Identifying a risk profile for thyroid cancer

Identificando um perfil de risco para câncer de tiróide

REVISÃO

Identifying a risk profile for thyroid cancer

Identificando um perfil de risco para câncer de tiróide

Laura Sterian Ward^I; Elaine Cristina Morari^I; Janaina Luisa Leite^I; Natassia Elena Bufalo^I; Ana Carolina Trindade Guilhen^I; Priscilla Pereira C. de Araujo^I; Alfio J. Tincani^III; Ligia V.M. Assumpção^II; Patricia Sabino Matos^IV

^IMolecular Genetics of Cancer Laboratory

^IIDivision of Endocrinology - Department of Medicine

^IIIHead and Neck Surgery – Department of Surgery

^IVDivision of Endocrinology – Department of Pathology, Medical Science School, State University of Campinas — Unicamp, Campinas, SP

^{Address for correspondence}

ABSTRACT

The large use of simple and effective diagnostic tools has significantly contributed to the increase in diagnosis of thyroid cancer over the past years. However, there is compelling evidence that most micropapillary carcinomas have an indolent behavior and may never evolve into clinical cancers. Therefore, there is an urgent need for new tools able to predict which thyroid cancers will remain silent, and which thyroid cancers will present an aggressive behavior. There are a number of well-established clinical predictors of malignancy and recent studies have suggested that some of the patient’s laboratory data and image methods may be useful. Molecular markers have also been increasingly tested and some of them appear to be very promising, such as BRAF, a few GST genes and p53 polymorphisms. In addition, modern tools, such as immunocytochemical markers, and the measure of the fractal nature of chromatin organization may increase the specificity of the pathological diagnosis of malignancy and help ascertain the prognosis. Guidelines designed to select nodules for further evaluation, as well as new methods aimed at distinguishing carcinomas of higher aggressiveness among the usually indolent thyroid tumors are an utmost necessity.

Keywords: Predisposition factors; Environment; Susceptibility genes; Outcome

RESUMO

O uso cada vez mais freqüente de métodos diagnósticos simples e efetivos tem contribuído significativamente para um aumento no diagnóstico de câncer da tiróide nos últimos anos. Entretanto, existem importantes evidências de que muitos dos microcarcinomas papilíferos têm um comportamento indolente e podem nunca evoluir para cânceres clínicos. Existe, portanto, uma necessidade urgente de desenvolver novas ferramentas capazes de predizer quais os tumores tiroidianos que permanecerão silenciosos e quais desenvolverão comportamento agressivo. Há uma série de marcadores clínicos de evolução bem estabelecidos e alguns estudos recentes sugerem que dados laboratoriais e métodos de imagem podem ser úteis. Marcadores moleculares também vêm sendo ativamente investigados e alguns, como BRAF, os genes GST e polimorfismos de p53, parecem promissores. Além disso, marcadores imunocitoquímicos e a medida da natureza fractal da cromatina podem aumentar a especificidade do diagnóstico anatomopatológico e ajudar a predizer o prognóstico. Existe uma necessidade imperiosa de elaborarmos diretrizes destinadas a selecionar os nódulos que merecem prosseguimento em sua avaliação, assim como novos métodos capazes de identificar lesões mais agressivas entre os geralmente indolentes tumores tiroidianos.

Descritores: Fatores de predisposição; Meio ambiente; Genes de susceptibilidade; Evolução

RECENT IMPROVEMENTS IN MEDICAL technology have increased the detection of nodular thyroids, raising the incidence of incidental nodules to epidemic levels. Indeed, thyroid nodules may be detected in as much as 16% of imaging studies performed for other purposes on neck and chest computer tomography scans, magnetic resonance, carotid Doppler studies and, especially, ultrasonography (1). The physician, encountering one of these lesions, is faced with a dilemma on which is the best course of management of this incidental finding (2). Fine-needle cytology has been more frequently indicated in view of the anxiety of most patients and the lack of reliable parameters of malignancy, this is certainly one of the causes of the increase in thyroid cancer detection we have been observing over the past decades (3). Aggressive evaluation of nodular thyroids has consequently contributed to a sharp increase in the number of small papillary carcinomas operated (3). However, there is compelling evidence that most of these tumors would never evolve clinically.

THYROID CANCER BIOLOGY

Microcarcinomas, defined by the World Health Organization as carcinomas 1.0 cm or less in diameter, have been described in 1% to 35.6% of autopsy studies and 5.5% to 10.5% of thyroid glands removed due to causes other than malignancy (4-11). Considering that thyroid cancer incidence in Brazil, as in most countries, presents in no more than 0.3% of men and 1% of women, a great part of microcarcinomas detected by ultrasonography in autopsies or surgical specimens will probably never evolve into clinical cancers (3,12). Searching for indicators of the clinical evolution of papillary microcarcinomas, we studied a total of 32 lesions identified during autopsy and in surgical specimen material. These lesions were found in 7.8% of the 166 consecutive autopsies examined and 7.2% of 261 thyroids that were surgically removed due to thyroid diseases in general, with a higher incidence between the ages of 30 and 49 years (13). Both genders were similarly affected: 9.3% of men and 8.8% of women in autopsy series, and 6.2% of men and 7.3% of women in surgical series, suggesting that hormonal factors may favor the subsequent development of clinical lesions in women (14). Indeed, the higher incidence of thyroid carcinoma in women during reproductive years compared to men, and the increased risk associated with the therapeutic use of estrogens have suggested a pathogenetic role exerted by these steroids in the development of thyroid cancer (14). In addition, gender is a significant prognostic marker, since women with differentiated thyroid carcinomas show a better survival than men in our own data and that of others (15,16). Recent studies have provided a new insight into the molecular mechanisms through which estrogens may induce the progression of thyroid cancer, demonstrating that the G protein-coupled receptor 30 (GPR30) and the mitogen-activated protein kinase (MAPK) pathway mediate both the up-regulation of c-fos and the growth response to 17b-estradiol (E2), genistein (G), and 4-hydroxyta-moxifen (OHT) in thyroid cancer cell cultures (17).

In addition to estrogens, other factors may certainly take part in the thyroid cancer pathogenetic process. It is reasonable to think that risk factors of thyroid cancer may also define tumor behavior and, in consequence, their outcome. The American Joint Committee on Cancer and International Union Against Cancer, together with the National Comprehensive Network (AJCC/UICC and NCCN), summarized the risk factors for metastases, recurrence and fatal outcome, taking into account patient and tumor data, as demonstrated in table 1 (18).

Unfortunately, most prognostic factors depend on tumor examination, preventing any other action before surgical intervention. Prognostic classification and risk group stratification have improved during the last two decades with a deeper understanding of the biology of well-differentiated thyroid tumors. However, level 1 evidence is not yet available, there are no prospective randomized trials based on a variety of treatments, mainly total versus less than total thyroidectomy and surgery versus observation for papillary microcarcinomas. Decisions on thyroid cancer management are based mainly on retrospective studies used to define staging systems. The most common staging system, TNM (tumor, node, metastasis), which adheres to the biology of tumors, has been extensively reviewed over the years (19), and has been successfully used for over 65 years in thyroid cancer patients (20). However, the literature still lacks an analysis of the TNM and other scoring systems (OSU, ACES, AMES, etc.), as well as accuracy and utility concerning papillary microcarcinomas. Our data indicated that extrathyroidal extension and lymph node metastases, which are important TNM elements, do not correlate with outcomes of patients with papillary microcarcinomas (21). In a cohort of 68 patients with papillary microcarcinomas followed-up for 103 months (15 to 289 months), we observed no deaths but a relatively high number (19.1% of the cases) of unfavorable events, such as local recurrence and even long-distance metastasis (21). These patients responded well to the therapeutic measures: 50% of TNM III or IV PMC patients remained free of disease during the follow-up. Therefore, TNM alone was not able to predict favorable or unfavorable outcome of these patients, as demonstrated in figure 1.

In addition, the independent value for each parameter needs to be determined in a multivariate analysis of all risk factors for each individual patient (22). Moreover, the influence of good number risk factors for differentiated thyroid cancer on the prognostics of these tumors has not been investigated. A population-based nested case-control study of the 5,554 differentiated thyroid cancer patients diagnosed in Sweden from 1958 to 1978 investigated the cause of death of thyroid cancer patients matched by age at diagnosis, gender, and period calendar controls (23). The authors aimed to investigate how factors such as smoking, number of children, previous thyroid disorders, previous radiotherapy toward the neck, family history of thyroid diseases and malignancies influenced survival. The analysis of the 595 cases and controls showed that smokers had a borderline significant increased risk of dying from differentiated thyroid cancer. Previous radiotherapy towards the neck region had no prognostic implication. A family history of differentiated thyroid cancer influenced prognostics although not significantly in a few cases (23). The remaining risk factors studied did not influence survival. The authors concluded that smokers appeared to have a worse prognostic compared to nonsmokers, and a family history of thyroid cancer had a non-significant negative effect on survival (23). Our data on micropapillary carcinomas showed a similar trend (13). Although associated nodular goiter was observed in 54% of autopsies and 26% of surgical specimens, and Hashimoto’s thyroiditis was observed only in surgical material (15% of the cases), we were not able to correlate risk of malignancy with any concomitant lesion and we could not find risk factors for clinical evolution evaluation (13). However, we observed that the smallest papillary microcarcinomas appeared most frequently as nonencapsulated nonsclerosing tumors without inflammatory infiltrate or fibrosis, suggesting that they could represent the early stages of development thereby raising questions concerning the role of the immune system in delaying the progression of these tumors (13). There is evidence that oncogene-induced cytokine secretion is important for the development and progression of thyroid carcinomas in genetically permissive hosts (24). We demonstrated earlier that the odds for patients with a previous history of thyroid autoimmune disease (p< 0.02) or with thyroid autoantibodies (p< 0.001) having a worse outcome were lower than for patients with no evidence of autoimmune activity, suggesting that autoimmune activity against the gland may exert a protective effect on the outcome of patients with differentiated thyroid carcinoma (25). Markers of immune activation against the neoplastic tissue may be useful.

The literature is quite intriguing regarding the influence of smoking habits on thyroid cancer. Many epidemiologic observations were not able to associate cigarette smoking with thyroid cancer and some even found a lower risk for thyroid cancer among smokers. Twelve out of 13 case-control studies that examined the association between cigarette smoking and thyroid cancer found the risk of thyroid cancer to be decreased by 40% among smokers (26). Cohort studies, including a prospective Canadian one, were unable to demonstrate any association between smoking history and the risk of thyroid cancer (27). In addition, we were not able to find any correlation between smoking, clinical features, parameters of aggressiveness at diagnosis or during follow-up of 248 patients with thyroid nodules, including 67 benign goiters, 13 follicular adenomas, 136 papillary carcinomas and 32 follicular carcinomas, and 277 controls with similar ethnic backgrounds (28). Why would smoke influence the outcome of thyroid cancer patients in the Swedish study (23)? It is possible that other effects of the many toxic compounds existing in cigarette smoke, on other organs or systems, besides the thyroid, were responsible for this influence. Nevertheless, the role of smoke on thyroid cancer outcome remains to be elucidated. Likewise, the influence of the genetic profile and environmental factors on thyroid cancer biology remains largely unknown.

It has been proposed that incidental cancer found by histological examination of goiters would hold lower potential aggressiveness than cancers detected by fine-needle aspiration considering prognostic features, such as multifocality, lymph node metastasis and extracapsular invasion (29). On the other hand, there are many reports on the aggressive behavior of papillary microcarcinomas, which evolve not only with lymphatic regional metastases, but also with blood-borne lung, bone and brain metastases (30,31).

What do you know about differentiated thyroid cancer and how can you use this knowledge in order to define susceptibility profile and outcome for differentiated thyroid cancer?

ENVIRONMENTAL AND GENETIC RISK FACTORS FOR DIFFERENTIATED THYROID CARCINOMAS

Thyroid cancer is the most frequent endocrine cancer with a geographic variation in its incidence and manifestations (32). While it does not account for more than 1% of all human cancers in most countries, in other regions such as the Middle East, thyroid cancer is the second most common neoplasm among women (33). Brazilian data also show a highly distinctive incidence of thyroid tumors in different regions of the country (12). This great variation in incidence reflects differences not only in the access to health care and possibly diverse methods or thoroughness of thyroid examination, but also in environmental and genetic characteristics of the populations studied.

Exposure to ionizing radiation, especially during childhood, remains the only factor clearly associated with benign and malignant thyroid tumors in humans (34), although there is strong epidemiological evidence pointing towards the involvement of geographic, ethnic and dietary factors in the risk of sporadic thyroid cancer (32,34,35).

The most relevant genetic alterations identified so far in the different progression stages of thyroid tumors include RAS mutations in follicular tumors (36), RET gene rearrangements and BRAF mutations in papillary carcinomas (37,38), PPARg-PAX8 mutations in follicular carcinomas (39), and p53 mutations in poorly differentiated and anaplastic carcinoma (40). There is compelling epidemiologic, experimental and clinical evidences that exposure to ionizing radiation may trigger a series of abnormalities related to these genes’ activation or inactivation, aside from producing genetic instability (41). A low-level genomic instability may even be a feature of papillary thyroid carcinoma (42). However, we still do not understand why some individuals exposed to ionizing radiation develop thyroid cancer whereas others do not. The age at exposure has been shown to be a critical risk factor for developing thyroid carcinoma after exposure to fallout from Chernobyl, with those under the age of 1 showing a much greater risk than older children. There is a rapid decline to a level of relatively low risk for young adults (43,44). A similar situation was portrayed in Nagasaki and Hiroshima, where atomic bomb survivors displayed one of the highest solid tumor risk estimates (45). The likely reasons for this age-related risk include iodine radioisotope intake, radioiodine uptake, and biological sensitivity factors. The existence of biological sensitivity factors is confirmed by the finding of a similar, although less marked age-related, sensitivity to thyroid carcinomas after exposure to external radiation (46). Two main reasons for this sensitivity could be either the mitotic rate at the time of radiation exposure or the number of mitoses that occur in the progeny of the mutated cell, or perhaps both (47).

What other environmental factors may also contribute to the increasing incidence of cancer, not only in regions affected by fallout but in other countries as well?

Iodine has long been recognized as an important factor in thyroid cancer pathogenesis. Iodine-deficient thyroid glands will of course show a high radioactive iodine uptake, leading to the prediction that risk of developing thyroid carcinoma after exposure to radiation would be greater in areas with greater iodine deficiency. In fact, the type and consequent aggressiveness of thyroid tumors seem to be related to the population’s iodine intake, although a clear relationship between iodine supply to the population and sporadic thyroid cancer incidence, as well as its alleged physiopathology are still unclear (48). This issue is discussed by Nobel and Medeiros-Neto in another article of this same journal.

Some of the genes related to thyroid carcinogenesis have been related to tumor aggressiveness and, hence, to prognostics. Many studies, using both immunocytochemical and genetic analyses, have shown that p53 mutations are highly prevalent in poorly differentiated and undifferentiated thyroid carcinomas, as well as in thyroid cancer cell lines (40,49). However, these mutations are not found in benign tumors and are infrequent in well-differentiated cancers, suggesting that mutational inactivation of p53 occurs at a late stage of thyroid tumor progression and may represent a key event in the progression from differentiated to anaplastic carcinomas (50,51). Preliminary data of our group using immunohistochemistry for p53 in 34 papillary carcinomas, including 21 cases of the classical histological type, 7 tall cell variants and 6 of the follicular variant type; 16 follicular carcinomas; 4 medullary and 3 anaplastic carcinomas did not confirm a relationship between the expression of p53 and prognostics. However, the Kaplan-Meier survival curve of these patients, displayed in figure 2, suggests that a longer follow-up and/or a larger cohort may prove p53 to be a reliable immunohistochemical, and perhaps even a immunocytochemical, prognostic marker. Furthermore, we tested the gene MUC, which was described as overexpressed in aggressive thyroid carcinomas (52). MUC1 overexpression is a key molecular event in the pathogenesis of aggressive thyroid tumors (53). In malignancy, MUC1 looses its polarized expression, redistributes, and is expressed on the whole cell surface. This redistribution shields other cell surface molecules from their ligands and interferes with integrin-mediated adhesion to the extracellular matrix and with cadherin-mediated cell-cell adhesion. Increased MUC1 expression thereby promotes cellular dissociation and oncogenic progression (53). MUC1 upregulation also protects tumor cells from immune recognition and destruction by the cellular arm of the immune system. Moreover, it has been shown to inhibit human T-cell proliferation, thereby contributing to cancer-propagated immunosuppression (53). Previous studies from Wreesmann et al. identified MUC1 expression in thyroid slides (52). We were able to reproduce this technique, but in the 50 differentiated thyroid tumors studied in a preliminary protocol, we were not able to associate MUC expression with the patients’ outcome (figure 3).

We also investigated a gene that encodes a key protein for thyroid cancer detection and treatment and therefore related to patients’ outcome: NIS. The sodium iodide symporter (NIS) protein expression and functional integrity is essential to assure a radioiodine uptake high enough to detect and destroy any tumoral thyroid tissue. The absence of radioiodide uptake is associated with high recurrence rate and reduced survival (54). We previously demonstrated that a low expression of NIS mRNA levels, quantified by real-time PCR, identifies aggressive thyroid tumors (55). Unfortunately, we were not able to find any relationship between NIS protein expression and patients’ outcome in the same cohort mentioned above. Once again, the Kaplan-Meier survival curve of these patients, displayed in figure 4, suggested that a longer follow-up and/or a larger cohort may prove NIS to be a useful immunohistochemical and perhaps even immunocytochemical prognostic marker, although our preliminary data were not statistically significant in terms of outcome prediction.

Other genes directly related to thyroid tumorigenesis have actively been investigated as potential prognostic markers. One of the most exciting is BRAF. In vitro and in vivo models have demonstrated that overexpression of activated BRAF induces malignant transformation and aggressive tumor behavior, further discussed in another article of this issue. BRAF and other RAF kinases are frequently activated by other thyroid oncogenes and are important mediators of their biological effects, including dedifferentiation and proliferation. Two large studies showed that BRAF mutation predicts a poorer clinical prognosis for papillary thyroid cancer (56,57). However, a recent study from the Pisa group challenged these studies. A review of 61 papillary thyroid carcinoma patients with BRAF mutations, followed-up for 6 years, did not show evidence of any prognostic utility for BRAF (58).

In addition to the genes directly related to thyroid follicular cell differentiation, low-penetrance genes or rather polymorphisms in such genes could be of great significance to understand the tumorigenic processes of thyroid carcinomas.

DETOXIFICATION SYSTEMS AND THYROID CARCINOMA SUSCEPTIBILITY

As discussed, the thyroid cancer etiology is markedly uncertain. A wide variety of drugs, pesticides, goitrogenic xenobiotics and chemicals have been shown to increase the incidence of thyroid tumors in rodents (59-61). However, chemicals have seldom been associated with human thyroid cancer, in contrast to lung, bladder, and many other cancers. No increase in the human thyroid cancer risk has ever been consistently observed with any drug (62,63). On the other hand, there is compelling evidence that environmental factors, besides ionizing radiation, influence cancer incidence. Thyroid cancer is the fastest growing type of cancer in the USA with a 6.3% increase during the period of 1997–2003 and we have data suggesting that in Brazil it is not different (12,64). However, the rate of increase as well as the incidence of thyroid cancer varies in different geographic and ethnic group regions, including individuals exposed to well-defined factors, such as ionizing radiation (44-47,64-67). The question may be posed as to why some individuals are more susceptible to environmental aggressions? The biochemical basis for this susceptibility is related to genetic polymorphisms that normally occur in the general population regarding genes involved in the predisposition to a specific cancer, in the metabolic activation or detoxification of environmental genotoxins, as well as in controlling DNA repair or cellular damage (67-72).

Several polymorphic genes, encoding for enzymes involved in the biotransformation of carcinogens, have been studied as possible cancer risk modifiers. One of the most primitive defense mechanisms against environmental carcinogens is a supergene family of dimeric enzymes that are expressed in probably all life forms, the glutathione S-transferase (73). These enzymes catalyze the conjugation of glutathione to a variety of electrophiles, including arene oxides, inorganic arsenic, unsaturated carbonyls, organic halides and other substrates or oxidative stress products (74). We demonstrated that the inheritance of null forms of genes codifying some of these enzymes (75), as well as of polymorphic gene variants that produce less active forms of enzymes (76), increase the susceptibility to thyroid differentiated cancer. Other polymorphic gene systems of defense may be involved in thyroid cancer risk. Preliminary data from our group showed that N-acetyl transferase 2 genes as well are involved in thyroid cancer risk (77).

Among the genes involved in cellular repair, p53 polymorphism is one of the most interesting. This polymorphism has been shown to have varying ethnic and geographical distribution, like most genetic human polymorphisms. It has been reported to be a potential genetic risk factor for many types of cancer, and we as well as others have demonstrated that it is also involved in thyroid cancer risk (78,79).

Many other systems may possibly be involved in the complex interaction between human beings and environment that ultimately leads to cancer. A series of promising reports identifying polymorphisms in germline DNA have been published in an effort to delineate polygenic models of thyroid cancer susceptibility and prognosis (80-82). Such models are particularly interesting since they may help select individuals for specific chemopreventive interventions and determine which patients with nodules or with microcarcinomas are most likely to benefit from specific therapies. Unfortunately, these studies have produced inconsistent results mostly derived from small samples but also from population stratification secondary to ethnic diversity, heterogeneity of the therapeutic measures employed as well as consideration being limited to only one rather than combinations of polymorphisms. In addition, an important limitation in case-control studies is the fact that some population controls may have undetected thyroid lesions that could mislead the interpretation of the observed associations. Our studies have the advantage of using the Brazilian population, which presents a highly heterogeneous ethnic composition. Nonetheless, larger cohorts and metanalysis are needed. Hopefully, a panel of molecular markers will be able to identify early on life those at risk for thyroid cancer, hence helping define preventive strategies for these individuals in a near future.

PREDICTORS OF THYROID OUTCOME

The thyroid cancer patient needs to be reevaluated at each clinical appointment. As stated in the Guidelines also published in this issue of the ABEM, this evaluation outlines the patient’s outcome and defines further strategies.

Laboratory data

Thyroid hormone suppression lessens disease progression in high-risk papillary thyroid carcinoma (83). Recent data indicate that thyroid hormone suppressive therapy that yields serum TSH levels in the subnormal range also improves overall survival of patients with stage II differentiated thyroid cancer, but no additional improvement is associated with further degrees of thyroid hormone suppression (84). These data reinforce our Guideline recommendations: more aggressive thyroid hormone suppressive therapy is warranted in high-risk patients, whereas less aggressive thyroid hormone suppressive therapy aimed to maintain TSH levels slightly below normal is indicated in low-risk patients. Moreover, TSH levels may be considered of prognostic significance, and add value to thyroglobulin (Tg) measurement, which remains the most important predictor of outcome currently available for operated thyroid cancer patients (85-87).

Images

Nodule appearance on ultrasonography, together with ultrasound-guided fine-needle aspiration cytology, and neck exam during thyroid cancer follow-up are cornerstones of the current management of thyroid lesions. As more comprehensively discussed elsewhere in this issue of the ABE&M, ultrasonography is superior to other imaging methods, such as magnetic resonance imaging or computed tomography scan, except in particular cases (88,89).

More recently, ¹⁸F-FDG PET/CT has emerged as a promising imaging modality to evaluate thyroid malignancies, as extensively discussed in another manuscript of this issue of the ABE&M. PET and PET/CT are highly sensitive for Tg and/or radioiodine negative-scan thyroids, primary, poorly differentiated or anaplastic tumors, and metastatic lesions (90). However, their role as predictors of thyroid tumor aggressiveness remains to be evaluated.

Fractal dimension

Cell structural and biochemical features change with increasing aggressiveness of a neoplasia. Morphometric and texture analyses of whole tissue sections or individual cells are simple, reproducible and inexpensive. Staining can be done on routine slides. Pathologists have proposed the fractal dimension of nuclear chromatin as a prognostic factor in some tumors, such as lymphoblastic leukemia (91), myelodysplastic syndromes (92) and laryngeal carcinoma (93). This is a promising method that may estimate patients’ outcome early on a cytological fine-needle aspirate, since it has also been used for fine-needle aspirates from breast cytology (94). Recent data suggest that this technique may be applied to thyroid and possibly be useful in predicting aggressiveness (95).

CONCLUSION

Screening tools designed to identify individuals at risk for thyroid nodule cancer are of extreme necessity. Some clinical and epidemiologic features, among other factors, have proved to be important in the identification of individuals at risk. However, an appropriate management algorithm should balance sensitivity in detecting malignancy against the costs of an additional evaluation, which poses considerable costs to the patient and to society (96,97). Likewise, the management of patients diagnosed with thyroid tumors demands the understanding of the factors that drive follicular cells towards a non-return path of dedifferentiation. New promising tools have been developed and hopefully we will soon be able to sort out aggressive cases from the vast majority of indolent thyroid cancers that, perhaps in a not so distant future, will be merely observed without invasive intervention.

Recebido em 22/02/07

Aceito em 14/04/07

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Publication Dates

• Publication in this collection
  14 Sept 2007
• Date of issue
  July 2007

History

• Accepted
  14 Apr 2007
• Received
  22 Feb 2007