Skip to main content
Download PDF

Necrosis related HIF-1α expression predicts prognosis in patients with endometrioid endometrial carcinoma

BMC Cancer volume 10, Article number: 307 (2010) Cite this article

Abstract

Background

Hypoxia inducible factor 1α (HIF-1α) plays an essential role in the adaptive response of cells to hypoxia and is associated with aggressive tumour behaviour. We have shown p27kip1, which is generally reduced in endometrial cancer, to be re-expressed in hypoxic regions. This possibly contributes to survival of cancer cells. The aim of this study was to evaluate the prognostic value of HIF-1α and p27kip expression in patients with endometrioid endometrial cancer.

Methods

Expression levels of HIF-1α, CAIX, Glut-1, and p27kip1 were analyzed by immunohistochemistry. Percentage of positive cells, staining pattern (perinecrotic, diffuse, or mixed) and presence of necrosis were noted.

Results

Necrosis was correlated with shortened disease free survival (DFS) (p = 0.008) and overall survival (OS) (p = 0.045). For DFS, perinecrotic HIF-1α expression was also prognostic (p = 0.044). Moreover, high p27kip1 expression was an additional prognostic factor for these patients with perinecrotic HIF-1α expression. In multivariate Cox regression, perinecrotic HIF-expression emerged as an independent prognostic factor. Perinecrotic HIF-1α expression was significantly associated with CAIX and Glut-1 expression, pointing towards functional HIF-1.

Conclusions

In patients with endometrioid endometrial cancer, necrosis and necrosis-related expression of HIF-1α are important prognostic factors. More aggressive adjuvant treatment might be necessary to improve the outcome of patients with these characteristics.

Peer Review reports

Background

Endometrial cancer is the most common malignant tumour of the female genital tract. The American Cancer Society estimated that 42160 women have been diagnosed with, and 7780 women have died of cancer of the female genital tract in 2009 in the US[1]. In the endometrium different subtypes of cancer can develop. Endometrioid endometrial carcinoma (EEC), or Type 1 cancers, are oestrogen dependent, often develop in a background of atypical complex hyperplasia and account for over 75% of cases. EEC patients generally have a good prognosis, with low mortality for stage 1 disease (5-year survival around 87%)[2]. However, survival drops in higher stage of disease. Additional prognostic factors could help to decide the need for adjuvant treatment and to identify new treatment strategies.

Solid tumours outgrow their own vasculature beyond the size of several mm3, resulting in hypoxia. Regions of necrosis are believed to demarcate regions of severe, chronic hypoxia[3]. Hypoxia is an important issue in carcinogenesis because it renders a more aggressive phenotype with increased invasiveness and proliferation, formation of metastases and poorer survival[4–8]. Besides, hypoxic malignant cells are more resistant to radiotherapy and chemotherapy[9–11]. In reaction to hypoxia, cells will alter their metabolism and activate certain survival genes. Hypoxia inducible factor 1 (HIF-1) plays an essential role in the adaptive cellular response to hypoxia[12, 13]. HIF-1 is a transcription factor composed of the subunits HIF-1α and HIF-1β, which are basic helix-loop-helix DNA binding proteins. HIF-1β is constitutively expressed at the protein level. The activity of HIF-1 is predominantly regulated at the post-translational level by regulating HIF-1α protein stability. Under normoxia, HIF-1α is hydroxylated by prolyl hydroxylases in the oxygen dependent degradation domain. Hydroxylated HIF-1α is recognized by the Von Hippel Lindau protein, ubiquitinated, and destined for degradation by the proteasome. This process is inhibited during hypoxia[14], where stabilized HIF-1α heterodimerizes with HIF-1β to transactivate target genes after nuclear translocation by binding to the consensus Hypoxia Responsive Element (HRE) 5'-RCGTG-3' in promoters and enhancers[15]. Among these are growth factors, glucose transporters, glycolytic enzymes, and genes involved in gluconeogenesis, high-energy phosphate metabolism, erythropoiesis, haem metabolism, iron transport, vasomotor regulation and nitric oxide synthesis[13, 15–17]. Protein products of these downstream genes help the cell to survive the hypoxic stress by increasing oxygen delivery (angiogenesis) and by switching to anaerobic glycolysis.

Previous breast cancer studies[6, 7] showed that in hypoxic conditions, HIF-1α expression is seen perinecrotically, with induction of its target genes carbonic anhydrase 9 (CAIX), that plays a role in pH regulation[18] and Glut-1, a transmembrane glucose transporter [19, 20]. In normoxic conditions, HIF-1α expression can also be induced by other mechanisms, but was to a much lesser extent associated with downstream activation. CAIX and Glut-1 thereby serve to identify functional HIF-1α[7]. In breast cancer, we showed that patients with a diffuse (non-hypoxia associated) HIF-1α staining pattern had a relatively better prognosis[7]. Elevated levels of CAIX are predictive of hypoxia in various types of cancer and are related to poor prognosis[21, 22]. The prognostic value of CAIX and Glut-1 has not been studied in endometrial cancer. We previously suggested that HIF-1α plays an important role in endometrial carcinogenesis[23]. In postmenopausal woman, HIF-1α was increasingly overexpressed from inactive endometrium through hyperplasia to endometrioid carcinoma, paralleled by activation of its downstream genes. HIF-1α overexpression has further been shown to be correlated with a poorer survival in cancers of the brain[24], cervix[25] and ovary[26]. As HIF-1α is related to poor clinical outcome in some tumours, HIF-1α expression could be used to identify patients who are at risk of developing recurrent disease and who may benefit from adjuvant therapy. Moreover, targeting HIF-1α could be an attractive therapeutic strategy with the potential for disrupting multiple pathways crucial for tumour growth. In endometrial cancer, there are some conflicting data concerning the prognostic relevance of HIF-1α, probably due to varying methodology and patient groups[27–30]. Whether the different HIF-1α expression patterns have different prognostic implications in endometrial cancer is yet unknown.

In accordance with the need to decrease energy usage under low oxygen conditions, hypoxia induces cell-cycle arrest[31]. Cell-cycle arrest is regulated by complex interactions between cyclins, cyclin-dependent kinases (CDKs), and cyclin-dependent kinase inhibitors (CKIs)[32]. p27kip1 is a CKI that regulates progression from G1 to S phase by inhibiting a variety of cyclin-CDK complexes. It has been shown that p27kip1 expression is strongly reduced in endometrial cancer[33, 34]. In a recent study on cell cycle regulation during endometrial carcinogenesis[23], p27kip1 protein was re-expressed in necrotic (i.e. hypoxic) areas of endometrial carcinomas. We showed that p27kip1 re-expression by hypoxia was HIF-1α-dependent and led to cell cycle arrest. This possibly contributes to survival of cancer cells in hypoxic parts of the tumour[35].

Several studies demonstrated that loss of the p27kip1 protein, as assessed by immunohistochemistry, is a negative prognostic marker in malignancies[36, 37]. However, the prognostic importance of HIF-1α induced re-expression of p27kip1 is not known. Loss of p27kip1 expression in endometrial carcinoma did not seem to correlate with worse prognosis in previous studies[38, 39].

Understanding the mechanisms of carcinogenesis and progression of endometrial cancer is important as these insights might lead to improved diagnostic tools for the pathologist, improved prediction of prognosis and response to therapy, and eventually better biology-based disease management in the individual patient. The aim of this study was therefore to (1) re-evaluate the prognostic value of HIF-1α with emphasis on expression patterns and investigate the additional effect of p27kip1 expression on predicting survival in EEC and (2) to determine relationships with the other clinicopathologic markers in the endometrioid type of endometrial cancer.

Methods

Patients and Tissues

The study group, diagnosed between 1992 and 2005 at the University Medical Centre Utrecht, The Netherlands, was composed as follows: a search in our tumour bank for patients with endometrioid endometrial cancer yielded 108 patients with paraffin embedded tumour tissue available. Patients with only endometrial sampling material available were not included in our study. Furthermore, patients were excluded if they had a second primary tumour of the cervix or ovary (n = 3), or a history of cervical carcinoma (n = 7). None of the patients received preoperative radio- or chemotherapy. Patient chart review was performed retrospectively; adequate follow-up data were lacking for 5 patients, leaving 93 patients. Table 1 gives an overview of the patient demographics and main pathological features. Haematoxylin and eosin-stained sections were revised and histologically graded. The tumour stage was defined by the International Federation of Gynaecologists and Obstetricians (FIGO) system. Anonymous use of redundant tissue for research purposes is part of the standard treatment agreement with patients in our hospital[40].

Table 1 Patient demographics and main pathological features of the group of endometrioid endometrial cancer patients (n = 93).
Full size table

Immunohistochemistry

Immunohistochemistry was performed on serial 4-μm tick paraffin slides. Table 2 presents all antibodies, dilutions, incubation times, and antigen-retrieval methods used. For all stainings, slides were deparaffinized with xylene and serial ethanol dilutions, and endogenous peroxidase activity was blocked in a buffer solution of pH 5.8 with hydrogen peroxide followed by antigen retrieval. For HIF-1α, antigen retrieval was performed with EDTA buffer pH 9.0 for 20 minutes at boiling temperature. After a cooling down period of 20 minutes, slides were incubated with a protein block (Vision Biosystems, Novocastra Laboratories Ltd, Newcastle Upon Tyne, United Kingdom) for 5 minutes, followed by anti-HIF-1α antibody (mouse monoclonal, BD Transduction Laboratories, dilution 1:50, overnight 4°C). Incubation with the secondary antibody (Post Primary block, Novocastra) for 30 minutes was preceded by incubation of Novolink™ polymer (Novocastra) for 30 minutes. For p27kip1 staining, antigen retrieval was performed with citrate buffer, pH 6.0, for 20 minutes at boiling temperature. After a cooling down period of 20 minutes the slides were incubated with the primary antibody (Kip1/p27, BD Transduction Laboratories; dilution 1:500, overnight 4°C) followed by the secondary antibody (Powervision, ImmunoVision Technologies, Brisbane, CA, USA; ready to use, 30 minutes) as before[35]. For CAIX and Glut-1 staining protocols were used as before[6, 7, 23]. Slides were developed with diaminobenzidine for 10 minutes, followed by haematoxylin counterstaining. In between steps, slides were washed in PBS. Before the slides were mounted, all sections were dehydrated in alcohol and xylene. Appropriate positive and negative controls were used throughout.

Table 2 Overview of the antibodies used and tissue processing details.
Full size table

Evaluation of Staining

Scoring was performed by two observers (PJvD, LS) as before[6, 7, 23]. Stainings were scored blinded to clinicopathologic data and results of other stainings. For HIF-1α and p27kip1, the percentage of dark, homogenously stained nuclei was estimated, ignoring cytoplasmic staining. Both were considered positive when ≥1% staining was seen. Glut-1 and CAIX were considered positive when membrane staining was seen. The pattern of HIF-1α, Glut-1 and CAIX was noted as purely diffuse (throughout the tumour without emphasis on areas with necrosis, thought to be due to non-hypoxic stimuli), perinecrotic (only positive staining around a necrotic area, thought to be hypoxia induced) or a combination of these two ("mixed"). No double staining was performed as this was done previously in breast cancer, and no further topographic analysis of staining was performed[7]. For p27kip1, the pattern of staining was noted as perinecrotic, centrally in tumour islands (as these may be pre-necrotic areas), diffuse or mixed.

Statistical Analysis

The Chi-square test or Fisher's Exact test (when appropriate) were used to evaluate correlations between HIF-1α expression, presence of necrosis, p27kip1 expression and stage, grade, myometrial invasion. Correlations between HIF-1α, CAIX and Glut-1 expression were evaluated with McNemar's test and Spearman rank correlation coefficient. Mann-Whitney-U was used to assess HIF-1α expression and age at time of diagnosis. For univariate survival analysis, the HIF-1α staining pattern or the 75% percentile (35%) was chosen as cut-off value for HIF-1α and p27kip1 expression, closely corresponding to the proportion of patients that remained alive and well (81%). Kaplan-Meier curves were plotted, and differences between the curves were analyzed with the log-rank test to test disease-free survival (DFS) and overall survival (OS). Cox proportional hazard was used for the multivariate survival analysis entering stage, grade, myometrial invasion, age, perinecrotic HIF-1α and p27kip1 expression as covariates. Two sided uncorrected p-values < 0.05 were considered statistically significant. All analysis were performed with SPSS for Windows version 15.0; SPSS Inc., Chicago, IL, USA.

Results

HIF-1α and necrosis

Detectable levels of HIF-1α were found in all endometrial carcinomas. The mean level of nuclear staining for HIF-1α was 26% (median, 20%; range, 1-90%). 20/93 cases (21%) showed a purely perinecrotic staining pattern, 39/93 (42%) a purely diffuse pattern, and 34/93 (37%) showed a mixed (diffuse and perinecrotic) pattern (figure 1). Necrosis was found in 73/93 (75%) of the endometrial carcinomas. Not all tumours with necrosis showed perinecrotic HIF-1α expression.

Figure 1
figure1

Immunohistochemical staining of HIF-1α, CAIX, Glut-1 and p27 kip1 in endometrioid endometrial carcinoma. Typical patterns are shown: A) perinecrotic HIF-1α expression (10× magnification). B) Diffuse HIF-1α expression (10× magnification). C) Diffuse p27kip1 expression (10× magnification). D) Perinecrotic Glut-1 expression (10× magnification) E) Membrane CAIX expression (20× magnification). Asterisk indicates necrosis.

Full size image

Presence of perinecrotic HIF-1α expression was significantly associated with high-grade tumours (table 3). Nine out of 28 tumours (32%) showed perinecrotic HIF-1α expression in grade 1 tumours compared with 70% grade 2 and grade 3 tumours (χ2-test, p = 0.004). HIF-1a expression in endometrioid endometrial cancer was not stage dependent and there was no association of perinecrotic HIF-1α expression and depth of myometrial invasion or age. Similarly, necrosis was more often seen in high grade than in low grade tumours (χ2-test, p = 0.003). No association was found between necrosis and tumour stage, depth of myometrial invasion or age.

Table 3 Associations between HIF-1α staining pattern, clinicopathological features and expression of CAIX, Glut-1 and p27kip1.
Full size table

p27kip1protein expression

Expression of p27kip1 was found in 86/93 (93%) of endometrial carcinomas (figure 1). The mean level of nuclear staining for p27kip1 was 24% (median, 20%; range 0-100%). There was no correlation between percentage p27kip1 positive cells and stage, grade, age, HIF-1α expression pattern or necrosis (additional file 1). In 56% of the tumours (30/54) with perinecrotic HIF-1α expression, we observed central/perinecrotic p27kip1 staining (McNemar; p < 0.0001). p27kip1 staining pattern did not correlate with age, stage or myometrial invasion. However, perinecrotic/central p27kip1 expression pattern was correlated with higher grade (p = 0.046).

CAIX and Glut-1 expression in relation with HIF-1α

CAIX was expressed in 71/93 (76%) cases. Glut-1 showed membranous expression in 76/93 (81%) cases. Positive expression of both CAIX and Glut-1 was seen in 68% of the perinecrotic HIF-1α expressing tumours compared to 32% of the diffuse group (χ2-test, 0.007). Perinecrotic HIF-1α expression was also significantly associated with CAIX or Glut-1 expression (McNemar; p = 0.004 respectively p < 0.0001).The 54 cases with any perinecrotic HIF-1α expression showed positive expression of CAIX or Glut-1 in 47/54 and 48/53 cases, respectively. Diffuse HIF-1α expression was accompanied by CAIX expression in 24/39 or Glut-1 expression in 28/39 cases. Levels of HIF-1α expression correlated with expression levels of CAIX ( Spearman; p = 0.012) but not with expression levels of Glut-1.

Survival analysis results

Locoregional recurrences (vaginal, pelvic, or both) or distant metastases were found in 18 of 93 patients. Three patients with unknown recurrence status were censored for disease free survival analysis. Stage and grade showed prognostic value as expected, underlining the representativeness of the patient group (see Figure 2). Univariate analysis (Kaplan-Meier, log rank test) for the whole group of patients showed that necrosis was correlated with shortened disease free survival (DFS) (p = 0.008) and overall survival (OS) (p = 0.045). For DFS, perinecrotic HIF-1α expression also was prognostic (p = 0.044), as shown in figure 2. HIF expression in more than 35% of cells was associated with a shorter OS (p = 0.032). CAIX expression was not correlated with survival. Membranous Glut-1 expression however correlated with a shorter DFS (p = 0.037). Subgroup analysis of low stage (stage I and II) (n = 75) patients did show perinecrotic HIF-1α expression also to be an indicator of shorter disease free survival in this patient group (p = 0.033), while significance was lost in the stage III/IV (n = 18) subgroups (p = 0.737).

Figure 2
figure2

Kaplan-Meier survival curves illustrating disease-free survival and overall survival for endometrioid endometrial carcinoma patients (n = 93) with tumour necrosis (A, B) and patients with perinecrotic type HIF-1α expression (C, D). E and F show the survival for the patients with perinecrotic HIF-1α expression (n = 51) and high p27kip1 expression. Stage and grade show prognostic value as expected in G - J.

Full size image

P27kip1 expression or expression pattern had no significant relation to prognosis. Subgroup analysis of patients with perinecrotic HIF-1α expression (n = 55) revealed that high p27kip1 expression (>50% positive cells) was an additional prognostic factor indicating a poor prognosis for DFS (p = 0.007) and OS (p = 0.002) in this subgroup.

In a multivariate model together with stage, grade, depth of myometrial invasion and age at diagnosis, only perinecrotic HIF-1α expression emerged as an additional prognostic factor to stage and age for DFS (p = 0.044; RR: 0.312; 95% Confidence Interval 0.100-0.972). Multivariate analysis of patients with perinecrotic HIF-1α expression, showed high p27kip1 to be a prognostic factor for DFS above stage and age (p = 0.011; RR: 6.735 95% Confidence Interval 1.557-29.122).

Discussion

Hypoxia and its key regulator HIF-1α have been shown to play an important role in endometrial carcinogenesis[23], but contradictory results have been published as to the prognostic value of HIF-1α overexpression in endometrial carcinoma[27–30], while expression patterns have been ignored. The aim of this study was therefore to re-evaluate the prognostic value of HIF-1α overexpression in a representative group of patients with endometrioid endometrial cancer, with emphasis on expression patterns. Also, as p27kip1 is re-expressed in hypoxic regions of EEC[35], we investigated the additional effect of p27kip1 expression on predicting survival in EEC. HIF-1α overexpression, especially the perinecrotic type, and necrosis appeared to be independent indicators of poor prognosis. High p27kip1 (>50% positive cells) expression was an additional prognostic factor in the subgroup of patients with perinecrotic type of HIF-1α expression.

Our results on the prognostic value of HIF-1α overexpression are in line with those of Sivridis et al.[27] where HIF-1α was associated with a shorter overall survival in stage 1 endometrial cancer. However, others did not find a significant prognostic impact of HIF-1α overexpression[28–30]. Immunohistochemical HIF-1α studies are difficult to compare because of a variation in the definition of HIF-1α positivity. Previous studies did not consider the different expression patterns throughout the tumours (diffuse versus perinecrotic) that have been shown in other cancers to be prognostically crucial[7]. Another difference between the present and previous studies is the cut off value for HIF-1α expression. In the present study, the cut off value for prognostic value of HIF-1α was 35%, much higher than in other studies where the cut off varied between 1% and 5%[6, 41]. Our results indicate that also in endometrial cancer, the pattern of HIF-1α expression is more important for the prognosis than percentage and intensity of HIF-1α expressing cells in general. This significance of expression pattern could be explained by the fact that perinecrotic HIF-1α expression is thought to be hypoxia driven, whereas diffuse HIF-1α expression may rather be due to non-hypoxic stimuli[6, 7]. In a previous study from our group[23] we showed that diffuse HIF-1α expression was associated with the highest microvessel density (MVD); perinecrotic and mixed patterns were associated with an intermediate MVD (p < 0.05). This indicates that diffuse HIF-1α expression is more likely to be due to non-hypoxic stimuli than to non-necrosis associated hypoxia. We showed that perinecrotic HIF-1α expression is more often accompanied by activation of its downstream factors Glut-1 and CAIX, indicating it to be more active than diffuse HIF-1α. More activation of HIF-1α and its target genes would give more tumour cells a survival advantage in a hypoxic environment. Perinecrotic HIF-1α expression retained its prognostic significance in the subgroup of low stage, while significance was lost in stage III/IV patients, indicating that HIF-1α expression seems to be especially important in low stage patients. However, sample size of the subgroups (especially the high stages) was limiting. Therefore, no definitive conclusions on the prognostic value of HIF-1α in high stage patients can be made. Loss of p27kip1 expression has been reported for a number of human tumour types and has been correlated with poor prognosis and tumour aggressiveness[36, 42]. Only one study showed a correlation between p27kip1 expression and prognosis in endometrial cancer[43]. However, we found no prognostic influence of global p27kip1 expression in endometrioid endometrial carcinoma. This is in line with the outcome of others[38, 39, 44]. Since we found hypoxia to be able to induce re-expression of p27kip1 in a HIF-1α dependent way in a previous study[35], we evaluated the prognostic value of p27kip1 in relation to HIF-1α in the present study. In the subgroup of patients with perinecrotic HIF-1α expression, high p27kip1 expression (>50% positive cells) was associated with a shorter DFS and OS. This fits with our previously proposed model that hypoxia induced re-expression of p27kip1 may result in dormancy of hypoxic cells, which in combination with HIF-1α induced expression of genes regulating supply of energy, growth factors and other survival factors, may promote cellular survival and adaptation of sub clones within the tumour that may contribute to metastatic disease and poor clinical outcome. In our previous study however, only central/perinecrotic p27kip1 expression was associated with HIF-1α induced re-expression[35]. In the present study, central/perinecrotic p27kip1 expression was still associated with perinecrotic HIF-1α expression; however this subgroup was too small to correlate with survival data.

Interestingly, all patients lacking tumour necrosis survived, and none of these patients developed a locoregional or distant recurrence. The prognostic value of necrosis is in concordance with previous results by Scholten et al.[45] who showed that necrosis is a significant prognostic factor in Stage I-III endometrioid endometrial carcinoma. Although necrosis is a strong independent prognostic factor for endometrial carcinoma, its clinical use may be limited because of a moderate reproducibility[45–47]. Further, excluding the presence of necrosis requires adequate sampling. More objective biomarkers like perinecrotic HIF-1α expression could result in a higher reproducibility.

Conclusions

We conclude that in endometrioid endometrial carcinoma, absence of necrosis is a favourable prognostic factor. Tumours with a perinecrotic HIF-1 expression are more aggressive than tumours with purely diffuse HIF-1 expression. Furthermore, the combination of perinecrotic HIF expression and high p27kip1 expression is indicative for an unfavourable prognosis. More aggressive adjuvant treatment might be necessary to improve the outcome of these patients. To this end, targeting the HIF pathway might provide an attractive strategy to treat hypoxic and highly angiogenic tumours. Thus far, selective HIF-1 inhibitors have not been identified. A number of non-selective inhibitors, which indirectly target signaling pathways upstream or downstream of HIF-1 are known to decrease the key regulating HIF-1α protein levels. Preliminary results show encouraging results for these single agent treatments, however severe toxicities have been encountered. Lack of specificity increases the difficulty in attributing any anti-tumorigenic effects of these drugs specifically to inhibition of HIF-1. Further studies are needed to show whether adaptation of therapy protocols might be of benefit for endometrial cancer patients with perinecrotic HIF-1α overexpression.

References

  1. 1.

    Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ: Cancer statistics, 2009. CA Cancer J Clin. 2009, 59: 225-249. 10.3322/caac.20006.

    Article  PubMed  Google Scholar 

  2. 2.

    Creasman WT, Odicino F, Maisonneuve P, Quinn MA, Beller U, Benedet JL, Heintz AP, Ngan HY, Pecorelli S: Carcinoma of the corpus uteri. FIGO 6th Annual Report on the Results of Treatment in Gynecological Cancer. Int J Gynaecol Obstet. 2006, 95 (Suppl 1): S105-S143. 10.1016/S0020-7292(06)60031-3.

    Article  PubMed  Google Scholar 

  3. 3.

    Shimizu S, Eguchi Y, Kamiike W, Itoh Y, Hasegawa J, Yamabe K, Otsuki Y, Matsuda H, Tsujimoto Y: Induction of apoptosis as well as necrosis by hypoxia and predominant prevention of apoptosis by Bcl-2 and Bcl-XL. Cancer Res. 1996, 56: 2161-2166.

    CAS  PubMed  Google Scholar 

  4. 4.

    Kurokawa T, Miyamoto M, Kato K, Cho Y, Kawarada Y, Hida Y, Shinohara T, Itoh T, Okushiba S, Kondo S, et al: Overexpression of hypoxia-inducible-factor 1alpha(HIF-1alpha) in oesophageal squamous cell carcinoma correlates with lymph node metastasis and pathologic stage. Br J Cancer. 2003, 89: 1042-1047. 10.1038/sj.bjc.6601186.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Le QT, Denko NC, Giaccia AJ: Hypoxic gene expression and metastasis. Cancer Metastasis Rev. 2004, 23: 293-310. 10.1023/B:CANC.0000031768.89246.d7.

    CAS  Article  PubMed  Google Scholar 

  6. 6.

    Bos R, van der Groep P, Greijer AE, Shvarts A, Meijer S, Pinedo HM, Semenza GL, van Diest PJ, van der Wall E: Levels of hypoxia-inducible factor-1alpha independently predict prognosis in patients with lymph node negative breast carcinoma. Cancer. 2003, 97: 1573-1581. 10.1002/cncr.11246.

    Article  PubMed  Google Scholar 

  7. 7.

    Vleugel MM, Greijer AE, Shvarts A, van der Groep P, van Berkel M, Aarbodem Y, van Tinteren H, Harris AL, van Diest PJ, van der Wall E: Differential prognostic impact of hypoxia induced and diffuse HIF-1alpha expression in invasive breast cancer. J Clin Pathol. 2005, 58: 172-177. 10.1136/jcp.2004.019885.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    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 1alpha is associated with an unfavorable prognosis in lymph node-positive breast cancer. Clin Cancer Res. 2002, 8: 1831-1837.

    CAS  PubMed  Google Scholar 

  9. 9.

    Harrison L, Blackwell K: Hypoxia and anemia: factors in decreased sensitivity to radiation therapy and chemotherapy?. Oncologist. 2004, 9 (Suppl 5): 31-40. 10.1634/theoncologist.9-90005-31.

    Article  PubMed  Google Scholar 

  10. 10.

    Unruh A, Ressel A, Mohamed HG, Johnson RS, Nadrowitz R, Richter E, Katschinski DM, Wenger RH: The hypoxia-inducible factor-1 alpha is a negative factor for tumor therapy. Oncogene. 2003, 22: 3213-3220. 10.1038/sj.onc.1206385.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Greijer AE, de Jong MC, Scheffer GL, Shvarts A, van Diest PJ, van der Wall E: Hypoxia-induced acidification causes mitoxantrone resistance not mediated by drug transporters in human breast cancer cells. Cell Oncol. 2005, 27: 43-49.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    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-C1180.

    CAS  PubMed  Google Scholar 

  13. 13.

    Greijer AE, van der Groep P, Kemming D, Shvarts A, Semenza GL, Meijer GA, van de Wiel MA, Belien JA, van Diest PJ, van der Wall E: Up-regulation of gene expression by hypoxia is mediated predominantly by hypoxia-inducible factor 1 (HIF-1). J Pathol. 2005, 206: 291-304. 10.1002/path.1778.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Huang LE, Arany Z, Livingston DM, Bunn HF: Activation of hypoxia-inducible transcription factor depends primarily upon redox-sensitive stabilization of its alpha subunit. J Biol Chem. 1996, 271: 32253-32259. 10.1074/jbc.271.50.32253.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Semenza GL: Regulation of mammalian O2 homeostasis by hypoxia-inducible factor 1. Annu Rev Cell Dev Biol. 1999, 15: 551-578. 10.1146/annurev.cellbio.15.1.551.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Semenza GL: HIF-1: mediator of physiological and pathophysiological responses to hypoxia. J Appl Physiol. 2000, 88: 1474-1480.

    CAS  PubMed  Google Scholar 

  17. 17.

    Ratcliffe PJ, O'Rourke JF, Maxwell PH, Pugh CW: Oxygen sensing, hypoxia-inducible factor-1 and the regulation of mammalian gene expression. J Exp Biol. 1998, 201: 1153-1162.

    CAS  PubMed  Google Scholar 

  18. 18.

    Vaughan-Jones RD, Spitzer KW: Role of bicarbonate in the regulation of intracellular pH in the mammalian ventricular myocyte. Biochem Cell Biol. 2002, 80: 579-596. 10.1139/o02-157.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Behrooz A, Ismail-Beigi F: Stimulation of Glucose Transport by Hypoxia: Signals and Mechanisms. News Physiol Sci. 1999, 14: 105-110.

    CAS  PubMed  Google Scholar 

  20. 20.

    Pedersen MW, Holm S, Lund EL, Hojgaard L, Kristjansen PE: Coregulation of glucose uptake and vascular endothelial growth factor (VEGF) in two small-cell lung cancer (SCLC) sublines in vivo and in vitro. Neoplasia. 2001, 3: 80-87. 10.1038/sj.neo.7900133.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Giatromanolaki A, Koukourakis MI, Sivridis E, Pastorek J, Wykoff CC, Gatter KC, Harris AL: Expression of hypoxia-inducible carbonic anhydrase-9 relates to angiogenic pathways and independently to poor outcome in non-small cell lung cancer. Cancer Res. 2001, 61: 7992-7998.

    CAS  PubMed  Google Scholar 

  22. 22.

    Loncaster JA, Harris AL, Davidson SE, Logue JP, Hunter RD, Wycoff CC, Pastorek J, Ratcliffe PJ, Stratford IJ, West CM: Carbonic anhydrase (CA IX) expression, a potential new intrinsic marker of hypoxia: correlations with tumor oxygen measurements and prognosis in locally advanced carcinoma of the cervix. Cancer Res. 2001, 61: 6394-6399.

    CAS  PubMed  Google Scholar 

  23. 23.

    Horree N, van Diest PJ, van der Groep P, Sie-Go DM, Heintz AP: Hypoxia and angiogenesis in endometrioid endometrial carcinogenesis. Cell Oncol. 2007, 29: 219-227.

    CAS  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Birner P, Gatterbauer B, Oberhuber G, Schindl M, Rossler K, Prodinger A, Budka H, Hainfellner JA: Expression of hypoxia-inducible factor-1 alpha in oligodendrogliomas: its impact on prognosis and on neoangiogenesis. Cancer. 2001, 92: 165-171. 10.1002/1097-0142(20010701)92:1<165::AID-CNCR1305>3.0.CO;2-F.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Birner P, Schindl M, Obermair A, Plank C, Breitenecker G, Oberhuber G: Overexpression of hypoxia-inducible factor 1alpha is a marker for an unfavorable prognosis in early-stage invasive cervical cancer. Cancer Res. 2000, 60: 4693-4696.

    CAS  PubMed  Google Scholar 

  26. 26.

    Osada R, Horiuchi A, Kikuchi N, Yoshida J, Hayashi A, Ota M, Katsuyama Y, Mellilo G, Konishi I: Expression of hypoxia-inducible factor 1alpha, hypoxia-inducible factor 2alpha, and von Hippel-Lindau protein in epithelial ovarian neoplasms and allelic loss of von Hippel-Lindau gene: nuclear expression of hypoxia-inducible factor 1alpha is an independent prognostic factor in ovarian carcinoma. Hum Pathol. 2007, 38: 1310-1320. 10.1016/j.humpath.2007.02.010.

    CAS  Article  PubMed  Google Scholar 

  27. 27.

    Sivridis E, Giatromanolaki A, Gatter KC, Harris AL, Koukourakis MI: Association of hypoxia-inducible factors 1alpha and 2alpha with activated angiogenic pathways and prognosis in patients with endometrial carcinoma. Cancer. 2002, 95: 1055-1063. 10.1002/cncr.10774.

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Acs G, Xu X, Chu C, Acs P, Verma A: Prognostic significance of erythropoietin expression in human endometrial carcinoma. Cancer. 2004, 100: 2376-2386. 10.1002/cncr.20244.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Pansare V, Munkarah AR, Schimp V, Haitham AM, Saed GM, Morris RT, li-Fehmi R: Increased expression of hypoxia-inducible factor 1alpha in type I and type II endometrial carcinomas. Mod Pathol. 2007, 20: 35-43. 10.1038/modpathol.3800718.

    CAS  Article  PubMed  Google Scholar 

  30. 30.

    Pijnenborg JM, Wijnakker M, Hagelstein J, Delvoux B, Groothuis PG: Hypoxia contributes to development of recurrent endometrial carcinoma. Int J Gynecol Cancer. 2007, 17: 897-904. 10.1111/j.1525-1438.2007.00893.x.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Green SL, Giaccia AJ: Tumor hypoxia and the cell cycle: implications for malignant progression and response to therapy. Cancer J Sci Am. 1998, 4: 218-223.

    CAS  PubMed  Google Scholar 

  32. 32.

    Sherr CJ: The Pezcoller lecture: cancer cell cycles revisited. Cancer Res. 2000, 60: 3689-3695.

    CAS  PubMed  Google Scholar 

  33. 33.

    Bamberger AM, Riethdorf L, Milde-Langosch K, Bamberger CM, Thuneke I, Erdmann I, Schulte HM, Loning T: Strongly reduced expression of the cell cycle inhibitor p27 in endometrial neoplasia. Virchows Arch. 1999, 434: 423-428. 10.1007/s004280050361.

    CAS  Article  PubMed  Google Scholar 

  34. 34.

    Schmitz MJ, Hendricks DT, Farley J, Taylor RR, Geradts J, Rose GS, Birrer MJ: p27 and cyclin D1 abnormalities in uterine papillary serous carcinoma. Gynecol Oncol. 2000, 77: 439-445. 10.1006/gyno.2000.5814.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Horree N, Gort E, van der Groep P, Heintz A, Vooijs M, van Diest P: Hypoxia-inducible factor 1alpha is essential for hypoxic p27 induction in endometrioid endometrial carcinoma. J Pathol. 2008, 214: 38-45. 10.1002/path.2244.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Catzavelos C, Bhattacharya N, Ung YC, Wilson JA, Roncari L, Sandhu C, Shaw P, Yeger H, Morava-Protzner I, Kapusta L, et al: Decreased levels of the cell-cycle inhibitor p27Kip1 protein: prognostic implications in primary breast cancer. Nat Med. 1997, 3: 227-230. 10.1038/nm0297-227.

    CAS  Article  PubMed  Google Scholar 

  37. 37.

    Masciullo V, Sgambato A, Pacilio C, Pucci B, Ferrandina G, Palazzo J, Carbone A, Cittadini A, Mancuso S, Scambia G, et al: Frequent loss of expression of the cyclin-dependent kinase inhibitor p27 in epithelial ovarian cancer. Cancer Res. 1999, 59: 3790-3794.

    CAS  PubMed  Google Scholar 

  38. 38.

    Masciullo V, Susini T, Zamparelli A, Bovicelli A, Minimo C, Massi D, Taddei G, Maggiano N, De IP, Ceccaroni M, et al: Frequent loss of expression of the cyclin-dependent kinase inhibitor p27(Kip1) in estrogen-related Endometrial adenocarcinomas. Clin Cancer Res. 2003, 9: 5332-5338.

    CAS  PubMed  Google Scholar 

  39. 39.

    Erkanli S, Kayaselcuk F, Kuscu E, Bagis T, Bolat F, Haberal A, Demirhan B: Expression of survivin, PTEN and p27 in normal, hyperplastic, and carcinomatous endometrium. Int J Gynecol Cancer. 2006, 16: 1412-1418. 10.1111/j.1525-1438.2006.00541.x.

    CAS  Article  PubMed  Google Scholar 

  40. 40.

    van Diest PJ: No consent should be needed for using leftover body material for scientific purposes. For. BMJ. 2002, 325: 648-651. 10.1136/bmj.325.7365.648.

    Article  PubMed  Google Scholar 

  41. 41.

    Beasley NJ, Leek R, Alam M, Turley H, Cox GJ, Gatter K, Millard P, Fuggle S, Harris AL: Hypoxia-inducible factors HIF-1alpha and HIF-2alpha in head and neck cancer: relationship to tumor biology and treatment outcome in surgically resected patients. Cancer Res. 2002, 62: 2493-2497.

    CAS  PubMed  Google Scholar 

  42. 42.

    Huang LW, Chao SL, Hwang JL, Chou YY: Down-regulation of p27 is associated with malignant transformation and aggressive phenotype of cervical neoplasms. Gynecol Oncol. 2002, 85: 524-528. 10.1006/gyno.2002.6666.

    CAS  Article  PubMed  Google Scholar 

  43. 43.

    Watanabe J, Sato H, Kanai T, Kamata Y, Jobo T, Hata H, Fujisawa T, Ohno E, Kameya T, Kuramoto H: Paradoxical expression of cell cycle inhibitor p27 in endometrioid adenocarcinoma of the uterine corpus - correlation with proliferation and clinicopathological parameters. Br J Cancer. 2002, 87: 81-85. 10.1038/sj.bjc.6600434.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  44. 44.

    Nycum LR, Smith LM, Farley JH, Kost ER, Method MW, Birrer MJ: The role of p27 in endometrial carcinoma. Gynecol Oncol. 2001, 81: 242-246. 10.1006/gyno.2001.6144.

    CAS  Article  PubMed  Google Scholar 

  45. 45.

    Scholten AN, Smit VT, Beerman H, van Putten WL, Creutzberg CL: Prognostic significance and interobserver variability of histologic grading systems for endometrial carcinoma. Cancer. 2004, 100: 764-772. 10.1002/cncr.20040.

    Article  PubMed  Google Scholar 

  46. 46.

    Lax SF, Kurman RJ, Pizer ES, Wu L, Ronnett BM: A binary architectural grading system for uterine endometrial endometrioid carcinoma has superior reproducibility compared with FIGO grading and identifies subsets of advance-stage tumors with favorable and unfavorable prognosis. Am J Surg Pathol. 2000, 24: 1201-1208. 10.1097/00000478-200009000-00002.

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Sagae S, Saito T, Satoh M, Ikeda T, Kimura S, Mori M, Sato N, Kudo R: The reproducibility of a binary tumor grading system for uterine endometrial endometrioid carcinoma, compared with FIGO system and nuclear grading. Oncology. 2004, 67: 344-350. 10.1159/000082917.

    Article  PubMed  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/10/307/prepub

Download references

Acknowledgements

This work was supported by the Dutch Cancer Society project 2009-4375.

Author information

Author notes

    Affiliations

    1. Department of Gynaecological Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands

      Laura MS Seeber, Nicole Horrée & René HM Verheijen

    2. Department of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands

      Petra van der Groep & Paul J van Diest

    3. Department of Internal Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands

      Elsken van der Wall

    Authors
    1. Laura MS Seeber
      View author publications

      You can also search for this author in PubMed Google Scholar

    2. Nicole Horrée
      View author publications

      You can also search for this author in PubMed Google Scholar

    3. Petra van der Groep
      View author publications

      You can also search for this author in PubMed Google Scholar

    4. Elsken van der Wall
      View author publications

      You can also search for this author in PubMed Google Scholar

    5. René HM Verheijen
      View author publications

      You can also search for this author in PubMed Google Scholar

    6. Paul J van Diest
      View author publications

      You can also search for this author in PubMed Google Scholar

    Corresponding author

    Correspondence to Paul J van Diest.

    Additional information

    Competing interests

    The authors declare that they have no competing interests.

    Authors' contributions

    LS and NH contributed equally to the manuscript. LS collected samples, performed immunohistochemistry, analysed data, carried out data interpretation and drafted the manuscript. NH participated in the conception and design of the study, collected samples, performed immunohistochemistry, and drafted the manuscript. PG provided technical support and performed immunohistochemistry. EW and RV participated in design of the study and critically revised the manuscript. PD participated in the conception and design of the study, performed revision and new histological staging of samples, supervised statistics and critically revised the manuscript. All authors read and approved the final manuscript.

    Laura MS Seeber, Nicole Horrée contributed equally to this work.

    Electronic supplementary material

    Associations between p27

    Additional file 1: kip1 staining pattern, clinicopathological features, necrosis and HIF-1α expression pattern. (DOC 34 KB)

    Authors’ original submitted files for images

    Below are the links to the authors’ original submitted files for images.

    Authors’ original file for figure 1

    Authors’ original file for figure 2

    Rights and permissions

    Reprints and Permissions

    About this article

    Cite this article

    Seeber, L.M., Horrée, N., van der Groep, P. et al. Necrosis related HIF-1α expression predicts prognosis in patients with endometrioid endometrial carcinoma. BMC Cancer 10, 307 (2010). https://doi.org/10.1186/1471-2407-10-307

    Download citation

    Keywords

    • Overall Survival
    • Endometrial Cancer
    • Endometrial Carcinoma
    • Myometrial Invasion
    • P27kip1 Expression

    BMC Cancer

    ISSN: 1471-2407

    Contact us