Skip Navigation



Japanese Journal of Clinical Oncology Advance Access published online on January 19, 2007

Japanese Journal of Clinical Oncology, doi:10.1093/jjco/hyl137
This Article
Right arrow Abstract Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
37/2/127    most recent
hyl137v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Request Permissions
Google Scholar
Right arrow Articles by Yang, Q.-C.
Right arrow Articles by Huang, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Yang, Q.-C.
Right arrow Articles by Huang, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2007 Foundation for Promotion of Cancer Research

Overexpression of Hypoxia-Inducible Factor-1{alpha} in Human Osteosarcoma: Correlation with Clinicopathological Parameters and Survival Outcome

Qing-Cheng Yang1, Bing-Fang Zeng1,, Yang Dong1, Zhong-Min Shi1, Zhi-Ming Jiang2 and Jin Huang2

1 Department of Orthopedics
2 Department of Pathology, Shanghai Sixth People's Hospital of Shanghai JiaoTong University, Shanghai, China

For reprints and all correspondence: Bing-Fang Zeng, Department of Orthopedics, Shanghai Sixth People's Hospital of Shanghai JiaoTong University, Yishan Road No. 600, Shanghai, 200233, China. E-mail: bingfangzeng{at}yahoo.com.cn

Received May 4, 2006; accepted September 29, 2006


    Abstract
 TOP
 Abstract
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Conflict of interest statement
 References
 
BACKGROUND: Hypoxia is a common feature of many solid cancers and linked to malignant transformation, metastases and treatment resistance. Hypoxia is known to induce hypoxia-inducible factor-1{alpha} (HIF-1{alpha}) expression. The aim of this study is to investigate the impact of overexpression of HIF-1{alpha} on prognosis and the relationship with clinicopathological characteristics in human osteosarcoma.

METHODS: Immunochemistry with digital image analysis was used to determine the HIF-1{alpha} protein expression in histologic sections from 39 treated patients.

RESULTS: According to our study, expression of HIF-1{alpha} protein were detected in 31 of 39 cases (79%), with signal concentrated primarily within the nuclei of tumor cell. In contrast, non-cancerous adjacent tissues showed no HIF-1{alpha} immunoreactivity. HIF-1{alpha} expression was significantly associated with surgical stage, percentage of dead cells and microvessel density (MVD). Surgical stage, percentage of dead cells and HIF-1{alpha} expression showed significant influence on overall survival (OS) and disease-free survival (DFS) in univariate analysis. In multivariate analysis, surgical stage (IIA versus IIB/III) and percentage of dead cells (<90% versus ≥ 90%) were significant for DFS and OS. Those patients with HIF-1{alpha} moderate/strong expression showed significantly shorter OS and DFS compared with HIF-1{alpha} negative/weak expression.

CONCLUSIONS: Overexpression of HIF-1{alpha} is predictive of a poor outcome and might be a novel therapeutic target in human osteosarcoma.

Key Words: osteosarcoma • HIF-1{alpha} • prognosis • immunochemistry


    INTRODUCTION
 TOP
 Abstract
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Conflict of interest statement
 References
 
Osteosarcoma is the most common malignant bone tumor in adolescents and young adults. Although the use of neoadjuvant chemotherapy and improvement in surgical technology have increased the survival rate to 65–75% (1), pulmonary metastasis occurs in approximately 40% of patients with osteosarcoma and remains a major cause of fatal outcome (2).

Hypoxia is a common feature in various human solid cancers. Although the importance of hypoxia in osteosarcoma has not been studied previously, tumor hypoxia has long been known to be associated with resistance to chemotherapy and radiotherapy as well as a more malignant tumor phenotype with increased invasiveness, metastases and poorer survival (36). It is well known that growth of malignant tumors is limited to several mm2 in the absence of neoangiogenesis because of insufficient oxygen and glucose diffusion from blood vessels (7). Neoangiogenesis and cellular adaptation to hypoxia are therefore recognized as essential events for cancer progression. There is also evidence that hypoxia may be responsible for a variety of growth-modulating effects that could confer a growth advantage upon the malignant cells (8,9).

A newly described transcription factor, hypoxia-inducible factor-1{alpha} (HIF-1{alpha}), appears to be an important and highly specific regulator of the cellular response to hypoxia in many different systems (10,11). Hypoxia-inducible factor-1 is a heterodimeric DNA-binding complex, of which the ß subunit is responsible for its translocation into the nucleus and the {alpha} subunit for its oxygen sensitivity (12,13). HIF-1{alpha} influences a number of genes that may in part play roles in tumor progression, including erythropoietin, transferrin, endothelin-1, inducible nitric oxide synthetase, hemeoxygenase 1, vascular endothelial growth factor (VEGF), insulin-like growth factor-2, insulin-like growth factor-binding proteins and different glucose transporters and glycolytic enzymes (14).

Many recent studies revealed that overexpression of HIF-1{alpha} were implicated with the poor prognosis of ovarian cancer, pancreatic carcinoma, breast cancer, nasopharyngeal carcinoma, cervix cancer, head and neck cancer, among others (1522). Until now, the effect of HIF-1{alpha} expression on the prognosis of osteosarcoma had not been studied. The present study was undertaken with the purpose of investigating the expression pattern of HIF-1{alpha} in patients with osteosarcoma and to correlate the level of expression with clinicopathological characteristics and survival outcome.


    PATIENTS AND METHODS
 TOP
 Abstract
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Conflict of interest statement
 References
 
Patients
A total of 39 unselected cases (22 males and 17 females; mean age, 19 years; age range 5–56 years) with primary osteosarcoma were eligible for the study. Before the study all patients underwent systemic neoadjuvent chemotherapy (methotrexate, adriamycin, cisplatin, isofosfamide). Closed biopsies of all cases were performed by fine-needle aspiration or trephine for diagnosis and then surgical treatment. The biopsy samples with bone tissue were decalcified. Non-cancerous adjacent tissues were available in 25 of 39 patients. The clinicopathological characteristics of the patient cohort are summarized in Table 1. Tumor size data were available based on a review of the imaging studies and the pathology reports. Tumor volume was calculated on the basis of an ellipsoid formula, using the measurements: height x width x depth x 0.52. Surgical staging was done according to the method of Enneking et al. (23), with differentiation among highly malignant intracompartmental osteogenic sarcomas (IIA), extracompartmental lesions (IIB), and osteogenic sarcomas with manifestation of metastases present on recognition of the disease (III). The effect of pre-operative chemotherapy as well as the degree of histological regression of the tumor, which was defined as percentage of dead cells, were studied by means of semi-quantitative methods obtained from the literature (24). According to the percentage of dead cells, all cases were divided into two groups: tumors showing good response to pre-operative chemotherapy (dead cells > 90%, surviving cells < 10%), tumors showing poor response (surviving cells > 10%). The mean follow-up time was 50 months (range, 13–86 months).


View this table:
[in this window]
[in a new window]

 
Table 1. Distribution of clinicopathological parameters and cross-tabulations with hypoxia-inducible factor-1{alpha} (HIF-1{alpha}) expression

 
Immunohistochemistry
Formalin-fixed, paraffin embedded tissues were cut into 4 µm sections consecutively. Hematoxylin-eosin staining was performed for histological diagnosis. The immunostaining for HIF-1{alpha} was performed utilizing the streptavidin- biotin-peroxidase method, according to the manufacturer's instructions. In brief, histological slides were deparaffinized in xylol. Slides were heated in 0.01 M citrate buffer for 10 min in a microwave oven. After cooling for 20 min and washing in PBS, endogenous peroxidase was blocked with methanol containing 0.3% hydrogen peroxide for 30 min, followed by incubation with PBS for 30 min. For immunohistochemical detection of HIF-1{alpha}, specimens were incubated overnight at 4°C with the primary antibody HIF-1{alpha} H1{alpha} 67 (Santa Cruz Biotech) at a dilution of 1 : 50. Nuclei were lightly counterstained with hematoxylin.

As a positive control for HIF-1{alpha} expression, immunostaining was performed on a sample of breast cancer tissue with known strong expression of HIF-1{alpha}, which had been used in a previous study (20). For a negative control, primary antibodies were replaced by PBS. As additional negative control, immunostaining for HIF-1{alpha} was also performed in 25 samples of non-cancerous adjacent tissues.

The quality (number, intensity and pattern) of every staining procedure for HIF-1{alpha} has been comparatively evaluated using consecutive control sections. Tumor cell immunoreactivity was scored according to both the extent of nuclear staining (relative number of HIF-1{alpha} positive cells) and the intensity of the reaction: –, not detected; (+), < 1% positive cells; +, 1–10% weakly to moderately stained cells; ++, 1–10% intensively stained cells or 10–50% weakly stained cells; +++, 10–50% positive cells with moderate to strong staining; ++++, > 50% positive cells. For the statistical analysis, the six grades of staining were reduced to four groups: I, negative, (–); II, weak, [(+)/+]; III, moderate, [++/+++]; and IV, strong, [++++]. The assessments were performed independently by two experienced investigators without prior knowledge of the clinical and pathological data.

In the case of mouse anti-CD31, the antibody reaction is preceded by treatment with trypsin for 10 min at 37°C. After the blockage of non-specific binding by immersion in TBS containing 1% casein for 10 min, sections were incubated with the first antibody diluted in TBS: mouse anti-CD31 (Novus Co.) 1 : 100. Microvessel density (MVD) within the tumor was assessed by light microscopy after immunostaining for CD31. Based on the criteria of Weidner et al. (25), a vessel lumen was not required for identification of a microvessel. The three ‘hot’ areas with the highest number of discrete microvessels were identified, photographs of each area were taken at x 200 to count accurate microvessel numbers and the average counts of the three areas were recorded as the MVD.

Statistcs
Association between HIF-1{alpha} expression and various clinicopathological characteristics were analyzed using the {chi}2 test. The results were considered significant at P < 0.05. Correlation between HIF-1{alpha} expression and MVD was analyzed using Spearman's rank correlation analysis.

Two endpoints were examined for survival analyses: disease-free survival (DFS) and overall survival (OS). OS was defined from the day of surgery until death of the patient. Data on patients who had survived until the end of observation period were censored at their last follow-up visit. Death from a cause other than osteosarcoma or survival until the end of the observation period was considered a censoring event. DFS was defined from the end of primary therapy until first evidence of local, regional or distant tumor progression of disease, if the patient showed no evidence of disease after primary therapy. DFS and OS curves were plotted according to the Kaplan–Meier method, the Log-rank test being used to determine the significance of differences between clinicopathological parameters. The Cox proportional hazards model was used for multivariate analysis. For all tests, P < 0.05 was considered as significant.


    RESULTS
 TOP
 Abstract
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Conflict of interest statement
 References
 
Expression of HIF-1{alpha} Protein and MVD in Osteosarcoma
Expression of HIF-1{alpha} protein was detected in 31 of 39 cases (79%), with the signal concentrated primarily within the nuclei of the tumor cell. In contrast, non-cancerous adjacent tissues showed no HIF-1{alpha} immunoreactivity.

Eight patients (21%) qualified for the ‘negative’ HIF-1{alpha} expression group, 14 patients (36%) qualified for the ‘weak’ HIF-1{alpha} expression group, nine patients (23%) qualified for the ‘moderate’ HIF-1{alpha} expression group and eight patients (20%) qualified for the ‘strong’ HIF-1{alpha} expression group. Four patterns of staining were encountered in our study: focal expression, tumor cell expression with no HIF-1{alpha} immunoreactivity around normal tissue (Fig. 1A); at the border of a necrotic region (Fig. 1B) or with the most intense reaction occurring distal to the closest vessels (Fig. 1C, D); or diffuse expression, which was independent of vessel proximity (Fig. 1E, F). In most patients, there was no exclusivity for one or the other staining pattern.


Figure 1371
View larger version (164K):
[in this window]
[in a new window]
[Download PowerPoint slide]
 
Figure 1. Immunohisochemical staining of hypoxia-inducible factor-1{alpha} (A,B,C,E) and CD31 (D,F) expression in human osteosarcoma. A, HIF-1{alpha} strong expression is detectable in tumor cells and absent in para-tumor tissue; B, HIF-1{alpha} expression appears at the border of a necrotic region; C, D, HIF-1{alpha} and CD31 expression appear distal to the closest vessels; E, F, HIF-1{alpha} and CD31 expression diffuse throughout the entire tumor. (P, para-tumor tissue; N, necrotic region; T, tumor tissue; Arrows, microvessel.)

 
Correlation of HIF-1{alpha} Protein Expression with Clinicopathological Parameters
The cross-tabulations for clinicopathological parameters are summarized in Table 1. HIF-1{alpha} expression was significantly associated with surgical stage (P = 0.024) and percentage of dead cells (P = 0.046). However, other clinicopathological parameters, including gender, age, anatomic location, tumor size and surgical treatment were not associated with HIF-1{alpha} expression.

We assessed the association of HIF-1{alpha} expression and MVD in all patients. The number of vessels counted in tumor tissues (24.45 ± 2.37) was significantly greater than that in the adjacent normal tissues (15.63 ± 2.85) (P < 0.05). The data analysis revealed that MVD in HIF-1{alpha}-negative, weak, moderate and strong tumors were 20.68 ± 1.52, 21.28 ± 3.09, 27.98 ± 2.01 and 29.92 ± 3.82, respectively. HIF-1{alpha} expression was significantly correlated with microvessel density by Spearman's rank correlation analysis (P = 0.005, r = 0.813) (Fig. 2).


Figure 1372
View larger version (8K):
[in this window]
[in a new window]
[Download PowerPoint slide]
 
Figure 2. Spearman's rank correlation analysis between HIF-1{alpha} expression and microvessel density.

 
Survival Analysis
During the observation period, 21 patients (54%) developed recurrent disease (five showed regional recurrence, 13 showed distant metastases and three showed regional recurrence and distant metastases), and 29 patients (74%) died from their osteosarcoma. The surgical stage of the patient, percentage of dead cells and HIF-1{alpha} expression significantly influenced DFS (P = 0.011, P = 0.0000 and P = 0.003, respectively) and OS (P = 0.011, P = 0.0001 and P = 0.004, respectively) in univariate analysis (Log-rank test, Table 2).


View this table:
[in this window]
[in a new window]

 
Table 2. Univariate survival analysis (Log-rank tests) of clinicopathological parameters

 
Surgical treatment also influenced DFS significantly (P = 0.044). A multivariate analysis (Cox regression model, Table 3) including age, surgical stage, percentage of dead cells and HIF-1{alpha} expression was performed for OS and DFS. The surgical stage (IIA versus IIB/III) and percentage of dead cells (<90% versus ≥ 90%) were significant for DFS (P = 0.015, P = 0.017) and for OS (P = 0.041, P = 0.031), respectively.


View this table:
[in this window]
[in a new window]

 
Table 3. Multivariate survival analysis (Cox regression model) of clinicopathological parameters

 
Whereas age and HIF-1{alpha} expression did not attain significance, patients with a moderate/strong expression of HIF-1{alpha} showed significantly shorter OS and DFS compared with negative/weak expression. The Kaplan–Meier curves for OS and DFS and HIF-1{alpha} expression are shown in Fig. 3 (panel A, panel B) for all patients.


Figure 1373
View larger version (9K):
[in this window]
[in a new window]
[Download PowerPoint slide]
 
Figure 3. Panel A: overall survival (OS) of 39 patients with osteosarcoma, as a function of ‘negative/weak’ versus ‘moderate/strong’ hypoxia-inducible factor-1{alpha} expression. Panel B: disease-free survival (DFS) of 39 patients with osteosarcoma, as a function of ‘negative/weak’ versus ‘moderate/strong’ hypoxia-inducible factor-1{alpha} expression.

 

    DISCUSSION
 TOP
 Abstract
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Conflict of interest statement
 References
 
Expression of HIF-1{alpha} has been demonstrated recently to be associated with a more aggressive phenotype of cancer cells and with impaired clinical outcome in a variety of human tumors, including cervical, ovarian, breast cancer, pancreatic cancer and cerebral oligodendrogliomas (1618,20,21,26). This study was undertaken because there were no data available on the prognostic relevance of HIF-1{alpha} expression in human osteosarcoma.

This is, to our knowledge, the first study determining the influence of HIF-1{alpha} expression on the prognosis of human osteosarcoma. Expression of HIF-1{alpha} protein, determined by immunohistochemistry, was observed in 79% of specimens. Non-cancerous adjacent tissues were shown to be HIF-1{alpha} negative. The staining for HIF-1{alpha} protein reflects two different expression patterns consistent with the research results in other human tumors (20,27,28). The first depends on the distance from blood vessels and on the perinecrotic regions, which may accord with a decrease in oxygen concentration in tumor tissues. The second expression pattern is manifested as a diffuse immunoreactivity throughout the entire tumor, indicating that HIF-1{alpha} expression can be influenced by factors other than hypoxia. This suggests that expression of HIF-1{alpha} in osteosarcoma cannot be attributed to hypoxia alone. Some tumor suppressor genes and oncogenes, e.g. P53 and von Hippel Lindau (VHL), may play a crucial role in the up-regulation of HIF-1{alpha} expression irrespective of tumor hypoxia (11,2931).

In our study, we demonstrated a strong correlation between HIF-1{alpha} expression and increased MVD in human osteosarcoma. Also, it is well known that significant increased MVD and expression of VEGF are associated with poor prognosis in human osteosarcoma (32). Neoangiogenesis is considered essential for tumor growth and the development of metastases, as well as for the progression of invasive cancer. Because cancer cell proliferation may outpace the rate of angiogenesis, thus causing hypoxia, the adaptation of tumor cells to tissue hypoxia is known to be associated with resistance to chemotherapy, radiotherapy and poorer survival (3,5,33). Hypoxia-inducible factor-1{alpha} plays a key role in the cellular adaptation to hypoxia and the activation of several genes, e.g. transactivation of the VEGF gene that have been implicated in tumor growth (34). Zagzag et al. (35) demonstrated a correlation between HIF-1{alpha} overexpression and induction of angiogenesis in human brain tumors by assessment of the formation of blood vessels. This finding can be revealed that angiogenesis was promoted by HIF-1{alpha} induced expression of VEGF. Therefore, overexpression of HIF-1{alpha} may contribute to increased MVD and tumor progression.

HIF-1{alpha} has been suggested to be endogenous marker of tumor hypoxia (36), correlation of HIF-1{alpha} expression with treatment resistance and overall poor prognosis appeared to explain the prognostic implications of tumor hypoxia (21,27,35,37). Our statistical analysis revealed that HIF-1{alpha} expression is significantly correlated with surgical stage and percentage of dead cells, which have been reported as prognostic factors in osteosarcoma (38). Both surgical stage and percentage of dead cells are significant for DFS and OS in univariate analysis and multivariate analysis, whereas HIF-1{alpha} expression differed significantly in the univariate analysis, but not in the multivariate analysis for DFS and OS. This means that overexpression of HIF-1{alpha} has a significant influence on the prognosis, but is not the sole factor. This result is consistent with Guber's study in high-risk breast cancer (20). In univariate analysis, surgical treatment is significant for DFS but not for OS. This may explain why patients who have required amputation had higher stage and larger tumors compared with those patients who have had limb salvage, and hence local recurrence and distant metastases have occurred in patients with amputation.

In conclusion, HIF-1{alpha} was expressed in the majority of osteosarcomas. Overexpression of HIF-1{alpha} is predictive of a poor outcome, although its impact is less evident than surgical stage, percentage of dead cells and MVD. It is possible that HIF-1{alpha} could be a novel therapeutic target in human osteosarcoma in patients with amputation.


    Conflict of interest statement
 TOP
 Abstract
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Conflict of interest statement
 References
 
None declared.


    Acknowledgments
 
We thank Dr JiaQiang Ren for technical assistance with immunohistochemistry and Dr Xu Zhang, Tong Ji University, for the data statistics.


    References
 TOP
 Abstract
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 Conflict of interest statement
 References
 
1 Mankin HJ, Hornicek FJ, Rosenberg AE, Harmon DC, Gebhardt MC. (2004) Survival data for 648 patients with osteosarcoma treated at one institution. Clin Orthop Relat Res 429 286–91.

2 Wada T, Isu K, Takeda N, Usui M, Ishii S, Yamawaki S. (1996) A preliminary report of neoadjuvant chemotherapy NSH-7 study in osteosarcoma: preoperative salvage chemotherapy based on clinical tumor response and the use of granulocyte colony-stimulating factor. Oncology 53 221–7.[CrossRef][Web of Science][Medline]

3 Hockel M, Schlenger K, Mitze M, Schaffer U, Vaupel P. (1996) Hypoxia and radiation response in human tumors. Semin Radiat Oncol 6 3–9.[CrossRef][Web of Science][Medline]

4 Hockel M, Schlenger K, Aral B, Mitze M, Schaffer U, Vaupel P. (1996) Association between tumor hypoxia and malignant progression in advanced cancer of the uterine cervix. Cancer Res 56 4509–15.[Abstract/Free Full Text]

5 Moulder JE and Rockwell S. (1987) Tumor hypoxia: its impact on cancer therapy. Cancer Metastasis Rev 5 313–41.[CrossRef][Web of Science][Medline]

6 Durand RE and LePard NE. (1994) Modulation of tumor hypoxia by conventional chemotherapeutic agents. Int J Radiat Oncol Biol Phys 29 481–6.[Web of Science][Medline]

7 Dang CV and Semenza GL. (1999) Oncogenic alterations of metabolism. Trends Biochem Sci 24 68–72.[CrossRef][Web of Science][Medline]

8 Graeber TG, Osmanian C, Jacks T, Housman DE, Koch CJ, Lowe SW, et al. (1996) Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours. Nature 379 88–91.[CrossRef][Medline]

9 Buchler P, Reber HA, Lavey RS, Tomlinson J, Buchler MW, Friess H, et al. (2004) Tumor hypoxia correlates with metastatic tumor growth of pancreatic cancer in an orthotopic murine model. J Surg Res 120 295–303.[CrossRef][Web of Science][Medline]

10 Semenza GL. (1998) Hypoxia-inducible factor 1 and the molecular physiology of oxygen homeostasis. J Lab Clin Med 131 207–14.[CrossRef][Web of Science][Medline]

11 Semenza GL. (2000) Expression of hypoxia-inducible factor 1: mechanisms and consequences. Biochem Pharmacol 59 47–53.[CrossRef][Web of Science][Medline]

12 Jiang BH, Semenza GL, Bauer C, Marti HH. (1996) Hypoxia-inducible factor 1 levels vary exponentially over a physiologically relevant range of O2 tension. Am J Physiol 271.

13 Wang GL, Jiang BH, Rue EA, Semenza GL. (1995) Hypoxia-inducible factor 1 is a basic-helix-loop-helix-PAS heterodimer regulated by cellular O2 tension. Proc Natl Acad Sci USA 92 5510–4.[Abstract/Free Full Text]

14 Semenza GL. (1999) Regulation of mammalian O2 homeostasis by hypoxia-inducible factor 1. Annu Rev Cell Dev Biol 15 551–78.[CrossRef][Web of Science][Medline]

15 Kyzas PA, Stefanou D, Batistatou A, Agnantis NJ. (2005) Prognostic significance of VEGF immunohistochemical expression and tumor angiogenesis in head and neck squamous cell carcinoma. J Cancer Res Clin Oncol 1–7.

16 Shibaji T, Nagao M, Ikeda N, Kanehiro H, Hisanaga M, Ko S, et al. (2003) Prognostic significance of HIF-1{alpha} overexpression in human pancreatic cancer. Anticancer Res 23 4721–7.[Web of Science][Medline]

17 Schindl M, Schoppmann SF, Samonigg H, Hausmaninger H, Kwasny W, Gnant M, et al. (2002) Overexpression of hypoxia-inducible factor 1{alpha} is associated with an unfavorable prognosis in lymph node-positive breast cancer. Clin Cancer Res 8 1831–7.[Abstract/Free Full Text]

18 Birner P, Schindl M, Obermair A, Plank C, Breitenecker G, Oberhuber G. (2000) Overexpression of hypoxia-inducible factor 1{alpha} is a marker for an unfavorable prognosis in early-stage invasive cervical cancer. Cancer Res 60 4693–6.[Abstract/Free Full Text]

19 Buchler P, Reber HA, Buchler M, Shrinkante S, Buchler MW, Friess H, et al. (2003) Hypoxia-inducible factor 1 regulates vascular endothelial growth factor expression in human pancreatic cancer. Pancreas 26 56–64.[CrossRef][Web of Science][Medline]

20 Gruber G, Greiner RH, Hlushchuk R, Aebersold DM, Altermatt HJ, Berclaz G, et al. (2004) Hypoxia-inducible factor 1{alpha} in high-risk breast cancer: an independent prognostic parameter? Breast Cancer Res 6 R191–8.[CrossRef][Web of Science][Medline]

21 Birner P, Schindl M, Obermair A, Breitenecker G, Oberhuber G. (2001) Expression of hypoxia-inducible factor 1{alpha} in epithelial ovarian tumors: its impact on prognosis and on response to chemotherapy. Clin Cancer Res 7 1661–8.[Abstract/Free Full Text]

22 Haugland HK, Vukovic V, Pintilie M, Fyles AW, Milosevic M, Hill RP, et al. (2002) Expression of hypoxia-inducible factor-1{alpha} in cervical carcinomas: correlation with tumor oxygenation. Int J Radiat Oncol Biol Phys 53 854–61.[CrossRef][Web of Science][Medline]

23 Enneking WF, Spanier SS, Goodman MA. (1980) A system for the surgical staging of musculoskeletal sarcoma. Clin Orthop Relat Res 153 106–20.

24 Salzer-Kuntschik M, Delling G, Beron G, Sigmund R. (1983) Morphological grades of regression in osteosarcoma after polychemotherapy—study COSS 80. J Cancer Res Clin Oncol 106(Suppl), 21–4.[Web of Science][Medline]

25 Weidner N. (1995) Current pathologic methods for measuring intratumoral microvessel density within breast carcinoma and other solid tumors. Breast Cancer Res Treat 36 169–80.[CrossRef][Web of Science][Medline]

26 Birner P, Gatterbauer B, Oberhuber G, Schindl M, Rossler K, Prodinger A, et al. (2001) Expression of hypoxia-inducible factor-1{alpha} in oligodendrogliomas: its impact on prognosis and on neoangiogenesis. Cancer 92 165–71.[CrossRef][Web of Science][Medline]

27 Zhong H, De Marzo AM, Laughner E, Lim M, Hilton DA, Zagzag D, et al. (1999) Overexpression of hypoxia-inducible factor 1{alpha} in common human cancers and their metastases. Cancer Res 59 5830–5.[Abstract/Free Full Text]

28 Hui EP, Chan AT, Pezzella F, Turley H, To KF, Poon TC, et al. (2002) Coexpression of hypoxia-inducible factors 1{alpha} and 2{alpha}, carbonic anhydrase IX, and vascular endothelial growth factor in nasopharyngeal carcinoma and relationship to survival. Clin Cancer Res 8 2595–604.[Abstract/Free Full Text]

29 Na X, Wu G, Ryan CK, Schoen SR, di'Santagnese PA, Messing EM. (2003) Overproduction of vascular endothelial growth factor related to von Hippel–Lindau tumor suppressor gene mutations and hypoxia-inducible factor-1{alpha} expression in renal cell carcinomas. J Urol 170 588–92.[CrossRef][Web of Science][Medline]

30 Salnikow K, An WG, Melillo G, Blagosklonny MV, Costa M. (1999) Nickel-induced transformation shifts the balance between HIF-1 and p53 transcription factors. Carcinogenesis 20 1819–23.[Abstract/Free Full Text]

31 Guo HF, Gong K, Zou SM, Zhang ZW, Liu XY, Na X, et al. (2004) Somatic mutations of VHL gene and HIF-1{alpha} expression in primary renal clear cell carcinomas. Zhonghua Wai Ke Za Zhi 42 196–200 (In Chinese).[Medline]

32 Kaya M, Wada T, Akatsuka T, Kawaguchi S, Nagoya S, Shindoh M, et al. (2000) Vascular endothelial growth factor expression in untreated osteosarcoma is predictive of pulmonary metastasis and poor prognosis. Clin Cancer Res 6 572–7.[Abstract/Free Full Text]

33 Bochner BH, Cote RJ, Weidner N, Groshen S, Chen SC, Skinner DG, et al. (1995) Angiogenesis in bladder cancer: relationship between microvessel density and tumor prognosis. J Natl Cancer Inst 87 1603–12.[Abstract/Free Full Text]

34 Lin C, McGough R, Aswad B, Block JA, Terek R. (2004) Hypoxia induces HIF-1{alpha} and VEGF expression in chondrosarcoma cells and chondrocytes. J Orthop Res 22 1175–81.[CrossRef][Web of Science][Medline]

35 Zagzag D, Zhong H, Scalzitti JM, Laughner E, Simons JW, Semenza GL. (2000) Expression of hypoxia-inducible factor 1{alpha} in brain tumors: association with angiogenesis, invasion, and progression. Cancer 88 2606–18.[CrossRef][Web of Science][Medline]

36 Vukovic V, Haugland HK, Nicklee T, Morrison AJ, Hedley DW. (2001) Hypoxia-inducible factor-1{alpha} is an intrinsic marker for hypoxia in cervical cancer xenografts. Cancer Res 61 7394–8.[Abstract/Free Full Text]

37 Aebersold DM, Burri P, Beer KT, Laissue J, Djonov V, Greiner RH, et al. (2001) Expression of hypoxia-inducible factor-1{alpha}: a novel predictive and prognostic parameter in the radiotherapy of oropharyngeal cancer. Cancer Res 61 2911–6.[Abstract/Free Full Text]

38 Szendroi M, Papai Z, Koos R, Illes T. (2000) Limb-saving surgery, survival, and prognostic factors for osteosarcoma: the Hungarian experience. J Surg Oncol 73 87–94.[CrossRef][Web of Science][Medline]


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?



This Article
Right arrow Abstract Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
37/2/127    most recent
hyl137v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Request Permissions
Google Scholar
Right arrow Articles by Yang, Q.-C.
Right arrow Articles by Huang, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Yang, Q.-C.
Right arrow Articles by Huang, J.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?