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Hosoi H, Tabata S, Kosako H, Hori Y, Okamura T, Yamashita Y, Fujimoto K, Kajioka D, Suzuki K, Osato M, Yamada G, Sonoki T. IGLL5 controlled by super-enhancer affects cell survival and MYC expression in mature B-cell lymphoma. Leuk Res Rep 2024; 21:100451. [PMID: 38444524 PMCID: PMC10912717 DOI: 10.1016/j.lrr.2024.100451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 01/03/2024] [Accepted: 02/20/2024] [Indexed: 03/07/2024] Open
Abstract
IGLL5 is shown to be located near super-enhancer (SE) in B-cell tumors, and this gene is frequently mutated and a target of translocation in B-cell tumors. These results suggest roles of the IGLL5 in tumorigenesis; however, its functional properties have been unclear. We found that two mature B-cell lymphoma cell lines expressed IGLL5 mRNA with Cλ1 segment. JQ1 treatment resulted in down-expression of IGLL5, indicating that IGLL5 is controlled by SE. IGLL5 knockdown induced cell death with down-expression of MYC. Our results suggested that IGLL5 might have a role in survival of mature B-cell tumors and involvement in MYC expression. (100 words).
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Affiliation(s)
- Hiroki Hosoi
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Shotaro Tabata
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Hideki Kosako
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Yoshikazu Hori
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Tadashi Okamura
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Yusuke Yamashita
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
| | - Kota Fujimoto
- Department of Developmental Genetics, Institute of Advanced Medicine, Wakayama Medical University, Wakayama, Japan
| | - Daiki Kajioka
- Department of Developmental Genetics, Institute of Advanced Medicine, Wakayama Medical University, Wakayama, Japan
| | - Kentaro Suzuki
- Faculty of Life and Environmental Sciences, University of Yamanashi, Takeda 4-4-37, Kofu City, Yamanashi, Japan
| | - Motomi Osato
- International Research Center for Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Gen Yamada
- Department of Developmental Genetics, Institute of Advanced Medicine, Wakayama Medical University, Wakayama, Japan
| | - Takashi Sonoki
- Department of Hematology/Oncology, Wakayama Medical University, Wakayama, Japan
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2
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Russler-Germain DA, Krysiak K, Ramirez C, Mosior M, Watkins MP, Gomez F, Skidmore ZL, Trani L, Gao F, Geyer S, Cashen AF, Mehta-Shah N, Kahl BS, Bartlett NL, Alderuccio JP, Lossos IS, Ondrejka SL, Hsi ED, Martin P, Leonard JP, Griffith M, Griffith OL, Fehniger TA. Mutations associated with progression in follicular lymphoma predict inferior outcomes at diagnosis: Alliance A151303. Blood Adv 2023; 7:5524-5539. [PMID: 37493986 PMCID: PMC10514406 DOI: 10.1182/bloodadvances.2023010779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/27/2023] Open
Abstract
Follicular lymphoma (FL) is clinically heterogeneous, with select patients tolerating extended watch-and-wait, whereas others require prompt treatment, suffer progression of disease within 24 months of treatment (POD24), and/or experience aggressive histologic transformation (t-FL). Because our understanding of the relationship between genetic alterations in FL and patient outcomes remains limited, we conducted a clinicogenomic analysis of 370 patients with FL or t-FL (from Cancer and Leukemia Group B/Alliance trials 50402/50701/50803, or real-world cohorts from Washington University School of Medicine, Cleveland Clinic, or University of Miami). FL subsets by grade, stage, watch-and-wait, or POD24 status did not differ by mutation burden, whereas mutation burden was significantly higher in relapsed/refractory (rel/ref) FL and t-FL than in newly diagnosed (dx) FL. Nonetheless, mutation burden in dx FL was not associated with frontline progression-free survival (PFS). CREBBP was the only gene more commonly mutated in FL than in t-FL yet mutated CREBBP was associated with shorter frontline PFS in FL. Mutations in 20 genes were more common in rel/ref FL or t-FL than in dx FL, including 6 significantly mutated genes (SMGs): STAT6, TP53, IGLL5, B2M, SOCS1, and MYD88. We defined a mutations associated with progression (MAP) signature as ≥2 mutations in these 7 genes (6 rel/ref FL or t-FL SMGs plus CREBBP). Patients with dx FL possessing a MAP signature had shorter frontline PFS, revealing a 7-gene set offering insight into FL progression risk potentially more generalizable than the m7-Follicular Lymphoma International Prognostic Index (m7-FLIPI), which had modest prognostic value in our cohort. Future studies are warranted to validate the poor prognosis associated with a MAP signature in dx FL, potentially facilitating novel trials specifically in this high-risk subset of patients.
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Affiliation(s)
- David A. Russler-Germain
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Kilannin Krysiak
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Cody Ramirez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Matthew Mosior
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Marcus P. Watkins
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Felicia Gomez
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Zachary L. Skidmore
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Lee Trani
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
| | - Feng Gao
- Public Health Sciences Division, Department of Surgery, Washington University School of Medicine, St. Louis, MO
| | - Susan Geyer
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | - Amanda F. Cashen
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Neha Mehta-Shah
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Brad S. Kahl
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Nancy L. Bartlett
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
| | - Juan P. Alderuccio
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Izidore S. Lossos
- Division of Hematology, Sylvester Comprehensive Cancer Center, University of Miami School of Medicine, Miami, FL
| | - Sarah L. Ondrejka
- Robert J. Tomsich Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Eric D. Hsi
- Department of Pathology, Wake Forest Baptist Medical Center, Winston Salem, NC
| | - Peter Martin
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - John P. Leonard
- Weill Cornell Medicine and New York Presbyterian Hospital, New York, NY
| | - Malachi Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Obi L. Griffith
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Todd A. Fehniger
- Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO
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Flerlage JE, Myers JR, Maciaszek JL, Oak N, Rashkin SR, Hui Y, Wang YD, Chen W, Wu G, Chang TC, Hamilton K, Tithi SS, Goldin LR, Rotunno M, Caporaso N, Vogt A, Flamish D, Wyatt K, Liu J, Tucker M, Hahn CN, Brown AL, Scott HS, Mullighan C, Nichols KE, Metzger ML, McMaster ML, Yang JJ, Rampersaud E. Discovery of novel predisposing coding and noncoding variants in familial Hodgkin lymphoma. Blood 2023; 141:1293-1307. [PMID: 35977101 PMCID: PMC10082357 DOI: 10.1182/blood.2022016056] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 07/12/2022] [Accepted: 08/02/2022] [Indexed: 11/20/2022] Open
Abstract
Familial aggregation of Hodgkin lymphoma (HL) has been demonstrated in large population studies, pointing to genetic predisposition to this hematological malignancy. To understand the genetic variants associated with the development of HL, we performed whole genome sequencing on 234 individuals with and without HL from 36 pedigrees that had 2 or more first-degree relatives with HL. Our pedigree selection criteria also required at least 1 affected individual aged <21 years, with the median age at diagnosis of 21.98 years (3-55 years). Family-based segregation analysis was performed for the identification of coding and noncoding variants using linkage and filtering approaches. Using our tiered variant prioritization algorithm, we identified 44 HL-risk variants in 28 pedigrees, of which 33 are coding and 11 are noncoding. The top 4 recurrent risk variants are a coding variant in KDR (rs56302315), a 5' untranslated region variant in KLHDC8B (rs387906223), a noncoding variant in an intron of PAX5 (rs147081110), and another noncoding variant in an intron of GATA3 (rs3824666). A newly identified splice variant in KDR (c.3849-2A>C) was observed for 1 pedigree, and high-confidence stop-gain variants affecting IRF7 (p.W238∗) and EEF2KMT (p.K116∗) were also observed. Multiple truncating variants in POLR1E were found in 3 independent pedigrees as well. Whereas KDR and KLHDC8B have previously been reported, PAX5, GATA3, IRF7, EEF2KMT, and POLR1E represent novel observations. Although there may be environmental factors influencing lymphomagenesis, we observed segregation of candidate germline variants likely to predispose HL in most of the pedigrees studied.
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Affiliation(s)
- Jamie E. Flerlage
- Department of Oncology, St. Jude Children’s Research Hospital and the University of Tennessee Health Sciences Center, Memphis, TN
| | - Jason R. Myers
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Jamie L. Maciaszek
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Ninad Oak
- Department of Oncology, St. Jude Children’s Research Hospital and the University of Tennessee Health Sciences Center, Memphis, TN
| | - Sara R. Rashkin
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Yawei Hui
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Yong-Dong Wang
- Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN
| | - Wenan Chen
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Gang Wu
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Ti-Cheng Chang
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Kayla Hamilton
- Department of Oncology, St. Jude Children’s Research Hospital and the University of Tennessee Health Sciences Center, Memphis, TN
| | - Saima S. Tithi
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
| | - Lynn R. Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Melissa Rotunno
- Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | | | | | | | - Jia Liu
- Leidos Biomedical, Inc, Frederick, MD
| | - Margaret Tucker
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Christopher N. Hahn
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, SA, Australia
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Anna L. Brown
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, SA, Australia
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
| | - Hamish S. Scott
- Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, SA, Australia
- Centre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, SA, Australia
- School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Charles Mullighan
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Kim E. Nichols
- Department of Oncology, St. Jude Children’s Research Hospital and the University of Tennessee Health Sciences Center, Memphis, TN
| | - Monika L. Metzger
- Department of Oncology, St. Jude Children’s Research Hospital and the University of Tennessee Health Sciences Center, Memphis, TN
- Department of Global Pediatric Medicine, St. Jude Children’s Research Hospital, Memphis, TN
| | - Mary L. McMaster
- Department of Cell and Molecular Biology, St. Jude Children's Research Hospital, Memphis, TN
| | - Jun J. Yang
- Department of Oncology, St. Jude Children’s Research Hospital and the University of Tennessee Health Sciences Center, Memphis, TN
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, TN
| | - Evadnie Rampersaud
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN
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4
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Fu H, Shen J, Zhou H, Zhang F, Li H, Ma Z, Huang W, Chen L, Chen Y, Liu T. Mutation profiling of circulating tumor DNA identifies distinct mutation patterns in non-Hodgkin lymphoma. Eur J Haematol 2022; 108:298-309. [PMID: 34997652 DOI: 10.1111/ejh.13736] [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: 07/11/2021] [Revised: 12/06/2021] [Accepted: 12/08/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Circulating tumor DNA (ctDNA) is emerging as a versatile biomarker for noninvasive genotyping and response monitoring in specific B-cell lymphomas; however, few studies have been conducted to explore ctDNA-based mutation profiling across non-Hodgkin lymphomas (NHLs) and genomic changes after initiation of chemotherapy. METHODS A targeted sequencing of 362 genes was performed to detect the mutation profiles in paired blood and tissue samples from 42 NHL patients. Genomic alterations were explored in 11 diffuse large B-cell lymphoma (DLBCL) patients using paired blood samples collected pre- and post-R-CHOP chemotherapy. RESULTS The frequencies of PIM1, MYD88, MYC, ZNF292, JAK, and MAF mutations were higher in aggressive than in indolent B-cell lymphoma and NK/T subtypes. Tumor mutation burden in blood samples was higher in aggressive than in indolent B-cell lymphomas and higher in patients who progressed than in those who responded to treatments. Our data also revealed significant enhance of concordance index through integrating mutated genes that were significantly associated with prognosis into International Prognostic Index-based prognostic model. Moreover, acquisition of mutations such as PCLO_p.L1220Tfs*3 was associated with resistance to R-CHOP in DLBCL patients. CONCLUSIONS Our findings illustrated distinct mutation patterns across various NHL subtypes and suggested the association of genomic alterations in ctDNA with treatment outcomes.
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Affiliation(s)
- Haiying Fu
- Department of Hematology, The Third Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, The Third People's Hospital of Fujian Province, Fuzhou, China
| | - Jianzhen Shen
- Department of Hematology, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fuzhou, China
| | - Huarong Zhou
- Department of Hematology, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fuzhou, China
| | - Feng Zhang
- Department of Hematology, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fuzhou, China
| | - Hongping Li
- Research and Development Division, Oriomics Biotech Inc, Hangzhou, China
| | - Zhiming Ma
- Research and Development Division, Oriomics Biotech Inc, Hangzhou, China
| | - Wanling Huang
- Department of Hematology, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fuzhou, China
| | - Lushan Chen
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yi Chen
- Department of Hematology, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fuzhou, China
| | - Tingbo Liu
- Department of Hematology, Fujian Medical University Union Hospital, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fuzhou, China
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5
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Dressler L, Bortolomeazzi M, Keddar MR, Misetic H, Sartini G, Acha-Sagredo A, Montorsi L, Wijewardhane N, Repana D, Nulsen J, Goldman J, Pollitt M, Davis P, Strange A, Ambrose K, Ciccarelli FD. Comparative assessment of genes driving cancer and somatic evolution in non-cancer tissues: an update of the Network of Cancer Genes (NCG) resource. Genome Biol 2022; 23:35. [PMID: 35078504 PMCID: PMC8790917 DOI: 10.1186/s13059-022-02607-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 01/10/2022] [Indexed: 12/30/2022] Open
Abstract
Background Genetic alterations of somatic cells can drive non-malignant clone formation and promote cancer initiation. However, the link between these processes remains unclear and hampers our understanding of tissue homeostasis and cancer development. Results Here, we collect a literature-based repertoire of 3355 well-known or predicted drivers of cancer and non-cancer somatic evolution in 122 cancer types and 12 non-cancer tissues. Mapping the alterations of these genes in 7953 pan-cancer samples reveals that, despite the large size, the known compendium of drivers is still incomplete and biased towards frequently occurring coding mutations. High overlap exists between drivers of cancer and non-cancer somatic evolution, although significant differences emerge in their recurrence. We confirm and expand the unique properties of drivers and identify a core of evolutionarily conserved and essential genes whose germline variation is strongly counter-selected. Somatic alteration in even one of these genes is sufficient to drive clonal expansion but not malignant transformation. Conclusions Our study offers a comprehensive overview of our current understanding of the genetic events initiating clone expansion and cancer revealing significant gaps and biases that still need to be addressed. The compendium of cancer and non-cancer somatic drivers, their literature support, and properties are accessible in the Network of Cancer Genes and Healthy Drivers resource at http://www.network-cancer-genes.org/. Supplementary Information The online version contains supplementary material available at 10.1186/s13059-022-02607-z.
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6
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Danieli A, Papantonis A. Spatial genome architecture and the emergence of malignancy. Hum Mol Genet 2021; 29:R197-R204. [PMID: 32619215 DOI: 10.1093/hmg/ddaa128] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 06/16/2020] [Accepted: 06/16/2020] [Indexed: 01/30/2023] Open
Abstract
Human chromosomes are large spatially and hierarchically structured entities, the integrity of which needs to be preserved throughout the lifespan of the cell and in conjunction with cell cycle progression. Preservation of chromosomal structure is important for proper deployment of cell type-specific gene expression programs. Thus, aberrations in the integrity and structure of chromosomes will predictably lead to disease, including cancer. Here, we provide an updated standpoint with respect to chromatin misfolding and the emergence of various cancer types. We discuss recent studies implicating the disruption of topologically associating domains, switching between active and inactive compartments, rewiring of promoter-enhancer interactions in malignancy as well as the effects of single nucleotide polymorphisms in non-coding regions involved in long-range regulatory interactions. In light of these findings, we argue that chromosome conformation studies may now also be useful for patient diagnosis and drug target discovery.
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Affiliation(s)
- Adi Danieli
- Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Argyris Papantonis
- Institute of Pathology, University Medical Center Göttingen, 37075 Göttingen, Germany
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7
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Thomas AL, Marsman J, Antony J, Schierding W, O’Sullivan JM, Horsfield JA. Transcriptional Regulation of RUNX1: An Informatics Analysis. Genes (Basel) 2021; 12:1175. [PMID: 34440349 PMCID: PMC8395016 DOI: 10.3390/genes12081175] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/26/2021] [Accepted: 07/28/2021] [Indexed: 01/04/2023] Open
Abstract
The RUNX1/AML1 gene encodes a developmental transcription factor that is an important regulator of haematopoiesis in vertebrates. Genetic disruptions to the RUNX1 gene are frequently associated with acute myeloid leukaemia. Gene regulatory elements (REs), such as enhancers located in non-coding DNA, are likely to be important for Runx1 transcription. Non-coding elements that modulate Runx1 expression have been investigated over several decades, but how and when these REs function remains poorly understood. Here we used bioinformatic methods and functional data to characterise the regulatory landscape of vertebrate Runx1. We identified REs that are conserved between human and mouse, many of which produce enhancer RNAs in diverse tissues. Genome-wide association studies detected single nucleotide polymorphisms in REs, some of which correlate with gene expression quantitative trait loci in tissues in which the RE is active. Our analyses also suggest that REs can be variant in haematological malignancies. In summary, our analysis identifies features of the RUNX1 regulatory landscape that are likely to be important for the regulation of this gene in normal and malignant haematopoiesis.
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Affiliation(s)
- Amarni L. Thomas
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand; (A.L.T.); (J.A.)
| | - Judith Marsman
- Department of Cardiology, University Medical Centre Utrecht, 3584 CX Utrecht, The Netherlands;
| | - Jisha Antony
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand; (A.L.T.); (J.A.)
- The Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
| | - William Schierding
- Liggins Institute, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
| | - Justin M. O’Sullivan
- The Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
- Liggins Institute, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton SO17 1BJ, UK
| | - Julia A. Horsfield
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand; (A.L.T.); (J.A.)
- The Maurice Wilkins Centre for Biodiscovery, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
- Genetics Otago Research Centre, University of Otago, Dunedin 9054, New Zealand
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8
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Kasprzyk ME, Sura W, Dzikiewicz-Krawczyk A. Enhancing B-Cell Malignancies-On Repurposing Enhancer Activity towards Cancer. Cancers (Basel) 2021; 13:3270. [PMID: 34210001 PMCID: PMC8269369 DOI: 10.3390/cancers13133270] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 06/24/2021] [Accepted: 06/28/2021] [Indexed: 01/19/2023] Open
Abstract
B-cell lymphomas and leukemias derive from B cells at various stages of maturation and are the 6th most common cancer-related cause of death. While the role of several oncogenes and tumor suppressors in the pathogenesis of B-cell neoplasms was established, recent research indicated the involvement of non-coding, regulatory sequences. Enhancers are DNA elements controlling gene expression in a cell type- and developmental stage-specific manner. They ensure proper differentiation and maturation of B cells, resulting in production of high affinity antibodies. However, the activity of enhancers can be redirected, setting B cells on the path towards cancer. In this review we discuss different mechanisms through which enhancers are exploited in malignant B cells, from the well-studied translocations juxtaposing oncogenes to immunoglobulin loci, through enhancer dysregulation by sequence variants and mutations, to enhancer hijacking by viruses. We also highlight the potential of therapeutic targeting of enhancers as a direction for future investigation.
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9
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Kikutake C, Yoshihara M, Suyama M. Pan-cancer analysis of non-coding recurrent mutations and their possible involvement in cancer pathogenesis. NAR Cancer 2021; 3:zcab008. [PMID: 34316701 PMCID: PMC8210231 DOI: 10.1093/narcan/zcab008] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/21/2021] [Accepted: 02/19/2021] [Indexed: 12/15/2022] Open
Abstract
Cancer-related mutations have been mainly identified in protein-coding regions. Recent studies have demonstrated that mutations in non-coding regions of the genome could also be a risk factor for cancer. However, the non-coding regions comprise 98% of the total length of the human genome and contain a huge number of mutations, making it difficult to interpret their impacts on pathogenesis of cancer. To comprehensively identify cancer-related non-coding mutations, we focused on recurrent mutations in non-coding regions using somatic mutation data from COSMIC and whole-genome sequencing data from The Cancer Genome Atlas (TCGA). We identified 21 574 recurrent mutations in non-coding regions that were shared by at least two different samples from both COSMIC and TCGA databases. Among them, 580 candidate cancer-related non-coding recurrent mutations were identified based on epigenomic and chromatin structure datasets. One of such mutation was located in RREB1 binding site that is thought to interact with TEAD1 promoter. Our results suggest that mutations may disrupt the binding of RREB1 to the candidate enhancer region and increase TEAD1 expression levels. Our findings demonstrate that non-coding recurrent mutations and coding mutations may contribute to the pathogenesis of cancer.
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Affiliation(s)
- Chie Kikutake
- Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Minako Yoshihara
- Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Mikita Suyama
- Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
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10
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Jung H, Lee KS, Choi JK. Comprehensive characterisation of intronic mis-splicing mutations in human cancers. Oncogene 2021; 40:1347-1361. [PMID: 33420369 PMCID: PMC7892346 DOI: 10.1038/s41388-020-01614-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/23/2020] [Accepted: 12/10/2020] [Indexed: 12/21/2022]
Abstract
Previous studies studying mis-splicing mutations were based on exome data and thus our current knowledge is largely limited to exons and the canonical splice sites. To comprehensively characterise intronic mis-splicing mutations, we analysed 1134 pan-cancer whole genomes and transcriptomes together with 3022 normal control samples. The ratio-based splicing analysis resulted in 678 somatic intronic mutations, with 46% residing in deep introns. Among the 309 deep intronic single nucleotide variants, 245 altered core splicing codes, with 38% activating cryptic splice sites, 12% activating cryptic polypyrimidine tracts, and 36% and 12% disrupting authentic polypyrimidine tracts and branchpoints, respectively. All the intronic cryptic splice sites were created at pre-existing GT/AG dinucleotides or by GC-to-GT conversion. Notably, 85 deep intronic mutations indicated gain of splicing enhancers or loss of splicing silencers. We found that 64 tumour suppressors were affected by intronic mutations and blood cancers showed higher proportion of deep intronic mutations. In particular, a telomere maintenance gene, POT1, was recurrently mis-spliced by deep intronic mutations in blood cancers. We validated a pseudoexon activation involving a splicing silencer in POT1 by CRISPR/Cas9. Our results shed light on previously unappreciated mechanisms by which noncoding mutations acting on splicing codes in deep introns contribute to tumourigenesis.
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Affiliation(s)
- Hyunchul Jung
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.
- Cancer Ageing and Somatic Mutation Programme, Wellcome Sanger Institute, Cambridge, UK.
| | - Kang Seon Lee
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea
| | - Jung Kyoon Choi
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.
- Penta Medix Co., Ltd., Seongnam-si, Gyeongi-do, 13449, Republic of Korea.
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11
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Rovirosa L, Ramos-Morales A, Javierre BM. The Genome in a Three-Dimensional Context: Deciphering the Contribution of Noncoding Mutations at Enhancers to Blood Cancer. Front Immunol 2020; 11:592087. [PMID: 33117405 PMCID: PMC7575776 DOI: 10.3389/fimmu.2020.592087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 09/21/2020] [Indexed: 11/13/2022] Open
Abstract
Associations between blood cancer and genetic predisposition, including both inherited variants and acquired mutations and epimutations, have been well characterized. However, the majority of these variants affect noncoding regions, making their mechanisms difficult to hypothesize and hindering the translation of these insights into patient benefits. Fueled by unprecedented progress in next-generation sequencing and computational integrative analysis, studies have started applying combinations of epigenetic, genome architecture, and functional assays to bridge the gap between noncoding variants and blood cancer. These complementary tools have not only allowed us to understand the potential malignant role of these variants but also to differentiate key variants, cell-types, and conditions from misleading ones. Here, we briefly review recent studies that have provided fundamental insights into our understanding of how noncoding mutations at enhancers predispose and promote blood malignancies in the context of spatial genome architecture.
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Affiliation(s)
- Llorenç Rovirosa
- 3D Chromatin Organization Group, Josep Carreras Leukaemia Research Institute (IJC), Germans Trias i Pujol, Badalona, Spain
| | - Alberto Ramos-Morales
- 3D Chromatin Organization Group, Josep Carreras Leukaemia Research Institute (IJC), Germans Trias i Pujol, Badalona, Spain
| | - Biola M Javierre
- 3D Chromatin Organization Group, Josep Carreras Leukaemia Research Institute (IJC), Germans Trias i Pujol, Badalona, Spain.,Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, Spain
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12
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Butzmann A, Sridhar K, Jangam D, Kumar J, Sahoo MK, Shahmarvand N, Warnke R, Rangasamy E, Pinsky BA, Ohgami RS. A comprehensive analysis of RHOA mutation positive and negative angioimmunoblastic T-cell lymphomas by targeted deep sequencing, expression profiling and single cell digital image analysis. Int J Mol Med 2020; 46:1466-1476. [PMID: 32945366 PMCID: PMC7447311 DOI: 10.3892/ijmm.2020.4686] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 04/22/2020] [Indexed: 11/29/2022] Open
Abstract
Angioimmunoblastic T-cell lymphoma (AITL) is a uniquely aggressive mature T-cell neoplasm. In recent years, recurrent genetic mutations in ras homolog family member A (RHOA), tet methylcytosine dioxygenase 2 (TET2), DNA methyltransferase 3 alpha (DNMT3A) and isocitrate dehydrogenase [NADP(+)] 2 (IDH2) have been identified as associated with AITL. However, a deep molecular study assessing both DNA mutations and RNA expression profile combined with digital image analysis is lacking. The present study aimed to evaluate the significance of molecular and morphologic features by high resolution digital image analysis in several cases of AITL. To do so, a total of 18 separate tissues from 10 patients with AITL were collected and analyzed. The results identified recurrent mutations in RHOA, TET2, DNMT3A, and IDH2, and demonstrated increased DNA mutations in coding, promoter and CCCTC binding factor (CTCF) binding sites in RHOA mutated AITLs vs. RHOA non-mutated cases, as well as increased overall survival in RHOA mutated patients. In addition, single cell computational digital image analysis morphologically characterized RHOA mutated AITL cells as distinct from cells from RHOA mutation negative patients. Computational analysis of single cell morphological parameters revealed that RHOA mutated cells have decreased eccentricity (more circular) compared with RHOA non-mutated AITL cells. In conclusion, the results from the present study expand our understanding of AITL and demonstrate that there are specific cell biological and morphological manifestations of RHOA mutations in cases of AITL.
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Affiliation(s)
| | - Kaushik Sridhar
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Diwash Jangam
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Jyoti Kumar
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | | | - Nahid Shahmarvand
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Roger Warnke
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
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13
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Brown J, Stepien AJ, Willem P. Landscape of copy number aberrations in esophageal squamous cell carcinoma from a high endemic region of South Africa. BMC Cancer 2020; 20:281. [PMID: 32252688 PMCID: PMC7137242 DOI: 10.1186/s12885-020-06788-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 03/26/2020] [Indexed: 02/08/2023] Open
Abstract
Background Esophageal squamous cell carcinoma (ESCC) is an aggressive cancer with one of the highest world incidences in the Eastern Cape region of South Africa. Several genome wide studies have been performed on ESCC cohorts from Asian countries, North America, Malawi and other parts of the world but none have been conducted on ESCC tumors from South Africa to date, where the molecular pathology and etiology of this disease remains unclear. We report here tumor associated copy number changes observed in 51 ESCC patients’ samples from the Eastern Cape province of South Africa. Methods We extracted tumor DNA from 51 archived ESCC specimens and interrogated tumor associated DNA copy number changes using Affymetrix® 500 K SNP array technology. The Genomic Identification of Significant Targets in Cancer (GISTIC 2.0) algorithm was applied to identify significant focal regions of gains and losses. Gains of the top recurrent cancer genes were validated by fluorescence in situ hybridization and their protein expression assessed by immunohistochemistry. Results Twenty-three significant focal gains were identified across samples. Gains involving the CCND1, MYC, EGFR and JAG1 loci recapitulated those described in studies on Asian and Malawian cohorts. The two most significant gains involved the chromosomal sub-bands 3q28, encompassing the TPRG1 gene and 11q13.3 including the CTTN, PPFIA1and SHANK2 genes. There was no significant homozygous loss and the most recurrent hemizygous deletion involved the B3GAT1 gene on chromosome 11q25. Focal gains on 11q13.3 in 37% of cases (19/51), consistently involved CTTN and SHANK2 genes. Twelve of these cases (23,5%), had a broader region of gain that also included the CCND1, FGF19, FGF4 and FGF3 genes. SHANK2 and CTTN are co-amplified in several cancers, these proteins interact functionally together and are involved in cell motility. Immunohistochemistry confirmed both Shank2 (79%) and cortactin (69%) protein overexpression in samples with gains of these genes. In contrast, cyclin D1 (65%) was moderately expressed in samples with CCND1 DNA gain. Conclusions This study reports copy number changes in a South African ESCC cohort and highlights similarities and differences with cohorts from Asia and Malawi. Our results strongly suggest a role for CTTN and SHANK2 in the pathogenesis of ESCC in South Africa.
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Affiliation(s)
- Jacqueline Brown
- School of Pathology, Department of Molecular Medicine and Haematology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg and the National Health Laboratory Services, Johannesburg, South Africa.
| | - Andrzej J Stepien
- Department of Anatomical Pathology, School of Medicine, Faculty of Health Science, Walter Sisulu University, National Health Laboratory Services/NMAH, Mthatha, South Africa
| | - Pascale Willem
- School of Pathology, Department of Molecular Medicine and Haematology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg and the National Health Laboratory Services, Johannesburg, South Africa
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14
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Abstract
The search for oncogenic mutations in haematological malignancies has largely focused on coding sequence variants. These variants have been critical in understanding these complex cancers in greater detail, ultimately leading to better disease monitoring, subtyping and prognostication. In contrast, the search for oncogenic variants in the noncoding genome has proven to be challenging given the vastness of the search space, the intrinsic difficulty in assessing the impact of variants that do not code for functional proteins, and our still primitive understanding of the function harboured by large parts of the noncoding genome. Recent studies have broken ground on this quest, identifying somatically acquired and recurrent mutations in the noncoding genome that activate the expression of proto-oncogenes. In this Review, we explore some of the best-characterised examples of noncoding mutations in haematological malignancies, and highlight how a significant majority of these variants impinge on gene regulation through the formation of aberrant enhancers and promoters. We delve into the challenges faced by those that embark on a search for noncoding driver mutations, and provide a framework distilled from studies that have successfully identified such variants to overcome some of the most salient hurdles. Finally, we discuss the current therapeutic strategies being explored to target the oncogenic mechanism supported by recurrent noncoding variants. We postulate that the continued discovery and functional characterisation of somatic variants in the noncoding genome will not only advance our understanding of haematological malignancies, but offer novel therapeutic avenues and provide important insights into transcriptional regulation on a broader scale. Summary: This Review highlights the challenging but rewarding search for somatic mutations in the noncoding genome, and how such variants nucleate aberrant enhancers and promoters that drive the expression of proto-oncogenes.
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Affiliation(s)
- Sunniyat Rahman
- Department of Haematology, UCL Cancer Institute, University College London, London WC1E 6DD, UK
| | - Marc R Mansour
- Department of Haematology, UCL Cancer Institute, University College London, London WC1E 6DD, UK
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Hernández-Lemus E, Reyes-Gopar H, Espinal-Enríquez J, Ochoa S. The Many Faces of Gene Regulation in Cancer: A Computational Oncogenomics Outlook. Genes (Basel) 2019; 10:E865. [PMID: 31671657 PMCID: PMC6896122 DOI: 10.3390/genes10110865] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 10/16/2019] [Accepted: 10/24/2019] [Indexed: 12/16/2022] Open
Abstract
Cancer is a complex disease at many different levels. The molecular phenomenology of cancer is also quite rich. The mutational and genomic origins of cancer and their downstream effects on processes such as the reprogramming of the gene regulatory control and the molecular pathways depending on such control have been recognized as central to the characterization of the disease. More important though is the understanding of their causes, prognosis, and therapeutics. There is a multitude of factors associated with anomalous control of gene expression in cancer. Many of these factors are now amenable to be studied comprehensively by means of experiments based on diverse omic technologies. However, characterizing each dimension of the phenomenon individually has proven to fall short in presenting a clear picture of expression regulation as a whole. In this review article, we discuss some of the more relevant factors affecting gene expression control both, under normal conditions and in tumor settings. We describe the different omic approaches that we can use as well as the computational genomic analysis needed to track down these factors. Then we present theoretical and computational frameworks developed to integrate the amount of diverse information provided by such single-omic analyses. We contextualize this within a systems biology-based multi-omic regulation setting, aimed at better understanding the complex interplay of gene expression deregulation in cancer.
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Affiliation(s)
- Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico.
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
| | - Helena Reyes-Gopar
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico.
| | - Jesús Espinal-Enríquez
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico.
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico.
| | - Soledad Ochoa
- Computational Genomics Division, National Institute of Genomic Medicine, Mexico City 14610, Mexico.
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