Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2014 Apr 16;9(4):e94086. doi: 10.1371/journal.pone.0094086

Role of Genetic Variants of Autophagy Genes in Susceptibility for Non-Medullary Thyroid Cancer and Patients Outcome

Theo S Plantinga 1,2, Esther van de Vosse 3, Angelique Huijbers 1,2, Mihai G Netea 1, Leo A B Joosten 1, Jan W A Smit 1,2, Romana T Netea-Maier 1,2,*
Editor: David L Boone4
PMCID: PMC3989221  PMID: 24739953

Abstract

Autophagy is a central process in regulation of cell survival, cell death and proliferation and plays an important role in carcinogenesis, including thyroid carcinoma. Genetic variation in autophagy components has been demonstrated to influence the capacity to execute autophagy and is associated with disease susceptibility, progression and outcome. In the present study, we assessed whether genetic variation in autophagy genes contributes to susceptibility to develop thyroid carcinoma, disease progression and/or patient outcome. The results indicate that patients carrying the ATG5 single nucleotide polymorphisms rs2245214 have a higher probability to develop thyroid carcinoma (OR 1.85 (95% CI 1.04–3.23), P = 0.042). In contrast, no significant differences could be observed for the other genetic variants studied in terms of thyroid carcinoma susceptibility. Furthermore, none of the selected genetic variants were associated with clinical parameters of disease progression and outcome. In conclusion, genetic variation in ATG5, a central player in the autophagy process, is found to be associated with increased susceptibility for thyroid carcinoma, indicating a role for autophagy in thyroid carcinogenesis.

Introduction

Epithelial cell derived non-medullary thyroid cancer (NMTC) is the most common endocrine malignancy with a rising incidence during the last decades of which papillary thyroid carcinoma (PTC) and follicular thyroid carcinoma (FTC) represent the vast majority of cases [1][3]. Although some tumor-initiating events and susceptibility factors have been identified (radiation exposure, several genetic factors such as genetic rearrarangements or mutations in RET, PTEN and APC) [4], the pathogenesis of NMTC is not completely understood. A better understanding of the underlying molecular mechanisms involved in the development of NMTC could provide diagnostic and prognostic tools and could be a potential source of novel molecular targets for therapy.

Increasing evidence suggests that autophagy plays an important role in the pathophysiology of the malignant process. Autophagy is a complex process of auto-digestion in conditions of cellular stress, hypoxia or energy deprivation. Upon activation, an autophagosome is formed which engulfs cellular components such as organelles, ribosomes and protein aggregates, which are subsequently degraded by fusion of the autophagosome with a lysosome. These degradation products can be reused for building macromolecules and for cellular energy metabolism [5][7]. In addition, autophagy has an important role in the regulation of cell death, cell differentiation, induction of cell cycle arrest, and modulation of inflammation [8]. Autophagy may have both preventive and promotional effects on tumorigenesis, which is probably dependent on the type of autophagy initiation, tumor cell type and the stage of tumor development [9], [10]. Hence, it is important to identify the mechanisms that regulate autophagy in malignant transformed cells.

Essential components of the autophagy process are the evolutionary highly conserved ATG proteins, of which more than 30 have currently been identified in yeasts [11], [12]. Common germline genetic variants within genes coding for autophagy components were recently demonstrated to be associated with human disease, ranging from inflammatory bowel disease [13][15] to neurodegeneration [16], infectious diseases [17], [18] and allergy [19]. However, despite its central role in cancer initiation and progression, the role of common germline genetic variation within the autophagy system for cancer susceptibility, in particular NMTC, is largely unexplored. Recently, we described that a genetic variant in the autophagy gene ATG16L1 has an important impact on susceptibility to NMTC [20]. In the present study we broadened the aim of our investigation to assess the potential association of a much broader range of genetic variants in autophagy genes with susceptibility for NMTC, progression and outcome.

Materials and Methods

Ethics statement

The study was approved by the Ethical Committee of Radboud University Medical Centre, Nijmegen, The Netherlands. All subjects gave written informed consent. The study has been performed in accordance with the Declaration of Helsinki.

Thyroid carcinoma patients

All patients with histologically confirmed non-medullary epithelial cell derived NMTC who visited the outpatient clinic at the Division of Endocrinology of the Department of Internal Medicine, Radboud University Medical Centre, Nijmegen, The Netherlands, were asked to participate in genetic testing. The recruitment of the patients took place between November 2009 and June 2010. Primary treatment of the patients consisted of total or near-total thyroidectomy in all of the patients, and modified radical lymph node dissections in patients with confirmed nodal metastases. This was followed by ablation with radioactive iodine (I131, RAI) of residual thyroid tissue 4–6 weeks after surgery. If necessary, patients were treated multiple times with RAI to reach remission. Initial cure was defined as undetectable Thyroid Stimulating Hormone stimulated thyroglobulin (Tg) in the absence of anti-Tg antibodies and no evidence of loco-regional disease or distant metastasis on whole body iodine scans (WBS) and/or neck ultrasonography examinations at six to nine months after RAI ablation. Tumor recurrence was defined as new evidence of loco-regional disease or distant metastasis after successful primary therapy. Current disease status was defined as “in remission” in case of undetectable Tg in the absence of anti-Tg antibodies and no evidence of loco-regional disease or distant metastases at the last follow-up visit. Persistent disease status was defined as detectable Tg and/or evidence of loco-regional disease or distant metastases.

Demographic and clinical characteristics (tumor histology and TNM staging), treatment (number of RAI therapy sessions, cumulative RAI dose), follow-up time, the number of re-operations and external beam radiation therapy, if applicable, were retrieved from the patient's medical records (Table 1). The Dutch population based control group consisted of 189 healthy controls (48% women, mean age 61±10 (SD) years) having no evidence of thyroid cancer or other malignancies.

Table 1. Clinical, pathological and treatment characteristics of the thyroid carcinoma patient cohort.

Variable Total (±SD) Variable Total (%)
Patients (number) 139 Cum. RAI dose ≤3.7 GBq 35 (25.2%)
Gender (Female/Male) 104/35 Cum. RAI dose 3.8–7.4 GBq 50 (36.0%)
Age at diagnosis, years (mean ± SD) 38.9 (±12.8) Cum. RAI dose >7.4 54 (38.8%)

since diagnosis of NMTC (primary surgery).

Genotyping

Venous blood was drawn from the cubital vein of all participants into 10 ml EDTA tubes (Monoject). DNA was isolated from whole blood by using the isolation kit Puregene (Gentra Sytems, MN, USA), according to the manufacturer's protocol. Coding non-synonymous single nucleotide polymorphisms (SNPs) and a few SNPs in untranslated regions of the analyzed genes were selected based on previously published associations with human diseases and/or known functional effects on protein function or gene expression. A total of 10 SNPs in ATG2B, ATG5, ATG10, IRGM, LAMP1, LAMP3 and WIPI1 were genotyped (Table 2) with the use of a mass-spectrometry genotyping platform. All SNPs are in Hardy-Weinberg equilibrium in both patient and control groups. Quality control was performed by duplicating samples within and across plates and by the incorporation of positive and negative control samples.

Table 2. Genotyped SNPs in genes encoding components of the autophagy machinery.

Gene SNP ID Gene region Amino acid change
ATG2B rs9323945 Exon 19 Asn1124Asp
rs3759601 Exon 25 Gln1383Glu
ATG5 rs2245214 Intron 6 -
ATG10 rs3734114 Exon 1 Ser62Pro
rs1864183 Exon 4 Thr212Met
IRGM rs72553867 Exon 1 Thr94Lys
rs4958847 3′ UTR -
LAMP1 rs9577229 Exon 3 Ala204Val
LAMP3 rs482912 Exon 2 Ile318Val
WIPI1 rs883541 Exon 1 Thr31Ile

UTR = untranslated region.

Statistical analysis

The difference in genotype frequencies between the patients and the control group were analyzed in a dominant, gene dosage and recessive model using logistic regression. The effect of the genotypes on epithelial derived NMTC susceptibility was estimated by calculating odds ratios (ORs) and their 95% confidence intervals (95% CI) using the same statistical methods. We also performed χ2 analysis, and if applicable logistic regression, to determine whether tumor size, cumulative RAI dose, number of RAI treatments, disease status after thyroidectomy plus radio-ablation (if applicable) and current disease status were associated with the genotype of the analyzed autophagy genes. The following parameters were analyzed: 1) the tumor size at time of diagnosis was classified according to the 6th edition of the UICC TNM classification [21]; 2) the number of RAI treatments (including RAI ablation) as 0–1 treatments (e.g. no RAI ablation or exclusively ablation of thyroid remnants after (near) total thyroidectomy) or ≥2 treatments; 3) the cumulative RAI dosage as 0–3.7 GBq (0–100 mCi), 3.8–7.4 GBq (101–200 mCi) or >7.4 GBq (>200 mCi); 4) the disease status after ablation as remission or persistent and 5) the current disease status as remission, persistent or recurrent (after previously documented remission).

To test for differences between the three different genotype groups (homozygous wild-type (ancient), heterozygous, homozygous variant (derived)) in mean age at diagnosis, sex distribution or tumor histology (potential confounders), one-way ANOVA and Pearson χ2 analysis were used when appropriate. All statistical analyses were carried out with the SPSS software package (version 20.0). Overall, statistical tests were two-sided and a p-value below 0.05 was considered statistically significant.

Results

Genetic susceptibility analysis

From all the patients with NMTC who visited the outpatient clinic of the Radboud University Medical Centre, Nijmegen, The Netherlands between November 2009 and June 2010, 139 patients (104 women; mean age 38.9±12.8 (SD) years at time of blood sampling) agreed to participate in the study. The clinical and demographical characteristics of the NMTC patients are summarized in Table 1. No statistically significant differences were found between the patients with different autophagy genetic variant genotypes with respect to the mean age at diagnosis, gender or tumor histology (data not shown).

Statistical analysis of autophagy genetic variants for NMTC susceptibility revealed a statistically significant assocation with the ATG5 rs2245214 single nucleotide polymorphism. Analysis by applying a dominant model showed an increased risk of the CG/GG genotype for the diagnosis of NMTC compared to the CC genotype (OR = 1.85, P = 0.042), whereas no statistical significance was reached with either a recessive model or a gene dosage model (data not shown). For the other autophagy genetic variants studied, no statistically significant differences were observed concerning susceptibility to develop NMTC with any of the association models tested, i.e. recessive, gene dosage and dominant models (Table 3 and data not shown).

Table 3. Genetic distribution of genetic variants in autophagy genes in a cohort of thyroid carcinoma patients (N = 139) and healthy controls (N = 189).

Gene Polymorphism Allelic distribution OR (95% CI)* P-value*
ATG2B rs9323945 CC TC 0.65 (0.20–2.18) 0.547
Asn1124Asp Patients 133 (96%) 6 (4%)
Controls 184 (97%) 5 (3%)
rs3759601 CC GC GG 0.70 (0.44–1.11) 0.125
Gln1383Glu Patients 50 (36%) 67 (48%) 22 (16%)
Controls 54 (29%) 105 (55%) 30 (16%)
ATG5 rs2245214 CC CG GG 1.85 (1.04–3.23) 0.042
Intron 6 Patients 41 (30%) 67 (48%) 31 (22%)
Controls 66 (35%) 98 (52%) 25 (13%)
ATG10 rs3734114 CC TC TT 1.53 (0.98–2.37) 0.060
Ser62Pro Patients 9 (6%) 40 (29%) 90 (65%)
Controls 12 (6%) 74 (39%) 103 (55%)
rs1864183 AA GA GG 1.41 (0.85–2.33) 0.204
Thr212Met Patients 32 (23%) 68 (49%) 39 (28%)
Controls 46 (24%) 102 (54%) 41 (22%)
IRGM rs72553867 CC CA 1.59 (0.76–3.33) 0.256
Thr94Lys Patients 124 (89%) 15 (11%)
Controls 175 (93%) 14 (7%)
rs4958847 AA GA GG 0.88 (0.54–1.43) 0.620
3′ UTR Patients 1 (1%) 36 (26%) 102 (73%)
Controls 3 (2%) 44 (23%) 142 (75%)
LAMP1 rs9577229 CC TC 0.79 (0.05–12.78) 1.000
Ala204Val Patients 138 (99%) 1 (1%)
Controls 188 (99%) 1 (1%)
LAMP3 rs482912 AA GA GG 0.78 (0.51–1.20) 0.276
Ile318Val Patients 11 (8%) 63 (45%) 65 (47%)
Controls 18 (10%) 70 (37%) 101 (53%)
WIPI1 rs883541 AA GA GG 1.35 (0.88–2.08) 0.185
Thr31Ile Patients 74 (53%) 58 (42%) 7 (5%)
Controls 115 (61%) 66 (35%) 8 (4%)

* Dominant model.

Genotype - phenotype associations

Within the NMTC patient cohort, associations between genotype and tumor size (T stage), number of I131 treatments, cumulative I131 dose, disease status after ablation and current disease status were assessed using Pearson χ2 analysis. For the ATG5 rs2245214 single nucleotide polymorphism the results are depicted in Table 4. There were no statistically significant differences between the patients in the different genotype groups with respect to TNM staging, number of RAI treatments, cumulative RAI dose and current disease status (Table 4). Furthermore, no associations were observed for any of the other investigated autophagy genetic variants with these clinical parameters (data not shown).

Table 4. Summary of ATG5 rs2245214 genotype in relation to NMTC phenotype association parameters within the NMTC patient group (N = 139).

Variable CC (%) CG (%) GG (%) Total P-value
T stage 0.962
T1 13 (31%) 18 (27%) 10 (32%) 41
T2 12 (29%) 22 (33%) 11 (35%) 45
T3 6 (15%) 13 (19%) 4 (13%) 23
T4 4 (10%) 5 (8%) 2 (7%) 11
Tx 6 (15%) 9 (13%) 4 (13%) 19
N stage 0.176
N0 23 (56%) 33 (49%) 16 (52%) 72
N1 9 (22%) 27 (40%) 10 (32%) 46
Nx 9 (22%) 7 (11%) 5 (16%) 21
M stage 0.633
M0 26 (64%) 49 (73%) 21 (68%) 96
M1 1 (2%) 2 (3%) 0 3
Mx 14 (34%) 16 (24%) 10 (32%) 40
RAI treatments (n) * 0.856
0–1 24 (59%) 39 (58%) 19 (61%) 82
≥2 17 (41%) 28 (42%) 12 (39%) 57
Cumulative RAI dose (GBq) 0.626
≤3.7 8 (20%) 17 (25%) 10 (32%) 35
3.8–7.4 17 (41%) 22 (33%) 11 (36%) 50
>7.4 16 (39%) 28 (42%) 10 (32%) 54
Disease after ablation 0.872
Remission 25 (61%) 37 (55%) 17 (55%) 79
Persistent 16 (39%) 30 (45%) 14 (45%) 60
Current disease 0.230
Remission 32 (78%) 48 (72%) 27 (87%) 107
Persistent 7 (17%) 18 (27%) 3 (10%) 28
Recurrent 2 (5%) 1 (1%) 1 (3%) 4

*Including radio-ablation.

Calculated by Pearson χ2 analysis.

Discussion

The present study was performed to investigate whether common genetic variants in human autophagy genes are associated with NMTC susceptibility, severity and/or clinical outcome. We found that one of the selected genetic variants, the ATG5 rs2245214 single nucleotide polymorphism, is significantly associated with NMTC susceptibility, but not with NMTC severity or outcome. Furthermore, none of the other selected autophagy SNPs were associated with either susceptibility for NMTC, severity of the disease or clinical outcome.

All of the investigated proteins are involved in the autophagy machinery, some in the early phase of autophagosome formation (ATG2B, ATG5, ATG10, IRGM and WIPI1), the others in the late phase of autophagosome-lysosome fusion (LAMP1 and LAMP3) [22], [23]. In the process of autophagosome formation, ATG5 is recruited to take part in a large protein complex together with ATG12 and ATG16L1 to assemble the double membrane surrounding the autophagic cargo [24], [25]. Autophagy is active at basal levels in all cell types, where it is believed to play a housekeeping role in recycling intracellular components.

In terms of carcinogenesis, the role of autophagy is complex and depends on the type of cancer and the stage of the disease. Defects in autophagy may mediate carcinogenesis through accumulation of protein aggregates and damaged organelles. On the other hand, in apoptotic-competent cells autophagy is cytoprotective, as these cells depend on autophagy to cover their increased energy expenditure [9]. Despite the important role of autophagy for the pathogenesis of cancer, surprisingly little is known about the genetic variation in autophagy genes and its influence on carcinogenesis. In the present study, we assessed the effect of a broad range of genetic variants in autophagy genes for susceptibility to and treatment outcome of differentiated epithelial cell derived NMTC.

The present genetic association study revealed that the G allele of the ATG5 rs2245214 SNP is associated with increased susceptibility for developing NMTC. In contrast, this ATG5 SNP was not associated with NMTC severity and outcome as reflected by TNM staging, cumulative RAI dose and disease persistence. The fact that the genetic variants in the other selected autophagy genes are not associated with NMTC susceptibility and severity in our cohort of NMTC patients could indicate that either these proteins have no prominent role in NMTC carcinogenesis or the consequences of the genetic variants for the function of the respective proteins is relatively limited. However, replication studies in other NMTC cohorts should be performed to firmly demonstrate the lack of association of these genetic variants with NMTC susceptibility and severity.

Genetic variation in ATG5 has previously been linked to systemic lupus erythematosus (same SNP) [26], [27], asthma [19] and neurodegenerative disease [28], indicating the important role of ATG5 in human health and disease. However, the consequences of these genetic variants of ATG5 for the function of the protein are still unknown and warrant further investigation that should also include previously reported non-autophagic functions of ATG5 [29], [30].

Our previous report of the genetic association of the ATG16L1 T300A polymorphism (rs2241880) with NMTC susceptibility and severity [20] is now extended by the demonstrated association of the ATG5 rs2245214 polymorphism with NMTC susceptibility in the present study, confirming the role of autophagy in NMTC pathogenesis. Of note, no additive effects of the two SNPs in ATG5 and ATG16L1 were observed, indicating that the two SNPs act independently. Interestingly, both the role of autophagy in NMTC and the therapeutic potential of targeting autophagy for NMTC treatment are confirmed by other studies [10], [31][33].

Multiple studies have shown the important role of autophagy in NMTC pathogenesis, representing one of the most prominent downstream pathways of the often aberrantly regulated RAS/RAF/MEK/ERK and PI3K/Akt/mTOR pathways in NMTC, leading to inactivation of the autophagy machinery [34], [35]. In line with these studies, reactivation of autophagy by inhibition of the mTOR kinase results in resensitization of NMTC to chemo- and radiotherapy [33]. In contrast, also opposite effects of signalling through these oncogenes has been described that activate basal autophagy, indicating the complex and context-dependent effects of these pathways on autophagy [36][38]. Genetic variants of autophagy genes leading to either less or more functional autophagy machinery could subsequently result in abolished therapy sensitivity and increased carcinogenesis, providing a potential mechanism underlying the observed genetic associations. Additional studies are warranted to dissect the role of autophagy in either promoting or inhibiting carcinogenesis and therapy sensitivity in the context of NMTC subtypes to identify the most effective targeted therapies.

An important point to be considered is that of correction for multiple testing in this study. It has to be taken into account that, when applying correction for multiple testing, statistical significance of the ATG5 rs2245214 SNP association with NMTC susceptibility is lost. Another limitation that has to be taken into account is the missing data points for the clinical assessment of TNM stageing, which has decreased the statistical power to demonstrate significant differences. The findings obtained in the present study therefore need to be confirmed in larger prospective cohorts in order to draw firm conclusions regarding the definitive role of the genetic polymorphisms described here. Despite of this, it is nevertheless important to observe that the earlier association between ATG16L1 and NMTC provides indirect support for the findings of the present study.

In conclusion, we have identified the ATG5 rs2245214 genetic variant as a genetic susceptibility factor in thyroid carcinogenesis. These findings emphasize the therapeutic potential of modulation of ATG5 and ATG16L1, most probably as part of the autophagy machinery, as a novel treatment strategy for NMTC patients.

Funding Statement

TSP was supported by a Veni grant of the Netherlands Organization for Scientific Research (NWO). MGN was supported by a Vici grant of the Netherlands Organization for Scientific Research (NWO). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1. Kondo T, Ezzat S, Asa SL (2006) Pathogenetic mechanisms in thyroid follicular-cell neoplasia. Nat Rev Cancer 6: 292–306. [DOI] [PubMed] [Google Scholar]
  • 2. Jemal A, Siegel R, Ward E, Murray T, Xu J, et al. (2006) Cancer statistics, 2006. CA Cancer J Clin 56: 106–130. [DOI] [PubMed] [Google Scholar]
  • 3. Siegel R, Naishadham D, Jemal A (2013) Cancer statistics, 2013. CA Cancer J Clin 63: 11–30. [DOI] [PubMed] [Google Scholar]
  • 4. Nose V (2011) Familial thyroid cancer: a review. Mod Pathol 24 Suppl 2: S19–S33. [DOI] [PubMed] [Google Scholar]
  • 5. Dikic I, Johansen T, Kirkin V (2010) Selective autophagy in cancer development and therapy. Cancer Res 70: 3431–3434. [DOI] [PubMed] [Google Scholar]
  • 6. Levine B (2005) Eating oneself and uninvited guests: autophagy-related pathways in cellular defense. Cell 120: 159–162. [DOI] [PubMed] [Google Scholar]
  • 7. Mizushima N, Levine B, Cuervo AM, Klionsky DJ (2008) Autophagy fights disease through cellular self-digestion. Nature 451: 1069–1075. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Saitoh T, Fujita N, Jang MH, Uematsu S, Yang BG, et al. (2008) Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1beta production. Nature 456: 264–268. [DOI] [PubMed] [Google Scholar]
  • 9. Kondo Y, Kanzawa T, Sawaya R, Kondo S (2005) The role of autophagy in cancer development and response to therapy. Nat Rev Cancer 5: 726–734. [DOI] [PubMed] [Google Scholar]
  • 10. Lin CI, Whang EE, Abramson MA, Jiang X, Price BD, et al. (2009) Autophagy: a new target for advanced papillary thyroid cancer therapy. Surgery 146: 1208–1214. [DOI] [PubMed] [Google Scholar]
  • 11. Glick D, Barth S, Macleod KF (2010) Autophagy: cellular and molecular mechanisms. J Pathol 221: 3–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Nakatogawa H, Suzuki K, Kamada Y, Ohsumi Y (2009) Dynamics and diversity in autophagy mechanisms: lessons from yeast. Nat Rev Mol Cell Biol 10: 458–467. [DOI] [PubMed] [Google Scholar]
  • 13. Rioux JD, Xavier RJ, Taylor KD, Silverberg MS, Goyette P, et al. (2007) Genome-wide association study identifies new susceptibility loci for Crohn disease and implicates autophagy in disease pathogenesis. Nat Genet 39: 596–604. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Parkes M, Barrett JC, Prescott NJ, Tremelling M, Anderson CA, et al. (2007) Sequence variants in the autophagy gene IRGM and multiple other replicating loci contribute to Crohn's disease susceptibility. Nat Genet 39: 830–832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Henckaerts L, Cleynen I, Brinar M, John JM, Van SK, et al. (2011) Genetic variation in the autophagy gene ULK1 and risk of Crohn's disease. Inflamm Bowel Dis 17: 1392–1397. [DOI] [PubMed] [Google Scholar]
  • 16. Saitsu H, Nishimura T, Muramatsu K, Kodera H, Kumada S, et al. (2013) De novo mutations in the autophagy gene WDR45 cause static encephalopathy of childhood with neurodegeneration in adulthood. Nat Genet 45: 445–9, 449e1. [DOI] [PubMed] [Google Scholar]
  • 17. Raju D, Hussey S, Jones NL (2012) Crohn disease ATG16L1 polymorphism increases susceptibility to infection with Helicobacter pylori in humans. Autophagy 8: 1387–1388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Intemann CD, Thye T, Niemann S, Browne EN, Amanua CM, et al. (2009) Autophagy gene variant IRGM -261T contributes to protection from tuberculosis caused by Mycobacterium tuberculosis but not by M. africanum strains. PLoS Pathog 5: e1000577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Martin LJ, Gupta J, Jyothula SS, Butsch KM, Biagini Myers JM, et al. (2012) Functional variant in the autophagy-related 5 gene promotor is associated with childhood asthma. PLoS One 7: e33454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Huijbers A, Plantinga TS, Joosten LA, Aben KK, Gudmundsson J, et al. (2012) The effect of the ATG16L1 Thr300Ala polymorphism on susceptibility and outcome of patients with epithelial cell-derived thyroid carcinoma. Endocr Relat Cancer 19: L15–L18. [DOI] [PubMed] [Google Scholar]
  • 21.Sobin L.H., Wittekind Ch. UICC TNM Classification of Malignant Tumours. 6th ed. 2002.
  • 22. Lamb CA, Yoshimori T, Tooze SA (2013) The autophagosome: origins unknown, biogenesis complex. Nat Rev Mol Cell Biol 14: 759–774. [DOI] [PubMed] [Google Scholar]
  • 23. Morani F, Titone R, Pagano L, Galetto A, Alabiso O, et al. (2014) Autophagy and thyroid carcinogenesis: genetic and epigenetic links. Endocr Relat Cancer 21: R13–R29. [DOI] [PubMed] [Google Scholar]
  • 24. Plantinga TS, Joosten LA, van der Meer JW, Netea MG (2012) Modulation of inflammation by autophagy: consequences for Crohn's disease. Curr Opin Pharmacol 12: 497–502. [DOI] [PubMed] [Google Scholar]
  • 25. Virgin HW, Levine B (2009) Autophagy genes in immunity. Nat Immunol 10: 461–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Gateva V, Sandling JK, Hom G, Taylor KE, Chung SA, et al. (2009) A large-scale replication study identifies TNIP1, PRDM1, JAZF1, UHRF1BP1 and IL10 as risk loci for systemic lupus erythematosus. Nat Genet 41: 1228–1233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Taylor KE, Chung SA, Graham RR, Ortmann WA, Lee AT, et al. (2011) Risk alleles for systemic lupus erythematosus in a large case-control collection and associations with clinical subphenotypes. PLoS Genet 7: e1001311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Chen D, Zhu C, Wang X, Feng X, Pang S, et al. (2013) A novel and functional variant within the ATG5 gene promoter in sporadic Parkinson's disease. Neurosci Lett 538: 49–53. [DOI] [PubMed] [Google Scholar]
  • 29. Peng J, Zhang R, Cui Y, Liu H, Zhao X, et al. (2014) Atg5 regulates late endosome and lysosome biogenesis. Sci China Life Sci 57: 59–68. [DOI] [PubMed] [Google Scholar]
  • 30. Zhao Z, Fux B, Goodwin M, Dunay IR, Strong D, et al. (2008) Autophagosome-independent essential function for the autophagy protein Atg5 in cellular immunity to intracellular pathogens. Cell Host Microbe 4: 458–469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Lin CI, Whang EE, Lorch JH, Ruan DT (2012) Autophagic activation potentiates the antiproliferative effects of tyrosine kinase inhibitors in medullary thyroid cancer. Surgery 152: 1142–1149. [DOI] [PubMed] [Google Scholar]
  • 32. Zeybek ND, Gulcelik NE, Kaymaz FF, Sarisozen C, Vural I, et al. (2011) Rosuvastatin induces apoptosis in cultured human papillary thyroid cancer cells. J Endocrinol 210: 105–115. [DOI] [PubMed] [Google Scholar]
  • 33. Lin CI, Whang EE, Donner DB, Du J, Lorch J, et al. (2010) Autophagy induction with RAD001 enhances chemosensitivity and radiosensitivity through Met inhibition in papillary thyroid cancer. Mol Cancer Res 8: 1217–1226. [DOI] [PubMed] [Google Scholar]
  • 34. Arico S, Petiot A, Bauvy C, Dubbelhuis PF, Meijer AJ, et al. (2001) The tumor suppressor PTEN positively regulates macroautophagy by inhibiting the phosphatidylinositol 3-kinase/protein kinase B pathway. J Biol Chem 276: 35243–35246. [DOI] [PubMed] [Google Scholar]
  • 35. Castino R, Thepparit C, Bellio N, Murphy D, Isidoro C (2008) Akt induces apoptosis in neuroblastoma cells expressing a C98X vasopressin mutant following autophagy suppression. J Neuroendocrinol 20: 1165–1175. [DOI] [PubMed] [Google Scholar]
  • 36. Guo JY, Chen HY, Mathew R, Fan J, Strohecker AM, et al. (2011) Activated Ras requires autophagy to maintain oxidative metabolism and tumorigenesis. Genes Dev 25: 460–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Kim MJ, Woo SJ, Yoon CH, Lee JS, An S, et al. (2011) Involvement of autophagy in oncogenic K-Ras-induced malignant cell transformation. J Biol Chem 286: 12924–12932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Maddodi N, Huang W, Havighurst T, Kim K, Longley BJ, et al. (2010) Induction of autophagy and inhibition of melanoma growth in vitro and in vivo by hyperactivation of oncogenic BRAF. J Invest Dermatol 130: 1657–1667. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES