Literature DB >> 29850926

Biodosimetric transcriptional and proteomic changes are conserved in irradiated human tissue.

Simon P Keam1, Twishi Gulati2, Cristina Gamell2,3, Franco Caramia2, Gisela Mir Arnau4, Cheng Huang5, Ralf B Schittenhelm5, Oded Kleifeld6, Paul J Neeson3,7,8, Scott G Williams9, Ygal Haupt2,3,5,8.   

Abstract

Transcriptional dosimetry is an emergent field of radiobiology aimed at developing robust methods for detecting and quantifying absorbed doses using radiation-induced fluctuations in gene expression. A combination of RNA sequencing, array-based and quantitative PCR transcriptomics in cellular, murine and various ex vivo human models has led to a comprehensive description of a fundamental set of genes with demonstrable dosimetric qualities. However, these are yet to be validated in human tissue due to the scarcity of in situ-irradiated source material. This represents a major hurdle to the continued development of transcriptional dosimetry. In this study, we present a novel evaluation of a previously reported set of dosimetric genes in human tissue exposed to a large therapeutic dose of radiation. To do this, we evaluated the quantitative changes of a set of dosimetric transcripts consisting of FDXR, BAX, BCL2, CDKN1A, DDB2, BBC3, GADD45A, GDF15, MDM2, SERPINE1, TNFRSF10B, PLK3, SESN2 and VWCE in guided pre- and post-radiation (2 weeks) prostate cancer biopsies from seven patients. We confirmed the prolonged dose-responsivity of most of these transcripts in in situ-irradiated tissue. BCL2, GDF15, and to some extent TNFRSF10B, were markedly unreliable single markers of radiation exposure. Nevertheless, as a full set, these genes reliably segregated non-irradiated and irradiated tissues and predicted radiation absorption on a patient-specific basis. We also confirmed changes in the translated protein product for a small subset of these dosimeters. This study provides the first confirmatory evidence of an existing dosimetric gene set in less-accessible tissues-ensuring peripheral responses reflect tissue-specific effects. Further work will be required to determine if these changes are conserved in different tissue types, post-radiation times and doses.

Entities:  

Keywords:  Biodosimeter; Prostate; Radiation; Transcriptional

Mesh:

Substances:

Year:  2018        PMID: 29850926     DOI: 10.1007/s00411-018-0746-5

Source DB:  PubMed          Journal:  Radiat Environ Biophys        ISSN: 0301-634X            Impact factor:   1.925


  31 in total

1.  Gene expression comparisons performed for biodosimetry purposes on in vitro peripheral blood cellular subsets and irradiated individuals.

Authors:  A Riecke; C G Rufa; M Cordes; J Hartmann; V Meineke; M Abend
Journal:  Radiat Res       Date:  2012-07-07       Impact factor: 2.841

2.  Gene expression analysis in radiotherapy patients and C57BL/6 mice as a measure of exposure to ionizing radiation.

Authors:  Ashley N Filiano; Hassan M Fathallah-Shaykh; John Fiveash; Jarrod Gage; Alan Cantor; Sandhya Kharbanda; Martin R Johnson
Journal:  Radiat Res       Date:  2011-03-01       Impact factor: 2.841

3.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

4.  Intragenic controls utilizing radiation-induced alternative transcript regions improves gene expression biodosimetry.

Authors:  Helen B Forrester; Carl N Sprung
Journal:  Radiat Res       Date:  2014-03-13       Impact factor: 2.841

5.  Prediction of in vivo radiation dose status in radiotherapy patients using ex vivo and in vivo gene expression signatures.

Authors:  Sunirmal Paul; Christopher A Barker; Helen C Turner; Amanda McLane; Suzanne L Wolden; Sally A Amundson
Journal:  Radiat Res       Date:  2011-01-10       Impact factor: 2.841

Review 6.  Radiation and inflammation.

Authors:  Dörthe Schaue; Ewa D Micewicz; Josephine A Ratikan; Michael W Xie; Genhong Cheng; William H McBride
Journal:  Semin Radiat Oncol       Date:  2015-01       Impact factor: 5.934

7.  Human housekeeping genes, revisited.

Authors:  Eli Eisenberg; Erez Y Levanon
Journal:  Trends Genet       Date:  2013-06-27       Impact factor: 11.639

8.  Both beta-actin and GAPDH are useful reference genes for normalization of quantitative RT-PCR in human FFPE tissue samples of prostate cancer.

Authors:  Ryutaro Mori; Qingcai Wang; Kathleen D Danenberg; Jacek K Pinski; Peter V Danenberg
Journal:  Prostate       Date:  2008-10-01       Impact factor: 4.104

9.  Radiation dose effect of DNA repair-related gene expression in mouse white blood cells.

Authors:  Ming-juan Li; Wei-wei Wang; Shi-wei Chen; Qian Shen; Rui Min
Journal:  Med Sci Monit       Date:  2011-10

10.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

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  3 in total

1.  High dose-rate brachytherapy of localized prostate cancer converts tumors from cold to hot.

Authors:  Simon P Keam; Heloise Halse; Thu Nguyen; Minyu Wang; Nicolas Van Kooten Losio; Catherine Mitchell; Franco Caramia; David J Byrne; Sue Haupt; Georgina Ryland; Phillip K Darcy; Shahneen Sandhu; Piers Blombery; Ygal Haupt; Scott G Williams; Paul J Neeson
Journal:  J Immunother Cancer       Date:  2020-06       Impact factor: 13.751

2.  Modelling aggressive prostate cancers of young men in immune-competent mice, driven by isogenic Trp53 alterations and Pten loss.

Authors:  Javier Octavio Mejía-Hernández; Simon P Keam; Reem Saleh; Fenella Muntz; Stephen B Fox; David Byrne; Arielle Kogan; Lokman Pang; Jennifer Huynh; Cassandra Litchfield; Franco Caramia; Guillermina Lozano; Hua He; James M You; Shahneen Sandhu; Scott G Williams; Ygal Haupt; Sue Haupt
Journal:  Cell Death Dis       Date:  2022-09-08       Impact factor: 9.685

3.  Immune molecular profiling of a multiresistant primary prostate cancer with a neuroendocrine-like phenotype: a case report.

Authors:  Scott G Williams; Han Xian Aw Yeang; Catherine Mitchell; Franco Caramia; David J Byrne; Stephen B Fox; Sue Haupt; Ralf B Schittenhelm; Paul J Neeson; Ygal Haupt; Simon P Keam
Journal:  BMC Urol       Date:  2020-10-28       Impact factor: 2.264

  3 in total

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