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Case Report ARTICLE

Front. Pharmacol., 25 September 2017 | https://doi.org/10.3389/fphar.2017.00652

Molecular Guided Therapy Provides Sustained Clinical Response in Refractory Choroid Plexus Carcinoma

Albert Cornelius*, Jessica Foley, Jeffrey Bond, Abhinav B. Nagulapally, Julie Steinbrecher, William P. D. Hendricks, Maria Rich, Sangeeta Yendrembam, Genevieve Bergendahl, Jeffrey M. Trent and Giselle S. Sholler*
  • Pediatric Oncology Translational Research Program, Helen DeVos Children's Hospital at Spectrum Health, Grand Rapids, MI, United States

Choroid plexus carcinomas (CPCs) are rare, aggressive pediatric brain tumors with no established curative therapy for relapsed disease, and poor survival rates. TP53 Mutation or dysfunction correlates with poor or no survival outcome in CPCs. Here, we report the case of a 4 month-old female who presented with disseminated CPC. After initial response to tumor resection and adjuvant-chemotherapy, the tumor recurred and metastasized with no response to aggressive relapse therapy suggesting genetic predisposition. This patient was then enrolled to a Molecular Guided Therapy Clinical Trial. Genomic profiling of patient tumor and normal sample identified a TP53 germline mutation with loss of heterozygosity, somatic mutations including IDH2, and aberrant activation of biological pathways. The mutations were not targetable for therapy. However, targeting the altered biological pathways (mTOR, PDGFRB, FGF2, HDAC) guided identification of possibly beneficial treatment with a combination of sirolimus, thalidomide, sunitinib, and vorinostat. This therapy led to 92% reduction in tumor size with no serious adverse events, excellent quality of life and long term survival.

Introduction

In January 2011, a 4 month old female presented with increased emesis and a bulging fontanelle and was diagnosed with Choroid Plexus Carcinoma (CPC) in the right ventricle with metastatic tumor cells present in the cerebral spinal fluid (CSF) and leptomeningeal carcinomatosis. After a complete tumor resection, the patient received the following adjuvant-chemotherapy for 12 cycles (cyclophosphamide, carboplatin, etoposide) according to published CPC therapy and was in remission (Berrak et al., 2011).

Within 1 year of completing chemotherapy the tumor recurred in August 2012 at 23 months of age. MRI revealed new lesions in the right and left ventricles; the spine and CSF were negative for disease. She began treatment with relapse chemotherapy which included bevacizumab, irinotecan, and temozolomide during which time the tumor progressed. This was followed by high dose methotrexate and vincristine which resulted in stable disease but significant vomiting. The patient then received high dose carboplatin and vincristine alternating with ifosfamide and etoposide with stable disease but significant hematologic and infectious toxicity. The patient again received high dose methotrexate and vincristine but at this time had progression of disease and metastases to the spine (Table 1). Notably, the patient had no definitive response to any standard relapse chemotherapy options.

TABLE 1
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Table 1. Relapse chemotherapy treatment strategy, molecular guided therapy strategy, and associated costs.

Background

Choroid plexus carcinomas (CPCs) are rare, aggressive brain tumors arising from the cerebral ventricular epithelium and comprising 10–20% of intracranial tumors in children less than 1 year of age. The annual incidence is 0.3 cases per million (Sun et al., 2014). CPCs are associated with a poor prognosis with the 5-year event-free survival rate at 10–50% dependent on extent of surgical resection (Wrede et al., 2007; Sun et al., 2014). Adjuvant chemotherapy may be beneficial in CPC (Wrede et al., 2007), but it remains to be determined which agents are the most beneficial. The genetic basis of CPC is poorly understood. CPC is known to have a strong association with Li-Fraumeni Syndrome and TP53 mutations, but understanding of the underlying biology and molecular alterations in these cancers is incomplete. While genome-wide sequence variation, copy number alteration, or methylation have been reported (Rickert et al., 2002; Ruland et al., 2014; Merino et al., 2015; Tong et al., 2015) we do not yet have a comprehensive description of the genomic landscape of CPC. Approximately 50% of patients have—TP53 mutations, while CPCs in patients without a mutation in TP53, harbored other alterations in the p53 pathway, suggesting that p53 signaling dysfunction is involved in CPC formation (Tabori et al., 2010). Patients with TP53 mutations had a worse prognosis, with 100% survival in patients with TP53 wild type tumors and negative TP53 immunostaining, and 0% survival in patients with TP53 immunopositivity, a marker for TP53 dysfunction (Tabori et al., 2010).

CPCs are aggressive tumors and have a high incidence of recurring and spreading to multiple regions of the body (Ogiwara et al., 2012). Lack of epidemiological data, few reported cases, and controversies surrounding treatment regimens makes it difficult to establish a standardized therapeutic approach in managing CPC. Currently, total tumor resection is the primary goal for treatment. A study by Bettegowda et al. found that 80% of patients who underwent gross total resection remained disease free (Bettegowda et al., 2012). In spite of total resection and adjuvant therapy, the tumor relapsed in our patient suggesting underlying genetic predisposition.

A need exists for improved targeted therapy options for patients with CPC, especially with mutations in the TP53 pathway, or other rare cancers. In order to understand the underlying genetic mechanisms of a malignancy genomic sequencing and analysis may lead to identification of novel therapies or repurposing of older medications. One such approach is described here with targeting the tumor biology directed therapy rather than the conventional chemotherapy. It is important to report upon these methods and those who have responded when targeted therapy has been used. Here we report one such exceptional responder.

Discussion

Resection of one of the progressing tumors was performed and this patient was enrolled on Molecular Guided Therapy NMTRC008 study “Feasibility Trial Using Molecular Guided Therapy for the Treatment of Patients with Relapsed and Refractory Childhood Cancer” after obtaining written informed consent for study and written informed consent was obtained from the patient for the publication of this case report (Clinical Trial Indentifier: NCT01802567, Study ID: NMTRC008). This study was conducted under FDA approval for IDE G100111. Patient safety was evaluated by monitoring of adverse events and response was determined by radiological examination with serial MRI of the brain. The tumor was sent for DNA and RNA sequencing and the genomic analysis was discussed in a Molecular Tumor Board where a precision medicine therapy was designed for this patient.

DNA Mutation Analysis

Tumor samples from the patient were analyzed for DNA mutation using Ion AmpliSeq™ Cancer Hotspot Panel v2 (Thermo Fisher Scientific, Waltham, MA) on Ion Torrent (Thermo Fisher Scientific) at the Spectrum Health Laboratory. Whole-exome sequencing (WES) was performed at The Translational Genomics Research Institute (TGen) through hybridization using SureSelect Human All Exon 50 Mb kit (Agilent Technologies, Santa Clara, CA) and sequenced on the Illumina HiSeq2000 using paired-end read chemistry and read lengths of at least 105 bp.

The overall somatic exome mutation burden was low (Table 1, Figure 1A, and Table S1). We found only eight somatic missense substitutions, three frameshift and four somatic insertions/deletions predicted to alter protein sequence at >20% variant allele frequency (VAF) (Table 1). Somatic alterations between 10–20% VAF (Table S1), Loss of Heterozygosity (Table S2), and Germline (Table S3) are reported as Supplementary. Both sequencing technologies identified amino acid substitution IDH2W164C at 23% VAF in the tumor tissue (Table 1, Figure 1B). IDH2 was recognized as cancer genes in a study involving 21 tumor types (Lawrence et al., 2014).

FIGURE 1
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Figure 1. Genomic Analysis of the CPC patient. (A) Circos plot of WES results. (B) Mutation Diagrams of IDH2 and TP53 (Tetramerization) in context of protein domains. (C) Differential gene expression in the CPC patient. Gene expression levels were compared to a normal whole body reference composed of 45 normal tissues and assigned as Z-scores. (D) Schematic presentation of signaling pathways affected in the CPC patient's tumor and drug targets. These pathways include mTOR, PDGFRB, FGF2, HDAC3, and HDAC8. The treatments chosen for this patient include Sunitinib, Thalidomide, Sirolimus, and Vorinostat.

Exome sequencing of normal tissue found TP53 amino acid substitution F338C at 51% VAF, demonstrating heterozygosity in the germline. Ion Torrent as well as exome sequencing found this substitution at 81% VAF in the tumor (Table 2, Figure 1B). Exome sequencing of the tumor/normal pair established loss of heterozygosity based on Fisher's exact test (p < 0.01), consistent with the results of Ion Torrent sequencing at much higher coverage. This variant has not been observed in large scale population sequencing studies and is predicted to have functional consequences based on PolyPhen2 and SIFT. It seems reasonable to conclude that the combination of (1) a damaging and rare variant in germline with (2) somatic alteration of the wild type allele (loss of heterozygosity) in the tumor played a role in the development of this tumor. Overall, no known targetable mutations were found for both somatic and germline variation associated with cell proliferative disorders.

TABLE 2
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Table 2. Description of Somatic acquired point mutations and rare polymorphism detected in CPC patient by whole-exome sequencing.

Copy Number Variation

Several segmental changes consistent with chromosomal instability were identified using WES. This includes large-scale gains in chromosomes 4 (p11-q35.2) and 8 (p11.1-q22.2) as well as focal losses at 9p, 11q, 15q, 16q, 17q, and 22q (Figure 1A, Figure S1). Among the genes localized within large-scale gains are well-established oncogenes: FGFR1, FGFR3, KIT, PDGFRA.

Pathway Analysis and Drug Targets

The resected relapsed tumor sample was sent to the CLIA-certified Clinical Reference Laboratory (CRL) for mRNA expression analysis using U133 2.0 Plus GeneChip (RIN = 9.8). A portion of the same RNA preparation was used for RNA-Seq obtained using Illumina HiSeq2000 at Translational Genomics Research Institute (TGen). The RNA expression levels were compared to a normal whole body reference composed of 45 normal tissues. Differential expression data was interpreted in the context of systems biology annotation for the purpose of identifying activated cellular processes targetable by drugs. Differentially expressed genes are presented as a waterfall graph (Figure 1C). To investigate relationships, mechanisms and functions encoded by differentially expressed genes, z-scores from RNA expression were further analyzed by QIAGEN's Ingenuity Pathway Analysis (IPA, http://www.qiagen.com/ingenuity). IPA identified activation of mTOR signaling pathway (z-score = 2.7). IPA Causal analytics tools predicted activation of TP53 (z-score = 3.7) as an Upstream Regulator, raising the possibility that the consequences of the TP53 mutation are complex. IPA also predicted activation of EIF4E (z-score = 3.2) and “inhibition” of sirolimus drug (z-score = –4.3) by Causal Network Analysis. Our patient also had overexpression of targetable genes namely PDGFRB (z-score = 4.6), FGF2 (z-score = 9.8), histone deacetylase HDAC3 (z-score = 5.2), and HDAC8 (z-score = 2.1).

Drug treatments were identified based on gene expression profile of the patient's tumor (Figure 1D). These genome-wide Z-scores are used as input to OncInsights drug identification service (Intervention Insight LLC, Waltham, MA). The OncInsight's algorithms are based on biomarker rules, drug target expression, network-based methods, drug response, and drug sensitivity signatures (Saulnier Sholler et al., 2015).

Molecular Tumor Board Decision

Based on the genomic analysis of the subject's tumor, the molecular tumor board consisting of oncologists, pharmacists, bioinformaticians, and researchers, discussed the patient's previous therapy and current condition. Given the incurable nature of the disease and extensive inpatient therapy the patient previously received which caused significant toxicity, the family requested only oral medications to be prescribed to allow time at home. A treatment regimen was chosen with regards to safety, low toxicity, and targeted mechanism. The chosen pharmacologic agents included sirolimus (targeting mTOR), thalidomide (targeting FGF2), sunitinib (targeting PDGFRB), and vorinostat (targeting HDAC) per the overexpression of pathways and genes shown in Figure 1D.

Treatment Course and Adverse Events

The therapy was given as described in Table 1 as continuous 28 day cycles. This oral treatment combination was well-tolerated with no serious adverse events or admissions and excellent quality of life. The adverse events noted include expected Grade 3 neutropenia and thrombocytopenia in cycle 3, 10, 15, and 19. In cycle 3, vorinostat was adjusted to 5 days/week and then in cycle 11 the vorinostat was adjusted to 4 days/week to prevent thrombocytopenia. A decision was made in cycle 19 to discontinue vorinostat and at the end of cycle 24 to discontinue sunitinib (due to long term risk of secondary cancers). The patient continues on thalidomide and sirolimus for another 15 cycles without adverse events.

Radiological Response—MRI

After 36 months of the MGT treatment, the patient's MRI showed a 92% tumor reduction from 7.1 × 5.3 × 8.9 mm (335 mm3) to 3 × 3 × 3 mm (27 mm3) (Figure 2). The spinal tumor and disease noted in the CSF cleared. It is unclear whether the residual mass is active tumor, matured tumor or fibrosis but it is noted that this has not increased in size while off therapy for 1 year without additional treatment.

FIGURE 2
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Figure 2. Serial MRI imaging of the CPC patient. MRI at the start of molecular guided therapy regimen (left, Sept 2013), at 7 months (March 2014), at 20 months (June 2015), and at 36 months (September 2016). The arrows indicate the location of the tumor and size reduction over the course of treatment.

Cost of Treatment

To assess the overall cost of this repurposed drug therapy we added the drug cost, the cost of inpatient or outpatient care during drug administration, supportive medications and the cost of caring for complications of therapy such as fever and neutropenia, transfusion or continued hospitalization for control of nausea and vomiting. We did not include additional costs such as loss of income to the family from missed days of work, or other incidental costs. We averaged the cost of each therapy per month of treatment and show the results in Table 1. While the MGT required medications of thalidomide, sunitinib, sirolimus, and vorinostat, which were in general more expensive than most chemotherapy medications (except Carboplatin and Avastin), the overall cost of therapy was less each month. One month of MGT cost $19,130 while the high-dose Methotrexate/Vincristine cost $32,520/month, Ifosfamide/Etoposide cost $47,800/month, and Vincristine/Carboplatin cost $38,823/month. Only Temodar/Irinotecan/Avastin was less expensive at $10,723/month.

Genomic Analysis

Genetic basis of CPC is not fully understood, however, it is suggested that germline alterations of TP53 predispose to CPC in humans (Sevenet et al., 1999; Olivier et al., 2003; Tinat et al., 2009; Custodio et al., 2011). This was further shown in animal models that ablation of TP53 function causes CPCs in mice (Brinster et al., 1984; Saenz Robles et al., 1994). Copy number alterations that we identified, large scale gains in chromosomes 4 and 8 as well as a focal loss in chromosome 22q, have been described previously in CPC (Rickert et al., 2002; Ruland et al., 2014; Merino et al., 2015; Tong et al., 2015). In evaluating expression data, Koos et al. (2009) demonstrated activation of PDGFRB in CPC by comparison with choroid plexus papilloma, and quantified response to imatinib in cell culture. Indeed, we found a rare germline missense mutation of TP53F338C in our patient. This variant has not been reported in large scale population sequencing studies. PolyPhen2 and SIFT analysis predicted this missense variant as a damaging mutation that may have pathological consequences. One report suggested this mutant may retain partial transactivity (Kawaguchi et al., 2005). Our analysis further predicted that the patient's tumor expressed only mutant TP53 with loss of heterozygosity of the other wild-type TP53 allele. TP53 mutations with loss of heterozygosity often have high metastatic and chemotherapy resistant properties due to accumulation of mutant TP53 with oncogenic gain-of-function (Gonzalez et al., 1995; Alexandrova et al., 2017). A study reported that whereas prognosis was excellent for CPC patients with wild type TP53, 5-year overall survival of patients with TP53 immunopositivity (TP53 dysfuntion) dropped to 0% (Bettegowda et al., 2012). These findings were consistent with our patient whose tumor relapsed in <2 years and it was refractory to standard aggressive relapse treatments.

We also identified a novel somatic missense mutation on IDH2W164C. IDH mutations have been found in other cancers particularly gliomas and acute myeloid leukemia (Dang et al., 2010; Yang et al., 2012). The association of IDH mutations and TP53 in tumorigenesis has been explored in gliomas. The majority of the literature examined IDH1, which occurs more frequently. However, Yan et al. did find that 80% of anaplastic astrocytomas and glioblastomas with a mutation in IDH1 or IDH2 also had a mutation in TP53 (Yan et al., 2009). Though the association of IDH1 and TP53 has been examined in the literature, the role of IDH2 remains more difficult to characterize given the relatively few tumors that are IDH2 mutated. The role of IDH2 missense mutation at tryptophan 164 identified in our patient is not known. However, this mutation remains an interesting target to study the tumorigenic mutants of IDH2.

Although several compounds have been developed as TP53 mutant inhibitors (Parrales and Iwakuma, 2015), no specific inhibitor has been identified for the particular TP53 mutation found in our patient. Similarly, there was no inhibitor for the IDH2 mutation seen here. This led us to focus our effort toward differentially expressed genes. Pathway analyses identified biological processes and signaling pathways that were significantly enriched for genes of which expressions were altered in the patient's tumor including mTOR pathway, PDGFRB, FGF2, HDAC3, and HDAC8. Interestingly, there appears to be a correlation between mutations identified and pathways/genes altered in the subject's tumor. For example, activation of wild type TP53 was shown to inhibit mTOR activity and its downstream targets (Feng et al., 2005). Constitutive activation of mTOR pathway in our subject's tumor may presumably be attributed to loss of normal TP53 function. A study found that missense mutations in the TP53 gene caused induction of PDGFRB and metastasis (Weissmueller et al., 2014), similar to what we observed in our patient. These findings emphasized that targeting aberrant pathways is a viable option for the treatment of patients.

Anti-cancer activity of Sirolimus and other mTOR inhibitors have been explored in many cancers (Polivka and Janku, 2014) but very little is known in CPC. Our patient's tumor demonstrated overexpression of EIF4E, an oncogene and downstream molecule of mTOR (Dowling et al., 2010). Targeting mTOR with sirolimus was shown to inhibit EIF4E (Martin et al., 2014). We assumed this will potentially block cell proliferation. FGF2, a known angiogenic factor, was highly upregulated (z-score = 9.86) in our patient's tumor, making it an important target. Thalidomide is a potent inhibitor of angiogenesis and FGF2. Thalidomide was withdrawn from the market due to teratogenicity but, in recent years, there has been a renewed interest in the use of thalidomide as an antitumor agent. The main use of thalidomide is in the treatment of multiple myeloma (Rajkumar et al., 2006). In pediatric brain tumors, thalidomide given as a metronomic therapy in combination with other agents has shown some response (Peyrl et al., 2012; Porkholm et al., 2014). A recent study demonstrated successful treatment of refractory metastatic gastroesophageal adenocarcinoma with thalidomide in combination with rapamycin (sirolimus). The decision to include sunitinib and vorinostat was based on our findings that PDGFRB and HDAC3/8 were overexpressed in our patient's tumor. Sunitinib is an oral small molecule tyrosine kinase inhibitor that has activity against PDGFRB, a proto-oncogene that can be activated in cancer cells (Chow and Eckhardt, 2007). Vorinostat is a known pan HDAC inhibitor (Conti et al., 2010). It has been used in several brain tumor clinical trials both as single agent therapy and in combination with other drugs (Bezecny, 2014). Interestingly, HDAC inhibition through vorinostat was shown to induce degradation of mutant p53 in cancer cells (Marks, 2007; Li et al., 2011). These results further emphasized that there are overlapping pathways between mutations observed in our patient's tumor and biological pathways altered. Treatment with this combination resulted in a sustained response in our patient with excellent quality of life. These findings suggest that this drug combination is a reasonable adjuvant treatment option for relapsed CPC.

Concluding Remarks

Molecularly targeted therapies tailored to the patient's genetic profile offer a novel approach to obtain improved survival outcomes. In this case study, we report a child with recurrent and metastatic CPC. Due to the refractory and incurable nature of the disease, the patient was enrolled on a clinical trial studying molecular guided therapy. Under this protocol, we molecularly profiled the subject's tumor. Genetic variations as well as a number of genes highly over and under expressed relative to normal tissues were identified, which led to a therapeutic plan. After 36 months of the molecular guided therapy treatment, the patient's MRI showed 92% tumor reduction and the metastatic tumor was cleared. The residual 3 mm nodule remaining is not resectable and may no longer be active tumor as this has not increased in size off therapy. The patient, now 6 years old, continues to thrive 1 year after completion of molecular guided therapy treatment (4 years from enrollment on study).

Using genomic analysis of patient tumors may be one way to identify medications which can be repurposed for new indications. One of the most common criticisms of molecularly guided therapy is the cost of many of the medications, this may not be the case when considering older medications. While some medications may be costlier, our analysis of this patient demonstrated that the overall cost of therapy was less using molecular guided therapy than conventional chemotherapy. When considering the cost of therapy, physicians and payers should consider not only the cost of medications requested, but also the overall cost of therapy including inpatient time and treatment of toxicities.

This case study demonstrates successful treatment of a patient who presented with a refractory and incurable metastatic CPC and highlights the importance of incorporating molecular guided therapy in treatment options for such cases. To the best of our knowledge, this is the first report of adjuvant therapy in this combination with CSF clearing and a sustained response. This clinical report may guide future clinical trials and therapies that are molecularly-guided for each patient.

Author Contributions

Experimental Design of Clinical Trial: GS, JT, JF, AC, and GB. Patient Care of Case: AC, JS, JF, and MR. Bioinformatic Analysis: JB, AN, and WH. Data Analysis: GS, AC, WH, AN, JT, and MR. Writing of Manuscript: AC, GS, JF, MR, and JS. Editing of Manuscript: SY, GS, and GB.

Funding

The funding sources include Dell, Beat NB Foundation, Meryl and Charles Witmer Foundation. The funding organizations did not have a role in the research or writing of the manuscript. The research was approved by the Western Institutional Review Board as well as by local Institutional Review Boards at 21 enrolling hospitals.

Conflict of Interest Statement

The 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.

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/article/10.3389/fphar.2017.00652/full#supplementary-material

References

Alexandrova, E. M., Mirza, S. A., Xu, S., Schulz-Heddergott, R., Marchenko, N. D., and Moll, U. M. (2017). p53 loss-of-heterozygosity is a necessary prerequisite for mutant p53 stabilization and gain-of-function in vivo. Cell Death Dis. 8:e2661. doi: 10.1038/cddis.2017.80

CrossRef Full Text | Google Scholar

Berrak, S. G., Liu, D. D., Wrede, B., and Wolff, J. E. (2011). Which therapy works better in choroid plexus carcinomas? J. Neurooncol. 103, 155–162. doi: 10.1007/s11060-010-0372-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Bettegowda, C., Adogwa, O., Mehta, V., Chaichana, K. L., Weingart, J., Carson, B. S., et al. (2012). Treatment of choroid plexus tumors: a 20-year single institutional experience. J. Neurosurg. Pediatr. 10, 398–405. doi: 10.3171/2012.8.PEDS12132

PubMed Abstract | CrossRef Full Text | Google Scholar

Bezecny, P. (2014). Histone deacetylase inhibitors in glioblastoma: pre-clinical and clinical experience. Med. Oncol. 31:985. doi: 10.1007/s12032-014-0985-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Brinster, R. L., Chen, H. Y., Messing, A., van Dyke, T., Levine, A. J., and Palmiter, R. D. (1984). Transgenic mice harboring SV40 T-antigen genes develop characteristic brain tumors. Cell 37, 367–379. doi: 10.1016/0092-8674(84)90367-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Chow, L. Q., and Eckhardt, S. G. (2007). Sunitinib: from rational design to clinical efficacy. J. Clin. Oncol. 25, 884–896. doi: 10.1200/JCO.2006.06.3602

PubMed Abstract | CrossRef Full Text | Google Scholar

Conti, C., Leo, E., Eichler, G. S., Sordet, O., Martin, M. M., Fan, A., et al. (2010). Inhibition of histone deacetylase in cancer cells slows down replication forks, activates dormant origins, and induces DNA damage. Cancer Res. 70, 4470–4480. doi: 10.1158/0008-5472.CAN-09-3028

PubMed Abstract | CrossRef Full Text | Google Scholar

Custodio, G., Taques, G. R., Figueiredo, B. C., Gugelmin, E. S., Oliveira Figueiredo, M. M., Watanabe, F., et al. (2011). Increased incidence of choroid plexus carcinoma due to the germline TP53 R337H mutation in southern Brazil. PLoS ONE 6:e18015. doi: 10.1371/journal.pone.0018015

PubMed Abstract | CrossRef Full Text | Google Scholar

Dang, L., Jin, S., and Su, S. M. (2010). IDH mutations in glioma and acute myeloid leukemia. Trends Mol. Med. 16, 387–397. doi: 10.1016/j.molmed.2010.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Dowling, R. J., Topisirovic, I., Fonseca, B. D., and Sonenberg, N. (2010). Dissecting the role of mTOR: lessons from mTOR inhibitors. Biochim. Biophys. Acta 1804, 433–439. doi: 10.1016/j.bbapap.2009.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Feng, Z., Zhang, H., Levine, A. J., and Jin, S. (2005). The coordinate regulation of the p53 and mTOR pathways in cells. Proc. Natl. Acad. Sci. U.S.A. 102, 8204–8209. doi: 10.1073/pnas.0502857102

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonzalez, M. V., Pello, M. F., Lopez-Larrea, C., Suarez, C., Menendez, M. J., and Coto, E. (1995). Loss of heterozygosity and mutation analysis of the p16 (9p21) and p53 (17p13) genes in squamous cell carcinoma of the head and neck. Clin. Cancer Res. 1, 1043–1049.

PubMed Abstract | Google Scholar

Kawaguchi, T., Kato, S., Otsuka, K., Watanabe, G., Kumabe, T., Tominaga, T., et al. (2005). The relationship among p53 oligomer formation, structure and transcriptional activity using a comprehensive missense mutation library. Oncogene 24, 6976–6981. doi: 10.1038/sj.onc.1208839

PubMed Abstract | CrossRef Full Text | Google Scholar

Koos, B., Paulsson, J., Jarvius, M., Sanchez, B. C., Wrede, B., Mertsch, S., et al. (2009). Platelet-derived growth factor receptor expression and activation in choroid plexus tumors. Am. J. Pathol. 175, 1631–1637. doi: 10.2353/ajpath.2009.081022

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawrence, M. S., Stojanov, P., Mermel, C. H., Robinson, J. T., Garraway, L. A., Golub, T. R., et al. (2014). Discovery and saturation analysis of cancer genes across 21 tumour types. Nature 505, 495–501. doi: 10.1038/nature12912

PubMed Abstract | CrossRef Full Text

Li, D., Marchenko, N. D., and Moll, U. M. (2011). SAHA shows preferential cytotoxicity in mutant p53 cancer cells by destabilizing mutant p53 through inhibition of the HDAC6-Hsp90 chaperone axis. Cell Death Differ. 18, 1904–1913. doi: 10.1038/cdd.2011.71

PubMed Abstract | CrossRef Full Text | Google Scholar

Marks, P. A. (2007). Discovery and development of SAHA as an anticancer agent. Oncogene 26, 1351–1356. doi: 10.1038/sj.onc.1210204

PubMed Abstract | CrossRef Full Text | Google Scholar

Martin, D., Nguyen, Q., Molinolo, A., and Gutkind, J. S. (2014). Accumulation of dephosphorylated 4EBP after mTOR inhibition with rapamycin is sufficient to disrupt paracrine transformation by the KSHV vGPCR oncogene. Oncogene 33, 2405–2412. doi: 10.1038/onc.2013.193

PubMed Abstract | CrossRef Full Text | Google Scholar

Merino, D. M., Shlien, A., Villani, A., Pienkowska, M., Mack, S., Ramaswamy, V., et al. (2015). Molecular characterization of choroid plexus tumors reveals novel clinically relevant subgroups. Clin. Cancer Res. 21, 184–192. doi: 10.1158/1078-0432.CCR-14-1324

PubMed Abstract | CrossRef Full Text | Google Scholar

Ogiwara, H., Dipatri, A. J. Jr., Alden, T. D., Bowman, R. M., and Tomita, T. (2012). Choroid plexus tumors in pediatric patients. Br. J. Neurosurg. 26, 32–37. doi: 10.3109/02688697.2011.601820

PubMed Abstract | CrossRef Full Text | Google Scholar

Olivier, M., Goldgar, D. E., Sodha, N., Ohgaki, H., Kleihues, P., Hainaut, P., et al. (2003). Li-Fraumeni and related syndromes: correlation between tumor type, family structure, and TP53 genotype. Cancer Res. 63, 6643–6650.

PubMed Abstract | Google Scholar

Parrales, A., and Iwakuma, T. (2015). Targeting oncogenic mutant p53 for cancer therapy. Front. Oncol. 5:288. doi: 10.3389/fonc.2015.00288

PubMed Abstract | CrossRef Full Text | Google Scholar

Peyrl, A., Chocholous, M., Kieran, M. W., Azizi, A. A., Prucker, C., Czech, T., et al. (2012). Antiangiogenic metronomic therapy for children with recurrent embryonal brain tumors. Pediatr. Blood Cancer 59, 511–517. doi: 10.1002/pbc.24006

PubMed Abstract | CrossRef Full Text | Google Scholar

Polivka, J. Jr., and Janku, F. (2014). Molecular targets for cancer therapy in the PI3K/AKT/mTOR pathway. Pharmacol. Ther. 142, 164–175. doi: 10.1016/j.pharmthera.2013.12.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Porkholm, M., Valanne, L., Lonnqvist, T., Holm, S., Lannering, B., Riikonen, P., et al. (2014). Radiation therapy and concurrent topotecan followed by maintenance triple anti-angiogenic therapy with thalidomide, etoposide, and celecoxib for pediatric diffuse intrinsic pontine glioma. Pediatr. Blood Cancer 61, 1603–1609. doi: 10.1002/pbc.25045

PubMed Abstract | CrossRef Full Text | Google Scholar

Rajkumar, S. V., Blood, E., Vesole, D., Fonseca, R., Greipp, P. R., and Eastern Cooperative Oncology, G. (2006). Phase III clinical trial of thalidomide plus dexamethasone compared with dexamethasone alone in newly diagnosed multiple myeloma: a clinical trial coordinated by the Eastern cooperative oncology group. J. Clin. Oncol. 24, 431–436. doi: 10.1200/JCO.2005.03.0221

PubMed Abstract | CrossRef Full Text | Google Scholar

Rickert, C. H., Wiestler, O. D., and Paulus, W. (2002). Chromosomal imbalances in choroid plexus tumors. Am. J. Pathol. 160, 1105–1113. doi: 10.1016/S0002-9440(10)64931-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruland, V., Hartung, S., Kordes, U., Wolff, J. E., Paulus, W., and Hasselblatt, M. (2014). Choroid plexus carcinomas are characterized by complex chromosomal alterations related to patient age and prognosis. Genes Chromosomes Cancer 53, 373–380. doi: 10.1002/gcc.22148

PubMed Abstract | CrossRef Full Text | Google Scholar

Saenz Robles, M. T., Symonds, H., Chen, J., and Van Dyke, T. (1994). Induction versus progression of brain tumor development: differential functions for the pRB- and p53-targeting domains of simian virus 40 T antigen. Mol. Cell. Biol. 14, 2686–2698. doi: 10.1128/MCB.14.4.2686

PubMed Abstract | CrossRef Full Text | Google Scholar

Saulnier Sholler, G. L., Bond, J. P., Bergendahl, G., Dutta, A., Dragon, J., Neville, K., et al. (2015). Feasibility of implementing molecular-guided therapy for the treatment of patients with relapsed or refractory neuroblastoma. Cancer Med. 4, 871–886. doi: 10.1002/cam4.436

CrossRef Full Text | Google Scholar

Sevenet, N., Sheridan, E., Amram, D., Schneider, P., Handgretinger, R., and Delattre, O. (1999). Constitutional mutations of the hSNF5/INI1 gene predispose to a variety of cancers. Am. J. Hum. Genet. 65, 1342–1348. doi: 10.1086/302639

PubMed Abstract | CrossRef Full Text | Google Scholar

Sun, M. Z., Oh, M. C., Ivan, M. E., Kaur, G., Safaee, M., Kim, J. M., et al. (2014). Current management of choroid plexus carcinomas. Neurosurg. Rev. 37, 179–192; discussion 192. doi: 10.1007/s10143-013-0499-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Tabori, U., Shlien, A., Baskin, B., Levitt, S., Ray, P., Alon, N., et al. (2010). TP53 alterations determine clinical subgroups and survival of patients with choroid plexus tumors. J. Clin. Oncol. 28, 1995–2001. doi: 10.1200/JCO.2009.26.8169

PubMed Abstract | CrossRef Full Text | Google Scholar

Tinat, J., Bougeard, G., Baert-Desurmont, S., Vasseur, S., Martin, C., Bouvignies, E., et al. (2009). 2009 version of the Chompret criteria for Li Fraumeni syndrome. J. Clin. Oncol. 27, e108–e109; author reply e110. doi: 10.1200/JCO.2009.22.7967

PubMed Abstract | CrossRef Full Text | Google Scholar

Tong, Y., Merino, D., Nimmervoll, B., Gupta, K., Wang, Y. D., Finkelstein, D., et al. (2015). Cross-Species genomics identifies TAF12, NFYC, and RAD54L as choroid plexus Carcinoma oncogenes. Cancer Cell 27, 712–727. doi: 10.1016/j.ccell.2015.04.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Weissmueller, S., Manchado, E., Saborowski, M., Morris, J. P., Wagenblast, E., Davis, C. A., et al. (2014). Mutant p53 drives pancreatic cancer metastasis through cell-autonomous PDGF receptor beta signaling. Cell 157, 382–394. doi: 10.1016/j.cell.2014.01.066

PubMed Abstract | CrossRef Full Text | Google Scholar

Wrede, B., Liu, P., and Wolff, J. E. (2007). Chemotherapy improves the survival of patients with choroid plexus carcinoma: a meta-analysis of individual cases with choroid plexus tumors. J. Neurooncol. 85, 345–351. doi: 10.1007/s11060-007-9428-x

PubMed Abstract | CrossRef Full Text | Google Scholar

Yan, H., Parsons, D. W., Jin, G., McLendon, R., Rasheed, B. A., Yuan, W., et al. (2009). IDH1 and IDH2 mutations in gliomas. N. Engl. J. Med. 360, 765–773. doi: 10.1056/NEJMoa0808710

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, H., Ye, D., Guan, K. L., and Xiong, Y. (2012). IDH1 and IDH2 mutations in tumorigenesis: mechanistic insights and clinical perspectives. Clin. Cancer Res. 18, 5562–5571. doi: 10.1158/1078-0432.CCR-12-1773

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: choroid plexus carcinoma, molecular guided therapy, mTOR, TP53, IDH2

Citation: Cornelius A, Foley J, Bond J, Nagulapally AB, Steinbrecher J, Hendricks WPD, Rich M, Yendrembam S, Bergendahl G, Trent JM and Sholler GS (2017) Molecular Guided Therapy Provides Sustained Clinical Response in Refractory Choroid Plexus Carcinoma. Front. Pharmacol. 8:652. doi: 10.3389/fphar.2017.00652

Received: 16 June 2017; Accepted: 01 September 2017;
Published: 25 September 2017.

Edited by:

Nicolas Andre, AP HM, France

Reviewed by:

Min Hee Kang, Texas Tech University Health Sciences Center, United States
Dhiraj Kumar, University of Texas MD Anderson Cancer Center, United States

Copyright © 2017 Cornelius, Foley, Bond, Nagulapally, Steinbrecher, Hendricks, Rich, Yendrembam, Bergendahl, Trent and Sholler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Albert Cornelius, Albert.Cornelius@helendevoschildrens.org;
Giselle S. Sholler, Giselle.SaulnierSholler@helendevoschildrens.org