- Research article
- Open Access
- Open Peer Review
The role of TGFBI in mesothelioma and breast cancer: association with tumor suppression
© Li et al.; licensee BioMed Central Ltd. 2012
- Received: 13 November 2011
- Accepted: 21 May 2012
- Published: 13 June 2012
Transforming growth factor β induced (TGFBI) product, an extracellular matrix (ECM) protein, has been implicated as a putative tumor suppressor in recent studies. Our previous findings revealed that expression of TGFBI gene is down-regulated in a variety of cancer cell lines and clinical tissue samples. In this study, ectopic expression of TGFBI was used to ascertain its role as a tumor suppressor and to determine the underlying mechanism of mesothelioma and breast cancer.
Cells were stably transfected with pRc/CMV2-TGFBI and pRc/CMV2-empty vector with Lipofectamine Plus. Ectopic expression of TGFBI was quantified by using quantitative PCR and Western-blotting. Characterization of cell viability was assessed using growth curve, clonogenic survival and soft agar growth. The potential of tumor formation was evaluated by an in vivo mouse model. Cell cycle was analyzed via flow cytometry. Expressions of p21, p53, p16 and p14 were examined using Western-blotting. Senescent cells were sorted by using a Senescence β-Galactosidase Staining Kit. Telomerase activity was measured using quantitative telomerase detection kit.
In this study, an ectopic expression of TGFBI in two types of cancer cell lines, a mesothelioma cell line NCI-H28 and a breast cancer cell line MDA-MB-231 was found to have reduced the cellular growth, plating efficiency, and anchorage-independent growth. The tumorigenicity of these cancer cell lines as determined by subcutaneous inoculation in nude mice was similarly suppressed by TGFBI expression. Likewise, TGFBI expression reduced the proportion of S-phase while increased the proportion of G1 phase in these cells. The redistribution of cell cycle phase after re-expression of TGFBI was correspondent with transiently elevated expression of p21 and p53. The activities of senescence-associated β-galactosidase and telomerase were enhanced in TGFBI-transfected cells.
Collectively, these results imply that TGFBI plays a suppressive role in the development of mesothelioma and breast cancer cells, possibly through inhibitions of cell proliferation, delaying of G1-S phase transition, and induction of senescence.
- Tumor suppressor
- Breast tumor
TGFBI, also called Betaig-h3, was first identified during the 1990s, when it was isolated from a human lung adenocarcinoma cell line (A549) which had been treated with TGF-β . The TGFBI protein contains a secretary signal sequence (residues 1–23), four homologous internal domains, and a cell attachment (RGD) site [2, 3]. TGFBI is secreted into the extracellular matrix (ECM) as an attachment protein. It functions mainly in cell adhesion, migration, proliferation, apoptosis, and angiogenesis [4–11]. Mutations of the TGFBI gene have been shown to be involved in several corneal dystrophies [12, 13]. TGFBI mRNA and protein are up-regulated in different types of cell lines, including human epithelial cells, keratinocytes, lung fibroblasts, and melanoma cells. More recently, the TGFBI gene has been found to be frequently associated with cancer development. The expression of TGFBI is either down-regulated or lost in a variety of human tumor cell lines [4, 14, 15]. Transfection of TGFBI-expression plasmids into CHO cells led to a marked inhibition of tumor formation in nude mice. Ectopic expression of TGFBI in tumorigenic human bronchial epithelial cells induced by radiation and asbestos fibers significantly suppressed the tumorigenicity of those cells [3, 14, 16]. Recent findings have suggested that TGFBI also sensitizes ovarian cancer cells to paclitaxel by inducing microtubule stabilization and that the loss of TGFBI induces drug resistance and mitotic spindle abnormalities in ovarian cancer cells .
Malignant pleural mesothelioma (MPM) is an asbestos-related malignancy characterized by rapid, progressive, diffused growth and metastasis. The latency between tumor onset and the first exposure to asbestos or other carcinogenic fibers is extremely long, averaging over 30 years. Due to the long latency and extensive history of the use of asbestos in many industries, the incidence of MPM is expected to increase over the next few decades. It is estimated that about 2,500–3,000 new cases arise each year in United States and in Europe. An estimated 250,000 people will die of MPM in the next three decades [18, 19]. Breast cancer, the most common malignancy in women living in western countries, has also been increasing in the rest of the world . In the United States, breast cancer is the second most common cause of cancer deaths in women. Although the mechanism of how these two types of malignancy undergo malignant transformation remains largely unknown, evidence indicate a multistep process involving both activation of oncogenes and inactivation of tumor suppressor genes exists [21, 22] The observation that many late-stage tumors are highly resistant to traditional chemotherapy and radiation therapy, highlights the need for innovative therapies based on mechanistic insight of the cancer process. In this regard, the potential role of TGFBI as a tumor suppressor may provide a novel target for manipulation and therapeutic purposes.
Effects of TGFBI on tumor cell growth in vitro
Effects of TGFBI on tumor development in vivo
Suppression of in vivo tumor growth by ectopic expression of TGFBI in breast cancer cells
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tumor volume at 12 w (mm3)
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264.55 ± 28.94
225 ± 32.69
Effects of TGFBI on G1 phase arrest and S phase delay
Effects of TGFBI on cellular senescence
TGFBI, an extracellular secreted matrix protein, was originally implicated as a regulator of cell adhesion and migration. More recently, down-regulation of TGFBI expression has been reported to be involved in the development of human tumors, including lung, breast, ovarian, prostate, embryonic rhabdomyosarcoma, insulinoma, and mesenchymal tumors [14, 16, 29–33]. Loss of TGFBI expression has also been observed in neoplastic transformation in CHO cells and papillomavirus-immortalized human bronchial epithelial cells [3, 14, 16].
The physiological role of TGFBI is still largely unknown. It has been reported that the embryonic expression of TGFBI is particularly strong in the mesenchyme of many tissues throughout all stages of development . In addition, immunohistochemical analysis has demonstrated that TGFBI proteins are deposited in ECM and in cytoplasm and nuclei. Analyses of medium and matrix fractions displayed a protein at 70–74 kDa, and nuclear extracts showed a 65 kDa reactive protein band . We also found that TGFBI protein localized not only in cell culture medium and cytoplasm, but also in the nuclei of TGFBI-transfected tumor cells and immortalized epithelial cells (Met-5A cells and MCF-10 F cells). The diverse distribution of TGFBI suggests that the functions of TGFBI may not be limited to its role as a component of ECM.
The FAS1 domains of TGFBI have been shown to inhibit tumor angiogenesis and tumor growth and to promote apoptosis. This is also consistent with a tumor suppressor role for TGFBI . Recent evidence has shown that TGFBI expression causes significantly higher sensitivity to apoptotic induction by upregulation of IGFBP3 . It also repressed tumor cell invasion, possibly by suppressing the PI3K/Akt/mTOR signaling pathway . Loss of TGFBI expression is frequent in human cancer and it has been causally related to acquisition of tumorigenic phenotype in asbestos-treated immortalized human bronchial epithelial cells. In this study, by re-introduction of TGFBI into tumor cell lines MDA-MB-231 and NCI-H28, which have naturally low levels of TGFBI, we substantiated the role of TGFBI as a tumor suppressor and more importantly discovered previously unknown portions of its underlying mechanism.
Our data show that TGFBI significantly reduced cell growth rate, plating efficiency, and anchorage-independent growth. These parameters are often used to assess the fundamental characteristics linked to the functions of oncogenes and tumor suppressors. The results are consistent with proposed biological functions of TGFBI and results obtained from this and previous studies [1, 36]. Cell cycle progression through G1 phase into S phase is a major checkpoint for cells during proliferation. Dysregulation of the G1/S transition may arrest the cells in quiescence or drive them into nonstop proliferation, depending on the specific scenario. A number of oncogenes and tumor suppressors affect the G1/S transition directly or indirectly, notably cyclin A1, p21, and p53 . Data from this study demonstrates that TGFBI upregulates p53 and p21. This suggests that the inhibitory effect of TGFBI on this checkpoint may be related to these two molecules.
Earlier, our group presented evidence that TGFBI deficiency can lead to mutations, chromosomal fragmentation, and genetic instability, which in turn promotes tumor development. Similarly, ablation of TGFBI increases the frequency of chromosomal aberration and micronuclear formation, as observed in fibroblast cells isolated from TGFBI knock-out mice. However, these cells also showed more proliferation and earlier entry into S-phase entry than those of wild-type mice . In this study we did not check for genetic instability but rather precisely reproduced the evidence of TGFBI’s inhibitory effects on cell proliferation, transformation, and G1/S transition using a different model, which strongly supported the conclusion that TGFBI is a tumor suppressor. It may execute its function by modulating or interacting with other cell cycle effectors, ultimately leading to unchecked cell proliferation and malignant transformation.
Cellular senescence is defined as a state of irreversible arrest in cell division after a period of serial proliferation in normal diploid cells . It can also serve as a stress protective response. It can be triggered by a number of sensing mechanisms, such as telomere shortening, epigenetic derepression of the INK4a/ARF locus that encodes two physically linked tumor suppressor proteins p16/p14, and DNA damage . p16 has been shown to inhibit the ability of cyclin D1 to hinder S-phase entry, which is one of the possible mechanisms involved in the regulation of cellular senescence . Escaping senescence is a prerequisite for cell immortalization and transformation [43–45]. We therefore asked if TGFBI’s inhibitory effect on cellular transformation (anchorage-independent growth and malignancy) is related to its modulation of senescence. To our surprise, an enhanced senescence accompanied by the expression of TGFBI was evidenced by the increased levels of SA-β-gal, a classic marker of cellular senescence.
Elevation of telomerase activity, another sign of senescence, however, exhibited different pattern in mesothelioma and breast cancer cells. In NCI-H28 cells, telomerase activity increased significantly with the expression of TGFBI, which directs cells into senescence. The loss of TGFBI is therefore believed to contribute to the escape of cells from senescence. However, TGFBI did not affect telomerase activity in MDA-MB-231 cells. The expression of p16 and p14 showed no significant difference between TGFBI-expressing and control cells. Homozygous deletion of the p16 gene has been reported in 85% of mesothelioma cell lines, including NCI-H28 cells and 22% of primary tumor specimens [46, 47]. This makes it difficult to assess the functional association between TGFBI and p16. Other mechanisms may be involved in controlling the process, p21 and p53 are potential candidates [48, 49]. In both types of cells, p21 and p53 were both up-regulated upon TGFBI expression. Our results clearly showed that SA-β-gal and telomerase activity were both up-regulated by TGFBI re-expression. This may suggest that TGFBI carries out its inhibitory functions on cellular senescence involving p21 and p53.
Further results derived from in vivo substantiated the role of TGFBI as a tumor suppressor. After implanting cells with TGFBI and leaving others without, we analyzed the onset, incidence, and volume of the resulting tumors in mice, in order to assess the tumor suppressive effect of TGFBI. Although TGFBI did not completely block the formation of tumors derived from injection of MDA-MB-231 cells, the onset of tumor formation was delayed, tumor volume was greatly reduced, and the number of tumors decreased dramatically. This is in accordance with our previous data, which showed that TGFBI suppresses tumorigenic phenotypes in lung and human bronchial epithelial cells induced by radiation and asbestos [14, 16, 29]. Unfortunately, both TGFBI-expressing and vector control meosthelioma cells failed to produce progressively growing tumors even at 5 months after cell inoculation. We are not sure what the exact reason for this may be. One explanation could be that the residual immunity of nude mice may still be able to reject some types of cells. One alternative means of evaluating these phenomena would be to use SCID mice, which lack both T and B lymphocytes, unlike nude mice, which only lack T cells. For further evaluation of the inhibitory role of TGFBI on a molecular level, tissue slides dissected from tumors in each group were stained with the nuclear antigen ki67, which serves as a marker of cellular proliferation capacity [23, 50]. The number of ki67-positive cells inversely correlated with the level of TGFBI expression; the more ki67-positive cells observed in the vector control groups, the stronger the evidence that TGFBI diminishes the ability of cells to proliferate and therefore inhibits tumorigenicity in vivo. We here present strong evidence that unequivocally supports that TGFBI exhibits an inhibitory effect on tumor growth both in vitro and in vivo, especially in mesothelioma and breast cancer cells.
Contrary evidence from other groups was brought into our attention. For example, it has been suggested that TGFBI increases the metastatic ability of colon and an ovarian cancer cell lines [51, 52] In addition, TGFBI has been shown to be over-expressed in pancreatic cancer, renal cell carcinoma and glioblastoma [53–55]. It is likely that TGFBI protein may function in multiple ways depending on tissue type and tumor microenvironment. TGFBI gene is a downstream target of transforming growth factor beta (TGF-β) that inhibits the proliferating of normal epithelial cells and functions as a tumor suppressor in early tumorigenesis as well as a tumor promoter in later stage of tumor progression. This stage-specific dual functional role of TGFBI in cancer represents an emerging paradigm whereas the mechanism behind is not well understood. We are planning to expand our research to more type of cell lines and clinical samples. Our particular focus will be on the questions left unanswered by this and other reports.
In summary, our study is the first to show that TGFBI inhibits cell proliferation and transformation by delaying G1-S phase transition and inducing cellular senescence in mesothelioma and breast cancer cells, indicating that TGFBI may serve as a negative regulatory effector and potential tumor suppressor in the development of malignances such as mesothelioma and breast cancer. Our findings may offer a new vision for the management of certain types of cancers.
Cell culture and stable transfection of TGFBI
Human malignant pleural mesothelioma cell line (NCI-H28) and a breast tumor cell line (MDA-MB-231) were obtained from the American Type Culture Collection (ATCC; Manassas, VA, U.S.) and grown in Dulbecco’s Modified Eagle medium (DMEM) supplemented with 10% fetal bovine serum (FBS). Cells were plated into 6-well plates and transfected with either pRc/CMV2-TGFBI or pRc/CMV2-empty vector with Lipofectamine Plus (Invitrogen, Carlsbad, CA, U.S.). The cells were split at 1:10 and cultured in medium containing 700 μg/ml of G418 (Sigma-Aldrich, St. Louis, MO, U.S.) for 21 d. Resistant colonies were isolated, expanded in cultures, and maintained in the presence of 300 μg/ml of G418.
The expression of TGFBI mRNA was analyzed by quantitative real-time reverse transcription-PCR (RT-PCR; Applied Biosystems 7300, Foster City, CA, U.S.) using a RT2 Real-time SYBR Green/ROX Gene Expression Assay Kit (SuperArray Bioscience Corp., Frederick, MD, U.S.). The first strand of cDNA was synthesized from 4 μg total RNA using SuperScript II First-Strand Synthesis System (Invitrogen). Relative quantification of TGFBI mRNA expression was performed using real-time PCR. A comparative threshold cycle (Ct) was used to determine the expression level. The expression levels of TGFBI mRNA were expressed as an n-fold difference relative to the calibrator. Briefly, the TGFBI mRNA Ct value was normalized using the following formula: ▵Ct = Ct TGFBI - Ct GAPDH . To determine relative expression levels, the following formula was used: ▵▵Ct = ▵Ct sample - ▵Ct calibrator . The resulting values were used to plot the TGFBI expression using the expression 2▵▵Ct.
Expression of the TGFBI protein in the supernatant of cells was confirmed by Western blotting. Cells were plated and grown in DMEM with 10% FBS for 24 h. They were then transferred to serum-free medium and maintained for another 24 h. The medium was then harvested and trichloroacetic acid (TCA) was added to a final concentration of 10%. It was then incubated at RT for 30 min, centrifuged with 13,000 rpm at 4°C for 30 min, and the supernatant was aspirated. The pellet was washed three times with acetone and then air dried. Fifty microliters of laemmli sample buffer was added to the pellet and boiled for 5 min. It was then resolved on SDS-PAGE. The gels were transferred onto PVDF membrane and incubated serially with monoclonal anti-human TGFBI (R&D Systems, Minneapolis, MN, U.S.) followed by sheep anti-mouse IgG conjugated with horseradish peroxidase as secondary antibody (Amersham Biosciences, Piscataway, NJ, U.S.). Multiple clones were chosen for the study, and similar results were observed with each. The results shown in this manuscript are representatives of the findings.
The expression of TGFBI and Ki-67 was measured by immunohistochemical staining. Cells were fixed in 4% paraformaldehyde and then incubated in 0.3% hydrogen peroxide in absolute methanol for 30 min to quench the endogenous peroxide activity. Immunostaining was performed with a Vestastain Elite ABC Kit (Vector Laboratories, Burlingame, CA, U.S.). Briefly, the slides were blocked with horse serum for 30 min and then incubated with anti-human TGFBI antibody or anti-mouse Ki-67 antibody (Santa Cruz Biotechnology, CA, U.S.) overnight at 4°C. After washing with PBS, biotin-conjugated secondary antibody was applied to the slides for 30 min, followed by avidin-biotin-peroxidase complex for 30 min. The slides were then exposed to a reaction solution containing the chromogen, 3,3′-diaminobenzidine (DAB) for 6 min, washed with distilled water, and counterstained with Meyer’s hematoxylin for 10 s. The slides were dehydrated, cleared, and mounted. The slides were examined and representative pictures were captured using an Olympus B × 60 camera. More brown nuclei than blue were noted for ki67-positive cells. Five hundred cells on each slide were evaluated using 40× magnification over the hotspot. Data are shown as number of ki67 positive cells relative to the number of V23101 cells, *, P < 0.01.
Growth curve assay
Five thousand cells were plated in 35 mm dishes in complete medium. The medium was changed every 3 days. At specific points in time after plating (Days 0, 1, 2, 3, 5, 7, 11, and 13), cells were trypsinized and the number of cells was determined using a Coulter Counter (Beckman Coulter Inc. Miami, FL, U.S.). The doubling time of the culture was analyzed using the formula: Nt = N0 2tf; doubling time = 1/f; Nt: number of cells at time t; N0: initial number of cells; t: time (days); f: frequency of cell cycles per unit time.
Clonogenic survival assay
Cells were trypsinized and counted with a Coulter Counter. Aliquots of the cells were seeded into dishes 100 mm in diameter. After two weeks of incubation at 37°C and 5% CO2, the colonies formed were fixed with formaldehyde, stained with Giemsa, and counted using an Oxford Optronix Colony Counter (Oxford Optronix Company, UK). The relative plating efficiencies (PE) were determined using the following formula: Relative PE = number of colonies of TGFBI expression or vector control cells / number of colonies of parental cells.
Soft agar assay
Two thousand cells were mixed with 1 mL of 0.35% agarose and plated into 35 mm dishes with a bottom layer of 0.75% agarose. Cells were fed every 3 days with 1 ml culture medium. The colonies were counted two weeks after initial plating. Data are presented as ratio of number of colonies of TGFBI expression or vector control cells / number of colonies of parental cells. Data points in figures represent three independent experiments.
Cell cycle analysis
Cells were arrested in quiescence by serum starvation in serum-free DMEM medium supplemented with 1% bovine serum albumin (BSA) for 36 h. Cells were stimulated to reenter the cell cycle by replenishing with fresh medium containing 10% serum. At different points in time after serum stimulation, cells were fixed with ice cold 75% ethanol. Cells were labeled with propidium iodide (PI) and analyzed using a FACSCalibur flow cytometer (BD Biosciences, San Jose, CA, U.S.). Line graphs and plots illustrate the distribution of cells in the G1 and S phases over a period of 32 h. Comparisons between TGFBI-transfected cells and empty control cells were determined using the Student’s t-test. *, P <0.05 was considered to be significant.
Cell proliferation assay
Proliferation was assessed by CyQUANT NF Cell Proliferation Assay according to the manufacturer’s instructions (Invitrogen, Molecular Probes, Inc. Eugene, OR, U.S.). Briefly, after 0, 12, 16, 20, and 24 h of serum stimulation, cells were washed with PBS and incubated for 1 h with the fluorescence substrate. Fluorescence intensity was measured on an automatic microplate reader (Bio-Tec, Winooski, VT, U.S.). Data are shown as in percentages: [(fluorescence intensity at time t – fluorescence intensity at 0 h) / fluorescence intensity at 0 h] * 100%.
Proteins were extracted with lysis buffer (50 mM Tris–HCl, pH 8.0, 150 mM NaCl, 1% NP-40, 0.1% sodium dodecyl sulfate, 1 mM phenylmethylsulfonyl fluoride and protease inhibitor cocktails). Protein concentrations were determined using the Bio-Rad protein Assay (Bio-Rad, Hercules, CA, U.S.). Equal amounts of protein (30 μg) were fractionated by SDS-PAGE and transferred onto PVDF membranes under semi-dry conditions. Antibodies against p21, p53, p16, p14, and β-actin were obtained from Cell Signaling Technology, Inc. (Danvers, MA, U.S.). Secondary antibodies were purchased from Amersham Biosciences and signals were detected using an enhanced chemiluminescence (ECL) method according to the manufacturer’s instructions (Amersham Biosciences, Piscataway, NJ, U.S.).
Senescence associated β-galactosidase staining
Senescent cells were detected using a Senescence β-Galactosidase Staining Kit (Cell Signaling Technology Inc, MA, U.S.). Briefly, cell monolayers were washed twice with PBS and then fixed with fixative solution for 15 min. The cells were then washed twice with PBS. Staining solution (930 μl Staining Solution; 10 μl Staining Supplement A; 10 μl Staining Supplement B; 50 μl 20 mg/ml X-gal in DMF) was applied and then the cells were incubated at 37°C for 16 h. After incubation, the cells were washed twice with PBS and photographed using an Olympus camera.
Telomerase activity was evaluated using quantitative telomerase detection kit (QTD kit, US Biomax, Inc, MD, U.S.). Briefly, cells were lysed in 1 × lysis buffer and incubated at 4°C for 30 min. The lysate was then centrifuged at 12,000 × g for 20 min at 4°C, and the supernatant was collected. The protein concentration of the cell lysate was determined using a Bio-Rad protein Assay. Standards, inactivated samples, and template-free reactions were also assayed on every plate for quality control purposes. Each sample was analyzed in triplicate. Real-time amplifications were performed on an ABI Prism 7300 Sequence Detection System (Applied Biosystems, CA, U.S.). A comparative threshold cycle (Ct) was used to determine telomerase activity, which is negatively related to the Ct of real-time PCR.
Tumorigenicity in vivo
Male Nu/Nu mice (purchased from Harlan Sprague–Dawley, Inc. Indianapolis, IN, U.S.) were housed under pathogen-free conditions. The animals were lightly anesthetized with isoflurane, and then 5×106 of parental, vector control, and TGFBI-transfected tumor cells were injected subcutaneously into the left and right flanks of each animal (Anaquest, Madison, WI, U.S.). Animals were maintained under sterile conditions for 5 months and palpated weekly for tumor formation. Animals were killed as soon as tumor nodules reached a size of 0.5–0.8 cm. All animal studies were conducted at Columbia University under strict Institutional Animal Care and Use Committee-approved protocols.
Data are presented as mean ± standard deviation (SD). Data were subjected to one way analysis of variance (ANOVA) and comparisons between TGFBI-transfected cells and empty vector control cells were determined using the Student’s t-test. Differences were considered statistically significant at P <0.05.
The work was supported in part by funding from National Institutes of Health grants ES05786, CA49062, Superfund grant P42 ES10349, Environmental Center grant P30 ES 09089, National Natural Science Foundation grants 81072286 and 81020108028 and Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
- Gibson MA, Kumaratilake JS, Cleary EG: The protein components of the 12-nanometer microfibrils of elastic and nonelastic tissues. J Biol Chem. 1989, 264: 4590-4598.PubMedGoogle Scholar
- Skonier J, Neubauer M, Madisen L, Bennett K, Plowman GD, Purchio AF: cDNA cloning and sequence analysis of betaig-h3, a novel gene induced in a human adenocarcinoma cell line after treatment with transforming growth factor-beta. DNA Cell Biol. 1992, 11: 511-522. 10.1089/dna.1992.11.511.View ArticlePubMedGoogle Scholar
- Skonier J, Bennett K, Rothwell V, Kosowski S, Plowman G, Wallace P, Edelhoff S, Disteche C, Neubauer M, Marquardt H: betaig-h3: a transforming growth factor-beta-responsive gene encoding a secreted protein that inhibits cell attachment in vitro and suppresses the growth of CHO cells in nude mice. DNA Cell Biol. 1994, 13: 571-584. 10.1089/dna.1994.13.571.View ArticlePubMedGoogle Scholar
- Kim JE, Kim EH, Han EH, Park RW, Park IH, Jun SH, Kim JC, Young MF, Kim IS: A TGF-beta-inducible cell adhesion molecule, betaig-h3 is downregulated in melorheostosis and involved in osteogenesis. J Cell Biochem. 2000, 77: 169-178. 10.1002/(SICI)1097-4644(20000501)77:2<169::AID-JCB1>3.0.CO;2-L.View ArticlePubMedGoogle Scholar
- Park SW, Bae JS, Kim KS, Park SH, Lee BH, Choi JY, Park JY, Ha SW, Kim YL, Kwon TH, Kim IS, Park RW: Betaig-h3 promotes renal proximal tubular epithelial cell adhesion, migration and proliferation through the interaction with alpha3beta1 integrin. Exp Mol Med. 2004, 36: 211-219.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, Kim IS: Betaig-h3 supports keratinocyte adhesion, migration, and proliferation through alpha3beta1 integrin. Biochem Biophys Res Commun. 2002, 294: 940-948. 10.1016/S0006-291X(02)00576-4.View ArticlePubMedGoogle Scholar
- Kim JE, Kim SJ, Jeong HW, Lee BH, Choi JY, Park RW, Park JY, Kim IS: RGD peptides released from betaig-h3, a TGF-beta-induced cell-adhesive molecule, mediate apoptosis. Oncogene. 2003, 22: 2045-2053. 10.1038/sj.onc.1206269.View 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: 770-780. 10.1002/jcb.20110.View ArticlePubMedGoogle Scholar
- Kim MO, Yun SJ, Kim IS, Sohn S, Lee EH: Transforming growth factor-beta-inducible gene-h3 (beta(ig)-h3) promotes cell adhesion of human astrocytoma cells in vitro: implication of alpha6beta4 integrin. Neurosci Lett. 2003, 336: 93-96. 10.1016/S0304-3940(02)01260-0.View 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: 153-161.View ArticlePubMedGoogle Scholar
- Nam JO, Kim JE, Jeong HW, Lee SJ, Lee BH, Choi JY: V: Identification of the alphavbeta3 integrin-interacting motif of betaig-h3 and its anti-angiogenic effect. J Biol Chem. 2003, 278: 25902-25909. 10.1074/jbc.M300358200.View ArticlePubMedGoogle Scholar
- Romero P, Vogel M, Diaz JM, Romero MP, Herrera L: Anticipation in familial lattice corneal dystrophy type I with R124C mutation in the TGFBI (BIGH3) gene. Mol Vis. 2008, 14: 829-835.PubMedPubMed CentralGoogle Scholar
- Poulaki V, Colby K: Genetics of anterior and stromal corneal dystrophies. Semin Ophthalmol. 2008, 23: 9-17. 10.1080/08820530701745173.View ArticlePubMedGoogle Scholar
- Zhao Y, Shao G, Piao CQ, Berenguer J, Hei TK: Down-regulation of Betaig-h3 gene is involved in the tumorigenesis in human bronchial epithelial cells induced by heavy-ion radiation. Radiat Res. 2004, 162: 655-659. 10.1667/RR3270.View ArticlePubMedGoogle Scholar
- Shao G, Berenguer J, Borczuk AC, Powell CA, Hei TK, Zhao Y: Epigenetic inactivation of Betaig-h3 gene in human cancer cells. Cancer Res. 2006, 66: 4566-4573. 10.1158/0008-5472.CAN-05-2130.View 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: 7471-7477. 10.1038/sj.onc.1205891.View ArticlePubMedGoogle Scholar
- Ahmed AA, Mills AD, Ibrahim AE, Temple J, Blenkiron C, Vias M, Massie CE, Iyer NG, McGeoch A, Crawford R, Nicke B, Downward J, et al: The extracellular matrix protein TGFBI induces microtubule stabilization and sensitizes ovarian cancers to paclitaxel. Cancer Cell. 2007, 12: 514-527. 10.1016/j.ccr.2007.11.014.View ArticlePubMedPubMed CentralGoogle Scholar
- Robinson BW, Lake RA: Advances in malignant mesothelioma. N Engl J Med. 2005, 353: 1591-1603. 10.1056/NEJMra050152.View ArticlePubMedGoogle Scholar
- Peto J, Decarli A, La Vecchia C, Levi F, Negri E: The European mesothelioma epidemic. Br J Cancer. 1999, 79: 666-672. 10.1038/sj.bjc.6690105.View ArticlePubMedPubMed CentralGoogle Scholar
- Ries L, Melbert D, Krapcho M, Mariotto A, Miller BA, Feuer EJ, Clegg L, Horner MJ, Howlader N, Eisner MP, Reichman M, Edwards BK: SEER Cancer Statistics Review. 2007, National Cancer Institute, Bethesda, 1975-2004.Google Scholar
- Grushko TA, Anne Blackwood MA, Schumm PL, Hagos FG, Adeyanju MO, Feldman Michael D, Sanders MO, Weber BL, Olufunmilayo I, Olopade OI: Molecular-cytogenetic analysis of HER-2/neu Gene in BRCA1-associated breast cancers. Cancer Res. 2002, 62: 1481-1488.PubMedGoogle Scholar
- Ellsworth RE, Deyarmin B, Hooke JA, Shriver CD: Clinical implications of the molecular relationship between HER2 and BRCA1. 2007 ASCO Annual Meeting Proceedings (Post-Meeting Edition). J Clin Oncol. 2007, 25: 10536-Google Scholar
- Romero Q, Bendah PO, Klintman M, Loman N, Ingvar C, Rydén L, Rose C, Grabau D, Borgquist S: Ki67 proliferation in core biopsies versus surgical samples - a model for neo-adjuvant breast cancer studies. BMC Cancer. 2011, 11: 341-353. 10.1186/1471-2407-11-341.View ArticlePubMedPubMed CentralGoogle Scholar
- Braig M, Lee S, Loddenkemper C, Rudolph C, Peters AH, Schlegelberger B, Stein H, Dörken B, Jenuwein T, Schmitt CA: Oncogene-induced senescence as an initial barrier in lymphoma development. Nature. 2005, 7051: 660-665.View ArticleGoogle Scholar
- Chen Z, Trotman LC, Shaffer D, Lin HK, Dotan ZA, Niki M, Koutcher JA, Scher HI, Ludwig T, Gerald W, Cordon-Cardo C, Pandolfi PP: Crucial role of p53-dependent cellular senescence in suppression of Pten-deficient tumorigenesis. Nature. 2005, 7051: 725-630.View ArticleGoogle Scholar
- Collado M, Gil J, Efeyan A, Guerra C, Schuhmacher AJ, Barradas M, Benguría A, Zaballos A, Flores JM, Barbacid M, Beach D, Serrano M: Tumour biology: senescence in premalignant tumours. Nature. 2005, 7051: 642-View ArticleGoogle Scholar
- Dimri GP, Lee X, Basile G, Acosta M, Scott G, Roskelley C, Medrano EE, Linskens M, Rubelj I, Pereira-Smith O, et al: A biomarker that identifies senescent human cells in culture and in aging skin in vivo. Proc Nartl Acad Sci U S A. 1995, 92: 9363-9367. 10.1073/pnas.92.20.9363.View ArticleGoogle Scholar
- Muntoni A, Reddel RR: The first molecular details of ALT in human tumor cells. Hum Mol Genet. 2005, 14: R191-R196. 10.1093/hmg/ddi266.View 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.20167.View ArticlePubMedGoogle Scholar
- Genini M, Schwalbe P, Scholl FA, Schafer BW: Isolation of genes differentially expressed in human primary myoblasts and embryonal rhabdomyosarcoma. Int J Cancer. 1996, 66: 571-577. 10.1002/(SICI)1097-0215(19960516)66:4<571::AID-IJC24>3.0.CO;2-9.View ArticlePubMedGoogle Scholar
- Nabokikh A, Ilhan A, Bilban M, Gartner W, Vila G, Niederle B, Nielsen JH, Wagner O, Base W, Luger A, Wagner L: Reduced TGF-beta1 expression and its target genes in human insulinomas. Exp Clin Endocrinol Diabetes. 2007, 115: 674-682. 10.1055/s-2007-984477.View ArticlePubMedGoogle 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: 561-568.PubMedGoogle Scholar
- Buckhaults P, Rago C, St Croix B, Romans KE, Saha S, Zhang L, Vogelstein B, Kinzler KW: Secreted and cell surface genes expressed in benign and malignant colorectal tumors. Cancer Res. 2001, 61: 6996-7001.PubMedGoogle Scholar
- Schorderet DF, Menasche M, Morand S, Bonnel S, Buchillier V, Marchant D, Auderset K, Bonny C, Abitbol M, Munier FL: Genomic characterization and embryonic expression of the mouse Bigh3 (Tgfbi) gene. Biochem Biophys Res Commun. 2000, 274: 267-274. 10.1006/bbrc.2000.3116.View ArticlePubMedGoogle Scholar
- Billings PC, Herrick DJ, Kucich U, Engelsberg BN, Abrams WR, Macarak EJ, Rosenbloom J, Howard PS: Extracellular matrix and nuclear localization of betaig-h3 in human bladder smooth muscle and fibroblast cells. J Cell Biochem. 2000, 79: 261-273. 10.1002/1097-4644(20001101)79:2<261::AID-JCB90>3.0.CO;2-#.View ArticlePubMedGoogle Scholar
- Nam JO, Jeong HW, Lee BH, Park RW, Kim IS: Regulation of tumor angiogenesis by fastatin, the fourth FAS1 domain of betaig-h3, via alphavbeta3 integrin. Cancer Res. 2005, 65: 4153-4161. 10.1158/0008-5472.CAN-04-2705.View ArticlePubMedGoogle Scholar
- Wen G, Hong M, Li B, Liao W, Cheng SK, Burong Hu, Calaf GM, Ping Lu, Partrodge MA, Tong J, Hei TK: Transforming growth factor-β-induced protein (TGFBI) suppresses mesothelioma progression through the Akt/mTOR pathway. Int J Oncol. 2011, 39: 1001-1009.PubMedPubMed CentralGoogle Scholar
- Ji P, Agrawal S, Diederichs S, Bäumer N, Becker A, Cauvet T, Kowski S, Beger C, Welte K, Berdel WE, Serve H, Müller-Tidow C: Cyclin A1, the alternative A-type cyclin, contributes to G1/S cell cycle progression in somatic cells. Oncogene. 2005, 24: 2739-2744. 10.1038/sj.onc.1208356.View 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.View ArticlePubMedPubMed CentralGoogle Scholar
- Macieira-Coelho A: Markers of 'cell senescence'. Mech Ageing Dev. 1998, 104: 207-211.View ArticlePubMedGoogle Scholar
- Collado M, Blasco MA, Serrano M: Cellular senescence in cancer and aging. Cell. 2007, 130: 223-233. 10.1016/j.cell.2007.07.003.View ArticlePubMedGoogle Scholar
- Hunter T, Pines J: Cyclins and cancer. II: Cyclin D and CDK inhibitors come of age. Cell. 1994, 79: 573-582. 10.1016/0092-8674(94)90543-6.View ArticlePubMedGoogle Scholar
- Bodnar AG, Ouellete M, Frolkis M, Holt SE, Chiu C, Morin GB, Harley CB, Shay JW, Lichtsteiner S, Wright WE: Extension of life-span by introduction of telomerase into normal human cells. Science. 1998, 279: 349-352. 10.1126/science.279.5349.349.View ArticlePubMedGoogle Scholar
- Greenberg RA, Chin L, Femino A, Lee KH, Gottlieb GJ, Singer RH, Greider CW, DePinho RA: Short dysfunctional telomeres impair tumorigenesis in the INK4aD2/3 cancer-prone mouse. Cell. 1999, 97: 515-525. 10.1016/S0092-8674(00)80761-8.View ArticlePubMedGoogle Scholar
- Halvorsen TL, Leibowitz G, Levine F: Telomerase activity is sufficient to allow transformed cells to escape from crisis. Mol Cell Biol. 1999, 19: 1864-1870.View ArticlePubMedPubMed CentralGoogle Scholar
- Cheng JQ, Jhanwar SC, Klein WM, Bell DW, Lee WC, Altomare DA, et al: p16 alterations and deletion mapping of 9p21-p22 in malignant mesothelioma. Cancer Res. 1994, 54: 5547-5551.PubMedGoogle Scholar
- Usami N, Sekido Y, Maeda O, Yamamoto K, Minna JD, Hasegawa Y, Nobori T, Olopade OI, Buckler AJ, Testa JR: Beta-catenin inhibits cell growth of a malignant mesothelioma cell line, NCI-H28, with a 3p21.3 homozygous deletion. Oncogene. 2003, 22: 7923-7930.View ArticlePubMedGoogle Scholar
- Petroulakis E, Parsyan A, Dowling RJ, LeBacquer O, Martineau Y, Bidinosti M, Larsson O, Alain T, Rong L, Mamane Y, Paquet M, Furic L, Topisirovic I, Shahbazian D, Livingstone M, Costa-Mattioli M, Teodoro JG, Sonenberg N: p53-dependent translational control of senescence and transformation via 4E-BPs. Cancer Cell. 2009, 16: 439-446. 10.1016/j.ccr.2009.09.025.View ArticlePubMedGoogle Scholar
- Noda A, Ning Y, Venable SF, Pereira-Smith OM, Smith JR: Cloning of senescent cell-derived inhibitors of DNA synthesis using an expression screen. Exp Cell Res. 1994, 211: 90-98. 10.1006/excr.1994.1063.View ArticlePubMedGoogle Scholar
- Urruticoechea A, Smith IE, Dowsett M: Proliferation marker Ki-67 in early breast cancer. J Clin Oncol. 2005, 23: 7212-7220. 10.1200/JCO.2005.07.501.View ArticlePubMedGoogle 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: 308-321. 10.1101/gad.1632008.View ArticlePubMedPubMed CentralGoogle Scholar
- Ween MP, Lokman NA, Hoffmann P, Rodgers RJ, Ricciardelli C, Oehler MK: Transforming growth factor-beta-induced protein secreted by peritoneal cells increases the metastatic potential of ovarian cancer cells. Intl J Cancer. 2011, 128: 1570-1584. 10.1002/ijc.25494.View ArticleGoogle Scholar
- Schneider D, Kleeff J, Berberat PO, Zhu Z, Korc M, Friess H, Buchler MW: Induction and expression of BigH3 in pancreatic cancer cells. Biochem. Biophys. ACTA. 2007, 1588: 1-6.Google Scholar
- Yamanaka M, Kimura F, Kagata Y, Kondoh N, Asano T, Yamamoto M, Hayakawa M: BigH3 is overexpressed in clear cell renal cell carcinoma. Oncology Report. 2008, 19: 865-874.Google Scholar
- Lin B, Madan A, Yoon JG, Fang X, Yan X, Kim TK, Hwang D, Hood L, Foltz G: Massively parallel signature sequencing and bioinformatics analysis identifies up-regulation of TGFBI and SOX4 in human glioblastoma. PLoS One. 2010, 4: e10210-View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/12/239/prepub
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