Abstract
The genetic alterations that underlie the progression of follicular thyroid carcinoma towards anaplasia are still largely uncharacterised. We compared the Comparative Genomic Hybridization (CGH) profiles of 20 follicular (FTCs), 12 poorly differentiated (PDTCs) and seven anaplastic thyroid carcinomas (ATCs), in order to identify the chromosomal imbalances potentially associated with cancer progression. We found: (i) when considering that a ‘direct’ transformation of FTC towards anaplasia occurs, the defined significantly important alterations were the increase of gains at 3q (P<0.05) and 20q (P<0.01), and the increase of losses at 7q (P<0.05) and Xp (P<0.01); (ii) regarding poorly differentiated carcinomas as an intermediate independent entity in the anaplastic transformation of follicular cancers, evidenced as important alterations towards anaplasia, were the proportional decrease in copy sequences at 7p, 7q, 12q and 13q resulting from the significant decrease of DNA gains at 7p and 12q (P<0.05), and the significant increase of losses at 7q and 13q (P<0.05). These results unveil the chromosomal regions where genes of interest in thyroid anaplastic transformation are to be located, and demonstrate that different gene dosage copy sequence imbalances are associated to the ‘direct’ pathway of transformation of follicular into anaplastic cancers and to the progressive FTC → PDTC → ATC pathway.
Keywords: CGH, thyroid, follicular undifferentiation
Thyroid malignant neoplasms of follicular cell derivation are classified according to the World Health Organization (WHO) criteria into well-differentiated papillary (PTCs) and follicular (FTCs) carcinomas and undifferentiated or anaplastic carcinomas (ATCs) (Hedinger et al, 1988). Clinical and pathological data suggest that, in thyroid, PTC and FTC arise through distinct pathways from follicular cells, and that both may dedifferentiate into ATC (Williams, 1979; Wynford-Thomas, 1997). Poorly differentiated thyroid carcinomas (PDTCs) identified by the WHO as a subtype of well-differentiated tumours (WDTCs) show morphological and clinical criteria in between WDTC and ATC, and are identified by some as an intermediate distinct entity between well-differentiated and anaplastic neoplasms (Sobrinho-Simões et al, 2002). Genetic studies largely support this model, and it is currently known that activation of RET, NTRK (Pierotti et al, 1996) and BRAF (Kimura et al, 2003), and overexpression of the MET oncogene (Suárez, 1998) contribute to the development of PTC, whereas RAS point mutations (Suárez, 1998) and PPARG/PAX8 rearrangements (Kroll et al, 2000) are associated to FTC genesis. The genetic events associated to the progression towards anaplasia are, however, less understood. However, it was identified that the frequency of P53 (Wynford-Thomas, 1997) and β-catenin (Garcia-Rostan et al, 1999) mutations raised from WDTC to PDTC to ATC, being significantly higher in the latter. Experiments performed both in in vitro as well as in in vivo models clearly demonstrated that they could not determine de per si anaplastic thyroid transformation, and other genes ought to be involved in that mechanism (Wynford-Thomas, 1997).
CGH analysis represents a useful method to identify the areas of the genome where genes linked to the development and/or progression of neoplasms are to be located. CGH studies in the less-differentiated thyroid forms of cancer are restricted to 15 PDTCs and 38 ATCs (Hemmer et al, 1999; Wilkens et al, 2000; Wreesmann et al, 2002). In PDTC, they were identified as the most frequent changes losses at 11p11–31, 6p21 and 13q21–31. In ATC, different chromosomal regions were identified as relevant. Hemmer et al (1999) identified gains of 7p22-pter, 8q22-qter and 9q34-qter as the most frequent imbalances. Wilkens et al (2000) defined gains of 5p and alterations of 8 as playing an important role in the development of ATC, whereas, Wreesmann et al (2002) proposed that gains at 3p13–14 and 11q13, and loss of 5q11–31, were markers for anaplastic transformation.
In order to further characterise the genomic imbalances associated with the development of anaplastic thyroid carcinomas, we performed a CGH analysis in 12 PDTCs and seven ATCs, and compared the obtained data with the CGH imbalances of 20 previously analysed FTC (Roque et al, 2003).
MATERIAL AND METHODS
Tumor specimens
In all, 20 FTC, 12 PDTC and seven ATC were included in this study. In which concerns FTC, the median age of the patients was 60 years (range from 33 to 87). The clinical and histological characteristics of this group of patients were those referred in Roque et al (2003). Poorly differentiated thyroid carcinoma cases were classified according to the criteria described in the Armed Forces Institute of Pathology (AFIP) (Rosai et al, 1992). In the PDTC group, six patients were females and five males. In case 10, two different areas (A and B) from the tumour were analysed (Table 1 ). The median age of patients with PDTC was 57 years (range from 35 to 79). In the ATC group, all patients were females (Table 2 ), being their median age 69 years (range from 51 to 77).
Table 1. Poorly differentiated thyroid carcinomas (PDTC)–clinical and CGH data.
Case | Sex/age | CGH results |
---|---|---|
1 | F/35 | +2q23, +4q21–q28, +5p14, +5p11, +5q14–q22, +12q15–q21, +13q21, +14q13–q21 |
2 | F/67 | −2q13–qter, +4q26–q28, +7pter–q21, +20, −22q13–qter |
3 | M/67 | +1p21–p10, +1q12–q31, −1q44–qter, −2p16, −2q22–q23, −2q24.3–q34, −3pter–p26, −3p24.1, −3p14.1–p12, −4p15, −4q21.2–q31.2, −4q32–qter, +5pter–q11, +5q31–q34, +6pter–p11, −6q21, +7, −8p23, +8q10–qter, −9pter–p22, +9q22–q32, +9q34, +10q11–qter, −11p15.1−p13, +11q12–qter, +12, −13q21, +13q31–qter, +14q10–qter, +16p13–p11, +17, +18p11.3, +18p11.2–q11.2, +20, −X, −Y |
4 | F/44 | +1q21–q31, +2q11–q37, +3q24–q25, +4q22–q26, +5p15.1–q11*, +6q25, +7p21, +7p15–p13, +7q21–q32, +9pter–p11, +10pter–p11.2*, −10q11.2, −11q21–q22, −11q23.2–qter, +14q24–qter, −16p11.2–p11.1, −Xp14–p11, −Xq28 |
5 | F/75 | −1pter–p33, +1p31.1, +1p21, +3p12, −4pter–p13, −4cent, +5p14–p12, +5q11–qter, +6p11–q14, +7, +9pter–q11, +9q12–q22.1, −10q26–qter, −11pter–p15, −11p11–q13, −11q23–qter, −12pter–p13, −12q24–qter, +13q21,+14, −17p13–p12, −17q11–q21, −17q24–qter, +18p11.3, −18p11.1–q21, +18q22–qter, −19, −20p11.2–qter, −21q22.2–qter, −22, +X |
6 | M/67 | +19, −22, −Y |
7 | M/58 | +1pter–p13, −1q12, +1q23–q43, +2p25, +2p22–q35, +3pter–p21, +3q10–qter, +4pter–p14, −4q10–qter, +5, −6, +7pter–p15, +7p14–p11.1, +7q11.2–q32, +8p21–qter, +9pter–p13, +9q10–q13, +10p11.2, +10q11.2–q23, −11, +12pter–q23, +12q24, −13, +14q10–q24, +15q15–q23, +16p11.2, −17, +18p11.3, +18p11–q21, +20pter–p11.2, +20q13.3, +21q10–qter |
8 | F/79 | +1p13, −3p21–p12, +3q22–qter, +5q11.2, −6, +7q11.2, −8pter–p11.2, +9p13, +10, +11q11–q14, −11q22–qter, +12p13, +12p11.2, −13, +14q10–qter, +17p3, +17q21–qter, +18pter–q12, −18q21–qter, +19, +20p11.2, +20q13.1–qter, −X |
9 | M/50 | +1p36.3–p31.3, +1p22–p13.3, +1q12–q32, +1q42–q43, +2p25–p21, +2p14–q11, +2q14.3–q35, +4p14–q11, +4q21, +4q27–q31.2, +6p21.3, +6p21.1–q11, +6q21–q22, −7pter–p21, +7p12–q11.2, +7q22, +8p12–p11, +9p12–q21, +9q22.3, −10q10–qter, +11p11.2, −11q13.5, −11q14–q23, +12q10–q13, +12q21, +13q11–q13, −14q21–qter, +15q22–q24, +16pter–q12.1, −16q12.2–qter, +17p11.2–q24, +18p11.2–p10, +19p13.2–q13.1, +20p10–q12, −22q10–qter, −Y |
10 A (Area A) | F/38 | +7, +12, +14, +X |
10 B (Area B) | F/38 | −6p21.3, +7, +9q31, −11q12–q13, +12, +14, −19, −21q22–qter, −22q12–qter, +X |
11 | M/42 | +3p23–p21.3, +3p21.1–q26.3, +5p15.2–q14, +5q33, +9p12–q21, +12p11–q23, +16p11.2 |
F=female; M=male;
in bold–regions where high amplifications were observed.
Table 2. Anaplastic thyroid carcinomas (ATC)–clinical and CGH data.
Case | Sex/age | CGH results |
---|---|---|
1 | F/51 | −13 |
2 | F/77 | −1pter–p13, +2, −3pter–p14, +3p12.1–qter*, −4q10–qter, +5p13–qter, +6pter–p10, +7pter–q22, −8pter–p23, +8q10–qter, +9pter–p13*, +9p11–q12, +9q33–qter, −10pter–p11.2, +11q12–q13, −11q14.3–q23.2, +12pter–q12*, +16q10–q11.2, +16q21–qter, −17p13.1–p11.2, −18, +19p13.2, +20, −Xpter–p10 |
3 | F/74 | +1pter–p13, +3pter–p23, +3p11.2–qter, +4q10–qter, +5, −7q22–q32, +11pter–p12, +13q34–qter, +14q12–qter, +18p11.1–qter*, +19q12–q13.1, +19q13.3, +20, −Xpter–Xq22 |
4 | F/72 | +1pter–p36, +1p35, +1p32, +1p31.1–p22, −2q33–qter, +3q26–qter, −4q33–qter, +5pter–p10*, +7pter–p21, −7q31, +9pter–p24, −9p21–p12, −12pter–p11.1, −13q10–q21, +14q10–qter*, +15q21–qter, +19p12.1, +19q13.2, +20, −Xpter–p11.1, −Xq10–qter |
5 | F/66 | +1pter–p13, +1q12–q21, +1q25–qter, +2p23–p15, +2q14.1–q24, −3pter–p25, +3q11.2–qter, +4pter–4q31.3, +5pter–q33, +6p23–q15*, +6q22, +7pter–p21, −7q10–qter, +8q10–qter, −9pter–p24, +10pter–p11.2, +11q12, −11q14–qter, −12p12, +12q14–q21.3, +14q10–qter, +15q10–qter, +16q10–qter, −17p12–p11, +17q22–qter, −18p11–qter, +19p13.1–p11.2, +20p11–qter, +21q21.2–qter, −X |
6 | F/77 | −2pter–p24, +2q23–q32, +2q33.2–q35, −3p14–p12, +4p15.2–q32, +5p11–qter, +7q22–q34, −8pter–p12, +8q10–qter, −9pter–p21, +9q22–qter, +10, +12pter–p11, −12q15–qter, −13q12–q31, −15q10–qter, −17pter–p11, −17q11–q22, +20p11.2–qter, +21q21.1–qter, +22q11–qter, −Xpter–p11.2 |
7 | F/64 | +1pter–p13, −2q33, +3q27, −4q33–qter, −5q13–q21, +9pter–p22, +9q22–qter, +10q24–qter, +12pter–p13, −13q21–q33, +14q32–qter, +17, +19pter–p10, +20p11–qter, −21q11.2–q21, +22q12–qter, −Xp11.2–q13. |
F=female; M=male;
in bold–regions where high amplifications were observed.
CGH
CGH analysis was performed from frozen material stored in liquid nitrogen at the Cytogenetic laboratory – CIPM of the Lisbon Portuguese Cancer Institute. Microscopic examination of all tumour samples was performed before CGH analysis, in order to be certain that in all cases at least 70% of the cells had the histological characteristics of the group to which that specimen was ascertain. DNA was isolated using a standard phenol-based method (Sambrook and Russel, 2001).
CGH was performed according to the method of Kallioniemi et al (1994) and as previously described (Roque et al, 2003). Briefly, tumour DNA was labelled with biotin 16dUTP (Enzo-Roche) and normal reference DNA with digoxigenin-11-dUTP (Enzo-Roche), in a standard nick translation reaction. Equal amounts (400 ng) of labelled tumour DNA and labelled reference DNA were co-precipitated with 15 μg of Cot-1-DNA (Invitrogen) in ethanol. After a 3-day hybridisation period, fluorescent detection of the biotin- and digoxigenin-labelled DNAs was accomplished by using avidin–FITC (Jackson Immunoresearch) and antidigoxigenin rhodamine (Enzo-Roche) antibodies, respectively. Samples were counterstained in DAPI in antifade solution (Vector).
For image acquisition, an epifluorescent microscope (Zeiss Axioplan II) equipped with a cooled CCD camera (Photomic Science) and a triple-band beam splitter and emission filters (Chroma Technology, USA) were used. For each tumour, three-colour images (blue, red and green) were acquired from at least 10 metaphases. Image analysis was performed using the CGH analysis software from a CytoVision System (version 2.51 Applied Imaging, Sunderland Tyne & Wear, UK).
Chromosomal regions were interpreted as gained when the red–green profile ratio exceeded 1.25; as highly amplified when the ratio exceeded 1.5; and under-represented when the ratio was less than 0.75. Heterochromatic regions in chromosomes 1, 9, 16 and Y, and the p arms of the acrocentric chromosomes were discarded from the analysis.
Statistical analysis
For statistical analysis, we used the published CGH data of our 20 FTC (Roque et al, 2003). The statistical significance of the differences in CGH imbalances between the three different subgroups of thyroid neoplasms, FTC, PDTC and ATC, were determined using Fisher's exact test using STATAtm 4.0 software. Statistical significance was defined as a two-tailed P≤0.05.
RESULTS
CGH
The chromosomal imbalances observed in FTC were those referred in Roque et al (2003). An overview of the observed alterations in FTC is shown in Figure 1A.
All PDTC presented CGH imbalances (Table 1). Overall, DNA gains were more frequent than losses (Figure 1B). No DNA losses were detected at 3q, 5p/5q, 7q, 9q, 10p, 15q and 20p. Considering only imbalances occurring in at least five tumours (this number was empirically defined as a recurrence threshold), the most frequent changes were gains of 7q occurring, respectively, in 75% (nine out of 12) of the neoplasms, gains of 7p and 14q in 67% (eight out of 12), gains of 12q in 58% (seven out of 12), gains of 1p, 5p/5q, 9p/9q, 12p and loss of 11q in 50% (six out of 12), and gains of 18p and 20q in 42% (five out of 12). Minimal recurring regions of gains were evidenced at 1p21, 3q24–25, 5p14, 7p12 and 7p15–p13, 7q22, 9p13, 12q11–q13, 12q21, 14q13–q21 and 20p12. Minimal regions of losses were defined at 11q23 and 13q21. High-level amplifications were observed in case 4 of this group, involving regions 5p15.1–q11 and 10pter–p11.2.
In the group of anaplastic carcinomas, all cases also presented chromosomal imbalances (Table 2). An overview of the CGH alterations observed in each of the cases is shown in Figure 2A. Gains were detected in all chromosome arms; however, losses were not observed in a series of regions: 1q, 3q, 4p, 5p, 6p/6q, 8q, 10q, 11p, 14q, 16p/16q, 19p/19q and 20p/20q. In ATC, the number of chromosomal arms affected in imbalances in five or more cases was lower than in the PDTC group. This might be due to the smaller number of tumours evaluated (n=7), but it might also reflect a greater interneoplastic genetic heterogeneity. Only four types of chromosomal imbalances were detected as recurrent changes in at least five ATC: gains at 20p/q and losses of Xp in six cases (86%), and gains at 3q and 5p in five of the tumours (71%). At chromosome 7, a minimal region of loss was defined at 7q31. The number of ATC presenting high-level amplifications was higher than in the previous group. High-level amplifications were detected in four of the seven ATC (57%), and different regions were affected in each of the cases. The affected chromosomal regions were 3p12.1-qter, 5pter-p10, 6p23-q15, 9pter-p13, 14q10-qter, 18q 11.1-qter and chromosome 20.
Statistical analysis
Statistical analysis focused on the genomic differences between the three groups of thyroid neoplasms, considering that in follicular cancerigenesis there is a continuum of dedifferentiation and that those imbalances detected as significantly different would harbour genes involved in neoplastic progression. In the PDTC group, in case 10, the two distinct tumour areas (A and B) were considered as independent samples, since the obtained CGH results, although similar, were not identical. We performed two types of statistical evaluation, one considering that FTC may evolve ‘directly’ to ATC and the other that PDTC represents an intermediate distinct entity in the evolution of FTC towards ATC. In the former analysis, it was identified as statistically significant between the two groups: the increase of gains at regions 3q (P<0.05) and 20q (P<0.01), and the increase of losses at 7q (P<0.05) and Xp (P<0.01). Between FTC and PDTC, an increase in the frequencies of gains at: 7p, 9q and 14q and a decrease in the frequencies of losses at 3q and 8q were observed to be significantly different (P<0.05). Between PDTC and ATC, the decrease in the frequencies of gains at 7p and 12q, and the increase in the frequencies of losses at regions 7q and 13q, were also statistically significant (P<0.05).
DISCUSSION
Malignant solid tumours are characterised by chromosomal changes that reveal a tumour-specific distribution at early stages of tumorigenesis. The acquisition of such aberrations is a continuous process, and provides a random background of genetic variability in the tumour. It is suggested that certain genetic alterations that emerge in a cancer cell confer that cell a selective advantage over the others, and cancer progression results from the expansion of clone(s) that collectively acquires the following characteristics: self-sufficiency in growth signals, insensitivity to anti-growth signals, evasion to apoptosis, sustained angiosenesis, limitless replicate potential and capacity of tumour invasion and metastasis (Hanahan D and Weinberg RA, 2000).
In thyroid, the chromosomal imbalances associated with anaplastic transformation of follicular thyroid carcinomas are still largely uncharacterised. On the basis that in a significant number of patients anaplastic cancers develop suddenly after a long period of a neoplasm of the differentiated type has been diagnosed, we compared the frequency of chromosomal imbalances in FTC and ATC, as an approach to decipher the genetic factors implicated in this process. Accordingly, we identified that gains of 3q and 20q and losses of 7q and Xp are to play a significant role in committing follicular cancer cells to anaplasia (Figure 2B).
Gains at 3q were observed in five of the seven ATC tumours and a high-level amplification (HLA) was detected in case 2. Several candidate genes are mapped at 3q, which may be deregulated by copy number increase and may be involved in cellular dedifferentiation, for example, SST, PI3K, or BCL-6. PI3K is a member of a cell signal pathway that is activated by tyrosine kinases via its regulatory p85 subunit, or by RAS via its catalytic p110 subunit (De Vita et al, 2000). In thyroid cells, it was reported (Cass et al, 1999) that activation of PI3K confers a TSH independent DNA synthesis, and it was demonstrated (Gire et al., 2000) that in primary human thyroid cells PIK3 is an absolute requirement for the proliferative response to RAS. RAS-activating point mutations are reported to occur at a high frequency (from 55 to 100%) in undifferentiated thyroid cancers (Suárez, 1998), and thus it is conceivable that an increase in PI3K copy number is implicated in proliferative advantage in these tumours.
A number of genes related to invasion and metastasis (e.g. MMP9 and MMP24), cell cycle and mitotic checkpoints (e.g. STK15) are assigned to 20q. Our findings of a significant association (P<0.01) between 20q over-representation and anaplasia are in keeping with previous results, which reported that 20q gains were only detected in PDTC and ATC (Wreesmann et al, 2002), and with studies performed in thyroid in vitro models (Zitzelsberger et al, 2001). Zitzelsberger et al (2001) detected that 20q gain was an important alteration acquired by thyroid cells in order that they could be able to cause tumours in athymic mice. Interestingly, the authors of this study verified that tumorigenecity in mice required the co-presence of deletions of 9q32–q34 and 7q21–q31, and that varying combinations of these three aberrations could contribute to a more aggressive behaviour.
In our series, we also identified a statistically significant association (P<0.05) between 7q losses and ATC. The common deleted region to all cases with 7q loss in this group of tumours was 7q31. The second most common aphidicolin-inducible fragile site of the human genome (Fra7G) has been located in this region, and loss of heterozygosity (LOH) studies indicate this chromosomal region as a frequent site of allele loss in a variety of tumours (Zenklusen et al, 2000). In the thyroid gland, it was proposed (Trovato et al, 1999) that 7q31 was the site of at least one suppressor gene involved in follicular tumorigenesis.
Six of the seven anaplastic tumours of this series presented deletions at the short arm of the X-chromosome, and a highly significant association (P<0.001) was detected between Xp sequence losses and ATC. An association between Xp loss and undifferentiated thyroid cancers has not been previously reported by CGH or by any other technique (Ward et al, 1998; Kitamura et al, 2001). The DNA losses detected by CGH in our cases were extensive, and we were not able to define minimal chromosomal region(s) of deletions, which may be explained by the limitations of the CGH technique. Alternatively, we may consider that under-representation of a series of genes at Xp may interact or modify the expression of other genes, and therefore promote the progression towards anaplasia. Wynford-Thomas (1997) proposed, based on the use of viral oncogenes (SV40) to mimic the effect of tumour-suppressor gene function loss, that one of the cooperating events of P53 in thyroid anaplastic cancer could be of epigenetic nature, rather than mutational. Our findings of extensive Xp loss with a highly significant association with ATC make this an attractive hypothesis to explore.
Poorly differentiated thyroid carcinomas consist in a morphological and biologically heterogeneous group of tumours that have been proposed to represent an intermediate independent entity in between WDTC and ATC, and not only a subtype of WDTC (Sobrinho-Simões et al, 2002). In keeping with the above proposal, we compared our data in order to determine the genetic imbalances with a significant importance in this progression pathway. Accordingly, we identify that a proportional increase in copy sequences at 3q, 7p, 8q, 9q and 14q, resulting from the significant increase of DNA gains at 7p, 9q and 14q, and the significant decrease of DNA losses at 3q and 8q, would commit the follicular cancer cell to a poorly differentiated phenotype (Figure 2B). CGH data on PDTC are scarce and we are aware of only a report by Wreesmann et al (2002) describing chromosomal imbalances in 15 PDTC. At variance with our results, they are found to be present in PDTC but not in well-differentiated cancers: gains at 1p34–36, 6p21, 9q34, 17q25 and 20q, and losses at 11p11–31, 2q23–33, 4q11–13, 6q21 and 13q21–31. Interestingly, the series of WDTC analysed by Wreesmann et al (2002) was only composed of papillary tumours, a group of differentiated thyroid cancers which is characterised by molecular and chromosomal aberrations distinct from those that were ascertained to FTC development.
From the data obtained in this study, evidenced as important in the progression of PDTC towards anaplasia, were the proportional decrease in copy sequences at 7p, 7q, 12q and 13q, resulting from the significant decrease of DNA gains at 7p and 12q, and from the significant increase of losses at 7q and 13q (Figure 2B). Chromosomal imbalances defined to be of relevance in this pathway of transformation were not identical to those previously referred to be of importance in the ‘direct’ evolution of FTC to ATC. These results are conceivable, taking in account the model that cancer progression is a dynamic process and that in cells with distinct genetic backgrounds the aberrations that continuously emerge and ensure a more aggressive phenotype may not be identical in the different cells. Overall, in the pathway of evolution of PDTC to ATC, loss of sequences seems to represent critical events, namely those observed at chromosomes 7 and 13. Loss of heterozygosity at 13q is a common event in a variety of endocrine tumours, suggesting the involvement of oncosuppressor genes mapped at this chromosomal arm in the pathogenesis of a broad number of endocrine neoplasms. In thyroid neoplasms, LOH studies have only focus at the 13q14 region, and an LOH rate of ≅20% was reported in both benign and malignant tumours (Zedenius et al, 1996; Kitamura et al, 2001). In our CGH study, DNA losses were observed in all groups of neoplasms. However, whereas in follicular carcinomas, we have defined two minimal regions of losses: one at 13q12–14 and other at 13q32–qter (Roque et al, 2003), in PDTC we identified 13q21 as the minimal region of loss. In ATC, large areas of deletions were observed, always including loss at 13q21. Our results suggest that genes involved in dedifferentiation are probably located at 13q21, being distinct from those involved in the pathogenesis of FTC. Of note is that Wreesmann et al (2002) in their CGH analysis reported that deletions at 13q21–q31 were exclusively observed in PDTC and ATC.
In conclusion, this study revealed two distinct pathways of genomic imbalances in anaplastic transformation of follicular thyroid carcinomas: one assigned with a ‘direct’ dedifferentiation of FTC into ATC and the other associated with the existence of an intermediate morphologic entity, the PDTC. This inventory of genetic aberrations increases our knowledge of FTC progression and provides useful indications towards the identification of the genes involved.
Acknowledgments
We are grateful to Ministério da Saúde for funding this project (grant no. 241/01). We thank Dr António Dias Pereira for performing the statistical analysis of the data.
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