Literature DB >> 23412729

HtrA3 Is Downregulated in Cancer Cell Lines and Significantly Reduced in Primary Serous and Granulosa Cell Ovarian Tumors.

Harmeet Singh1, Ying Li, Peter J Fuller, Craig Harrison, Jyothsna Rao, Andrew N Stephens, Guiying Nie.   

Abstract

Objective. The high temperature requirement factor A3 (HtrA3) is a serine protease homologous to bacterial HtrA. Four human HtrAs have been identified. HtrA1 and HtrA3 share a high degree of domain organization and are downregulated in a number of cancers, suggesting a widespread loss of these proteases in cancer. This study examined how extensively the HtrA (HtrA1-3) proteins are downregulated in commonly used cancer cell lines and primary ovarian tumors.Methods. RT-PCR was applied to various cancer cell lines (n=17) derived from the ovary, endometrium, testes, breast, prostate, and colon, and different subtypes of primary ovarian tumors [granulosa cell tumors (n=19), mucinous cystadenocarcinomas (n=6), serous cystadenocarcinomas (n=8)] and normal ovary (n = 9). HtrA3 protein was localized by immunohistochemistry.Results. HtrA3 was extensively downregulated in the cancer cell lines examined including the granulosa cell tumor-derived cell lines. In primary ovarian tumors, the HtrA3 was significantly lower in serous cystadenocarcinoma and granulosa cell tumors. In contrast, HtrA1 and HtrA2 were expressed in all samples with no significant differences between the control and tumors. In normal postmenopausal ovary, HtrA3 protein was localized to lutenizing stromal cells and corpus albicans. In serous cystadenocarcinoma, HtrA3 protein was absent in the papillae but detected in the mesenchymal cyst wall.Conclusion. HtrA3 is more extensively downregulated than HtrA1-2 in cancer cell lines. HtrA3, but not HtrA1 or HtrA2, was decreased in primary ovarian serous cystadenocarcinoma and granulosa cell tumors. This study provides evidence that HtrA3 may be the most relevant HtrA associated with ovarian malignancy.

Entities:  

Keywords:  GCT; HtrA3; Serous cystadenocarcinoma.; ovarian cancer; protease

Year:  2013        PMID: 23412729      PMCID: PMC3572407          DOI: 10.7150/jca.5702

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Ovarian cancer undergoes progressive “dedifferentiation” from a well to a poorly differentiated tumor, then spreads to the pelvic and abdominal cavities before metastasizing to distant sites. It represents one of the most aggressive and heterogeneous cancer types in women and is a leading cause of gynaecological deaths 1, 2. The majority of ovarian cancer patients are diagnosed at late stages when conventional therapy is less effective, leading to high levels of morbidity and mortality 3. It has therefore been proposed that survival for this highly lethal disease could be improved by developing screening methods that detect the disease when it is confined to the ovary. A number of biomarkers have been investigated which are involved in the development and progression of ovarian cancer 4. Despite initial responses to surgery and chemotherapy, most of the affected women ultimately die from recurrence and development of chemoresistance 5. These highlight the need for identifying new prognostic markers to better determine patients with more aggressive disease, appropriate for treatment. The high temperature requirement (HtrA) family of serine proteases are well conserved from bacteria to humans. Bacterial HtrA is the most studied member of this family and is necessary for bacterial survival at elevated temperatures 6. It acts as a chaperone at normal temperature and protease at elevated temperatures 7, 8. To date, four human HtrAs have been identified: HtrA1 9, 10, HtrA2 11, 12, HtrA3 13, 14 and HtrA4 15, 16. All HtrA proteins share a highly conserved serine protease domain and one PDZ domain at the C-terminus 17. They appear to be involved in inflammation, apoptosis, ischemia/reperfusion, neurodegenerative conditions and neuromuscular disorders, and protection against stress conditions including heat shock [reviewed in 18]. HtrA proteins, especially HtrA1 and HtrA3, are reported to be downregulated in a number of cancers 19-21. Both HtrA1 and HtrA3 have been implicated as inhibitors of invasion and tumor suppression 22-24. HtrA1 is downregulated in SV40 transformed fibroblasts 9, 10. Several reports have indicated a tumor suppressive role for HtrA1 in breast, lymph node melanoma, ovarian and gastric cancers 21, 25-27. HtrA2 is a stress-activated protease that is up-regulated in mammalian cells in response to cellular stress 12. It is involved in apoptosis 28-30, a process which is impaired in cancer progression, and thus might play a role in malignancy. HtrA3 was initially identified as a pregnancy-related serine protease 31. Two variants of HtrA3 that arise from alternative mRNA splicing [long (HtrA3-L) and short (HtrA3-S)] have been identified 13. HtrA3-S is identical to the long form except it lacks the terminal PDZ domain 13. The HtrA3 isoforms may recognize different substrates and thus may have different functions. HtrA3 shares a high degree of sequence and domain organization with HtrA1 10, 13, suggesting similar functions. HtrA3 mRNA levels are reported to be downregulated with increasing grades of human endometrial, ovarian and lung cancer 20, 32, 33. The role of HtrA4, a newly identified member of the mammalian HtrA family, in cancer progression has not been reported. The aims of the present study were to evaluate and compare the extent of the downregulation of HtrA1, HtrA2, and HtrA3 (HtrA3-L and HtrA3-S) mRNA levels in a number of commonly used human cancer cell lines and different sub-types of primary ovarian tumor tissues [serous, mucinous and granulosa cell tumor (GCT)]. We further used immunohistochemistry to investigate HtrA3 protein localization in primary ovarian cancers.

Materials and Methods

Cell Lines and total RNA

Human granulosa cell tumor-derived cancer cells KGN and COV434, endometrial ECC1, HEC-1A, HEC-1B, Ishikawa, RL95-2 and AN3CA, testicular Ntera-2D, breast MCF-7 and MDA-231, prostate PC3, DU145 and LNCap, and colon SW480 and WIDR cell lines were cultured in medium supplemented with 10% fetal calf serum (SAFC Biosciences, KS), 2mM L-glutamine, 100µg/ml streptomycin/100 IU/ml penicillin (both from Gibco, Carlsbad, CA). All cell lines were cultured in DMEM, except for HEC-1A in McCoy's, and RL95-2 cells in DMEM supplemented with 10µg/ml bovine insulin (Actrapid, Novo Nordisk, Denmark). RNA was isolated using RNeasy Minikit (Qiagen GmbH, Hilden, Germany) and ribonuclease-free deoxyribonuclease-1 (DNA-free kit, Ambion, TX). Total RNA from human breast, prostate and testes was from Ambion (Life Technologies). Approval was obtained from the Human Research Ethics Committee at Monash Medical Centre, Melbourne to isolate total RNA from ovarian, colon and endometrial tissues.

Isolation of RNA from tissue specimens

Ovarian tumour tissues [granulosa cell tumors (n=19), mucinous cystadenocarcinomas (n=6) and serous cystadenocarcinomas (n=8)] were obtained from banked tissue samples which had previously been used in different studies 34-36. Normal ovarian tissues were obtained from nine premenopausal women who had undergone elective hysterectomy with oophorectomy for a range of conditions not associated with ovarian malignancy. Details of individual patients are provided in Table 1. The tissues were snap-frozen and then stored at -80 0C prior to RNA extraction. The Human Research and Ethics Committee of Monash Medical Centre approved this study protocol.
Table 1

Individual patient characteristics.

Sample numberSample TypePatient AgeMenopausal StatusStage
S1Serous56N/AUnstaged
S2Serous71Post3C
S3Serous71Post3C
S4Serous75Post3C
S6Serous68Post3C
S7Serous83Post3C
S8Serous51Post3C
S9Serous72Post3C
M2Mucinous87PostUnstaged
M5Mucinous65Post1
M9Mucinous84Post1
M10Mucinous64Post2
M12MucinousN/AN/AN/A
M13MucinousN/AN/AN/A
N7Normal49PreFibroid uterus
N8Normal33PreIntractable premenstrual tension
N9Normal30PreEndometrial carcinoma
N10Normal50PreEndometrial carcinoma
N11Normal48Preendometriosis/adenomyosis
N13Normal48PreN/A
818NormalN/AN/AN/A
884NormalN/AN/AN/A
927NormalN/AN/AN/A
G5GCT31Pre1
G6GCT48PreRecurrent, metaststic
G7GCT43Pre1A
G9GCT85PostRecurrent, metaststic
G10GCTN/AN/AN/A
G11GCT66PostRecurrent, metaststic
G12GCT58PostRecurrent, metaststic
G13GCT17PreJuvenile, recurrent (metastatic)
G14GCT50PreRecurrent
G15GCT33PreJuvenile, recurrent
G17GCT53Pre1
G18GCT54Pre1
G19GCT45PreRecurrent
G20GCT71PostRecurrent
G22GCT4PreJuvenile
G23 (137)GCT81PostHigh Grade
G24 (1342)GCT50Post1c
G26GCT54Post1
G27GCT79Post1

Pre: pre-menopausal; Post: post-menopausal; N/A: Not available. Samples from patients numbered - S1-S9 (n = 8) are serous; M2-M13 (n = 6) are mucinous; G5-G27 (n = 19) are from Granulosa cell tumor (GCT); N7-N13, 818, 884 and 927 (n = 9) are normal.

Total RNA was extracted from tissues using guanidinium thiocyanate-cesium chloride as previously described 37. All RNA samples were DNaseI-treated as per manufacturer's instructions (DNA-free kit; Ambion, Texas, USA). RNA concentration was determined at 260nm using an ND1000 Nanodrop spectrophotometer (Thermo Scientific, Wilmington, DE, USA).

Reverse transcription polymerase chain reaction (RT-PCR) analysis

Total RNA (1µg) was reverse transcribed using AMV reverse transcriptase (Roche, Mannheim, Germany) as previously reported 24. The cDNA product (1µl) was amplified using GoTag green master mix (Promega, Hawthorn, VIC, Australia) and 10 pmol of forward and reverse primers for HtrA1, HtrA2 and HtrA3 [long (L) and short (S) isoforms] and 18S (Table 2). All PCRs were run in duplicate and products were analysed by electrophoresis on 1% agarose gel (Roche), stained with Gel Red (Biotium, Stepney, SA, Australia) and imaged with Gel Doc-2000 (Bio-Rad, Hercules, CA). A non template control in which diethyl pyrocarbonate water was substituted for RT was included as a negative control. As a loading control, 18S was amplified for each RT reaction.
Table 2

The primer sequences and reaction conditions for RT-PCR.

GenePrimer Sequences (5' - 3')F- Forward, R- ReverseAnnealing temperature (0C) and cycles (n) - Block PCRPCR Product size (bp)
HTRA1F - AAA GCC ATC ACC AAG AAG AAG TATR - TCC TCA TCC GTC ATC CAC58 (30 cycles)384
HTRA2F - GCC GTG GTC TAT ATC GAG ATC CTR - TGC CGG ATG TGA TCG TGT58 (30 cycles)343
HTRA3-L (Long)F - ATG CGG ACG ATC ACA CCA AGR - CGC TGC CCT CCG TTG TCT G58 (30 cycles)337
HTRA3-S (short)F - GAG GGC TGG TCA CAT GAA GAR - GCT CCG CTA ATT TCC AGT53 (35 cycles)320
18SF - CGG CTA CCA CAT CCA AGG AAR - GCT GGA ATT ACC GCG GCT64 (26 cycles)187

Immunohistochemistry

Normal ovarian tissues and serous epithelial ovarian cancer tissues from post-menopausal women were collected prospectively from women undergoing surgery for suspected gynaecological malignancies. All samples were collected from anaesthetised patients who had no prior treatment for their malignancies, and had no other history of malignant disease. Tissue samples were collected with prior approval from the Southern Health Human Research Ethics Committee and with prior informed written consent from participants. The tissues were formalin fixed and embedded in paraffin. Sections of 5µm thickness on Superfrost plus slides were subjected to standard immunohistochemistry. After de-paraffinization and rehydration, antigen was retrieved by microwaving [5min 700W in 0.01mol/L sodium citrate buffer (pH 6.0)], endogenous peroxidase was quenched with 3% hydrogen peroxide in methanol for 10min, and the non-specific binding was blocked with pre-immune blocking serum [15% normal rabbit serum plus 2% normal human serum in high salt Tris buffered saline (HS-TBS) with 0.1% Tween-20] for 40min at room-temperature. The primary antibody [custom-made sheep anti-HtrA3 antibody 14] or preimmune sheep IgG as a negative control (both 0.5µg/ml) was diluted in the blocking buffer (10% fetal calf serum in HB-TBS with 0.1% Tween-20) and sections were incubated at 37 0C for 1h and washed with high-salt TBS plus 0.6% Tween. The secondary antibody (biotinylated rabbit anti-sheep IgG, 1:200; Vector Laboratories, Burlingame, CA) was applied in the blocking buffer for 30min at room-temperature. Positive immunostaining was revealed by incubating the sections with an avidin-biotin-complex conjugated to horseradish peroxidase (1:100, Vectorstain elite ABC kit) for 30min at room-temperature, followed by the application of the peroxidase substrate 3,3N-diaminobenzidine (DAB, DakoCytomation) leading to a brown precipitate for positive staining. Sections were counterstained with hematoxylin and examined with Olympus BH2 microscope fitted with a Fujix HC-2000 high-resolution digital camera (Fujix, Tokyo, Japan). Sections from normal ovarian tissue were used as positive controls.

Densitometric and statistical analysis

Densitomety was performed using ImageJ software (Version 1.6, National Institutes of Health, Bethesda, MD). Selected bands were quantified based on their relative intensities. Fold change was calculated relative to 18S for each sample. Statistical analysis was performed using Prism for Windows (GraphPad 5.0 Software, San Diego, CA) using a non-parametric Kruskal-Wallis test, followed by Dunns post test. P <0.05 was considered significant for data acquired in arbitrary density units.

Results

HtrA3 is more extensively and drastically downregulated than HtrA1 or HtrA2 in commonly used cancer cell lines

Expression of HtrA1, HtrA2 and HtrA3 (HtrA3-L and HtrA3-S) in several well characterized cell lines derived from ovary, endometrium, testes, breast, prostrate, and colon was determined by conventional RT-PCR (Fig. 1A & B). Specific bands of expected size for each candidate gene were detected.
Figure 1

RT-PCR analysis of the mRNA levels of human HtrA1, HtrA2 and HrA3 [long (HtrA3-L) and short (HtrA3-S)] in various cancer cell lines. (A) Representative semi-quantitative PCR results from testes, breast, prostate, and colon control and cancer cell lines. (B) Representative semi-quantitative PCR results from ovarian and endometrial control and cancer cell lines. 18S amplification was used as loading control. Pre-menopausal and post-menopausal ovary - normal controls for ovary; Mid-Proliferative and Mid-Secretory - normal controls for mid proliferative and secretory phase endometrium respectively. Cancer cell lines examined, testes - Ntera-2D; breast - MCK-7, MDA-231; prostate - PC3, DU145, and LNCap; colon - SW480 and WIDR; ovary - KGN and COV434; endometrium - ECC1, HEC1-A, HEC1-B, Ishikawa, RL95-2 and AN3CA.

HtrA1 was consistently expressed in all control samples and in ovarian (n=2), endometrial (n=7), testicular (n=1) and prostate (n=3) cancer cell lines screened. It was downregulated in only one of the two breast and colon cancer cell lines examined (Fig. 1B). Similarly, HtrA2 was also consistently expressed in most of the cancer cell lines screened. All endometrial (n=7), prostate (n=3) and colon (n=2) cancer cell lines and controls were positive for HtrA2 (Fig. 1A & B). Weak HtrA2 signal was observed in control ovary and in both GCT-derived cancer cell lines, and in control testes and the testicular cancer cell line. Very low levels of HtrA2 were detected in breast control and in both breast cancer cell lines (Fig. 1A & B). In contrast, both HtrA3-L and HtrA3-S were downregulated in most of the cancer cell lines examined. In all control samples, positive HtrA3 expression was detected. HtrA3 expression was not detected in either GCT-derived cancer cell lines. Its expression was downregulated in five of the seven endometrial cancer cell lines, in both breast cancer cell lines, in two of the three prostate cancer cell lines, and one of the two colon cancer cell lines (Fig. 1A & B). However, positive HtrA3 mRNA was detected in the normal testis and testicular cancer cell lines (Fig. 1A & B).

HtrA3-L mRNA levels are significantly decreased in primary serous and granulosa ovarian tumors

We next determined the mRNA levels of HtrA1, HtrA2 and HtrA3 isoforms (HtrA3-L and HtrA3-S) in ovarian tissue samples. Different sub-types of ovarian tumor [serous tumors (n=8), mucinous tumors (n=6), granulosa cell tumors (GCT, n=19)] were compared to normal premenopausal ovarian tissue (n=9). HtrA1 mRNA was clearly detected in all ovarian control and tumor samples (Fig. 2A). Densitometric analysis showed no significant differences between control and any ovarian tumor groups (Fig. 2B). HtrA1 mRNA was lower in serous tumors, but not significantly different from any other groups. HtrA1 expression was more variable across the GCT samples.
Figure 2

RT-PCR analysis of human HtrA1 expression in normal ovary and different types of ovarian tumors. (A) Representative semi-quantitative RT-PCR results from normal ovary and serous, mucinous and granulosa cell tumor (GCT) ovarian cancers. (B) Densitometric analysis showing the relative mRNA levels (corrected for 18S) in normal ovary and ovarian cancer samples. Patient details for normal and cancer groups are summarised in table 1.

HtrA2 was also detected in all ovarian control and tumor samples screened with no significant differences between the groups (Fig. 3A & B).
Figure 3

RT-PCR analysis of human HtrA2 expression in normal ovary and different types of ovarian tumors. (A) Representative semi-quantitative RT-PCR results from normal ovary and serous, mucinous and granulosa cell tumor (GCT) ovarian cancers. (B) Densitometric analysis showing relative mRNA levels (corrected for 18S) in normal ovary and ovarian cancer samples. Patient details for normal and cancer groups are summarised in table 1.

Both HtrA3 isoforms (HtrA3-L and HtrA3-S) were expressed in normal and tumor samples (Fig. 4A). However, densitometric analysis corrected for 18S showed that the two isoforms were differentially expressed. Compared to the normal tissues, the mean level of HtrA3-L was significantly reduced in the serous tumors and GCT (Fig. 4B). HtrA3-L mRNA levels were variable in mucinous tumors and the mean level was not significantly different from the control.
Figure 4

RT-PCR analysis of human HtrA3 (HtrA3-L and HtrA3-S) expression in normal ovary and different types of ovarian tumors. (A) Representative semi-quantitative RT-PCR results from normal ovary and serous, mucinous and granulosa cell tumor (GCT) ovarian cancers. (B & C) Densitometric analysis showing relative mRNA levels (corrected for 18S) in normal ovary and ovarian cancer samples. Patient details for normal and cancer groups are summarised in table 1. * P<0.05, ** P<0.01.

In contrast, compared to the normal tissues, although the mean levels of HtrA3-S mRNA were also low in serous tumors (Fig. 4C), the levels were not significantly different from the control. No significant changes in HtrA3-S expression were observed in any cancer groups.

HtrA3 protein levels were decreased progressively in serous ovarian tumors

Since HtrA3-L mRNA was significantly downregulated in serous ovarian tumors, we next determined the HtrA3 cellular localisation in the post-menopausal ovarian control and late stage serous carcinoma by immunohistochemistry. The post-menopausal ovary was dominated by a stroma composed of spindle shaped cells surrounded by abundant collagen bundles and blood vessels. In the post-menopausal ovary, ovarian follicles and the accompanying granulosa cell compartment are lost, as expected. In the control, moderate levels of HtrA3 (Fig. 5A & B) were detected predominantly in the stroma, particularly in the remaining luteinizing stromal cells and corpus albicans (Fig. 5B).
Figure 5

Human HtrA3 in normal and serous ovarian cancer tissues. Representative micrographs of post-menopausal control ovary and two serous (grade 3) cancer tissues immunostained for HtrA3. (A, B) Normal ovary, (C, D, E, F) Serous cancer - grade (G3) - from different patients. Right panel images are magnified view. Negative controls (preimmune sheep IgG) are in lower right inserts. Scale bar = 200 µm; applies to all panels. S - stromal cells; Leu S - lutenizing stromal cells; Mes cw - mesenchymal cell wall; Pap - papillae.

In the serous carcinoma tumors (grade-3, stages 2-4 - late cancer), papillae are lined by stratified cells of serous type with extensive cellular growth, cellular budding, and increased stromal invasion. In the papillae of the cancer, HtrA3 was significantly reduced or completely absent (Fig. 5C-F). On sections containing mesenchymal cyst wall and papillae (Fig. 5C & D), HtrA3 was detected in the mesenchymal cyst wall, but the papillae showed low HtrA3 staining. On sections containing no mesenchymal cyst wall (Fig. 5E & F), the papillae was almost negative for HtrA3.

Discussion

This study describes the comparison of the expression of HtrA serine proteases HtrA1, HtrA2 and HtrA3 (HtrA3-L and HtrA3-S) in various cancer cell lines and in primary ovarian tumors. Our study demonstrates that both HtrA3-L and HtrA3-S are more widely lost than HtrA1 or HtrA2 in various cancer cell lines. In addition, we present evidence that HtrA3-L mRNA is significantly downregulated in primary serous and GCTs compared to normal controls. Our results also confirmed a downregulation of HtrA3 protein in late stage serous carcinoma. These findings provide further evidence that HtrA3-L may play an active role as a tumor suppressor in human GCTs and serous carcinomas. Our results are in agreement with the previous studies showing the downregulation of human HtrA3 in ovarian, endometrial and lung cancers. Both HtrA1 and HtrA3 are secreted proteins with similar domain organisation, suggesting they have similar functions. Though previous studies have reported the downregulation of HtrA1 mRNA in different types of ovarian tumors 21, 33, our study revealed that the downregulation of HtrA3 is more widespread and extensive. In this study, HtrA1 was not found to be significantly reduced in various cancer cell lines or in primary ovarian tumors compared to normal controls. A previous study by Chien et al 21 has also shown that HtrA3 expression was lost in ovarian cell lines expressing HtrA1. Our study found differential expression for HtrA1 and HtrA3, not only in cancer cell lines but also in primary ovarian tumors. However, no direct correlation was observed between HtrA1 and HtrA3 levels in any of the sample group. The differential expression between HtrA1 and HtrA3 in ovarian cancer cells is intriguing; its significance warrants further investigation. Both HtrA3-L and HtrA3-S are downregulated in human GCT-derived cell lines, while only HtrA3-L was significantly downregulated in human primary GCT and serous carcinoma. Though levels of HtrA3-S also showed a similar downward pattern in serous carcinoma, it was not significantly different. Higher expression levels of HtrA3-L have been previously reported in rat ovaries and also in primary granulosa cells treated with follicle-stimulating hormone 38. It is therefore possible that HtrA3 levels are decreased or non-detectable in the GCTs and GCT derived cell lines which cannot undergo luteinization. Since both HtrA3-L and HtrA3-S isoforms are proteolytically active 39, further work needs to resolve the role of HtrA3-L in ovarian tumorigenesis. HtrA3 can bind to TGF-β family members and inhibit TGF-β signalling, and its proteolytic activity is essential for the inhibition 40. It has also been shown to regulate the IGF/IGFBP system 13, 41 A number of ovarian processes require the action of growth factors including IGF-1 and TGF-β superfamily members 42. Studies have shown that TGF-β1 can act as a tumor suppressor at the early stages of tumorigenesis, when the tumor is still benign, and as a stimulator of tumor progression, invasion and metastasis at the late stages of tumorigenesis 43. Furthermore, HtrA3 exhibits substrate specificity toward certain extracellular matrix proteoglycans like decorin, biglycan and fibronectin 40, facilitates cell migration and invasion 24, 44, and hence HtrA3 may also modulate the ECM environment of the ovary. It is therefore possible that HtrA3 plays a role in ovarian tumorigenesis by regulating the actions and signalling of these growth factor systems in the ovary. Additional support for HtrA3 as a putative tumor suppressor came from a study in lung cancer. Beleford et al 19 showed that down-regulation of HtrA3 expression in smoking related lung cancers was associated with the cigarette smoke-induced methylation of HtrA3. As evidence exists showing that HtrA3 can be a predictive factor of clinical response to chemotherapy; a higher response rate was found for patients with lung cancers expressing higher levels of HtrA3 32. Similarly, due to epigenetic inactivation of HtrA1, lower levels of HtrA1 have been reported in lymph node melanoma, ovary, lung and breast cancers 21, 25, 27, 45. A previous study by Chien et al has indicated that HtrA1 expression enhanced sensitivity to cisplatin and paclitaxel, whereas down-regulation attenuated cytotoxicity in ovarian and gastric cancers 46. A better understanding of the molecular mechanisms involved in ovarian tumor development may help to distinguish between the high- and low-risk patients and improve their clinical management. Proteases have been implicated in the development and progression of cancer, by degrading ECM and facilitating cell migration and invasion 47. However, a new concept is emerging demonstrating that proteases can act as tumour-suppressors. Specific serine proteases in the normal breast, prostate and testis are downregulated in cancers and function as tumour suppressors either by a loss of the gene or methylation in the promoter 48, 49. Our data suggests that HtrA3 may represent another tumor suppressor in this group. Moreover, the epithelial-to-mesenchymal transition (EMT) which is critical during embryonic development has a parallel role in tumorigenesis and contributes to tumor invasion, metastasis, and acquisition of therapeutic resistance 50-52. We have previously demonstrated that HtrA3 expression levels are inversely correlated with motility and invasion 24, 44, and acquisition of increased motility is one of the typical features of EMT. Similar to HtrA1 53, HtrA3 may function as a tumor suppressor by controlling the EMT, and may function in chemotherapeutic responsiveness by mediating DNA damage response pathways. In summary, we have shown that both HtrA3-L and HtrA3-S are more consistently downregulated than HtrA1 or HtrA2 in various commonly used cancer cell lines. Importantly, HtrA3-L mRNA and protein was significantly downregulated in primary serous and GCTs compared to controls. Collectively this study highlights the potential role of HtrA3 as a tumor suppressor. Further studies are needed to enhance our understanding of the role of HtrA3 in normal and malignant cells.
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Journal:  Medicina (Kaunas)       Date:  2020-06-17       Impact factor: 2.430

6.  Long intergenic non‑coding RNA 00467 promotes lung adenocarcinoma proliferation, migration and invasion by binding with EZH2 and repressing HTRA3 expression.

Authors:  Xianghai Wang; Hongbing Liu; Kaikai Shen; Xianhui Pan; Yuqing Wei; Tangfeng Lv; Yong Song
Journal:  Mol Med Rep       Date:  2019-05-23       Impact factor: 2.952

Review 7.  Glucose transporters: Important regulators of endometrial cancer therapy sensitivity.

Authors:  Xing Zhang; Jia-Jing Lu; Ayitila Abudukeyoumu; Ding-Yu Hou; Jing Dong; Jiang-Nan Wu; Li-Bing Liu; Ming-Qing Li; Feng Xie
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

8.  Activity-modulating monoclonal antibodies to the human serine protease HtrA3 provide novel insights into regulating HtrA proteolytic activities.

Authors:  Harmeet Singh; Tracy L Nero; Yao Wang; Michael W Parker; Guiying Nie
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

9.  Maternal HtrA3 optimizes placental development to influence offspring birth weight and subsequent white fat gain in adulthood.

Authors:  Ying Li; Lois A Salamonsen; Jonathan Hyett; Fabricio da Silva Costa; Guiying Nie
Journal:  Sci Rep       Date:  2017-07-04       Impact factor: 4.379

10.  Expression of HTRA Genes and Its Association with Microsatellite Instability and Survival of Patients with Colorectal Cancer.

Authors:  Dorota Zurawa-Janicka; Jarek Kobiela; Tomasz Slebioda; Rafal Peksa; Marcin Stanislawowski; Piotr Mieczyslaw Wierzbicki; Tomasz Wenta; Barbara Lipinska; Zbigniew Kmiec; Wojciech Biernat; Andrzej Jacek Lachinski; Zbigniew Sledzinski
Journal:  Int J Mol Sci       Date:  2020-05-31       Impact factor: 5.923

  10 in total

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