Abstract

Context

Genetic analysis of sporadic medullary thyroid carcinoma (MTC) has revealed somatic variants in RET, RAS, and occasionally other genes. However, around 20% of patients with sporadic MTC lack a known genetic driver.

Objective

To uncover potential new somatic or germline drivers, we analyze a distinct cohort of patients with sporadic, very early–onset, and aggressive MTC.

Methods

Germline and somatic DNA exome sequencing was performed in 19 patients, previously tested negative for germline RET variants.

Results

Exome sequencing of 19 germline samples confirmed the absence of RET and identified an NF1 pathogenic variant in 1 patient. Somatic sequencing was successful in 15 tumors revealing RET variants in 80%, predominantly p.Met918Thr, which was associated with disease aggressiveness. In RET-negative tumors, pathogenic variants were found in HRAS and NF1. The NF1 germline and somatic variants were observed in a patient without a prior clinical diagnosis of neurofibromatosis type 1, demonstrating that the loss of heterozygosity of NF1 functions as a potential MTC driver. Somatic copy number alterations analysis revealed chromosomal alterations in 53.3% of tumors, predominantly in RET-positive cases, with losses in chromosomes 9 and 22 being the most prevalent.

Conclusion

This study reveals that within a cohort of early-onset nonhereditary MTC, RET remains the major driver gene. In RET-negative tumors, NF1 and RAS are drivers of sporadic MTC. In addition, in young patients without a RET germline mutation, a careful clinical evaluation with a consideration of germline NF1 gene analysis is ideal to exclude Neurofibromatosis type 1 (NF1).

Medullary thyroid carcinoma (MTC) occurs in 2 primary forms: sporadic (75-80%) and hereditary (20-25%) [1-4]. Hereditary MTC is linked to multiple endocrine neoplasia type 2 (MEN2), an autosomal dominant syndrome categorized as MEN2A or MEN2B based on clinical traits. MEN2A involves MTC, pheochromocytoma, and hyperparathyroidism. Conversely, MEN2B, the rarer form (5%), has a notably early-onset, aggressive MTC, pheochromocytoma, mucosal neuromas, and marfanoid phenotype. The hallmark of hereditary MTC is the existence of a germline RET proto-oncogene pathogenic variant [5, 6].

Sporadic MTC typically presents in the fourth to sixth decades, with somatic RET variants as prevalent oncogenes (40-50% in unselected cohorts, up to 85% in advanced cases) [5, 7-12]. Among the RET variants, p.Met918Thr stands out as the most prevalent and is associated with an aggressive disease course and unfavorable prognosis [10, 11, 13-17]. Less frequent RET variants encompass missense variants at codons 611, 618, 620, 630, 632, 634, 768, 791, and 883, in addition to small indels. HRAS and KRAS variants account for 20% to 30% of the sporadic MTC cases [7, 8, 15, 18-21] and recently, was reported 3 cases of sporadic MTC devoid of RET and RAS alterations, but instead marked by biallelic inactivation of NF1, leading to loss of heterozygosity (LOH) in a tumor suppressor gene known to activate the Ras pathway signaling [22, 23]. The COSMIC (Catalogue of Somatic Mutations in Cancer) database indicates a substantial proportion (around 30%) of sporadic MTC cases lacking unknown drivers, and current research has narrowed it to less than 20% [7, 22-24].

This study explores the molecular profile of a selected cohort of patients with MTC with early-onset and aggressive disease without a pathogenic RET germline variant. This subgroup of patients caught our attention due to the early age of presentation, lack of a germline RET variant and high frequency of local and distant metastatic disease (94% and 68.4%, respectively), similar to our cohort of patients with MEN2B (100% and 72.2%; P = .48 and P = .85, respectively). The structural progression of disease with systemic treatment requirements was also similar between these 2 group of patients.

Material and Methods

Patients

From a cohort of 270 patients with MTC, including 101 sporadic cases, we selected 19 individuals with sporadic MTC, and advanced and early-onset disease. We defined early onset of disease as a diagnosis before the age of 30, considering that sporadic MTC typically manifests between the fourth and sixth decades of life [5]. We conducted whole exome-sequencing on primary or metastatic tumors when the primary tumor was not available, along with matched DNA extracted from blood samples.

The study, approved by the local ethics committee (NP1164/17, approval granted on October 2nd, 2017), required all participants to provide written informed consent after receiving a full explanation of the purpose and nature of all procedures.

Methods

Clinical data were obtained from medical records. Genomic DNA was extracted from the patient's blood lymphocytes, while tumor DNA was extracted from formalin-fixed paraffin-embedded or fresh frozen tumors. An experienced pathologist selected tumoral areas with over 90% tumor cells. For 3 tumors with lower tumor content (around 70%), manual macrodissection was performed to increase the tumor percentage. Germline DNA was extracted by the QIAamp DNA Blood Midi kit (Qiagen#51185), and tumor DNA extraction employed the QIAamp DNA FFPE Advanced UNG kit (Qiagen#56704) and AllPrep DNA/RNA kit (Qiagen#80204) for frozen tumors. DNA quality was analyzed with the Infinium HD FFPE QC Assay kit (Illumina#WG-321-1001).

Whole Exome Sequencing and Analysis

Peripheral blood DNA and tumor genomic DNA samples were randomly fragmented into 300 to 400 bp fragments with adapters attached at both ends using bead-linked transposomes. Library preparation followed Illumina's DNA Prep with Enrichment guidelines (Illumina#20025523). Library quantification and quality analysis were conducted with Qubit Broad Range kit and Tape Hight Sensitivity kit (Agilent#5067-5585), respectively.

Each captured library was loaded onto the HiSeq 2500 platform with HiSeqSBS kit V4 150 cycles (Illumina). Adapter sequences were removed from raw data using the bbduk tool from bbmap, and raw data underwent quality control analysis with fastqc. Paired-end reads aligned to the hs37d5 (hg19 + decoy) assembly of the human genome using minimap2 (version2.24-r1122). Reads sorting and duplicate marking were performed with the bamsormadup tool from biobambam2 (version2.0.183).

Germline variants were called using freebayes, while somatic variants were identified with Mutect2 from GATK (version 4.2.6.0) following recommended best practices workflows. Germline and somatic variants were annotated with Annovar, Franklin by Genoox, and VEP (Ensembl Variant Effect Predictor). All germline variants were classified according to the American College of Medical Genetics and Genomics guidelines, we included all variants classified as pathogenic or likely pathogenic [25]

Mutalyzer was applied to confirm variant nomenclature [26] Somatic copy number alterations (SCNAs), LOH analysis, and estimation of tumor ploidy and purity were performed using PureCN.

Statistical Analysis

Categorical variables were analyzed by chi-squared and Fisher's tests when appropriate, followed by Cramer's V test when significant. The Kruskal‒Wallis test was used for the comparison of primary tumor size and the categorical variables listed above. P < .05 was considered to be statistically significant.

Results

Clinical Characteristics of the Patients

Among the 19 selected patients, the median age was 21 years (range 8-29). Four out of 19 patients (21%) were 12 years of age or younger and an additional 4 out of 19 (21%) patients were between the ages of 13 and 18. Additionally, 14 out of 19 patients (73.7%) were female. All had cervical lymph node metastases at diagnosis, with 10.5% (2/19) having distant metastases. The median primary tumor size was 4 cm (range 0.6-10.3), multifocality was detected in 26.3% (5/19), and C-cell hyperplasia areas were present in 10.5% (2/19). Median follow-up duration was 9.8 years (range 0.5-29), and, at the time of analysis, 73.7% (14/19) had distant metastases, with 47% (9/19) having 3 or more metastatic sites. Bone metastases were the most common (78.5%), followed by lung and liver (64.3%). During follow-up, 10 patients (52.6%) experienced radiographic disease progression requiring tyrosine kinase inhibitor (TKI) therapy. Two patients died due to disease progression at the ages of 17 and 30. Clinical and follow-up characteristics are summarized (Tables 1 and 2).

Table 1.

Patients characteristics of the study cohort

Patient characteristicsNo. of patients (%)
Number of patients19
Female sex14 (73.7%)
Median age at diagnosis (range), years21 (8-29)
RET germline mutation0
Median size of primary tumor (cm)4 (0.6-10.3)
Multifocality/C-cell hyperplasia5 (26%)/2 (10.5%)
Initial tumor stage (AJCC 8)
 I0
 II0
 III4 (21)
 IVA11 (57.8)
 IVB0
 IVC3 (15.7)
Initial treatment
 Thyroidectomy and central LN dissection17 (89.4)
 + Lateral LN dissection10 (52.6)
 Unresectable2 (10.5)
Response to initial treatment
 Excellent0
 Biochemical incomplete2 (10.5)
 Structural incomplete17 (89.4)
Patient characteristicsNo. of patients (%)
Number of patients19
Female sex14 (73.7%)
Median age at diagnosis (range), years21 (8-29)
RET germline mutation0
Median size of primary tumor (cm)4 (0.6-10.3)
Multifocality/C-cell hyperplasia5 (26%)/2 (10.5%)
Initial tumor stage (AJCC 8)
 I0
 II0
 III4 (21)
 IVA11 (57.8)
 IVB0
 IVC3 (15.7)
Initial treatment
 Thyroidectomy and central LN dissection17 (89.4)
 + Lateral LN dissection10 (52.6)
 Unresectable2 (10.5)
Response to initial treatment
 Excellent0
 Biochemical incomplete2 (10.5)
 Structural incomplete17 (89.4)

Abbreviations: LN, lymph node; RET, rearranged during transfection gene;

Table 1.

Patients characteristics of the study cohort

Patient characteristicsNo. of patients (%)
Number of patients19
Female sex14 (73.7%)
Median age at diagnosis (range), years21 (8-29)
RET germline mutation0
Median size of primary tumor (cm)4 (0.6-10.3)
Multifocality/C-cell hyperplasia5 (26%)/2 (10.5%)
Initial tumor stage (AJCC 8)
 I0
 II0
 III4 (21)
 IVA11 (57.8)
 IVB0
 IVC3 (15.7)
Initial treatment
 Thyroidectomy and central LN dissection17 (89.4)
 + Lateral LN dissection10 (52.6)
 Unresectable2 (10.5)
Response to initial treatment
 Excellent0
 Biochemical incomplete2 (10.5)
 Structural incomplete17 (89.4)
Patient characteristicsNo. of patients (%)
Number of patients19
Female sex14 (73.7%)
Median age at diagnosis (range), years21 (8-29)
RET germline mutation0
Median size of primary tumor (cm)4 (0.6-10.3)
Multifocality/C-cell hyperplasia5 (26%)/2 (10.5%)
Initial tumor stage (AJCC 8)
 I0
 II0
 III4 (21)
 IVA11 (57.8)
 IVB0
 IVC3 (15.7)
Initial treatment
 Thyroidectomy and central LN dissection17 (89.4)
 + Lateral LN dissection10 (52.6)
 Unresectable2 (10.5)
Response to initial treatment
 Excellent0
 Biochemical incomplete2 (10.5)
 Structural incomplete17 (89.4)

Abbreviations: LN, lymph node; RET, rearranged during transfection gene;

Table 2.

Follow-up and therapeutic characteristics of the study cohort

Follow-up characteristics(%)
Median calcitonin of patients not requiring TKIa (range), pg/mL647 (12.5-4477)
Median calcitonin of patients requiring TKIa11 776 (125-139 165)
Calcitonin doubling time before TKI
 <12 months2 (20)
 >24 months3 (30)
 Unknownb5 (50)
Median CEA of patients not requiring TKI (range), ng/mL2.9 (1.1-114)
Median CEA of patients requiring TKIa (range), ng/mL468 (19.9-6894)
CEA doubling time before TKI
 <12 months1 (10)
 >24 months4 (40)
 Unknownb5 (50)
Median follow-up (range), years9.8 (0.5-25)
Distant metastases at the end of follow-up14/19 (73.7)
Sites of metastases at the end of follow-up
 Liver9/14 (64.3)
 Mediastinal lymph nodes5/14 (35.7)
 Lung9/14 (64.3)
 Bones11/14 (78.5)
Systemic treatment (TKI)11/19 (57.8)
First-line vandetanib7/11 (63.6)
First-line cabozantinib2/11 (18.2)
First-line sorafenib2/11 (18.2)
Second-line vandetanib1/11 (9)
Median age at initiation TKI (years)22 (11-43)
Median duration of treatment (range), months56 (1.5-144)
Median duration of follow up (range), months122 (7-346)
Disease related deaths2/19 (10.5)
Follow-up characteristics(%)
Median calcitonin of patients not requiring TKIa (range), pg/mL647 (12.5-4477)
Median calcitonin of patients requiring TKIa11 776 (125-139 165)
Calcitonin doubling time before TKI
 <12 months2 (20)
 >24 months3 (30)
 Unknownb5 (50)
Median CEA of patients not requiring TKI (range), ng/mL2.9 (1.1-114)
Median CEA of patients requiring TKIa (range), ng/mL468 (19.9-6894)
CEA doubling time before TKI
 <12 months1 (10)
 >24 months4 (40)
 Unknownb5 (50)
Median follow-up (range), years9.8 (0.5-25)
Distant metastases at the end of follow-up14/19 (73.7)
Sites of metastases at the end of follow-up
 Liver9/14 (64.3)
 Mediastinal lymph nodes5/14 (35.7)
 Lung9/14 (64.3)
 Bones11/14 (78.5)
Systemic treatment (TKI)11/19 (57.8)
First-line vandetanib7/11 (63.6)
First-line cabozantinib2/11 (18.2)
First-line sorafenib2/11 (18.2)
Second-line vandetanib1/11 (9)
Median age at initiation TKI (years)22 (11-43)
Median duration of treatment (range), months56 (1.5-144)
Median duration of follow up (range), months122 (7-346)
Disease related deaths2/19 (10.5)

Abbreviations: CEA, carcinoembryonic antigen; TKI, tyrosine kinase inhibitor.

aAt initiation of TKI.

bTwo patients initiated therapy at diagnosis.

Table 2.

Follow-up and therapeutic characteristics of the study cohort

Follow-up characteristics(%)
Median calcitonin of patients not requiring TKIa (range), pg/mL647 (12.5-4477)
Median calcitonin of patients requiring TKIa11 776 (125-139 165)
Calcitonin doubling time before TKI
 <12 months2 (20)
 >24 months3 (30)
 Unknownb5 (50)
Median CEA of patients not requiring TKI (range), ng/mL2.9 (1.1-114)
Median CEA of patients requiring TKIa (range), ng/mL468 (19.9-6894)
CEA doubling time before TKI
 <12 months1 (10)
 >24 months4 (40)
 Unknownb5 (50)
Median follow-up (range), years9.8 (0.5-25)
Distant metastases at the end of follow-up14/19 (73.7)
Sites of metastases at the end of follow-up
 Liver9/14 (64.3)
 Mediastinal lymph nodes5/14 (35.7)
 Lung9/14 (64.3)
 Bones11/14 (78.5)
Systemic treatment (TKI)11/19 (57.8)
First-line vandetanib7/11 (63.6)
First-line cabozantinib2/11 (18.2)
First-line sorafenib2/11 (18.2)
Second-line vandetanib1/11 (9)
Median age at initiation TKI (years)22 (11-43)
Median duration of treatment (range), months56 (1.5-144)
Median duration of follow up (range), months122 (7-346)
Disease related deaths2/19 (10.5)
Follow-up characteristics(%)
Median calcitonin of patients not requiring TKIa (range), pg/mL647 (12.5-4477)
Median calcitonin of patients requiring TKIa11 776 (125-139 165)
Calcitonin doubling time before TKI
 <12 months2 (20)
 >24 months3 (30)
 Unknownb5 (50)
Median CEA of patients not requiring TKI (range), ng/mL2.9 (1.1-114)
Median CEA of patients requiring TKIa (range), ng/mL468 (19.9-6894)
CEA doubling time before TKI
 <12 months1 (10)
 >24 months4 (40)
 Unknownb5 (50)
Median follow-up (range), years9.8 (0.5-25)
Distant metastases at the end of follow-up14/19 (73.7)
Sites of metastases at the end of follow-up
 Liver9/14 (64.3)
 Mediastinal lymph nodes5/14 (35.7)
 Lung9/14 (64.3)
 Bones11/14 (78.5)
Systemic treatment (TKI)11/19 (57.8)
First-line vandetanib7/11 (63.6)
First-line cabozantinib2/11 (18.2)
First-line sorafenib2/11 (18.2)
Second-line vandetanib1/11 (9)
Median age at initiation TKI (years)22 (11-43)
Median duration of treatment (range), months56 (1.5-144)
Median duration of follow up (range), months122 (7-346)
Disease related deaths2/19 (10.5)

Abbreviations: CEA, carcinoembryonic antigen; TKI, tyrosine kinase inhibitor.

aAt initiation of TKI.

bTwo patients initiated therapy at diagnosis.

Spectrum of the Germline Analysis

Exome sequencing of 19 germline specimens revealed a patient harboring an NF1 variant (c.1527 + 1G>T), classified as pathogenic by American College of Medical Genetics and Genomics, not found in population databases (ExAC), and associated with NF1 (Fig. 1) [27, 28]. Experimental studies confirmed its impact on mRNA splicing and protein function disruption [27].

Mutational profile of the 19 sporadic MTC cases diagnosed before 30 years old, identified by the somatic (top) and germline (bottom) exome. Each column corresponds to a single case. Genetic variations are listed on the left. The red squares correspond to pathogenic variants, whereas the blue squares correspond to variants of uncertain significance (VUS) for the MTC phenotype and the gray squares identify 4 cases without somatic exome analysis: tumor not available (1 case) and bad quality DNA (3 cases).
Figure 1.

Mutational profile of the 19 sporadic MTC cases diagnosed before 30 years old, identified by the somatic (top) and germline (bottom) exome. Each column corresponds to a single case. Genetic variations are listed on the left. The red squares correspond to pathogenic variants, whereas the blue squares correspond to variants of uncertain significance (VUS) for the MTC phenotype and the gray squares identify 4 cases without somatic exome analysis: tumor not available (1 case) and bad quality DNA (3 cases).

No germline RET variants were identified in the cohort, and aside from the NF1 variant, no other pathogenic variants were identified. Variants of unknown significance (VUS) of genes involved in tumorigenesis such as FOXE1, KAT6A, LZTR1, NTHL1, POLR2E, and TERT were observed in 5 patients harboring somatic drivers. Additionally, VUS (CDON and NTHL1) were identified in 2 patients for whom tumor DNA was not available.

Spectrum of the Somatic Analysis—Single Variants

Exome somatic sequencing was performed on 18 available tumors: 3 were excluded due to poor DNA quality, leaving us with 15 tumors. DNA was obtained from the primary thyroid tumor in 40% (6/15) and lymph node metastases in 60% (9/15) of cases. Most samples (93.3%, 14/15) were formalin-fixed paraffin-embedded, with 1 fresh frozen tumor from a lymph node biopsy.

In our cohort, 93.3% (14/15) harbored single mutually exclusive somatic alterations, with 1 case showing no variants. RET was the most frequently altered gene, found in 80% (12/15). The most common RET somatic variant was p.Met918Thr in exon 16, present in 60% (9/15). Other RET variants were observed in 20% (3/15) of patients, including 2 reported in the COSMIC database (p.Cys630Arg and p.Arg873Trp) [24], and 1 novel RET in-frame insertion, p.Glu632_Ser645dup (Table 3).

Table 3.

Somatic pathogenic variants identified in 19 young patients with sporadic medullary thyroid carcinoma

PtTissueTumor cells %PloidyDriverPathogenic variantAFChromosomal changes
1LN711.911RETp.C630R0.3753/22 losses
2Thyroid631.991RETp.M918T0.33222 loss
3LN281.962NF1p.Thr1065Asnfs*240.284
4LN591.971RETp.R873W0.3311q/21 losses
5Thyroid591.922RETp.M918T0.2898p/9q loss
6LN701.929HRASp.Ala11_Gly12dup0.3921p/4q losses
7Thyroid701.990RETp.M918T0.2
8Thyroid591.987RETp.M918T0.2139 copy neutral LOH
9LN592.007RETp.M918T0.212
11Thyroid841.955RETp.M918T0.454
12Thyroid551.977RETp.Glu632_Ser645dup0.51319 p copy gain 21/22 losses
13LN551.980
14LN831.987RETp.M918T0.28
15LN552.019RETp.M918T0.249
19LN641.700RETp.M918T0.3341p/3/4/5q/9/13 losses
PtTissueTumor cells %PloidyDriverPathogenic variantAFChromosomal changes
1LN711.911RETp.C630R0.3753/22 losses
2Thyroid631.991RETp.M918T0.33222 loss
3LN281.962NF1p.Thr1065Asnfs*240.284
4LN591.971RETp.R873W0.3311q/21 losses
5Thyroid591.922RETp.M918T0.2898p/9q loss
6LN701.929HRASp.Ala11_Gly12dup0.3921p/4q losses
7Thyroid701.990RETp.M918T0.2
8Thyroid591.987RETp.M918T0.2139 copy neutral LOH
9LN592.007RETp.M918T0.212
11Thyroid841.955RETp.M918T0.454
12Thyroid551.977RETp.Glu632_Ser645dup0.51319 p copy gain 21/22 losses
13LN551.980
14LN831.987RETp.M918T0.28
15LN552.019RETp.M918T0.249
19LN641.700RETp.M918T0.3341p/3/4/5q/9/13 losses

Abbreviations: AF, allele fraction; HRAS, HRas proto-oncogene gene; LOH, loss of heterozygosity; LN, lymph node; NF1, neurofibromin1 gene; Pt, patient number; RET, rearranged during transfection gene.

Table 3.

Somatic pathogenic variants identified in 19 young patients with sporadic medullary thyroid carcinoma

PtTissueTumor cells %PloidyDriverPathogenic variantAFChromosomal changes
1LN711.911RETp.C630R0.3753/22 losses
2Thyroid631.991RETp.M918T0.33222 loss
3LN281.962NF1p.Thr1065Asnfs*240.284
4LN591.971RETp.R873W0.3311q/21 losses
5Thyroid591.922RETp.M918T0.2898p/9q loss
6LN701.929HRASp.Ala11_Gly12dup0.3921p/4q losses
7Thyroid701.990RETp.M918T0.2
8Thyroid591.987RETp.M918T0.2139 copy neutral LOH
9LN592.007RETp.M918T0.212
11Thyroid841.955RETp.M918T0.454
12Thyroid551.977RETp.Glu632_Ser645dup0.51319 p copy gain 21/22 losses
13LN551.980
14LN831.987RETp.M918T0.28
15LN552.019RETp.M918T0.249
19LN641.700RETp.M918T0.3341p/3/4/5q/9/13 losses
PtTissueTumor cells %PloidyDriverPathogenic variantAFChromosomal changes
1LN711.911RETp.C630R0.3753/22 losses
2Thyroid631.991RETp.M918T0.33222 loss
3LN281.962NF1p.Thr1065Asnfs*240.284
4LN591.971RETp.R873W0.3311q/21 losses
5Thyroid591.922RETp.M918T0.2898p/9q loss
6LN701.929HRASp.Ala11_Gly12dup0.3921p/4q losses
7Thyroid701.990RETp.M918T0.2
8Thyroid591.987RETp.M918T0.2139 copy neutral LOH
9LN592.007RETp.M918T0.212
11Thyroid841.955RETp.M918T0.454
12Thyroid551.977RETp.Glu632_Ser645dup0.51319 p copy gain 21/22 losses
13LN551.980
14LN831.987RETp.M918T0.28
15LN552.019RETp.M918T0.249
19LN641.700RETp.M918T0.3341p/3/4/5q/9/13 losses

Abbreviations: AF, allele fraction; HRAS, HRas proto-oncogene gene; LOH, loss of heterozygosity; LN, lymph node; NF1, neurofibromin1 gene; Pt, patient number; RET, rearranged during transfection gene.

Only 1 HRAS pathogenic variant was detected (6.6%), an in-frame insertion variant (p.Ala11_Gly12dup) with a known pathogenic association with MTC (Table 3) [20]. This patient was diagnosed with MTC at age 8 and showed long-term follow-up with stable biochemical disease (calcitonin 12.5 pg/mL, carcinoembryonic antigen [CEA] 1.93 ng/mL) over 15.6 years.

A novel somatic NF1 in-frame insertion variant (p.Thr1065Asnfs*24) was found in the same patient with a germline NF1 variant (c.1527 + 1G>T), suggesting biallelic inactivation of this tumor suppressor gene (Table 3). Interestingly, this 22-year-old woman was referred with suspicion of MEN2B due to the presence of a marfanoid habitus but without other MEN2B features. Evaluation failed to reveal a RET germline variant but the finding of 3 small café-au-lait spots suggested an undefined genetic syndrome. Upon finding the germline NF1 variant, several years after presentation, a more detailed examination revealed 12 café-au-lait spots and axillary freckling but no neurofibromas. At diagnosis, preoperative serum calcitonin was 3182 pg/mL. Total thyroidectomy with bilateral central node dissection revealed a 2-cm unifocal MTC with C-cell hyperplasia and central neck lymph nodes metastases (T1bN1a). She remained with biochemical incomplete disease until 3 years later when cervical recurrence was documented and treated with neck dissection. Seven years after diagnosis, liver metastases were detected but disease remains stable and under surveillance.

Spectrum of the Somatic Analysis—SCNA Analysis

Tumor chromosomal instability, assessed via SCNA analysis (involving whole chromosome or single arm alterations), affected 53.3% (8/15) of cases, as detailed in Table 3 and elsewhere (Figs. S1-S8) [29].

Analyzing the SCNA prevalence based on somatic RET variants, among the 12 RET-positive tumors, 7 (58.3%) exhibited SCNAs, as did 1 of 3 RET-negative tumors. The tumor harboring the NF1 variant did not show any SCNA. In the RAS-positive tumor, 2 partial losses occurred in chromosomes 1 and 4. Within the 7 RET-positive tumors with SCNA, there were 17 chromosome losses, 1 chromosome gain, and 1 copy-neutral LOH event. The affected chromosome count varied: 1 in 2 cases, 2 in 4 cases, and 1 with multiple monosomies (chromosomes 1p, 3, 4, 5q, 9, and 13). The most common losses were in chromosomes 9 and 22, each present in 37.5% (3/8) of SCNA-positive tumors, exclusively in RET-positive cases.

Correlation of the Somatic Findings With Prognosis

We have correlated the presence of somatic RET and or SCNA with several prognostic features: TNM at diagnosis, development of distant metastasis during follow-up, need for systemic treatment, or mortality. Within this cohort of young patients and aggressive disease, we could still find a significant correlation between the presence of a RET variant and the need for systemic treatment (P = .03; V = 0.53). However, we could not find a significant correlation between the number of SCNAs per tumor, or the presence of losses in chromosomes 22 and 9 with worse outcomes, independent of the presence of a RET variant (P = .77).

Despite not observing a significant correlation between SCNA and poor prognosis in our cohort, 1 case presenting with multiple chromosome losses (1p/3/4/5q/9 and 13) drew our attention. A 16-year-old patient (patient 19, Table 3) with a RET 918 MTC presented with locally advanced disease and painful extensive bone involvement with disproportionately elevated CEA to calcitonin levels, 79 pg/mL and 4999 ng/mL, respectively; suggesting disease dedifferentiation. Despite receiving bone radiotherapy, cryoablation, and vandetanib, she continued to progress and died within 6 months (Fig. 2).

Clinical and tumor molecular characteristics of the patient harboring multiple somatic monosomy. (A) Bone scan and 18F-FDG PET/CT showing multiple lytic lesions involving the skull, and axial and appendicular skeleton. (B) Result of NGS showing absence of RET germinative mutation and presence of a somatic M918T mutation. (C) Somatic copy number alteration analysis (SCNA) with losses of chromosomes 1p, 3, 4, 5, 9, and 13.
Figure 2.

Clinical and tumor molecular characteristics of the patient harboring multiple somatic monosomy. (A) Bone scan and 18F-FDG PET/CT showing multiple lytic lesions involving the skull, and axial and appendicular skeleton. (B) Result of NGS showing absence of RET germinative mutation and presence of a somatic M918T mutation. (C) Somatic copy number alteration analysis (SCNA) with losses of chromosomes 1p, 3, 4, 5, 9, and 13.

Clinical and Pathological Characteristics of the Patients Harboring the SCNA in the Chromosome 22

Three patients harboring single RET somatic variants (p.Cys630Arg, p.Met918Thr and p.Glu632_Ser645dup) showed complete loss of chromosome 22. Two were diagnosed with MTC at 18 and 29 years old, presenting metastatic neck lateral lymph node disease. After 4 and 15 years, they initiated sorafenib treatment (a RET and RAF kinase and vascular endothelial growth factor inhibitor) due to progressive metastases involving more than 3 sites. Remarkably, they have demonstrated enduring responses, surpassing 10 years on treatment. The third patient, diagnosed with MTC (T2N1a) at age 15, developed stable metastatic liver disease after 3 years and has remained stable to date.

Discussion

In our pursuit for a deeper understanding of sporadic MTC pathogenesis, we assembled an enriched cohort, predominantly composed of young patients with nonhereditary MTC. These individuals were selected from a larger cohort of 270 patients with MTC, of whom 101 had sporadic disease. Within this subset of sporadic cases, 19 patients were chosen based on their diagnosis before the age of 30, and, among them, 8 received their diagnoses before reaching the age of 18. All of these patients exhibited aggressive clinical profiles similar to our patients with MEN2B. This cohort stands as a unique population in whom we believed the identification of distinct genetic variants would be more likely.

In this study, we conducted germline and somatic exome analyses on 19 and 15 patients, respectively. Germline testing confirmed the absence of a germline RET variant and revealed an NF1 pathogenic variant (c.1527 + 1G>T). No other germline pathogenic variants were identified.

Among the 15 patients with tumor profiling, 93.3% (14/15) harbored single and mutually exclusive somatic alterations. In 1 case, where both blood and tumor samples were analyzed, an extensive analysis failed to reveal a clear driver. Regarding the somatic pathogenic variants well-known to cause MTC, HRAS occurred in 6.6% (1/15), whereas RET variants were present in 80% (12/15). Notably, in a patient without somatic RET and RAS, both germline and somatic NF1 pathogenic variants were identified.

Regarding the 12 patients harboring RET somatic variants, p.Met918Thr was the most common in 75% (9/12) and other RET somatic variants (p.Cys630Arg, p.Arg873Trp and 1 novel insertion in-frame p.Glu632_Ser645dup) were found in 25% (3/12) of patients. In the literature, sporadic MTC has somatic RET variants as the most prevalent driver oncogene involved in tumorigenesis, reaching up to 85% in advanced cases [10, 17]. Clearly, the most frequent RET somatic variant is p.Met918Thr [10, 11, 13, 15, 16] which exhibits higher frequency in studies that included patients with primary tumor size exceeding 2 cm and advanced disease [13]. We have validated this findings within our cohort, solidifying RET as the primary driver oncogene, even in young patients with aggressive disease, as observed in 80% of our cases. Notably, the p.Met918Thr pathogenic variant was the most common, accounting for 75% of our RET cases. Within this cohort, we were able to demonstrate that the presence of any somatic RET variant significantly correlated with disease progression requiring systemic treatment, as previously observed in nonselected MTC cohorts [10, 11].

Regarding SCNAs, we could not find significant correlation between the number of SCNAs per tumor or the presence of chromosome 22 and 9 losses with a worse outcome, independent of the presence of a RET variant (P = .77). In our cohort, an SCNA was observed in 53.3% (8/15) of tumors. The most prevalent were losses of chromosomes 9 and 22, occurring only in RET-positive tumors, as reported previously [30]. Association with poor outcomes has been previously observed with alterations in chromosomes 3, 9, 10, and 16, but not with SCNAs in chromosome 22 [30, 31].

We have not found a correlation between chromosome 9 alterations and poor prognosis, likely because our cohort was predominantly composed of patients with aggressive disease. However, in our patient with the most aggressive disease, tumor analysis revealed a complete loss of chromosome 9 in addition to multiple other losses (1p, 3, 4, 5q and 13). She presented with poorly differentiated MTC at age 16 and failed local and systemic treatments, rapidly progressing to death (Fig. 2, Table 3).

In the study by Ramone et al, chromosome 22 loss did not correlate with poor outcome which agrees with our findings [30]. Chromosome 22 encompasses several tumors suppressor genes such as LZTR1, NF2, CHEK2, and SMARCB1. In fact, pathogenic variants leading to the inactivation of the LZTR1 have been linked to strong activation of the Ras/MAPK pathway leading to diseases such as schwannomatosis and RASopathies [32]. Interestingly, in our cohort, 2 out of 3 patients exhibiting chromosome 22 loss have demonstrated a sustained response to sorafenib, a multikinase inhibitor with potent inhibitory effects on Raf-1 and B-Raf, in addition to its action on RET, VEGFR, PDGF, and c-Kit. These patients have maintained their response to sorafenib for longer than 10 years. This is remarkable as in our own experience, patients with aggressive metastatic disease exhibited a poor response to sorafenib [33]. Therefore, a question to be raised is whether loss of chromosome 22 could serve as a marker of good response to Raf inhibition therapy.

The finding of a novel in-frame insertion variant NF1 (p.Thr1065Asnfs*24) in the same patient harboring a germline NF1 pathogenic variant, strongly suggests biallelic inactivation of this tumor suppressor gene [34, 35]. Neurofibromatosis 1 (NF1) is a multisystem disorder characterized by café-au-lait spots of the skin, intertriginous freckling, multiple cutaneous neurofibromas, subcutaneous or deep nodular neurofibromas, plexiform neurofibromas, and characteristic ocular signs [36]. Many clinical features of NF1 increase in frequency with age, and some individuals who have unequivocal NF1 as adults cannot be diagnosed in early childhood, before NF1 features become apparent [37]. MTC has been associated with NF1 but up to recent reports, it was unclear whether these tumors were caused by a second hit of the NF1 gene. There are few reports demonstrating association of MTC with NF1, and while most of these reports did not include germline or somatic genetic analysis, at least 2 studies identified both RET and NF1 germline variants in the same patients [38-41].

More recently, Shi et al, identified a pathogenic somatic NF1 variant in a MTC tumor of a patient with the diagnosis of NF1 [23]. After this report, the analysis of the NF1 gene in 2 patients with nonhereditary, non-RET, and non-RAS MTC identified NF1 somatic pathogenic variants: 1 in a patient with confirmed diagnosis of NF1 and another in a non-NF1 patient with 2 acquired somatic NF1 genetic alterations [22]. These findings support a pathogenic role of NF1 in MTC tumorigenesis. The loss of neurofibromin function, a protein known to downregulate the Ras pathway, can activate the GTPase activity of Ras/MAPK and PI3K/AKT/mTOR pathways [36], potentially explaining its role as a driver in MTC.

Previous whole-exome studies on sporadic MTC have been limited by a lack of data regarding the correlation between tumoral pathogenic variants and clinical and pathological features. Our study offers valuable insights to the literature, shedding light on the molecular profile of sporadic MTC in a well-characterized cohort of patients with aggressive and early-onset disease. These molecular findings, along with patient's clinical data, may hold potential clinical implications for tailoring therapies and optimizing patient management.

In the current landscape of potent RET-specific inhibitors, the demonstration of the high frequency of RET mutations, along with the importance of the Ras–MAPK pathway in tumor development and growth (93.3% of the tumors analyzed had driver variants observed in this pathway), solidifies the importance of tumor somatic analysis to identify the best therapeutic modality for young patients with advanced disease. Furthermore, our findings suggest a potential role of SCNAs as a marker of response to therapy.

We acknowledge the limitations of our study, particularly the relatively small sample size, despite its inclusion of a particularly unique, rare, and uncommon cohort. The utilization of both primary tumor and lymph node samples, especially in cases where primary tumor samples were unavailable, alongside the extensive use of formalin-fixed paraffin-embedded tissue samples, can be attributed to the retrospective nature of our study. Furthermore, it is important to recognize the constraints of exomic sequencing analysis, particularly in its ability to analyze rearrangements and its limitation in examining regulatory and deep intronic regions compared with genome sequencing.

Despite these limitations, we believe our study makes a significant contribution, particularly as it is the first of its kind focusing solely on young patients with aggressive disease. Given our decision to specifically select a cohort resembling our patients with MEN2B—comprising young individuals with aggressive disease—the sample size was inherently limited for analyzing correlations between molecular abnormalities and disease aggressiveness behavior.

This study confirms RET as a major genetic driver (80%) even in young patients with nonhereditary MTC and demonstrates NF1 as a new driver in addition to RAS in RET-negative tumors. The finding of a germline and somatic NF1 variant in a young patient without a previous diagnosis or family history of NF1 should serve as an alert for a thorough evaluation to exclude NF1. In our cohort, SCNAs were prevalent and mostly found in RET-positive tumors. In this limited cohort of patients with aggressive disease, we failed to demonstrate a correlation with a poor outcome but identified a potential role of loss of chromosome 22 as a marker of TKI treatment response. The clinical significance of these findings is still unclear but deserves further investigation.

Funding

This study was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo - FAPESP (Projeto de Pesquisa Regular 2019/20300-5).

Disclosures

All the authors declare that there are no conflicts of interest or disclosures that could affect the impartiality of this research.

Data Availability

Original data generated and analyzed during this study are included in this published article or in the data repositories listed in References.

References

1

Lim
H
,
Devesa
SS
,
Sosa
JA
,
Check
D
,
Kitahara
CM
.
Trends in thyroid cancer incidence and mortalityin the United States, 1974-2013
.
JAMA
.
2017
;
317
(
13
):
1338
1348
.

2

Pereira
M
,
Williams
VL
,
Hallanger Johnson
J
,
Valderrabano
P
.
Thyroid cancer incidence trends in the United States: association with changes in professional guideline recommendations
.
Thyroid
.
2020
;
30
(
8
):
1132
1140
.

3

Fialkowski
EA
,
Moley
JF
.
Current approaches to medullary thyroid carcinoma, sporadic and familial
.
J Surg Oncol
.
2006
;
94
(
8
):
737
747
.

4

Lodish
MB
,
Stratakis
CA
.
RET oncogene in MEN2, MEN2B, MTC and other forms of thyroid cancer
.
Expert Rev Anticancer Ther
.
2008
;
8
(
4
):
625
632
.

5

Wells
SA
,
Asa
SL
,
Dralle
H
, et al.
Revised American Thyroid Association guidelines for the management of medullary thyroid carcinoma
.
Thyroid
.
2015
;
25
(
6
):
567
610
.

6

Kloos
RT
,
Eng
C
,
Evans
DB
, et al.
Medullary thyroid cancer: management guidelines of the American Thyroid Association
.
Thyroid
.
2009
;
19
(
6
):
565
612
.

7

Ciampi
R
,
Romei
C
,
Ramone
T
, et al.
Genetic landscape of somatic mutations in a large cohort of sporadic medullary thyroid carcinomas studied by next-generation targeted sequencing
.
iScience
.
2019
;
20
:
324
336
.

8

Agrawal
N
,
Jiao
Y
,
Sausen
M
, et al.
Exomic sequencing of medullary thyroid cancer reveals dominant and mutually exclusive oncogenic mutations in RET and RAS
.
J Clin Endocrinol Metab
.
2013
;
98
(
2
):
E364
E369
.

9

Heilmann
AM
,
Subbiah
V
,
Wang
K
, et al.
Comprehensive genomic profiling of clinically advanced medullary thyroid carcinoma
.
Oncology
.
2016
;
90
(
6
):
339
346
.

10

Romei
C
,
Casella
F
,
Tacito
A
, et al.
New insights in the molecular signature of advanced medullary thyroid cancer: evidence of a bad outcome of cases with double RET mutations
.
J Med Genet
.
2016
;
53
(
11
):
729
734
.

11

Elisei
R
,
Barbara
C
,
Romei
C
, et al.
Prognostic significance of somatic RET oncogene mutations in sporadic medullary thyroid cancer: a 10-year follow-up study
.
J Clin Endocrinol Metab
.
2008
;
93
(
3
):
682
687
.

12

Chang
YS
,
Chang
CC
,
Huang
HY
,
Lin
CY
,
Yeh
KT
,
Chang
JG
.
Detection of molecular alterations in Taiwanese patients with medullary thyroid cancer using whole-exome sequencing
.
Endocr Pathol
.
2018
;
29
(
4
):
324
331
.

13

Romei
C
,
Ugolini
C
,
Cosci
B
, et al.
Low prevalence of the somatic M918T RET mutation in micro-medullary thyroid cancer
.
Thyroid
.
2012
;
22
(
5
):
476
481
.

14

Romei
C
,
Ciampi
R
,
Casella
F
, et al.
RET mutation heterogeneity in primary advanced medullary thyroid cancers and their metastases
.
Oncotarget
.
2018
;
9
(
11
):
9875
9884
.

15

Moura
M
,
Cavaco
B
,
Pinto
A
, et al.
Correlation of RET somatic mutations with clinicopathological features in sporadic medullary thyroid carcinomas
.
Br J Cancer
.
2009
;
100
(
11
):
1777
1783
.

16

Marsh
DJ
,
Learoyd
DL
,
Andrew
SD
, et al.
Somatic mutations in the RET proto-oncogene in sporadic medullary thyroid carcinoma
.
Clin Endocrinol (Oxf)
.
1996
;
44
(
3
):
249
257
.

17

Sahakian
N
,
Castinetti
F
,
Romanet
P
.
Molecular basis and natural history of medullary thyroid cancer: it is (almost) all in the RET
.
Cancers (Basel)
.
2023
;
15
(
19
):
4865
.

18

Simbolo
M
,
Mian
C
,
Barollo
S
, et al.
High-throughput mutation profiling improves diagnostic stratification of sporadic medullary thyroid carcinomas
.
Virchows Arch
.
2014
;
465
(
1
):
73
78
.

19

Boichard
A
,
Croux
L
,
Al Ghuzlan
A
, et al.
Somatic RAS mutations occur in a large proportion of sporadic RET-negative medullary thyroid carcinomas and extend to a previously unidentified exon
.
J Clin Endocrinol Metab
.
2012
;
97
(
10
):
E2031
E2035
.

20

Moura
MM
,
Cavaco
BM
,
Nio
A
, et al.
High prevalence of RAS mutations in RET-negative sporadic medullary thyroid carcinomas
.
J Clin Endocrinol Metab
.
2011
;
96
(
5
):
E863
E868
.

21

Ciampi
R
,
Mian
C
,
Fugazzola
L
, et al.
Evidence of a low prevalence of RAS mutations in a large medullary thyroid cancer series
.
Thyroid
.
2013
;
23
(
1
):
50
57
.

22

Ciampi
R
,
Ramone
T
,
Romei
C
, et al.
NF1 gene inactivation acts as a tumor driver in RET/RAS -negative medullary thyroid carcinomas
.
Eur J Endocrinol
.
2023
;
188
(
5
):
430
437
.

23

Shi
X
,
Sun
Y
,
Shen
C
, et al.
Integrated proteogenomic characterization of medullary thyroid carcinoma
.
Cell Discov
.
2022
;
8
(
1
):
120
.

24

Sondka
Z
,
Bamford
S
,
Cole
CG
,
Ward
SA
,
Dunham
I
,
Forbes
SA
.
The COSMIC cancer gene census: describing genetic dysfunction across all human cancers
.
Nat Rev Cancer
.
2018
;
18
(
11
):
696
705
.

25

Richards
S
,
Aziz
N
,
Bale
S
, et al.
Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology
.
Genet Med
.
2015
;
17
(
5
):
405
424
.

26

Lefter
M
,
Vis
JK
,
Vermaat
M
,
den Dunnen
JT
,
Taschner
PEM
,
Laros
JFJ
.
Mutalyzer 2: next generation HGVS nomenclature checker
.
Bioinformatics
.
2021
;
37
(
18
):
2811
2817
.

27

Pros
E
,
Gómez
C
,
Martín
T
,
Fábregas
P
,
Serra
E
,
Lázaro
C
.
Nature and mRNA effect of 282 different NF1 point mutations: focus on splicing alterations
.
Hum Mutat
.
2008
;
29
(
9
):
E173
E193
.

28

Corsello
G
,
Antona
V
,
Serra
G
, et al.
Clinical and molecular characterization of 112 single-center patients with neurofibromatosis type 1
.
Ital J Pediatr
.
2018
;
44
(
1
):
45
.

29

Castroneves
LA
,
Mangone
FR
,
Lerario
AM
, et al. Supplemental data from not only RET, but NF1 and chromosomal instability are seen in young patients with Sporadic medullary thyroid carcinoma.
Figshare
. doi:

30

Ramone
T
,
Romei
C
,
Ciampi
R
, et al.
Chromosomal alterations in sporadic medullary thyroid carcinoma and correlation with outcome
.
Endocr Relat Cancer
.
2023
;
30
(
9
):
e220251
.

31

Ciampi
R
,
Romei
C
,
Cosci
B
, et al.
Chromosome 10 and RET gene copy number alterations in hereditary and sporadic medullary thyroid carcinoma
.
Mol Cell Endocrinol
.
2012
;
348
(
1
):
176
182
.

32

Tamura
R
.
Current understanding of neurofibromatosis type 1, 2, and schwannomatosis
.
Int J Mol Sci
.
2021
;
22
(
11
):
5850
.

33

De Castroneves
LA
,
Negrão
MV
,
De Freitas
RMC
, et al.
Sorafenib for the treatment of progressive metastatic medullary thyroid cancer: efficacy and safety analysis
.
Thyroid
.
2016
;
26
(
3
):
414
419
.

34

Beert
E
,
Brems
H
,
Renard
M
, et al.
Biallelic inactivation of NF1 in a sporadic plexiform neurofibroma
.
Genes Chromosomes Cancer
.
2012
;
51
(
9
):
852
857
.

35

Steinmann
K
,
Kluwe
L
,
Friedrich
RE
,
Mautner
VF
,
Cooper
DN
,
Kehrer-Sawatzki
H
.
Mechanisms of loss of heterozygosity in neurofibromatosis type 1-associated plexiform neurofibromas
.
J Invest Dermatol
.
2009
;
129
(
3
):
615
621
.

36

Laycock-Van Spyk
S
,
Thomas
N
,
Cooper
DN
,
Upadhyaya
M
.
Neurofibromatosis type 1-associated tumours: their somatic mutational spectrum and pathogenesis
.
Hum Genomics
.
2011
;
5
(
6
):
623
690
.

37

Kang
E
,
Yoon
HM
,
Lee
BH
.
Neurofibromatosis type i: points to be considered by general pediatricians
.
Clin Exp Pediatr
.
2021
;
64
(
4
):
149
156
.

38

Gündoğan
BD
,
Sağcan
F
,
Bozdoğan
ST
,
Balcı
Y
,
Daloğlu
FT
,
Çıtak
.
Vandetanib in a child affected by neurofibromatosis type 1 and medullary thyroid carcinoma with both NF1 and homozygous RET proto-oncogen germ-line mutations
.
J Clin Res Pediatr Endocrinol
.
2021
;
13
(
3
):
342
346
.

39

Ercolino
T
,
Lai
R
,
Giachè
V
, et al.
Patient affected by neurofibromatosis type 1 and thyroid C-cell hyperplasia harboring pathogenic germ-line mutations in both NF1 and RET genes
.
Gene
.
2014
;
536
(
2
):
332
335
.

40

Segni
M
,
Massa
R
,
Bonifacio
V
, et al.
Case report thyroid C-cell hyperplasia in an adolescent with neurofibromatosis type 1
.
Horm Res
.
2001
;
56
(
1-2
):
63
66
.

41

Yoshida
A
,
Hatanaka
S
,
Ohi
Y
,
Umekita
Y
,
Yoshida
H
.
Von Recklinghausen's disease associated with somatostatin-rich duodenai carcinoid (somatostatinoma), medullary thyroid carcinoma and diffuse adrenal medullary hyperplasia
.
Acta Pathol Jpn
.
1991
;
41
(
11
):
847
856
.

Abbreviations

     
  • CEA

    carcinoembryonic antigen

  •  
  • LOH

    loss of heterozygosity

  •  
  • MEN

    multiple endocrine neoplasia

  •  
  • MTC

    medullary thyroid carcinoma

  •  
  • NF1

    neurofibromin 1 gene

  •  
  • NF1

    neurofibromatosis type 1

  •  
  • SNCA

    somatic copy number alteration

  •  
  • TKI

    tyrosine kinase inhibitor

  •  
  • VUS

    variants of unknown significance

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.