TGFBI expression is associated with a better response to chemotherapy in NSCLC
© Irigoyen et al; licensee BioMed Central Ltd. 2010
Received: 13 November 2009
Accepted: 28 May 2010
Published: 28 May 2010
Lung cancer is one of the most prevalent neoplasias in developed countries. Advances in patient survival have been limited and the identification of prognostic molecules is needed. Resistance to treatment is strongly related to tumor cell adhesion to the extracellular matrix and alterations in the quantity and nature of molecules constituting the tumor cell niche. Recently, transforming growth factor beta-induced protein (TGFBI), an extracellular matrix adaptor protein, has been reported to be differentially expressed in transformed tissues. Loss of TGFBI expression has been described in several cancers including lung carcinoma, and it has been suggested to act as a tumor suppressor gene.
To address the importance of TGFBI expression in cancer progression, we determined its expression in NSCLC clinical samples using immunohistochemistry. We identified a strong association between elevated TGFBI expression and the response to chemotherapy. Furthermore, we transiently over-expressed and silenced TGFBI in human NSCLC cell lines. Cells over-expressing TGFBI displayed increased sensitivity to etoposide, paclitaxel, cisplatin and gemcitabine. We observed that TGFBI-mediated induction of apoptosis occurred through its binding to αvβ3 integrin. We also determined that full-length TGFBI did not induce caspase 3/7 activation but its proteolytic fragments that were < 3 kDa in size, were able to activate caspase 3, 7 and 8. This pro-apoptotic effect was blocked by anti-αvβ3 integrin antibodies.
The results shown here indicate that TGFBI is a predictive factor of the response to chemotherapy, and suggest the use of TGFBI-derived peptides as possible therapeutic adjuvants for the enhancement of responses to chemotherapy.
More than a century ago Paget proponed his "seed and soil hypothesis" in which the tumor environment (soil) was just as important as cancer cell itself (seed) [1, 2]. Since then, increasing attention has been devoted to the behavior of stromal cells and to the tumor microenvironment. In fact, it is now well established that minor alterations in one of the constituents of the tumor niche may cause dramatic reorganizations of the whole system . Hence, binding of cancer cells to the extracellular matrix (ECM) influences cell behavior and, ultimately, tumor progression .
A panoply of ECM receptors and binding proteins have been associated with tumor adhesion and cancer progression [5, 6]. One of these molecules is TGFβ1-induced protein (TGFBI), which is also known as keratoepithelin or βIg-h3. This protein was first described in TGFβ1-treated A549 non-small cell lung cancer (NSCLC) cells and was soon associated with corneal dystrophies, which are the only known pathological manifestations of genetic mutations in TGFBI [7, 8]. This 68-kDa protein contains four conserved fasciclin-1 (FAS1) domains and a carboxyl-terminal Arg-Gly-Asp (RGD) integrin-binding sequence. TGFBI mediates integrin binding to ECM proteins such as collagen, laminin and fibronectin. TGFBI binding to integrins has been related to the activation of cell proliferation, adhesion, migration and differentiation . This protein is upregulated in human tumors of the colon , renal [11, 12], pancreas  and in neuroblastoma , whereas it is down-regulated in breast cancer . TGFBI has conflicting roles in cancer progression. Depending on the tissue, TGFBI functions as a promoter or suppressor of cancer growth. For example, overexpression of TGFBI in renal, pancreatic or colon carcinoma cells induces cell migration and increased metastatic potential [12, 13, 16]. Conversely, Zhang et al. demonstrated that TGFBI-/-mice were susceptible to both spontaneous and 7,12-dimethylbenz(α)anthracene-induced skin tumors . In relation to lung cancer, loss of TGFBI expression has been described in asbestos and radiation-exposed human bronchial epithelial cells [18, 19] and in human lung cancer samples [20, 21].
In the present work, we described an association between TGFBI expression and the response to chemotherapy in NSCLC. In order to characterize the molecular mechanisms underlying this association, we examined the effects of TGFBI over-expression and inhibition in NSCLC cells on the induction of apoptosis after chemotherapy. Additionally, we evaluated the effect of soluble proteolytic fragments of TGFBI on tumor cell survival.
High TGFBI expression in NSCLC samples correlates with response to chemotherapy
Loss of TGFBI expression has been associated with the tumorigenic phenotype of several carcinomas including lung cancer [, and Additional file 1]. It has also been correlated with enhanced sensitivity to paclitaxel and etoposide in ovarian carcinoma  and a lung adenocarcinoma cell line , respectively.
We also performed Kaplan-Meier analysis of overall survival on the same series of patients. Data shown in Additional file 3 illustrate that patients expressing higher levels of TGFBI show a trend towards better survival (p = 0.053). This data, in spite of not being significant, suggests its possible use as a candidate prognostic factor. Nevertheless, analyses performed in greater number of samples should be made to definitively test this.
TGFBI over-expression contributes to NSCLC responses to chemotherapy
NSCLC cells exposed to recombinant soluble TGFBI displayed an increased susceptibility to chemotherapy
To determine if NSCLC binding to soluble recombinant TGFBI also contributed to improved responses to chemotherapy, we analyzed caspase 3/7 activation in NSCLC cells exposed to 20 μg/mL rh-TGFBI and treated with etoposide at a concentration of 5 μM and 50 μM for A549 cells and H1299 cells, respectively. NSCLC cells treated with etoposide in the presence of recombinant TGFBI displayed higher caspase 3/7 activity compared to cells treated with the chemotherapeutic drug alone (Figure 4C). As expected, when seeding A549 and H1299 cells onto TGFBI coated 96-well plates, an increased response to etoposide was also induced (Figure 4D).
TGFBI-induced cell death is mediated through interaction with the αvβ3 integrin
It has been previously shown that αvβ3 integrin mediates paclitaxel sensitivity of ovarian cancer cells that transiently expressed TGFBI . Therefore, to determine if this integrin influences TGFBI-mediated NSCLC cell susceptibility to chemotherapy, we incubated NSCLC cells with a blocking antibody specific for αvβ3, 1 h before the addition of rh-TGFBI (20 μg/mL) for 24 h and an further exposure to etoposide (5 μM for A549 cells and 50 μM for H1299 cells) for additional 24 h. As shown in figure 5D, blocking αvβ3 integrin resulted in impaired TGFBI-induced caspase 3/7 activity in both the presence and absence of etoposide. All these results demonstrated that this integrin participates in TGFBI-mediated induction of NSCLC cell apoptosis.
RGD peptides derived from TGFBI influence the susceptibility of NSCLC cells to chemotherapy through caspase 8 and caspase 3/7 activation
TGFBI contains a carboxy-terminal Arg-Gly-Asp (RGD) integrin binding sequence. Given that integrin-mediated binding of a cell to the ECM or to small soluble peptides can have contrasting effects on survival, with the latter resulting in survival and the former leading to cell death , we addressed whether TGFBI-derived RGD-containing peptides played a role in TGFBI-mediated apoptosis.
Additionally, we found that the pro-apoptotic effects of the TGFBI < 3 kDa supernatants were abrogated by pre-incubating the NSCLC cells with an anti-αvβ3 integrin blocking antibody. We further confirmed the role of the αvβ3 integrin in TGFBI induced cell death by transfection of H1299 with an anti-β3 integrin sh-RNA plasmid and further exposing these cells to 3 < kDa supernatants derived from TGFBI over-expressing cells for 48 h. Caspase 3/7 activity remained basal in β3 integrin silenced cells whereas it was induced in H1299 cells transfected with a scramble-shRNA (Additional file 7).
It has been previously demonstrated that caspase-8 is recruited to a complex containing unligated αvβ3 integrins, where it is activated and mediates apoptosis . In order to determine whether this caspase pathway is activated by TGFBI fragments, we measured caspase 8 activation in NSCLC cells exposed to supernatants containing TGFBI fragments < 3 kDa. Caspase-3/7 activation peaked 24 h after exposure to cell supernatants, while caspase-8 activation peaked 12 h earlier, which was expected due to its known previous activation in the caspase activation cascade (Figure 6C and 6D).
All of these results demonstrated that proteolytic fragments derived from TGFBI induced cell death through binding to the αvβ3 integrin on the surface of NSCLC cells and the subsequent activation of caspases 8 and caspase 3/7 signaling. These findings may explain the important association observed between elevated TGFBI expression and the response to chemotherapy found in NSCLC clinical biopsies.
Non-small cell lung cancer constitutes the largest subgroup of lung cancers, accounting for approximately 80% of the diagnosed cases of lung cancer. Most patients with NSCLC are diagnosed with locally advanced or metastatic disease and have very low survival expectancy [26, 27]. The existing treatment options for these patients have considerable limitations in effectiveness and safety. Current efforts have focused on discovering markers that are predictive of the outcome of treatment, facilitating a more specific approach to therapy.
In this report, we have demonstrated a significant association between TGFBI expression and the success of chemotherapy. We evaluated 47 NSCLC clinical samples and we detected low levels of TGFBI in those patients who did not respond to chemotherapy. In contrast, in patients who did respond to chemotherapy, we found higher levels of this protein in their tissue samples, suggesting a possible role of this molecule as a surrogate marker for response to therapy.
TGFBI was described as a soluble TGFβ1-induced ECM binding protein; it mediates cell adhesion to extracellular proteins such as collagen, fibronectin and laminins through integrin binding . Cell adhesion to ECM has been consistently reported as one of the mechanisms used by tumor cells to resist chemotherapy [28, 29]. In this process, the ECM proteins play a critical role . Here, in contrast to what was expected, we demonstrated that TGFBI silencing increased cell viability and over-expression had the opposite effect. Additionally, we observed an increase in chemo-sensitivity to a variety of chemotherapeutic agents when cells over-expressed TGFBI. This finding indicates that TGFBI promotes cell death through a mechanism that is independent of the drug used. Ahmed et al., suggested that TGFBI-mediated apoptosis was a direct effect of TGFBI on microtubule stabilization , and in our case we observed a direct caspase activation after TGFBI exposure regardless of using microtubule targeted therapy or other chemotherapeutic drugs. In spite of an apparent discrepancy, both mechanisms could be occurring at one time: full-length TGFBI could promote microtubule stabilization while its proteolytic fragments induce cell death.
We also demonstrated that TGFBI binds to NSCLC cells through the αvβ3 integrin. Considering the variety of integrin receptors that TGFBI protein can bind to, the specific identification of αvβ3 integrin as the key receptor highlights the pleiotropic nature of TGFBI-integrin signaling. In fact, TGFBI-mediated cellular response may vary widely depending on the integrin this protein binds to and the tissue location of this interaction. For example, TGFBI-αvβ5 integrin binding on vascular smooth muscle cells leads to increased adhesion and migration via Akt, ERK and FAK phosphorylation ; in other cells such as keratinocytes and corneal epithelial cells, TGFBI-mediated cell adhesion and migration is achieved through its binding with α3β1 integrin [32, 33]. Interestingly, it has been described that TGFBI promoted anti-angiogenic responses in HUVEC cells through binding to the αvβ3 integrin , which is the same integrin that mediates TGFBI adhesion to ECM in response to acute hypoxia in lymphatic endothelial cells . In our experiments, we observed that TGFBI binds to αvβ3 integrin on NSCLC cells and blocking this interaction abrogates the pro-apoptotic effect of TGFBI.
Recent published studies have demonstrated that, while ligand-bound αvβ3 integrin activates cell survival pathways and suppresses pro-apoptotic signals, non-ligated αvβ3 integrin or integrins bound to soluble substrates actively promote apoptosis . In our case, TGFBI mediated the susceptibility of NSCLC cells to chemotherapy and this may be the result of direct TGFBI induction of cell death through the binding of its proteolytic fragments (< 3 kDa) to the αvβ3 integrin. A number of previous studies have reported that high concentrations of TGFBI promoted the apoptosis of CHO and H1299 cells [24, 36] via RGD peptides, which are the products of TGFBI proteolysis, similar to what has been described for other ECM molecules . This aspect may be of clinical relevance given that soluble ligands for αvβ3 integrin have been used in pre-clinical animal models of melanoma and ovarian cancer [38, 39]. Additionally, TGFBI-derived peptides could be used in the near future as adjuvants in lung cancer therapy. Questions such as how TGFBI-derived peptides will affect non-tumor cells, which protease catalyzes TGFBI proteolysis and in what instances this proteolysis is activated all warrant future investigation.
In summary, here we provide evidence of the usefulness of TGFBI as a predictor of the outcome of chemotherapy in NSCLC and highlight the role of proteolytic TGFBI fragments in αvβ3 integrin-dependent NSCLC cell death.
In the current report we have demonstrated an association between TGFBI expression and the outcome of chemotherapy in patients with NSCLC. This protein has been described to be down regulated in NSCLC cells but, currently, little is known about its relationship with chemotherapy outcomes. Despite the remarkable development of targeted therapies for advanced NSCLC, little improvement in overall survival has been achieved. Therefore, the identification of predictive or surrogate markers of the response to chemotherapy would permit selection of patients who are most likely to positively respond to treatment .
We demonstrated that TGFBI-derived proteolytic fragments induced cell death when this protein was present at high concentrations in NSCLC cells. TGFBI-mediated cell death depended on the binding of TGFBI proteolytic fragments to αvβ3 integrin and the induction of caspase 8 and caspase 3/7. This pro-apoptotic effect occurred independent of the chemotherapeutic drug used. Therefore, the current findings offer new perspectives in the use of TGFBI-derived peptides as co-adjuvants for the development of new therapeutics.
Materials and methods
NSCLC patients and response criteria
To analyze NSCLC susceptibility to chemotherapy, a series of retrospective samples from 47 stage IV NSCLC patients were obtained prior to chemotherapy at the Clínica Universidad de Navarra between 2000 and 2006. Eligible patients needed to be 18 or older at the time of treatment, with a histological confirmed diagnosis of stage IV NSCLC, treated in our institution with a platinum-taxane combination regimen in a first-line setting and followed at least until tumor response assessment. In addition, sufficient tumor sample from original biopsy was required in order to perform immunohistochemical analysis. The records of 103 stage-IV NSCLC consecutive patients treated in our institution were initially selected. After evaluation, 22 of the 103 patients were excluded because chemotherapy was not administered in a first-line setting. Other 19 patients were not eligible due to unavailability of sufficient tumor sample to perform immunohistochemical analysis. Finally, 15 patients initially treated in our institution were lost during follow-up before tumor response was assessed and thus were also excluded. Therefore the final number of samples analyzed was reduced to 47 cases.
Clinico-pathological features of these 47 patients are shown in Additional file 2. Histological diagnosis was performed according to the WHO classification . REMARK criteria were followed throughout all the study . Criteria for response were established as already published following RECIST criteria . Complete response was defined as the disappearance of all target and non-target lesions, and the normalization of tumor marker level confirmed by repeat assessments that should be performed no less than 4 weeks after the criteria for response is first met. During this time no new lesions should appear. Partial response was defined as a greater than or equal to 30% decrease in the sum of the largest one-dimensional measurements, maintained for a minimum of 4 weeks. Stable disease was defined as change in the sum of the products or diameters, respectively, insufficient for partial response and progressive disease, maintained for a minimum of 4 weeks from baseline . The study protocol was approved by the ethics committee.
Immunohistochemistry of clinical biopsies from NSCLC patients
Formalin-fixed paraffin-embedded tissue sections were evaluated. Endogenous peroxidase activity was quenched and antigen retrieval was carried out by pressure cooking. Non-specific binding was blocked using 5% normal goat serum in Tris-buffered saline (TBS) for 30 min. Sections were incubated with anti-TGFBI antibody (1:25; Proteintech group, Chicago, USA) overnight at 4°C. Sections were then incubated with Envision polymer (Dako, Glostrup, Denmark) for 30 min at room temperature. Peroxidase activity was developed using diaminobenzidine and counterstained with hematoxylin before mounting in DPX mounting medium (BDH Chemical, Poole, UK). The specificity of the antibody was assessed by Western blot analysis of proteins from lung tumor sections (Additional file 1). Negative controls were carried out by omission of the primary antibody or incubation with an isotype control antibody.
Two independent, blinded observers (M.J.P and M.I.) evaluated the intensity and extensiveness of staining in all of the study samples. The evaluation of TGFBI expression was performed using the H-score system . Briefly, the percent of positive cells (0-100%) was scored and the intensity of staining was assessed in comparison to an external positive control (1+, mild; 2+, moderate and 3+, intense labeling). A final H score (0-300) was established by multiplying the percentage of labeled cells and the intensity of staining. Disagreements were resolved by common re-evaluation.
Human NSCLC cell lines derived from adenocarcinoma (NCI-A549) and large cell carcinoma (NCI-H1299) were purchased from American Type Culture Collection (ATCC, LGC-Promochem SL, Barcelona, Spain) and grown in RPMI 1640 medium (GIBCO, Barcelona, Spain) supplemented with 10% FBS and penicillin-streptomycin at 100 U/mL each. Cell cultures were incubated at 37°C in a humidified 5% CO2 incubator.
TGFBI over-expression and silencing
To over-express TGFBI in H1299 cells (H1299 TGFBIve), 2 × 105 cells/well were transfected with 1 μg of the pCMV6-XL4 plasmid vector containing TGFBI cDNA (Origene, MD, USA) using 2 or 3 μl of FuGENE 6 Transfection Reagent (Roche, IN, USA) in 97 μl of Opti-MEM medium (Invitrogen, Barcelona, Spain) following manufacturer's instructions.
To silence TGFBI expression, 1 × 106 A549 cells/mL (A549-TGFBIsi) were transfected by electroporation with 10 μg of a commercially available shRNA targeting TGFBI cloned in a pRS plasmid vector (Origene, MD, USA). Cell transfections were performed in Opti-MEM medium (Invitrogen) using a Biorad Gene Pulsar I electroporator (Hercules CA, USA), with the capacitance set at 100 F and the voltage at 500 V. Transfection efficiency was confirmed by Western blot of NSCLC supernatants (Additional file 4).
Determination of cell viability
For cell viability assays, 104 NSCLC cells were plated in 96-well plates (TPP, St. Louis MO, USA) in complete RPMI medium as described . To measure the role of TGFBI expression in NSCLC sensitivity to chemotherapy, A549 TGFBIsi and H1299 TGFBIve cells were seeded in 96-well plates. When cells reached confluence, increasing amounts of the four different chemotherapeutic drugs were added to NSCLC cells in complete cell culture media for 48 h and cell viability was assayed. The IC50 for etoposide in non-transfected cells was determined experimentally and used to measure caspase 3/7 activity and PARP cleavage (50 μM for H1299 cells and 5 μM for A549 cells).
To determine the influence of rh-TGFBI protein on cell viability, soluble recombinant human TGFBI (rh-TGFBI) purchased from R&D, was added to the cells in increasing concentrations (0.1, 1, 5, 10 and 20 μg/mL) and cell viability was assayed after 24 h.
Cell adhesion assay
To determine which integrin is involved in NSCLC cell adhesion to TGFBI, 1 × 106 cells/mL were labeled with 10 μM calcein-AM (Fluka, Steinheim, Germany) in adhesion-medium (RPMI 0.5% BSA, 20 mM HEPES). Cells in suspension were incubated with gentle rocking for an hour in the presence 1 μg/mL of each monoclonal anti-integrin blocking antibody. Afterwards, 104 cells were seeded onto 1 μg/mL rh-TGFBI coated wells, and cell adhesion was assayed as described . Six replicates were plated for each condition. The following blocking monoclonal antibodies were used: anti-α1 integrin (MAB1973Z, Chemicon International, CA, USA), anti-β3 integrin (MAB2023Z, Chemicon International), anti-α4 integrin (340976, Becton Dickinson, NJ, USA), anti-integrins αv, β1, β2, α5β1, αvβ3, αvβ5 (Integrin Classics Kit, ECM435, Chemicon Interational) and a nonspecific IgG (MAB004, R&D Systems).
PARP cleavage detection by Western blot analysis
To determine the effect of TGFBI expression on PARP cleavage in the NSCLC cells in response to chemotherapy, 106 NSCLC cells were cultured in RPMI complete medium on 10 cm2 plates and allowed to adhere for 24 h. After this time, etoposide was added at the IC50 (50 μM for H1299 cells and 5 μM for A549 cells) for 48 h. Then, protein extracts were collected and transferred to nitrocellulose membranes as described . The membranes were blocked by incubating them overnight in a solution of 5% non-fat dry milk in PBS-Tween. Primary PARP antibody (Cell Signaling, MA, USA) incubation was performed for 1 h at room temperature (1:1000 dilution). Membranes were washed three times with PBS-Tween 0.2% and incubated with an HRP-conjugated anti-rabbit IgG (sc-2030, Santa Cruz Biotechnology, CA, USA) in 5% non-fat dry milk in PBS-Tween. The signal was developed using the Lumi-lightPLUS Western Blotting Kit (Roche Molecular Biochemicals, Mannheim, Germany).
Integrin αvβ3 flow cytometry
For determination of integrin αvβ3 expression on the surface of NSCLC cells, 1 × 105 cells A549 and H1299 cells were cultured to subconfluency in 6 well plates containing 1 mL of complete cell growth media. Afterwards, the cells were harvested and resuspended in 100 μl of staining buffer (5% FBS, EDTA 2 mM in PBS) and incubated for 10 min at room temperature with a concentration of 1 μg/ml of the, anti-integrin αvβ3 (Integrin Classics Kit, ECM435, Chemicon Interational) monoclonal antibody or a non-specific IgG (MAB004, R&D Systems). Afterwards, the cells were washed with staining buffer and subsequently incubated with 1:500 green-fluorescent Alexa Fluor 488 anti-mouse-secondary antibodies (Molecular Probes) at room temperature for 10 min. Cells were washed twice with staining buffer and analyzed on a FACScan flow cytometer using Cellquest software (BD-PharMingen).
Caspase 3/7 and caspase 8 determination
To determine caspase 3/7 activity, 104 cells were cultured in RPMI complete medium on 96-well plates coated with increasing amounts of rh-TGFBI (rhTGFBI) and allowed to adhere for 24 h. After this time caspase 3/7 activity was measured. In some instances, the cells were allowed to adhere to non-coated wells for 8 h and then incubated with increasing amounts of rh-TGFBI for 24 h. To measure caspase 3/7 activity after etoposide treatment, NSCLC cells were incubated with this drug at the IC50 (50 μM for H1299 cells and 5 μM for A549 cells) for additional 24 h after being treated with or seeded onto rh-TGFBI, and caspase activity was measured afterwards.
For αvβ3 integrin blocking experiments, 104 cells were cultured in RPMI complete medium on 96-well plates and always allowed to adhere to non-coated surfaces for 8 h. After this time, the cells were pre-incubated for 1 h with 1 μg/mL of the monoclonal anti-αvβ3 integrin antibody (Chemicon, IL, USA). Then, 20 μg/mL of rh-TGFBI was added to the cells without removing the anti-integrin monoclonal antibody. When indicated, 24 h latter, etoposide was added at its IC50 for additional 24 h. Caspase 3/7 activity was estimated using the Caspase-Glo 3/7 Assay (Promega, Madrid, Spain) and quantified on a Polar Star Galaxy plate reader (BMG, Offenburg, Germany), using 530 emission filters. Three replicates were assayed for each condition.
To analyze the effects of RGD peptides on the apoptosis of NSCLC cells, we collected supernatants from A549 and H1299 cultures after cells were transiently transfected with the TGFBI expression vector. The amount of TGFBI protein in the cell supernatants was estimated by densitometric analysis of Western-blot bands using as reference, the intensity of 10 ng of recombinant protein loaded in the first lane of each gel. NSCLC cell supernatants were collected 24 h later and filtered through a 3 kDa exclusion column (Centricon, MA, USA). Both the concentrate (TGFBI < 3 kDa) and the filtrate (TGFBI > 3 kDa) were added to different A549 and H1299 cultures at a final concentration of 1× for 4, 8, 12 or 24 h. At each time-point, caspase 3/7 and caspase 8 activity were measured using the Caspase-Glo Assay (Promega) as above.
Non-parametrical Kruskal-Wallis and pairwise Mann-Whitney U tests were used to compare TGFBI expression in NSCLC samples according to response to treatment. To asses overall survival, Kaplan-Meier curves were calculated and comparison was performed by log-rank test. The median (H-score 150) was chosen as a cut-off point. Student t-test statistical analysis was performed to compare different treatments in the vitro experiments. All the analyses were performed using SPSS 15.0 (Chicago, IL). A p value less than 0.05 was considered statistically significant.
We are grateful to Patricia Martín and Saray Garasa for technical assistance.
This work was funded through the UTE Project CIMA. MI is recipient of a fellowship from the Department of Education from the Government of Navarra (Spain) and JA is supported by a fellowship from the Instituto de Salud Carlos III, Ministry of Health (Spain).
- Paget S: The distribution of secondary growths in cancer of the breast. Cancer Metastasis Rev. 1989, 8: 98-101.PubMedGoogle Scholar
- Fidler IJ: The pathogenesis of cancer metastasis: the 'seed and soil' hypothesis revisited. Nat Rev Cancer. 2003, 3: 453-8. 10.1038/nrc1098View ArticlePubMedGoogle Scholar
- Mueller MM, Fusenig NE: Friends or foes - bipolar effects of the tumour stroma in cancer. Nat Rev Cancer. 2004, 4: 839-49. 10.1038/nrc1477View ArticlePubMedGoogle Scholar
- Vincent TL, Gatenby RA: An evolutionary model for initiation, promotion, and progression in carcinogenesis. Int J Oncol. 2008, 32: 729-737.PubMedGoogle Scholar
- Sternlicht MD, Werb Z: How matrix metalloproteinases regulate cell behavior. Annu Rev Cell Dev Biol. 2001, 17: 463-516. 10.1146/annurev.cellbio.17.1.463PubMed CentralView ArticlePubMedGoogle Scholar
- Moschos SJ, Drogowski LM, Reppert SL, Kirkwood JM: Integrins and cancer. Oncology (Williston Park). 2007, 9 (Suppl 3): 13-20.Google Scholar
- Skonier J, Neubauer M, Madisen L, Bennett K, Plowman GD, Purchio AF: cDNA cloning and sequence analysis of beta ig-h3, a novel gene induced in a human adenocarcinoma cell line after treatment with transforming growth factor-beta. DNA Cell Biol. 1992, 11: 511-22. 10.1089/dna.1992.11.511View ArticlePubMedGoogle Scholar
- Thapa N, Lee BH, Kim IS: TGFBIp/betaig-h3 protein: a versatile matrix molecule induced by TGF-beta. Int J Biochem Cell Biol. 2007, 39: 2183-94. 10.1016/j.biocel.2007.06.004View ArticlePubMedGoogle Scholar
- Kim JE, Kim SJ, Lee BH, Park RW, Kim KS, Kim IS: Identification of motifs for cell adhesion within the repeated domains of transforming growth factor-beta-induced gene, betaig-h3. J Biol Chem. 2000, 275: 30907-15. 10.1074/jbc.M002752200View ArticlePubMedGoogle Scholar
- Kitahara O, Furukawa Y, Tanaka T, Kihara C, Ono K, Yanagawa R, Nita ME, Takagi T, Nakamura Y, Tsunoda T: Alterations of gene expression during colorectal carcinogenesis revealed by cDNA microarrays after laser-capture microdissection of tumor tissues and normal epithelia. Cancer Res. 2001, 61: 3544-9.PubMedGoogle Scholar
- Ivanov SV, Ivanova AV, Salnikow K, Timofeeva O, Subramaniam M, Lerman MI: Two novel VHL targets, TGFBI (BIGH3) and its transactivator KLF10, are up-regulated in renal clear cell carcinoma and other tumors. Biochem Biophys Res Commun. 2008, 370: 536-40. 10.1016/j.bbrc.2008.03.066PubMed CentralView ArticlePubMedGoogle Scholar
- Matsuda D, Khoo SK, Massie A, Iwamura M, Chen J, Petillo D, Wondergem B, Avallone M, Kloostra SJ, Tan MH: Identification of copy number alterations and its association with pathological features in clear cell and papillary RCC. Cancer Lett. 2008, 272: 260-7. 10.1016/j.canlet.2008.06.015View ArticlePubMedGoogle Scholar
- Schneider D, Kleeff J, Berberat PO, Zhu Z, Korc M, Friess H, Büchler MW: Induction and expression of betaig-h3 in pancreatic cancer cells. Biochim Biophys Acta. 2002, 1588: 1-6.View ArticlePubMedGoogle Scholar
- Becker J, Volland S, Noskova I, Schramm A, Schweigerer LL, Wilting J: Keratoepithelin reverts the suppression of tissue factor pathway inhibitor 2 by MYCN in human neuroblastoma: a mechanism to inhibit invasion. Int J Oncol. 2008, 32: 235-40.PubMedGoogle Scholar
- Calaf GM, Echiburu-Chau C, Zhao YL, Hei TK: BigH3 protein expression as a marker for breast cancer. Int J Mol Med. 2008, 21: 561-8.PubMedGoogle Scholar
- Ma C, Rong Y, Radiloff DR, Datto MB, Centeno B, Bao S, Cheng AW, Lin F, Jiang S, Yeatman TJ, Wang XF: Extracellular matrix protein betaig-h3/TGFBI promotes metastasis of colon cancer by enhancing cell extravasation. Genes Dev. 2008, 22: 308-21. 10.1101/gad.1632008PubMed CentralView ArticlePubMedGoogle Scholar
- Zhang Y, Wen G, Shao G, Wang C, Lin C, Fang H, Balajee AS, Bhagat G, Hei TK, Zhao Y: TGFBI deficiency predisposes mice to spontaneous tumor development. Cancer Res. 2009, 69: 37-44. 10.1158/0008-5472.CAN-08-1648PubMed CentralView ArticlePubMedGoogle Scholar
- Zhao YL, Piao CQ, Hei TK: Downregulation of Betaig-h3 gene is causally linked to tumorigenic phenotype in asbestos treated immortalized human bronchial epithelial cells. Oncogene. 2002, 21: 7471-7. 10.1038/sj.onc.1205891View ArticlePubMedGoogle Scholar
- Zhao YL, Piao CQ, Hei TK: Tumor suppressor function of Betaig-h3 gene in radiation carcinogenesis. Adv Space Res. 2003, 31: 1575-82. 10.1016/S0273-1177(03)00094-2View ArticlePubMedGoogle Scholar
- Zhao Y, El-Gabry M, Hei TK: Loss of Betaig-h3 protein is frequent in primary lung carcinoma and related to tumorigenic phenotype in lung cancer cells. Mol Carcinog. 2006, 45: 84-92. 10.1002/mc.20167View ArticlePubMedGoogle Scholar
- Shah JN, Shao G, Hei TK, Zhao Y: Methylation screening of the TGFBI promoter in human lung and prostate cancer by methylation-specific PCR. BMC Cancer. 2008, 8: 284- 10.1186/1471-2407-8-284PubMed CentralView ArticlePubMedGoogle Scholar
- Ahmed AA, Mills AD, Ibrahim AE, Temple J, Blenkiron C, Vias M, Massie CE, Iyer NG, McGeoch A, Crawford R: The extracellular matrix protein TGFBI induces microtubule stabilization and sensitizes ovarian cancers to paclitaxel. Cancer Cell. 2007, 12: 514-27. 10.1016/j.ccr.2007.11.014PubMed CentralView ArticlePubMedGoogle Scholar
- Cheresh DA, Stupack DG: Regulation of angiogenesis: apoptotic cues from the ECM. Oncogene. 2008, 27: 6285-98. 10.1038/onc.2008.304View ArticlePubMedGoogle Scholar
- Kim JE, Kim SJ, Jeong HW, Lee BH, Choi JY, Park RW, Park JY, Kim IS: RGD peptides released from beta ig-h3, a TGF-beta-induced cell-adhesive molecule, mediate apoptosis. Oncogene. 2003, 22: 2045-53. 10.1038/sj.onc.1206269View ArticlePubMedGoogle Scholar
- Stupack Dwayne, Puente Xose, Souphaphone Boutsaboualoy, Storgard Chris, Cheresh David: Apoptosis of adherent cells by recruitment of caspase-8 to unligated integrins. J Cell Biol. 2001, 155: 459-470. 10.1083/jcb.200106070PubMed CentralView ArticlePubMedGoogle Scholar
- Youlden DR, Cramb SM, Baade PD: The International Epidemiology of Lung Cancer: geographical distribution and secular trends. J Thorac Oncol. 2008, 3: 819-31. 10.1097/JTO.0b013e31818020ebView ArticlePubMedGoogle Scholar
- Jemal A, Siegel R, Ward E, Hao Y, Xu J, Murray T, Thun MJ: Cancer statistics 2008. CA Cancer J Clin. 2008, 58: 71-96. 10.3322/CA.2007.0010View ArticlePubMedGoogle Scholar
- Zutter MM: Integrin-mediated adhesion: tipping the balance between chemosensitivity and chemoresistance. Adv Exp Med Biol. 2007, 608: 87-100. full_textView ArticlePubMedGoogle Scholar
- Tredan O, Galmarini CM, Patel K, Tannock IF: Drug resistance and the solid tumor microenvironment. J Natl Cancer Inst. 2007, 99: 1441-54. 10.1093/jnci/djm135View ArticlePubMedGoogle Scholar
- Bernstein LR, Liotta LA: Molecular mediators of interactions with extracellular matrix components in metastasis and angiogenesis. Curr Opin Oncol. 1994, 6: 106-13. 10.1097/00001622-199401000-00015View ArticlePubMedGoogle Scholar
- Lee BH, Bae JS, Park RW, Kim JE, Park JY, Kim IS: betaig-h3 triggers signaling pathways mediating adhesion and migration of vascular smooth muscle cells through alphavbeta5 integrin. Exp Mol Med. 2006, 38: 153-61.View ArticlePubMedGoogle Scholar
- Bae JS, Lee SH, Kim JE, Choi JY, Park RW, Yong Park J, Park HS, Sohn YS, Lee DS, Bae Lee E: Betaig-h3 supports keratinocyte adhesion, migration, and proliferation through alpha3beta1 integrin. Biochem Biophys Res Commun. 2002, 294: 940-8. 10.1016/S0006-291X(02)00576-4View ArticlePubMedGoogle Scholar
- Jeong HW, Kim IS: TGF-beta1 enhances betaig-h3-mediated keratinocyte cell migration through the alpha3beta1 integrin and PI3K. J Cell Biochem. 2004, 92: 770-80. 10.1002/jcb.20110View ArticlePubMedGoogle Scholar
- Nam JO, Kim JE, Jeong HW, Lee SJ, Lee BH, Choi JY, Park RW, Park JY, Kim IS: Identification of the alphavbeta3 integrin-interacting motif of betaig-h3 and its anti-angiogenic effect. J Biol Chem. 2003, 278: 25902-9. 10.1074/jbc.M300358200View ArticlePubMedGoogle Scholar
- Irigoyen M, Anso E, Salvo E, de las Herrerias JD, Martinez-Irujo JJ, Rouzaut A: TGFbeta-induced protein mediates lymphatic endothelial cell adhesion to the extracellular matrix under low oxygen conditions. Cell Mol Life Sci. 2008, 65: 2244-55. 10.1007/s00018-008-8071-9View ArticlePubMedGoogle Scholar
- Morand S, Buchillier V, Maurer F, Bonny C, Arsenijevic Y, Munier FL, Schorderet DF: Induction of apoptosis in human corneal and HeLa cells by mutated BIGH3. Invest Ophthalmol Vis Sci. 2003, 44: 2973-9. 10.1167/iovs.02-0661View ArticlePubMedGoogle Scholar
- Perlot RL, Shapiro IM, Mansfield K, Adams CS: Matrix regulation of skeletal cell apoptosis II: role of Arg-Gly-Asp-containing peptides. J Bone Miner Res. 2002, 17: 66-76. 10.1359/jbmr.2002.17.1.66View ArticlePubMedGoogle Scholar
- Gong W, Liu Y, Huang B, Lei Z, Wu FH, Li D, Feng ZH, Zhang GM: Recombinant CBD-HepII polypeptide of fibronectin inhibits alphavbeta3 signaling and hematogenous metastasis of tumor. Biochem Biophys Res Commun. 2008, 367: 144-9. 10.1016/j.bbrc.2007.12.110View ArticlePubMedGoogle Scholar
- Landen CN, Kim TJ, Lin YG, Merritt WM, Kamat AA, Han LY, Spannuth WA, Nick AM, Jennnings NB, Kinch MS: Tumor-selective response to antibody-mediated targeting of alphavbeta3 integrin in ovarian cancer. Neoplasia. 2008, 10: 1259-67.PubMed CentralView ArticlePubMedGoogle Scholar
- Simon GR, Begum M, Bepler G: Setting the stage for tailored chemotherapy in the management of non-small cell lung cancer. Future Oncol. 2008, 4: 51-9. 10.2217/14796622.214.171.124View ArticlePubMedGoogle Scholar
- Brambilla E, Travis WD, Colby TV, Corrin B, Shimosato Y: The new World Health Organization classification of lung tumours. Eur Respir J. 2001, 18: 1059-68. 10.1183/09031936.01.00275301View ArticlePubMedGoogle Scholar
- McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM: REporting recommendations for tumour MARKer prognostic studies (REMARK) Statistics Subcommittee of the NCI-EORTC Working Group on Cancer Diagnostics. Br J Cancer. 2005, 93 (4): 387-9. 10.1038/sj.bjc.6602678PubMed CentralView ArticlePubMedGoogle Scholar
- Cortes J, Rodriguez J, Diaz-Gonzalez JA, Garzon C, Gurpide A, Arbea L, Gil-Bazo I, Navarro V, Cambeiro M, Nicolas AI: Comparison of unidimensional and bidimensional measurements in metastatic non-small cell lung cancer. Br J Cancer. 2002, 87 (2): 158-60. 10.1038/sj.bjc.6600449PubMed CentralView ArticlePubMedGoogle Scholar
- Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, Dancey J, Arbuck S, Gwyther S, Mooney M: New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009, 45 (2): 228-47. 10.1016/j.ejca.2008.10.026View ArticlePubMedGoogle Scholar
- Camp RL, Rimm EB, Rimm DL: Met expression is associated with poor outcome in patients with axillary lymph node negative breast carcinoma. Cancer. 1999, 86: 2259-65. 10.1002/(SICI)1097-0142(19991201)86:11<2259::AID-CNCR13>3.0.CO;2-2View ArticlePubMedGoogle Scholar
- Irigoyen M, Anso E, Martinez E, Garayoa M, Martinez-Irujo JJ, Rouzaut A: Hypoxia alters the adhesive properties of lymphatic endothelial cells. A transcriptional and functional study. Biochim Biophys Acta. 2007, 1773: 880-90. 10.1016/j.bbamcr.2007.03.001View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.