Skip to main content
OncoTargets and Therapy logoLink to OncoTargets and Therapy
. 2014 Sep 11;7:1563–1569. doi: 10.2147/OTT.S65373

HIF1α is an independent prognostic factor for overall survival in advanced primary epithelial ovarian cancer – a study of the OVCAD Consortium

Elena Ioana Braicu 1,, Hrvoje Luketina 1, Rolf Richter 1, Dan Cacsire Castillo-Tong 2, Sandrina Lambrechts 4, Sven Mahner 5, Nicole Concin 6, Monika Mentze 1, Robert Zeillinger 2,3, Ignace Vergote 4, Jalid Sehouli 1
PMCID: PMC4166345  PMID: 25246800

Abstract

Purpose

Hypoxia is a common phenomenon encountered in solid cancers, leading to chemotherapy resistance and therefore to aggressiveness of the disease. The homeostatic response to hypoxia is mediated by hypoxiainducible factor-1 (HIF-1). The aim of this study was to investigate the impact of HIF1α in patients with primary epithelial ovarian cancer.

Methods

In this multicentric study, 275 patients with advanced primary epithelial ovarian cancer were included. All patients underwent cytoreductive surgery with maximal surgical effort and adjuvant platinum-based chemotherapy. HIF1α expression was analyzed in tissue lysates, using an enzyme-linked immunosorbent assay.

Results

HIF1α was detected in 79.3% of the tissue samples. Patients with increased HIF1α expression (cutoff: 80 pg/mg protein) in tumoral tissue lysates were more likely to have less favorable survival. HIF1α (P=0.009, hazard ratio [HR] 2.505, 95% confidence interval [95% CI] 1.252–5.013) together with International Federation of Gynecology and Obstetrics (III versus IV) (P=0.013, HR 0.540, 95% CI 0.332–0.878), histology (P=0.007, HR 2.748, 95% CI 1.315–5.743), presence of peritoneal carcinomatosis (P=0.014, HR 2.176, 95% CI 1.170–4.046), residual tumor mass (P=0.017, HR 1.641, 95% CI 1.091–2.468), and response to platinum-based chemotherapy (P<0.001, HR 8.131, 95% CI 5.13–12.88) were independent prognosis factors for overall survival. The independent prognostic factors for progression-free survival were International Federation of Gynecology and Obstetrics stage (P=0.01), histological subtypes (P=0.016), and presence of peritoneal carcinomatosis (P<0.05).

Conclusion

HIF1α overexpression in ovarian cancer is associated with poor overall survival, underlining the importance of hypoxia in this angiogenesis driven disease.

Keywords: HIF1α, surgical outcome, platinum response, survival, primary epithelial ovarian cancer, predictive factors

Introduction

Ovarian cancer is the leading cause of death from gynecological malignancies, with more than half of patients being diagnosed in the advanced stage. The overall 5-year survival rate is around 40% in International Federation of Gynecology and Obstetrics (FIGO) stages III/IV and 90% in FIGO stage I.1

The current standard of treatment for primary ovarian cancer is the combination of optimal cytoreductive surgery and platinum-based chemotherapy. Despite state of the art treatment, more than 50% of the patients will relapse and consequently die from this disease.2 A curative approach is only possible in the primary situation. The aim of targeted therapy is to prolong the tumor-free status achieved after the primary treatment. Recent data showed that some antiangiogenic therapies, eg, bevacizumab, are able to prolong progression-free survival, thus no improvement in overall survival has been shown yet.3,4 There is an urgent need to identify new targets, and also biomarkers able to predict platinum response.

No macroscopic residual tumor mass after cytoreductive surgery is one of the major prognostic and predictive factors. Despite radical surgery, maximal tumor reduction cannot always be achieved. A neoadjuvant approach could have a benefit in this subgroup of patients, although data are controversial.58 Nevertheless, there are no effective biomarkers to predict surgical outcome in primary ovarian cancer patients.

HIF1α has been reported to be an important predictor of tumor progression for several types of solid cancers.913 HIF1α is a major regulator of cell adaptation to hypoxic stress and plays a critical role in oncogenesis and angiogenesis.14 This protein regulates the transcription of a number of genes involved in diverse biological functions such as proliferation, migration, invasion, apoptosis, and angiogenesis.

Immunohistochemical analysis of human cancer biopsies has shown that HIF1α is overexpressed in several solid malignancies, including breast, colon, lung, gastric, skin, and renal carcinomas, compared with their respective normal tissues.15,16

Like other tumors, overexpression of HIF1α has been detected in epithelial ovarian cancer.15 Data regarding the clinical impact of HIF1α in ovarian cancer is still limited. Although HIF1α is detected in all epithelial ovarian cancer histological subtypes, higher HIF1α expression in clear-cell carcinomas has been reported.17,18

The role of HIF1α in the development of new targeted therapies has been suggested by recent studies.19,20 Nakai et al stated that HIF1α-expressing tumors had a significantly higher response rate to postoperative platinum-based chemotherapy than tumors without HIF1α expression.21

However, the prognostic significance of HIF1α overexpression in ovarian cancer is still controversial.2124 Until now, only limited data exist regarding the HIF1α predictive value in epithelial ovarian cancer.

The aim of this study was to investigate the impact of HIF1α expression in predicting surgical outcome, platinum response, and survival in patients with advanced primary epithelial ovarian cancer.

Patients and methods

This analysis was performed within the Sixth Framework Program European project “Ovarian Cancer – Diagnosis of a Silent Killer” (OVCAD). At five comprehensive centers for ovarian cancer treatment, 275 patients with advanced primary epithelial ovarian cancer (FIGO stage II–IV) were enrolled.

All patients gave their written informed consent before tissue samples were collected. Patients were recruited from 2005–2008 in the Department of Gynecology at Charité – Medical University Berlin (Berlin, Germany), Department of Gynecologic Oncology, University Hospital Leuven (Leuven, Belgium), Department of Obstetrics and Gynecology, Medical University of Vienna (Vienna, Austria), Department of Gynecology, University Medical Center Hamburg- Eppendorf (Hamburg, Germany), and Department of Gynecology and Obstetrics, Innsbruck Medical University (Innsbruck, Austria). This study was approved by each local ethics committee (EK207/2003, ML2524, HEK190504, EK366, and EK260).

Only patients with histologically confirmed ovarian cancer were included in the study. Due to better prognosis and sometimes different therapy strategies, FIGO stage I patients were excluded. All patients underwent cytoreductive surgery with maximal surgical effort and platinum-based chemotherapy. Inclusion and exclusion criteria for the study were reported in a recent publication.25 An online database was used for the documentation of clinical, histopathological, and follow-up data. Residual tumor load was defined as negative if macroscopically absent. Overall survival was defined as the time from diagnosis of ovarian cancer to tumor-related death or last contact. Progression-free survival was defined as the interval from diagnosis to progression of disease or death, whereby progression was defined as an increase in the nadir serum CA-125 level of at least two samples according to the Gynecological Cancer Intergroup criteria or radiological diagnosis according to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria.

Documentation of clinical data

The tumor spread within the abdominal cavity was documented prospectively using the Intraoperative Mapping of Ovarian cancer – “IMO” tool.26 The documentation of residual tumor mass was also assessed prospectively at the end of the surgery with an interview with the main surgeon. All data were documented in a validated online database.

The FIGO 2006 classification was used for clinical staging, and the Gynecologic Oncology Group criteria were used for histologic grading.27 Response to treatment and diagnosis of recurrence was determined according to RECIST criteria or according to CA-125 variations (Gynecological Cancer Intergroup criteria) during follow-up.27,28

Response to first-line chemotherapy was defined according to the last time patients received platinum-based compounds. Patients developing relapse within the first 6 months after platinum based chemotherapy were classified as platinum-resistant; patients developing relapse after 6 months or more were classified as responders.29

Collection of tumor tissue

Tumor tissue was removed from the patients during surgery and prior to chemotherapy treatment. Samples were snap frozen and stored in liquid nitrogen. At a later time, the tissue was processed to obtain lysate for protein measurement.

About 30 mg tumor tissue was homogenized with a Mikro-Dismembrator and lysed in 1 mL Nucleic Acid Purification Lysis Solution (Thermo Fisher Scientific, Waltham, MA, USA).

HIF1α enzyme-linked immunosorbent assay (ELISA)

HIF1α expression in tissue lysates was measured using the HIF1α ELISA kit (R&D Systems, Inc., Minneapolis, MN, USA) according to the manufacturer’s protocol. The assay was performed in duplicate for the calibrators, controls, and patient samples. The appropriate controls were within the ranges provided by the manufacturer.

Statistical analysis

The clinical data were collected and entered in an online database. The statistical analysis was performed using IBM® SPSS® Statistics 21.0 (IBM Corporation, Armonk, NY, USA) at Charité – Medical University Berlin.

The prognostic factors used in the survival analysis were as follows: age at first diagnosis, FIGO stage, histological subtype, histological grade, presence and volume of ascites, residual tumor mass after surgery, peritoneal dissemination, and responses to platinum-based chemotherapy.

Kruskal–Wallis test, Spearman’s rank correlation, Kendall’s tau, and Mann–Whitney U test were used to assess the associations between HIF1α and other variables.

Receiver operating characteristic curve analysis was performed to evaluate the predictive accuracy of HIF1α expression for discriminating patients with maximal versus suboptimal residual tumor mass after surgery and platinum responders versus nonresponders.

Median survival and 95% confidence intervals (95% CI) were estimated according to the Kaplan–Meier method. The log-rank tests were used for univariate statistical comparisons and the Cox proportional hazard model was used to evaluate significant predictors of survival. Adjusted hazard ratios (HR) and 95% CI for prognostic factors were calculated. A two-tailed P-value <0.05 was considered statistically significant.

Results

Baseline characteristics

Most of the patients (86.2%) were diagnosed with serous ovarian cancer. Optimal debulking, ie, no evidence of macroscopic tumor residuals, was reported in more than 60% of the patients. Patients’ characteristics are presented in Table 1, and are reported in greater detail elsewhere.25

Table 1.

Patient’s clinical and pathologic characteristics

Parameter Primary ovary cancer
Ovarian cancer samples included to the multicenter study, n (%) 275 (100.0)
Age at time of diagnosis, median (range), years 58 (18–85)
Histological type, n (%)
 Serous 237 (86.2)
 Endometrioid 13 (4.7)
 Mixed/others* 25 (9.1)
Tumor stage, n (%)
 FIGO II 15 (5.4)
 FIGO III 212 (77.1)
 FIGO IV 48 (17.5)
Lymph node status, n (%)
 N0 65 (23.6)
 N1 143 (52)
 Nx 67 (24.4)
Distant metastatic spread, n (%)
 M0 142 (51.6)
 M1 49 (17.8)
 Mx 84 (30.5)
Grading, n (%)
 Well differentiated 10 (3.6)
 Moderately differentiated 64 (23.3)
 Poorly differentiated 200 (72.7)
 Unknown 1 (0.4)
CA-125 level, n (%) 258 (93.8)
 Preoperatively, median (range), U/mL 1,500.24 (7–37,820)
Ascites volume, n (%)
 None 66 (24)
 ≤500 mL 110 (40)
 >500 mL 100 (36)
Peritoneal carcinomatosis, n (%)
 Yes 186 (67.6)
 No 89 (32.4)
Postoperative residual tumor mass, n (%)
 Macroscopic tumor free 188 (68.4)
 ≤1 cm 48 (17.5)
 >1 cm 38 (13.8)
 Missing 1 (0.4)

Note:

*

Eleven mixed, nine undifferentiated, and two clear-cell carcinomas.

Abbreviation: FIGO, International Federation of Gynecology and Obstetrics.

Expression of HIF1α

Expression of HIF1α was confirmed in 218 (79.3%) patients. No expression of HIF1α was observed in 57 tissue samples (20.7%). The median HIF1α expression was 56.8 (range 0–1,492.31) pg/mg protein.

Correlation with classical prognostic factors

No statistically significant association between HIF1α expression and clinical prognostic factors such as age (P=0.238), volume of ascites (P=0.866), FIGO stage (P=0.0896), and grading (P=0.152) was found.

Levels of HIF1α were higher in patients presenting peritoneal carcinomatosis and mucinous and mixed histology, although this correlation retained no statistical significance (P=0.065 and P=0.071, respectively).

There was no correlation between HIF1α and residual tumor mass after cytoreductive surgery (P=0.342, area under the curve 0.555, 95% CI 0.471–0.639) or response to platinum-based chemotherapy (P=1, area under the curve 0.499, 95% CI 0.413–0.586) (Table 2).

Table 2.

Correlation with clinical prognostic factors

Clinical parameters HIF1α median (pg/mg protein) P-value
FIGO stage
 FIGO stage II 36.9 0.896
 FIGO stage III 35.7
 FIGO stage IV 34.6
Histology
 Serous 34.8 0.071
 Endometrioid 33.4
 Mixed 77.1
 Mucinous 19.9
Grading
 G1 53.4 0.152
 G2–G3 35.1
Platinum response
 Responder 35.1 1
 Nonresponder 35.7
Peritoneal carcinomatosis
 Present 38 0.065
 Absent 30
Ascites
 Absent 34.5 0.914
 ≤500 mL 35.1
 >500 mL 37.1
Residual tumor mass
 Absent 33.3 0.342
 Present 41.5

Abbreviation: FIGO, International Federation of Gynecology and Obstetrics.

Survival analysis

The median follow-up time for patients was 37 months, ranging from 1–69 months; 194 patients developed recurrent disease and 134 patients died from ovarian cancer.

In order to analyze the role of HIF1α for survival, the lower and upper quintiles were used as cutoff values. Using the cutoff values of 15 pg/mg protein and 80 pg/mg protein, it could be shown that patients presenting HIF1α tissue concentrations higher than 80 pg/mg protein would have a shorter overall survival, although this association was not significant within the univariate analysis. When multivariate analysis was performed, HIF1α concentrations over 80 pg/mg protein remained an independent prognostic biomarker for overall survival (P=0.009, HR 2.505, 95% CI 1.252–5.013) (Figure 1) together with FIGO (III versus IV) (P=0.013, HR 0.540, 95% CI 0.332–0.878), histology (mixed versus serous versus endometrioid) (P=0.007, HR 2.748, 95% CI 1.315–5.743), presence of peritoneal carcinomatosis (P=0.014, HR 2.176, 95% CI 1.170–4.046), residual tumor mass (present versus absent macroscopically) (P=0.017, HR 1.641, 95% CI 1.091–2.468), and response to platinum-based chemotherapy (P<0.001, HR 8.131, 95% CI 5.13–12.88).

Figure 1.

Figure 1

HIF1α expression and overall survival (P=0.009, hazard ratio 2.505, 95% confidence interval 1.252–5.013).

FIGO stage (P=0.001, HR 0.478, 95% CI 0.314–0.726), presence of peritoneal carcinomatosis (P<0.001, HR 2.620, 95% CI 1.704–4.027), and histology (P=0.021, HR 2.306, 95% CI 1.137–4.677) were the only independent predictive factors for progression-free survival.

Discussion

This study analyzed the role of HIF1α in primary ovarian cancer. The results showed that patients having tumors that overexpress HIF1α transcription factor (cutoff 80 pg/mg protein) are presenting a poorer prognosis.

One of the major bottlenecks in ovarian cancer management is the development of platinum resistance with subsequently increased mortality. The development of new targeted, especially antiangiogenic, drugs has translated into prolonged progression-free survival without evidence of a positive impact on overall survival. The inhibition of neoangiogenesis in ovarian cancer leads to a certain hypoxia of the tumoral cells, and therefore increases apoptosis of tumoral cells. There are no in sufficient data to show a benefit in overall survival for patients being treated with antiangiogenic drugs. This might be caused by the capability of tumor cells to resist even hypoxic conditions.

One of the mechanisms of chemotherapy resistance in solid tumors is the ability to develop a microenvironment caused by a poor and inefficient vascular supply.30 The presence of hypoxia has been shown to be a marker for poor prognosis in many cancer types. The resistance to conventional chemotherapeutical drugs is caused by hypoxia-induced reduction in cell proliferation and also by the fact that hypoxic tumor cells reside some distance from the blood vessels, and therefore the drugs won’t be able to reach their target.31,32 The homeostatic response to hypoxia is mediated by the transcription factor HIF1α, which is unstable in well-oxygenated tissue but becomes stable under hypoxic conditions.33 Due to hypoxic conditions in tumoral tissue, as described previously, HIF1α is an important mediator for tumor invasion, metastasis, and chemotherapy resistance.34

This study showed that HIF1α expression was independent of FIGO stage, age, and grading. Mucinous and mixed epithelial carcinomas showed increased levels of HIF1α, although this association didn’t reach statistical significance. Previously published data showed that clear-cell carcinomas exhibit higher HIF1α levels than serous, mucinous, or endometrioid tumors.35,36 Other studies suggest that HIF1α might be overexpressed in serous ovarian cancer.24 The difference in the current results could be caused by low numbers of well-differentiated (3.6%) and non-serous ovarian cancer patients included within the OVCAD study. More than that, differences in ethnicity might cause differences in the molecular biology of ovarian cancer. It is well known that clear-cell ovarian cancer is more often encountered in Asian women compared to Caucasian women, and the clinical course of the disease is different. Clinical studies showed that chemotherapy or targeted therapy drugs are associated with different response rates and adverse effects in Caucasian and Asian populations.37

Results similar to the current study were published by Nakayama et al, who reported that HIF1α levels were independent of clinical stage, age and histological subtypes.38 HIF1α expression was reported to be significantly stronger in good differentiated ovarian cancer.17 The current results showed no significant correlation between HIF1α tissue expression and histological grading, which might be explained by the low number of well-differentiated (G1) ovarian cancers included in this study. There was also no significant influence of HIF1α expression on response to platinum-based chemotherapy, this being in accordance with some existing results.17 However, Nakai et al reported that tumors expressing higher HIF1α more likely respond to platinum-based chemotherapy compared with tumors with no or poor HIF1α expression.21 The current study analyzed the expression of HIF1α in 275 patients with FIGO stage II–IV, but Nakai et al’s study only included 52 stage III–IV epithelial ovarian cancer patients.

HIF1α increased tissue values were associated with shorter progression-free survival, but this was not statistically significant, which agrees with recent studies.22,23 Daponte et al observed that the median progression-free survival of HIF1α-positive patients was shorter, but not statistically significant.22 In lung and colorectal carcinomas, HIF1α had no impact on patient survival, but overexpression of HIF2α was a prognostic indicator.39,40 In ovarian carcinomas, Birner et al showed that HIF1α overexpression alone was not a prognostic indicator and became a strong prognostic marker in combination with functional p53 protein.17

Conclusion

The current study showed that HIF1α tissue expression might impact the overall survival in primary ovarian cancer patients treated by cytoreductive surgery and platinum-based chemotherapy. No correlation between HIF1α tissue expression and platinum response and no significant statistical difference between HIF1α expression in different histological subtypes was found. Further studies analyzing the role of this transcriptional factor in a larger prospective cohort of patients are warranted. Studies analyzing the HIF1α distribution within tumor tissue using immunochemistry are needed.

Drugs interfering with the HIF1α pathway, such as ganetespib,41 are currently under evaluation in clinical studies. Targeting HIF1α might be a way to improve survival in ovarian cancer patients.

Acknowledgments

Elena Ioana Braicu is a participant in the Charité Clinical Scientist Program funded by Charité – Universitätsmedizin Berlin and the Berlin Institute of Health.

The OVCAD project was funded by the European commission as FP6 Specific Targeted Research and Innovation Project (contract no 018698).

Footnotes

Disclosure

The authors report no conflicts of interest in this work.

References

  • 1.Ferlay J, Parkin DM, Steliarova-Foucher E. Estimates of cancer incidence and mortality in Europe in 2008. Eur J Cancer. 2010;46(4):765–781. doi: 10.1016/j.ejca.2009.12.014. [DOI] [PubMed] [Google Scholar]
  • 2.Gilks CB, Prat J. Ovarian carcinoma pathology and genetics: recent advances. Hum Pathol. 2009;40(9):1213–1223. doi: 10.1016/j.humpath.2009.04.017. [DOI] [PubMed] [Google Scholar]
  • 3.du Bois A, Floquet A, Kim JW, et al. Randomized, double-blind, Phase III trial of pazopanib versus placebo in women who have not progressed after first-line chemotherapy for advanced epithelial ovarian, fallopian tube, or primary peritoneal cancer (AEOC): results of an international Intergroup trial (AGO-OVAR16). Abstracts of the 2013 ASCO Annual Meeting; May 31–June 4, 2013; Chicago, IL, USA. Abstract 5503. [Google Scholar]
  • 4.Monk BJ, Dalton H, Farley JH, Chase DM, Benjamin I. Antiangiogenic agents as a maintenance strategy for advanced epithelial ovarian cancer. Crit Rev Oncol Hematol. 2013;86(2):161–175. doi: 10.1016/j.critrevonc.2012.09.012. [DOI] [PubMed] [Google Scholar]
  • 5.Vergote I, Tropé CG, Amant F, et al. Neoadjuvant chemotherapy or primary surgery in stage IIIC or IV ovarian cancer. N Engl J Med. 2010;363(10):943–953. doi: 10.1056/NEJMoa0908806. [DOI] [PubMed] [Google Scholar]
  • 6.du Bois A, Marth C, Pfisterer J, et al. Neoadjuvant chemotherapy cannot be regarded as adequate routine therapy strategy of advanced ovarian cancer. Int J Gynecol Cancer. 2012;22(2):182–185. doi: 10.1097/IGC.0b013e31821d419a. [DOI] [PubMed] [Google Scholar]
  • 7.Kehoe S, Hook J, Nankivell M, et al. Chemotherapy or upfront surgery for newly diagnosed advanced ovarian cancer: results from the MRC CHORUS trial; Abstracts of the 2013 ASCO Annual Meeting; May 31–June 4, 2013; Chicago, IL, USA. Abstract 5500. [Google Scholar]
  • 8.Sehouli J, Savvatis K, Braicu EI, Schmidt SC, Lichtenegger W, Fotopoulou C. Primary versus interval debulking surgery in advanced ovarian cancer: results from a systematic single-center analysis. Int J Gynecol Cancer. 2010;20(8):1331–1340. doi: 10.1111/IGC.0b013e3181f15714. [DOI] [PubMed] [Google Scholar]
  • 9.Gruber G, Greiner RH, Hlushchuk R, et al. Hypoxia-inducible factor 1α in high-risk breast cancer: an independent prognostic parameter? Breast Cancer Res. 2004;6(3):R191–R198. doi: 10.1186/bcr775. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Kurokawa T, Miyamoto M, Kato K, et al. Overexpression of hypoxia-inducible-factor 1α (HIF-1α) in oesophageal squamous cell carcinoma correlates with lymph node metastasis and pathologic stage. Br J Cancer. 2003;89(6):1042–1047. doi: 10.1038/sj.bjc.6601186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lidgren A, Hedberg Y, Grankvist K, Rasmuson T, Vasko J, Ljungberg B. The expression of hypoxia-inducible factor 1α is a favorable independent prognostic factor in renal cell carcinoma. Clin Cancer Res. 2005;11(3):1129–1135. [PubMed] [Google Scholar]
  • 12.Swinson DE, Jones JL, Cox G, Richardson D, Harris AL, O’Byrne KJ. Hypoxia-inducible factor-1α in non-small-cell lung cancer: relation to growth factor, protease and apoptosis pathways. Int J Cancer. 2004;111(1):43–50. doi: 10.1002/ijc.20052. [DOI] [PubMed] [Google Scholar]
  • 13.Fillies T, Werkmeister R, van Diest PJ, Brandt B, Joos U, Buerger H. HIF1-α overexpression indicates a good prognosis in early stage squamous cell carcinomas of the oral floor. BMC Cancer. 2005;5:84. doi: 10.1186/1471-2407-5-84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lu X, Kang Y. Hypoxia and hypoxia-inducible factors: master regulators of metastasis. Clin Cancer Res. 2010;16(24):5928–5935. doi: 10.1158/1078-0432.CCR-10-1360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhong H, De Marzo AM, Laughner E, et al. Overexpression of hypoxia-inducible factor 1α in common human cancers and their metastases. Cancer Res. 1999;59(22):5830–5835. [PubMed] [Google Scholar]
  • 16.Talks KL, Turley H, Gatter KC, et al. The expression and distribution of the hypoxia-inducible factors HIF-1α and HIF-2α in normal human tissues, cancers, and tumor-associated macrophages. Am J Pathol. 2000;157(2):411–421. doi: 10.1016/s0002-9440(10)64554-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Birner P, Schindl M, Obermair A, Breitenecker G, Oberhuber G. Expression of hypoxia-inducible factor 1α in epithelial ovarian tumors: its impact on prognosis and on response to chemotherapy. Clin Cancer Res. 2001;7(6):1661–1668. [PubMed] [Google Scholar]
  • 18.Miyazawa M, Yasuda M, Fujita M, et al. Association of hypoxia-inducible factor-1 expression with histology in epithelial ovarian tumors: a quantitative analysis of HIF-1. Arch Gynecol Obstet. 2009;279(6):789–796. doi: 10.1007/s00404-008-0816-z. [DOI] [PubMed] [Google Scholar]
  • 19.Anglesio MS, George J, Kulbe H, et al. IL6–STAT3–HIF signaling and therapeutic response to the angiogenesis inhibitor sunitinib in ovarian clear-cell cancer. Clin Cancer Res. 2011;17(8):2538–2548. doi: 10.1158/1078-0432.CCR-10-3314. [DOI] [PubMed] [Google Scholar]
  • 20.Yamaguchi K, Mandai M, Oura T, et al. Identification of an ovarian clear-cell carcinoma gene signature that reflects inherent disease biology and the carcinogenic processes. Oncogene. 2010;29(12):1741–1752. doi: 10.1038/onc.2009.470. [DOI] [PubMed] [Google Scholar]
  • 21.Nakai H, Watanabe Y, Ueda H, Hoshiai H. Hypoxia inducible factor 1-α expression as a factor predictive of efficacy of taxane/platinum chemotherapy in advanced primary epithelial ovarian cancer. Cancer Lett. 2007;251(1):164–167. doi: 10.1016/j.canlet.2006.11.017. [DOI] [PubMed] [Google Scholar]
  • 22.Daponte A, Ioannou M, Mylonis I, et al. Prognostic significance of hypoxia-inducible factor 1α (HIF-1α) expression in serous ovarian cancer: an immunohistochemical study. BMC Cancer. 2008;8:335. doi: 10.1186/1471-2407-8-335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Seeber LM, Horree N, Vooijs MA, et al. The role of hypoxia inducible factor-1α in gynecological cancer. Crit Rev Oncol Hematol. 2011;78(3):173–184. doi: 10.1016/j.critrevonc.2010.05.003. [DOI] [PubMed] [Google Scholar]
  • 24.Osada R, Horiuchi A, Kikuchi N, et al. Expression of hypoxia-inducible factor 1α, hypoxia-inducible factor 2α, and von Hippel-Lindau protein in epithelial ovarian neoplasms and allelic loss of von Hippel-Lindau gene: nuclear expression of hypoxia-inducible factor 1α is an independent prognostic factor in ovarian carcinoma. Hum Pathol. 2007;38(9):1310–1320. doi: 10.1016/j.humpath.2007.02.010. [DOI] [PubMed] [Google Scholar]
  • 25.Chekerov R, Braicu I, Castillo-Tong DC, et al. Outcome and clinical management of 275 patients with advanced ovarian cancer International Federation of Obstetrics and Gynecology II to IV inside the European Ovarian Cancer Translational Research Consortium-OVCAD. Int J Gynecol Cancer. 2013;23(2):268–275. doi: 10.1097/IGC.0b013e31827de6b9. [DOI] [PubMed] [Google Scholar]
  • 26.Sehouli J, Könsgen D, Mustea A, et al. “IMO” – intraoperative mapping of ovarian cancer. Zentralbl Gynakol. 2003;125(3–4):129–135. doi: 10.1055/s-2003-41864. German. [DOI] [PubMed] [Google Scholar]
  • 27.Rustin GJ, Vergote I, Eisenhauer E, et al. Definitions for response and progression in ovarian cancer clinical trials incorporating RECIST 1.1 and CA 125 agreed by the Gynecological Cancer Intergroup (GCIG) Int J Gynecol Cancer. 2011;21(2):419–423. doi: 10.1097/IGC.0b013e3182070f17. [DOI] [PubMed] [Google Scholar]
  • 28.Therasse P, Arbuck SG, Eisenhauer EA, et al. New guidelines to evaluate the response to treatment in solid tumors. J Natl Cancer Inst. 2000;92(3):205–216. doi: 10.1093/jnci/92.3.205. [DOI] [PubMed] [Google Scholar]
  • 29.Friedlander M, Butow P, Stockler M, et al. Symptom control in patients with recurrent ovarian cancer: measuring the benefit of palliative chemotherapy in women with platinum refractory/resistant ovarian cancer. Int J Gynecol Cancer. 2009;19(Suppl 2):S44–S48. doi: 10.1111/IGC.0b013e3181bf7fb8. [DOI] [PubMed] [Google Scholar]
  • 30.Vaupel P, Kelleher DK. Blood flow and oxygenation status of prostate cancers. Adv Exp Med Biol. 2013;765:299–305. doi: 10.1007/978-1-4614-4989-8_42. [DOI] [PubMed] [Google Scholar]
  • 31.Chen Y, Zhang L, Pan Y, Ren X, Hao Q. Over-expression of semaphorin4D, hypoxia-inducible factor-1α; and vascular endothelial growth factor is related to poor prognosis in ovarian epithelial cancer. Int J Mol Sci. 2012;13(10):13264–13274. doi: 10.3390/ijms131013264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shannon AM, Bouchier-Hayes DJ, Condron CM, Toomey D. Tumour hypoxia, chemotherapeutic resistance, and hypoxia-related therapies. Cancer Treat Rev. 2003;29(4):297–307. doi: 10.1016/s0305-7372(03)00003-3. [DOI] [PubMed] [Google Scholar]
  • 33.Zhang JJ, Wu HS, Wang L, Tian Y, Zhang JH, Wu HL. Expression and significnace of TLR4 and HIF1α in pancreatic ductal adenocarcinoma. World J Gastroenterol. 2010;16(23):2881–2888. doi: 10.3748/wjg.v16.i23.2881. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Shi CY, Fan Y, Liu B, Lou WH. HIF1 contributes to hypoxia-induced pancreatic cancer cells invasion via promoting QSOX1 expression. Cell Physiol Biochem. 2013;32(3):561–568. doi: 10.1159/000354460. [DOI] [PubMed] [Google Scholar]
  • 35.Cheng JC, Klausen C, Leung PC. Hypoxia-inducible factor 1α mediates epidermal growth factor-induced down-regulation of E-cadherin expression and cell invasion in human ovarian cancer cells. Cancer Lett. 2013;329(2):197–206. doi: 10.1016/j.canlet.2012.10.029. [DOI] [PubMed] [Google Scholar]
  • 36.Lee S, Garner EI, Welch WR, Berkowitz RS, Mok SC. Over-expression of hypoxia-inducible factor 1α in ovarian clear-cell carcinoma. Gynecol Oncol. 2007;106(2):311–317. doi: 10.1016/j.ygyno.2007.03.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Tam KF, Chan YM, Ng TY, Wong LC, Ngan HY. Ethnicity is a factor to be considered before dose planning in ovarian cancer patients to be treated with topotecan. Int J Gynecol Cancer. 2006;16(1):135–139. doi: 10.1111/j.1525-1438.2006.00295.x. [DOI] [PubMed] [Google Scholar]
  • 38.Nakayama K, Kanzaki A, Hata K, et al. Hypoxia-inducible factor 1α (HIF-1α) gene expression in human ovarian carcinoma. Cancer Lett. 2002;176(2):215–223. doi: 10.1016/s0304-3835(01)00762-5. [DOI] [PubMed] [Google Scholar]
  • 39.Giatromanolaki A, Koukourakis MI, Sivridis E, et al. Relation of hypoxia inducible factor 1α and 2α in operable non-small-cell lung cancer to angiogenic/molecular profile of tumours and survival. Br J Cancer. 2001;85(6):881–890. doi: 10.1054/bjoc.2001.2018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yoshimura H, Dhar DK, Kohno H, et al. Prognostic impact of hypoxia-inducible factors 1α and 2α in colorectal cancer patients: correlation with tumor angiogenesis and cyclooxygenase-2 expression. Clin Cancer Res. 2004;10(24):8554–8560. doi: 10.1158/1078-0432.CCR-0946-03. [DOI] [PubMed] [Google Scholar]
  • 41.Xiang L, Gilkes DM, Chaturvedi P, et al. Ganetespib blocks HIF-1 activity and inhibits tumor growth, vascularization, stem cell maintenance, invasion, and metastasis in orthotopic mouse models of triple-negative breast cancer. J Mol Med (Berl) 2014;92(2):151–164. doi: 10.1007/s00109-013-1102-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from OncoTargets and therapy are provided here courtesy of Dove Press

RESOURCES