Literature DB >> 12085186

Hypoxia enhances the expression of autocrine motility factor and the motility of human pancreatic cancer cells.

H Niizeki1, M Kobayashi, I Horiuchi, N Akakura, J Chen, J Wang, J-i Hamada, P Seth, H Katoh, H Watanabe, A Raz, M Hosokawa.   

Abstract

The incidence of distant metastases is higher in the tumours with low oxygen pressure than in those with high oxygen pressure. It is well known that hypoxia induces the transcription of various genes involved in angiogenesis and anaerobic metabolism necessary for the growth of tumour cells in vivo, suggesting that hypoxia may also induce the transcription of metastasis-associated genes. We sought to identify the metastasis-associated genes differentially expressed in tumour cells under hypoxic conditions with the use of a DNA microarray system. We found that hypoxia enhanced the expression of autocrine motility factor mRNA in various cancer cells and also enhanced the random motility of pancreatic cancer cells. Autocrine motility factor inhibitors abrogated the increase of motility under hypoxic conditions. In order to explore the roles of hypoxia-inducible factor-1alpha, we established hypoxia-inducible factor-1alpha-transfectants and dominant negative hypoxia-inducible factor-1alpha-transfectants. Transfection with hypoxia-inducible factor-1alpha and dominant-negative hypoxia-inducible factor-1alpha enhanced and suppressed the expression of autocrine motility factor/phosphohexase isomerase/neuroleukin mRNA and the random motility, respectively. These results suggest that hypoxia may promote the metastatic potential of cancer cells through the enhanced autocrine motility factor/phosphohexase isomerase/neuroleukin mRNA expression and that the disruption of the hypoxia-inducible factor-1 pathway may be an effective treatment for metastasis. Copyright 2002 Cancer Research UK

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12085186      PMCID: PMC2375441          DOI: 10.1038/sj.bjc.6600331

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


As metastasis is the major cause of death in cancer patients, control of metastasis is most important in the therapies for cancer patients. In order to control metastasis, we need to understand the details of metastatic process that is now thought to take multiple steps. Although a variety of factors have been documented to play important roles in the metastatic steps (Poste and Fidler, 1980; Liotta, 1986, 1988; Nicolson, 1988), many factors are yet to be elucidated. Several clinical investigations demonstrated that patients with hypoxic tumours had poor prognoses and that the incidence of distant metastases was higher in the tumours with low oxygen pressure than in those with high oxygen pressure (Gatenby ; Brizel ; Hockel ; Rofstad, 2000). These studies suggest that the tumour cells exposed to hypoxia at the primary tumour sites acquire aggressive properties including metastatic potential more than the well-oxygenated tumour cells do. In fact, recent reports have demonstrated that hypoxia enhances the expression of vascular endothelial growth factor (VEGF) and interleukin-8 (IL-8) in tumour cells, resulting in an increase of metastatic potential (Claffey and Robinson, 1996; Shi ; Biroccio ). However, it remains poorly understood how hypoxia promotes tumour cells' metastatic potential. When tumour cells are exposed to hypoxia, hypoxia-inducible factor-1 (HIF-1), which is a transcription factor composed of HIF-1α and HIF-1β subunits (Wang ; Wang and Semenza, 1996), is activated and then it promotes the transcription of several genes such as glucose transporters, glycolytic enzymes, and angiogenic factors (Dang and Semenza, 1999). A recent report demonstrates that human common cancer cells over-express hypoxia-inducible factor-1α (HIF-1α) in vivo and that the expression of HIF-1α is associated with metastasis (Zhong ). Furthermore, infiltration of endothelial cells, which involves various factors, is enhanced when tumour tissues are in hypoxia-induced angiogenesis. These reports have prompted us to hypothesise that hypoxia may also promote the invasion and metastasis of tumour cells by promoting the expression of metastasis-associated genes in addition to angiogenic factors through the activation of HIF-1α. As hypovasculature is an outstanding characteristic of pancreatic cancers with high invasiveness and metastatic potential (Raijiman and Levin, 1995) and most pancreatic cancer cells over-express HIF-1α protein (Akakura ), we speculate that pancreatic cancer cells may be exposed to severe hypoxia in vivo and that pancreatic cancers express higher levels of metastasis-associated genes in addition to angiogenic factors than well-oxygenated tumour cells do. Therefore we examined the expression of more than 9000 mRNAs in a pancreatic cancer cell line under hypoxic and non-hypoxic conditions with the use of a DNA microarray system and compared them to identify the metastasis-associated genes induced by hypoxia. We found that autocrine motility factor (AMF)/phosphohexose isomerase (PHI)/neuroleukin (NL) mRNA was expressed more highly in the cells under hypoxic conditions than under non-hypoxic conditions. In this study, we examined the expression of AMF/PHI/NL mRNA in a variety of cancer cell lines and the random motility of a pancreatic cancer cell line under hypoxic and non-hypoxic conditions, because AMF/PHI/NL was reported to stimulate random motility (Liotta ). Furthermore, we established HIF-1α-transfectants and dominant-negative HIF-1α-transfectants and examined their expression of AMF/PHI/NL mRNA and random motility in order to determine the possible role of HIF-1α in the AMF/PHI/NL mRNA expression and random motility promoted by hypoxia.

MATERIALS AND METHODS

Cell lines

Pancreatic ductal adenocarcinoma cell lines (PCI-6, PCI-10, PCI-19, PCI-43 and PCI-66 cells) were established from surgically resected pancreatic cancer tissues. These cell lines were kindly supplied from Dr Hiroshi Ishikura (The First Department of Pathology, Hokkaido University School of Medicine, Japan) and maintained in DMEM/F12 medium supplemented with 10% foetal calf serum (FCS). TAOV (ovarian cancer), TTOV (ovarian cancer), HepG2 (hepatoma), PC-6 (lung cancer), MiaPaca-2 (pancreatic cancer), BxPC-3 (pancreatic cancer) and KM-12 (colon cancer) cells were maintained in DMEM medium supplemented with 10% FCS.

DNA microarray analysis

Total RNA was extracted with the use of TRIZOL Reagent (Life Technologies, Tokyo, Japan) from the PCI-10 cells that had been incubated for 24 h under non-hypoxic and hypoxic conditions. The incubation under hypoxic condition (1% O2) was done in a hypoxic chamber gassed with 95% N2 and 5% CO2 (Wakenyaku Co. Ltd., Tokyo, Japan). mRNA was purified from the total RNA with the use of a Quickprep mRNA purification kit (Amersham Pharmacia Biotech, Tokyo, Japan). Differentially expressed genes were screened with the use of a DNA microarray system, UniGEM human (Kurabo Industries Ltd, Osaka, Japan). We defined the genes expressed at more than two-fold higher levels under hypoxic conditions than under non-hypoxic conditions as possible hypoxia-inducible genes in this study.

Establishment of HIF-1α-transfectants and dominant negative HIF-1α-transfectants

Establishment of HIF-1α-transfectants was previously reported (Akakura ). A cDNA for dominant negative HIF-1α (dnHIF-1α) lacking both the DNA binding and transactivation domains of HIF-1α was amplified from reverse transcription (RT) products of mRNAs purified from the PCI-10 cells and cloned into PCR4-TOPO (Invitrogen, Carlsbad, CA, USA). PCR primers for dominant negative HIF-1α were selected as previously described (Halterman ) (forward, ccgctcgagaccatgcgaaggaaagaatctg; reverse, ggggtacctcatttgtcaaagaggctact). Plasmids were recovered, purified and sequenced with a DyeDeoxy Terminator kit (Perkin-Elmer, Urayasu, Japan) on an ABI 377 automated sequencer (Applied Biosystems, Urayasu, Japan) in the condition described in the manufacturer's protocol. Cloned fragments were recovered from the vectors and ligated into PcDNA3.1+ (Invitrogen, Carlsbad, CA, USA). PCI-43 cells were transfected with the expression vector for dnHIF-1α with the use of Lipofectamine (Life Technologies, Tokyo, Japan). Transfectants were cloned by a limiting dilution method after the selection with G-418 at 800 μg ml−1. The transfectants were maintained in the presence of 400 μg ml−1 of G-418.

FACS analysis

Cells were stained with anti-AMFR antibody (rat monoclonal antibody, IgM) (Niinaka ) for 1 h and then stained with a second anti-rat Ig antibody for 1 h. Expression of AMFR proteins was quantified with the use of FACScaliber (Becton Dickinson, Mountain View, CA, USA).

Northern blot analysis

Northern blot analysis was performed by the method described previously (Choi ). Total RNA (20 μg) was separated by electrophoresis in 1.2% denaturing formaldehyde-agarose gels. The RNA was transferred to nylon membrane (Hybond N+, Amersham) overnight by capillary elution and UV cross-linked. After prehybridisation of the blots for 1–2 h at 42°C in hybridisation buffer (5×SSPE, 5×Denhardt's solution, 1% SDS, 50% Formamide and 0.1 mg ml−1 of denatured salmon sperm DNA), the membrane was hybridised overnight at 42°C with the cDNA probes for AMF and AMF receptor (AMFR). The probed membrane was then washed and exposed to radiographic film. cDNA fragments for AMF and AMF receptor (AMFR) were amplified by RT–PCR, cloned into a TA cloning vector, purified from the vector and then used as probes for Northern blot analysis. PCR primers were as follows: AMF forward, gcttgaccctcaacaccaac; reverse, gaagtgctggtccatccagt; AMFR forward, caggaggaagtgagccagtc; reverse, agcttgctgcctaaccactc.

Phagokinetic track assay

Phagokinetic track assay was performed according to the method reported by Albrecht-Buehler (1977). Briefly, gold particle suspension was prepared by mixing 18 μl of 14.5 mM AuCl4 solution and 5 ml of 36.5 mM Na2CO3 solution with 11 ml double-distilled water followed by heating to boiling point and adding 1.8 ml of 0.1% formaldehyde. Two ml of gold particle suspension was laid on the 18×18 mm-square glass coverslips coated with 0.1% bovine serum albumin. The particle-coated coverslips were placed in 35 mm plastic dishes containing DMEM/F-12 medium supplemented with 5% FCS. Cells were seeded in the dishes and incubated for 24 h. After incubation, the coverslips were removed and fixed in 10% formaldehyde solution for 30 min and mounted on microscope slides. Phagokinetic track areas of more than 20 cells that were randomly selected were observed with the use of a microscope analyser (Cosmo zone R500, Nikon, Japan). The experiments were done under hypoxic (1% O2 per 5% CO2) and non-hypoxic conditions (20% O2 per 5% CO2). In some experiments, supernatant of the pancreatic cancer cells PCI-10 cultured in hypoxia was added in the dishes at 0, 12.5, 25, 50 and 100%. PHI inhibitors described in the previous report (Watanabe ), erythrose 4-phosphate (E4P) and 6-phosphogluconic acid (6PGA) (Sigma) were added into the dishes at 10, 100 and 1000 μM.

Statistical analysis

Statistical analysis was done by the Mann–Whitney test.

RESULTS

Differentially expressed genes under hypoxic conditions

We defined the genes expressed at more than two-fold higher levels under hypoxic conditions than under non-hypoxic conditions as possible hypoxia-induced genes, which numbered 38. As expected, mRNAs for glycolytic enzymes and angiogenic factors were expressed at higher levels under hypoxic conditions than under non-hypoxic conditions. In the glycolytic enzymes, we found that phosphohexose isomerase (PHI) mRNA was expressed at a two-fold higher level under hypoxic conditions than under non-hypoxic conditions. A recent report has demonstrated that AMF, which was originally identified as a molecule stimulating directional motility (chemotaxis) and random motility (chemokinesis) of melanoma cells (Liotta ), was identical to PHI/NL (Watanabe ). As AMF/PHI/NL secreted by tumour cells acts as a chemokinetic factor (random motility-stimulating factor) in an autocrine fashion, we focused on this molecule that could promote the metastatic potential under hypoxic conditions.

Expressions of AMF/PHI/NL and AMFR in a variety of cancer cells

We then examined the expression of AMF/PHI/NL mRNA in several cancer cell lines, including PCI-10 cells used in the DNA microarray analysis, before and after exposure to hypoxia in order to define whether the enhanced expression of AMF/PHI/NL mRNA in hypoxia was common in a variety of cancer cells. Figure 1A shows the expression of AMF/PHI/NL mRNA in the pancreatic cancer cell lines (PCI-6, PCI-10, PCI-19, PCI-43, PCI-66, MiaPaca-2 and BxPC-3), colon cancer cell line (KM-12), lung cancer cell line (PC-6), hepatoma cell line (HepG2) and ovarian cancer cell lines (TAOV and TTOV). All the cell lines expressed AMF/PHI/NL mRNA at higher levels under hypoxic conditions than under non-hypoxic conditions, indicating that the increased expression of AMF/PHI/NL mRNA under hypoxic conditions was common in a variety of cancer cells. Next we examined the expression of AMFR. All the cell lines examined, especially PCI-10 cells used for the examination of motility, expressed AMFR mRNA and protein (Figure 1B,C), suggesting that the AMF/PHI/NL could stimulate the random motility of the cells in an autocrine fashion.
Figure 1

Expression of AMF/PHI/NL and AMFR mRNAs. (A) AMF/PHI/NL mRNA expression. RNAs were extracted from the cells incubated under non-hypoxic (N) and hypoxic (H) conditions (20% and 1%, respectively) for 24 h and then Northern blot analysis was performed. (B) AMFR mRNA expression. RNAs were extracted from the cells incubated under non-hypoxic (N) for 24 h and then Northern blot analysis was performed. A representative result of two different experiments is shown. (C) FACS analysis of AMFR expression. Cells were stained with anti-AMFR antibody (rat monoclonal antibody, IgM) for 1 h and then stained with second anti-rat Ig antibody for 1 h. A representative result of two different experiments is shown.

Expression of AMF/PHI/NL and AMFR mRNAs. (A) AMF/PHI/NL mRNA expression. RNAs were extracted from the cells incubated under non-hypoxic (N) and hypoxic (H) conditions (20% and 1%, respectively) for 24 h and then Northern blot analysis was performed. (B) AMFR mRNA expression. RNAs were extracted from the cells incubated under non-hypoxic (N) for 24 h and then Northern blot analysis was performed. A representative result of two different experiments is shown. (C) FACS analysis of AMFR expression. Cells were stained with anti-AMFR antibody (rat monoclonal antibody, IgM) for 1 h and then stained with second anti-rat Ig antibody for 1 h. A representative result of two different experiments is shown.

Expression of AMF/PHI/NL mRNA in HIF-1α-transfectants and dominant-negative HIF-1α-transfectants

Figure 2A shows the expression of AMF/PHI/NL mRNA in the HIF-1α-transfectants and the vector-transfectant under non-hypoxic conditions. The expression of AMF/PHI/NL mRNA was higher in the HIF-1α-transfectants than in the vector-transfectant. Figure 2B shows the expression of dominant-negative HIF-1α (dnHIF-1α) mRNA. The dnHIF-1α-transfectants but not the vector-transfectant expressed the truncated dnHIF-1α mRNA in addition to the endogenous HIF-1α mRNA. Expression of AMF/PHI/NL mRNA was enhanced after exposure to hypoxia in the vector-transfectant and the parent cells but not in the dnHIF-1α-transfectants (Figure 2C). These results suggested that hypoxia might enhance the expression of AMF/PHI/NL mRNA through the activation of HIF-1.
Figure 2

Expression of AMF/PHI/NL mRNA in the transfectants: (A) Northern blot analysis of AMF/PHI/NL mRNA in the HIF-1α-transfectants (PCI-10/H2 and PCI-10/H3) and vector-transfectant (PCI-10/V2) under non-hypoxic conditions. AMF/PHI/NL mRNA expression in PCI-10 cells under non-hypoxic (N) and hypoxic (H) conditions were shown as controls. (B) Northern blot analysis of dominant negative HIF-1α (dnHIF-1α) mRNA in the transfectants. (C) Northern blot analysis of AMF/PHI/NL mRNA expression in the dnHIF-1α -transfectants (PCI-43/dnH3 and PCI-43/dnH7) and the vector-transfectant (PCI-43/vV3) under non-hypoxic (N) and hypoxic (H) conditions. RNAs were extracted from the cells incubated under non-hypoxic (N) and hypoxic (H) conditions for 24 h and then Northern blot analysis was performed.

Expression of AMF/PHI/NL mRNA in the transfectants: (A) Northern blot analysis of AMF/PHI/NL mRNA in the HIF-1α-transfectants (PCI-10/H2 and PCI-10/H3) and vector-transfectant (PCI-10/V2) under non-hypoxic conditions. AMF/PHI/NL mRNA expression in PCI-10 cells under non-hypoxic (N) and hypoxic (H) conditions were shown as controls. (B) Northern blot analysis of dominant negative HIF-1α (dnHIF-1α) mRNA in the transfectants. (C) Northern blot analysis of AMF/PHI/NL mRNA expression in the dnHIF-1α -transfectants (PCI-43/dnH3 and PCI-43/dnH7) and the vector-transfectant (PCI-43/vV3) under non-hypoxic (N) and hypoxic (H) conditions. RNAs were extracted from the cells incubated under non-hypoxic (N) and hypoxic (H) conditions for 24 h and then Northern blot analysis was performed.

Random motility

As shown in Figure 3A, the random motility of PCI-10 cells increased under hypoxic conditions by more than four-fold compared with that under non-hypoxic conditions. Furthermore, the random motility of the HIF-1α-transfectants under non-hypoxic conditions was higher than that of the vector-transfectant (Figure 3B). Figure 3C shows the random motility of the dnHIF-1α-transfectants under hypoxic and non-hypoxic conditions. The random motility of the vector-transfectant but not of the dnHIF-1α-transfectants was enhanced under hypoxic conditions. These results in combination with the changes in the AMF/PHI/NL mRNA expression suggested that the random motility was closely correlated with the levels of AMF/PHI/NL mRNA expression.
Figure 3

Random motility: Data present the mean±s.d. of three different experiments. (A) Random motility of the PCI-10 cells under hypoxic and normoxic conditions. *P<0.01; significantly different compared with the relative motility of the PCI-10 cells under normoxic conditions. (B) Random motility of the HIF-1α-transfectants under non-hypoxic conditions. *P<0.01; significantly different compared with the vector control. (C) Random motility of the dnHIF-1α-transfectants and the vector-transfectant under hypoxic and non-hypoxic conditions. *P<0.05; significantly different compared with the relative motility of the PCI-43 cells under normoxic conditions. (D) Random motility of PCI-10 cells under normoxic conditions in the presence or absence of the supernatant of PCI-10 cells cultured under hypoxic conditions. *P<0.01, **P<0.05; significantly different compared with the relative motility of PCI-10 cells under normoxic conditions in the absence of supernatant. †P<0.05; significantly different compared with the relative motility of PCI-10 cells in the presence of 100% supernatant. (E) Random motility of the PCI-10 cells under hypoxic conditions in the presence of AMF/PHI-inhibitors. *P<0.01; significantly different compared with the relative motility of PCI-10 cells under normoxic conditions. †P<0.01; significantly different compared with the relative motility of PCI-10 cells under normoxic conditions in the absence of inhibitor.

Random motility: Data present the mean±s.d. of three different experiments. (A) Random motility of the PCI-10 cells under hypoxic and normoxic conditions. *P<0.01; significantly different compared with the relative motility of the PCI-10 cells under normoxic conditions. (B) Random motility of the HIF-1α-transfectants under non-hypoxic conditions. *P<0.01; significantly different compared with the vector control. (C) Random motility of the dnHIF-1α-transfectants and the vector-transfectant under hypoxic and non-hypoxic conditions. *P<0.05; significantly different compared with the relative motility of the PCI-43 cells under normoxic conditions. (D) Random motility of PCI-10 cells under normoxic conditions in the presence or absence of the supernatant of PCI-10 cells cultured under hypoxic conditions. *P<0.01, **P<0.05; significantly different compared with the relative motility of PCI-10 cells under normoxic conditions in the absence of supernatant. †P<0.05; significantly different compared with the relative motility of PCI-10 cells in the presence of 100% supernatant. (E) Random motility of the PCI-10 cells under hypoxic conditions in the presence of AMF/PHI-inhibitors. *P<0.01; significantly different compared with the relative motility of PCI-10 cells under normoxic conditions. †P<0.01; significantly different compared with the relative motility of PCI-10 cells under normoxic conditions in the absence of inhibitor. Next, as AMF/PHI/NL has been reported to act in an autocrine fashion, we examined the effects of the supernatant of PCI-10 cells cultured under hypoxic conditions on their motility. Figure 3D shows that the supernatant enhanced the random motility of PCI-10 cells under non-hypoxic conditions in a dose-dependent manner, indicating that the random motility-stimulating activity in the supernatant stimulated it in an autocrine fashion. In order to determine whether the presumed random motility-stimulating factor in the supernatant was identical to AMF/PHI/NL, we examined the effects of two carbohydrate phosphates, 6-phosphogluconic acid (6PGA) and erythrose 4-phosphate (E4P), which have been reported to inhibit the PHI enzymatic activity and the AMF-induced cell motility (Watanabe ). Figure 3D shows that 6PGA and E4P almost completely abrogated the motility-stimulating activity of the supernatant. Figure 3E shows that 6PGA and E4P directly reduced the random motility of PCI-10 cells enhanced under hypoxic conditions.

DISCUSSION

A number of reports have demonstrated that the probability of distant metastases correlates with oxygen pressure in the tumour tissues (Gatenby ; Brizel ; Hockel ; Rofstad, 2000), suggesting that hypoxia may promote metastatic potential. However, it remains poorly understood how hypoxia promotes the metastatic potential of tumour cells. In this study, we clearly demonstrated that hypoxia enhanced the AMF/PHI/NL mRNA expression in a variety of cancer cells and it also enhanced the random motility in an autocrine fashion. In accordance with our results, a recent report demonstrated that AMF/PHI/NL was identified as a hypoxia-inducible gene by a representational difference analysis using mRNA extracted from hypoxic and normoxic Capan-2, a human pancreatic cancer cell line (Yoon ). However, it was not determined whether the enhanced expression of AMF/PHI/NL resulted in the enhanced motility. As hypoxia is frequently observed in tumour tissues in vivo (Guillemin and Krasnow, 1997; Blancher and Harris, 1998), we suspected that AMF/PHI/NL might be expressed in various cancer cells in vivo. In accordance with this speculation, previous reports demonstrated that the expression of AMF/PHI/NL was found in human colorectal, bladder, oesophageal and gastric cancers and that the expression of AMF/PHI/NL correlated with the disease progression (Watanabe ; Nabi ). Furthermore, we found that AMF/PHI/NL was expressed also in the tumour cells of human pancreatic cancers in vivo (data not shown). Recently we have reported that most pancreatic cancer cells, which are known to show high invasiveness and high metastatic potential in vivo, over-expressed HIF-1α proteins constitutively (Akakura ). Those results in combination with the findings demonstrated in this study suggest that high expression of AMF/PHI/NL may be attributable to the high invasiveness and high metastatic potential of pancreatic cancers. It is well-known that metastasis requires coordinated activation of various factors involved in proliferation, motility, cell-to-cell and cell-to-substrate contacts, degradation of extracellular matrix, inhibition of apoptosis, and adaptation to an inappropriate tissue environment (Poste and Fidler, 1980; Liotta ). Our DNA microarray study showed that mRNA expressions of various angiogenic factors and glycolytic enzymes were enhanced in hypoxia in accordance with the previous reports (Vaupel ; Semenza, 2000). Increased expression of angiogenic factors under hypoxic conditions enhances the angiogenesis that supports the survival and growth of tumour cells in the metastatic sites as well as in the primary sites (Claffey and Robinson, 1996; Rofstad and Danielsen, 1999). Likewise increased expression of glycolytic enzymes supports the survival and growth of tumour cells under hypoxic conditions (Malhotra and Brosius, 1999). Accordingly, these angiogenic factors and glycolytic enzymes induced by hypoxia could enhance the metastasis in cooperation with AMF/PHI/NL. Namely, hypoxia promotes the infiltration of endothelial cells into tumour tissues in its inducing angiogenesis; the hypoxia may also induce the activation of various factors other than angiogenic factors and AMF/PHI/NL in cancer cells. We now search the possible metastasis-associated genes, which should have hypoxia-responsive elements (HRE) in the promoter region. All together, our present results provide a new insight into the mechanisms and a possible means for control of metastasis. We now propose that the enhancement of metastatic potential may be one of hypoxic responses of tumour cells exposed to hypoxia. The findings of dominant-negative HIF-1α-transfectants suggest that the disruption of the HIF-1 pathway may be an effective treatment for metastasis, in addition to the treatment of primary tumours through the inhibition of various genes necessary for the growth and metastasis of tumour cells in vivo, in accordance with the previous report (Kung ).
  33 in total

1.  Oxygen distribution in squamous cell carcinoma metastases and its relationship to outcome of radiation therapy.

Authors:  R A Gatenby; H B Kessler; J S Rosenblum; L R Coia; P J Moldofsky; W H Hartz; G J Broder
Journal:  Int J Radiat Oncol Biol Phys       Date:  1988-05       Impact factor: 7.038

Review 2.  Tumor invasion and metastases--role of the extracellular matrix: Rhoads Memorial Award lecture.

Authors:  L A Liotta
Journal:  Cancer Res       Date:  1986-01       Impact factor: 12.701

3.  Bcl-2 overexpression and hypoxia synergistically act to modulate vascular endothelial growth factor expression and in vivo angiogenesis in a breast carcinoma line.

Authors:  A Biroccio; A Candiloro; M Mottolese; O Sapora; A Albini; G Zupi; D Del Bufalo
Journal:  FASEB J       Date:  2000-04       Impact factor: 5.191

4.  Phagokinetic tracks of 3T3 cells: parallels between the orientation of track segments and of cellular structures which contain actin or tubulin.

Authors:  G Albrecht-Buehler
Journal:  Cell       Date:  1977-10       Impact factor: 41.582

5.  Hypoxia-inducible factor-1alpha mediates hypoxia-induced delayed neuronal death that involves p53.

Authors:  M W Halterman; C C Miller; H J Federoff
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

Review 6.  Gene products which play a role in cancer invasion and metastasis.

Authors:  L A Liotta
Journal:  Breast Cancer Res Treat       Date:  1988-05       Impact factor: 4.872

Review 7.  Cancer metastasis: tumor cell and host organ properties important in metastasis to specific secondary sites.

Authors:  G L Nicolson
Journal:  Biochim Biophys Acta       Date:  1988-11-15

Review 8.  Microenvironment-induced cancer metastasis.

Authors:  E K Rofstad
Journal:  Int J Radiat Biol       Date:  2000-05       Impact factor: 2.694

9.  Expression of vascular permeability factor/vascular endothelial growth factor by melanoma cells increases tumor growth, angiogenesis, and experimental metastasis.

Authors:  K P Claffey; L F Brown; L F del Aguila; K Tognazzi; K T Yeo; E J Manseau; H F Dvorak
Journal:  Cancer Res       Date:  1996-01-01       Impact factor: 12.701

10.  Expression and secretion of neuroleukin/phosphohexose isomerase/maturation factor as autocrine motility factor by tumor cells.

Authors:  Y Niinaka; S Paku; A Haga; H Watanabe; A Raz
Journal:  Cancer Res       Date:  1998-06-15       Impact factor: 12.701

View more
  29 in total

1.  Glucose metabolism gene variants modulate the risk of pancreatic cancer.

Authors:  Xiaoqun Dong; Yanan Li; Ping Chang; Hongwei Tang; Kenneth R Hess; James L Abbruzzese; Donghui Li
Journal:  Cancer Prev Res (Phila)       Date:  2011-03-16

Review 2.  Metabolic changes associated with tumor metastasis, part 1: tumor pH, glycolysis and the pentose phosphate pathway.

Authors:  Valéry L Payen; Paolo E Porporato; Bjorn Baselet; Pierre Sonveaux
Journal:  Cell Mol Life Sci       Date:  2015-12-01       Impact factor: 9.261

Review 3.  Non-canonical roles for metabolic enzymes and intermediates in malignant progression and metastasis.

Authors:  Demond Williams; Barbara Fingleton
Journal:  Clin Exp Metastasis       Date:  2019-05-09       Impact factor: 5.150

4.  Glucose metabolism gene polymorphisms and clinical outcome in pancreatic cancer.

Authors:  Xiaoqun Dong; Hongwei Tang; Kenneth R Hess; James L Abbruzzese; Donghui Li
Journal:  Cancer       Date:  2010-09-15       Impact factor: 6.860

5.  Differential expression of growth factors at the cellular level in virus-infected brain.

Authors:  Mikhail Prosniak; Anna Zborek; Gwen S Scott; Anirban Roy; Timothy W Phares; Hilary Koprowski; D Craig Hooper
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-07       Impact factor: 11.205

6.  Role of TRPC1 channels in pressure-mediated activation of murine pancreatic stellate cells.

Authors:  Benedikt Fels; Nikolaj Nielsen; Albrecht Schwab
Journal:  Eur Biophys J       Date:  2016-09-26       Impact factor: 1.733

Review 7.  The tumor microenvironment and metastatic disease.

Authors:  Sarah Jane Lunt; Naz Chaudary; Richard P Hill
Journal:  Clin Exp Metastasis       Date:  2008-06-10       Impact factor: 5.150

Review 8.  Hypoxia-inducible factor 1 and cardiovascular disease.

Authors:  Gregg L Semenza
Journal:  Annu Rev Physiol       Date:  2013-08-21       Impact factor: 19.318

Review 9.  Glucose metabolic phenotype of pancreatic cancer.

Authors:  Anthony K C Chan; Jason I E Bruce; Ajith K Siriwardena
Journal:  World J Gastroenterol       Date:  2016-03-28       Impact factor: 5.742

10.  Pim-1 plays a pivotal role in hypoxia-induced chemoresistance.

Authors:  J Chen; M Kobayashi; S Darmanin; Y Qiao; C Gully; R Zhao; S C Yeung; M H Lee
Journal:  Oncogene       Date:  2009-06-01       Impact factor: 9.867

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.