Literature DB >> 22319610

NEFL mRNA expression level is a prognostic factor for early-stage breast cancer patients.

Xiao-Qing Li1, Lin Li, Chun-Hua Xiao, Yu-Mei Feng.   

Abstract

Neurofilament, light polypeptide (NEFL) was demonstrated to be ectopically expressed in breast cancer tissues and decreased in lymph node metastases compared to the paired primary breast cancers in our previous study. Moreover, in several studies, NEFL was regarded as a tumor suppressor gene, and its loss of heterozygosity (LOH) was related to carcinogenesis and metastasis in several types of cancer. To explore the role of NEFL in the progression of breast cancer and to evaluate its clinical significance, we detected the NEFL mRNA level in normal breast tissues, primary breast cancer samples and lymph node metastases, and then analyzed the association between the NEFL expression level and several clinicopathological parameters and disease-free survival (DFS). NEFL mRNA was found to be expressed in 92.3% of breast malignancies and down-regulated in lymph node metastases compared to the paired primary tumors. NEFL mRNA level was lower in primary breast cancers with positive lymph nodes than in cancers with negative lymph nodes. Moreover, a low expression level of NEFL mRNA indicated a poor five-year DFS for early-stage breast cancer patients. Thus, NEFL mRNA is ectopically expressed in breast malignancies and could be a potential prognostic factor for early-stage breast cancer patients.

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Year:  2012        PMID: 22319610      PMCID: PMC3271096          DOI: 10.1371/journal.pone.0031146

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


Introduction

Neuronal intermediate filaments, or neurofilaments, consist of three subunits: a light polypeptide (NEFL/NFL), a medium polypeptide (NEFM/NFM), and a heavy polypeptide (NEFH/NFH), with molecular weights of 68, 160, and 212 kilodaltons, respectively [1]. Neurofilaments play a key role in maintaining the morphology of neurons and in regenerating myelinated axons. Perturbations in NEFL, the backbone of the neurofilament, have been suggested to be responsible for motor neuron diseases, such as Charcot-Marie-Tooth disease, type 2E (CMT2E) [2]. In addition to its influence on the nervous system, NEFL has been shown to act as a tumor suppressor. The NEFL gene is located on chromosome 8p21, a region enriched with tumor suppressor genes, and loss of heterozygosity (LOH) is frequent in this region [3], [4], [5]. Accumulating evidence supports that LOH at 8p21 is involved in the carcinogenesis of breast [6], [7], [8], [9], [10], prostate [5], [11], [12], [13], [14], [15], lung [16], [17], colon [4], [18], and urinary bladder cancers [19]. LOH at the NEFL microsatellite is not only related to carcinogenesis but is also involved in metastasis of several types of cancers. LOH of the NEFL microsatellite is more frequent in lymph node and distant organ metastases than in primary tumor tissues from which the metastasis arose, and it positively correlates with tumor size, histological grade, lymph node status, and clinical outcome [8], [9], [14], [20], [21]. Furthermore, the frequency of LOH at the NEFL microsatellite has been reported to be about 20–40% in breast cancer [6], [8], [9], [10]. NEFL is expressed in neurons with strict histological specificity in normal tissues. In a previous study, we demonstrated that ectopic NEFL mRNA expression could be detected in breast cancers and lymph node metastases; NEFL mRNA expression in the lymph node metastases was lower than that found in the paired primary breast cancer tissues [22]. These data indicate that the ectopic occurrence and change in NEFL mRNA expression level may play an important role in carcinogenesis and metastasis of breast cancer. Furthermore, NEFL (BF055311) was included in the 76-gene prognosis signature of breast cancer identified by Wang's group [23]. NEFL mRNA expression levels in primary breast cancer tissues from patients with poor prognoses within five years were lower than in cancer patients with good outcomes. By far, the role of NEFL expression in cancer and its power to predict the prognosis of breast cancer patients are unclear. Therefore, to explore the role of NEFL in the progression of breast cancer and to evaluate the clinical significance of NEFL in the predictive power of NEFL mRNA in determining the prognosis of breast cancer patients, we used real-time reverse transcription-polymerase chain reaction (RT-PCR) to measure the expression level of NEFL mRNA in normal breast tissue samples, primary breast cancer tissues and lymph node metastases and then analyzed the association between the NEFL expression level and several clinicopathological parameters, including menopausal status, tumor size, clinical stage, axillary lymph node status, histological grade, estrogen receptor (ER) status, progesterone receptor (PR) status, HER2 status, and disease-free survival (DFS).

Results

Expression Level of NEFL mRNA in Breast Tissues

NEFL mRNA could not be detected in any of the 11 normal breast tissues. Of the breast cancer samples, 91.7% (165/180) expressed NEFL mRNA as measured by real-time PCR analyses, and expression ranged from 5.54×10−8 to 2.79×10−4. NEFL mRNA was expressed in all of the 14 lymph node metastasis samples, and expression ranged from 5.52×10−8 to 9.46×10−6. The distribution of NEFL mRNA expression in breast tissues did not accord with a normal distribution. Based on the ROC analysis, the mRNA value (2.30×10−6) capable of distinguishing patients with relapse or distant metastasis from the patients with DFS in five years was used to group all of the samples into two groups: “NEFL-low” group (less than 2.30×10−6) and “NEFL-high” group (more than 2.30×10−6).

Difference in NEFL mRNA Expression between Malignant and Normal Breast Tissues

NEFL mRNA was not expressed in all of the normal breast tissues (11/11), and lower than it in their paired primary breast cancers (P<0.001). Moreover, NEFL mRNA was expressed in 97% primary cancer tissues and 100% lymph node metastasis samples, and the difference of NEFL mRNA levels between the malignant and normal breast tissues was statistically significant (P<0.001).

Correlation between NEFL mRNA Level and Lymph Node Metastases

For 14 of the patients with primary breast cancers, the paired lymph node metastases were available. NEFL mRNA was down-regulated more than 1.5-fold (from 1.97 to 78.36) in 71.4% (10/14) of the lymph node samples than in their paired primary cancer tissues (P = 0.011). And the NEFL mRNA expression levels were lower in the primary cancer specimens with positive lymph nodes than in cancers with negative lymph nodes. NEFL mRNA was highly expressed in 56.8% (42/74) of the lymph node-negative patients, but was highly expressed only in 39.6% (42/106) of the node-positive cases. This difference in the level of NEFL mRNA of breast cancer specimens between lymph node-positive and lymph node-negative cases was statistically significant (P = 0.023, Table 1).
Table 1

Correlation between NEFL mRNA Level and Clinicopathological Factors.

Clinicopathological FactorsTotal Cases NEFL mRNA Level P
LowHigh
Lymph node status Negative7432420.023
Positive1066442
Menopausal status Pre-/peri-9654420.364
Post-793940
missing532
Tumor size (cm) < = 27640360.872
>21045648
Clinical stage I+II15080701.000
III301614
Histological grade I+II12663630.475
III261511
missing281810
ER status Positive10248540.156
Negative673928
missing1192
PR status Positive7940390.946
Negative864442
missing15123
HER2 status Positive11258540.806
Negative522824
missing16106

Correlation between NEFL mRNA Level and Clinicopathological Factors

No significant differences in the NEFL mRNA level were found for any of the different clinicopathological factors, including menopausal status, tumor size, clinical stage, nuclear grade, ER status, PR status, and HER2 status (P>0.05, Table 1).

Correlation between NEFL mRNA Level and Disease-free Survival

In the 174 cases with follow-up data for more than three years, the 3-year DFS rate was 77.2% (71/92) in patients with low-expressed NEFL and 87.8% (72/82) in the patients with high-expressed NEFL. The 5-year DSF rates were 54.3% (38/70) and 80.4% (45/56) in patients with low-expressed NEFL and patients with high-expressed NEFL, respectively. Kaplan and Meier survival analysis suggests that the DFS time of patients with low-expressed NEFL was shorter than the DFS of patients with high-expressed NEFL (P = 0.004, Figure 1A). The sensitivity and specificity of NEFL mRNA expression levle to predict the clinical outcome of breast cancer patients were 74.4% and 53.3%, respectively (Table 2). Next, tumor size, clinical stage, histological grade, lymph node status, ER status, PR status, HER2 status, and NEFL level were analyzed in a Cox's multivariate analysis. As a result, tumor size greater than 5 cm [OR = 2.26 (95% CI 0.92–4.99), P = 0.079], high nuclear grade [OR = 2.70 (95% CI 1.28–5.71), P = 0.009], negative PR [OR = 2.32 (95% CI 1.05–5.13), P = 0.038], and low-expressed NEFL [OR = 2.69 (95% CI 1.24–5.88), P = 0.013] were independent factors in predicting the relapse or distant metastasis of breast cancer patients (Table 3).
Figure 1

DFS is decreased in patients with low-expressed NEFL.

Kaplan-Meier survival curves based on NEFL mRNA levels (A), NEFL mRNA levels combined with different clinical stages (B), lymph node status (C), and histological grades (D).

Table 2

Sensitivity and Specificity of NEFL mRNA Levels and Other Clinicopathological Variables to Predict the Relapse or Distant Metastasis in Five Years of Breast Cancer Patients.

VariablesOverallClinical Stage I/IINegative lymph nodeHistological Grade I/II
Sensitivity (%)Specificity (%)Sensitivity (%)Specificity (%)Sensitivity (%)Specificity (%)Sensitivity (%)Specificity (%)
NEFL 74.4 (32/43)53.3 (73/137)85.7 (24/28)54.1 (66/122)88.9 (8/9)63.1 (41/65)76.9 (20/26)57.0 (57/100)
Tumor size 74.4 (32/43)47.4 (65/137)60.7 (17/28)50.0 (61/122)55.6 (5/9)49.2 (32/65)73.1 (19/26)46.0 (46/100)
Lymph node status 79.1 (34/43)47.4 (65/137)78.6 (22/28)51.6 (63/122)NANA73.1 (19/26)45.0 (45/100)
Clinical stage 34.9 (15/43)89.1 (122/137)NANA50.0 (3/6)96.9 (63/65)38.5 (10/26)88.0 (88/100)
Grade 25.6 (11/43)87.0 (100/115)33.3 (8/24)87.1 (88/101)11.1 (1/9)86.5 (45/52)NANA
ER 48.8 (20/41)63.3 (81/128)34.6 (9/26)63.0 (73/114)33.3 (3/9)62.3 (38/61)46.2 (12/26)68.0 (66/97)
PR 69.2 (27/39)53.2 (67/126)60.0 (15/25)57.1 (64/112)50.0 (4/8)50.8 (31/61)77.3 (17/22)60.0 (57/95)
HER2 43.9 (18/41)73.2 (90/123)37.0 (10/27)75.2 (82/109)55.6 (5/9)70.4 (38/54)48.0 (12/25)72.3 (68/94)
Table 3

Hazard Ratios of Breast Cancer Patients Developing into Relapse or Distant Metastasis Based on Different NEFL mRNA Levels and the Status of Other Clinicopathological Prognostic Factors.

VariablesOverallClinical Stage I–IINegative lymph nodeHistological Grade I–II
OR (95% CI) P OR (95% CI) P OR (95% CI) P OR (95% CI) P
NEFL -low 2.69 (1.23–5.88)0.0135.13 (1.72–15.15)0.00312.20 (1.43–100.00)0.0222.78 (1.07–7.19)0.036
Tumor size >2 cm 2.14 (0.92–4.99)0.0791.84 (0.74–4.59)0.1931.11 (0.23–5.38)0.8931.96 (0.71–5.45)0.196
Grade III 2.70 (1.28–5.71)0.0093.16 (1.29–7.74)0.0121.28 (0.14–11.77)0.826NANA
PR-negative 2.32 (1.05–5.13)0.0382.07 (0.84–5.10)0.1131.16 (0.25–5.32)0.8454.12 (1.51–11.24)0.006

DFS is decreased in patients with low-expressed NEFL.

Kaplan-Meier survival curves based on NEFL mRNA levels (A), NEFL mRNA levels combined with different clinical stages (B), lymph node status (C), and histological grades (D). When the survival status of the patients with different NEFL expression levels and different stages of progression was analyzed, NEFL mRNA expression level was found to be a prognostic factor to predict DFS of early-stage breast cancer patients, including patients with clinical stage I/II disease (P = 0.0004, Figure 1B), patients with negative lymph nodes (P = 0.008, Figure 1C), and patients with histological grade I/II tumors (P = 0.006, Figure 1D). However, NEFL mRNA had a low predictive power to determine the DFS of late-stage breast cancer patients (P>0.05, Figure 1). Both the sensitivity and specificity to predict relapse or distant metastasis were higher in clinical stage I/II patients (85.7% and 54.1%, respectively), in node-negative patients (88.9% and 63.1%, respectively), or in histological grade I/II patients (76.9% and 57.0%, respectively) than them in predicting relapse or distant metastasis in overall breast cancer patients (74.4% and 53.3%, respectively; Table 2). In patients with clinical stage I/II, negative lymph nodes, and histological grade I/II, the hazard of relapse or distant metastasis of patients with low-expressed NEFL was 5.13-, 12.20-, and 2.78-fold higher, respectively, than in patients with high-expressed NEFL (Table 3).

Discussion

In the present study, NEFL mRNA was found to be ectopically expressed in breast malignancies. NEFL mRNA expression level was down-regulated in lymph node metastases compared to their paired primary tumors and was lower in the primary breast tumors of patients with positive lymph nodes than in patients with negative lymph nodes. Moreover, expression levels of NEFL mRNA indicated poor DFS in early-stage breast cancer patients. Although NEFL mRNA is expressed only in neurons with strict histology specificity in normal tissues, our study shows that NEFL mRNA is ectopically expressed in breast malignancies. These data are also supported by the findings of Wang's group [23]. In several previous studies [3], [4], [5], NEFL has been regarded as a tumor suppressor gene, and its LOH has been related to the carcinogenesis of several types of cancer. Wiedau-Pazos et al. [24] suggested a link between Cu2+/Zn2+ superoxide dismutase (SOD1) mutations, which could increase the peroxidase activity of SOD1 and result in the increased production of hydroxyl radicals from hydrogen peroxide, and the formation of neurofilament accumulations. Julien et al. [25] speculated that neurofilaments might have a protective role against the toxic effects induced by SOD1 mutations or other primary insults. Therefore, we hypothesize that the change in NEFL mRNA expression level is involved in the process of adaptive cytoprotection of the variant tissue cells. When malignant transformation happens under cumulative physical and chemical carcinogenic factors, tissue cells change their expression profile to adapt to the new microenvironment and to retain the function of normal tissue cells as much as possible [26]. NEFL may be one of the genes related to cytoprotection. If the expression level of NEFL could not be increased correspondingly in breast cancer carcinogenesis and progression due to LOH or signal pathway in disorder, cancer cells would display a highly malignant phenotype and lead to metastasis of cancer cells and poor prognosis of patients. The cause of the decrease in the NEFL mRNA level in lymph node metastases and in primary cancers with poor clinical outcomes remains unclear. LOH of NEFL may be one of the possible reasons why NEFL mRNA levels are lower in primary tumors with high metastatic potential compared to tumors with low metastatic potential. LOH of NEFL has been reported to be a late event in the progression of colon, prostate, and bladder cancer [27]; however, Yaremko and his colleagues [10] proved that LOH of NEFL did not correlate with tumor size, histologic grade, receptor status, and DNA ploidy, suggesting LOH of NEFL is an early event in breast cancers. This also explained why NEFL mRNA levels were not decreased in tumors with clinical stage III or with larger tumors (>2 cm) comparing to earlier stages or smaller tumors (< = 2 cm). Another possible reason may be due to a single nucleotide polymorphism (SNP) in the promoter of the NEFL gene [28], [29]. Buckland et al. showed that a single A/G sequence variant at −172 in the promoter of the NEFL gene could influence the transcription of NEFL mRNA, with the G allele having 1.7-fold greater activity than the A allele [28], [29]. Another unknown variant of the NEFL gene or a changed signaling pathway may also be involved in the dynamic change in the NEFL mRNA expression level. Kaplan and Meier survival analysis suggests that low NEFL mRNA levels indicate a short DFS for breast cancer patients. The hazard of relapse or distant metastasis within five years in NEFL-low patients was 2.32-fold higher than in NEFL-high patients. Furthermore, when the survival status of patients with different stages of disease progression was analyzed, NEFL mRNA was found to be a prognostic factor to predict DFS of early-stage breast cancer patients. Although both of the sensitivity and specificity of NEFL mRNA in predicting the relapse or distant metastasis within five years were not the highest compared with other clinicopathological variables for overall breast cancer patients, the sensitivity of NEFL mRNA was higher than other factors for patients in clinical stage I/II and negative lymph node metastasis stratifications. In addition, the sensitivity of was closed to the highest (PR) in histological Grade I/II stratification. Based on the systemic therapy guidelines currently in effect, more than 50% of breast cancer patients with early-stage disease (clinical stage I/II, negative lymph node, and histological grade I/II) may not benefit from post-mastectomy chemotherapy or radiotherapy treatment and may potentially suffer from their side effects. NEFL mRNA level, as a potential prognostic factor for early-stage breast cancer, could help oncologists choose individual therapeutic strategies. In this study, NEFL mRNA was found had a low predictive power to predict the DFS of late-stage breast cancer patients. The reason for the failure of NEFL mRNA to predict the DFS of late-stage patients may be due to the fact that cancer cells have highly malignant phenotypes and high metastatic potentials when tumors advance to a late-stage, and the change in expression of cytoprotection-related genes cannot arrest the appearance of metastases. In addition, the small number of late-stage cases used in this study might be another reason that no statistic difference was found between the DFS of late-stage patients with different NEFL mRNA status. In conclusion, NEFL mRNA was expressed in breast malignancies, and a decreased expression of NEFL indicated a poor long-term survival in early-stage breast cancer patients. Thus, NEFL mRNA expression level could be a potential prognosis prediction marker in breast cancer patients.

Materials and Methods

Patients and Follow-up

All of the 180 breast cancer patients who were used in the present study underwent complete dissection of the breast and axillary lymph nodes without preoperative chemotherapy at Tianjin Medical University Cancer Institute and Hospital (TMUCIH), China, between January 2001 and November 2004. After surgery, 165 breast cancer cases were treated with chemotherapy; 102 cases with positive ER status were treated with tamoxifen as a hormone therapy; and 97 cases were treated by radiotherapy. All of the breast cancer patients were followed up until May of 2009. DFS was defined as the time interval from surgery to first local relapse/distant organ metastases (patients with relapse or distant metastasis) or to the last follow-up visit (patients with disease-free survival). Of the 180 breast cancer cases, 174 cases were followed for more than three years (31 cases with relapse or distant metastasis and 143 cases with DFS), and 126 cases were followed for more than five years (43 cases with relapse or distant metastasis and 83 cases with DFS). The median follow-up time was 65 months.

Specimen Characteristics

All the specimens used in the present study, 11 normal breast tissue samples, 180 primary tumors and 14 lymph node metastasis samples, were collected from the 180 breast cancer patients. Tissue samples were snap-frozen in liquid nitrogen and stored at −80°C. All samples were examined by hematoxylin-eosin (H&E) staining, and only the normal tissue samples with 50% or more epithelial cells and tumor samples that consisted of 75% or more cancer cells were selected for real-time RT-PCR. ER expression and PR expression were determined as positive when more than 1% of the nuclei were stained by immunohistochemical staining. HER2 was defined as positive when more than 10% of the membrane was stained by an immunohistochemical assay. The study protocol was approved by the Institutional Review Board and the Research Ethics Committee of TMUCIH and written consent was obtained from all participants.

Real-time RT-PCR Assay

RNA was extracted with TRIZOL reagent (Invitrogen, Gaithersburg, MD, USA) according to the manufacturer's instructions. Then, 5 µg of total RNA was used to perform reverse transcription (RT) for first-strand cDNA synthesis. RNA was denatured for 5 min at 65°C and snap cooled on ice in the presence of 0.5 µg Oligo(dT) and 10 mmol dNTP mix. The sample was then incubated at 4°C for 50 min with First-Strand Buffer, 0.2 µmol DTT, 40 units of RNaseOUT ribonuclease inhibitor and 200 units of SuperScript II in a total volume of 20 µL. The reactions were stopped by incubation at 70°C for 15 min. All of the reagents used for RT were from Invitrogen. Real-time RT-PCR was performed using the Platinum Quantitative PCR SuperMix-UDG System (Invitrogen). We quantified the transcripts of the GAPDH housekeeping gene as a control as previously described [30]. Primers and TaqMan probes for NEFL were as follows: 5′-CCTGGAAATCGAAGCAT-3′, 5′-ATTTCACTCTTTGTGGTCCTC-3′, and 5′-(FAM) ATTTGTTGATCGTGTCCTGCATAGC (TAMRA)-3′. Assays were performed with the ABI 7500 TaqMan system (Applied Biosystems, Foster City, CA, USA). PCR was carried out after incubation at 50°C for 2 min and pre-denaturing at 95°C for 3 min, followed by 40 cycles at 95°C for 30 sec and 62°C for 1 min. The relative quantification was given by the CT values, determined by triplicate reactions for all of the samples for both NEFL and GAPDH. The triplicate CT values of NEFL were averaged, and the CT value of GAPDH was subtracted to obtain ΔCT. The relative expression level of NEFL mRNA was determined as 2−ΔCT.

Quality control

RNA was extracted from cancer tissues taken from 10 breast cancer patients and pooled equally as the quality control RNA. Quality control RNA and Diethylpyrocarbonate (DEPC)-treated water, served as the positive and negative control samples, respectively,were used to perform RT and real-time PCR with each of the different batches of assays. If the expression levels of NEFL or GAPDH in the negative control samples were detectable or the expression level in the positive control RNA was beyond the 95% confidence interval of the mean NEFL or GAPDH expression level of the quality control RNA, the expression levels in that batch of samples were assayed again.

Statistical Analysis

The distribution of NEFL mRNA expression in breast tissues did not accord with normal distribution, therefore, the relationship between NEFL and various clinicopathological variables was analyzed by the chi-square test or the Fisher's exact test, as appropriate. The differences of NEFL mRNA levels between normal breast tissues and paired primary breast cancer samples and between primary cancer samples and paired lymph node metastases were calculated using Wilcoxon signed-rank test. The cut-off value for distinguishing patients with a poor prognosis from patients with a good prognosis was determined by calculating the receiver operating characteristic (ROC) curve and area under curve (AUC). Survival analysis was carried out according to the methods of Kaplan and Meier and log-rank test. Multivariate survival analysis was performed by a backward stepwise Cox proportional hazards regression model. All calculations were performed with the SPSS for Windows statistical software package (SPSS Inc, Chicago, IL, USA).
  30 in total

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Authors:  F Kurimoto; A Gemma; Y Hosoya; M Seike; K Takenaka; K Uematsu; A Yoshimura; M Shibuya; S Kudoh
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Authors: 
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