Functional interaction between S100A1 and MDM2 may modulate p53 signaling in normal and malignant endometrial cells

Background S100A1 expression is deregulated in a variety of human malignancies, but its role in normal and malignant endometrial cells is unclear. Methods We used endometrial carcinoma (Em Ca) cell lines to evaluate the physical and functional interaction of S100A1 with p53 and its negative regulator, mouse double minute 2 (MDM2). We also evaluated the expression of S100A1, p53, and MDM2 in clinical samples consisting of 89 normal endometrial and 189 Em Ca tissues. Results S100A1 interacted with MDM2 but not p53 in Em Ca cell lines. Treatment of cells stably overexpressing S100A1 with Nutlin-3A, an inhibitor of the p53/MDM2 interaction, increased expression of p53-target genes including p21waf1 and BAX. S100A1 overexpression enhanced cellular migration, but also sensitized cells to the antiproliferative and proapoptotic effects of Adriamycin, a genotoxic agent; these phenotypes were abrogated when S100A1 was knocked down using shRNA. In clinical samples from normal endometrium, S100A1 expression was significantly higher in endometrial glandular cells of the middle/late secretory and menstrual stages when compared to cells in the proliferative phases; high S100A1 was also positively correlated with expression of MDM2 and p21waf1 and apoptotic status, and inversely correlated with Ki-67 scores. However, such correlations were absent in Em Ca tissues. Conclusion The interaction between S100A1 and MDM2 may modulate proliferation, susceptibility to apoptosis, and migration through alterations in p53 signaling in normal- but not malignant-endometrial cells. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09249-1.


Background
Endometrial carcinoma (Em Ca) is the most prevalent malignancy of the female genital tract in developing countries [1,2]. In Japan, the age-adjusted prevalence of Em Ca for women in 2014 was 16.0 per 100,000. The overall rate has increased four-fold in the past 30 years, with a particularly rapid increase in women under 40 years old [3,4]. Although most Em Ca patients are diagnosed at an early stage, 15-20% of these tumors are advanced or recurrent diseases and are associated with a 5-year survival rate of 17% [5]. Therefore, there is an urgent need to identify novel biomarkers or therapeutic targets for diagnosis or treatment.
The S100 protein family is comprises multigene calcium-binding proteins of the EF-hand type and has more than 25 members, each encoded by separate gene clusters on chromosome 1q21. This region is prone to chromosomal rearrangements and is frequently rearranged in cancers [6,7]. Although S100 family members show high similarity at the sequence and structural level, they are not functionally interchangeable [8][9][10]. The proteins modulate a plethora of biological processes including proliferation, migration and invasion, inflammation, and differentiation. These effects are mediated via the interaction of S100 protein with a variety of protein targets including the tumor suppressor, p53, and its negative regulator, mouse double minute 2 (MDM2) [11]. S100 expression is deregulated in several human malignancies including carcinomas of the head, neck, lung, and breast [8][9][10]. However, the precise pattern of S100 expression and biological activity varies in a stage-and subtype-specific manner [8][9][10]. In gynecologic malignancies, analysis of S100 family members may facilitate diagnosis of ovarian carcinoma and help to refine prognosis [12]. However, a greater understanding of their functional roles in normal and malignant endometrium is still required.
Based on our previous work [13,14], we hypothesized that S100 family members might regulate endometrial glandular cell biology and tumorigenesis through modulation of the p53/MDM2 axis. To test this, we first examined the expression of several S100 family members in Em Ca cell lines, and interrogated the Cancer Genome Atlas (TGCA) data to determine whether S100 expression had prognostic significance in Em Ca. We subsequently focused on an association between S100A1 and p53/MDM2, and determined its functional impact on proliferation, apoptosis, and migration in normal and malignant endometrial cells.

Plasmids and cell lines
A FLAG-tagged S100A1 expression plasmid generated by polymerase chain reaction (PCR) was cloned into a p3xFLAG-CMV14 vector (Sigma-Aldrich Chemicals, St. Louis, MO, USA). S100A1-specific short hairpin RNA (shRNA) oligonucleotides were designed as described previously [14]. Single-stranded S100A1 oligonucleotides were annealed and then cloned into BamH1-EcoRI sites of RNAi-Ready pSIREN-RetroQ vector (Takara, Shiga, Japan), according to the manufacturer's instructions. The primer sequences for the PCR reaction used in this study are listed in Table 1.
Eight Em Ca cell lines (Hec1B, Hec6, Hec108, Hec116, Hec155, Hec251, Hec265 and Ishikawa) were used as described previously [15]. S100A1 expression plasmid or empty vector was transfected into Hec6 and Ishikawa cells (which lack endogenous S100A1 expression) and stable overexpressing clones were established. Conversely, we using an shRNA targeting the S100A1 gene [13,16] to reduce the levels of S100A1 in Hec251 cells, which have relatively high endogenous S100A1 expression (Additional file 3: Figure S3A). These cells are referred to as H251-S100A1-knockdown (KD) in the manuscript.

Reverse transcription (RT)-PCR
cDNA was synthesized from 2 μg of total RNA. Amplification by RT-PCR was carried out in the exponential phase to allow comparison among cDNA synthesized from identical reactions using specific primers (Table 1). Primers for the GAPDH gene were also used as described previously [13,16].

Flow cytometry
Cells were fixed using 70% alcohol and stained with propidium iodide (Sigma) for cell cycle analysis. Cells were analyzed by flow cytometry using BD FACS Calibur (BD Biosciences, Franklin Lakes, NJ, USA) and CellQuest Pro software version 3.3 (BD Biosciences).

Apoptotic index
Apoptotic cells were identified in hematoxylin-eosin (HE)-stained sections according to the criteria of Kerr et al. [17]. Five fields were randomly selected, and the number of apoptotic cells was calculated by counting Table 1 Primer sequences for functional analysis of S100 gene family members used in this study the mean number of apoptotic cells per high-power field (HPF).

Immunofluorescence
After transfection of FLAG-tagged S100A1, the cells were incubated with anti-FLAG M2 antibody. FITC-or rhodamine-labeled anti-mouse or rabbit IgG secondaries (Molecular Probes, Leiden, The Netherlands) were used as described previously [13].

Wound healing assay
Cells were seeded into 24-well tissue culture plates and grown to reach almost total confluence. After a cell monolayer formed, a scratch wound was made with a sterile 200-μL tip. The area of the wound was analyzed using ImageJ software version 1.41 (NIH, Bethesda, MD, USA). Cell migration was calculated based on the number of pixels occupied by the wound closure compared to control scratches.

Migration assay
Cell migration was determined using 24-well transwell chambers with 8-μm pore size (Corning, NY, USA). The lower chamber was filled with medium containing 10% serum. Cells were suspended in serum-free medium and transferred into the upper chamber. After 48 h, the number of HE-stained cells on the bottom surface of the polycarbonate membranes was counted using a light microscope.

Clinical cases
Histological findings were reviewed in hysterectomy specimens of endometrioid-type Em Cas from the case records of Kitasato University Hospital during the period from 2007 to 2020, according to the criteria of the 2014 World Health Organization classification [18]. Each case was also staged according to the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system and the TNM classification [19]. A total of 189 Em Ca cases, including 109 of grade (G)1, 51 of G2, and 29 of G3 were investigated. The mean age of the patients was 59.1 years (range from 31 to 92), and 113 were postmenopausal. In addition, our cases included 136 subcategorized as clinical FIGO stage I and 40 as stage II-IV, 77 with upper (<1/2) myometrial invasion and 98 with lower (≧1/2) myometrial invasion, as well as 20 that were positive for nodal metastasis and 156 that were negative. Eighty-nine biopsy specimens of normal endometrial tissues including 32 in the proliferative phase, 41 in the secretory phase (18 early and 23 middle and late), and 16 in the menstrual phase were also investigated. All tissues were routinely fixed in 10% formalin and processed for embedding in paraffin. Approval for this study was given by the Ethics Committee of Kitasato University School of Medicine (B19-144).

Immunohistochemistry (IHC)
IHC was performed using a combination of microwave oven heating and polymer immunocomplex (Envision, Dako) methods as described previously [15,16].
For evaluation of IHC findings, scoring of cytoplasmic and/or nuclear immunoreactivity for S100A1, p53, MDM2, p21 waf1 , and Ki-67 in normal endometrial tissues was performed based on the percentage of immunopositive cells and the immunointensity; the values of these two parameters were multiplied together as described previously [13,16]. In Em Ca tissues, scoring of S100A1 and p53 immunoreactivities was also carried out in a similar manner. Nuclear immunopositivity for MDM2, p21 waf1 , and Ki-67 was counted in at least 1000 cells from five randomly selected fields and the labeling indices (LIs) were then calculated as a percentage. In addition, the number of cleaved PARP1-positive cells in five randomly selected fields was used to calculate the mean number of apoptotic figures per HPF.
To examine any association between S100A1 immunoreactivity and several clinicopathological factors, the score was divided into two categories (high and low) with a mean score of 4.5 used as cutoff.

Mutation analysis for TP53 and MDM2 genes
In Hec6, Hec251, and Ishikawa cells, exons 5 to 9 of the TP53 gene were amplified by PCR, and the products were subjected to direct sequencing PCR as described previously [13]. Cancer Cell Line Encyclopedia (CCLE) data describing MDM2 gene status was also extracted form cBioPortal (http://www.cbioportal.org).

TCGA data analysis
Uterine Corpus Endometrial Carcinoma TCGA PanCancer data describing mRNA expression data (RNA Seq V2 PSEM) for the S100 family in 520 cases were extracted from cBioportal for Cancer Genomics (http:// www. cbiop ortal. org/). The data were subcategorized into 'high' and 'low' groups (scores >0 and 0, respectively) based on the median Z score (= 0) for mRNA expression levels in each category, and then examined for any correlation with overall survival (OS) or progression-free survival (PFS).

Statistics
Comparative data were analyzed using the Mann-Whitney U-test, and Spearman's correlation coefficient. The cutoff for statistical significance was set as P < 0.05.

Expression of S100 family members and their prognostic significance in Em Ca
We first examined the expression of 13 S100 family members in eight Em Ca cell lines. S100A10 and S100A11 mRNAs were the most abundant, whereas levels of S100A1, S100A2, S100A4, S100A9, and S100A13 were moderate. There was very little or no expression of S100A3, S100A5, S100A6, S100B, S100CA, and S100P (Additional file 1: Figure S1).
We then analyzed data from TCGA to determine whether any S100 mRNAs had prognostic significance in Em Ca. Among the 18 S100 family members, copy number variations including gain and amplification were significantly higher in high mRNA expression categories compared to the low groups in 11 S100 family members, whereas such associations with the gene mutations were not evident (Additional file 9: Table S1). The mRNA expression in 10 S100 family members were also significantly associated with TP53, but not MDM2, gene status (Additional file 2: Figure S2). In addition, Kaplan-Meier curve analysis showed that patients with high S100A1, S100A5, and S100P mRNA expression had poorer OS and/or PFS when compared to patients with low expression of these genes (Additional file 3: Figure S3). Based on the above findings, we therefore focused on the functional role of S100A1 in normal and malignant endometrial cells.

S100A1 interacts with the p53/MDM2 axis in Em Ca cells
Three Em Ca cell lines, Hec6, Hec251, and Ishikawa cells, had mutations in the DNA binding domains of the TP53 gene (Additional file 4: Figure S4). CCLE data analysis also revealed MDM2 gene mutation (P301T in the acidic domain) in the Hec251 cell line, whereas the mutations were not evident in the Hec6 and Ishikawa cell lines.
We were able to detect reciprocal pairwise interactions between S100A1, p53, and MDM2 in both stable H6-and Ish-S100A1 cell lines, with the exception of an association between S100A1 and p53 ( Fig. 1A and Additional file 6: Figure S6A). Treatment of cells with Nutlin-3A, which inhibits the proteasomal degradation of p53 by antagonizing its interaction with MDM2 [20], also increased p53 and MDM2 protein levels. This was accompanied by an increase in the expression of p53 transcriptional targets including p21 waf1 and/or BAX in S100A1 overexpressing cells as compared to control cells ( Fig. 1B and Additional file 6: Figure S6B). These findings Fig. 1 Interactions between S100A1, MDM2, and p53 in Hec6 cells. A Western blot analysis (WB) with anti-MDM2 (upper panel), anti-p53 (middle panel), and anti-FLAG M2 antibodies (lower panel) after immunoprecipitation (IP) with the indicated antibodies using stable H6-S100A1#55 cell lysates. Input represents 5% of the total cell extract. Normal rabbit IgG was used as a negative control. In the middle panel (p53), the band indicated by an arrow in the S100A1 lane is non-specific, since the molecular weight is slightly higher than that of endogenous p53 (input). B Western blot analysis of the indicated proteins in H6-S100A1 cells in response to Nutlin-3A treatment for the times shown. The p53 and MDM2 bands are indicated by arrows suggest that S100A1 interacts with MDM2, leading to induction of p53-target molecules in Em Ca cells.

Overexpression of S100A1 is associated with changes in cell proliferation, apoptosis, and migration in Em Ca cells
To examine whether S100A1 modulates proliferation in Em Ca cells, we looked for variations in S100A1 expression during cell cycle progression. Figure 2A shows that the nucleocytoplasmic distribution of S100A1 in cells stably or transiently overexpressing the protein was similar in G1-, early S-, and G2/M-arrested cells; this was consistent with data from immunofluorescence staining (Fig. 2B). To further examine whether S100A1 could alter cell growth and expression of major cell cycle-related molecules in G1, S, and G2/M phases during cell cycle progression, we seeded S100A1-overexpressing and S100A1-KD cells at low density and rendered them quiescent by serum starvation before adding back serum to induce cell cycle entry. As shown in Fig. 3A (and Additional file 7: Figure S7A), cells stably overexpressing S100A1 had a low proliferative rate, particularly in the exponential growth phase, along with an increased proportion of cells in G1 phase during cell cycle progression; this was concomitant with increased MDM2 and p21 waf1 expression. In contrast, H251-S100A1-KD cells proliferated more rapidly and this resulted in a decrease in the numbers of cells in G1 phase, together with decreased p21 waf1 but not MDM2 expression (Fig. 3B).
Next, we examined whether there was an association between S100A1 expression and apoptosis in response to the genotoxin, ADR. Overexpression of S100A1 in Hec6 cells increased the sub-G1 fraction (Fig. 4A) and the number of apoptotic cells (Fig. 4B) following ADR treatment. This was observed together with increased expression of p53, MDM2, BAX, and cleaved caspase-3, and with decreased BCL2 expression (Fig. 4C). Similar A Stable H6-S100A1#55 (upper) and S100A1-transiently transfected Ishikawa cells for 24 h (lower) were synchronized in the G1 phase by treatment with 50 nM rapamycin, in the early S phase by 2 μg/mL aphidicolin, or in the G2/M phase by 0.25 μg/mL nocodazole for 24 h. Western blot analysis of proteins in the cytoplasmic and the nuclear fractions. B After FLAG-tagged S100A1 was transiently transfected into Ishikawa cells, the cells were treated with 50 nM rapamycin, 2 μg/mL aphidicolin, or 0.25 μg/mL nocodazole for 24 h and then stained using anti-FLAG M2 antibody. Note the cytoplasmic and nuclear S100A1 staining, independent of the cell cycle phase Fig. 3 Changes in proliferation following overexpression and knockdown of S100A1 in Hec6 or Hec251 cells. A, B Upper left: two independent clones of stable H6-S100A1 (A) and H251-shS100A1 cells (B), as well as controls, were seeded at low density. The cell numbers are presented as mean ± SDs. P0, P3, P6, and P9 are 0, 3, 6, and 9 days after cell passage, respectively. Lower left: FACS analyses of stable H6-S100A1, H251-shS100A1 and control cells at 3 days after seeding (P3). Right: western blot analysis of the indicated proteins in stable H6-S100A1 cells (A), H251-shS100A1 cells (B), and controls following re-stimulation of serum-starved (24 h) cells with 10% serum for the indicated times. The p53 and MDM2 bands are indicated by arrows Fig. 4 Changes in apoptosis following overexpression or knockdown of S100A1 in Hec6 or Hec251 cells. A, D Left: stable H6-S100A1 (A), H251-shS100A1 cells (D), and controls were treated with 1 μg/mL Adriamycin (ADR) for the time shown. Daggers indicate sub-G1 fraction. Right: the percentages of cells undergoing apoptosis (sub-G1 fractions) were calculated following flow cytometry. C, control (B, E) Left: after 1 μg/mL ADR treatment, stable H6-S100A1 (B), H251-shS100A1 cells (E), and controls undergoing apoptosis are indicated by arrows. Original magnification, x400. Right: the numbers of apoptotic cells are shown as mean ± SDs. Con, control (C, F) Western blot analysis of the indicated proteins in total lysates from stable H6-S100A1 cells (C), H251-shS100A1 cells (F), and controls treated with 1 μg/mL ADR for the times shown findings were also observed in ADR-treated Ish-S100A1 cells (Additional file 7: Figure S7B, C, D). In contrast, the sub-G1 fraction and the number of apoptotic cells was reduced when S100A1 levels were reduced with shRNA ( Fig. 4D, E). Consistent with this, levels of cleaved caspase-3 were lower in ADR-treated H251-S100A1-KD cells (Fig. 4F).
Since several S100 proteins modulate cell mobility [21][22][23], we examined whether S100A1 specifically regulated cell migration. Overexpression of S100A1 significantly increased the migration rate of cells in a wound assay in both cell types studied (Fig. 5A, B and Additional file 8: Figure S8). In contrast, cellular migration capability was significantly decreased when S100A1 was knocked down (Fig. 5C).
These findings suggest that S100A1 modulates proliferation, apoptosis, and migration in Em Ca cells.

IHC findings in normal and malignant endometrial tissue
In the glandular components of normal endometrium, we observed nuclear/cytoplasmic S100A1 immunostaining and nuclear immunoreactivity for p53, MDM2, p21 waf1 , and Ki-67 (Fig. 6A). Average IHC scores for S100A1, MDM2, and p21 waf1 and apoptotic features were significantly higher in menstrual and/ or middle/late secretory phases than in other stages. In contrast, Ki-67 score showed a significant stepwise decrease from proliferative to menstrual phases (Fig. 6B). As shown in Table 2, average S100A1 score positively correlated with MDM2 and p21 waf1 score and with apoptotic features; S100A1 score was inversely correlated with Ki-67 score. p53 score was significantly associated with Ki-67 score and apoptotic status, whereas p21 waf1 score was significantly associated with MDM2 score and apoptotic cells.
We also examined the coincidence of the above markers with cleaved PARP1, a marker of cells that are undergoing apoptosis [24], in Em Ca tissue. A variety of p53 immunointensities was observed in the tumor tissues, but such findings were relatively minor in those of other markers (Fig. 7A). S100A1 and p53 scores, Ki-67 LIs, and cleaved PARP1-positive cells were significantly higher in G3 Em Ca than G1 or G2 tumors, whereas MDM2 score was significantly higher in the latter (Fig. 7B). Average S100A1 score was not associated with any of the markers investigated, whereas p53 score positively correlated with Ki-67 LIs and cleaved PARP1-positive cells ( Table 2). There were no associations between S100A1 score and any of the clinicopathological factors examined (see Methods and Additional file 10: Table S2). stable H6-S100A1 cells and control cells were seeded in a 24-well transwell plate and incubated for 48 h in serum-free medium. Cells that migrated were stained with hematoxylin-eosin and counted using a light microscope. Lower panel: cell numbers are presented. The experiment was performed in duplicate. Con, control

Discussion
We previously demonstrated that both cytoplasmic and nuclear S100A4 expression is substantially increased in G2/M-arrested Em Ca cells compared with G1-and early S-arrested cells [13]. Since the interaction between S100A1 and S100A4 is mutually antagonistic [25,26], we expected cyclic S100A1 expression during cell cycle progression. However, our current data reveal that this is not the case. In general, S100A1 is abundantly expressed in cardiomyocytes, skeletal muscle fibers, and neural populations, where it regulates cytoskeletal fibers including microtubules, type III intermediate filaments, and actin [27]. Together with our current results, this therefore suggests that expression of S100A1 (and in particular the cytoplasmic form) may help to establish and maintain endometrial gland cell shape, which in turn promotes a secretory phenotype during normal menstrual cycles.
Although Hec6, Hec251, and Ishikawa cells used in this study had TP53 mutations, a mutant p53 knock-in mouse in which normal tissues and some tumors have low levels of mutant p53 protein unless MDM2 or p16 INK4A are absent, indicating that the mutant p53 is regulated by the same signals as wild-type p53 [28]. Moreover, stabilization of mutant p53 nevertheless triggers extensive apoptosis, indicative of residual wild-type activities or p53-independent pathway activity [29,30]. Thus, there is complexity of mutant p53, where a mutant can be antiapoptotic in some carcinoma cells while pro-apoptotic in others.
Consistent with a previous study showing that S100A1, as well as S100A2, S100A4, and S100A6, interact with MDM2 and disrupt the extent of MDM2-mediated p53 ubiquitylation [31], we found that S100A1 interacts with MDM2, the negative regulator of p53, in Em Ca cells. Moreover, treatment with the MDM2 antagonist, Nutlin-3A [20], selectively increased MDM2 expression in S100A1-overexpressing Em Ca cells. Since this treatment also elicited increased expression of p53 and its target genes including p21 waf1 and BAX, we suggest that S100A1 overexpression may increase the cellular fraction of p53-free MDM2. Although some S100 proteins including S100B, S100A4, S100A2, and S100A1 also interact with p53, they exert different effects on p53 activity [9,32,33], indicating that the activity balance of different S100 proteins may contribute to determining the functions of S100 family members in cells. However, we could not demonstrate any interaction between S100A1 and p53 in Em Ca cells, whereas other studies have demonstrated that S100A1 binds to a peptide derived from the C-terminal negative regulatory domain of p53 [32,33]. This discrepancy suggests that S100A1 may require additional cell-and/ or tissue-specific factors to interact with p53. As another possibility, it appears that p53-S100A1 complex may be short lived or dependent on a high local concentration of the interactors or the intactness of the subcellular compartment as described previously [34]. In addition, there is a difference in detection sensitivity among the three antibodies used in this study. Similar findings were also observed regarding the association between p53 and S100A4 [14,35].
In our results, stable overexpression of S100A1 significantly inhibited cell proliferation, and increased MDM2 and p21 waf1 expression in response to serum stimulation. S100A1 overexpression also sensitized cells to genotoxin-induced apoptosis, probably due to increased BAX and cleaved caspase-3 expression and decreased BCL2 expression. In contrast, S100A1-KD cells elicited opposite effects. From these data, we infer that S100A1 may bind to MDM2 and reduce its ubiquitylation of p53, which in turn leads to reduced proliferation and increased apoptosis, probably due to transcriptional activation of p53-target genes including p21 waf1 and BAX. In addition, S100A1 may interfere with MDM2-mediated p21 waf1 proteasomal degradation through its interaction with MDM2 [36,37]. Consistent with these, we found that the S100A1 score was significantly associated with MDM2 and p21 waf1 expression, as well as apoptotic status, in normal endometrial tissue during the menstrual cycle. Interestingly, the relationship between MDM2, Murine Double Minute X, and their putative targets E2F1, E2F3a, and p70 also suggests a mechanism for regulation of the cell cycle in the absence of wild-type p53 [38].
We also found that S100A1 overexpression enhanced cell migration, whereas S100A1 knockdown reduced motility. These pro-migratory but antiproliferative activities of S100A1 are consistent findings that migratory cells have a lower proliferation rate than those in the less mobile but highly proliferative tumor core [39][40][41]. Similar findings were also observed in ovarian carcinoma cells, supporting observations that S100A1 plays an important role in tumor cell migration through interaction with different components of the cytoskeleton including microtubule and intermediate filaments [42]. MDM2 induces epithelial-mesenchymal transition by enhancing Snail expression or via activation of Smad2/3 signaling in breast and lung carcinomas [43,44]. As these phenotypes are also induced by S100A1, and we observe a physical interaction between S100A1 and MDM2, we infer that S100A1 may mediate some of its biological effects via MDM2. Alternatively, it appears that overexpression or knockdown of S100A1 may be due to disruption of the S100A1-mediated physiological homeostasis in cells, and this in turn results in abnormalities of the p53/MDM2 axis. S100A1 expression can have different prognostic significance dependent on the specific type of gynecological malignancy. For example, S100A1 serves as a favorable prognostic factor in endometrioid subtypes of ovarian carcinomas [45], whereas its expression is associated with poor prognosis in ovarian and endometrial endometrioid carcinomas [46]. We found that S100A1 expression was significantly higher in G3 Em Ca as compared to G1 tumors. Moreover, our TCGA data analysis revealed a significant association between S100A1 mRNA expression and poorer OS and PFS in Em Ca. We therefore speculate that high S100A1 expression is an indicator of poor prognosis in Em Ca. However, S100A1 expression level did not correlate with several clinicopathological factors or with the status of MDM2 and other molecules in the p53 pathway in Em Ca tissues. The discrepancies between the results of Em Ca cell line-and tissue-based analyses are probably due to the presence of microenvironmental factors in the latter. For example, interleukin (IL)-6 and IL-8 released from myofibroblasts in the tumor microenvironment induce myeloid cells to differentiate into S100A8/S100A9-expressing myeloid-derived suppressor cells and M2 macrophages [47]. Further studies are now required to more fully elucidate the influence of S100A1 in malignancies, particularly with regard to metastasis and immune surveillance of tumors.
Conclusions S100A1 expression may modulate cell proliferation, apoptosis and migration through its interaction with MDM2 during the menstrual cycle in normal, but not malignant, endometrial tissue.
Additional file 6: Figure S6. Interactions between S100A1, MDM2, and p53 in stable Ish-S100A1 cells. (A) Western blot analysis (WB) with anti-MDM2 (upper panel), anti-p53 (middle panel), and anti-FLAG M2 antibodies (lower panel) after immunoprecipitation (IP) with the indicated antibodies using stable Ish-S100A1 cell lysates. Input represents 5% of the total cell extract. Normal rabbit IgG was used as a negative control. In the middle panel (p53), the band indicated by an arrow in the S100A1 lane is non-specific, since the molecular weight is slightly higher compared to that of endogenous p53. (B) Western blot analysis of the indicated proteins in stable Ish-S100A1 cells in response to Nutlin-3A treatment for the times shown. The p53 band is indicated by arrows.
Additional file 7: Figure S7. Changes in proliferation and apoptosis following overexpression of S100A1 in Ishikawa cells. (A) Upper left: two independent clones of stable Ish-S100A1 cells and control cells were seeded at low density. The cell numbers are presented as mean ± SDs. P0, P3, P6, and P9 are 0, 3, 6, and 9 days after cell passage, respectively. Upper right: FACS analyses of stable Ish-S100A1 and control cells at 3 days after seeding (P3). Lower: western blot analysis of the indicated proteins in stable Ish-S100A1 cells and controls following re-stimulation of serumstarved (24 h) cells with 10% serum for the indicated times. The p53 band is indicated by arrows. (B) Upper: stable Ish-S100A1 and control cells were treated with 1 μg/mL Adriamycin (ADR) for the times shown. Daggers indicate the sub-G1 fraction. Lower: the percentages of cells undergoing apoptosis (sub-G1 fractions) were calculated following flow cytometry. C, control (C) Left: after 1 μg/mL ADR treatment, stable Ish-S100A1 and control cells undergoing apoptosis are indicated by arrows. Original magnification, x400. Right: the numbers of apoptotic cells are shown as mean ± SDs. Con, control (D) Western blot analysis of the indicated proteins in total lysates from stable Ish-S100A1 and control cells treated with 1 μg/mL ADR for the times shown. The p53 band is indicated by arrows.
Additional file 8: Figure S8. Changes in cell migration following overexpression of S100A1 in Ishikawa cells. Left: a scratch was made in the middle of a layer of confluent Ish-S100A1 cells or control cells, and phase contrast images were taken 24 h later. The red lines indicate the borderlines between confluent cell layers and wound area. Right: the wound areas were calculated using Image J software version 1.41, with the area at 0 h post-wounding set as 1. The experiments were performed in triplicate. Data are expressed as mean ± SDs. Con, control Additional file 9: Table S1. Relationship between mRNA, copy number variations, and mutations in S100 family members.
Additional file 10: Table S2. Relationship between S100A1 score and several clinicopathological factors in endometrial carcinomas.