Abstract
Neoadjuvant chemotherapy has become the standard of care for locally advanced primary breast cancer. Anthracycline-based regimens have proven to be one of the most effective treatments in this setting. As certain cytotoxic antineoplastic agents, such as anthracyclines, generate reactive oxygen species as a by-product of their mechanism of action, we examined whether redox protein expression was involved in the response to anthracycline-based chemotherapy and with clinical outcome. Pre-treatment needle core biopsy and post-anthracycline treatment tumour sections were analysed from 98 cases. In all, 32 individuals had a complete clinical response and 17 had a complete pathological response. Immunohistochemical staining was performed for eight redox proteins: thioredoxin, thioredoxin reductase, thioredoxin interacting protein (TxNIP), glutathione S-transferase (GST) π, θ and α, catalase and manganese superoxide dismutase. GST π (P=0.05) and catalase (P=0.045) were associated with pathological complete response in pre-chemotherapy samples. TxNIP (P=0.017) and thioredoxin reductase (P=0.022) were independent prognostic factors for distant metastasis-free survival and TxNIP for overall survival (P=0.014). In oestrogen receptor negative patients that are known to have a poor overall survival, a considerably worse prognosis was seen in cases that exhibited low expression of TxNIP (P=0.000003), stratifying patients into more defined groups. This study indicates the importance of redox regulation in determining breast cancer response to anthracycline-based chemotherapy and provides ways of further stratifying pre-chemotherapy patients to potentially allow more tailored treatments.
Keywords: anthracycline, breast cancer, chemotherapy, glutathione, redox, thioredoxin interacting protein
Neoadjuvant chemotherapy has become the standard of care for locally advanced primary breast cancer patients and aims to reduce tumour burden, to render tumours operable, or facilitate breast conservation and other oncoplastic options. In this setting, anthracycline-based regimens are commonly used. Anthracyclines have a complex mechanism of action including inhibition of enzymes such as topoisomerase II, resulting in DNA double-strand breaks, intercalation into DNA and also generation of reactive oxygen species.1 The anthracycline drugs have a quinone that undergoes reduction to a semiquinone-free radical, forming superoxide anions in the presence of oxygen. After dismutation, resultant hydrogen peroxide (H2O2) can be converted into the highly damaging hydroxyl radical.2 The semiquinone radical can also intercalate and damage DNA. There are currently no markers to determine response to neoadjuvant chemotherapy in locally advanced primary breast cancer.
In cancer, the normal redox balance is disrupted due to increased oxidative stress caused by accelerated cell proliferation, constant stimulation of growth promoting signalling pathways and alterations in metabolic activity. Due to this, redox buffering systems such as the thioredoxin and glutathione systems, and antioxidant enzymes such as catalase and superoxide dismutase are often deregulated/overexpressed to compensate.3, 4, 5, 6 These processes can add to the oncogenic transformation and mutation rate in tumours and influence their response to reactive oxygen species generating therapies.7, 8
The current study investigates expression of a panel of redox proteins representing the key pathways: thioredoxin, thioredoxin reductase, thioredoxin interacting protein (TxNIP), glutathione S-transferase (GST) π, θ, α, catalase and manganese superoxide dismutase (MnSOD), in a well-defined cohort of pre-treatment locally advanced primary breast cancer patients before anthracycline chemotherapy. Their expression was investigated for response to therapy and aiding prognosis. A post-chemotherapy tumour specimen was available from certain patients that allowed a matched comparison of protein expression to be assessed, yielding information on particular redox pathways that are altered in response to chemotherapy.
Materials and methods
Clinical Samples
The study is reported according to REMARK criteria.9 The consecutive cohort consisted of 98 patients presenting with locally advanced primary breast cancer between December 1996 and December 2009 at Nottingham University Hospitals and treated with neoadjuvant anthracycline-based chemotherapy. The core biopsies from 82 patients were assessed for all redox proteins studied, 16 additional patients were available for assessment of TxNIP only (n=98). A core biopsy was performed before chemotherapy to allow pathological diagnosis and evaluation of biological parameters. Patients were then treated with six cycles of anthracycline-based therapy (5-fluorouracil (5-FU) 500 mg/m2, epirubicin 75–100 mg/m2, cyclophosphamide 500 mg/m2, on day 1 of a 21-day cycle). Patients underwent surgery 4 weeks after the sixth cycle, unless progression after three cycles, in which case taxanes were used. All oestrogen receptor positive cases received adjuvant hormonal treatment.
Assessment of tumour response was undertaken before chemotherapy and after each cycle. The clinical baseline and preoperative measurements were obtained with a calliper by the same clinician or by radiological assessment. Clinical response was recorded according to RECIST criteria.10 The pathological response was evaluated by histological examination of tumour removed following chemotherapy. For certain cases, whole tumour sections post-chemotherapy were available for redox protein assessment as matched pairs to the pre-chemotherapy samples (see Results section for numbers). Histology was reviewed using the Chevallier classification.11 Ethical approval was obtained from the Nottingham Research Ethics Committee (C202313).
Immunohistochemistry
Immunohistochemistry was performed on core biopsies and whole tumour sections as previously described.5 Briefly, microwave antigen retrieval was conducted in 0.01 mol/l sodium citrate buffer (pH 6). Primary antibodies were incubated for 60 min at room temperature (thioredoxin 1:1000 (#705, American Diagnostica, Stamford, USA), thioredoxin reductase 1:1000 (#07-613, Millipore, Billerica, USA), TxNIP 1:3000 (clone JY2, MBL International Corporation, Woburn, USA), catalase 1:5000 (#ab1877, Abcam, Cambridge, UK), MnSOD 1:1000 (#ab13533, Abcam), GST α (clone 2F7) 1:333, GST θ (clone 2E10-1B2) 1:500 (Abnova, Taipei City, Taiwan), GST π 1:2000 (#MSA-102, Assay Designs, Michigan, USA)). Blocking, secondary, ABC and 3,3′-diaminobenzidine (DAB) substrate reagents were supplied in kit form from Vector Labs (Vector Laboratories, Burlingame, USA). Primary antibody was omitted for negative controls. Placenta and breast composite blocks (six stage I breast carcinomas, including grade I–III tumours) were used for antibody optimisations and positive controls, with liver sections used for GST α. All antibodies had been previously assessed for specificity using western blotting on a panel of breast cancer cell lysates.
Assessment of protein staining was conducted by standard semiquantitative immunohistochemistry scoring (H score) conducted independently by two assessors blinded to the study end points. Staining intensity was divided into: none (0), weak (1) moderate (2) and strong (3). H scores were calculated by multiplying the percentage of positive tumour by the staining intensity (range 0–300). Low- vs high-expressing tumours were determined using median H scores—thioredoxin 190, thioredoxin reductase 200, TxNIP 160, GST θ 185, GST π 85, catalase 90, MnSOD 175. No tumour staining was observed for GST α.
Statistical Analysis
SPSS version 15.0 software package was used for statistical analysis. Protein expression vs clinicopathological criteria was assessed using the Pearson χ2 test of association or Fisher's exact test when there are less than five cases in a cell. Survival analysis was conducted using Kaplan–Meier and significance was determined using log rank. Cox proportional hazards model was used to test statistical independence and paired t-test for the relationship between pre- and post-tumour expression levels. Intraclass correlations were applied to determine the consistency, or conformity, between assessors using the continuous scores that were produced by each individual scoring independently from the same tissue sections. All differences were deemed statistically significant at the level of P<0.05.
Results
Redox Proteins Expression and Clinicopathological Characteristics
Table 1 shows the full clinicopathologic characteristics of the patient cohort that were assessable for each protein. In ∼80% of cases, the maximum risk of recurrence was within the first 2 years. Only 15 living cases (15%) had a follow-up time ≤2 years. The median age of patients was 51 with a range of 25–76 years. The assessment of protein expression was conducted with a high level of concordance between independent observers: thioredoxin 0.962, thioredoxin reductase 0.976, TxNIP 0.838, GST θ 0.930, GST π 0.973, catalase 0.964, MnSOD 0.916. All proteins were assessed for cytoplasmic staining, with some granularity and heterogeneity between adjacent tumour cells, varying from weak to intense staining. Some occasional nuclear staining was observed for thioredoxin, thioredoxin reductase and GST π but was not assessed. Figures 1 and 2 demonstrate the immunostaining pattern of the proteins. No expression of GST α was observed apart from in the liver sections that were used as positive controls (Figure 2d). The expression of redox proteins in the pre-chemotherapy samples was not associated with clinicopathologic characteristics, that is, TNM stage, histopathologic subtype, oestrogen receptor, HER2, progesterone receptor status or age (Table 1).
Table 1. Clinicopathological criteria of locally advanced primary breast cancer patients who underwent neoadjuvant anthracycline-based chemotherapy.
Thioredoxin |
Thioredoxin reductase |
TxNIP |
Glutathione S-transferase π |
Glutathione S-transferase θ |
Catalase |
Manganese superoxide |
|||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Low (%) | High (%) | P-value | Low (%) | High (%) | P-value | Low (%) | High (%) | P-value | Low (%) | High (%) | P-value | Low (%) | High (%) | P-value | Low (%) | High (%) | P-value | Low (%) | High (%) | P-value | |
Age (years) | |||||||||||||||||||||
≤40 | 10 (71) | 4 (29) | 0.217 | 7 (47) | 8 (53) | 0.393 | 6 (38) | 10 (62) | 0.352 | 7 (54) | 6 (46) | 0.747 | 8 (67) | 4 (33) | 0.284 | 9 (60) | 6 (40) | 0.790 | 7 (47) | 8 (53) | 0.840 |
41–60 | 20 (47) | 23 (53) | 24 (56) | 19 (44) | 33 (58) | 24 (42) | 19 (46) | 22 (54) | 17 (43) | 23 (57) | 20 (50) | 20 (50) | 22 (54) | 19 (46) | |||||||
>60 | 6 (43) | 8 (57) | 10 (71) | 4 (29) | 9 (53) | 8 (47) | 8 (57) | 6 (43) | 8 (57) | 6 (43) | 7 (50) | 7 (50) | 6 (46) | 7 (54) | |||||||
Total | 36 | 35 | 41 | 31 | 48 | 42 | 34 | 34 | 33 | 33 | 36 | 33 | 35 | 34 | |||||||
Histology | |||||||||||||||||||||
Ductal NST | 35 (53) | 31 (47) | 0.170* | 38 (57) | 29 (43) | 0.632* | 43 (52) | 40 (48) | 0.276* | 33 (52) | 30 (48) | 0.178* | 30 (48) | 32 (52) | 0.307* | 34 (53) | 30 (47) | 0.458* | 33 (52) | 31 (48) | 0.486* |
Lobular | 1 (20) | 4 (80) | 3 (60) | 2 (40) | 5 (71) | 2 (29) | 1 (20) | 4 (80) | 3 (75) | 1 (25) | 2 (40) | 3 (60) | 2 (40) | 3 (60) | |||||||
Total | 36 | 35 | 41 | 31 | 34 | 34 | 33 | 33 | 36 | 33 | 35 | 34 | |||||||||
TNM stage | |||||||||||||||||||||
2 | 4 (50) | 4 (50) | 0.593* | 3 (33) | 6 (67) | 0.135* | 6 (40) | 9 (60) | 0.293 | 5 (63) | 3 (37) | 0.337* | 3 (43) | 4 (57) | 0.537* | 5 (63) | 3 (37) | 0.408* | 5 (63) | 3 (37) | 0.372* |
3 | 31 (53) | 28 (47) | 35 (59) | 24 (41) | 39 (55) | 32 (45) | 27 (47) | 30 (53) | 27 (49) | 28 (51) | 29 (51) | 28 (49) | 28 (49) | 29 (51) | |||||||
Total | 35 | 32 | 38 | 30 | 45 | 41 | 32 | 33 | 30 | 32 | 34 | 31 | 33 | 32 | |||||||
ER status | |||||||||||||||||||||
Negative | 18 (49) | 19 (51) | 0.718 | 20 (53) | 18 (47) | 0.435 | 23 (52) | 21 (48) | 0.844 | 16 (46) | 19 (54) | 0.467 | 15 (43) | 20 (57) | 0.218 | 21 (60) | 14 (40) | 0.187 | 15 (43) | 20 (57) | 0.185 |
Positive | 18 (53) | 16 (47) | 21 (62) | 13 (38) | 25 (54) | 21 (46) | 18 (55) | 15 (45) | 18 (58) | 13 (42) | 15 (44) | 19 (66) | 20 (59) | 14 (41) | |||||||
Total | 36 | 35 | 41 | 31 | 48 | 42 | 34 | 34 | 33 | 33 | 36 | 33 | 35 | 34 | |||||||
PgR status | |||||||||||||||||||||
Negative | 20 (54) | 17 (46) | 0.329 | 21 (55) | 17 (45) | 0.464 | 25 (56) | 20 (44) | 0.066 | 17 (49) | 18 (51) | 0.916 | 16 (47) | 18 (53) | 0.316 | 25 (69) | 11 (31) | 0.198 | 18 (50) | 18 (50) | 0.862 |
Positive | 9 (41) | 13 (59) | 10 (45) | 12 (55) | 11 (34) | 21 (66) | 11 (50) | 11 (50) | 7 (33) | 14 (67) | 11 (52) | 10 (48) | 11 (52) | 10 (48) | |||||||
Total | 29 | 30 | 31 | 29 | 36 | 41 | 28 | 29 | 23 | 32 | 36 | 21 | 29 | 28 | |||||||
HER status | |||||||||||||||||||||
Negative | 17 (43) | 23 (57) | 0.458 | 20 (48) | 22 (52) | 0.174 | 29 (52) | 27 (48) | 0.635 | 18 (45) | 22 (55) | 0.107 | 15 (38) | 24 (62) | 0.116 | 24 (60) | 16 (40) | 0.677 | 21 (54) | 18 (46) | 0.647 |
Positive | 12 (52) | 11 (48) | 15 (65) | 8 (35) | 12 (46) | 14 (54) | 14 (67) | 7 (33) | 12 (60) | 8 (40) | 12 (55) | 10 (45) | 11 (48) | 12 (52) | |||||||
Total | 29 | 34 | 35 | 30 | 41 | 41 | 32 | 29 | 27 | 32 | 36 | 26 | 32 | 30 | |||||||
Pathological complete response | |||||||||||||||||||||
CR | 7 (54) | 6 (46) | 0.802 | 7 (50) | 7 (50) | 0.559 | 7 (44) | 9 (56) | 0.397 | 3 (25) | 9 (75) | 0.050* | 6 (46) | 7 (54) | 0.757 | 10 (77) | 3 (23) | 0.045* | 8 (62) | 5 (38) | 0.387 |
Non-CR | 29 (50) | 29 (50) | 34 (59) | 24 (41) | 41 (55) | 33 (45) | 31 (55) | 25 (45) | 27 (51) | 26 (49) | 26 (46) | 30 (54) | 27 (48) | 29 (52) | |||||||
Total | 36 | 35 | 41 | 31 | 48 | 42 | 34 | 34 | 33 | 33 | 36 | 33 | 35 | 34 | |||||||
Clinical complete response | |||||||||||||||||||||
CR | 15 (56) | 12 (44) | 0.522 | 14 (50) | 14 (50) | 0.342 | 13 (43) | 17 (57) | 0.202 | 16 (64) | 9 (36) | 0.078 | 15 (60) | 10 (40) | 0.205 | 16 (59) | 11 (41) | 0.345 | 16 (59) | 11 (41) | 0.256 |
Non-CR | 21 (48) | 23 (52) | 27 (61) | 17 (39) | 34 (58) | 25 (42) | 18 (42) | 25 (58) | 18 (44) | 23 (56) | 20 (48) | 22 (52) | 19 (45) | 23 (55) | |||||||
Total | 36 | 35 | 41 | 31 | 47 | 42 | 34 | 34 | 33 | 33 | 36 | 33 | 35 | 34 |
Pearson's χ2 test of association values stated unless the frequency of observations in a cell was <5; therefore, Fisher's exact stated (indicated by *). Statistically significant P-values are indicated by bold font.
Redox Protein Expression and Response
Pathological complete response is the most reliable end point of response to neoadjuvant treatment. For this study, pathological complete response was analysed vs partial response, stable disease and progressed disease that were grouped due to the limited numbers in certain categories. Borderline associations were observed for GST π (χ2=3.643, df=1, P=0.05) and catalase (χ2=3.932, df=1, P=0.045) with pathological complete response in the pre-chemotherapy biopsy samples. From the cases that had completely responded, 75% (9/12) had high GST π levels and 77% (10/13) a low expression of catalase. Thioredoxin P=0.802, thioredoxin reductase P=0.559, TxNIP P=0.397, GST θ P=0.757 and MnSOD P=0.387 showed no association with pathological complete response (Table 1).
Oestrogen receptor negative tumours are known to achieve a better pathological complete response12, 13 and in this cohort, oestrogen receptor status was significantly associated with pathological complete response (χ2=7.572, df=1, P=0.005) with 82% (14/17) of responders being oestrogen receptor negative. Therefore, the combination of GST π or catalase expression with oestrogen receptor status was assessed in the pre-chemotherapy biopsies vs pathological complete response. Data were grouped into four combinations, that is, oestrogen receptor negative with low redox protein expression, oestrogen receptor negative with high redox protein expression, oestrogen receptor positive with low redox protein expression and oestrogen receptor positive with high redox protein expression. In all, 67% (8/12) of complete responders had a high expression of GST π in oestrogen receptor negative tumours (χ2=11.024, df=3, P=0.012). Analysing this category (ie, oestrogen receptor negative/GST π high) against the other subgroups combined highlighted a strong significant association with pathological complete response (χ2=10.853, df=1, P=0.002). Catalase/oestrogen receptor combinations showed that the association of a low expression of catalase with oestrogen receptor negative was of interest in the complete responders (χ2=4.147, df=1, P=0.042, 53.8% cases (7/13)).
Redox protein expression was not associated with clinical complete response—TxNIP P=0.202, thioredoxin P=0.522, thioredoxin reductase P=0.342, GST θ P=0.205, GST π P=0.078, catalase P=0.345, MnSOD P=0.256 (Table 1). Clinical complete response was also analysed as complete response vs partial response, stable disease and progressed disease grouped.
Redox Protein Expression and Survival
The age of the patients (≤40, 40–60, >60) was significantly associated with distant metastasis-free survival (P=0.032) with the ≤40 age group showing good prognosis. The ≤40 group also showed a significantly better overall survival (P=0.04). However, it should be noted that this cohort is a relatively small and homogeneous population.
In the pre-chemotherapy biopsies, Figure 3a demonstrates that a high expression of TxNIP (P=0.021) and Figure 3b demonstrates that a high expression of thioredoxin reductase (P=0.021), was associated with distant metastasis-free survival. Multivariate analysis (Table 2) shows that TxNIP (P=0.017, hazard ratio (HR)=0.3, 95% confidence interval (CI)=0.1–0.8) and thioredoxin reductase (P=0.022, HR=0.3, 95% CI=0.1–0.8) are independent factors. Distant metastasis-free survival showed no association with hormone receptor status using Kaplan–Meier/log rank analysis (oestrogen receptor P=0.180, HER2 P=0.585, progesterone receptor P=0.892) and is not known to be of prognostic value in this setting; therefore, no further statistical analysis was conducted incorporating redox protein expression.
Table 2. Multivariate Cox proportional hazards analysis for predictors of distant metastasis-free and overall survival in locally advanced primary breast cancer patients treated with neoadjuvant anthracycline-based chemotherapy.
Multivariate analysis for distant metastasis-free survival | ||||||
---|---|---|---|---|---|---|
TxNIP |
Thioredoxin reductase |
|||||
Hazard ratio | 95% CI | Significance | Hazard ratio | 95% CI | Significance | |
Protein | 0.3 | 0.1–0.8 | 0.017* | 0.3 | 0.1–0.8 | 0.022* |
ER | 0.1 | 0.0–0.5 | 0.002* | 0.2 | 0.1–0.7 | 0.011* |
HER2 | 1.5 | 0.6–4.2 | 0.424 | 1.7 | 0.6–5.2 | 0.327 |
PgR | 3.5 | 1.1–11.7 | 0.038* | 2.1 | 0.7–6.1 | 0.166 |
TNM | 1.2 | 0.3–5.4 | 0.837 | 1.7 | 0.2–14.6 | 0.642 |
Age |
2.9 |
1.1–7.3 |
0.027* |
1.8 |
0.7–4.2 |
0.206 |
Multivariate analysis for overall survival | ||||||
TxNIP |
TxNIP with ER status |
|||||
|
Hazard ratio |
95% CI |
Significance |
Hazard ratio |
95% CI |
Significance |
Protein | 0.2 | 0.1–0.7 | 0.014* | 0.1 | 0.0–0.4 | 0.0003* |
ER | 0.1 | 0.0–0.3 | 0.001* | — | — | — |
HER2 | 0.4 | 0.1–2.1 | 0.294 | 1.1 | 0.4–2.8 | 0.920 |
PgR | 2.1 | 0.5–8.5 | 0.288 | 2.3 | 0.8–6.7 | 0.139 |
TNM | 0.4 | 0.1–2.0 | 0.254 | 1.6 | 0.4–7.1 | 0.553 |
Age | 3.0 | 1.1–8.3 | 0.035* | 2.6 | 1.1–6.2 | 0.029* |
Abbreviation: CI, confidence interval.
*Statistically significant.
In the pre-chemotherapy biopsies, Figure 4a shows that a high expression of TxNIP was associated with a better overall survival (P=0.037). Multivariate analysis demonstrated that TxNIP is an independent prognostic factor (P=0.014, HR=0.2, 95% CI=0.1–0.7) and, of note, independent of oestrogen receptor status (P=0.001, HR=0.1, 95% CI=0.0–0.3) (Table 2).
Despite the better pathological complete response from oestrogen receptor negative tumours, surprisingly oestrogen receptor negative patients are known to have a worse overall survival,12, 13 which was also observed in this cohort (P=0.014) (Figure 4b). Therefore, TxNIP expression with oestrogen receptor status was analysed, using the same combinations as for pathological complete response. Oestrogen receptor negative/low TxNIP expression had a considerably worse prognosis (P=0.00006) (Figure 4c). Analysing this group against the remaining groups combined was highly significant (P=0.000003) (Figure 4d) and was an independent prognostic factor (P=0.0003, HR=0.1, 95% CI=0.0–0.4) (Table 2). Oestrogen receptor negative patients can therefore be notably stratified further using TxNIP expression.
Comparison of Redox Expression Pre- and Post-Anthracycline-Based Chemotherapy
A paired set of tumour samples, pre- and post-chemotherapy, were available for certain patients and therefore changes in redox protein expression were evaluated. Thioredoxin (n=41), TxNIP (n=39), GST θ (n=43) and MnSOD (n=20) all showed significant increases in expression levels after anthracycline-based chemotherapy (P=0.00000002, P=0.006, P=0.023 and P=0.048, respectively) (Figure 5). Although results point towards these pathways being activated by chemotherapy, the level of increase of these four redox proteins was not significant against clinical parameters such as pathological complete response, distant metastasis-free or overall survival. This was not unexpected due to the small sample size involved but this would warrant further investigation in a larger cohort and in serial biopsies after each chemotherapy cycle. Thioredoxin reductase (n=31), GST π (n=46) and catalase (n=22) showed no significant change (P=0.762, P=0.274 and P=0.214, respectively).
Discussion
To our knowledge, this is the first study to examine a panel of redox proteins in a well-defined cohort of locally advanced primary breast cancer cases before receiving neoadjuvant anthracycline-based chemotherapy. Limited studies have utilised pre-biopsy samples and the numbers are generally small due to the nature of the sample type. Results demonstrate that the expression of redox proteins in initial, pre-treatment, tumour specimens may be important prognostically and as determinants of response. The observed absence of expression of GST α was mirrored in two previous studies that reported very low expression in both normal and breast tumour tissues14 and decreased immunointensity in tumour compared with normal.15
High GST π expression associated with a greater probability of pathological complete response and notably further stratified oestrogen receptor negative patients (P=0.002). GST π expression has been linked to oestrogen receptor status and also showed an inverse correlation,16, 17, 18 but this is the first report in pre-chemotherapy locally advanced primary breast cancer. Due to the nature of GST π as a detoxification enzyme, studies have connected its high expression to multidrug resistance in various cancers19, 20 but although the literature related to GST π, anthracyclines and breast cancer is relatively consistent in vitro, the in vivo data are contradictory. In certain studies, a high GST π expression was associated with a shorter distant metastasis-free and overall survival21, 22 whereas others had a better outcome.23, 24 The current study saw no significance with distant metastasis-free or overall survival. In contrast, a low expression of catalase was associated with a greater incidence of pathological complete response (P=0.045). Catalase functions to catalyse the decomposition of H2O2 to water and oxygen. When catalase expression is low, H2O2 formed by anthracyclines may be less effectively processed resulting in hydroxyl radicals and potentially tumour cell death, thus pathological complete response.
High expression of thioredoxin reductase was a prognostic factor for better distant metastasis-free survival (P=0.022). Such results may appear to contradict the systems antioxidant function, but it has been shown that endogenous thioredoxin increases the redox cycling of anthracyclines and enhances their apoptotic potential.25 An increased expression of thioredoxin reductase would maintain thioredoxin in its reduced, active state.
In the present study, high expression of TxNIP was also a prognostic factor for a better distant metastasis-free (P=0.017) and overall survival (P=0.014). Strikingly though, TxNIP combined with oestrogen receptor status subdivided the oestrogen receptor negative cases into those with comparable prognosis to oestrogen receptor positive and those that had a poor outcome for overall survival (P=0.000003). To our knowledge, this is the first study to examine the relationship between TxNIP in neoadjuvant locally advanced primary breast cancer cases. One study assessed RNA expression in breast cancer patients that had no treatment and found that a high level of TxNIP was significant for a better metastasis-free survival.26 TxNIP is a competitive inhibitor of thioredoxin. Overexpression of TxNIP inhibits proliferation of tumour cells,27 environmental conditions such as H2O2 can upregulate its expression28 and it is downregulated in a number of cancers.27, 29 TxNIP can also function through alternative mechanisms such as Jun activating binding protein affecting its influence on p27kip1 [ref. 30] or via suppression of cell invasion/metastasis by association with the β domain of von Hippel-Lindau protein.31 Importantly, both TxNIP and thioredoxin reductase were independent of oestrogen receptor. Despite reports of oestrogens altering expression of certain redox proteins,32, 33 the authors have not found any reports of this occurring for TxNIP or thioredoxin reductase.
In summary, redox protein expression can determine response to therapy and survival outcomes in patients with locally advanced primary breast cancer subsequently treated with neoadjuvant chemotherapy. The high level of concordance between individual assessors suggests that assessment of redox protein expression may have clinical potential.
Acknowledgments
We gratefully acknowledge the Breast Cancer Campaign for funding this research.
The authors declare no conflict of interest.
References
- Muller I, Niethammer D, Bruchelt G. Anthracycline-derived chemotherapeutics in apoptosis and free radical cytotoxicity (review) Int J Mol Med. 1998;1:491–494. doi: 10.3892/ijmm.1.2.491. [DOI] [PubMed] [Google Scholar]
- Ravid A, Rocker D, Machlenkin A, et al. 1,25-Dihydroxyvitamin D3 enhances the susceptibility of breast cancer cells to doxorubicin-induced oxidative damage. Cancer Res. 1999;59:862–867. [PubMed] [Google Scholar]
- Pennington JD, Wang TJ, Nguyen P, et al. Redox-sensitive signalling factors as a novel molecular targets for cancer therapy. Drug Resist Updat. 2005;8:322–330. doi: 10.1016/j.drup.2005.09.002. [DOI] [PubMed] [Google Scholar]
- Valko M, Leibfritz D, Moncol J, et al. Free radicals and antioxidants in normal physiological functions and human disease. Int J Biochem Cell Biol. 2007;39:44–84. doi: 10.1016/j.biocel.2006.07.001. [DOI] [PubMed] [Google Scholar]
- Woolston CM, Deen S, Al-Attar A, et al. Redox protein expression predicts progression-free and overall survival in ovarian cancer patients treated by platinum-based chemotherapy. Free Radic Biol Med. 2010;49:1263–1272. doi: 10.1016/j.freeradbiomed.2010.07.008. [DOI] [PubMed] [Google Scholar]
- Woolston CM, Al-Attar A, Storr SJ, et al. Redox protein expression predicts radiotherapeutic response in early-stage invasive breast cancer patients. Int J Radiat Oncol Biol Phys. 2011;79:1532–1540. doi: 10.1016/j.ijrobp.2010.11.002. [DOI] [PubMed] [Google Scholar]
- Toyokuni S, Okamoto K, Yodoi J, et al. Persistent oxidative stress in cancer. FEBS Lett. 1995;358:1–3. doi: 10.1016/0014-5793(94)01368-b. [DOI] [PubMed] [Google Scholar]
- Behrend L, Henderson G, Zwacka RM. Reactive oxygen species in oncogenic transformation. Biochem Soc Trans. 2003;31:1441–1444. doi: 10.1042/bst0311441. [DOI] [PubMed] [Google Scholar]
- Mcshane LM, Altman DG, Sauerbrei W, et al. Reporting recommendations for tumor marker prognostic studies (REMARK) Breast Cancer Res Treat. 2006;100:229–235. doi: 10.1007/s10549-006-9242-8. [DOI] [PubMed] [Google Scholar]
- Park JO, Lee SI, Song SY, et al. Measuring response in solid tumors: comparison of RECIST and WHO response criteria. Jpn J Clin Oncol. 2003;33:533–537. doi: 10.1093/jjco/hyg093. [DOI] [PubMed] [Google Scholar]
- Chevallier B, Roche H, Olivier JP, et al. Inflammatory breast cancer. Pilot study of intensive induction chemotherapy (FEC-HD) results in a high histologic response rate. Am J Clin Oncol. 1993;16:16223–16228. [PubMed] [Google Scholar]
- Ring AE, Smith IE, Ashley S, et al. Oestrogen receptor status, pathological complete response and prognosis in patients receiving neoadjuvant chemotherapy for early breast cancer. B J Cancer. 2004;91:2012–2017. doi: 10.1038/sj.bjc.6602235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kuerer HM, Newman LA, Smith TL, et al. Clinical course of breast cancer patients with complete pathologic primary tumor and axillary lymph node response to doxorubicin-based neoadjuvant chemotherapy. J Clin Oncol. 1999;17:460–469. doi: 10.1200/JCO.1999.17.2.460. [DOI] [PubMed] [Google Scholar]
- Forrester LM, Hayes JD, Millis R, et al. Expression of glutathione S-transferases and cytochrome P450 in normal and tumor breast tissue. Carcinogenesis. 1990;11:2163–2170. doi: 10.1093/carcin/11.12.2163. [DOI] [PubMed] [Google Scholar]
- Alpert LC, Schecter RL, Berry DA, et al. Relation of glutathione S-transferase α and μ isoforms to response to therapy in human breast cancer. Clin Cancer Res. 1997;3:661–667. [PubMed] [Google Scholar]
- Howie AF, Miller WR, Hawkins RA, et al. Expression of glutathione S-transferase B1, B2, Mu and Pi in breast cancers and their relationship to oestrogen receptor status. Br J Cancer. 1989;60:834–837. doi: 10.1038/bjc.1989.375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Montano MM, Deng H, Liu M, et al. Transcriptional regulation by the estrogen receptor of antioxidative stress enzymes and its functional implications. Oncogene. 2004;23:2442–2453. doi: 10.1038/sj.onc.1207358. [DOI] [PubMed] [Google Scholar]
- Moscow JA, Townsend AJ, Goldsmith ME, et al. Isolation of the human anionic glutathione S-transferase cDNA and the relation of its gene expression to estrogen-receptor content in primary breast cancer. Proc Natl Acad Sci USA. 1988;85:6518–6522. doi: 10.1073/pnas.85.17.6518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nakanishi Y, Kawasaki M, Bai F, et al. Expression of p53 and glutathione S-transferase-pi relates to clinical drug resistance in non-small cell lung cancer. Oncology. 1999;57:318–323. doi: 10.1159/000012068. [DOI] [PubMed] [Google Scholar]
- Mayr D, Pannekamp U, Baretton GB, et al. Immunohistochemical analysis of drug resistance-associated proteins in ovarian carcinomas. Pathol Res Pract. 2000;196:469–475. doi: 10.1016/S0344-0338(00)80048-5. [DOI] [PubMed] [Google Scholar]
- Gilbert L, Elwood LJ, Merino M, et al. A pilot study of pi-class glutathione S-transferase expression in breast cancer: correlation with estrogen receptor expression and prognosis in node-negative breast cancer. J Clin Oncol. 1993;11:49–58. doi: 10.1200/JCO.1993.11.1.49. [DOI] [PubMed] [Google Scholar]
- Huang J, Tan P-H, Thiyagarajan J, et al. Prognostic significance of glutathione S-transferase-pi in invasive breast cancer. Mod Pathol. 2003;16:558–565. doi: 10.1097/01.MP.0000071842.83169.5A. [DOI] [PubMed] [Google Scholar]
- Arun BK, Granville LA, Yin G, et al. Glutathione-s-transferase-pi expression in early breast cancer: association with outcome and response to chemotherapy. Cancer Invest. 2010;28:554–559. doi: 10.3109/07357900903286925. [DOI] [PubMed] [Google Scholar]
- Moureau-Zabotto L, Ricci S, Lefranc JP, et al. Prognostic impact of multidrug resistance gene expression on the management of breast cancer in the context of adjuvant therapy based on a series of 171 patients. Br J Cancer. 2006;27:473–480. doi: 10.1038/sj.bjc.6602958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ravi D, Muniyappa H, Das KC. Endogenous thioredoxin is required for redox cycling of anthracyclines and p53-dependent apoptosis in cancer cells. J Biol Chem. 2005;280:40084–40096. doi: 10.1074/jbc.M507192200. [DOI] [PubMed] [Google Scholar]
- Cadenas C, Franckenstein D, Schmidt M, et al. Role of thioredoxin reductase 1 and thioredoxin interacting protein in prognosis of breast cancer. Breast Cancer Res. 2010;12:R44. doi: 10.1186/bcr2599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Han SH, Jeon JH, Ju HR, et al. VDUP1 upregulated by TGF-beta1 and 1,25-dihydorxyvitamin D3 inhibits tumor cell growth by blocking cell-cycle progression. Oncogene. 2003;22:4035–4046. doi: 10.1038/sj.onc.1206610. [DOI] [PubMed] [Google Scholar]
- Junn E, Han SH, Im JY, et al. Vitamin D3 up-regulated protein 1 mediates oxidative stress via suppressing the thioredoxin function. J Immunol. 2000;164:6287–6295. doi: 10.4049/jimmunol.164.12.6287. [DOI] [PubMed] [Google Scholar]
- Butler LM, Zhou X, Xu WS, et al. The histone deacetylase inhibitor SAHA arrests cancer cell growth, up-regulates thioredoxin-binding protein-2, and down-regulates thioredoxin. Proc Natl Acad Sci USA. 2002;99:11700–11705. doi: 10.1073/pnas.182372299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jeon JH, Lee KN, Hwang CY, et al. Tumor suppressor VDUP1 increases p27(kip1) stability by inhibiting JAB1. Cancer Res. 2005;65:4485–4489. doi: 10.1158/0008-5472.CAN-04-2271. [DOI] [PubMed] [Google Scholar]
- Shin D, Jeon JH, Jeong M, et al. VDUP1 mediates nuclear export of HIF1alpha via CRM1-dependent pathway. Biochim Biophys Acta. 2008;1783:838–848. doi: 10.1016/j.bbamcr.2007.10.012. [DOI] [PubMed] [Google Scholar]
- Mobley JA, Brueggemeier RW. Estrogen receptor-mediated regulation of oxidative stress and DNA damage in breast cancer. Carcinogenesis. 2004;25:3–9. doi: 10.1093/carcin/bgg175. [DOI] [PubMed] [Google Scholar]
- Mense SM, Remotti F, Bhan A, et al. Estrogen-induced breast cancer: alterations in breast morphology and oxidative stress as a function of estrogen exposure. Toxicol Appl Pharmacol. 2008;232:78–85. doi: 10.1016/j.taap.2008.06.007. [DOI] [PMC free article] [PubMed] [Google Scholar]