Skip to main content
Download PDF

Characterization of aldehyde dehydrogenase isozymes in ovarian cancer tissues and sphere cultures

BMC Cancer volume 12, Article number: 329 (2012) Cite this article

Abstract

Background

Aldehyde dehydrogenases belong to a superfamily of detoxifying enzymes that protect cells from carcinogenic aldehydes. Of the superfamily, ALDH1A1 has gained most attention because current studies have shown that its expression is associated with human cancer stem cells. However, ALDH1A1 is only one of the 19 human ALDH subfamilies currently known. The purpose of the present study was to determine if the expression and activities of other major ALDH isozymes are associated with human ovarian cancer and ovarian cancer sphere cultures.

Methods

Immunohistochemistry was used to delineate ALDH isozyme localization in clinical ovarian tissues. Western Blot analyses were performed on lysates prepared from cancer cell lines and ovarian cancer spheres to confirm the immunohistochemistry findings. Quantitative reverse transcription-polymerase chain reactions were used to measure the mRNA expression levels. The Aldefluor® assay was used to measure ALDH activity in cancer cells from the four tumor subtypes.

Results

Immunohistochemical staining showed significant overexpression of ALDH1A3, ALDH3A2, and ALDH7A1 isozymes in ovarian tumors relative to normal ovarian tissues. The expression and activity of ALDH1A1 is tumor type-dependent, as seen from immunohistochemisty, Western blot analysis, and the Aldefluor® assay. The expression was elevated in the mucinous and endometrioid ovarian epithelial tumors than in serous and clear cell tumors. In some serous and most clear cell tumors, ALDH1A1 expression was found in the stromal fibroblasts. RNA expression of all studied ALDH isozymes also showed higher expression in endometrioid and mucinous tumors than in the serous and clear cell subtypes. The expression of ALDH enzymes showed tumor type-dependent induction in ovarian cancer cells growing as sphere suspensions in serum-free medium.

Conclusions

The results of our study indicate that ALDH enzyme expression and activity may be associated with specific cell types in ovarian tumor tissues and vary according to cell states. Elucidating the function of the ALDH isozymes in lineage differentiation and pathogenesis may have significant implications for ovarian cancer pathophysiology.

Peer Review reports

Background

Ovarian cancer accounts for more than half of the deaths due to gynecological malignancy [1]. There were an estimated 14,000 deaths in 2010, thus making it the 5th most common cause of cancer death among women in the United States [2]. As most of the ovarian cancer patients are diagnosed in late stage and 80% of the patients recur despite successful surgery and chemotherapy, the 5-year survival rate is only 30% [3]. Hence, specific and sensitive screening programs and identification of targets that are central to ovarian pathogenesis are of paramount value in decreasing the mortality of ovarian cancer.

Epithelial ovarian cancer is a tumor with great diversity. According to World Health Organization (WHO) criteria, ovarian tumors can be classified as benign, low malignant potential (borderline), or malignant [4]. The histologic classification of ovarian carcinomas is based on morphologic criteria and corresponds to the different types of epithelia in the female reproductive system [5]. There are four major histologic subtypes of epithelial ovarian cancer [4]. Serous tumors are the most common type of ovarian neoplasm with epithelial cells resembling those of fallopian tube and comprise about 50% of primary epithelial ovarian tumors. Mucinous tumors represent 12-15% of epithelial ovarian cancers. They are cystic tumors with locules lined with mucin-secreting epithelial cells resembling either endocervical or colonic epithelium. Recent studies have shown that some mucinous ovarian tumors can be misdiagnosed due to metastasis from other organs [6]. Endometrioid and clear cell tumors each account for 10% of epithelial ovarian cancers. These tumors are thought to arise from foci of endometriosis and endometriotic cysts within the ovary [7, 8]. Different tumor subtypes are characterized by dysregulation in specific pathways and have important ramifications in disease prognosis and treatment response [9–11]. Unfortunately, the molecular mechanisms underlying ovarian carcinogenesis and histological differentiation remain elusive.

The cancer stem cell (CSC) model hypothesizes the presence of a cellular hierarchy in the tumors such that a subset of tumor cells have the ability to self-renew and generate the diverse cells that comprise the tumor [12]. CSCs may therefore be responsible for continual sustainment of tumorigenesis, as well as multilineage differentiation into different types of tumors. However, it is difficult to definitively identify cell surface immunophenotypes representing CSCs and their progeny in solid tumors. The cell surface biomarkers described thus far for the same tumor types are found highly variable by different research groups [13–15]. Recently there have been reports showing that differentiated cells can acquire self-renewing capacity [12, 16] and stem-like cancer cells arise de novo from non-stem cells in vitro and in vivo[17, 18], suggesting bidirectional interconversions between stem and non-stem compartments. Perturbation of the cell-state dynamics by genetic or pharmacological methods has the potential to change the proportions of subpopulations of cells. Hence, it is likely that the “stemness” of a tumor and its response to therapeutic manipulation depends on the stochastic state equilibrium in the populations of cancer cells. The sphere assay discovered in early stem cell studies relies on the capability of stem cells to form spheres when cultured in serum-free medium with growth factors to maintain the undifferentiated state [19]. Mammospheres formed by human mammary epithelial cells exhibit characteristics of early progenitor/stem cells and are able to differentiate along all three mammary epithelial lineages and develop complex functional mammary structures. Tumor sphere cells have recently been widely adopted as an in vitro model to study CSCs for human cancers [20–24]. The sphere cells possess self-renewal capacity, with continuous capacity of the dissociated single cells to form secondary spheres. Lower numbers of sphere cells than bulk cancer cells are sufficient to form tumors when transplanted into non-obese diabetic-severe combined immunodeficient (NOD-SCID) mice and show great metastatic capacity [20–24].

Many of the sphere cells and stem cells reported in different systems have been found to be associated with elevated ALDH1A1 enzyme activity as measured by a commercially available kit, Aldefluor® [20, 25, 26]. Positive correlations between ALDH1A1 enzyme activity and expression are apparent [27], indicating that ALDH1A1 expression or activity may be used with other cell surface markers to identify tumor-initiating cells in hepatocellular, prostate and breast solid carcinomas [28–30]. ALDH1A1 expression has been found to be associated with early metastasis and poor clinical outcome [26]. Aldehyde dehydrogenase (ALDH) proteins are a superfamily of 19 enzymes that are found to protect cells from cytotoxic and carcinogenic aldehydes in various organelles including the nucleus, cytosol, mitochondria, and endoplasmic reticulum [31, 32]. The ALDH enzymes also play a crucial role in epithelial homeostasis. Thus, deregulation of these enzymes is linked to multiple cancers, such as breast, prostate, lung and colon cancers [33–37]. In this study, we aimed to investigate if the expression of ALDH isozymes varied among different histological subtypes of ovarian tumor tissues. Our focus was on ALDH class 1, 3 and 7 isozymes, all of which have been reported to be associated with cancer development [28, 33–35]. Moreover, as a preliminary approach to explore the potential association between these ALDH isozymes and cancer cells in stem-like state, we have also investigated the expression levels of these ALDH isozymes in ovarian cancer cells growing as spheres in serum-free medium.

Results and discussion

Type-specific expression of ALDH isozymes

We first employed immunohistochemistry to investigate the expression levels of the different ALDH isozymes in archived ovarian tissues using isozyme-specific antibodies. Antibodies specific to ALDH1A1, ALDH1A3, ALDH3A1, ALDH3A2, ALDH3B1 and ALDH7A1 were used to stain a panel of healthy ovaries, benign, borderline, and invasive ovarian tumors. The clinicopathologic characteristics of the samples we used are shown in Additional file 1: Table S1. We found significantly elevated expression of ALDH1A3 (Table 1), ALDH3A2 (Table 2), and ALDH7A1 (Table 3) in the epithelial ovarian tumor tissues than healthy ovarian epithelia. Multiple comparisons using Dunnett’s method showed that there were significant differences between normal ovaries and invasive tumors for ALDH3A2 and ALDH7A1, whereas ALDH1A3 staining showed significant differences between normal ovaries and both borderline and invasive tumors. There was no significant difference in the staining for ALDH isozymes in normal, benign, and tumor stromal components. There was no positive staining from the ALDH3A1 antibody, and the staining of ALDH3B1 did not show significant differences between healthy ovaries and ovarian tumor tissues (data not shown). Differences between histologic tumor subtypes for ALDH1A3, ALDH3A2, and ALDH7A1 were not significant, partly due to the small and unbalanced sample sizes in these experiments and subtle changes may not be detected. Representative figures of the immunohistochemical staining of ALDH1A3, ALDH3A2, and ALDH7A1 antibodies to different categories of tissues are shown in Figure 1.

Table 1 ALDH1A3 immunohistochemical staining according to diagnosis and histological characteristics of the epithelial and stromal components of ovarian samples
Full size table
Table 2 ALDH3A2 immunohistochemical staining according to diagnosis and histological characteristics of the epithelial and stromal components of ovarian samples
Full size table
Table 3 ALDH7A1 immunohistochemical staining according to diagnosis and histological characteristics of the epithelial and stromal components of ovarian samples
Full size table
Figure 1
figure 1

Expression of ALDH1A3, ALDH3A2, and ALDH7A1 in archived ovarian tissues. Representative figures of immunohistochemical staining of A. ALDH1A3; B. ALDH3A2; and C. ALDH7A1 in ovarian tissues. BOT, borderline tumors. Scale bar represents 50 μm.

Full size image

Initial immunohistochemical staining of the stem cell marker ALDH1A1 in ovarian tissues yielded particularly interesting patterns not seen with the other ALDH isozymes described above. We have therefore added more cases to confirm the initial findings and the final results are presented here. The staining was not significantly different between healthy ovaries and ovarian tumors (Table 4). However, we saw significant differences in the expression between the different histologic subtypes of ovarian tumors. The endometrioid and mucinous tumors had significant overexpression in the epithelial tumor cells, whereas serous and clear cell epithelial tumor tissues showed very low ALDH1A1 expression (P < 0.001). Dunnett’s multiple comparisons showed significantly lower expression of ALDH1A1 in clear cell tumors than in mucinous and endometrioid tumor types. While the epithelial clear cell tumor cells showed lower ALDH1A1 expression than the other tumor types, ALDH1A1 expression was higher in the clear cell stromal fibroblasts than in the other stromal tumor types (P = 0.02). Figure 2 shows representative images of ALDH1A1 in the different ovarian tissues and in particular the absence of ALDH1A1 staining in the tumors but increased staining in the stromal part of eighteen clear cell ovarian tumors.

Table 4 ALDH1A1 immunohistochemical staining according to diagnosis and histological characteristics of the epithelial and stromal components of ovarian samples
Full size table
Figure 2
figure 2

Expression of ALDH1A1 in archived ovarian tissues. A. Representative figures of immunohistochemical staining of ALDH1A1 in normal ovaries and different subtypes of ovarian tumor tissues. B. Extended panel of fifteen clear cell ovarian tumor samples stained with ALDH1A1 to demonstrate the predominant staining in the stromal fibroblasts. Scale bar represents 50 μm.

Full size image

To evaluate the tumor type-specific expression of ALDH isozymes, we also performed quantitative reverse transcription-polymerase chain reaction (qRT-PCR) to measure the mRNA expression levels of ALDH1A1, ALDH1A3, ALDH1B1, ALDH3A1, ALDH3A2, ALDH3B1 and ALDH7A1 in tumor cells microdissected from a panel of frozen tumor tissues. Boxplot in Figure 3 shows that, in general, the RNA levels of all ALDH isozymes were significantly higher in both endometrioid and mucinous tumors than in clear cell and serous tumors. The RNA expression patterns resemble the protein expression of ALDH1A1, which shows higher expression in the endometrioid and mucinous tumors compared with clear cell and serous tumors. However, as ALDH1A3, ALDH3A2 and ALDH7A1 isozymes did not show particularly significant tumor-type specific protein expression, there might be other post-transcriptional mechanisms that regulate the different ALDH isoenzyme protein levels in the tumor tissues.

Figure 3
figure 3

Boxplot to show the quantitative reverse transcription-polymerase chain reaction results of ALDH isozymes in the ovarian cancer cells present in different subtypes of ovarian tumor tissues. RNA was extracted from tumor cells microdissected from 19 high-grade serous, 5 mucinous, 6 clear cell, and 5 endometrioid tumor tissues and quantitative reverse transcription-polymerase chain reactions were performed. Each box covers the middle 50% of ranks of ordered expression of the corresponding ALDH isozyme, and the horizontal line within a box marks the median. The lines extending from a box reach to the minimum and maximum data values, except the presence of outliers that are marked with an asterisk. Kruskal-Wallis P-values are presented to indicate whether the median ranks of the ALDH isozymes are significantly different among the four histologic groups. C, clear cell ovarian tumors; E, endometrioid ovarian tumors; M, mucinous ovarian tumors; S, serous ovarian tumors.

Full size image

Western blot analysis was performed to evaluate the expression of the ALDH isozymes in ovarian cell lines. As illustrated in Figure 4A, most of ALDH isozymes except ALDH1A3 showed higher levels in the ovarian cancer cell lines relative to the normal human ovarian surface epithelial (HOSE) cell lines. Only OVCA433 and MCAS showed higher level of ALDH1A3 expression. Like the immunohistochemical staining results in tumor tissues, ALDH1A1 showed a strong tumor type-dependence in expression pattern. While endometrioid and mucinous cancer cell lines showed high protein expression, the serous and clear cell cell lines showed little, if any, detectable protein expression. It is noted that as we have only one endometrioid cancer cell line, the result may not reflect broadly this histologic subtype.

Figure 4
figure 4

ALDH isozyme protein expression in ovarian cell lines. A. Western blot analysis was used to compare the expression of different ALDH isozymes in normal human ovarian surface epithelial (HOSE) cell lines with cancer cell lines of different subtypes, i.e., serous, endometrioid (ENDO), mucinous (MUC) and clear cell (CC). The cell lines were (starting from left): HOSE1-15, HOSE7, HOSE2170, SKOV3, OVCA432, OVCA433, TOV112D, MCAS, RMUGL, RMG1, and OVCA810. Molecular weights are shown on the right. β-actin served as loading control. B. Western blot analysis was used to compare the levels of ALDH1A1 and ALDH7A1 in ovarian cancer cell lines growing as a monolayer (2D) or sphere culture. The cell lines were (starting from left): RMG1, MCAS, RMUGL, OVCA432, SKOV3, and TOV112D. β-actin served as loading control.

Full size image

Expression and activity of ALDH1A1 in ovarian cancer cells growing as sphere suspension

The immunohistochemistry and Western blot results led us to further investigate ALDH1A1 as a potential stem cell marker by evaluating the expression of this protein in ovarian cancer spheres. The sphere assay, which demonstrates the capability of stem-like cells to form spheres when cultured in serum-free medium with growth factors [19], has been widely adopted as an in vitro model to study CSCs for human cancers [20–24]. We performed sphere assays with ovarian epithelial cancer cells by growing them as sphere suspensions in standard serum-free medium. We used Western blot analysis to compare the expression of ALDH1A1 and ALDH7A1 in ovarian cancer cells growing as a sphere suspension versus growing as monolayer in complete medium. ALDH7A1 protein expression showed a slight increase in the spheres formed by endometrioid and mucinous cancer cell lines than in the monolayer cells. For ALDH1A1 expression, the two mucinous cancer lines showed increase in expression in sphere cultures than monolayer cultures. The endometrioid cancer cell line expressed very high level of ALDH1A1 both in sphere and monolayer cultures. The clear cell cancer cell line showed some increase from the monolayer cells to the sphere cells. In contrast, serous cancer cell lines did not show any increase in ALDH1A1 expression in the spheres (Figure 4B).

In addition to the protein expression analyses, the Aldefluor® assay was used to measure specific ALDH activity in the monolayer and sphere cancer cells. Representative results, shown in Figure 5, are parallel the results obtained by Western blot analysis. The mucinous cancer cells showed robust increased activity in the sphere cells. Endometrioid cells showed strong ALDH activity under both monolayer and sphere conditions. The clear cell cancer cells showed a small increase in activity in the sphere cells, while the serous cancer cells retrieved from an ascites sample did not show any ALDH activity under either culture conditions. Although other studies have suggested that the Aldefluor® assay also measures the activity of some other ALDH isoforms such as ALDH1A3 [34, 36], our Aldefluor® assay results closely reflect the ALDH1A1 activity in the cancer cells.

Figure 5
figure 5

ALDH activity in cancer cells under different culture growing conditions. Aldefluor® was used to estimate ALDH enzyme activity in cells grown as a monolayer culture or in a sphere culture. Flow cytometric graphs show the fluorescence intensity of reacted ALDH substrate in the absence and presence of diethylaminobenzaldehyde, a specific ALDH inhibitor, for A: endometrioid cancer cell line TOV112D; B: Clear cell cancer cell line RMG1; C. Mucinous cancer cell line RMUGL, and D: high-grade serous cancer cells isolated from clinical ascites. Gated regions indicated ALDH+ cells.

Full size image

Implications of ALDH isozyme expression in ovarian cancer

Ovarian cancer is heterogeneous in nature, comprising tumors with different histologic subtypes and developmental stages [4, 5]. The cancer stem cell hypothesis proposes the presence of distinct tumor-propagating cell populations that are responsible for self-renewal and multilineage differentiation into different types of tumors [12]. ALDH1A1, and recently ALDH1A3, have been described as valuable stem cell markers in different human tumors and in vitro systems [26, 28, 34, 36]. ALDH1A1 positivity has also been associated with chemoresistance in ovarian cancer [38, 39]. The present study revealed ALDH1A1 to be expressed predominantly in mucinous and endometrioid epithelial cancer cells, but not in most of the serous and clear cell cancer cells. Instead, high ALDH1A1 expression was found in the stromal fibroblasts in the latter two types of ovarian cancer. In a previous study, higher levels of ALDH1A1 expression were found in mammary stromal cells than in epithelial cells [40]. Although it might be argued that the stromal ALDH1A1 staining arose from cancer cells with mesenchymal features, as suggested in a proteomic profiling study of a panel of lung adenocarcinoma cell lines [37], the predominant stromal staining observed in our study is consistent with ALDH1A1 expression being distinctly lineage-specific in different histologic types of ovarian tumors. It is well documented that expression and activity levels of ALDH isozymes depend on cancer type and/or cell of origin [36, 40]. Penumatsa et al... reported recently reduced expression of ALDH1A1 in serous ovarian tumors [41] and Li et al... reported that ALDH1A1 expression was repressed by histone-lysine N-methyltransferase EZH2 in high-grade serous ovarian carcinomas [42]. It will be of great interest to delineate the role of ALDH1A1 in lineage differentiation and its regulation in ovarian cancer.

Moreover, it is of equal importance to evaluate the functional roles of elevated ALDH1A3, ALDH3A2 and ALDH7A1 isozymes in ovarian cancer. The ALDH1A3 isoform has been reported to be a novel CSC marker with potential clinical prognostic application in breast cancer [34]. ALDH7A1 was also found to be involved in prostate cancer bone metastasis [33]. Further analysis of these novel ALDH isozymes may have significant diagnostic and prognostic implications in ovarian cancer. A more thorough understanding of the molecular mechanisms underlying their activities in the development of ovarian cancer may pave a way for more effective treatment of ovarian cancer.

Conclusions

We have performed an analysis of the expression of different ALDH isozymes in ovarian tumors and cancer cell lines. ALDH1A1 shows a tumor type-specific expression pattern that may indicate a role in lineage-specific differentiation mechanisms during histopathologic development of ovarian tumors. Further studies are required to elucidate the roles ALDH1A1 and other elevated ALDH isozymes play in ovarian pathogenesis.

Methods

Ovarian clinical samples and ovarian cell lines

Archived formalin-fixed, paraffin-embedded normal, benign, and cancerous ovarian tissues were collected from women undergoing surgery at the Brigham and Women's Hospital for a diagnosis of primary ovarian cancer or from control subjects who were undergoing the procedure of hysterectomy or oophorectomy for benign gynecologic diseases. Additional 15 cases of clear cell ovarian carcinomas were from Department of Obstetrics and Gynecology, Osaka City General Hospital, Japan. All patient-derived biologic specimens were collected and archived under protocols approved by the Human Subjects Committee of the Brigham and Women's Hospital, USA, and Osaka City General Hospital, Japan. Samples were collected with written informed consent from patients and confirmed histologically by gynecologic pathologists. Cases were staged according to International Federation of Gynecology and Obstetrics (FIGO) system. The normal human ovarian surface epithelial (HOSE) cells and ovarian cancer cell lines have been described previously [43]. Normal HOSE cells were collected by scraping the ovarian surface of the control subjects who were undergoing hysterectomy or oophorectomy for benign diseases. Long-term HOSE cells were immortalized by a HPV E6/E7 gene introduction. All ovarian cell lines were maintained in a mixture of medium 199 and MCDB105 medium (1:1) (Sigma, St. Louis, MO) supplemented with 10% fetal calf serum (Invitrogen, Carlsbad, CA).

Sphere assay

Standard sphere assay was performed according to Dontu et al… with minor changes [19]. Single cancer cells were resuspended in NeuroBasal-A Medium (Invitrogen) supplemented with B27 (Invitrogen), 20 ng/ml EGF and 20 ng/ml bFGF (Invitrogen), and 4 μg/ml heparin (Sigma-Aldrich), in ultra-low attachment culture plates (Fisher Scientific, Pittsburgh, PA). Cells were cultured for 1 week to form spheres before harvesting.

Immunohistochemistry

Paraffin-embedded ovarian tissue blocks were sectioned at a thickness of 7 μm, mounted on Superfrost Plus microscopic slides (Fisher Scientific, Pittsburgh, PA), and dried at 50 °C for at least 3 hours. Deparaffinization was performed using xylene and rehydration with a graded ethanol series. Antigen retrieval was performed in a pressure-cooker in antigen-unmasking solution (Vector Laboratories, Burlingame, CA) for 10 min. Endogenous peroxidases were blocked using 0.3% H202 in methanol for 20 min. The sections were then blocked with normal blocking serum for 20 min and subsequently incubated overnight with ALDH isozyme-specific antibodies. Antibodies specific to ALDH1A1, ALDH1A3, ALDH3A1, ALDH3A2, and ALDH3B1 have been described [44, 45]. Antibody specific to ALDH7A1 was purchased from Epitomics, Inc (Burlingame, CA). After incubations with primary and secondary antibodies (Vector Laboratories, Burlingame, CA), the reaction was visualized using Vectastain Elite ABC Kit with diaminobenzidine chromogen as a substrate (Vector Laboratories, Burlingame, CA). Sections were counterstained lightly with hematoxylin and mounted in Permount® (Fisher Scientific, Pittsburgh, PA). The staining was quantified with a semi-quantitative scoring system. The weighted score was obtained by multiplying the staining intensity score ranging from 3+ (strongest positive) to 0 (no evidence of stain) and the score for the percentage of positive cells ranging from 3+ (100% stained) to 0 (no cells stained). Two trained observers scored the slides independently and the scores were compared for discrepancies and averaged.

RNA isolation and quantitative reverse transcription-polymerase chain reaction

Microdissection of ovarian tumor cells from frozen tissues (19 high-grade serous, 5 mucinous, 6 clear cell, and 5 endometrioid) was performed using a MD LMD laser microdissecting microscope (Leica Microsystems, Buffalo Grove, IL). Note that these samples were not the same samples used in the immunohistochemical study. Total RNA was isolated using RNeasy Micro Kit (Qiagen, Valencia, CA). Reverse transcription and real-time PCRs were performed using High Capacity cDNA Reverse Transcription Kit and SYBR® Green PCR kit, respectively (Invitrogen Life Technologies,Carlsbad, CA). The primers for different ALDH isozymes are listed in Table 5. To calculate the relative expression for each gene, the 2−ΔΔCT method was used to relate the CT values of ALDH expression in each sample to the CT values for the housekeeping gene cyclophilin A [46].

Table 5 Primer sequences used in the quantitative reverse transcription-polymerase chain reactions
Full size table

Western blot analysis

Total cell lysates were prepared from growing cells using RIPA buffer (50 mM Tris–HCl pH 8, 150 mM NaCl, 1% NP-40, 0.5% sodium deoxycholate and 0.1% SDS) supplemented with PhosStop phosphatase inhibitor cocktail and complete protease inhibitor cocktail (Roche Applied Science, Indianapolis, IN) and protein concentration was measured with a MicroBCA protein assay kit (ThermoScientific, Rockford, IL). Ten μg of total cell lysates were resolved by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to a polyvinylidene fluoride (PVDF) membrane using a SEMI-DRY Transfer cell (Bio-Rad Laboratories, Hercules, CA). After blocking with 5% nonfat dry milk in 1X TBST buffer (10 mM Tris–HCl pH 7.5, 150 mM NaCl, 0.05% Tween-20) at room temperature for 1 hr, the membrane was incubated with the primary antibody at 4°C overnight, then washed at room temperature with 1X TBST buffer. The bound antibody was detected by the secondary antibodies conjugated with horseradish peroxidase (Pierce Biotechnology, Rockford, IL) and a Supersignal west pico kit (Pierce Biotechnology, Rockford, IL).

Aldefluor® assay

ALDH activity was detected using the Aldefluor® assay kit (STEMCELL Technologies, Vancouver, BC, Canada) as described by the manufacturer. Briefly, dissociated single cells from cell lines or spheres were resuspended in Aldefluor® assay buffer containing an ALDH substrate, bodipy-aminoacetaldehyde (BAAA), at 7.5 μM, and incubated for 1 hr at 37°C. An identical reaction was also performed in the presence of 15 mM diethylaminobenzaldehyde (DEAB), an ALDH-specific inhibitor. Fluorescence intensity of the stained cells was analyzed using an Accuri C6 Flow Cytometer (BD Accuri Cytometers, Ann Arbor, MI). The reaction with DEAB was used to define the baseline for the assay, i.e., fluorescence not associated with ALDH activity. ALDH activity of a sample was determined based on the fluorescence intensity beyond the threshold defined by the reaction with DEAB.

Statistical Analysis

All analyses were performed using MINITAB statistical software (Minitab, State College, PA). ANOVA was used to compare the mean IHC scores among different diagnostic and histologic groups. If the equal population variances assumption was not met, the non-parametric Kruskal-Wallis test was performed to compare the results obtained from ANOVA. When there was a statistically significant difference among the groups, multiple comparisons with a control group (Healthy group for Diagnosis and Clear Cell group for Histology) were performed using the Dunnett’s method. A difference was deemed significant when it reached the 5% level, i.e., P ≤ 0.05. As the normality assumption for the qRT-PCR data was not met, the Kruskal-Wallis test was used to analyze the ranked qRT-PCR data according to histologic subtypes, and the results are presented as a boxplot.

References

  1. Altekruse S, Kosary C, Krapcho M, Neyman N, Aminou R, Waldron W, Ruhl J, Howlader N, Tatalovich Z, Cho H, et al: SEER Cancer Statistics Review, 1975–2007. 2010, Bethesda, MD, USA :National Cancer Institue

    Google Scholar 

  2. Jemal A, Siegel R, Xu J, Ward E: Cancer statistics, 2010. CA Cancer J Clin. 2010, 60 (5): 277-300. 10.3322/caac.20073.

    Article  PubMed  Google Scholar 

  3. Bast RC, Boyer CM, Olt GJ, Berchuck A, Soper JT, Clarke-Pearson D, Xu FJ, Ramakrishnan S: Identification of marker for early detection of epithelial ovarian cancer. 1990, London, England: Chapman and Hall Medical

    Google Scholar 

  4. Serov SF, Scullt RE: Histological typing of ovarian tumors. 1993, Geneva: World Health Organization

    Google Scholar 

  5. Thor AD, Young RH, Clement PB: Pathology of the fallopian tube, broad ligament, peritoneum, and pelvic soft tissues. Hum Pathol. 1991, 22 (9): 856-867. 10.1016/0046-8177(91)90174-N.

    Article  CAS  PubMed  Google Scholar 

  6. McCluggage WG, Wilkinson N: Metastatic neoplasms involving the ovary: a review with an emphasis on morphological and immunohistochemical features. Histopathology. 2005, 47 (3): 231-247. 10.1111/j.1365-2559.2005.02194.x.

    Article  CAS  PubMed  Google Scholar 

  7. Cambell IG, Morland S, Hitchcock A: Endometriosis and the relationship with ovarian cancer., vol. 5. 1998, Oxford: ISIS Medical Media Ltd

    Google Scholar 

  8. DePriest PD, Banks ER, Powell DE, van Nagell JR, Gallion HH, Puls LE, Hunter JE, Kryscio RJ, Royalty MB: Endometrioid carcinoma of the ovary and endometriosis: the association in postmenopausal women. Gynecol Oncol. 1992, 47 (1): 71-75. 10.1016/0090-8258(92)90079-X.

    Article  CAS  PubMed  Google Scholar 

  9. Goff BA, Sainz de la Cuesta R, Muntz HG, Fleischhacker D, Ek M, Rice LW, Nikrui N, Tamimi HK, Cain JM, Greer BE, et al: Clear cell carcinoma of the ovary: a distinct histologic type with poor prognosis and resistance to platinum-based chemotherapy in stage III disease. Gynecol Oncol. 1996, 60 (3): 412-417. 10.1006/gyno.1996.0065.

    Article  CAS  PubMed  Google Scholar 

  10. Recio FO, Piver MS, Hempling RE, Driscoll DL: Lack of improved survival plus increase in thromboembolic complications in patients with clear cell carcinoma of the ovary treated with platinum versus nonplatinum-based chemotherapy. Cancer. 1996, 78 (10): 2157-2163. 10.1002/(SICI)1097-0142(19961115)78:10<2157::AID-CNCR17>3.0.CO;2-Y.

    Article  CAS  PubMed  Google Scholar 

  11. Itamochi H, Kigawa J, Sugiyama T, Kikuchi Y, Suzuki M, Terakawa N: Low proliferation activity may be associated with chemoresistance in clear cell carcinoma of the ovary. Obstet Gynecol. 2002, 100 (2): 281-287. 10.1016/S0029-7844(02)02040-9.

    PubMed  Google Scholar 

  12. Visvader JE, Lindeman GJ: Cancer stem cells in solid tumours: accumulating evidence and unresolved questions. Nat Rev Cancer. 2008, 8 (10): 755-768. 10.1038/nrc2499.

    Article  CAS  PubMed  Google Scholar 

  13. Hermann PC, Huber SL, Herrler T, Aicher A, Ellwart JW, Guba M, Bruns CJ, Heeschen C: Distinct populations of cancer stem cells determine tumor growth and metastatic activity in human pancreatic cancer. Cell Stem Cell. 2007, 1 (3): 313-323. 10.1016/j.stem.2007.06.002.

    Article  CAS  PubMed  Google Scholar 

  14. Dalerba P, Dylla SJ, Park IK, Liu R, Wang X, Cho RW, Hoey T, Gurney A, Huang EH, Simeone DM, et al: Phenotypic characterization of human colorectal cancer stem cells. Proc Natl Acad Sci U S A. 2007, 104 (24): 10158-10163. 10.1073/pnas.0703478104.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Wright MH, Calcagno AM, Salcido CD, Carlson MD, Ambudkar SV, Varticovski L: Brca1 breast tumors contain distinct CD44+/CD24- and CD133+ cells with cancer stem cell characteristics. Breast Cancer Res. 2008, 10 (1): R10-10.1186/bcr1855.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Mani SA, Guo W, Liao MJ, Eaton EN, Ayyanan A, Zhou AY, Brooks M, Reinhard F, Zhang CC, Shipitsin M, et al: The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell. 2008, 133 (4): 704-715. 10.1016/j.cell.2008.03.027.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Gupta PB, Fillmore CM, Jiang G, Shapira SD, Tao K, Kuperwasser C, Lander ES: Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells. Cell. 2011, 146 (4): 633-644. 10.1016/j.cell.2011.07.026.

    Article  CAS  PubMed  Google Scholar 

  18. Chaffer CL, Brueckmann I, Scheel C, Kaestli AJ, Wiggins PA, Rodrigues LO, Brooks M, Reinhardt F, Su Y, Polyak K, et al: Normal and neoplastic nonstem cells can spontaneously convert to a stem-like state. Proc Natl Acad Sci U S A. 2011, 108 (19): 7950-7955. 10.1073/pnas.1102454108.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Dontu G, Abdallah WM, Foley JM, Jackson KW, Clarke MF, Kawamura MJ, Wicha MS: In vitro propagation and transcriptional profiling of human mammary stem/progenitor cells. Genes Dev. 2003, 17 (10): 1253-1270. 10.1101/gad.1061803.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Charafe-Jauffret E, Ginestier C, Iovino F, Wicinski J, Cervera N, Finetti P, Hur MH, Diebel ME, Monville F, Dutcher J, et al: Breast cancer cell lines contain functional cancer stem cells with metastatic capacity and a distinct molecular signature. Cancer Res. 2009, 69 (4): 1302-1313. 10.1158/0008-5472.CAN-08-2741.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Bortolomai I, Canevari S, Facetti I, De Cecco L, Castellano G, Zacchetti A, Alison MR, Miotti S: Tumor initiating cells: Development and critical characterization of a model derived from the A431 carcinoma cell line forming spheres in suspension. Cell Cycle. 2010, 9 (6): 1194-1206. 10.4161/cc.9.6.11108.

    Article  CAS  PubMed  Google Scholar 

  22. Mulholland DJ, Xin L, Morim A, Lawson D, Witte O, Wu H: Lin-Sca-1 + CD49fhigh stem/progenitors are tumor-initiating cells in the Pten-null prostate cancer model. Cancer Res. 2009, 69 (22): 8555-8562. 10.1158/0008-5472.CAN-08-4673.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Lukacs RU, Lawson DA, Xin L, Zong Y, Garraway I, Goldstein AS, Memarzadeh S, Witte ON: Epithelial stem cells of the prostate and their role in cancer progression. Cold Spring Harb Symp Quant Biol. 2008, 73: 491-502. 10.1101/sqb.2008.73.012.

    Article  CAS  PubMed  Google Scholar 

  24. Alley MC, Scudiero DA, Monks A, Hursey ML, Czerwinski MJ, Fine DL, Abbott BJ, Mayo JG, Shoemaker RH, Boyd MR: Feasibility of drug screening with panels of human tumor cell lines using a microculture tetrazolium assay. Cancer Research. 1988, 48 (3): 589-601.

    CAS  PubMed  Google Scholar 

  25. Carpentino JE, Hynes MJ, Appelman HD, Zheng T, Steindler DA, Scott EW, Huang EH: Aldehyde dehydrogenase-expressing colon stem cells contribute to tumorigenesis in the transition from colitis to cancer. Cancer Res. 2009, 69 (20): 8208-8215. 10.1158/0008-5472.CAN-09-1132.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Charafe-Jauffret E, Ginestier C, Iovino F, Tarpin C, Diebel M, Esterni B, Houvenaeghel G, Extra JM, Bertucci F, Jacquemier J, et al: Aldehyde dehydrogenase 1-positive cancer stem cells mediate metastasis and poor clinical outcome in inflammatory breast cancer. Clin Cancer Res. 2010, 16 (1): 45-55. 10.1158/1078-0432.CCR-09-1630.

    Article  CAS  PubMed  Google Scholar 

  27. Deng S, Yang X, Lassus H, Liang S, Kaur S, Ye Q, Li C, Wang LP, Roby KF, Orsulic S, et al: Distinct expression levels and patterns of stem cell marker, aldehyde dehydrogenase isoform 1 (ALDH1), in human epithelial cancers. PLoS One. 2010, 5 (4): e10277-10.1371/journal.pone.0010277.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Colombo F, Baldan F, Mazzucchelli S, Martin-Padura I, Marighetti P, Cattaneo A, Foglieni B, Spreafico M, Guerneri S, Baccarin M, et al: Evidence of distinct tumour-propagating cell populations with different properties in primary human hepatocellular carcinoma. PLoS One. 2011, 6 (6): e21369-10.1371/journal.pone.0021369.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. van den Hoogen C, van der Horst G, Cheung H, Buijs JT, Lippitt JM, Guzman-Ramirez N, Hamdy FC, Eaton CL, Thalmann GN, Cecchini MG, et al: High aldehyde dehydrogenase activity identifies tumor-initiating and metastasis-initiating cells in human prostate cancer. Cancer Res. 2010, 70 (12): 5163-5173. 10.1158/0008-5472.CAN-09-3806.

    Article  CAS  PubMed  Google Scholar 

  30. Buijs JT, van der Horst G, van den Hoogen C, Cheung H, de Rooij B, Kroon J, Petersen M, van Overveld PG, Pelger RC, van der Pluijm G: The BMP2/7 heterodimer inhibits the human breast cancer stem cell subpopulation and bone metastases formation. Oncogene. 2011

    Google Scholar 

  31. Marchitti SA, Brocker C, Stagos D, Vasiliou V: Non-P450 aldehyde oxidizing enzymes: the aldehyde dehydrogenase superfamily. Expert Opin Drug Metab Toxicol. 2008, 4 (6): 697-720. 10.1517/17425255.4.6.697.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Jackson B, Brocker C, Thompson DC, Black W, Vasiliou K, Nebert DW, Vasiliou V: Update on the aldehyde dehydrogenase gene (ALDH) superfamily. Hum Genomics. 2011, 5 (4): 283-303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. van den Hoogen C, van der Horst G, Cheung H, Buijs JT, Pelger RC, van der Pluijm G: The aldehyde dehydrogenase enzyme 7A1 is functionally involved in prostate cancer bone metastasis. Clin Exp Metastasis. 2011, 28 (7): 615-625. 10.1007/s10585-011-9395-7.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Marcato P, Dean CA, Pan D, Araslanova R, Gillis M, Joshi M, Helyer L, Pan L, Leidal A, Gujar S, et al: Aldehyde dehydrogenase activity of breast cancer stem cells is primarily due to isoform ALDH1A3 and its expression is predictive of metastasis. Stem Cells. 2011, 29 (1): 32-45. 10.1002/stem.563.

    Article  CAS  PubMed  Google Scholar 

  35. Marchitti SA, Orlicky DJ, Brocker C, Vasiliou V: Aldehyde dehydrogenase 3B1 (ALDH3B1): immunohistochemical tissue distribution and cellular-specific localization in normal and cancerous human tissues. J Histochem Cytochem. 2010, 58 (9): 765-783. 10.1369/jhc.2010.955773.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Marcato P, Dean CA, Giacomantonio CA, Lee PW: Aldehyde dehydrogenase: its role as a cancer stem cell marker comes down to the specific isoform. Cell Cycle. 2011, 10 (9): 1378-1384. 10.4161/cc.10.9.15486.

    Article  CAS  PubMed  Google Scholar 

  37. Zhang Q, Taguchi A, Schliekelman M, Wong CH, Chin A, Kuick R, Misek DE, Hanash S: Comprehensive proteomic profiling of aldehyde dehydrogenases in lung adenocarcinoma cell lines. Int J Proteomics. 2011, 2011: 145010-

    Article  PubMed  PubMed Central  Google Scholar 

  38. Landen CN, Goodman B, Katre AA, Steg AD, Nick AM, Stone RL, Miller LD, Mejia PV, Jennings NB, Gershenson DM, et al: Targeting aldehyde dehydrogenase cancer stem cells in ovarian cancer. Mol Cancer Ther. 2010, 12: 3186-3199.

    Article  Google Scholar 

  39. Wang YC, Yo YT, Lee HY, Liao YP, Chao TK, Su PH, Lai HC: ALDH1-Bright Epithelial Ovarian Cancer Cells Are Associated with CD44 Expression, Drug Resistance, and Poor Clinical Outcome. Am J Pathol. 2012, 180 (3): 1159-1169. 10.1016/j.ajpath.2011.11.015.

    Article  PubMed  Google Scholar 

  40. Eirew P, Kannan N, Knapp DJ, Vaillant F, Emerman JT, Lindeman GJ, Visvader JE, Eaves CJ: Aldehyde Dehydrogenase Activity is a Biomarker of Primitive Normal Human Mammary Luminal Cells. Stem Cells. 2011, 30 (2): 344-348.

    Article  Google Scholar 

  41. Penumatsa K, Edassery SL, Barua A, Bradaric MJ, Luborsky JL: Differential expression of aldehyde dehydrogenase 1a1 (ALDH1) in normal ovary and serous ovarian tumors. J Ovarian Res. 2010, 3: 28-10.1186/1757-2215-3-28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Li H, Bitler BG, Vathipadiekal V, Maradeo ME, Slifker M, Creasy CL, Tummino PJ, Cairns P, Birrer MJ, Zhang R: ALDH1A1 Is a Novel EZH2 Target Gene in Epithelial Ovarian Cancer Identified by Genome-Wide Approaches. Cancer Prev Res (Phila). 2011, 5 (3): 484-491.

    Article  Google Scholar 

  43. Huang KC, Park DC, Ng SK, Lee JY, Ni X, Ng WC, Bandera CA, Welch WR, Berkowitz RS, Mok SC, et al: Selenium binding protein 1 in ovarian cancer. Int J Cancer. 2006, 118 (10): 2433-2440. 10.1002/ijc.21671.

    Article  CAS  PubMed  Google Scholar 

  44. Manzer R, Qamar L, Estey T, Pappa A, Petersen DR, Vasiliou V: Molecular cloning and baculovirus expression of the rabbit corneal aldehyde dehydrogenase (ALDH1A1) cDNA. DNA Cell Biol. 2003, 22 (5): 329-338. 10.1089/104454903322216671.

    Article  CAS  PubMed  Google Scholar 

  45. Lassen N, Bateman JB, Estey T, Kuszak JR, Nees DW, Piatigorsky J, Duester G, Day BJ, Huang J, Hines LM, et al: Multiple and additive functions of ALDH3A1 and ALDH1A1: cataract phenotype and ocular oxidative damage in Aldh3a1(−/−)/Aldh1a1(−/−) knock-out mice. J Biol Chem. 2007, 282 (35): 25668-25676. 10.1074/jbc.M702076200.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Livak KJ, Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Methods. 2001, 25 (4): 402-408. 10.1006/meth.2001.1262.

    Article  CAS  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

We acknowledge the support of the Robert and Deborah First Fund, the Sperling Family Fund Foundation, Ruth N. White Gynecologic Oncology Research Fund, Women’s Cancer Program and Gillette Center for Women’s Cancer from Dana-Farber Cancer Institute, Ovarian Cancer Research Foundation, Adler Foundation, Inc., and the Friends of Dana Farber Cancer Institute to The Laboratory of Gynecologic Oncology.

Author information

Authors and Affiliations

  1. Department of Obstetrics/Gynecology and Reproductive Biology, Brigham and Women’s Hospital, Boston, MA, 02115, USA

    Yu-Ting Saw, Junzheng Yang, Shubai Liu, Margit Singh, Ross S Berkowitz & Shu-Wing Ng

  2. School of Medicine, Griffith Health Institute, Griffith University, Meadowbrook, QLD, 4131, Australia

    Shu-Kay Ng

  3. Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO, 80045, USA

    Surendra Singh, David Thompson & Vasilis Vasiliou

  4. Department of Pathology, Brigham and Women’s Hospital, Boston, MA, 02115, USA

    William R Welch

  5. Department of Obstetrics and Gynecology, School of Medicine, Keio University, Tokyo, 160-8582, Japan

    Hiroshi Tsuda

  6. School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China

    Wing-Ping Fong

Authors
  1. Yu-Ting Saw
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Junzheng Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shu-Kay Ng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shubai Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Surendra Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Margit Singh
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. William R Welch
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Hiroshi Tsuda
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Wing-Ping Fong
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. David Thompson
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Vasilis Vasiliou
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Ross S Berkowitz
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Shu-Wing Ng
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shu-Wing Ng.

Additional information

Competing interests

The authors declare that they have no competing interests to disclose.

Authors’ contributions

Y-TS, MS carried out the immunohistochemistry. JY carried out Western blot analysis, RT-PCR and sphere cultures. SL performed Aldefluor® assays and analysis. SS participated in the RT-PCR. S-KN performed statistical analysis. Y-TS, DT, and S-KN helped draft the manuscript. HT, WRW, VV, and RSB contributed the samples and reagents and critically revised the manuscript. W-PF participated in the design of the study. S-WN conceived, participated in study design and coordination and wrote the manuscript. All authors read and approved the final manuscript.

Electronic supplementary material

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Saw, YT., Yang, J., Ng, SK. et al. Characterization of aldehyde dehydrogenase isozymes in ovarian cancer tissues and sphere cultures. BMC Cancer 12, 329 (2012). https://doi.org/10.1186/1471-2407-12-329

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2407-12-329

Keywords

BMC Cancer

ISSN: 1471-2407

Contact us