1
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Beird HC, Wu CC, Nakazawa M, Ingram D, Daniele JR, Lazcano R, Little L, Davies C, Daw NC, Wani K, Wang WL, Song X, Gumbs C, Zhang J, Rubin B, Conley A, Flanagan AM, Lazar AJ, Futreal PA. Complete loss of TP53 and RB1 is associated with complex genome and low immune infiltrate in pleomorphic rhabdomyosarcoma. HGG Adv 2023; 4:100224. [PMID: 37593416 PMCID: PMC10428123 DOI: 10.1016/j.xhgg.2023.100224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/14/2023] [Indexed: 08/19/2023] Open
Abstract
Rhabdomyosarcoma accounts for roughly 1% of adult sarcomas, with pleomorphic rhabdomyosarcoma (PRMS) as the most common subtype. Survival outcomes remain poor for patients with PRMS, and little is known about the molecular drivers of this disease. To better characterize PRMS, we performed a broad array of genomic and immunostaining analyses on 25 patient samples. In terms of gene expression and methylation, PRMS clustered more closely with other complex karyotype sarcomas than with pediatric alveolar and embryonal rhabdomyosarcoma. Immune infiltrate levels in PRMS were among the highest observed in multiple sarcoma types and contrasted with low levels in other rhabdomyosarcoma subtypes. Lower immune infiltrate was associated with complete loss of both TP53 and RB1. This comprehensive characterization of the genetic, epigenetic, and immune landscape of PRMS provides a roadmap for improved prognostications and therapeutic exploration.
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Affiliation(s)
- Hannah C. Beird
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chia-Chin Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Michael Nakazawa
- Department of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Davis Ingram
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Joseph R. Daniele
- TRACTION Platform, Division of Therapeutics Discovery, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rossana Lazcano
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christopher Davies
- Research Department of Pathology, UCL Cancer Institute, London WC1E 6DD, UK
| | - Najat C. Daw
- Department of Pediatrics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Khalida Wani
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wei-Lien Wang
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Brian Rubin
- Institute Chair, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Anthony Conley
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Adrienne M. Flanagan
- Research Department of Pathology, UCL Cancer Institute, London WC1E 6DD, UK
- Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex HA7 4LP, UK
| | - Alexander J. Lazar
- Department of Translational and Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - P. Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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2
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Fang H, Beird HC, Wang SA, Ibrahim AF, Tang Z, Tang G, You MJ, Hu S, Xu J, Li S, Yin CC, El Hussein S, Le N, Futreal PA, Bueso-Ramos C, Thakral B, Kadia TM, Thornton R, Little L, Gumbs C, Song X, Medeiros LJ, Wang W. T-prolymphocytic leukemia: TCL1 or MTCP1 rearrangement is not mandatory to establish diagnosis. Leukemia 2023; 37:1919-1921. [PMID: 37443196 DOI: 10.1038/s41375-023-01956-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/01/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023]
Affiliation(s)
- Hong Fang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hannah C Beird
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sa A Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew F Ibrahim
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Texas Tech University Health Sciences Center School of Medicine, Lubbock, TX, USA
| | - Zhenya Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guilin Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M James You
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shimin Hu
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jie Xu
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shaoying Li
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - C Cameron Yin
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Siba El Hussein
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nhi Le
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Beenu Thakral
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tapan M Kadia
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rebecca Thornton
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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3
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Li R, Altan M, Reuben A, Lin R, Heymach JV, Tran H, Chen R, Little L, Hubert S, Zhang J, Li Z. A novel statistical method for decontaminating T-cell receptor sequencing data. Brief Bioinform 2023:bbad230. [PMID: 37337757 PMCID: PMC10359082 DOI: 10.1093/bib/bbad230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 05/16/2023] [Accepted: 05/30/2023] [Indexed: 06/21/2023] Open
Abstract
The T-cell receptor (TCR) repertoire is highly diverse among the population and plays an essential role in initiating multiple immune processes. TCR sequencing (TCR-seq) has been developed to profile the T cell repertoire. Similar to other high-throughput experiments, contamination can happen during several steps of TCR-seq, including sample collection, preparation and sequencing. Such contamination creates artifacts in the data, leading to inaccurate or even biased results. Most existing methods assume 'clean' TCR-seq data as the starting point with no ability to handle data contamination. Here, we develop a novel statistical model to systematically detect and remove contamination in TCR-seq data. We summarize the observed contamination into two sources, pairwise and cross-cohort. For both sources, we provide visualizations and summary statistics to help users assess the severity of the contamination. Incorporating prior information from 14 existing TCR-seq datasets with minimum contamination, we develop a straightforward Bayesian model to statistically identify contaminated samples. We further provide strategies for removing the impacted sequences to allow for downstream analysis, thus avoiding any need to repeat experiments. Our proposed model shows robustness in contamination detection compared with a few off-the-shelf detection methods in simulation studies. We illustrate the use of our proposed method on two TCR-seq datasets generated locally.
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Affiliation(s)
- Ruoxing Li
- Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, 77030, Texas, Houston, USA
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Mehmet Altan
- Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Alexandre Reuben
- Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Ruitao Lin
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - John V Heymach
- Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Hai Tran
- Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Runzhe Chen
- Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Shawna Hubert
- Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Jianjun Zhang
- Department of Thoracic-Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
| | - Ziyi Li
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 77030, Texas, Houston, USA
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4
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Khlebus E, Vuttaradhi VK, Welte T, Khurana N, Celestino J, Beird HC, Gumbs C, Little L, Legarreta AF, Fellman BM, Nguyen T, Lawson B, Ferri-Borgogno S, Mok SC, Broaddus RR, Gershenson DM, Futreal PA, Hillman RT. Comparative Tumor Microenvironment Analysis of Primary and Recurrent Ovarian Granulosa Cell Tumors. Mol Cancer Res 2023; 21:483-494. [PMID: 37068116 PMCID: PMC10150241 DOI: 10.1158/1541-7786.mcr-22-0623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 12/08/2022] [Accepted: 02/02/2023] [Indexed: 04/18/2023]
Abstract
Adult-type granulosa cell tumors (aGCT) are rare ovarian sex cord tumors with few effective treatments for recurrent disease. The objective of this study was to characterize the tumor microenvironment (TME) of primary and recurrent aGCTs and to identify correlates of disease recurrence. Total RNA sequencing (RNA-seq) was performed on 24 pathologically confirmed, cryopreserved aGCT samples, including 8 primary and 16 recurrent tumors. After read alignment and quality-control filtering, DESeq2 was used to identify differentially expressed genes (DEG) between primary and recurrent tumors. Functional enrichment pathway analysis and gene set enrichment analysis was performed using "clusterProfiler" and "GSVA" R packages. TME composition was investigated through the analysis and integration of multiple published RNA-seq deconvolution algorithms. TME analysis results were externally validated using data from independent previously published RNA-seq datasets. A total of 31 DEGs were identified between primary and recurrent aGCTs. These included genes with known function in hormone signaling such as LHCGR and INSL3 (more abundant in primary tumors) and CYP19A1 (more abundant in recurrent tumors). Gene set enrichment analysis revealed that primarily immune-related and hormone-regulated gene sets expression was increased in recurrent tumors. Integrative TME analysis demonstrated statistically significant depletion of cancer-associated fibroblasts in recurrent tumors. This finding was confirmed in multiple independent datasets. IMPLICATIONS Recurrent aGCTs exhibit alterations in hormone pathway gene expression as well as decreased infiltration of cancer-associated fibroblasts, suggesting dual roles for hormonal signaling and TME remodeling underpinning disease relapse.
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Affiliation(s)
- Eleonora Khlebus
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Veena K Vuttaradhi
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Thomas Welte
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Namrata Khurana
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Joseph Celestino
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hannah C Beird
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alejandra Flores Legarreta
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bryan M Fellman
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tri Nguyen
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Barrett Lawson
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sammy Ferri-Borgogno
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Samuel C Mok
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Russell R Broaddus
- Department of Pathology and Laboratory Medicine, The University of North Carolina, Chapel Hill, North Carolina
| | - David M Gershenson
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - R Tyler Hillman
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
- CPRIT Scholar in Cancer Research, Houston, Texas
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5
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Khlebus E, Vuttaradhi VK, Welte T, Khurana N, Celestino J, Beird HC, Gumbs C, Little L, Legarreta AF, Nguyen T, Lawson B, Broaddus RR, Gershenson DM, Futreal PA, Hillman RT. Abstract 2503: Tumor microenvironment composition correlates with relapse in ovarian granulosa cell tumors. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-2503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Background: Adult-type granulosa cell tumors (AGCT) are rare ovarian sex cord tumors that exhibit near-universal FOXL2 c.C402G (p.Cys134Trp) hotspot mutations. AGCT recurrence is difficult to predict and is almost always incurable after relapse. Little is known about the relationship between intra-tumor immune and stromal composition and AGCT relapse.
Objective: To compare global gene expression profiles between primary and recurrent AGCTs, characterize the tumor microenvironment (TME), and identify correlates of disease recurrence.
Methods: Total RNA sequencing was performed on 24 pathologically confirmed, cryopreserved AGCT samples, including 8 primary and 16 recurrent tumors. Standard methods were applied for read alignment, quality control, and quantification of gene-specific read counts. DESeq2 was used to identify statistically significant (adjusted P-value < 0.05) differentially expressed genes between primary and recurrent tumors with fold change > 2. Gene set enrichment analysis was performed using clusterProfiler. Integrative TME composition de-convolution was performed using multiple published algorithms including CIBERSORTx, quanTIseq, xCell, MCP-counter, and EPIC. TME analysis results were externally validated using data from smaller, previously published RNA sequencing datasets.
Results: Thirty-one genes were identified as differentially expressed between primary and recurrent AGCTs, including NELL2, GDF6, TUBB2B, AQP3. These included genes with known function in hormone signaling such as LHCGR (adjusted P-value = 0.002) and INSL3 (adjusted P-value = 0.017) which were highly expressed in primary tumors and CYP19A1 (adjusted P-value = 0.009) which was highly expressed in recurrent tumors. Gene set enrichment analysis revealed increased expression of hormone-regulated and immune-related gene sets in recurrent tumors. Integrative, multi-platform TME analysis showed recurrent AGCT to exhibit reduced fractions of cancer-associated fibroblasts and enrichment of myeloid lineages such as neutrophils and macrophages.
Conclusions: Recurrent AGCTs exhibit alterations in hormone pathway gene expression as well as decreased infiltration of cancer-associated fibroblasts, suggesting dual roles for hormonal signaling and TME remodeling underpinning disease relapse.
Citation Format: Eleonora Khlebus, Veena K. Vuttaradhi, Thomas Welte, Namrata Khurana, Joseph Celestino, Hannah C. Beird, Curtis Gumbs, Latasha Little, Alejandra Flores Legarreta, Tri Nguyen, Barrett Lawson, Russell R. Broaddus, David M. Gershenson, P. Andrew Futreal, R. Tyler Hillman. Tumor microenvironment composition correlates with relapse in ovarian granulosa cell tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2503.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Tri Nguyen
- 1UT MD Anderson Cancer Center, Houston, TX
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6
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Watts E, Little L, Bewick J, Chin J, Jonas N. Successful management of an unstable paediatric laryngeal injury in a low-resource setting. Trop Doct 2023; 53:288-290. [PMID: 36654497 DOI: 10.1177/00494755221131686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Laryngeal injury is rare but has a very high mortality rate. Compared to adults, laryngeal injury in children is more uncommon due to both behavioural and anatomical reasons. Severe laryngeal injury may require surgical repair, intensive care support and tracheostomy care, all of which are difficult to achieve in a low resource setting. We report a case of successful management of laryngeal trauma in a child involving an emergency tracheostomy insertion, open repair of thyroid cartilage fracture, tracheal stenting and successful decannulation after 8 weeks post-injury with full recovery.
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Affiliation(s)
- E Watts
- Department of Surgery, Hopitaly Vaovao Mahafaly (The Good News Hospital), Mandritsara, Madagascar
| | - L Little
- Department of Surgery, Hopitaly Vaovao Mahafaly (The Good News Hospital), Mandritsara, Madagascar
| | - J Bewick
- Department of Paediatric Otolaryngology, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Jwe Chin
- Department of Surgery, Hopitaly Vaovao Mahafaly (The Good News Hospital), Mandritsara, Madagascar.,Department of Anaesthesia, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - N Jonas
- Department of Paediatric Otolaryngology, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
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7
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Sperling AS, Guerra VA, Kennedy JA, Yan Y, Hsu JI, Wang F, Nguyen AT, Miller PG, McConkey ME, Quevedo Barrios VA, Furudate K, Zhang L, Kanagal-Shamanna R, Zhang J, Little L, Gumbs C, Daver N, DiNardo CD, Kadia T, Ravandi F, Kantarjian H, Garcia-Manero G, Futreal PA, Ebert BL, Takahashi K. Lenalidomide promotes the development of TP53-mutated therapy-related myeloid neoplasms. Blood 2022; 140:1753-1763. [PMID: 35512188 PMCID: PMC9837415 DOI: 10.1182/blood.2021014956] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/25/2022] [Indexed: 01/26/2023] Open
Abstract
There is a growing body of evidence that therapy-related myeloid neoplasms (t-MNs) with driver gene mutations arise in the background of clonal hematopoiesis (CH) under the positive selective pressure of chemo- and radiation therapies. Uncovering the exposure relationships that provide selective advantage to specific CH mutations is critical to understanding the pathogenesis and etiology of t-MNs. In a systematic analysis of 416 patients with t-MN and detailed prior exposure history, we found that TP53 mutations were significantly associated with prior treatment with thalidomide analogs, specifically lenalidomide. We demonstrated experimentally that lenalidomide treatment provides a selective advantage to Trp53-mutant hematopoietic stem and progenitor cells (HSPCs) in vitro and in vivo, the effect of which was specific to Trp53-mutant HSPCs and was not observed in HSPCs with other CH mutations. Because of the differences in CK1α degradation, pomalidomide treatment did not provide an equivalent level of selective advantage to Trp53-mutant HSPCs, providing a biological rationale for its use in patients at high risk for t-MN. These findings highlight the role of lenalidomide treatment in promoting TP53-mutated t-MNs and offer a potential alternative strategy to mitigate the risk of t-MN development.
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Affiliation(s)
- Adam S. Sperling
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Division of Hematology, Brigham and Women’s Hospital, Boston, MA
| | - Veronica A. Guerra
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - James A. Kennedy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Department of Medicine, University of Toronto, Toronto, Canada
- Division of Hematology and Medical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
- Division of Hematology and Medical Oncology, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Yuanqing Yan
- Department of Neurosurgery, University of Northwestern, Chicago, IL
| | - Joanne I. Hsu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Feng Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Andrew T. Nguyen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Peter G. Miller
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Marie E. McConkey
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Oral and Maxillofacial Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Linda Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Naval Daver
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Courtney D. DiNardo
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Tapan Kadia
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hagop Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - P. Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Benjamin L. Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Howard Hughes Medical Institute, Dana-Farber Cancer Institute, Boston, MA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
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8
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Li Z, Hubert SM, Zhang R, Song X, Karpinets T, Weissferdt A, Little L, Mohammad M, Gumbs C, Negrao MV, Zhang J, Pataer A, Swisher S, Vaporciyan AA, Roth JA, Heymach J, Sepesi B, Gibbons DL, Fang B, Zhang J. Molecular parameters impacting the success rate of a lung cancer PDX model. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e20592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e20592 Background: Patient-derived xenograft (PDX) models can provide renewable cancer tissue resources, are being increasingly utilized for the molecular characterizations of cancers and preclinical studies on drug activities, and have the potential to advance biomarker identification. Previous research has demonstrated that PDX tumors preserve the histologic and morphologic characteristics and gene expression and mutation patterns of primary tumors, and correlate to patient survival. Tumor histological subtypes and differentiation grades are known to contribute to the success of PDX intake, but little is known about how molecular features associate with the success of PDX engraftment or whether PDX preserves subclonal architecture of primary tumors. Methods: To fill this void, we analyzed 252 primary tumor samples from the SPORE/ICON project at MD Anderson Cancer Center that were used for generating PDXs and had comprehensive genomic, transcriptomic, and immune profiling data available to evaluate the parameters impacting the intake success of lung cancer PDXs. In order to establish the impact of molecular features on PDX intake success we also assessed the fidelity of PDX in representing the molecular features of this cohort of primary tumors. Results: Only 36% of the primary tumors in this study successfully generated a PDX, with Squamous Cell Carcinoma PDX demonstrating an intake rate of 67% and Adenocarcinoma PDX demonstrating an intake rate of 21%. Genomic architecture derived from whole exome sequencing showed not only 43% (38-48%) of mutations shared, but also similar clonal architecture between primary tumors and PDX. Higher copy number aberration burden, high tumor purity and low immune infiltration in primary tumors were found to be associated with successful intake of PDX. Transcriptomics revealed 6,103 genes differentially expressed between primary tumors with successful PDX intake versus those which were unsuccessful. Pathway analysis of these genes indicated that inhibition of cell proliferation, signaling, and migration as well as DNA replication, recombination and repair were associated with PDX intake failure regardless of histology. Conclusions: These findings indicate that PDX intake success is regulated by molecular features and multiomic evaluation of lung cancer primary tumors can be used as a marker for determining which samples to use for PDX model generation.
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Affiliation(s)
- Ziyi Li
- The University of Texas MD Anderson Cancer Center, Department of Biostatistics, Houston, TX
| | | | - Ran Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xingzhi Song
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Annikka Weissferdt
- Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Curtis Gumbs
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Marcelo Vailati Negrao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Apar Pataer
- Univ of Texas MD Anderson Cancer Ctr, Houston, TX
| | - Stephen Swisher
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ara A. Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jack A. Roth
- Department of Thoracic and cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - John Heymach
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Boris Sepesi
- Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Don Lynn Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Bingliang Fang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianjun Zhang
- Department of Thoracic and Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
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9
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Sasaki Y, Kantarjian HM, Short NJ, Wang F, Furudate K, Uryu H, Garris R, Jain N, Sasaki K, Ravandi F, Konopleva M, Garcia-Manero G, Little L, Gumbs C, Zhao L, Futreal PA, Takahashi K, Jabbour E. Genetic correlates in patients with Philadelphia chromosome-positive acute lymphoblastic leukemia treated with Hyper-CVAD plus dasatinib or ponatinib. Leukemia 2022; 36:1253-1260. [PMID: 35132195 DOI: 10.1038/s41375-021-01496-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 11/02/2021] [Accepted: 12/09/2021] [Indexed: 11/09/2022]
Abstract
Recurring genetic abnormalities have been identified in Philadelphia chromosome (Ph)-positive acute lymphoblastic leukemia (ALL). Among them, IKZF1 deletion was associated with poor prognosis in patients treated with imatinib-based or dasatinib-based regimens. However, the molecular determinants for clinical outcomes in ponatinib-treated patients remain unknown. We systematically analyzed genetic alterations in adults with Ph-positive ALL uniformly treated in clinical trials with dasatinib-based regimens or a ponatinib-based regimen and investigated the molecular determinants for treatment outcomes using pretreatment specimens collected from adults with Ph-positive ALL treated with Hyper-CVAD plus dasatinib or ponatinib. DNA sequencing and SNP microarray were performed and recurrent genetic abnormalities were found in 84% of the patients, among whom IKZF1 deletion was most frequently detected (60%). IKZF1 deletion frequently co-occurred with other copy-number abnormalities (IKZF1plus, 46%) and was significantly associated with unfavorable overall survival (OS) (false discovery rate < 0.1) and increased cumulative incidence of relapse (p = 0.01). In a multivariate analysis, dasatinib therapy, lack of achievement of 3-month complete molecular response, and the presence of IKZF1plus status were significantly associated with poor OS. The differential impact of IKZF1plus was largely restricted to patients given Hyper-CVAD plus ponatinib; dasatinib-based regimens had unfavorable outcomes regardless of the molecular abnormalities.
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Affiliation(s)
- Yuya Sasaki
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hagop M Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas J Short
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Feng Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Oral and Maxillofacial Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan
| | - Hidetaka Uryu
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rebecca Garris
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nitin Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koji Sasaki
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Li Zhao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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10
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Tang M, Abbas HA, Negrao MV, Ramineni M, Hu X, Hubert SM, Fujimoto J, Reuben A, Varghese S, Zhang J, Li J, Chow CW, Mao X, Song X, Lee WC, Wu J, Little L, Gumbs C, Behrens C, Moran C, Weissferdt A, Lee JJ, Sepesi B, Swisher S, Cheng C, Kurie J, Gibbons D, Heymach JV, Wistuba II, Futreal PA, Kalhor N, Zhang J. The histologic phenotype of lung cancers is associated with transcriptomic features rather than genomic characteristics. Nat Commun 2021; 12:7081. [PMID: 34873156 PMCID: PMC8648877 DOI: 10.1038/s41467-021-27341-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 11/16/2021] [Indexed: 12/31/2022] Open
Abstract
Histology plays an essential role in therapeutic decision-making for lung cancer patients. However, the molecular determinants of lung cancer histology are largely unknown. We conduct whole-exome sequencing and microarray profiling on 19 micro-dissected tumor regions of different histologic subtypes from 9 patients with lung cancers of mixed histology. A median of 68.9% of point mutations and 83% of copy number aberrations are shared between different histologic components within the same tumors. Furthermore, different histologic components within the tumors demonstrate similar subclonal architecture. On the other hand, transcriptomic profiling reveals shared pathways between the same histologic subtypes from different patients, which is supported by the analyses of the transcriptomic data from 141 cell lines and 343 lung cancers of different histologic subtypes. These data derived from mixed histologic subtypes in the setting of identical genetic background and exposure history support that the histologic fate of lung cancer cells is associated with transcriptomic features rather than the genomic profiles in most tumors. The molecular determinants of lung cancer histologic subtypes are not well understood. Here the authors analyze lung cancers of mixed histology and find that histologic subtypes are associated with transcriptomic features rather than genomic profiles in most tumors.
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Affiliation(s)
- Ming Tang
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Hussein A Abbas
- Medical Oncology Fellowship, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Marcelo V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Maheshwari Ramineni
- Department of Pathology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Xin Hu
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Shawna Marie Hubert
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Susan Varghese
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jun Li
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Chi-Wan Chow
- Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Xizeng Mao
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Xingzhi Song
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Won-Chul Lee
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Jia Wu
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Latasha Little
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Carmen Behrens
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Cesar Moran
- Department of Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Annikka Weissferdt
- Department of Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - J Jack Lee
- Department of Biostatistics, Division of Basic Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Boris Sepesi
- Department of Thoracic Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Stephen Swisher
- Department of Thoracic Surgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Chao Cheng
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jonathan Kurie
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Don Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Ignacio I Wistuba
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.,Department of Translational Molecular Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Neda Kalhor
- Department of Pathology, Division of Pathology and Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
| | - Jianjun Zhang
- Department of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. .,Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
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11
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Tanaka T, Morita K, Loghavi S, Wang F, Furudate K, Sasaki Y, Little L, Gumbs C, Matthews J, Daver N, Pemmaraju N, DiNardo CD, Sasaki K, Yilmaz M, Kadia TM, Ravandi F, Konopleva MY, Kantarjian HM, Champlin RE, Al-Atrash G, Garcia-Manero G, Wang SA, Futreal PA, Takahashi K. Clonal dynamics and clinical implications of postremission clonal hematopoiesis in acute myeloid leukemia. Blood 2021; 138:1733-1739. [PMID: 34115096 PMCID: PMC8569418 DOI: 10.1182/blood.2020010483] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 05/13/2021] [Indexed: 11/20/2022] Open
Abstract
Although clonal hematopoiesis (CH) can precede the development of acute myeloid leukemia (AML), it can also persist after achieving remission. Long-term clonal dynamics and clinical implications of persistent CH are not well understood. Here, we studied the prevalence, dynamics, and clinical implications of postremission CH in 164 AML patients who attained complete remission after induction chemotherapies. Postremission CH was identified in 79 (48%) patients. Postremission CH persisted long term in 91% of the trackable patients despite treatment with various types of consolidation and maintenance therapies. Postremission CH was eradicated in 20 out of 21 (95%) patients who underwent allogeneic stem cell transplant. Although patients with postremission CH as a group had comparable hematopoiesis with those without it, patients with persistent TET2 mutations showed significant neutropenia long term. Postremission CH had little impact on relapse risk, nonrelapse mortality, and incidence of atherosclerotic cardiovascular disease, although the clinical impact of post-CR CH was heterogeneous among different mutations. These data suggest that although residual clonal hematopoietic stem cells are generally resistant to consolidation and maintenance therapies, they retain the ability to maintain normal hematopoiesis and have little impact on clinical outcomes. Larger study is needed to dissect the gene-specific heterogeneity.
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Affiliation(s)
| | | | | | - Feng Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ken Furudate
- Department of Leukemia
- Department of Oral and Maxillofacial Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan; and
| | | | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | | | | | | | | | - Richard E Champlin
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Gheath Al-Atrash
- Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Koichi Takahashi
- Department of Leukemia
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
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12
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Abbas HA, Hao D, Tomczak K, Barrodia P, Im JS, Reville PK, Alaniz Z, Wang W, Wang R, Wang F, Al-Atrash G, Takahashi K, Ning J, Ding M, Beird HC, Mathews JT, Little L, Zhang J, Basu S, Konopleva M, Marques-Piubelli ML, Solis LM, Parra ER, Lu W, Tamegnon A, Garcia-Manero G, Green MR, Sharma P, Allison JP, Kornblau SM, Rai K, Wang L, Daver N, Futreal A. Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy. Nat Commun 2021; 12:6071. [PMID: 34663807 PMCID: PMC8524723 DOI: 10.1038/s41467-021-26282-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 09/27/2021] [Indexed: 12/11/2022] Open
Abstract
In contrast to the curative effect of allogenic stem cell transplantation in acute myeloid leukemia via T cell activity, only modest responses are achieved with checkpoint-blockade therapy, which might be explained by T cell phenotypes and T cell receptor (TCR) repertoires. Here, we show by paired single-cell RNA analysis and TCR repertoire profiling of bone marrow cells in relapsed/refractory acute myeloid leukemia patients pre/post azacytidine+nivolumab treatment that the disease-related T cell subsets are highly heterogeneous, and their abundance changes following PD-1 blockade-based treatment. TCR repertoires expand and primarily emerge from CD8+ cells in patients responding to treatment or having a stable disease, while TCR repertoires contract in therapy-resistant patients. Trajectory analysis reveals a continuum of CD8+ T cell phenotypes, characterized by differential expression of granzyme B and a bone marrow-residing memory CD8+ T cell subset, in which a population with stem-like properties expressing granzyme K is enriched in responders. Chromosome 7/7q loss, on the other hand, is a cancer-intrinsic genomic marker of PD-1 blockade resistance in AML. In summary, our study reveals that adaptive T cell plasticity and genomic alterations determine responses to PD-1 blockade in acute myeloid leukemia.
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Affiliation(s)
- Hussein A. Abbas
- grid.240145.60000 0001 2291 4776Division of Cancer Medicine, Medical Oncology Fellowship, University of Texas M D Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Dapeng Hao
- grid.240145.60000 0001 2291 4776Division of Cancer Medicine, Medical Oncology Fellowship, University of Texas M D Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Katarzyna Tomczak
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Praveen Barrodia
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Jin Seon Im
- grid.240145.60000 0001 2291 4776Department of Stem Cell Transplantation and Cellular Therapy, University of Texas MD Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Patrick K. Reville
- grid.240145.60000 0001 2291 4776Division of Cancer Medicine, Medical Oncology Fellowship, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Zoe Alaniz
- grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Wei Wang
- grid.240145.60000 0001 2291 4776Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Ruiping Wang
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Feng Wang
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Gheath Al-Atrash
- grid.240145.60000 0001 2291 4776Department of Stem Cell Transplantation and Cellular Therapy, University of Texas MD Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Koichi Takahashi
- grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Jing Ning
- grid.240145.60000 0001 2291 4776Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Maomao Ding
- grid.240145.60000 0001 2291 4776Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX USA ,grid.21940.3e0000 0004 1936 8278Department of Statistics, Rice University, Houston, TX USA
| | - Hannah C. Beird
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Jairo T. Mathews
- grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Latasha Little
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Jianhua Zhang
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Sreyashi Basu
- grid.240145.60000 0001 2291 4776Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Marina Konopleva
- grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Mario L. Marques-Piubelli
- grid.240145.60000 0001 2291 4776Department Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Luisa M. Solis
- grid.240145.60000 0001 2291 4776Department Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Edwin Roger Parra
- grid.240145.60000 0001 2291 4776Department Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Wei Lu
- grid.240145.60000 0001 2291 4776Department Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Auriole Tamegnon
- grid.240145.60000 0001 2291 4776Department Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Guillermo Garcia-Manero
- grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Michael R. Green
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Department of Lymphoma and Myeloma, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Padmanee Sharma
- grid.240145.60000 0001 2291 4776Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - James P. Allison
- grid.240145.60000 0001 2291 4776Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Steven M. Kornblau
- grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Kunal Rai
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA
| | - Linghua Wang
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Naval Daver
- grid.240145.60000 0001 2291 4776Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Andrew Futreal
- grid.240145.60000 0001 2291 4776Department of Genomic Medicine, University of Texas M D Anderson Cancer Center, Houston, TX USA ,grid.240145.60000 0001 2291 4776Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX USA
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13
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Andrews MC, Duong CPM, Gopalakrishnan V, Iebba V, Chen WS, Derosa L, Khan MAW, Cogdill AP, White MG, Wong MC, Ferrere G, Fluckiger A, Roberti MP, Opolon P, Alou MT, Yonekura S, Roh W, Spencer CN, Curbelo IF, Vence L, Reuben A, Johnson S, Arora R, Morad G, Lastrapes M, Baruch EN, Little L, Gumbs C, Cooper ZA, Prieto PA, Wani K, Lazar AJ, Tetzlaff MT, Hudgens CW, Callahan MK, Adamow M, Postow MA, Ariyan CE, Gaudreau PO, Nezi L, Raoult D, Mihalcioiu C, Elkrief A, Pezo RC, Haydu LE, Simon JM, Tawbi HA, McQuade J, Hwu P, Hwu WJ, Amaria RN, Burton EM, Woodman SE, Watowich S, Diab A, Patel SP, Glitza IC, Wong MK, Zhao L, Zhang J, Ajami NJ, Petrosino J, Jenq RR, Davies MA, Gershenwald JE, Futreal PA, Sharma P, Allison JP, Routy B, Zitvogel L, Wargo JA. Gut microbiota signatures are associated with toxicity to combined CTLA-4 and PD-1 blockade. Nat Med 2021; 27:1432-1441. [PMID: 34239137 DOI: 10.1038/s41591-021-01406-6] [Citation(s) in RCA: 199] [Impact Index Per Article: 66.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 05/25/2021] [Indexed: 02/06/2023]
Abstract
Treatment with combined immune checkpoint blockade (CICB) targeting CTLA-4 and PD-1 is associated with clinical benefit across tumor types, but also a high rate of immune-related adverse events. Insights into biomarkers and mechanisms of response and toxicity to CICB are needed. To address this, we profiled the blood, tumor and gut microbiome of 77 patients with advanced melanoma treated with CICB, with a high rate of any ≥grade 3 immune-related adverse events (49%) with parallel studies in pre-clinical models. Tumor-associated immune and genomic biomarkers of response to CICB were similar to those identified for ICB monotherapy, and toxicity from CICB was associated with a more diverse peripheral T-cell repertoire. Profiling of gut microbiota demonstrated a significantly higher abundance of Bacteroides intestinalis in patients with toxicity, with upregulation of mucosal IL-1β in patient samples of colitis and in pre-clinical models. Together, these data offer potential new therapeutic angles for targeting toxicity to CICB.
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Affiliation(s)
- Miles C Andrews
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Olivia Newton-John Cancer Research Institute and La Trobe University School of Cancer Medicine, Heidelberg, Victoria, Australia
- Deparment of Medicine, Monash University, Melbourne, Victoria, Australia
| | - Connie P M Duong
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | | | - Valerio Iebba
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
| | - Wei-Shen Chen
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Dermatology, University of South Florida Morsani College of Medicine, Tampa, FL, USA
| | - Lisa Derosa
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Md Abdul Wadud Khan
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandria P Cogdill
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael G White
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matthew C Wong
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gladys Ferrere
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Aurélie Fluckiger
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Maria P Roberti
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Paule Opolon
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
| | - Maryam Tidjani Alou
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Satoru Yonekura
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Whijae Roh
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christine N Spencer
- Department of Informatics, Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Irina Fernandez Curbelo
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luis Vence
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandre Reuben
- Department of Thoracic Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sarah Johnson
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Reetakshi Arora
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Golnaz Morad
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matthew Lastrapes
- MD Anderson Cancer Center University of Texas Health Graduate School of Biomedical Sciences (GSBS), Houston, TX, USA
| | - Erez N Baruch
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Peter A Prieto
- Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA
| | - Khalida Wani
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander J Lazar
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael T Tetzlaff
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Courtney W Hudgens
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Margaret K Callahan
- Department of Informatics, Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew Adamow
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Division of Immunology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael A Postow
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Division of Immunology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charlotte E Ariyan
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Pierre-Olivier Gaudreau
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luigi Nezi
- Istituto Europeo di Oncologia, Milan, Italy
| | - Didier Raoult
- Aix-Marseille Université, MEPHI, IRD, IHU Méditerranée Infection, Marseille, France
| | - Catalin Mihalcioiu
- Department of Medicine, Faculty of Medicine and Health Sciences, McGill University Health Centre, Montreal, Quebec, Canada
| | - Arielle Elkrief
- Cedars Cancer Center, McGill University Health Centre, Montreal, Quebec, Canada
| | - Rossanna C Pezo
- Division of Medical Oncology, University of Toronto, Sunnybrook Odette Cancer Centre, Toronto, Ontario, Canada
| | - Lauren E Haydu
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Julie M Simon
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hussein A Tawbi
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer McQuade
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Patrick Hwu
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wen-Jen Hwu
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rodabe N Amaria
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elizabeth M Burton
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Scott E Woodman
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephanie Watowich
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Adi Diab
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sapna P Patel
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Isabella C Glitza
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael K Wong
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Li Zhao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nadim J Ajami
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Joseph Petrosino
- Department of Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Robert R Jenq
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael A Davies
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Padmanee Sharma
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James P Allison
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bertrand Routy
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Laurence Zitvogel
- Gustave Roussy Cancer Campus (GRCC), Villejuif, France.
- Institut National de la Santé Et de la Recherche Medicale (INSERM) U1015, Equipe Labellisée-Ligue Nationale contre le Cancer, Villejuif, France.
- Université Paris-Saclay, Faculté de Médecine Kremlin-Bicêtre, Le Kremlin-Bicêtre, France.
| | - Jennifer A Wargo
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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14
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Dejima H, Hu X, Chen R, Zhang J, Fujimoto J, Parra ER, Haymaker C, Hubert SM, Duose D, Solis LM, Su D, Fukuoka J, Tabata K, Pham HHN, Mcgranahan N, Zhang B, Ye J, Ying L, Little L, Gumbs C, Chow CW, Estecio MR, Godoy MCB, Antonoff MB, Sepesi B, Pass HI, Behrens C, Zhang J, Vaporciyan AA, Heymach JV, Scheet P, Lee JJ, Wu J, Futreal PA, Reuben A, Kadara H, Wistuba II, Zhang J. Immune evolution from preneoplasia to invasive lung adenocarcinomas and underlying molecular features. Nat Commun 2021; 12:2722. [PMID: 33976164 PMCID: PMC8113327 DOI: 10.1038/s41467-021-22890-x] [Citation(s) in RCA: 64] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 03/31/2021] [Indexed: 12/13/2022] Open
Abstract
The mechanism by which anti-cancer immunity shapes early carcinogenesis of lung adenocarcinoma (ADC) is unknown. In this study, we characterize the immune contexture of invasive lung ADC and its precursors by transcriptomic immune profiling, T cell receptor (TCR) sequencing and multiplex immunofluorescence (mIF). Our results demonstrate that anti-tumor immunity evolved as a continuum from lung preneoplasia, to preinvasive ADC, minimally-invasive ADC and frankly invasive lung ADC with a gradually less effective and more intensively regulated immune response including down-regulation of immune-activation pathways, up-regulation of immunosuppressive pathways, lower infiltration of cytotoxic T cells (CTLs) and anti-tumor helper T cells (Th), higher infiltration of regulatory T cells (Tregs), decreased T cell clonality, and lower frequencies of top T cell clones in later-stages. Driver mutations, chromosomal copy number aberrations (CNAs) and aberrant DNA methylation may collectively impinge host immune responses and facilitate immune evasion, promoting the outgrowth of fit subclones in preneoplasia into dominant clones in invasive ADC.
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Affiliation(s)
- Hitoshi Dejima
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xin Hu
- Department of Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Runzhe Chen
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiexin Zhang
- Department of Bioinformatics & Computational Biology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Edwin R Parra
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cara Haymaker
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shawna M Hubert
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dzifa Duose
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luisa M Solis
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dan Su
- Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China.,Department of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Junya Fukuoka
- Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Kazuhiro Tabata
- Department of Pathology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Hoa H N Pham
- Department of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Nicholas Mcgranahan
- Cancer Research United Kingdom-University College London Lung Cancer Centre of Excellence, London, UK
| | - Baili Zhang
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jie Ye
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lisha Ying
- Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Hangzhou, China.,Zhejiang Cancer Research Institute, Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, China
| | - Latasha Little
- Department of Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chi-Wan Chow
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcos Roberto Estecio
- Department of Epigenetics and Molecular Carcinogenesis, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Center of Cancer Epigenetics, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Myrna C B Godoy
- Department of Thoracic Imaging, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mara B Antonoff
- Department of Thoracic and Cardiovascular Surgery, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Harvey I Pass
- Department of Cardiothoracic Surgery, New York University Langone Medical Center, New York, NY, USA
| | - Carmen Behrens
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ara A Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Jack Lee
- Department of Biostatistics, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jia Wu
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Humam Kadara
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Jianjun Zhang
- Department of Genomic Medicine, the University of Texas MD Anderson Cancer Center, Houston, TX, USA. .,Department of Thoracic/Head and Neck Medical Oncology, the University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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15
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Morita K, Wang F, Jahn K, Hu T, Tanaka T, Sasaki Y, Kuipers J, Loghavi S, Wang SA, Yan Y, Furudate K, Matthews J, Little L, Gumbs C, Zhang J, Song X, Thompson E, Patel KP, Bueso-Ramos CE, DiNardo CD, Ravandi F, Jabbour E, Andreeff M, Cortes J, Bhalla K, Garcia-Manero G, Kantarjian H, Konopleva M, Nakada D, Navin N, Beerenwinkel N, Futreal PA, Takahashi K. Author Correction: Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun 2021; 12:2823. [PMID: 33972555 PMCID: PMC8110810 DOI: 10.1038/s41467-021-23280-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- Kiyomi Morita
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Hematology and Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Feng Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katharina Jahn
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. .,SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
| | - Tianyuan Hu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Tomoyuki Tanaka
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuya Sasaki
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jack Kuipers
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.,SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sa A Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuanqing Yan
- Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Oral and Maxillofacial Surgery, Hirosaki University Graduate School of Medicine, Aomori, Japan
| | - Jairo Matthews
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Erika Thompson
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keyur P Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos E Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Courtney D DiNardo
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Andreeff
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jorge Cortes
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kapil Bhalla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Hagop Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daisuke Nakada
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas Navin
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Niko Beerenwinkel
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. .,SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. .,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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16
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Abbas HA, Reville PK, Jiang X, Yang H, Reuben A, Im JS, Little L, Sinson JC, Chen K, Futreal A, Garcia-Manero G. Response to Hypomethylating Agents in Myelodysplastic Syndrome Is Associated With Emergence of Novel TCR Clonotypes. Front Immunol 2021; 12:659625. [PMID: 33912187 PMCID: PMC8072464 DOI: 10.3389/fimmu.2021.659625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/15/2021] [Indexed: 11/24/2022] Open
Abstract
Aberrant T-cell function is implicated in the pathogenesis of myelodysplastic syndrome (MDS). Monitoring the T-cell receptor (TCR) repertoire can provide insights into T-cell adaptive immunity. Previous studies found skewed TCR repertoires in MDS compared to healthy patients; however these studies that leverage mRNA-based spectratyping have limitations. Furthermore, evaluating the TCR repertoire in context of hypomethylating agents (HMAs) treatment can provide insights into the dynamics of T-cell mediated responses in MDS. We conducted immunosequencing of the CDR3 regions of TCRβ chains in bone marrows of 11 MDS patients prior to treatment (n=11 bone marrows prior to treatment), and in at least 2 timepoints for each patient following treatment (n=26 bone marrow aspirates post-treatment) with (HMA), alongside analyzing bone marrows from 4 healthy donors as controls. TCR repertoires in MDS patients were more clonal and less diverse than healthy donors. However, unlike previous reports, we did not observe significant skewness in CDR3 length or spectratyping. The global metrics of TCR profiling including richness, clonality, overlaps were not significantly changed in responders or non-responders following treatment with HMAs. However, we found an emergence of novel clonotypes in MDS patients who responded to treatment, while non-responders had a higher frequency of contracted clonotypes following treatment. By applying GLIPH2 for antigen prediction, we found rare TCR specificity clusters shared by TCR clonotypes from different patients at pre- or following treatment. Our data show clear differences in TCR repertoires of MDS compared with healthy patients and that novel TCR clonotype emergence in response to HMA therapy was correlated with response. This suggests that response to HMA therapy may be partially driven by T-cell mediated immunity and that the immune-based therapies, which target the adaptive immune system, may play a significant role in select patients with MDS.
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Affiliation(s)
- Hussein A Abbas
- Division of Cancer Medicine, Medical Oncology Fellowship, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Patrick K Reville
- Division of Cancer Medicine, Medical Oncology Fellowship, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Xianli Jiang
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Hui Yang
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Alexandre Reuben
- Department of Thoracic/Head & Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jin Seon Im
- Department of Stem Cell Transplantation and Cellular Therapy, University of Texas MD Anderson Cancer Center, Houston, TX, United States.,Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Jefferson C Sinson
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ken Chen
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Andrew Futreal
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Guillermo Garcia-Manero
- Department of Leukemia, University of Texas MD Anderson Cancer Center, Houston, TX, United States
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17
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Abbas HA, Hao D, Tomczak K, Barrodia P, Im JS, Reville PK, Al-Atrash G, Ning J, Ding M, Mathews JT, Little L, Zhang J, Basu S, Konopleva M, Garcia-Manero G, Green MR, Sharma P, Allison JP, Kornblau SM, Rai K, Wang L, Daver N, Futreal A. Abstract PR003: Single-cell profiling of acute myeloid leukemia (AML) and its microenvironment reveals a CD8 continuum and adaptable T cell plasticity in response to PD-1 blockade-based therapy. Cancer Immunol Res 2021. [DOI: 10.1158/2326-6074.tumimm20-pr003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Allogeneic hematopoietic stem cell transplantation (ASCT) remains the only curative option for patients with relapsed/refractory (R/R) AML, achieved via the grafted T cells versus leukemia effect. Since ASCT is not viable option to many AML patients, our group investigated (NCT02397720) whether T cells can be harnessed to eradicate R/R AML by combining azacitidine, a hypomethylating agent, and nivolumab, a PD-1 blocker. The tumor microenvironment (TME) factors impacting response and resistance to PD-1 blockade-based treatment in AML is unknown. Methods: We performed single cell RNA sequencing (scRNAseq) of 13,633 healthy bone marrow (BM) donor, and 113,394 BM cells, paired with >30,000 single cell T cell receptor (scTCR) repertoires, from 22 aspirates (8 pre- and 14 post- treatment) from 8 R/R AML patients (median age 73 years) treated with azacitidine/nivolumab. 3/8 patients were responders, while 2/8 and 3/8 had stable disease, and no response, respectively. Results: We identified marked variation in the T cell components across AML patients at pre- and post- treatment, demonstrating significant dynamic changes in CD4, CD8 and non-classical T cells populations, including mucosal associated invariant T (MAIT) cells. Among CD8 cells, we identified a unique GZMK-enriched population that was higher at pretreatment in responders compared to non-responders. Pseudotemporal trajectory analysis revealed a continuum of CD8 cell states that is intermediated by the less exhausted, GZMK-enriched CD8 population. We similarly identified GZMK to discriminate between 2 MAIT populations. Further characterization of GZMK-enriched cells revealed increased expression of the stem-like T cell transcription factor TCF7, and the T cell memory transcription factor EOMES. Pathway enrichment of the 33 overlapping genes in the GZMK-enriched CD8 and MAIT versus cytotoxic T lymphocyte (CD8 CTL) signatures demonstrated highest enrichment for pathways involved in leukocyte differentiation, calcium signaling, and cytokine production. scTCR clonotype assessment revealed more shared clonotypes with the terminally effector CD8 CTL cells following PD-1 blockade. Following treatment, novel clones represented 38.7% (39/101) of total clones, followed by contracted clones (32.6%) and expanded (28.7%) clones. However, 76.9% and 72.4% of novel and expanded clones were contributed by the responders. On the other hand, non-responders contributed only 5% and 3.4% of the novel and expanded clones, respectively. Conclusion: We identified a CD8 continuum in BMs of patients with AML. The response to combined azacitidine/nivolumab is driven by emergence of novel clones and expansion of prior clones demonstrating T cell plasticity and adaptability. Our results demonstrate that the subverted T cells can be reinvigorated via PD-1 blockade and elicit responses in AML and warrants further functional characterization of GZMK expressing lymphocytes in mediating antileukemic responses.
This abstract is also being presented as PO059.
Citation Format: Hussein A. Abbas, Dapeng Hao, Katarzyna Tomczak, Praveen Barrodia, Jin Seon Im, Patrick K. Reville, Gheath Al-Atrash, Jing Ning, Maomao Ding, Jairo T. Mathews, Latasha Little, Jianhua Zhang, Sreyashi Basu, Marina Konopleva, Guillermo Garcia-Manero, Michael R. Green, Padmanee Sharma, James P. Allison, Steven M. Kornblau, Kunal Rai, Linghua Wang, Naval Daver, Andrew Futreal. Single-cell profiling of acute myeloid leukemia (AML) and its microenvironment reveals a CD8 continuum and adaptable T cell plasticity in response to PD-1 blockade-based therapy [abstract]. In: Abstracts: AACR Virtual Special Conference: Tumor Immunology and Immunotherapy; 2020 Oct 19-20. Philadelphia (PA): AACR; Cancer Immunol Res 2021;9(2 Suppl):Abstract nr PR003.
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Affiliation(s)
- Hussein A. Abbas
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dapeng Hao
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Praveen Barrodia
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jin Seon Im
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Gheath Al-Atrash
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Ning
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Maomao Ding
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jairo T. Mathews
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sreyashi Basu
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Michael R. Green
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Padmanee Sharma
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - James P. Allison
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Kunal Rai
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linghua Wang
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Naval Daver
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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18
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Morita K, Wang F, Jahn K, Hu T, Tanaka T, Sasaki Y, Kuipers J, Loghavi S, Wang SA, Yan Y, Furudate K, Matthews J, Little L, Gumbs C, Zhang J, Song X, Thompson E, Patel KP, Bueso-Ramos CE, DiNardo CD, Ravandi F, Jabbour E, Andreeff M, Cortes J, Bhalla K, Garcia-Manero G, Kantarjian H, Konopleva M, Nakada D, Navin N, Beerenwinkel N, Futreal PA, Takahashi K. Publisher Correction: Clonal evolution of acute myeloid leukemia revealed by high-throughput single-cell genomics. Nat Commun 2020; 11:5996. [PMID: 33214561 PMCID: PMC7677309 DOI: 10.1038/s41467-020-19902-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-19902-7.
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Affiliation(s)
- Kiyomi Morita
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Hematology and Oncology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Feng Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Katharina Jahn
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.,SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Tianyuan Hu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Tomoyuki Tanaka
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuya Sasaki
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jack Kuipers
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.,SIB Swiss Institute of Bioinformatics, Basel, Switzerland
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sa A Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yuanqing Yan
- Department of Neurosurgery, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Oral and Maxillofacial Surgery, Hirosaki University Graduate School of Medicine, Aomori, Japan
| | - Jairo Matthews
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Erika Thompson
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keyur P Patel
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos E Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Courtney D DiNardo
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Andreeff
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jorge Cortes
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kapil Bhalla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Hagop Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daisuke Nakada
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Nicholas Navin
- Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Niko Beerenwinkel
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. .,SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. .,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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19
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Lee WC, Reuben A, Hu X, McGranahan N, Chen R, Jalali A, Negrao MV, Hubert SM, Tang C, Wu CC, Lucas AS, Roh W, Suda K, Kim J, Tan AC, Peng DH, Lu W, Tang X, Chow CW, Fujimoto J, Behrens C, Kalhor N, Fukumura K, Coyle M, Thornton R, Gumbs C, Li J, Wu CJ, Little L, Roarty E, Song X, Lee JJ, Sulman EP, Rao G, Swisher S, Diao L, Wang J, Heymach JV, Huse JT, Scheet P, Wistuba II, Gibbons DL, Futreal PA, Zhang J, Gomez D, Zhang J. Multiomics profiling of primary lung cancers and distant metastases reveals immunosuppression as a common characteristic of tumor cells with metastatic plasticity. Genome Biol 2020; 21:271. [PMID: 33148332 PMCID: PMC7640699 DOI: 10.1186/s13059-020-02175-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 10/05/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Metastasis is the primary cause of cancer mortality accounting for 90% of cancer deaths. Our understanding of the molecular mechanisms driving metastasis is rudimentary. RESULTS We perform whole exome sequencing (WES), RNA sequencing, methylation microarray, and immunohistochemistry (IHC) on 8 pairs of non-small cell lung cancer (NSCLC) primary tumors and matched distant metastases. Furthermore, we analyze published WES data from 35 primary NSCLC and metastasis pairs, and transcriptomic data from 4 autopsy cases with metastatic NSCLC and one metastatic lung cancer mouse model. The majority of somatic mutations are shared between primary tumors and paired distant metastases although mutational signatures suggest different mutagenesis processes in play before and after metastatic spread. Subclonal analysis reveals evidence of monoclonal seeding in 41 of 42 patients. Pathway analysis of transcriptomic data reveals that downregulated pathways in metastases are mainly immune-related. Further deconvolution analysis reveals significantly lower infiltration of various immune cell types in metastases with the exception of CD4+ T cells and M2 macrophages. These results are in line with lower densities of immune cells and higher CD4/CD8 ratios in metastases shown by IHC. Analysis of transcriptomic data from autopsy cases and animal models confirms that immunosuppression is also present in extracranial metastases. Significantly higher somatic copy number aberration and allelic imbalance burdens are identified in metastases. CONCLUSIONS Metastasis is a molecularly late event, and immunosuppression driven by different molecular events, including somatic copy number aberration, may be a common characteristic of tumors with metastatic plasticity.
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Affiliation(s)
- Won-Chul Lee
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Xin Hu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Runzhe Chen
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ali Jalali
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shawna M Hubert
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chad Tang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chia-Chin Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anthony San Lucas
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Whijae Roh
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kenichi Suda
- Department of Thoracic Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
| | - Jihye Kim
- Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Aik-Choon Tan
- Department of Biostatistics and Bioinformatics, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Wei Lu
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ximing Tang
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chi-Wan Chow
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carmen Behrens
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Neda Kalhor
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kazutaka Fukumura
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcus Coyle
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rebecca Thornton
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jun Li
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chang-Jiun Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Emily Roarty
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Erik P Sulman
- New York University Langone School of Medicine, New York, NY, USA
| | - Ganesh Rao
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen Swisher
- Department of Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason T Huse
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Daniel Gomez
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Current Address: Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Jianjun Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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20
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Gaudreau PO, Negrao MV, Mitchell KG, Reuben A, Corsini EM, Li J, Karpinets TV, Wang Q, Diao L, Wang J, Federico L, Parra-Cuentas ER, Khairullah R, Behrens C, Correa AM, Gomez D, Little L, Gumbs C, Kadara HN, Fujimoto J, McGrail DJ, Vaporciyan AA, Swisher SG, Walsh G, Antonoff MB, Weissferdt A, Tran H, Roarty E, Haymaker C, Bernatchez C, Zhang J, Futreal PA, Wistuba II, Cascone T, Heymach JV, Sepesi B, Zhang J, Gibbons DL. Neoadjuvant Chemotherapy Increases Cytotoxic T Cell, Tissue Resident Memory T Cell, and B Cell Infiltration in Resectable NSCLC. J Thorac Oncol 2020; 16:127-139. [PMID: 33096269 DOI: 10.1016/j.jtho.2020.09.027] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 07/31/2020] [Accepted: 09/18/2020] [Indexed: 12/26/2022]
Abstract
INTRODUCTION The combination of programmed cell death protein-1 or programmed death-ligand 1 immune checkpoint blockade and chemotherapy has revolutionized the treatment of advanced NSCLC, but the mechanisms underlying this synergy remain incompletely understood. In this study, we explored the relationships between neoadjuvant chemotherapy and the immune microenvironment (IME) of resectable NSCLC to identify novel mechanisms by which chemotherapy may enhance the effect of immune checkpoint blockade. METHODS Genomic, transcriptomic, and immune profiling data of 511 patients treated with neoadjuvant chemotherapy followed by surgery (NCT) versus upfront surgery (US) were compared with determined differential characteristics of the IMEs derived from whole-exome sequencing (NCT = 18; US = 73), RNA microarray (NCT = 45; US = 202), flow cytometry (NCT = 17; US = 39), multiplex immunofluorescence (NCT = 10; US = 72), T-cell receptor sequencing (NCT = 16 and US = 63), and circulating cytokines (NCT = 18; US = 73). RESULTS NCT was associated with increased infiltration of cytotoxic CD8+ T cells and CD20+ B cells. Moreover, NCT was associated with increases in CD8+CD103+ and CD4+CD103+PD-1+TIM3- tissue resident memory T cells. Gene expression profiling supported memory function of CD8+ and CD4+ T cells. However, NCT did not affect T-cell receptor clonality, richness, or tumor mutational burden. Finally, NCT was associated with decreased plasma BDNF (TrkB) at baseline and week 4 after surgery. CONCLUSIONS Our study supports that, in the context of resectable NSCLC, neoadjuvant chemotherapy promotes antitumor immunity through T and B cell recruitment in the IME and through a phenotypic change toward cytotoxic and memory CD8+ and CD4+ memory helper T cells.
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Affiliation(s)
- Pierre-Olivier Gaudreau
- Department of Oncology, Queens' University and the Canadian Cancer Trials Group, Kingston, Ontario, Canada
| | - Marcelo V Negrao
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kyle G Mitchell
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alexandre Reuben
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Erin M Corsini
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jun Li
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tatiana V Karpinets
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Qi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lorenzo Federico
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Edwin R Parra-Cuentas
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Roohussaba Khairullah
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carmen Behrens
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Arlene M Correa
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Daniel Gomez
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Humam N Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Daniel J McGrail
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Ara A Vaporciyan
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stephen G Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Garrett Walsh
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Mara B Antonoff
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Annikka Weissferdt
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hai Tran
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Emily Roarty
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Cara Haymaker
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chantale Bernatchez
- Biologics Development Department, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Tina Cascone
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - John V Heymach
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jianjun Zhang
- Department of Thoracic and Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Don L Gibbons
- Department of Oncology, Queens' University and the Canadian Cancer Trials Group, Kingston, Ontario, Canada; Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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21
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Beaumont A, McSorley L, Matthews M, Mooneesawmy K, Little L, Forss JR. Does the application of Opsite ⋄ Flexigrid ⋄ occlude the oxygen saturation readings in healthy individuals using the moorVMS-OXY machine? J Foot Ankle Res 2020; 13:22. [PMID: 32398114 PMCID: PMC7216319 DOI: 10.1186/s13047-020-00391-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 05/06/2020] [Indexed: 11/10/2022] Open
Abstract
Background A proportion of people who have been diagnosed with peripheral arterial disease and diabetes mellitus will be susceptible to chronic wounds. Oxygen is vital for wound healing, so oxygen measurements should to be taken as predictive values for wound healing in patients. When measuring oxygen at the wound bed, there is potentially a risk of cross-infection if no protective barrier is used; and skin stripping if an adhesive barrier is used on the wound bed. This cross sectional within subject repeated measures pilot study, aims to determine if the application of opsite film, as an infection control measure, in one or two layers, impacts on tissue oxygenation readings obtained when using the MoorVMS-OXY. Methods Mean oxygen saturation percentages were measured from 29 limbs of 18 healthy participants. Oxygen saturation was measured for 20 s and analysed at the first metatarsophalangeal joint using no film, one and two layers using the MoorVMS-OXY. A one-way repeated ANOVA with a Bonferroni post hoc test was performed to test for statistically significant differences between the values of the three parameters and multiple pairwise comparisons was completed. Results Amongst the three layers, there was a statistically significant difference in oxygen saturation between the two layers of Opsite Flexigrid and none; and also between the two layers of Flexigrid and single layer (p < 0.05). It was also established that there was no statistically significant difference between the single layer of Opsite Flexigrid and no Flexigrid layer (p > 0.05). Conclusions The results imply that one layer of Opsite Flexigrid is a suitable protective barrier to use when establishing capillary bed oxygen perfusion with the MoorVMS-OXY. However, the application of two Opsite Flexigrid layers, to prevent skin stripping, decreases the recorded values of oxygen saturation percentages significantly, therefore providing inaccurate results. Indicating that a double layer cannot be used over ulceration sites if measuring oxygen levels at the wound bed.
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Affiliation(s)
- A Beaumont
- Centre for Regenerative Medicine and Devices, University of Brighton, 49 Darley Road, Eastbourne, BN20 7UR, UK
| | - L McSorley
- Centre for Regenerative Medicine and Devices, University of Brighton, 49 Darley Road, Eastbourne, BN20 7UR, UK
| | - M Matthews
- Centre for Regenerative Medicine and Devices, University of Brighton, 49 Darley Road, Eastbourne, BN20 7UR, UK
| | - K Mooneesawmy
- Centre for Regenerative Medicine and Devices, University of Brighton, 49 Darley Road, Eastbourne, BN20 7UR, UK
| | - L Little
- Centre for Regenerative Medicine and Devices, University of Brighton, 49 Darley Road, Eastbourne, BN20 7UR, UK
| | - J R Forss
- Centre for Regenerative Medicine and Devices, University of Brighton, 49 Darley Road, Eastbourne, BN20 7UR, UK.
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22
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Corsini EM, Wang J, Wu CC, Fujimoto J, Negrao MV, Chen R, Quek K, Mitchell KG, Chow CWB, Little L, Gumbs C, Song X, Behrens C, Correa AM, Antonoff MB, Swisher SG, Heymach JV, Zhang J, Wistuba II, Futreal PA, Sepesi B, Zhang J. Genomic assessment distinguishes intrapulmonary metastases from synchronous primary lung cancers. J Thorac Dis 2020; 12:1952-1959. [PMID: 32642098 PMCID: PMC7330333 DOI: 10.21037/jtd-20-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Background Multiple synchronous lung tumors (MSLT), particularly within a single lobe, represent a diagnostic and treatment challenge. While histologic assessment was once the only method to possibly distinguish multiple primary lung cancers, there is a growing interest in identifying unique genomic features or mutations to best characterize these processes. Methods In order to differentiate multiple primary lung malignancies from intrapulmonary metastases in patients with MSLT, we performed whole exome sequencing (WES) on 10 tumor samples from 4 patients with MSLT. Results Shared mutations between tumors from the same patient varied from 0-91%. Patient 3 shared no common mutations; however, in Patients 2 and 4, identical mutations were identified among all tumors from each patient, suggesting that the three tumors identified in Patient 3 represent separate primary lung cancers, while those of Patients 1, 2 and 4 signify hematogenous and lymphatic spread. Conclusions A high proportion of shared mutations between different lung tumors is likely indicative of intrapulmonary metastatic disease, while tumors with distinct genomic profiles likely represent multiple primary malignancies driven by distinct molecular events. Application of genomic profiling in the clinical setting may prove to be important to precise management of patients with MSLT.
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Affiliation(s)
- Erin M Corsini
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jinliang Wang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Medical Oncology, Chinese PLA General Hospital, Beijing 100853, China
| | - Chia-Chin Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marcelo V Negrao
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Runzhe Chen
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kelly Quek
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kyle G Mitchell
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chi-Wan B Chow
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carmen Behrens
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Arlene M Correa
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mara B Antonoff
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen G Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic/Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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23
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McInnes L, Jones E, Rochester L, Lord S, Chastin SFM, Watson AW, Little L, Briggs P. Mobility in Community Dwelling Older Adults: Predicting Successful Mobility Using an Instrumented Battery of Novel Measures. J Frailty Aging 2020; 9:68-73. [PMID: 32259179 DOI: 10.14283/jfa.2019.35] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Mobility in older adults is associated with better quality of life. However, evidence suggests that older people spend less time out-of-home than younger adults. Traditional methods for assessing mobility have serious limitations. Wearable technologies provide the possibility of objectively assessing mobility over extended periods enabling better estimates of levels of mobility to be made and possible predictors to be explored. Eighty-six community dwelling older adults (mean age 79.8 years) had their mobility assessed for one week using GPS, accelerometry and self-report. Outcomes were: number of steps, time spent in dynamic outdoor activity, total distance travelled and total number of journeys made over the week. Assessments were also made of personal, cognitive, psychological, physical and social variables. Four regression models were calculated (one for each outcome). The models predicted 32 to 43% of the variance in levels of mobility. The ability to balance on one leg significantly predicted all four outcomes. In addition, cognitive ability predicted number of journeys made per week and time spent engaged in dynamic outdoor activity, and age significantly predicted total distance travelled. Overall estimates of mobility indicated step counts that were similar to those shown by previous research but distances travelled, measured by GPS, were lower. These findings suggest that mobility in this sample of older adults is predicted by the ability to balance on one leg. Possible interventions to improve out-of-home mobility could target balance. The fact that participants travelled shorter distances than those reported in previous studies is interesting since this high-functioning subgroup would be expected to demonstrate the highest levels.
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Affiliation(s)
- L McInnes
- Lynn McInnes, Department of Psychology, Northumberland Building, Northumbria University, Newcastle upon Tyne, NE1 8ST, Tel: +44 1912273238,
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24
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Tang C, Lee WC, Reuben A, Chang L, Tran H, Little L, Gumbs C, Wargo J, Futreal A, Liao Z, Xia X, Yi X, Swisher SG, Heymach JV, Gomez D, Zhang J. Immune and Circulating Tumor DNA Profiling After Radiation Treatment for Oligometastatic Non-Small Cell Lung Cancer: Translational Correlatives from a Mature Randomized Phase II Trial. Int J Radiat Oncol Biol Phys 2020; 106:349-357. [DOI: 10.1016/j.ijrobp.2019.10.038] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 10/02/2019] [Accepted: 10/10/2019] [Indexed: 12/31/2022]
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25
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Chen R, Jin Y, Li J, Zhang J, Fujimoto J, Lee W, Hu X, Chen Y, Behrens C, Chow C, Parra E, Little L, Gumbs C, Song X, Roarty E, Zhang J, Gibbons D, Heymach J, Lee J, William W, Glisson B, Wistuba I, Futreal P, Byers L, Reuben A, Chen M, Zhang J. OA15.04 Genomic and TCR Intratumor Heterogeneity of Small-Cell Lung Cancer by Multiregion Sequencing: An Association with Survival. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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26
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Morita K, Wang F, Jahn K, Yan Y, Durruthy-Durruthy R, Parikh A, Matthews J, Little L, Gumbs C, Zhang J, Song X, Thompson E, Patel K, Bueso-Ramos C, DiNardo C, Ravandi F, Jabbour E, Andreeff M, Cortes J, Konopleva M, Garcia-Manero G, Kantarjian H, Eastburn DJ, Futreal PA, Beerenwinkel N, Takahashi K. Abstract 2725: The single-cell atlas of driver mutations in acute myeloid leukemia. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-2725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Assessment of intratumor genetic heterogeneity by next-generation sequencing (NGS) is confounded by tumor purity and zygosity of mutations. Furthermore, bulk NGS cannot visualize the cell-level co-occurrence or exclusivity among multiple mutations, causing the inaccurate inference of subclonal architecture. Here, we performed single cell DNA sequencing (scDNA seq) in 82 bone marrow samples from 70 patients with acute myeloid leukemia (AML) using a novel microfluidics-based platform covering 40 amplicons in 19 AML genes (Tapestri, Mission Bio). All samples were concurrently sequenced by the bulk NGS using 295 gene exome capture sequencing. Selected cases were also analyzed by SNP array (Illuminia Omni 2.5 array) to obtain allele-specific copy number data. In total, 319,406 cells (median 3,755 cells/sample) were genotyped with median allele drop-out rate of 8.7% (population frequency inferred from commonly heterozygous SNP loci). Each amplicon was covered at a median 24x/cell. The scDNA seq detected 230 of 238 (97%) bulk NGS-confirmed mutations. RUNX1 mutations were frequently detected as homozygous mutations and concurrent SNP array analysis detected copy number neutral loss-of-heterozygosity of RUNX1 in these cases. Additionally, in cases with homozygous FLT3-ITD mutations, SNP array detected allele-specific copy number gain of mutant loci, which likely resulted in homozygous calls. scDNA seq data unambiguously resolved the single-cell level co-occurrence of driver mutations in AML such as DNMT3A/FLT3-ITD/NPM1, SRSF2/IDH2, and ASXL1/RUNX1, confirming the cooperative function of these driver mutations. On the other hand, the data also revealed mutually exclusive relationships at cellular level between IDH1/IDH2, FLT3-ITD/TKD, NRAS/KRAS, NRAS/PTPN11, and SRSF2/EZH2 mutations, which supports the functional redundancy of these genes in leukemogenesis. Inference of phylogenetic trees using SCITE algorithm (Jahn et al. Genome Biology 2016) uncovered distinct patterns of clonal evolution in AML. The majority of the analyzed cases had a linear evolution pattern where the founder mutations linearly acquired sub-clonal mutations in a step-wise manner. We also detected convergent evolution in some cases where functionally similar driver mutations were acquired in parallel. DNMT3A, IDH1, IDH2 and U2AF1 mutations were frequently detected as trunk mutations, whereas FLT3, NRAS, and NPM1 mutations were usually detected as branch mutations. Analysis of longitudinal samples from 11 patients revealed the remodeling of clonal architecture at relapse. Patients who had 2 or more major subclones at baseline had significantly worse overall survival than those with one subclone (2-year OS 13 vs. 70 months, p = 0.0493). For the first time our data provides a comprehensive landscape of driver mutations and detailed clonal evolution history in AML at the single-cell level using high-throughput scDNA seq genotype information.
Citation Format: Kiyomi Morita, Feng Wang, Katharina Jahn, Yuanqing Yan, Robert Durruthy-Durruthy, Anup Parikh, Jairo Matthews, Latasha Little, Curtis Gumbs, Jianhua Zhang, Xingzhi Song, Erika Thompson, Keyur Patel, Carlos Bueso-Ramos, Courtney DiNardo, Farhad Ravandi, Elias Jabbour, Michael Andreeff, Jorge Cortes, Marina Konopleva, Guillermo Garcia-Manero, Hagop Kantarjian, Dennis J. Eastburn, P Andrew Futreal, Niko Beerenwinkel, Koichi Takahashi. The single-cell atlas of driver mutations in acute myeloid leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2725.
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Affiliation(s)
- Kiyomi Morita
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Feng Wang
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Katharina Jahn
- 2Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland
| | - Yuanqing Yan
- 3The University of Texas Health Science Center at Houston, Houston, TX
| | | | | | - Jairo Matthews
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Curtis Gumbs
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xingzhi Song
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Erika Thompson
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Keyur Patel
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Farhad Ravandi
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Elias Jabbour
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Jorge Cortes
- 1The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | - Niko Beerenwinkel
- 2Swiss Federal Institute of Technology in Zurich, Zurich, Switzerland
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27
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Sheldon J, Crichlow A, Powles R, Little L. PS1427 THE SIGNIFICANCE OF UNEXPECTED PHARMACOKINETICS OF DARATUMUMAB DURING LONG-TERM MONTHLY TREATMENT FOR MYELOMA. Hemasphere 2019. [DOI: 10.1097/01.hs9.0000563984.67252.85] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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28
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Reuben A, Zhang J, Lin HY, Little L, Gumbs C, Tran HT, Wang L, Haymaker CL, Mehran RJ, Rice DC, Walsh GL, Lee JJ, Wistuba II, Swisher S, Vaporciyan AA, Futreal A, Sepesi B, Heymach J, Gibbons DL, Cascone T. T cell repertoire analysis of non-small cell lung cancer patients treated with neoadjuvant nivolumab alone or in combination with ipilimumab (NEOSTAR trial). J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.8532] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
8532 Background: Neoadjuvant immune checkpoint inhibitors (ICIs) are being explored in resectable non-small cell lung cancer (NSCLC). Here, we studied the composition and changes in the T cell repertoire in a cohort of NSCLC patients (n = 44) treated with neoadjuvant nivolumab (N) alone or in combination with ipilimumab (NI) followed by surgery (NEOSTAR trial). Methods: Sequencing of the variable CDR3β chain of the T cell receptor (TCR) involved in antigen binding was performed in pre-treatment and surgical tumors, matched adjacent uninvolved lung specimens, as well as paired longitudinal blood at baseline, prior to each dose of therapy, prior to surgery, and within 8 weeks post-surgery. T cell repertoire density, diversity, and clonality (reactivity) were evaluated in addition to tumor PD-L1 expression pre- and post-neoadjuvant treatment. Results: Median T cell diversity in the blood post-therapy was 3.3-fold higher in NI- compared to N-treated patients (40,993 [NI, n = 3] vs 12,177 [N, n = 4] unique TCR rearrangements, n.s.). However, median T cell clonality in the blood was 3.5-fold higher in N- than NI-treated patients post-therapy (0.093 [N, n = 4] vs 0.026 [NI, n = 3], n.s.). Median clonality was 3.8-fold higher in the tumor post-therapy in patients receiving NI than in those receiving N (0.076 [NI, n = 7] vs 0.020 [N, n = 5], n.s.). Interestingly, diversity in the blood at baseline and in the tumor post-therapy were positively correlated ([n = 7], r = 0.82; p = 0.023), which may reflect an influx of cells from the periphery following ICIs. Importantly, higher baseline T cell clonality in the blood was associated with a lower % of viable tumor at time of surgery in both treatment arms ([n = 7], r = -0.77; p = 0.04). Conclusions: Our study is the first to assess the TCR repertoire in NSCLC patients treated with combination neoadjuvant NI and highlights potential mechanistic differences compared to N alone. Neoadjuvant NI is associated with higher clonality in tumors and lower clonality in blood post-therapy, suggesting increased T cell trafficking into the tumor. Finally, lower pre-treatment clonality in the periphery was correlated with higher % viable tumor post-neoadjuvant ICIs. Clinical trial information: NCT03158129.
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Affiliation(s)
- Alexandre Reuben
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianjun Zhang
- Department of Thoracic and Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Heather Y. Lin
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Curtis Gumbs
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hai T. Tran
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Reza J. Mehran
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - David C. Rice
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - J. Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ignacio Ivan Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Stephen Swisher
- Department of Thoracic Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Department of Genomic Medicine, Houston, TX
| | - Boris Sepesi
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - John Heymach
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Don Lynn Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Tina Cascone
- The University of Texas MD Anderson Cancer Center, Houston, TX
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29
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Yilmaz M, Wang F, Loghavi S, Bueso-Ramos C, Gumbs C, Little L, Song X, Zhang J, Kadia T, Borthakur G, Jabbour E, Pemmaraju N, Short N, Garcia-Manero G, Estrov Z, Kantarjian H, Futreal A, Takahashi K, Ravandi F. Late relapse in acute myeloid leukemia (AML): clonal evolution or therapy-related leukemia? Blood Cancer J 2019; 9:7. [PMID: 30651532 PMCID: PMC6335405 DOI: 10.1038/s41408-019-0170-3] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 12/27/2018] [Indexed: 11/30/2022] Open
Abstract
Late relapse, defined as relapse arising after at least 5 years of remission, is rare and occurs in 1–3% of patients with acute myeloid leukemia (AML). The underlying mechanisms of late relapse remain poorly understood. We identified patients with AML who achieved remission with standard induction chemotherapy and relapsed after at least five years of remission (n = 15). Whole exome sequencing was performed in available bone marrow samples obtained at diagnosis (n = 10), remission (n = 6), and first relapse (n = 10). A total of 41 driver mutations were identified, of which 11 were primary tumor-specific, 17 relapse-specific, and 13 shared (detected both in primary and relapsed tumor samples). We demonstrated that 12 of 13 shared mutations were in epigenetic modifier and spliceosome genes. Longitudinal genomic characterization revealed that in eight of 10 patients the founder leukemic clone persisted after chemotherapy and established the basis of relapse years later. Understanding the mechanisms of such quiescence in leukemic cells may help designing future strategies aimed at increasing remission duration in patients with AML.
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Affiliation(s)
- Musa Yilmaz
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Feng Wang
- Department of Genomics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carlos Bueso-Ramos
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Curtis Gumbs
- Department of Genomics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Latasha Little
- Department of Genomics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tapan Kadia
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Gautam Borthakur
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elias Jabbour
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Naveen Pemmaraju
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicholas Short
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Zeev Estrov
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hagop Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- Department of Genomics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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30
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Chen R, Fujimoto J, Reuben A, Ying L, Hu X, Chow CW, Canales JR, Sun W, Hu J, Cuentas ERP, Behrens C, Wu CJ, Little L, Gumbs C, Wiesnoski D, Han G, Lee WC, Scheet P, Kadara H, Antonoff M, Vaporciyan AA, Swisher S, Zhang J, Heymach J, Hong WK, Wistuba I, Futreal A, Su D, Zhang J. Abstract 4686: T cell repertoire evolution from the normal lung to invasive lung adenocarcinoma. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-4686] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Our knowledge in early lung carcinogenesis is rudimentary. Atypical adenomatous hyperplasia (AAH) is the only preneoplasia type that has been recognized by histopathology and It has been postulated that AAH can progress to adenocarcinoma in situ (AIS), to minimally invasive adenocarcinoma (MIA), and finally to invasive adenocarcinoma (ADC). However, the definition of these lesions remains controversial due to limited supporting molecular evidence. Carcinogenesis results from accumulation of multiple genetic and epigenetic events, with selection for events conferring phenotypic advantage. Immune surveillance, particularly anti-tumor response from T cells is an important host protection process to inhibit carcinogenesis. However, the T cell repertoire landscape and its evolution during lung carcinogenesis have not been well defined. Methods: We performed T cell receptor (TCR) sequencing on multiple spatially separated regions (2-6 regions per lesion) from 23 AAH, 26 AIS, 54 MIA and 14 ADC lesions and paired histologically normal lung tissues from 52 patients clinically presenting with indeterminate pulmonary nodules. Forty-one patients had multifocal diseases and 23 patients carried more than one type of pathology. Results: Compared to pre-/micro-invasive neoplastic lesions (AAH, AIS, MIA) or invasive ADC, normal lung tissues demonstrated significantly less T cell infiltration (p<0.0001) but a significantly higher clonality (p<0.0001). Furthermore, T cell diversity increased and as did evenness in pre-/micro-invasive neoplastic lesions (AAH, AIS, MIA) (p<0.0001) and invasive ADC (p<0.005) accompanied with higher frequency of the top T cell clones observed in the normal lung (p<0.05). Interestingly, homology with normal lung T cell repertoire decreased in invasive ADC compared to pre-/micro-invasive neoplastic lesions (p<0.05). Distinct T cell repertoire overlap was also observed between pre-/micro-invasive neoplastic lesions and invasive ADC (p<0.01). Conclusions: Our preliminary analyses demonstrate the distinct T cell repertoire between the normal lung and pre-/micro-invasive neoplastic lesions and invasive ADC, and that immunosuppression of T cells may have occurred prior to the development of pre-neoplastic states and T cell repertoire becomes progressively suppressed with disease evolution. The distinct overlap of pre-/micro-invasive neoplastic lesions and invasive ADC suggests that with disease evolution, the immune microenvironment of invasive ADC increases in complexity. Integration of the molecular landscape with T cell and immune profiling across different stage lesions is underway.
Citation Format: Runzhe Chen, Junya Fujimoto, Alexandre Reuben, Lisha Ying, Xin Hu, Chi-Wan Chow, Jaime Rodriguez Canales, Wenyong Sun, Jinlin Hu, Edwin R. Parra Cuentas, Carmen Behrens, Chang-Jiun Wu, Latasha Little, Curtis Gumbs, Diana Wiesnoski, Guangchun Han, Won-Chul Lee, Paul Scheet, Humam Kadara, Mara Antonoff, Ara A. Vaporciyan, Stephen Swisher, Jianhua Zhang, John Heymach, Waun Ki Hong, Ignacio Wistuba, Andrew Futreal, Dan Su, Jianjun Zhang. T cell repertoire evolution from the normal lung to invasive lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4686.
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Affiliation(s)
| | | | | | - Lisha Ying
- 2Zhejiang Cancer Hospital, Hangzhou, China
| | - Xin Hu
- 1MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Jinlin Hu
- 2Zhejiang Cancer Hospital, Hangzhou, China
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Dan Su
- 2Zhejiang Cancer Hospital, Hangzhou, China
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31
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Yilmaz M, Wang F, Loghavi S, Bueso-Ramos CE, Gumbs C, Little L, Song X, Zhang J, Kadia TM, Borthakur G, Jabbour E, Garcia-Manero G, Estrov Z, Kantarjian HM, Futreal PA, Takahashi K, Ravandi F, Short NJ. Clonal evolution in acute myeloid leukemia (AML): Relapse after a long remission period. J Clin Oncol 2018. [DOI: 10.1200/jco.2018.36.15_suppl.7022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | - Feng Wang
- The university of Texas MD Anderson Cancer Center, Department of Genomic Medicine, Houston, TX
| | - Sanam Loghavi
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Curtis Gumbs
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xingzhi Song
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Tapan M. Kadia
- The University of Texas MD Anderson Cancer Center, Department of Leukemia, Houston, TX
| | | | - Elias Jabbour
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Zeev Estrov
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Farhad Ravandi
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Nicholas James Short
- Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
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Morita K, Kantarjian HM, Wang F, Yan Y, Bueso-Ramos C, Sasaki K, Issa GC, Wang S, Jorgensen J, Song X, Zhang J, Tippen S, Thornton R, Coyle M, Little L, Gumbs C, Pemmaraju N, Daver N, DiNardo CD, Konopleva M, Andreeff M, Ravandi F, Cortes JE, Kadia T, Jabbour E, Garcia-Manero G, Patel KP, Futreal PA, Takahashi K. Clearance of Somatic Mutations at Remission and the Risk of Relapse in Acute Myeloid Leukemia. J Clin Oncol 2018; 36:1788-1797. [PMID: 29702001 DOI: 10.1200/jco.2017.77.6757] [Citation(s) in RCA: 132] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Purpose The aim of the current study was to determine whether the degree of mutation clearance at remission predicts the risk of relapse in patients with acute myeloid leukemia (AML). Patients and Methods One hundred thirty-one previously untreated patients with AML who received intensive induction chemotherapy and attained morphologic complete remission (CR) at day 30 were studied. Pretreatment and CR bone marrow were analyzed using targeted capture DNA sequencing. We analyzed the association between mutation clearance (MC) on the basis of variant allele frequency (VAF) at CR (MC2.5: if the VAF of residual mutations was < 2.5%; MC1.0: if the VAF was < 1%; and complete MC [CMC]: if no detectable residual mutations) and event-free survival, overall survival (OS), and cumulative incidence of relapse (CIR). Results MC1.0 and CMC were associated with significantly better OS (2-year OS: 75% v 61% in MC1.0 v non-MC1.0; P = .0465; 2-year OS: 77% v 60% in CMC v non-CMC; P = .0303) and lower CIR (2-year CIR: 26% v 46% in MC1.0 v non-MC 1.0; P = .0349; 2 year-CIR: 24% v 46% in CMC v non-CMC; P = .03), whereas there was no significant difference in any of the above outcomes by MC2.5. Multivariable analysis adjusting for age, cytogenetic risk, allogeneic stem-cell transplantation, and flow cytometry-based minimal residual disease revealed that patients with CMC had significantly better event-free survival (hazard ratio [HR], 0.43; P = .0083), OS (HR, 0.47; P = .04), and CIR (HR, 0.27; P < .001) than did patients without CMC. These prognostic associations were stronger when preleukemic mutations, such as DNMT3A, TET2, and ASXL1, were removed from the analysis. Conclusion Clearance of somatic mutation at CR, particularly in nonpreleukemic genes, was associated with significantly better survival and less risk of relapse. Somatic mutations in nonpreleukemic genes may function as a molecular minimal residual disease marker in AML.
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Affiliation(s)
- Kiyomi Morita
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Hagop M Kantarjian
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Feng Wang
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Yuanqing Yan
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Carlos Bueso-Ramos
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Koji Sasaki
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Ghayas C Issa
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Sa Wang
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Jeffrey Jorgensen
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Xingzhi Song
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Jianhua Zhang
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Samantha Tippen
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Rebecca Thornton
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Marcus Coyle
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Latasha Little
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Curtis Gumbs
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Naveen Pemmaraju
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Naval Daver
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Courtney D DiNardo
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Marina Konopleva
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Michael Andreeff
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Farhad Ravandi
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Jorge E Cortes
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Tapan Kadia
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Elias Jabbour
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Guillermo Garcia-Manero
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Keyur P Patel
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - P Andrew Futreal
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
| | - Koichi Takahashi
- Kiyomi Morita, Hagop M. Kantarjian, Feng Wang, Yuanqing Yan, Carlos Bueso-Ramos, Koji Sasaki, Ghayas C. Issa, Sa Wang, Jeffrey Jorgensen, Xingzhi Song, Jianhua Zhang, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Naveen Pemmaraju, Naval Daver, Courtney D. DiNardo, Marina Konopleva, Michael Andreeff, Farhad Ravandi, Jorge E. Cortes, Tapan Kadia, Elias Jabbour, Guillermo Garcia-Manero, Keyur P. Patel, P. Andrew Futreal, and Koichi Takahash, The University of Texas MD Anderson Cancer Center, Houston, TX; Kiyomi Morita, The University of Tokyo, Tokyo; and Koichi Takahashi, Kyoto University, Kyoto, Japan
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Beird HC, Wu CC, Ingram DR, Wang WL, Alimohamed A, Gumbs C, Little L, Song X, Feig BW, Roland CL, Zhang J, Benjamin RS, Hwu P, Lazar AJ, Futreal PA, Somaiah N. Genomic profiling of dedifferentiated liposarcoma compared to matched well-differentiated liposarcoma reveals higher genomic complexity and a common origin. Cold Spring Harb Mol Case Stud 2018; 4:mcs.a002386. [PMID: 29610390 PMCID: PMC5880260 DOI: 10.1101/mcs.a002386] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Accepted: 02/06/2018] [Indexed: 12/14/2022] Open
Abstract
Well-differentiated (WD) liposarcoma is a low-grade mesenchymal tumor with features of mature adipocytes and high propensity for local recurrence. Often, WD patients present with or later progress to a higher-grade nonlipogenic form known as dedifferentiated (DD) liposarcoma. These DD tumors behave more aggressively and can metastasize. Both WD and DD liposarcomas harbor neochromosomes formed from amplifications and rearrangements of Chr 12q that encode oncogenes (MDM2, CDK4, and YEATS2) and adipocytic differentiation factors (HMGA2 and CPM). However, genomic changes associated with progression from WD to DD have not been well-defined. Therefore, we selected patients with matched WD and DD tumors for extensive genomic profiling in order to understand their clonal relationships and to delineate any defining alterations for each entity. Exome and transcriptomic sequencing was performed for 17 patients with both WD and DD diagnoses. Somatic point and copy-number alterations were integrated with transcriptional analyses to determine subtype-associated genomic features and pathways. The results were, on average, that only 8.3% of somatic mutations in WD liposarcoma were shared with their cognate DD component. DD tumors had higher numbers of somatic copy-number losses, amplifications involving Chr 12q, and fusion transcripts than WD tumors. HMGA2 and CPM rearrangements occur more frequently in DD components. The shared somatic mutations indicate a clonal origin for matched WD and DD tumors and show early divergence with ongoing genomic instability due to continual generation and selection of neochromosomes. Stochastic generation and subsequent expression of fusion transcripts from the neochromosome that involve adipogenesis genes such as HMGA2 and CPM may influence the differentiation state of the subsequent tumor.
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Affiliation(s)
- Hannah C Beird
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Chia-Chin Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Davis R Ingram
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Wei-Lien Wang
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | | | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Barry W Feig
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Christina L Roland
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Robert S Benjamin
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Patrick Hwu
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Alexander J Lazar
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA.,Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Neeta Somaiah
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
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Roh W, Chen PL, Reuben A, Spencer CN, Prieto PA, Miller JP, Gopalakrishnan V, Wang F, Cooper ZA, Reddy SM, Gumbs C, Little L, Chang Q, Chen WS, Wani K, De Macedo MP, Chen E, Austin-Breneman JL, Jiang H, Roszik J, Tetzlaff MT, Davies MA, Gershenwald JE, Tawbi H, Lazar AJ, Hwu P, Hwu WJ, Diab A, Glitza IC, Patel SP, Woodman SE, Amaria RN, Prieto VG, Hu J, Sharma P, Allison JP, Chin L, Zhang J, Wargo JA, Futreal PA. Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance. Sci Transl Med 2017; 9:9/379/eaah3560. [PMID: 28251903 DOI: 10.1126/scitranslmed.aah3560] [Citation(s) in RCA: 578] [Impact Index Per Article: 82.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Revised: 11/17/2016] [Accepted: 02/04/2017] [Indexed: 12/20/2022]
Abstract
Immune checkpoint blockade produces clinical benefit in many patients. However, better biomarkers of response are still needed, and mechanisms of resistance remain incompletely understood. To address this, we recently studied a cohort of melanoma patients treated with sequential checkpoint blockade against cytotoxic T lymphocyte antigen-4 (CTLA-4) followed by programmed death receptor-1 (PD-1) and identified immune markers of response and resistance. Building on these studies, we performed deep molecular profiling including T cell receptor sequencing and whole-exome sequencing within the same cohort and demonstrated that a more clonal T cell repertoire was predictive of response to PD-1 but not CTLA-4 blockade. Analysis of CNAs identified a higher burden of copy number loss in nonresponders to CTLA-4 and PD-1 blockade and found that it was associated with decreased expression of genes in immune-related pathways. The effect of mutational load and burden of copy number loss on response was nonredundant, suggesting the potential utility of a combinatorial biomarker to optimize patient care with checkpoint blockade therapy.
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Affiliation(s)
- Whijae Roh
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Cancer Biology Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at Houston, Houston, TX 77030, USA
| | - Pei-Ling Chen
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexandre Reuben
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christine N Spencer
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Peter A Prieto
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John P Miller
- Oncology Research for Biologics and Immunotherapy Translation, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | - Feng Wang
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Zachary A Cooper
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sangeetha M Reddy
- Division of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Latasha Little
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Qing Chang
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wei-Shen Chen
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Khalida Wani
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Mariana Petaccia De Macedo
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Pathology Department, A.C.Camargo Cancer Center, São Paulo, SP-01509-010, Brazil
| | - Eveline Chen
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jacob L Austin-Breneman
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hong Jiang
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jason Roszik
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Michael T Tetzlaff
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Michael A Davies
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jeffrey E Gershenwald
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hussein Tawbi
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alexander J Lazar
- Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Patrick Hwu
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Wen-Jen Hwu
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Adi Diab
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Isabella C Glitza
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sapna P Patel
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Scott E Woodman
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rodabe N Amaria
- Department of Melanoma Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Victor G Prieto
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jianhua Hu
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Padmanee Sharma
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.,Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - James P Allison
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lynda Chin
- University of Texas System, Austin, TX 78701, USA
| | - Jianhua Zhang
- Applied Cancer Science Institute, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jennifer A Wargo
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. .,Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
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Takahashi K, Wang F, Morita K, Patel K, Bueso-Ramos C, Zahr AA, Gumbs C, Little L, Tippen S, Thornton R, Coyle M, Zhang J, Song X, Mendoza M, Wu CJ, Kornblau S, DiNardo C, Garcia-Manero G, Jabbour E, Andreeff M, Ravandi F, Kantarjian H, Cortes J, Konopleva M, Futreal A. Abstract 16: Genomic landscape of adult mixed phenotype acute leukemia (MPAL). Clin Cancer Res 2017. [DOI: 10.1158/1557-3265.hemmal17-16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Mixed phenotype acute leukemia (MPAL) is a rare subgroup of acute leukemia characterized by blasts that express antigens of both myeloid and lymphoid lineage to such a degree that it is not possible to assign the leukemia to any one lineage with certainty. MPAL poses both diagnostic and therapeutic challenges in clinic and has a poor prognosis. The genetic basis of MPAL is not well studied.
Aim: Our aim in this study is to perform comprehensive molecular characterization of adult MPAL and lay the groundwork for future personalized therapy in MPAL.
Methods: We studied 31 patients with adult MPAL (median age 53) that met 2008 WHO classification criteria. Pretreatment bone marrow samples were studied by targeted capture exome sequencing of 295 genes that are recurrently mutated in hematologic malignancies (median 393x coverage, N = 31), RNA sequencing (N = 24), and Infinium methylation EPIC array (Illumina, N = 31). Mutational landscape was compared to that of 194 AML, 71 B-ALL, and 6 T-ALL cases of which pretreatment samples were sequenced internally with the same platform. Promoter CpG methylation pattern was compared to the data from 194 AML (data derived from The Cancer Genome Atlas Project), 505 B-ALL and 101 T-ALL cases (data shared by Nordlund et al. Genome Biology 2013). Copy number variation was inferred from methylation array data.
Results: Of the 31 MPAL cases, 18 (58%) had myeloid-T and 13 (42%) had myeloid-B phenotype. Four cases had Philadelphia chromosome (Ph), 1 had 11q23 abnormality, and 8 cases had complex karyotype. MPAL had similar numbers of mutations (median 2 [range: 0-6]) with AML (median 3 [range: 0-7], P = 0.79) or T-ALL (median 3 [range: 1-4], P = 0.92) but had significantly higher number of mutations than B-ALL (median 0 [range: 0-4]). Both AML-type and ALL-type mutations were detected in MPAL, which is consistent with the mixed immunophenotypic features. However, NPM1 mutation was specific to AML and was not found in MPAL cases. Myeloid-T and myeloid-B showed distinct patterns of somatic mutations, in which mutations in DNMT3A, IDH2, NOTCH1, IL7R, and FBXW7 were enriched in myeloid-T whereas RUNX1 mutations were enriched in myeloid-B. Myeloid-T and myeloid-B showed distinct patterns of promoter CpG methylation. Overall, myeloid-T had more hypermethylated CpG loci than myeloid-B in all different CpG locations (island, shore, shelf, and others). Genes that are essential in T-cell receptor (TCR) signaling (CD3D, CD7, CD247, LCK, PRKCQ, CCR9, and TCL1A) were differentially methylated and consequently differentially expressed between myeloid-T and myeloid-B. RNA sequencing revealed several known translocations such as NSD1-NUP98, and KMT2A-MLLT4, in addition to the novel translocations such as FOXP1-DNAJC15, FLI1-IFT46, and ITPR2-ARID5B. Unsupervised hierarchical clustering of all MPAL, AML, B-ALL and T-ALL by promoter CpG methylation pattern revealed that myeloid-T consistently showed similar methylation pattern with T-ALL, while myeloid-B showed random similarity with either B-ALL or AML.
Conclusion: MPAL is a genetically heterogeneous disease and myeloid-T and myeloid-B shows distinct patterns of mutation landscapes, methylation, and gene expressions. Genomic classification of MPAL may provide a clue to personalization of therapy for MPAL.
Citation Format: Koichi Takahashi, Feng Wang, Kiyomi Morita, Keyur Patel, Carlos Bueso-Ramos, Abdallah Abou Zahr, Curtis Gumbs, Latasha Little, Samantha Tippen, Rebecca Thornton, Marcus Coyle, Jianhua Zhang, Xingzhi Song, Marisela Mendoza, Chang-Jiu Wu, Steven Kornblau, Courtney DiNardo, Guillermo Garcia-Manero, Elias Jabbour, Michael Andreeff, Farhad Ravandi, Hagop Kantarjian, Jorge Cortes, Marina Konopleva, Andrew Futreal. Genomic landscape of adult mixed phenotype acute leukemia (MPAL) [abstract]. In: Proceedings of the Second AACR Conference on Hematologic Malignancies: Translating Discoveries to Novel Therapies; May 6-9, 2017; Boston, MA. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(24_Suppl):Abstract nr 16.
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Affiliation(s)
| | - Feng Wang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Kiyomi Morita
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Keyur Patel
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Curtis Gumbs
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Samantha Tippen
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Marcus Coyle
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xingzhi Song
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Chang-Jiu Wu
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Steven Kornblau
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Elias Jabbour
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Farhad Ravandi
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Jorge Cortes
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Deane AM, Hodgson CL, Young P, Little L, Singh V, Poole A, Young M, Mackle D, Lange K, Williams P, Peake SL, Chapman MJ, Iwashyna TJ. The rapid and accurate categorisation of critically ill patients (RACE) to identify outcomes of interest for longitudinal studies: a feasibility study. Anaesth Intensive Care 2017; 45:476-484. [PMID: 28673218 DOI: 10.1177/0310057x1704500411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
The capacity to measure the impact of an intervention on long-term functional outcomes might be improved if research methodology reflected our clinical approach, which is to individualise goals of care to what is achievable for each patient. The objective of this multicentre inception cohort study was to evaluate the feasibility of rapidly and accurately categorising patients, who were eligible for simulated enrolment into a clinical trial, into unique categories based on premorbid function. Once a patient met eligibility criteria a rapid 'baseline assessment' was conducted to categorise patients into one of eight specified groups. A subsequent 'gold standard' assessment was made by an independent blinded assessor once patients had recovered sufficiently to allow such an assessment to occur. Accuracy was predefined as agreement in >80% of assessments. One hundred and twenty-two patients received a baseline assessment and 104 (85%) were categorised to a unique category. One hundred and six patients survived to have a gold standard assessment performed, with 100 (94%) assigned to a unique category. Ninety-two patients had both a baseline and gold standard assessment, and these agreed in 65 (71%) patients. It was not feasible to rapidly and accurately categorise patients according to premorbid function.
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Affiliation(s)
| | | | | | | | - V Singh
- The Australian & New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University Melbourne, Victoria
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Bingham M, Bhamra I, Armer R, Thompson B, Woodcock S, Thomason A, Phillips C, McKeever H, Bradford J, Chaffey B, Little L, Clack G. Identification of an RNF43 mutated gastric cancer patient population with potential sensitivity to porcupine inhibitor RXC004 and development of a complimentary ctDNA liquid biopsy assay for patient screening. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx369.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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38
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Quek K, Li J, Fujimoto J, Zhang J, Wang J, Chow CW, Behrens C, Little L, Gumbs C, Antonoff M, Kalhor N, Weissferdt A, William WN, Swisher S, Lee JJ, Heymach J, Wistuba II, Futreal A, Zhang J. Intratumor heterogeneity of stage IA lung adenocarcinoma by multiregion whole exome sequencing and association with survival. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.8545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
8545 Background: Our previous study has suggested that complex genomic intratumor heterogeneity (gITH) was associated with an increased risk of relapse in patients with localized lung adenocarcinomas (LUAD). We have launched a study to investigate molecular and immune profile ITH of Stage IA NSCLC (a patient population with no optimal biomarker to guide postsurgical therapy) to understand the molecular evolution during early carcinogenesis and to identify biomarkers for early detection and intervention. Here, we report the preliminary analysis on gITH. Methods: We performed multiregion whole exome sequencing on 30 Stage IA LUAD and matched normal lung tissue to a median sequencing depth of 494x. 15 patients have relapsed within 3 years post-surgery (cases) and 15 patients have not relapsed with a minimum of 5-year postsurgical follow up (controls). Cases and controls are 1:1 matched for the key prognostic factors including tumor size, smoking status, age, gender, ethnicity and lobectomy or wedge resection. Shannon diversity index (SDI) was used to quantify ITH in each individual tumor. Kaplan-Meier method was used to evaluate the relationship between ITH and disease-free survival (DFS) as well as overall survival (OS). Results: Consistent with our previous study, 108 of 110 (98.2%) canonical cancer gene mutations were shared events by all regions of individual tumor. Compared to non-relapsed controls, tumors from relapsed cases demonstrated significantly higher degree of ITH (SDI of 1.78 in cases vs 1.58 for controls, p = 0.016). Higher degree of gITH was associated with shorter DFS (p = 0.008) and shorter OS (p = 0.0153). Significantly higher mutation burden was observed in tumors from relapsed patients (median of 10.86 mutations per MB in cases vs 7.45 mutations per MB in controls, p = 0.03). Analysis of gITH on a larger cohort and on predicted neoantigen, methylation, gene expression and immune profiles are in progress. Conclusions: Majority of cancer gene mutations are clonal events during early carcinogenesis of LUAD. Complex gITH may be associated with more aggressive biology and inferior clinical outcome in patients with Stage IA LUAD, therefore, may be evaluated as a potential biomarker.
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Affiliation(s)
- Kelly Quek
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jun Li
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Junya Fujimoto
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jinliang Wang
- Department of Oncology, Chinese PLA General Hospital, Beijing, China
| | - Chi-Wan Chow
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Carmen Behrens
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Curtis Gumbs
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Mara Antonoff
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Neda Kalhor
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - William N. William
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Stephen Swisher
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - J. Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - John Heymach
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianjun Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Takahashi K, Wang F, Patel K, Bueso-Ramos CE, Issa GC, Song X, Zhang J, Tippen S, Little L, Gumbs C, Ravandi F, Kadia TM, Daver NG, Dinardo CD, Konopleva M, Andreeff M, Cortes JE, Jabbour E, Futreal A, Kantarjian HM. Distinct patterns of somatic mutation clearance and association with clinical outcome in patients with AML. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.7005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
7005 Background: Persistence of somatic mutations at the time of complete remission (CR) was associated with poor outcome in patients (pts) with AML. Methods: We studied 95 pts with AML who were treated with frontline induction and subsequently achieved CR. We sequenced pre-treatment and CR bone marrow samples by targeted capture sequencing of 295 genes (median 280x coverage). We defined 3 levels of mutation clearance (MC) based on variant allele frequency (VAF): MC2.5, persistent mutation with VAF<2.5%; MC1.0, persistent mutation with VAF<1%; and complete mutation clearance (CMC). Results: In the pre-treatment samples, we detected 597 mutations in 78 genes in 87 (92%) patients. In the matching CR samples, 62 (10%) and 82 (14%) mutations persisted at VAF≥2.5% and ≥1%, respectively, which corresponded to 43 (49%), 34 (39%), and 30 (34%) patients achieving MC2.5, MC1.0 and CMC, respectively. Table 1 shows the differential patterns of MC based on the mutations and pathways. Mutations associated with clonal hematopoiesis of indeterminate potential (CHIP), DNA methylation, and splicing pathways had low rate of MC, whereas mutations in transcription factors or receptor tyrosine kinase (RTK) had high rate of MC. Pts who achieved MC1.0 (median 31.2 vs. 12.5 months, P = 0.04) or CMC (median 31.2 vs. 12.5 months, P = 0.049) had significantly better relapse-free survival (RFS). Conclusions: Somatic mutations associated with CHIP, DNA methylation, and splicing pathways persisted frequently in CR samples suggesting preleukemic origin. Pts with deeper MC had significantly better RFS. Somatic mutation clearance may help risk prediction of AML. [Table: see text]
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Affiliation(s)
| | - Feng Wang
- The University of Texas MD Anderson Cancer Center, Department of Leukemia, Houston, TX
| | - Keyur Patel
- The University of Texas MD Anderson Cancer Center, Department of Hematopathology, Houston, TX
| | | | - Ghayas C. Issa
- Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xingzhi Song
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Samantha Tippen
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Curtis Gumbs
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Farhad Ravandi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Tapan M. Kadia
- The University of Texas MD Anderson Cancer Center, Department of Leukemia, Houston, TX
| | - Naval Guastad Daver
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Marina Konopleva
- The University of Texas MD Anderson Cancer Center, Department of Leukemia, Houston, TX
| | - Michael Andreeff
- The University of Texas MD Anderson Cancer Center, Department of Leukemia, Houston, TX
| | - Jorge E. Cortes
- The University of Texas MD Anderson Cancer Center, Department of Leukemia, Houston, TX
| | - Elias Jabbour
- The University of Texas MD Anderson Cancer Center, Department of Leukemia, Houston, TX
| | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Hagop M. Kantarjian
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
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Tang M, Kalhor N, Ramineni M, Fujimoto J, Zhang J, Li J, Chow CW, Mao X, Song X, Little L, Gumbs C, Behrens C, William WN, Weissferdt A, Lee JJ, Swisher S, Heymach J, Wistuba II, Futreal A, Zhang J. Histology determination of lung cancers: A report on genomic profiling of lung cancer of mixing histology. J Clin Oncol 2017. [DOI: 10.1200/jco.2017.35.15_suppl.8570] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
8570 Background: Histopathology, largely determined by morphology, plays a critical role in choosing appropriate treatment for lung cancer. The understanding of molecular determination of lung cancer histology is rudimentary. Our recently published data (Zhang, Science, 2014 and Liu, Nature Communications, 2016) have demonstrated that within the same patients with identical genetic background and identical exposure, tumor regions with different morphologic appearances may have very similar genomic profiles while tumors with the same morphology may have distinct genomic landscape. Methods: We collected 12 lung cancers of mixing histology with 2 to 4 histologic components within each tumor. In total, 26 tumor regions including 9 adenocarcinomas, 6 large-cell neuroendocrine carcinoma, 6 small cell carcinomas and 4 squamous cell carcinomas and one poorly differentiated lung carcinoma were microdissected and subjected to whole exome sequencing. Results: A substantial number of identical mutations were shared between different histologic components within the same tumor in all 12 patients. However, the proportion of shared mutations varies in different patients ranging from as little as 4% to as much as 99%. Mutation spectrum is also similar between different histologic components within the same tumors suggesting similar mutational process in place. Identical canonical cancer gene mutations including TP53, KRAS, PIK3CA, SOS1 and STK11 are generally shared between different histologic components within the same tumors. Canonical mutations in FBXW7 and MTHFR were detected in squamous component, but not small-cell component in one patient. Conclusions: Different histologic components of lung cancers of mixing histology are likely derived from the same progenitor cells, but the molecular timing of branch separation of subclones giving rise to different histologic components varies in different tumors. Although genomic aberrations may play a role in a subset of tumors, histologic features may not be determined at genomic level for most lung cancers. Gene expression and methylation analyses from these tumors are underway.
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Affiliation(s)
- Ming Tang
- MD Anderson Cancer Center, Houston, TX
| | - Neda Kalhor
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Junya Fujimoto
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jun Li
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Chi-Wan Chow
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xizeng Mao
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Xingzhi Song
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Curtis Gumbs
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Carmen Behrens
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - William N. William
- Department of Thoracic/Head and Neck Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - J. Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Stephen Swisher
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - John Heymach
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jianjun Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Zhang J, Wu CC, Zhang J, Fujimoto J, Song X, Mao X, Sun H, Seth S, Thornton R, Coyle M, Little L, Gumbs C, Behrens C, Chow CW, Sulman E, Rao G, Swisher S, Wistuba I, Heymach J, Futreal A, Gomez D. Abstract 156: Integrated exome and transcriptome sequencing of primary lung cancers and paired distant metastases. Cancer Res 2016. [DOI: 10.1158/1538-7445.am2016-156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: The precise molecular mechanisms underlying metastasis of nonsmall cell lung cancers (NSCLC) are largely unknown. Two recent studies comparing genomic landscapes of primary NSCLC tumors and paired brain metastases suggested branched evolution, where all metastatic and primary tumors shared a common ancestor yet continued to evolve independently. The integrated genomic and transcriptomic profiles of primary NSCLC and metastases have not been studied in any details.
Methods: We performed whole exome sequencing (WES) and RNA sequencing (RNA-seq) of surgically resected primary tumors and paired distant metastases from 7 patients with NSCLC.
Results: Totally, 6,945 somatic mutations, including 1,702 non-silent (stop-gain, stop-loss, frameshift, splicing site and nonsynonymous) mutations were identified by WES. Metastases trended to have larger mutation burdens compared to paired primary tumors, although the difference was not statistically different (average 595 mutations per tumor in primary tumors versus 852 mutations per tumor in metastases, respectively, p = 0.54). On average, 51% of all mutations (24% to 93%) were shared between primary tumors and metastases. We identified 14 canonical cancer gene mutations in this cohort of patients, defined as mutations that lead to amino acid changes identical to those found previously in cancer genes or disrupting mutations in tumor suppressor genes, all of which were shared between primary tumors and paired distant metastases. In addition, metastases resembled paired primary NSCLC tumors closely in regard to somatic copy number aberration profiles and mutation signatures. Pathway analysis from RNA-seq data demonstrated that 25 of the 35 signal transduction pathways that were significantly down regulated in metastases relative to primary NSCLC tumors were related to immune activation. Validation study with a larger patient cohort is in progress.
Conclusions: Although branched evolution is a common phenomenon during metastasis of NSCLC, majority of canonical cancer gene mutations are probably early molecular events likely acquired before metastasis initiates. Mutation mechanism may be determined early during carcinogenesis and preserved during cancer evolution even at the metastatic sites. Immune suppression may be one characteristic feature of cancer cells of metastatic capacity.
Citation Format: Jianjun Zhang, Chia-Chin Wu, Jianhua Zhang, Junya Fujimoto, Xingzhi Song, Xizeng Mao, Huadong Sun, Sahil Seth, Rebecca Thornton, Marcus Coyle, Latasha Little, Curtis Gumbs, Carmen Behrens, Chi-Wan Chow, Erik Sulman, Ganesh Rao, Stephen Swisher, Ignacio Wistuba, John Heymach, Andrew Futreal, Daniel Gomez. Integrated exome and transcriptome sequencing of primary lung cancers and paired distant metastases. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 156.
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Affiliation(s)
| | | | | | | | | | - Xizeng Mao
- The UT MD Anderson Cancer Center, Houston, TX
| | - Huadong Sun
- The UT MD Anderson Cancer Center, Houston, TX
| | - Sahil Seth
- The UT MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | - Erik Sulman
- The UT MD Anderson Cancer Center, Houston, TX
| | - Ganesh Rao
- The UT MD Anderson Cancer Center, Houston, TX
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42
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Reuben A, Spencer C, Roszik J, Miller J, Kwong L, Jiang H, Haymaker C, Chen PL, Austin-Breneman J, Roh W, Little L, Cao Y, Garber H, Forget MA, Gopalakrishnan V, Amaria R, Davies M, Bernatchez C, Roger E, Cuentas P, Rodriguez J, Tetzlaff M, Woodman S, Dwyer K, Sharma P, Allison J, Chin L, Futreal A, Cooper Z, Wargo J. Molecular and immune heterogeneity in synchronous melanoma metastases. J Immunother Cancer 2015. [PMCID: PMC4649346 DOI: 10.1186/2051-1426-3-s2-p262] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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43
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Zhang J, Fujimoto J, Zhang J, Wedge DC, Song X, Zhang J, Seth S, Chow CW, Cao Y, Gumbs C, Gold KA, Kalhor N, Little L, Mahadeshwar H, Moran C, Protopopov A, Sun H, Tang J, Wu X, Ye Y, William WN, Lee JJ, Heymach JV, Hong WK, Swisher S, Wistuba II, Futreal PA. Intratumor heterogeneity in localized lung adenocarcinomas delineated by multiregion sequencing. Science 2014; 346:256-9. [PMID: 25301631 DOI: 10.1126/science.1256930] [Citation(s) in RCA: 718] [Impact Index Per Article: 71.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Cancers are composed of populations of cells with distinct molecular and phenotypic features, a phenomenon termed intratumor heterogeneity (ITH). ITH in lung cancers has not been well studied. We applied multiregion whole-exome sequencing (WES) on 11 localized lung adenocarcinomas. All tumors showed clear evidence of ITH. On average, 76% of all mutations and 20 out of 21 known cancer gene mutations were identified in all regions of individual tumors, which suggested that single-region sequencing may be adequate to identify the majority of known cancer gene mutations in localized lung adenocarcinomas. With a median follow-up of 21 months after surgery, three patients have relapsed, and all three patients had significantly larger fractions of subclonal mutations in their primary tumors than patients without relapse. These data indicate that a larger subclonal mutation fraction may be associated with increased likelihood of postsurgical relapse in patients with localized lung adenocarcinomas.
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Affiliation(s)
- Jianjun Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA. Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Jianhua Zhang
- Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - David C Wedge
- Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK
| | - Xingzhi Song
- Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Jiexin Zhang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Sahil Seth
- Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Chi-Wan Chow
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Yu Cao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Curtis Gumbs
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Kathryn A Gold
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Neda Kalhor
- Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Latasha Little
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Harshad Mahadeshwar
- Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Cesar Moran
- Department of Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Alexei Protopopov
- Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Huandong Sun
- Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Jiabin Tang
- Applied Cancer Science Institute, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - William N William
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - J Jack Lee
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA. Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Waun Ki Hong
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Stephen Swisher
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
| | - P Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA. Honorary Faculty, Wellcome Trust Sanger Institute, Hinxton, UK CB10 1SA.
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Ravi V, Ramesh N, Patnana M, Conley AP, Somaiah N, Zarzour MA, Ingram D, Little L, Protopopov A, Lazar AJF, Araujo DM, Torres KE, Patel S, Zhang J, Ali SM, Miller VA, Stephens PJ, Benjamin RS, Hwu P, Futreal A. Whole-exome and targeted sequencing of angiosarcomas: Target identification and treatment implications. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.10512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
- Vinod Ravi
- Department of Sarcoma Medical Oncology. The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Naveen Ramesh
- Department of Sarcoma Medical Oncology. The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Anthony Paul Conley
- Department of Sarcoma Medical Oncology. The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Neeta Somaiah
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Davis Ingram
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Latasha Little
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Alexander J. F. Lazar
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dejka M. Araujo
- Department of Sarcoma Medical Oncology. The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Keila E Torres
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Jianhua Zhang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | - Robert S. Benjamin
- Department of Sarcoma Medical Oncology. The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Patrick Hwu
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Andrew Futreal
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Behjati S, Tarpey PS, Sheldon H, Martincorena I, Van Loo P, Gundem G, Wedge DC, Ramakrishna M, Cooke SL, Pillay N, Vollan HKM, Papaemmanuil E, Koss H, Bunney TD, Hardy C, Joseph OR, Martin S, Mudie L, Butler A, Teague JW, Patil M, Steers G, Cao Y, Gumbs C, Ingram D, Lazar AJ, Little L, Mahadeshwar H, Protopopov A, Al Sannaa GA, Seth S, Song X, Tang J, Zhang J, Ravi V, Torres KE, Khatri B, Halai D, Roxanis I, Baumhoer D, Tirabosco R, Amary MF, Boshoff C, McDermott U, Katan M, Stratton MR, Futreal PA, Flanagan AM, Harris A, Campbell PJ. Recurrent PTPRB and PLCG1 mutations in angiosarcoma. Nat Genet 2014; 46:376-379. [PMID: 24633157 PMCID: PMC4032873 DOI: 10.1038/ng.2921] [Citation(s) in RCA: 224] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2013] [Accepted: 02/18/2014] [Indexed: 12/14/2022]
Abstract
Angiosarcoma is an aggressive malignancy that arises spontaneously or secondarily to ionizing radiation or chronic lymphoedema. Previous work has identified aberrant angiogenesis, including occasional somatic mutations in angiogenesis signaling genes, as a key driver of angiosarcoma. Here we employed whole-genome, whole-exome and targeted sequencing to study the somatic changes underpinning primary and secondary angiosarcoma. We identified recurrent mutations in two genes, PTPRB and PLCG1, which are intimately linked to angiogenesis. The endothelial phosphatase PTPRB, a negative regulator of vascular growth factor tyrosine kinases, harbored predominantly truncating mutations in 10 of 39 tumors (26%). PLCG1, a signal transducer of tyrosine kinases, encoded a recurrent, likely activating p.Arg707Gln missense variant in 3 of 34 cases (9%). Overall, 15 of 39 tumors (38%) harbored at least one driver mutation in angiogenesis signaling genes. Our findings inform and reinforce current therapeutic efforts to target angiogenesis signaling in angiosarcoma.
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Affiliation(s)
- Sam Behjati
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
- Department of Paediatrics, University of Cambridge, Hills Road, Cambridge, CB2 2XY, UK
| | - Patrick S Tarpey
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Helen Sheldon
- The Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK
| | - Inigo Martincorena
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Peter Van Loo
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
- Human Genome Laboratory, Department of Human Genetics, VIB and KU Leuven, B-3000 Leuven, Belgium
| | - Gunes Gundem
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - David C Wedge
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Manasa Ramakrishna
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Susanna L Cooke
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Nischalan Pillay
- Histopathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
- University College London Cancer Institute, Huntley Street, London, WC1E 6BT, UK
| | - Hans Kristian M Vollan
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
- Department of Oncology, Oslo University Hospital, N-0310 Oslo, Norway
- The K.G. Jebsen Center for Breast Cancer Research, University of Oslo, N-0424 Oslo, Norway
| | - Elli Papaemmanuil
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Hans Koss
- Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, UK
- Division of Molecular Structure, MRC-National Institute for Medical Research, Mill Hill, London NW7 1AA, UK
| | - Tom D Bunney
- Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, UK
| | - Claire Hardy
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Olivia R Joseph
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Sancha Martin
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Laura Mudie
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Adam Butler
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Jon W Teague
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Meena Patil
- Department of Pathology, John Radcliffe Hospital, Oxford, OX3 9DS, UK
| | - Graham Steers
- Department of Pathology, John Radcliffe Hospital, Oxford, OX3 9DS, UK
| | - Yu Cao
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Curtis Gumbs
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Davis Ingram
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Alexander J Lazar
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Latasha Little
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Harshad Mahadeshwar
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Alexei Protopopov
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Ghadah A Al Sannaa
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Sahil Seth
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Xingzhi Song
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Jiabin Tang
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Jianhua Zhang
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Vinod Ravi
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Keila E Torres
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Bhavisha Khatri
- Histopathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Dina Halai
- Histopathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Ioannis Roxanis
- Department of Pathology, John Radcliffe Hospital, Oxford, OX3 9DS, UK
| | - Daniel Baumhoer
- Bone Tumour Reference Centre, Institute of Pathology, University Hospital Basel, Basel, Institute for Applied Cancer Science, Switzerland
| | - Roberto Tirabosco
- Histopathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - M Fernanda Amary
- Histopathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
| | - Chris Boshoff
- University College London Cancer Institute, Huntley Street, London, WC1E 6BT, UK
- Pfizer Oncology, 10555 Science Center Dr, La Jolla, CA, 92121
| | - Ultan McDermott
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - Matilda Katan
- Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, UK
| | - Michael R Stratton
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
| | - P Andrew Futreal
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
- M. D. Anderson Cancer Center, The University of Texas, 1901 East Road, Houston, Texas 77054, USA
| | - Adrienne M Flanagan
- Histopathology, Royal National Orthopaedic Hospital NHS Trust, Stanmore, Middlesex, HA7 4LP, UK
- University College London Cancer Institute, Huntley Street, London, WC1E 6BT, UK
| | - Adrian Harris
- The Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK
- Department of Pathology, John Radcliffe Hospital, Oxford, OX3 9DS, UK
| | - Peter J Campbell
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA, UK
- Department of Haematology, Addenbrooke's Hospital, Cambridge, UK
- Department of Haematology, University of Cambridge, Hills Road, Cambridge, CB2 2XY, UK
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46
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Abstract
AIMS To assess vimentin immunoreactivity in normal, reactive and neoplastic endocervical epithelium, and compare the results with p16 protein, Ki-67 and bcl-2 expression. METHODS Sixty-two cervical biopsy specimens including normal endocervical epithelium, tubo-endometrioid metaplasia, adenocarcinoma in situ, stratified mucin producing intraepithelial lesions (SMILE), and invasive adenocarcinomas were stained immunohistochemically for vimentin and for p16 protein, Ki-67 and bcl-2. Twelve cases also included areas of high grade cervical intraepithelial neoplasia (CIN). RESULTS Normal endocervical epithelium usually showed subtle but distinct sub-nuclear and delicate lateral cell border vimentin expression while tubo-endometrioid metaplasia exhibited more diffuse cytoplasmic immunoreactivity. Usually adenocarcinoma in situ was completely negative and therefore vimentin staining sharply distinguished the benign and neoplastic epithelial elements. The SMILE lesions and high grade CIN were also vimentin negative in most cases. Most invasive adenocarcinomas were not stained but focal vimentin immunoreactivity was observed in 7/18 cases, and was restricted to small glands and infiltrating cell clusters at the deep (advancing) tumour margin. CONCLUSIONS Normal endocervical cells often exhibit vimentin staining, and this is increased in reactive and metaplastic situations, whereas adenocarcinoma in situ is usually completely negative. Therefore vimentin is a useful additional diagnostic marker in the assessment of problematic cervical glandular lesions. The localised re-expression of vimentin at the deep margin of some endocervical adenocarcinomas may be relevant to the process of tumour progression and invasion in these cases.
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Affiliation(s)
- C J R Stewart
- Department of Histopathology, King Edward Memorial Hospital, Perth, Western Australia
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47
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Stewart C, Brennan B, Leung Y, Little L. MELF pattern invasion in endometrial carcinoma: association with low grade, myoinvasive endometrioid tumours, focal mucinous differentiation and vascular invasion. Pathology 2009; 41:454-9. [DOI: 10.1080/00313020903041135] [Citation(s) in RCA: 44] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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48
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Krick EL, Little L, Patel R, Shofer FS, Sorenmo K, Clifford CA, Baez JL. Description of clinical and pathological findings, treatment and outcome of feline large granular lymphocyte lymphoma (1996-2004). Vet Comp Oncol 2009; 6:102-10. [PMID: 19178669 DOI: 10.1111/j.1476-5829.2007.00146.x] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Feline large granular lymphocyte (LGL) lymphoma is an uncommon, morphologically distinct variant of feline lymphoma. Limited information exists in the literature regarding pathological and immunohistochemical descriptions, clinical findings, treatment and survival times. The purpose of this study was to describe clinical features, treatment and outcome in feline LGL lymphoma. Medical records of 45 cats with LGL lymphoma were retrospectively evaluated. Decreased appetite/anorexia, weight loss, lethargy and vomiting were the most commonly reported clinical signs. All cats tested for feline leukaemia virus and feline immunodeficiency virus infection were negative. The mesenteric lymph nodes and small intestine were the most commonly affected organs. One complete response and six partial responses were noted in the 23 cats that received chemotherapy as their initial treatment. Median survival time for cats that were treated was 57 days. Based on these results, feline LGL lymphoma appears to be minimally responsive to chemotherapy and is associated with a grave prognosis.
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Affiliation(s)
- E L Krick
- Department of Clinical Studies, Matthew J. Ryan Veterinary Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA.
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49
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Abstract
Lymphoma is the most common nasal cavity tumor in cats, yet few reports specifically address the anatomic, immunohistologic, and cytologic features of this neoplasm. Fifty cats were diagnosed with lymphoma at necropsy, via biopsy or by cytology alone. Ten cats displayed multiorgan involvement, and in 2 of these the involvement was limited to the cerebellum and frontal cortex, respectively. Of the tumors, 41 of 50 (82%) were classified as nasal lymphoma, 5 of 50 (10%) were classified as nasopharyngeal lymphoma, and 4 of 50 (8%) involved both nasal and nasopharyngeal tissue. Histologically, all were considered diffuse lymphoid neoplasms and no cats displayed features of follicular lymphoma. Of the 44 cases available for slide review by the pathologist, 40 of 44 (91%) were classified as immunoblastic lymphoma, 2 of 44 (5%) as diffuse large cell, and 1 as diffuse mixed; 1 was unclassified. Of the 45 cats for which immunohistochemical stains were available, 32 were uniformly positive for CD79a, 7 were uniformly CD3 positive, and 6 had a mixed population of CD79a and CD3 cells. Epithelioptropism was exhibited in 4 of 5 (80%) cats in which there was sufficient epithelium present for evaluation. Of those 4, 3 were B-cell and 1 was a granulated T-cell lymphoma. In the 21 cats which nasal cytology was performed, 15 were cytologically diagnosed with lymphoma; the diagnoses in the remaining five cats were inflammatory (n = 4), normal lymphoid tissue (n = 1), or nondiagnostic (n = 1). The most common biochemical abnormalities were panhyperproteinemia in 26/46 (57%) of cats and hypocholesterolemia in 11/46 (24%) of cats.
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Affiliation(s)
- L Little
- Department of Pathobiology, Laboratory of Pathology and Toxicology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, USA.
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50
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Alvi S, Shaher A, Shetty V, Henderson B, Dangerfield B, Zorat F, Joshi L, Anthwal S, Lisak L, Little L, Gezer S, Mundle S, Reddy PL, Allampallam K, Huang X, Galili N, Borok RZ, Raza A. Successful establishment of long-term bone marrow cultures in 103 patients with myelodysplastic syndromes. Leuk Res 2001; 25:941-54. [PMID: 11597729 DOI: 10.1016/s0145-2126(01)00061-3] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
We used bone marrow biopsies instead of mononuclear cells to maintain long-term cultures from 103 patients belonging to all five sub-categories of myelodysplastic syndromes (MDS), as well as 12 normal controls. By week 4, 30-50% confluency was reached and could be maintained for up to 12 weeks with 100% confluency. The four prominent cells were fibroblasts, macrophages, endothelial cells and adipocytes. Immunohistochemical and electron microscopic studies provided lineage confirmation. Normal hematopoiesis was well supported by MDS stroma. Neither the FAB nor cytogenetics was co-related with the potency of growth. MDS stroma appears to be both morphologically and functionally normal.
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Affiliation(s)
- S Alvi
- MDS Center, Section of Myeloid Diseases, Rush Cancer Institute, Rush University, Suite 108, 2242 West Harrison Street, Chicago, IL 60612-3515, USA
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