Literature DB >> 25061500

HOXA10 is associated with temozolomide resistance through regulation of the homologous recombinant DNA repair pathway in glioblastoma cell lines.

Jin Wook Kim1, Ji Young Kim1, Ja Eun Kim1, Seung-Ki Kim1,2, Hyun-Tai Chung1, Chul-Kee Park1.   

Abstract

Temozolomide resistance is associated with multiple DNA repair pathways. We investigated homeobox (HOX) genes for their role in temozolomide resistance, focusing on the homologous recombination (HR) pathway, and we tested their therapeutic implications in conjunction with O(6)-methylguanine DNA methyltransferase (MGMT) status. Two glioblastoma cell lines with different MGMT statuses were used to test the augmented anticancer effect of temozolomide with HOXA10 inhibition. In vitro experiments, including gene expression studies with RNA interference, were performed to verify the related pathway dynamics. HOXA10 inhibition reinforced temozolomide sensitivity independent of MGMT status and was related to the impaired double-strand DNA breakage repair process resulting from the downregulation of Rad51 paralogs. Early growth response 1 (EGR1) and phosphatase and tensin homolog (PTEN) were the regulatory mediators between HOXA10 and the HR pathway. Moreover, HOXA10 inhibition selectively affected the nuclear function of PTEN without interfering with its cytoplasmic function of suppressing the phosphoinositide 3-kinase/Akt pathway. The mechanism of HR pathway regulation by HOXA10 harbors another target mechanism for overcoming temozolomide resistance in glioblastoma patients.

Entities:  

Keywords:  EGR1; HOXA10; PTEN; homologous recombination; temozolomide resistance

Year:  2014        PMID: 25061500      PMCID: PMC4104759          DOI: 10.18632/genesandcancer.16

Source DB:  PubMed          Journal:  Genes Cancer        ISSN: 1947-6019


INTRODUCTION

Temozolomide has been a mainstay of chemotherapy for glioblastoma (GBM) for the past decade but still produces unsatisfactory clinical outcomes. Most GBM patients who are treated with standard therapy incorporating temozolomide eventually experience progression, and only 11% of patents remain progression free at 2 years [1]. The inescapable early treatment failure rate of standard treatment largely depends on temozolomide resistance. From the perspective of the drug mechanism of temozolomide, O6-methylguanine DNA methyltransferase (MGMT) has been proven to be associated with the prediction of the treatment effect [2]. However, there are further steps that lead the cancer cells to death after temozolomide treatment in relation to the DNA repair pathway, such as mismatch repair (MMR) and homologous recombination (HR) [3, 4]. Temozolomide cytotoxicity is initially mediated by the generation of O6-methylguanine from guanine, which can be repaired by MGMT [5]. However, unrepaired O6- methylguanine successively results in thymine mispairing during DNA replication, and these mispairs result in futile cycles of the repair process by the MMR system due to the persistence of O6-methylguanine in the template strand [5]. These futile cycles of the DNA repair process eventually cause double-strand DNA breaks, leading to cell apoptosis if the HR system functions inadequately [5]. Therefore, temozolomide resistance can be induced if MGMT is activated, MMR function is defective, or HR is normal. In addition to the established mechanism of temozolomide resistance by MGMT, reports have been published concerning inactivating mutations of MSH6 among MMR genes contributing to temozolomide resistance in GBM [6-8]. However, the incidence of MMR alterations in GBM is infrequent; thus, it is considered to be less important for temozolomide resistance [3, 9]. Otherwise, the contribution of HR to temozolomide resistance has been rarely studied, and little is known. We investigated temozolomide resistance and mechanisms to restore temozolomide sensitivity, focusing simultaneously on MGMT and HR. To identify plausible targets for temozolomide resistance, we considered homeobox (HOX) genes, which showed a significant relationship between its dichotomized sub-classification with MGMT and survival in gene expression profiling studies, as previously reported [10]. HOX genes are a group of essential regulatory genes that normally control embryonic development and that should be in the silenced state in the adult central nervous system [11-13]. Recent studies have shown evidence of the aberrant expression of HOX genes in diverse cancers, including gliomas [14-18]. Although solid evidence exists concerning the role of HOX genes in oncogenesis and therapeutic resistance in gliomas, the exact mechanism remains unclear, and only a small number of recent studies have been published [9, 10, 18]. In the present study, we investigated the mechanism of HOXA10 regarding its role in temozolomide resistance using glioblastoma cell lines and tested the therapeutic implication of temozolomide resistance in conjunction with MGMT status. The result of the present study suggests a possible hypothesis for the temozolomide non-responders in MGMT-inactive GBM patients.

RESULTS

HOXA10 mediates temozolomide resistance independent of MGMT

The MGMT methylation status of the LN18 and LN229 glioma cell lines as measured by MSP revealed an unmethylated MGMT promoter (MGMT active) for LN18 cells and a methylated MGMT promoter (MGMT inactive) for LN229 cells (Figure 1A). Both cell lines displayed intact HOXA10 expression, which was successfully knocked down with iHOXA10. When the cell lines were treated with TMZ in combination with O6- BG and/or iHOXA10, significant differences in the cell death ratio were observed when iHOXA10 was added (Figure 1B). This additive effect of iHOXA10 on cell viability was independent of the MGMT status and created an added effect over MGMT inhibition.
Figure 1

A. MGMT promoter methylation-specific polymerase chain reaction results. Each lane with an asterisk indicates control DNA for no methylation and methylation. The MGMT promoter is unmethylated in LN18 cells and methylated in LN229 cells. B. Cell viability results presented as the relative cell death ratio. Inhibition of HOXA10 shows an additive effect with temozolomide treatment in both cell lines, even after the inhibition of MGMT in LN18 cells.

A. MGMT promoter methylation-specific polymerase chain reaction results. Each lane with an asterisk indicates control DNA for no methylation and methylation. The MGMT promoter is unmethylated in LN18 cells and methylated in LN229 cells. B. Cell viability results presented as the relative cell death ratio. Inhibition of HOXA10 shows an additive effect with temozolomide treatment in both cell lines, even after the inhibition of MGMT in LN18 cells.

Screening for effectors of HOXA10

To identify HOXA10-regulated genes, we transduced LN18 cells with control siRNA or HOXA10-silencing siRNA (iHOXA10) and carried out microarray gene expression profiling. We compared the expression values of selected probe sets displaying average fold-changes of at least 2.0-fold, yielding 124 probe sets as being differentially expressed (15 up- and 109 down-regulated). Among them, only selected genes with RefSeq identifiers (NCBI Reference Sequence Database; http://www.ncbi.nlm.nih.gov/refseq/) are listed (Table 2). We then used the functional annotation tools within DAVID Bioinformatics Resources (http://david.abcc.ncifcrf.gov/home.jsp) to perform gene annotation enrichment [19]. This analysis indicated that early growth response protein 1 (EGR1) is a mediator for the functional category of transcription/cell division and chromosome partitioning among the listed genes. EGR1 showed a -3.09-fold change after iHOXA10 treatment. After thorough review of the functions of EGR1, we focused on previous reports indicating that EGR1 induces phosphatase and tensin homolog (PTEN) by regulating its promoter [20-22]. Moreover, evidence has shown that PTEN has novel nuclear functions, including transcriptional regulation of the Rad51 gene, whose product is essential for HR repair of DNA breaks [23, 24]. Therefore, we hypothesized that HOXA10 can regulate the HR system mediated by EGR1 and PTEN.
Table 2

Identification of HOXA10-regulated genes in LN18 cells

HOXA10-silencing siRNA versus control siRNA transduced cells are compared using Affymetrix GeneChip Human Gene 1.0ST Arrays. Probe sets with fold-changes of more than 2-fold are shown (3 up and 54 down probe sets).

Gene AccessionGene Symbollog2 ratio (control vs iHOXA10)Fold change
Up regulation
1NM_001771CD221.372.58
2NM_001042390PTPN20A1.382.60
3NM_001143818SERPINB21.512.85
Down regulation
1NM_001166292PTCH2−1.873.65
2NR_002979SNORA49−1.793.46
3NR_002960SNORA20−1.793.45
4NR_003706SNORA38B−1.793.45
5NR_000018SNORD35A−1.763.39
6NR_003035SNORA16A−1.713.28
7NM_014997KLHDC10−1.062.08
8NM_015886PI15−1.693.23
9NM_032290ANKRD32−1.653.15
10NM_001964EGR1−1.633.09
11NR_023343RNU4ATAC−1.603.04
12NR_003137RNU4-2−1.572.97
13NR_002963SNORA24−1.552.92
14NM_001030RPS27−1.052.07
15NR_002911SNORA71A−1.542.90
16NM_001866COX7B−1.432.70
17NM_005063SCD−1.432.70
18NR_003041SNORD13−1.402.64
19NR_003041SNORD13−1.392.63
20NR_002749SNORD45A−1.372.58
21NR_002962SNORA23−1.342.53
22NR_002447SNORD24−1.302.47
23NM_152997C4orf7−1.282.43
24NR_000020SNORD33−1.262.40
25NR_002748SNORD45B−1.262.40
26NM_001030RPS27−1.192.28
27NR_003018SNORA71D−1.182.27
28NR_002580SNORA3−1.182.26
29NM_004891MRPL33−1.172.25
30NR_002569SCARNA9−1.042.06
31NM_182511CBLN2−1.162.23
32NR_004381SNORD105−1.142.21
33NR_000021SNORD32A−1.142.21
34NR_000019SNORD34−1.142.20
35NR_003002SCARNA13−1.142.20
36NM_019058DDIT4−1.122.17
37NR_003017SNORA71C−1.122.17
38NM_006111ACAA2−1.112.16
39NR_000024SNORD46−1.112.15
40NR_004380SNORD104−1.102.15
41NM_000599IGFBP5−1.092.14
42NR_002450SNORD68−1.092.13
43NM_001030RPS27−1.092.12
44NR_029707MIR186−1.082.12
45NR_002922SNORA13−1.082.11
46NR_000012SNORA68−1.072.10
47NM_001170423PRSS35−1.072.10
48NM_001030RPS27−1.072.10
49NR_002961SNORA22−3.5011.32
50NR_002751SNORD41−2.937.63
51NM_020299AKR1B10−2.415.31
52NR_003925RNU4-1−2.024.05
53NR_002753RNU5F−1.893.71
54NM_016097IER3IP1−1.072.10

HOXA10 selectively regulates the nuclear function of PTEN through EGR1

After knockdown with iHOXA10, RT-PCR data showed significant suppression of EGR1 and PTEN in both LN18 (93% and 30% suppression) and LN229 (25% and 58% suppression) cells (Figure 2A). These results suggested that EGR1 and PTEN are the mediators regulated by HOXA10 status. However, suppression of PTEN induced by iHOXA10 did not affect the phosphoinositide 3-kinase (PI3K) pathway. The protein expression of total Akt and phosphorylated Akt showed no change, although PTEN was suppressed by iHOXA10 (Figure 2B). This finding implies that HOXA10 regulates only the nuclear function of PTEN without affecting its cytoplasmic function. This finding was also supported by the result of the cell viability test involving inhibition of PTEN directly with siRNA (iPTEN) that suppresses the cytoplasmic function of PTEN. No significant difference in cell death rate was noted whether iPTEN was added or not to TMZ, although significant differences were observed with the iHOXA10 and TMZ combination (Figure 2C).
Figure 2

A. RT-PCR results after HOXA10 knockdown by siRNA. Reduced expression of EGR1 and PTEN is shown. B. Western blotting results after HOXA10 knockdown by siRNA. Despite the suppression of PTEN, the expression of both total Akt and phosphorylated Akt remained unchanged. C. Cell viability results presented as the relative cell death ratio. Direct inhibition of PTEN (inhibition of the cytoplasmic function of PTEN) had no influence on the anticancer effect of temozolomide, although inhibition of HOXA10 (indirect inhibition of the nuclear function of PTEN) had an additive anticancer effect with temozolomide in both cell lines.

A. RT-PCR results after HOXA10 knockdown by siRNA. Reduced expression of EGR1 and PTEN is shown. B. Western blotting results after HOXA10 knockdown by siRNA. Despite the suppression of PTEN, the expression of both total Akt and phosphorylated Akt remained unchanged. C. Cell viability results presented as the relative cell death ratio. Direct inhibition of PTEN (inhibition of the cytoplasmic function of PTEN) had no influence on the anticancer effect of temozolomide, although inhibition of HOXA10 (indirect inhibition of the nuclear function of PTEN) had an additive anticancer effect with temozolomide in both cell lines.

Impairment of the HR system was observed with HOXA10 inhibition

We further validated the association of the regulatory activity of HOXA10 with the nuclear function of PTEN—namely, the maintenance of the HR system via the positive transcriptional regulation of Rad51 genes. Significant downregulation of all Rad51b, Rad51c, and Rad51d genes was found after HOXA10 knockdown (Figure 3A). Next, the formation of γ-H2AX at the site of double-strand DNA damage was checked. The kinetics of γ-H2AX foci is a well-accepted surrogate marker of the function of the HR system, which repairs DNA-double strand breakage [25]. A significant increase in the number of γ-H2AX foci was demonstrated in iHOXA10-treated cells (Figure 3B), indicating that inhibition of HOXA10 impairs the HR DNA repair system, potentially keeping cancer cells from escaping death after anticancer treatment. The apoptosis assay confirmed that a significantly increased number of cancer cells undergo apoptosis after treatment with both iHOXA10 and temozolomide (Figure 3C).
Figure 3

A. RT-PCR results after HOXA10 knockdown by siRNA. Reduced expression of Rad51b, Rad51c, and Rad51d is shown. B. Immunofluorescence image of γ-H2AX foci indicating double-strand DNA breakage. Increased numbers of γ-H2AX foci are observed with HOXA10 inhibition. C. Annexin V apoptosis assay shows a significant increase in apoptosis in the cancer cell lines by HOXA10 inhibition in combination with temozolomide.

A. RT-PCR results after HOXA10 knockdown by siRNA. Reduced expression of Rad51b, Rad51c, and Rad51d is shown. B. Immunofluorescence image of γ-H2AX foci indicating double-strand DNA breakage. Increased numbers of γ-H2AX foci are observed with HOXA10 inhibition. C. Annexin V apoptosis assay shows a significant increase in apoptosis in the cancer cell lines by HOXA10 inhibition in combination with temozolomide.

DISCUSSION

Homeobox genes are essential developmental regulators, some of which are normally expressed during embryogenesis but are frequently up-regulated in cancer cells [26]. In the normal adult brain, most HOX genes are not expressed at all or are expressed at very low levels [13]. However, reports have demonstrated increased expression of HOX genes in brain tumors as well as other cancers from various organs [16, 26-32]. Murat et al. reported coordinated data of HOX genes and treatment resistance in GBM samples [10]. They found that high HOXA10 expression was predictive of resistance of treatment, including TMZ treatment, independent of the MGMT methylation status of the tumor [10]. The HOX genes aberrantly expressed in cancer cells are considered to be tumor modulators rather than tumor suppressor genes or oncogenes [26]. Recent studies concerning the functional analysis of HOX genes in glioblastoma also corroborate this assertion [9, 18]. Costa et al. demonstrated that HOXA9 plays oncogenic effects in GBM, such as inhibiting apoptosis and increasing cell proliferation, both of which can be reversed by inhibiting the PI3K pathway through an epigenetic mechanism involving histone H3K27 trimethylation [18]. They also showed that HOXA9 is an independent negative prognostic factor of survival; interestingly, HOXA9 expression remained a valid prognostic factor in the methylated MGMT promoter subgroup [18]. They suggested that the suppression of oncogenic HOXA expression by mTOR- or PI3K-targeted therapies can be a possible anticancer therapy for GBM patients [18]. Gaspar et al. reported a similar study with a more specific focus on treatment resistance [9]. They found high expression levels of the HOXA9/HOXA10 genes in pediatric GBM patient samples as well as a TMZ-resistant pediatric GBM cell line; high HOXA9/HOXA10 levels were related to shorter survival [9]. Temozolomide resistance in the high HOXA9/HOXA10-expressing GBM cell line was independent of MGMT status, and the PI3K pathway was considered to be an upstream regulator of HOX genes that can be targeted to overcome the resistance [9]. However, neither study investigated the downstream mechanism of temozolomide resistance induced by HOX genes.

Identification of HOXA10-regulated genes in LN18 cells

HOXA10-silencing siRNA versus control siRNA transduced cells are compared using Affymetrix GeneChip Human Gene 1.0ST Arrays. Probe sets with fold-changes of more than 2-fold are shown (3 up and 54 down probe sets). In the present study, based on our hypothesis and related experimentation, we confirmed the downstream mechanism of HOXA10 associated with temozolomide resistance. In summary, HOXA10 induces transcription of EGR1, which sequentially results in PTEN expression. PTEN in the nucleus then acts as a positive transcriptional regulator of Rad51 paralogs, which are essential for the maintenance of the HR DNA repair system, which can protect cancer cells from temozolomide-induced cytotoxicity. Thus, inhibition of HOXA10 can downregulate EGR1, PTEN, and Rad51 paralogs in serial order to interfere with the HR system of cancer cells, making the cancer cell more vulnerable to temozolomide treatment. These processes occur at the nuclear level, and thus, the inhibition of HOXA10 does not affect the tumor suppressor function of PTEN that occurs in the cytoplasm. Studies have proposed novel nuclear functions of PTEN, including transcription regulation, other than its classical role of repressing the PI3K/Akt pathway [23, 24, 33]. McEllin et al. have also shown that PTEN has a novel nuclear function of transcriptional regulation of the Rad51 gene [4]. They also mentioned that downregulation of HR due to PTEN loss would result in sensitivity to DNA alkylating agents or PARP inhibitors [4]. The role of EGR1 as a mediator of PTEN regulation has been proposed in multiple studies [20-22, 34]. The PTEN pathway is regulated at multiple different levels. Among them, p53, IGF2, PPARγ, and EGR1 are molecules that can directly act on the promoter of PTEN to activate transcription [35]. Taken together, all the above lines of evidence, including our results, support the integrity of the EGR1-PTEN-Rad51 axis for HR system regulation initiated by HOXA10. TMZ has been reported to be a strong double-strand DNA break inducer with a potency more than 10-fold that of ionizing radiation [36]. Although studies have indicated that molecules comprising the HR system can be potential modulators of temozolomide cytotoxicity, the importance of the HR system for temozolomide resistance was not highlighted until recently [37-44]. Therefore, the status of HR system in cancer cells may likely be used a biomarker or target to determine the clinical response to TMZ treatment. Moreover, it is also important to consider the MGMT status together with the HR system status because the concepts of oncogenic addiction and synthetic lethality can be applied [45]. For example, the possibility exists for the augmentation of MMR and the HR system in cancer cells with MGMT in an inactive state, such as in GBM with a methylated MGMT promoter, which has potential to interfere with TMZ cytotoxicity. In that case, inhibition of the HR system itself may show an enhanced anticancer effect through sensitization to TMZ treatment. Our study indicates that the HOXA10 can be a good therapeutic target as well as a biomarker to overcome TMZ resistance in the management of GBM patients.

MATERIALS AND METHODS

Cell lines

The human glioma LN18 and LN229 cell lines were obtained and cultured in DMEM containing 10% fetal bovine serum and 5% antibiotics (streptomycin) in a humidified atmosphere of 5% CO2 and 95% air at 37°C. Both cell lines express wild-type phosphatase and tensin homolog (PTEN) as described previously [46]. We performed methylation-specific polymerase chain reaction (MSP) to confirm the methylation status of the MGMT promoter after DNA isolation and bisulfite treatment in these cell lines as described previously [47].

mRNA expression

The primers used were designed using the primer-BLAST tool available on-line (http://www.ncbi.nlm.nih.gov/tools/primer-blast/). The primer sequence of HOXA10, EGR1, PTEN, Rad51b, Rad51c, Rad51d, and GAPDH are summarized (Table 1). Using these primers, reverse transcription-polymerase chain reaction (RT-PCR) was performed to evaluate their expression. Cell lines were lysed with TRIzol (Life technologies), and RNA isolation was performed using an RNeasy Mini Kit (QIAGEN, #74104). Total RNA was treated with DNase and then quantified by spectrophotometry. Additionally, cDNA was synthesized from 1 µg of total RNA using a reverse transcription kit (QIAGEN, #205311) according to the manufacturer's procedure. The RT-PCR reaction was carried out for 35 cycles, comprising 95°C for 5 min, 95°C for 30 sec, and 58°C for 30 sec with each primer set. RT-PCR products were resolved by 2% agarose gel electrophoresis, and the bands were quantified using image analyzing software (ImageJ v1.47; http://rsb.info.nih.gov/ij/).
Table 1

Primers used for PCR amplification

Forward (5'→3')Reverse (5'→3')Amplicon length (bp)
HOXA10AGGTGGACGCTGCGGCTAATCTCTAGCCCCTTCCGAGAGCAGCAAAG209
EGR1CTGCACGCTTCTCAGTGTTCCCGAGTGAGGAAAGGATCCGA210
PTENTGGAAAGGGACGAACTGGTGCACCTTTAGCTGGCAGACCA289
Rad51bTGTGGTGAAACACCCATCGTTGTTCCACGAACACACAACCCA255
Rad51cTTTGGTGAGTTTCCCGCTGTACCCACCCTTAAAAGGAGAACA399
Rad51dGAATGGCGCTGATCTCTACGATCTCCTGGAAACCTGTTGGC725
GAPDHGCAGGGGGGAGCCAAAAGGGTGCCAGCCCCAGCGTCAAAG450

RNA interference

For small interfering RNA (siRNA) experiments, commercially available sequences targeting HOXA10 (iHOX; Sigma Aldrich, #SASI_Hs01_00172491) and PTEN (iPTEN; Dharmacon, #L-003023-00-0005) as well as nontargeting control siRNAs (Dharmacon, #D-001610-01-05) were used. At 70–80% confluence, the cells were transfected with siRNAs at the most efficient transfection condition determined by the NEON® Transfection system (Life Technologies, #MPK5000). The cells were cultured in media without antibiotics to increase the siRNA transfection efficiency for 24 hours.

Drug treatment and cell viability analysis

Normal and transfected cells were grown on 96-well plates at a density of 4×103 cells per well for 24 hours. Temozolomide (TMZ; Enzo, #420-044-M100) and O6-benzylguanine (O6-BG; Sigma Aldrich, #B2292-50MG) were treated with a final concentration of 1000 µg/ml and 300 µg/ml for 24 hours, respectively. Cell viability analysis was performed using a Colorimetric Cell Counting kit-8 (CCK; Dojindo Molecular Technologies). Quantification of viable cells was performed by the reading of ultraviolet (UV) absorption spectra at 450 nm on a microplate 2 hours after adding 10 µl of CCK solution per well according to the manufacturer's instructions. All experiments were conducted in triplicate.

Gene expression profiling

Samples of the LN18 cell line transduced with siHOXA10 as well as control siRNA for 24 hours were analyzed using Affymetrix GeneChip Human Gene 1.0ST Arrays (Affymetrix) to identify the gene expression changes before and after HOXA10 knockdown. Expression data were normalized using the robust multi-array average (RMA) method. Affymetrix Expression Console Version 1.1 (Affymetrix) was used to compare the group signals, and data were log-transformed (base 2) for parametric analysis. Differentially expressed genes were identified using significance analysis of microarrays (SAM) with the R package ‘samr’ (R 2.11.1).

Protein detection

Whole protein extracts of the cells for western blotting were prepared using PRO-PREP lysis buffer (Intron, #17081), and protein concentrations were determined using the BCA protein assay (Thermo Fisher Scientific, #23227). Proteins were separated by 10% SDS-PAGE, blotted onto nitrocellulose membranes, and then probed with antibodies against total AKT (Genetex, #GTX121937, 1:3000 dilution), phosphorylated AKT (Genetex #GTX61708, 1:2000 dilution), total PTEN (Genetex, #GTX101025, 1:500 dilution), and phosphorylated PTEN (Genetex, #GTX61780, 1:1000 dilution). The membranes were then incubated with a goat anti-rabbit IgG secondary antibody (Jackson, #003318367, 1:4000 dilution) for 1 hour. The membranes were incubated in ECL-prime solution (GE Healthcare Amersham, #RPN2232) in the dark for 1 minute and then exposed under a fluorchemHD2 (Cell biosciences) for visualization.

DNA double-strand break assay

The DNA double-strand break (DSB) rates were assessed by quantifying the rates of γ-H2AX foci. Approximately 5×104 cells were seeded on coverslips after drug treatment and were cultured overnight in a 37°C incubator without antibiotics. The following day, cells were fixed with 100% cold methanol for 5 minutes and then permeabilized with 0.25% PBST for 20 minutes. Next, the cells were incubated in 5% skim milk to block non-specific protein-protein interactions and immunostained with a γ-H2AX primary antibody (Abcam, #ab22551) and an FITC-conjugated rabbit anti-mouse secondary antibody (Invitrogen, #A11029). The number of γ-H2AX foci with DAPI was determined using a fluorescence microscope (100× objective). Disrupted cells were excluded from the analysis. Foci counting was performed for an average of 50 cells. The mean number of foci per cell was scored, and the standard error of the mean was calculated.

Apoptosis assay

For apoptosis assays, cells were harvested and suspended in annexin V-binding buffer (BD Biosciences, #556570) at a concentration of 1×105 cells/100 µl. Next, 5 µl of annexin V-FITC and 5 µl of propidium iodide (PI) were added to each sample, and the samples were incubated in the dark at room temperature for 15 min. The samples were run through a FACScan flow cytometer (BD-FACSCalibur-2, #633488), and annexin V positive and PI negative cells were designated apoptotic.

Statistical analysis

ANOVA and Student's t test were used to identify significant differences in the cell death rate, DSB assay, and apoptosis experiments. The results were analyzed using IBM SPSS Statistics software (version 19.0; SPSS, Inc.). Data are presented as the mean ± standard deviation (SD) of three or more separate experiments, and a P value of 0.05 was considered to be statistically significant.
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  20 in total

1.  MicroRNA-544a Regulates Migration and Invasion in Colorectal Cancer Cells via Regulation of Homeobox A10.

Authors:  Shangfeng Sun; Changying Su; Yunxiao Zhu; Haiyan Li; Ning Liu; Tong Xu; Chao Sun; Yanfeng Lv
Journal:  Dig Dis Sci       Date:  2016-05-10       Impact factor: 3.199

2.  HOXA10 controls proliferation, migration and invasion in oral squamous cell carcinoma.

Authors:  Manoela Carrera; Carolina C Bitu; Carine Ervolino de Oliveira; Nilva K Cervigne; Edgard Graner; Aki Manninen; Tuula Salo; Ricardo D Coletta
Journal:  Int J Clin Exp Pathol       Date:  2015-04-01

3.  Integrated Bioinformatic Analysis of the Correlation of HOXA10 Expression with Survival and Immune Cell Infiltration in Lower Grade Glioma.

Authors:  Ting Wang; Mingqian Liu; Ming Jia
Journal:  Biochem Genet       Date:  2022-07-14       Impact factor: 2.220

4.  A Positive Feed-forward Loop Associating EGR1 and PDGFA Promotes Proliferation and Self-renewal in Glioblastoma Stem Cells.

Authors:  Nathalie Sakakini; Laurent Turchi; Aurélie Bergon; Hélène Holota; Samah Rekima; Fabrice Lopez; Philipe Paquis; Fabien Almairac; Denys Fontaine; Nathalie Baeza-Kallee; Ellen Van Obberghen-Schilling; Marie-Pierre Junier; Hervé Chneiweiss; Dominique Figarella-Branger; Fanny Burel-Vandenbos; Jean Imbert; Thierry Virolle
Journal:  J Biol Chem       Date:  2016-03-21       Impact factor: 5.157

5.  Prognostic value of NUSAP1 in progression and expansion of glioblastoma multiforme.

Authors:  Zhiyuan Qian; Yuping Li; Jiawei Ma; Yanping Xue; Yujun Xi; Lei Hong; Xiaoxiao Dai; Yongsheng Zhang; Xiaoyan Ji; Yanming Chen; Minfeng Sheng; Yujing Sheng; Lin Yang; Jiachi Liu; Xingliang Dai; Jia Shi; Tao Xie; Jun Dong
Journal:  J Neurooncol       Date:  2018-07-11       Impact factor: 4.130

6.  High expression of N-myc (and STAT) interactor predicts poor prognosis and promotes tumor growth in human glioblastoma.

Authors:  Delong Meng; Yuanyuan Chen; Dapeng Yun; Yingjie Zhao; Jingkun Wang; Tao Xu; Xiaoying Li; Yuqi Wang; Li Yuan; Ruochuan Sun; Xiao Song; Cong Huai; Lingna Hu; Song Yang; Taishan Min; Juxiang Chen; Hongyan Chen; Daru Lu
Journal:  Oncotarget       Date:  2015-03-10

7.  Chromosome 7 gain and DNA hypermethylation at the HOXA10 locus are associated with expression of a stem cell related HOX-signature in glioblastoma.

Authors:  Sebastian Kurscheid; Pierre Bady; Davide Sciuscio; Ivana Samarzija; Tal Shay; Irene Vassallo; Wim V Criekinge; Roy T Daniel; Martin J van den Bent; Christine Marosi; Michael Weller; Warren P Mason; Eytan Domany; Roger Stupp; Mauro Delorenzi; Monika E Hegi
Journal:  Genome Biol       Date:  2015-01-27       Impact factor: 13.583

8.  Depletion of eukaryotic initiation factor 5B (eIF5B) reprograms the cellular transcriptome and leads to activation of endoplasmic reticulum (ER) stress and c-Jun N-terminal kinase (JNK).

Authors:  Kamiko R Bressler; Joseph A Ross; Slava Ilnytskyy; Keiran Vanden Dungen; Katrina Taylor; Kush Patel; Athanasios Zovoilis; Igor Kovalchuk; Nehal Thakor
Journal:  Cell Stress Chaperones       Date:  2020-10-29       Impact factor: 3.667

9.  A transcriptomic signature mediated by HOXA9 promotes human glioblastoma initiation, aggressiveness and resistance to temozolomide.

Authors:  Marta Pojo; Céline S Gonçalves; Ana Xavier-Magalhães; Ana Isabel Oliveira; Tiago Gonçalves; Sara Correia; Ana J Rodrigues; Sandra Costa; Luísa Pinto; Afonso A Pinto; José M Lopes; Rui M Reis; Miguel Rocha; Nuno Sousa; Bruno M Costa
Journal:  Oncotarget       Date:  2015-04-10

10.  Combination chemotherapy versus temozolomide for patients with methylated MGMT (m-MGMT) glioblastoma: results of computational biological modeling to predict the magnitude of treatment benefit.

Authors:  Michael Castro; Anusha Pampana; Aftab Alam; Rajan Parashar; Swaminathan Rajagopalan; Deepak Anil Lala; Kunal Ghosh Ghosh Roy; Sayani Basu; Annapoorna Prakash; Prashant Nair; Vishwas Joseph; Ashish Agarwal; Poornachandra G; Liptimayee Behura; Shruthi Kulkarni; Nikita Ray Choudhary; Shweta Kapoor
Journal:  J Neurooncol       Date:  2021-06-08       Impact factor: 4.130

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