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      Alterations in the Ca 2+ toolkit in oesophageal adenocarcinoma

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          Abstract

          Aim:

          To investigate alterations in transcription of genes, encoding Ca 2+ toolkit proteins, in oesophageal adenocarcinoma (OAC) and to assess associations between gene expression, tumor grade, nodal-metastatic stage, and patient survival.

          Methods:

          The expression of 275 transcripts, encoding components of the Ca 2+ toolkit, was analyzed in two OAC datasets: the Cancer Genome Atlas [via the University of Alabama Cancer (UALCAN) portal] and the oesophageal-cancer, clinical, and molecular stratification [Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS)] dataset. Effects of differential expression of these genes on patient survival were determined using Kaplan-Meier log-rank tests. OAC grade- and metastatic-stage status was investigated for a subset of genes. Adjustment for the multiplicity of testing was made throughout.

          Results:

          Of the 275 Ca 2+-toolkit genes analyzed, 75 displayed consistent changes in expression between OAC and normal tissue in both datasets. The channel-encoding genes, N-methyl- D-aspartate receptor 2D ( GRIN2D), transient receptor potential (TRP) ion channel classical or canonical 4 ( TRPC4), and TRP ion channel melastatin 2 ( TRPM2) demonstrated the greatest increase in expression in OAC in both datasets. Nine genes were consistently upregulated in both datasets and were also associated with improved survival outcomes. The 6 top-ranking genes for the weighted significance of altered expression and survival outcomes were selected for further analysis: voltage-gated Ca 2+ channel subunit α 1D ( CACNA1D), voltage-gated Ca 2+ channel auxiliary subunit α2 δ4 ( CACNA2D4), junctophilin 1 ( JPH1), acid-sensing ion channel 4 ( ACCN4), TRPM5, and secretory pathway Ca 2+ ATPase 2 ( ATP2C2). CACNA1D, JPH1, and ATP2C2 were also upregulated in advanced OAC tumor grades and nodal-metastatic stages in both datasets.

          Conclusions:

          This study has unveiled alterations of the Ca 2+ toolkit in OAC, compared to normal tissue. Such Ca 2+ signalling findings are consistent with those from studies on other cancers. Genes that were consistently upregulated in both datasets might represent useful markers for patient diagnosis. Genes that were consistently upregulated, and which were associated with improved survival, might be useful markers for patient outcome. These survival-associated genes may also represent targets for the development of novel chemotherapeutic agents.

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          Most cited references189

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          Hallmarks of Cancer: The Next Generation

          The hallmarks of cancer comprise six biological capabilities acquired during the multistep development of human tumors. The hallmarks constitute an organizing principle for rationalizing the complexities of neoplastic disease. They include sustaining proliferative signaling, evading growth suppressors, resisting cell death, enabling replicative immortality, inducing angiogenesis, and activating invasion and metastasis. Underlying these hallmarks are genome instability, which generates the genetic diversity that expedites their acquisition, and inflammation, which fosters multiple hallmark functions. Conceptual progress in the last decade has added two emerging hallmarks of potential generality to this list-reprogramming of energy metabolism and evading immune destruction. In addition to cancer cells, tumors exhibit another dimension of complexity: they contain a repertoire of recruited, ostensibly normal cells that contribute to the acquisition of hallmark traits by creating the "tumor microenvironment." Recognition of the widespread applicability of these concepts will increasingly affect the development of new means to treat human cancer. Copyright © 2011 Elsevier Inc. All rights reserved.
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            UALCAN: A Portal for Facilitating Tumor Subgroup Gene Expression and Survival Analyses1

            Genomics data from The Cancer Genome Atlas (TCGA) project has led to the comprehensive molecular characterization of multiple cancer types. The large sample numbers in TCGA offer an excellent opportunity to address questions associated with tumo heterogeneity. Exploration of the data by cancer researchers and clinicians is imperative to unearth novel therapeutic/diagnostic biomarkers. Various computational tools have been developed to aid researchers in carrying out specific TCGA data analyses; however there is need for resources to facilitate the study of gene expression variations and survival associations across tumors. Here, we report UALCAN, an easy to use, interactive web-portal to perform to in-depth analyses of TCGA gene expression data. UALCAN uses TCGA level 3 RNA-seq and clinical data from 31 cancer types. The portal's user-friendly features allow to perform: 1) analyze relative expression of a query gene(s) across tumor and normal samples, as well as in various tumor sub-groups based on individual cancer stages, tumor grade, race, body weight or other clinicopathologic features, 2) estimate the effect of gene expression level and clinicopathologic features on patient survival; and 3) identify the top over- and under-expressed (up and down-regulated) genes in individual cancer types. This resource serves as a platform for in silico validation of target genes and for identifying tumor sub-group specific candidate biomarkers. Thus, UALCAN web-portal could be extremely helpful in accelerating cancer research. UALCAN is publicly available at http://ualcan.path.uab.edu.
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              Global surveillance of trends in cancer survival 2000–14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries

              In 2015, the second cycle of the CONCORD programme established global surveillance of cancer survival as a metric of the effectiveness of health systems and to inform global policy on cancer control. CONCORD-3 updates the worldwide surveillance of cancer survival to 2014.
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                Author and article information

                Contributors
                Role: Extraction, analysis, interpretation, and presentation of the dataRole: Writing – original draftRole: Figure and table generationRole: Writing – review & editing
                Role: Critical insights on cancer biologyRole: Writing – sections of the manuscriptRole: Writing – review & editing
                Role: Extraction, analysis, interpretation, and presentation of the dataRole: Analysis of data from UALCANRole: Figure and table generationRole: Writing – review & editing
                Role: Extraction, analysis, interpretation, and presentation of the dataRole: Working on data from OCCAMSRole: Providing key statistical inputRole: Figure and table generationRole: Writing – review & editing
                Role: Extraction, analysis, interpretation, and presentation of the dataRole: Working on data from OCCAMSRole: Figure and table generationRole: Writing – review & editing
                Role: Supervision of the OCCAMS dataset analysisRole: Writing – review & editing
                Role: Critical insights on cancer biologyRole: Writing – sections of the manuscriptRole: Writing – review & editing
                Role: Conception and design of the studyRole: Extraction, analysis, interpretation, and presentation of the dataRole: Writing – sections of the manuscriptRole: Figure and table generationRole: Writing – review & editing
                Role: Academic Editor
                Journal
                Explor Target Antitumor Ther
                Explor Target Antitumor Ther
                Exploration of Targeted Anti-tumor Therapy
                Exploration of Targeted Anti-tumor Therapy
                Open Exploration
                2692-3114
                2021
                31 December 2021
                : 2
                : 6
                : 543-575
                Affiliations
                [1 ]Department of Physiology, University College Cork, BioSciences Institute, T12 YT20 Cork, Ireland
                [2 ]Cancer Research, UCC, Western Gateway Building, University College Cork, T12 XF62 Cork, Ireland
                [3 ]Department of Pathology, Molecular & Cellular, University of Alabama at Birmingham, Birmingham, AL 35233, USA
                [4 ]Cancer Research UK Cambridge Institute, University of Cambridge Li Ka Shing Centre, Robinson Way, CB2 0RE Cambridge, UK
                The University of Texas at Arlington, USA
                Author notes
                [* ] Correspondence: John J. Mackrill, Department of Physiology, University College Cork, BioSciences Institute, T12 YT20 Cork, Ireland. j.mackrill@ 123456ucc.ie
                Author information
                https://orcid.org/0000-0003-1383-0647
                https://orcid.org/0000-0002-6764-6274
                https://orcid.org/0000-0002-4295-9127
                https://orcid.org/0000-0003-4672-0815
                https://orcid.org/0000-0002-1408-8176
                https://orcid.org/0000-0002-3434-3568
                https://orcid.org/0000-0003-0282-6888
                https://orcid.org/0000-0003-2473-129X
                Article
                etat-02-100263
                10.37349/etat.2021.00063
                9400700
                36046118
                0e7aad8d-461b-47a0-a5c9-f5e167b7945a
                © The Author(s) 2021.

                This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 17 May 2021
                : 08 October 2021
                Funding
                Funded by: Breakthrough Cancer Research, doi 10.13039/501100022542;
                Award ID: R19491
                Funded by: Higher Education Authority, doi 10.13039/501100001592;
                Funded by: University College Cork, doi 10.13039/501100001636;
                Categories
                Original Article

                oesophageal adenocarcinoma,ca2+ toolkit,acid-sensing,voltage-gated ca2+ channel subunits,junctophilin 1,acid-sensing ion channel 4,transient receptor potential ion channel melastatin 5,secretory pathway ca2+ atpase 2

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