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Mundhara N, Sadhukhan P. Cracking the Codes behind Cancer Cells' Immune Evasion. Int J Mol Sci 2024; 25:8899. [PMID: 39201585 PMCID: PMC11354234 DOI: 10.3390/ijms25168899] [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: 07/12/2024] [Revised: 08/03/2024] [Accepted: 08/09/2024] [Indexed: 09/02/2024] Open
Abstract
Immune evasion is a key phenomenon in understanding tumor recurrence, metastasis, and other critical steps in tumor progression. The tumor microenvironment (TME) is in constant flux due to the tumor's ability to release signals that affect it, while immune cells within it can impact cancer cell behavior. Cancer cells undergo several changes, which can change the enrichment of different immune cells and modulate the activity of existing immune cells in the tumor microenvironment. Cancer cells can evade immune surveillance by downregulating antigen presentation or expressing immune checkpoint molecules. High levels of tumor-infiltrating lymphocytes (TILs) correlate with better outcomes, and robust immune responses can control tumor growth. On the contrary, increased enrichment of Tregs, myeloid-derived suppressor cells, and M2-like anti-inflammatory macrophages can hinder effective immune surveillance and predict poor prognosis. Overall, understanding these immune evasion mechanisms guides therapeutic strategies. Researchers aim to modulate the TME to enhance immune surveillance and improve patient outcomes. In this review article, we strive to summarize the composition of the tumor immune microenvironment, factors affecting the tumor immune microenvironment (TIME), and different therapeutic modalities targeting the immune cells. This review is a first-hand reference to understand the basics of immune surveillance and immune evasion.
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Affiliation(s)
| | - Pritam Sadhukhan
- Department of Oncology, Johns Hopkins University, Baltimore, MD 21287, USA
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2
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Reich O, Regauer S, Gutierrez AL, Kashofer K. Copy Number Profiling Implicates Thin High-Grade Squamous Intraepithelial Lesions as a True Precursor of Cervical Human Papillomavirus-Induced Squamous Cell Cancer. J Transl Med 2024; 104:102108. [PMID: 38977078 DOI: 10.1016/j.labinv.2024.102108] [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: 03/08/2024] [Revised: 06/11/2024] [Accepted: 06/25/2024] [Indexed: 07/10/2024] Open
Abstract
Full-thickness high-grade squamous intraepithelial lesions (HSIL) are precursors of invasive cervical squamous cell carcinoma (SCC). The World Health Organization and Lower Anogenital Squamous Terminology Standardization Project for human papilloma virus (HPV)-associated lesions divide full-thickness HSIL of the cervix into thin HSIL with thickness of 1 to 9 cell layers and the typical full-thickness HSIL of >10 cell layers. Although HPV oncogene transcripts and p16ink4a overexpression, as markers of transforming HPV infection, are detectable in thin HSIL, the biological significance of thin HSIL in cervical carcinogenesis remains poorly understood. To further characterize thin HSIL, we performed a comparative study of chromosomal copy number variations (CNV), an analysis of dysregulated genes present in the segments with CNV, and a generalized genetic complexity calculation for 31 thin HSIL, 31 thick HSIL, 24 microinvasive SCC (pT1a SCC), and 22 highly invasive SCC samples. Thin HSIL share various CNV and specific dysregulated gene pathways with thick HSIL and invasive SCC. Thin HSIL exhibited an average CNV of 11.6% compared with 14.1% for thick HSIL, 15.5% for pT1a SCC, and 26.6% for highly invasive SCC. The CNV included gains at 1q and 3q (40% and 43%, respectively), partial loss of 3p, and loss of chromosomes 11 (18%), 16 (50%), 20 (35%), and 22 (40%). Pathways affected solely in thin HSIL were those enhancing immune evasion and primarily involved the (interleukin) IL6, IL21, and IL23 genes. ILs are transiently upregulated in response to infection and play a crucial role in mounting antitumor T-cell activity. Deregulation reflects an attempt by the HPV to evade the initial immune response of the host. The primary pathways shared by thick HSIL and invasive SCC were interactions between lymphoid and nonlymphoid cells, NOTCH2 signaling, tight junction interactions (primarily of the claudin family), and FGR2 alternative splicing. Our results show that thin HSIL carry similar genetic changes as thick HSIL and SCC, indicating that thin HSIL are true precursor lesions that can progress to thick HSIL and SCC.
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Affiliation(s)
- Olaf Reich
- Department of Obstetrics and Gynecology, Medical University of Graz, Graz, Austria
| | - Sigrid Regauer
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Ariadna Lara Gutierrez
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Karl Kashofer
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria.
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Bhogal T, Giannoudis A, Sokol E, Ali S, Palmieri C. Analysis of Breast Cancer Brain Metastases Reveals an Enrichment of Cyclin-Dependent Kinase 12 Structural Rearrangements in Human Epidermal Growth Factor Receptor 2-Positive Disease. JCO Precis Oncol 2024; 8:e2300639. [PMID: 38838276 DOI: 10.1200/po.23.00639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 02/26/2024] [Accepted: 04/09/2024] [Indexed: 06/07/2024] Open
Abstract
PURPOSE Genomic alterations have been identified in patients with breast cancer brain metastases (BCBMs), but large structural rearrangements have not been extensively studied. MATERIALS AND METHODS We analyzed the genomic profiles of 822 BCBMs and compared them with 11,988 local, breast-biopsied breast cancers (BCs) and 15,516 non-CNS metastases (Non-CNS M) derived from formalin-fixed paraffin-embedded material using targeted capture sequencing. RESULTS Nine genes with structural rearrangements were more prevalent within BCBMs as compared with local BCs and Non-CNS M (adjusted-P < .05) and displayed a prevalence of >0.5%. The most common rearrangements within BCBMs involves cyclin-dependent kinase 12 (CDK12; 3.53%) as compared with the local BC (0.86%; adjusted-P = 7.1 × 10-8) and Non-CNS M specimens (0.68%; adjusted-P = 3.7 × 10-10). CDK12 rearrangements had a significantly higher frequency within human epidermal growth factor receptor 2 (HER2)-positive BCBMs (14.59%) compared with HER2-positive BCs (7.80%; P = 4.6 × 10-3) and HER2-positive Non-CNS M (7.87%; P = 4.8 × 10-3). CONCLUSION The most common structural rearrangements involve CDK12 with the higher prevalence in HER2-positive BCBMs. These data support more detailed investigation of the role and importance of CDK12 rearrangements in BCBMs.
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Affiliation(s)
- Talvinder Bhogal
- Institute of Systems, Molecular and Integrative Biology, Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
- The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, United Kingdom
| | - Athina Giannoudis
- Institute of Systems, Molecular and Integrative Biology, Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Ethan Sokol
- Computational Discovery, Foundation Medicine, Inc, Cambridge, MA
| | - Simak Ali
- Department of Surgery & Cancer, Imperial College, London, United Kingdom
| | - Carlo Palmieri
- Institute of Systems, Molecular and Integrative Biology, Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
- The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, United Kingdom
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Olivera Santana BL, de Loyola MB, Gualberto ACM, Pittella-Silva F. Genetic Alterations of SMYD4 in Solid Tumors Using Integrative Multi-Platform Analysis. Int J Mol Sci 2024; 25:6097. [PMID: 38892284 PMCID: PMC11172816 DOI: 10.3390/ijms25116097] [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: 04/30/2024] [Revised: 05/21/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
SMYD4 is a member of the SMYD family that has lysine methyltransferase function. Little is known about the roles of SMYD4 in cancer. The aim of this study is to investigate genetic alterations in the SMYD4 gene across the most prevalent solid tumors and determine its potential as a biomarker. We performed an integrative multi-platform analysis of the most common mutations, copy number alterations (CNAs), and mRNA expression levels of the SMYD family genes using cohorts available at the Cancer Genome Atlas (TCGA), cBioPortal, and the Catalogue of Somatic Mutations in Cancer (COSMIC). SMYD genes displayed a lower frequency of mutations across the studied tumors, with none of the SMYD4 mutations detected demonstrating sufficient discriminatory power to serve as a biomarker. In terms of CNAs, SMYD4 consistently exhibited heterozygous loss and downregulation across all tumors evaluated. Moreover, SMYD4 showed low expression in tumor samples compared to normal samples, except for stomach adenocarcinoma. SMYD4 demonstrated a frequent negative correlation with other members of the SMYD family and a positive correlation between CNAs and mRNA expression. Additionally, patients with low SMYD4 expression in STAD and LUAD tumors exhibited significantly poorer overall survival. SMYD4 demonstrated its role as a tumor suppressor in the majority of tumors evaluated. The consistent downregulation of SMYD4, coupled with its association with cancer progression, underscores its potential usefulness as a biomarker.
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Affiliation(s)
| | | | | | - Fabio Pittella-Silva
- Laboratory of Molecular Pathology of Cancer, Faculty of Healthy Sciences, University of Brasília, Federal District, Brasília 70910-900, Brazil; (B.L.O.S.); (M.B.d.L.); (A.C.M.G.)
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Raj A, Petreaca RC, Mirzaei G. Multi-Omics Integration for Liver Cancer Using Regression Analysis. Curr Issues Mol Biol 2024; 46:3551-3562. [PMID: 38666952 PMCID: PMC11049490 DOI: 10.3390/cimb46040222] [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: 02/18/2024] [Revised: 04/11/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Genetic biomarkers have played a pivotal role in the classification, prognostication, and guidance of clinical cancer therapies. Large-scale and multi-dimensional analyses of entire cancer genomes, as exemplified by projects like The Cancer Genome Atlas (TCGA), have yielded an extensive repository of data that holds the potential to unveil the underlying biology of these malignancies. Mutations stand out as the principal catalysts of cellular transformation. Nonetheless, other global genomic processes, such as alterations in gene expression and chromosomal re-arrangements, also play crucial roles in conferring cellular immortality. The incorporation of multi-omics data specific to cancer has demonstrated the capacity to enhance our comprehension of the molecular mechanisms underpinning carcinogenesis. This report elucidates how the integration of comprehensive data on methylation, gene expression, and copy number variations can effectively facilitate the unsupervised clustering of cancer samples. We have identified regressors that can effectively classify tumor and normal samples with an optimal integration of RNA sequencing, DNA methylation, and copy number variation while also achieving significant p-values. Further, these regressors were trained using linear and logistic regression with k-means clustering. For comparison, we employed autoencoder- and stacking-based omics integration and computed silhouette scores to evaluate the clusters. The proof of concept is illustrated using liver cancer data. Our analysis serves to underscore the feasibility of unsupervised cancer classification by considering genetic markers beyond mutations, thereby emphasizing the clinical relevance of additional global cellular parameters that contribute to the transformative process in cells. This work is clinically relevant because changes in gene expression and genomic re-arrangements have been shown to be signatures of cellular transformation across cancers, as well as in liver cancers.
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Affiliation(s)
- Aditya Raj
- Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA;
| | - Ruben C. Petreaca
- Department of Molecular Genetics, The Ohio State University, Marion, OH 43302, USA;
- Cancer Biology Program, The Ohio State University James Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Golrokh Mirzaei
- Department of Computer Science and Engineering, The Ohio State University, Marion, OH 43302, USA
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Ariffen NA, Ornellas AA, Alves G, Shana'ah AM, Sharma S, Kankel S, Jamali E, Theis B, Liehr T. Amplification of different satellite-DNAs in prostate cancer. Pathol Res Pract 2024; 256:155269. [PMID: 38522124 DOI: 10.1016/j.prp.2024.155269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 03/26/2024]
Abstract
In various solid tumors and corresponding cell lines, prior research has identified acquired copy number variations (CNVs) encompassing centromeric satellite-DNA sequences. This observation emerged from the application of centromeric probes (satellite-DNA) as controls in molecular cytogenetic investigations and diagnostics, although these accounts were largely anecdotal. In this study, we conducted a systematic screening for satellite-DNA sequence amplification in 31 prostate cancer (PCa) samples, a prevalent malignancy in men characterized by discernible molecular cytogenetic aberrations. Notably, PCa-typical genetic aberrations, such as TMPRSS2-ERG gene rearrangements and PTEN deletion, were identified in 12 and 6 out of the 31 PCa samples, respectively. Overall, PCa exhibited genomic instability marked by chromosomal gain or loss of signals across nearly all tested satellite-DNA regions, with particular emphasis on the Y-chromosome (18/31 cases). Remarkably, 5/12 PCa samples representing more advanced metastatic cancer displayed amplification of one or two satellite DNA stretches each, being detectable as blocks analogous to homogenously staining regions. Notably, these stretches included α-satellite DNA derived from chromosomes 2, 3, 4, 15, and 20, as well as satellite-III DNAs (D1Z1 and DYZ1). These findings align with recent discoveries indicating that α-satellite DNAs are expressed as long-non-coding RNAs in advanced cancer, particularly in the context of PCa.
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Affiliation(s)
- Nurul Aida Ariffen
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Jena, Germany; Laboratory, Subang Jaya Medical Centre, Subang Jaya, Selangor, Malaysia
| | | | - Gilda Alves
- Circulating Biomarkers Laboratory, Faculty of Medical Sciences, Department of General Pathology, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Ahmad Moay Shana'ah
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Jena, Germany
| | - Samiha Sharma
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Jena, Germany
| | - Stefanie Kankel
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Jena, Germany
| | - Elena Jamali
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Jena, Germany
| | - Bernhard Theis
- Jena University Hospital, Friedrich Schiller University, Institute of Forensic Medicine, Section Pathology, Jena, Germany
| | - Thomas Liehr
- Jena University Hospital, Friedrich Schiller University, Institute of Human Genetics, Jena, Germany.
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Otmani K, Rouas R, Berehab M, Lewalle P. The regulatory mechanisms of oncomiRs in cancer. Biomed Pharmacother 2024; 171:116165. [PMID: 38237348 DOI: 10.1016/j.biopha.2024.116165] [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: 10/26/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 02/08/2024] Open
Abstract
Cancer development is a complex process that primarily results from the combination of genetic alterations and the dysregulation of major signalling pathways due to interference with the epigenetic machinery. As major epigenetic regulators, miRNAs are central players in the control of many key tumour development factors. These miRNAs have been classified as oncogenic miRNAs (oncomiRs) when they target tumour suppressor genes and tumour suppressor miRNAs (TS miRNAs) when they inhibit oncogene protein expression. Most of the mechanisms that modulate oncomiR expression are linked to transcriptional or posttranscriptional regulation. However, non-transcriptional processes, such as gene amplification, have been described as alternative processes that are responsible for increasing oncomiR expression. The current review summarises the different mechanisms controlling the upregulation of oncomiR expression in cancer cells and the tumour microenvironment (TME). Detailed knowledge of the mechanism underlying the regulation of oncomiR expression in cancer may pave the way for understanding the critical role of oncomiRs in cancer development and progression.
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Affiliation(s)
- Khalid Otmani
- Hematology Laboratory, Hematology Department, Hôpital Universitaire de Bruxelles (H.U.B.) Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
| | - Redouane Rouas
- Hematology Laboratory, Hematology Department, Hôpital Universitaire de Bruxelles (H.U.B.) Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Mimoune Berehab
- Hematology Laboratory, Hematology Department, Hôpital Universitaire de Bruxelles (H.U.B.) Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium
| | - Philippe Lewalle
- Hematology Laboratory, Hematology Department, Hôpital Universitaire de Bruxelles (H.U.B.) Institut Jules Bordet, Université Libre de Bruxelles, Brussels, Belgium.
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8
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Heng E, Thanedar S, Heng HH. The Importance of Monitoring Non-clonal Chromosome Aberrations (NCCAs) in Cancer Research. Methods Mol Biol 2024; 2825:79-111. [PMID: 38913304 DOI: 10.1007/978-1-0716-3946-7_4] [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] [Indexed: 06/25/2024]
Abstract
Cytogenetic analysis has traditionally focused on the clonal chromosome aberrations, or CCAs, and considered the large number of diverse non-clonal chromosome aberrations, or NCCAs, as insignificant noise. Our decade-long karyotype evolutionary studies have unexpectedly demonstrated otherwise. Not only the baseline of NCCAs is associated with fuzzy inheritance, but the frequencies of NCCAs can also be used to reliably measure genome or chromosome instability (CIN). According to the Genome Architecture Theory, CIN is the common driver of cancer evolution that can unify diverse molecular mechanisms, and genome chaos, including chromothripsis, chromoanagenesis, and polypoidal giant nuclear and micronuclear clusters, and various sizes of chromosome fragmentations, including extrachromosomal DNA, represent some extreme forms of NCCAs that play a key role in the macroevolutionary transition. In this chapter, the rationale, definition, brief history, and current status of NCCA research in cancer are discussed in the context of two-phased cancer evolution and karyotype-coded system information. Finally, after briefly describing various types of NCCAs, we call for more research on NCCAs in future cytogenetics.
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Affiliation(s)
- Eric Heng
- Stanford University, Stanford, CA, USA
| | - Sanjana Thanedar
- Center for Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA
| | - Henry H Heng
- Molecular Medicine and Genetics, Wayne State University School of Medicine, Detroit, MI, USA.
- Department of Pathology, Wayne State University School of Medicine, Detroit, MI, USA.
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Dou R, Kang S, Yang H, Zhang W, Zhang Y, Liu Y, Ping Y, Pang B. Identifying the driver miRNAs with somatic copy number alterations driving dysregulated ceRNA networks in cancers. Biol Direct 2023; 18:79. [PMID: 37993951 PMCID: PMC10666415 DOI: 10.1186/s13062-023-00438-x] [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: 09/21/2023] [Accepted: 11/15/2023] [Indexed: 11/24/2023] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) play critical roles in cancer initiation and progression, which were critical components to maintain the dynamic balance of competing endogenous RNA (ceRNA) networks. Somatic copy number alterations (SCNAs) in the cancer genome could disturb the transcriptome level of miRNA to deregulate this balance. However, the driving effects of SCNAs of miRNAs were insufficiently understood. METHODS In this study, we proposed a method to dissect the functional roles of miRNAs under different copy number states and identify driver miRNAs by integrating miRNA SCNAs profile, miRNA-target relationships and expression profiles of miRNA, mRNA and lncRNA. RESULTS Applying our method to 813 TCGA breast cancer (BRCA) samples, we identified 29 driver miRNAs whose SCNAs significantly and concordantly regulated their own expression levels and further inversely dysregulated expression levels of their targets or disturbed the miRNA-target networks they directly involved. Based on miRNA-target networks, we further constructed dynamic ceRNA networks driven by driver SCNAs of miRNAs and identified three different patterns of SCNA interference in the miRNA-mediated dynamic ceRNA networks. Survival analysis of driver miRNAs showed that high-level amplifications of four driver miRNAs (including has-miR-30d-3p, has-mir-30b-5p, has-miR-30d-5p and has-miR-151a-3p) in 8q24 characterized a new BRCA subtype with poor prognosis and contributed to the dysfunction of cancer-associated hallmarks in a complementary way. The SCNAs of driver miRNAs across different cancer types contributed to the cancer development by dysregulating different components of the same cancer hallmarks, suggesting the cancer specificity of driver miRNA. CONCLUSIONS These results demonstrate the efficacy of our method in identifying driver miRNAs and elucidating their functional roles driven by endogenous SCNAs, which is useful for interpreting cancer genomes and pathogenic mechanisms.
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Affiliation(s)
- Renjie Dou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Shaobo Kang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Huan Yang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Wanmei Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Yijing Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Yuanyuan Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China
| | - Yanyan Ping
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
| | - Bo Pang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, Heilongjiang, China.
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Schmidt H, Sashittal P, Raphael BJ. A zero-agnostic model for copy number evolution in cancer. PLoS Comput Biol 2023; 19:e1011590. [PMID: 37943952 PMCID: PMC10662746 DOI: 10.1371/journal.pcbi.1011590] [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: 07/18/2023] [Revised: 11/21/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023] Open
Abstract
MOTIVATION New low-coverage single-cell DNA sequencing technologies enable the measurement of copy number profiles from thousands of individual cells within tumors. From this data, one can infer the evolutionary history of the tumor by modeling transformations of the genome via copy number aberrations. Copy number aberrations alter multiple adjacent genomic loci, violating the standard phylogenetic assumption that loci evolve independently. Thus, specialized models to infer copy number phylogenies have been introduced. A widely used model is the copy number transformation (CNT) model in which a genome is represented by an integer vector and a copy number aberration is an event that either increases or decreases the number of copies of a contiguous segment of the genome. The CNT distance between a pair of copy number profiles is the minimum number of events required to transform one profile to another. While this distance can be computed efficiently, no efficient algorithm has been developed to find the most parsimonious phylogeny under the CNT model. RESULTS We introduce the zero-agnostic copy number transformation (ZCNT) model, a simplification of the CNT model that allows the amplification or deletion of regions with zero copies. We derive a closed form expression for the ZCNT distance between two copy number profiles and show that, unlike the CNT distance, the ZCNT distance forms a metric. We leverage the closed-form expression for the ZCNT distance and an alternative characterization of copy number profiles to derive polynomial time algorithms for two natural relaxations of the small parsimony problem on copy number profiles. While the alteration of zero copy number regions allowed under the ZCNT model is not biologically realistic, we show on both simulated and real datasets that the ZCNT distance is a close approximation to the CNT distance. Extending our polynomial time algorithm for the ZCNT small parsimony problem, we develop an algorithm, Lazac, for solving the large parsimony problem on copy number profiles. We demonstrate that Lazac outperforms existing methods for inferring copy number phylogenies on both simulated and real data.
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Affiliation(s)
- Henri Schmidt
- Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America
| | - Palash Sashittal
- Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America
| | - Benjamin J. Raphael
- Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America
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Qayoom S, Agarwal A, Agarwal P, Anand A, Raj R, Gupta S, Singh A. Evaluation of HER2Neu Status in Periampullary Cancers in Tertiary Care Centre in Northern India: A Three-Year Retrospective Study. Cureus 2023; 15:e46646. [PMID: 37937013 PMCID: PMC10627433 DOI: 10.7759/cureus.46646] [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] [Accepted: 10/01/2023] [Indexed: 11/09/2023] Open
Abstract
Background Periampullary carcinoma is a heterogeneous group of malignancies, and despite advances in treatment, its mortality rate remains high. A better understanding of the disease and factors influencing its course and potential therapeutic targets is imperative for improving its overall outcome. Through comprehensive cytogenetic analysis, it has been established that the development of periampullary carcinogenesis involves specific chromosomal aberrations, dysregulation of oncogenes, and suppression of genes in a multistep progressive manner. Our study aimed to evaluate the expression of human epidermal growth factor (HER2Neu) in periampullary cancers using immunohistochemistry and fluorescent in situ hybridization. Material and methods This was a retrospective study in which all consecutive cases of periampullary carcinoma diagnosed over a period of three years were evaluated. HER2neu expression was analyzed using immunohistochemistry (IHC) and fluorescent in-situ hybridization (FISH). Histopathological evaluation was performed according to the College of American Pathologists (CAP) protocol. Results Twenty patients were diagnosed during the study period. On histomorphologic analysis, most cases (n=17) were diagnosed as well-differentiated adenocarcinomas, the most common subsite being the ampulla of Vater and pathological staging as pT2N0Mx. On IHC, no overexpression of HER2Neu was reported in any case, but FISH analysis revealed one point of amplification with HER/centromere enumerator probe (CEP) ratio>2. Conclusion HER2Neu evaluation in periampullary carcinoma has limited value; thus, it could have a restricted therapeutic role.
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Affiliation(s)
- Sumaira Qayoom
- Pathology, King George's Medical University, Lucknow, IND
| | | | - Preeti Agarwal
- Pathology, King George's Medical University, Lucknow, IND
| | - Akshay Anand
- Surgery, King George's Medical University, Lucknow, IND
| | - Rashmi Raj
- Pathology, King George's Medical University, Lucknow, IND
| | - Sameer Gupta
- Surgical Oncology, King George's Medical University, Lucknow, IND
| | - Ajay Singh
- Pathology, King George's Medical University, Lucknow, IND
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Androutsopoulos G, Styliara I, Zarogianni E, Lazurko N, Valasoulis G, Michail G, Adonakis G. The ErbB Signaling Network and Its Potential Role in Endometrial Cancer. EPIGENOMES 2023; 7:24. [PMID: 37873809 PMCID: PMC10594534 DOI: 10.3390/epigenomes7040024] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/24/2023] [Accepted: 09/26/2023] [Indexed: 10/25/2023] Open
Abstract
Endometrial cancer (EC) is the second most common malignancy of the female reproductive system worldwide. The updated EC classification emphasizes the significant role of various signaling pathways such as PIK3CA-PIK3R1-PTEN and RTK/RAS/β-catenin in EC pathogenesis. Some of these pathways are part of the EGF system signaling network, which becomes hyperactivated by various mechanisms and participates in cancer pathogenesis. In EC, the expression of ErbB receptors is significantly different, compared with the premenopausal and postmenopausal endometrium, mainly because of the increased transcriptional activity of ErbB encoding genes in EC cells. Moreover, there are some differences in ErbB-2 receptor profile among EC subgroups that could be explained by the alterations in pathophysiology and clinical behavior of various EC histologic subtypes. The fact that ErbB-2 receptor expression is more common in aggressive EC histologic subtypes (papillary serous and clear cell) could indicate a future role of ErbB-targeted therapies in well-defined EC subgroups with overexpression of ErbB receptors.
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Affiliation(s)
- Georgios Androutsopoulos
- Gynaecological Oncology Unit, Department of Obstetrics and Gynaecology, School of Medicine, University of Patras, 26504 Rion, Greece
- Department of Obstetrics and Gynaecology, School of Medicine, University of Patras, 26504 Rion, Greece; (I.S.); (E.Z.); (N.L.); (G.M.); (G.A.)
| | - Ioanna Styliara
- Department of Obstetrics and Gynaecology, School of Medicine, University of Patras, 26504 Rion, Greece; (I.S.); (E.Z.); (N.L.); (G.M.); (G.A.)
| | - Evgenia Zarogianni
- Department of Obstetrics and Gynaecology, School of Medicine, University of Patras, 26504 Rion, Greece; (I.S.); (E.Z.); (N.L.); (G.M.); (G.A.)
| | - Nadia Lazurko
- Department of Obstetrics and Gynaecology, School of Medicine, University of Patras, 26504 Rion, Greece; (I.S.); (E.Z.); (N.L.); (G.M.); (G.A.)
| | - George Valasoulis
- Department of Obstetrics and Gynaecology, Medical School, University of Thessaly, 41334 Larisa, Greece;
- Hellenic National Public Health Organization—ECDC, 15123 Athens, Greece
| | - Georgios Michail
- Department of Obstetrics and Gynaecology, School of Medicine, University of Patras, 26504 Rion, Greece; (I.S.); (E.Z.); (N.L.); (G.M.); (G.A.)
| | - Georgios Adonakis
- Department of Obstetrics and Gynaecology, School of Medicine, University of Patras, 26504 Rion, Greece; (I.S.); (E.Z.); (N.L.); (G.M.); (G.A.)
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13
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Rodriguez SMB, Kamel A, Ciubotaru GV, Onose G, Sevastre AS, Sfredel V, Danoiu S, Dricu A, Tataranu LG. An Overview of EGFR Mechanisms and Their Implications in Targeted Therapies for Glioblastoma. Int J Mol Sci 2023; 24:11110. [PMID: 37446288 DOI: 10.3390/ijms241311110] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 06/29/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
Despite all of the progress in understanding its molecular biology and pathogenesis, glioblastoma (GBM) is one of the most aggressive types of cancers, and without an efficient treatment modality at the moment, it remains largely incurable. Nowadays, one of the most frequently studied molecules with important implications in the pathogenesis of the classical subtype of GBM is the epidermal growth factor receptor (EGFR). Although many clinical trials aiming to study EGFR targeted therapies have been performed, none of them have reported promising clinical results when used in glioma patients. The resistance of GBM to these therapies was proven to be both acquired and innate, and it seems to be influenced by a cumulus of factors such as ineffective blood-brain barrier penetration, mutations, heterogeneity and compensatory signaling pathways. Recently, it was shown that EGFR possesses kinase-independent (KID) pro-survival functions in cancer cells. It seems imperative to understand how the EGFR signaling pathways function and how they interconnect with other pathways. Furthermore, it is important to identify the mechanisms of drug resistance and to develop better tailored therapeutic agents.
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Affiliation(s)
- Silvia Mara Baez Rodriguez
- Neurosurgical Department, Clinical Emergency Hospital "Bagdasar-Arseni", Soseaua Berceni 12, 041915 Bucharest, Romania
| | - Amira Kamel
- Neurosurgical Department, Clinical Emergency Hospital "Bagdasar-Arseni", Soseaua Berceni 12, 041915 Bucharest, Romania
| | - Gheorghe Vasile Ciubotaru
- Neurosurgical Department, Clinical Emergency Hospital "Bagdasar-Arseni", Soseaua Berceni 12, 041915 Bucharest, Romania
| | - Gelu Onose
- Neuromuscular Rehabilitation Department, Clinical Emergency Hospital "Bagdasar-Arseni", Soseaua Berceni 12, 041915 Bucharest, Romania
| | - Ani-Simona Sevastre
- Department of Pharmaceutical Technology, Faculty of Pharmacy, University of Medicine and Pharmacy of Craiova, Str. Petru Rares nr. 2-4, 710204 Craiova, Romania
| | - Veronica Sfredel
- Department of Physiology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, Str. Petru Rares nr. 2-4, 710204 Craiova, Romania
| | - Suzana Danoiu
- Department of Physiology, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, Str. Petru Rares nr. 2-4, 710204 Craiova, Romania
| | - Anica Dricu
- Department of Biochemistry, Faculty of Medicine, University of Medicine and Pharmacy of Craiova, Str. Petru Rares nr. 2-4, 710204 Craiova, Romania
| | - Ligia Gabriela Tataranu
- Neurosurgical Department, Clinical Emergency Hospital "Bagdasar-Arseni", Soseaua Berceni 12, 041915 Bucharest, Romania
- Department of Neurosurgery, Faculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 020022 Bucharest, Romania
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14
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Schmidt H, Sashittal P, Raphael BJ. A zero-agnostic model for copy number evolution in cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.10.536302. [PMID: 37090633 PMCID: PMC10120719 DOI: 10.1101/2023.04.10.536302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Motivation New low-coverage single-cell DNA sequencing technologies enable the measurement of copy number profiles from thousands of individual cells within tumors. From this data, one can infer the evolutionary history of the tumor by modeling transformations of the genome via copy number aberrations. A widely used model to infer such copy number phylogenies is the copy number transformation (CNT) model in which a genome is represented by an integer vector and a copy number aberration is an event that either increases or decreases the number of copies of a contiguous segment of the genome. The CNT distance between a pair of copy number profiles is the minimum number of events required to transform one profile to another. While this distance can be computed efficiently, no efficient algorithm has been developed to find the most parsimonious phylogeny under the CNT model. Results We introduce the zero-agnostic copy number transformation (ZCNT) model, a simplification of the CNT model that allows the amplification or deletion of regions with zero copies. We derive a closed form expression for the ZCNT distance between two copy number profiles and show that, unlike the CNT distance, the ZCNT distance forms a metric. We leverage the closed-form expression for the ZCNT distance and an alternative characterization of copy number profiles to derive polynomial time algorithms for two natural relaxations of the small parsimony problem on copy number profiles. While the alteration of zero copy number regions allowed under the ZCNT model is not biologically realistic, we show on both simulated and real datasets that the ZCNT distance is a close approximation to the CNT distance. Extending our polynomial time algorithm for the ZCNT small parsimony problem, we develop an algorithm, Lazac, for solving the large parsimony problem on copy number profiles. We demonstrate that Lazac outperforms existing methods for inferring copy number phylogenies on both simulated and real data.
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Affiliation(s)
- Henri Schmidt
- Department of Computer Science, Princeton University, NJ, USA
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15
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López-López D, Roldán G, Fernández-Rueda JL, Bostelmann G, Carmona R, Aquino V, Perez-Florido J, Ortuño F, Pita G, Núñez-Torres R, González-Neira A, Peña-Chilet M, Dopazo J. A crowdsourcing database for the copy-number variation of the Spanish population. Hum Genomics 2023; 17:20. [PMID: 36894999 PMCID: PMC9997023 DOI: 10.1186/s40246-023-00466-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 02/25/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Despite being a very common type of genetic variation, the distribution of copy-number variations (CNVs) in the population is still poorly understood. The knowledge of the genetic variability, especially at the level of the local population, is a critical factor for distinguishing pathogenic from non-pathogenic variation in the discovery of new disease variants. RESULTS Here, we present the SPAnish Copy Number Alterations Collaborative Server (SPACNACS), which currently contains copy number variation profiles obtained from more than 400 genomes and exomes of unrelated Spanish individuals. By means of a collaborative crowdsourcing effort whole genome and whole exome sequencing data, produced by local genomic projects and for other purposes, is continuously collected. Once checked both, the Spanish ancestry and the lack of kinship with other individuals in the SPACNACS, the CNVs are inferred for these sequences and they are used to populate the database. A web interface allows querying the database with different filters that include ICD10 upper categories. This allows discarding samples from the disease under study and obtaining pseudo-control CNV profiles from the local population. We also show here additional studies on the local impact of CNVs in some phenotypes and on pharmacogenomic variants. SPACNACS can be accessed at: http://csvs.clinbioinfosspa.es/spacnacs/ . CONCLUSION SPACNACS facilitates disease gene discovery by providing detailed information of the local variability of the population and exemplifies how to reuse genomic data produced for other purposes to build a local reference database.
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Affiliation(s)
- Daniel López-López
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.,Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, Seville, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain
| | - Gema Roldán
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain
| | - Jose L Fernández-Rueda
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain
| | - Gerrit Bostelmann
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain
| | - Rosario Carmona
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain
| | - Virginia Aquino
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain
| | - Javier Perez-Florido
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.,Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, Seville, Spain
| | - Francisco Ortuño
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.,Department of Computer Architecture and Computer Technology, University of Granada, 18071, Granada, Spain
| | - Guillermo Pita
- Human Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain
| | - Rocío Núñez-Torres
- Human Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain
| | - Anna González-Neira
- Human Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029, Madrid, Spain
| | | | - María Peña-Chilet
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.,Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, Seville, Spain.,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain
| | - Joaquin Dopazo
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain. .,Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, Seville, Spain. .,Centro de Investigación Biomédica en Red en Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain. .,FPS/ELIXIR-ES, Andalusian Public Foundation Progress and Health-FPS, 41013, Seville, Spain.
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16
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Sakamoto M, Patil T. MET alterations in advanced non-small cell lung cancer. Lung Cancer 2023; 178:254-268. [PMID: 36924573 DOI: 10.1016/j.lungcan.2023.02.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 01/23/2023] [Accepted: 02/21/2023] [Indexed: 03/05/2023]
Abstract
Targeting the MET pathway in advanced NSCLC has been of particular interest due to its role as both a primary oncogenic driver and secondary oncogenic driver of acquired resistance. Activation of the MET pathway can occur through several mechanisms, which can complicate the diagnostic and treatment approach. Recently, several MET-directed therapies have been developed with promising results. In this narrative review, we summarize the biology and mechanism of MET as a clinically relevant driver mutation, distinct MET alterations including diagnostic challenges, significance in the setting of acquired resistance, and novel treatment strategies in advanced NSCLC.
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Affiliation(s)
- Mandy Sakamoto
- Department of Medicine, Division of Medical Oncology, United States
| | - Tejas Patil
- Department of Medicine, Division of Medical Oncology, United States.
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17
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Qiu L, Zhao L, Hou R, Zhao W, Zhang S, Lin Z, Teng H, Zhao J. Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features. Comput Med Imaging Graph 2023; 104:102176. [PMID: 36682215 DOI: 10.1016/j.compmedimag.2022.102176] [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: 07/18/2022] [Revised: 11/10/2022] [Accepted: 12/28/2022] [Indexed: 01/12/2023]
Abstract
Classification of subtype and grade is imperative in the clinical diagnosis and prognosis of cancer. Many deep learning-based studies related to cancer classification are based on pathology and genomics. However, most of them are late fusion-based and require full supervision in pathology image analysis. To address these problems, we present an integrated framework for cancer classification with pathology and genomics data. This framework consists of two major parts, a weakly supervised model for extracting patch features from whole slide images (WSIs), and a hierarchical multimodal fusion model. The weakly supervised model can make full use of WSI labels, and mitigate the effects of label noises by the self-training strategy. The generic multimodal fusion model is capable of capturing deep interaction information through multi-level attention mechanisms and controlling the expressiveness of each modal representation. We validate our approach on glioma and lung cancer datasets from The Cancer Genome Atlas (TCGA). The results demonstrate that the proposed method achieves superior performance compared to state-of-the-art methods, with the competitive AUC of 0.872 and 0.977 on these two datasets respectively. This paper establishes insight on how to build deep networks on multimodal biomedical data and proposes a more general framework for pathology image analysis without pixel-level annotation.
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Affiliation(s)
- Lu Qiu
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Lu Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Runping Hou
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Wangyuan Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Shunan Zhang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Zefan Lin
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Haohua Teng
- Department of pathology, Shanghai Chest Hospital, Shanghai 200030, China
| | - Jun Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
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18
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Martín A, Epifano C, Vilaplana-Marti B, Hernández I, Macías RIR, Martínez-Ramírez Á, Cerezo A, Cabezas-Sainz P, Garranzo-Asensio M, Amarilla-Quintana S, Gómez-Domínguez D, Caleiras E, Camps J, Gómez-López G, Gómez de Cedrón M, Ramírez de Molina A, Barderas R, Sánchez L, Velasco-Miguel S, Pérez de Castro I. Mitochondrial RNA methyltransferase TRMT61B is a new, potential biomarker and therapeutic target for highly aneuploid cancers. Cell Death Differ 2023; 30:37-53. [PMID: 35869285 PMCID: PMC9883398 DOI: 10.1038/s41418-022-01044-6] [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: 05/23/2021] [Revised: 06/27/2022] [Accepted: 07/09/2022] [Indexed: 02/01/2023] Open
Abstract
Despite being frequently observed in cancer cells, chromosomal instability (CIN) and its immediate consequence, aneuploidy, trigger adverse effects on cellular homeostasis that need to be overcome by anti-stress mechanisms. As such, these safeguard responses represent a tumor-specific Achilles heel, since CIN and aneuploidy are rarely observed in normal cells. Recent data have revealed that epitranscriptomic marks catalyzed by RNA-modifying enzymes change under various stress insults. However, whether aneuploidy is associated with such RNA modifying pathways remains to be determined. Through an in silico search for aneuploidy biomarkers in cancer cells, we found TRMT61B, a mitochondrial RNA methyltransferase enzyme, to be associated with high levels of aneuploidy. Accordingly, TRMT61B protein levels are increased in tumor cell lines with an imbalanced karyotype as well as in different tumor types when compared to control tissues. Interestingly, while TRMT61B depletion induces senescence in melanoma cell lines with low levels of aneuploidy, it leads to apoptosis in cells with high levels. The therapeutic potential of these results was further validated by targeting TRMT61B in transwell and xenografts assays. We show that TRM61B depletion reduces the expression of several mitochondrial encoded proteins and limits mitochondrial function. Taken together, these results identify a new biomarker of aneuploidy in cancer cells that could potentially be used to selectively target highly aneuploid tumors.
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Affiliation(s)
- Alberto Martín
- Gene Therapy Unit, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
| | - Carolina Epifano
- Gene Therapy Unit, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Borja Vilaplana-Marti
- Gene Therapy Unit, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Iván Hernández
- Gene Therapy Unit, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Rocío I R Macías
- Experimental Hepatology and Drug Targeting (HEVEPHARM) Group, University of Salamanca, Biomedical Research Institute of Salamanca (IBSAL), Salamanca, Spain
- National Institute for the Study of Liver and Gastrointestinal Diseases, CIBERehd, Carlos III Health Institute, Madrid, Spain
| | - Ángel Martínez-Ramírez
- Department of Molecular Cytogenetics, MD Anderson Cancer Center, Madrid, Spain
- Oncohematology Cytogenetics Laboratory, Eurofins-Megalab, Madrid, Spain
| | - Ana Cerezo
- Lilly Cell Signaling and Immunometabolism Section, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Pablo Cabezas-Sainz
- Department of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Campus de Lugo, 27002, Lugo, Spain
| | - Maria Garranzo-Asensio
- Chronic Disease Program (UFIEC), Instituto de Salud Carlos III (ISCIII), E-28220, Madrid, Spain
| | - Sandra Amarilla-Quintana
- Gene Therapy Unit, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Programa de Doctorado UNED-ISCIII Ciencias Biomédicas y Salud Pública, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
| | - Déborah Gómez-Domínguez
- Gene Therapy Unit, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Eduardo Caleiras
- Histopathology Core Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Jordi Camps
- Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, Institut d'Investigacio´ Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus, Spain
| | - Gonzalo Gómez-López
- Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Marta Gómez de Cedrón
- Molecular Oncology Group, Precision Nutrition and Cancer Program, IMDEA FOOD, CEI UAM+CSIC, Madrid, Spain
| | - Ana Ramírez de Molina
- Molecular Oncology Group, Precision Nutrition and Cancer Program, IMDEA FOOD, CEI UAM+CSIC, Madrid, Spain
| | - Rodrigo Barderas
- Chronic Disease Program (UFIEC), Instituto de Salud Carlos III (ISCIII), E-28220, Madrid, Spain
| | - Laura Sánchez
- Department of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Campus de Lugo, 27002, Lugo, Spain
| | - Susana Velasco-Miguel
- Lilly Cell Signaling and Immunometabolism Section, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
| | - Ignacio Pérez de Castro
- Gene Therapy Unit, Instituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III (ISCIII), Madrid, Spain.
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19
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Saha S, Pradhan N, B N, Mahadevappa R, Minocha S, Kumar S. Cancer plasticity: Investigating the causes for this agility. Semin Cancer Biol 2023; 88:138-156. [PMID: 36584960 DOI: 10.1016/j.semcancer.2022.12.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 12/09/2022] [Accepted: 12/19/2022] [Indexed: 12/30/2022]
Abstract
Cancer is not a hard-wired phenomenon but an evolutionary disease. From the onset of carcinogenesis, cancer cells continuously adapt and evolve to satiate their ever-growing proliferation demands. This results in the formation of multiple subtypes of cancer cells with different phenotypes, cellular compositions, and consequently displaying varying degrees of tumorigenic identity and function. This phenomenon is referred to as cancer plasticity, during which the cancer cells exist in a plethora of cellular states having distinct phenotypes. With the advent of modern technologies equipped with enhanced resolution and depth, for example, single-cell RNA-sequencing and advanced computational tools, unbiased cancer profiling at a single-cell resolution are leading the way in understanding cancer cell rewiring both spatially and temporally. In this review, the processes and mechanisms that give rise to cancer plasticity include both intrinsic genetic factors such as epigenetic changes, differential expression due to changes in DNA, RNA, or protein content within the cancer cell, as well as extrinsic environmental factors such as tissue perfusion, extracellular milieu are detailed and their influence on key cancer plasticity hallmarks such as epithelial-mesenchymal transition (EMT) and cancer cell stemness (CSCs) are discussed. Due to therapy evasion and drug resistance, tumor heterogeneity caused by cancer plasticity has major therapeutic ramifications. Hence, it is crucial to comprehend all the cellular and molecular mechanisms that control cellular plasticity. How this process evades therapy, and the therapeutic avenue of targeting cancer plasticity must be diligently investigated.
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Affiliation(s)
- Shubhraneel Saha
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
| | - Nikita Pradhan
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
| | - Neha B
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
| | - Ravikiran Mahadevappa
- Department of Biotechnology, School of Science, Gandhi Institute of Technology and Management, Deemed to be University, Bengaluru, Karnataka 562163, India
| | - Shilpi Minocha
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
| | - Saran Kumar
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
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20
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Zhou X, Cheng Z, Dong M, Liu Q, Yang W, Liu M, Tian J, Cheng W. Tumor fractions deciphered from circulating cell-free DNA methylation for cancer early diagnosis. Nat Commun 2022; 13:7694. [PMID: 36509772 PMCID: PMC9744803 DOI: 10.1038/s41467-022-35320-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
Tumor-derived circulating cell-free DNA (cfDNA) provides critical clues for cancer early diagnosis, yet it often suffers from low sensitivity. Here, we present a cancer early diagnosis approach using tumor fractions deciphered from circulating cfDNA methylation signatures. We show that the estimated fractions of tumor-derived cfDNA from cancer patients increase significantly as cancer progresses in two independent datasets. Employing the predicted tumor fractions, we establish a Bayesian diagnostic model in which training samples are only derived from late-stage patients and healthy individuals. When validated on early-stage patients and healthy individuals, this model exhibits a sensitivity of 86.1% for cancer early detection and an average accuracy of 76.9% for tumor localization at a specificity of 94.7%. By highlighting the potential of tumor fractions on cancer early diagnosis, our approach can be further applied to cancer screening and tumor progression monitoring.
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Affiliation(s)
- Xiao Zhou
- grid.12527.330000 0001 0662 3178Department of Automation, Tsinghua University, Beijing, 100084 China
| | - Zhen Cheng
- grid.12527.330000 0001 0662 3178Department of Automation, Tsinghua University, Beijing, 100084 China
| | - Mingyu Dong
- grid.12527.330000 0001 0662 3178Department of Automation, Tsinghua University, Beijing, 100084 China
| | - Qi Liu
- grid.12527.330000 0001 0662 3178Department of Automation, Tsinghua University, Beijing, 100084 China
| | - Weiyang Yang
- grid.12527.330000 0001 0662 3178Department of Automation, Tsinghua University, Beijing, 100084 China
| | - Min Liu
- grid.12527.330000 0001 0662 3178Department of Automation, Tsinghua University, Beijing, 100084 China ,grid.413405.70000 0004 1808 0686Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, 510317 China
| | - Junzhang Tian
- grid.413405.70000 0004 1808 0686Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, 510317 China
| | - Weibin Cheng
- grid.413405.70000 0004 1808 0686Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, 510317 China
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21
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Chu X, Wang J. Insights into the cell fate decision-making processes from chromosome structural reorganizations. BIOPHYSICS REVIEWS 2022; 3:041402. [PMID: 38505520 PMCID: PMC10914134 DOI: 10.1063/5.0107663] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 11/25/2022] [Indexed: 03/21/2024]
Abstract
The cell fate decision-making process, which provides the capability of a cell transition to a new cell type, involves the reorganizations of 3D genome structures. Currently, the high temporal resolution picture of how the chromosome structural rearrangements occur and further influence the gene activities during the cell-state transition is still challenging to acquire. Here, we study the chromosome structural reorganizations during the cell-state transitions among the pluripotent embryonic stem cell, the terminally differentiated normal cell, and the cancer cell using a nonequilibrium landscape-switching model implemented in the molecular dynamics simulation. We quantify the chromosome (de)compaction pathways during the cell-state transitions and find that the two pathways having the same destinations can merge prior to reaching the final states. The chromosomes at the merging states have similar structural geometries but can differ in long-range compartment segregation and spatial distribution of the chromosomal loci and genes, leading to cell-type-specific transition mechanisms. We identify the irreversible pathways of chromosome structural rearrangements during the forward and reverse transitions connecting the same pair of cell states, underscoring the critical roles of nonequilibrium dynamics in the cell-state transitions. Our results contribute to the understanding of the cell fate decision-making processes from the chromosome structural perspective.
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Affiliation(s)
- Xiakun Chu
- Advanced Materials Thrust, Function Hub, The Hong Kong University of Science and Technology (Guangzhou), Nansha, Guangzhou, Guangdong 511400, China
| | - Jin Wang
- Department of Chemistry and Physics, State University of New York at Stony Brook, Stony Brook, New York 11794, USA
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22
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L Hardison K, M Hawk T, A Bouley R, C Petreaca R. KAT5 histone acetyltransferase mutations in cancer cells. MICROPUBLICATION BIOLOGY 2022; 2022:10.17912/micropub.biology.000676. [PMID: 36530474 PMCID: PMC9748724 DOI: 10.17912/micropub.biology.000676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 11/21/2022] [Accepted: 11/21/2022] [Indexed: 01/25/2023]
Abstract
Cancer cells are characterized by accumulation of mutations due to improperly repaired DNA damage. The DNA double strand break is one of the most severe form of damage and several redundant mechanisms have evolved to facilitate accurate repair. During DNA replication and in mitosis, breaks are primarily repaired by homologous recombination which is facilitated by several genes. Key to this process is the breast cancer susceptibility genes BRCA1 and BRCA2 as well as the accessory RAD52 gene. Proper chromatin remodeling is also essential for repair and the KAT5 histone acetyltransferase facilitates histone removal at the break. Here we undertook a pan cancer analysis to investigate mutations within the KAT5 gene in cancer cells. We employed two standard artificial algorithms to classify mutations as either driver (CHASMPlus algorithm) or pathogenic (VEST4 algorithm). We find that most predicted driver and disease-causing mutations occur in the catalytic site or within key regulatory domains. In silico analysis of protein structure using AlphaFold shows that these mutations are likely to destabilize the function of KAT5 or interactions with DNA or its other partners. The data presented here, although preliminary, could be used to inform clinical strategies.
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23
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HER2 Overexpression and Cytogenetical Patterns in Canine Mammary Carcinomas. Vet Sci 2022; 9:vetsci9110583. [DOI: 10.3390/vetsci9110583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/14/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
Human epidermal growth factor receptor 2 (HER2) is a tyrosine kinase receptor that promotes tumor cell growth and is implicated in the pathogenesis of human breast cancer. The role of HER2 in canine mammary carcinomas (CMCs) is not clear. Therefore, this study aimed to examine the protein expression and cytogenetic changes of HER2 and their correlation with other clinical–pathological parameters in CMC. We retrospectively selected 112 CMCs. HER2, ER, and Ki67 were assessed by immunohistochemistry. HER2 antibody validation was investigated by immunoblot on mammary tumor cell lines. Fluorescence in situ hybridization (FISH) was performed with probes for HER2 and CRYBA1 (control gene present on CFA9). HER2 protein overexpression was detected in 15 carcinomas (13.5%). A total of 90 carcinomas were considered technically adequate by FISH, and 8 out of 90 CMC (10%) were HER2 amplified, 3 of which showed a cluster-type pattern. HER2 overexpression was correlated with an increased number of HER2 gene copies (p = 0.01; R = 0.24) and overall survival (p = 0.03), but no correlation with ER, Ki67, grade, metastases, and tumor-specific survival was found. Surprisingly, co-amplification or polysomy was identified in three tumors, characterized by an increased copy number of both HER2 and CRYBA1. A morphological translocation-fusion pattern was recognized in 20 carcinomas (22%), with a co-localized signal of HER2 and CRYBA1. HER2 is not associated with clinical–pathological parameters of increased malignancy in canine mammary tumors, but it is suitable for studying different amplification patterns.
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24
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Lin CY, Yu CJ, Shen CI, Liu CY, Chao TC, Huang CC, Tseng LM, Lai JI. IKZF3 amplification frequently occurs in HER2-positive breast cancer and is a potential therapeutic target. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2022; 39:242. [PMID: 36180600 DOI: 10.1007/s12032-022-01812-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/27/2022] [Indexed: 10/14/2022]
Abstract
Breast cancer is one of the leading causes of cancer death in women, and although treatment outcome has substantially improved in the past decades, advanced or metastatic breast cancers still carry a poor prognosis. Gene amplification is one of the frequent genetic alterations in cancer, and oncogene amplification may be associated with cancer aggressiveness and oncogenicity. Targeting amplified genes such as HER2 has vastly improved disease outcome and survival, and anti-HER2 therapeutics have revolutionized the standard of care in HER2 breast cancer. Besides currently known druggable gene amplifications including ERBB2 and FGFR2, other frequently amplified genes are relatively less well known for function and clinical significance. By querying four large databases from TCGA and AACR-Genie, from a total of 11,890 patients with invasive ductal breast carcinoma, we discover IKZF3, CCND1, ERBB2 to be consistently amplified across different cohorts. We further identify IKZF3 as a frequently amplified gene in breast cancer with a prevalence of 12-15% amplification rate. Interestingly, IKZF3 amplification is frequently co-amplified with ERBB2/HER2, and is also associated with worse prognosis compared to IKZF3 non-amplified cancers. Analysis of HER2 breast cancer patients treated with trastuzumab revealed decrease in both ERBB2/HER2 and IKZF3 expression. Further investigation using the DepMap for gene dependency by genome-wide CRISPR screening revealed dependence on IKZF3 in HER2 breast cancer cell lines. Our study utilized an integrative analysis of large-scale patient genomics, transcriptomics and clinical data to reveal IKZF3 as a frequently amplified gene, and suggest a potential role of IKZF3 as a druggable target for HER2 breast cancer.
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Affiliation(s)
- Chih-Yi Lin
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chung-Jen Yu
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chia-I Shen
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chun-Yu Liu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Division of Medical Oncology, Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ta-Chung Chao
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Division of Medical Oncology, Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan.,Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chi-Cheng Huang
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ling-Ming Tseng
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jiun-I Lai
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Division of Medical Oncology, Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan. .,Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan. .,Center of Immuno-Oncology, Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan.
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25
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Li S, Chen J, Chen X, Yu J, Guo Y, Li M, Pu X. Therapeutic and prognostic potential of GPCRs in prostate cancer from multi-omics landscape. Front Pharmacol 2022; 13:997664. [PMID: 36110544 PMCID: PMC9468875 DOI: 10.3389/fphar.2022.997664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/09/2022] [Indexed: 11/23/2022] Open
Abstract
Prostate cancer (PRAD) is a common and fatal malignancy. It is difficult to manage clinically due to drug resistance and poor prognosis, thus creating an urgent need for novel therapeutic targets and prognostic biomarkers. Although G protein-coupled receptors (GPCRs) have been most attractive for drug development, there have been lack of an exhaustive assessment on GPCRs in PRAD like their molecular features, prognostic and therapeutic values. To close this gap, we herein systematically investigate multi-omics profiling for GPCRs in the primary PRAD by analyzing somatic mutations, somatic copy-number alterations (SCNAs), DNA methylation and mRNA expression. GPCRs exhibit low expression levels and mutation frequencies while SCNAs are more prevalent. 46 and 255 disease-related GPCRs are identified by the mRNA expression and DNA methylation analysis, respectively, complementing information lack in the genome analysis. In addition, the genomic alterations do not exhibit an observable correlation with the GPCR expression, reflecting the complex regulatory processes from DNA to RNA. Conversely, a tight association is observed between the DNA methylation and mRNA expression. The virtual screening and molecular dynamics simulation further identify four potential drugs in repositioning to PRAD. The combination of 3 clinical characteristics and 26 GPCR molecular features revealed by the transcriptome and genome exhibit good performance in predicting progression-free survival in patients with the primary PRAD, providing candidates as new biomarkers. These observations from the multi-omics analysis on GPCRs provide new insights into the underlying mechanism of primary PRAD and potential of GPCRs in developing therapeutic strategies on PRAD.
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Affiliation(s)
- Shiqi Li
- College of Chemistry, Sichuan University, Chengdu, China
| | - Jianfang Chen
- College of Chemistry, Sichuan University, Chengdu, China
| | - Xin Chen
- College of Chemistry, Sichuan University, Chengdu, China
| | - Jin Yu
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA, United States
| | - Yanzhi Guo
- College of Chemistry, Sichuan University, Chengdu, China
| | - Menglong Li
- College of Chemistry, Sichuan University, Chengdu, China
- *Correspondence: Xuemei Pu, ; Menglong Li,
| | - Xuemei Pu
- College of Chemistry, Sichuan University, Chengdu, China
- *Correspondence: Xuemei Pu, ; Menglong Li,
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26
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Li Z, Sun Q, Shi Y. Somatic structural variations in pediatric brain tumors. Minerva Pediatr (Torino) 2022; 74:358-364. [DOI: 10.23736/s2724-5276.17.04830-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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27
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Deenonpoe R, Sa-Ngiamwibool P, Watcharadetwittaya S, Thanee M, Intuyod K, Kongpan T, Padthaisong S, Nutalai R, Chamgramol Y, Pairojkul C. Fluorescence in situ hybridization detection of chromosome 7 and/or 17 polysomy as a prognostic marker for cholangiocarcinoma. Sci Rep 2022; 12:8441. [PMID: 35589822 PMCID: PMC9119972 DOI: 10.1038/s41598-022-11945-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 05/03/2022] [Indexed: 11/09/2022] Open
Abstract
Cholangiocarcinoma (CCA) is highly endemic in the Northeast Thailand. Recently, chromosome aberrations provided new insights into pathogenesis of CCA. Therefore, chromosome aberration might be used as a prognostic factor and therapeutic planning of this cancer. This aim of this study is to examine the correlation between an increase of chromosome 7 (C7) and/or 17 (C17) copy number variants (CNVs) with clinicopathological data and the overall survival time (OS) of CCA patients using fluorescence in situ hybridization (FISH) assays. C7 and C17 CNVs were examined using FISH form 157 formalin-fixed paraffin-embedded (FFPE) tissues of CCA patients from Khon Kaen, Thailand between 2011 and 2015. OS was visualized using Kaplan-Meier plot. Univariate and multivariate analyses were used to determine the ability of the clinicopathological parameters to predict OS. C17 > trisomy (odd ratio, 6.944, P < 0.001), C7/17 trisomy (odd ratio; 4.488, P = 0.019), and C7/17 > trisomy (odd ratio; 6.723, P < 0.001) were independently predictive factors for lymph node metastasis. Interestingly, an increase of C7, C17, and C7/17 CNVs in both trisomy and > trisomy was independently correlated with short median OS. An increased of C7 and/or 17 have a potential as a poor prognostic marker in CCA patients.
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Affiliation(s)
- Raksawan Deenonpoe
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand. .,Cholangiocarcinoma Research Institute (CARI), Khon Kaen University, Khon Kaen, Thailand.
| | - Prakasit Sa-Ngiamwibool
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand.,Cholangiocarcinoma Research Institute (CARI), Khon Kaen University, Khon Kaen, Thailand
| | - Sasithorn Watcharadetwittaya
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand.,Cholangiocarcinoma Research Institute (CARI), Khon Kaen University, Khon Kaen, Thailand
| | - Malinee Thanee
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand.,Cholangiocarcinoma Research Institute (CARI), Khon Kaen University, Khon Kaen, Thailand
| | - Kitti Intuyod
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand
| | - Thachanan Kongpan
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand
| | - Sureerat Padthaisong
- Faculty of Allied Health Sciences, Burapha University, Chonburi, 20131, Thailand
| | - Rungtiwa Nutalai
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand.,Nuffield Department of Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Yaovalux Chamgramol
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand
| | - Chawalit Pairojkul
- Department of Pathology, Faculty of Medicine, Khon Kaen University, 123 Mittraparp Road, Muang District, Khon Kaen, 40002, Thailand
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28
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Hamilton G, Rath B. Met inhibitors in the treatment of lung cancer: the evidence to date. Expert Opin Pharmacother 2022; 23:815-825. [PMID: 35377279 DOI: 10.1080/14656566.2022.2062227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION : The hepatocyte growth factor (HGF) receptor MET is an oncogenic driver in a subpopulation of Non-small Lung Cancer Cells (NSCLC) at the primary tumor stage or in acquired resistance to treatment with tumor-targeting tyrosine kinase inhibitors (TKIs). AREAS COVERED This article summarizes the mechanisms leading to overexpression and activation of MET by amplification and mutations including exon 14 aberrations. Furthermore, the methods to detect and categorize MET as a tumor driver and the selective TKIs for patient treatment are discussed. EXPERT OPINION : Activating mutations and rearrangements of kinases in NSCLC are the target of successful therapeutic intervention. However, MET activation involves a number of complex alterations including gene amplification, prevention of degradation by METex14 exon skipping and a host of gene mutations. A high-level of MET expression is the precondition for tumor responses to TKIs and the confirmation of MET-dependent tumor progression is difficult in primary lesions and in tumors exhibiting resistance to mutated EGFR-directed therapy in absence of standardized and concordant assays of MET amplification.
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Affiliation(s)
- Gerhard Hamilton
- Department of Pharmacology, Medical University of Vienna, Vienna, Austria
| | - Barbara Rath
- Department of Pharmacology, Medical University of Vienna, Vienna, Austria
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29
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Single-Cell Molecular Characterization to Partition the Human Glioblastoma Tumor Microenvironment Genetic Background. Cells 2022; 11:cells11071127. [PMID: 35406690 PMCID: PMC8998055 DOI: 10.3390/cells11071127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 03/17/2022] [Accepted: 03/24/2022] [Indexed: 12/03/2022] Open
Abstract
Background: Glioblastoma (GB) is a devastating primary brain malignancy. The recurrence of GB is inevitable despite the standard treatment of surgery, chemotherapy, and radiation, and the median survival is limited to around 15 months. The barriers to treatment include the complex interactions among the different cellular components inhabiting the tumor microenvironment. The complex heterogeneous nature of GB cells is helped by the local inflammatory tumor microenvironment, which mostly induces tumor aggressiveness and drug resistance. Methods: By using fluorescent multiple labeling and a DEPArray cell separator, we recovered several single cells or groups of single cells from populations of different origins from IDH-WT GB samples. From each GB sample, we collected astrocytes-like (GFAP+), microglia-like (IBA1+), stem-like cells (CD133+), and endothelial-like cells (CD105+) and performed Copy Number Aberration (CNA) analysis with a low sequencing depth. The same tumors were subjected to a bulk CNA analysis. Results: The tumor partition in its single components allowed single-cell molecular subtyping which revealed new aspects of the GB altered genetic background. Conclusions: Nowadays, single-cell approaches are leading to a new understanding of GB physiology and disease. Moreover, single-cell CNAs resource will permit new insights into genome heterogeneity, mutational processes, and clonal evolution in malignant tissues.
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30
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Papel de la activación adicional del gen RA en el desarrollo del fenotipo resistente a la castración en el cáncer de próstata. Actas Urol Esp 2022. [DOI: 10.1016/j.acuro.2020.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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31
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Romão P, Souza ÍDC, Silva I, Guimarães VR, Camargo JAD, Dos Santos GA, Viana NI, Srougi M, Leite KRM, Reis ST, Pimenta R. Additional activation of the AR gene may be involved in the development of the castration resistance phenotype in prostate cancer. Actas Urol Esp 2022; 46:78-84. [PMID: 35123885 DOI: 10.1016/j.acuroe.2021.10.003] [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: 10/02/2020] [Accepted: 11/29/2020] [Indexed: 06/14/2023]
Abstract
INTRODUCTION Several studies have already shown that changes in the AR gene may be associated with a more aggressive disease phenotype and even castration-resistant prostate cancer. Thus, we investigated cytogenetic and molecular alterations linked to AR. MATERIALS AND METHODS To evaluate AR methylation, we performed a cytogenetic-molecular analysis using fluorescence in situ hybridization that uses specific probes for the AR gene (Xq11.12) and the X chromosome centromere. For AR activity, we performed a qualitative analysis of human androgen receptor activity. To analyze the expression of AR in PC3 and LNCaP cell lines, we used qPCR assays. RESULTS In the qPCR assay, we found downregulation of AR in the PC3 cell line compared with the LNCaP. We found the presence of X chromosome polysomy in PC-3 and LNCaP cell lines by FISH assay. In the HUMARA-Q assay, we found two X chromosomes/cell and the activity of both AR in the PC-3 cell line. In LNCaP cells, we found two X chromosomes/cell and methylation of only one AR. CONCLUSION Castration-resistant prostate cancer phenotype represents a significant challenge in the setting of urological management. The X chromosomes and AR-linked alterations may contribute to a better understanding of the disease. However, further studies should be performed in an attempt to elucidate as much as possible the role of AR in the castration-resistant prostate cancer phenotype.
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Affiliation(s)
- P Romão
- University of Sao Paulo City, Sao Paulo, Brazil; Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil
| | | | - I Silva
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil
| | - V R Guimarães
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil
| | - J Alves de Camargo
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil
| | - G A Dos Santos
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil; D'Or Institute for Research and Education (IDOR), Sao Paulo, Brazil
| | - N I Viana
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil
| | - M Srougi
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil; D'Or Institute for Research and Education (IDOR), Sao Paulo, Brazil
| | - K R Moreira Leite
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil; Genoa Biotechonology, Sao Paulo, Brazil
| | - S T Reis
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil
| | - R Pimenta
- Medical Investigation Laboratory (LIM55), Urology Department, University of Sao Paulo Medical School (FMUSP), Sao Paulo, Brazil; D'Or Institute for Research and Education (IDOR), Sao Paulo, Brazil.
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Identification of Copy Number Alterations from Next-Generation Sequencing Data. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1361:55-74. [DOI: 10.1007/978-3-030-91836-1_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Mirzaei G, Petreaca RC. Distribution of copy number variations and rearrangement endpoints in human cancers with a review of literature. Mutat Res 2022; 824:111773. [PMID: 35091282 PMCID: PMC11301607 DOI: 10.1016/j.mrfmmm.2021.111773] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 12/08/2021] [Accepted: 12/10/2021] [Indexed: 12/13/2022]
Abstract
Copy number variations (CNVs) which include deletions, duplications, inversions, translocations, and other forms of chromosomal re-arrangements are common to human cancers. In this report we investigated the pattern of these variations with the goal of understanding whether there exist specific cancer signatures. We used re-arrangement endpoint data deposited on the Catalogue of Somatic Mutations in Cancers (COSMIC) for our analysis. Indeed, we find that human cancers are characterized by specific patterns of chromosome rearrangements endpoints which in turn result in cancer specific CNVs. A review of the literature reveals tissue specific mutations which either drive these CNVs or appear as a consequence of CNVs because they confer an advantage to the cancer cell. We also identify several rearrangement endpoints hotspots that were not previously reported. Our analysis suggests that in addition to local chromosomal architecture, CNVs are driven by the internal cellular or nuclear physiology of each cancer tissue.
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Affiliation(s)
- Golrokh Mirzaei
- Department of Computer Science and Engineering, The Ohio State University at Marion, Marion, OH, 43302, USA
| | - Ruben C Petreaca
- Department of Molecular Genetics, The Ohio State University at Marion, Marion, OH, 43302, USA; Cancer Biology Program, The Ohio State University James Comprehensive Cancer Center, Columbus, OH, 43210, USA.
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Otmani K, Lewalle P. Tumor Suppressor miRNA in Cancer Cells and the Tumor Microenvironment: Mechanism of Deregulation and Clinical Implications. Front Oncol 2021; 11:708765. [PMID: 34722255 PMCID: PMC8554338 DOI: 10.3389/fonc.2021.708765] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 09/27/2021] [Indexed: 01/07/2023] Open
Abstract
MicroRNAs (miRNAs) are noncoding RNAs that have been identified as important posttranscriptional regulators of gene expression. miRNAs production is controlled at multiple levels, including transcriptional and posttranscriptional regulation. Extensive profiling studies have shown that the regulation of mature miRNAs expression plays a causal role in cancer development and progression. miRNAs have been identified to act as tumor suppressors (TS) or as oncogenes based on their modulating effect on the expression of their target genes. Upregulation of oncogenic miRNAs blocks TS genes and leads to tumor formation. In contrast, downregulation of miRNAs with TS function increases the translation of oncogenes. Several miRNAs exhibiting TS properties have been studied. In this review we focus on recent studies on the role of TS miRNAs in cancer cells and the tumor microenvironment (TME). Furthermore, we discuss how TS miRNA impacts the aggressiveness of cancer cells, with focus of the mechanism that regulate its expression. The study of the mechanisms of miRNA regulation in cancer cells and the TME may paved the way to understand its critical role in the development and progression of cancer and is likely to have important clinical implications in a near future. Finally, the potential roles of miRNAs as specific biomarkers for the diagnosis and the prognosis of cancer and the replacement of tumor suppressive miRNAs using miRNA mimics could be promising approaches for cancer therapy.
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Affiliation(s)
- Khalid Otmani
- Experimental Hematology Laboratory, Jules Bordet Institute, Université libre de Bruxelles, Brussels, Belgium
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35
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Speer RM, Toyoda JH, Croom-Perez TJ, Liu KJ, Wise JP. Particulate Hexavalent Chromium Inhibits E2F1 Leading to Reduced RAD51 Nuclear Foci Formation in Human Lung Cells. Toxicol Sci 2021; 181:35-46. [PMID: 33677506 DOI: 10.1093/toxsci/kfab019] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Lung cancer is the leading cause of cancer death; however, the mechanisms of lung carcinogens are poorly understood. Metals, including hexavalent chromium [Cr(VI)], induce chromosome instability, an early event in lung cancer. Failure of homologous recombination repair is a key mechanism for chromosome instability. Particulate Cr(VI) causes DNA double-strand breaks and prolonged exposure impairs homologous recombination targeting a key effector protein in this pathway, RAD51. Reduced RAD51 protein is a key endpoint of particulate Cr(VI) exposure. It is currently unknown how Cr(VI) reduces RAD51 protein. E2F1 is the predominant transcription factor for RAD51. This study sought to identify if E2F1 modulates the RAD51 response to particulate Cr(VI). Particulate Cr(VI) reduced RAD51 protein and mRNA levels but had a minimal effect on RAD51 half-life. E2F1 protein and mRNA were also inhibited by particulate Cr(VI) exposure. To connect these two outcomes, we tested if modulating E2F1 affects RAD51 outcomes after particulate Cr(VI) exposure. E2F1 knockdown inhibited RAD51 nuclear foci formation after acute particulate Cr(VI) exposure. These data indicate reduced RAD51 protein levels after prolonged particulate Cr(VI) exposure are predominantly due to inhibited expression. Particulate Cr(VI) also inhibits E2F1 expression. However, although loss of E2F1 does not modulate RAD51 expression after particulate Cr(VI) exposure, RAD51 nuclear foci formation is inhibited. These findings suggest E2F1 is important for RAD51 localization to double-strand breaks, but not expression after particulate Cr(VI) exposure in human lung cells.
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Affiliation(s)
- Rachel M Speer
- Wise Laboratory of Environmental and Genetic Toxicology, Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky 40292, USA
| | - Jennifer H Toyoda
- Wise Laboratory of Environmental and Genetic Toxicology, Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky 40292, USA
| | - Tayler J Croom-Perez
- Wise Laboratory of Environmental and Genetic Toxicology, Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky 40292, USA
| | - Ke Jian Liu
- Department of Pharmaceutical Sciences, University of New Mexico, Albuquerque, New Mexico, USA
| | - John Pierce Wise
- Wise Laboratory of Environmental and Genetic Toxicology, Department of Pharmacology and Toxicology, University of Louisville, Louisville, Kentucky 40292, USA
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Nguyen TH, Vemu PL, Hoy GE, Boudjadi S, Chatterjee B, Shern JF, Khan J, Sun W, Barr FG. Serine hydroxymethyltransferase 2 expression promotes tumorigenesis in rhabdomyosarcoma with 12q13-q14 amplification. J Clin Invest 2021; 131:e138022. [PMID: 34166228 DOI: 10.1172/jci138022] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/16/2021] [Indexed: 12/11/2022] Open
Abstract
The 12q13-q14 chromosomal region is recurrently amplified in 25% of fusion-positive (FP) rhabdomyosarcoma (RMS) cases and is associated with a poor prognosis. To identify amplified oncogenes in FP RMS, we compared the size, gene composition, and expression of 12q13-q14 amplicons in FP RMS with those of other cancer categories (glioblastoma multiforme, lung adenocarcinoma, and liposarcoma) in which 12q13-q14 amplification frequently occurs. We uncovered a 0.2 Mb region that is commonly amplified across these cancers and includes CDK4 and 6 other genes that are overexpressed in amplicon-positive samples. Additionally, we identified a 0.5 Mb segment that is only recurrently amplified in FP RMS and includes 4 genes that are overexpressed in amplicon-positive RMS. Among these genes, only serine hydroxymethyltransferase 2 (SHMT2) was overexpressed at the protein level in an amplicon-positive RMS cell line. SHMT2 knockdown in amplicon-positive RMS cells suppressed growth, transformation, and tumorigenesis, whereas overexpression in amplicon-negative RMS cells promoted these phenotypes. High SHMT2 expression reduced sensitivity of FP RMS cells to SHIN1, a direct SHMT2 inhibitor, but sensitized cells to pemetrexed, an inhibitor of the folate cycle. In conclusion, our study demonstrates that SHMT2 contributes to tumorigenesis in FP RMS and that SHMT2 amplification predicts differential response to drugs targeting this metabolic pathway.
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Affiliation(s)
| | | | | | | | | | | | - Javed Khan
- Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
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37
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Genetics of autosomal mosaic chromosomal alteration (mCA). J Hum Genet 2021; 66:879-885. [PMID: 34321609 DOI: 10.1038/s10038-021-00964-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/11/2022]
Abstract
Mosaic chromosomal alterations (mCAs) are frequently observed in cancer cells and are regarded as one of the common features of cancers. Strikingly, accumulating studies demonstrated that mCAs are also prevalent in elderly individuals without cancer, implying mCA could be a feature of aging and not necessarily a cancerous state. However, the genetic basis of mCA has been mostly unknown. Recent studies of autosomal mCA based on biobank-scale datasets, including UK Biobank and Biobank Japan, provided a glimpse into the underlying genetic mechanism. In this concise review, we briefly introduced mCA, its link with cancer and aging, and the emerging genetic mechanisms of this phenomenon. We highlighted the following aspects: (1) the interplay between somatic and inherited germline mutations in generating mosaicism; (2) monogenic and polygenic architectures of mCA; and (3) population-specific profiles of mCA. We provided a future perspective emphasizing the need to understand the connection between mCA and other characteristics of aging, in particular, the epigenetic and immunologic features.
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38
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Huang Q, Carrio-Cordo P, Gao B, Paloots R, Baudis M. The Progenetix oncogenomic resource in 2021. Database (Oxford) 2021; 2021:baab043. [PMID: 34272855 PMCID: PMC8285936 DOI: 10.1093/database/baab043] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 06/16/2021] [Accepted: 06/30/2021] [Indexed: 12/02/2022]
Abstract
In cancer, copy number aberrations (CNAs) represent a type of nearly ubiquitous and frequently extensive structural genome variations. To disentangle the molecular mechanisms underlying tumorigenesis as well as identify and characterize molecular subtypes, the comparative and meta-analysis of large genomic variant collections can be of immense importance. Over the last decades, cancer genomic profiling projects have resulted in a large amount of somatic genome variation profiles, however segregated in a multitude of individual studies and datasets. The Progenetix project, initiated in 2001, curates individual cancer CNA profiles and associated metadata from published oncogenomic studies and data repositories with the aim to empower integrative analyses spanning all different cancer biologies. During the last few years, the fields of genomics and cancer research have seen significant advancement in terms of molecular genetics technology, disease concepts, data standard harmonization as well as data availability, in an increasingly structured and systematic manner. For the Progenetix resource, continuous data integration, curation and maintenance have resulted in the most comprehensive representation of cancer genome CNA profiling data with 138 663 (including 115 357 tumor) copy number variation (CNV) profiles. In this article, we report a 4.5-fold increase in sample number since 2013, improvements in data quality, ontology representation with a CNV landscape summary over 51 distinctive National Cancer Institute Thesaurus cancer terms as well as updates in database schemas, and data access including new web front-end and programmatic data access. Database URL: progenetix.org.
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Affiliation(s)
- Qingyao Huang
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
- Swiss Institute of Bioinformatics, Winterthurerstrasse 190, Zurich 8057, Switzerland
| | - Paula Carrio-Cordo
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
- Swiss Institute of Bioinformatics, Winterthurerstrasse 190, Zurich 8057, Switzerland
| | - Bo Gao
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
- Swiss Institute of Bioinformatics, Winterthurerstrasse 190, Zurich 8057, Switzerland
| | - Rahel Paloots
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
- Swiss Institute of Bioinformatics, Winterthurerstrasse 190, Zurich 8057, Switzerland
| | - Michael Baudis
- Department of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, Zurich 8057, Switzerland
- Swiss Institute of Bioinformatics, Winterthurerstrasse 190, Zurich 8057, Switzerland
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39
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Shahrisa A, Tahmasebi-Birgani M, Ansari H, Mohammadi Z, Carloni V, Mohammadi Asl J. The pattern of gene copy number alteration (CNAs) in hepatocellular carcinoma: an in silico analysis. Mol Cytogenet 2021; 14:33. [PMID: 34215297 PMCID: PMC8254242 DOI: 10.1186/s13039-021-00553-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 05/19/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is the most common type of liver cancer that occurs predominantly in patients with previous liver conditions. In the absence of an ideal screening modality, HCC is usually diagnosed at an advanced stage. Recent studies show that loss or gain of genomic materials can activate the oncogenes or inactivate the tumor suppressor genes to predispose cells toward carcinogenesis. Here, we evaluated both the copy number alteration (CNA) and RNA sequencing data of 361 HCC samples in order to locate the frequently altered chromosomal regions and identify the affected genes. RESULTS Our data show that the chr1q and chr8p are two hotspot regions for genomic amplifications and deletions respectively. Among the amplified genes, YY1AP1 (chr1q22) possessed the largest correlation between CNA and gene expression. Moreover, it showed a positive correlation between CNA and tumor grade. Regarding deleted genes, CHMP7 (chr8p21.3) possessed the largest correlation between CNA and gene expression. Protein products of both genes interact with other cellular proteins to carry out various functional roles. These include ASH1L, ZNF496, YY1, ZMYM4, CHMP4A, CHMP5, CHMP2A and CHMP3, some of which are well-known cancer-related genes. CONCLUSIONS Our in-silico analysis demonstrates the importance of copy number alterations in the pathology of HCC. These findings open a door for future studies that evaluate our results by performing additional experiments.
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Affiliation(s)
- Arman Shahrisa
- Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | - Maryam Tahmasebi-Birgani
- Department of Medical Genetics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
- Cellular and Molecular Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - Hossein Ansari
- Department of Biotechnology, Islamic Azad University, Ahvaz Branch, Ahvaz, Iran
| | - Zahra Mohammadi
- School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Vinicio Carloni
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Javad Mohammadi Asl
- Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
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40
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Papanikolaou V, Chrysovergis A, Mastronikolis S, Tsiambas E, Ragos V, Peschos D, Spyropoulou D, Pantos P, Niotis A, Mastronikolis N, Kyrodimos E. Impact of K-Ras Over-expression in Laryngeal Squamous Cell Carcinoma. In Vivo 2021; 35:1611-1615. [PMID: 33910843 DOI: 10.21873/invivo.12418] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/06/2021] [Accepted: 03/08/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND/AIM Oncogene up-regulation combined with suppressor gene down-regulation is a crucial genetic combination that promotes cell neoplastic phenotype and progressively malignant transformation in solid malignancies, including laryngeal squamous cell carcinoma (LSCC). Among oncogenes, the Kirsten ras oncogene homolog (K-Ras) is involved in LSCC onset and progression. PATIENTS AND METHODS Sixty (n=60) primary LSCC tissue sections were analyzed by immunohistochemistry (IHC). Digital image analysis (DIA) was also implemented for measuring K-Ras protein expression levels. RESULTS High K-Ras protein expression levels were observed in 20/60 (33.3%) LSCC tissue sections, whereas the rest of the cases (n=40; 66.7%) demonstrated low expression. Overall K-Ras expression was borderline significantly associated to the grade of the examined malignancies (p=0.048), whereas no other strong statistical correlations were identified. A progressive K-Ras overexpression was observed in all grades of the examined cases. CONCLUSION K-Ras over expression is correlated to a progressive dedifferentiation in LSCC.
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Affiliation(s)
| | | | | | | | - Vasileios Ragos
- Department of Maxillofacial Surgery, Medical School, University of Ioannina, Ioannina, Greece
| | - Dimitrios Peschos
- Department of Physiology, Medical School, University of Ioannina, Ioannina, Greece
| | - Despoina Spyropoulou
- Department of Radiation Oncology, Medical School, University of Patras, Patras, Greece
| | - Pavlos Pantos
- 1 ENT Department, Hippocration Hospital, University of Athens, Athens, Greece
| | | | | | - Efthymios Kyrodimos
- 1 ENT Department, Hippocration Hospital, University of Athens, Athens, Greece
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41
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Carlisle JW, Harvey RD. Tyrosine Kinase Inhibitors, Antibody-Drug Conjugates, and Proteolysis-Targeting Chimeras: The Pharmacology of Cutting-Edge Lung Cancer Therapies. Am Soc Clin Oncol Educ Book 2021; 41:e286-e293. [PMID: 34061559 DOI: 10.1200/edbk_320667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The number of therapeutic options available for patients with advanced non-small-cell lung cancer has been led by deeper understanding of molecular drivers, immune function, and fundamental biology. In this article, we describe the relevant clinical pharmacologic characteristics of three broad classes of existing and investigational treatments, with a focus on mechanisms of action, adverse event profiles, pharmacokinetic and pharmacodynamic properties, and known and predicted resistance pathways. Specifically, within the kinase inhibitor class, agents directed against the RET, MET, and KRAS pathways are reviewed. Additionally, the first antibody-drug conjugates that target HER2 and HER3 are in trials and will ideally be available for patients soon. Finally, proteolysis-targeting chimeras approach pathway inhibition through enzyme degradation rather than target inhibition and are a promising platform for new agents in non-small-cell lung cancer and across cancer types. Each of these classes requires knowledge of clinical pharmacologic principles in development and use to ensure patient care in clinics and trials is optimized and personalized, including dosing and scheduling strategies, potential drug interactions, use in special populations, and monitoring parameters. Ideally, oncologists will continue to have new agents available across the non-small-cell lung cancer treatment spectrum to offer to a patient group that, until relatively recently, had few options.
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Affiliation(s)
- Jennifer W Carlisle
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA
| | - R Donald Harvey
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA.,Department of Pharmacology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA
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42
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Nyqvist J, Kovács A, Einbeigi Z, Karlsson P, Forssell-Aronsson E, Helou K, Parris TZ. Genetic alterations associated with multiple primary malignancies. Cancer Med 2021; 10:4465-4477. [PMID: 34057285 PMCID: PMC8267160 DOI: 10.1002/cam4.3975] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/27/2021] [Accepted: 04/15/2021] [Indexed: 12/27/2022] Open
Abstract
Breast cancer (BC) patients are frequently at risk of developing other malignancies following treatment. Although studies have been conducted to elucidate the etiology of multiple primary malignancies (MPM) after a BC diagnosis, few studies have investigated other previously diagnosed primary malignancies (OPPM) before BC. Here, genome‐wide profiling was used to identify potential driver DNA copy number alterations and somatic mutations that promote the development of MPMs. To compare the genomic profiles for two primary tumors (BC and OPPM) from the same patient, tumor pairs from 26 young women (≤50 years) diagnosed with one or more primary malignancies before breast cancer were analyzed. Malignant melanoma was the most frequent OPPM, followed by gynecologic‐ and hematologic malignancies. However, significantly more genetic alterations were detected in BC compared to the OPPM. BC also showed more genetic similarity as a group than the tumor pairs. Clonality testing showed that genetic alterations on chromosomes 1, 3, 16, and 19 were concordant in both tumors in 13 patients. TP53 mutations were also found to be prevalent in BC, MM, and HM. Although all samples were classified as genetically unstable, chromothripsis‐like patterns were primarily observed in BC. Taken together, few recurrent genetic alterations were identified in both tumor pairs that can explain the development of MPMs in the same patient. However, larger studies are warranted to further investigate key driver mutations associated with MPMs.
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Affiliation(s)
- Jenny Nyqvist
- Department of Surgery, Skaraborg Hospital, Lidköping, Sweden.,Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Anikó Kovács
- Department of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Zakaria Einbeigi
- Department of Medicine, Southern Älvsborg Hospital, Borås, Sweden.,Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Per Karlsson
- Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Eva Forssell-Aronsson
- Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Khalil Helou
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Toshima Z Parris
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Center for Cancer Research, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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43
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Sun G, Ge Y, Zhang Y, Yan L, Wu X, Ouyang W, Wang Z, Ding B, Zhang Y, Long G, Liu M, Shi R, Zhou H, Chen Z, Ye Z. Transcription Factors BARX1 and DLX4 Contribute to Progression of Clear Cell Renal Cell Carcinoma via Promoting Proliferation and Epithelial-Mesenchymal Transition. Front Mol Biosci 2021; 8:626328. [PMID: 34124141 PMCID: PMC8188704 DOI: 10.3389/fmolb.2021.626328] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 05/06/2021] [Indexed: 11/29/2022] Open
Abstract
Dysregulation of transcription factors contributes to the carcinogenesis and progression of cancers. However, their roles in clear cell renal cell carcinoma remain largely unknown. This study aimed to evaluate the clinical significance of TFs and investigate their potential molecular mechanisms in ccRCC. Data were accessed from the cancer genome atlas kidney clear cell carcinoma cohort. Bioinformatics algorithm was used in copy number alterations mutations, and differentially expressed TFs’ analysis. Univariate and multivariate Cox regression analyses were performed to identify clinically significant TFs and construct a six-TF prognostic panel. TFs’ expression was validated in human tissues. Gene set enrichment analysis (GSEA) was utilized to find enriched cancer hallmark pathways. Functional experiments were conducted to verify the cancer-promoting effect of BARX homeobox 1 (BARX1) and distal-less homeobox 4 (DLX4) in ccRCC, and Western blot was performed to explore their downstream pathways. As for results, many CNAs and mutations were identified in transcription factor genes. TFs were differentially expressed in ccRCC. An applicable predictive panel of six-TF genes was constructed to predict the overall survival for ccRCC patients, and its diagnostic efficiency was evaluated by the area under the curve (AUC). BARX1 and DLX4 were associated with poor prognosis, and they could promote the proliferation and migration of ccRCC. In conclusion, the six-TF panel can be used as a prognostic biomarker for ccRCC patients. BARX1 and DLX4 play oncogenic roles in ccRCC via promoting proliferation and epithelial–mesenchymal transition. They have the potential to be novel therapeutic targets for ccRCC.
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Affiliation(s)
- Guoliang Sun
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China.,Department of Urology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Yue Ge
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Yangjun Zhang
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Libin Yan
- Department of Urology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaoliang Wu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Wei Ouyang
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Zhize Wang
- Department of Urology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Beichen Ding
- Department of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yucong Zhang
- Department of Geriatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gongwei Long
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Man Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Runlin Shi
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Zhou
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Zhiqiang Chen
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
| | - Zhangqun Ye
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Institute of Urology, Wuhan, China
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44
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Torcivia JP, Mazumder R. Scanning window analysis of non-coding regions within normal-tumor whole-genome sequence samples. Brief Bioinform 2021; 22:bbaa203. [PMID: 32940334 PMCID: PMC8138877 DOI: 10.1093/bib/bbaa203] [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: 02/25/2020] [Revised: 08/08/2020] [Accepted: 08/10/2020] [Indexed: 11/15/2022] Open
Abstract
Genomics has benefited from an explosion in affordable high-throughput technology for whole-genome sequencing. The regulatory and functional aspects in non-coding regions may be an important contributor to oncogenesis. Whole-genome tumor-normal paired alignments were used to examine the non-coding regions in five cancer types and two races. Both a sliding window and a binning strategy were introduced to uncover areas of higher than expected variation for additional study. We show that the majority of cancer associated mutations in 154 whole-genome sequences covering breast invasive carcinoma, colon adenocarcinoma, kidney renal papillary cell carcinoma, lung adenocarcinoma and uterine corpus endometrial carcinoma cancers and two races are found outside of the coding region (4 432 885 in non-gene regions versus 1 412 731 in gene regions). A pan-cancer analysis found significantly mutated windows (292 to 3881 in count) demonstrating that there are significant numbers of large mutated regions in the non-coding genome. The 59 significantly mutated windows were found in all studied races and cancers. These offer 16 regions ripe for additional study within 12 different chromosomes-2, 4, 5, 7, 10, 11, 16, 18, 20, 21 and X. Many of these regions were found in centromeric locations. The X chromosome had the largest set of universal windows that cluster almost exclusively in Xq11.1-an area linked to chromosomal instability and oncogenesis. Large consecutive clusters (super windows) were found (19 to 114 in count) providing further evidence that large mutated regions in the genome are influencing cancer development. We show remarkable similarity in highly mutated non-coding regions across both cancer and race.
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Affiliation(s)
- J P Torcivia
- The Department of Biochemistry and Molecular Medicine, The George Washington University Medical Center, Washington, DC, USA
| | - R Mazumder
- The Department of Biochemistry and Molecular Medicine, The George Washington University Medical Center, Washington, DC, USA
- McCormick Genomic and Proteomic Center, The George Washington University, Washington, DC, USA
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45
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Zhu G, Guo YA, Ho D, Poon P, Poh ZW, Wong PM, Gan A, Chang MM, Kleftogiannis D, Lau YT, Tay B, Lim WJ, Chua C, Tan TJ, Koo SL, Chong DQ, Yap YS, Tan I, Ng S, Skanderup AJ. Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden. Nat Commun 2021; 12:2229. [PMID: 33850132 PMCID: PMC8044092 DOI: 10.1038/s41467-021-22463-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 03/11/2021] [Indexed: 02/08/2023] Open
Abstract
Profiling of circulating tumor DNA (ctDNA) may offer a non-invasive approach to monitor disease progression. Here, we develop a quantitative method, exploiting local tissue-specific cell-free DNA (cfDNA) degradation patterns, that accurately estimates ctDNA burden independent of genomic aberrations. Nucleosome-dependent cfDNA degradation at promoters and first exon-intron junctions is strongly associated with differential transcriptional activity in tumors and blood. A quantitative model, based on just 6 regulatory regions, could accurately predict ctDNA levels in colorectal cancer patients. Strikingly, a model restricted to blood-specific regulatory regions could predict ctDNA levels across both colorectal and breast cancer patients. Using compact targeted sequencing (<25 kb) of predictive regions, we demonstrate how the approach could enable quantitative low-cost tracking of ctDNA dynamics and disease progression. Circulating tumour DNA (ctDNA) represents a non-invasive option to monitor cancer progression. Here, the authors perform deep sequencing of plasma cell-free DNA, and find that nucleosome-dependent cfDNA degradation at 6 specific regulatory regions is predictive of ctDNA burden.
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Affiliation(s)
- Guanhua Zhu
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Yu A Guo
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Danliang Ho
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Polly Poon
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Zhong Wee Poh
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Pui Mun Wong
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Anna Gan
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Mei Mei Chang
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | | | - Yi Ting Lau
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore
| | - Brenda Tay
- National Cancer Center Singapore, Singapore, Singapore
| | - Wan Jun Lim
- National Cancer Center Singapore, Singapore, Singapore
| | - Clarinda Chua
- National Cancer Center Singapore, Singapore, Singapore
| | - Tira J Tan
- National Cancer Center Singapore, Singapore, Singapore
| | - Si-Lin Koo
- National Cancer Center Singapore, Singapore, Singapore
| | - Dawn Q Chong
- National Cancer Center Singapore, Singapore, Singapore
| | - Yoon Sim Yap
- National Cancer Center Singapore, Singapore, Singapore
| | - Iain Tan
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore. .,National Cancer Center Singapore, Singapore, Singapore. .,Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
| | - Sarah Ng
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore.
| | - Anders J Skanderup
- Genome Institute of Singapore (GIS), A*STAR, Singapore, Singapore. .,National Cancer Center Singapore, Singapore, Singapore.
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46
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Bobach IS, Stougaard M. SNP-based detection of allelic imbalance: A novel approach for identifying KIAA1549-BRAF fusion in pilocytic astrocytoma using DNA sequencing. Exp Mol Pathol 2021; 120:104621. [PMID: 33626378 DOI: 10.1016/j.yexmp.2021.104621] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 02/09/2021] [Accepted: 02/16/2021] [Indexed: 11/19/2022]
Abstract
Pilocytic astrocytoma (PA) is the most common glioma subtype found in children, and it is a non-malignant tumor type. The majority of PAs is caused by an approximately 2 Mb tandem duplication within 7q34 which creates an in-frame KIAA1549-BRAF fusion gene. The kinase domain of BRAF is fused to the N-terminal of KIAA1549, whereby BRAF is constitutively activated. We here present a novel approach for identifying KIAA1549-BRAF fusion based on single nucleotide polymorphism (SNP) analysis and next generation sequencing (NGS). Highly polymorphic SNPs in the duplicated area and in adjacent areas were selected and a custom targeted amplicon based NGS panel was designed. The panel was tested on DNA extracted from formalin fixed and paraffin embedded tissue from a retrospective cohort, consisting of biopsies from patients with PA, anaplastic astrocytoma, oligodendroglioma and glioblastoma as well as two non-tumor biopsies. The panel could distinguish chromosome 7 gain from BRAF fusion and correctly identified 8/9 PA samples with KIAA1549-BRAF fusion confirmed by RNA sequencing. The one biopsy where no fusion was detected was fresh frozen and from the RNA sequencing expected to have very low tumor content. No allelic imbalance was detected in either oligodendroglioma or in the non-tumor biopsies.
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Affiliation(s)
- Ida Schwartz Bobach
- Department of Clinical Medicine, Aarhus University, Denmark; Department of Pathology, Aarhus University Hospital, Denmark
| | - Magnus Stougaard
- Department of Clinical Medicine, Aarhus University, Denmark; Department of Pathology, Aarhus University Hospital, Denmark.
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Will Castro LSEP, Pieters W, Alemdehy MF, Aslam MA, Buoninfante OA, Raaijmakers JA, Pilzecker B, van den Berk PCM, Te Riele H, Medema RH, Pedrosa RC, Jacobs H. The Widely Used Antihelmintic Drug Albendazole is a Potent Inducer of Loss of Heterozygosity. Front Pharmacol 2021; 12:596535. [PMID: 33679394 PMCID: PMC7935534 DOI: 10.3389/fphar.2021.596535] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 01/11/2021] [Indexed: 12/13/2022] Open
Abstract
The antihelmintic drug ABZ and its metabolites belong to the chemical family of benzimidazoles (BZM) that act as potent tubulin polymerization inhibitors, suggesting a potential re-direction of BZMs for cancer therapy. Applying UV-Vis spectrometry we here demonstrate ABZ as a DNA intercalator. This insight led us to determine the primary mode of ABZ action in mammalian cells. As revealed by RNA sequencing, ABZ did neither grossly affect replication as analyzed by survival and replication stress signaling, nor the transcriptome. Actually, unbiased transcriptome analysis revealed a marked cell cycle signature in ABZ exposed cells. Indeed, short-term exposure to ABZ arrested mammalian cells in G2/M cell cycle stages associated with frequent gains and losses of chromatin. Cellular analyses revealed ABZ as a potent mammalian spindle poison for normal and malignant cells, explaining the serious chromosome segregation defects. Since chromosomal aberrations promote both cancer development and cell death, we determined if besides its general cytotoxicity, ABZ could predispose to tumor development. As measured by loss of heterozygosity (LOH) in vitro and in vivo ABZ was found as a potent inducer of LOH and accelerator of chromosomal missegregation.
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Affiliation(s)
- Luiza S E P Will Castro
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands.,Department of Biochemistry, Federal University of Santa Catarina, Florianópolis, Brazil
| | - Wietske Pieters
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Mir Farshid Alemdehy
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Muhammad A Aslam
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands.,Institute of Molecular Biology and Biotechnology, Bahauddin Zakariya University, Multan, Pakistan
| | | | - Jonne A Raaijmakers
- Division of Cell Biology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Bas Pilzecker
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Paul C M van den Berk
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Hein Te Riele
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - René H Medema
- Division of Cell Biology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Rozangela C Pedrosa
- Department of Biochemistry, Federal University of Santa Catarina, Florianópolis, Brazil
| | - Heinz Jacobs
- Division of Tumor Biology and Immunology, Netherlands Cancer Institute, Amsterdam, Netherlands
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Basolo A, Matrone A, Elisei R, Santini F. Effects of tyrosine kinase inhibitors on thyroid function and thyroid hormone metabolism. Semin Cancer Biol 2021; 79:197-202. [PMID: 33476722 DOI: 10.1016/j.semcancer.2020.12.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 12/14/2020] [Indexed: 02/06/2023]
Abstract
The increasing knowledge of the molecular mechanisms in the cell signaling pathways of malignant cells, has recently led to the discovery of several tyrosine kinases (TKs), mainly TK receptors (TKR), which play a major role in the pathogenesis of many types of cancer. These receptors, physiologically involved in cell growth and angiogenesis, may harbor mutations or be overexpressed in malignant cells, and represent a target for anticancer therapy. Indeed, several therapeutic agents targeting specific altered pathways such as RET, BRAF, RAS, EGFR and VEGFR, have been identified. Tyrosine kinase inhibitors (TKIs) affect TK dependent oncogenic pathways by competing with ATP binding sites of the TK domain, thus blocking the activity of the enzyme, and thereby inhibiting the growth and spread of several cancers. Although the therapeutic action may be very effective, these molecules, due to their mechanism of multitargeted inhibition, may produce adverse events involving several biological systems. Both hypothyroidism and thyrotoxicosis have been reported during treatment with TKI, as well as an effect on the activity of enzymes involved in thyroid hormone metabolism. The pathogenic mechanisms leading to thyroid dysfunction and changes in serum thyroid function tests occurring in patients on TKI are reviewed and discussed in this manuscript.
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Affiliation(s)
- Alessio Basolo
- Department of Clinical and Experimental Medicine, Endocrinology Unit, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
| | - Antonio Matrone
- Department of Clinical and Experimental Medicine, Endocrinology Unit, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
| | - Rossella Elisei
- Department of Clinical and Experimental Medicine, Endocrinology Unit, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
| | - Ferruccio Santini
- Department of Clinical and Experimental Medicine, Endocrinology Unit, University Hospital of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
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Li M, Xia S, Shi P. DPM1 expression as a potential prognostic tumor marker in hepatocellular carcinoma. PeerJ 2020; 8:e10307. [PMID: 33282554 PMCID: PMC7694566 DOI: 10.7717/peerj.10307] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 10/15/2020] [Indexed: 12/21/2022] Open
Abstract
Background Altered glycosylation of proteins contributes to tumor progression. Dolichol phosphate mannose synthase (DPMS), an essential mannosyltransferase, plays a central role in post-translational modification of proteins, including N-linked glycoproteins, O-mannosylation, C-mannosylation and glycosylphosphatidylinositol anchors synthesis. Little is known about the function of DPMS in liver cancer. Methods The study explored the roles of DPMS in the prognosis of hepatocellular carcinoma using UALCAN, Human Protein Atlas, GEPIA, cBioPortal and Metascape databases. The mRNA expressions of DPM1/2/3 also were detected by quantitative real-time PCR experiments in vitro. Results The transcriptional and proteinic expressions of DPM1/2/3 were both over-expressed in patients with hepatocellular carcinoma. Over-expressions of DPMS were discovered to be dramatically associated with clinical cancer stages and pathological tumor grades in hepatocellular carcinoma patients. In addition, higher mRNA expressions of DPM1/2/3 were found to be significantly related to shorter overall survival in liver cancer patients. Futhermore, high genetic alteration rate of DPMS (41%) was also observed in patients with liver cancer, and genetic alteration in DPMS was associated with shorter overall survival in hepatocellular carcinoma patients. We also performed quantitative real-time PCR experiments in human normal hepatocytes and hepatoma cells to verify the expressions of DPM1/2/3 and results showed that the expression of DPM1 was significantly increased in hepatoma cells SMMC-7721 and HepG2. Conclusions Taken together, these results suggested that DPM1 could be a potential prognostic biomarker for survivals of hepatocellular carcinoma patients.
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Affiliation(s)
- Ming Li
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China
| | - Shengli Xia
- Department of Orthopedics, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Ping Shi
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China
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[An improved association analysis pipeline for tumor susceptibility variant in haplotype amplification area]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2020; 40:1493-1499. [PMID: 33118521 PMCID: PMC7606235 DOI: 10.12122/j.issn.1673-4254.2020.10.16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Haplotype amplification on germline variants is suggested to imply potential selective advantages and clonal expansion susceptibility and has become an important signature for seeking cancer susceptibility gene.Here we propose an improved association method that fully considers the haplotype amplification status. METHODS The haplotype amplification status was estimated by the variant allelic frequencies.We adopted a permutation test on variant allelic frequencies to divide the candidate variants into multiple groups.A likelihood clustering method was then applied to establish the neighborhood system of the hidden Markov random field framework.A filtering pipeline was introduced into the proposed method to further refine the candidate variants, including a Wilson's interval filter and a false discovery rate controller.The final candidate set along with the haplotype amplification status was collapsed into the weighted virtual sites for association tests. RESULTS Through simulated tests on a series of datasets, we compared the type Ⅰ error rates of different minor allele frequencies, which stably fell within 2%, suggesting good robustness of the algorithm.In addition, we compared another 5 published association approaches for Type-Ⅰ and Type-Ⅱ error rates with the proposed method, which resulted in the error rates all within 2%, demonstrating significant advantages and a good statistical ability of the proposed method. CONCLUSIONS The proposed method can accurately identify tumor susceptibility variants in haplotype amplification area with good robustness and stability.
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