RECQL expression on breast cancer outcomes. In this study, we investigated the association between RECQL mRNA and protein expression and survival of breast cancer in two independent cohorts.
Methods
Study population
In the first cohort, the study samples were pretreatment core-needle biopsy specimens of 834 primary breast cancer patients (stage I-III) who were treated at the Breast Center, Peking University Cancer Hospital from 2004 to 2011. Of these, 60 specimens failed to assess the level of RECQL mRNA expression due to the poor quality of the RNA samples. Thus, a total of 774 breast cancer patients were analyzed in the first cohort. The patients’ age at diagnosis ranged from 25 to 93 years, whose median was 52 years. According to medical records, patients received either a mastectomy (n = 445) or a breast-conserving surgery (n = 294). The majority of patients received adjuvant therapy, including chemotherapy, endocrine therapy, or chemotherapy in combination with endocrine therapy. Thirty-five patients received adjuvant trastuzumab therapy (Table 1). The median follow-up of all 774 patients was 82 months (range 2 to 140 months). During follow-up period, 150 patients experienced distant recurrences or died of the disease.
Table 1
Association between RECQL mRNA Expression and Clinicopathologic Characteristics (N = 774)
Characteristic
No.
RECQL mRNA expression
P
Low
High
No.
%
No.
%
Total
774
387
50.0
387
50.0
Age
≤ 50 yr
331
168
43.4
163
42.1
0.72
> 50 yr
443
219
56.6
224
57.9
Tumor size
≤ 2 cm
298
142
36.7
156
40.3
0.30
> 2 cm
476
245
63.3
231
59.7
Tumor grade
I
186
85
22.7
101
26.6
0.041
II
443
215
57.5
228
60.2
III
124
74
19.8
50
13.2
Unknown
21
13
8
Lymph node status
Negative
510
239
65.5
271
73.0
0.026
Positive
226
126
34.5
100
27.0
Unknown
38
22
16
ER status
Negative
223
124
32.1
99
25.6
0.047
Positive
549
262
67.9
287
74.4
Unknown
2
1
1
PR status
Negative
302
160
42.0
142
37.1
0.16
Positive
462
221
58.0
241
62.9
Unknown
10
6
4
HER2 status
Negative
556
254
66.0
302
78.2
< 0.001
Positive
215
131
34.0
84
21.8
Unknown
3
2
1
Ki-67
High
445
233
62.3
212
55.9
0.08
Low
308
141
37.7
167
44.1
Unknown
21
13
8
Subtype
Luminal A
173
76
19.8
97
25.1
0.003
Luminal B(HER2-)
268
119
30.1
149
38.6
Luminal B(HER2+)
123
78
20.3
45
11.7
HER2+
92
53
13.8
39
10.1
TN
114
58
15.1
56
14.5
Unknown
4
3
1
Adjuvant Therapy
C
157
83
21.4
74
19.1
0.011
E
281
121
31.3
160
41.3
C + E
245
127
32.8
118
30.5
No therapy
91
56
14.5
35
9.0
Trastuzumab use
No
739
372
96.1
367
94.8
0.39
Yes
35
15
3.9
20
5.2
Surgery type
BCS
294
137
37.4
157
42.1
0.20
Mastectomy
445
229
62.6
216
57.9
Unknown
35
21
14
Abbreviations: ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor-2; TN, triple negative; C, chemotherapy; E, endocrinotherapy; C + E, chemotherapy and endocrinotherapy; BCS, breast-conserving surgery
Comments: luminal A: ER+ or PR ≥ 20%, HER2-, Ki-67 < 14%; luminal B (HER2-): ER+ and HER2-, Ki-67 ≥ 14% or PR−/< 20%, luminal B (HER2+): ER+ and HER2+; HER2(+): ER- and PR-, HER2+; TN: ER- and PR-, HER2-
To further clarify the conformance to the results of the first cohort, we analyzed another independent cohort of patients in this study (cohort 2). In cohort 2, paraffin blocks of tumor tissues were available for 358 primary breast cancer patients (stage I-III) who were treated at Breast Center, Peking University Cancer Hospital from January 2001 to June 2002. Among these, 18 patients lost the follow-up, and 18 tumor specimens were failed to assess RECQL staining because of tissue loss during the experiment. Finally, 322 patients were analyzed in cohort 2. The mean patients’ age was 50 years (range 25 to 88 years), and the median follow-up of these patients was 98 months (range 2 to 129 months). All patients received modified radical mastectomy surgery. The majority of patients (90.4%, 291/322) received adjuvant therapy after surgery. None of them received adjuvant trastuzumab therapy (Table 2).
Table 2
Association between RECQL Protein Expression and Clinicopathologic Characteristic (N = 322)
Characteristic
No.
RECQL protein expression
Low
High
p
No.
%
No.
%
Total
322
133
41.3
189
58.7
Age
≤ 50 yr
153
74
54.4
82
43.4
0.07
> 50 yr
169
62
45.6
107
56.6
Tumor size
≤ 2 cm
112
48
45.7
64
43.5
0.73
> 2 cm
140
57
54.3
83
56.5
Unknown
70
28
42
Lymph node status
Negative
168
75
59.1
93
51.1
0.17
Positive
141
52
40.9
89
48.9
Unknown
13
6
7
ER status
Negative
100
44
43.6
56
35.9
0.22
Positive
157
57
56.4
100
64.1
Unknown
65
30
33
PR status
Negative
101
33
33.3
68
43.3
0.11
Positive
155
66
66.7
89
56.7
Unknown
66
34
32
HER2 status
Negative
233
98
78.4
135
78.0
0.94
Positive
65
27
21.6
38
22.0
Unknown
24
8
16
TN
Yes
29
7
7.8
22
14.8
0.19
No
210
83
92.2
127
85.2
Unknown
83
43
40
Adjuvant Therapy
C
124
58
43.6
66
34.9
0.463
E
20
7
5.3
13
6.9
C + E
147
56
42.1
91
48.1
No therapy
31
12
9.0
19
10.1
Abbreviations: ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor-2; TN, triple negative; C, chemotherapy; E, endocrinotherapy; C + E, chemotherapy and endocrinotherapy
The tumor size, grade, and stage were classified as same as our previous study [21]. This study was approved by the Research and Ethical Committee of Peking University Cancer Hospital.
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Pathology
These breast cancer tissues were obtained by the core-needle biopsy, estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) were determined by an immunohistochemical (IHC) assay as described previously [21]. In the present study, ER or PR was considered positive when it had ≥1% positive nuclear staining tumor cells. HER2 was deemed to be positive when its immunohistochemical score was 3+ or the fluorescence in situ hybridization assay showed HER2 gene amplification [22].
RECQL mRNA expression analysis by real-time quantitative PCR
In cohort 1, breast tumor RNA extracting and then transcribing RNA to cDNA were done according to the manufacturer’s instructions as described previously [23].
Real-time PCR of the RECQL gene was performed as described previously [23]. The primers for target gene RECQL were as follow: 5’- ACAAAATGTGCGATAACTGCTG-3’ and 5’-GCACCCTTTCCCATCCAAGA-3’. The sequences of the primers for endogenous control β-actin were 5’-GACAGGATGCAGAAGGAGATCACT-3’ and 5’-GTCAAGAAAGGGTGTAACGCAACT-3’. The PCR conditions were: 95 °C for 5 min followed by 40 cycles of 95 °C for 5 s, 60 °C for 30 s and final stage was followed by a melting curve from 60 °C to 95 °C. Each sample was assayed in triplicate with RNase-free water as negative control. Relative RECQL mRNA expression quantifications were calculated according to the formula 2 –ΔΔCt. In the experiment, β-actin was an endogenous control and 293 cell line RNA control was a calibrator in each plate. The result showed the mean amplification efficiency of RECQL is 97% and β-actin’s is 94%. A melting curve analysis was completed to confirm the specificity of amplification in the each run.
Median of the relative gene expression values was selected as cutoff value to estimate the level of RECQL expression. Patients whose relative gene expression values were above the cutoff value were considered to be high expression of RECQL mRNA, while the rest of patients were low expression. Therefore, the 774 patients were divided into the high mRNA expression group (n = 387) and the low mRNA expression group (n = 387).
RECQL protein expression analysis by immunohistochemical assay
In cohort 2, the tumor section (4 μm thick) was used for immunohistochemical staining. At first, tissue slides were dewaxed twice with xylene, then rehydrated through a graded alcohol series and immersed for 20 min in a 3% hydrogen peroxide buffer. After ddH2O rinsing, the tissue slides were putted into a box filled with EDTA buffer (pH 9.0) and then putted the box into a water bath at 95 °C for 25 min to retrieve antigen. The tissue slides were washed with 1× PBS for 5 min, blocked with normal goat serum for 30 min, and then incubated overnight at 4 °C in a humidified chamber with the primary anti-RECQL antibody (Bethyl Laboratories, catalog No.A300-450A) at a dilution of 1:2000. The sections were rinsed three times with 1× PBS and incubated with secondary antibody (ZSGB-BIO, catalog No.PV-6000) at room temperature for 60 min. The sections were DAB development and counterstained with hematoxylin. Negative controls were concluded each run to ensure that all the staining was specific.
The staining intensity in the nuclear and staining percentage of tumor cells were both evaluated: no staining was given a score 0; a faint, moderate or strong staining was scored as 1, 2or 3, respectively. The staining percentage of tumor cells was estimated (0–100%). When the value calculated by multiplication of the staining intensity and staining percentage was more than 100%, the tumor specimen was regarded as RECQL protein expression high. Each immunostained slide was evaluated by two blinded independent pathologists. Re-examinations were conducted when evaluations were discrepancies.
Statistical analysis
The Pearson’s χ2 test was used to analyze the associations between the expression level of RECQL and clinicopathological features. For the survival analyses, distant recurrence-free survival (DRFS) was defined as the time from the date of diagnosis to the first distant recurrence or the occurrence of breast cancer related-death without a recorded relapse. Disease-specific survival (DSS) was defined as the time from date of diagnosis to the occurrence of death where breast cancer was the primary or underlying cause of death. Survival curve was performed using the Kaplan-Meier method with the log-rank test. A Cox regression model was performed in multivariate analysis. A P value < 0.05 with a two-sided was considered significant statistically. The SPSS Statistics 20.0 software (Chicago, USA) was used to analyze all data in the study.
Results
Clinicopathologic characteristics
In cohort 1, RECQL mRNA expression was measured successfully in 774 patients. Totally, 387 patients (50%) exhibited high level of RECQL mRNA expression and the remaining 50% of tumors exhibited low expression of RECQL mRNA based on the median as cut-off value. According to the clinicopathological characteristics showed in Table 1, patients with low RECQL mRNA expression tend to be lymph node-positive (34.5% vs. 27.0%, P = 0.026), tumor grade III (19.8% vs.13.2%, P = 0.041), HER2-positive (34.0% vs. 21.8%, P < 0.001), ER-negative (32.1% vs. 25.6%,P = 0.047), and Luminal B (HER2+) subtype (P = 0.003) (Table 1). However, the expression level of RECQL mRNA was not associated with diagnosis age, tumor size, and PR status (Table 1).
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In the cohort 2, RECQL is mainly expressed in the cell nucleus (Fig. 1). Among 322 patients, 189 (58.7%) patients exhibited high level of RECQL protein expression and the remaining 133 (41.3%) patients exhibited low expression of RECQL protein expression. In this cohort, there was no correlation between RECQL protein expression and tumor size, age of diagnosis, ER, PR and HER2 status, and lymph nodes status (Table 2).
Fig. 1
Immunohistochemical staining for RECQL expression in breast cancers. RECQL showed a negative staining and b positive staining (magnification × 200)
×
RECQL mRNA expression associated with survival in cohort 1
In cohort 1, 774 patients were qualified for research and being analyzed. The median follow-up was 82 months (range 2 to 140 months) in cohort 1. The 10-year DRFS and DSS rates in 774 patients were 81.7% (95% confidence interval (CI): 78.6–84.8%), and 87.6% (95% CI: 84.5–90.7%), respectively.
RECQL mRNA expression was significantly associated with survival in cohort 1 with 774 patients. Patients (n = 387) with low expression of RECQL mRNA had a significantly worse DRFS and DSS than did those with high level (DRFS, unadjusted HR: 2.77, 95% CI: 1.88–4.09, P < 0.001; DSS: unadjusted HR: 3.10, 95% CI: 1.84–5.20, P < 0.001) (Fig. 2a-b). Moreover, multivariate analysis revealed that low level expression of RECQL mRNA was an independent unfavorable factor for DRFS and DSS (DRFS: adjusted HR: 3.04, 95% CI: 1.89–4.87, P < 0.001; DSS: adjusted HR: 4.25, 95% CI: 2.12–8.46, P < 0.001) in these 774 patients after adjustment for tumor size, diagnosis age, ER status, PR status, HER2 status, histological grade, lymph node status and adjuvant therapy (Table 3). Lymph node positive was also independent unfavorable factor for DRFS (P < 0.001) and DSS (P < 0.001) (Table 3).
Fig. 2
Comparison of the prognosis between RECQL mRNA expression high and low patients in the first cohort (n = 774) using Kaplan–Meier method. There was significant difference in distant recurrence-free survival (a) and disease-specific survival (b) between RECQL mRNA expression high and low patients
Table 3
Multivariate Analyses of Survival in the First Study Population (N = 774)
Variable
DRFS
DSS
HR
95% CI
P
HR
95% CI
P
Age
≤ 50 yr. vs. > 50 yr
0.84
0.56–1.26
0.40
0.63
0.36–1.10
0.10
ER status
Negative vs. Positive
1.93
0.98–3.79
0.06
1.51
0.62–3.72
0.37
PR status
Negative vs. Positive
1.32
0.77–2.25
0.31
2.13
1.09–4.15
0.027
HER2 status
Positive vs. Negative
0.88
0.56–1.39
0.59
0.75
0.42–1.36
0.34
Tumor grade
III vs. I/II
1.18
0.70–1.99
0.53
1.47
0.77–2.80
0.24
Tumor size
> 2 cm vs. ≤2 cm
1.52
0.97–2.38
0.07
2.26
1.17–4.40
0.017
Adjuvant chemotherapy
C vs. no therapy
0.91
0.42–1.97
0.81
1.63
0.55–4.85
0.38
E vs. no therapy
1.14
0.47–2.80
0.77
1.71
0.47–6.25
0.42
C + E vs. no therapy
1.63
0.69–3.85
0.26
2.00
0.56–7.16
0.29
Lymph node status
Positive vs. Negative
3.56
2.35–5.38
< 0.001
4.09
2.35–7.10
< 0.001
RECQL mRNA expression
Low vs. High
3.04
1.89–4.87
< 0.001
4.25
2.12–8.46
< 0.001
Abbreviations: DRFS, distant recurrence-free survival; DSS, disease-specific survival; HR, hazard ratio; CI, confidence interval; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor-2;C,chemotherapy; E, endocrinotherapy; C + E, chemotherapy and endocrinotherapy
×
These 774 patients with breast cancer were further divided into five different subtypes according to ER\PR\HER2\Ki-67 status, and then survival analyses were performed in each subtype. The results showed that patients with RECQL mRNA low expression had worse survival compared with those with high expression in the luminal A, luminal B (HER2-), luminal B (HER2+) and the triple negative subtype (Additional file 1: Figure S1 A-D). However, in the HER2+ subtype, there was no significant difference between patients expressed high RECQL mRNA and low (Additional file 1: Figure S1E).
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RECQL protein expression associated with survival in cohort 2
The results from the cohort 1 showed that RECQL mRNA expression level was significantly associated with survival of breast cancer patients. To verify the finding in protein level, another independent cohort of 322 breast cancer patients (I-III stage) was included for analysis. The median follow-up was 98 months (range 2 to 129 months) in cohort 2. The 10-year DRFS and DSS rates in the entire study population (n = 322) were 77.3% (95% CI: 72.4–82.2%), and 86.4% (95% CI: 82.5–90.3%), respectively. Compared with patients (n = 189) with high RECQL protein expression in tumors, patients (n = 133) with the low level of RECQL protein expression in tumors had worse DRFS (10-DRFS: 81.5%vs. 87.5%, P = 0.024), but no significant difference in DSS (10-DSS: 90.1% vs. 92.3%, P = 0.23) in univariate analysis (Fig. 3a-b). Moreover, a multivariable analysis revealed that the low level of RECQL protein expression was an independent unfavorable factor for DRFS (adjusted HR: 2.12, 95% CI, 1.16–3.88; P = 0.015) in these 322 patients after adjustment for age of diagnosis, lymph node status, PR status, ER status, HER2 status, tumor size and adjuvant therapy (Table 4).
Fig. 3
Comparison of the prognosis between RECQL protein expression high and low patients in the second cohort (n = 332) using Kaplan–Meier method. There was significant difference in distant recurrence-free survival (a) and disease-specific survival (b) between RECQL protein expression high and low patients
Table 4
Multivariate Analyses of Survival in the Second Study Population (N = 322)
Variable
DDFS
DSS
HR
95% CI
P
HR
95% CI
P
Age
> 50 yr. vs. ≤50 yr
0.56
0.29–1.07
0.08
0.34
0.13–0.92
0.033
ER status
Negative vs. Positive
1.01
0.49–2.06
0.99
0.58
0.19–1.75
0.33
PR status
Negative vs. Positive
0.82
0.39–1.72
0.60
0.86
0.30–2.50
0.79
HER2 status
Positive vs. Negative
1.72
0.80–3.73
0.17
4.23
1.60–11.46
0.004
Tumor size
> 2 cm vs. ≤2 cm
0.76
0.40–1.42
0.39
1.01
0.41–2.50
0.98
Lymph node status
Positive vs. Negative
2.68
1.43–5.03
0.002
3.68
1.39–9.75
0.009
Adjuvant chemotherapy
C vs. no therapy
1.71
0.38–7.79
0.49
1.46
0.29–7.29
0.64
E vs. no therapy
2.53
0.44–14.62
0.30
1.67
0.20–13.69
0.63
C + E vs.no therapy
2.11
0.47–9.47
0.33
0.92
0.17–5.01
0.63
RECQL protein expression
Low vs. High
2.12
1.16–3.88
0.015
2.09
0.85–5.13
0.06
Abbreviations: RFS, recurrence-free survival; DRFS, distant recurrence-free survival; DSS, disease-specific survival; HR, hazard ratio; CI, confidence interval; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor-2;C,chemotherapy; E, endocrinotherapy; C + E, chemotherapy and endocrinotherapy
×
Discussion
In this study, we investigated the association between RECQL expression level and survival in patients with breast cancer. We found that breast cancer patients with low RECQL expression had a worse survival than those with high level. This finding was replicated in mRNA and protein level in two independent cohorts, respectively. In cohort 1 (N = 774), patients with low expression level of RECQL mRNA had significantly poorer DRFS and DSS than those with the high level of RECQL expression. In order to further validate this finding in protein level, we analyzed RECQL protein expression in an independent cohort (N = 322). In the second cohort, patients with low protein level of RECQL also had lower DRFS than did patients with high level.
The RECQ DNA helicase family has five members, namely WRN, BLM, RECQL, RECQL4, and RECQL5. The biological functions of RECQ DNA helicases are inconsistence between members and they have different expression levels in the same tumor [24]. RECQL is the smallest and most abundant human RecQ helicase, and plays an important role in DNA repair and maintaining replication fork progression [25]. One study showed that RECQL deficiency could lead to chromosomal instability [15]. Recent studies reported that RECQL was a moderate breast cancer susceptibility gene [16‐18, 26]. About prognostic studies, there was only one study evaluating the correlation of RECQL expression and survival in breast cancer from England population. Aroraet et al. reported that the low level of RECQL expression was associated with poorer survival than did those with high level expression [27]. By extending their findings, we could demonstrate that RECQL expression was strongly associated with worse DRFS and DSS in Chinese women with breast cancer. Moreover, RECQL expression remained an independent unfavorable factor after adjusting age of diagnosis, ER status, PR status, HER2 status, grade, tumor size, lymph node and adjuvant therapy. In addition, low RECQL expression was also associated with tumor grade III, lymph node-positive, HER2-positive, ER-negative, and tended to Luminal B (HER2+) subtype. These indicated that RECQL may associate with malignant phenotype in breast cancer.
However, some previous studies reported that patients with high level of RECQL expression tend to have a poorer prognosis than patients with low expression in multiple myeloma or epithelial ovarian cancer [28, 29]. Those findings were inconsistent with the results of breast cancer in this study. RECQL is the most expressive member of RecQ helicases and involves in DNA replication [5, 6], DNA repair and stability. RECQL has different expression level in different tumors. Highly proliferative cancer cells would probably need more RECQL for DNA replication and survival. RECQL was overexpressed in multiple myeloma and ovarian cells [28, 29], but RECQL expression was similar in breast cancer cell (MCF 7) relative to normal cells [30, 31]. Therefore, for these highly proliferative cancers, high level of RECQL expression is a bad secondary phenotype.
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Some in vitro functional studies showed that RECQL-deficient tumor cells were more sensitive to DNA-toxic drugs [32, 33]. Another study showed that RECQL-overexpression in myeloma cells were resistant to melphalan and bortezomib, whereas silencing RECQL expression can make cells more sensitive to these two drugs [28]. We also analyzed 487 breast cancer patients who received neoadjuvant chemotherapy from the cohort 1. Among them, 18.9% (92/487) of patients achieved pathological complete remission (pCR). The result showed that there was no significant association between RECQL mRNA expression and the efficacy of neoadjuvant chemotherapy in breast cancers (data not shown).
The underlying mechanism of RECQL expression affect breast cancer prognosis was not yet clear. Several studies have showed that RECQL played an important role in maintaining genomic stability [3, 4]. When the expression of RECQL is insufficient, RECQL maybe not play its normal role in maintaining genomic stability, which makes the tumor cells more likely to undergo malignant transformation, and ultimately lead to poor prognosis of breast cancer. Further functional studies are needed to clarify the underlying mechanism.
There are also some limitations in this study. RECQL mRNA and protein were not assayed in the same samples, so the consistency of the mRNA and protein expression level can’t be evaluated.
Conclusions
In summary, in this study we found that the low RECQL expression is strongly associated with poor prognosis in breast cancer. RECQL expression may be a useful marker in estimating the prognosis of breast cancer patients. Nevertheless, further functional and independent studies are warranted to confirm our findings.
Funding
This study was supported by the 973 project 2013CB911004; and grants from the National Natural Science Foundation of China (No. 81071629). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
This study was conducted in accordance with the ethics principles of the Declaration of Helsinki and approved by the Research and Ethics Committee of Peking University Cancer Hospital. All patients were written informed consent.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interest.
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