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Zhang M, Yao X, Guan X, Jia C, Zhang R, Wang H, Guo Y, Ni X, Yu Y, He L. Clinical relevance of BCOR internal tandem duplication and TP53 aberration in clear cell sarcoma of the kidney. Hum Pathol 2022; 134:45-55. [PMID: 36563883 DOI: 10.1016/j.humpath.2022.12.007] [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: 10/11/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022]
Abstract
Clear cell sarcoma of the kidney (CCSK) is the second most common pediatric renal malignancy, characterized by BCOR internal tandem duplication (ITD), YWHAE rearrangement, BCOR-CCNB3 fusion, and lack of other consistent structural alteration. We accidentally identified TP53 deletion in CCSK, which was often associated with adverse clinical outcomes. In this study, we assessed the incidence as well as the clinical relevance of these molecules in CCSK patients. BCOR ITD, YWHAE rearrangement, BCOR-CCNB3 fusion and TP53 status were examined by polymerase chain reaction, fluorescence in situ hybridization, or Sanger sequencing in a cohort of 39 patients with CCSK. Among them, 34 cases (87.18%) had BCOR ITD, 1 (2.56%) had YWHAE rearrangement, and 1 (2.56%) had BCOR-CCNB3 gene fusion. The remaining 3 (7.69%) harbored none of these aberrations. BCOR ITD, YWHAE rearrangement and BCOR-CCNB3 were mutually exclusive. Furthermore, 25.64% of the cohort acquired TP53 aberration (10/39, 3 with both copy number deletion and point mutation, 6 with deletion only, and 1 with mutation only), all of which were associated with BCOR ITD. Patients with or without BCOR ITD or TP53 aberration did not differ in demographic characteristics such as sex, onset age, or tumor stage at diagnosis. However, the overall survival rates and progression-free survival rates of BCOR ITD or TP53 deletion groups showed obvious downward trends, albeit not all reaching statistical significance. Patients with both BCOR ITD and TP53 deletion had the poorest prognosis.
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Affiliation(s)
- Meng Zhang
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Xingfeng Yao
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Xiaoxing Guan
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Chao Jia
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Ruqian Zhang
- Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, MOE Key Laboratory of Major Diseases in Children, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Huanmin Wang
- Department of Surgical Oncology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Yongli Guo
- Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, MOE Key Laboratory of Major Diseases in Children, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Xin Ni
- Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, MOE Key Laboratory of Major Diseases in Children, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China; Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China; Biobank for Clinical Data and Samples in Pediatrics, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China
| | - Yongbo Yu
- Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, MOE Key Laboratory of Major Diseases in Children, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China; Biobank for Clinical Data and Samples in Pediatrics, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China.
| | - Lejian He
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health (NCCH), Beijing, 100045, China.
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Sun TY, Zhao L, Hummelen PV, Martin B, Hornbacker K, Lee H, Xia LC, Padda SK, Ji HP, Kunz P. Exploratory genomic analysis of high-grade neuroendocrine neoplasms across diverse primary sites. Endocr Relat Cancer 2022; 29:665-679. [PMID: 36165930 PMCID: PMC10043760 DOI: 10.1530/erc-22-0015] [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: 09/02/2022] [Accepted: 09/27/2022] [Indexed: 11/08/2022]
Abstract
High-grade (grade 3) neuroendocrine neoplasms (G3 NENs) have poor survival outcomes. From a clinical standpoint, G3 NENs are usually grouped regardless of primary site and treated similarly. Little is known regarding the underlying genomics of these rare tumors, especially when compared across different primary sites. We performed whole transcriptome (n = 46), whole exome (n = 40), and gene copy number (n = 43) sequencing on G3 NEN formalin-fixed, paraffin-embedded samples from diverse organs (in total, 17 were lung, 16 were gastroenteropancreatic, and 13 other). G3 NENs despite arising from diverse primary sites did not have gene expression profiles that were easily segregated by organ of origin. Across all G3 NENs, TP53, APC, RB1, and CDKN2A were significantly mutated. The CDK4/6 cell cycling pathway was mutated in 95% of cases, with upregulation of oncogenes within this pathway. G3 NENs had high tumor mutation burden (mean 7.09 mutations/MB), with 20% having >10 mutations/MB. Two somatic copy number alterations were significantly associated with worse prognosis across tissue types: focal deletion 22q13.31 (HR, 7.82; P = 0.034) and arm amplification 19q (HR, 4.82; P = 0.032). This study is among the most diverse genomic study of high-grade neuroendocrine neoplasms. We uncovered genomic features previously unrecognized for this rapidly fatal and rare cancer type that could have potential prognostic and therapeutic implications.
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Affiliation(s)
- Thomas Yang Sun
- Stanford University School of Medicine, Division of Oncology, Department of Medicine, Stanford, CA
| | - Lan Zhao
- Stanford University School of Medicine, Division of Oncology, Department of Medicine, Stanford, CA
| | - Paul Van Hummelen
- Stanford University School of Medicine, Division of Oncology, Department of Medicine, Stanford, CA
| | - Brock Martin
- Stanford University School of Medicine, Department of Pathology, Stanford, CA
| | | | - HoJoon Lee
- Stanford University School of Medicine, Division of Oncology, Department of Medicine, Stanford, CA
| | - Li C. Xia
- Stanford University School of Medicine, Division of Oncology, Department of Medicine, Stanford, CA
- Albert Einstein College of Medicine, Division of Biostatistics, Department of Epidemiology and Public Health, Bronx, NY
| | - Sukhmani K. Padda
- Cedars-Sinai Medical Center, Department of Medical Oncology, Los Angeles, CA
| | - Hanlee P. Ji
- Stanford University School of Medicine, Division of Oncology, Department of Medicine, Stanford, CA
- Stanford Genome Technology Center, Stanford, CA
| | - Pamela Kunz
- Yale School of Medicine, Smilow Cancer Hospital, Yale Cancer Center, New Haven, CT
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Almeda AF, Grimes SM, Lee H, Greer S, Shin G, McNamara M, Hooker AC, Arce MM, Kubit M, Schauer MC, Van Hummelen P, Ma C, Mills MA, Huang RJ, Hwang JH, Amieva MR, Han SS, Ford JM, Ji HP. The Gastric Cancer Registry: A Genomic Translational Resource for Multidisciplinary Research in Gastric Cancer. Cancer Epidemiol Biomarkers Prev 2022; 31:1693-1700. [PMID: 35771165 PMCID: PMC9813806 DOI: 10.1158/1055-9965.epi-22-0308] [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: 03/17/2022] [Revised: 05/10/2022] [Accepted: 06/23/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Gastric cancer is a leading cause of cancer morbidity and mortality. Developing information systems which integrate clinical and genomic data may accelerate discoveries to improve cancer prevention, detection, and treatment. To support translational research in gastric cancer, we developed the Gastric Cancer Registry (GCR), a North American repository of clinical and cancer genomics data. METHODS Participants self-enrolled online. Entry criteria into the GCR included the following: (i) diagnosis of gastric cancer, (ii) history of gastric cancer in a first- or second-degree relative, or (iii) known germline mutation in the gene CDH1. Participants provided demographic and clinical information through a detailed survey. Some participants provided specimens of saliva and tumor samples. Tumor samples underwent exome sequencing, whole-genome sequencing, and transcriptome sequencing. RESULTS From 2011 to 2021, 567 individuals registered and returned the clinical questionnaire. For this cohort 65% had a personal history of gastric cancer, 36% reported a family history of gastric cancer, and 14% had a germline CDH1 mutation. 89 patients with gastric cancer provided tumor samples. For the initial study, 41 tumors were sequenced using next-generation sequencing. The data was analyzed for cancer mutations, copy-number variations, gene expression, microbiome, neoantigens, immune infiltrates, and other features. We developed a searchable, web-based interface (the GCR Genome Explorer) to enable researchers' access to these datasets. CONCLUSIONS The GCR is a unique, North American gastric cancer registry which integrates clinical and genomic annotation. IMPACT Available for researchers through an open access, web-based explorer, the GCR Genome Explorer will accelerate collaborative gastric cancer research across the United States and world.
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Affiliation(s)
- Alison F. Almeda
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Susan M Grimes
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - HoJoon Lee
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Stephanie Greer
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - GiWon Shin
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Madeline McNamara
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Anna C Hooker
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Maya M Arce
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Matthew Kubit
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Marie C Schauer
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Paul Van Hummelen
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Cindy Ma
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Meredith A. Mills
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Robert J. Huang
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Joo Ha Hwang
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Manuel R. Amieva
- Division of Infectious Diseases, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Summer S Han
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - James M. Ford
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
| | - Hanlee P. Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, United States
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Hypermethylation of PDX1, EN2, and MSX1 predicts the prognosis of colorectal cancer. Exp Mol Med 2022; 54:156-168. [PMID: 35169223 PMCID: PMC8894425 DOI: 10.1038/s12276-022-00731-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 11/12/2021] [Accepted: 11/18/2021] [Indexed: 02/06/2023] Open
Abstract
Despite numerous observations regarding the relationship between DNA methylation changes and cancer progression, only a few genes have been verified as diagnostic biomarkers of colorectal cancer (CRC). To more practically detect methylation changes, we performed targeted bisulfite sequencing. Through co-analysis of RNA-seq, we identified cohort-specific DNA methylation markers: CpG islands of the intragenic regions of PDX1, EN2, and MSX1. We validated that these genes have oncogenic features in CRC and that their expression levels are increased in correlation with the hypermethylation of intragenic regions. The reliable depth of the targeted bisulfite sequencing data enabled us to design highly optimized quantitative methylation-specific PCR primer sets that can successfully detect subtle changes in the methylation levels of candidate regions. Furthermore, these methylation levels can divide CRC patients into two groups denoting good and poor prognoses. In this study, we present a streamlined workflow for screening clinically significant differentially methylated regions. Our discovery of methylation markers in the PDX1, EN2, and MSX1 genes suggests their promising performance as prognostic markers and their clinical application in CRC patients. An experimental strategy for detecting patterns of DNA modification reveals gene-specific alterations associated with worse outcomes in colorectal cancer patients. Many genomic regions undergo a process of chemical modification called methylation, which can strongly affect the expression of nearby genes. Many cancers exhibit abnormal methylation, and South Korean researchers led by Tae-You Kim of Seoul National University and Lark Kyun Kim of Yonsei University College of Medicine, Seoul, have developed a strategy for identifying such tumor-specific modifications. They identified a trio of genes that undergo excessive methylation in colorectal cancer, and show that this ‘signature’ is associated with more advanced metastatic tumors and shorter overall survival. The results from this study could give clinicians an additional diagnostic tool, and highlight the potential utility of performing such methylation profiling in other cancer types.
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Golas MM, Gunawan B, Cakir M, Cameron S, Enders C, Liersch T, Füzesi L, Sander B. Evolutionary patterns of chromosomal instability and mismatch repair deficiency in proximal and distal colorectal cancer. Colorectal Dis 2022; 24:157-176. [PMID: 34623739 DOI: 10.1111/codi.15946] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 07/04/2021] [Accepted: 09/28/2021] [Indexed: 12/27/2022]
Abstract
AIM Colorectal carcinomas (CRCs) progress through heterogeneous pathways. The aim of this study was to analyse whether or not the cytogenetic evolution of CRC is linked to tumour site, level of chromosomal imbalance and metastasis. METHOD A set of therapy-naïve pT3 CRCs comprising 26 proximal and 49 distal pT3 CRCs was studied by combining immunohistochemistry of mismatch repair (MMR) proteins, microsatellite analyses and molecular karyotyping as well as clinical parameters. RESULTS A MMR deficient/microsatellite-unstable (dMMR/MSI-H) status was associated with location of the primary tumour proximal to the splenic flexure, and dMMR/MSI-H tumours presented with significantly lower levels of chromosomal imbalances compared with MMR proficient/microsatellite-stable (pMMR/MSS) tumours. Oncogenetic tree modelling suggested two evolutionary clusters characterized by dMMR/MSI-H and chromosomal instability (CIN), respectively, for both proximal and distal CRCs. In CIN cases, +13q, -18q and +20q were predicted as preferentially early events, and -1p, -4 -and -5q as late events. Separate oncogenetic tree models of proximal and distal cases indicated similar early events independent of tumour site. However, in cases with high CIN defined by more than 10 copy number aberrations, loss of 17p occurred earlier in cytogenetic evolution than in cases showing low to moderate CIN. Differences in the oncogenetic trees were observed for CRCs with lymph node and distant metastasis. Loss of 8p was modelled as an early event in node-positive CRC, while +7p and +8q comprised early events in CRC with distant metastasis. CONCLUSION CRCs characterized by CIN follow multiple, interconnected genetic pathways in line with the basic 'Vogelgram' concept proposed for the progression of CRC that places the accumulation of genetic changes at centre of tumour evolution. However, the timing of specific genetic events may favour metastatic potential.
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Affiliation(s)
- Mariola Monika Golas
- Department of Hematology and Medical Oncology, Comprehensive Cancer Center Augsburg, University Medical Center Augsburg, Augsburg, Germany
| | - Bastian Gunawan
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Meliha Cakir
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Silke Cameron
- Department of Gastroenterology and Gastrointestinal Oncology, University Medical Center Göttingen, Göttingen, Germany
| | - Christina Enders
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany
| | - Torsten Liersch
- Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Göttingen, Germany
| | - Laszlo Füzesi
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.,Institute of Pathology and Molecular Diagnostics, University Medical Center Augsburg, Augsburg, Germany
| | - Bjoern Sander
- Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.,Institute of Pathology, Hannover Medical School, Hannover, Germany
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Shin G, Greer SU, Hopmans E, Grimes SM, Lee H, Zhao L, Miotke L, Suarez C, Almeda AF, Haraldsdottir S, Ji HP. Profiling diverse sequence tandem repeats in colorectal cancer reveals co-occurrence of microsatellite and chromosomal instability involving Chromosome 8. Genome Med 2021; 13:145. [PMID: 34488871 PMCID: PMC8420050 DOI: 10.1186/s13073-021-00958-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 08/23/2021] [Indexed: 11/10/2022] Open
Abstract
We developed a sensitive sequencing approach that simultaneously profiles microsatellite instability, chromosomal instability, and subclonal structure in cancer. We assessed diverse repeat motifs across 225 microsatellites on colorectal carcinomas. Our study identified elevated alterations at both selected tetranucleotide and conventional mononucleotide repeats. Many colorectal carcinomas had a mix of genomic instability states that are normally considered exclusive. An MSH3 mutation may have contributed to the mixed states. Increased copy number of chromosome arm 8q was most prevalent among tumors with microsatellite instability, including a case of translocation involving 8q. Subclonal analysis identified co-occurring driver mutations previously known to be exclusive.
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Affiliation(s)
- GiWon Shin
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Stephanie U Greer
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Erik Hopmans
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Susan M Grimes
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - HoJoon Lee
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Lan Zhao
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Laura Miotke
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Carlos Suarez
- Department of Pathology, Stanford University School of Medicine, Palo Alto, CA, 94304, USA
| | - Alison F Almeda
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Sigurdis Haraldsdottir
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA
| | - Hanlee P Ji
- Division of Oncology, Department of Medicine, Stanford University School of Medicine, 269 Campus Drive, Stanford, CA, 94305-5151, USA. .,Stanford Genome Technology Center, Stanford University, Palo Alto, CA, 94304, USA.
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