Email updates

Keep up to date with the latest news and content from BMC Medicine and BioMed Central.

Journal App

google play app store
Open Access Research article

Hypoxia inducible factor 1α gene (HIF-1α) splice variants: potential prognostic biomarkers in breast cancer

Jean-Philippe Dales12*, Nathalie Beaufils3, Monique Silvy4, Christophe Picard4, Vanessa Pauly5, Vincent Pradel5, Christine Formisano-Tréziny1, Pascal Bonnier6, Sophie Giusiano2, Colette Charpin2 and Jean Gabert13

  • * Corresponding author: Jean-Philippe Dales Jdales@ap-hm.fr

  • † Equal contributors

Author Affiliations

1 Plateforme Transcriptome, CRO2, Marseille, France

2 Department of Pathology, Hôpital Nord, Marseille, France

3 Biochemistry and Molecular Biology, Hôpital Nord, Marseille, France

4 Etablissement Français du Sang Alpes Méditerranée, Marseille, France

5 Department of Medical Information, Hôpital Sainte Marguerite, Marseille, France

6 Department of Gynaecologic Oncology, Hôpital de la Conception, Assistance-Publique Hôpitaux de Marseille, Université de la Méditerranée, Marseille, France

For all author emails, please log on.

BMC Medicine 2010, 8:44  doi:10.1186/1741-7015-8-44

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1741-7015/8/44


Received:26 May 2010
Accepted:12 July 2010
Published:12 July 2010

© 2010 Dales et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Hypoxia-inducible factor 1 (HIF-1) is a master transcriptional regulator of genes regulating oxygen homeostasis. The HIF-1 protein is composed of two HIF-1α and HIF-1β/aryl hydrocarbon receptor nuclear translocator (ARNT) subunits. The prognostic relevance of HIF-1α protein overexpression has been shown in breast cancer. The impact of HIF-1α alternative splice variant expression on breast cancer prognosis in terms of metastasis risk is not well known.

Methods

Using real-time quantitative reverse transcription PCR assays, we measured mRNA concentrations of total HIF-1α and 4 variants in breast tissue specimens in a series of 29 normal tissues or benign lesions (normal/benign) and 53 primary carcinomas. In breast cancers HIF-1α splice variant levels were compared to clinicopathological parameters including tumour microvessel density and metastasis-free survival.

Results

HIF-1α isoforms containing a three base pairs TAG insertion between exon 1 and exon 2 (designated HIF-1αTAG) and HIF-1α736 mRNAs were found expressed at higher levels in oestrogen receptor (OR)-negative carcinomas compared to normal/benign tissues (P = 0.009 and P = 0.004 respectively). In breast carcinoma specimens, lymph node status was significantly associated with HIF-1αTAG mRNA levels (P = 0.037). Significant statistical association was found between tumour grade and HIF-1αTAG (P = 0.048), and total HIF-1α (P = 0.048) mRNA levels. HIF-1αTAG mRNA levels were also inversely correlated with both oestrogen and progesterone receptor status (P = 0.005 and P = 0.033 respectively). Univariate analysis showed that high HIF-1αTAG mRNA levels correlated with shortened metastasis free survival (P = 0.01).

Conclusions

Our results show for the first time that mRNA expression of a HIF-1αTAG splice variant reflects a stage of breast cancer progression and is associated with a worse prognosis.

See commentary: http://www.biomedcentral.com/1741-7015/8/45 webcite

Background

Hypoxia-inducible factor 1 (HIF-1) is a ubiquitously expressed master transcriptional regulator of many genes regulating mammalian oxygen homeostasis [1,2]. HIF-1 alters transcription of genes mainly involved in energy metabolism, neovascularisation, survival, internal pH and cell migration, and has become recognised as a strong promoter of tumour growth [3,4]. HIF-1 is a heterodimeric protein composed of two HIF-1α and HIF-1β/aryl hydrocarbon receptor nuclear translocator (ARNT) subunits [5]. These subunits are members of the basic helix-loop-helix (bHLH) transcription factor superfamily containing a PAS [PER (Period Clock) -ARNT-SIM (Single-minded)] domain [2]. The HIF-1α subunit is specific to HIF-1 and is the unique oxygen-regulated subunit that determines HIF-1 activity [6,7] whereas HIF-1β is a common subunit for several transcription factors. In human tumours, HIF-1α protein is overexpressed because of intratumoural hypoxia and genetic alterations affecting key oncogenes and tumour suppressor genes [8,9]. This overexpression correlates with tumour angiogenesis, treatment failure and patient mortality [3].

Our group and others have previously reported that HIF-1α protein overexpression is a marker of poor prognosis in primary breast cancer patients [10,11]. HIF-1α is known to be mainly post-transcriptionally regulated by protein ubiquitination and interaction with the Von Hippel-Lindau tumour suppressor protein, and then degraded by the proteasome. Hypoxia stabilises HIF-1α protein by relaxing its ubiquitin-proteasome degradation [12] and affects subcellular localisation, DNA binding capacity and transcriptional activation function of the HIF-1 complex. HIF-1α protein is composed of 826 amino acids [5]. Its N-terminal region contains the bHLH and the PAS domains, which are essential for DNA binding and dimerisation [13]. Its C-terminal region contains two transactivation domains and a nuclear localisation signal [14]. In the middle section of HIF-1α lies a Pro-Ser-Thr oxygen-dependent degradation domain (ODDD, amino acids 401 to 603), which is responsible for the stability of the HIF-1α protein [12].

Although HIF-1α protein regulation has been well studied, HIF-1α messenger regulation has only recently begun to be documented [15]. HIF-1α is encoded by the HIF1A locus, which is located on human chromosome 14q21-q24 and encodes for 15 exons, resulting in a principal transcript of about 8 kb [16]. Different functional domains of the HIF-1α protein are encoded by separate exons. In addition to the originally described wild type of HIF-1α (HIF-1αWT) [1], eight alternative splice variants of HIF-1α (HIF-1α827, HIF-1α736, HIF-1α557, HIF-1α516, HIF-1α785, HIF-1α417, HIF-1αTE and an isoform with alternative exon 1 (I.2 isoform)) with different activity have been reported in human cell lines [17-23]. All HIF-1α splice variants have been shown to be translated, to dimerise with HIF-1β and to be active in human cells. Only one isoform (HIF-1α736) has been documented in human breast cancer [24]. The aim of this study was to analyse HIF-1α splice variant expression in human breast cancer and to evaluate its clinical relevance in terms of prognosis. In this study we quantified the mRNA levels of 3 isoforms (HIF-1α736, HIF-1α557 and HIF-1α516) in breast specimens of 53 primary cancers and 29 normal tissues or benign lesions by real-time quantitative reverse transcription PCR (RT-qPCR) assays. HIF-1α827 is similar to wild type except for an additional three base pairs TAG insertion at the exon 1 to 2 junction involving a difference of two amino acids upstream of the bHLH domain [17]. HIF-1α736 is also characterised by an additional three base pairs TAG insertion at the exon 1 to 2 junction, and the lack of exon 14, which produces a frame shift and introduces a stop codon in the coding sequence after the Ile735 [17]. HIF-1α557 loses exon 12 and HIF-1α516 lacks exons 11 and 12 [18,19]. HIF-1α557 has been shown to be induced by zinc ions. HIF-1α557 and HIF-1α516 have been shown to function as dominant negative isoforms of HIF-1α in vitro. HIF-1α785 is deprived of exon 11 and was described as being induced in vitro by phorbol-12-myristate-13-acetate [20]. HIF-1α417 isoform is deprived of exon 10 [21]. The HIF-1αTE variant with alternative exon 1 (I.1 isoform) was previously found to be expressed in the testis [22]. For these reasons, both these isoforms were thought to be out of the scope of this study on breast tissues samples. We also developed tools to quantify expression of HIF-1α splice transcripts characterised by insertion of a three base pairs TAG at the exon 1 to 2 junction (which we designated HIF-1αTAG) involving a difference of two amino acids upstream of the bHLH domain (HIF-1α827 and HIF-1α736 isoforms) [17]. The last known isoform was not quantified because it was described in humans after the end of our study [23]. Expression levels of these isoforms were also compared to standard prognostic clinicopathological parameters, microvessel density of tumours and clinical outcome.

Methods

Patients and breast tissue samples

A series of 29 normal tissues or benign lesions (normal/benign) of breast tissue and 53 primary invasive breast carcinomas tissue specimens were selected. All frozen tissues were available in the tumour library of the Department of Pathology (Hôpital Nord, Assitance Publique-Hôpitaux de Marseille, France). Each patient gave informed consent and the study was approved by our institutional review board. Within 15 min of excision fresh tissue samples were frozen in liquid nitrogen by the pathologist (freezing delay shorter than 15 min). All tissue specimens were then stored at -80°C and were never thawed (freezers under temperature control 24 h a day). Specimens of normal breast tissues were obtained from adjacent tumour-free tissue taken from 12 breast cancer patients. Benign lesions were obtained from women undergoing surgery for fibroadenoma (n = 13) or adenosis (n = 4). Normal/benign tissues were obtained from 29 patients aged from 12 to 79 years (mean 44.7 years, SD 16.9). Malignant tumour specimens represented 53 early invasive breast adenocarcinomas diagnosed between 9 September 1989 and 1 May 1996. Tumour tissue specimens were obtained from patients aged from 30 to 84 years (mean 54 years, SD 11.4). Surgery was in all cases the first treatment. The patients underwent axillary node excision combined with wide local excision with margin clearance or mastectomy according to current European recommendations in the department of Oncologic Gynaecology in Hôpital de la Conception, Marseille. For this first step of treatment, patient management was handled by the same group of surgeons (PB). Likewise, radiotherapy, chemotherapy and hormone therapy were applied according to criteria currently used at that time. Each of the respective areas was identified microscopically and dissected immediately upon receipt of the breast specimen by the pathologist. The tumour content of each specimen was verified by histological examination of frozen section by haematoxylin staining. Histological examination of surgical specimens was also performed on paraffin embedded sections stained with haematoxylin, eosin and saffronin. Tumour grading, initially assessed by using the grading methods of Bloom and Richardson [25], was re-evaluated according to Elston and Ellis [26]. Duration of follow-up ranged from 9 to 162 months (mean 80 months, SD 43). For statistical purposes, we selected approximately equal numbers of long (n = 31) and short metastasis-free survival patients (n = 22).

Clinical and pathological parameters

Lymph node status, tumour size, peritumoural vascular invasion, histological type and histological grade of tumours were obtained from pathological reports. The oestrogen receptor (OR) and progesterone receptor (PgR) status was determined by immunohistochemistry on paraffin-embedded sections as previously described [27,28].

Tumour microvascular density

Immunodetection studies were performed on frozen sections 5 ?m thick and automated immunoperoxidase procedures as previously reported [29].

RNA extraction and reverse transcription

Homogenising Trizol procedures have been performed in accordance with current protocols. Frozen tissue (25 to 50 mg) was homogenised in 0.5 ml Trizol reagent (Life Technologies, Carlsbad, California) with lysing matrix D in a FastPrep machine (Q-BIOgene, MP Biomedicals, Illkirch, France) for six cycles of 30 s at a setting of 6 m/s as recommended by the manufacturer. Chloroform (100 μl) was added to each sample, which were mixed vigorously for 15 s and incubated for 3 min at room temperature. Phases were separated by centrifugation (12,000 g for 15 min at 4°C) and the aqueous phase was recovered. Isopropanol (250 μl) was added to each of the samples, which were then mixed by inversion and incubated for 10 min at room temperature. Total RNA was pelleted by centrifugation (12,000 g for 10 min at 4°C), washed with 1 ml of ice-cold 75% ethanol, air dried and resuspended in 15 μl Rnase-free distilled water. Then, 1 μg of RNA was reverse transcribed with 200 U MMLV Reverse Transcriptase following the Europe Against Cancer (EAC) protocol [30].

Generation of standard plasmids

pcDNA3 plasmids containing HIF-1α827 and HIF-1α736 sequences with the three base pairs TAG insertion were kindly provided by J Pouyssegur (Institut de Signalisation, Biologie du Développement et Cancer, Centre Lacassagne, Nice, France). For other splice variants, cDNA from human embryonic kidney (HEK)293 cells was amplified using the following primers, respectively localised in exons 1 and 2: forward, 5'-CCGGCGGCGCGAACGACAAG-3', reverse, 5'-TGCGAACTCACATTATGTGG-3', or primers localised in exons 10 and 14, respectively: forward, 5'-TGACCCTGCACTCAATCAAG-3', reverse, 5'-AGTAGCTGCATGTACGTCTG-3'. Conditions for PCR amplification were: 10 min denaturation at 95°C followed by 35 cycles of 30 s at 95°C, 1 min at 55°C, 1 min at 72°C, and the last elongation at 72°C for 10 min. If necessary, DNA bands of interest were isolated and purified from 2% agarose gel and cloned into the pCRII TOPO vector (TOPO-TA cloning kit, Invitrogen, Life Technologies, Carlsbad, California) according to the manufacturers. Plasmids were purified (Nucleospin plasmid, Macherey Nagel, Hoerdt, France) and the cloned inserts were sequenced. Serial dilutions were prepared in Escherichia coli rRNA (Roche Diagnostics, Meylan, France) to generate RT-qPCR standard curves (PCT international application no. 02/00937 of 15 March 2002, in the name of Université de la Méditerranée) according to the EAC strategy [30].

Design

mRNA sequences of four spliced variants (HIF-1αTAG, HIF-1α736, HIF-1α557 and HIF-1α516) were constructed using the human HIF-1α transcript sequence NM_001530 as a reference. Primer and probe sets were designed using the Primer Express software (Applied Biosystems, Courtaboeuf, France) and chosen based on their exon-exon junction location (Figure 1). HIF-1α736, HIF-1α557 and HIF-1α516 splice variant specific TaqMan assays, and an assay specific to a common region present in all known variants and located at exons 5 and 6, were designed. Specific probes and primers on adjacent exons were also designed to detect HIF-1α transcripts containing a three base pairs TAG insertion between exon 1 and exon 2 (which we designated HIF-1αTAG). For this variant, primers and probes were designed to detect intron length between exons rather than exon-exon junctions. The length of introns between these exons on DNA is long enough to avoid DNA amplification.

thumbnailFigure 1. Position of primers and oligonucleotide probes designed to amplify hypoxia inducible factor 1α (HIF-1α) mRNA splice variants. The diagram illustrates the combination of primers and probes used to detect mRNA of four alternative spliced isoforms of HIF-1α. Boxes represent exons designated by 1 to 15. Primers are indicated by solid arrowhead and probe by thick solid lines. Wild-type HIF-1α (HIF-1αwt) mRNA consists of 15 exons and 14 introns. Variants reported here are generated by a TAG insertion between exon 1 and exon 2 (HIF-1α827 and HIF-1α736), exon 13 to 15 alternative splicing (HIF-1α736), exon 11 to 13 alternative splicing (HIF-1α557) and exon 10 to 13 alternative splicing (HIF-1α516). Primers on exons 5 and 6 (asterisk) are suitable for quantification of all HIF-1α transcripts including HIF-1αwt as well as each isoform. Primers pairs on exons 13 and 15, 11 and 13, 10 and 13 are suitable for specific detection of HIF-1α736, HIF-1α557 and HIF-1α516 variants respectively. Note that primers on exons 1 and 2 allow mRNA detection of both isoforms HIF-1α827 and HIF-1α736.

Optimisation of RT-qPCR

Amplification and quantification of HIF-1α variants was performed on a MX3000P system (Stratagene, Agilent Technologies, Santa Clara, California). Amplifications were performed on specific plasmid serial dilutions of each variant in a total volume of 25 μl containing 1 × TaqMan universal PCR MasterMix (Applied Biosystems, Courtaboeuf, France) and both forward and reverse primers and probes. Different ranges of primer concentrations were tested and optimised for each amplicon to obtain the most specific, sensitive and efficient RT-PCR amplification. Selected primer and probe concentrations are shown in Table 1. Optimised RT-qPCR reaction conditions for gene amplification were as follows: 50°C for 2 min, denaturation for 10 min at 95°C followed by 50 cycles of 30 s at 95°C, 1 min annealing and extension at 60°C for all transcripts except for HIF-1αTAG with 1 min at 62°C. For validation of assays specificity, the primers and probes used to detect each splice variant were tested by RT-PCR with 1 μg RNA of the HEK293 cell line (DSMZ), 1 μg genomic DNA of peripheral blood mononuclear cells (PBMCs) and standards (106 copies of plasmids) specific for another splice variant. No template control (NTC) was also performed. RT-qPCR products were analysed by Agilent 2100 Electrophoresis Bioanalyzer (Agilent Technologies, Santa Clara, California). Serial dilutions of specific standard plasmids were used to validate sensitivity, linearity and detection limits of RT-qPCR assays. Intrareproducibility and inter-reproducibility assays were performed by four RT-qPCR experiments, each time in triplicate.

Table 1. Details of oligonucleotide sequences of primers and probes used to quantify hypoxia inducible factor 1α (HIF-1α) mRNA splice variants by real-time quantitative reverse transcription PCR assays

RT-qPCR assays

Amplifications were performed with 5 μl of cDNA of each sample using RT-qPCR optimised conditions as previously described. mRNA from HEK293 cells was used as positive control throughout the study. Standard (106 copies of plasmid) specifics of another splice variant were amplified as negative control throughout the study and NTC was performed. Standard curves were generated by serial dilutions of HIF-1α splice variant plasmids ranging from 1 to 106 copies and used for calculation of copy numbers (CN) for each transcript. Transcripts of the gene coding for the TATA box-binding protein (TPB) were also quantified as endogenous gene controls, and each sample was normalised on the basis of its TBP content as previously described [31]. All experiments were carried out with duplicates for each data point. For each experiment sample, the mRNA copy number of HIF-1α gene (CNHIF-1α) and endogenous reference TBP gene (CNTBP) were quantified from standard curves. Final HIF-1α mRNA concentrations were expressed in normalised copy numbers (NCNHIF-1α), as follows: NCNHIF-1α = CNHIF-1α/CNTBP.

Statistical analysis

Differences among groups of breast tissue specimens (normal/benign tissues vs carcinomas) in terms of their HIF-1α mRNA levels were assessed using Kruskal-Wallis and Mann-Whitney tests with Bonferroni correction. Since levels of expression in breast cancer specimens showed non-Gaussian distribution, non-parametric tests were used for the analysis of correlation with clinicopathological parameters. Metastasis-free survival (MFS) time, defined as the time from surgery until diagnosis of metastasis, was used as a follow-up endpoint. Regression models (univariate and multivariate) were used to compare survival and identify predictors of survival. All preoperative predictors (clinicopathological and biological parameters) were included in the analysis. The predictors with P value < 0.20 in the univariate model were tested in the multivariate regression model. Then backward conditional method was used for variable selection by the Cox multivariate regression model. Finally, variables with adjusted P values < 0.05 were kept into the final model. All statistical analyses were performed with SPSS V.13.0.1 software (SPSS, Chicago, IL, USA).

Results

Clinicopathological parameters

Tumour characteristics are summarised in Table 2. Tumours corresponded to ductal carcinomas (n = 41) and lobular carcinomas (n = 12). Tumours were grade 1 in 9 cases, grade 2 in 26 cases and grade 3 in 17 cases. A mean of 16.9 (SD ± 5.1) lymph nodes were found in axillary node excision, and 22 patients were node positive. All patients underwent axillary node excision combined with wide local excision with margins clearance or mastectomy in the same department. Treatment post surgery consisted of radiotherapy, chemotherapy and hormone therapy performed by the same group of oncologists. Duration of follow-up ranged from 9 to 162 months. The 2004 records showed that among 53 patients, 22 (41.5%) patients relapsed, among whom 18 died.

Table 2. Distribution of clinical and histopathological characteristics of breast cancer patients

Optimisation and validation of RT-PCR assays

Primers and probes sets for HIF-1α variants were tested using RT-qPCR on the HEK293 RNA and specific standard plasmids. Primer concentration optimisation assays were carried out to determine the optimal concentrations for each primer and probe set. To test the specificity and crossreaction of the primers used for RT-qPCR, experiments were performed using genomic DNA, standard plasmids specific of another splice variant, and nNTC. No amplification was observed with genomic DNA of PBMCs, specific standard plasmids of other splice variants and NTC. Serial dilutions of HIF-1α variants specific standard plasmid were used to generate a standard curve to assess the intra-assay and interassay reproducibility and sensitivity. For each variant, excellent reproducibility and linearity of standard curves were found. All runs exhibited amplification slopes between -3.31 and -3.55, which correspond to efficiencies higher than 92% and coefficients of correlation between 0.993 and 1. The assays sensitivity was found at 10 copies for all variants. We did not succeed in quantifying the HIF-1α417 isoform.

Differential expression of HIF-1α splice variants in normal/benign and malignant breast tissues

Expression levels of HIF-1α mRNAs were determined in each of the 82 samples of breast tissue. HIF-1α splice variants were detected in every sample of normal/benign and malignant breast tissues at varying levels. HIF-1αTAG mRNA levels were higher than the other HIF-1α splice variants in the majority of breast tissues, and low levels were only found for HIF-1α736, HIF-1α516 and HIF-1α557 isoforms (Figure 2). HIF-1αTAG mRNAs were expressed at similar levels to the total HIF-1α expression suggesting that unknown isoforms devoid of exons 5 and 6 may contain the three base pairs TAG insertion. Splice variants HIF-1α736 and HIF-1α516 mRNAs were expressed 100-fold lower than HIF-1αTAG and variant HIF-1α557 mRNA was expressed at levels 1,000-fold lower than HIF-1αTAG. Expression levels of HIF-1α516 and HIF-1α557 mRNA that were very low (mean normalised copy numbers < 0.1) were not included in statistical analyses. There was no significant statistical difference in the total HIF-1α expression between normal/benign and malignant breast tissues. HIF-1αTAG mRNAs were also expressed at similar level between the two categories of tissues. HIF-1α736 mRNAs showed a link with malignant phenotype but did not reach statistical significance (P = 0.053). Interestingly, HIF-1αTAG and HIF-1α736 mRNAs were found to be expressed at higher levels in OR-negative carcinomas compared to normal/benign tissues (P = 0.009 and P = 0.004 respectively) (Figure 3). HIF-1αTAG mRNAs were also higher in OR-negative carcinomas compared to OR-positive ones (P = 0.005).

thumbnailFigure 2. Distribution of hypoxia inducible factor 1α (HIF-1α) mRNA levels in 82 breast tissues determined by real-time quantitative reverse transcription PCR assay. HIF-1α mRNA levels were expressed in normalised copy numbers (NCN) on the basis of TATA box-binding protein (TPB) gene content of the tissues as described in the Methods section. Patients grouped according to histological type of tissues (x axis). HIF-1α mRNA levels (y axis) were represented according to these different groups of patients. Results were plotted on a logarithmic scale. HIF-1α splice variants were detectable in all samples at varying levels. Splice variant HIF-1α736 and HIF-1α516 mRNAs were expressed at levels 100-fold lower than HIF-1αTAG. Variant HIF-1α557 mRNAs that were expressed at levels 1,000-fold lower than HIF-1αTAG are not shown.

thumbnailFigure 3. Distribution of hypoxia inducible factor 1α (HIF-1α)TAG and HIF-1α736 mRNA levels in 82 breast tissues determined by real-time quantitative reverse transcription PCR assay. HIF-1α mRNA levels were expressed in normalised copy numbers (NCN) on the basis of TATA box-binding protein (TPB) gene content of the tissues as described in the Methods section. Patients grouped according to histological type of tissues (x axis). HIF-1αTAG and HIF-1α736 mRNAs were expressed at higher levels in oestrogen receptor (OR)-negative carcinomas compared to normal/benign tissues (P = 0.009 and P = 0.004 respectively). HIF-1αTAG mRNAs were also higher in OR-negative carcinomas compared to OR-positive ones (P = 0.005).

HIF-1α splice variants expression correlates with prognostic clinicopathological parameters of breast cancer

Levels of each HIF-1α variant mRNA were determined in tumour samples from 53 patients with breast cancer and were compared with lymph node status, tumour size, tumour grade, peritumoural vascular invasion, OR and PgR status. They were also compared with microvessel density of tumours (Table 3). Lymph node status was significantly associated with HIF-1αTAG mRNA levels (P = 0.037). Statistically significant association was found between tumour grade and total HIF-1α (P = 0.048) or HIF-1αTAG (P = 0.048). Peritumoural vascular invasion correlated with total HIF-1α (P = 0.028). Interestingly HIF-1αTAG mRNA levels inversely correlated with both OR and PgR status. No significant association was found between any of the HIF-1α mRNA levels and tumour size or microvessel density.

Table 3. Relationship between the hypoxia inducible factor 1α (HIF-1α) splice variant's expression levels (normalised copy numbers) and clinicopathological factors or microvessel density in tumour tissue specimens from 53 breast cancer patients

Expression of HIF-1αTAG splice variant correlates with patient survival

The strength of association between clinicopathological tumour characteristics (lymph node status, tumour size, tumour grade, peritumoural invasion, OR and PgR status, tumour microvessel density) and expression levels of HIF-1α mRNAs with metastasis-free survival is shown in Table 4. Lymph node status (P = 0.003), OR status (P = 0.021), PgR status (P = 0.005) and HIF-1αTAG mRNA levels (P = 0.01) were found to be significantly predictive of metastasis free survival. HIF-1αTAG mRNAs were expressed at varying levels. In our series, we used the median value (9.95) of these levels as a cut off to define two groups of patients (the group with mRNA levels higher than 9.95 was considered as a high level of expression and the group with mRNA levels lower than 9.95 was considered as a low level of expression) to evaluate their association with metastasis survival. Breast cancer patients with high expression levels of HIF-1αTAG mRNA had a significantly higher risk of relapse (Figure 4). Expression levels of the other HIF-1α transcripts were not associated with prognosis (not shown). Multivariate Cox analysis identified lymph node status (P = 0.005) and PgR status (P = 0.012) as independent predictors of metastasis free survival. HIF-1αTAG mRNA levels did not remain a significant independent prognostic variable.

Table 4. Univariate and multivariate (backward conditional selection) Cox regression analysis of metastasis-free survival (MFS) in breast cancer patients considering clinicopathological characteristics, tumour microvessel density and hypoxia inducible factor 1α (HIF-1α)TAG mRNA levels

thumbnailFigure 4. Kaplan-Meier plot for breast cancer patients illustrating metastasis-free survival according to hypoxia inducible factor 1α (HIF-1α)TAG mRNA levels in breast cancer patients (n = 53). Patients with high expression levels of HIF-1αTAG mRNA (median cut-off = 9.95) had a significantly higher risk of relapse (P = 0.01).

Discussion

Several isoforms of HIF-1α resulting from alternative splicing have been described in various human tumour cell lines or tissues. Only one isoform (HIF-1α736) has been documented in human breast cancer [24]. Moreover, only a few studies have been performed to link HIF-1α mRNA expression and tumour-specific parameters [32,33]. Specific antibodies allowing HIF-1α splice variant detection at the protein level are not currently available. We used a real-time quantitative reverse transcription PCR assay to measure mRNA expression levels of 4 alternatively spliced transcripts of HIF-1α in breast specimens of 53 primary cancers and 29 normal tissues or benign lesions.

Interestingly, this work shows for the first time higher expression levels of two HIF-1α splice variants (HIF-1αTAG and HIF-1α736) in OR-negative carcinomas compared to normal/benign tissues. We also investigated the prognostic value of HIF-1α transcript expression levels in breast cancer and found a significant relationship between either clinicopathological characteristics or patient metastasis-free survival. First, we found that HIF-1αTAG mRNAs levels were substantially higher in high grade and steroid hormone receptor-negative tumours. The second and most striking observation was that HIF-1αTAG mRNA levels were indicative of shorter metastasis-free survival, and that this correlated with lymph node status. Contrary to the Cayre et al. report [24], we did not find significant correlation between total HIF-1α mRNA expression and lymph node status but we observed significant association with tumour grade. This could be because our series was smaller than series of Cayre et al. or because the technology used in our study was more sensitive. In our series, total HIF-1α mRNA expression negatively correlated with OR status. Similar to Cayre et al. we did not find any correlation between total HIF-1α mRNA expression and outcome. Our results showing that HIF-1α736 mRNA expression does not correlate with clinicopathological characteristics of tumours also concur with earlier findings of the same group [24]. In this study, effect of adjuvant (none, chemotherapy or hormone) treatment on survival and interactions with expression levels of HIF-1α splice variants were not checked because of the limited number of patients in each subgroup. Further experiments in a larger series are required to answer this question.

Alternative splicing is known to play an important role in gene expression regulation by modulating the functional properties of transcription factors [34]. In this regard, alternative splicing can modify DNA-binding properties of transcription factors [35], introduce or eliminate activating domains or increase the in vivo stability of a given isoform [36]. Moreover, the abundance of specific isoforms is likely to result from differential expression, RNA stability and selective splicing process leading to an increase of some mRNA species. Recent evidence indicates that in several cancers the ratio of splice variants is dramatically altered and that differential expression of alternatively spliced isoforms in cancer patients can have severe implications for clinical outcome [37]. Remarkably, statistical association has previously been reported between HIF-1β splicing variant expression, oestrogen receptors and breast cancer survival [38]. It should be noted that the primers designed on exons 1 and 2 in our study allowed quantification of the HIF-1αTAG sequence present in both HIF-1α827 and HIF-1α736 splice variants [17]. The HIF-1αTAG transcript is characterised by insertion of a three base pairs TAG insertion that may be generated by the use of two potential splice acceptor dinucleotides (AG) of intron 1 at a splice junction site as previously described [39,1]. This splicing results in the replacement of Lys12 by Asn12 and the addition of Arg13 residue located upstream from the bHLH domain of the protein. This replacement may modify the DNA binding affinity of the protein complex as previously shown for Arg14 and Arg15 residues in aryl hydrocarbon receptor (AHR)/aryl hydrocarbon receptor nuclear translocator (ARNT) heterodimer [40]. Further biochemical and structural studies are required for a better understanding of the functional properties of this variant.

Conclusions

To our knowledge, our results suggest for the first time that at least one HIF-1α splice α variant may be a marker for the advanced clinical and oestrogen-resistant stage of breast cancer. Based on their correlation with survival, HIF-1αTAG mRNA levels may be a potential useful prognostic indicator whose value should be further validated in prospective studies.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

NB, MS and CP carried out the molecular genetic studies, participated in the sequence alignment and drafted the manuscript. CF participated in the sequence alignment. CC, SG analysed the immunohistochemistry results. VP and VP performed the statistical analysis. J-PD and JG conceived of the study, and participated in its design and coordination. All authors read and approved the final manuscript.

Acknowledgements

This work was supported by grants from Institut National du Cancer (ACI2004, PL2006). We are grateful to Jacques Pouyssegur for his generous gifts of plasmids and discussion. Claudine Andonian from the department of Pathology is also acknowledged for her excellent work with collecting and archiving the breast tumour samples.

References

  1. Iyer NV, Leung SW, Semenza GL: The human hypoxia-inducible factor 1α gene: HIF1A structure and evolutionary conservation.

    Genomics 1998, 52:159-165. PubMed Abstract | Publisher Full Text OpenURL

  2. Wang GL, Jiang BH, Rue EA, Semenza GL: Hypoxia-inducible factor 1 is a basic-helix-loop-helix-PAS heterodimer regulated by cellular O2 tension.

    Proc Natl Acad Sci USA 1995, 92:5510-5514. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  3. Pouysségur J, Dayan F, Mazure NM: Hypoxia signalling in cancer and approaches to enforce tumour regression.

    Nature 2006, 441:437-443. PubMed Abstract | Publisher Full Text OpenURL

  4. Ryan HE, Poloni M, McNulty W, Elson D, Gassmann M, Arbeit JM, Johnson RS: Hypoxia-inducible factor-1α is a positive factor in solid tumor growth.

    Cancer Res 2000, 60:4010-4015. PubMed Abstract | Publisher Full Text OpenURL

  5. Wang GL, Semenza GL: Purification and characterization of hypoxia-inducible factor 1.

    J Biol Chem 1995, 270:1230-1237. PubMed Abstract | Publisher Full Text OpenURL

  6. Jiang BH, Semenza GL, Bauer C, Marti HH: Hypoxia-inducible factor 1 levels vary exponentially over a physiologically relevant range of O2 tension.

    Am J Physiol 1996, 271:C1172-1180. PubMed Abstract | Publisher Full Text OpenURL

  7. Huang LE, Arany Z, Livingston DM, Bunn HF: Activation of hypoxia-inducible transcription factor depends primarily upon redox-sensitive stabilization of its α subunit.

    J Biol Chem 1996, 271:32253-32259. PubMed Abstract | Publisher Full Text OpenURL

  8. Semenza GL: HIF-1 and tumor progression: pathophysiology and therapeutics.

    Trends Mol Med 2002, 8:S62-67. PubMed Abstract | Publisher Full Text OpenURL

  9. Zhong H, De Marzo AM, Laughner E, Lim M, Hilton DA, Zagzag D, Buechler P, Isaacs WB, Semenza GL, Simons JW: Overexpression of hypoxia-inducible factor 1α in common human cancers and their metastases.

    Cancer Res 1999, 59:5830-5835. PubMed Abstract | Publisher Full Text OpenURL

  10. Dales JP, Garcia S, Meunier-Carpentier S, Andrac-Meyer L, Haddad O, Lavaut MN, Allasia C, Bonnier P, Charpin C: Overexpression of hypoxia-inducible factor HIF-1α predicts early relapse in breast cancer: retrospective study in a series of 745 patients.

    Int J Cancer 2005, 116:734-739. PubMed Abstract | Publisher Full Text OpenURL

  11. Schindl M, Schoppmann SF, Samonigg H, Hausmaninger H, Kwasny W, Gnant M, Jakesz R, Kubista E, Birner P, Oberhuber G: Overexpression of hypoxia-inducible factor 1α is associated with an unfavorable prognosis in lymph node-positive breast cancer.

    Clin Cancer Res 2002, 8:1831-1837. PubMed Abstract | Publisher Full Text OpenURL

  12. Huang LE, Gu J, Schau M, Bunn HF: Regulation of hypoxia-inducible factor 1α is mediated by an O2-dependent degradation domain via the ubiquitin-proteasome pathway.

    Proc Natl Acad Sci USA 1998, 95:7987-7992. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  13. Jiang BH, Rue E, Wang GL, Roe R, Semenza GL: Dimerization, DNA binding, and transactivation properties of hypoxia-inducible factor 1.

    J Biol Chem 1996, 271:17771-17778. PubMed Abstract | Publisher Full Text OpenURL

  14. Jiang BH, Zheng JZ, Leung SW, Roe R, Semenza GL: Transactivation and inhibitory domains of hypoxia-inducible factor 1α. Modulation of transcriptional activity by oxygen tension.

    J Biol Chem 1997, 272:19253-19260. PubMed Abstract | Publisher Full Text OpenURL

  15. Pagé EL, Robitaille GA, Pouysségur J, Richard DE: Induction of hypoxia-inducible factor-1α by transcriptional and translational mechanisms.

    J Biol Chem 2002, 277:48403-48409. PubMed Abstract | Publisher Full Text OpenURL

  16. Semenza GL, Rue EA, Iyer NV, Pang MG, Kearns WG: Assignment of the hypoxia-inducible factor 1α gene to a region of conserved synteny on mouse chromosome 12 and human chromosome 14q.

    Genomics 1996, 34:437-439. PubMed Abstract | Publisher Full Text OpenURL

  17. Gothié E, Richard DE, Berra E, Pagès G, Pouysségur J: Identification of alternative spliced variants of human hypoxia-inducible factor-1α.

    J Biol Chem 2000, 275:6922-6927. PubMed Abstract | Publisher Full Text OpenURL

  18. Chun YS, Choi E, Yeo EJ, Lee JH, Kim MS, Park JW: A new HIF-1 α variant induced by zinc ion suppresses HIF-1-mediated hypoxic responses.

    J Cell Sci 2001, 114:4051-4061. PubMed Abstract | Publisher Full Text OpenURL

  19. Chun YS, Choi E, Kim TY, Kim MS, Park JW: A dominant-negative isoform lacking exons 11 and 12 of the human hypoxia-inducible factor-1α gene.

    Biochem J 2002, 362:71-79. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  20. Chun YS, Lee KH, Choi E, Bae SY, Yeo EJ, Huang LE, Kim MS, Park JW: Phorbol ester stimulates the nonhypoxic induction of a novel hypoxia-inducible factor 1α isoform: implications for tumor promotion.

    Cancer Res 2003, 63:8700-8707. PubMed Abstract | Publisher Full Text OpenURL

  21. Lee KH, Park JW, Chun YS: Non-hypoxic transcriptional activation of the aryl hydrocarbon receptor nuclear translocator in concert with a novel hypoxia-inducible factor-1α isoform.

    Nucleic Acids Res 2004, 32:5499-5511. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  22. Depping R, Hägele S, Wagner KF, Wiesner RJ, Camenisch G, Wenger RH, Katschinski DM: A dominant-negative isoform of hypoxia-inducible factor-1 α specifically expressed in human testis.

    Biol Reprod 2004, 71:331-339. PubMed Abstract | Publisher Full Text OpenURL

  23. Lukashev D, Sitkovsky M: Preferential expression of the novel alternative isoform I.3 of hypoxia-inducible factor 1α in activated human T lymphocytes.

    Hum Immunol 2008, 69:421-425. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  24. Cayre A, Rossignol F, Clottes E, Penault-Llorca F: aHIF but not HIF-1α transcript is a poor prognostic marker in human breast cancer.

    Breast Cancer Res 2003, 5:R223-230. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  25. Bloom HJ, Richardson WW: Histological grading and prognosis in breast cancer; a study of 1409 cases of which 359 have been followed for 15 years.

    Br J Cancer 1957, 11:359-377. PubMed Abstract | PubMed Central Full Text OpenURL

  26. Elston CW, Ellis IO: Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up.

    Histopathology 1991, 19:403-410. PubMed Abstract | Publisher Full Text OpenURL

  27. Charpin C, Martin PM, De Victor B, Lavaut MN, Habib MC, Andrac L, Toga M: Multiparametric study (SAMBA 200) of estrogen receptor immunocytochemical assay in 400 human breast carcinomas: analysis of estrogen receptor distribution heterogeneity in tissues and correlations with dextran coated charcoal assays and morphological data.

    Cancer Res 1988, 48:1578-1586. PubMed Abstract | Publisher Full Text OpenURL

  28. Charpin C, Jacquemier J, Andrac L, Vacheret H, Habib MC, Devictor B, Lavaut MN, Toga M: Multiparametric analysis (SAMBA 200) of the progesterone receptor immunocytochemical assay in nonmalignant and malignant breast disorders.

    Am J Pathol 1988, 132:199-211. PubMed Abstract | PubMed Central Full Text OpenURL

  29. Dales JP, Garcia S, Andrac L, Carpentier S, Ramuz O, Lavaut MN, Allasia C, Bonnier P, Charpin C: Prognostic significance of angiogenesis evaluated by CD105 expression compared to CD31 in 905 breast carcinomas: correlation with long-term patient outcome.

    Int J Oncol 2004, 24:1197-1204. PubMed Abstract OpenURL

  30. Gabert J, Beillard E, van der Velden VH, Bi W, Grimwade D, Pallisgaard N, Barbany G, Cazzaniga G, Cayuela JM, Cavé H, Pane F, Aerts JL, De Micheli D, Thirion X, Pradel V, González M, Viehmann S, Malec M, Saglio G, van Dongen JJ: Standardization and quality control studies of 'real-time' quantitative reverse transcriptase polymerase chain reaction of fusion gene transcripts for residual disease detection in leukemia - a Europe Against Cancer program.

    Leukemia 2003, 17:2318-2357. PubMed Abstract | Publisher Full Text OpenURL

  31. Bièche I, Laurendeau I, Tozlu S, Olivi M, Vidaud D, Lidereau R, Vidaud M: Quantitation of MYC gene expression in sporadic breast tumors with a real-time reverse transcription-PCR assay.

    Cancer Res 1999, 59:2759-2765. PubMed Abstract | Publisher Full Text OpenURL

  32. Nakayama K, Kanzaki A, Hata K, Katabuchi H, Okamura H, Miyazaki K, Fukumoto M, Takebayashi Y: Hypoxia-inducible factor 1α (HIF-1 α) gene expression in human ovarian carcinoma.

    Cancer Lett 2002, 176:215-223. PubMed Abstract | Publisher Full Text OpenURL

  33. Søndergaard KL, Hilton DA, Penney M, Ollerenshaw M, Demaine AG: Expression of hypoxia-inducible factor 1α in tumors of patients with glioblastoma.

    Neuropathol Appl Neurobiol 2002, 28:210-217. PubMed Abstract | Publisher Full Text OpenURL

  34. López AJ: Developmental role of transcription factor isoforms generated by alternative splicing.

    Dev Biol 1995, 172:396-411. PubMed Abstract | Publisher Full Text OpenURL

  35. Kozmik Z, Czerny T, Busslinger M: Alternatively spliced insertions in the paired domain restrict the DNA sequence specificity of Pax6 and Pax8.

    EMBO J 1997, 16:6793-6803. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  36. Foulkes NS, Mellström B, Benusiglio E, Sassone-Corsi P: Developmental switch of CREM function during spermatogenesis: from antagonist to activator.

    Nature 1992, 355:80-84. PubMed Abstract | Publisher Full Text OpenURL

  37. Venables JP: Unbalanced alternative splicing and its significance in cancer.

    Bioessays 2006, 28:378-386. PubMed Abstract | Publisher Full Text OpenURL

  38. Qin C, Wilson C, Blancher C, Taylor M, Safe S, Harris AL: Association of ARNT splice variants with estrogen receptor-negative breast cancer, poor induction of vascular endothelial growth factor under hypoxia, and poor prognosis.

    Clin Cancer Res 2001, 7:818-823. PubMed Abstract | Publisher Full Text OpenURL

  39. Wenger RH, Rolfs A, Spielmann P, Zimmermann DR, Gassmann M: Mouse hypoxia-inducible factor-1α is encoded by two different mRNA isoforms: expression from a tissue-specific and a housekeeping-type promoter.

    Blood 1998, 91:3471-3480. PubMed Abstract | Publisher Full Text OpenURL

  40. Wache SC, Hoagland EM, Zeigler G, Swanson HI: Role of arginine residues 14 and 15 in dictating DNA binding stability and transactivation of the aryl hydrocarbon receptor/aryl hydrocarbon receptor nuclear translocator heterodimer.

    Gene Expr 2005, 12:231-243. PubMed Abstract | Publisher Full Text OpenURL

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1741-7015/8/44/prepub