Background
Breast cancer is the most common cancer in women cancer and the second highest cause of cancer-related death in women in the United States [
1]. In China, breast cancer is also the most commonly diagnosed cancer and accounts for 15% of all new cancers in women [
2]. Breast cancer is a heterogeneous disease composed of four subtypes: luminal A, luminal B, human epidermal growth factor receptor 2 (HER-2)-enriched and triple-negative [
3]. According to current guidelines and consensus, the selection of an appropriate adjuvant therapy regimen is largely based on the subtype and risk recurrence category. The value of prognostic biomarkers and gene-based assays has recently been added into the 8th edition of the primary tumor, lymph node, and metastasis (TNM) classification of the American Joint Commission of Cancer for breast cancer [
4]. Despite the intensive research into the mechanisms of breast cancer performed over the past decades, very few of the identified critical molecules have been adopted for therapeutic or prognostic approaches in clinical practice. Thus, there is an urgent need to identify novel biomarkers that provide additional risk assessment for personalized treatment.
In recent years, studies of cancer metabolism have provided insight into the process of adaptation of cancer cells, which alter their metabolic activity to meet the increased needs for energy and biosynthetic precursors. Enhanced glycolysis, known as the Warburg effect, is observed in many cancers and provides the metabolic basis of cancer cell proliferation [
5]. The Warburg pathway enzyme 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 4 (PFKFB4) is a newly identified key factor that regulate transcriptional reprogramming and functions as the most dominant kinase that regulates cell proliferation [
6]. Several studies identified PFKFB4 as a key molecule in multiple cancers, including breast cancer [
6], prostate cancer [
7] and glioma [
8]. However, our current knowledge about PFKFB4 has largely originated from in vitro studies, and the in vivo relevance of this molecule requires further study. Furthermore, the prognostic value of the PFKFB4 protein in breast cancer has not been investigated.
In this study, we evaluated the prognostic power of PFKFB4 expression in 200 tumor samples from patients with stage I to III breast cancer. We examined the associations between PFKFB4, clinicopathological variables and survival. Our results indicated that elevated PFKFB4 is strongly associated with shorter disease-free survival (DFS) and overall survival (OS) and indicate that PFKFB4 could serve as a novel prognostic factor in breast cancer.
Materials and methods
Patients and specimens
Clinical data and surgical specimens were retrospectively collected from 200 female patients who were diagnosed with stage I to III primary breast cancer at the Department of Breast Surgery in Fudan University Shanghai Cancer Center (FUSCC, Shanghai, China) between January 2004 and January 2008. All specimens in this cohort were histologically confirmed with invasive ductal carcinoma and all participants underwent a mastectomy and axillary lymph node dissection or breast conservation surgery. Treatment decisions, including chemotherapy, radiation therapy, target therapy or endocrine therapy, were performed at the discretion of clinicians following the Chinese Anti-Cancer Association’s guidelines. All patients were regularly followed, with the last update occurring in October 2014. This study was approved by the Ethics Committee of FUSCC, and written informed consent was acquired from all patients.
Data of the clinicopathological variables and expression status of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2) in the surgical specimens were retrospectively collected from the medical database of FUSCC. Since Ki-67 expression status was not available in all cases, we defined breast cancer subtypes as follows: luminal (ER and/or PR positive, HER-2 negative); HER-2-enriched (ER and PR negative, HER-2 positive); and triple-negative (ER negative, PR negative, HER-2 negative).
Tissue microarray preparation
Tissue microarrays (TMAs) were constructed as previously described [
9]. Briefly, breast cancer specimens from the 200 surgical cases described above were fixed using standard protocols. Archived and de-identified formalin-fixed paraffin-embedded (FFPE) samples were then analyzed. After histological examination of the tissue samples by our dedicated pathologist, TMAs were developed by punching two 10-mm-diameter cores out of each tumor at two different sites. The TMAs were prepared using a Quick-Ray tissue arrayer (Unitma Co., Ltd., Seoul, South Korea) at the Department of Pathology in FUSCC. The use of the tissue samples was approved by the Institutional Review Board at FUSCC.
Immunohistochemistry staining and evaluation
As in our previous study [
9,
10], the TMAs were subjected to immunohistochemical staining for PFKFB4 using a two-step protocol (GTVision™ III). PFKFB4 was detected using the rabbit anti-PFKFB4 polyclonal antibody [ab137785] (1:50;Abcam). The negative controls were generated using phosphate-buffered saline instead of primary antibody. Positive controls were established according to the instructions provided with the antibodies. The PFKFB4 staining intensity was rated according to four scores (0 denoting negative; 1, weak; 2, moderate; and 3, strong). The stained TMAs were evaluated independently by two experienced pathologists who were blinded to all clinical data on a case-by-case basis. Because the TMAs represented duplicate samples for each case, the score used in all subsequent analyses was the average across the available scores. The cutoff value for high and low PFKFB4 expression was the median value of the intensity scores.
Statistical analysis
Patient clinicopathological variables were summarized for all participants using standard descriptive statistics. The Pearson χ2 test was performed to compare qualitative variables, and Fisher’s exact test was used when necessary. DFS was defined as the time from the date of primary surgery to the date of recurrence, distant metastasis or death. OS was calculated from the date of primary surgery to the date of death. The follow-up period was defined as the time from surgery to relapse or death (for complete observations) or to the last observation (for censored cases).
Survival analysis was performed using the Kaplan–Meier method and log-rank test was used to test the differences in survival by covariates. Reverse Kaplan–Meier method was used to calculate the median follow-up time. Univariate Cox regression models were fitted to estimate the effect of clinicopathological variables and PFKFB4 at the time-to-event endpoints (DFS and OS events). Multivariate analyses were performed to estimate the risk of variables in which Wald p were smaller than 0.20 in univariate analyses. All statistical analyses were performed using SPSS statistics version 24 (SPSS Inc., Chicago, IL, USA). All reported p values were two-sided, and p < 0.05 was considered statistically significant.
Discussion
Increasing recognition of the active role of cancer metabolism in tumorigenesis has led to the identification of novel markers for prognostic prediction [
11,
12]. Enzymes participating in core metabolic pathways have proven to be essential for the proliferation and survival of cancer cells [
6,
7,
13,
14]. In this study, we evaluated the relationship of the cancer metabolic enzyme PFKFB4 with the risk of recurrence, metastasis and death in operable breast cancer. We demonstrated that elevated PFKFB4 expression from immunohistochemistry analysis is associated with shorter DFS and OS in breast cancer. Our results established that PFKFB4 is an independent prognostic factor in breast cancer.
Dasgupta et al. found that PFKFB4 can phosphorylate steroid receptor coactivator-3 (SRC3) and lead to increased ER co-activation and cell proliferation. The authors examined 80 samples from the Cancer Genome Atlas and demonstrated that breast cancer patients with high SRC3 and
PFKFB4 mRNA expression have unfavorable prognosis [
6]. Using public high-throughput expression data, Ros et al. reported that a high level of
PFKFB4 mRNA predicted reduced survival in patients with breast cancer and non-small cell lung cancer [
15].
PFKFB4 mRNA expression has been proven to be a prognostic marker in non-muscle-invasive bladder cancer [
16]. However, quantification of mRNA expression is not easy to perform in routine clinical settings. In this study, we confirmed the prognostic value of PFKFB4 protein in breast cancer using immunochemistry, which can be easily performed in FFPE samples. To the best of our knowledge, this is the first study supporting the prognostic value of PFKFB4 protein in breast cancer.
PFKFB4 plays an important role in regulating glucose metabolism and directing metabolic pathways required for biosynthesis of macromolecules to maintain cancer cell proliferation [
17]. Several groups independently identified PFKFB4 as a key metabolic enzyme in cancer using high-content screening [
6‐
8]. PFKFB4 is required to maintain the balance of glycolytic activity for energy generation and cellular redox in prostate cancer [
7]. Using an unbiased RNA interference genome-wide screening assay, Dasgupta et al. discovered PFKFB4 as a dominant modulator of SRC3-dependent cancer cell proliferation [
6]. PFKFB4 and SRC-3, an ER co-activator, can hyperactivate ER activity in the presence of estradiol [
6], which may explain the correlation between reduced DFS and high PFKFB4 observed in luminal and ER-positive breast cancer. PFKFB4 and SRC-3 are drivers of the growth of basal-subtype breast cancer [
6]. This may partially explain the prognostic significance of PFKFB4 in triple-negative and ER-negative subgroups. Further study is needed to determine the expression pattern of PFKFB4 and SRC-3 and the activated status of the PFKFB4-SRC-3 axis in breast cancer. Besides, it is also worthy to note the non-metabolic function of PFKFB4 that are relevant in cancer development. Gao et al. reported that PFKFB4 enhances breast cancer migration by induction of hyaluronan production in a p38-dependent manner [
18]. Moreover, PFKFB4 can interact with endothelial tyrosine kinase to modulate chemoresistance of small-cell lung cancer by regulating autophagy [
19].
Recent studies reported PFKFB4 as a potential target in cancer. Silencing of PFKFB4 induced apoptosis in p53-deficient cancer cells and inhibited tumor growth [
15]. A selective PFKFB4 inhibitor, 5-(
n-(8-methoxy-4-quinolyl)amino)pentyl nitrate, suppressed the glycolysis process and proliferation in human cancer cell lines rather non-transformed epithelial cells in vitro, suggesting that targeting PFKFB4 may be a promising therapeutic strategy against breast cancer. Our study revealed that almost half (49.0%, 98/200) of the breast cancer cases in our study had a score 3 (the highest) for PFKFB4 staining, which indicate a large population of breast cancer patients deposit the potential therapeutic target.
This study has some limitations. First, this is a retrospective study, in which we tested the association between PFKFB4 expression with DFS and OS in breast cancer rather than true prediction. Additional study is needed to validate the prognostic value of the novel marker. Second, the number of stage III patients with breast cancer in our cohort was too small (n = 8). Thus, the effectiveness of this potential prognostic marker should be applied to this subgroup with caution. Third, even though the study included subjects with all subtypes, the composition of the cohort was not representative of the general patient population in the real world. Larger cohorts are therefore required before PFKFB4 can be recommended for clinical practice.
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