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Li H, Chen Z, Huang Y, Chen C, Cai L. ELK4 targets CHMP6 to inhibit ferroptosis and enhance malignant properties of skin cutaneous melanoma cells. Arch Dermatol Res 2024; 316:634. [PMID: 39305302 DOI: 10.1007/s00403-024-03367-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 08/08/2024] [Accepted: 09/03/2024] [Indexed: 10/01/2024]
Abstract
Ferroptosis, a key factor in tumor progression, is poorly understood at the molecular level. This study investigates how ELK4 and CHMP6 regulate skin cutaneous melanoma (SKCM) cell proliferation and ferroptosis. Analysis of TCGA data reveals high expression of ELK4 and CHMP6 in SKCM. Overexpression of ELK4 or CHMP6 enhances cell proliferation, invasion, and migration while reducing ROS and Fe2 + levels. It also increases GPX4 and xCT expression and decreases ACSL4 levels in SKCM cells. The opposite effects are observed with ELK4 or CHMP6 knockdown. ELK4 binds to the CHMP6 promoter, promoting CHMP6 transcription. Knockdown of CHMP6 reverses the oncogenic effects of ELK4 overexpression. In conclusion, ELK4 enhances proliferation, invasion, and migration while inhibiting ferroptosis in SKCM cells by upregulating CHMP6 transcription. This study sheds light on the intricate mechanisms involved in SKCM progression and identifies potential therapeutic targets in melanoma treatment.
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Affiliation(s)
- Haiyan Li
- Department of Dermatology, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, P.R. China
| | - Zedong Chen
- Department of Dermatology, The First Affiliated Hospital of Harbin Medical University, No. 199, Dazhi Street, Nangang District, Harbin, 150001, Heilongjiang, P.R. China
| | - Yuanjie Huang
- Department of Dermatology, The First Affiliated Hospital of Harbin Medical University, No. 199, Dazhi Street, Nangang District, Harbin, 150001, Heilongjiang, P.R. China
| | - Chen Chen
- Department of Dermatology, The Second Hospital of Harbin, Harbin, 150056, Heilongjiang, P.R. China
| | - Limin Cai
- Department of Dermatology, The First Affiliated Hospital of Harbin Medical University, No. 199, Dazhi Street, Nangang District, Harbin, 150001, Heilongjiang, P.R. China.
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2
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Lin J, Shen M, Xiao W, Chen Y, Yu S, Meng Y. Common and rare variants in genetic susceptibility analysis of mature B-cell neoplasm subtypes by whole exome sequencing. Leukemia 2024; 38:2059-2063. [PMID: 38965369 DOI: 10.1038/s41375-024-02332-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/23/2024] [Accepted: 06/27/2024] [Indexed: 07/06/2024]
Affiliation(s)
- Junwei Lin
- Guangzhou KingMed Transformative Medicine Institute Co. Ltd, Guangzhou, China
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
| | - Maoting Shen
- Guangzhou KingMed Transformative Medicine Institute Co. Ltd, Guangzhou, China
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
| | - Wenjuan Xiao
- Guangzhou Kingmylab Pharmaceutical Research Co. Ltd, Guangzhou, China
| | - Yuxin Chen
- Guangzhou KingMed Diagnostics Group Co. Ltd, Guangzhou, China
| | - Shihui Yu
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co. Ltd, Guangzhou, China
| | - Yuhuan Meng
- Guangzhou KingMed Transformative Medicine Institute Co. Ltd, Guangzhou, China.
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
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3
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Wang X, Deng L, Ping L, Shi Y, Wang H, Feng F, Leng X, Tang Y, Xie Y, Ying Z, Liu W, Zhu J, Song Y. Germline variants of DNA repair and immune genes in lymphoma from lymphoma-cancer families. Int J Cancer 2024; 155:93-103. [PMID: 38446987 DOI: 10.1002/ijc.34892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/22/2023] [Accepted: 01/23/2024] [Indexed: 03/08/2024]
Abstract
The genetic predisposition to lymphoma is not fully understood. We identified 13 lymphoma-cancer families (2011-2021), in which 27 individuals developed lymphomas and 26 individuals had cancers. Notably, male is the predominant gender in lymphoma patients, whereas female is the predominant gender in cancer patients (p = .019; OR = 4.72, 95% CI, 1.30-14.33). We collected samples from 18 lymphoma patients, and detected germline variants through exome sequencing. We found that germline protein truncating variants (PTVs) were enriched in DNA repair and immune genes. Totally, we identified 31 heterozygous germline mutations (including 12 PTVs) of 25 DNA repair genes and 19 heterozygous germline variants (including 7 PTVs) of 14 immune genes. PTVs of ATM and PNKP were found in two families, respectively. We performed whole genome sequencing of diffuse large B cell lymphomas (DLBCLs), translocations at IGH locus and activation of oncogenes (BCL6 and MYC) were verified, and homologous recombination deficiency was detected. In DLBCLs with germline PTVs of ATM, deletion and insertion in CD58 were further revealed. Thus, in lymphoma-cancer families, we identified germline defects of both DNA repair and immune genes in lymphoma patients.
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Affiliation(s)
- Xiaogan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lijuan Deng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lingyan Ping
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yunfei Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Haojie Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Central Laboratory, Peking University Cancer Hospital & Institute, Beijing, China
| | - Feier Feng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Xin Leng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yahan Tang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yan Xie
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhitao Ying
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Weiping Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuqin Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
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4
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Cao X, Huber S, Ahari AJ, Traube FR, Seifert M, Oakes CC, Secheyko P, Vilov S, Scheller IF, Wagner N, Yépez VA, Blombery P, Haferlach T, Heinig M, Wachutka L, Hutter S, Gagneur J. Analysis of 3760 hematologic malignancies reveals rare transcriptomic aberrations of driver genes. Genome Med 2024; 16:70. [PMID: 38769532 PMCID: PMC11103968 DOI: 10.1186/s13073-024-01331-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/04/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Rare oncogenic driver events, particularly affecting the expression or splicing of driver genes, are suspected to substantially contribute to the large heterogeneity of hematologic malignancies. However, their identification remains challenging. METHODS To address this issue, we generated the largest dataset to date of matched whole genome sequencing and total RNA sequencing of hematologic malignancies from 3760 patients spanning 24 disease entities. Taking advantage of our dataset size, we focused on discovering rare regulatory aberrations. Therefore, we called expression and splicing outliers using an extension of the workflow DROP (Detection of RNA Outliers Pipeline) and AbSplice, a variant effect predictor that identifies genetic variants causing aberrant splicing. We next trained a machine learning model integrating these results to prioritize new candidate disease-specific driver genes. RESULTS We found a median of seven expression outlier genes, two splicing outlier genes, and two rare splice-affecting variants per sample. Each category showed significant enrichment for already well-characterized driver genes, with odds ratios exceeding three among genes called in more than five samples. On held-out data, our integrative modeling significantly outperformed modeling based solely on genomic data and revealed promising novel candidate driver genes. Remarkably, we found a truncated form of the low density lipoprotein receptor LRP1B transcript to be aberrantly overexpressed in about half of hairy cell leukemia variant (HCL-V) samples and, to a lesser extent, in closely related B-cell neoplasms. This observation, which was confirmed in an independent cohort, suggests LRP1B as a novel marker for a HCL-V subclass and a yet unreported functional role of LRP1B within these rare entities. CONCLUSIONS Altogether, our census of expression and splicing outliers for 24 hematologic malignancy entities and the companion computational workflow constitute unique resources to deepen our understanding of rare oncogenic events in hematologic cancers.
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Affiliation(s)
- Xueqi Cao
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Graduate School of Quantitative Biosciences (QBM), Munich, Germany
| | - Sandra Huber
- Munich Leukemia Laboratory (MLL), Munich, Germany
| | - Ata Jadid Ahari
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Franziska R Traube
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Marc Seifert
- Department of Haematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Christopher C Oakes
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Polina Secheyko
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Faculty of Biology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Sergey Vilov
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Ines F Scheller
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Nils Wagner
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Helmholtz Association - Munich School for Data Science (MUDS), Munich, Germany
| | - Vicente A Yépez
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Piers Blombery
- Peter MacCallum Cancer Centre, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
- Torsten Haferlach Leukämiediagnostik Stiftung, Munich, Germany
| | | | - Matthias Heinig
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Leonhard Wachutka
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
| | | | - Julien Gagneur
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
- Graduate School of Quantitative Biosciences (QBM), Munich, Germany.
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.
- Institute of Human Genetics, School of Medicine and Health, Technical University of Munich, Munich, Germany.
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5
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Mu Y, Chen Y, Meng Y, Chen T, Fan X, Yuan J, Lin J, Pan J, Li G, Feng J, Diao K, Li Y, Yu S, Liu L. Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms. Front Oncol 2023; 13:1160383. [PMID: 37601650 PMCID: PMC10436202 DOI: 10.3389/fonc.2023.1160383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023] Open
Abstract
Background Next-generation sequencing (NGS) panels for mature B-cell neoplasms (MBNs) are widely applied clinically but have yet to be routinely used in a manner that is suitable for subtype differential diagnosis. This study retrospectively investigated newly diagnosed cases of MBNs from our laboratory to investigate mutation landscapes in Chinese patients with MBNs and to combine mutational information and machine learning (ML) into clinical applications for MBNs, especially for subtype classification. Methods Samples from the Catalogue Of Somatic Mutations In Cancer (COSMIC) database were collected for ML model construction and cases from our laboratory were used for ML model validation. Five repeats of 10-fold cross-validation Random Forest algorithm was used for ML model construction. Mutation detection was performed by NGS and tumor cell size was confirmed by cell morphology and/or flow cytometry in our laboratory. Results Totally 849 newly diagnosed MBN cases from our laboratory were retrospectively identified and included in mutational landscape analyses. Patterns of gene mutations in a variety of MBN subtypes were found, important to investigate tumorigenesis in MBNs. A long list of novel mutations was revealed, valuable to both functional studies and clinical applications. By combining gene mutation information revealed by NGS and ML, we established ML models that provide valuable information for MBN subtype classification. In total, 8895 cases of 8 subtypes of MBNs in the COSMIC database were collected and utilized for ML model construction, and the models were validated on the 849 MBN cases from our laboratory. A series of ML models was constructed in this study, and the most efficient model, with an accuracy of 0.87, was based on integration of NGS testing and tumor cell sizes. Conclusions The ML models were of great significance in the differential diagnosis of all cases and different MBN subtypes. Additionally, using NGS results to assist in subtype classification of MBNs by method of ML has positive clinical potential.
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Affiliation(s)
- Yafei Mu
- Department of Hematology, The Third Affiliated Hospital of Sun Yat‐sen University and Sun Yat‐sen Institute of Hematology, Guangzhou, China
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Yuxin Chen
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Yuhuan Meng
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Tao Chen
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Xijie Fan
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jiecheng Yuan
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Junwei Lin
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jianhua Pan
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Guibin Li
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
| | - Jinghua Feng
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Kaiyuan Diao
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
| | - Yinghua Li
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Shihui Yu
- KingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
- Guangzhou KingMed Transformative Medicine Institute Co., Ltd., Guangzhou, China
- Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, China
- Guangzhou KingMed Diagnostics Group Co., Ltd., Guangzhou, China
| | - Lingling Liu
- Department of Hematology, The Third Affiliated Hospital of Sun Yat‐sen University and Sun Yat‐sen Institute of Hematology, Guangzhou, China
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Lampson BL, Gupta A, Tyekucheva S, Mashima K, Petráčková A, Wang Z, Wojciechowska N, Shaughnessy CJ, Baker PO, Fernandes SM, Shupe S, Machado JH, Fardoun R, Kim AS, Brown JR. Rare Germline ATM Variants Influence the Development of Chronic Lymphocytic Leukemia. J Clin Oncol 2023; 41:1116-1128. [PMID: 36315919 PMCID: PMC9928739 DOI: 10.1200/jco.22.00269] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 09/08/2022] [Accepted: 09/09/2022] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Germline missense variants of unknown significance in cancer-related genes are increasingly being identified with the expanding use of next-generation sequencing. The ataxia telangiectasia-mutated (ATM) gene on chromosome 11 has more than 1,000 germline missense variants of unknown significance and is a tumor suppressor. We aimed to determine if rare germline ATM variants are more frequent in chronic lymphocytic leukemia (CLL) compared with other hematologic malignancies and if they influence the clinical characteristics of CLL. METHODS We identified 3,128 patients (including 825 patients with CLL) in our hematologic malignancy clinic who had received clinical-grade sequencing of the entire coding region of ATM. We ascertained the comparative frequencies of germline ATM variants in categories of hematologic neoplasms, and, in patients with CLL, we determined whether these variants affected CLL-associated characteristics such as somatic 11q deletion. RESULTS Rare germline ATM variants are present in 24% of patients with CLL, significantly greater than that in patients with other lymphoid malignancies (16% prevalence), myeloid disease (15%), or no hematologic neoplasm (14%). Patients with CLL with germline ATM variants are younger at diagnosis and twice as likely to have 11q deletion. The ATM variant p.L2307F is present in 3% of patients with CLL, is associated with a three-fold increase in rates of somatic 11q deletion, and is a hypomorph in cell-based assays. CONCLUSION Germline ATM variants cluster within CLL and affect the phenotype of CLL that develops, implying that some of these variants (such as ATM p.L2307F) have functional significance and should not be ignored. Further studies are needed to determine whether these variants affect the response to therapy or account for some of the inherited risk of CLL.
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Affiliation(s)
- Benjamin L. Lampson
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Aditi Gupta
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | | | - Kiyomi Mashima
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Anna Petráčková
- Department of Immunology, Palacký University, Olomouc, Czech Republic
| | - Zixu Wang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
| | - Natalia Wojciechowska
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
- Current Address: Wrocław Medical University, Wrocław, Poland
| | - Conner J. Shaughnessy
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Peter O. Baker
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Stacey M. Fernandes
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Samantha Shupe
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - John-Hanson Machado
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Rayan Fardoun
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Annette S. Kim
- Department of Pathology, Brigham and Women's Hospital, Boston, MA
| | - Jennifer R. Brown
- Division of Hematologic Malignancies and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
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7
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Indolent T-cell lymphoproliferative disorder of gastrointestinal tract with unusual clinical courses: report of 6 cases and literature review. Virchows Arch 2022; 482:729-743. [PMID: 36472661 DOI: 10.1007/s00428-022-03467-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 11/20/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022]
Abstract
Indolent T-cell lymphoproliferative disorder of the gastrointestinal tract (iTLPD-GI) is a rare neoplasm usually having an indolent clinical course and easily misdiagnosed as inflammatory bowel disease or other T-cell lymphomas. A subset of the disorders that progressed to overt peripheral T-cell lymphoma have been reported, and the etiology and pathogenesis are poorly understood. The current study retrospectively examined the pathological, molecular, and clinical features of 6 cases of iTLPD-GI. Hematoxylin and eosin staining, immunohistochemistry, in situ hybridization, T-cell receptor gene rearrangement, and next-generation sequencing (NGS) were performed with the diseased tissues. All the 6 patients were immunocompetent Chinese men, who presented with recurrent abdominal pain and diarrhea for 4 to 13 years. Histologically, the intestinal tissue was expanded by lymphoid infiltration, composed of small-to-medium-sized lymphocytes with gland intact. The neoplastic cells were CD4 - /CD8 + with expression of TIA1 and variable granzyme B in five cases, and the other one was CD4 + /CD8 - . Two of the 5 patients progressed to more aggressive T-cell lymphoma and died of disease with complications. NGS identified TET2 and DDX3X mutations in patient 1, and BIRC6 and REV3L mutations in patient 2. Literature review indicated that iTLPD-GI with CD4 - /CD8 + immunophenotype was more commonly reported in Chinese cases. Our limited data indicated CD4-/CD8 + iTLPD-GI have similar potential to progress to more aggressive T-cell lymphoma as that of CD4 + /CD8 - , and gradually increased expression of granzyme B and Ki-67 may be early signs of the disease progression. Gain of novel gene mutations may be indicators of the pathogenesis.
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8
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Richard MA, Yang W, Sok P, Li M, Carmichael SL, von Behren J, Reynolds P, Fisher PG, Collins RT, Hobbs CA, Luke B, Shaw GM, Lupo PJ. Differential newborn DNA methylation among individuals with complex congenital heart defects and childhood lymphoma. Birth Defects Res 2022; 114:1434-1439. [PMID: 36226634 DOI: 10.1002/bdr2.2105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/07/2022] [Accepted: 09/25/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND There is emerging evidence that children with complex congenital heart defects (CHDs) are at increased risk for childhood lymphoma, but the mechanisms underlying this association are unclear. Thus, we sought to evaluate the role of DNA methylation patterns on "CHD-lymphoma" associations. METHODS From >3 million live births (1988-2004) in California registry linkages, we obtained newborn dried bloodspots from eight children with CHD-lymphoma through the California BioBank. We performed case-control epigenome-wide association analyses (EWAS) using two comparison groups with reciprocal discovery and validation to identify differential methylation associated with CHD-lymphoma. RESULTS After correction for multiple testing at the discovery and validation stages, individuals with CHD-lymphoma had differential newborn methylation at six sites relative to two comparison groups. Our top finding was significant in both EWAS and indicates PPFIA1 cg25574765 was hypomethylated among individuals with CHD-lymphoma (mean beta = 0.04) relative to both unaffected individuals (mean beta = 0.93, p = 1.5 × 10-12 ) and individuals with complex CHD (mean beta = 0.95, p = 3.8 × 10-8 ). PPFIA1 encodes a ubiquitously expressed liprin protein in one of the most commonly amplified regions in many cancers (11q13). Further, cg25574765 is a proposed marker of pre-eclampsia, a maternal CHD risk factor that has not been fully evaluated for lymphoma risk in offspring, and the tumor microenvironment that may drive immune cell malignancies. CONCLUSIONS We identified associations between molecular changes present in the genome at birth and risk of childhood lymphoma among those with CHD. Our findings also highlight novel perinatal exposures that may underlie methylation changes in CHD predisposing to lymphoma.
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Affiliation(s)
- Melissa A Richard
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Wei Yang
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA
| | - Pagna Sok
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
| | - Ming Li
- Department of Epidemiology and Biostatistics, Indiana University, Bloomington, Indiana, USA
| | - Suzan L Carmichael
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA
| | - Julie von Behren
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Peggy Reynolds
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Paul G Fisher
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA
- Department of Neurology, Stanford University School of Medicine, Palo Alto, California, USA
| | - R Thomas Collins
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA
| | - Charlotte A Hobbs
- Rady Children's Institute for Genomic Medicine, San Diego, California, USA
| | - Barbara Luke
- Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, Michigan, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California, USA
| | - Philip J Lupo
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
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9
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Wojcik GL, Murphy J, Edelson JL, Gignoux CR, Ioannidis AG, Manning A, Rivas MA, Buyske S, Hendricks AE. Opportunities and challenges for the use of common controls in sequencing studies. Nat Rev Genet 2022; 23:665-679. [PMID: 35581355 PMCID: PMC9765323 DOI: 10.1038/s41576-022-00487-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/22/2022] [Indexed: 01/02/2023]
Abstract
Genome-wide association studies using large-scale genome and exome sequencing data have become increasingly valuable in identifying associations between genetic variants and disease, transforming basic research and translational medicine. However, this progress has not been equally shared across all people and conditions, in part due to limited resources. Leveraging publicly available sequencing data as external common controls, rather than sequencing new controls for every study, can better allocate resources by augmenting control sample sizes or providing controls where none existed. However, common control studies must be carefully planned and executed as even small differences in sample ascertainment and processing can result in substantial bias. Here, we discuss challenges and opportunities for the robust use of common controls in high-throughput sequencing studies, including study design, quality control and statistical approaches. Thoughtful generation and use of large and valuable genetic sequencing data sets will enable investigation of a broader and more representative set of conditions, environments and genetic ancestries than otherwise possible.
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Affiliation(s)
- Genevieve L Wojcik
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessica Murphy
- Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
- Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, USA
| | - Jacob L Edelson
- Department of Biomedical Data Science, Stanford Medical School, Stanford, CA, USA
| | - Christopher R Gignoux
- Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
- Human Medical Genetics and Genomics Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Alexander G Ioannidis
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Alisa Manning
- Metabolism Program, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Manuel A Rivas
- Department of Biomedical Data Science, Stanford Medical School, Stanford, CA, USA
| | - Steven Buyske
- Department of Statistics, Rutgers University, Piscataway, NJ, USA
| | - Audrey E Hendricks
- Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA.
- Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, USA.
- Human Medical Genetics and Genomics Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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10
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Petrackova A, Savara J, Turcsanyi P, Gajdos P, Papajik T, Kriegova E. Rare germline ATM variants of uncertain significance in chronic lymphocytic leukaemia and other cancers. Br J Haematol 2022; 199:371-381. [PMID: 36029002 DOI: 10.1111/bjh.18419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 12/26/2022]
Abstract
Germline pathogenic ATM (ataxia-telangiectasia mutated) variants are associated with the risk of multiple cancers; however, genetic testing reveals a large number of ATM variants of uncertain significance (VUS). Here, we studied germline ATM variants occurring in a real-world cohort of 336 patients with chronic lymphocytic leukaemia (CLL) and public cancer whole-exome/genome-sequencing datasets (445 CLL, 75 mantle cell lymphoma, 216 metastatic breast cancer, 140 lung cancer patients). We found that two-thirds of rare germline ATM variants are pathogenic (18%-50%) or VUS-predicted pathogenic (50%-82%), depending on cancer type and reaching a prevalence of up to 8%, and one-third are VUS-predicted benign. Patients with both pathogenic and VUS-predicted pathogenic variants, all heterozygous, mostly missense, are more predisposed to biallelic ATM inactivation by acquiring deletion (del)11q than patients without these variants, similar to patients with somatic ATM variants. A functional assay of ATM activity in primary CLL cells proved that VUS-predicted pathogenic ATM variants partially reduce ATM activity and concurrent del(11q) leads to complete loss of ATM activity. The rare germline variants were associated with reduced progression-free survival in CLL on novel agents, comparable to somatic ATM or TP53 disruptions. Our results highlight the need to determine the pathogenicity of VUS in clinically relevant genes such as ATM.
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Affiliation(s)
- Anna Petrackova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Jakub Savara
- Department of Immunology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic.,Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic
| | - Peter Turcsanyi
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Petr Gajdos
- Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czech Republic
| | - Tomas Papajik
- Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
| | - Eva Kriegova
- Department of Immunology, Faculty of Medicine and Dentistry, Palacký University and University Hospital Olomouc, Olomouc, Czech Republic
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11
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Comparative Transcriptome Analysis of Bombyx mori (Lepidoptera) Larval Hemolymph in Response to Autographa californica Nucleopolyhedrovirus in Differentially Resistant Strains. Processes (Basel) 2021. [DOI: 10.3390/pr9081401] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Bombyx mori nucleopolyhedrovirus (BmNPV) is a kind of pathogen that causes huge economic losses to silkworm production. Although Autographa californica nucleopolyhedrovirus (AcMNPV) and BmNPV are both baculoviruses, the host domains of these two viruses have almost no intersection in nature. Recently, it has been found that some silkworms could be infected by recombinant AcMNPV through a puncture, which provided valuable material for studying the infection mechanism of baculovirus to silkworm. In this study, comparative transcriptomics was used to analyse the hemolymph of two differentially resistant strains following AcMNPV inoculation. There were 678 DEGs in p50 and 515 DEGs in C108 following viral infection. Among them, the upregulation and downregulation of DEGs were similar in p50; however, the upregulated DEGs were nearly twice as numerous as the downregulated DEGs in C108. The DEGs in different resistant strains differed by GO enrichment. Based on KEGG enrichment, DEGs were mainly enriched in metabolic pathways in p50 and the apoptosis pathway in C108. Moreover, 13 genes involved in metabolic pathways and 11 genes involved in the apoptosis pathway were analysed. Among the DEGs involved in apoptosis, the function of BmTex261 in viral infection was analysed. The BmTex261 showed the highest expression in hemolymph and a significant response to viral infection in the hemolymph of C108, indicating that it is involved in anti-AcMNPV infection. This was further validated by the significantly decreased expression of viral gene lef3 after overexpression of BmTex261 in BmN cells. The results provide a theoretical reference for the molecular mechanism of resistance to BmNPV in silkworms.
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