Abstract
Hypoxia-inducible factor (HIF)-1 is a transcription factor that allows cells to adapt to hypoxic situations. HIF-1 is known to control tissue proliferation, antiapoptosis, angiogenesis and glucose metabolism. Furthermore, HIF-1 is involved in the growth of numerous cancer types. The present study aimed to examine the expression of HIF-1α immunohistochemically in resected lung cancers. The present study included 216 consecutive patients with lung cancer who underwent resection between April 2013 and January 2015. The patients' clinicopathological data were summarized, including imaging findings, tumor pathological characteristics, and the patient's age, sex and smoking status. The intratumoral expression of HIF-1α, survivin, c-Myc and the Ki-67 proliferation index were evaluated immunohistochemically. The patients were divided into two groups, according to the expression of HIF-1α (low vs. high) and the clinicopathological characteristics of these groups were compared. It was revealed that HIF-1α expression was significantly associated with ground glass opacity ratio, maximum standardized uptake value index, histological type (squamous cell carcinoma), differentiation and lymphatic invasion. Regarding the immunohistochemical findings, HIF-1α expression was significantly correlated with the expression levels of c-Myc (P<0.01) and survivin (P<0.01). Furthermore, the Ki-67 proliferation index was significantly higher in high-HIF-1α tumors compared with in low-HIF-1α tumors (P=0.01). The multivariate analysis identified squamous cell carcinoma, high SUVmax and lymphatic invasion as significant and independent factors for high HIF-1α expression. In conclusion, HIF-1 was highly expressed in certain subgroups of lung cancer with specific histopathology and images. HIF-1α expression was associated with tumor proliferation and antiapoptosis in lung cancer.
Keywords: lung cancer, hypoxia-inducible factor-1α, immunohistochemistry, survivin, c-Myc
Introduction
Oxygen is essential for aerobic organisms and a lack of oxygen results in considerable stresses to these organisms. Cells have a variety of hypoxia response mechanisms to counter hypoxic stress. The gene, hypoxia-inducible factor (HIF)-1, serves an important role in many of these mechanisms (1–7). The HIF-1 protein is a complex of HIF-1α and HIF-1β. HIF-1β is present constitutively within the cell nucleus. By contrast, HIF-1α is present in the cytoplasm under normoxic conditions, and it promptly binds to the von Hippel-Lindau (VHL) protein and is decomposed by the ubiquitin proteasome system. In hypoxic conditions, HIF-1α is unable to bind to the VHL protein in the cytoplasm, escapes decomposition and enters the nucleus. In the nucleus, it combines with HIF-1β to form the HIF-1 complex, which binds to DNA and acts as a transcription factor. HIF-1 assists in the activation of genes involved in angiogenesis, glycolysis, tumor proliferation and other associated pathways (1–7).
Solid cancers generally grow very rapidly and these tumors often face a shortage of oxygen since tumor angiogenesis is slower than growth. Therefore, numerous cancer types use the HIF-1 complex to adapt to hypoxia (1–3). A previous study reported that HIF-1α expression was associated with tumor proliferation, antiapoptosis, angiogenesis, glycolysis and patient prognosis (4–7).
Few studies have examined HIF-1α expression in surgically resected lung cancer (8,9). Accordingly, the present study decided to perform a comprehensive clinicopathological study of the intratumoral expression of HIF-1α in resected lung cancers, investigating the associations between HIF-1α expression, other tumor malignancy indicators [survivin (10–15) and c-Myc (16–18)] and the clinicopathological features of the patients.
Patients and methods
Patients
The present study included 216 consecutive patients with lung cancer who underwent a pulmonary resection at Tokyo Medical and Dental University Hospital (Tokyo, Japan) between April 2013 and January 2015. The histological tumor classification was based on the 7th lung cancer tumor node metastasis classification and the staging system proposed by the International Union Against Cancer (19). The clinical records and histological examination results of all patients were fully documented. High-resolution computed tomography was performed in all patients within 1 month prior to resection. The ground glass opacity (GGO) ratio was calculated in a lung window using the following formula: (1 - solid tumor size / GGO size) ×100. Positron emission tomography was performed in 176 patients (82.2%) and the maximum standardized uptake value (SUVmax) of the tumor was measured in these patients. Patients who received chemotherapy or radiotherapy prior to resection were excluded. The study was approved by the Ethics Committee of Tokyo Medical and Dental University Hospital and informed consent was obtained from each patient.
Immunohistochemical analysis
The antibodies used for immunohistochemical analysis were mouse monoclonal anti-Ki-67 (MIB-1; cat. no. M7240; Dako Denmark A/S, Glostrup, Denmark; 1:100), mouse monoclonal anti-survivin (D-8; cat. no. sc-17779; Santa Cruz Biotechnology, Inc., Santa Cruz, CA, USA; 1:50), mouse monoclonal anti-c-Myc (9E10; cat. no. sc-40; Santa Cruz Biotechnology, Inc.; 1:100) and mouse monoclonal anti-HIF-1α (H1 alpha 67; cat. no. NB100-105; Novus Biologicals, Littleton, CO, USA; 1:50). Formalin-fixed paraffin-embedded tissues were cut into 4 µm sections and mounted onto coated slides. Following deparaffinization and rehydration, the slides were heated in a microwave (10 min for Ki-67, 25 min for survivin, 5 min for c-Myc and 30 min for HIF-1α) in a citrate buffer solution (10 µmol/l) at pH 6.0. After quenching the endogenous peroxidase activity with 0.3% H2O2 for 30 min, the sections were treated with 5% bovine serum albumin (Sigma-Aldrich, St. Louis, MO, USA). Duplicate sections were incubated overnight with the corresponding primary antibody. The sections were subsequently incubated with the avidin-biotin-peroxidase complex (Vector Laboratories, Burlingame, CA, USA) for 30 min and antibody binding was visualized with 3,3′-diaminobenzine tetrahydrochloride. The tissue sections were counterstained with Mayer's hematoxylin.
The immunostained sections were examined by two authors (Chihiro Takasaki and Masashi Kobayashi), in a blinded manner. At least 200 tumor cells were scored per field under ×40 magnification. The percentages of tumor cells with positive staining for Ki-67, survivin, c-Myc and HIF-1α were determined (Fig. 1). Discrepancies were jointly re-evaluated until a consensus was reached.
Statistical analysis
The statistical analysis was performed using StatView-J Software (version 5.0; SAS Institute Inc., Cary, NC, USA). Based on previous reports (8,9,20), all samples were divided into two groups: A high-HIF-1α tumor group, in which the percentage of HIF-1α-positive cells was ≥20%, and a low-HIF-1α tumor group, in which the percentage of HIF-1α-positive cell was <20%. The χ2-test was used to assess the association between HIF-1α expression and categorical variables, including patient gender, smoking habits, pathological tumor stage, histological tumor type, vascular invasion, tumor differentiation and SUVmax (The tumor sample was considered to have a high SUVmax if the SUVmax was >5.0.). The t-test was used to assess the association between HIF-1α expression and continuous variables, including patient age, tumor size, GGO ratio, Ki-67 proliferation index, survivin expression and c-Myc expression. All continuous variables were summarized in terms of their means and standard deviations. When investigating the association between the Ki-67 proliferation index and the survivin and c-Myc expression in the tumors, the sample was divided into two groups according to the rates of survivin and c-Myc expression, as follows: The sample was classified as a nuclear survivin-high tumor if the percentage of nuclear survivin-positive cells was ≥17% and the tumor was classified as a c-Myc-high tumor if the percentage of c-Myc-positive cells was ≥40%. These thresholds were selected as they had the highest significance values in relation to the Ki-67 proliferation index (21).
A multivariate analysis using a logistic regression model was performed to determine the independent factors for high HIF-1α expression. All statistical tests were two-tailed and P<0.05 was considered to indicate a statistically significant difference.
Results
Patient characteristics
The characteristics of the patients are presented in Table I. The study included 216 patients with resected lung cancer, of whom 54 had squamous cell carcinoma (25.0%) and 162 had non-squamous cell carcinoma (75%), including adenocarcinoma, adenosquamous cell carcinoma, large cell carcinoma, large cell neuroendocrine carcinoma, and small cell carcinoma. With respect to tumor differentiation, 148 patients had ≥G2-grade disease and 68 patients had G1-grade disease.
Table I.
Characteristic | No. patients | (%) |
---|---|---|
Total | 216 | 100.0 |
Age, years | ||
Median | 72 | − |
Range | 39–89 | − |
Gender | ||
Male | 138 | 63.9 |
Female | 78 | 36.1 |
Smoking status | ||
Non-smoker (BI ≤100) | 53 | 24.5 |
Smoker | 163 | 75.5 |
Pathological tumor stage | ||
IA | 92 | 42.6 |
IB | 55 | 25.5 |
IIA | 17 | 7.9 |
IIB | 14 | 6.5 |
IIIA | 36 | 16.6 |
IIIB | 0 | 0.0 |
IV | 2 | 1.0 |
Histological tumor type | ||
Squamous | 54 | 25.0 |
Non-squamous | 162 | 75.0 |
Lymphatic invasion | ||
+ | 38 | 17.6 |
− | 178 | 82.4 |
Venous invasion | ||
+ | 108 | 50.0 |
− | 108 | 50.0 |
Tumor size (mm) | ||
Median | 31 | − |
Range | 9–82 | − |
GGO ratio (%) | ||
Median | 16.3 | − |
Range | 0–100 | − |
SUVmax | ||
Median | 4.4 | − |
Range | 0–27 | − |
Tumor differentiation | ||
G1 | 58 | 28.2 |
≥G2 | 148 | 71.8 |
BI, brinkman index; GGO, ground glass opacity; SUVmax, maximum standardized uptake value.
Clinical significance of HIF-1α expression
The immunohistochemical staining for HIF-1α revealed a nuclear pattern (Fig. 1). Among the 216 tumors, the mean percentage of HIF-1α-positive cells was 14.6±24.3%. Based on the 20% threshold for high HIF-1α, 58 (26.9%) high-HIF-1α tumors and 158 (73.1%) low-HIF-1α tumors were observed.
Regarding the patients' clinical characteristics, no significant associations between patient age, gender, smoking index, and HIF-1α expression were observed. With respect to the preoperative imaging findings, the mean GGO ratios were 8.9±21.0% for high-HIF-1α tumors and 19.0±30.0% for low-HIF-1α tumors; the GGO ratio was significantly lower for high-HIF-1α tumors compared with for low-HIF-1α tumors (P=0.02; Table II). The rate of tumors with high SUVmax was significantly greater in the high-HIF-1α tumor group compared with that in the low-HIF-1α tumor group (P<0.01; Table II).
Table II.
HIF-1α expression | |||
---|---|---|---|
Characteristic | High | Low | P-value |
Mean age (years) | 70.8 | 70.0 | 0.56 |
Gender (n) | |||
Male | 39 | 99 | 0.64 |
Female | 19 | 59 | |
Smoking status (n) | |||
Non-smoker | 12 | 41 | 0.54 |
Smoker | 46 | 117 | |
Pathological tumor stage (n) | |||
I | 38 | 109 | 0.75 |
≥II | 20 | 49 | |
Histological tumor type (n) | |||
Squamous | 27 | 27 | <0.01 |
Non-squamous | 31 | 131 | |
Lymphatic invasion (n) | |||
+ | 16 | 22 | 0.03 |
− | 42 | 136 | |
Venous invasion (n) | |||
+ | 35 | 73 | 0.09 |
− | 23 | 85 | |
Mean tumor size (mm) | 33.4 | 30.2 | 0.18 |
Mean GGO ratio (%) | 8.9 | 19.0 | 0.02 |
SUVmax (n) | |||
≥5 | 30 | 50 | <0.01 |
<5 | 17 | 79 | |
Tumor differentiation (n) | |||
G1 | 9 | 49 | 0.03 |
≥G2 | 47 | 101 |
HIF-1α, hypoxia-inducible factor-1α; GGO, ground glass opacity; SUVmax, maximum standardized uptake value.
Regarding the tumors' pathological features, the rate of squamous cell carcinoma was significantly higher in the high-HIF-1α tumors compared with that in the low-HIF-1α tumors (P<0.01; Table II). The lymphatic invasion rate was also significantly higher in the high-HIF-1α tumors compared with in low-HIF-1α tumors (P=0.03; Table II). With respect to tumor differentiation, low-grade (≥G2) tumors had a significant association with high-HIF-1α tumors. No association was observed between pathological stage and HIF-1α expression.
The multivariate logistic regression analysis identified squamous cell carcinoma (P=0.0009), lymphatic invasion (P=0.0350), and high SUVmax (P=0.0471) as significant and independent factors for high HIF-1α expression in patients with lung cancer.
Associations between the expression levels of HIF-1α, survivin and c-Myc, and the Ki-67 proliferation index
Immunohistochemical staining for survivin revealed a nuclear and/or cytoplasmic pattern (Fig. 1). The mean percentage of nuclear survivin-positive tumor cells was 13.7±20.3% and that of cytoplasmic survivin-positive tumor cells was 31.8±36.9%. The nuclear survivin expression was significantly higher in the high-HIF-1α tumors compared with in the low-HIF-1α tumors (20.3±25.3 vs. 11.2±17.7%; P<0.01; Table III; Fig. 2). No difference in HIF-1α expression was observed according to cytoplasmic survivin.
Table III.
HIF-1α expression | |||
---|---|---|---|
Tumor marker (%) | High | Low | P-value |
Ki-67 | 47.5 | 34.6 | 0.01 |
Survivin | 20.3 | 11.2 | <0.01 |
c-Myc | 54.3 | 34.5 | <0.01 |
HIF-1α, hypoxia-inducible factor-1α.
Immunohistochemical staining for c-Myc revealed a cytoplasmic pattern following staining (Fig. 1). The mean percentage of c-Myc-positive tumor cells was 39.8±38.8% among all included tumors. c-Myc expression was significantly higher in the high-HIF-1α tumors compared with the low-HIF-1α tumors (54.3±37.1 vs. 34.5±38.2%; P<0.01; Table III; Fig. 2).
With regards to Ki-67, the Ki-67 proliferation index was significantly higher in the high-HIF-1α tumor group compared with that in the low-HIF-1α tumor group (47.5±30.9 vs. 34.6±32.9%; P=0.01; Table III). The Ki-67 proliferation index also had significant associations with high-survivin tumors and high-c-Myc tumors: The Ki-67-positive rates for high- and low-survivin tumors were 58.1±28.8 and 29.7±30.8%, respectively (P<0.01), while the Ki-67-positive rates for high- and low-c-Myc tumors were 47.0±31.1 and 30.1±32.3%, respectively (P<0.01).
Discussion
A variety of genes are involved in tumor proliferation, invasion and metastasis. HIF-1α is a transcriptional factor that controls situations, including angiogenesis, glucose metabolism and antiapoptosis. HIF-1α is expected to be an important gene that cancers utilize during growth (4–7).
Survivin and c-Myc are genes that are known to be highly expressed in certain cancer types. Survivin is a member of the inhibitor of apoptosis protein family and it inhibits the activation of caspase included in the apoptotic pathway (10,13–15). c-Myc is a famous transcriptional factor that has been observed in various types of cancers. It serves a role in cell-cycle progression through the stimulation and repression of the expression of cell-cycle regulators (17,18,22,23). Although the signaling pathways between HIF-1α, survivin and c-Myc remain to be sufficiently elucidated, certain previous reports have noted that HIF-1α is a regulator of survivin and c-Myc, and also acts as their transcription factor (15,23).
The present study revealed that squamous cell carcinoma, a low GGO ratio and a high SUVmax were significantly associated with HIF-1α expression. These findings indicated that the solid tumors were sometimes subjected to low-oxygen conditions and expressed HIF-1α to adapt to hypoxia. The pathological features of the patients also showed that positive lymphatic invasion and high tumor differentiation were correlated with HIF-1α expression, indicating an association between HIF-1α and tumor proliferation. Regarding the immunohistochemistry results, the present study revealed that HIF-1α expression was significantly associated with the expression levels of survivin and c-Myc, indicating that HIF-1α was associated with tumor proliferation and antiapoptosis in resected lung cancer. The observed correlation between HIF-1α expression and the Ki-67 proliferation index is also suggestive of the association between HIF-1α and tumor proliferation.
Previous studies have identified HIF-1α expression in various cancer types, and HIF-1α-targeted therapy has started to be applied clinically to several cancers (24,25). For example, the molecularly targeted drug, everolimus, has been applied to renal cell cancer and pancreatic endocrine tumors. Everolimus inhibits mammalian target of rapamycin (mTOR), a HIF-1α translation activator, and reduces the quantity of HIF-1α protein. Other HIF-1α-targeted drugs are in clinical trials, including HIF-1α small interfering RNA. Furthermore, a drug that inhibits the binding of the HIF complex to DNA (GL331, echinomycin) has been included cell-line experiments (24,25). Although no HIF-1α-targeted therapy that has been adapted for lung cancer currently exists, these HIF-1α-targeted therapies are expected to provide novel treatments for lung cancer in the future. Appropriate patient selection will become a key issue when these anti-HIF-1 treatments are clinically applied to lung cancer. Subgroups of patients in which high HIF-1α expression is expected may represent good candidates for these therapies, including patients of squamous cell carcinoma with positive lymphatic invasion, low tumor differentiation, a low GGO ratio and a high SUVmax.
In conclusion, the present study demonstrated that HIF-1α expression was associated with tumor proliferation and antiapoptosis in lung cancer via the expression of survivin and c-Myc. Future studies involving clinical HIF-1α-targeted therapy are warranted.
Glossary
Abbreviations
- GGO
ground glass opacity
- HIF-1
hypoxia-inducible factor-1
- VHL
von hippel-lindau
References
- 1.Semenza GL. Expression of hypoxia-inducible factor 1: Mechanisms and consequences. Biochem Pharmacol. 2000;59:47–53. doi: 10.1016/S0006-2952(99)00292-0. [DOI] [PubMed] [Google Scholar]
- 2.Semenza GL. Targeting HIF-1 for cancer therapy. Nat Rev Cancer. 2003;3:721–732. doi: 10.1038/nrc1187. [DOI] [PubMed] [Google Scholar]
- 3.Thrash-Bingham CA, Tartof KD. aHIF: A natural antisense transcript overexpressed in human renal cancer and during hypoxia. J Natl Cancer Inst. 1999;91:143–151. doi: 10.1093/jnci/91.2.143. [DOI] [PubMed] [Google Scholar]
- 4.Harada H, Itasaka S, Kizaka-Kondoh S, Shibuya K, Morinibu A, Shinomiya K, Hiraoka M. The Akt/mTOR pathway assures the synthesis of HIF-1alpha protein in a glucose- and reoxygenation-dependent manner in irradiated tumors. J Biol Chem. 2009;284:5332–5342. doi: 10.1074/jbc.M806653200. [DOI] [PubMed] [Google Scholar]
- 5.Kaelin WG., Jr The won Hippel-Lindau tumor suppressor protein: O2 sensing and cancer. Nat Rev Cancer. 2008;8:865–873. doi: 10.1038/nrc2502. [DOI] [PubMed] [Google Scholar]
- 6.Simon F, Bockhorn M, Praha C, Baba HA, Broelsch CE, Frilling A, Weber F. Deregulation of HIF1-alpha and hypoxia-regulated pathways in hepatocellular carcinoma and corresponding non-malignant liver tissue-influence of a modulated host stroma on the prognosis of HCC. Langenbecks Arch Surg. 2010;395:395–405. doi: 10.1007/s00423-009-0590-9. [DOI] [PubMed] [Google Scholar]
- 7.Giles RH, Lolkema MP, Snijckers CM, Belderbos M, van der Groep P, Mans DA, van Beest M, van Noort M, Goldschmeding R, van Diest PJ, et al. Interplay between VHL/HIF1alpha and Wnt/beta-catenin pathways during colorectal tumorigenesis. Oncogene. 2006;25:3065–3070. doi: 10.1038/sj.onc.1209330. [DOI] [PubMed] [Google Scholar]
- 8.Kim SJ, Rabbani ZN, Dewhirst MW, Vujaskovic Z, Vollmer RT, Schreiber EG, Oosterwijk E, Kelley MJ. Expression of HIF-1alpha, CA IX, VEGF, and MMP-9 in surgically resected non-small cell lung cancer. Lung Cancer. 2005;49:325–335. doi: 10.1016/j.lungcan.2005.03.036. [DOI] [PubMed] [Google Scholar]
- 9.Volm M, Koomägi R. Hypoxia-inducible factor (HIF-1) and its relationship to apoptosis and proliferation in lung cancer. Anticancer Res. 2000;20:1527–1533. [PubMed] [Google Scholar]
- 10.Mita AC, Mita MM, Nawrocki ST, Giles FJ. Survivin: Key regulator of mitosis and apoptosis and novel target for cancer therapeutics. Clin Cancer Res. 2008;14:5000–5005. doi: 10.1158/1078-0432.CCR-08-0746. [DOI] [PubMed] [Google Scholar]
- 11.Liu N, Sun Y, Zhao N, Chen L. Role of hypoxia-inducible factor-1α and survivin in oxygen-induced retinopathy in mice. Int J Clin Exp Pathol. 2014;7:6814–6819. [PMC free article] [PubMed] [Google Scholar]
- 12.Wu XY, Fu ZX, Wang XH. Effect of hypoxia-inducible factor 1-α on survivin in colorectal cancer. Mol Med Rep. 2010;3:409–415. doi: 10.3892/mmr_00000273. [DOI] [PubMed] [Google Scholar]
- 13.Chen XQ, Zhao CL, Li W. Effect of hypoxia-inducible factor-1alpha on transcription of survivin in non-small cell lung cancer. J Exp Clin Cancer Res. 2009;28:29. doi: 10.1186/1756-9966-28-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Shinohara ET, Gonzalez A, Massion PP, Chen H, Li M, Freyer AS, Olson SJ, Andersen JJ, Shyr Y, Carbone DP, et al. Nuclear survivin predicts recurrence and poor survival in patients with resected nonsmall cell lung carcinoma. Cancer. 2005;103:1685–1692. doi: 10.1002/cncr.20951. [DOI] [PubMed] [Google Scholar]
- 15.Brennan DJ, Rexhepaj E, O'Brien SL, McSherry E, O'Connor DP, Fagan A, Culhane AC, Higgins DG, Jirstrom K, Millikan RC, et al. Altered cytoplasmic-to-nuclear ratio of surivin is a prognostic indicator in breast cancer. Clin Cancer Res. 2008;14:2681–2689. doi: 10.1158/1078-0432.CCR-07-1760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Koshiji M, Kageyama Y, Pete EA, Horikawa I, Barret JC, Huang LE. HIF-1alpha induces cell cycle arrest by functionally counteracting Myc. EMBO J. 2004;23:1949–1956. doi: 10.1038/sj.emboj.7600196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Pelengaris S, Khan M, Evan G. c-Myc: More than just a matter of life and death. Nat Rev Cancer. 2002;2:764–776. doi: 10.1038/nrc904. [DOI] [PubMed] [Google Scholar]
- 18.Dang CV, Resar LM, Emison E, Kim S, Li Q, Prescott JE, Wonsey D, Zeller K. Function of the c-Myc oncogenec transcription factor. Exp Cell Res. 1999;253:63–77. doi: 10.1006/excr.1999.4686. [DOI] [PubMed] [Google Scholar]
- 19.Goldstraw P, Crowley J, Chansky K, Giroux DJ, Groome PA, Rami-Porta R, Postmus PE, Rusch V, Sobin L. International Association for the Study of Lung Cancer International Staging Committee; Participating Institutions: The IASLC lung cancer staging project: Proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM classification of malignant tumors. J Thorac Oncol. 2007;2:706–714. doi: 10.1097/JTO.0b013e31812f3c1a. [DOI] [PubMed] [Google Scholar]
- 20.Karetsi E, Ioannou MG, Kerenidi T, Minas M, Molyvdas PA, Gourgoulianis KL, Paraskeva E. Differential expression of hypoxia-inducible factor-1α in non-small cell lung cancer and small cell lung cancer. Clinics (Sao Paulo) 2012;67:1373–1378. doi: 10.6061/clinics/2012(12)05. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kobayashi M, Hyang CL, Sonobe M, Kikuchi R, Ishikawa M, Kitamura J, Miyahara R, Menju T, Iwakiri S, Itoi K, et al. Intratumoral Wnt2B expression affects tumor proliferation and survival in malignant pleural mesothelioma patients. Exp Ther Med. 2012;3:952–958. doi: 10.3892/etm.2012.511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Dang CV, Kim JW, Gao P, Yustein J. The interplay between MYC and HIF in cancer. Nat Rev Cancer. 2008;8:51–56. doi: 10.1038/nrc2274. [DOI] [PubMed] [Google Scholar]
- 23.Huang LE. Carrot and stick: HIF-alpha engages c-Myc in hypoxic adaptation. Cell Death Differ. 2008;15:672–677. doi: 10.1038/sj.cdd.4402302. [DOI] [PubMed] [Google Scholar]
- 24.Semenza GL. Evaluation of HIF-1 inhibitors as anticancer agents. Drug Discov Today. 2007;12:853–859. doi: 10.1016/j.drudis.2007.08.006. [DOI] [PubMed] [Google Scholar]
- 25.Fujita M, Yasuda M, Kitatani K, Miyazawa M, Hirabayashi K, Takekoshi S, Iida T, Hirasawa T, Murakami M, Mikami M, et al. An up-to-date anti-cancer treatment strategy focusing on HIF-1alpha suppression: Its application for refractory ovarian cancer. Acta Histochem Cytochem. 2007;40:139–142. doi: 10.1267/ahc.07024. [DOI] [PMC free article] [PubMed] [Google Scholar]