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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Int J Oncol. Author manuscript; available in PMC 2017 September 22.
Published in final edited form as:
PMCID: PMC5609187

Identification of characteristic molecular signature of Müllerian inhibiting substance in human HPV-related cervical cancer cells


Müllerian inhibiting substance (MIS), also known as anti-Müllerian hormone (AMH), is a member of the transforming growth factor-β (TGF-β) superfamily that plays an important role in the mesenchymal-epithelial interaction, cell growth and proliferation, extracellular matrix production and tissue remodeling. Previously, we demonstrated that MIS suppressed ovarian cancer cell growth and suggested large-scale genetic elements that could be responsible for anti-neoplastic effects of MIS on ovarian cancer cells. In this study, we demonstrated the expression of MIS type II receptor (MISRII) in the human papillomavirus (HPV)-16-related cervical cancer cell lines CaSki and SiHa, and a non-HPV-related cervical cancer cell line, C33A. We also showed that MIS inhibited growth of cervical cancer cells, and induced cellular apoptosis of C33A. In addition, we identified a characteristic molecular signature of MIS in CaSki cells by using whole genome expression analysis. Of the 1,690 genes that showed significant expression changes by MIS, 21 genes were related to cell cycle; 13 genes to apoptosis; and 52 genes to the cancer pathway. On performing a search for cell cycle pathways in the KEGG pathway database, several gene expressions at the G1/S checkpoint were found. In particular, the expression of p16 and p107 increased and that of E2F2 and E2F3 decreased at an early stage, whereas the expression of E2F4 and E2F5 decreased at a later stage after MIS treatment. These data suggest that MIS produces activity against HPV16-related cervical cancers in vitro, and MIS may also be an effective targeted therapy for HPV16-related cervical cancer. Genetic data obtained here could be useful in determining the treatment strategy of MISR-expressing cervical tumors in the future.

Keywords: Müllerian inhibiting substance, anti-Müllerian hormone, Müllerian inhibiting substance type II receptor, CaSki cell line, DNA microarray, cell cycle


Müllerian inhibiting substance (MIS), also known as anti-Müllerian hormone (AMH), is a glycoprotein composed of 2 identical subunits of 535 amino acids with a combined molecular weight of 140 kDa. It belongs to the TGF-β family along with inhibin, activin, and bone morphogenetic protein (BMP) (1). An increasing number of studies have demonstrated that MIS plays key roles in sexual development as a hormone in the adult gonads of both sexes and in growth inhibition in cells expressing MIS receptors (MISRs) (24).

Because most gynecologic tumors originate from Müllerian duct, and MIS causes regression of the Müllerian duct, it is expected to inhibit growth of gynecologic cancer. Purified recombinant human MIS causes growth inhibition of epithelial ovarian cancer cells and cell lines in vivo and in vitro via MIS receptor-mediated mechanism (58). Further, several lines of evidence suggest that MIS inhibits growth in the tissue and cell line of other MIS receptor-expressed gynecologic malignancies such as cervical, endometrial, and breast cancers (911). It is known that the biological activity of MIS requires interaction with 2 similar but distinct receptors termed types I and II (MISRI, MISRII). Because MISRI is nearly ubiquitously expressed, the question of whether MISRI interacts with MISRII will depend on the tissue and/or species in consideration. MIS binding to its receptors initiates intracellular cascades that lead to the control of cell cycle regulating proteins and altered transcription of a number of genes, depending upon the target tissues. The MISRII gene is located on chromosome 12q13 and has 11 exons and 10 introns (12). The binding of MIS to MISRII leads to heterodimerization of receptors accompanied by a signaling cascade (13,14). Activated MISRI initiates a signaling cascade of the intracellular Smad pathway originally found to be used in BMP downstream signaling. Besides the Smad pathway, there is evidence that MIS-mediated downstream effects are involved in the cell cycle. However, the mechanism underlying signal transduction is unclear in HPV-related cancer cell death after MIS treatment.

In a previous study, it was found that both HPV16-related and non-HPV-related cervical cancer cell lines express the MIS type II receptor, which responds to MIS. Although MIS binds to both these cervical cancer cell lines, receptor expression has been rarely demonstrated (10); further, the functional consequences of this interaction are not well known. In Korea, cervical cancer is the most commonly diagnosed gynecologic malignancy. Most cervical cancers are exclusively related to HPV infection. Hence, the HPV16-related cervical cancer cell line CaSki was thought to be a suitable candidate for this study. Conventional genomic research tools demand a lot of time and effort. Therefore, DNA microarray technology is widely used for the genomic analysis of transcription levels. Many studies have presented the feasibility of this technique for identifying novel genes and for defining human cancers at the molecular level (1517).

To better understand the molecular mechanisms by which MIS inhibits the growth of cervical cancer cells, we performed large-scale DNA microarray gene expression analysis and analyzed global transcript levels at different time points after treatment of HPV-related cervical cancer cells with MIS and investigated the characteristic genes that probably reflect the molecular signature for the anti-tumor effect of MIS (10).

Materials and methods

Recombinant human MIS

Recombinant human MIS was purified and its biological activity confirmed in the Pediatric Surgical Research Laboratories at the Massachusetts General Hospital from serum-free and serum containing conditioned media as described earlier (18).

Cells and cell culture

The HPV-transformed cervical cancer cell lines, CaSki and SiHa, and a non-HPV-transformed cervical cancer cell line, C33A and human kidney epithelial cell line 293 cells (ATCC, Manassas, VA, USA) served as a negative control were grown in RPMI-1640 and 15% female fetal bovine serum, 1% penicillin/streptomycin and 1% L-glutamine for no more than 5 passages, and subcultures were initiated at 80% confluency. The cultures were maintained in a humidified atmosphere of 5% CO2 at 37°C.


Immunohistochemical staining for MISRII was visualized using a CAP-PLUS detection kit (Zymed Laboratories, South San Francisco, CA, USA). Briefly, 293, C33A, CaSki, and SiHa cells were harvested at 1×105/ml then 200 μl cell suspension was centrifuged with Cytosin (Thermo Electron Corp., Cheshire, UK) at 1,000 rpm for 5 min to attach cells to the Probe on plus slide. The slides were treated with 3% H2O2 for 10 min. After treatment with 5% goat serum, the slides were incubated with rabbit polyclonal anti-human MISRII antiserum (Pediatric Surgical Research Laboratories, Massachusetts General Hospital, Boston, MA, USA) at 4°C overnight. The slides were rinsed in PBS 3 times and incubated with biotinylated anti-rabbit IgG (Zymed Laboratories) at RT for 2 h. After the PBS rinse, Streptavidin HRP detection system (Zymed Laboratories) was applied to the slides at RT for 30 min. The slides were treated with 3-amino-9-ethylcarbazole (AEC) for 10 min at RT, counterstained with hematoxylin, and then mounted with glycerol gel.

Methylthiazoletetrazolium (MTT) assay

Three thousand 293, C33A, CaSki, and SiHa cells per well were seeded in 96-well plates. After 24 h the cells were exposed to vehicle control or 10 μg/ml of MIS for 24 and 48 h (19). Cells were washed with PBS and 100 μl of MTT solution (5 mg/ml MTT stock in PBS diluted to 1 mg/ml with 10% DMEM) was added to each well. Cells were incubated for 4 h at 37°C at the end of which time 200 μl DMSO (Sigma, St. Louis, MO, USA) was added and incubated further for 30 min at room temperature in the dark. The plates were read on an ELISA plate reader (BIO-TEK Instruments, Winooski, VT, USA) and the absorbance at 550 nm was recorded. MIS-treated and -untreated cell lines were compared, and statistical analyses were performed by using the ANOVA paired t test, with P<0.05 considered to be statistically significant.

Cell cycle analysis

293, C33A, CaSki, and SiHa cell lines were exposed to MIS or vehicle control buffer for 24 h and the cells were collected by trypsinization. The cells were fixed with 100% methanol and stored for 30 min at 20°C and washed with PBS. Following centrifugation the cells were resuspended in 1 ml DNA staining solution (20 μg/ml propidium iodide, 200 μg/ml DNase free RNase) and incubated in the dark at 37°C for 30 min. The cells were analyzed on a FACSVantage SE Flow Cytometer (Becton-Dickinson, San Jose, CA, USA). The forward scatter and red fluorescence above 600 nm were measured and the results analyzed using Cell Quest™ software (Becton-Dickinson) and Modft LT 3.0 program (Verity Software House, Topsham, ME, USA).

Annexin V analysis

MIS-treated cells were stained for Annexin V and propidium iodide (PI) using the Annexin V-FITC Apoptosis Detection Kit I (BD Biosciences, San Diego, CA, USA) according to the manufacturer’s protocol. Briefly, following drug treatment, 1×105 cells were pelleted and washed once with PBS and resuspended in 100 ml of binding buffer [10 mM HEPES (pH 7.4), 150 mM NaCl, 5 mM potassium chloride, 1 mM MgCl2, and 2 mM calcium chloride]. Subsequently, 5 μl of Annexin V-FITC and PI was added to the cells that were then incubated for 15 min at RT in the dark. After this incubation, 400 μl of binding buffer was added and cells were analyzed using a FACSVantage SE fow cytometer (Becton-Dickinson). Data analyses were conducted using Cell Quest™ software (Becton-Dickinson).

Microarray fabrication

The 60-mers of Human Oligolibrary™ representing 18,664 LEADS™ clusters plus 197 controls (GAPDH) were purchased from Compugen/Sigma-Genosys and spotted onto a glass slide at the microarray core facility of Microdissection Genomics Research Institute at College of Medicine, The Catholic University of Korea as previously reported (20,21).

Large-scale analysis of gene expression profiling by using oligonucleotide arrays

In brief, total cellular RNA was extracted from the vehicle control and MIS-treated cells using a TRIzol® reagent (Gibco, Grand Island, NY, USA) and quantified using NanoDrop (NanoDrop Technologies, Wilmington, DE, USA). In addition, RNA quality was checked by Bioanalyzer 2100 (Agilent Technologies, Santa Clara, CA, USA) and intact RNA samples (260/280 ratio >1.8) were used for hybridization. Human universal reference RNA (Stratagene, La Jolla, CA, USA) was used as a reference RNA. From each total RNA sample, 20 μg was primed with oligo-dT and labeled with Cy3-dUTP or Cy5-dUTP (New England Nuclear, Wilmington, MA, USA) by reverse transcription. Labeled cDNA targets were concentrated to approximately 15 μl using Microcon-YM30 (Amicon, Bedford, MA, USA). Hybridization was carried out at 42°C for 16 h using the MAUI Hybridization System (BioMicro Systems, Salt Lake City, UT, USA). After hybridization, micro-array was washed twice with buffers containing 2X standard sodium citrate (SSC) and 0.1% SDS for 2 min, 1X SSC and 0.1% SDS for 3 min, 0.2X SSC for 3 min, 0.05X SSC for 2 min, and finally rinsed with distilled water for 2 min. This protocol was repeated twice in independent experiments on the CaSki cells.

Scanning and data analysis

The arrays with hybridized targets were scanned using an Axon scanner and the images were analyzed using GenePix® Pro 4.1 software (Molecular Devices, Sunnyvale, CA, USA). Spots of poor quality identified by visual inspection were removed from further analysis. The resulting data collected from each array were submitted to the BioArray Software Environment (BASE) database at the micro-array core facility in the Department of Pathology, College of Medicine at The Catholic University of Korea, Seoul, Republic of Korea ( Data were normalized using the method of Linear Models for Microarray Data (LIMMA) and R-package for Statistics for Microarray Analysis (SMA). Spots of less than 50 μm were eliminated for analysis unless otherwise specifed. Pearson’s correlation coefficient was calculated using S-PLUS program. Cluster and TreeView programs were used for visualization of data (17,20). Pathway analysis was performed with ArrayXPath ( The statistical analysis was performed by using the Mann-Whitney test, with P<0.05 considered to be statistically significant.


Expression of MISRII by immunohistochemistry

Compared to the negative control 293 cell line showing negative staining pattern for MISRII, all three cervical cancer cell lines showed strong specific staining for MISRII by using immunohisto-chemical staining, although staining in C33A cells was more intense than that in CaSki and SiHa. MISRII was localized specifically and exclusively in the cell membrane and occasionally in the Golgi’s complex of the cytoplasm of cervical cancer cells (Fig. 1).

Figure 1
Immunohistochemistry using MISRII antibody from the human kidney epithelial cell line, 293 cells (A) and cervical cancer cell line, C33A (B), CaSki (C), and SiHa cells (D). Compared to 293 cell line showing negative staining pattern for MISRII, all cervical ...

MIS inhibits the growth of cervical cancer cells and augments apoptosis

The MTT assay was used to quantify the degree of growth suppression. As predicted, MIS had no effect on inhibition of 293 cells, which do not express the MISRII (Fig. 2). Growth inhibition of MISRII-expressed cervical cancer cells by MIS was evident at both 24 and 48 h. As shown in Fig. 2, the cell viability was decreased to 57–72% of control in C33A cell, 76–85% in CaSki cell, and 89–93% in SiHa cell. C33A and CaSki cells showed the negative correlation between the MIS exposure time and the viability (P<0.05).

Figure 2
Effect of MIS on the viability of 293 (A) and of C33A (B), CaSki (C), and SiHa cells (D). Cells were treated with MIS at 10 μg/ml 24 h after plating. At 24 and 48 h after treatment, cells were stained MTT, and the absorbance was read at 550 nm. ...

To determine whether the anti-growth activity was related to cell cycle regulation, the cell cycle phase distribution after MIS treatment was analyzed by flow cytometry (Fig. 3). When cells were incubated with 10 μg/ml of MIS for 24 and 48 h, S and G2M phases were decreased, and sub-G0G1 and G0G1 phases were increased. In C33A cell, the sub-G0G1 and G0G1 phases were increased 6% and 3% at 24 h and 10% and 8% at 48 h compared to controls, respectively. In CaSki cell, the sub-G0G1 and G0G1 phase was increased 3% and 5% at 24 h and 6% and 8% at 48 h compared to controls, respectively, but SiHa cell demonstrated minimal response. This finding could be partially explained by the fact that MIS may induce G1/S arrest at an early time point subsequently leading to cell-death.

Figure 3
Cell cycle distribution after exposure to MIS in 293 (A) and of C33A (B), CaSki (C), and SiHa cells (D). Cells were treated with 10 μg/ml MIS for 24 and 48 h, respectively. Then they were trypsinized and fixed in 70% ethanol. After washing, cells ...

In fact, time-related induction of cell death by MIS on cervical cancer cell lines was detected by FACS analysis of cells stained with Annexin V-FITC and PI (Fig. 4). Annexin V-FITC staining showed cellular apoptosis to be 9.05%, 4.61% and 1.50% after 24 h of MIS exposure and 13.65%, 5.17% and 2.02% after 48 h in C33A, CaSki and SiHa, respectively. There was a negative correlation between cellular survival and MIS exposure time.

Figure 4
Induction of appoptosis by MIS in 293 (A) and of C33A (B), CaSki (C), and SiHa cells (D). Cells were treated with 10 μg/ml MIS for 24 and 48 h, respectively. For apoptosis, the externalization of phosphatidylserine was assessed by measuring Annexin-V-FITC ...

Identification of large-scale molecular changes and characteristic molecular signature of MIS

To identify a molecular signature that is specifically induced by MIS, serial gene expression analyses using large scale comprehensive DNA microarray experiments were conducted. Because MIS showed sustained growth inhibitory activity for at least 48 h, CaSki cells were continuously treated with MIS for up to 96 h and the DNA harvested for microarray analysis at multiple time points as early as 6 h. As shown in Fig. 5A, unsupervised hierarchical clustering of 14,930 genetic elements, which passed the minimum selection, and filtering criteria (Materials and methods) resulted in two separate subclusters on the dendrogram; a short-term exposure group (0–24 h of MIS-treatment) and a long-term exposure (48–96 h) group. To identify genes that are continuously changing due to MIS action, mean values of the entire pool of genetic elements in non-treated cells (0 h of MIS) was subtracted from that of the long-term exposure group. The 1690-outlier genes from this analysis were then re-examined in the expression data of short-term exposure group and then shown as a heat map (Fig. 5B). As shown in this figure, most of outlier genes showed gradual and continuous changes from early MIS exposure with a few exceptions (Fig. 5B).

Figure 5
Differential gene expression profiling and identification of large-scale molecular changes in the CaSki cervical cancer cell line that was treated with MIS at 10 μg/ml. (A), Unsupervised hierarchical clustering of 14,930 genetic elements with ...

Molecular dissection of cell growth regulation by MIS through pathway mining analyses

By an in depth examination of the genes identified as candidate MIS targets it was possible to locate downstream signaling pathways under the control of long-term MIS treatment of CaSki cells. This process was accomplished by subjecting the MIS regulated 1,690 genes to the pathway mining tool in PANTHER Classification System ( As listed in Table I, major processes that MIS-characteristic genes are involved in are pathways in cancer, cell cycle, and apoptosis. Out of 14,930 genes showing time-dependent change (Fig. 5A), only 1,690 genes showed differences of expression more than 1.5-fold and were grouped as functional pathway category (Fig. 5B).

Table I
Summary of the KEGG pathways that are part of the characteristic molecular signature of MIS in Caski cells.

Of 1,690 outlier genes, 52 genes were mapped into cancer pathways which included most genetic elements (Table I) using the KEGG pathway database (Fig. 6). Genes (n=21) were mapped into cell cycle (Fig. 7) and 13 genes were mapped into apoptosis (Fig. 8). MIS treatment elevated the expression of p107 and p16, especially variant 1 among the 3 transcript variants. In contrast, expression of p130 showed no significant change. Interestingly, an increase in the expression of p107 and a decrease in the expression of E2F2 and E2F3 were observed after MIS treatment (Fig. 9). The expression of E2F4 and E2F5 showed a decrease in late time point, in contrast, E2F6, E2F7 showed an increase 72 h and at 96 h after MIS treatment respectively.

Figure 6
Outlier expression profile of cancer pathway-related genetic elements changed significantly by MIS in the CaSki cells. Of 1,690 outlier genes, 52 genes were mapped into pathway in cancer which included most genetic elements (Table I) using the KEGG pathway ...
Figure 7
Outlier expression profile of cell cycle-related genetic elements changed significantly by MIS in the CaSki cells. Of 1,690 outlier genes, 21 genes were mapped into cell cycle through the KEGG pathway database.
Figure 8
Outlier expression profile of apoptosis genetic elements changed significantly by MIS in the CaSki cells. Of 1,690 outlier genes, 13 were mapped to apoptotic pathways in the KEGG database.
Figure 9
Validation of genes previously known to be changed by MIS treatment.


In a previous study with non-HPV-related cervical cancer cell line C33A, MIS treatment induced up-regulation of both p107 and p130 proteins; however, the functional consequence of this interaction has not been reported in the HPV-related cervical cancer cell line CaSki thus far (10).

It has also been demonstrated in previous studies that recombinant human MIS inhibits the growth of the human epithelial ovarian cancer cell line OVCAR-8 through specific induction of the cyclin-dependent kinase inhibitor (CDKI) p16 expression and via regulation of p130 and E2F1 when Rb levels were not detectable (5). A similar mode of cell cycle regulation by MIS has been investigated in other cancers (10,11). In the non-HPV-related human cervical cancer cell line C33A, MIS induces expression of tumor suppressor protein p16. In addition to the induction of p16 expression, the up-regulation of p107, p130, and E2F1 is important to MIS for arresting cell growth. This finding suggested that MIS needs p130 for cell cycle exit and p107 for growth inhibition in cervical cancer cells, which in turn arrest cell growth at the G1/S phase (10).

Cervical cancer remains the second most common cause of cancer-related deaths in women worldwide. An important factor in cervical cancer is the infection of high-risk HPV. HPVs are causative agents of over 99% of cervical cancers. Mutations in cellular genes and chromosomal rearrangements induced by genomic instabilities are important contributing events (21). Hence, in order to determine whether cervical cancer is sensitive to MIS, we investigated the effect of MIS on HPV-transformed cervical cancer cell lines.

In this study, to reveal the molecular mechanism by which MIS inhibits the growth of cervical cancer cells, we analyzed the HPV16-related human cervical cancer cell line CaSki, which expresses significant levels of MISRII. For the sake of elucidating mechanisms by which MIS affects the growth of cervical cancer cells of a more common type of cervical cancer, in terms of HPV status, we examined the CaSki cell line using the DNA microarray technique to get a broad insight into the process. CaSki cells related to HPV-16 showed 15–24% reduction in cell survival and an increase in G0G1/sub-G0G1 along with decrease in S phase subfraction. These results were supported by microarray data adapted to pathway analysis for cell cycle; the data showed that many of the genes whose expression increased greater than 1.5-fold were those that are well known to be responsible for the G1/S checkpoint. In this experiment, we found that after MIS treatment, the expression levels of E2F2 and E2F3 decreased, whereas that of E2F1 showed no significant change. It implies that E2F2 and E2F3 are more likely than E2F1 to be associated with MIS-induced apoptosis of HPV16-related cervical cancer cells.

It has been reported that in many types of cells, MIS inhibits proliferation by increasing the expression of p16, a protein of the INK4 family of CDKIs, and adjusting the expression levels of p107 and p130, which act as G1 checkpoints in a pRb-independent manner, and then finally increasing the expression of the transcription factor E2F, especially that of E2F1 and E2F4, in normal ovarian cortex cells (HOSE6–3), the ovarian cancer cell line OVCAR-8, and the cervical cancer cell C33A with a pRb mutation (5,10). On the other hand, in HPV-positive CaSki and SiHa cells, the HPV E7 protein binds to the pRb protein family, including proteins p107 and p130 (5). However, considering the unusual overexpression of p16INK4A in cells showing pRB inactivation by HPV (22), an antiproliferative mechanism similar to that in C33A cells could be assumed for CaSki cells, even though the degree of suppression differs. Even in endometrial cancer cell lines (AN3CA) lacking p16 and pRb, MIS-induced apoptosis by increasing p107 and p130 expression in a p16-independent manner and decreasing E2F1 expression (11).

CaSki cells show a persistently low expression of pRb; hence, we cannot exclude the possibility that pRb may be contributing in some minor way in cell cycle control. MIS treatment elevated the expression of p16, which is known to arrest the cell cycle by blocking CDK4/6, especially variant 1 among the 3 transcript variants. Interestingly, an increase in the expression of p107, which is a pRb-related pocket protein, and a decrease in the expression of E2F2 and E2F3 were observed after MIS treatment. Cell cycle arrest induced by p16 is known to be mediated by p107 and p130, and pRb was found to be insufficient for a p16-induced cell cycle arrest in primary mouse embryonic fibroblasts specifically lacking pRb-family members (23,24).

As in the ovarian cancer cell line OVCAR-8, growth suppression in the C33A cervical cancer cell line by MIS is associated with induction of the p16 tumor suppressor protein. However, in contrast to OVCAR-8 cells, induction of p130 and p107 appears to play an important role in the MIS-induced inhibition of C33A cell growth (10). On considering the intracellular events, reduction of activity of CDK complexes by CDKIs including p16, p15, p21, and p27 is followed by an increase in the expression of p107 and p130, decrease in E2F activity, and finally, cell cycle arrest (25,26). In the endometrial cancer cell line AN3CA, MIS increases p130 expression and decreases E2F1 expression (11); however, MIS was found to reduce E2F2 and E2F3 expression without altering E2F1 expression. Hence, rather than E2F1, E2F2 and E2F3 are more likely to be associated with the MIS-induced apoptosis of HPV16-related cervical cancer cells. These findings imply that MIS-induced changes in the expression of genes related to cell cycle control and apoptosis in CaSki cells differ from those in other cell lines, just as gene expression changes in cervical cancer cells may vary depending on the cell line.

Increase in the expression of GADD45A, which is known to be involved in cell cycle arrest, and decrease in the expression of the cyclin B1-encoding gene, which is known to be suppressed by GADD45A induction, are novel findings of the experiment and serve as important clues to the anti-tumor mechanism of MIS in HPV16-positive cervical cancer cells. In addition, it is also well known that cytochrome C is released during apoptosis in small amounts, but not enough to support the hypothesis that apoptosis is the main anti-tumor mechanism of MIS. However, MIS definitely induces apoptosis in CaSki cells as inferred from the apparent increase in apoptosis-related genes such as caspase 3 after MIS treatment.

Therefore, we may think that the major mechanism by which MIS inhibits cell growth in CaSki cells is as follows. MIS suppresses cell division by inducing an increase in the expression of CDKIs such as p16; this results in a decrease in the CDK complex activity, and finally blocks E2F activity. Although the suppression of transition to the S phase by a concerted change in the expression of genes responsible for the G1/S checkpoint is one of the probable mechanisms, the low levels of Rb gene expression indicate that it is not the main mechanism.

The E2F family of transcription factors consists of 9 members that are critical to oncogenesis because these factors play a central role in cell growth and proliferation via their ability to regulate genes involved in the cell cycle. In a recent experiment, the overexpressed E2F1 through 6 in non-transformed 3T3 fibroblasts were used to evaluate the ability of these transgenic cell lines to grow under low serum conditions. Those results showed that these 6 E2F family members can be divided into 3 groups that exhibit differential oncogenic capacity. The first group consists of E2F2 and E2F3a, both of which have strong oncogenic capacity as observed in our experiment. The second group consists of E2F1 and E2F6, which were neutral when compared to control cells transfected with the vector alone. The third group consists of E2F4 and E2F5, which generally repress E2F-responsive genes and demonstrated a strong capacity to inhibit transformation in growth inhibition assays. These results imply that the pattern of expression of these 6 E2F family members in a cell could strongly influence the cell’s susceptibility to oncogenic transformation E2F1 and E2F6 had weak or no oncogenic capacity. E2F6 is unique in that it retains the conserved E2F DNA binding and dimerization domains but lacks the C-terminal transactivation and pocket protein binding domains characteristic of other members. Therefore, E2F6 can act as a competitive inhibitor of other E2F proteins in DNA binding, and when overexpressed, can oppose the function of both the oncogenic proteins E2F2 and E2F3a as well as the anti-oncogenic protein E2F4 and 5 E2F family members. This behavior may explain why E2F6 is neutral in our transformation assays (27).

This study provides only limited data interpretation on the mechanism by which MIS suppresses HPV-related cervical cancer cells but it does provide a large amount of new genetic information. However, a MIS-derived regimen is possibly advantageous as a curative or palliative treatment option because no specific toxicity is reported to be associated with MIS concentrations as high as 60 times that in a normal newborn male baby and as 1,000 times in patients with granulosa cell tumor (28).


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