Skip to main content
Oncotarget logoLink to Oncotarget
. 2017 Apr 6;8(35):58304–58308. doi: 10.18632/oncotarget.16870

The p.G534E variant of HABP2 is not associated with sporadic papillary thyroid carcinoma in a Polish population

Artur Kowalik 1,2, Danuta Gąsior-Perczak 3, Martyna Gromek 1, Monika Siołek 4, Agnieszka Walczyk 3, Iwona Pałyga 3, Małgorzata Chłopek 1, Janusz Kopczyński 5, Ryszard Mężyk 6, Aldona Kowalska 3, Stanisław Góźdź 7,8
PMCID: PMC5601653  PMID: 28938557

Abstract

Thyroid cancer is one of the most frequently diagnosed cancers of the endocrine system. There are no known genetic risk factors for non-medullary thyroid cancer, other than a small number of hereditary syndromes; however, approximately 5% of non-medullary thyroid cancer, designated familial non-medullary thyroid cancer, exhibits heritability. The p.G534E (c.1601G>A) variant of HABP2 was recently reported as a risk factor for familial non-medullary thyroid cancer, including papillary thyroid carcinoma. We analyzed the incidence of the c.1601G>A variant of HABP2 in a Polish population consisting of 326 cases of papillary thyroid carcinoma and 400 control individuals by DNA genotyping, performed by Sanger sequencing. The c.1601G>A variant was detected in 3.7% of sporadic papillary thyroid carcinoma cases and 4.7% of healthy controls, and we did not detect an association between this variant and sporadic papillary thyroid carcinoma risk (OR = 0.71, 95% CI: 0.33–1.51; p = 0.3758). Additionally, no significant associations were identified between clinical and pathological disease features, response to primary treatment, and clinical status at the end of the observation, and HABP2 c.1601G>A genotype. In conclusion, the p.G534E variant of HABP2 is not associated with sporadic papillary thyroid carcinoma risk in the Polish population.

Keywords: p.G534E, sporadic papillary thyroid carcinoma, HABP2, thyroid cancer, non-medullary thyroid cancer

INTRODUCTION

Thyroid cancer (TC) is one of the most frequently diagnosed endocrine malignancies worldwide [1] and its incidence is rising in Poland and elsewhere [2]. Other than hereditary syndromes (Cowden Syndrome, Carney Complex, Werner Syndrome), there are no known genetic risk factors for the development of non-medullary thyroid cancer (NMTC); however, approximately 5% of NMTC appears to exhibit heritability, and is classified as familial non-medullary thyroid cancer (FNMTC) [3]. Among NMTC cases, 85% are papillary thyroid cancer (PTC) [4]. Recently, Gara et al. described a multigenerational family cosegregating the c.1601G>A variant of HABP2 (rs7080536; p.G534E), which sparked hope of a new genetic marker that could be useful for TC patient stratification and clinical management. Their investigations also demonstrated a role for HABP2 as a tumor suppressor, suggesting that the identified variant is pathogenic [5]. Since then, several papers have reported an inability to confirm the importance of the p.G534E variant of HABP2 in the development of FNMTC [711], with only one report supportive of the association [6]. Although research has been conducted using data from European populations (English and Spanish), there is a lack of information about the prevalence of this variant in PTC patient populations in Eastern Europe [12, 13]. Therefore, we assessed the prevalence of the c.1601G>A variant of HABP2 in patients with sporadic PTC and a control Polish population, characterized by high homogeneity.

RESULTS

Using Sanger sequencing, we detected the c.1601G>A variant of HABP2 in 12/326 (3.7%) sporadic PTC patients; 11 (3.4%) carried the heterozygous (GA) and one (0.3%) the homozygous (AA) genotype at this locus. In the control group, the heterozygous GA genotype was detected in 19/400 (4.75%) patients with no homozygotes detected (Table 1). Statistical analysis indicated no significant difference in the incidence of the variant between the PTC and control populations (Fisher's exact test, p = 0.580902), and we did not detect an association between the c.1601G>A variant of HABP2 and risk of sporadic PTC by logistic regression analysis (OR = 0.71, 95% CI: 0.33–1.51, p = 0.3758).

Table 1. Details of PTC patients and controls.

PTC patients Controls Test Significance
Number of samples 326 400 Reference
Number with genotype, AA 1 0 NA NA
Number with genotype, GA 11 19 Logistic regression OR (95% CI), 0.71 (0.33–1.51); p = 0.3758
Percentage with genotypes GA+AA 3.7 4.7 Fisher's exact test (vs. GG genotype) p = 0.580902
Mean age (SD) 53.5 (13.5) 53.6 (9.9) Independent Sample t-test p = 0.8461
F:M 296:30 (90.8%:9.2%) 316:84 (70%:30%) χ2 p < 0.0001

F, female; M, male; SD, standard deviation; χ2, Chi-squared test, NA, not applicable.

In addition, we assessed the correlation between clinical and pathological disease features, response to primary treatment, and clinical status at the end of the observation and detected HABP2 genotypes (GG, GA, AA) in the PTC patient group. The results revealed no statistically significant differences (Table 2). In the group of sporadic PTC patients, only one patient (with a GG genotype at the HABP2 variant) was classified as FNMTC according to the algorithm applied by our Outpatient Genetic Clinic (FNMTC was defined as the presence of at least three cases of PTC in a family). In addition, the homozygous AA genotype was detected in only one 63-year-old female patient with sporadic PTC.

Table 2. Evaluation of associations between detected HABP2 genotypes (GG, GA, and AA) and clinical variables.

Characteristic Genotype Statistical significance
GG AA GA
Gender F/M 286/28 1/0 10/1 NS
Median tumor diameter (mm) 8 25 13 NS
Age (years) 50 62 37 NS
Tumor stage T1 228 0 7 NS
T2 19 0 1
T3 54 1 3
T4 13 0 0
Lymph node involvement N0 123 1 5 NS
N1 28 0 0
Nx 163 0 6
Metastasis M0 313 1 11 NS
M1 1 0 0
Extra-thyroidal invasion Yes 63 0 2 NS
No 251 1 9
Multifocality Yes 261 1 8 NS
No 53 0 3
PTC type Classical 276 1 7 NS
Follicular 35 0 4
Oxyphilic 3 0 0
Response to therapy Excellent 280 1 10 NS
Indeterminate 14 0 1
Biochemically incomplete 3 0 0
Structurally incomplete 17 0 0
Follow-up (years) Median (Min–Max) 7 (1–48) 6 (6–6) 5 (3–15) NS
Status of final follow-up No evidence of disease 295 1 10 NS
Biochemically persistent disease 17 0 1
Persistent structural disease 1 0 0
Recurrence 1 0 0
Death 0 0 0
Total 314 1 11

Associations between genotypes and clinical variables were assessed using χ2 and Kruskal-Wallis tests. NS, not statistically significant; F, female; M, male.

DISCUSSION

The basis for the inherited genetic predisposition of FNMTC is largely unknown. Recently, Gara et al. published the results of a study indicating a relationship between the c.1601G>A (rs7080536; G534E) variant in the HABP2 gene and PTC in a large multigenerational family [5]. All but one [6] subsequent report failed to confirm these results in analyses of dozens of families, including large families from different populations (Spain, USA, Australia, and the Middle East), that did not identify cosegregation of the c.1601G>A variant of HABP2 with PTC [11, 1315].

There is some controversy regarding the definition of FNMTC, which can be designated by as few as two cases of TC in the immediate family. Due to the high incidence of TC, it is possible for two cases of the disease to be a chance occurrence; hence diagnosis of FNMTC on the basis of only two cases may be incorrect [16, 17], while extension of the definition to require a minimum of three cases in a family improves specificity [18]. In the one report supportive of the HABP2 association [6], two of four analyzed families included more than two cases of PTC (first- or second-degree relatives), while in the remaining FNMTC families there were only two cases of PTC, including one in a cousin (second-degree relative). In the present study, only one patient was from a FNMTC family, and we did not detect the c.1601G>A variant of HABP2 in the proband.

Gara et al. [5] detected the p.G534E variant at a frequency of 4.7% (19 of 423) in data from multi-ethnic sporadic PTC patients in the Cancer Genome Atlas (TCGA), compared with 0.7% of those with unknown disease status. Immediately following their report, several groups were unable to repeat their findings; the reported frequencies of the p.G534E polymorphism in different NMTC populations (from China, the Middle East, Columbia, the UK, Australia, and the USA) vary from 0% to 7.8%. Similarly, the frequencies of the polymorphism in control groups from the same populations range from 0% to 9.3%. In all of these populations, no significant differences were identified in the frequency of the p.G534E variant of HABP2 between NMTC and control groups [9, 1115, 19]. In the present study of patients with sporadic PTC, the c.1601G>A variant of HABP2 was detected in 3.7% of cases, while it was present in 4.75% of controls. Hence, we did not detect an association between the p.G534E variant of HABP2 and sporadic PTC risk; nor was there any association of this variant with any clinical variables included in the study (Tables 1 and 2). Similarly, other published studies failed to detect associations of the variant with NMTC risk or other clinical variables [12, 19]. The reported absence of the p.G534E variant of HABP2 in a Middle Eastern pediatric and juvenile NMTC population (5–26 years old) provides additional evidence that the variant is not associated with this disease [13, 15].

According to 1000 genomes project data (http://www.1000genomes.org/), the c.1601G>A variant of HABP2 is present in 5.2% of Europeans. In the present study of a Polish population, the variant frequency was 4.75%, placing it in the middle of the range of values observed in other European populations (Finnish, 7.1%; British, 9.9%; Iberian, 2.8%; and Toscani (Italian), 2.8%).

In conclusion, based on our results, the p.G534E variant of HABP2 is not associated with sporadic PTC and is not a risk factor for PTC development in a homogeneous Eastern European Polish population.

MATERIALS AND METHODS

Patients and controls

This study included 326 patients with sporadic PTC. Their mean age at diagnosis was 53.5 years (SD, 13.5 years), and one tenth of them were male (Table 1). A group of 400 healthy individuals (mean age, 53.6 years; SD, 9.9 years) was included in the study as a control cohort. There was no significant difference in age between cases and controls (p = 0.8461). All cases and controls were recruited at the Holycross Cancer Center in Kielce. All study participants provided written informed consent before participating in the research. All study procedures were and performed according to Declaration of Helsinki.

Materials

Genomic DNA isolated from whole blood samples, obtained from all study participants, was used for genetic analyses. Material was extracted using a commercial DNA extraction kit (Genomic Micro AX BLOOD Gravity; A & A Biotechnology, Gdańsk, Poland), according to the manufacturer's instructions. DNA quality and purity were verified using a NanoDrop spectrophotometer (Thermo Fisher Scientific).

Sanger sequencing

HABP2 mutation analysis was performed by sequencing of PCR products. A target DNA region (181 bp) was amplified using KAPA SYBR Fast DNA Polymerase (KAPA BIOSYSTEMS) and the following oligonucleotide primer pair: forward 5′-TCTCTGGTTCACGAGGATGA-3′ and reverse 5′-GGCTTTGATCCAATTCAGGA-3′. The amplification conditions consisted of an initial denaturation at 95°C for 3 min, then 35 cycles of denaturation at 95°C for 30 s, annealing at 65°C for 30 s, and extension at 72°C for 20 s, followed by a final extension at 72°C for 2 min. PCR was performed using a Veriti Thermal Cycler (AppliedBiosystems). PCR products were separated by microchip electrophoresis, using MultiNA system (Shimadzu Corporation, SHIM-POL, Poland). Amplified material was purified using FastAP and Exonuclease I (Thermo Fisher Scientific), according to the manufacturer's protocol. Sequencing was carried out using the same forward primer that was used for PCR amplification (see above). The primer was diluted at a ratio of 8:42 μl in water. Other sequencing reagents were as follows: BigDye® Terminator v1.0 or v3.0 and 5X Sequencing Buffer (Thermo Fisher Scientific). The sequencing reaction was performed using the Veriti Thermal Cycler (Applied Biosystems) and the following conditions: 25 cycles at 96°C for 10 s, 50°C for 5 s, and 60°C for 1 min 45 s. The reactions were then purified using a BigDye XTerminator® Purification Kit (SAM Solution and XTerminator Solution; Thermo Fisher Scientific). Next, products were separated and analyzed using an ABI 3130 Genetic Analyzer (Applied Biosystems). The resulting DNA sequences were analyzed using BLAST (www.blast.ncbi.nlm.nih.gov).

Statistical analyses

The mean age of cases and controls was compared using an Independent Samples t-test. To assess the predictive power of the genotypes for PTC risk (odds ratios, ORs), logistic regression was performed. Differences in the frequencies of genotypes between cases and controls were determined using a two-tailed Fisher's exact test. Associations between genotypes and clinical variables were assessed using χ2 and Kruskal-Wallis tests. Association between sexes and study groups was assessed usingχ2. Statistical significance was set at p < 0.05.

Acknowledgments

We thank all patient and volunteer blood donors for their contributions.

Abbreviations

FNMTC

familial non-medullary thyroid cancer

NMTC

non-medullary thyroid cancer

PTC

papillary thyroid carcinoma

TC

thyroid cancer

Author contributions

Artur Kowalik (AK) conceived the project, designed the experiments, interpreted genetic and clinical data, and wrote the manuscript. Danuta Gąsior-Perczak recruited patients, collected clinical data, and wrote the manuscript. AK designed the genetic analysis, with assistance from Malgorzata Chlopek and Martyna Gromek (MG). MG conducted genetic studies, collected and prepared genetic data for analysis and wrote the manuscript. Monika Siołek, Agnieszka Walczyk, and Iwona Pałyga were responsible for patient recruitment and clinical data collection. Janusz Kopczyński was responsible for clinical data collection. Ryszard Mężyk performed statistical analyses. Aldona Kowalska conceived the project and wrote the manuscript. Stanisław Góźdź conceived the project and was responsible for final approval of the manuscript. All authors read and approved the final manuscript.

CONFLICTS OF INTEREST

The authors declare no conflicts of interest.

FUNDING

The study was financially supported by the Holycross Cancer Center.

REFERENCES

  • 1.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66:7–30. doi: 10.3322/caac.21332. [DOI] [PubMed] [Google Scholar]
  • 2.Kowalska A, Walczyk A, Kowalik A, Pałyga I, Trybek T, Kopczyński J, Kajor M, Chrapek M, Pięciak L, Chłopek M, Góźdź S, Kamiński G. Increase in papillary thyroid cancer incidence is accompanied by changes in the frequency of the BRAF V600E mutation: a single-institution study. Thyroid. 2016;26:543–551. doi: 10.1089/thy.2015.0352. [DOI] [PubMed] [Google Scholar]
  • 3.Vriens MR, Suh I, Moses W, Kebebew E. Clinical features and genetic predisposition to hereditary nonmedullary thyroid cancer. Thyroid. 2009;19:1343–1349. doi: 10.1089/thy.2009.1607. [DOI] [PubMed] [Google Scholar]
  • 4.Xing M. Molecular pathogenesis and mechanisms of thyroid cancer. Nat Rev Cancer. 2013;13:184–199. doi: 10.1038/nrc3431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gara SK, Jia L, Merino MJ, Agarwal SK, Zhang L, Cam M, Patel D, Kebebew E. Germline HABP2 mutation causing familial nonmedullary thyroid cancer. N Engl J Med. 2015;373:448–455. doi: 10.1056/NEJMoa1502449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Zhang T, Xing M. HABP2 G534E mutation in familial nonmedullary thyroid cancer. J. Natl Cancer Inst. 2016;108:djv415. doi: 10.1093/jnci/djv415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Sponziello M, Durante C, Filetti S. HABP2 mutation and nonmedullary thyroid cancer. N Engl J Med. 2015;373:2085–2086. doi: 10.1056/NEJMc1511631. [DOI] [PubMed] [Google Scholar]
  • 8.Tomsic J, He H, de la Chapelle A. HABP2 mutation and nonmedullary thyroid cancer. N Engl J Med. 2015;373:2086. doi: 10.1056/NEJMc1511631. [DOI] [PubMed] [Google Scholar]
  • 9.Zhao X, Li X, Zhang X. HABP2 mutation and nonmedullary thyroid cancer. N Engl J Med. 2015;373:2084. doi: 10.1056/NEJMc1511631. [DOI] [PubMed] [Google Scholar]
  • 10.Zhou EY, Lin Z, Yang Y. HABP2 mutation and nonmedullary thyroid cancer. N Engl J Med. 2015;373:2084–2085. doi: 10.1056/NEJMc1511631. [DOI] [PubMed] [Google Scholar]
  • 11.Tomsic J, Fultz R, Liyanarachchi S, He H, Senter L, de la Chapelle A. HABP2 G534E variant in papillary thyroid carcinoma. PLoS One. 2016;11:e0146315. doi: 10.1371/journal.pone.0146315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Sahasrabudhe R, Stultz J, Williamson J, Lott P, Estrada A, Bohorquez M, Palles C, Polanco-Echeverry G, Jaeger E, Martin L, Magdalena Echeverry M, Tomlinson I, Carvajal-Carmona LG TCUKIN. The HABP2 G534E variant is an unlikely cause of familial non-medullary thyroid cancer. J Clin Endocrinol Metab. 2015. p. jc20153928. [DOI] [PMC free article] [PubMed]
  • 13.Ruiz-Ferrer M, Fernández RM, Navarro E, Antiñolo G, Borrego S. G534E variant in HABP2 and nonmedullary thyroid cancer. Thyroid. 2016;26:987–988. doi: 10.1089/thy.2016.0193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Weeks AL, Wilson SG, Ward L, Goldblatt J, Hui J, Walsh JP. HABP2 germline variants are uncommon in familial nonmedullary thyroid cancer. BMC Med Genet. 2016;17:60. doi: 10.1186/s12881-016-0323-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Alzahrani AS, Murugan AK, Qasem E, Al-Hindi H. HABP2 gene mutations do not cause familial or sporadic non-medullary thyroid cancer in a highly inbred middle Eastern population. Thyroid. 2016;26:667–671. doi: 10.1089/thy.2015.0537. [DOI] [PubMed] [Google Scholar]
  • 16.Charkes ND. On the prevalence of familial nonmedullary thyroid cancer in multiply affected kindreds. Thyroid. 2006;16:181–186. doi: 10.1089/thy.2006.16.181. [DOI] [PubMed] [Google Scholar]
  • 17.Wang X, Cheng W, Li J, Su A, Wei T, Liu F, Zhu J. Endocrine tumours: familial nonmedullary thyroid carcinoma is a more aggressive disease: a systematic review and meta-analysis. Eur. J. Endocrinol. 2015;172:R253–262. doi: 10.1530/EJE-14-0960. [DOI] [PubMed] [Google Scholar]
  • 18.Nagy R, Ringel MD. Genetic predisposition for nonmedullary thyroid cancer. Horm Cancer. 2015;6:13–20. doi: 10.1007/s12672-014-0205-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bohórquez ME, Estrada AP, Stultz J, Sahasrabudhe R, Williamson J, Lott P, Duque CS, Donado J, Mateus G, Bolaños F, Vélez A, Echeverry M, Carvajal-Carmona LG. The HABP2 G534E polymorphism does not increase nonmedullary thyroid cancer risk in Hispanics. Endocr Connect. 2016;5:123–127. doi: 10.1530/EC-16-0017. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Oncotarget are provided here courtesy of Impact Journals, LLC

RESOURCES