Literature DB >> 30755497

Nuclear factor erythroid 2-related factors 1 and 2 are able to define the worst prognosis group among high-risk diffuse large B cell lymphomas treated with R-CHOEP.

Esa Kari1,2, Hanna-Riikka Teppo3,4, Kirsi-Maria Haapasaari4, Milla Elvi Linnea Kuusisto3,2, Aurora Lemma2, Peeter Karihtala3,2, Risto Pirinen5, Ylermi Soini6, Esa Jantunen7, Taina Turpeenniemi-Hujanen3,2, Outi Kuittinen8,9.   

Abstract

AIMS: Oxidative stress markers and antioxidant enzymes have previously been shown to have prognostic value and associate with adverse outcome in patients with diffuse large B cell lymphoma (DLBCL). Nuclear factor erythroid 2-related factor 1 (Nrf1) and factor 2 (Nrf2) are among the principal inducers of antioxidant enzyme production. Kelch ECH associating protein 1 (Keap1) is a negative regulator of Nrf2, and BTB (BR-C, ttk and bab) domain and CNC homolog 1 (Bach1) represses the function of both factors. Their significance in DLBCL prognosis is unknown.
METHODS: Diagnostic biopsy samples of 76 patients with high-risk DLBCL were retrospectively stained with immunohistochemistry for Nrf1, Nrf2, Keap1 and Bach1, and correlated with clinical data and outcome.
RESULTS: Nuclear Nrf2 and nuclear Bach1 expression were associated with adverse clinical features (anaemia, advanced stage, high IPI, high risk of neutropaenic infections), whereas cytoplasmic Nrf1 and Nrf2 were associated with favourable clinical presentation (normal haemoglobin level, no B symptoms, limited stage). None of the evaluated factors could predict survival alone. However, when two of the following parameters were combined: high nuclear score of Nrf2, low nuclear score of Nrf1, high cytoplasmic score of Nrf1 and low cytoplasmic score of Keap1 were associated with significantly worse overall survival.
CONCLUSIONS: Nrf1 and Nrf2 are relevant in disease presentation and overall survival in high-risk DLBCL. Low nuclear expression of Nrf1, high cytoplasmic expression of Nrf1, high nuclear expression of Nrf2 and low cytoplasmic expression of Keap1 are associated with adverse outcome in this patient group. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  bach1; diffuse large B-cell lymphoma; keap1; nrf1; nrf2

Mesh:

Substances:

Year:  2019        PMID: 30755497      PMCID: PMC6580789          DOI: 10.1136/jclinpath-2018-205584

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


Introduction

Diffuse large B cell lymphoma (DLBCL) is an aggressive malignancy. Oxidative stress markers and several antioxidant enzymes such as thioredoxin-1 (Trx) and peroxiredoxin-6 (Prx6) have been suggested to be associated with clinical disease presentation in DLBCL and to have prognostic value.1 2 Nuclear factor erythroid 2-related factor 1 (Nrf1) and factor 2 (Nrf2) are members of the Cap-N-collar (CNC) family of transcription factors that play vital roles in antioxidant response regulation. Nrf2 especially is considered one of the main inducers of antioxidant enzyme production. It is targeted for degradation by Kelch ECH associating protein 1 (Keap1) in the absence of oxidative stress.3 BTB (BR-C, ttk and bab) domain and CNC homolog 1 (Bach1) are a member of Bach family of transcription factors that repress the function of CNC transcription factors. Both CNC and Bach factors are required to form heterodimers with small musculoaponeurotic fibrosarcoma (Maf) proteins to bind target DNA.4 Appropriate level of oxidative stress is known to lead to enhanced tumour cell survival and chemoresistance through adaptation and different downstream effects.5 Antioxidant enzymes regulate the level of oxidative stress and its effects in the cell.5 No clinical data exist on the prognostic role of Nrf1, Nrf2, Keap1 and Bach1 in non-Hodgkin’s lymphomas.6 In this study the expression and clinical significance of these proteins were evaluated immunohistochemically in high-risk patients with DLBCL.

Materials and methods

This retrospective study included 76 consecutively treated high-risk patients with de novo DLBCL who had diagnostic biopsy samples available for immunohistochemical staining. HIV infection, transformed diseases and primary central nervous system lymphomas were excluded. Patients were treated in 2003–2017 in Oulu University Hospital, Kuopio University Hospital and North Karelia Central Hospital. Patients were eligible for treatment with first-line R-CHOEP regimen (rituximab, cyclophosphamide, doxorubicin, vincristine, etoposide and prednisolone). Risk was retrospectively assessed by the selected treatment (R-CHOEP). High risk here means stages III–IV, and according to WHO 2016 patients with T cell B-cell lymphoma were calculated also as high-risk patients. Extranodal involvement (>1) was also one reason for more intensified treatment schema. Bone marrow infiltration was calculated as increased International Prognoctic Index (IPI). Due to the aggressive therapy most of the patients were younger than 60 years of age. Clinical data were collected from hospital records. Nrf1, Nrf2, Keap1 and Bach1 were stained immunohistochemically (online supplementary appendix table 1). Samples were fixed in formalin and embedded in paraffin, and 3 µm sections from the paraffin blocks were cut and placed on SuperFrost Plus glass slides (Menzel-Gläser, Braunschweig, Germany). The slides were incubated at +37°C overnight before deparaffinisation in a clearing agent Histo-Clear (National Diagnostics, Atlanta, Georgia, USA) and rehydration in descending ethanol series. Antigen retrieval was done in the microwave oven (online supplementary appendix table 1). Slides were allowed to cool at room temperature for 20 min and then incubated in a 3% H2O2 solution for 5 min to block the endogenous peroxidase activity. Primary antibody was incubated as outlined in online supplementary appendix table 1. Staining was continued using Dako REAL EnVision Detection System (Dako Denmark A/S, Glostrup, Denmark) according to the manufacturer’s instructions. Diaminobenzidine was used to detect the immunoreaction, and nuclei were immunostained with Mayer’s haematoxylin (Reagena, Toivola, Finland). Finally, slides were dehydrated and mounted with Histomount (National Diagnostics). All washes between different steps were performed with phosphate buffered saline with 0.05% Tween-20. The staining was reviewed and analysed on a multihead microscope by two pathologists (K-MH, H-RT) blinded to clinical data. Intensity was assessed as negative, weak or strong with percentage of cells. Modified histoscore was used with the following algorithm: 1 × negative expression +2 × weak expression +3 × strong expression (range 100–300) or 1 × negative expression +4 × positive expression (range 100–400) if expression was recorded either as negative or positive. The latter was applied to cytoplasmic Nrf2 expression and nuclear Bach1 expression due to small differences in expression intensity. Staining was evaluated separately in the cytoplasm and nuclei in each sample. Germinal centre phenotype (GCB) type was determined according to Hans algorithm.7 IBM SPSS Statistics V.23 for Windows was used to perform statistical analysis. Tests included Mann-Whitney U test, Kruskal-Wallis test, Spearman correlation and Kaplan-Meier log-rank test. Overall survival (OS) was calculated from the time of diagnosis to the time of death or to the last follow-up. Appropriate immunohistochemistry (IHC) score cut-off values for survival analysis were chosen from receiver operating characteristic curves. These cut-off values were then combined pairwise to separate different patient groups better. Multivariate analysis with Cox regression was done. The model included IPI and GC phenotype. P values of ≤0.05 were considered statistically significant.

Results

Patient demographics

Clinical patient characteristics are shown in online supplementary appendix table 2. The median age was 54 years (range 19–69) at the time of diagnosis, and the median follow-up time was 61 months (range 3–165). Eighty-four per cent of patients had stages III–IV disease. Sixty-seven patients (88%) attained full remission, whereas nine patients (12%) had progressive disease with R-CHOEP treatment. During follow-up there were 14 relapses (18%): 11 patients had systemic relapse and 3 patients had central nervous system (CNS) relapse. There were 15 deaths, of which 12 were disease-specific. Of all patients 24 had germinal GCB and 32 had non-GCB type disease7 (online supplementary appendix table 2).

Immunohistochemical analysis and associations between proteins studied

Of the samples, 11% and 21% remained totally negative for cytoplasmic and nuclear Nrf1, respectively. Fifty-six per cent of the samples remained negative for cytoplasmic Nrf2, but nuclear Nrf2 was always positive. Of the samples, 13% and 67% remained negative for cytoplasmic Keap1 and nuclear Bach1, respectively. Cytoplasmic expression of Nrf1 correlated with cytoplasmic expression of Keap1 (p=0.021). There was also a positive correlation between nuclear expressions of Nrf1 and Nrf2, but this did not attain statistical significance (p=0.064). There were no other statistically significant correlations between immunohistochemistry. Overall histoscore staining results are presented in figure 1, and two example staining series are presented in figure 2.
Figure 1

Histoscore results of patients by distribution. Ranges are 100–300 and 100–400 (cNrf2 and nBach1), where 100 means negative staining. Bach1, CNC homolog 1; c, cytoplasmic; Keap1, Kelch ECH associating protein 1; n, nuclear; Nrf1, nuclear factor erythroid 2-related factor 1; Nrf2, nuclear factor erythroid 2-related factor 2.

Figure 2

(A–D) Immunohistochemical staining of patient 1. Biopsy represents non-GC DLBCL from lymph node. From upper left: positive Bach1 expression, low cytoplasmic Keap1 expression, high cytoplasmic Nrf1 expression and high nuclear Nrf1 expression, positive cytoplasmic Nrf2 expression and high nuclear Nrf2 expression. (E–H) Immunohistochemical staining of patient 2. Biopsy represents T cell-rich B-cell lymphoma from lymph node. From upper left: negative Bach1 expression, high cytoplasmic Keap1 expression, high cytoplasmic Nrf1 expression and low nuclear Nrf1 expression, negative cytoplasmic Nrf2 expression and low nuclear Nrf2 expression. GC, germinal centre; Bach1, CNC homolog 1; DLBCL, diffuse large B-cell lymphoma; Keap1, Kelch ECH associating protein 1; Nrf1, nuclear factor erythroid 2-related factor 1; Nrf2, nuclear factor erythroid 2-related factor 2.

Histoscore results of patients by distribution. Ranges are 100–300 and 100–400 (cNrf2 and nBach1), where 100 means negative staining. Bach1, CNC homolog 1; c, cytoplasmic; Keap1, Kelch ECH associating protein 1; n, nuclear; Nrf1, nuclear factor erythroid 2-related factor 1; Nrf2, nuclear factor erythroid 2-related factor 2. (A–D) Immunohistochemical staining of patient 1. Biopsy represents non-GC DLBCL from lymph node. From upper left: positive Bach1 expression, low cytoplasmic Keap1 expression, high cytoplasmic Nrf1 expression and high nuclear Nrf1 expression, positive cytoplasmic Nrf2 expression and high nuclear Nrf2 expression. (E–H) Immunohistochemical staining of patient 2. Biopsy represents T cell-rich B-cell lymphoma from lymph node. From upper left: negative Bach1 expression, high cytoplasmic Keap1 expression, high cytoplasmic Nrf1 expression and low nuclear Nrf1 expression, negative cytoplasmic Nrf2 expression and low nuclear Nrf2 expression. GC, germinal centre; Bach1, CNC homolog 1; DLBCL, diffuse large B-cell lymphoma; Keap1, Kelch ECH associating protein 1; Nrf1, nuclear factor erythroid 2-related factor 1; Nrf2, nuclear factor erythroid 2-related factor 2.

Correlations between immunohistochemical expression and clinical data

IHC scores had some significant associations with disease presentation (online supplementary appendix table 3). Nuclear Nrf2 and nuclear Bach1 expressions were associated with adverse clinical features (anaemia, advanced stage, high IPI) in contrast to cytoplasmic Nrf1 and Nrf2 expressions, which were associated with favourable clinical presentation (normal haemoglobin, no B symptoms, limited stage). Nuclear Nrf1 and Nrf2 expressions were both linked with neutropaenic infection after first treatment cycle. Keap1 did not show any statistically significant associations with disease presentation. Several factors revealed clear trends for predicting survival, but the differences were not statistically significant. There were statistically significant differences in analysis with combined factors, however, 5-year OS was 100% in patients with low cytoplasmic Nrf1 expression and high nuclear Nrf1 expression compared with 77% in patients with high cytoplasmic Nrf1 expression and low nuclear Nrf1 expression (log-rank p=0.035). The 5-year OS was 93% in patients with low nuclear Nrf2 expression and high cytoplasmic Keap1 expression compared with 63% in patients with high nuclear Nrf2 expression and low cytoplasmic Keap1 expression (log-rank p=0.035). The 5-year OS was 88% in patients with low cytoplasmic Nrf1 expression and high cytoplasmic Keap1 expression compared with 63% in patients with high cytoplasmic Nrf1 expression and low cytoplasmic Keap1 expression (log-rank p=0.005). The 5-year OS was 89% in patients with high nuclear Nrf1 expression and low nuclear Nrf2 expression compared with 67% in patients with low nuclear Nrf1 expression and high nuclear Nrf2 expression (log-rank p=0.012) (figure 3). There was no survival difference according to germinal centre phenotype. When subgroup analyses for survival were stratified between GC and non-GC DLBCL, the prognostic value of other studied markers, apart from nuclear and cytoplasmic Nrf1, remained (figure 3). In Cox regression analysis combined high cytoplasmic Nrf1 and low cytoplasmic Keap1 expression (figure 3) was an independent prognostic factor (HR 3.927; 95% CI 1.116 to 13.821; p=0.033) when comparing with IPI (HR 1.535; 95% CI 0.412 to 5.723; p=0.524) and GC (HR 1.432; 95% 0.411 to 4.984). Combined low nuclear Nrf1 and high nuclear Nrf2 expression (figure 3) was also significant (HR 4.269; 95% CI 1.097 to 16.608; p=0.036) when IPI (HR 1.300; 95% CI 0.334 to 5065; p=0.705) and GC (HR 1.780; 95% CI 0.451 to 7.029; p=0.410) were considered.
Figure 3

Overall survival charts. Survival according to (A) Nrf1 expression (p=0.035), (B) Nrf2 and Keap1 expression (p=0.035), (C) Nrf1 and Keap1 expression (p=0.005) and (D) Nrf1 and Nrf2 expression (p=0.012). c, cytoplasmic; Keap1, Kelch ECH associating protein 1; n, nuclear; Nrf1, nuclear factor erythroid 2-related factor 1; Nrf2, nuclear factor erythroid 2-related factor 2.

Overall survival charts. Survival according to (A) Nrf1 expression (p=0.035), (B) Nrf2 and Keap1 expression (p=0.035), (C) Nrf1 and Keap1 expression (p=0.005) and (D) Nrf1 and Nrf2 expression (p=0.012). c, cytoplasmic; Keap1, Kelch ECH associating protein 1; n, nuclear; Nrf1, nuclear factor erythroid 2-related factor 1; Nrf2, nuclear factor erythroid 2-related factor 2.

Discussion

This is the first study to evaluate prognostic implications of antioxidant enzymes regulators Nrf1, Nrf2, Keap1 or Bach1 in non-Hodgkin’s lymphomas. Besides the higher risk of relapse, patients with these poor prognosis tumours were also more prone to suffer from neutropaenic infections. This is in line with previous studies showing that antioxidant enzymes Prx6 and Trx were associated with worse prognosis in DLBCL.1 2 Moreover, Sewastianik et al 8 have demonstrated in a cell culture model that Trx knockdown sensitises DLBCL cells to doxorubicin, thus demonstrating the causal potential of antioxidant enzymes with chemoresistance. In line with these observations, our results strongly suggest that low nuclear Nrf1 and high nuclear Nrf2 expressions are also associated with adverse outcome in this patient group. In a recent study, Nrf2 and Keap1 expressions were found to be elevated in DLBCL compared with reactive lymph nodes and associate with high IPI and stage.9 Since our study was observing only differences between different lymphoma groups (online supplementary appendix table 2), the sample set did not include benign lymph node specimen. However, our results conform to the reported results by Yi et al 9 as none of the cases in our data set showed negative immunostaining of nuclear Nrf2 and only a few showed negative cytoplasmic Keap1. In contrast, we did not observe any association between Keap1 expression and IPI/stage. According to the literature, Nrf family members appear to have disease-dependent effects in lymphomas. High Nrf2 mRNA levels have previously been associated with the presence of traditional risk factors of limited stage Hodgkin’s lymphoma,6 while in mantle cell lymphoma Nrf2 pathway activity has been reported to have either favourable10 or adverse effects11 on treatment response. In vitro studies have revealed that inhibition of Nrf2 leads to cytotoxicity in Burkitt lymphoma,12 multiple myeloma,13 and in lymphoblastic12 and myeloid leukaemia cells.14 Apart from the antioxidant properties of Nrf1 and Nrf2, they have both also been related to proteasome-mediated chemoresistance in multiple myeloma.15 16 Based on our findings, high nuclear Nrf2 expression is associated with higher IPI score and adverse outcome in patients with DLBCL. High Nrf2 levels can confer chemoresistance through altered cell cycle effects,17 upregulation of multidrug resistance-associated protein transporters,18 immunosuppression19 and reduced sensitivity to radiotherapy.20 Nrf2 reduces the efficacy of doxorubicin, carboplatin and cisplatin in vitro.20 21 Oncogenes such as Kras, Braf and Myc stimulate the expression of Nrf2.3 In predisposed individuals Nrf2 has also been associated with oncogenesis as seen in a mouse model22 and in some hereditary cancer syndromes.23 Overexpression of Nrf2 is associated with worse survival, which has been recorded in several solid cancers.3 24 25 Supporting these findings strong cytoplasmic expression of Keap1, an inhibitor of Nrf2, was associated with favourable survival in our material. Keap1 is the most important negative regulator of Nrf2 and its deactivation leads to increased levels of Nrf2.3 This phenomenon has been recorded in other malignancies as well.26–29 Nrf1 is found in the endoplasmic reticulum membrane in its inactive state, and it is cleaved from its N-terminal domain on activation. The observed cytoplasmic staining could thus represent its endoplasmic reticulum location and low induction. Our results suggest that Nrf1 may have beneficial effects in the nucleus as it is related to better survival. Prognosis was dismal when Nrf1 had high expression in the cytoplasm even if it was associated with normal haemoglobin and absence of B symptoms. Patients having both high nuclear Nrf2 and low nuclear Nrf1 expression had dismal OS and were independent prognostic factors from IPI and CG phenotype. Nrf1 and Nrf2 compete with each other in binding to electrophile responsive elements and Nrf1 is able to replace Nrf2.30 The combination of high cytoplasmic Nrf1 expression and low cytoplasmic Keap1 expression was also linked to worse OS and was independent from IPI and GC phenotype. Nrf1 binds with Keap1, although the significance of this interaction is unclear.31 Nevertheless, Tian et al 32 recently established Keap1 as a positive regulator of Nrf1. Nrf1 has complex functions in cells, making it challenging to assess its actual biomechanics.31 33 Their net effect in this patient group appears to be survival-promoting, however. Nuclear expressions of Nrf1 and Nrf2 were both associated with febrile neutropaenia after first treatment cycle. The rationale behind this is unknown. Nrf2 has been found to modulate innate immunity and have anti-inflammatory effects. Oxidative stress is also inherently linked with inflammation.34 Bach1 was detected in a minority of samples but was associated with advanced stage disease. It has previously been uniformly related to more aggressive behaviour and chemoresistance in several solid cancers.35–38 There were no survival associations with Bach1, but it is known that all of the transcription factors studied are connected through Mafs and affect the expression and effects of each other.4 After implementation of rituximab into the DLBCL therapy, treatment results have improved dramatically. However, incurable diseases remain and new approaches should be found. Growing evidence points out that targeting antioxidant machinery can taper antioxidant enzyme-mediated chemoresistance in cancer.39–41 Our study adds important new information to this setting. Limitations of this study included its retrospective nature and small sample size. This study represents a selected, young, high-risk patient population as IPI score itself was not statistically significant for treatment outcome. On the other hand, this is a homogeneous series as all patients were treated with R-CHOEP therapy and implies that these mechanisms are important also in this most challenging DLBCL group. In conclusion, Nrf and Bach protein families appear to have notable relevance in disease presentation and prognosis in high-risk patients with DLBCL, treated with R-CHOEP regimen. This further implies the clinical significance of oxidative stress and antioxidant enzymes in the biology and possibly also in the chemoresistance of DLBCL. This antioxidant and stress response cascade could be a relevant therapeutic target in the future. Results are applicable to most DLBCL as GC, non-GC and T cell-rich types of DLBCL were included in the current study. Relation of these transcription factors to MYC, BCL2 and BCL6 and other DLBCL subtypes should also be determined. Nuclear Nrf2 and Bach1 expressions were associated with adverse clinical features in diffuse large B-cell lymphoma. Low nuclear Nrf1 expression, high cytoplasmic Nrf1 expression, high nuclear Nrf2 expression and low cytoplasmic Keap1 expression are associated with poor overall survival. Causal roles of these transcription factors should be evaluated in an in vitro model. Targeting these transcription factors may have therapeutic potential in the future.
  7 in total

1.  Novel mitochondria-targeting compounds selectively kill human leukemia cells.

Authors:  Svetlana B Panina; Jingqi Pei; Natalia Baran; Elissa Tjahjono; Shraddha Patel; Gheath Alatrash; Sergej Konoplev; Leonid A Stolbov; Vladimir V Poroikov; Marina Konopleva; Natalia V Kirienko
Journal:  Leukemia       Date:  2022-06-07       Impact factor: 12.883

2.  NRF1-regulated CircNSUN2 promotes lymphoma progression through activating Wnt signaling pathway via stabilizing HMGA1.

Authors:  Lifu Wang; Bo Yang; Ziguang Xu; Xiaoxia Song; Zhiquan Gong; Shuang Xue; Lingfei Kong
Journal:  Cell Cycle       Date:  2021-04-16       Impact factor: 4.534

3.  3-Methyladenine but not antioxidants to overcome BACH2-mediated bortezomib resistance in mantle cell lymphoma.

Authors:  Min Feng; Jia Wang; Ming Sun; Guilan Li; BingXiang Li; Han Zhang
Journal:  Cancer Cell Int       Date:  2021-05-26       Impact factor: 5.722

4.  Network-based identification of biomarkers for colon adenocarcinoma.

Authors:  Fuyan Hu; Qing Wang; Zhiyuan Yang; Zeng Zhang; Xiaoping Liu
Journal:  BMC Cancer       Date:  2020-07-17       Impact factor: 4.430

5.  NRF1 and NRF2 mRNA and Protein Expression Decrease Early during Melanoma Carcinogenesis: An Insight into Survival and MicroRNAs.

Authors:  Mari Hämäläinen; Hanna-Riikka Teppo; Sini Skarp; Kirsi-Maria Haapasaari; Katja Porvari; Katri Vuopala; Thomas Kietzmann; Peeter Karihtala
Journal:  Oxid Med Cell Longev       Date:  2019-09-04       Impact factor: 6.543

6.  Clinico-pathological and prognostic implications of Srx, Nrf2, and PROX1 expression in gastric cancer and adjacent non-neoplastic mucosa - an immunohistochemical study.

Authors:  Abeer M Hafez; Ola A Harb; Ahmed Z Alattar; Nabila Hefzi; Rham Z Ahmed; Shady E Shaker; Amr Ibrahim; Ahmed K El-Taher
Journal:  Contemp Oncol (Pozn)       Date:  2021-01-04

7.  NRF2 Activation Confers Resistance to eIF4A Inhibitors in Cancer Therapy.

Authors:  Viraj R Sanghvi; Prathibha Mohan; Kamini Singh; Linlin Cao; Marjan Berishaj; Andrew L Wolfe; Jonathan H Schatz; Nathalie Lailler; Elisa de Stanchina; Agnes Viale; Hans-Guido Wendel
Journal:  Cancers (Basel)       Date:  2021-02-05       Impact factor: 6.639

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.