Literature DB >> 36051260

Pediatric chordoma associated with tuberous sclerosis complex: A rare case report with a thorough analysis of potential therapeutic molecular targets.

Kirill Anoshkin1, Denis Zosen2, Kristina Karandasheva1, Maxim Untesco3,4, Ilya Volodin1, Ekaterina Alekseeva1,5, Anna Parfenenkova6, Eugenia Snegova7, Aleksandr Kim8, Marina Dorofeeva9, Sergei Kutsev1, Vladimir Strelnikov1.   

Abstract

Chordoma associated with tuberous sclerosis complex (TSC) is an extremely rare tumor that was described only in 13 cases since 1975. Сhordoma itself is a malignant slow-growing bone tumor thought to arise from vestigial or ectopic notochordal tissue. Chordoma associated with TSC differs from chordoma in the general pediatric population in the median age, where the diagnosis of TSC-associated chordoma is 6.2 months, whereas for chordoma in the general pediatric population it is set to 12 years. The majority of TSC-associated chordomas are localized in skull-based and sacrum regions, and rare in the spine. Chordomas are genetically heterogeneous tumors characterized by chromosomal instability (CIN), and alterations involving PI3K-AKT signaling pathway genes and chromatin remodeling genes. Here we present the 14th case of chordoma associated with TSC in a 1-year-old pediatric patient. Alongside biallelic inactivation of the TSC1 gene, molecular genetic analysis revealed CIN and involvement of epigenetic regulation genes. In addition, we found the engagement of CBX7 and apolipoprotein B editing complex (APOBEC3) genes that were not yet seen in chordomas before. Amplification of CBX7 may epigenetically silence the CDKN2A gene, whereas amplification of APOBEC3 genes can explain the frequent occurrence of CIN in chordomas. We also found that KRAS gene is located in the region with gain status, which may suggest the ineffectiveness of potential EGFR monotherapy. Thus, molecular genetic analysis carried out in this study broadens the horizons of possible approaches for targeted therapies with potential applications for personalized medicine.
© 2022 The Author(s).

Entities:  

Keywords:  APOBEC3; CBX7; CMA; Chordoma; HTS; NGS; TSC

Year:  2022        PMID: 36051260      PMCID: PMC9424951          DOI: 10.1016/j.heliyon.2022.e10291

Source DB:  PubMed          Journal:  Heliyon        ISSN: 2405-8440


Introduction

Chordomas are malignant slow-growing bone tumors thought to arise from vestigial or ectopic notochordal tissue [1]. The incidence of sporadic chordomas is very rare and is currently estimated to be 0.8 cases per 1 million/year, which is lower than Ewing’s sarcoma (1.7–4.4 cases per 1 million/year) [1, 2]. In the majority of cases, chordomas occur in people 40–60 years of age and have a slight predominance in males [1]. Extremely rare chordomas are observed in such diseases as tuberous sclerosis complex (TSC). Since 1975, 13 cases have been described so far [3]. Recent studies show that chordomas associated with TSC have a silent tumor burden and eventually harbor mutations in TSC genes (in the latest article – biallelic inactivation of TSC1 gene) [3]. However, due to its rarity, the number of studies dedicated to molecular genetic analyses of these tumors associated with TSC is very limited. On the contrary, molecular genetic analysis of sporadic chordomas shows that these tumors mostly harbor chromosomal instability (CIN), alterations that involve PI3K-AKT signaling pathway genes and chromatin remodeling genes [4]. Also, a recent study shows that altered genes PBRM1, SETD2, CDKN2A/B, and LYST account for approximately 34% of the analyzed chordoma cohort [4]. Due to its genetic heterogeneity, numerous clinical trials of targeted therapies are currently underway and new approaches for treating chordomas are being suggested [5, 6, 7]. Nevertheless, the most effective treatment for chordomas is wide excision with adequate margins [8, 9]. Molecular genetic characterization by means of high-throughput sequencing (HTS) and chromosomal microarray analysis (CMA) will add to a better understanding of TSC-associated pediatric chordoma pathology, its molecular signatures and potential therapeutic targets. Here we present the 14th case of clivus chordoma in the pediatric patient with autosomal dominant disease TSC with a microscopic and immunohistochemical examination, new molecular genetic findings by profiling 409 tumor-related genes and CMA.

Case presentation

A 12-month-old Caucasian boy was admitted to the Consultative and Diagnostic Center for Children, Saint Petersburg, Russia in 2020, with complaints of convulsive seizures in the form of faltering, smirking with the withdrawal of the head and eyes, lasting 3–4 s. At 28 weeks' gestation, an ultrasound revealed cardiac rhabdomyoma and a fetal MRI scan suspected a possible TSC pathology (Figure 1A–F). The baby was born in time, 3250 g, 51 cm, and 7/9 Apgar score. No evidence or cases of TSC/chordoma were seen in the family history.
Figure 1

Patient’s preoperative (A–F) and postoperative (G–I) structural MRI examination. Clivus chordoma is marked with red asterisks, hyperintense signals are marked with yellow arrows. (A–C) T2-weighted MRI scan in the axial projections. (A) clivus chordoma. (B-С, I) MRI FLAIR sequence showing the focus of hyperintense signals in the white matter, features being consistent with the diagnosis of tuberous sclerosis. (D–F) T2-weighted MRI of a clivus chordoma. (D) sagittal plane with no contrast. (E) sagittal and (F) axial planes with contrast. (G, H) T1-weighted MRI scan in the axial projections. (I) MRI FLAIR sequence.

Patient’s preoperative (A–F) and postoperative (G–I) structural MRI examination. Clivus chordoma is marked with red asterisks, hyperintense signals are marked with yellow arrows. (A–C) T2-weighted MRI scan in the axial projections. (A) clivus chordoma. (B-С, I) MRI FLAIR sequence showing the focus of hyperintense signals in the white matter, features being consistent with the diagnosis of tuberous sclerosis. (D–F) T2-weighted MRI of a clivus chordoma. (D) sagittal plane with no contrast. (E) sagittal and (F) axial planes with contrast. (G, H) T1-weighted MRI scan in the axial projections. (I) MRI FLAIR sequence. At birth, the boy had a blond hair strand, polydactyly of the right hand, and rhabdomyoma of the heart. At four months of age, depigmented spots appeared on the torso and the diagnosis of TSC was clinically confirmed. The child’s psychomotor development was according to age, with no focal neurological symptoms on examinations. Convulsive seizures were first noted at the age of 8 months and then recurred two months later, antiepileptic therapy has been initiated. A brain CT scan showed a massive neoplasm formation in the posterior cranial fossa, tubers, triventricular hydrocephalus and arachnoid cyst of the left temporal region. A brain MRI with contrast (Figure 1E and F) confirmed an extracranial solid mass in the posterior fossa with brain stem compression; subcortically, in the white matter of the frontal lobes, and periventricularly – defined tubers (Figure 1B and C); triventricular hydrocephalus and arachnoid cyst of the left temporal region. Diagnosis by a neurologist: TSC with symptomatic epilepsy, - the child was referred to a neurosurgeon. The pathogenic mutation in the TSC1 gene 15 exon c.1690 G > T, p.E564∗ has been detected with molecular genetic analysis of the blood sample. At 13 months of age, microsurgical resection of an extracranial tumor and subsequent histological examination confirmed clivus chordoma at the Almazov National Medical Research Centre, St. Petersburg, Russia, no metastases were observed. A follow-up brain MRI scan at the age of 1.5 years revealed a continued growth of the tumor – increased thickness of an extracranial mass on the left side. Pathological tissue of heterogeneous structure, not accumulating contrast, 4.6 × 2.2 × 4.4 mm (previously: 4.6 × 1.8 × 4.4 mm) was visualized starting from the clivus of the sphenoid bone and extending to the apex of the odontoid process.

Treatment and follow-up

Symptomatic antiepileptic drug treatment and proton radiation therapy were performed and two months later, at 2 years of age, a postoperative brain MRI scan showed a reduction in the size of the tumor (Figure 1G and H), while tubers stayed present (Figure 1I). At this moment, the patient has no clinical manifestations of the disease. Based on the obtained diagnostic data, it’s planned to continue monitoring the patient, and adjust antiepileptic therapy if necessary.

Materials and methods

Ethical statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee at the Research Centre for Medical Genetics, Moscow, Russia. The patient’s guardian signed the informed consent to undergo diagnostic procedures and treatment, as well as to participate in the study, and presentation of clinical and molecular data in the scientific and medical literature.

Sample preparation and histopathology

Surgical specimen consisting of tumor fragments was entirely fixed in 10% buffered formalin. Formalin-fixed paraffin-embedded (FFPE) tissue blocks were prepared after a standard processing procedure. Hematoxylin and Eosin (H&E) slides were prepared for diagnostic purposes. Additional tissue sections were made for immunohistochemistry and molecular genetic studies. Immunohistochemical stains were performed on BOND-MAX automated staining system, using standardized protocols with BOND Epitope Retrieval solutions 1/2 and BOND Polymer Refine Detection Kit, all from Leica Biosystems, Germany. Antibodies used, are as follows: Pan-Cytokeratin (Leica Biosystems, cat.№ PA0094), CD68 (Leica Biosystems, cat.№ NCL-L-CD68), Brachyury (Abcam, cat.№ ab209665), EMA (Biogenex, cat.№ AMB78-5M), S100 (CellMarque, cat.№ 330M-16), GFAP (Leica Biosystems, cat.№ NCL-L-GFAP-GA5), Ki67 (Leica Biosystems, cat.№ PA0118). Immunohistochemical stains were performed using standard staining protocols and according to antibody vendor recommendations. All histological slides were scanned at 200× absolute magnification using the Aperio AT2 scanning system (Aperio Technologies, Vista, CA). Acquired digital pathology slides images were uploaded and analyzed on the Digital Pathology viewing platform by two specialists. Morphology was assessed directly on the screen. Mitotic count was performed on a virtual circular area with a diameter of 500 μm (average diameter of a microscopic field at ×400 magnification). Proliferation index Ki67 immunostaining morphometric analysis was performed using an integrated proprietary Ki67 assessment algorithm (UNIM LTD, Moscow, Russia): an area was considered acceptable for analysis if it contained 500–1000 tumor cells. The Ki67 index is the ratio of the number of tumor cells with positive nuclear Ki67 staining to the total number of tumor cells in a designated area. Three areas with the highest positive nuclear staining cell ratio were designated as hotspot areas. These areas were then analyzed, and a mean value of measurements was calculated.

High-throughput sequencing (HTS) and therapeutic biomarkers assessment

DNA was extracted from FFPE tumor tissue using GeneRead DNA FFPE kit (Qiagen, cat.№ 180134). DNA sequencing (HTS) was performed by using Ion AmpliSeq targeted amplification technology with Ion AmpliSeq Comprehensive Cancer Panel (Thermo Fisher Scientific, cat.№ 4477685), Oncomine Tumor Mutation Load Assay (Thermo Fisher Scientific, cat.№ A37909) and a custom panel including 25 genes involved in epigenetic regulation (Supplementary Material) on Ion S5™ System (Thermo Fisher Scientific, USA). All found point mutations were verified by Sanger sequencing (Supplementary Material). PCR parameters for TERT promoter mutations C250T and C228T and MGMT methylation status are described in Supplementary Material.

Chromosomal microarray analysis (CMA)

For the detection of chromosomal aberrations, we used SNP-array OncoScan (Thermo Fisher Scientific, cat. № 902695) on GeneChip Scanner 3000 7G System (Applied Biosystems, cat.№ 00–0213), following the manufacturer’s recommendations. The data were analyzed with Chromosome Analysis Suite (ChAS) 4.2 software (Affymetrix) and OncoScan default settings. All copy number alterations were manually reviewed.

Bioinformatic analysis

The bioinformatics workflow for sequencing data analysis was based on Torrent Suite software (version 5.10.1). Annotation was performed by ANNOVAR [10]. Filtration of pathogenic mutations was made with the following parameters: read depth ≥250×, variant allele fraction (VAF) > 5%, strand bias is excluded, occurrence in the population <1% (gnomAD). All filtered point mutations were manually reviewed using Integrative Genomics Viewer (IGV) [11]. Tumor mutation burden (TMB) was determined using the Oncomine Tumor Mutation Load Assay panel (Thermo Fisher Scientific, cat.№ A37909) in Ion Reporter software. For pathway enrichment analysis, we used data from CMA, excluded oncogenes that were in loss regions and tumor suppressor genes that were in gains regions, and performed analysis using the ClusterProfiler R package version 3.18.1 [12].

Results

Histology and immunohistochemistry

Histologically, conventional chordoma morphology was observed: tumor presented a solid lobulated growth pattern, with cords and nests of large epithelioid cells with clear or slightly eosinophilic, bubbly cytoplasm (“physaliphorous” cells). Cells were focally embedded in a moderate amount of chondromyxoid stroma (Figure 2A and B). Tumor lobules were divided by fibrous septa rich in prominent blood vessels and dense lymphoplasmacytic inflammatory infiltrate. Cytologic atypia varied from moderate to severe, with highly pleomorphic or bizarre nuclei, and apoptotic bodies. About 35 mitotic events per one high-power field were counted. Necrotic areas represented 3–5% of the whole tumor volume. However, no sarcomatoid differentiation areas (characteristic of dedifferentiated chordoma) were observed.
Figure 2

Clivus chordoma histopathology: H&E stain (A–B), tumor with characteristic physaliphorous cells, lobular architecture and abundant grayish-blue chondroid extracellular matrix; strong diffuse nuclear immunoreactivity for Brachyury (C); strong diffuse nuclear immunoreactivity for Pan-Cytokeratin (D), S100 (E), EMA (F). The scale bar is set to 200 μm.

Clivus chordoma histopathology: H&E stain (A–B), tumor with characteristic physaliphorous cells, lobular architecture and abundant grayish-blue chondroid extracellular matrix; strong diffuse nuclear immunoreactivity for Brachyury (C); strong diffuse nuclear immunoreactivity for Pan-Cytokeratin (D), S100 (E), EMA (F). The scale bar is set to 200 μm. Immunohistochemical stains (Figure2 C–F) showed a classic chordoma profile with cytoplasmic positivity for epithelial membrane antigen (EMA), S100 protein, Pan-Cytokeratin and strong nuclear Brachyury positivity. No GFAP or CD68 expression was observed. Ki67 proliferation index assessed manually and with the aid of AI algorithm resulted in around 15%.

HTS and therapeutic biomarkers assessment

The median read coverage was 870×, 619× and 2081× for the CCP, Oncomine TML and custom panel respectively. TMB was quiet, with 0.85 mutations/Mb. The CCP and Oncomine TML panels revealed only one pathogenic point mutation, stop-gain p.E564∗ in the TSC1 gene. No pathogenic mutations were found in the custom panel with 25 epigenetic regulation genes. Regarding promoter mutations in the TERT gene and MGMT methylation status, no alterations were found. In total, we discovered 180 regions with copy number variations (CNVs) in the chordoma tumor sample. The longest section was 58,014 kb long (arr[GRCh38] 9q21.31q34.3(79267492_137281464) × 1−2), harboring region 9q34 that includes TSC1 gene, which, in combination with a point mutation p.E564∗ in TSC1, corresponds to a two-hit hypothesis of carcinogenesis in tuberous sclerosis. Further, 12 oncogenes [13] (Table 1) were located in amplified regions; 92 tumor suppressor genes [14] (Supplementary Material) were found in regions with loss status. According to dbEM database [15], we have registered copy number gains of four genes involved in epigenetic regulation – ELP3, GTF3C4, MBD2 and PHF2 (Table 1).
Table 1

Amplified oncogenes and genes that participate in epigenetic regulation found by CMA.

Amplified oncogenes found by CMA
GenesMicroarray nomenclature of region
CBX7arr[GRCh38] 22q13.1(38481456_39596655) × 2 − 3
DSG3arr[GRCh38] 18q12.1(31429712_32174786) × 2 − 3
EMSYarr[GRCh38] 11q13.4q13.5(75413088_76613978) × 2 − 3
FOXA1arr[GRCh38] 14q13.3q21.1(36322204_38121000) × 2 − 3
KRASarr[GRCh38] 12p12.1(24902578_25984703) × 2 − 3
MIR633arr[GRCh38] 17q23.2q23.3(62801615_63148876) × 2 − 3
NKX2-1arr[GRCh38] 14q13.3q21.1(36322204_38121000) × 2 − 3
PDGFBarr[GRCh38] 22q13.1(38481456_39596655) × 2 − 3
PRAMEarr[GRCh38] 22q11.21q11.22(21674445_23078872) × 2 − 3
ROCK1arr[GRCh38] 18p11.21q11.1(14940734_21155391) × 2 − 3
SNAI1arr[GRCh38] 20q13.13(49011068_50479891) × 2 − 3
ZFAS1arr[GRCh38] 20q13.13(49011068_50479891) × 2 − 3

Altered genes that are involved in epigenetic regulation

Genes
Microarray nomenclature
Description
ELP3arr[GRCh38] 8p21.1p12(28068600_30351452) × 2 − 3Histone Acetyl Transferases
GTF3C4arr[GRCh38] 9q21.31q34.3(79267492_137281464) × 1 − 2Histone Acetyl Transferases
MBD2arr[GRCh38] 18q21.2(53697547_54220886) × 1 − 2Chromatin Remodelers
PHF2arr[GRCh38] 9q21.31q34.3(79267492_137281464) × 1 − 2Histone Demethylases
Amplified oncogenes and genes that participate in epigenetic regulation found by CMA.

Pathway enrichment analysis

Gene set enrichment analysis revealed that the best enrichment score was obtained for the following biological processes: transposition regulation, deamination and nucleoside metabolism. The set of genes that causes these processes almost exclusively consists of the members of the APOBEC3 family (APOBEC3A, APOBEC3B, APOBEC3C, APOBEC3D, APOBEC3F, APOBEC3G, APOBEC3H). These genes are located closely within the chromosomal region 22q13.1, which is amplified in the studied sample in accordance with the CMA analysis (Figure 3).
Figure 3

GO biological process gene set enrichment analysis by using clusterProfiler R package [12].

GO biological process gene set enrichment analysis by using clusterProfiler R package [12].

Discussion

Herein we present uncommonly rare chordoma in the pediatric patient with TSC, an autosomal dominant disease characterized by multiple lesions and involvement of multiple organs of the body with birth prevalence between 1/6000 and 1/10,000 live births [16]. Since 1975, only 13 TSC-associated chordoma cases were described [3]. Chordomas are malignant slow-growing bone tumors thought to arise from vestigial or ectopic notochordal tissue [1]. The incidence of chordomas is currently estimated to be 0.8 cases per 1 million/year, which is lower than Ewing’s sarcoma (1.7–4.4 cases per 1 million/year) [1, 2]. Most chordomas occur in people 40–60 years of age and have a slight predominance in men [1]. The majority of chordomas are intraosseous tumors involving the axial skeleton, affecting the base of skull/clivus, vertebral bodies, and sacrococcygeal bones in about equal proportions. On the other hand, pediatric chordomas, which occur before the age of 20 and take place in 5% of all cases, are usually developed within skull-based localization [2]. Chordoma associated with TSC differs from chordoma in the general pediatric population in the median age, where the diagnosis of TSC-associated chordomas is 6.2 months, whereas for chordoma in the general pediatric population it is set to 12 years [17]. The majority of TSC-associated chordomas are localized in the skull- and sacrum-based regions, and are uncommon in the spine, although this difference is most likely due to the small studied sample size [3, 17].

Histopathology

The current World Health Organization (WHO) “Classification of Soft Tissues and Bone” continues to classify chordoma into three types: conventional chordoma that includes a chondroid subtype, dedifferentiated chordoma, and a poorly differentiated chordoma [18]. The morphology varies between these subtypes, from the “physaliphorous cells” and myxoid matrix of the conventional type to the matrix that mimics hyaline cartilage in the chondroid subtype, to biphasic tumors with juxtaposed high-grade undifferentiated sarcomas in the dedifferentiated type [19, 20]. The poorly chordoma is characterized by highly undifferentiated morphology, prominent necrosis and the frequent absence of SMARCB1 (SNF5-homolog/SMARCB1, also known as INI1) expression [21, 22]. This type of tumor has been described in the pediatric population and is characterized by an aggressive clinical course [23, 24, 25]. All chordomas (except the dedifferentiated component in dedifferentiated and poorly differentiated chordoma) typically show positive immunohistochemical staining for keratins, Brachyury, S100, and EMA, whereas poorly differentiated chordoma is characterized by the absence of SMARCB1 expression [21, 22].

Recurrent alterations and involved pathways

Molecular genetics studies on chordomas have increased in recent years, but molecular genetic profiling using HTS and CMA of chordomas in patients with TSC has not yet been published. In contrast, much more data are available on sporadic chordomas, allowing for a more detailed analysis. It seems that point mutations are not frequent phenomena in chordomas. Studies show that chordoma tumor mutation burden (TMB) is mostly low, with a median of 0.53 mut/Mb and a range of 0.05–7.68 per tumor, however, tumors that harbor mutations in PBRM1 have a higher overall burden of mutations and non-synonymous mutations [4]. On the other hand, chromosomal instability (CIN) is much more common, and recurrent CNVs are seen in chordomas [4, 26]. Recurrent losses are seen in 1p36 (RUNX3), 3p21 (PBRM1, SETD2, BAP1), 3q26 (PIK3CA), 6q25 (ARID1B), 9p21 (CDKN2A, CDKN2B, MTAP), 10q23 (PTEN), 11q22 (ATM), 22q12 (CHEK2), 22q11 (SMARCB1), but also gains in 6q27 (Brachyury), 7q31 (MET), chromosomes 7 and 19 [27,28]. CNVs can also be clustered by different profiles of CNVs, from a group with an almost completely altered genome, to a group where there are almost no alterations [4]. Currently, studies show that altered PBRM1, SETD2, CDKN2A/B, and LYST genes account for about 34% of the analyzed cohort of chordomas [4, 26, 29]. These findings suggest that epigenetic dysregulation, via chromatin remodeling (PBRM1, SETD2), may play an important role in chordoma pathogenesis [4]. Overall, studies show that chordomas are characterized by CIN and/or alterations involving genes of the PI3K-AKT signaling pathway and chromatin remodeling genes [4, 26, 29]. Our sample, apart from a small number of point mutations, has chromosomal instability, in which we found one recurrent CNV carrying the ATM gene (Supplementary Material). We found that 9q region, where TSC1 gene is located (9q34), has loss status, leading to biallelic inactivation of TSC1 (due to the p.E564∗point mutation), which in turn involves the mTOR signaling pathway; all of which makes sense for patients with TSC. Involvement of PBRM1, SETD2, CDKN2A/B, LYST or TBXT has not been found, however, we detected a loss in 18q21.2 region, where the MBD2 gene involved in chromatin remodeling is located [30] and gains that involve several oncogenes – CBX7, FOXA1, EMSY - that also indirectly affect chromatin (Table 1). Notably, CBX7, one component of the Polycomb group (PcG) multiprotein PRC1-like complex, through recruitment and/or activation of the HMTase SUV39H2, initiates trimethylation of H3K9 (H3K9me3) at the p16-Arf locus leading to epigenetic inactivation of p16 (CDKN2A) [31], which might lead to inactivation of CDKN2A in our case. In addition, PcGs proteins are epigenetic modifiers and are essential for the correct development and differentiation of the nervous system [32]. APOBEC signatures have been shown to be detected in distant metastatic chordoma specimens and absent in recurrent tumors [4]. Higher fractions of APOBEC mutational signatures were observed in tumors with PBRM1+ in comparison with PBRM1-tumors [4]. APOBEC3 proteins are cytidine deaminases that govern a wide spectrum of genomic and epigenomic modifications [33]. APOBEC3 enzymes are well-known players in the innate immune response to viral infections and are acting as restriction factors for diverse viruses, including hepatitis B virus, human T-cell leukemia virus, parvoviruses and human papillomavirus [33]. It is also known that APOBEC family proteins are able to restrict exogenous retroviruses as well [34]. Along with ADAR enzymes, members of the AID/APOBEC protein family play a crucial role in cell defense against L1 retrotransposons activity [35]. However, APOBEC3 proteins contribute to human cancer by eliciting cellular DNA damage responses. Evidence of APOBEC3-mediated mutagenesis and its contribution to DNA replication stress and chromosomal instability has been demonstrated in recent studies [36, 37]. The C→T transitions in the TC context are thought to be a mutational signature of APOBEC3 in cancer genomes caused by endogenous APOBEC3A and APOBEC3B activity [38]. The results of the gene set enrichment analysis showed that the highest enrichment score in the case described here was for biological processes involving APOBEC3. Amplification of the 22q13.1 region (arr[GRCh38] 22q13.1(38481456_39596655) × 2 − 3) with APOBEC3 could explain CIN in our case, but we could not detect the APOBEC mutational signature due to the low number of point mutations, which is also reflected in the TMB, set at 0.85 mut/Mb.

Survival and therapy

Survival

According to the Surveillance, Epidemiology, and End Results (SEER) program, the median survival time of chordomas is 6.3 years. Survival at 5, 10 and 20 years was 98%, 40% and 13% respectively. For pediatric chordomas, overall 5-year and 10-year survival rates were 66.6% and 58.6%, and progression-free survival rates were 55.7% and 52 %, respectively [1]. Survival curve analysis (chordoma-specific survival) in relation to some regions with alterations (CNVs that affect SWI/SNF genes and deletion in 22q) were associated with positive outcomes [4]. With regard to recurrence-free survival, positive outcomes were observed in the absence of such alterations affecting the SWI/SNF genes, p21.3 deletion, 9q21.11 deletion, and 22q deletion [4]. It has also been shown that mutations in the TERT promoter region are present in 8.7 % of chordomas and correlate with better survival [39]. We analyzed the TERT promoter region in our sample and found no mutations that are associated with better survival (Supplementary Material). To date, 14 cases of chordomas have been described, including this case, of which only one patient died at the age of 6 years, and no correlation with mutations has been reported [17, 40].

Therapy

Chordomas are now known to be genetically heterogeneous tumors. According to the National Comprehensive Cancer Network (NCCN) guidelines, the primary treatment of chordomas is wide excision with adequate margins. If chordoma is unresectable, radiotherapy is considered. Chordomas are not amenable to chemotherapy, but the involvement of PDGFR, EGFR and mTOR in the pathological processes has led to the development of targeted treatments for chordomas. Monotherapy with tyrosine kinase inhibitors (TKIs), such as imatinib, erlotinib or sorafenib, is recommended as the first-line treatment [5]. Combination therapy (two TKIs or TKIs plus an mTOR inhibitor) has proven effective in patients with advanced chordoma resistant to monotherapy [5]. Current preclinical results of a recombinant Saccharomyces cerevisiae (yeast) vaccine encoding brachyury (GI-6301) demonstrated that 7/11 patients showed no evidence of disease progression at five months [5]. Yang et al. also showed that vismodegib, an antagonist of the Shh-Gli1 signaling pathway, induces apoptosis and G1/S cell cycle arrest in chordoma cells and effectively suppresses chordoma xenograft growth [41]. In our sample, EGFR-activating mutations were not detected by HTS or RT-PCR. However, we found an amplified KRAS gene that may confer resistance to anti-EGFR therapy [42] in relation to the efficacy of TKI monotherapy in chordomas. Methylation of the MGMT promoter, which is known to be a prognostic and predictive marker for patients with glioblastoma and tumor response to temozolomide (TMZ) chemotherapy [43], has been observed in 26.6% of recurrent clival chordomas, suggesting the potential use of TMZ chemotherapy [44, 45]. No methylation of MGMT promoter region was identified in our sample. Regarding immunotherapy, most chordomas have a low TMB (∼0.53 mut/Mb), corresponding to “cold tumors” and suggesting the ineffectiveness of immunotherapy [4, 46]. However, in another case report study of spinal chordoma with low TMB (6.9 mut/Mb), negative for PD-L1 expression and with a frameshift mutation in PBRM1, the use of pembrolizumab, an immune checkpoint inhibitor targeting the PD-1 receptor on lymphocytes, showed a 9.3-month increase in progression-free survival compared to imatinib (9 months) and nitro-camptothecin (3 months) [47]. In our clivus chordoma sample, TMB was also low, with 0.85 mut/Mb, and there were no point mutations or indels in the PBRM1 gene. To our knowledge, possible epigenetic inactivation of CDKN2A due to amplification of CBX7 has not previously been observed in chordomas. CDKN2A activates the Rb and CDK4/6 pathways, which in turn are highly expressed in the chordoma tissue cell line [5, 48]. Palbociclib, which is a CDK4/6 inhibitor, is currently in phase II clinical trial for patients with chordoma (NCT03110744). In relation to APOBEC, as for tumor therapy, attempts have been made regarding A3B inhibition as therapy by hypomutation, or therapy by hypermutation where in the latter case, boosting mutational burden in the cells to toxic levels, through small molecule agonism of A3-catalyzed mutation, might accelerate cancer cell death [6]. These and other molecular genetic clues may shed light on the shortcomings of current clinical approaches to the treatment of chordomas and potentially improve therapy on a case-by-case basis, i.e. precision medicine.

Conclusion

Here we described the 14th case of a patient with tuberous sclerosis complex who has a clivus chordoma. In this tumor, in addition to biallelic inactivation of the TSC1 gene, we found chromosomal instability, amplification of several oncogenes, including KRAS and CBX7 genes, and alterations of epigenetic regulation genes. Chromosomal instability and involvement of epigenetic regulation genes are common in chordomas. Inactivation of CDKN2A is also common, however, its epigenetic inactivation due to amplification of CBX7 has not yet been described in chordomas. Through enrichment analysis, we showed the involvement of APOBEC3, which has also not been previously described in chordomas. APOBEC3s are involved in chromosomal instability, which may explain its frequent occurrence among chordomas and can be considered as a target in hypo- or hypermutation for cancer therapies in the future. Regarding targeted therapy, we did not identify mutations in EGFR, however, the gain status of KRAS may indicate the ineffectiveness of EGFR monotherapy, which has been shown to be effective in the treatment of chordomas. We believe that a detailed molecular genetic analysis, even in a single case, may help to understand the genetic and molecular features of childhood chordomas associated with TSC and assist in the search for targeted treatment options.

Declarations

Author contribution statement

All authors listed have significantly contributed to the investigation, development and writing of this article.

Funding statement

This work was supported by (the Federal Scientific-technical program for genetic technologies development for 2019-2027, agreement № 075-15-2021-1061, RF 193021X0029).

Data availability statement

Data associated with this study has been deposited at https://www.ncbi.nlm.nih.gov/geo/, GSE196823; https://www.ncbi.nlm.nih.gov/, PRJNA799928.

Declaration of interest’s statement

The authors declare the following conflict of interests: Maxim Untesco was employed by the company UNIM Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Additional information

No additional information is available for this paper.
  47 in total

1.  clusterProfiler: an R package for comparing biological themes among gene clusters.

Authors:  Guangchuang Yu; Li-Gen Wang; Yanyan Han; Qing-Yu He
Journal:  OMICS       Date:  2012-03-28

2.  Dedifferentiated Chordoma: Clinicopathologic and Molecular Characteristics With Integrative Analysis.

Authors:  Yin P Hung; Julio A Diaz-Perez; Gregory M Cote; Johan Wejde; Joseph H Schwab; Valentina Nardi; Ivan A Chebib; Vikram Deshpande; Martin K Selig; Miriam A Bredella; Andrew E Rosenberg; G Petur Nielsen
Journal:  Am J Surg Pathol       Date:  2020-09       Impact factor: 6.394

3.  MGMT-Positive vs MGMT-Negative Patients With Glioblastoma: Identification of Prognostic Factors and Resection Threshold.

Authors:  Sotirios Katsigiannis; Stefan Grau; Boris Krischek; Kadir Er; Bogdan Pintea; Roland Goldbrunner; Pantelis Stavrinou
Journal:  Neurosurgery       Date:  2021-03-15       Impact factor: 4.654

4.  Variant Review with the Integrative Genomics Viewer.

Authors:  James T Robinson; Helga Thorvaldsdóttir; Aaron M Wenger; Ahmet Zehir; Jill P Mesirov
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

5.  Poorly differentiated chordoma with SMARCB1/INI1 loss: a distinct molecular entity with dismal prognosis.

Authors:  Martin Hasselblatt; Christian Thomas; Volker Hovestadt; Daniel Schrimpf; Pascal Johann; Susanne Bens; Florian Oyen; Susanne Peetz-Dienhart; Yvonne Crede; Annika Wefers; Hannes Vogel; Markus J Riemenschneider; Manila Antonelli; Felice Giangaspero; Marie Christine Bernardo; Caterina Giannini; Nasir Ud Din; Arie Perry; Kathy Keyvani; Frank van Landeghem; David Sumerauer; Peter Hauser; David Capper; Andrey Korshunov; David T W Jones; Stefan M Pfister; Reinhard Schneppenheim; Reiner Siebert; Michael C Frühwald; Marcel Kool
Journal:  Acta Neuropathol       Date:  2016-04-11       Impact factor: 17.088

6.  Polycomb CBX7 directly controls trimethylation of histone H3 at lysine 9 at the p16 locus.

Authors:  Qiang Li; Xiuhong Wang; Zheming Lu; Baozhen Zhang; Zhenpo Guan; Zhaojun Liu; Qiming Zhong; Liankun Gu; Jing Zhou; Budong Zhu; Jiafu Ji; Dajun Deng
Journal:  PLoS One       Date:  2010-10-29       Impact factor: 3.240

7.  Induction of APOBEC3 Exacerbates DNA Replication Stress and Chromosomal Instability in Early Breast and Lung Cancer Evolution.

Authors:  Subramanian Venkatesan; Mihaela Angelova; Clare Puttick; Haoran Zhai; Deborah R Caswell; Wei-Ting Lu; Michelle Dietzen; Panagiotis Galanos; Konstantinos Evangelou; Roberto Bellelli; Emilia L Lim; Thomas B K Watkins; Andrew Rowan; Vitor H Teixeira; Yue Zhao; Haiquan Chen; Bryan Ngo; Lykourgos-Panagiotis Zalmas; Maise Al Bakir; Sebastijan Hobor; Eva Grönroos; Adam Pennycuick; Ersilia Nigro; Brittany B Campbell; William L Brown; Ayse U Akarca; Teresa Marafioti; Mary Y Wu; Michael Howell; Simon J Boulton; Cosetta Bertoli; Tim R Fenton; Robertus A M de Bruin; Apolinar Maya-Mendoza; Eric Santoni-Rugiu; Robert E Hynds; Vassilis G Gorgoulis; Mariam Jamal-Hanjani; Nicholas McGranahan; Reuben S Harris; Sam M Janes; Jirina Bartkova; Samuel F Bakhoum; Jiri Bartek; Nnennaya Kanu; Charles Swanton
Journal:  Cancer Discov       Date:  2021-05-04       Impact factor: 38.272

8.  Establishment of a Regional Interdisciplinary Medical System for Managing Patients with Tuberous Sclerosis Complex (TSC).

Authors:  Ayataka Fujimoto; Tohru Okanishi; Shin Imai; Masaaki Ogai; Akiko Fukunaga; Hidenori Nakamura; Keishiro Sato; Akira Obana; Takayuki Masui; Yoshifumi Arai; Hideo Enoki
Journal:  Sci Rep       Date:  2018-11-13       Impact factor: 4.379

9.  Response of Metastatic Chordoma to the Immune Checkpoint Inhibitor Pembrolizumab: A Case Report.

Authors:  Xiaoli Wu; Xiangwu Lin; Ying Chen; Wencui Kong; Jinhe Xu; Zongyang Yu
Journal:  Front Oncol       Date:  2020-12-17       Impact factor: 6.244

10.  TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes.

Authors:  Min Zhao; Pora Kim; Ramkrishna Mitra; Junfei Zhao; Zhongming Zhao
Journal:  Nucleic Acids Res       Date:  2015-11-20       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.