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Molecular and Cellular Biology, January 2008, p. 248-257, Vol. 28, No. 1
0270-7306/08/$08.00+0 doi:10.1128/MCB.01404-07
Copyright © 2008, American Society for Microbiology. All Rights Reserved.
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Departments of Pathology,1 Molecular and Cellular Biology,6 Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030,7 Department of Developmental Biology (VIB7), Flanders Interuniversity Institute for Biotechnology (VIB), and Laboratory of Molecular Biology (CELGEN), Division of Molecular and Developmental Genetics, Department of Human Genetics (DME), Leuven-VIB, Belgium,2 Institute of Biosciences and Technology, Texas A&M University System Health Science Center, Houston, Texas 77030,3 Department of Molecular Genetics, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030,4 Wellcome Trust Center for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom5
Received 4 August 2007/ Returned for modification 21 September 2007/ Accepted 19 October 2007
| ABSTRACT |
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| INTRODUCTION |
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subunit in mice results in sex cord stromal tumors and death through a cancer cachexia-like disease (10, 31). Deletion of follistatin (a negative regulatory protein of activin) or anti-Müllerian hormone (AMH/MIS) results in premature ovarian failure (14, 25), and loss of ovarian activin leads to infertility (37). Less is known about the in vivo contribution of the BMP subgroup in adult reproductive physiology because mutations in most BMP signaling components result in embryonic lethality or primordial germ cell loss (7). The TGFβ family signals through cell surface serine-threonine kinase receptor complexes that phosphorylate intracellular SMAD transcription factors (30). TGFβ, activin, and nodal receptors signal through SMAD2 or SMAD3 (termed AR-SMADs), while BMP receptors signal through SMAD1, SMAD5, or SMAD8 (termed BR-SMADs) (15). Once phosphorylated, R-SMADs form complexes with SMAD4 and activate or repress target gene transcription in association with a number of cofactors (30). Loss-of-function mutations in TGFβ receptors, SMAD2, or SMAD4 are found in a minority of cancer types, such as human pancreatic and gastrointestinal tumors (13, 29). Other cancers exploit the TGFβ signaling pathway to promote tissue invasion and metastasis (44). TGFβ function is cell type dependent, and the mechanism by which TGFβ functions as both a tumor suppressor and an oncogene in carcinogenesis is unclear (40). Whether signaling by members of the BMP subfamily also displays this duality (i.e., loss of function in some instances and gain of function in others) in tumor development is unknown.
Some studies have suggested a role for the BMP pathway in human cancer. Mutations in the BMP type I receptor BMPR1A are implicated in the pathogenesis of juvenile polyposis syndrome and lead to an increase in malignant potential (20, 23). Mice with tissue-specific inactivation of Bmpr1a also develop intestinal polyposis (18). Additionally, in vitro, BMPs have growth-suppressive effects on normal and some cancer cell lines that have intact BMP signaling components (2, 5, 33, 42), and the BMP antagonist gremlin has been shown to promote tumor cell proliferation (50). Recently, the BMP signaling pathway was demonstrated to be a key inhibitory regulator of tumor-initiating cells of human glioblastomas (41). However, definitive in vivo evidence for a tumor-suppressive role of the BR-SMAD pathway tissue is lacking (40).
Functional differences between some of the BR-SMADs have not been established (34). Null mutations in Smad1 or Smad5 give embryonic lethal phenotypes in mice, but Smad8 homozygous null mice are viable and fertile (1; Z. Huang, D. Wang, K. Ihida-Stansbury, P. L. Jones, and J. F. Martin, submitted for publication). Embryonic lethality also occurs in Smad1+/– Smad5+/– double heterozygous embryos (1). The study herein was designed to ablate BR-SMADs in gonadal somatic cells to examine the function of the BMP pathway in reproduction. Here we show that Cre-mediated genetic ablation of either Smad1 or Smad5 in ovarian granulosa cells results in normal reproductive function but that combined loss of Smad1 and Smad5 results in fertility defects and granulosa cell tumors. Unlike other mouse models that develop sex cord stromal tumors, female Smad1 Smad5 double conditional knockout (dKO) mice develop peritoneal and lymphatic metastases, uncovering a novel regulatory role in this process for the BR-SMADs. Male Smad1 Smad5 dKO mice also develop metastatic testicular tumors. These data strongly implicate SMAD1 and SMAD5 as critical tumor suppressors with redundant functions.
| MATERIALS AND METHODS |
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Tissue collection. For necropsies, mice were anesthetized by isoflurane inhalation and then euthanized by cervical dislocation. Organs were dissected and fixed in 10% neutral-buffered formalin for histology or stored in RNAlater (Ambion) at –80°C until processed for RNA.
Histology and immunohistochemistry.
Tissue embedding, sectioning, and staining were performed by the Department of Pathology Core Facility (Baylor College of Medicine) using standard techniques. Histological sections were cut at 4 to 6 µm and stained with hematoxylin and eosin. Immunohistochemistry was performed as previously described (38), using formalin-fixed, paraffin-embedded sections. Immunohistochemistry was performed using the Vectastain ABC method (Vector Laboratories). Rabbit polyclonal anti-phospho-Smad2/3 (1:300; Cell Signaling Technology) and rabbit polyclonal anti-inhibin
(1:500; a gift of W. Vale, Salk Institute) antibodies were used. Troma-I (anti-cytokeratin 8) (1:50) and Troma-III (anti-cytokeratin 19) (1:10) rat monoclonal antibodies were obtained from the Developmental Studies Hybridoma Bank developed under the auspices of the NICHD and maintained by the University of Iowa, Department of Biological Sciences. Immunohistochemistry was performed on at least five samples in duplicate. Immunoreactivity was visualized by diaminobenzidine tetrahydrochloride staining, and the tissue was counterstained in hematoxylin.
Granulosa cell cultures and ligand treatment. Collection and treatment of WT granulosa cells were performed as previously described (36). CD1 female mice 19 to 21 days old were injected intraperitoneally with 5 IU pregnant mare serum gonadotropins (Calbiochem), and granulosa cells were collected 44 to 46 h later by puncturing antral follicles, plated at a density of 5.5 x 105 cells/ml, and treated immediately upon harvest in Dulbecco's modified Eagle's medium-F-12 medium supplemented with 0.5% heat-inactivated fetal bovine serum and 10 U/ml penicillin and streptomycin. Cells were treated for 5 h and then harvested for RNA. BMP4 was a gift from Wyeth.
RNA analysis.
RNA was extracted using a Qiagen RNeasy micro kit. cDNA was prepared from 200 ng of total RNA by use of a SuperScript III first-strand synthesis kit (Invitrogen) in a 50-µl reaction. Real-time quantitative PCR (qPCR) was performed as previously described (38) by using an Applied Biosystems (ABI) Prism 7500 sequence detection system, TaqMan master mix, and predesigned gene expression assays. Data were analyzed by the 
CT method (where CT is cycle threshold) using ABI 7500 system software (v1.2.3) as described by ABI and normalized to the endogenous reference (Gapd). The mean
CT of the control samples was used as the calibrator sample. The averages and standard errors of the means were calculated, and the relative amount of target gene expression for each sample compared to the control was plotted in Excel (Microsoft).
Microarray analysis. RNA was extracted by use of a Qiagen RNAeasy kit, and RNA integrity, concentration, and quality were checked by the Baylor College of Medicine Microarray Core Facility. Labeling, hybridization, washing, scanning, and initial analysis were performed by the Baylor College of Medicine Microarray Core Facility using standard Affymetrix protocols and an Affymetrix mouse genome 430 2.0 array. Six chips were analyzed from three independent pools of WT granulosa cell samples (each pool was collected from two to three females) and three independent tumor samples (two samples of Smad1flox/flox Smad5flox/flox Smad8+/– Amhr2cre/+ and one sample of Smad1flox/flox Smad5flox/flox Smad8–/– Amhr2cre/+). Affymetrix CEL files were imported into GeneSpring GX (Agilent), and GC robust multiarray average was used to perform background correction and normalization. Differential gene expression was filtered using the volcano plot filter in GeneSpring, with a P value of <0.001 and a minimum twofold change. Forty-three genes would have been expected to change by chance alone. Probe sets that were considered to be "absent" in four of six samples or that had a signal intensity of less than 150 under both conditions, as determined by Affymetrix GCOS software, were removed from the gene lists. This resulted in 354 differentially expressed probe sets, which, by taking into account multiple probe sets for the same gene, corresponded to 153 genes upregulated at least twofold and 171 genes downregulated at least twofold. Gene lists were imported into DAVID bioinformatic software (http://david.abcc.ncifcrf.gov/home.jsp) for KEGG pathway analysis (12).
GSEA. Gene set enrichment analysis (GSEA) (52) was performed using GSEA-P v2 with the default parameters (http://www.broad.mit.edu/gsea/), except that the median intensity of probes corresponding to the same gene was used to collapse probe sets. Gene sets were exported from database C2 of MSigDB v2.1 (http://www.broad.mit.edu/gsea/msigdb/index.jsp) (52), and only canonical pathways from BioCarta, Gene Ontology, GenMAPP (www.genmapp.org), Signaling Transduction KE, Signaling Alliance, and Sigma Aldrich were used. Of the 456 canonical gene sets, only 337 passed the selection criteria of a minimum size of 10 and maximum size of 500. This resulted in one gene set that was enriched in WT compared to tumor cells and one gene set enriched in tumor cells compared to WT cells by use of a false discovery rate (q < 0.25, as recommended).
Statistical analysis.
Statistical analysis was performed with JMP v5.1 (SAS Institute, Inc.) or MATLAB (Mathworks) statistical packages. Fertility data were tested using the Kruskal-Wallis analysis of ranks test for multiple comparisons and Tukey's least significant difference test for post hoc multiple comparisons to identify statistically different groups. Parametric data (qPCR data) were analyzed by Student's t test (for single comparisons) or one-way analysis of variance (for multiple comparisons) followed by a Tukey-Kramer honestly significant difference post hoc test. Parametric data are shown as means, with standard errors of the means as error bars. Statistical significance was set at
= 0.05. A minimum of three independent experiments was used for statistical comparisons.
Nucleotide sequence accession number. The microarray data set has been deposited at NIH Gene Expression Omnibus under the series accession number GSE8156 (http://www.ncbi.nlm.nih.gov/projects/geo).
| RESULTS |
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(Fig. 3) and negative for cytokeratins (data not shown). Aging Smad1 Smad5 dKO and Smad1 Smad5 Smad8 tKO mice also demonstrated peritoneal metastases (Fig. 4 and Table 2) that were histologically identical to the primary granulosa cell tumor, with strong inhibin
immunoreactivity (Fig. 4E). Tumors spread to the lymph nodes, and 6 of 12 knockout females >9 months old developed hemorrhagic ascites. Smad1 and Smad5 recombined alleles were detected exclusively in the metastases, demonstrating that extraovarian tumors derived from null cells (Fig. 4F). No tumors were found in control mice or in 1-year-old Smad1 Smad5 dKO ovariectomized female mice (n = 8). Female Smad1 Smad5 dKO and Smad1 Smad5 Smad8 tKO mice had similar fertility defects and tumor developments, supporting studies with mouse embryos that demonstrate a strong genetic interaction between Smad1 and Smad5 but not with Smad8–/– mice (1). Therefore, subsequent studies were carried out with only Smad1 Smad5 dKO mice.
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Gene expression changes in Smad1 Smad5 dKO mice. To determine gene expression changes in the tumors, we performed microarray and qPCR analyses on dissected Smad1 Smad5 and Smad1 Smad5 Smad8 mutant granulosa cell tumors and compared these to isolated WT granulosa cells. Microarrays were performed with females because granulosa cells, unlike Sertoli cells, are readily collectable in sufficient quantities without culturing and can be used for comparison. Microarray analysis identified 171 genes significantly downregulated (P < 0.001) twofold or more, while 153 genes were significantly upregulated (P < 0.001) twofold or more (see Tables S1 and S2 in the supplemental material). Microarray results were analyzed by GSEA (52) to identify functional gene sets that are altered in tumor cells. Of the 337 gene sets examined, one set, which was associated with ovarian infertility, was significantly underrepresented in BR-SMAD knockout tumor cells compared with WT cells (false discovery rate q value of <0.25) (see Table S3 in the supplemental material). In addition, one gene set representing extracellular matrix pathway genes was overrepresented in BR-SMAD knockout tumor cells compared to WT cells (q < 0.25) (see Table S4 in the supplemental material).
By KEGG pathway analysis, only the TGFβ family signaling pathway was significantly overrepresented (P = 0.02) in the differentially expressed gene lists. This list included genes encoding ligands (Bmp7 and inhibin βB [Inhbb]), receptors (BMP receptors type II [Bmpr2] and type IB [Bmpr1b]), negative regulatory proteins (gremlin [Grem1]), and potential downstream target genes (cartilage oligomeric protein [Comp] and inhibitor of differentiation-1 [Id1]). Of the downregulated genes, five of six genes (Comp, Grem1, Inhbb, Bmpr2, and Id1) were reconfirmed by qPCR (Fig. 6A). Grem1 is a known target of BMP signaling in granulosa cells (36), but few other gene targets are known for this cell type. To determine which genes are regulated by BMPs in granulosa cells and thus those genes that may be directly affected by loss of SMAD1/5 in Smad1 Smad5 dKO tumors, primary cultures of WT granulosa cells were treated with recombinant BMP4. Only Id1 and Grem1 were upregulated within 5 h of treatment (Fig. 6B). Comp, Inhbb, or Bmpr2 gene expression did not change (Fig. 6B). This suggests that Comp, Inhbb, and Bmpr2 are altered in Smad1 Smad5 dKO tumors as an indirect consequence of loss of BR-SMAD signaling.
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| DISCUSSION |
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Even though the BMP type I receptors have been shown to phosphorylate SMAD1, SMAD5, or SMAD8, the degree of redundancy between these SMADs is unknown. Smad8 null mice are viable and fertile (1), while Smad1 and Smad5 homozygous and heterozygous null embryos die at midgestation (8, 53). Several conditional alleles of Smad1 and Smad5 have been generated to circumvent the lethality and allow for the analysis of BR-SMADs in later-stage embryonic and adult tissues (1, 21, 54). However, few adult tissue-specific knockout mice have yet to be reported. Recently, it was shown that conditional deletion of Smad5 in adult hematopoietic stem cell lineages has no effect on adult hematopoiesis, and this was attributed to potential functional compensation by SMAD1, which is equivalently expressed in WT and Smad5 null hematopoietic stem cell lineages (49). Similarly, none of our single conditional knockouts for Smad1 or Smad5 or a knockout of Smad8 demonstrates significant fertility defects for the parameters that we tested. It was only through combined loss of Smad1 and Smad5 that we demonstrated the metastatic tumor phenotype in mouse gonadal cells. These data support studies with mouse embryos that indicate a strong genetic interaction between Smad1 and Smad5 (1). Thus, our data on Smad1 Smad5 dKO mice demonstrate that there is significant functional redundancy between SMAD1 and SMAD5. Therefore, genetic models for the BR-SMAD pathway in other cell and tissue types will likely have to take this into account and require modification of both of these genes to fully uncover the function of the BR-SMAD pathway.
While our studies demonstrate redundancy between SMAD1 and SMAD5, our data do not support additional redundancy with SMAD8, even though Smad8 is coexpressed with Smad1 and Smad5 in granulosa cells (data not shown). At the amino acid level, SMAD1 and SMAD5 are more similar to each other than to SMAD8, and this divergence of SMAD1/5 and SMAD8 occurred early during vertebrate evolution (1). Studies of genetic mutations in mouse embryos support the hypothesis that SMAD8 is not redundant with SMAD1 and SMAD5 because deletion of Smad8 has no effect on the phenotype of Smad1 or Smad5 null embryos and removal of one copy of Smad1 or Smad5 has no effect on the Smad8 null phenotype (1). In our studies described here, no fertility or tumor phenotype was seen in Smad8 null female mice or Smad5 Smad8 dKO mice. Furthermore, there was no additional effect of Smad8 loss in female fertility or tumor formation when Smad1 Smad5 dKO and Smad1 Smad5 Smad8 tKO mice were compared. The lack of genetic interaction between the SMAD1/5 and SMAD8 pathways may indicate that SMAD8 functions in another non-BMP pathway in the ovary, such as for anti-Müllerian hormone/Müllerian-inhibiting substance, which has recently been shown to use different BR-SMADs sequentially during Müllerian duct regression (57). Alternatively, SMAD8, but not SMAD1/5, may interact with a SMAD-interacting protein, and loss of this interaction through loss of Smad8 is not critical during the development of the tumorigenesis phenotype.
In many human cancers, TGFβ is overexpressed and stimulates tumor invasion and metastasis. The SMAD2/3 pathway is consistently activated in tumors and metastases of both male and female Smad1 Smad5 dKO and Smad1 Smad5 Smad8 tKO mice, as indicated by nuclear phospho-SMAD2/3 immunohistochemistry. It is unclear what the contribution of TGFβ activity is to tumor development in granulosa cells. We analyzed several candidate genes that are known to be directly downstream of TGFβ signaling and implicated in tumor development and metastasis. We found that several of these genes, including Hmga2, Mmp2, and Tgfbi, are significantly upregulated. Upregulation of Mmp2 expression has been linked to metastatic potential in some cancers (32). Overexpression of Tgfbi and Hmga2 has been demonstrated in a number of human cancers (6, 46, 47), and mouse models have shown that Hmga2 overexpression is sufficient to induce mesenchymal tumor development (55). How the suite of genes expressed in Smad1 Smad5 dKO sex cord stromal tumors contribute to malignant transformation remains to be determined.
In some cell types (e.g., endothelial cells), TGFβ also signals through SMAD1/5 when the type I receptor activin receptor-like kinase 1 (Acvrl1, also called Alk1) is expressed (17). Therefore, an additional possibility is that loss of TGFβ signaling through SMAD1/5 in the Smad1 Smad5 dKO mouse triggers the tumor phenotype. However, this does not appear to be a likely explanation for tumor development in the Smad1 Smad5 and Smad1 Smad5 Smad8 cKO mice, because Alk1 is not expressed in granulosa cells and we did not detect phosphorylation of SMAD1 or SMAD5 in TGFβ-treated WT granulosa cells by immunoanalysis (data not shown). In addition, a recent study has demonstrated that ALK1 activates BR-SMADS in endothelial cells after binding BMP9 and BMP10, and thus these ligands, and not TGFβ, may represent the physiological ligands for this receptor (11).
It is unknown whether activation of the TGFβ pathway in the Smad1 Smad5 dKO and Smad1 Smad5 Smad8 tKO tumors is a primary event caused by loss of SMAD1/5 or occurs secondarily during gonadal tumor development. However, it has been shown in some cell types that the BR-SMAD pathway directly counteracts TGFβ activity through opposing regulation of the same gene promoter by SMAD1/5 and SMAD2/3. For instance, BMP7 reverses the TGFβ1-induced epithelial-mesenchymal transition through a SMAD-dependent pathway in renal distal tubular and mammary ductal epithelial cells in part by antagonistic regulation of the E-cadherin promoter: TGFβ signaling through SMAD3 downregulates transcription through the E-cadherin promoter, while BMP7 signaling through SMAD5 upregulates it (56). BMP7 restores E-cadherin expression to normal values even when both the SMAD2/3 and SMAD1/5 pathways are activated concurrently, suggesting that the BR-SMAD pathway can override the AR-SMAD pathway. While E-cadherin is not expressed in granulosa cells or Smad1 Smad5 dKO tumors, a similar mechanism of SMAD promoter antagonism on granulosa cell target genes may operate in granulosa cells during folliculogenesis. Approximately 25 other genes have been shown to be coregulated by the two SMAD pathways in epithelial cells, including the Id genes (26). However, few direct downstream target genes of BMP or TGFβ have been reported for granulosa cells. In this study, we found that BMP4 regulates Id1 in WT granulosa cells and that, furthermore, the expression of Id1 is downregulated significantly in Smad1 Smad5 tumor cells, although the functional consequence of this is not known. The identification of additional Smad1 Smad5 target genes during folliculogenesis and granulosa cell differentiation will be critical for understanding tumor development in the Smad1 Smad5 dKO mouse model.
Death in most cancer patients is primarily the result of metastatic disease (51), and granulosa cell tumors metastasize in an estimated 5 to 25% of cases. Different types of ovarian cancer (i.e., epithelial and sex cord stromal cancers) have similar sites of metastasis (45) and frequently spread directly into the peritoneal cavity by growth onto adjacent organs, seeding of tumor cells present in peritoneal fluid, and dissemination via the lymphatic system (35). Very few mouse knockouts develop metastatic tumors, and among mouse models of granulosa cell tumors, the Smad1 Smad5 dKO model is unique because previous models (4, 31, 43) do not demonstrate tumor spread outside the gonad. The pattern of peritoneal spread of the female Smad1 Smad5 dKO tumors closely mimics the human dissemination pattern, and both male and female Smad1 Smad5 dKO mouse models demonstrate evidence of tumor spread through the lymphatic system. Thus, the Smad1 Smad5 dKO mouse model is an important step in uncovering novel redundant roles of SMAD1 and SMAD5 in controlling tumor cell migration to distant sites.
However, there are phenotypic dissimilarities of Smad1 Smad5 dKO mice to other mouse models of granulosa tumors, which suggest functional differences. Smad1 Smad5 dKO granulosa cell tumors lack tubule-like structures that typify inhibin
(Inha) null sex cord stromal tumors (31) and also do not develop the cancer cachexia-like wasting syndrome seen in Inha knockout mice. Granulosa cell tumors also develop in female mice engineered to express a stable form of β-catenin (4). We examined β-catenin immunoreactivity in mouse Smad1 Smad5 dKO tumors, but in the majority of Smad1 Smad5 dKO tumor cells, β-catenin is not nuclear but membrane bound (data not shown). In contrast to Smad1 Smad5 dKO females, β-catenin females show a low penetrance (57% in females by 7.5 months, versus 100% penetrance at 3 months in Smad1 Smad5 dKO female mice) and do not develop metastases (4) and males do not develop tumors (D. Boerboom, personal communication). Additional studies will be necessary to understand the pathologies leading to tumor development in these mouse models and the ways they can contribute to our understanding of sex cord stromal cell tumor formation.
Additional genetic mouse models have defined the roles of TGFβ family ligands or SMAD proteins in granulosa cell physiology and provide a foundation for understanding the role for the TGFβ family in granulosa cell tumor development (Fig. 6F). The data in this study demonstrate that when the BR-SMADs are deleted, tumors develop. When loss-of-function mutations in the activin/TGFβ pathway are made, inappropriate granulosa cell differentiation occurs and no tumors develop (37, 38). Activin gain of function (via deletion of the inhibin
subunit leading to activin overexpression) results in gonadal sex cord stromal tumors, mediated in part by the AR-SMAD SMAD3 (27, 28, 31). Combined, these phenotypes suggest a possible interplay between the BR-SMAD and AR-SMAD signaling pathways, which when unbalanced may lead to tumor development (Fig. 6F).
It is unknown if tumor suppression by SMAD1 and SMAD5 is a mechanism found in nongonadal cell types. No germ line mutations have been identified in the limited numbers of studies of humans that examined BR-SMADs (3, 16). However, if BR-SMADS are as redundant in humans, as we and others (1) suspect, then a combination of loss of function in both SMAD1 and SMAD5 would be required for developing human cancers, and this may be an unlikely event. However, because haploinsufficiency in many transcription factors causes human diseases, a significant distortion in SMAD1 SMAD5 gene expression or activity in humans may have the same phenotypic effect as the Smad1 Smad5 double null mutation and result in tumorigenesis. Thus, there are many possible scenarios that would result in downregulated SMAD1 SMAD5 expression or activity, including mutations in common upstream SMAD1 SMAD5 regulatory pathways, mutations in a SMAD1/5-interacting protein, or mutations in a common downstream target gene. Evidence for downregulation in human cancers includes loss of SMAD1 expression in cervical carcinomas (48) and loss of SMAD8 in breast, colon, and prostate cancer (9, 19). An important consideration for future cancer research will be to determine whether loss of Smad1 Smad5 Smad8 and their downstream targets in gonadal and nongonadal cells also results in tumor formation and metastatic disease in humans.
| ACKNOWLEDGMENTS |
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We thank Wylie Vale (Salk Institute, La Jolla, CA) for the gift of the inhibin
polyclonal antibody, Milton Finegold and Alan Herron (Baylor College of Medicine) for pathological assessment of male tumors, Mai Tran (Baylor College of Medicine) for technical assistance, Lori-Ann Mistretta for assistance with GSEA, and Herman Dierick and Aleksandar Rajkovic for discussions and critical reading of the manuscript.
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Published ahead of print on 29 October 2007. ![]()
Supplemental material for this article may be found at http://mcb.asm.org/. ![]()
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