1
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Ricarte-Filho JC, Reichenberger ER, Hinkle K, Isaza A, Bauer AJ, Franco A. TG-IGF1R: A Novel Receptor Tyrosine Kinase Fusion Oncogene in Pediatric Thyroid Cancer. Thyroid 2024. [PMID: 39104254 DOI: 10.1089/thy.2024.0224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
BACKGROUND Receptor Tyrosine Kinase (RTK) fusions of RET, NTRK1/3, and ALK are enriched among pediatric thyroid cancer patients with metastatic and persistent disease and their oncoproteins represent attractive drug targets. METHODS We performed RNA-sequencing in a papillary thyroid cancer lacking other frequent driver alterations. RESULTS We report a novel RTK fusion, TG-IGF1R, in a 17-year-old female patient with angioinvasive follicular variant papillary thyroid cancer. The in-frame fusion protein preserves the cholinesterase-like domain of TG with dimerization properties and the transmembrane and kinase domain of IGF1R. The tumor sample shows increased IGF1R mRNA expression and tyrosine kinase phosphorylation, augmentation of MAPK transcriptional output genes and decreased NIS levels. CONCLUSIONS We reveal a novel targetable kinase fusion oncogene in thyroid cancer which is not incorporated in different thyroid-specific sequencing panels. The integration of IGF1R fusion screening in the next versions of thyroid-specific targeted NGS panels may be beneficial to thyroid cancer patients.
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Affiliation(s)
- Julio C Ricarte-Filho
- The Children's Hospital of Philadelphia Division of Endocrinology and Diabetes, Thyroid Center, 3615 Civic Center Blvd, ARC 803B, Philadelphia, Pennsylvania, United States, 19104;
| | - Erin R Reichenberger
- The Children's Hospital of Philadelphia, Department of Biomedical and Health Informatics, Philadelphia, Pennsylvania, United States;
| | - Kyle Hinkle
- The Children's Hospital of Philadelphia, Division of Endocrinology and Diabetes, Philadelphia, Pennsylvania, United States;
| | - Amber Isaza
- The Children's Hospital of Philadelphia Division of Endocrinology and Diabetes, 3500 Civic Center Blvd, Floor 12, Philadelphia, Pennsylvania, United States, 19140;
| | - Andrew J Bauer
- Children's Hospital of Philadelphia, 3500 Civic Center Blvd, Buerger Center 12-149, Philadelphia, Pennsylvania, United States, 19104-4399;
| | - Aime Franco
- The Children's Hospital of Philadelphia Division of Endocrinology and Diabetes, 3615 Civic Center Boulevard, Philadelphia, Pennsylvania, United States, 19104;
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2
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Luo M, Wong D, Zelley K, Wu J, Schubert J, Denenberg EH, Fanning EA, Chen J, Gallo D, Golenberg N, Patel M, Conlin LK, Maxwell KN, Wertheim GB, Surrey LF, Zhong Y, Brodeur GM, MacFarland SP, Li MM. Identification of TP53 germline variants in pediatric patients undergoing tumor testing: strategy and prevalence. J Natl Cancer Inst 2024; 116:1356-1365. [PMID: 38702830 DOI: 10.1093/jnci/djae102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 04/08/2024] [Accepted: 04/30/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND TP53 alterations are common in certain pediatric cancers, making identification of putative germline variants through tumor genomic profiling crucial for disease management. METHODS We analyzed TP53 alterations in 3123 tumors from 2788 pediatric patients sequenced using tumor-only or tumor-normal paired panels. Germline confirmatory testing was performed when indicated. Somatic and germline variants were classified based on published guidelines. RESULTS In 248 tumors from 222 patients, 284 tier 1/2 TP53 sequence and small copy number variants were detected. Following germline classification, 86.6% of 142 unique variants were pathogenic or likely pathogenic. Confirmatory testing on 118 patients revealed germline TP53 variants in 28 of them (23 pathogenic or likely pathogenic and 5 of uncertain significance), suggesting a minimum Li-Fraumeni syndrome incidence of 0.8% (23/2788) in this cohort, 10.4% (23/222) in patients with TP53 variant-carrying tumors, and 19.5% (23/118) with available normal samples. About 25% (7/28) of patients with germline TP53 variants did not meet Li-Fraumeni syndrome diagnostic or testing criteria, while 20.9% (28/134) with confirmed or inferred somatic origins did. TP53 biallelic inactivation occurred in 75% of germline carrier tumors and was also prevalent in other groups, causing an elevated tumor-observed variant allelic fraction. Somatic evidence, however, including low variant allele fraction correctly identified only 27.8% (25/90) of patients with confirmed somatic TP53 variants. CONCLUSION The high incidence and variable phenotype of Li-Fraumeni syndrome in this cohort highlights the importance of assessing germline status of TP53 variants identified in all pediatric tumors. Without clear somatic evidence, distinguishing somatic from germline origins is challenging. Classifying germline and somatic variants should follow appropriate guidelines.
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Affiliation(s)
- Minjie Luo
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Derek Wong
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kristin Zelley
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jinhua Wu
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jeffery Schubert
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elizabeth H Denenberg
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Elizabeth A Fanning
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jiani Chen
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Daniel Gallo
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Netta Golenberg
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Maha Patel
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Laura K Conlin
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kara N Maxwell
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Gerald B Wertheim
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lea F Surrey
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yiming Zhong
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Garrett M Brodeur
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suzanne P MacFarland
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marilyn M Li
- Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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3
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Khincha PP, Savage SA. When the somatic genome informs the germline: the example of TP53. J Natl Cancer Inst 2024; 116:1190-1192. [PMID: 38908000 PMCID: PMC11308161 DOI: 10.1093/jnci/djae126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 06/03/2024] [Indexed: 06/24/2024] Open
Affiliation(s)
- Payal P Khincha
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Sharon A Savage
- Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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4
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Baran JA, Bojarsky M, Halada S, Ricarte-Filho JC, Isaza A, Franco AT, Surrey LF, Bhatti T, Baloch Z, Adzick NS, Mostoufi-Moab S, Kazahaya K, Bauer AJ. Low-invasive somatic oncogenes and lymph node metastasis in pediatric papillary thyroid cancer: implications for prophylactic central neck dissection. Eur Thyroid J 2024; 13:e230265. [PMID: 38984999 PMCID: PMC11301529 DOI: 10.1530/etj-23-0265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 07/09/2024] [Indexed: 07/11/2024] Open
Abstract
Objective The American Thyroid Association (ATA) Pediatric Guidelines recommend selective, prophylactic central neck dissection (pCND) for patients with papillary thyroid carcinoma (PTC) based on tumor focality, tumor size, and the surgeon's experience. With the expansion of pre-surgical somatic oncogene testing and continued controversy over the benefits of pCND, oncogenic alteration data may provide an opportunity to stratify pCND. This study compared lymph node (LN) involvement in pediatric patients with PTC between tumors with low- and high-invasive-associated alterations to explore the potential utility of preoperative oncogenic alterations in the stratification of pCND. Methods This is retrospective cohort study of pediatric patients who underwent somatic oncogene testing post thyroidectomy for PTC between July 2003 and July 2022. Results Of 192 eligible PTC patients with postoperative somatic oncogene data, 19 tumors harbored somatic alterations associated with low-invasive disease (19/192, 10%), and 128 tumors harbored a BRAFV600E alteration (45/192, 23%) or an oncogenic fusion (83/192, 43%). Tumors with low-invasive alterations were less likely to present malignant preoperative cytology (2/18, 11%) than those with high-invasive alterations (97/124, 78%; P < 0.001). Twelve patients with low-invasive alterations had LNs dissected from the central neck (12/19, 63%) compared to 127 patients (127/128, 99%) with high-invasive alterations. LN metastasis was identified in two patients with low-invasive alterations (2/19, 11%) compared to 107 patients with high-invasive alterations (107/128, 84%; P < 0.001). Conclusion Pediatric patients with low-invasive somatic oncogenic alterations are at low risk for metastasis to central neck LNs. Our findings suggest that preoperative knowledge of somatic oncogene alterations provides objective data to stratify pediatric patients who may not benefit from pCND.
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Affiliation(s)
- Julia A Baran
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Mya Bojarsky
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Stephen Halada
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Julio C Ricarte-Filho
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Amber Isaza
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Aime T Franco
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lea F Surrey
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Tricia Bhatti
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Zubair Baloch
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - N Scott Adzick
- Department of Surgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Sogol Mostoufi-Moab
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Ken Kazahaya
- Division of Pediatric Otolaryngology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Otorhinolaryngology: Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Andrew J Bauer
- Division of Endocrinology and Diabetes, The Thyroid Center, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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5
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Newman H, MacFarland SP, Brodeur GM, Olson T, Bhojwani D, Stokke J, Kovach AE, Clark ME, Luo M, Li M, Shah A, Hunger SP. B-cell acute lymphoblastic leukemia and juvenile xanthogranuloma in a patient with ETV6 thrombocytopenia and leukemia predisposition syndrome: novel clinical presentation and perspective. Haematologica 2024; 109:1624-1627. [PMID: 38031764 PMCID: PMC11063871 DOI: 10.3324/haematol.2023.284151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 11/22/2023] [Indexed: 12/01/2023] Open
Abstract
Not available.
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Affiliation(s)
- Haley Newman
- Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA; Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA.
| | - Suzanne P MacFarland
- Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA; Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Garrett M Brodeur
- Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA; Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Timothy Olson
- Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA; Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Deepa Bhojwani
- Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, CA; Keck School of Medicine of University of Southern California, Los Angeles, CA
| | - Jamie Stokke
- Cancer and Blood Disease Institute, Children's Hospital Los Angeles, Los Angeles, CA; Keck School of Medicine of University of Southern California, Los Angeles, CA
| | - Alexandra E Kovach
- Keck School of Medicine of University of Southern California, Los Angeles, CA; Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Mary Egan Clark
- Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Minjie Luo
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Marilyn Li
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Amish Shah
- Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA; Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Stephen P Hunger
- Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA; Division of Oncology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA
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6
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Cheng YC, Houston R. The development of a next-generation sequencing panel targeting cannabinoid synthase genes to distinguish between marijuana and hemp. Electrophoresis 2024; 45:948-957. [PMID: 38326083 DOI: 10.1002/elps.202300233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 01/12/2024] [Accepted: 01/27/2024] [Indexed: 02/09/2024]
Abstract
Hemp and marijuana, both derived from Cannabis sativa L. (C. sativa), are subject to divergent legal regulations due to their different Δ9-tetrahydrocannabinol (Δ9-THC) contents. Cannabinoid synthase genes are considered the key enzymes that determine the chemical composition or chemotype of a particular cultivar. However, existing methods for crop type differentiation based on previous synthase gene theories have limitations in terms of precision and specificity, and a wider range of cannabis varieties must be considered when examining cannabis-based genetic markers. A custom next-generation sequencing (NGS) panel was developed targeting all synthase genes, including Δ9-THC acid synthase, cannabidiolic acid synthase, and cannabichromenic acid synthase, as well as the pseudogenes across diverse C. sativa samples, spanning reference hemp and marijuana, commercial hemp derivatives, and seized marijuana extracts. Interpretation of NGS data revealed a relationship between genotypes and underlying chemotypes, with the principal component analysis indicating a clear distinction between hemp and marijuana clusters. This differentiation was attributed to variations in both synthase genes and pseudogene variants. Finally, this study proposes a genetic cannabis classification method using a differentiation flow chart with novel synthase markers. The flow chart successfully differentiated hemp from marijuana with a 1.3% error rate (n = 147).
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Affiliation(s)
- Ya-Chih Cheng
- Department of Forensic Science, Sam Houston State University, Huntsville, Texas, USA
| | - Rachel Houston
- Department of Forensic Science, Sam Houston State University, Huntsville, Texas, USA
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7
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Hammad R, Nobre L, Ryall S, Arnoldo A, Siddaway R, Bennett J, Tabori U, Hawkins C. The Clinical Utility of a Tiered Approach to Pediatric Glioma Molecular Characterization for Resource-Limited Settings. JCO Glob Oncol 2024; 10:e2300269. [PMID: 38754050 DOI: 10.1200/go.23.00269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 02/09/2024] [Accepted: 02/23/2024] [Indexed: 05/18/2024] Open
Abstract
PURPOSE Molecular characterization is key to optimally diagnose and manage cancer. The complexity and cost of routine genomic analysis have unfortunately limited its use and denied many patients access to precision medicine. A possible solution is to rationalize use-creating a tiered approach to testing which uses inexpensive techniques for most patients and limits expensive testing to patients with the highest needs. Here, we tested the utility of this approach to molecularly characterize pediatric glioma in a cost- and time-sensitive manner. METHODS We used a tiered testing pipeline of immunohistochemistry (IHC), customized fusion panels or fluorescence in situ hybridization (FISH), and targeted RNA sequencing in pediatric gliomas. Two distinct diagnostic algorithms were used for low- and high-grade gliomas (LGGs and HGGs). The percentage of driver alterations identified, associated testing costs, and turnaround time (TAT) are reported. RESULTS The tiered approach successfully characterized 96% (95 of 99) of gliomas. For 82 LGGs, IHC, targeted fusion panel or FISH, and targeted RNA sequencing solved 35% (29 of 82), 29% (24 of 82), and 30% (25 of 82) of cases, respectively. A total of 64% (53 of 82) of samples were characterized without targeted RNA sequencing. Of 17 HGG samples, 13 were characterized by IHC and four were characterized by targeted RNA sequencing. The average cost per sample was more affordable when using the tiered approach as compared with up-front targeted RNA sequencing in LGG ($405 US dollars [USD] v $745 USD) and HGGs ($282 USD v $745 USD). The average TAT per sample was also shorter using the tiered approach (10 days for LGG, 5 days for HGG v 14 days for targeted RNA sequencing). CONCLUSION Our tiered approach molecularly characterized 96% of samples in a cost- and time-sensitive manner. Such an approach may be feasible in neuro-oncology centers worldwide, particularly in resource-limited settings.
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Affiliation(s)
- Rawan Hammad
- Haematology Department, Faculty of Medicine, King Abdulaziz University Hospital, King Abdulaziz University, Jeddah, Saudi Arabia
- Division of Pediatric Haematology Oncology, The Hospital for Sick Children, Toronto, Canada
| | - Liana Nobre
- Division of Pediatric Haematology Oncology, The Hospital for Sick Children, Toronto, Canada
- Division of Hematology, Oncology and Palliative Care, Department of Pediatrics, University of Alberta & Stollery Children's Hospital, Edmonton, Canada
| | - Scott Ryall
- Division of Pathology, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
- The Hospital for Sick Children, Arthur and Sonia Labatt Brain Tumour Research Centre, Toronto, Canada
| | - Anthony Arnoldo
- Division of Pathology, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
| | - Robert Siddaway
- Division of Pathology, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
- The Hospital for Sick Children, Arthur and Sonia Labatt Brain Tumour Research Centre, Toronto, Canada
| | - Julie Bennett
- Division of Pediatric Haematology Oncology, The Hospital for Sick Children, Toronto, Canada
- The Hospital for Sick Children, Arthur and Sonia Labatt Brain Tumour Research Centre, Toronto, Canada
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada
| | - Uri Tabori
- Division of Pediatric Haematology Oncology, The Hospital for Sick Children, Toronto, Canada
- The Hospital for Sick Children, Arthur and Sonia Labatt Brain Tumour Research Centre, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Cynthia Hawkins
- Division of Pathology, Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Canada
- The Hospital for Sick Children, Arthur and Sonia Labatt Brain Tumour Research Centre, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
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8
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Lin F, Cao K, Chang F, Oved JH, Luo M, Fan Z, Schubert J, Wu J, Zhong Y, Gallo DJ, Denenberg EH, Chen J, Fanning EA, Lambert MP, Paessler ME, Surrey LF, Zelley K, MacFarland S, Kurre P, Olson TS, Li MM. Uncovering the Genetic Etiology of Inherited Bone Marrow Failure Syndromes Using a Custom-Designed Next-Generation Sequencing Panel. J Mol Diagn 2024; 26:191-201. [PMID: 38103590 DOI: 10.1016/j.jmoldx.2023.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 09/13/2023] [Accepted: 11/20/2023] [Indexed: 12/19/2023] Open
Abstract
Inherited bone marrow failure syndromes (IBMFS) are a group of heterogeneous disorders that account for ∼30% of pediatric cases of bone marrow failure and are often associated with developmental abnormalities and cancer predisposition. This article reports the laboratory validation and clinical utility of a large-scale, custom-designed next-generation sequencing panel, Children's Hospital of Philadelphia (CHOP) IBMFS panel, for the diagnosis of IBMFS in a cohort of pediatric patients. This panel demonstrated excellent analytic accuracy, with 100% sensitivity, ≥99.99% specificity, and 100% reproducibility on validation samples. In 269 patients with suspected IBMFS, this next-generation sequencing panel was used for identifying single-nucleotide variants, small insertions/deletions, and copy number variations in mosaic or nonmosaic status. Sixty-one pathogenic/likely pathogenic variants (54 single-nucleotide variants/insertions/deletions and 7 copy number variations) and 24 hypomorphic variants were identified, resulting in the molecular diagnosis of IBMFS in 21 cases (7.8%) and exclusion of IBMFS with a diagnosis of a blood disorder in 10 cases (3.7%). Secondary findings, including evidence of early hematologic malignancies and other hereditary cancer-predisposition syndromes, were observed in 9 cases (3.3%). The CHOP IBMFS panel was highly sensitive and specific, with a significant increase in the diagnostic yield of IBMFS. These findings suggest that next-generation sequencing-based panel testing should be a part of routine diagnostics in patients with suspected IBMFS.
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Affiliation(s)
- Fumin Lin
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Kajia Cao
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Fengqi Chang
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Joseph H Oved
- Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Minjie Luo
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zhiqian Fan
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jeffrey Schubert
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jinhua Wu
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Yiming Zhong
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daniel J Gallo
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Elizabeth H Denenberg
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jiani Chen
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Elizabeth A Fanning
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Michele P Lambert
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Pediatric Comprehensive Bone Marrow Failure Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Michele E Paessler
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lea F Surrey
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kristin Zelley
- Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Suzanne MacFarland
- Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Peter Kurre
- Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Pediatric Comprehensive Bone Marrow Failure Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Timothy S Olson
- Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Pediatric Comprehensive Bone Marrow Failure Center, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
| | - Marilyn M Li
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
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9
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Bojarsky M, Baran JA, Halada S, Isaza A, Zhuang H, States L, Grant FD, Robbins S, Sisko L, Ricarte-Filho JC, Kazahaya K, Adzick NS, Mostoufi-Moab S, Bauer AJ. Outcomes of ATA Low-Risk Pediatric Thyroid Cancer Patients Not Treated With Radioactive Iodine Therapy. J Clin Endocrinol Metab 2023; 108:3338-3344. [PMID: 37265226 PMCID: PMC10655549 DOI: 10.1210/clinem/dgad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 05/01/2023] [Accepted: 05/30/2023] [Indexed: 06/03/2023]
Abstract
CONTEXT The American Thyroid Association (ATA) Pediatric Guidelines recommend patients not receive radioactive iodine therapy (RAIT) for differentiated thyroid cancer (DTC) confined to the thyroid. Since publication, there is ongoing concern whether withholding RAIT will result in a lower rate of remission. OBJECTIVE This study explores whether ATA low-risk patients treated with and without RAIT achieved similar remission rates. METHODS Medical records of patients <19 years old diagnosed with DTC and treated with total thyroidectomy between 2010 and 2020 were reviewed. Multivariate logistic regression was performed to evaluate factors influencing RAIT administration and remission rate. RESULTS Ninety-five patients with ATA low-risk DTC were analyzed: 53% (50/95) and 47% (45/95) were treated with and without RAIT, respectively. RAIT was used to treat 82% of patients before 2015 compared with 33% of patients after 2015 (P < .01). No significant difference in 1-year remission rate was found between patients treated with and without RAIT, 70% (35/50) vs 69% (31/45), respectively. With longer surveillance, remission rates increased to 82% and 76% for patients treated with and without RAIT, respectively. Median follow-up was 5.8 years (IQR 4.3-7.9, range 0.9-10.9) and 3.6 years (IQR 2.7-6.6; range 0.9-9.3) for both cohorts. No risk factors for persistent or indeterminate disease status were found, including RAIT administration, N1a disease, and surgery after 2015. CONCLUSION Withholding RAIT for pediatric patients with ATA low-risk DTC avoids exposure to radiation and does not have a negative impact on remission rates. Dynamic risk stratification at 1-year after initial treatment is a suitable time point to assess the impact of withholding RAIT for these patients.
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Affiliation(s)
- Mya Bojarsky
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Julia A Baran
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephen Halada
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Amber Isaza
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Hongming Zhuang
- Division of Nuclear Medicine, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Lisa States
- Division of Nuclear Medicine, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Section Oncologic Imaging, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Frederick D Grant
- Division of Nuclear Medicine, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Stephanie Robbins
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Lindsay Sisko
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Julio C Ricarte-Filho
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Ken Kazahaya
- Division of Pediatric Otolaryngology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Otorhinolaryngology: Head and Neck Surgery, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - N Scott Adzick
- Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Sogol Mostoufi-Moab
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Andrew J Bauer
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
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10
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Baran JA, Halada S, Bauer AJ, Li Y, Isaza A, Patel T, Sisko L, Ginsberg JP, Kazahaya K, Adzick NS, Mostoufi-Moab S. Thyroid Ultrasound Screening in Childhood Cancer Survivors following Radiotherapy. Horm Res Paediatr 2023; 97:243-253. [PMID: 37722360 PMCID: PMC11151990 DOI: 10.1159/000531241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 05/16/2023] [Indexed: 09/20/2023] Open
Abstract
INTRODUCTION Childhood cancer survivors (CCS) are at risk for radiotherapy (RT) late effects, including second malignancies. Optimal screening for differentiated thyroid cancer (DTC) in CCS post-RT remains controversial. We assessed the outcome of thyroid ultrasound (US) surveillance in CCS exposed to RT. METHODS 306 CCS were surveilled with thyroid US between 2002-2021. Surveillance was dependent on age at the time of primary diagnosis, interval from receipt of RT, and individual provider. Thyroid US, clinicopathologic features, and outcomes were described. Cutpoints of CCS RT age associated with varying risk of nodule presentation were explored. The selected cutpoints were used to define age categories, which were then used to compare thyroid nodule-related outcomes. Risk factors for thyroid nodule(s) were evaluated using multivariate logistic regression (odds ratio [OR] [95% confidence interval]). RESULTS The most common CCS diagnoses were leukemia (32%), CNS tumor (26%), and neuroblastoma (18%). Patients received TBI (45%) and/or RT to craniospinal (44%), chest (11%), and neck regions (6%). About 49% (n = 150) of patients had thyroid nodule(s). Forty-four patients underwent surgery, and 28 had DTC: 19 with American Thyroid Association (ATA) low-risk classification, 2 with ATA intermediate-risk, and 7 with ATA high-risk disease. Age cutpoint analyses identified cutpoints 3 and 10; hence, ≤3, >3 to ≤10, and >10 years were used. Of the 9 patients with intermediate- or high-risk disease, 8 were ≤10 years and 1 was >10 years at the time of RT. Female sex (OR = 1.62 [1.13-2.12] p = 0.054) and greater interval between RT and first US (OR = 1.10 [1.04-1.16] p = 0.001) were independent risk factors for nodule presentation. CONCLUSIONS Thyroid US surveillance may be beneficial for CCS exposed to RT at younger ages (≤10 years) for earlier detection of DTC, prior to developing advanced metastatic disease.
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Affiliation(s)
- Julia A Baran
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA,
| | - Stephen Halada
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Andrew J Bauer
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yimei Li
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Amber Isaza
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Tasleema Patel
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Lindsay Sisko
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Jill P Ginsberg
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Ken Kazahaya
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Pediatric Otolaryngology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Otorhinolaryngology: Head and Neck Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - N Scott Adzick
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Sogol Mostoufi-Moab
- Division of Endocrinology and Diabetes, The Thyroid Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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11
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Rulten SL, Grose RP, Gatz SA, Jones JL, Cameron AJM. The Future of Precision Oncology. Int J Mol Sci 2023; 24:12613. [PMID: 37628794 PMCID: PMC10454858 DOI: 10.3390/ijms241612613] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/03/2023] [Accepted: 08/05/2023] [Indexed: 08/27/2023] Open
Abstract
Our understanding of the molecular mechanisms underlying cancer development and evolution have evolved rapidly over recent years, and the variation from one patient to another is now widely recognized. Consequently, one-size-fits-all approaches to the treatment of cancer have been superseded by precision medicines that target specific disease characteristics, promising maximum clinical efficacy, minimal safety concerns, and reduced economic burden. While precision oncology has been very successful in the treatment of some tumors with specific characteristics, a large number of patients do not yet have access to precision medicines for their disease. The success of next-generation precision oncology depends on the discovery of new actionable disease characteristics, rapid, accurate, and comprehensive diagnosis of complex phenotypes within each patient, novel clinical trial designs with improved response rates, and worldwide access to novel targeted anticancer therapies for all patients. This review outlines some of the current technological trends, and highlights some of the complex multidisciplinary efforts that are underway to ensure that many more patients with cancer will be able to benefit from precision oncology in the near future.
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Affiliation(s)
| | - Richard P. Grose
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (R.P.G.); (J.L.J.)
| | - Susanne A. Gatz
- Cancer Research UK Clinical Trials Unit (CRCTU), Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK;
| | - J. Louise Jones
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (R.P.G.); (J.L.J.)
| | - Angus J. M. Cameron
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (R.P.G.); (J.L.J.)
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12
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Gubbiotti MA, Madsen PJ, Tucker AM, Abdullaev Z, Aldape K, Shekdar K, Yang A, Minturn JE, Santi M, Viaene AN. ZFTA-fused supratentorial ependymoma with a novel fusion partner, DUX4. J Neuropathol Exp Neurol 2023; 82:668-671. [PMID: 37218333 PMCID: PMC10501467 DOI: 10.1093/jnen/nlad038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023] Open
Affiliation(s)
- Maria A Gubbiotti
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Peter J Madsen
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Alexander M Tucker
- Department of Neurosurgery, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Zied Abdullaev
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kenneth Aldape
- Laboratory of Pathology and Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Karuna Shekdar
- Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Adeline Yang
- Department of Pediatrics, Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Jane E Minturn
- Department of Pediatrics, Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Angela N Viaene
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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13
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Gong J, Dong L, Wang C, Luo N, Han T, Li M, Sun T, Ding R, Han B, Li G. Molecular genomic landscape of pediatric solid tumors in Chinese patients: implications for clinical significance. J Cancer Res Clin Oncol 2023:10.1007/s00432-023-04756-5. [PMID: 37140698 DOI: 10.1007/s00432-023-04756-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 04/08/2023] [Indexed: 05/05/2023]
Abstract
PURPOSE Pediatric solid tumors are significantly different from adult tumors. Studies have revealed genomic aberrations in pediatric solid tumors, but these analyses were based on Western populations. Currently, it is not known to what extent the existing genomic findings represent differences in ethnic backgrounds. EXPERIMENTAL DESIGN: We retrospectively analyzed the basic clinical characteristics of the patients, including age, cancer type, and sex distribution, and further analyzed the somatic and germline mutations of cancer-related genes in a Chinese pediatric cohort. In addition, we investigated the clinical significance of genomic mutations on therapeutic, prognostic, diagnostic, and preventive actions. RESULTS Our study enrolled 318 pediatric patients, including 234 patients with CNS tumors and 84 patients with non-CNS tumors. Somatic mutation analysis showed that there were significant differences in mutation types between CNS tumors and non-CNS tumors. P/LP germline variants were identified in 8.49% of patients. In total, 42.8% patients prompted diagnostic, 37.7% patients prompted prognostic, 58.2% patients prompted therapeutic, and 8.5% patients prompted tumor-predisposing and preventive, and we found that genomic findings might improve clinical management. CONCLUSIONS Our study is the first large-scale study to analyze the landscape of genetic mutations in pediatric patients with solid tumors in China. Genomic findings in CNS and non-CNS solid pediatric tumors provide evidence for the clinical classification and individualized treatment of pediatric tumors, and they will facilitate improvement of clinical management. Data presented in this study should serve as a reference to guide the future design of clinical trials.
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Affiliation(s)
- Jie Gong
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Liujian Dong
- Department of Neurosurgery, Children's Hospital Affiliated to Zhengzhou University; Henan Children's Hospital; Zhengzhou Children's Hospital, Zhengzhou, 450000, Henan, China
| | - Chuanwei Wang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Ningning Luo
- The Medical Department, The State Key Lab of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, 210000, Jiangsu, China
| | - Tiantian Han
- The Medical Department, The State Key Lab of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, 210000, Jiangsu, China
| | - Mengmeng Li
- The Medical Department, The State Key Lab of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, 210000, Jiangsu, China
| | - Tingting Sun
- The Medical Department, The State Key Lab of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, 210000, Jiangsu, China
| | - Ran Ding
- The Medical Department, The State Key Lab of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing Simcere Medical Laboratory Science Co., Ltd, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, 210000, Jiangsu, China
| | - Bo Han
- The Key Laboratory of Experimental Teratology, Ministry of Education and Department of Pathology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Department of Pathology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
| | - Gang Li
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, 250012, Shandong, China.
- Shandong Key Laboratory of Brain Function Remodeling, Jinan, 250012, Shandong, China.
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14
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Brown LM, Ekert PG, Fleuren EDG. Biological and clinical implications of FGFR aberrations in paediatric and young adult cancers. Oncogene 2023:10.1038/s41388-023-02705-7. [PMID: 37130917 DOI: 10.1038/s41388-023-02705-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 04/16/2023] [Accepted: 04/20/2023] [Indexed: 05/04/2023]
Abstract
Rare but recurrent mutations in the fibroblast growth factor receptor (FGFR) pathways, most commonly in one of the four FGFR receptor tyrosine kinase genes, can potentially be targeted with broad-spectrum multi-kinase or FGFR selective inhibitors. The complete spectrum of these mutations in paediatric cancers is emerging as precision medicine programs perform comprehensive sequencing of individual tumours. Identification of patients most likely to benefit from FGFR inhibition currently rests on identifying activating FGFR mutations, gene fusions, or gene amplification events. However, the expanding use of transcriptome sequencing (RNAseq) has identified that many tumours overexpress FGFRs, in the absence of any genomic aberration. The challenge now presented is to determine when this indicates true FGFR oncogenic activity. Under-appreciated mechanisms of FGFR pathway activation, including alternate FGFR transcript expression and concomitant FGFR and FGF ligand expression, may mark those tumours where FGFR overexpression is indicative of a dependence on FGFR signalling. In this review, we provide a comprehensive and mechanistic overview of FGFR pathway aberrations and their functional consequences in paediatric cancer. We explore how FGFR over expression might be associated with true receptor activation. Further, we discuss the therapeutic implications of these aberrations in the paediatric setting and outline current and emerging therapeutic strategies to treat paediatric patients with FGFR-driven cancers.
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Affiliation(s)
- Lauren M Brown
- Children's Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
- School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia
| | - Paul G Ekert
- Children's Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia.
- School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia.
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia.
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
| | - Emmy D G Fleuren
- Children's Cancer Institute, Lowy Cancer Research Centre, UNSW Sydney, Sydney, NSW, Australia
- School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia
- University of New South Wales Centre for Childhood Cancer Research, UNSW Sydney, Sydney, NSW, Australia
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15
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Alonso-Luna O, Mercado-Celis GE, Melendez-Zajgla J, Zapata-Tarres M, Mendoza-Caamal E. The genetic era of childhood cancer: Identification of high-risk patients and germline sequencing approaches. Ann Hum Genet 2023; 87:81-90. [PMID: 36896780 DOI: 10.1111/ahg.12502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/10/2023] [Accepted: 02/12/2023] [Indexed: 03/11/2023]
Abstract
Childhood cancer is a leading cause of death by disease in children ages 5-14, for which there are no preventive strategies. Due to early-age of diagnosis and short period of exposure to environmental factors, increasing evidence suggests childhood cancer could have strong association with germline alterations in predisposition cancer genes but, their frequency and distribution are largely unknown. Several efforts have been made to develop tools to identify children with increased risk of cancer who may benefit from genetic testing but their validation and application on a large scale is necessary. Research on genetic bases of childhood cancer is ongoing, in which several approaches for the identification of genetic variants related to cancer predisposition have been used. In this paper, we discuss the updated efforts, strategies, molecular mechanisms and clinical implications for germline predisposition gene alterations and the characterization of risk variants in childhood cancer.
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Affiliation(s)
- Oscar Alonso-Luna
- Programa de Maestría y Doctorado en Ciencias Médicas, Odontológicas y de la Salud, UNAM, Ciudad de México, CDMX, México
| | - Gabriela E Mercado-Celis
- Laboratorio de Genómica Clínica, División de Estudios de Posgrado e Investigación, Facultad de Odontologia, UNAM, Ciudad de México, CDMX, México
| | | | - Marta Zapata-Tarres
- Coordinación de Investigación, Fundación IMSS A.C., Juárez, Ciudad de México, CDMX, México
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16
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Gubbiotti MA, Santi M, Storm PB, Li M, Xu F, Abdullaev Z, Aldape K, Viaene AN. First-time identification of a KIF5B-NTRK2 fusion in extraventricular neurocytoma. J Neuropathol Exp Neurol 2023; 82:272-275. [PMID: 36655517 PMCID: PMC10167923 DOI: 10.1093/jnen/nlad002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Affiliation(s)
- Maria A Gubbiotti
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Philip B Storm
- Department of Neurosurgery, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
| | - Marilyn Li
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Feng Xu
- Division of Genomic Diagnostics, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Zied Abdullaev
- Laboratory of Pathology and Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Kenneth Aldape
- Laboratory of Pathology and Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
| | - Angela N Viaene
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania,USA
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17
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O’Donohue T, Sait SF, Bender JG. Progress in precision therapy in pediatric oncology. Curr Opin Pediatr 2023; 35:41-47. [PMID: 36377257 PMCID: PMC9812924 DOI: 10.1097/mop.0000000000001198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE OF REVIEW The fields of precision medicine and cancer genomics in pediatric oncology are rapidly evolving. Novel diagnostic tools are critical in refining cancer diagnoses, stratifying patient risk, and informing treatment decisions. This review is timely and relevant as it discusses advantages and drawbacks of common molecular profiling techniques and highlights novel platforms, which may address select limitations. We discuss recent publications demonstrating utility of large-scale molecular profiling and feasibility and logistics of matching targeted therapies to patients. RECENT FINDINGS We describe the increased accessibility of next-generation sequencing, complementary profiling methods, and strategies to guide treatment decisions. We describe curation and sharing of large genomic datasets and novel mechanisms to obtain matched targeted therapies. Importantly, we discuss relevant publications in distinct disease domains that support indications for evidence-based precision therapy. Lastly, we introduce the incremental analyses that can be obtained via whole-genome and transcriptome sequencing. SUMMARY Here we highlight high-yield clinical scenarios of precision medicine approaches and identify the ongoing challenges including universally defining clinical actionability, optimizing trial design to account for molecular heterogeneity while acknowledging limitations in patient accrual, expanding access to molecularly targeted therapies, and validating new tools and technology to aid in precision medicine therapeutic approaches.
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Affiliation(s)
- Tara O’Donohue
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sameer Farouk Sait
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Julia Glade Bender
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
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18
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Mehmood S, Aslam S, Dilshad E, Ismail H, Khan AN. Transforming Diagnosis and Therapeutics Using Cancer Genomics. Cancer Treat Res 2023; 185:15-47. [PMID: 37306902 DOI: 10.1007/978-3-031-27156-4_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In past quarter of the century, much has been understood about the genetic variation and abnormal genes that activate cancer in humans. All the cancers somehow possess alterations in the DNA sequence of cancer cell's genome. In present, we are heading toward the era where it is possible to obtain complete genome of the cancer cells for their better diagnosis, categorization and to explore treatment options.
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Affiliation(s)
- Sabba Mehmood
- Department of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan.
| | - Shaista Aslam
- Department of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan
| | - Erum Dilshad
- Department of Bioinformatics and Biosciences, Faculty of Health and Life Sciences, Capital University of Science and Technology (CUST) Islamabad, Islamabad, Pakistan
| | - Hammad Ismail
- Departments of Biochemistry and Biotechnology, University of Gujrat (UOG) Gujrat, Gujrat, Pakistan
| | - Amna Naheed Khan
- Department of Bioinformatics and Biosciences, Faculty of Health and Life Sciences, Capital University of Science and Technology (CUST) Islamabad, Islamabad, Pakistan
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19
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Bosse KR, Giudice AM, Lane MV, McIntyre B, Schürch PM, Pascual-Pasto G, Buongervino SN, Suresh S, Fitzsimmons A, Hyman A, Gemino-Borromeo M, Saggio J, Berko ER, Daniels AA, Stundon J, Friedrichsen M, Liu X, Margolis ML, Li MM, Tierno MB, Oxnard GR, Maris JM, Mossé YP. Serial Profiling of Circulating Tumor DNA Identifies Dynamic Evolution of Clinically Actionable Genomic Alterations in High-Risk Neuroblastoma. Cancer Discov 2022; 12:2800-2819. [PMID: 36108156 PMCID: PMC9722579 DOI: 10.1158/2159-8290.cd-22-0287] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 07/21/2022] [Accepted: 09/13/2022] [Indexed: 01/12/2023]
Abstract
Neuroblastoma evolution, heterogeneity, and resistance remain inadequately defined, suggesting a role for circulating tumor DNA (ctDNA) sequencing. To define the utility of ctDNA profiling in neuroblastoma, 167 blood samples from 48 high-risk patients were evaluated for ctDNA using comprehensive genomic profiling. At least one pathogenic genomic alteration was identified in 56% of samples and 73% of evaluable patients, including clinically actionable ALK and RAS-MAPK pathway variants. Fifteen patients received ALK inhibition (ALKi), and ctDNA data revealed dynamic genomic evolution under ALKi therapeutic pressure. Serial ctDNA profiling detected disease evolution in 15 of 16 patients with a recurrently identified variant-in some cases confirming disease progression prior to standard surveillance methods. Finally, ctDNA-defined ERRFI1 loss-of-function variants were validated in neuroblastoma cellular models, with the mutant proteins exhibiting loss of wild-type ERRFI1's tumor-suppressive functions. Taken together, ctDNA is prevalent in children with high-risk neuroblastoma and should be followed throughout neuroblastoma treatment. SIGNIFICANCE ctDNA is prevalent in children with neuroblastoma. Serial ctDNA profiling in patients with neuroblastoma improves the detection of potentially clinically actionable and functionally relevant variants in cancer driver genes and delineates dynamic tumor evolution and disease progression beyond that of standard tumor sequencing and clinical surveillance practices. See related commentary by Deubzer et al., p. 2727. This article is highlighted in the In This Issue feature, p. 2711.
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Affiliation(s)
- Kristopher R. Bosse
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania; Philadelphia, PA, 19104; USA
| | - Anna Maria Giudice
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Maria V. Lane
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Brendan McIntyre
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Patrick M. Schürch
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Guillem Pascual-Pasto
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Samantha N. Buongervino
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Sriyaa Suresh
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Alana Fitzsimmons
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Adam Hyman
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Maria Gemino-Borromeo
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Jennifer Saggio
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Esther R. Berko
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Alexander A. Daniels
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | - Jennifer Stundon
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | | | - Xin Liu
- Foundation Medicine, Inc. Cambridge, MA 02141; USA
| | | | - Marilyn M. Li
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania and the Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
| | | | | | - John M. Maris
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania; Philadelphia, PA, 19104; USA
| | - Yael P. Mossé
- Division of Oncology and Center for Childhood Cancer Research, Children’s Hospital of Philadelphia; Philadelphia, PA, 19104; USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania; Philadelphia, PA, 19104; USA
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20
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Nelson ND, Xu F, Chandrasekaran P, Litzky LA, Peranteau WH, Frank DB, Li M, Pogoriler J. Defining the spatial landscape of KRAS mutated congenital pulmonary airway malformations: a distinct entity with a spectrum of histopathologic features. Mod Pathol 2022; 35:1870-1881. [PMID: 35794233 PMCID: PMC10462420 DOI: 10.1038/s41379-022-01129-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/09/2022] [Accepted: 06/10/2022] [Indexed: 12/24/2022]
Abstract
The potential pathogenetic mechanisms underlying the varied morphology of congenital pulmonary airway malformations (CPAMs) have not been molecularly determined, but a subset have been shown to contain clusters of mucinous cells (MCC). These clusters are believed to serve as precursors for potential invasive mucinous adenocarcinoma, and they are associated with KRAS codon 12 mutations. To assess the universality of KRAS mutations in MCCs, we sequenced exon 2 of KRAS in 61 MCCs from 18 patients, and we found a KRAS codon 12 mutation in all 61 MCCs. Furthermore, all MCCs from a single patient always had the same KRAS mutation, and the same KRAS mutation was also found in non-mucinous lesional tissue. Next generation sequencing of seven MCCs showed no other mutations or copy number variations. Sequencing of 46 additional CPAMs with MCCs revealed KRAS mutations in non-mucinous lesional tissue in all cases. RNA in situ hybridization confirmed widespread distribution of cells with mutant KRAS RNA, even extending outside of the bronchiolar type epithelium. We identified 25 additional CPAMs with overall histologic architecture similar to CPAMs with KRAS mutations but without identifiable MCCs, and we found KRAS mutations in 17 (68%). The histologic features of these KRAS mutated CPAMs included type 1 and type 3 morphology, as well as lesions with an intermediate histologic appearance, and analysis revealed a strong correlation between the specific amino acid substitution and histomorphology. These findings, together with previously published model organism data, suggests that the formation of type 1 and 3 CPAMs is driven by mosaic KRAS mutations arising in the lung epithelium early in development and places them within the growing field of mosaic RASopathies. The presence of widespread epithelial mutation explains late metastatic disease in incompletely resected patients and reinforces the recommendation for complete resection of these lesions.
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Affiliation(s)
- Nya D Nelson
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Feng Xu
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Prashant Chandrasekaran
- Department of Pediatrics, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Leslie A Litzky
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - William H Peranteau
- Department of Surgery, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - David B Frank
- Department of Pediatrics, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Marilyn Li
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer Pogoriler
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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21
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González IA, Surrey LF, Russo P. Hepatocellular Adenoma in an Infant With Burn-McKeown Syndrome: Report of a Case. Pediatr Dev Pathol 2022; 25:668-671. [PMID: 36262073 DOI: 10.1177/10935266221109468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Hepatocellular adenomas (HCA) in infants are exceedingly rare with only 5 cases reported to the best of our knowledge, all of them preceding the classification of HCA. Here we present an autopsy case of a 9-month-old girl with Burn-McKeown syndrome with an incidental liver nodule in the right lobe measuring 1.5 cm in greatest dimension. The lesion was composed of an unencapsulated proliferation of hepatocytes with multiple unaccompanied arteries without well-formed portal tracts, and an intact reticulin framework without thickened hepatic plates, findings consistent with an HCA. Glutamine synthetase (GS), lipid fatty acid-binding protein (LFABP), c-reactive protein (CRP), serum amyloid-a (SAA), beta-catenin and CD34 immunostains were performed. GS was diffusely and strongly positive in the lesion, CD34 showed heterogenous staining of sinusoids within the lesion without a well-formed rim from the background liver and beta-catenin was negative for nuclear staining. CRP and SAA were considered negative, and LFABP was retained. Molecular testing showed no CTNNB1 variants and found two tier 3 variants involving CHEK2 and PTEN genes. These findings are consistent with an unclassified HCA (U-HCA) per the 2019 WHO Classification of Tumors, representing the youngest patient reported. This raises the possibility that some HCAs are congenital or develop very early in life, remaining undiagnosed until later in life.
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Affiliation(s)
- Iván A González
- Department of Pathology and Laboratory Medicine, 6567Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Lea F Surrey
- Department of Pathology and Laboratory Medicine, 6567Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Pierre Russo
- Department of Pathology and Laboratory Medicine, 6567Children's Hospital of Philadelphia, Philadelphia, PA, USA
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22
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How Genetics and Genomics Advances Are Rewriting Pediatric Cancer Research and Clinical Care. Medicina (B Aires) 2022; 58:medicina58101386. [PMID: 36295546 PMCID: PMC9610804 DOI: 10.3390/medicina58101386] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/28/2022] [Accepted: 09/28/2022] [Indexed: 11/17/2022] Open
Abstract
In the last two decades, thanks to the data that have been obtained from the Human Genome Project and the development of next-generation sequencing (NGS) technologies, research in oncology has produced extremely important results in understanding the genomic landscape of pediatric cancers, which are the main cause of death during childhood. NGS has provided significant advances in medicine by detecting germline and somatic driver variants that determine the development and progression of many types of cancers, allowing a distinction between hereditary and non-hereditary cancers, characterizing resistance mechanisms that are also related to alterations of the epigenetic apparatus, and quantifying the mutational burden of tumor cells. A combined approach of next-generation technologies allows us to investigate the numerous molecular features of the cancer cell and the effects of the environment on it, discovering and following the path of personalized therapy to defeat an "ancient" disease that has had victories and defeats. In this paper, we provide an overview of the results that have been obtained in the last decade from genomic studies that were carried out on pediatric cancer and their contribution to the more accurate and faster diagnosis in the stratification of patients and the development of new precision therapies.
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23
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Jain P, Iyer S, Straka J, Surrey LF, Pogoriler J, Han H, Smith T, Busch C, Fox E, Li M, Waanders AJ, Resnick A, Davare MA. Discovery and functional characterization of the oncogenicity and targetability of a novel NOTCH1-ROS1 gene fusion in pediatric angiosarcoma. Cold Spring Harb Mol Case Stud 2022; 8:mcs.a006222. [PMID: 36307212 PMCID: PMC9632357 DOI: 10.1101/mcs.a006222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/09/2022] [Indexed: 01/25/2023] Open
Abstract
Angiosarcomas are rare, malignant soft tissue tumors in children that arise in a wide range of anatomical locations and have limited targeted therapies available. Here, we report a rare case of a pediatric angiosarcoma (pAS) with Li-Fraumeni syndrome (LFS) expressing a novel NOTCH1-ROS1 gene fusion. Although both NOTCH1 and ROS1 are established proto-oncogenes, our study is the first to describe the mechanistic role of NOTCH1-ROS1 fusion arising via intrachromosomal rearrangement. NOTCH1-ROS1 displayed potent neoplastic transformation propensity in vitro, and harbors tumorigenic potential in vivo, where it induced oncogenic activation of the MAPK, PI3K/mTOR, and JAK-STAT signaling pathways in a murine allograft model. We found an unexpected contribution of the NOTCH1 extracellular region in mediating NOTCH1-ROS1 activation and oncogenic function, highlighting the contribution of both NOTCH1 and ROS1 fusion partners in driving tumorigenicity. Interestingly, neither membrane localization nor fusion protein dimerization were found to be essential for NOTCH1-ROS1 fusion oncogenicity. To target NOTCH1-ROS1-driven tumors, we tested both NOTCH1-directed inhibitors and ROS1-targeted tyrosine kinase inhibitors (TKI) in heterologous models (NIH3T3, Ba/F3). Although NOTCH1 inhibitors did not suppress NOTCH1-ROS1-driven oncogenic growth, we found that oral entrectinib treatment effectively suppressed the growth of NOTCH-ROS1-driven tumors. Taken together, we report the first known pAS case with a novel NOTCH1-ROS1 alteration along with a detailed report on the function and therapeutic targeting of NOTCH1-ROS1. Our study highlights the importance of genomic profiling of rare cancers such as pAS to reveal actionable drivers and improve patient outcomes.
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Affiliation(s)
- Payal Jain
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Sudarshan Iyer
- Department of Pediatrics, Oregon Health and Sciences University, Portland, Oregon 97239, USA
| | - Joshua Straka
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Lea F. Surrey
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Jennifer Pogoriler
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Harry Han
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Tiffany Smith
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Christine Busch
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Elizabeth Fox
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Marilyn Li
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Angela J. Waanders
- Department of Pediatrics, Feinberg School of Medicine Northwestern University, Chicago, Illinois 60611, USA;,Division of Hematology, Oncology, and Stem Cell Transplant, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, Illinois 60611, USA
| | - Adam Resnick
- Center for Data Driven Discovery in Biomedicine, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA;,Division of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA
| | - Monika A. Davare
- Department of Pediatrics, Oregon Health and Sciences University, Portland, Oregon 97239, USA
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24
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Mandrell BN, Johnson LM, Caples M, Gattuso J, Maciaszek JL, Mostafavi R, Sharp KMH, Nichols KE. Parental Preferences Surrounding Timing and Content of Consent Conversations for Clinical Germline Genetic Testing Following a Child's New Cancer Diagnosis. JCO Precis Oncol 2022; 6:e2200323. [PMID: 36265116 PMCID: PMC9848596 DOI: 10.1200/po.22.00323] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/10/2022] [Accepted: 08/30/2022] [Indexed: 01/21/2023] Open
Abstract
PURPOSE Clinical genomic testing is increasingly being used to direct pediatric cancer care. Many centers are interested in offering testing of tumors and paired germline tissues at or near the time of cancer diagnosis. We conducted this study to better understand parent preferences surrounding timing and content of consent conversations for clinical germline genetic testing of their children with cancer as a part of real-time cancer care. PATIENTS AND METHODS A seven-question survey developed by the Division of Cancer Predisposition and collaborators at St Jude Children's Research Hospital (St Jude) was distributed to members of the St Jude Patient Family Advisory Council, which included parents of childhood cancer survivors and bereaved parents whose children with cancer had died. Parents were asked to provide free text comments after each question. Qualitative methods were used to derive codes from parent comments, and survey results were depicted using descriptive statistics. RESULTS The survey was completed by 172 parents. Ninety-three (54%) endorsed an approach for consent conversations ≥ 1 month after cancer diagnosis, whereas 58 (34%) endorsed an approach at 1-2 weeks and 21 (12%) at 1-2 days. Needing time to adjust to a new or relapsed cancer diagnosis and feeling overwhelmed were frequent themes; however, parents acknowledged the urgency and importance of testing. Parents desired testing of as many cancer-related genes as possible, with clinical utility the most important factor for proceeding with testing. Most parents (75%) desired germline results to be disclosed in person, preferably by a genetic counselor. CONCLUSION Parents described urgency and benefits associated with germline testing, but desired flexibility in timing to allow for initial adjustment after their child's cancer diagnosis.
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Affiliation(s)
- Belinda N. Mandrell
- Division of Nursing Research, Department of Pediatrics, St Jude Children's Research Hospital, Memphis, TN
| | - Liza Marie Johnson
- Department of Oncology, St Jude Children's Research Hospital, Memphis, TN
| | - Mary Caples
- Division of Nursing Research, Department of Pediatrics, St Jude Children's Research Hospital, Memphis, TN
| | - Jami Gattuso
- Division of Nursing Research, Department of Pediatrics, St Jude Children's Research Hospital, Memphis, TN
| | - Jamie L. Maciaszek
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN
| | - Roya Mostafavi
- Division of Cancer Predisposition, Department of Oncology, St Jude Children's Research Hospital, Memphis, TN
| | | | - Kim E. Nichols
- Division of Cancer Predisposition, Department of Oncology, St Jude Children's Research Hospital, Memphis, TN
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25
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Typical Enhancers, Super-Enhancers, and Cancers. Cancers (Basel) 2022; 14:cancers14184375. [PMID: 36139535 PMCID: PMC9496678 DOI: 10.3390/cancers14184375] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 08/29/2022] [Accepted: 09/05/2022] [Indexed: 11/21/2022] Open
Abstract
Simple Summary The cancer genome has been exhaustively studied upon the advent of Next-Generation Sequencing technologies. Coding and non-coding sequences have been defined as hotspots of genomic variations that affect the naïve gene expression programs established in normal cells, thus working as endogenous drivers of carcinogenesis. In this review, we comprehensively summarize fundamental aspects of gene expression regulation, with emphasis on the impact of sequence and structural variations mapped across non-coding cis-acting elements of genes encoding for tumor-related transcription factors. Chromatin architecture, epigenome reprogramming, transcriptional enhancers and Super-enhancers, oncogene regulation, cutting-edge technologies, and pharmacological treatment are substantially highlighted. Abstract Non-coding segments of the human genome are enriched in cis-regulatory modules that constitute functional elements, such as transcriptional enhancers and Super-enhancers. A hallmark of cancer pathogenesis is the dramatic dysregulation of the “archetype” gene expression profiles of normal human cells. Genomic variations can promote such deficiencies when occurring across enhancers and Super-enhancers, since they affect their mechanistic principles, their functional capacity and specificity, and the epigenomic features of the chromatin microenvironment across which these regulatory elements reside. Here, we comprehensively describe: fundamental mechanisms of gene expression dysregulation in cancers that involve genomic abnormalities within enhancers’ and Super-enhancers’ (SEs) sequences, which alter the expression of oncogenic transcription factors (TFs); cutting-edge technologies applied for the analysis of variation-enriched hotspots of the cancer genome; and pharmacological approaches for the treatment of Super-enhancers’ aberrant function. Finally, we provide an intratumor meta-analysis, which highlights that genomic variations in transcription-factor-driven tumors are accompanied overexpression of genes, a portion of which encodes for additional cancer-related transcription factors.
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26
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Schubert J, Wu J, Li MM, Cao K. Best Practice for Clinical Somatic Variant Interpretation and Reporting. Clin Lab Med 2022; 42:423-434. [DOI: 10.1016/j.cll.2022.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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27
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Fisch AS, Church AJ. Special Considerations in the Molecular Diagnostics of Pediatric Neoplasms. Clin Lab Med 2022; 42:349-365. [DOI: 10.1016/j.cll.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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28
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Genetic Disorders with Predisposition to Paediatric Haematopoietic Malignancies—A Review. Cancers (Basel) 2022; 14:cancers14153569. [PMID: 35892827 PMCID: PMC9329786 DOI: 10.3390/cancers14153569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 06/26/2022] [Accepted: 07/11/2022] [Indexed: 02/04/2023] Open
Abstract
The view of paediatric cancer as a genetic disease arises as genetic research develops. Germline mutations in cancer predisposition genes have been identified in about 10% of children. Paediatric cancers are characterized by heterogeneity in the types of genetic alterations that drive tumourigenesis. Interactions between germline and somatic mutations are a key determinant of cancer development. In 40% of patients, the family history does not predict the presence of inherited cancer predisposition syndromes and many cases go undetected. Paediatricians should be aware of specific symptoms, which highlight the need of evaluation for cancer syndromes. The quickest possible identification of such syndromes is of key importance, due to the possibility of early detection of neoplasms, followed by presymptomatic genetic testing of relatives, implementation of appropriate clinical procedures (e.g., avoiding radiotherapy), prophylactic surgical resection of organs at risk, or searching for donors of hematopoietic stem cells. Targetable driver mutations and corresponding signalling pathways provide a novel precision medicine strategy.Therefore, there is a need for multi-disciplinary cooperation between a paediatrician, an oncologist, a geneticist, and a psychologist during the surveillance of families with an increased cancer risk. This review aimed to emphasize the role of cancer-predisposition gene diagnostics in the genetic surveillance and medical care in paediatric oncology.
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29
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Xu F, Viaene AN, Ruiz J, Schubert J, Wu J, Chen J, Cao K, Fu W, Bagatell R, Fan Z, Long A, Pagliaroli L, Zhong Y, Luo M, Kreiger PA, Surrey LF, Wertheim GB, Cole KA, Li MM, Santi M, Storm PB. Novel ATXN1/ATXN1L::NUTM2A fusions identified in aggressive infant sarcomas with gene expression and methylation patterns similar to CIC-rearranged sarcoma. Acta Neuropathol Commun 2022; 10:102. [PMID: 35836290 PMCID: PMC9281131 DOI: 10.1186/s40478-022-01401-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 06/22/2022] [Indexed: 11/10/2022] Open
Abstract
CIC-rearranged sarcomas are newly defined undifferentiated soft tissue tumors with CIC-associated fusions, and dismal prognosis. CIC fusions activate PEA3 family genes, ETV1/4/5, leading to tumorigenesis and progression. We report two high-grade CNS sarcomas of unclear histological diagnosis and one disseminated tumor of unknown origin with novel fusions and similar gene-expression/methylation patterns without CIC rearrangement. All three patients were infants with aggressive diseases, and two experienced rapid disease deterioration and death. Whole-transcriptome sequencing identified an ATXN1-NUTM2A fusion in the two CNS tumors and an ATXN1L-NUTM2A fusion in case 3. ETV1/4/5 and WT1 overexpression were observed in all three cases. Methylation analyses predicted CIC-rearranged sarcoma for all cases. Retrospective IHC staining on case 2 demonstrated ETV4 and WT1 overexpression. ATXN1 and ATXN1L interact with CIC forming a transcription repressor complex. We propose that ATXN1/ATXN1L-associated fusions disrupt their interaction with CIC and decrease the transcription repressor complex, leading to downstream PEA3 family gene overexpression. These three cases with novel ATXN1/ATXN1L-associated fusions and features of CIC-rearranged sarcomas may further expand the scope of "CIC-rearranged" sarcomas to include non-CIC rearrangements. Additional cases are needed to demonstrate if ATXN1/ATXN1L-NUTM2A fusions are associated with younger age and more aggressive diseases.
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Affiliation(s)
- Feng Xu
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Angela N Viaene
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jenny Ruiz
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jeffrey Schubert
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jinhua Wu
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jiani Chen
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kajia Cao
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Weixuan Fu
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Rochelle Bagatell
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhiqian Fan
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ariel Long
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Luca Pagliaroli
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yiming Zhong
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Minjie Luo
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Portia A Kreiger
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lea F Surrey
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gerald B Wertheim
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kristina A Cole
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marilyn M Li
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. .,Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA. .,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA. .,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Phillip B Storm
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA. .,Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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30
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Li Y, Xu S, Xu D, Pan T, Guo J, Gu S, Lin Q, Li X, Li K, Xiang W. Pediatric Pan-Central Nervous System Tumor Methylome Analyses Reveal Immune-Related LncRNAs. Front Immunol 2022; 13:853904. [PMID: 35603200 PMCID: PMC9114481 DOI: 10.3389/fimmu.2022.853904] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/11/2022] [Indexed: 01/10/2023] Open
Abstract
Pediatric central nervous system (CNS) tumors are the second most common cancer diagnosis among children. Long noncoding RNAs (lncRNAs) emerge as critical regulators of gene expression, and they play fundamental roles in immune regulation. However, knowledge on epigenetic changes in lncRNAs in diverse types of pediatric CNS tumors is lacking. Here, we integrated the DNA methylation profiles of 2,257 pediatric CNS tumors across 61 subtypes with lncRNA annotations and presented the epigenetically regulated landscape of lncRNAs. We revealed the prevalent lncRNA methylation heterogeneity across pediatric pan-CNS tumors. Based on lncRNA methylation profiles, we refined 14 lncRNA methylation clusters with distinct immune microenvironment patterns. Moreover, we found that lncRNA methylations were significantly correlated with immune cell infiltrations in diverse tumor subtypes. Immune-related lncRNAs were further identified by investigating their correlation with immune cell infiltrations and potentially regulated target genes. LncRNA with methylation perturbations potentially regulate the genes in immune-related pathways. We finally identified several candidate immune-related lncRNA biomarkers (i.e., SSTR5-AS1, CNTN4-AS1, and OSTM1-AS1) in pediatric cancer for further functional validation. In summary, our study represents a comprehensive repertoire of epigenetically regulated immune-related lncRNAs in pediatric pan-CNS tumors, and will facilitate the development of immunotherapeutic targets.
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Affiliation(s)
- Yongsheng Li
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Sicong Xu
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Dahua Xu
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Tao Pan
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Jing Guo
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Shuo Gu
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Qiuyu Lin
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Xia Li
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China.,College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Kongning Li
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
| | - Wei Xiang
- College of Biomedical Information and Engineering, NHC Key Laboratory of Control of Tropical Diseases, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, China
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31
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Zhou C, Sun Y, Gong Z, Li J, Zhao X, Yang Q, Yu H, Ye J, Liang J, Jiang L, Zhang D, Shen Z, Zheng S. FAT1 and MSH2 Are Predictive Prognostic Markers for Chinese Osteosarcoma Patients Following Chemotherapeutic Treatment. J Bone Miner Res 2022; 37:885-895. [PMID: 35279875 DOI: 10.1002/jbmr.4545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 02/24/2022] [Accepted: 03/09/2022] [Indexed: 11/10/2022]
Abstract
Osteosarcoma is characterized by diverse genetic mutations, including single-nucleotide variants (SNVs), which can complicate clinical outcomes of the treatment. This study identified key mutations or polymorphisms in genes that correlate with osteosarcoma prognoses. A total of 110 patients with osteosarcoma were assigned to "good" or "poor" cohorts depending on their 5-year disease-free survival (DFS) after surgery and chemotherapeutic treatment. We performed next-generation sequencing analysis of tumor tissues for prognosis-associated SNVs in 315 tumorigenesis-related genes, followed by modeling of clinical outcomes for these patients using random forest classification via a support vector machine (SVM). Data from the Chinese Millionome Database were used to compare SNV frequency in osteosarcoma patients and healthy people. SVM screening identified 17 nonsynonymous SNVs located in 15 genes, of which rs17224367 and rs3733406 (located in MSH2 and FAT1, respectively) were strongly correlated with osteosarcoma prognosis. These results were verified in a 26-patient validation cohort, confirming that these SNVs could be used to predict prognosis. These results demonstrated that two SNVs located in MSH2 and FAT1 are associated with prognosis of osteosarcoma patients. © 2022 American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
- Chenliang Zhou
- Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Yong Sun
- Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Ziying Gong
- Jiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd., Jiaxing, China.,Department of R&D, Zhejiang Yunying Medical Technology Co., Ltd., Jiaxing, China
| | - Jieyi Li
- Jiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd., Jiaxing, China.,Department of R&D, Zhejiang Yunying Medical Technology Co., Ltd., Jiaxing, China
| | - Xiaokai Zhao
- Jiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd., Jiaxing, China.,Department of R&D, Zhejiang Yunying Medical Technology Co., Ltd., Jiaxing, China
| | - Quanjun Yang
- Department of Pharmacy, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Hongjie Yu
- Jiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd., Jiaxing, China.,Department of R&D, Zhejiang Yunying Medical Technology Co., Ltd., Jiaxing, China
| | - Jianwei Ye
- Jiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd., Jiaxing, China.,Department of R&D, Zhejiang Yunying Medical Technology Co., Ltd., Jiaxing, China
| | - Jinrong Liang
- Medical School, Anhui University of Science and Technology, Huainan, China
| | - Linlan Jiang
- Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Daoyun Zhang
- Jiaxing Key Laboratory of Precision Medicine and Companion Diagnostics, Jiaxing Yunying Medical Inspection Co., Ltd., Jiaxing, China.,Department of R&D, Zhejiang Yunying Medical Technology Co., Ltd., Jiaxing, China
| | - Zan Shen
- Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Shuier Zheng
- Department of Oncology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
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32
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Current status of precision medicine in pediatric oncology in Spain: a consensus report by the Spanish Society of Paediatric Haematology and Oncology (SEHOP). Clin Transl Oncol 2022; 24:809-815. [PMID: 35152364 DOI: 10.1007/s12094-021-02759-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/11/2021] [Indexed: 10/19/2022]
Abstract
The study analyzes the current status of personalized medicine in pediatric oncology in Spain. It gathers national data on the tumor molecular studies and genomic sequencing carried out at diagnosis and at relapse, the centers that perform these studies, the technology used and the interpretation and clinical applicability of the results. Current challenges and future directions to achieve a coordinated national personalized medicine strategy in pediatric oncology are also discussed. Next generation sequencing-based (NGS) gene panels are the technology used in the majority of centers and financial limitations are the main reason for not incorporating these studies into routine care. Nowadays, the application of precision medicine in pediatric oncology is a reality in a great number of Spanish centers. However, its implementation is uneven and lacks standardization of protocols; therefore, national coordination to overcome the inequalities is required. Collaborative work within the Personalized Medicine Group of SEHOP is an adequate framework for encouraging a step forward in the effort to move precision medicine into the national healthcare system.
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Chandramohan R, Reuther J, Gandhi I, Voicu H, Alvarez KR, Plon SE, Lopez-Terrada DH, Fisher KE, Parsons DW, Roy A. A Validation Framework for Somatic Copy Number Detection in Targeted Sequencing Panels. J Mol Diagn 2022; 24:760-774. [PMID: 35487348 DOI: 10.1016/j.jmoldx.2022.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 02/04/2022] [Accepted: 03/24/2022] [Indexed: 11/16/2022] Open
Abstract
Somatic copy number alterations (SCNAs) in tumors are clinically significant diagnostic, prognostic, and predictive biomarkers. SCNA detection from targeted next-generation sequencing panels is increasingly common in clinical practice; however, detailed descriptions of optimization and validation of SCNA pipelines for small targeted panels are limited. This study describes the validation and implementation of a tumor-only SCNA pipeline using CNVkit, augmented with custom modules and optimized for clinical implementation by testing reference materials and clinical tumor samples with different classes of copy number variation (CNV; amplification, single copy loss, and biallelic loss). Using wet-bench and in silico methods, various parameters impacting CNV calling, including assay-intrinsic variables (establishment of normal reference and sequencing coverage), sample-intrinsic variables (tumor purity and sample quality), and CNV algorithm-intrinsic variables (bin size), were optimized. The pipeline was trained and tested on an optimization cohort and validated using an independent cohort with a sensitivity and specificity of 100% and 93%, respectively. Using custom modules, intragenic CNVs with breakpoints within tumor suppressor genes were uncovered. Using the validated pipeline, re-analysis of 28 pediatric solid tumors that had been previously profiled for mutations identified SCNAs in 86% (24/28) samples, with 46% (13/28) samples harboring findings of potential clinical relevance. Our report highlights the importance of rigorous establishment of performance characteristics of SCNA pipelines and presents a detailed validation framework for optimal SCNA detection in targeted sequencing panels.
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Affiliation(s)
- Raghu Chandramohan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas
| | - Jacquelyn Reuther
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Texas Children's Hospital, Houston, Texas
| | - Ilavarasi Gandhi
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Texas Children's Hospital, Houston, Texas
| | - Horatiu Voicu
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Texas Children's Hospital, Houston, Texas
| | - Karla R Alvarez
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Texas Children's Hospital, Houston, Texas
| | - Sharon E Plon
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas; Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas; The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas; The Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | - Dolores H Lopez-Terrada
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Texas Children's Hospital, Houston, Texas; Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas; The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Kevin E Fisher
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Texas Children's Hospital, Houston, Texas; The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas
| | - D Williams Parsons
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas; Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas; The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas; The Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
| | - Angshumoy Roy
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas; Department of Pathology, Texas Children's Hospital, Houston, Texas; Texas Children's Cancer Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas; The Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, Texas.
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34
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Vicente-Garcés C, Esperanza-Cebollada E, Montesdeoca S, Torrebadell M, Rives S, Dapena JL, Català A, Conde N, Camós M, Vega-García N. Technical Validation and Clinical Utility of an NGS Targeted Panel to Improve Molecular Characterization of Pediatric Acute Leukemia. Front Mol Biosci 2022; 9:854098. [PMID: 35463953 PMCID: PMC9021638 DOI: 10.3389/fmolb.2022.854098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/18/2022] [Indexed: 12/03/2022] Open
Abstract
Development of next-generation sequencing (NGS) has provided useful genetic information to redefine diagnostic, prognostic, and therapeutic strategies for the management of acute leukemia (AL). However, the application in the clinical setting is still challenging. Our aim was to validate the AmpliSeq™ for Illumina® Childhood Cancer Panel, a pediatric pan-cancer targeted NGS panel that includes the most common genes associated with childhood cancer, and assess its utility in the daily routine of AL diagnostics. In terms of sequencing metrics, the assay reached all the expected values. We obtained a mean read depth greater than 1000×. The panel demonstrated a high sensitivity for DNA (98.5% for variants with 5% variant allele frequency (VAF)) and RNA (94.4%), 100% of specificity and reproducibility for DNA and 89% of reproducibility for RNA. Regarding clinical utility, 49% of mutations and 97% of the fusions identified were demonstrated to have clinical impact. Forty-one percent of mutations refined diagnosis, while 49% of them were considered targetable. Regarding RNA, fusion genes were more clinically impactful in terms of refining diagnostic (97%). Overall, the panel found clinically relevant results in the 43% of patients tested in this cohort. To sum up, we validated a reliable and reproducible method to refine pediatric AL diagnosis, prognosis, and treatment, and demonstrated the feasibility of incorporating a targeted NGS panel into pediatric hematology practice.
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Affiliation(s)
- Clara Vicente-Garcés
- Hematology Laboratory, Hospital Sant Joan de Déu Barcelona, Esplugues de Llobregat, Barcelona, Spain
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Elena Esperanza-Cebollada
- Hematology Laboratory, Hospital Sant Joan de Déu Barcelona, Esplugues de Llobregat, Barcelona, Spain
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Sara Montesdeoca
- Hematology Laboratory, Hospital Sant Joan de Déu Barcelona, Esplugues de Llobregat, Barcelona, Spain
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
| | - Montserrat Torrebadell
- Hematology Laboratory, Hospital Sant Joan de Déu Barcelona, Esplugues de Llobregat, Barcelona, Spain
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Susana Rives
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Pediatric Hematology and Oncology Department, Hospital Sant Joan de Déu Barcelona, University of Barcelona, Barcelona, Spain
| | - José Luis Dapena
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Pediatric Hematology and Oncology Department, Hospital Sant Joan de Déu Barcelona, University of Barcelona, Barcelona, Spain
| | - Albert Català
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
- Pediatric Hematology and Oncology Department, Hospital Sant Joan de Déu Barcelona, University of Barcelona, Barcelona, Spain
| | - Nuria Conde
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Pediatric Hematology and Oncology Department, Hospital Sant Joan de Déu Barcelona, University of Barcelona, Barcelona, Spain
| | - Mireia Camós
- Hematology Laboratory, Hospital Sant Joan de Déu Barcelona, Esplugues de Llobregat, Barcelona, Spain
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, Madrid, Spain
| | - Nerea Vega-García
- Hematology Laboratory, Hospital Sant Joan de Déu Barcelona, Esplugues de Llobregat, Barcelona, Spain
- Leukemia and Other Pediatric Hemopathies, Developmental Tumors Biology Group, Institut de Recerca Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- *Correspondence: Nerea Vega-García,
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35
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Franco AT, Ricarte-Filho JC, Isaza A, Jones Z, Jain N, Mostoufi-Moab S, Surrey L, Laetsch TW, Li MM, DeHart JC, Reichenberger E, Taylor D, Kazahaya K, Adzick NS, Bauer AJ. Fusion Oncogenes Are Associated With Increased Metastatic Capacity and Persistent Disease in Pediatric Thyroid Cancers. J Clin Oncol 2022; 40:1081-1090. [PMID: 35015563 PMCID: PMC8966969 DOI: 10.1200/jco.21.01861] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 10/07/2021] [Accepted: 12/09/2021] [Indexed: 12/15/2022] Open
Abstract
PURPOSE In 2014, data from a comprehensive multiplatform analysis of 496 adult papillary thyroid cancer samples reported by The Cancer Genome Atlas project suggested that reclassification of thyroid cancer into molecular subtypes, RAS-like and BRAF-like, better reflects clinical behavior than sole reliance on pathologic classification. The aim of this study was to categorize the common oncogenic variants in pediatric differentiated thyroid cancer (DTC) and investigate whether mutation subtype classification correlated with the risk of metastasis and response to initial therapy in pediatric DTC. METHODS Somatic cancer gene panel analysis was completed on DTC from 131 pediatric patients. DTC were categorized into RAS-mutant (H-K-NRAS), BRAF-mutant (BRAF p.V600E), and RET/NTRK fusion (RET, NTRK1, and NTRK3 fusions) to determine differences between subtype classification in regard to pathologic data (American Joint Committee on Cancer TNM) as well as response to therapy 1 year after initial treatment had been completed. RESULTS Mutation-based subtype categories were significant in most variables, including age at diagnosis, metastatic behavior, and the likelihood of remission at 1 year. Patients with RET/NTRK fusions were significantly more likely to have advanced lymph node and distant metastasis and less likely to achieve remission at 1 year than patients within RAS- or BRAF-mut subgroups. CONCLUSION Our data support that genetic subtyping of pediatric DTC more accurately reflects clinical behavior than sole reliance on pathologic classification with patients with RET/NTRK fusions having worse outcomes than those with BRAF-mutant disease. Future trials should consider inclusion of molecular subtype into risk stratification.
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Affiliation(s)
- Aime T Franco
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Julio C Ricarte-Filho
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Amber Isaza
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Zachary Jones
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
- Deceased
| | - Neil Jain
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Sogol Mostoufi-Moab
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Lea Surrey
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Theodore W Laetsch
- Division of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Marilyn M Li
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA
| | | | - Erin Reichenberger
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Deanne Taylor
- Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Ken Kazahaya
- Division of Pediatric Otolaryngology, Children's Hospital of Philadelphia, Philadelphia, PA
- Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, PA
| | - N Scott Adzick
- Department of Surgery, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Andrew J Bauer
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
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36
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Chen A, Xiong L, Qu Y, Xi S, Tao R, Li C, Zhang S. Opportunity of Next-Generation Sequencing-Based Short Tandem Repeat System for Tumor Source Identification. Front Oncol 2022; 12:800028. [PMID: 35223480 PMCID: PMC8873583 DOI: 10.3389/fonc.2022.800028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/21/2022] [Indexed: 11/29/2022] Open
Abstract
Personal identification using the tumor DNA not only plays an important role in postoperative tissue management but also might be the only accessible source of biological material in forensic identification. Short tandem repeat (STR) is the worldwide accepted forensic marker; however, widespread loss of heterozygosity (L) in tumor tissues challenges the personal identification using the conventional capillary electrophoresis (CE)-based STR typing system (CE-STR). Because the tumors are mixtures of tumor cells and basal cells, we inferred that every germline-originated allele should be detected if the detection method was sensitive enough. Next-generation sequencing (NGS) is known as a highly sensitive application, which might be a promising tool for tumor source identification. In the study, we genotyped and compared the STR results between the platforms, and we found that the concordance was only 91.43%. Higher sensitivity did help identify more germline-originated alleles as expected, and 93.89% of them could be captured by using an NGS-based STR system (NGS-STR). The identity-by-state (IBS) scoring system was applied to generate a new tumor source identification method based on NGS-STR, and the number of loci with 2 identical alleles (A2) proved to be an ideal criterion for the larger area under the receiver operating characteristic (ROC) curve (AUC). Both the sensitivity and specificity were above 98% in the cutoff of A2 to distinguish the paired carcinoma (PC) sample group from the unrelated individual (UI) group, the simulated full sibling (FS) group, and the simulated parent–offspring (PO) group.
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Affiliation(s)
- Anqi Chen
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
- Department of Forensic Medicine, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei Xiong
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Yiling Qu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Shihan Xi
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Ruiyang Tao
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
| | - Chengtao Li
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
- Department of Forensic Medicine, School of Basic Medical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
- *Correspondence: Chengtao Li, ; Suhua Zhang,
| | - Suhua Zhang
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai, China
- *Correspondence: Chengtao Li, ; Suhua Zhang,
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37
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Fan L, Yin P, Xu Z. The genetic basis of sudden death in young people - Cardiac and non-cardiac. Gene 2022; 810:146067. [PMID: 34843881 DOI: 10.1016/j.gene.2021.146067] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Revised: 10/25/2021] [Accepted: 11/16/2021] [Indexed: 11/04/2022]
Abstract
Sudden death is one of the major causes of death in young adults. Sudden death could be a result from both genetic and environmental or acquired factors. Understanding the genetic etiology is crucial to prevent preventable sudden death for those who are not aware of their genetic condition. In fact, the spectrum of causes of sudden death is complex and varied. In this study, we reviewed the genes that are associated with multiple causes of sudden death in terms of both sudden cardiac death and sudden noncardiac death. A summary of genetic risk factors of the major causes of genetic relevant sudden death is also provided. We believe this review could benefit the researchers who are interested in sudden death genetic studies or the young people who are concerning about their own risk on sudden death.
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Affiliation(s)
- Li Fan
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
| | - Ping Yin
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China
| | - Zuojun Xu
- Department of Cardiology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200011, China.
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38
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Lang SS, Kumar NK, Madsen P, Gajjar AA, Gajjar E, Resnick AC, Storm PB. Neurotrophic Tyrosine Receptor Kinase Fusion in Pediatric Central Nervous System Tumors. Cancer Genet 2022; 262-263:64-70. [DOI: 10.1016/j.cancergen.2022.01.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/29/2021] [Accepted: 01/18/2022] [Indexed: 12/16/2022]
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Kotch C, Fisher MJ, Lin F, Zhong Y, Gallo D, Fan Z, Chen J, Santi M, Li MM. Atypical teratoid rhabdoid tumor in a child with neurofibromatosis type 2: A novel dual diagnosis. Cancer Genet 2021; 262-263:1-4. [PMID: 34972035 DOI: 10.1016/j.cancergen.2021.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 09/24/2021] [Accepted: 12/20/2021] [Indexed: 11/28/2022]
Abstract
Neurofibromatosis type 2 (NF2) is a genetic disorder characterized by the development of tumors of the nervous system and is associated with NF2 gene alterations. Atypical teratoid rhabdoid tumor (ATRT) is a malignant central nervous system tumor that occurs primarily in children less than 3 years of age. The majority of cases of ATRT demonstrate genomic alterations of SMARCB1, a core member of the SWI/SNF chromatin-remodeling complex and tumor suppressor gene. SMARCB1 inactivation in ATRT is occasionally associated with somatic NF2 deletion; however, concurrent germline NF2 mutations have not been reported. Herein, we describe the case of a 3-year-old patient who presented with an intracranial mass. Next generation sequencing analysis of tumor identified homozygous deletions of the entire SMARCB1 gene and exon 7 to exon 14 of NF2 gene with whole chromosome 22 loss of heterozygosity (LOH). Multiplex Ligation-dependent Probe Amplification (MLPA) assay performed on blood identified a germline heterozygous intragenic deletion of NF2 exon 7 to exon 14; a somatic chromosome 22 LOH led to the homozygous deletion. SMARCB1 MLPA assay of blood showed no deletion. This cascade represents a novel, "four-hit" mechanism of SMARCB1 inactivation resulting in ATRT and the first known dual diagnosis of NF2 and ATRT.
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Affiliation(s)
- Chelsea Kotch
- Department of Pediatrics, Division of Oncology, Children's Hospital of Philadelphia, 3615 Civic Center Blvd, Philadelphia, PA 19104, United States; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
| | - Michael J Fisher
- Department of Pediatrics, Division of Oncology, Children's Hospital of Philadelphia, 3615 Civic Center Blvd, Philadelphia, PA 19104, United States; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Fumin Lin
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Yiming Zhong
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Dan Gallo
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Zhiqian Fan
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Jiani Chen
- Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - Mariarita Santi
- Division of Anatomic Pathology, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Marilyn M Li
- Department of Pediatrics, Division of Oncology, Children's Hospital of Philadelphia, 3615 Civic Center Blvd, Philadelphia, PA 19104, United States; Department of Pathology and Laboratory Medicine, Division of Genomic Diagnostics, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
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40
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Tran TH, Tasian SK. Has Ph-like ALL Superseded Ph+ ALL as the Least Favorable Subtype? Best Pract Res Clin Haematol 2021; 34:101331. [PMID: 34865703 DOI: 10.1016/j.beha.2021.101331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Philadelphia chromosome-like acute lymphoblastic leukemia (Ph-like ALL) is a subset of high-risk B-ALL associated with high relapse risk and inferior clinical outcomes across the pediatric-to-adult age spectrum. Ph-like ALL is characterized by frequent IKZF1 alterations and a kinase-activated gene expression profile similar to that of Philadelphia chromosome-positive (Ph+) ALL, yet lacks the canonical BCR-ABL1 rearrangement. Advances in high-throughput sequencing technologies during the past decade have unraveled the genomic landscape of Ph-like ALL, revealing a diverse array of kinase-activating translocations and mutations that may be amenable to targeted therapies that have set a remarkable precision medicine paradigm for patients with Ph + ALL. Collaborative scientific efforts to identify and characterise Ph-like ALL during the past decade has directly informed current precision medicine trials investigating the therapeutic potential of tyrosine kinase inhibitor-based therapies for children, adolescents, and adults with Ph-like ALL, although the most optimal treatment paradigm for this high-risk group of patients has yet to be established. Herein, we describe the epidemiology, clinical features, and biology of Ph-like ALL, highlight challenges in implementing pragmatic and cost-effective diagnostic algorithms in the clinic, and describe the milieu of treatment strategies under active investigation that strive to decrease relapse risk and improve long-term survival for patients with Ph-like ALL as has been successfully achieved for those with Ph + ALL.
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Affiliation(s)
- Thai Hoa Tran
- Division of Pediatric Hematology-Oncology, Charles-Bruneau Cancer Center, CHU Sainte-Justine, Montreal, QC, Canada; Department of Pediatrics, University of Montreal, Montreal, QC, Canada
| | - Sarah K Tasian
- Division of Oncology and Center for Childhood Cancer Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Pediatrics and Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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41
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Chen Z, He X. Application of third-generation sequencing in cancer research. MEDICAL REVIEW (BERLIN, GERMANY) 2021; 1:150-171. [PMID: 37724303 PMCID: PMC10388785 DOI: 10.1515/mr-2021-0013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 08/09/2021] [Indexed: 09/20/2023]
Abstract
In the past several years, nanopore sequencing technology from Oxford Nanopore Technologies (ONT) and single-molecule real-time (SMRT) sequencing technology from Pacific BioSciences (PacBio) have become available to researchers and are currently being tested for cancer research. These methods offer many advantages over most widely used high-throughput short-read sequencing approaches and allow the comprehensive analysis of transcriptomes by identifying full-length splice isoforms and several other posttranscriptional events. In addition, these platforms enable structural variation characterization at a previously unparalleled resolution and direct detection of epigenetic marks in native DNA and RNA. Here, we present a comprehensive summary of important applications of these technologies in cancer research, including the identification of complex structure variants, alternatively spliced isoforms, fusion transcript events, and exogenous RNA. Furthermore, we discuss the impact of the newly developed nanopore direct RNA sequencing (RNA-Seq) approach in advancing epitranscriptome research in cancer. Although the unique challenges still present for these new single-molecule long-read methods, they will unravel many aspects of cancer genome complexity in unprecedented ways and present an encouraging outlook for continued application in an increasing number of different cancer research settings.
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Affiliation(s)
- Zhiao Chen
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xianghuo He
- Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China
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42
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Hirsch S, Dikow N, Pfister SM, Pajtler KW. Cancer predisposition in pediatric neuro-oncology-practical approaches and ethical considerations. Neurooncol Pract 2021; 8:526-538. [PMID: 34594567 DOI: 10.1093/nop/npab031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
A genetic predisposition to tumor development can be identified in up to 10% of pediatric patients with central nervous system (CNS) tumors. For some entities, the rate of an underlying predisposition is even considerably higher. In recent years, population-based approaches have helped to further delineate the role of cancer predisposition in pediatric oncology. Investigations for cancer predisposition syndrome (CPS) can be guided by clinical signs and family history leading to directed testing of specific genes. The increasingly adopted molecular analysis of tumor and often parallel blood samples with multi-gene panel, whole-exome, or whole-genome sequencing identifies additional patients with or without clinical signs. Diagnosis of a genetic predisposition may put an additional burden on affected families. However, information on a given cancer predisposition may be critical for the patient as potentially influences treatment decisions and may offer the patient and healthy carriers the chance to take part in intensified surveillance programs aiming at early tumor detection. In this review, we discuss some of the practical and ethical challenges resulting from the widespread use of new diagnostic techniques and the most important CPS that may manifest with brain tumors in childhood.
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Affiliation(s)
- Steffen Hirsch
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.,Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Nicola Dikow
- Institute of Human Genetics, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan M Pfister
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.,Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Kristian W Pajtler
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.,Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany.,Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany
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43
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Park S, Lee C, Ku BM, Kim M, Park WY, Kim NKD, Ahn MJ. Paired analysis of tumor mutation burden calculated by targeted deep sequencing panel and whole exome sequencing in non-small cell lung cancer. BMB Rep 2021. [PMID: 34154699 PMCID: PMC8328823 DOI: 10.5483/bmbrep.2021.54.7.045] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Owing to rapid advancements in NGS (next generation sequen-cing), genomic alteration is now considered an essential pre-dictive biomarkers that impact the treatment decision in many cases of cancer. Among the various predictive biomarkers, tumor mutation burden (TMB) was identified by NGS and was con-sidered to be useful in predicting a clinical response in cancer cases treated by immunotherapy. In this study, we directly com-pared the lab-developed-test (LDT) results by target sequencing panel, K-MASTER panel v3.0 and whole-exome sequencing (WES) to evaluate the concordance of TMB. As an initial step, the reference materials (n = 3) with known TMB status were used as an exploratory test. To validate and evaluate TMB, we used one hundred samples that were acquired from surgically resected tissues of non-small cell lung cancer (NSCLC) patients. The TMB of each sample was tested by using both LDT and WES methods, which extracted the DNA from samples at the same time. In addition, we evaluated the impact of capture re-gion, which might lead to different values of TMB; the evalu-ation of capture region was based on the size of NGS and target sequencing panels. In this pilot study, TMB was evalu-ated by LDT and WES by using duplicated reference samples; the results of TMB showed high concordance rate (R2 = 0.887). This was also reflected in clinical samples (n = 100), which showed R2 of 0.71. The difference between the coding sequence ratio (3.49%) and the ratio of mutations (4.8%) indicated that the LDT panel identified a relatively higher number of mutations. It was feasible to calculate TMB with LDT panel, which can be useful in clinical practice. Furthermore, a customized approach must be developed for calculating TMB, which differs according to cancer types and specific clinical settings.
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Affiliation(s)
- Sehhoon Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Chung Lee
- Geninus Inc., Seoul 05836, 3Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea
| | - Bo Mi Ku
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
| | - Minjae Kim
- Geninus Inc., Seoul 05836, 3Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea
| | - Woong-Yang Park
- Geninus Inc., Seoul 05836, 3Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea
| | - Nayoung K. D. Kim
- Geninus Inc., Seoul 05836, 3Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Korea
| | - Myung-Ju Ahn
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
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44
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Targeting DNA Damage Response and Repair to Enhance Therapeutic Index in Cisplatin-Based Cancer Treatment. Int J Mol Sci 2021; 22:ijms22158199. [PMID: 34360968 PMCID: PMC8347825 DOI: 10.3390/ijms22158199] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/24/2021] [Accepted: 07/26/2021] [Indexed: 02/06/2023] Open
Abstract
Platinum-based chemotherapies, such as cisplatin, play a large role in cancer treatment. The development of resistance and treatment toxicity creates substantial barriers to disease control, yet. To enhance the therapeutic index of cisplatin-based chemotherapy, it is imperative to circumvent resistance and toxicity while optimizing tumor sensitization. One of the primary mechanisms by which cancer cells develop resistance to cisplatin is through upregulation of DNA repair pathways. In this review, we discuss the DNA damage response in the context of cisplatin-induced DNA damage. We describe the proteins involved in the pathways and their roles in resistance development. Common biomarkers for cisplatin resistance and their utilization to improve patient risk stratification and treatment personalization are addressed. Finally, we discuss some of the current treatments and future strategies to circumvent the development of cisplatin resistance.
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45
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Newman S, Nakitandwe J, Kesserwan CA, Azzato EM, Wheeler DA, Rusch M, Shurtleff S, Hedges DJ, Hamilton KV, Foy SG, Edmonson MN, Thrasher A, Bahrami A, Orr BA, Klco JM, Gu J, Harrison LW, Wang L, Clay MR, Ouma A, Silkov A, Liu Y, Zhang Z, Liu Y, Brady SW, Zhou X, Chang TC, Pande M, Davis E, Becksfort J, Patel A, Wilkinson MR, Rahbarinia D, Kubal M, Maciaszek JL, Pastor V, Knight J, Gout AM, Wang J, Gu Z, Mullighan CG, McGee RB, Quinn EA, Nuccio R, Mostafavi R, Gerhardt EL, Taylor LM, Valdez JM, Hines-Dowell SJ, Pappo AS, Robinson G, Johnson LM, Pui CH, Ellison DW, Downing JR, Zhang J, Nichols KE. Genomes for Kids: The scope of pathogenic mutations in pediatric cancer revealed by comprehensive DNA and RNA sequencing. Cancer Discov 2021; 11:3008-3027. [PMID: 34301788 DOI: 10.1158/2159-8290.cd-20-1631] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 03/21/2021] [Accepted: 06/23/2021] [Indexed: 11/16/2022]
Abstract
Genomic studies of pediatric cancer have primarily focused on specific tumor types or high-risk disease. Here, we used a three-platform sequencing approach, including whole genome (WGS), exome, and RNA sequencing, to examine tumor and germline genomes from 309 prospectively identified children with newly diagnosed (85%) or relapsed/refractory (15%) cancers, unselected for tumor type. Eighty-six percent of patients harbored diagnostic (53%), prognostic (57%), therapeutically-relevant (25%), and/or cancer predisposing (18%) variants. Inclusion of WGS enabled detection of activating gene fusions and enhancer hijacks (36% and 8% of tumors, respectively), small intragenic deletions (15% of tumors) and mutational signatures revealing of pathogenic variant effects. Evaluation of paired tumor-normal data revealed relevance to tumor development for 55% of pathogenic germline variants. This study demonstrates the power of a three-platform approach that incorporates WGS to interrogate and interpret the full range of genomic variants across newly diagnosed as well as relapsed/refractory pediatric cancers.
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Affiliation(s)
- Scott Newman
- Computational Biology, St. Jude Children's Research Hospital
| | - Joy Nakitandwe
- Pathology and Laboratory Medicine Institute, Cleveland Clinic
| | | | | | | | - Michael Rusch
- Department of Computational Biology, St. Jude Children's Research Hospital
| | | | - Dale J Hedges
- Computational Biology, St. Jude Children's Research Hospital
| | - Kayla V Hamilton
- Division of Cancer Predisposition, St. Jude Children's Research Hospital
| | - Scott G Foy
- Computational Biology, St. Jude Children's Research Hospital
| | | | - Andrew Thrasher
- Computational Biology, St. Jude Children's Research Hospital
| | - Armita Bahrami
- Department of Pathology, St. Jude Children's Research Hospital
| | - Brent A Orr
- Pathology, St. Jude Children's Research Hospital
| | | | - Jiali Gu
- Department of Pathology, St. Jude Children's Research Hospital
| | - Lynn W Harrison
- Division of Cancer Predisposition, St. Jude Children's Research Hospital
| | - Lu Wang
- Pathology, St. Jude Children's Research Hospital
| | | | - Annastasia Ouma
- Division of Cancer Predisposition, St. Jude Children's Research Hospital
| | - Antonina Silkov
- Department of Computational Biology, St. Jude Children's Research Hospital
| | | | | | - Yu Liu
- Computational Biology, St. Jude Children's Research Hospital
| | - Samuel W Brady
- Computational Biology, St. Jude Children's Research Hospital
| | - Xin Zhou
- St. Jude Children's Research Hospital
| | - Ti-Cheng Chang
- Computational Biology, St. Jude Children's Research Hospital
| | - Manjusha Pande
- Department of Computational Biology, St. Jude Children's Research Hospital
| | - Eric Davis
- Department of Computational Biology, St. Jude Children's Research Hospital
| | - Jared Becksfort
- Computational Biology, St. Jude Children's Research Hospital
| | - Aman Patel
- Computational Biology, St. Jude Children's Research Hospital
| | | | | | - Manish Kubal
- Division of Cancer Predisposition, St. Jude Children's Research Hospital
| | | | | | - Jay Knight
- Department of Computational Biology, St. Jude Children's Research Hospital
| | | | - Jian Wang
- Department of Computational Biology, St. Jude Children's Research Hospital
| | | | | | | | - Emily A Quinn
- Pharmacy and Health Sciences, Keck Graduate Institute
| | - Regina Nuccio
- Division of Cancer Predisposition, St. Jude Children's Research Hospital
| | | | - Elsie L Gerhardt
- Division of Cancer Predisposition, St. Jude Children's Research Hospital
| | - Leslie M Taylor
- Division of Cancer Predisposition, St. Jude Children's Research Hospital
| | | | | | | | | | - Liza-Marie Johnson
- Division of Quality of Life and Palliative Care, St. Jude Children's Research Hospital
| | | | | | | | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital
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46
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Neuroblastoma Risk Assessment and Treatment Stratification with Hybrid Capture-Based Panel Sequencing. J Pers Med 2021; 11:jpm11080691. [PMID: 34442335 PMCID: PMC8398598 DOI: 10.3390/jpm11080691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/06/2021] [Accepted: 07/09/2021] [Indexed: 11/17/2022] Open
Abstract
For many years, the risk-based therapy stratification of children with neuroblastoma has relied on clinical and molecular covariates. In recent years, genome analysis has revealed further alterations defining risk, tumor biology, and therapeutic targets. The implementation of a robust and scalable method for analyzing traditional and new molecular markers in routine diagnostics is an urgent clinical need. Here, we investigated targeted panel sequencing as a diagnostic approach to analyze all relevant genomic neuroblastoma risk markers in one assay. Our "neuroblastoma hybrid capture sequencing panel" (NB-HCSP) assay employs a technology for the high-coverage sequencing (>1000×) of 55 selected genes and neuroblastoma-relevant genomic regions, which allows for the detection of single nucleotide changes, structural rearrangements, and copy number alterations. We validated our assay by analyzing 15 neuroblastoma cell lines and a cohort of 20 neuroblastomas, for which reference routine diagnostic data and genome sequencing data were available. We observed a high concordance for risk markers identified by the NB-HSCP assay, clinical routine diagnostics, and genome sequencing. Subsequently, we demonstrated clinical applicability of the NB-HCSP assay by analyzing routine clinical samples. We conclude that the NB-HCSP assay may be implemented into routine diagnostics as a single assay that covers all essential covariates for initial neuroblastoma classification, extended risk stratification, and targeted therapy selection.
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47
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Dieckmann N, Schildhaus HU, Bauer S. Tropomyosin receptor kinases in sarcomas - of joy and despair. Curr Opin Oncol 2021; 33:336-344. [PMID: 33989242 DOI: 10.1097/cco.0000000000000752] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
PURPOSE OF REVIEW The relatively recent discovery of neurotrophic tropomyosin receptor kinase (NTRK) gene arrangements as pan-tumor predictive biomarkers has led to impressive novel treatments for patients with TRK fusions. Although the number of patients who qualify for treatment is vanishingly small for cancer patients in general, a few histological subsets of sarcomas exhibit NTRK fusions more commonly leading to large expectations within the sarcoma community. RECENT FINDINGS Larotrectenib and entrectenib have recently been approved based on durable responses in TRK positive cancers with nonresectable or metastatic disease, including many sarcomas. Identification of resistance mutations to TRKi has led to the development of novel salvage therapies which may soon further expand the armamentarium of treatments. The greatest barrier and frustration to date is the actual identification of patients who harbor the fusion. The dimension of rarity in sarcomas remains difficult to comprehend for both patients and caregivers. Diagnosis of NTRK fusions is complex, particularly in the context of sarcomas and can involve immunohistochemistry as a screening tool but frequently requires fluorescence-in-situ hybridization or next-generation sequencing (NGS) to confirm the diagnosis. SUMMARY The growing evidence on subtype-specific incidence of NTRK fusions will help to improve strategic prioritization or exclusion of subtypes to reduce the burden of negative testing. Next-generation inhibitors provide potential salvage treatment options for patients failing first-line therapy.
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Affiliation(s)
- Nils Dieckmann
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Duisburg-Essen, Medical School, Essen
- DKTK partner site Essen, German Cancer Consortium (DKTK), Heidelberg
| | - Hans-Ulrich Schildhaus
- DKTK partner site Essen, German Cancer Consortium (DKTK), Heidelberg
- Institute of Pathology, University Duisburg-Essen, Medical School, Essen, Germany
| | - Sebastian Bauer
- Department of Medical Oncology, Sarcoma Center, West German Cancer Center, University Duisburg-Essen, Medical School, Essen
- DKTK partner site Essen, German Cancer Consortium (DKTK), Heidelberg
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Abstract
The genetic basis for pediatric acute myeloid leukemia (AML) is highly heterogeneous, often involving the cooperative action of characteristic chromosomal rearrangements and somatic mutations in progrowth and antidifferentiation pathways that drive oncogenesis. Although some driver mutations are shared with adult AML, many genetic lesions are unique to pediatric patients, and their appropriate identification is essential for patient care. The increased understanding of these malignancies through broad genomic studies has begun to risk-stratify patients based on their combinations of genomic alterations, a trend that will enable precision medicine in this population.
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Affiliation(s)
- Bryan Krock
- Caris Life Sciences, 4610 South 44th Place, Phoenix, AZ, USA
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49
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Asada K, Kaneko S, Takasawa K, Machino H, Takahashi S, Shinkai N, Shimoyama R, Komatsu M, Hamamoto R. Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology. Front Oncol 2021; 11:666937. [PMID: 34055633 PMCID: PMC8149908 DOI: 10.3389/fonc.2021.666937] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 04/26/2021] [Indexed: 12/17/2022] Open
Abstract
With the completion of the International Human Genome Project, we have entered what is known as the post-genome era, and efforts to apply genomic information to medicine have become more active. In particular, with the announcement of the Precision Medicine Initiative by U.S. President Barack Obama in his State of the Union address at the beginning of 2015, "precision medicine," which aims to divide patients and potential patients into subgroups with respect to disease susceptibility, has become the focus of worldwide attention. The field of oncology is also actively adopting the precision oncology approach, which is based on molecular profiling, such as genomic information, to select the appropriate treatment. However, the current precision oncology is dominated by a method called targeted-gene panel (TGP), which uses next-generation sequencing (NGS) to analyze a limited number of specific cancer-related genes and suggest optimal treatments, but this method causes the problem that the number of patients who benefit from it is limited. In order to steadily develop precision oncology, it is necessary to integrate and analyze more detailed omics data, such as whole genome data and epigenome data. On the other hand, with the advancement of analysis technologies such as NGS, the amount of data obtained by omics analysis has become enormous, and artificial intelligence (AI) technologies, mainly machine learning (ML) technologies, are being actively used to make more efficient and accurate predictions. In this review, we will focus on whole genome sequencing (WGS) analysis and epigenome analysis, introduce the latest results of omics analysis using ML technologies for the development of precision oncology, and discuss the future prospects.
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Affiliation(s)
- Ken Asada
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Syuzo Kaneko
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Ken Takasawa
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Hidenori Machino
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Satoshi Takahashi
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Norio Shinkai
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
- Department of NCC Cancer Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Ryo Shimoyama
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Masaaki Komatsu
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Ryuji Hamamoto
- Cancer Translational Research Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
- Department of NCC Cancer Science, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
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50
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Davis AR, Stone SL, Oran AR, Sussman RT, Bhattacharyya S, Morrissette JJD, Bagg A. Targeted massively parallel sequencing of mature lymphoid neoplasms: assessment of empirical application and diagnostic utility in routine clinical practice. Mod Pathol 2021; 34:904-921. [PMID: 33311649 DOI: 10.1038/s41379-020-00720-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 11/02/2020] [Accepted: 11/03/2020] [Indexed: 12/21/2022]
Abstract
Massively parallel sequencing (MPS) has become a viable diagnostic tool to interrogate genetic profiles of numerous tumors but has yet to be routinely adopted in the setting of lymphoma. Here, we report the empirical application of a targeted 40-gene panel developed for use in mature lymphoid neoplasms (MLNs) and report our experience on over 500 cases submitted for MPS during the first year of its clinical use. MPS was applied to both fresh and fixed specimens. The most frequent diagnoses were diffuse large B-cell lymphoma (116), chronic lymphocytic leukemia/small lymphocytic lymphoma (60), marginal zone lymphoma (52), and follicular lymphoma (43), followed by a spectrum of mature T-cell neoplasms (40). Of 534 cases submitted, 471 generated reportable results in MLNs, with disease-associated variants (DAVs) detected in 241 cases (51.2%). The most frequent DAVs affected TP53 (30%), CREBBP (14%), MYD88 (14%), TNFRSF14 (10%), TNFAIP3 (10%), B2M (7%), and NOTCH2 (7%). The bulk of our findings confirm what is reported in the scientific literature. While a substantial majority of mutations did not directly impact diagnosis, MPS results were utilized to either change, refine, or facilitate the final diagnosis in ~10.8% of cases with DAVs and 5.5% of cases overall. In addition, we identified preanalytic variables that significantly affect assay performance highlighting items for specimen triage. We demonstrate the technical viability and utility of the judicious use of a targeted MPS panel that may help to establish general guidelines for specimen selection and diagnostic application in MLNs in routine clinical practice.
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Affiliation(s)
- Adam R Davis
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Sara L Stone
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda R Oran
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Robyn T Sussman
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Siddharth Bhattacharyya
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Jennifer J D Morrissette
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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