Abstract
BACKGROUND:
Papillary thyroid carcinoma (PTC) accounts for 80% of the thyroid malignancies that are characterised by slow growth and an excellent prognosis. Over-expression of SMAD4 protein restores TGF-β signalling, determines a strong increase in anti-proliferative effect and reduces invasive potential of tumour cells expressing it.
AIM:
The study aimed to analyse the immunohistochemical expression of TGF-β1 and its downstream phosphorylated SMAD4, element and of the inhibitory SMAD7 PTC variants and their association with the localisation of TAMs within the tumour microenvironment.
METHODS:
For this retrospective study we investigated 69 patients immunohistochemistry with antibodies against TGF-β, TGF – β-RII, SMAD4, SMAD7, CD68+ macrophages.
RESULTS:
Patients with low infiltration with CD68+ cells in tumour stroma has significantly shorter survival (median of 129.267 months) compared to those with high CD68+ cells infiltration (p = 0.034). From the analysis of CD68+ cells in tumour border and tumour stroma correlated with expression of TGF-β1 / SMAD proteins, we observed that the positive expression of TGF-β1 in tumour cytoplasm, significantly correlated with increased number of CD68+ cells in tumour border (X2 = 5,945; p = 0.015).
CONCLUSION:
TGF-β enhances motility and stimulates recruitment of monocytes, macrophages and other immune cells while directly inhibiting their anti-tumour effector functions.
Keywords: Thyroid cancer, TGF-β pathway, Immunohistochemical expression, Macrophages, Tumorigenesis
Introduction
The transforming growth factor beta (TGF-β) impact on the immune system and tumour progression has been studied in general and in the development of thyroid cancer [1] [2] [3] [4] [5]. TGF-β activation is induced by several mechanisms including the expression of αvβ6 integrin, chymase, elastase, MMP9 etc. [6] [7] [8]. Activated TGF-β, after binding the TGF-β receptor II (TGF-RII) efficiently trans -activates TGF-β receptor I (TGF-RI) and directly promotes tyrosine phosphorylation [9]. Then TGF-β signalling activates R-Smads (SMAD2 and SMAD3 localised in the cytoplasm), through phosphorylation and after that allows the assembly of complexes with SMAD4. These complexes re-localise to the nucleus where they can regulate gene transcription [10]. This is the active TGF–β/SMAD–dependent pathway [2]. On the opposite, SMAD7 antagonises TGF–β/Smad – dependent signalling, and induces TGF-β receptor degradation and thus preventing SMAD2 and SMAD3 phosphorylation. SMAD7 leads a loss of TGF–β/SMAD-dependent pathway growth inhibition [10].
Normally and in the early phase of cancer TGF–β/SMAD-dependent pathway signalling inhibits epithelial or cancer cell proliferation, and sometimes migration and invasiveness. These processes are studied in some cases with papillary thyroid cancer (PTC) [2] [11].
In late phases tumour cells overcome TGF-β-induced suppressor effects on cell proliferation, an on the other hand tumour cells themselves may respond to this cytokine including other effects that contribute to tumour progression such as epithelial-mesenchymal transition (EMT), invasion and metastases [1] [3]. TGF-β modulates the immune response that shields a tumour from immune surveillance [12] [13].
PTC accounts for 80 % of the thyroid malignancies that are characterised by slow growth and an excellent prognosis. However, 10–15 % of cases exhibit aggressive behaviour with hallmarks of local invasion, distant metastases, treatment resistance, and motility [14] [15].
TGF-β1 normally expressed and secreted by normal thyrocytes is a potent inhibitor of thyroid cell growth [16] [17]. In tumours, TGF-β expression has been detected in 52-100% of PTC cases [18]. SMAD4 is found to be expressed in 75% of PTC cases [11] [19] and every PTC cell line [19]. The SMAD7 expression has been detected in 80% of PTCs and PTC cell lines [11] [20]. It has been found that TGFβRII mRNA transcripts are mainly expressed in 55% of PTCs compared to other thyroid cancers [21]. However, TGFβRII protein and mRNA expression display reduced levels in thyroid cancer cells [17] [21].
TGF-β is abundant in the tumour microenvironment. It stimulates all cell populations including tumour cells, fibroblasts, and endothelial cells. Moreover, it enhances motility and recruitment of immune cells including monocytes, macrophages, NK cells, dendritic cells and T-cells while directly inhibiting their anti-tumour functions [22] [23].
We decided to analyse the immunohistochemical expression of TGF-β1 and its downstream phosphorylated SMAD4, element and of the inhibitory SMAD7 in PTC variants and their association with the localisation of TAMs within the tumour microenvironment.
Material and Methods
Tumor samples
A series of 69 PTC cases has been retrieved from the Archives of the University Hospital in Stara Zagora, Bulgaria. The group of patients with PTC include cases with lymph node metastases (n = 2 or 2.9%) and without metastases and without metastases (n = 67 or 97.1%). The mean follow-up of 152.58 months; range from 1.64 to 197.07 has been done. PTC tumours were classified by size into tumours 1cm or less in greatest dimension and tumours more than 1cm in greatest dimension. There are 9 (13.0%) men and 60 (87.0%) women with age ranging from 22 to 81 years (mean 51.84 ± 13.756). Among the 69 PTC studied, 6 are ≤ 1 cm in diameter, and 63 tumours are larger. According to AJCC classification [24], 42 of the patients (60.8%) are in stage I, 20 of the patients (29.0 %) are in stage II, 7 of the patients (10.2%) are in stage III, and no patients are in stage IV of the disease, (Table 1).
Table 1.
Demographic, clinical data, histological and pathological characteristics of the tumour specimens according to the papillary thyroid tumour type
Characteristics | PTC N (%) |
---|---|
Age (mean ± SD) | 54.17 ± 14.48 |
Gender | |
Males | 9 (13.0) |
Females | 60 (87.0) |
Pt classification | |
T1-T2 | 64 (92.7) |
T3-T4 | 5 (7.3) |
Lymph node metastases | |
N0 | 67 (97.1) |
N1 | 2 (2.9) |
Distant metastases | |
M0 | 69 (100) |
M1 | 0 (0) |
Ptnm staging | |
I stage | 42 (60.8) |
II stage | |
III stage | 7 (10.2) |
IV stage | 0 (0) |
Differentiation | |
Well | 69 (100) |
Poorly | 0 (0) |
Capsule | |
Non | 9 (13.0) |
Presence | 60 (87.0) |
* - ANOVA test; ** - χ2 test.
The study protocol has been approved by the Research Ethics Committee of University Hospital Stara Zagora.
All samples have been fixed in formalin and embedded in paraffin. Clinical data has been collected from the pathology reports, clinical files and Oncology Dispensary. H&E slides are retrieved from the archives, and they have been reviewed independently by two pathologists (MG and KI), and the tumours are classified using the WHO criteria [25]. Cases with doubtful PTC features are excluded.
Immunohistochemistry
Immunohistochemical staining is performed using the streptavidin-biotin technique as previously described [26]. Briefly, the endogenous peroxidase is blocked with 3% hydrogen peroxide in methanol for 10 min. Slides are incubated over night at room temperature with primary antibodies as follows: TGF -β (Clone sc-146) antibody in a dilution 1:50; monoclonal mouse anti-SMAD4 antibody (Clone sc -7966) in a dilution 1:100; monoclonal mouse anti-SMAD7 antibody (Clone sc-11392) in a dilution 1:100; monoclonal mouse anti-TGFβ RII antibody (Clone sc-400) in a dilution 1:100-all produced from Santa Cruz Biotechnology, CA and monoclonal mouse anti-CD68 antibody (Clone KP11 M0814) ready–to-use, has been purchased from DAKO, Glostrub, Denmark. Then the slides are incubated with biotinylated secondary antibody and streptavidin-peroxidase complex for 2 hours and room temperature. Tissue sections with adequate positive and negative controls are used in every set of straining. Finally, sections are weakly counterstained with Mayer’s hematoxylin.
Semi-quantitative assessment of TGF-β1, SMAD4, SMAD7, and TGFβRII
The TGF-β1 expression is evaluated in the cytoplasm of tumour cells, TGFβRII expression is evaluated in tumour cell cytoplasm and membrane. SMAD4 and SMAD7 are evaluated in tumour cell cytoplasm and tumour cell nucleus. The immunohistochemical expression is evaluated as absent (0) and present (+) in tumour cell cytoplasm and nuclei. The TGF-β1 expression is also evaluated in the centre and periphery of all thyroid cancers (PTC) and in the respective remaining thyroid tissue, which has been used as an internal control. TGF-β1 expression, detected in thyrocytes in the control tissue is considered as the basal expression.
The expression of SMAD4 and SMAD7 is evaluated in all PTCs and in the respective remaining thyroid tissue, which has been used as an internal control tissue and considered as a basal expression. The expression of SMAD4 and SMAD7 has been not evaluated in the centre and periphery since it is considered too difficult to distinguish and therefore assumed as similar. Their expression is also graduated in two categories: absent and present (weak, moderate and intense staining) regarding each subcellular location (nuclear and cytoplasmic) separately.
Macrophage counting
A single pathologist (MG), who is blinded to the clinical assessments of each case, has scored the cases by counting, the number of CD68 TAMs in five independent fields of vision in a tumour and the invasive front under a 400 x magnification. CD68+ cell counts are expressed as the mean ± standard deviation.
Patients’ slides with PTC assessed parameters
Clinicopathological parameters. On H&E slides the following parameters are evaluated: capsule formation, capsule infiltration, vascular invasion and from protocols – extra-thyroid extension, metastases, multicentricity and tumour size of micro-carcinomas are checked. Patients are followed up until January 2016.
Statistical analysis
The SPSS 16.0 program for Windows was used for statistical analysis. The chi-squared test and Fisher’s exact test were used to compare the immunohistochemical staining and the clinicopathological parameters. ANOVA, Student – t-test, Mann-Whitney U test and Kruskal-Wallis test were applied for comparing the continuous variables depending on the normality of the distribution. Correlations were tested by Spearmen and Person tests. Survival plots were drawn by the Kaplan–Meier test and survival periods were compared by log-rank test. The accepted level of significance was set at p < 0.05.
Results
Components of TGF-β1 pathway in tumour tissue
The TGF-β1 expression is detected mainly in tumour cell cytoplasm and is weakly demonstrated in tumour cell membranes. As compared to TGF-β1 expression, TGFβRII immune reaction is weaker in tumour cell cytoplasm (17.8%).
The TGF-β1 expression is not significantly correlated to any other clinical or pathological parameters. The cytoplasmic expression of TGF-β1 is directly proportional to the expression of both SMAD4 and SMAD7.
Lack of expression of TGF-β1 and SMAD7 in tumour cell cytoplasm is associated with capsule formations around tumour tissue. The SMAD4 nuclear expression is observed in 8.1% (n=4 patients) of tumours. There is not a significant difference between TGF-β1 expression at the periphery of each a tumour and in its centre.
The expression of SMAD4 and SMAD7 in tumour nuclei is insignificant. The SMAD4 strong cytoplasmic expression is observed in 11 patients (24.4%) and weak positivity in 26 patients (57.8%).
The SMAD7 strong cytoplasmic expression is observed in 3 patients (6.7%) and weak positivity in 27 patients (60%). TGF-β1, TGFβRII, SMAD4 and SMAD7 cytoplasmic expression is not significantly associated with any clinical or pathological parameters, (Figures 1-5).
Figure 1.
Positive expression of TGF-β1 in tumour border (× 100)
Figure 2.
Positive expression of TGF-β1 in tumour cytoplasm and tumour border in micro-papillary thyroid cancer (× 100)
Figure 3.
TGFβRII positive, strong expression (x 200)
Figure 4.
Positive expression of Smad4 in tumour nuclei (× 100)
Figure 5.
Strong positive expression of Smad7 in tumour cytoplasm (× 200)
Characterization of TAMs in PTC
The CD68 immunohistochemistry effectively stains macrophage cytoplasm. The TAM nuclei in PTC tissue are approximately 1/3 to ½ of the size of the nuclei of tumour cells. TAMs had cellular projections that wrap around tumour cells. TAMs and cancer cells appeared to be in close contact (Figure 6). TAMs formed distinctive canopy-like structures over some tumour cells.
Figure 6.
CD68-positive macrophages with canopy-like structures (x200)
Correlations between clinic-pathologic parameters, TGF-β1, TGFβRII, SMAD4 and SMAD7and CD68-positive TAM densities
As histologic grade (type) of thyroid cancer is an important determinant of tumour behaviour and clinical prognosis, it is important to explore the effect of TAMs and TGF-β1 signalling pathway proteins on some clinic-pathologic parameters. There is no statistical correlation between the presence of TAMs (high or low density) and extra-thyroidal extension, capsular invasion and vascular invasion. The intense TGF-β1, SMAD4 and SMAD7 expression in tumour cell cytoplasm correlated with increased CD68+ TAMs number in tumour stroma (and for TGF-β1 in the invasive margin). There were no differences between patients with or without increased CD68- positive TAMs in gender, age, tumour stage and grade (Table 3).
Table 2.
Associations between the presence of CD68-positive cells in tumour border and the invasion front of tumours with the expression of molecules involved TGF-β1 signalling pathway
Expression level of TGF-β1 signalling pathway molecules | № | CD68 in tumour border N (%) | CD68 in tumour stroma N (%) | ||
---|---|---|---|---|---|
Low numbers (less than 5.57-50th percentile) | High numbers (less than 5.57-50th percentile) | Low numbers (less than 11.80-50th percentile) | High numbers (less than 11.80-50th percentile) | ||
TGF-β1 in tumour stroma | |||||
Negative n (%) | 17 | 3 (17,64) | 14 (82,35) | 9 (52,94) | 8 (47,05) |
Positive n (%) | 34 | 21 (52,5) | 19 (47,5) | 20 (58,82) | 14 (41,17) |
P value | 0.015* | 0.689 | |||
TGF-β1 in tumour border | |||||
Negative n (%) | 22 | 8 (36,36) | 14 (63,63) | 5 (50,00) | 5 (50,00) |
Positive n (%) | 29 | 16 (55,17) | 13 (44,83) | 24 (58,53) | 17 (41,47) |
P value | 0.183 | 0.625 | |||
SMAD4 in tumour stroma | |||||
Negative n (%) | 17 | 7 (41,17) | 10 (58,82) | 10 (58,82) | 7 (41,17) |
Positive n (%) | 34 | 17 (70,83) | 7 (29,16) | 19 (55,88) | 15 (44,12) |
P value | 0.058** | 0.842 | |||
SMAD4 in tumour border | |||||
Negative n (%) | 27 | 15 (40,45) | 22 (59,45) | 10 (55,55) | 8 (44,44) |
Positive n (%) | 14 | 9 (64,28) | 5 (35,71) | 19 (57,57) | 14 (42,42) |
P value | 0.129*** | 0.889 | |||
SMAD7 in tumour stroma | |||||
Negative n (% | 30 | 13 (43,33) | 17 (56.66) | 18 (60,00) | 12 (40,00) |
Positive n (%) | 21 | 11 (52,38) | 10 (47,61) | 11 (52,38) | 10 (47,61) |
P value | 0.524 | 0.589 | |||
SMAD7 in tumour border | |||||
Negative n (%) | 25 | 17 (68,0) | 8 (32,0) | 15 (60,0) | 10 (40,0) |
Positive n (%) | 26 | 12 (46,15) | 14 (53,84) | 9 (34,61) | 17 (65,38) |
P value | 0.069** | 0.115*** |
X2- test:
The values in bold shown statistical significance;
Values in bold italic shown (border) importance;
The values in italic shown tendency.
Table 3.
Association between various clinic-pathological factors with the number of CD68-positive cells in tumour stroma and tumour border
Characteristics | № | CD68+ cell in tumour stroma mean ± SD | P value | CD68+cell in tumour border mean ± SD | P value* |
---|---|---|---|---|---|
Age (mean ± SD) | |||||
<53,28 | 30 | 22.85 ± 20.27 | 51.99 ± 9.49 | ||
>53.28 | 39 | 16.46 ± 21.30 | 0.227 | 34.51 ± 6.76 | 0.484 |
Gender | |||||
Males | 9 | 20.77 ± 23.08 | 15.26 ±18.48 | ||
Females | 60 | 19.71 ± 20.62 | 0.898 | 28.17 ± 48.17 | 0.467 |
Pt classification | |||||
T1-T2 | 64 | 20.82 ± 21.53 | 31.97 ± 46.31 | ||
T3-T4 | 5 | 35.23 ± 24.76 | 0.177 | 36.44 ± 71.83 | 0.565 |
Lymph node metastases | |||||
No | 2 | 30.55 ± 35.14 | 30.55 ± 35.14 | ||
Yes | 67 | 22.07 ± 21.87 | 0.385 | 22.07 ± 21.87 | 0.647 |
Ptnm staging | |||||
I=II | 62 | 20.29 ± 21.20 | 32.03 ± 47.56 | ||
III-IV | 7 | 33.89 ± 24.90 | 0.143 | 34.80 ± 58.76 | 1.000 |
Differentiation | |||||
Well | 69 | 26.16 ± 24.84 | 41.44 ± 54.90 | ||
Poorly | 1.000 | 0.452 | |||
Capsule | |||||
None | 9 | 19.50 ± 22.32 | 29.98 ± 54.91 | ||
Present | 60 | 24.33 ± 22.38 | 0.177 | 34.58 ± 49.11 | 0.937 |
Mann-Whitney U test.
From the analysis of CD68- positive cells in tumour border and tumour stroma correlated with expression of TGF-β1/SMAD proteins, we observed that the positive expression of TGF-β1 in tumour cytoplasm, significantly correlated with increased number of CD68-positive cells in tumour border (χ2 = 5.945; p = 0.015). Our work also revealed marginal significantly of Smad4 in tumor cytoplasm as compared to increased number of macrophages in tumor border (χ2= 3.606; p = 0.058), and a tendency for Smad7 in tumor border correlated with increased number of CD68-positive cells in tumor stroma (p = 0.115), (Table 2 and 3).
Patients with low infiltration with CD68-positive cells in tumour stroma have significantly shorter overall survival (median of 129.267 months) compared to those with high CD68-positive cells infiltration (median is not reached, p = 0.034, Log-rank test).
Discussion
Our study demonstrates that TGF-β1, SMAD4, SMAD7 and TGFβRII protein expression is observed in PTC tumour cells and these proteins are overexpressed in tumour cells as compared to the surrounding normal thyroid tissue. We couldn’t find any difference in the expression of TGF-β1 signalling proteins in tumour centre and periphery as did Eloy et al. (2012). Moreover, the number of patients with PTC is similar in both studies (75 patients in Eloy at al., 2012; 80 patients in our study). Our PTCs are mainly well-circumscribed, and we don’t subdivide them to well-circumscribed papillary thyroid cancer (WCPTC) and poorly-circumscribed papillary thyroid cancer (PCPTC), respectively as Eloy et al., 2012 do. These authors establish that in WCPTCs the differences of TGF-β1 expression from centre to the periphery are very insignificant. We detect that TGF-β1, SMAD4 and SMAD7expression in all cases of PTC and control tissues (except in 17 TGF-β1 negative cases) are similar to that reported previously [2] [11] [18]. SMAD4 cytoplasmic/nuclear expression is considered to be indicative of a functioning TGF-β (SMAD-dependent pathway) [11] [19]. In our study, it is demonstrated that all tumours expressed SMAD4 in their cytoplasm to a lesser extent than TGF-β1. It is known that the lower expression of SMAD4 was mainly responsible for the impairment TGF-β signalling [19]. In a previous study, the authors demonstrated that SMAD4 mutations are frequent in PTC [27] when sequencing of the entire coding part of the SMAD4 gene was performed. In later study D’Inzeo et al., 2010 hypothesised that the cause of lower expression of SMAD4 could be found in alteration of major components of translational machinery, which are frequently altered in human neoplasms [28]. The molecular mechanism that controls subcellular localisation and activation of Smad proteins is crucial for TGF-β signalling, and it is not yet fully clarified. It has been shown that SMAD4 nuclear expression is reduced in cancer [19]. However, SMAD4 undergoes continuous nucleocytoplasmic shuttling on its own, independently of TGF-β signalling [29]. The levels and the duration of residence in the nucleus of SMAD4 are important events for the response of TGF-β in the cells, and the intensity and duration of the TGF–β-Smad response is important for the signalling specificity. There we demonstrate the reduction of SMAD4 protein expression in PTC tumour cell cytoplasm and in nuclei which may be indicative of a loss of TGF-β cytostatic response (loss of tumour cell growth inhibition). Therefore the reduction of SMAD4 cytoplasmic and loss of nuclear protein expression is associated with the embarrassment of the TGF-β signalling pathway.SMAD7 nuclear expression was associated to loss of TGF–β/Smad–dependent pathway inhibition [2], and its expression is found to be at basal levels and lesser as compared to TGF-β1 and SMAD4 expression of the cases in the presents series-similarly to other reports [11]. TGF-βRII mRNA overexpression was detected in PTC cell lines [17]. In our study, TGF-βRII expression was lower as compared to TGF-β1 expression in tumour cells of PTC.
We demonstrate that all investigated from TGF–β/Smad pathway proteins in our study are associated with increased CD68 TAMs density in tumour stroma and the border of PTCs. It has been shown that large cohorts of cancers including thyroid cancer with high-density TAMs have poor prognoses and poor survival rates [30].
The impact of TGF-β signalling in the immune system was well documented. TGF-β promotes recruitment of monocytes, and it has been hypothesised that TGF-β can promote monocytes to macrophage differentiation [1]. Moreover, TGF-β stimulation of macrophages had been shown to attenuate macrophages associated suppression of CD4+ T cell proliferation. TGF-β signalling is needed for the alternative activation of macrophages to M2 status. It has been shown that lack of TGF-βRII leads to the defects in the expression of a set of genes that form the hallmark of the M2 polarising program [22].
Therefore, TGF-β enhances motility and stimulates recruitment of monocytes, macrophages and other immune cells while directly inhibiting their anti-tumour effector functions [31]. As a result, TGF-β associated inflammation can promote tumorigenesis due to secretion of growth-factors, cytokines, chemokines, etc. from the recruited immune cells that stimulated cancer cell growth, motility and invasion.
Footnotes
Funding: This research did not receive any financial support
Competing Interests: The authors have declared that no competing interests exist
References
- 1.Bierie B, Moses HL. Transforming growth factor beta (TGF-β) and inflammation in cancer cytokine. Growth Factor Rev. 2010;21(1):4959. doi: 10.1016/j.cytogfr.2009.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Eloy C, Santos J, Cameselle-Teiyeiro C, Soares P, Simoes-Sobrinho M. TGF-beta/Smad pathway and BRAF mutation play different roles in circumscribed and infiltrative papillary thyroid carcinoma. Virchows Arch. 2012;460:587–600. doi: 10.1007/s00428-012-1234-y. https://doi.org/10.1007/s00428-012-1234-y. PMid:22527019. [DOI] [PubMed] [Google Scholar]
- 3.Cunha LL, Marcello MA, Ward LS. The role of inflammatory microenvironment in thyroid carcinogenesis. Endocrine–Related Cancer. 2014;21:R85–R103. doi: 10.1530/ERC-13-0431. https://doi.org/10.1530/ERC-13-0431. PMid:24302667. [DOI] [PubMed] [Google Scholar]
- 4.Miyazono K, Ehata S, Koinuma D. Tumor-promoting function of transforming growth factor βin progression of cancer. Upsala J of Medical Sci. 2012;117:143–152. doi: 10.3109/03009734.2011.638729. https://doi.org/10.3109/03009734.2011.638729. PMid:22111550. PMCid:PMC3339546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Zhang YE. Non-Smad pathway in TGF-βsignaling. Cell Res. 2009;19(1):128–139. doi: 10.1038/cr.2008.328. https://doi.org/10.1038/cr.2008.328. PMid:19114990. PMCid:PMC2635127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Munger JS, Huang X, Kawakatsu H, Griffiths MJ, Dalton SL, Wu J, Pittet JF, Kaminski N, Garat C, Matthay MA, Rifkin DB, Sheppard D. The integrin alpha v beta 6 binds and activates latent TGF beta1: a mechanism for regulating pulmonary inflammation and fibrosis. Cell. 1999;96(3):319–328. doi: 10.1016/s0092-8674(00)80545-0. https://doi.org/10.1016/S0092-8674(00)80545-0. [DOI] [PubMed] [Google Scholar]
- 7.Taipale J, Lohi J, Saarinen J, et al. Human mast cell chymase and leukocyte elastase release latent transforming growth factor-beta 1 from the extracellular matrix of cultured human epithelial and endothelial cells. J Biol Chem. 1995;270:4689–4696. doi: 10.1074/jbc.270.9.4689. https://doi.org/10.1074/jbc.270.9.4689. PMid:7876240. [DOI] [PubMed] [Google Scholar]
- 8.Yu Q, Stamenkovic I. Cell surface-localized matrix metalloproteinase-9 proteolytically activates TGF-βand promotes tumor invasion and angiogenesis. Genes Dev. 2000;14(2):163–176. PMid:10652271. PMCid:PMC316345. [PMC free article] [PubMed] [Google Scholar]
- 9.Lee MK, Pardoux C, Hall MC, Lee PS, Warburton D, Qing J, Smith SM, Derynck R. TGF-beta activates Erk MAP kinase signalling through direct phosphorylation of ShcA. Embo J. 2007;26(17):3957–3967. doi: 10.1038/sj.emboj.7601818. https://doi.org/10.1038/sj.emboj.7601818. PMid:17673906. PMCid:PMC1994119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Elliot RL, Blobe GC. Role of transforming growth factor beta in human cancer. J Clin Oncol. 2005;23:2078–2093. doi: 10.1200/JCO.2005.02.047. https://doi.org/10.1200/JCO.2005.02.047. PMid:15774796. [DOI] [PubMed] [Google Scholar]
- 11.Matsuo SE, Fiore AP, Siguematu SM, Ebina KN, Friguglietti CU, Ferro MC, Kulcsar MA, Kimura ET. Expression of SMAD proteins, TGF-beta/active in signaling mediators, in human thyroid tissues. Arq Bras Endocrinol Metab. 2010;54:405–412. doi: 10.1590/s0004-27302010000400010. https://doi.org/10.1590/S0004-27302010000400010. [DOI] [PubMed] [Google Scholar]
- 12.Vendramini-Costa DB, Carvalho JE. Molecular link mechanisms between inflammation and cancer. Current Pharmaceutical Design. 2012;18:3831–3852. doi: 10.2174/138161212802083707. https://doi.org/10.2174/138161212802083707. PMid:22632748. [DOI] [PubMed] [Google Scholar]
- 13.Fabregat I, Fernando J, Mainez J, Sancho P. TGF-βsignaling in cancer treatment. Current Pharmaceutical Design. 2013;287(4):755–63. doi: 10.2174/13816128113199990591. [DOI] [PubMed] [Google Scholar]
- 14.Hay ID, Thompson GB, Grant CS, Bergstralh EJ, Gorman CA, Maurer MS, McIver B, Mullan BP. Papillary thyroid carcinoma managed at the Mayo Clinic during six decades (1940–1999): temporal trends in initial therapy and long-term outcome in 2444 consecutively treated patients. World J Surg. 2002;26:879–885. doi: 10.1007/s00268-002-6612-1. https://doi.org/10.1007/s00268-002-6612-1. PMid:12016468. [DOI] [PubMed] [Google Scholar]
- 15.Wang NI, Jiang R, Yang J-Y, Tang C, Yang L, Xu M, Jiang Q-F, Lin Z-M. Expression of TGF-β1, SNAI1 and MMP-9 is associated with lymph node metastasis in papillary thyroid carcinoma. J Mol Histol. 2014;45:391–399. doi: 10.1007/s10735-013-9557-9. https://doi.org/10.1007/s10735-013-9557-9. PMid:24276590. [DOI] [PubMed] [Google Scholar]
- 16.Colleta G, Cirafici AM, Di Carlo A. Dual effect of transforming growth factor beta on rat thyroid cells: inhibition of thyrotropin-induced proliferation and reduction of thyroid-specific differentiation markers. Cancer Res. 1989;49(13):3457–62. [PubMed] [Google Scholar]
- 17.Mincione G, Tarantelli C, Vianale G, Di Marcantonio MC, Cotellese R, Francomano F, Di Nicola M, Constantini E, Cichella A, Muraro R. Mutual regulation of TGF-β1, TβRII and ErbB receptors expression in human thyroid carcinomas. Exp. Cell Res. 2014;327:24–36. doi: 10.1016/j.yexcr.2014.06.012. https://doi.org/10.1016/j.yexcr.2014.06.012. PMid:24973511. [DOI] [PubMed] [Google Scholar]
- 18.Kimura ET, Kopp P, Zbaren J, Asmis LM, Ruchti C, Maciel RM, Studer H. Expression of Transforming Growth Factor β1, β2, and β3 in Multinodular Goiters and Differentiated Thyroid Carcinomas: A Comparative Study. Thyroid. 1999;9:119–125. doi: 10.1089/thy.1999.9.119. https://doi.org/10.1089/thy.1999.9.119. PMid:10090310. [DOI] [PubMed] [Google Scholar]
- 19.D’Inzeo S, Nicolussi A, Ricci A, Mancini P, Porcellini A, Nardi F, Coppa A. Role of reduced expression of SMAD4 in papillary thyroid carcinoma. J Mol Endocrinol. 2010;45:229–244. doi: 10.1677/JME-10-0044. https://doi.org/10.1677/JME-10-0044. PMid:20685810. [DOI] [PubMed] [Google Scholar]
- 20.Cerutti JM, Ebina KN, Matusio SE, Martins R, Maciel RM, Kimura ET. Expression of Smad4 and Smad7 in human thyroid follicular carcinoma cell lines. J Endocrinol Invest. 2003;26:516–521. doi: 10.1007/BF03345213. https://doi.org/10.1007/BF03345213. PMid:12952364. [DOI] [PubMed] [Google Scholar]
- 21.Lazzereschi D, Ranieri A, Mincione G, Taccogna S, Nardi F, Colletta G. Human malignant thyroid tumors displayed reduced levels of transforming growth factor beta receptor type II messenger RNA and protein. Cancer Res. 1997;57(10):2071–2076. PMid:9158007. [PubMed] [Google Scholar]
- 22.Gong D, Shi W, Yi S-J, Chen H, Groffen J, Heisterkamp N. TGFβsignaling plays a critical role in promoting alternative macrophage activation. BMC Immunology. 2012;13:31–41. doi: 10.1186/1471-2172-13-31. https://doi.org/10.1186/1471-2172-13-31. PMid:22703233. PMCid:PMC3406960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Li MO, Yisong Y, Wan SS, et al. Transforming-growth factor- beta regulation of immune responses. Annu Rev Immunol. 2006;24:99–146. doi: 10.1146/annurev.immunol.24.021605.090737. https://doi.org/10.1146/annurev.immunol.24.021605.090737. PMid:16551245. [DOI] [PubMed] [Google Scholar]
- 24.Lang BH, Lo CY, Chan WF, Lam KY, Wan KY. Staging systems for papillary thyroid carcinoma: a review and comparison. Ann Surg. 2007;245:366–378. doi: 10.1097/01.sla.0000250445.92336.2a. https://doi.org/10.1097/01.sla.0000250445.92336.2a. PMid:17435543. PMCid:PMC1877011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.DeLellis RA, Lloyd RV, Heitz PU, et al. Pathology and genetics of tumors of endocrine organs World Held Organization Clasifications of tumors. Lyon: IARC press; 2004. [Google Scholar]
- 26.Gulubova MV, Ananiev J, Yovchev Y, Julianov A, Karashmalakov A, Vlaykova T. The density of macrophages in colorectal cancer is inversely correlated to TGF- βexpression and patients’ survival. J Mol Histol. 2013;44:679–692. doi: 10.1007/s10735-013-9520-9. https://doi.org/10.1007/s10735-013-9520-9. PMid:23801404. [DOI] [PubMed] [Google Scholar]
- 27.Lazzereschi D, Nardi F, Turco A, Ottini L, D’Amico C, Mariani-Costantini R, Gulino A, Coppa A. A complex pattern of mutations and abnormal splicing of Smad4 is present in thyroid tumors. Oncogene. 2005;24:5344–5354. doi: 10.1038/sj.onc.1208603. https://doi.org/10.1038/sj.onc.1208603. PMid:15940269. [DOI] [PubMed] [Google Scholar]
- 28.Rosenwald IB. The role of translation in neoplastic transformation from a pathologists point of view. Oncogene. 2004;23:3230–3247. doi: 10.1038/sj.onc.1207552. https://doi.org/10.1038/sj.onc.1207552. PMid:15094773. [DOI] [PubMed] [Google Scholar]
- 29.Hill CS. Nucleocytoplasmic shuttling of Smad proteins. Cell Research. 2009;19:36–46. doi: 10.1038/cr.2008.325. https://doi.org/10.1038/cr.2008.325. PMid:19114992. [DOI] [PubMed] [Google Scholar]
- 30.Jung KY, Cho SW, Kim YA, Kim D, et al. Cancers with higher density of tumor-associated macrophages was associated with poor survival rates. J Pathol Translat Med. 2015;49:318–324. doi: 10.4132/jptm.2015.06.01. https://doi.org/10.4132/jptm.2015.06.01. PMid:26081823. PMCid:PMC4508569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Li Mo, et al. Transforming growth factor beta and the immune responses. Annu Rev Immunol. 2006;24:99–146. doi: 10.1146/annurev.immunol.24.021605.090737. https://doi.org/10.1146/annurev.immunol.24.021605.090737. PMid:16551245. [DOI] [PubMed] [Google Scholar]