Literature DB >> 29434836

Increased expression of mitochondrial transcription factor A and nuclear respiratory factor-1 predicts a poor clinical outcome of breast cancer.

Wei Gao1,2, Meihong Wu2, Ning Wang2, Yingyi Zhang2, Jing Hua2, Gusheng Tang3, Yajie Wang2.   

Abstract

Nuclear respiratory factor-1 (Nrf1) and mitochondrial transcription factor A (TFAM) are involved in the regulation of a variety of mitochondrial functional genes, which are associated with decreased sensitivity of tumor cells to chemotherapy. However, the expression status of Nrf1 and TFAM, as well as their clinical significance in breast cancer, is unknown. In the present study, tumor tissues and corresponding adjacent normal tissues were collected from 336 patients with breast cancer, and Nrf1 and TFAM expression was analyzed by immunohistochemistry using a tissue microarray. Expression of Nrf1 and TFAM was significantly increased in breast cancer tissue compared with adjacent normal tissues. In addition, patients positive for Nrf1 or TFAM had a poorer clinical prognosis than patients who were negative, and those positive for Nrf1 and TFAM had the shortest survival time. These results suggest that Nrf1 and TFAM are potential biomarkers for the determination of individualized therapy and the prognosis of breast cancer, and molecular targeting of Nrf1 and TFAM is a promising strategy for the sensitization of breast cancer cells to chemotherapeutics.

Entities:  

Keywords:  breast cancer; mitochondrial transcription factor A; nuclear respiratory factor-1; prognosis

Year:  2017        PMID: 29434836      PMCID: PMC5774493          DOI: 10.3892/ol.2017.7487

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Breast cancer is one of the most common malignancies globally and a major cause of cancer-associated mortality in women (1). Cisplatin (DDP) is the first line chemotherapeutic drug for solid tumor types, including breast cancer. However, DDP resistance is one of the current challenges facing the management of breast cancer patients. DDP primarily acts to form complexes with mitochondrial DNA (mtDNA), leading to mitochondria damage and concomitant cell death through the intrinsic apoptosis pathway (2,3). Furthermore, DDP reduces mtDNA copies and increases the sensitivity of tumor cells to chemotherapy (4). Thus, dysregulation of mtDNA copy number and gene expression may be associated with the progression and prognosis of breast cancer following DDP treatment. Mitochondrial transcription factor A (TFAM) drives the transcription and replication of mtDNA and is involved in the regulation of mtDNA copies and the maintenance and repair of mitochondrial genes (5). Therefore, TFAM is important in terms of the functional integrity of the mitochondrial respiratory chain and the maintenance of balance between anti-oxidation and oxidation (5). Nuclear respiratory factor-1 (Nrf1) may bind to the promoter of the TFAM gene to regulate TFAM expression, and may be involved the biogenesis and adenosine triphosphate (ATP) production in mitochondria (6,7). NRF1 and TFAM expression has been demonstrated to be associated with the clinical features of certain tumor types, including esophageal squamous cell carcinoma, colorectal, liver and bladder cancer (8–11). NRF1 and TFAM mRNA and protein expression have been demonstrated to be positive in patients with breast cancer compared with adjacent normal patients or in MCF-7, MDA-MB-231 and MDA-MB-453 cell lines compared with a control Hs578T cell line (12,13), but NRF1 and TFAM expression patterns in breast cancer and adjacent normal tissues, as well as their clinical significance, remain unclear. In the present study, breast cancer tissues and adjacent normal tissues were collected from patients, and immunohistochemistry array analysis of Nrf1 and TFAM protein expression was performed. The results of the present study demonstrated that Nrf1 and TFAM protein expression was increased in the cancer cells of patients with different types of breast cancer, and patients who were positive for Nrf1 and TFAM had a decreased long-term survival rate compared with patients who were negative.

Materials and methods

Patients

All patients with primary breast cancer who had undergone initial surgery at the First Affiliated Hospital of The Second Military Medical University (Changhai Hospital, Shanghai, China) between January 2009 and June 2010 were screened for enrolment in the present study by reviewing electronic charts. Patients who presented with other primary tumor sites or who received preoperative radiotherapy or chemotherapy were excluded. A total of 388 patients were enrolled in the present study and 336 patients with complete clinical information were included for further analysis. The following variables were recorded: Patient age at diagnosis, menopausal status, largest tumor diameter, number of lymph node metastases, tumor-node-metastasis stage (TNM, NCCN Guidelines, Breast Cancer Version 3.2014) (14) and histologic grade. Clinicopathological characteristics for these patients are detailed in Table I. All tissue specimens used in the present study were obtained with written informed consent from the patients, and the Ethics Committee of Changhai Hospital granted approval for this measure and the research protocol.
Table I.

Clinical characteristics of patients enrolled in the present study.

Clinicopathological variableValue
Median age, years (range)53 (30–81)
Menopausal status (%)
  Premenopausal152 (45.2)
  Postmenopausal184 (54.8)
TNM stage (%)
  I104 (31.0)
  II195 (58.0)
  III37 (11.0)
Pathological diagnosis (%)
  Invasive ductal carcinoma312 (92.9)
  Non-invasive ductal carcinoma24 (7.1)
Histological grade (%)
  116 (4.8)
  2216 (64.3)
  3104 (30.9)
Erb-b2 receptor tyrosine kinase 2 status (%)
  Negative280 (83.3)
  Positive56 (16.7)
Estrogen receptor status (%)
  Negative152 (45.2)
  Positive184 (54.8)
Progesterone receptor status (%)
  Negative198 (58.9)
  Positive138 (41.1)

Tissue microarray (TMA) and immunohistochemistry (IHC)

Large core TMAs were used in order to cover a larger number of tumor cells and represent the typical pathological changes, as described previously (15). Tissues were embedded in paraffin and sectioned (4 µm thickness) for hematoxylin (4 min) and eosin (3 min) staining (25°C). Pathological examination was performed by an experienced pathologist, and the region of interest was marked on the basis of the HE staining results. Away from areas of ulceration and necrosis, 1.5-mm diameter cylinders were punched from the center of the excised tumor and re-embedded into a recipient paraffin block, using a tissue-arraying instrument (Beecher Instruments, Inc., Sun Prairie, WI, USA). The microarray sections were randomly inspected, processed for HE staining and observed under a light microscope for quality control. The TMA blocks were then cut into 4-mm sections and processed for IHC. Tissues were fixed in 4% neutral formalin at 4°C for 24 h and embedded in paraffin. Tissue sections were dewaxed and washed with 3% hydrogen peroxide at room temperature for 15 min, followed by further washing with double distilled water for 6 min and PBS for 6 min. The microarray sections were put into the microwave oven and heated until boiling in 0.01 mol/l sodium citrate buffer solution (pH 6.0) for 5 min, repeated 2 times, then cooled at room temperature for 20 min, before being washed in PBS. Sections were incubated in horse serum (10%) at room temperature for 40 min. Sections were then incubated in PBS containing 1% bovine serum albumin (pH 7.4) overnight followed by secondary antibody. The TFAM (K-18′ cat. no. sc19050; goat anti-human) and Nrf1 (h-300; cat no. 33771; rabbit anti-human) antibodies (Santa Cruz Biotechnology, Inc., Dallas, TX, USA) were used at final dilutions of 1:100 and 1:1,000 overnight at 4°C respectively. Immunostaining was conducted using the Dako EnVision System with diaminobenzidine according to the manufacturer's protocol (Dako, Glostrup, Denmark). AperioImageScope v11.2.2.752 software (http://aperio-imagescope.software.Informer.com) was used to capture images, which were then independently evaluated by two experienced pathologists who were blind to the clinicopathological factors of the patients in the present study. Any discrepancy was resolved by consulting a third pathologist.

Semi-quantitative criteria

A semi-quantitative evaluation of Nrf1 and TFAM positive staining in IHC was performed using a previously described method (15). Briefly, five representative images from IHC for Nrf1 and TFAM were captured from each section at a high magnification (×200). The staining intensity compared with the background and the percentage of positive cells were determined in a blind manner. The percentage of positive cells was divided into five grades (percentage scores): 0, <10; 1, 10–25; 2, 26–50; 3, 51–75; and 4, >75%. The intensity of staining was divided into four grades (intensity scores): 0, no staining; 1, light brown; 2, brown; and 3, dark brown. The total scores (percentage score × intensity score) ranged from 0 to 12, and were divided into low expression (0–2) or high expression (3–12) groups.

Clinicopathological parameters and their classifications

Estrogen receptor (ER) and progesterone receptor (PR) status were classified thus: Cells positive for ER and PR had immunoreactivity in the nuclei with or without cytoplasmic staining in IHC. The nucleus was a major site where immunoreactivity existed for ER and PR, and cells with only cytoplasmic immunoreactivity were regarded as negative for ER or PR. ER and PR expression was determined according to the percentage of positive cells: Negative, ≤10%; positive, >10%. Erb-b2 receptor tyrosine kinase 2 (HER2) protein expression was assessed by IHC. Cells were regarded as positive for HER2 when 3+ was noted in IHC or 2+ was present in IHC and simultaneous positive staining was observed in fluorescence in situ hybridization (FISH) (16). FISH analysis was performed using the PathVysion HER-2 probe kit (Abbott Pharmaceutical Co. Ltd., Lake Bluff, IL, USA). There were two fluorescent-labelled probes: LSI (locus-specific identifier) HER-2 specific for the HER-2 gene locus (17q11) and CEP (chromosome enumeration probe) 17 specific for the α satellite DNA sequence at the centromeric region of chromosome 17. Paraffin sections of 3–4 mm thickness using a microtome were cut and were floated in a protein-free water bath at 40°C. The sections were mounted on poly-L-Lysine coated slides and allowed to dry. The slides were kept overnight at 56°C. The slides were deparaffinized in xylene at room temperature for 20 min and dehydrated in 100% ethanol for 15 min at room temperature and air dried. The slides were treated with pretreatment solution (sodium thiocyanite) and protease solution for 15 min, and were dehydrated with 70, 80 and 100% alcohol for 5 min each and air dried. The probe was denatured at 80°C for 5 min, applied to the cover slip and placed in humidified chamber for overnight incubation. Post-hybridization washes were given with 0.4% sodium saline citrate 40 at 37°C. Following removal of the cover slips the slides were dipped in post-hybridization buffer for 18 sec, dried completely in darkness and 10 µl DAPI was applied. The slides were screened under a fluorescent microscope (Olympus Corporation, Tokyo, Japan) using appropriate filters (DAPI, FITC, TRITC dual and triple band pass filters). Signals were counted in at least 200 cells for both the HER-2/neu gene and chromosome 17 centromere signals under oil immersion at ×1,000 magnification using recommended filters. Results are expressed as the ratio of HER-2/neu signal (orange) to centromere 17 signal (green) and the readings were read as follows; the expected ratio 1–1.8 indicates no gene amplification (negative), a ratio of >2.2 as HER-2/neu gene amplification (positive), and a ratio between 1.8 and 2.2 as equivocal cases. The polysomy 17 was also recorded in the cells as four spec green signals as moderate polysomy and >4 spec green signals as high polysomy. Menopause was defined when one of following conditions was present: i) patients received bilateral oophorectomy; ii) patients were ≥60 years old; iii) patients were <60 years old, but follicle-stimulating hormone (FSH) and estradiol levels were in the postmenopausal range. The menopause could not be determined in patients who were receiving luteinizing hormone-releasing hormone agonists or antagonists, and amenorrhea was not enough to determine menopause in premenopausal women receiving adjunctive chemotherapy. Under these conditions, repeated measurements of FSH and/or estradiol were required to determine whether there was a menopausal status in these patients. Histological grading was based on the semiquantitative evaluation of three morphologic features (percentage of tubule formation, degree of nuclear pleomorphism, and accurate mitotic count in a defined field area) with a 3-point grading system (1, good, to 3, poor). The numerical score assigned to each feature was used in the compilation of an overall grade: Scores 3–5, grade 1; scores 6–7, grade 2; scores 8–9, grade 3 (17). The number of involved lymph nodes was scored thus: 1 involved lymph node, 1; 1–3 lymph nodes, 2; 4–9 lymph nodes, 3; ≥10 lymph nodes, 4.

Statistical analysis

SPSS 19.0 software (IBM Corp., Armonk, NY, USA) and GraphPad software (version 5.01; GraphPad Software, Inc., La Jolla, CA, USA) were used for statistical analysis and image processing, respectively. The protein expression of Nrf1 and TFAM in breast cancer tissues were compared with adjacent normal tissues using the Wilcoxon rank sum test. Associations between Nrf1 and TFAM expression and clinicopathological features were assessed using Pearson's χ2 test. Multivariate analysis was performed using logistic regression. Overall survival (OS) was measured from the date of diagnosis until mortality or the last follow-up. Patients alive were censored at the time of last contact. OS rates were estimated using the Kaplan-Meier method and compared using the log-rank test. The Cox proportional hazards regression model was performed for univariate and multivariate survival analysis. P<0.05 was considered to indicate a statistically significant difference.

Results

Nrf1 and TFAM expression in breast cancer and adjacent normal tissues

Nrf1 and TFAM protein expression was measured in 336 patients with TMAs. Fig. 1 presents the arrangement of representative TMAs and images captured at different magnifications following IHC analysis. Representative images with different percentages of positive cells and different staining intensities captured following immunohistochemistry for Nrf1 and TFAM are presented in Figs. 2 and 3, respectively. For sections without positive cells (0%), the staining intensity was also classified as 0. The majority of Nrf1-positive cells had brown staining in the nuclei (Fig. 2) with only a fraction of cancer cells expressing Nrf1 in the cytoplasm (Fig. 1) or in the nuclei and cytoplasm (data not shown). TFAM expression was observed in the cytoplasm of breast cancer cells (Fig. 3).
Figure 1.

Preparation of tissue microarrays and images from immunohistochemistry. Tissue microarray was prepared as described in Materials and Methods. Antibodies against TFAM and Nrf1 (1:100 or 1:1,000) were employed for immunohistochemistry. AperioImageScope was used to capture images. The microarrays of each patient for Nrf1 and TFAM were screened and analyzed at different magnifications.

Figure 2.

Images of immunohistochemistry for Nrf1 and determination of staining intensity. (A) Examples of sections with different proportions of Nrf1 positive cells; (B) Examples of images with staining intensity score of 1 and 2. In Figure A, sections without positive cells had the corresponding staining intensity of 0. Sections with staining intensity of higher than 3 were not found in the breast cancer and adjacent normal tissues. The lower panels were the higher magnification visual field of the upper marked area.

Figure 3.

Images of immunohistochemistry for TFAM and determination of staining intensity. (A) sections with different proportions of TFAM positive cells; (B) images with staining intensity score of 1 and 2. In Figure A, sections without positive cells had the corresponding staining intensity of 0. Sections with staining intensity of higher than 3 were not found in the breast cancer and adjacent normal tissues. The lower panels were the higher magnification visual field of the upper marked area.

The association between Nrf1 and TFAM expression was evaluated in 336 patients. Paired χ2 tests revealed that Nrf1 and TFAM expression were not significantly associated (κ=0.057, P=0.258). The positive rate of Nrf1 expression was significantly increased compared with TFAM in breast cancer cells (75.3% compared with 57.1%; P<0.001). Nrf1 binds to the promoter of TFAM to initiate TFAM expression (6,7). The results of the present study demonstrated that the alteration of Nrf1 expression was not parallel to that of TFAM in breast cancer cells, suggesting that, besides Nrf1, there are additional mechanisms regulating TFAM expression.

Nrf1 and TFAM expression is increased in breast cancer tissues compared with adjacent normal tissues

To investigate the involvement of Nrf1 and TFAM in the occurrence and development of breast cancer, Nrf1 and TFAM expression was compared in breast cancer tissues and in the corresponding adjacent normal tissues from 41 patients (Table II). For Nrf1 positive cells, the mean and median integrations were 1.878 [95% confidence interval (CI): 1.368–2.388] and 2.0 (25–75th percentile range: 0–3.5) in breast cancer tissue, and 0.756 (95% CI: 0.405–1.107) and 0 (25–75th percentile range: 0–2) in the adjacent normal tissues (Fig. 4A). Wilcoxon rank sum tests revealed significant differences in the mean and median integrations between breast cancer and adjacent normal tissues, with more Nrf1 positive cells being observed in the breast cancer tissue compared with normal tissues (P<0.0001; Fig. 4B). For TFAM-positive cells, the mean and median integrations were 2.488 (95% CI: 1.686–3.290) and 3.0 (25–75th percentile range: 0–4) in the breast cancer tissue, and 1.366 (95% CI: 0.899–1.833) and 2.0 (25–75th percentile range: 0–2) in the adjacent normal tissues (Fig. 4C). Wilcoxon rank sum tests revealed that the number of TFAM-positive cells in breast cancer tissue was significantly higher than that in the adjacent normal tissue (P=0.0126; Fig. 4D). These results demonstrated that Nrf1 and TFAM protein expression were significantly increased in breast cancer tissue compared with adjacent normal tissues, suggesting that Nrf1 and TFAM may be involved in the tumorigenesis of breast cancer and are potential targets for the therapy of breast cancer.
Table II.

Clinical characteristics of the 41 patients where expression of Nrf1 and TFAM was evaluated in cancer tissues and adjacent normal tissues.

Clinicopathological variableValue
Median age, years (range)54 (41–76)
Menopausal status (%)
  Premenopausal13 (31.7)
  Postmenopausal28 (68.3)
TNM stage (%)
  I19 (46.3)
  II18 (13.9)
  III4 (9.8)
Pathological diagnosis (%)
  Invasive ductal carcinoma35 (85.4)
  Non-invasive ductal carcinoma6 (14.6)
Histological grade (%)
  10 (0.0)
  228 (68.3)
  313 (31.7)
Erb-b2 receptor tyrosine kinase 2 status (%)
  Negative33 (80.5)
  Positive8 (19.5)
Estrogen receptor status (%)
  Negative36 (87.8)
  Positive5 (12.2)
Progesterone receptor status (%)
  Negative37 (90.2)
  Positive4 (9.8)
Figure 4.

Nrf1 and TFAM expression in breast cancer and adjacent normal tissues. Nrf1 and TFAM expressions were measured in the breast cancer and corresponding adjacent normal tissues of 41 patients, and then scored. (A and C) Examples showing Nrf1 and TFAM expression of the same patient; (B and D) Significant higher total expression scores of Nrf1 and TFAM were identified in breast cancer than adjacent normal tissues (Wilcoxon rank sum test, Nrf1, P<0.001; TFAM, P=0.0126). Horizontal line in B and D indicates the means in different groups.

Association of Nrf1 and TFAM expression with clinicopathological features of patients with breast cancer

Next, the associations between Nrf1 and TFAM protein expression and the clinicopathological features of patients with breast cancer were analyzed (Table III). The results revealed that Nrf1 expression was significantly associated with age, tumor size, number of metastatic lymph nodes, tumor stage, tumor grade and HER2, ER and PR expression status, but there was no significant association with menopause status or pathological type of breast cancer. Patients <45 years old had significantly increased Nrf1 expression compared with older patients (84.7 vs. 72.7%). Nrf1 expression in patients with a tumor size >2 cm, more metastatic lymph nodes or breast cancer at >TNM stage II or >grade 2 was significantly increased. Patients positive for HER2, ER and PR had markedly higher Nrf1 expression than patients negative for these factors.
Table III.

Associations between Nrf1 and TFAM expression and clinicopathological features.

Nrf1TFAM


Clinicopathological variableNegativePositiveχ2/P-valueNegativePositiveχ2/P-value
Age at diagnosis, years4.376/0.0360.589/0.443
  ≤4511612844
  >4572192116148
Menopausal status2.769/0.0960.001/0.975
  Premenopausal311216587
  Postmenopausal5213279105
Tumor size, cm25.925/<0.00128.329/<0.001
  ≤240805466
  2–53614863121
  ≥5725275
Lymph node metastasis10.763/0.0055.609/0.061
  0–167198106159
  216302719
  3–40251114
Tumor-node-metastasis stage35.243/<0.0013.283/0.194
  I34704361
  II1318280115
  III5322116
Pathological diagnosis2.276/0.131<0.001/1.000
  Invasive ductal carcinoma74238135180
  Non-invasive ductal carcinoma915912
Histology grade2.157/0.0342.379/0.304
  1610412
  24916789127
  328764757
Erb-b2 receptor tyrosine kinase 2 status5.379/0.0205.600/0.018
  Negative76204112168
  Positive7493224
Estrogen receptor status10.015/0.00226.675/<0.001
  Negative501026488
  Positive3315180104
Progesterone receptor status13.124/<0.00135.754/<0.001
  Negative6313587111
  Positive20118781
TFAM expression was also associated with the tumor size and HER2, ER and PR status. Patients positive for HER2, ER and PR had increased TFAM expression compared with those who were not, while patients with tumor size of >2 cm had a slight reduction in TFAM expression. These results indicated that Nrf1 and TFAM expression is associated with factors associated with the clinical outcome of patients with breast cancer, and thus may serve as important predictors for patients for breast cancer.

Association between Nrf1 and TFAM expression and the clinical prognosis of breast cancer

To further evaluate the associations between Nrf1 and TFAM expression and the clinical prognosis of patients with breast cancer, the relationship between Nrf1 and TFAM expression and survival time was assessed. Survival analysis revealed that patients with breast cancer with higher Nrf1 or TFAM expression had a poorer clinical prognosis, as demonstrated by a shorter survival time (Fig. 5A and B). At the predesigned time points, the expected survival time was 91.76 months (95% CI: 86.56–96.96, P=0.008) in patients positive for Nrf1, which was significantly shorter than in Nrf1-negative patients (117.55 months; 95% CI: 109.95–125.15). The expected survival time was 85.56 months (95% CI: 79.78–91.35) in patients positive for TFAM, which was significantly shorter than in TFAM-negative patients (113.46 months; 95% CI: 106.88–120.035, P=0.001). Furthermore, patients positive for Nrf1 and TRAM had the shortest survival time (82.07 months, 95% CI: 75.154–88.99) and those negative for both Nrf1 and TRAM had the longest survival time (121.82 months, 95% CI: 113.01–130.63; P<0.001; Fig. 5C). These results revealed that Nrf1 or TFAM-positive patients had a shorter survival time, and Nrf1 and TRAM-double positive patients had a poorer clinical outcome. To explore whether Nrf1 and TFAM expression was an independent predictor of survival, univariate and multivariate analyses were performed using the Cox proportional hazards model. As presented in Table IV, Nrf1 expression was independently associated with the prognosis of patients (P=0.034), together with TFAM (P=0.048), HER2 (P=0.042), PR (P=0.039) and TNM stages (P=0.028). These results suggest that Nrf1 and TFAM may serve as predictors for breast cancer prognosis, and the combined use of Nrf1 and TFAM may assist risk stratification and subsequent therapy of breast cancer.
Figure 5.

Patients with high Nrf1 and TFAM expressions had a poor prognosis. Univariate analysis showed breast cancer patients positive for Nrf1 (A, P=0.008) or TFAM (B, P=0.001) had a significantly shorter survival time as compared to patients negative for Nrf1 or TFAM. Moreover, the survival time was the shortest in patients positive for both Nrf1 and TFAM and the highest in those negative for both Nrf1 and TFAM (C, P<0.001).

Table IV.

Univariate and multivariate analysis of overall survival the enrolled 336 patients with breast cancer.

Univariate analysisMultivariate analysis


FactorHR95% CIP-valueHR95% CIP-value
Age1.1190.926–1.3130.854
Menopausal1.9590.793–3.1250.485
Histology grade2.3970.581–4.2120.092
TNM6.3653.884–15.8450.0053.6450.968–7.7430.028
HER23.2451.263–6.2350.0122.0260.668–5.0350.042
ER2.8261.035–5.0140.0451.8690.893–3.2540.051
PR2.9561.156–5.4260.0311.9260.998–3.5470.039
Nrf14.8962.552–13.3120.0013.1541.021–7.2160.034
TFAM3.9360.031–0.4350.0092.5360.649–5.2680.048

TNM, tumor-node-metastasis; HER2, erb-b2 receptor tyrosine kinase 2; ER, estrogen receptor; PR, progesterone receptor; Nrf1, nuclear respiratory factor-1; TFAM, mitochondrial transcription factor A.

Discussion

The mitochondrion is an important organelle in eukaryotic cells, and is the site where intracellular oxidative phosphorylation and ATP synthesis occur. Each mitochondrion is estimated to contain 2–10 copies of mtDNA, which are unique extranuclear genetic materials that self-replicate and are involved in transcription and encoding. The synthesis and degradation of mtDNA is very rapid, independent of the cell cycle, and is controlled by complex regulatory mechanisms. Furthermore, mtDNA has poor stability, its synthesis and degradation is susceptible to exogenous factors, and the mtDNA mutation rate is 10 times greater than that of nuclear DNA. Mitochondria are also involved in important cellular activities including cell differentiation, communication, apoptosis and energy metabolism, but the specific mechanisms underlying these are still poorly understood (4). An analysis of genome-wide transcriptional profiling data revealed that ~40 transcripts were significantly elevated in human breast cancer cells compared with adjacent stromal tissues, and immunohistochemistry revealed that 15 markers of mitochondrial biogenesis and/or mitochondrial translation (including Nrf1 and TFAM) were highly expressed in epithelial breast cancer cells (18). In estrogen-induced breast carcinogenesis, Nrf1 expression markedly increased in MCF-10A cells (19). Furthermore, the mRNA and protein levels of Nrf1 and/or TFAM were revealed to dramatically increase in different types of breast cancer (12,13). These results indicate that Nrf1 and TFAM expression may be associated with the occurrence and development of breast cancer. TFAM is encoded by a gene mapped to chromosome10q21 and belongs to the high mobility group box family. Human TFAM may directly bind to the heavy and light chain promoters to activate the transcription of mitochondrial genes and regulate mtDNA copies, which is essential for the functional integrity of mitochondrial respiratory chain (20–22). TFAM overexpression results in an increase in mtDNA copies, while TFAM knockout resulted in a decrease in several murine organs and tissues (22,23). Cells with TFAM deficiency demonstrated a significant increase in cell apoptosis (21,24). At the initial stage of p53 dependent apoptosis, p53 may bind to TFAM to strengthen the binding of TFAM to DDP-damaged mtDNA, which may contribute to the maintenance and repair of mtDNA structure and regulate p53-mediated cell apoptosis (25). Yoshida et al (26) confirmed that TFAM preferentially recognized DDP-damaged DNA. These results suggest that TFAM may protect mtDNA against DDP-induced damage and promote repair of the damaged mtDNA, implying that a high TFAM expression may contribute to the resistance of cancer cells to DDP-based chemotherapy, thereby influencing the clinical outcome. The proximal promoter of the TFAM gene contains the binding sites of specificity protein 1 (SP1), Nrf1 and nuclear respiratory factor-2 (Nrf2). Nrf1 binding is a determinant for the bioactivity of TFAM. Mutation or methylation of the Nrf1 binding site on the TFAM gene may significantly reduce TFAM transcription, while Nrf1 phosphorylation may stimulate it. Furthermore, SP1 and Nrf2-induced TFAM transcription also requires Nrf1 binding (27,28). Thus, Nrf1 is functionally associated with TFAM and is regarded as an important regulator of TFAM. Nrf1, together with TFAM, may regulate the expression of a variety of mitochondrial functional proteins, including those involved in oxidative phosphorylation, complex I–V, mtDNA transcription and replication, protein import and assembly, ion channels, shuttle and translation (29). Thus, evaluation of Nrf1 and TFAM expression in breast cancer and adjacent normal tissues, and their predictive value, will assist in the identification of novel targets for the individualized therapy of breast cancer, the risk stratification of breast cancer, and the improvement of clinical therapeutic efficacy and prognosis of patients with breast cancer. In the present study, Nrf1 and TFAM expression was assessed in breast cancer tissues and adjacent normal tissues of 336 patients by immunohistochemistry, and the associations with clinicopathological features were further evaluated in these patients. The results of the present study revealed that Nrf1 and TFAM expression was significantly higher in breast cancer tissue compared with adjacent normal tissues, suggesting that high expression of Nrf1 and TFAM may contribute to the high energy metabolism of breast cancer cells. In estrogen-induced breast carcinogenesis in MCF-10A cells, Nrf1 expression markedly increased, further supporting the conclusion that Nrf1 and TFAM are involved in the tumorigenesis of breast cancer (18). However, further investigation revealed that the Nrf1-positive rate was higher than the TFAM-positive rate in breast cancer tissues. This may be explained by the fact that Nrf1-induced transcription of TFAM is associated with not only Nrf1 expression levels, but also Nrf1 phosphorylation and methylation (27,28). Statistical analysis revealed that high expression of Nrf1 and TFAM was associated with several clinicopathological features associated with the prognosis of breast cancer. Patients with increased Nrf1 or TFAM expression had a shorter survival time, and survival was shortest in patients positive for Nrf1 and TFAM. Considering that Nrf1 is able to regulate TFAM expression, Nrf1 may effectively activate TFAM and its downstream signaling pathway in patients positive for Nf1 and TFAM. Cancer cells in these patients may have a more active energy metabolism, increased proliferation and invasion, and elevated resistance to routine radiotherapy or chemotherapy, resulting in a poorer clinical prognosis. The significant associations with HER2, ER, PR expression status and Nf1 or TFAM expression indicates that HER2, ER and PR may be involved in the protective mechanism of TFAM against DDP-mediated mtDNA damage. More mechanistic studies, however, are required to further clarify the potential associations between expression of these proteins and their function in the etiology of breast cancers. In summary, to the best of our knowledge, the results of the present study are the first to provide clinical evidence that Nrf1 and/or TFAM expression significantly increase in breast cancer compared with adjacent normal tissues. In addition, patients positive for Nrf1 or TFAM have a relatively poor clinical prognosis, and those positive for Nrf1 and TFAM have the shortest survival time. These results suggest that Nrf1 and/or TFAM expression may be useful as a parameter for the determination of individualized therapy and the prognosis of breast cancer, and Nrf1 and TFAM may be novel targets for the development of targeted therapies to reduce the resistance of breast cancer cells to chemotherapeutics.
  29 in total

1.  Three-dimensional structure of the apoptosome: implications for assembly, procaspase-9 binding, and activation.

Authors:  Devrim Acehan; Xuejun Jiang; David Gene Morgan; John E Heuser; Xiaodong Wang; Christopher W Akey
Journal:  Mol Cell       Date:  2002-02       Impact factor: 17.970

Review 2.  Mitochondrial transcription factor A (mtTFA) and diabetes.

Authors:  Y S Choi; S Kim; Y K Pak
Journal:  Diabetes Res Clin Pract       Date:  2001-12       Impact factor: 5.602

3.  Increased in vivo apoptosis in cells lacking mitochondrial DNA gene expression.

Authors:  J Wang; J P Silva; C M Gustafsson; P Rustin; N G Larsson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-20       Impact factor: 11.205

4.  Frequent truncating mutation of TFAM induces mitochondrial DNA depletion and apoptotic resistance in microsatellite-unstable colorectal cancer.

Authors:  Jianhui Guo; Li Zheng; Wenyong Liu; Xianshu Wang; Zemin Wang; Zehua Wang; Amy J French; Dongchon Kang; Lin Chen; Stephen N Thibodeau; Wanguo Liu
Journal:  Cancer Res       Date:  2011-04-05       Impact factor: 12.701

5.  Overexpression of PGC1α and accumulation of p62 in apocrine carcinoma of the breast.

Authors:  Fumi Fuchinoue; Yukari Hirotani; Yoko Nakanishi; Hiromi Yamaguchi; Haruna Nishimaki; Hiroko Noda; Xiao Yan Tang; Misato Iizuka; Sadao Amano; Masahiko Sugitani; Norimichi Nemoto; Shinobu Masuda
Journal:  Pathol Int       Date:  2014-12-16       Impact factor: 2.534

6.  P53 physically interacts with mitochondrial transcription factor A and differentially regulates binding to damaged DNA.

Authors:  Yoichiro Yoshida; Hiroto Izumi; Takayuki Torigoe; Hiroshi Ishiguchi; Hideaki Itoh; Dongchon Kang; Kimitoshi Kohno
Journal:  Cancer Res       Date:  2003-07-01       Impact factor: 12.701

7.  Mitochondrial transcription factor A regulates mtDNA copy number in mammals.

Authors:  Mats I Ekstrand; Maria Falkenberg; Anja Rantanen; Chan Bae Park; Martina Gaspari; Kjell Hultenby; Pierre Rustin; Claes M Gustafsson; Nils-Göran Larsson
Journal:  Hum Mol Genet       Date:  2004-03-11       Impact factor: 6.150

8.  Mitochondria "fuel" breast cancer metabolism: fifteen markers of mitochondrial biogenesis label epithelial cancer cells, but are excluded from adjacent stromal cells.

Authors:  Federica Sotgia; Diana Whitaker-Menezes; Ubaldo E Martinez-Outschoorn; Ahmed F Salem; Aristotelis Tsirigos; Rebecca Lamb; Sharon Sneddon; James Hulit; Anthony Howell; Michael P Lisanti
Journal:  Cell Cycle       Date:  2012-11-21       Impact factor: 4.534

9.  Natural antioxidants exhibit chemopreventive characteristics through the regulation of CNC b-Zip transcription factors in estrogen-induced breast carcinogenesis.

Authors:  Anwesha Chatterjee; Amruta Ronghe; Bhupendra Singh; Nimee K Bhat; Jie Chen; Hari K Bhat
Journal:  J Biochem Mol Toxicol       Date:  2014-08-06       Impact factor: 3.642

10.  Decoding a signature-based model of transcription cofactor recruitment dictated by cardinal cis-regulatory elements in proximal promoter regions.

Authors:  Christopher Benner; Sergiy Konovalov; Carlos Mackintosh; Kasey R Hutt; Rieka Stunnenberg; Ivan Garcia-Bassets
Journal:  PLoS Genet       Date:  2013-11-07       Impact factor: 5.917

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  8 in total

1.  Mitochondrial transcription factor B1 promotes the progression of hepatocellular carcinoma via enhancing aerobic glycolysis.

Authors:  Jiao Mu; Yiyuan Tian; Fengzhou Liu; Zijun Wang; Rui Tan; Bei Zhang; Penghe Quan; Hongxin Zhang; Jingyue Yang; Peng Yuan
Journal:  J Cell Commun Signal       Date:  2021-11-25       Impact factor: 5.908

2.  The mitochondrial transcription machinery genes are upregulated in acute myeloid leukemia and associated with poor clinical outcome.

Authors:  Sharon Wu; Nicole Fahmy; Houda Alachkar
Journal:  Metabol Open       Date:  2019-05-10

Review 3.  Mitochondrial HMG-Box Containing Proteins: From Biochemical Properties to the Roles in Human Diseases.

Authors:  Veronika Vozáriková; Nina Kunová; Jacob A Bauer; Ján Frankovský; Veronika Kotrasová; Katarína Procházková; Vladimíra Džugasová; Eva Kutejová; Vladimír Pevala; Jozef Nosek; Ľubomír Tomáška
Journal:  Biomolecules       Date:  2020-08-16

4.  Cyclooxygenase-2-Mediated Up-Regulation of Mitochondrial Transcription Factor A Mitigates the Radio-Sensitivity of Cancer Cells.

Authors:  Fan Tang; Rui Zhang; Jun Wang
Journal:  Int J Mol Sci       Date:  2019-03-11       Impact factor: 5.923

5.  Elevated TEFM expression promotes growth and metastasis through activation of ROS/ERK signaling in hepatocellular carcinoma.

Authors:  Lixin Wan; Yang Wang; Zijie Zhang; Jiaxin Wang; Menglan Niu; Yuanyuan Wu; Yating Yang; Yongxia Dang; Shuang Hui; Meng Ni; Bo Wan; Dengke Bao
Journal:  Cell Death Dis       Date:  2021-03-26       Impact factor: 8.469

6.  Role of mitochondrial translation in remodeling of energy metabolism in ER/PR(+) breast cancer.

Authors:  Emine C Koc; Fatih C Koc; Funda Kartal; Maria Tirona; Hasan Koc
Journal:  Front Oncol       Date:  2022-08-30       Impact factor: 5.738

7.  LSD1-ERRα complex requires NRF1 to positively regulate transcription and cell invasion.

Authors:  Ling Zhang; Julie Carnesecchi; Catherine Cerutti; Violaine Tribollet; Séverine Périan; Christelle Forcet; Jiemin Wong; Jean-Marc Vanacker
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

8.  ATF4 activation promotes hepatic mitochondrial dysfunction by repressing NRF1-TFAM signalling in alcoholic steatohepatitis.

Authors:  Liuyi Hao; Wei Zhong; Haibo Dong; Wei Guo; Xinguo Sun; Wenliang Zhang; Ruichao Yue; Tianjiao Li; Alexandra Griffiths; Ali Reza Ahmadi; Zhaoli Sun; Zhenyuan Song; Zhanxiang Zhou
Journal:  Gut       Date:  2020-11-11       Impact factor: 23.059

  8 in total

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