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Genomic analyses of gynaecologic carcinosarcomas reveal frequent mutations in chromatin remodelling genes

Nature Communications volume 5, Article number: 5006 (2014) | Download Citation


Malignant mixed Müllerian tumours, also known as carcinosarcomas, are rare tumours of gynaecological origin. Here we perform whole-exome analyses of 22 tumours using massively parallel sequencing to determine the mutational landscape of this tumour type. On average, we identify 43 mutations per tumour, excluding four cases with a mutator phenotype that harboured inactivating mutations in mismatch repair genes. In addition to mutations in TP53 and KRAS, we identify genetic alterations in chromatin remodelling genes, ARID1A and ARID1B, in histone methyltransferase MLL3, in histone deacetylase modifier SPOP and in chromatin assembly factor BAZ1A, in nearly two thirds of cases. Alterations in genes with potential clinical utility are observed in more than three quarters of the cases and included members of the PI3-kinase and homologous DNA repair pathways. These findings highlight the importance of the dysregulation of chromatin remodelling in carcinosarcoma tumorigenesis and suggest new avenues for personalized therapy.


Malignant mixed Müllerian tumours (MMMT) are infrequent gynaecological cancers with histological features of both carcinoma and sarcoma1. These tumours arise most commonly in the uterus2, but have also been identified in the vagina3, cervix4, ovary5, fallopian tube6 and peritoneum7. Despite affecting only two per 100,000 US women per year, these tumours are highly aggressive and 5-year survival rates have been reported between 35% and 65% in early-stage carcinosarcoma and only around 10% for stage IV neoplasms8.

MMMT typically affect women over the age of 50 years, with a median age of onset of 62 years9. Patients may present with vaginal bleeding, abdominal pain and/or mass, but are generally not diagnosed until the disease is in late stage10. In addition to advanced age, risk factors include nulliparity, obesity, exogenous oestrogen exposure, pelvic irradiation and treatment with Tamoxifen9,11,12. The primary treatment for MMMT is total abdominal hysterectomy with bilateral salpingo-oophorectomy13. In addition to surgery, high rates of recurrence and metastasis necessitate the use of adjuvant chemotherapy and radiation13. Despite these interventions, the prognosis is poor and more effective therapeutic options are needed to aid the clinical management of affected patients.

There are three theories for the origin of carcinosarcomas. The collision theory suggests that the tumours are biclonal arising from separate cells that later merge. The combination theory assumes that a common precursor differentiates bidirectionally and the conversion theory posits that a single cell undergoes metaplasmic differentiation9,10. Molecular and histological evidence supports the conversion hypothesis14 and these tumours are now thought to derive from sarcomatous differentiation in a high-grade carcinoma10.

Alterations in TP53, KRAS and the PIK3CA pathway have previously been observed in 25%, 15% and 19% of carcinosarcomas, respectively15,16. Mutations of CTNNB1 and NRAS, as well as mismatch repair deficiency, are known to occur at a lower frequency15,16,17. However, the genetic basis of this tumour type remains largely unexplored. We report here the results of the first unbiased systematic genetic analysis of carcinosarcomas using whole-exome sequencing. These analyses define the mutational landscape of carcinosarcoma and reveal the importance of chromatin remodelling in this tumour type.


Overall approach and spectrum of somatic mutations

We used a next-generation sequencing approach to analyse the entire exomes (>20,000 genes) of matched tumour and normal specimens from 22 carcinosarcoma patients for tumour-specific (somatic) mutations. All samples were primary tumours, with the exception of MM02, which was a recurrence at the primary site, and included 17 tumours originating in the uterus and 5 tumours arising in the ovaries (Supplementary Table 1). On average, the sequencing coverage was 191-fold and >90% of bases were covered by at least 10 high-quality reads (Supplementary Table 2). The number of somatic non-synonymous mutations in 18 of these tumours ranged from 4 to 88, with an average of 43 mutations per tumour. The number of somatic mutations per tumour was similar to that of other gynaecological cancers, including ovarian clear cell18, high-grade ovarian serous19 and uterine serous20 carcinomas, but significantly higher than previously observed in low-grade ovarian cancers and pediatric tumours21,22,23. Four tumours harboured a significantly higher number of somatic alterations, ranging from 904 to 5,913. Further analyses revealed somatic mutations in the mismatch repair genes, MLH1 (MM20T) and MSH6 (MM04T, MM12T and MM18T) in all cases, suggesting that these defects were responsible for the observed mutator phenotype (Supplementary Table 3). MM12T harboured truncating mutations in MSH6 in both alleles, whereas single nonsense or frameshift mutations were observed in the other three cases. Microsatellite instability has been previously reported in type I endometrial cancers and low-grade ovarian tumours, as well as in carcinosarcomas16,17,21,24.

The vast majority of somatic alterations observed were single base substitutions, including non-synonymous coding changes, nonsense mutations and splice site alterations, with the remaining mutations as small insertions and deletions (Supplementary Table 3). The non-silent substitutions in the microsatellite stable cases were predominantly C:G to T:A transitions (Fig. 1). These mutations are thought to arise as a result of deamination of 5-methyl cytosine at CpG sites25 and are a common feature across cancer types, including other gynaecological tumours18,26. Mismatch repair-defective cases displayed an atypical mutational signature consistent with previous reports26,27,28. Almost half of the somatic mutations in the tumour harbouring an MLH1 alteration were small insertions and deletions, compared with only 10% in the microsatellite stable cases. In the MSH6-mutated cases, C:G to T:A transitions were the most common, accounting for 53% of somatic mutations, but there was also an overrepresentation of C:G to A:T transversions (30%), probably as a consequence of the inability to repair mismatches arising as a result of oxidative damage28 (Fig. 1).

Figure 1: Recurrently mutated genes in gynecological carcinosarcomas.
Figure 1

(a) The frequency of non-synonymous mutations in each sample of the study is displayed as mutations per megabase. (b) The matrix represents individual mutations in 22 patient samples, colour coded by type of mutation. Only the most damaging mutation per gene is shown if multiple mutations were found in a sample. Genes are classified into four functional categories displayed on the right. Mutations occurring at known hotspots are circled in green. Left: bar plot shows the number of mutations in each gene across 22 samples. Percentages represent the fraction of tumours with at least one mutation in the specified gene. (c) Base substitution spectrum of individual samples: transitions (ts) and transversions (tv) at CpG and non-CpG sites, indels and dinucleotide substitutions. (d) Site of the primary tumour.

Recurrently mutated genes

Overall, we identified 777 somatic mutations in 702 genes in the 18 microsatellite stable cancers, as well as 18,371 alterations in 4 mismatch repair-deficient tumours. The analyses of tumour-specific mutations revealed a number of known genes with recurrent alterations. Mutations in TP53 were observed in 67% (16/22) of cases, a significantly higher fraction than previously appreciated15. The phosphoinositide 3-kinase (PI3-kinase) pathway was affected by activating mutations in PIK3CA (9/22 cases) and PTEN (9/22 cases). We identified mutations in PIK3R1, a member of the PI3-kinase pathway that had not been previously implicated in carcinosarcomas, in 3 of 22 cases. As in endometrial tumours24, mutations in PIK3CA and PIK3R1 were mutually exclusive, but loss of PTEN function co-occurred with other genes in this pathway. Unlike in previous studies of carcinosarcomas, PI3-kinase pathway mutations were not confined to tumours located in the uterus, but also occurred in ovarian cases15. Hotspot mutations in CTNNB1 were observed in two microsatellite stable cases (Fig. 1).

In addition to genes already associated with carcinosarcomas, we identified mutations in genes not previously implicated in this tumour type (Fig. 1). Truncating mutations in ARID1A were detected in 32% (7/22) of tumours (Figs 1 and 2). Four of the five ovarian tumours had ARID1A mutations and these were not observed in the microsatellite-stable tumours of the uterus. Three of the ARID1A-mutated tumours also harboured frameshift and nonsense alterations in ARID1B. Alterations in ARID1A have been reported in other gynaecological cancers, including a high proportion of ovarian clear cell carcinoma (57%)18, endometrioid carcinoma of the ovary29 and endometrial tumours24, as well as a range of other tumour types such as neuroblastoma, colorectal, gastric, prostate and breast cancers23,30. Intragenic deletions and point mutations in ARID1B were recently discovered in around 10% of neuroblastomas23 and have been seen in a small fraction of hepatocellular31, breast32 and medulloblastoma tumours33,34.

Figure 2: Mutations in chromatin remodelling genes.
Figure 2

Locations of mutations in the ARID1A, ARID1B, SPOP, BAZ1A and MLL3 proteins are indicated with arrows. Red arrows indicate mutations predicted to truncate the protein, while black arrows indicate missense alterations. Each tumour sample is depicted in a different colour.

Alterations of the histone methyltransferase MLL3 were identified in 27% (6/22) of carcinosarcomas. One of these tumours also harboured a splice site alteration in the related gene, MLL2. Mutations in these genes have been observed in ovarian clear cell carcinomas18 and are known to be involved in the tumorigenesis of medulloblastoma22, lung squamous cell carcinoma35 and Mantle cell lymphoma36. In addition, SPOP, a putative tumour suppressor involved in chromatin remodelling was found to be altered in 3 cases (14%). Mutations in SPOP have been previously reported in endometrial37, prostate38, lung39 and colorectal cancers40. These mutations fall nearby the reported alterations within the MATH domain and the encoded protein is known to modulate the transcriptional repression activities of DAXX, a component of the histone deacetylase co-repressor complex41. BAZ1A, an accessory unit of the ATP-dependent chromatin assembly factor42 was mutated in 4 of the 22 carcinosarcomas. BAZ1A is mutated at a low frequency in ovarian cancer19 and deletions of this gene are known to occur in renal papillary carcinoma43. Overall, approximately two-thirds of cases harboured mutations in genes involved in chromatin remodelling or modification.

Mutations in the tumour suppressor gene, FBXW7, were identified in 23% (5/22) of cases. The encoded protein is a member of the SCF (SKP-cullin-F-box) ubiquitin ligase complex that targets cyclin E for degradation44. One mutation was a frameshift predicted to truncate the protein and the other three missense alterations were clustered in the WD repeat domain. Tumour MM19 carried the previously described hotspot mutation, 505R>C. FBXW7 is mutated in a number of different tumour types, including colorectal and haematopoietic malignancies, and has been recently reported in approximately a third of endometrial cancers20,37.

The serine/threonine phosphatase, PPP2R1A, was mutated in one uterine carcinosarcoma. Alterations in this gene were initially identified in ovarian clear cell carcinomas18 and more recently in a range of tumour types, including a number of endometrial cancers and across different ovarian cancer subtypes24,45. The missense mutation, 180M>R, falls nearby other hotspot mutations within the HEAT domain18,24.

Consistent with the accepted theory of carcinosarcomas arising from a single cell, mutations in known cancer genes identified through whole-exome analyses appeared to be clonal in nature. Seven of the cases had TP53 mutation frequencies above 80%, indicating a homozygous change in all tumour cells when adjusted for the presence of contaminating normal tissue, while heterozygous mutations in TP53 or other known cancer genes in 10 additional cases were present at an average of 49.5%. These analyses suggest that individual carcinosarcomas comprises a population of cells that contain largely identical somatic sequence alterations.

Clinically actionable alterations

There are currently no targeted therapies for carcinosarcomas and the prognosis for patients with this tumour type is poor. We investigated whether the observed mutations may be clinically actionable using existing or investigational therapies. We examined genetic alterations that were associated with Food and Drug Administration-approved therapies for oncologic indications, therapies in published prospective or retrospective clinical studies and ongoing clinical trials for cancer patients. We also evaluated alterations in 84 well-known cancer predisposing genes in the patients’ germline that may affect cancer susceptibility as detection of such changes have important implications for early detection and intervention. We identified mutations in a number of potentially clinically actionable genes (Table 1). The PI3-kinase pathway was activated in over half of the carcinosarcomas through alterations in PIK3CA, PIK3R1 and PTEN. Targeted inhibition of this pathway using PI3K/mammalian target of rapamycin/AKT/MEK inhibitors has been reported and is being studied in ongoing Phase I and II trials in endometrial cancer and other tumour types46,47,48,49. A known hotspot missense mutation, 104V>M, in the extracellular domain of the kinase ERBB3 (ref. 50) was observed in a single tumour, and antibodies targeting this protein have been in clinical development, including phase II studies. Similarly, KRAS hotspot mutations were identified in five cases and tumours of these patients may respond to MEK/BRAF inhibitors. Pre-clinical evidence suggests that loss of FBXW7 function, as observed in a number of the carcinosarcomas, may result in sensitivity to HDAC inhibitors51. Two somatic nonsense mutations in BRCA2, a frameshift in BRCA1 and a splice site alteration of FANCM were also identified providing further evidence for the role of homologous recombination repair defects in carcinosarcomas52. In addition, we identified a nonsense mutation (3326K>X) in the BRCA2 gene in the germline of a patient (MM08) with a family history of cervical (mother) and lung cancer (sister). Tumours of these patients may be sensitive to DNA cross-linking agents and to poly (ADP-ribose) polymerase inhibitors53,54. The relatively high frequency of mismatch repair-deficient tumours may also be clinically significant, as the efficacy of the antibody, MK-34775, is actively being evaluated in patients with microsatellite unstable tumours.

Table 1: Alterations in genes with potential clinical actionability.


These analyses have provided the most comprehensive characterization of the mutational landscape of carcinosarcomas to date. Our data show that carcinosarcomas have one of the highest frequencies of chromatin remodelling dysregulation of all tumour types analysed to date. The most highly mutated genes, ARID1A, along with ARID1B, are key components of the conserved, ATP-dependent SWI/SNF chromatin remodelling complex55. This complex uses helicase activity to allow transcription factors access to DNA56 and is important in the regulation of multiple cellular processes, including DNA repair, cell cycle progression and cell migration57,58. Inactivation of the ARID1 complex appears to be particularly important in gynaecological cancers as observed in this study and in other tumours of the female genital tract18,24,29. Among the microsatellite-stable tumours, ARID1A mutations were unique to carcinosarcomas originating in the ovaries, which may suggest different mutational signatures in carcinosarcomas of different sites. This is a potentially significant finding as the prognosis for ovarian carcinosarcomas tends to be better than for those of the uterus8.

Other genes involved in chromatin modification in this tumour type include MLL3, SPOP and BAZ1A. MLL3 encodes a histone H3K4 trimethylase that is part of the ASC-2 complex (ASCOM). This complex is a co-activator of TP53 and regulates the expression of TP53 target genes in response to DNA damage59. Members of the MLL family have also been shown to have a role in HOX gene expression60 and Wnt signalling61. SPOP is a BTB (Bric-a-brac/Tramtrack/Broad complex) protein that recruits DAXX to the ubiquitin ligase Cul3, resulting in ubiquitination and degradation of the DAXX protein62. This leads to the reversal of DAXX-mediated repression of ETS1 and p53-dependent transcription62. The BAZ1A gene encodes the accessory subunit of the ATP-dependent chromatin assembly factor. This complex generates and maintains nucleosome spacing, a function critical for chromatin condensation and appropriate gene silencing42. These observations suggest that a variety of different aspects of chromatin regulation and modification are genetically altered in carcinosarcomas. Genomic analyses in other tumour types have shown that somatic mutations of epigenetic regulators can have important clinical consequences, including improved outcome in patients with DAXX/ATRX alterations in pancreatic neuroendocrine tumours63 and gliomas64, and a decreased survival in patients with ARID1A and ARID1B mutations in neuroblastoma23.

The presence of carcinoma and sarcomatous components in MMMTs has hindered the clinical management of patients, as the prognosis and appropriate therapies for carcinomas and sarcomas differ. These molecular data support the idea that carcinosarcomas are most similar to carcinomas, based on the presence of alterations in genes such as PTEN that have only rarely been observed in endometrial sarcomas65 and uterine sarcomas66, but are common in uterine adenocarcinomas67. In addition, the number of non-synonymous mutations observed in the carcinosarcomas was similar to that reported in carcinomas and significantly higher than is typical for sarcomas analysed to date19,68. Our genomic analyses suggest that the unusual pathology of this tumour type could be related to the loss of control of genetic programing as a result of mutations in chromatin remodelling genes in the specific context of progenitor cells that lead to carcinosarcomas.

In addition to providing therapeutic insight, understanding the mutational profile of MMMTs will be beneficial for diagnostic purposes, including early detection, which can immediately have an impact on survival. Recent studies have used mutations as highly specific biomarkers heralding the presence of malignancy even at the earliest stages by sequencing cell-free DNA in the circulation as well as DNA extracted from liquid Papanicolaou smear specimens for the detection of gynaecological cancers69,70.

Defining the mutational landscape of carcinosarcomas has highlighted alterations in specific genes and pathways that may aid the diagnosis and future clinical management of patients with this malignancy. Alterations of the PI3K and DNA repair pathways have identified specific actionable targets, which have not been previously considered in this tumour type, as well as a frequent dysregulation of chromatin remodelling. These analyses suggest future efforts at defining the downstream targets of chromatin regulators in carcinosarcomas as well as interventional clinical trials based on potentially actionable alterations observed in these cancer patients.



Twenty-two carcinosarcoma tumour samples and matched normal tissues were obtained with consent from all study participants and approved for research use by the OHSU Institutional Review Board and the Knight BioLibrary. Eleven patients were treated with chemotherapy or radiation after surgery. Samples underwent pathological review to determine tumour cellularity. Tumours were macrodissected to remove contaminating normal tissue. An average of 85% neoplastic cellularity was obtained. DNA was extracted from 10 fresh-frozen tumours, 12 formalin-fixed paraffin embedded tumours and matched normal tissue samples (Supplementary Table 1).

Library generation and sequencing

Genomic DNA from tumour and normal samples were fragmented and used for Illumina TruSeq library construction (Illumina, San Diego, CA). Exonic regions were captured in solution using the Agilent SureSelect 51 Mb kit (version 4) according to the manufacturer’s instructions (Agilent, Santa Clara, CA). Paired-end sequencing, resulting in 100 bases from each end of the fragments, was performed using a HiSeq 2000 Genome Analyzer (Illumina).

Bioinformatic analyses

Sequencing reads were analysed and aligned to human genome hg19 with the Eland algorithm in CASAVA 1.7 software (Illumina). Reads were mapped using the default seed-and-extend algorithm, which allowed a maximum of two mismatched bases in the first 32 bp of sequence. Identification of somatic alterations was performed using a next-generation sequencing analysis pipeline that enriched for tumour-specific single-nucleotide alterations and small indels. Briefly, for each position with a mismatch (compared with the hg19 reference sequence using the Eland algorithm), the read coverage of the mismatched and wild-type sequence at that base was calculated. For determination of tumour-specific alterations, tumour and matched normal sequences were compared and known polymorphisms were removed from the analysis. Potential somatic mutations were filtered and visually inspected, and a candidate-mismatched base was identified as a mutation when distinct paired tags contained the mismatched base and the mismatched base was not present in the matched normal sample.

Additional information

Accession codes: Carcinosarcoma exome sequence data has been deposited at the European Genome-phenome Archive (, which is hosted by the EBI, under the accession code EGAS00001000941.

How to cite this article: Jones, S. et al. Genomic analyses of gynaecologic carcinosarcomas reveal frequent mutations in chromatin remodelling genes. Nat. Commun. 5:5006 doi: 10.1038/ncomms6006 (2014).


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We thank David R. Riley and Karli Lytle for their assistance with next-generation sequencing analyses. This work was supported in part by Dr Miriam and Sheldon G. Adelson Medical Research Foundation, the Commonwealth Foundation, Swim Across America, and NIH grant CA121113.

Author information

Author notes

    • Siân Jones
    •  & Nicolas Stransky

    These authors contributed equally to this work


  1. Personal Genome Diagnostics, Baltimore, Maryland 21224, USA

    • Siân Jones
    • , Christine L. McCord
    • , Samuel V. Angiuoli
    • , Mark Sausen
    • , Lisa Kann
    •  & Manish Shukla
  2. Blueprint Medicines, Cambridge, Massachusetts 02142, USA

    • Nicolas Stransky
    • , Ethan Cerami
    •  & Christoph Lengauer
  3. Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon 97239, USA

    • James Lagowski
    • , Devon Kelly
    •  & Rosemary Makar
  4. Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, USA

    • Laura D. Wood
  5. The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA

    • Luis A. Diaz Jr
    •  & Victor E. Velculescu
  6. Swim Across America Laboratory and the Ludwig Center for Cancer Genetics and Therapeutics at Johns Hopkins, Baltimore, Maryland 21287, USA

    • Luis A. Diaz Jr


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S.J. and N.S. performed the analyses, and wrote and revised the paper. C.L.M., E.C., S.V.A. and M.S. analysed the data. J.L. and D.K. collected the specimens and provided clinical information. L.K. and M.S. carried out the experimental work. R.M. and L.D.W. provided histopathological confirmation. L.A.D., C.L. and V.E.V. conceived the study, and wrote and revised the paper.

Competing interests

L.A.D. and V.E.V. are co-founders of Personal Genome Diagnostics and are members of its Scientific Advisory Board and Board of Directors. L.A.D. and V.E.V. own Personal Genome Diagnostics stock, which is subject to certain restrictions under University policy. The terms of these arrangements are managed by the Johns Hopkins University in accordance with its conflict-of-interest policies. The remaining authors declare no competing financial interests.

Corresponding authors

Correspondence to Christoph Lengauer or Victor E. Velculescu.

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