Abstract
The long non-coding RNA (lncRNA) GAS8-AS1 is the second-most frequently altered gene, following the BRAF gene, in papillary thyroid carcinoma (PTC). We aimed to study the specificity and significance of genetic alterations in GAS8-AS1 in PTC. In this study, we reported the prevalence of genetic alterations of GAS8-AS1 in tissues of 48 nodular goiter, 573 papillary thyroid cancer, 95 colorectal cancer, 101 non-small cell lung cancer, 92 glioma, and 69 gastrointestinal stromal tumor patients, and in peripheral white blood cells of 286 healthy volunteers. We observed that the genomic sequence of GAS8-AS1 had a high frequency of genetic alterations in addition to the previously reported c.713A
Introduction
Papillary thyroid carcinoma (PTC) is the most common endocrine carcinoma with an increasing global incidence [1]. The most frequently affected hot spot in PTC is the BRAF V600E (p.Val600Glu) mutation [2]. Recently, another driver gene, long non-coding RNA GAS8 antisense RNA 1 (lncRNA GAS8-AS1), has been documented as the second-most frequently altered gene, following the BRAF gene in PTC [3]. GAS8-AS1 is located on chromosome 16 and is the RNA transcript of intron 2 of GAS8, which is a tumor suppressor gene [4]. Reported decrease in expression of GAS8-AS1 in PTC tissue [3] and plasma [5] has been associated with lymph node metastasis [5].
Two nucleotide substitutions, c.713A
In this study, we investigated whether germline alterations, including c.713A
Materials and methods
Participants and tumor samples
The protocols were approved by the Ethics Committee of the Sun Yat-Sen University Cancer Center (No. GZV01S-168), Guangdong, China. Written informed consent was obtained from all patients at their first visit. All subjects were unrelated individuals of Han Chinese descent enrolled between August 2017 and September 2018. The pathological diagnosis of the enrolled subjects was independently confirmed by two pathologists. Genetic variations were examined in tissues of 48 nodular goiter, 573 papillary thyroid cancer, 95 colorectal cancer, 101 non-small cell lung cancer, 92 glioma, and 69 gastrointestinal stromal tumor patients. In addition, genetic variations were detected in the peripheral white blood cells of 286 healthy volunteers.
Data collection
Medical records and surgical pathology reports were reviewed to obtain demographic parameters and pathological characteristics of the tumors for the enrolled patients. A questionnaire of basic demographic information was collected from each healthy volunteer. The pathological slides were independently reviewed by two pathologists to confirm the diagnosis. Concomitant diseases in PTC patients, such as nodular goiter and Hashimoto’s thyroiditis, were also reported. Information on primary tumor size, TNM (tumor-node-metastasis) stage, extrathyroid extension, and metastasis was assessed based on the latest version of the National Comprehensive Cancer Network on thyroid cancer recommendations (
Detection of genetic variations in GAS8-AS1, BRAF, and TERT
The genetic variations of GAS8-AS1 (c.713A
Association between GAS-AS1 genetic alterations and the risk of goiter and thyroid carcinoma
Association between GAS-AS1 genetic alterations and the risk of goiter and thyroid carcinoma
Substitution of c.713A
All statistical analyses were performed using the SPSS 16.0 software (SPSS, Chicago, IL, USA). The distribution of qualitative variables was detected using a
The authenticity of this article has been validated by uploading the key raw data onto the Research Data Deposit public platform (
Results
Specificities of GAS8-AS1 alterations in different samples
We analyzed the prevalence rates of GAS8-AS1 from different sample sources. We observed that substitution of c.713A
Association between GAS-AS1 genetic alterations and geographical factors in thyroid cancer patients
Association between GAS-AS1 genetic alterations and geographical factors in thyroid cancer patients
Genotypes of c.749G
Association between GAS-AS1 genetic alterations and clinicopatholoigic characteristics in thyroid cancer patients
Association between GAS-AS1 genetic alterations and pre-operative thyroid function
As shown in Table 2, the c.749G
Associations between GAS8-AS1 alterations and pathological features in thyroid cancer patients
The c.713A
As for c.749G
As for c.826G
Influence of GAS8-AS1 alterations on thyroid function in patients with thyroid cancer
We explored the effect of GAS8-AS1 genetic alterations on thyroid function (Table 4). Preoperative serum levels of fT3, fT4, TSH, ATPO, PTH, TG, and anti-TG from PTC patients were compared with the rare variant and common genotypes. No correlation was found between the c.713A
Discussion
An increasing number of studies have demonstrated the vital role of GAS8-AS1 in PTC, as well as in other malignancies, including colorectal cancer and hepatocellular carcinoma [4, 6, 7]. This gene encodes a lncRNA that may function as a tumor suppressor. In PTC cells, GAS8-AS1 inhibited cell growth through regulation of the miR-135b-5p/CCND2 axis [8]. A whole exome sequencing study in 2016 reported an association of c.713A
Our results highlight the prevalent involvement of genetic variations in GAS8-AS1 in PTC. The sequence of GAS8-AS1 had a high frequency of genetic alterations in addition to c.713A
We explored whether genetic alterations in GAS8-AS1 affected thyroid function in PTC patients before surgery. The present study is the first to correlate GAS8-AS1 genetic variations with TSH levels in thyroid cancer patients. Alterations of c.749G
Conclusion
In addition to the frequently studied c.713/c.714 loci, two novel variations at the c.749 and c.826 loci in GAS8-AS1 were found to be associated with multiple lesions in PTC patients. Moreover, they had an effect on the increase in serum TSH levels. Detection of GAS8-AS1 genetic alterations would be useful in the screening and assessment of PTC.
Footnotes
Acknowledgments
This work was funded by the National Natural Science Foundation of China [grant number 81602426 and 81802950]; and the Natural Science Foundation of Guangdong Province, China [grant number 2016A030310198].
Conflict of interest
The authors declare that there is no conflict of interest.
Supplementary data
Association between GAS-AS1 genetic alterations and other malignancies Abbreviations: CRC, colorectal cancer; GIST, gastrointestinal stromal tumor; NSCLC, non-small cell lung cancer.
Gene variations
Healthy control
CRC
NSCLC
Glioma
GIST
c.713A
0.364
0.471
0.740
0.382
AA
198 (69.2%)
61 (64.2%)
66 (65.3%)
62 (67.4%)
44 (63.8%)
AG
88 (30.8%)
34 (35.8%)
35 (34.7%)
30 (32.6%)
25 (36.2%)
c.749G
0.792
0.864
0.227
0.255
GG
126 (63.6%)
41 (66.1%)
40 (60.6%)
44 (71.0%)
25 (56.8%)
GA
65 (32.8%)
18 (29.0%)
24 (36.4%)
14 (22.6%)
15 (34.1%)
AA
7 (3.5%)
3 (4.8%)
2 (3.0%)
4 (6.5%)
4 (9.1%)
c.826G
0.728
0.785
0.271
0.820
AA
111 (56.1%)
38 (61.3%)
34 (51.5%)
41 (66.1%)
23 (52.3%)
GA
66 (33.3%)
19 (30.6%)
25 (37.9%)
14 (22.6%)
15 (34.1%)
GG
21 (10.6%)
5 (8.1%)
7 (10.6%)
7 (11.3%)
6 (13.6%)
Association between GAS-AS1 genetic alterations and clinicopatholoigic characteristics in thyroid cancer patients (did not reach significance)
Variants
Capsular invasion
OR (95% CI)
Calcium
OR (95% CI)
No
Yes
No
Yes
For A713G
Total PTC subjects
74 (62.7%)
286 (66.4%)
1 (ref)
288 (65.3%)
72 (66.7%)
1 (ref)
44 (37.3%)
145 (33.6%)
0.85 (0.55–1.29)
0.441
153 (34.7%)
36 (33.3%)
0.95 (0.61–1.48)
0.820
BRAF-wild type PTC
26 (57.8%)
69 (65.1%)
1 (ref)
79 (64.8%)
16 (55.2%)
1 (ref)
19 (42.2%)
37 (34.9%)
0.74 (0.36–1.52)
0.414
43 (35.2%)
13 (44.8%)
1.54 (0.67–3.52)
0.311
BRAF-mutant PTC
45 (66.2%)
206 (66.5%)
1 (ref)
199 (65.5%)
52 (70.3%)
1 (ref)
23 (33.8%)
104 (33.5%)
0.98 (0.56–1.72)
0.954
105 (34.5%)
22 (29.7%)
0.80 (0.46–1.39)
0.427
Without thyroid benign disease
18 (58.1%)
57 (66.3%)
1 (ref)
68 (64.8%)
7 (58.3%)
1 (ref)
13 (41.9%)
29 (33.7%)
0.71 (0.30–1.66)
0.427
37 (35.2%)
5 (41.7%)
1.32 (0.39–4.45)
0.659
With thyroid benign disease
56 (64.4%)
229 (66.4%)
1 (ref)
220 (65.5%)
65 (67.7%)
1 (ref)
31 (35.6%)
116 (33.6%)
0.92 (0.56–1.51)
0.742
116 (34.5%)
31 (32.3%)
0.91 (0.56–1.48)
0.706
For G749A
Total PTC subjects
1 (ref)
261 (71.5%)
55 (67.9%)
1 (ref)
71 (70.3%)
245 (71.0%)
0.98 (0.58–1.65)
0.930
84 (23.0%)
21 (25.9%)
1.19 (0.68–2.08)
0.544
24 (23.8%)
81 (23.5%)
0.89 (0.34–2.33)
0.817
20 (5.5%)
5 (6.2%)
1.22 (0.44–3.40)
0.708
BRAF-wild type PTC
27 (71.1%)
63 (73.3%)
1 (ref)
77 (73.3%)
13 (68.4%)
1 (ref)
10 (26.3%)
15 (17.4%)
0.66 (0.26–1.69)
0.390
21 (20.0%)
4 (21.1%)
1.13 (0.33–3.86)
0.841
1 (2.6%)
8 (9.3%)
3.04 (0.36–25.87)
0.309
7 (6.7%)
2 (10.5%)
1.65 (0.30–8.94)
0.565
BRAF-mutant PTC
40 (69.0%)
171 (69.5%)
1 (ref)
172 (69.6%)
39 (68.4%)
1 (ref)
13 (22.4%)
64 (26.0%)
1.16 (0.58–2.32)
0.671
62 (25.1%)
15 (26.3%)
1.07 (0.55–2.08)
0.839
5 (8.6%)
11 (4.5%)
0.51 (0.17–1.56)
0.241
13 (5.3%)
3 (5.3%)
1.01 (0.27–3.750
0.984
Without thyroid benign disease
21 (75.0%)
59 (76.6%)
1 (ref)
75 (77.3%)
5 (62.5%)
1 (ref)
4 (14.3%)
16 (20.8%)
1.53 (0.44–5.27)
0.503
17 (17.5%)
3 (37.5%)
2.84 (0.60–13.37)
0.186
3 (10.7%)
2 (2.6%)
0.20 (0.03–1.35)
0.098
5 (5.2%)
0 (0.0%)
/
/
With thyroid benign disease
50 (68.5%)
186 (69.4%)
1 (ref)
186 (69.4%)
50 (68.5%)
1 (ref)
20 (27.4%)
65 (24.3%)
0.87 (0.48–1.58)
0.655
67 (25.0%)
18 (24.7%)
1.01 (0.55–1.85)
0.982
3 (4.1%)
17 (6.3%)
1.46 (0.41–5.19)
0.563
15 (5.6%)
5 (6.8%)
1.32 (0.45–3.83)
0.615
For A826G
Total PTC subjects
41 (53.9%)
155 (54.2%)
1 (ref)
157 (54.1%)
39 (53.4%)
1 (ref)
26 (34.2%)
87 (30.4%)
0.90 (0.52–1.58)
0.715
89 (30.7%)
25 (34.2%)
1.13 (0.64–2.00)
0.665
9 (11.8%)
44 (15.4%)
1.27 (0.57–2.83)
0.565
44 (15.2%)
9 (12.3%)
0.85 (0.38–1.90)
0.692
BRAF-wild type PTC
15 (57.7%)
41 (59.4%)
1 (ref)
46 (58.2%)
10 (58.8%)
1 (ref)
10 (38.5%)
16 (23.2%)
0.61 (0.22–1.69)
0.342
22 (27.8%)
5 (29.4%)
1.11 (0.33–3.74)
0.865
1 (3.8%)
12 (17.4%)
3.78 (0.42–33.72)
0.234
11 (13.9%)
2 (11.8%)
0.92 (0.17–5.10)
0.922
BRAF-mutant PTC
25 (53.2%)
108 (52.4%)
1 (ref)
106 (52.7%)
27 (51.9%)
1 (ref)
15 (31.9%)
68 (33.0%)
1.08 (0.53–2.19)
0.842
65 (32.3%)
18 (34.6%)
1.06 (0.54–2.09)
0.858
7 (14.9%)
30 (14.6%)
1.00 (0.39–2.55)
0.999
30 (14.9%)
7 (13.5%)
0.94 (0.37–2.39)
0.901
Without thyroid benign disease
10 (52.6%)
33 (57.9%)
1 (ref)
39 (56.5%)
4 (57.1%)
1 (ref)
5 (26.3%)
17 (29.8%)
1.15 (0.32–4.14)
0.831
19 (27.5%)
3 (42.9%)
1.72 (0.33–8.99)
0.519
4 (21.1%)
7 (12.3%)
0.52 (0.12–2.27)
0.386
11 (15.9%)
0 (0.0%)
/
/
With thyroid benign disease
31 (54.4%)
122 (53.3%)
1 (ref)
118 (53.4%)
35 (53.8%)
1 (ref)
21 (36.8%)
70 (30.6%)
0.90 (0.48–1.69)
0.741
70 (31.7%)
21 (32.3%)
1.02 (0.55–1.90)
0.955
5 (8.8%)
37 (16.2%)
1.92 (0.69–5.37)
0.212
33 (14.9%)
9 (13.8%)
1.02 (0.44–2.36)
0.973
