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] ] ] 2 => array:3 [ "nombre" => "Alberto" "apellidos" => "de Leiva Hidalgo" "referencia" => array:3 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] ] "afiliaciones" => array:3 [ 0 => array:3 [ "entidad" => "Servicio de Endocrinología y Nutrición, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain" "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Centro de Investigación Biomédica en Red (CIBER-BBN) ISCIII, Ministerio de Ciencia e Innovación, Madrid, Spain" "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Universidad Autónoma de Barcelona, Spain" "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Biomarcadores moleculares implicados en el proceso de desdiferenciación tumoral del carcinoma de tiroides de origen epitelial: perspectivas" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Differentiated thyroid carcinoma is the most common endocrine neoplasm, with an increasing incidence in recent years.<a class="elsevierStyleCrossRefs" href="#bib0005"><span class="elsevierStyleSup">1,2</span></a> More than 90% of these tumors have their origin in follicular cells, and they are classified as well differentiated carcinoma (DTC), including the papillary (PTC) and follicular (FTC) variants, and undifferentiated or anaplastic carcinoma (ATC). The latter is one of the most aggressive tumors, with a mean 5-month survival rate from the time of diagnosis and a one-year survival rate of only 20%.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Most well differentiated tumors have a favorable clinical course, with survival rates close to 90% 10 years after diagnosis.<a class="elsevierStyleCrossRefs" href="#bib0020"><span class="elsevierStyleSup">4–6</span></a> There is however a proportion of tumors with more aggressive behavior including local recurrence and metastases either at diagnosis (in less than 5% of cases) or follow-up, and it has been estimated that approximately 10–15% of patients with differentiated carcinoma will develop local or distant metastases.<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7,8</span></a> Survival rates ranging from 49% to 68% have been reported 10 years after the occurrence of cervical metastases, which are responsible for one third of deaths related to the disease. Distant metastases occur in lung (50%), bone (25%), lung and bone (20%), and other sites (5%). The survival rate following the diagnosis of distant metastases decreases to 25–42%.<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The treatment of low-risk differentiated thyroid carcinoma has not changed substantially over the past decades and is based on surgery, ablation with <span class="elsevierStyleSup">131</span>I, and suppressant treatment with levothyroxine,<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> although there is an increasing trend to base both treatment and follow-up recommendations on individualized risk assessment.<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7,11</span></a> Most evaluation systems are based on clinical and pathological data, and different risk factors have been identified, including age at diagnosis, sex, size, the presence of metastasis, and the initial treatment used.<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6,12,13</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">The response rate to the standard treatment is high, with overall survival rates higher than 75%. However, patients with dedifferentiation processes (poorly differentiated thyroid carcinoma [PDTC]) who have iodine refractory disease (the presence of at least one lesion with no <span class="elsevierStyleSup">131</span>I uptake or progression within one year of <span class="elsevierStyleSup">131</span>I ablation) show a mean survival of 3–6 years after the diagnosis of distant metastases, and although growth is slow, most metastases progress. These patients are therefore candidates for other treatment modalities,<a class="elsevierStyleCrossRef" href="#bib0070"><span class="elsevierStyleSup">14</span></a> and one of the main objectives of clinicians is to distinguish this subgroup from DTCs of good prognosis.</p><p id="par0025" class="elsevierStylePara elsevierViewall">It is therefore essential to know the process of dedifferentiation or anaplastic transformation of these tumors. Our understanding of the molecular biomarkers related to this process, and thus with prognosis and survival, has increased in recent years, so allowing for new therapeutic targets to be established.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Biomarkers: Definition</span><p id="par0030" class="elsevierStylePara elsevierViewall">Biomarkers are defined as biological parameters that may be measured or detected and may in turn be correlated to a pathological process. However, for these parameters to be considered as true biomarkers, they must meet the following criteria, described by Herberman in 1977: (1) their measurement should be simple, reproducible, and easily available; (2) they should discriminate between normal and pathological states; (3) they should be highly sensitive and specific; and (4) they should be able to monitor recurrent disease processes.<a class="elsevierStyleCrossRef" href="#bib0075"><span class="elsevierStyleSup">15</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">In recent years, the development of new technologies applied to the molecular understanding of disease has significantly contributed to the identification of new biomarkers, called molecular biomarkers. These new biomarkers have undoubtedly become highly relevant because they have made possible a deeper understanding of the etiopathogenesis of many diseases by identifying, at least partly, the molecular mechanisms involved, especially in neoplastic conditions, and have provided valuable diagnostic, prognostic, and therapeutic information. However, there are many factors, not only genetic or epigenetic, but also environmental, directly or indirectly involved in the development and metastatic progression of tumors, which often makes selection of these new biomarkers difficult. This is one of the most significant limitations in clinical practice. The different types of biomarkers in thyroid tumor disease are discussed below.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Serological markers</span><p id="par0040" class="elsevierStylePara elsevierViewall">In epithelial thyroid tumors, thyroglobulin (TG), a glycoprotein produced by thyroid follicular cells, was one of the first tissue-specific biomarkers used. However, although this is a helpful serum marker for assessing the presence of residual or metastatic tumor in patients undergoing total thyroidectomy, many studies have reported that it is of no use in detecting populations at high risk of developing this type of tumor.<a class="elsevierStyleCrossRef" href="#bib0080"><span class="elsevierStyleSup">16</span></a> In addition, TG tests may not be reliable in patients on suppressing levothyroxine therapies and in patients who develop some types of benign conditions such as thyroiditis, thyrotoxicosis, thyroid adenoma, or iodine deficiency. In these latter cases, false positive results are frequently seen because of increased serum TG levels.<a class="elsevierStyleCrossRef" href="#bib0085"><span class="elsevierStyleSup">17</span></a></p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Genomic and transcriptomic markers</span><p id="par0045" class="elsevierStylePara elsevierViewall">It is well known that the process of carcinogenesis results from the random accumulation of genetic and epigenetic aberrations in tissue. At least 10–20% of gene expression changes have been reported in tumor cells. These changes are directly induced by changes in cell DNA, significantly contributing to the oncogenetic process in virtually all human cancers.<a class="elsevierStyleCrossRefs" href="#bib0090"><span class="elsevierStyleSup">18,19</span></a> Early studies focused on the identification and subsequent analysis of either one or of several genes implicated in tumor start, development, and metastases. Thus, in the specific case of the thyroid gland and because of the discrepancies found by different authors in serum TG measurements in patients, one of the first choices proposed was the detection of the TG transcript in the blood of these patients instead of protein. However, the results obtained showed a great variability, and no differences in expression could be seen between the control subjects used in the studies and those with disease.<a class="elsevierStyleCrossRefs" href="#bib0085"><span class="elsevierStyleSup">17,20–22</span></a> The transcript of the thyroid-stimulating hormone (TSH) receptor was another marker proposed. This receptor acts as the main regulator, through TSH, of the differentiation and division process in thyroid follicular cells, but not in pathological follicular cells, which are insensitive or refractory to such stimulation. However, although different gene expression studies showed total or partial modification of gene expression in differentiated thyroid carcinomas, the results were not conclusive because neither TG nor TSH alone allowed for discrimination between the different degrees of malignancy of tumors or their progression to more aggressive tumors.<a class="elsevierStyleCrossRefs" href="#bib0115"><span class="elsevierStyleSup">23–25</span></a></p><p id="par0050" class="elsevierStylePara elsevierViewall">The most relevant findings in terms of the expression of genomic and transcriptomic markers in tumors of different histological characteristics are discussed below.</p><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Well differentiated tumors: Papillary and follicular variants of differentiated thyroid carcinoma</span><p id="par0055" class="elsevierStylePara elsevierViewall">Early changes reported included mutations in <span class="elsevierStyleItalic">RAS</span> family oncogenes affecting both GTP in codons 12, 13 and the GTPase domain in codon 61 of the protein, with a similar prevalence in benign and malignant tumors. Some authors found these mutations in approximately 50% of FTCs analyzed, which may suggest their implication in associated early changes in the transformation process of thyroid follicular cells.<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">26,27</span></a></p><p id="par0060" class="elsevierStylePara elsevierViewall">The <span class="elsevierStyleItalic">RET</span> proto-oncogene located in chromosome 10q112 has been reported in 50% of PTCs diagnosed, and is called <span class="elsevierStyleItalic">RET/PTC</span>. Active forms of the RET proto-oncogene result from oncogenic rearrangements and fusions of the tyrosine kinase domain of the RET gene with the 5′ of the domain of different genes, leading to different variants (RET/PTC1, –2, –3, –4, and –5).<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">28</span></a> However, while there are studies identifying RET/PTC as a good genetic marker in PTCs, others have found the mutations in benign nodules.<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">29,30</span></a></p><p id="par0065" class="elsevierStylePara elsevierViewall">Tyrosine kinase, which may be inadequately activated in PTCs, has also been studied. However, the molecular mechanism is unknown, and no validation exists in benign tumors.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">31</span></a></p><p id="par0070" class="elsevierStylePara elsevierViewall">Angiogenic factors identified in DTC thyrocytes include VEGF (vascular endothelial growth factor), whose expression has been correlated to the degree of tumor dedifferentiation. It has therefore been proposed as a poor prognostic marker involved in metastatic processes in PTC.<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">32,33</span></a> An additional growth factor implicated in tumorogenesis is EGF (epidermal growth factor), which in addition to promoting cell proliferation in the thyroid gland, acts by inhibiting specific thyroid functions such as iodine transport and organification and peroxidase and TG synthesis. That is to say, EGF promotes thyroid cell proliferation, but not differentiation. Finally, TGF-alpha (tumor growth factor-alpha) interacts with the EGF receptor (EGFR) and contributes with EGF to stimulate cell proliferation. However, the expression of both EGF and its receptor (EGFR) in the nucleus is not only detected in FTC, but also in Graves’ disease and adenomas.<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">34</span></a></p><p id="par0075" class="elsevierStylePara elsevierViewall">However, it was not until the advent of mass sequencing of human genoma and the subsequent technological advances, such as array and/or microarray techniques, that new molecular targets involved in key cell regulation processes (signaling pathways, transcription factors, changes in adhesion molecules as markers of tumor aggressiveness) and specific molecular profiles (also called genetic signatures) associated with a variety of clinical patterns could be identified. In many cases, advances made in the search for these specific genetic profiles have been crucial for improving our ability to ascertain differences in the biological behavior of closely related conditions which have no differential histological patterns but show major differences in their clinical course. In the thyroid gland, comparative tests performed in follicular adenomas or benign tumors and carcinomas have allowed for the identification of a number of differential genetic changes such as different galectin-3 gene expression, differences in telomerase activity, and detection of PAX8/PPARγ gene translocation, among others. However, none of these markers have proved sufficiently reliable to allow for the safe differentiation of benign and malignant tumors in cytological samples.<a class="elsevierStyleCrossRefs" href="#bib0175"><span class="elsevierStyleSup">35,36</span></a></p><p id="par0080" class="elsevierStylePara elsevierViewall">These new diagnostic approaches were simultaneously used to study PTC.<a class="elsevierStyleCrossRefs" href="#bib0185"><span class="elsevierStyleSup">37–40</span></a> Thus, Huang et al. reported in 2001 one of the first studies using array techniques in this type of tumor. The authors were able to identify 220 differentially expressed genes. However, some of these could not subsequently be validated in a new PTC cohort, which is a critical point in the study.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">41</span></a></p><p id="par0085" class="elsevierStylePara elsevierViewall">Subsequent studies by Giordano et al. in 2005 identified a genetic signature associated with mutations in <span class="elsevierStyleItalic">BRAF</span>, <span class="elsevierStyleItalic">RAS</span>, and <span class="elsevierStyleItalic">RET/PTC</span> genes in PTC. Testing for this signature allowed for the differentiation of tumors of epithelial origin which showed different histological patterns (classical papillary pattern and its different variants). This was thus the first study that identified gene expression patterns and their mutational correlation. This allows not only for the prediction of the potential success of the treatment used, but also for contemplating new cellular targets that allow for designing new treatment strategies.<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">42</span></a> Thus, Capella et al.<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">43</span></a> detected <span class="elsevierStyleItalic">RAS</span> gene mutations in different types of thyroid lesions, including ATC, thus confirming their role in tumorogenesis, although the relationship with prognosis could not be determined. Subsequent detection of hypermethylation of the <span class="elsevierStyleItalic">PTEN</span> promoter, especially in follicular tumors, suggested its potential role during tumor development or course.<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">44</span></a></p><p id="par0090" class="elsevierStylePara elsevierViewall">An increasing number of studies aimed at the identification of new clinically useful markers and genetic signatures were subsequently conducted on larger series. Recent studies including significant numbers of patients (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1168) confirmed that <span class="elsevierStyleItalic">BRAF</span><span class="elsevierStyleSup">v600E</span> gene mutations were relevant in PTC and were associated with greater increases in recurrence, mortality, and loss of the capacity to take up <span class="elsevierStyleSup">131</span>I. They could therefore be used as a biomarker for these tumors. However, they had little prognostic power in sporadic tumors that lacked the mutation. Thus, their value as a diagnostic and prognostic test was not conclusive.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">45,46</span></a> A recent study examined the relationship of the presence of the <span class="elsevierStyleItalic">BRAF</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">T1799A</span></span> mutation to PTC recurrence or persistence, and was unable to conclude that its presence confers a poorer prognosis.<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">47</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall">A meta-analysis by Griffith et al. of 21 published studies using the same Affimetrix technology found that among the 1785 differentially expressed genes, 39 were the most significant, including 12 candidate genes, of which six had previously been reported (<span class="elsevierStyleItalic">MET</span>, <span class="elsevierStyleItalic">TFF</span>, <span class="elsevierStyleItalic">SERPINA1</span>, <span class="elsevierStyleItalic">TIMP1</span>, <span class="elsevierStyleItalic">FN1</span>, and <span class="elsevierStyleItalic">TPO</span>) and six were candidate genes (<span class="elsevierStyleItalic">TGFA</span>, <span class="elsevierStyleItalic">QPCT</span>, <span class="elsevierStyleItalic">CRABP1</span>, <span class="elsevierStyleItalic">FCGBP</span>, <span class="elsevierStyleItalic">EPS8</span>, and <span class="elsevierStyleItalic">PROS1</span>) identified for the first time in the thyroid gland, which could represent, together with the previous ones, a valid diagnostic tool in a clinical setting.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">48</span></a></p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Dedifferentiated and anaplastic tumors (undifferentiated or anaplastic carcinoma and poorly differentiated carcinoma)</span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Undifferentiated or anaplastic carcinoma</span><p id="par0100" class="elsevierStylePara elsevierViewall">Few gene expression studies have been conducted in more aggressive tumors, the etiology of which continues to be highly controversial. No key specific agent for the development of such tumors has been identified yet (a role for TSH and/or external irradiation in the promotion of the development of these tumors has been suggested).<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">49</span></a></p><p id="par0105" class="elsevierStylePara elsevierViewall">A correlation exists between the frequency of a loss of heterozygosity and a prognosis of thyroid carcinoma. A loss of heterozygosity occurs more frequently in ATC as compared to PTC and FTC, where it is found in 19p in up to 36% of cases.<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">26</span></a> Localized loss in the short arm of chromosome 16 has also frequently been noted. This would suggest the probable lack of a suppressor gene at that location. This observation is supported by the fact that ATC cell lines have been seen to frequently have losses in 16p as compared to cell lines of differentiated carcinoma, which suggests the presence at this location of some gene that may be associated with the transformation from well differentiated to undifferentiated carcinoma.<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">50</span></a></p><p id="par0110" class="elsevierStylePara elsevierViewall">On the other hand, microarray studies in these tumors have identified groups of genes related to different signaling pathways, including transcription factors, mitosis, cell proliferation and differentiation, apoptosis, cell adhesion molecules, cytoskeleton, etc.,<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">45,46,51–53</span></a> but have found no consistent genetic signature. As in differentiated tumors, mutations have been identified in <span class="elsevierStyleItalic">RAS</span> and <span class="elsevierStyleItalic">BRAF</span> genes, and this has led to the hypothesis that they could be the first steps in the dedifferentiation process and that they could allow in turn for the acquisition of new mutations (late mutations), including those identified in <span class="elsevierStyleItalic">TP53</span>, catenin (cadherin-associated protein), beta 1, and <span class="elsevierStyleItalic">PIK3CA</span>. It has been suggested that all these cumulative mutations in these types of tumors contribute to their extremely aggressive behavior. By contrast, rearrangements in the <span class="elsevierStyleItalic">RET/PTC</span> gene identified in childhood and in post-radiation PTC or fusion protein PAX8/PPARγ detected in FTC are not identified in poorly differentiated or anaplastic tumors.<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">54</span></a> From this postmalignant transformation associated with genetic mutations arises the interesting but controversial concept of “anaplastic transformation”.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">55</span></a></p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Poorly differentiated carcinoma</span><p id="par0115" class="elsevierStylePara elsevierViewall">PDTCs, recognized in 2004 by the World Health Organization as a separate pathological condition, have a differential molecular expression as compared to all other tumors described. Thus, our group<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">56</span></a> studied in 2008 these types of tumors (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>6) and compared their differential expression from ATCs (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>6) and a group of well differentiated tumors (n<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>31). This study identified 1031 differential genes implicated in different cell-signaling pathways: MAPKinases, genes involved in cell cycle regulation, cell adhesion, cytoskeleton, and TGFβ pathways. Of all these genes, 23 represented a genetic signature conferring a poor prognosis (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>) which is currently being validated in a new patient cohort. To date, 22 of the 23 genes identified have been analyzed using low density array technology in a total of 19 well differentiated tumors at the time of diagnosis, of which 7 were FTCs and 12 PTCs. The data analyzed identified differential gene groups between the two types of tumors. Specifically, <span class="elsevierStyleItalic">PTPRN2</span>, <span class="elsevierStyleItalic">TWIST1</span>, <span class="elsevierStyleItalic">ANLN</span>, <span class="elsevierStyleItalic">PRC1</span>, and <span class="elsevierStyleItalic">RRM2</span> were found in PTCs, and <span class="elsevierStyleItalic">APLP2</span>, <span class="elsevierStyleItalic">PPAP2B</span>, <span class="elsevierStyleItalic">SIAH1</span>, and CEP55 were found in FTCs.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">48</span></a> The next step will be a prospective analysis of the different expression of these gene groups in tumors which experience a dedifferentiation process during their course and those which do not.<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">57</span></a></p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia></span></span></span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conclusion</span><p id="par0120" class="elsevierStylePara elsevierViewall">Thyroid carcinoma is the most common endocrine tumor, accounting for 2% of all human cancers, and its incidence has constantly increased over the past three decades (3% annually), especially at the expense of papillary microcarcinoma.<a class="elsevierStyleCrossRef" href="#bib0005"><span class="elsevierStyleSup">1</span></a> Ninety percent of thyroid carcinomas arise in follicular cells, and most of them are considered well differentiated and have an excellent prognosis. DTC usually has an indolent course, with a mean 10-year survival close to 90%. By contrast, ATC cause 50% of deaths related to thyroid cancer, with a mean survival of 6 months,<a class="elsevierStyleCrossRefs" href="#bib0015"><span class="elsevierStyleSup">3,58</span></a> and some patients with DTC have an unfavorable prognosis mainly related to dedifferentiation processes. An understanding of the different processes involved in carcinogenesis and in dedifferentiation processes would allow for a better understanding of the disease and of the potential uses of targeted therapies. In addition, the possibility of recognizing the genetic signatures associated with a poor prognosis among all the biomarkers identified would represent a tool of great diagnostic and prognostic value that would help us to better stratify the risks. This would in turn be very helpful for the application of adequate treatment strategies and for developing new pharmacological alternatives. In this regard, the availability of an animal model of undifferentiated/anaplastic carcinoma would be of great value for in vivo research of the biological mechanism of these tumors. Such a model would also allow for the testing of new treatment alternatives, such as the application of nanoparticles targeted to the tumor cell able to release drugs and gene therapies using cells carrying suicide genes. This work is currently being performed by our group in cooperation with other institutions within the CIBER-BBN project (<span class="elsevierStyleItalic">Cell-Nano-Thyroid</span> [website caber-bbn.es]).</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle">Conflicts of interest</span><p id="par0125" class="elsevierStylePara elsevierViewall">The authors state that they have no conflicts of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:11 [ 0 => array:2 [ "identificador" => "xres148809" "titulo" => "Abstract" ] 1 => array:2 [ "identificador" => "xpalclavsec136715" "titulo" => "Keywords" ] 2 => array:2 [ "identificador" => "xres148808" "titulo" => "Resumen" ] 3 => array:2 [ "identificador" => "xpalclavsec136714" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Biomarkers: Definition" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Serological markers" ] 7 => array:3 [ "identificador" => "sec0020" "titulo" => "Genomic and transcriptomic markers" "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0025" "titulo" => "Well differentiated tumors: Papillary and follicular variants of differentiated thyroid carcinoma" ] 1 => array:3 [ "identificador" => "sec0030" "titulo" => "Dedifferentiated and anaplastic tumors (undifferentiated or anaplastic carcinoma and poorly differentiated carcinoma)" "secciones" => array:2 [ 0 => array:2 [ "identificador" => "sec0035" "titulo" => "Undifferentiated or anaplastic carcinoma" ] 1 => array:2 [ "identificador" => "sec0040" "titulo" => "Poorly differentiated carcinoma" ] ] ] ] ] 8 => array:2 [ "identificador" => "sec0045" "titulo" => "Conclusion" ] 9 => array:2 [ "identificador" => "sec0050" "titulo" => "Conflicts of interest" ] 10 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2011-09-09" "fechaAceptado" => "2011-12-12" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec136715" "palabras" => array:3 [ 0 => "Thyroid carcinoma" 1 => "Dedifferentiation" 2 => "Molecular markers" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec136714" "palabras" => array:3 [ 0 => "Carcinoma de tiroides" 1 => "Desdiferenciación" 2 => "Marcadores moleculares" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:2 [ "titulo" => "Abstract" "resumen" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Although papillary or follicular well-differentiated thyroid carcinoma usually has a good prognosis, a proportion of well-differentiated thyroid carcinomas show a more aggressive behavior with local recurrence and metastases, either at diagnosis (in less than 5% of cases) or over time. Although there are several scoring systems to assess prognosis of well-differentiated thyroid carcinoma, mainly based on clinical and pathological data, there is currently no valid criterion to define an adequate, differential treatment for patients with low risk carcinomas as compared to those with more aggressive tumors. Identification of patients with a high risk at the time of diagnosis would be essential to develop new therapeutic strategies and to improve follow-up, and molecular biomarkers could be a highly useful tool for this purpose.</p>" ] "es" => array:2 [ "titulo" => "Resumen" "resumen" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Aunque el carcinoma diferenciado de tiroides, papilar o folicular, tiene habitualmente un buen pronóstico, existe un porcentaje de casos que presentan un comportamiento más agresivo con recurrencias locales y metastatización, ya sea en el momento del diagnostico (en menos de un 5% de los casos) ya en el seguimiento. A pesar de que existen diferentes sistemas de evaluación del pronóstico del carcinoma diferenciado de tiroides, basados especialmente en datos clínicos y patológicos, no hay en la actualidad un criterio válido que permita definir un tratamiento diferencial entre los pacientes con carcinomas de bajo riesgo y aquellos con carcinomas más agresivos. La identificación de los pacientes de riesgo en el momento del diagnóstico sería clave para desarrollar nuevas estrategias terapéuticas y mejorar el seguimiento, siendo en este sentido los biomarcadores moleculares una herramienta de gran valor.</p>" ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara">Please cite this article as: González Blanco C, et al. Biomarcadores moleculares implicados en el proceso de desdiferenciación tumoral del carcinoma de tiroides de origen epitelial: perspectivas. Endocrinol Nutr. 2012;59(7):452–8.</p>" ] ] "multimedia" => array:1 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "fuente" => "<span class="elsevierStyleItalic">Source</span>: Montero-Conde et al.<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">56</span></a>" "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Alias \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Name of gene \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" style="border-bottom: 2px solid black">Biological function \t\t\t\t\t\t\n \t\t\t\t</td></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ANLN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Actin binding protein (ANLN)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Necessary for cytokinesis \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">APLP2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Amyloid beta (A4) precursor-like protein 2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Regulation of hemostasis \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ASPM \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Abnormal spindle-like microcephaly-associated protein</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mitotic spindle regulation, mitotic process coordination \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">BIRC5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Survivin</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Member of the family of apoptosis inhibitory (API) genes \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CCNB2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">G2/mitotic-specific cyclin-B2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cell cycle control in the G2/M transition \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CDH1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">E-cadherin</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cell-to-cell regulation of epithelial cell adhesion, motility, and proliferation \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CENPA \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Centromere protein A</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mitotic progression and chromosome segregation \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">CEP55 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Centrosomal protein 55 kDa</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mitotic death and cytokinesis \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">DIAPH3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Diaphanous homolog 3 (Drosophila)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Promotes actin polymerization, cytokinesis, stress fiber formation \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">IL1RN \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Interleukin 1 receptor antagonist</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Related to immune and inflammatory responses \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">NUSAP1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Nucleolar and spindle associated protein 1</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Promotes the organization of microtubules in mitotic spindle \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">ORMDL3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">ORM1-like 3 (S. cerevisiae)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Regulation of Ca-mediated signaling in endoplasmic reticulum \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PDK2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Pyruvate dehydrogenase kinase, isozyme 2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Regulation of glucose metabolism \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PPAP2B \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Phosphatidic acid phosphatase type 2B</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">May be implicated in cell adhesion and cell interaction \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PRC1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Protein regulator of cytokinesis 1</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cytokinesis \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">PTPRN2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Protein tyrosine phosphatase, receptor type, N polypeptide 2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Development of the nervous system and endocrine pancreatic cells \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">RRM2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Ribonucleotide reductase M2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Precursor needed for DNA synthesis. Inhibits the Wnt signal \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SDK2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Sidekick homolog 2 (chicken)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cell adhesion protein \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SH3BGRL2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">SH3 domain binding glutamic acid-rich protein like 2</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Apoptosis, tumor suppression, cell cycle, TNF-α signaling \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">SIAH1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Seven in absentia homolog 1 (Drosophila)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Proteosomal degradation of target proteins \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">TWIST1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Twist homolog 1 (Drosophila)</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Transcriptional regulator \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">UBE2 C \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><span class="elsevierStyleItalic">Ubiquitin-conjugating enzyme E2 C</span> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Cell cycle regulation by ubiquitin ligase progression through mitosis \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab242863.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">Genetic signatures identified by Montero et al. which are being analyzed in a new patient cohort.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:58 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Increasing incidence of thyroid cancer in the United States, 1973–2002" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:2 [ 0 => "L. 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Year/Month | Html | Total | |
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2024 November | 6 | 1 | 7 |
2024 October | 29 | 10 | 39 |
2024 September | 23 | 14 | 37 |
2024 August | 27 | 4 | 31 |
2024 July | 14 | 5 | 19 |
2024 June | 23 | 5 | 28 |
2024 May | 22 | 2 | 24 |
2024 April | 20 | 10 | 30 |
2024 March | 40 | 0 | 40 |
2024 February | 36 | 4 | 40 |
2024 January | 32 | 1 | 33 |
2023 December | 33 | 7 | 40 |
2023 November | 17 | 13 | 30 |
2023 October | 19 | 12 | 31 |
2023 September | 29 | 3 | 32 |
2023 August | 15 | 2 | 17 |
2023 July | 46 | 7 | 53 |
2023 June | 32 | 1 | 33 |
2023 May | 46 | 10 | 56 |
2023 April | 29 | 2 | 31 |
2023 March | 48 | 5 | 53 |
2023 February | 31 | 1 | 32 |
2023 January | 57 | 6 | 63 |
2022 December | 37 | 12 | 49 |
2022 November | 45 | 5 | 50 |
2022 October | 28 | 11 | 39 |
2022 September | 38 | 18 | 56 |
2022 August | 42 | 11 | 53 |
2022 July | 28 | 17 | 45 |
2022 June | 27 | 9 | 36 |
2022 May | 24 | 20 | 44 |
2022 April | 60 | 20 | 80 |
2022 March | 52 | 21 | 73 |
2022 February | 43 | 5 | 48 |
2022 January | 79 | 14 | 93 |
2021 December | 30 | 19 | 49 |
2021 November | 57 | 21 | 78 |
2021 October | 46 | 24 | 70 |
2021 September | 48 | 24 | 72 |
2021 August | 43 | 16 | 59 |
2021 July | 51 | 30 | 81 |
2021 June | 26 | 12 | 38 |
2021 May | 48 | 18 | 66 |
2021 April | 105 | 61 | 166 |
2021 March | 83 | 10 | 93 |
2021 February | 45 | 19 | 64 |
2021 January | 53 | 15 | 68 |
2020 December | 52 | 11 | 63 |
2020 November | 55 | 11 | 66 |
2020 October | 48 | 7 | 55 |
2020 September | 28 | 15 | 43 |
2020 August | 37 | 20 | 57 |
2020 July | 35 | 14 | 49 |
2020 June | 24 | 9 | 33 |
2020 May | 25 | 8 | 33 |
2020 April | 29 | 8 | 37 |
2020 March | 45 | 14 | 59 |
2020 February | 30 | 10 | 40 |
2020 January | 28 | 6 | 34 |
2019 December | 36 | 10 | 46 |
2019 November | 40 | 7 | 47 |
2019 October | 29 | 5 | 34 |
2019 September | 33 | 9 | 42 |
2019 August | 15 | 2 | 17 |
2019 July | 17 | 15 | 32 |
2019 June | 69 | 16 | 85 |
2019 May | 116 | 24 | 140 |
2019 April | 46 | 7 | 53 |
2019 March | 18 | 3 | 21 |
2019 February | 23 | 8 | 31 |
2019 January | 30 | 7 | 37 |
2018 December | 40 | 9 | 49 |
2018 November | 42 | 0 | 42 |
2018 October | 26 | 13 | 39 |
2018 September | 75 | 4 | 79 |
2018 August | 24 | 17 | 41 |
2018 July | 11 | 3 | 14 |
2018 June | 20 | 1 | 21 |
2018 May | 13 | 4 | 17 |
2018 April | 19 | 0 | 19 |
2018 March | 8 | 1 | 9 |
2018 February | 9 | 0 | 9 |
2018 January | 9 | 1 | 10 |
2017 December | 10 | 1 | 11 |
2017 November | 10 | 1 | 11 |
2017 October | 20 | 2 | 22 |
2017 September | 12 | 6 | 18 |
2017 August | 17 | 5 | 22 |
2017 July | 14 | 6 | 20 |
2017 June | 19 | 5 | 24 |
2017 May | 33 | 3 | 36 |
2017 April | 33 | 4 | 37 |
2017 March | 29 | 23 | 52 |
2017 February | 42 | 6 | 48 |
2017 January | 11 | 3 | 14 |
2016 December | 25 | 4 | 29 |
2016 November | 24 | 4 | 28 |
2016 October | 36 | 3 | 39 |
2016 September | 30 | 3 | 33 |
2016 August | 28 | 6 | 34 |
2016 July | 25 | 4 | 29 |
2016 June | 27 | 4 | 31 |
2016 May | 29 | 9 | 38 |
2016 April | 27 | 10 | 37 |
2016 March | 27 | 12 | 39 |
2016 February | 30 | 16 | 46 |
2016 January | 35 | 12 | 47 |
2015 December | 22 | 11 | 33 |
2015 November | 12 | 12 | 24 |
2015 October | 29 | 14 | 43 |
2015 September | 25 | 8 | 33 |
2015 August | 13 | 5 | 18 |
2015 July | 22 | 4 | 26 |
2015 June | 10 | 0 | 10 |
2015 May | 19 | 3 | 22 |
2015 April | 33 | 11 | 44 |
2015 March | 19 | 13 | 32 |
2015 February | 13 | 8 | 21 |
2015 January | 34 | 5 | 39 |
2014 December | 44 | 11 | 55 |
2014 November | 14 | 0 | 14 |
2014 October | 33 | 8 | 41 |
2014 September | 32 | 4 | 36 |
2014 August | 23 | 3 | 26 |
2014 July | 1 | 0 | 1 |
2014 May | 2 | 0 | 2 |
2014 January | 1 | 0 | 1 |
2013 July | 2 | 0 | 2 |
2013 June | 0 | 1 | 1 |