Literature DB >> 31749921

GAS8 and GAS8-AS1 expression in gastric cancer.

Farbod Esfandi1, Fatemeh Mohammad Rezaei2, Mohammad Taheri3, Maryam Naby Gol4, Vahid Kholghi Oskooei1, Amir Namvar1, Soudeh Ghafouri-Fard1.   

Abstract

AIM: To evaluate the expression of the growth arrest-specific 8 (GAS8) and its antisense (GAS8-AS1) in gastric cancer.
BACKGROUND: GAS8 exists in a genomic region that is recurrently deleted in breast and prostate cancer. This gene contains a long non-coding RNA, namely GAS8-AS1 whose roles in the regulation of GAS8 has been reported in hepatocytes. GAS8-AS1 has also been regarded as a putative tumor suppressor gene in papillary thyroid cancer and hepatocellular carcinoma.
METHODS: In the present study, we evaluated expression levels of GAS8 and GAS8-AS1 in 30 gastric cancer tissues and their corresponding adjacent non-cancerous tissues (ANCTs).
RESULTS: GAS8 was significantly down-regulated in tumor tissues compared to ANCTs (Expression ratio=0.29, p<0.001). Although the expression of GAS8-AS1 was higher in tumor tissues compared to ANCTs (Expression ratio=2.15), it did not reach the level of significance (p=0.12). GAS8 expression was associated with the site of the primary tumor (p=0.01). GAS8-AS1 expression was significantly higher in tumors with lymphatic/ vascular invasion compared with those without lymphatic/ vascular invasion (p=0.03). Significant pairwise correlations were detected between expression levels of GAS8 and GAS8-AS1 in tumor tissues and ANCTs. Based on the results of the ROC curve, the diagnostic power of transcript levels of GAS8 in gastric tissues was estimated to be 76%.
CONCLUSION: The current study underscores the roles of GAS8 and GAS8-AS1 in gastric carcinogenesis and warrants future functional studies to unravel the underlying mechanism of such contribution. ©2019 RIGLD, Research Institute for Gastroenterology and Liver Diseases.

Entities:  

Keywords:  GAS8; Gastric cancer; Long noncoding; RNA

Year:  2019        PMID: 31749921      PMCID: PMC6820832     

Source DB:  PubMed          Journal:  Gastroenterol Hepatol Bed Bench        ISSN: 2008-2258


Introduction

The growth arrest-specific 8 (GAS8) resides in a genomic region that is recurrently deleted in breast and prostate cancer. A long non-coding RNA (lncRNA), namely C16orf3 (GAS8-antisense 1 or GAS8-AS1) is located in the second intron of this gene and is transcribed in the opposite orientation (1). Although the function of its mouse homolog is associated with growth arrest, a previous study in breast cancer failed to find mutations in GAS8 and GAS8-AS1 in tumor DNA (1). GAS8 is a microtubule-binding protein that participated in the control of dynein function (2). Germline mutations in GAS8 gene have been associated with primary ciliary dyskinesia-33 (CILD33; 616726) (3). Although the studies on the role of GAS8 in carcinogenesis process are scarce, several recent studies have focused on expression level and role of the antisense gene (GAS8-AS1). This lncRNA has been identified as the second most commonly mutated gene in papillary thyroid carcinoma (PTC) samples of Chinese patients (4). Functional studies in PTC cell lines have shown the role of GAS8-AS1 in the suppression of cell proliferation and induction of autophagy via modulation of ATG5 expression (5). Moreover, plasma levels of this lncRNA were lower in PTC patients compared with its levels in nodular goiters. Notably, decreased GAS8-AS1 plasma concentration was associated with lymph node metastasis in these patients (6). The role of GAS8 and GAS8-AS1 in liver cancer has also been evaluated. GAS8-AS1 has been shown to increase GAS8 expression by preserving the active chromatin configuration in the GAS8 promoter. The consequent GAS8 over-expression has suppressed the malignant transformation of liver cells (7). Based on the proposed roles for GAS8 and GAS8-AS1 in the suppression of tumorigenesis and lack of data regarding their role in gastric carcinogenesis, in the current research, we assessed the expression of these genes in tissues obtained from gastric cancer patients.

Methods

Patients A total of 60 gastric tissue specimens, including gastric tumors (n=30) and adjacent non-cancerous tissues (ANCTs) (n=30) from the same patients, were acquired for the current study. Tissues were excised from patients during surgery as a routine step in their treatment. Patients had no previous chemo/radiotherapy before tissue removal. A pathologist confirmed the diagnosis. The ethical committee approved the study protocol of Shahid Beheshti University of Medical Sciences. All patients have signed written informed consent forms. Expression assay Expression studies were conducted on total RNA extracted from tissues using TRIzol™ Reagent (Invitrogen, Carlsbad, CA, USA). cDNA was synthesized from RNA using Applied Biosystems High-Capacity cDNA Reverse Transcription Kit. Expressions of GAS8 and GAS8-AS1 were quantified in the Rotor-Gene 6000 Real-Time PCR Machine using TaqMan® Universal PCR Master Mix (Applied Biosystems, Foster City, CA). HPRT1 was used as normalizer. The nucleotide sequences of primers and probes and PCR product length are summarized in table 1.
Table 1

The primers and probes sequences and PCR product length

Product lengthPrimer and probe lengthPrimer and probe sequenceGene name
8818F: AGCCTAAGATGAGAGTTC HPRT1
21R: CACAGAACTAGAACATTGATA
24FAM -CATCTGGAGTCCTATTGACATCGC- TAMRA
12122F: CTACAACGACATCACCCTCAAC GAS8
20R: GTTCTGCCCAGACACCTCTG
24FAM- TCTCCCTCTCCAGGTGGTCCTCCT -TAMRA
14420F: CCCATAGCCTGCCCCGTAAG GAS8-AS1
20R: CGTTGTCCCAGCATGTGAGC
24FAM -CCCGTCTCCCTGTCCGCTTCCCAT-TAMRA
Statistical analysis Expression levels of GAS8 and GAS8-AS1 in gastric tumor tissues and ANCTs were compared using REST 2009 software. The significance of the difference in their expression between these two sets of samples was assessed using the Student’s paired t-test. The association between clinical characteristics and relative expression of genes was evaluated using the Chi-square test and the Mann-Whitney test. The correlation between transcript levels of GAS8 and GAS8-AS1 was measured using the regression model. P<0.05 was considered significant. The diagnostic power of transcript levels of these genes was assessed by depicting the receiver operating characteristic curve (ROC).

Results

General demographic and clinical data The clinical and demographic data of study participants are summarized in table 2.
Table 2

The clinical and demographic data of study participants

VariablesValues
Age (mean ± SD (range))42.5±10.1(14-55)
GenderMale78.6%
Female21.4%
Site of the primary tumorCardia41.4%
Antrum31%
Body27.6%
Histologic grade237.5%
358.3%
44.2%
Lymphatic invasionYes82.8%
No17.2%
Vascular invasionYes82.8%
No17.2%
Peritoneal invasionYes62.1%
No37.9%
TNM stageI3.4%
II31%
III44.8%
IV20.8%
Histological formIntestinal46.7%
Diffuse53.3%
H. pylori infectionPositive50%
Negative50%
SmokingNever Smoker50%
Current Smoker13.6%
Ex-Smoker36.4%
Relative expressions of genes in tumor tissues vs. ANCTs GAS8 was significantly down-regulated in tumor tissues compared to ANCTs (Expression ratio=0.29, p<0.001). Although the expression of GAS8-AS1 was higher in tumor tissues compared to ANCTs (Expression ratio=2.15), it did not reach the level of significance (p=0.12) (Figure 1).
Figure 1

Relative expression of GAS8 and GAS8-AS1 in gastric cancer samples (n=30) and ANCTs (n=30) as designated by –delta CT values (CT HPRT1- CT target gene)

The primers and probes sequences and PCR product length The clinical and demographic data of study participants Association between genes expression and clinical features GAS8 expression was associated with the site of the primary tumor (p=0.01). Other variables were not related to the expression of either GAS8 or GAS8-AS1 (table 3).
Table 3

The results of association analysis between relative expressions of GAS8 and GAS8-AS1 in gastric cancer tissues compared to ANCTs and tumor features (Up/down regulation of genes was delineated according to the relative expression of each gene in tumor tissue compared to its paired ANCT).

GAS8 up-regulation GAS8 down-regulationP value GAS8-AS1 up-regulation GAS8-AS1 down-regulationP value
Age0.640.64
> 50 6 (28.6%)15 (71.4%)15 (71.4%)6 (28.6%)
≤ 50 3 (42.9%)4 (57.1%)4 (57.1%)3 (42.9%)
Gender0.640.14
Female1 (16.7%)5 (83.3%)2 (33.3%)4 (66.7%)
Male7 (31.8%)15 (68.2%)16 (72.7%)6 (27.3%)
Site of primary tumor0.010.18
Cardia1 (8.3%)11 (91.7%)6 (50%)6 (50%)
Antrum6 (66.7%)3 (33.3%)8 (88.9%)1 (11.1%)
Body2 (25%)6 (75%)5 (62.5%)3 (37.5%)
Histology grade0.330.61
22 (22.2%)7 (77.8%)6 (66.7%)3 (33.3%)
35 (35.7%)9 (64.3%)9 (64.3%)5 (35.7%)
41 (100%)0 (0%)0 (0%)1 (100%)
Lymphatic invasion10.63
Yes8 (33.3%)16 (66.7%)15 (62.5% )9 (37.5 %)
No1 (20%)4 (80%)4 (80%)1 (20%)
Vascular invasion10.63
Yes8 (33.3%)16 (66.7%)15 (62.5% )9 (37.5 %)
No1 (20%)4 (80%)4 (80%)1 (20%)
Peritoneal invasion10.69
Yes6 (33.3%)12 (66.7%)11 (61.1%)7 (38.9%)
No3 (27.3%)8 (72.7%)8 (72.7%)3 (27.3%)
Pathological T10.09
T2b1 (25%)3 (75%)2 (50%)2 (50%)
T35 (29.4%)12 (70.6%)9 (52.9%)8 (47.1%)
T42 (33.3%)4 (66.7%)6 (100%)0 (0%)
Pathological N0.150.35
N02 (22.2%)7 (77.8%)6 (66.7%)3 (33.3%)
N12 (22.2%)7 (77.8%)5 (55.6%)4 (44.4%)
N25 (62.5%)3 (37.5%)7 (87.5%)1 (12.5%)
N30 (0%)3 (100%)1 (33.3%)2 (66.7%)
TNM Staging0.910.45
I0 (0%)1 (100%)1 (100%)0 (0%)
II2 (22.2%)7 (77.8%)4 (44.4%)5 (55.6%)
III5 (38.5%)8 (61.5%)9 (69.2%)4 (30.8%)
IV2 (33.3%)4 (66.7%)5 (83.3%)1 (16.7%)
Histological form0.690.51
Intestinal5 (35.7%)9 (64.3%)8 (57.1%)6 (42.9%)
Diffuse4 (25%)12 (75%)11 (68.7%)5 (31.3%)
H pylori Infection10.7
Positive4 (26.7%)11 (73.3%)10 (66.7%)5 (33.3%)
Negative8 (33.3%)10 (66.7%)9 (60%)6 (40%)
Smoking11
Non-Smoker2 (18.2%)9 (81.8%)7 (63.6%)4 (36.4%)
Smoker1 (33.3%)2 (66.7%)2 (66.7%)1 (33.3%)
Ex- Smoker2 (25%)6 (75%)6 (75%)2 (25%)
The results of association analysis between relative expressions of GAS8 and GAS8-AS1 in gastric cancer tissues compared to ANCTs and tumor features (Up/down regulation of genes was delineated according to the relative expression of each gene in tumor tissue compared to its paired ANCT). Table 3. The results of association analysis between relative expressions of GAS8 and GAS8-AS1 in gastric cancer tissues compared to ANCTs and tumor features (up/down regulation of genes was delineated according to the relative expression of each gene in tumor tissue compared to its paired ANCT). We calculated relative values for expression of each gene in tumor tissues based on the following equation: Efficiency ^CT reference gene-Efficiency ^CT target gene. Subsequently, we assessed associations between these values and clinical variables using Mann–Whitney U test (table 4). GAS8-AS1 expression was significantly higher in tumors with lymphatic/ vascular invasion compared with those without lymphatic/ vascular invasion (p=0.03). No other significant associations were detected between expression levels of genes in tumor tissues and clinical data.
Table 4

Association between expression levels of genes in tumor tissues and clinical data (Mean (Standard deviation) values of Efficiency ^CT reference gene-Efficiency ^CT target gene are displayed)

GAS8 P value GAS8-AS1 P value
Age
<50 years old vs. ≥50 years old155.49 (546.31) vs. 10.86 (27.88)0.1190.5 (296.33) vs. 52.99 (87.34)0.29
Lymphatic invasion
Yes vs. No138.86 (511.58) vs. 1.72 (2.66)0.4194.61 (287.11) vs. 0. 2 (0. 2)0.03
Vascular invasion
Yes vs. No138.86 (511.58) vs. 1.72 (2.66)0.4194.61 (287.11) vs. 0. 2 (0. 2)0.03
H.pylori Infection
Positive vs. Negative212.72 (643.44) vs. 24.91 (58.45)0.25138.81 (347.67) vs. 12.72 (26.75)0.77
Tumor grade
Grade 2 vs. 3 and 4171.9 (628.01) vs. 80.7 (239.21)0.7258..47 (104.45) vs. 154.29 (443.77)0.77
Relative expression of GAS8 and GAS8-AS1 in gastric cancer samples (n=30) and ANCTs (n=30) as designated by –delta CT values (CT HPRT1- CT target gene) Association between expression levels of genes in tumor tissues and clinical data (Mean (Standard deviation) values of Efficiency ^CT reference gene-Efficiency ^CT target gene are displayed) Complete elements of ROC curve analysis (a: Youden index, b: Significance level P (Area=0.5), Estimate criterion: optimal cut-off point for gene expression) Correlations between expression of GAS8 and GAS8-AS1 in tumor tissues (A) and non-tumoral tissues (B). Correlations between expression levels of and in each set of samples Significant pairwise correlations were detected between expression levels of GAS8 and GAS8-AS1 in tumor tissues (Figure 2A) and ANCTs (Figure 2B).
Figure 2

Correlations between expression of GAS8 and GAS8-AS1 in tumor tissues (A) and non-tumoral tissues (B).

Receiver operating characteristic (ROC) curve analysis Based on the results of the ROC curve, the specificity and sensitivity values of GAS8 transcript levels were 0.8, and 0.63, respectively (Table 5). The diagnostic power of transcript levels of this gene was estimated to be 76%.
Table 5

Complete elements of ROC curve analysis (a: Youden index, b: Significance level P (Area=0.5), Estimate criterion: optimal cut-off point for gene expression)

Gene nameEstimate criterionAUCJaSensitivitySpecificityP-valueb
GAS8 > 2. 140.760.430.630.80< 0.000

Discussion

In the present project, we evaluated expression levels of GAS8 and GAS8-AS1 in gastric tissue samples and reported down-regulation of GAS8 in tumor tissues compared to ANCTs. GAS8 has been suggested as a tumor suppressor gene in some kinds of human cancers (4, 7). However, the role of this gene in gastric cancer has not assessed yet. Previous studies have evaluated the role of other GAS genes in gastric cancer. For instance, Wang et al. have reported down-regulation of GAS1 in gastric cancer patients, especially in patients with poor clinical outcomes. Functional studies have shown the role of this gene in the suppression of cell proliferation both in vitro and in vivo (8). On the other hand, GAS6 has been demonstrated to participate in a signaling pathway which promotes cellular survival and invasion of gastric cancer cells through the Akt pathway (9). We also detected an association between expression of GAS8 and the site of the primary tumor in a way that in nearly all of the cardia tumors, GAS8 was down-regulated compared with the paired ANCT. Such finding further emphasizes the difference in pathological features of the cardia and non-cardia gastric tumors (10) and potentiates GAS8 expression levels as a biomarker for assessment of malignancy status in the cardia region. Despite the previously reported role of GAS8-AS1 in the suppression of tumor growth in some malignancies (5), we could not detect any significant difference in its expression between tumor tissues and ANCTs. However, based on the relatively small sample size, our results are not conclusive. So, we suggest further study of its expression both in cancer cell lines and in clinical samples. This suggestion is also based on our observation regarding the higher expression of this lncRNA in tumors with lymphatic/ vascular invasion compared with those without lymphatic/ vascular invasion. We also detected significant correlations between expression levels of GAS8 and GAS8-AS1 in both tumor tissues and ANCTs. Such finding is concordant with the recently identified role of GAS8-AS1 inactivation of GAS8 expression.  GAS8-AS1 has a crucial role in keeping the GAS8 promoter in an active configuration by engaging mixed-lineage leukemia 1 (MLL1)/ WD-40 repeat protein 5 (WDR5) complex (7). Notably, we reported the diagnostic power of 76% for GAS8 in gastric cancer which was consistent with the significant down-regulation of this gene in gastric tumor tissues compared to ANCTs. The diagnostic potential of this gene has not previously assessed in human malignancies. However, a previous study evaluated the appropriateness of its antisense RNA in the differentiation of PTC from nodular goiters. Authors have reported that the diagnostic power of plasma levels of this lncRNA was 0.746 in the prediction of lymph node metastasis (6). A future perspective of the current research might be an evaluation of GAS8 transcript levels in the plasma samples of gastric cancer patients to appraise the potential in non-invasive detection of cancer. All-told, our data demonstrate dysregulation of GAS8 in gastric cancer in association with some tumor features and its potential as a marker for diagnosis of gastric cancer. Future functional studies are needed to verify our results.
  10 in total

1.  Growth arrest-specific gene 6 and Axl signaling enhances gastric cancer cell survival via Akt pathway.

Authors:  Tateo Sawabu; Hiroshi Seno; Tomoko Kawashima; Akihisa Fukuda; Yoshito Uenoyama; Mayumi Kawada; Naoki Kanda; Akira Sekikawa; Hirokazu Fukui; Motoko Yanagita; Hiroshi Yoshibayashi; Seiji Satoh; Yoshiharu Sakai; Toru Nakano; Tsutomu Chiba
Journal:  Mol Carcinog       Date:  2007-02       Impact factor: 4.784

2.  Clinicopathologic and protein expression differences between cardia carcinoma and noncardia carcinoma of the stomach.

Authors:  Min A Kim; Hye Seung Lee; Han-Kwang Yang; Woo Ho Kim
Journal:  Cancer       Date:  2005-04-01       Impact factor: 6.860

3.  LncRNA GAS8-AS1 inhibits cell proliferation through ATG5-mediated autophagy in papillary thyroid cancer.

Authors:  Yuan Qin; Wei Sun; Hao Zhang; Ping Zhang; Zhihong Wang; Wenwu Dong; Liang He; Ting Zhang; Liang Shao; Wenqian Zhang; Changhao Wu
Journal:  Endocrine       Date:  2018-01-11       Impact factor: 3.633

4.  Loss-of-Function GAS8 Mutations Cause Primary Ciliary Dyskinesia and Disrupt the Nexin-Dynein Regulatory Complex.

Authors:  Heike Olbrich; Carolin Cremers; Niki T Loges; Claudius Werner; Kim G Nielsen; June K Marthin; Maria Philipsen; Julia Wallmeier; Petra Pennekamp; Tabea Menchen; Christine Edelbusch; Gerard W Dougherty; Oliver Schwartz; Holger Thiele; Janine Altmüller; Frank Rommelmann; Heymut Omran
Journal:  Am J Hum Genet       Date:  2015-09-17       Impact factor: 11.025

5.  Growth arrest-specific gene 1 is downregulated and inhibits tumor growth in gastric cancer.

Authors:  Honghong Wang; Xiong Zhou; Yongguo Zhang; Hongwu Zhu; Lina Zhao; Linni Fan; Yingmei Wang; Yi Gang; Kaichun Wu; Zhiguo Liu; Daiming Fan
Journal:  FEBS J       Date:  2012-08-31       Impact factor: 5.542

6.  Characterization and screening for mutations of the growth arrest-specific 11 (GAS11) and C16orf3 genes at 16q24.3 in breast cancer.

Authors:  S A Whitmore; C Settasatian; J Crawford; K M Lower; B McCallum; R Seshadri; C J Cornelisse; E W Moerland; A M Cleton-Jansen; A J Tipping; C G Mathew; M Savnio; A Savoia; P Verlander; A D Auerbach; C Van Berkel; J C Pronk; N A Doggett; D F Callen
Journal:  Genomics       Date:  1998-09-15       Impact factor: 5.736

7.  The dynein regulatory complex is required for ciliary motility and otolith biogenesis in the inner ear.

Authors:  Jessica R Colantonio; Julien Vermot; David Wu; Adam D Langenbacher; Scott Fraser; Jau-Nian Chen; Kent L Hill
Journal:  Nature       Date:  2008-11-30       Impact factor: 49.962

8.  Whole exome sequencing identifies lncRNA GAS8-AS1 and LPAR4 as novel papillary thyroid carcinoma driver alternations.

Authors:  Wenting Pan; Liqing Zhou; Minghua Ge; Bin Zhang; Xinyu Yang; Xiangyu Xiong; Guobin Fu; Jian Zhang; Xilin Nie; Hongmin Li; Xiaohu Tang; Jinyu Wei; Mingming Shao; Jian Zheng; Qipeng Yuan; Wen Tan; Chen Wu; Ming Yang; Dongxin Lin
Journal:  Hum Mol Genet       Date:  2016-03-02       Impact factor: 6.150

9.  The long noncoding RNA GAS8-AS1 suppresses hepatocarcinogenesis by epigenetically activating the tumor suppressor GAS8.

Authors:  Wenting Pan; Nasha Zhang; Wenjuan Liu; Jibing Liu; Liqing Zhou; Yang Liu; Ming Yang
Journal:  J Biol Chem       Date:  2018-09-18       Impact factor: 5.157

10.  Plasma lncRNA GAS8-AS1 as a Potential Biomarker of Papillary Thyroid Carcinoma in Chinese Patients.

Authors:  Dongxue Zhang; Xin Liu; Bojun Wei; Guoliang Qiao; Tao Jiang; Zhenwen Chen
Journal:  Int J Endocrinol       Date:  2017-07-11       Impact factor: 3.257

  10 in total

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