Radiation-induced Changes In Gene Expression Research Articles

Applicability of Gene Expression in Saliva as an Alternative to Blood for Biodosimetry and Prediction of Radiation-induced Health Effects.

As the great majority of gene expression (GE) biodosimetry studies have been performed using blood as the preferred source of tissue, searching for simple and less-invasive sampling methods is important when considering biodosimetry approaches. Knowing that whole saliva contains an ultrafiltrate of blood and white blood cells, it is expected that the findings in blood can also be found in saliva. This human invivo study aims to examine radiation-induced GE changes in saliva for biodosimetry purposes and to predict radiation-induced disease, which is yet poorly characterized. Furthermore, we examined whether transcriptional biomarkers in blood can also be found equivalently in saliva. Saliva and blood samples were collected in parallel from radiotherapy (RT) treated patients who suffered from head and neck cancer (n = 8) undergoing fractioned partial-body irradiations (1.8 Gy/fraction and 50-70 Gy total dose). Samples were taken 12-24 h before first irradiation and ideally 24 and 48 h, as well as 5 weeks after radiotherapy onset. Due to the low quality and quantity of isolated RNA samples from one patient, they had to be excluded from further analysis, leaving a total of 24 saliva and 24 blood samples from 7 patients eligible for analysis. Using qRT-PCR, 18S rRNA and 16S rRNA (the ratio being a surrogate for the relative human RNA/bacterial burden), four housekeeping genes and nine mRNAs previously identified as radiation responsive in blood-based studies were detected. Significant GE associations with absorbed dose were found for five genes and after the 2nd radiotherapy fraction, shown by, e.g., the increase of CDKN1A (2.0 fold, P = 0.017) and FDXR (1.9 fold increased, P = 0.002). After the 25th radiotherapy fraction, however, all four genes (FDXR, DDB2, POU2AF1, WNT3) predicting ARS (acute radiation syndrome) severity, as well as further genes (including CCNG1 [median-fold change (FC) = 0.3, P = 0.013], and GADD45A (median-FC = 0.3, P = 0.031)) appeared significantly downregulated (FC = 0.3, P = 0.01-0.03). A significant association of CCNG1, POU2AF1, HPRT1, and WNT3 (P = 0.006-0.04) with acute or late radiotoxicity could be shown before the onset of these clinical outcomes. In an established set of four genes predicting acute health effects in blood, the response in saliva samples was similar to the expected up- (FDXR, DDB2) or downregulation (POU2AF1, WNT3) in blood for up to 71% of the measurements. Comparing GE responses (PHPT1, CCNG1, CDKN1A, GADD45A, SESN1) in saliva and blood samples, there was a significant linear association between saliva and blood response of CDKN1A (R2 = 0.60, P = 0.0004). However, the GE pattern of other genes differed between saliva and blood. In summary, the current human invivo study, (I) reveals significant radiation-induced GE associations of five transcriptional biomarkers in salivary samples, (II) suggests genes predicting diverse clinical outcomes such as acute and late radiotoxicity as well as ARS severity, and (III) supports the view that blood-based GE response can be reflected in saliva samples, indicating that saliva is a "mirror of the body" for certain but not all genes and, thus, studies for each gene of interest in blood are required for saliva.

PUM1 and PGK1 are Favorable Housekeeping Genes over Established Biodosimetry-related Housekeeping Genes such as HPRT1, ITFG1, DPM1, MRPS5, 18S rRNA and Others after Radiation Exposure.

In gene expression (GE) studies, housekeeping genes (HKGs) are required for normalization purposes. In large-scale inter-laboratory comparison studies, significant differences in dose estimates are reported and divergent HKGs are employed by the teams. Among them, the 18S rRNA HKG is known for its robustness. However, the high abundance of 18S rRNA copy numbers requires dilution, which is time-consuming and a possible source of errors. This study was conducted to identify the most promising HKGs showing the least radiation-induced GE variance after radiation exposure. In the screening stage of this study, 35 HKGs were analyzed. This included selected HKGs (ITFG1, MRPS5, and DPM1) used in large-scale biodosimetry studies which were not covered on an additionally employed pre-designed 96-well platform comprising another 32 HKGs used for different exposures. Altogether 41 samples were examined, including 27 ex vivo X-ray irradiated blood samples (0, 0.5, 4 Gy), six X-irradiated samples (0, 0.5, 5 Gy) from two cell lines (U118, A549), as well as eight non-irradiated tissue samples to encompass multiple biological entities. In the independent validation stage, the most suitable candidate genes were examined from another 257 blood samples, taking advantage of already stored material originating from three studies. These comprise 100 blood samples from ex vivo X-ray irradiated (0-4 Gy) healthy donors, 68 blood samples from 5.8 Gy irradiated (cobalt-60) Rhesus macaques (RM) (LD29/60) collected 0-60 days postirradiation, and 89 blood samples from chemotherapy-(CTx) treated breast tumor patients. CTx and radiation-induced GE changes in previous studies appeared comparable. RNA was isolated, converted into cDNA, and GE was quantified employing TaqMan assays and quantitative RT-PCR. We calculated the standard deviation (SD) and the interquartile range (IQR) as measures of GE variance using raw cycle threshold (Ct) values and ranked the HKGs accordingly. Dose, time, age, and sex-dependent GE changes were examined employing the parametrical t-test and non-parametrical Kruskal Wallis test, as well as linear regression analysis. Generally, similar ranking results evolved using either SD or IQR GE measures of variance, indicating a tight distribution of GE values. PUM1 and PGK1 showed the lowest variance among the first ten most suitable genes in the screening phase. MRPL19 revealed low variance among the first ten most suitable genes in the screening phase only for blood and cells, but certain comparisons indicated a weak association of MRPL19 with dose (P = 0.02-0.09). In the validation phase, these results could be confirmed. Here, IQR Ct values from, e.g., X-irradiated blood samples were 0.6 raw Ct values for PUM1 and PGK1, which is considered to represent GE differences as expected due to methodological variance. Overall, when compared, the GE variance of both genes was either comparable or lower compared to 18S rRNA. Compared with the IQR GE values of PUM1 and PGKI, twofold-fivefold increased values were calculated for the biodosimetry HKG HPRT1, and comparable values were calculated for biodosimetry HKGs ITFG1, MRPS5, and DPM1. Significant dose-dependent associations were found for ITFG1 and MRPS5 (P = 0.001-0.07) and widely absent or weak (P = 0.02-0.07) for HPRT1 and DPM1. In summary, PUM1 and PGK1 appeared most promising for radiation exposure studies among the 35 HKGs examined, considering GE variance and adverse associations of GE with dose.

The Influence of Computed Tomography Contrast Agent on Radiation-Induced Gene Expression and Double-Strand Breaks.

After nuclear scenarios, combined injuries of acute radiation syndrome (ARS) with, e.g., abdominal trauma, will occur and may require contrast-enhanced computed tomography (CT) scans for diagnostic purposes. Here, we investigated the effect of iodinated contrast agents on radiation-induced gene expression (GE) changes used for biodosimetry (AEN, BAX, CDKN1A, EDA2R, APOBEC3H) and for hematologic ARS severity prediction (FDXR, DDB2, WNT3, POU2AF1), and on the induction of double-strand breaks (DSBs) used for biodosimetry. Whole blood samples from 10 healthy donors (5 males, 5 females, mean age: 28 ± 2 years) were irradiated with X rays (0, 1 and 4 Gy) with and without the addition of iodinated contrast agent (0.016 ml contrast agent/ml blood) to the blood prior to the exposure. The amount of contrast agent was set to be equivalent to the blood concentration of an average patient (80 kg) during a contrast-enhanced CT scan. After irradiation, blood samples were incubated at 37°C for 20 min (DSB) and 8 h (GE, DSB). GE was measured employing quantitative real-time polymerase chain reaction. DSB foci were revealed by γH2AX + 53BP1 immunostaining and quantified automatically in >927 cells/sample. Radiation-induced differential gene expression (DGE) and DSB foci were calculated using the respective unexposed sample without supplementation of contrast agent as the reference. Neither the GE nor the number of DSB foci was significantly (P = 0.07-0.94) altered by the contrast agent application. However, for some GE and DSB comparisons with/without contrast agent, there were weakly significant differences (P = 0.03-0.04) without an inherent logic and thus are likely due to inter-individual variation. In nuclear events, the diagnostics of combined injuries can require the use of an iodinated contrast agent, which, according to our results, does not alter or influence radiation-induced GE changes and the quantity of DSB foci. Therefore, the gene expression and γH2AX focus assay can still be applied for biodosimetry and/or hematologic ARS severity prediction in such scenarios.

Radiation-induced changes in gene expression in rectal cancer specimens.

The standard-of-care for locally advanced rectal cancer is radiotherapy-based neoadjuvant therapy followed by surgical resection. This article reviews the evidence of molecular changes at the transcriptome level induced through radiotherapy in rectal cancer. The PubMed search "(radiation OR radiotherapy) cancer (transcriptome OR "gene expression") rectal" was used. The studies taken forward utilised gene-expression data on both pre-treatment and post-treatment rectal adenocarcinoma biospecimens from patients treated with RT-based neoadjuvant strategies. Twelve publications met the review criteria. There was variation in approaches in terms of design, patient population, cohort size, timing of the post-radiotherapy sampling and method of measuring gene expression. Most of the post-treatment biospecimen retrievals were at resection. The literature indicates a broad upregulation of immune activity through radiotherapy using gene-expression data. Future studies would benefit from standardised prospective approaches to sampling to enable the inclusion of timepoints relevant to the tumour and immune response.

Effects of acute low-moderate dose ionizing radiation to human brain organoids.

Human exposure to low-to-moderate dose ionizing radiation (LMD-IR) is increasing via environmental, medical, occupational sources. Acute exposure to LMD-IR can cause subclinical damage to cells, resulting in altered gene expression and cellular function within the human brain. It has been difficult to identify diagnostic and predictive biomarkers of exposure using traditional research models due to factors including lack of 3D structure in monolayer cell cultures, limited ability of animal models to accurately predict human responses, and technical limitations of studying functional human brain tissue. To address this gap, we generated brain/cerebral organoids from human induced pluripotent stem cells to study the radiosensitivity of human brain cells, including neurons, astrocytes, and oligodendrocytes. While organoids have become popular models for studying brain physiology and pathology, there is little evidence to confirm that exposing brain organoids to LMD-IR will recapitulate previous in vitro and in vivo observations. We hypothesized that exposing brain organoids to proton radiation would (1) cause a time- and dose-dependent increase in DNA damage, (2) induce cell type-specific differences in radiosensitivity, and (3) increase expression of oxidative stress and DNA damage response genes. Organoids were exposed to 0.5 or 2 Gy of 250 MeV protons and samples were collected at 30 minute, 24 hour, and 48 hour timepoints. Using immunofluorescence and RNA sequencing, we found time- and dose-dependent increases in DNA damage in irradiated organoids; no changes in cell populations for neurons, oligodendrocytes, and astrocytes by 24 hours; decreased expression of genes related to oligodendrocyte lineage, astrocyte lineage, mitochondrial function, and cell cycle progression by 48 hours; increased expression of genes related to neuron lineage, oxidative stress, and DNA damage checkpoint regulation by 48 hours. Our findings demonstrate the possibility of using organoids to characterize cell-specific radiosensitivity and early radiation-induced gene expression changes within the human brain, providing new avenues for further study of the mechanisms underlying acute neural cell responses to IR exposure at low-to-moderate doses.

Ex-vivo dose response characterization of the recently identified EDA2R gene after low level radiation exposures and comparison with FDXR gene expression and the γH2AX focus assay

Objective Recently, promising radiation-induced EDA2R gene expression (GE) changes after low level radiation could be shown. Stimulated by that, in this study, we intended to independently validate these findings and to further characterize dose-response relationships in comparison to FDXR and the γH2AX-DNA double-strand break (DSB) focus assay, since both assays are already widely used for biodosimetry purposes. Materials and methods Peripheral blood samples from six healthy human donors were irradiated ex vivo (dose: ranging from 2.6 to 49.7 mGy). Subsequently, the fold-differences relative to the sham irradiated reference group were calculated. Radiation-induced changes in GE of FDXR and EDA2R were examined using the quantitative real-time polymerase-chain-reaction (qRT-PCR). DSB foci were quantified in 100 γH2AX + 53BP1 immunostained cells employing fluorescence microscopy. Examinations were performed at single time points enabling sufficient detection of both endpoints. Results A significant increase in EDA2R GE relative to the unexposed control was observed in the range of 2.6 mGy (1.6-fold, p = .045) to 5.4 mGy (2.2-fold, p = .0002), whereas the copy numbers increased linearly up to 13.1-fold at 49.7 mGy. On the contrary, FDXR upregulation (2.2-fold) became significant after a 22.6 mGy exposure (p ≤ .02) and increased linearly up to 4-fold at 49.7 mGy. A significant increase in radiation-induced foci (relative to unexposed, RIF-fd) was observed after 11.3 mGy (RIF-fd: 1.5 ± 0.5, p ≤ .03), while the foci increased linearly up to 3-fold at 49.7 mGy. From this, the FDXR and RIF-fd slopes have shown comparability, while the EDA2R slope was five times higher. Nevertheless, the coefficient of variation (CV) of EDA2R was about 30% higher than for RIF-fd. Conclusion Higher radiation-induced EDA2R GE changes and a lower radiation detection level compared to RIF-fd and FDXR GE changes examined under optimal conditions ex vivo on human samples appear promising. Yet, our results represent just the beginning of further studies to be conducted in animal models for further time- and dose-dependent evaluation and additional examinations on radiologically examined patients to evaluate the impact of confounder, such as age, sex, social behavior, or diseases.

Four Genes Predictive for the Severity of Hematological Damage Reveal a Similar Response after X Irradiation and Chemotherapy.

Radiological and especially nuclear accidents and incidents pose a threat to populations. In such events, gene expression (GE) analysis of a set of 4 genes (FDXR, DDB2, POU2AF1, WNT3) is an emerging approach for early and high-throughput prediction of the later manifesting severity degrees of the hematological acute radiation syndrome (H-ARS). Validation of this gene set on radiation victims is difficult since these events are rare. However, chemotherapy (CTX) is widely used e.g., breast cancer patient treatment and pathomechanisms, as well as blood cell count changes are comparable among both exposure types. We wondered whether GE changes are similarly deregulated after CTX, which would be interpreted as a confirmation of our already identified gene set for H-ARS prediction after irradiation. We examined radiation-induced differential GE (DGE) of our gene set as a positive control using in vitro whole blood samples from ten healthy donors (6 females, 4 males, aged: 24-40 years). Blood was incubated in vitro for 8 h after X irradiation with 0 and 4 Gy (1 Gy/min). These data were compared with DGE measured in vivo in blood samples of 10 breast tumor CTX patients (10 females, aged: 39-71 years) before and 4 days after administration of cyclophosphamide and epirubicin. RNA was isolated, reverse transcribed and quantitative real-time polymerase-chain-reaction (qRT-PCR) was performed to assess DGE of FDXR, DDB2, POU2AF1 and WNT3 relative to the unexposed samples using TaqMan assays. After X irradiation, we found a significant upregulation (irrespective of sex) with mean fold changes of 21 (P < 0.001) and 7 (P < 0.001) for FDXR and DDB2 and a significant down-regulation with mean fold changes of 2.5 (P < 0.001) and 2 (P = 0.005) for POU2AF1 and WNT3, respectively. After CTX, a similar pattern was observed, although mean fold changes of up-regulated FDXR (6-fold, P < 0.001) and DDB2 (3-fold, P < 0.001) as well as down-regulated POU2AF1 (1.2-fold, P = 0.270) and WNT3 (1.3-fold, P = 0.069) appeared lower corresponding to less altered blood cell count changes observed after CTX compared to historic radiation exposure data. However, a subpopulation of CTX patients (n = 6) showed on average a significant downregulation of POU2AF1 (1.8-fold, P = 0.04) and WNT3 (2.1-fold, P = 0.008). In summary, the pattern of up-regulated GE changes observed in all CTX patients and down-regulated GE changes observed in a subgroup of CTX patients appeared comparable with an already identified gene set predictive for the radiation-induced H-ARS. This underlines the significance of in vivo GE measurements in CTX patients, employed as a surrogate model to further validate already identified radiation-induced GE changes predictive for the H-ARS.

CHANGES IN GENE EXPRESSION ASSOCIATED WITH NON-CANCER EFFECTS OF THE CHORNOBYL CLEAN-UP WORKERS IN THE REMOTE PERIOD AFTER EXPOSURE.

to establish the connection of radiation-induced changes in gene expression with the realized pathology of the broncho-pulmonary and cardiovascular systems in Chornobyl clean-up workers. We examined 314 male Chornobyl clean-up workers (main group; age (58.94 ± 6.82) years(M ± SD); min 33, max 79 years; radiation dose (411.82 ± 625.41) mSv (M ± SD); min 1.74, max 3600 mSv) with various nosological forms of cardiovascular and broncho-pulmonary pathology (BPP) and 50 subjects of the controlgroup: age (50.50 ± 5.73) years (M ± SD); min 41, max 67 years. The relative level of BCL2, CDKN2A, CLSTN2, GSTM1,IFNG, IL1B, MCF2L, SERPINB9, STAT3, TERF1, TERF2, TERT, TNF, TP53, CCND1, CSF2, VEGFA genes expression was determined inperipheral blood leukocytes by real-time PCR (7900 HT Fast Real-Time PCR System (Applied Biosystems, USA)). The«gene-disease» association was determined on statistical models stratified separately for each disease and gene.Logistic regression was used to calculate the odds ratio. Increased GSTM1 gene expression and no changes in angiogenesis-related VEGFA gene expression werefound in the main group of patients with coronary heart disease (CHD). It was established overexpression of TP53,VEGF and IFNG genes in the group of patients with arterial hypertension (AH). At combination of these diseases anincrease of expression of СSF2, TERF1, TERF2 genes was established. The detected changes demonstrate an activationof the antioxidative defense system in patients with CHD, while AH is associated with the expression of genes ofangiogenesis and immune inflammation. It was shown an increase in the expression of genes associated with apoptosis and kinase activity (BCL2, CLSTN2, CDKN2), immune inflammation (CSF2, IL1B, TNF) in Chornobyl clean-upworkers with BPP. Expression of TP53 and GSTM1 (gene, associated with the glutathione system) was significantlyupregulated in the group of individuals with chronic bronchitis, whereas in patients with chronic obstructive pulmonary disease, no increase was detected; the expression of SERPINB9 and MCF2L genes was downregulated. Changes in the expression of genes, associated with the development of somatic pathology in theremote period after irradiation, in particular the genes of the immune response and inflammatory reactions CSF2,IFNG, IL1B, TNF; expression of genes that regulate cell proliferation, aging and apoptosis TP53, BCL2, MCF2L, CDKN2A,SERPINB9, TERF1, TERF2, TERT; genes that regulate cell adhesion and angiogenesis CLSTN2, VEGF.

Response to Preoperative Radiation Therapy in Relation to Gene Expression Patterns in Breast Cancer Patients

We aimed to study radiation-induced gene expression changes and to identify differences in gene expression between patients with and without response to radiation therapy (RT) for invasive breast cancer with the purpose of exploring whether a predictive signature could be developed. Such a signature could assist in optimizing individualized locoregional treatment. RNA-seq using next-generation sequencing was performed on fresh frozen samples from pretreatment biopsies and post-RT surgery specimens from patients with low-risk breast cancer treated within the multicenter preoperative accelerated partial breast irradiation trial. Patients were treated with preoperative RT (10 × 4 Gy in 10 days or 5 × 6 Gy in 5 days) and a lumpectomy 6 weeks thereafter. The response of the tumor to RT was evaluated by pathologic assessment. To analyze the gene expression data, unsupervised and supervised clustering was performed. Gene expression profiles were compared between biopsies of responders and nonresponders and between samples before and after RT. Ninety-four samples from 77 patients were analyzed: 68 pretreatment biopsies and 26 post-RT surgery specimens. Six patients had a (near) complete pathologic response, 3 patients had a good response, 32 patients had a partial response, and 22 patients had no or very limited response. Comparing patients with and without response to RT, 25 genes were significantly differentially expressed and were not linked to a pathway. Comparison of samples before and after RT identified significant changes in gene expression. Genes involved in p53 signaling, TNFA1 signaling, apoptosis, epithelial mesenchymal transition, and inflammatory response were upregulated. Genes involved in mitotic spindle, G2M checkpoint, and E2F targets were downregulated. Radiation-induced gene expression changes mainly involved p53 signaling, cell cycle regulation, DNA repair, and inflammatory response. No clinically significant differences could be identified in gene expression between patients with and without response to RT.

Abstract 3741: Identification of RNA binding proteins influenced by ionizing radiation through RNA interactome capture

Abstract Cells respond to ionizing radiation (IR) through the activities of constitutively expressed proteins and through changes in gene expression. Constitutively expressed proteins play well-defined roles in major components of the cellular radioresponse, such as DNA repair and cell cycle. However, the contribution of changes in gene expression to the radioresponse is less understood. We have previously demonstrated through polysome profiling and microarray analysis that translational control is a key component of radiation-induced changes in gene expression. In response to IR, specific transcripts are recruited to or away from polysomes without affecting the global polysome profile of the cells. One mechanistic explanation for this observation is that IR influences the activity of RNA binding proteins (RBPs), which regulate the inclusion or exclusion of transcripts from polysomes. Here, we utilized RNA interactome capture (RIC) to identify RBPs bound to transcripts in control and irradiated human cancer cells. Cells were either mock irradiated or treated with 2Gy. One hour post-IR, RNA and protein complexes were crosslinked with 254 nm UV light. mRNA was isolated from cell lysates with oligo(dT) magnetic beads followed by several rounds of highly stringent washes to remove non-specific interactors. RNA was removed from crosslinked proteins by RNase digestion. The proteins were separated on SDS-PAGE gels and subjected to in-gel trypsin digestion, and the subsequent peptides were analyzed by label-free quantification mass spectrometry using an Orbitrap Fusion mass spectrometer. Proteome Discoverer 2.2 was used to search the data against human proteins from the UniProt database using SequestHT with a 1% false discovery rate. We found that we were able to efficiently pull down RNA:protein complexes with a crosslinking dose of 150 mJ/cm2. As determined by silver staining, the protein pattern of crosslinked samples differed greatly from protein isolated from whole cell lysates. By western blot, this method highly enriched for known RBPs, such as PTBP1 and CUGBP1, while contamination from non-RBPs, such as actin and tubulin, was not detected. By mass spectrometry, we identified hundreds of RBPs in each replicate above the no crosslinking background control for both untreated and irradiated cells. However, more RBPs were consistently detected in the control cells. Examples of RBPs preferentially binding in control cells include SSB, a protein involved in a variety of RNA metabolic processes, and U2AF2, a protein involved in RNA splicing. Overall, these data demonstrate that RIC is a sensitive and rigorous method to identify RBPs and that RBPs may play a role in radiation-induced post-transcriptional gene regulation. Preferential binders identified by this method may provide further insight into pathways regulating tumor cell radiosensitivity. Citation Format: Stacey L. Lehman, Theresa Wechsler, Gaelyn C. Lyons, Lisa M. Jenkins, Kevin Camphausen, Philip J. Tofilon. Identification of RNA binding proteins influenced by ionizing radiation through RNA interactome capture [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3741.

Rapid High-Throughput Diagnostic Triage after a Mass Radiation Exposure Event Using Early Gene Expression Changes.

Radiological exposure scenarios involving large numbers of people require a rapid and high-throughput method to identify the unexposed, and those exposed to low- and high-dose radiation. Those with high-dose exposure, e.g., >2 Gy and depending on host characteristics, may develop severe hematological acute radiation syndrome (HARS), requiring hospitalization and treatment. Previously, we identified a set of genes that discriminated these clinically relevant groups. In the current work, we examined the utility of gene expression changes to classify 1,000 split blood samples into HARS severity scores of H0, H1 and H2-4, with the latter indicating likely hospitalization. In several previous radiation dose experiments, we determined that these HARS categories corresponded, respectively, to doses of 0 Gy (unexposed), 0.5 Gy and 5 Gy. The main purpose of this work was to assess the rapidity of blood sample processing using targeted next-generation sequencing (NGS). Peripheral blood samples from two healthy donors were X-ray irradiated in vitro and incubated at 37°C for 24 h. A total of 1,000 samples were evaluated by laboratory personnel blinded to the radiation dose. Changes in gene expression of FDXR, DDB2, POU2AF1 and WNT3 were examined with qRT-PCR as positive controls. Targeted NGS (TREX) was used on all samples for the same four genes. Agreement using both methods was almost 78%. Using NGS, all 1,000 samples were processed within 30 h. Classification of the HARS severity categories corresponding to radiation dose had an overall agreement ranging between 90-97%. Depending on the end point, either a combination of all genes or FDXR alone (H0 HARS or unexposed) provided the best classification. Using this optimized automated methodology, we assessed 100× more samples approximately three times faster compared to standard cytogenetic studies. We showed that a small set of genes, rather than a complex constellation of genes, provided robust positive (97%) and negative (97%) predictive values for HARS categories and radiation doses of 0, 0.5 and 5 Gy. The findings of this study support the potential utility of early radiation-induced gene expression changes for high-throughput biodosimetry and rapid identification of irradiated persons in need of hospitalization.

Human lung epithelial cells cultured in the presence of radon-emitting rock experience gene expression changes similar to those associated with tobacco smoke exposure

Radon is the second leading cause of lung cancer, after tobacco smoke. While tobacco smoke-induced carcinogenesis has been studied extensively, far less is known about radon-induced carcinogenesis, particularly in relation to the influence of radon on gene expression. The objectives of the work described herein were to (a) determine if and how exposure to low dose radon-emitting rock influences cells, at the gene expression level, and (b) compare any gene expression changes resulting from the exposure to radon-emitting rock with those induced by exposure to tobacco smoke. Any potential radiation-induced gene expression changes were also compared to those induced by exposure to cannabis smoke, a non-carcinogen at low doses, used here as a smoke exposure comparator. Human lung epithelial cells were exposed to radon-emitting rock, tobacco smoke or cannabis smoke, over months, and RNA-sequencing was carried out. We found that the rock-exposed cells experienced significant gene expression changes, particularly of the gene AKR1C3, and that these changes, over time, increasingly reflected those associated with exposure to tobacco, but not cannabis, smoke. We postulate that the early gene expression changes common to both the radiation and tobacco smoke exposures constitute a related - potentially pre-carcinogenic - response. Our findings suggest that the length of time a dividing population of cells is exposed to a constant low concentration of radon (with a potential cumulative absorbed dose) could be an important risk parameter for neoplastic transformation/carcinogenesis.

Radiation-Induced Gene Expression Changes in High and Low Grade Breast Cancer Cell Types.

Background: There is extensive scientific evidence that radiation therapy (RT) is a crucial treatment, either alone or in combination with other treatment modalities, for many types of cancer, including breast cancer (BC). BC is a heterogeneous disease at both clinical and molecular levels, presenting distinct subtypes linked to the hormone receptor (HR) status and associated with different clinical outcomes. The aim of this study was to assess the molecular changes induced by high doses of ionizing radiation (IR) on immortalized and primary BC cell lines grouped according to Human epidermal growth factor receptor (HER2), estrogen, and progesterone receptors, to study how HR status influences the radiation response. Our genomic approach using in vitro and ex-vivo models (e.g., primary cells) is a necessary first step for a translational study to describe the common driven radio-resistance features associated with HR status. This information will eventually allow clinicians to prescribe more personalized total doses or associated targeted therapies for specific tumor subtypes, thus enhancing cancer radio-sensitivity. Methods: Nontumorigenic (MCF10A) and BC (MCF7 and MDA-MB-231) immortalized cell lines, as well as healthy (HMEC) and BC (BCpc7 and BCpcEMT) primary cultures, were divided into low grade, high grade, and healthy groups according to their HR status. At 24 h post-treatment, the gene expression profiles induced by two doses of IR treatment with 9 and 23 Gy were analyzed by cDNA microarray technology to select and compare the differential gene and pathway expressions among the experimental groups. Results: We present a descriptive report of the substantial alterations in gene expression levels and pathways after IR treatment in both immortalized and primary cell cultures. Overall, the IR-induced gene expression profiles and pathways appear to be cell-line dependent. The data suggest that some specific gene and pathway signatures seem to be linked to HR status. Conclusions: Genomic biomarkers and gene-signatures of specific tumor subtypes, selected according to their HR status and molecular features, could facilitate personalized biological-driven RT treatment planning alone and in combination with targeted therapies.

Abstract 841: UTR analysis identifies Musashi1 as a translational regulator of radiation-induced Golgi-related gene expression

Abstract The cellular radioresponse is regulated by post-translational modification of constitutively expressed proteins and by changes in gene expression. Although the role of constitutively expressed proteins, such as those involved in the DNA damage response and cell cycle checkpoints, is well-understood in the context of the radioresponse, radiation-induced changes in gene expression are not as clearly defined. We have previously demonstrated that glioblastoma stem-like cells (GSCs) alter their gene expression at the translational level in response to ionizing radiation (IR). In particular, the NSC11 GSC line demonstrated thousands of genes differentially translated at one hour after a dose of 2 Gy, while considerably fewer were modified at the transcriptome level. Furthermore, there was little overlap between the transcriptome and the translatome. Genes undergoing translational regulation in response to IR fell into distinct functional categories, including mitochondrial structure and function, Golgi function, and translational regulation. Here, we aimed to elucidate the mechanism by which IR induces translational changes in the NSC11 GSC line. NSC11 cells were either exposed to 2 Gy or mock irradiated, and polysomes were isolated by sucrose gradient fractionation one hour later. Polysome-bound mRNA was purified and analyzed by microarray. The 5’ and 3’ untranslated regions (UTRs) of the top 75 up- and down-regulated genes were analyzed for the presence of regulatory elements. The most frequently occurring element in the UTRs of both the top up- and down-regulated genes was the Musashi1 binding site. Musashi1 is an RNA binding protein that typically binds to 3’ UTRs to regulate mRNA translation. It is a neural stem cell marker, and its expression is correlated with the grade of malignancy in glioma. GO term analysis of known Musashi1 target genes that were translationally regulated in response to IR revealed an enrichment of genes involved in Golgi function and vesicular trafficking. Knockdown of Musashi1 prevented IR-induced Golgi dispersal in NSC11 cells. Musashi1 knockdown also radiosensitized NSC11 cells, indicating a role for the protein in the cellular radioresponse. Together, these data demonstrate that in the NSC11 GSC line, Musashi1 contributes to radiation-induced translational regulation, specifically in the context of Golgi-related genes, and suggests that Musashi1 is a novel target for radiosensitization. Citation Format: Stacey L. Lehman, John W. O'Neill, Kevin Camphausen, Philip J. Tofilon. UTR analysis identifies Musashi1 as a translational regulator of radiation-induced Golgi-related gene expression [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 841. doi:10.1158/1538-7445.AM2017-841

Effects of CTGF Blockade on Attenuation and Reversal of Radiation-Induced Pulmonary Fibrosis.

Radiotherapy is a mainstay for the treatment of lung cancer that can induce pneumonitis or pulmonary fibrosis. The matricellular protein connective tissue growth factor (CTGF) is a central mediator of tissue remodeling. A radiation-induced mouse model of pulmonary fibrosis was used to determine if transient administration of a human antibody to CTGF (FG-3019) started at different times before or after 20 Gy thoracic irradiation reduced acute and chronic radiation toxicity. Mice (25 mice/group; 10 mice/group in a confirmation study) were examined by computed tomography, histology, gene expression changes, and for survival. In vitro experiments were performed to directly study the interaction of CTGF blockade and radiation. All statistical tests were two-sided. Administration of FG-3019 prevented (∼50%-80%) or reversed (∼50%) lung remodeling, improved lung function, improved mouse health, and rescued mice from lethal irradiation ( P < .01). Importantly, when antibody treatment was initiated at 16 weeks after thoracic irradiation, FG-3019 reversed established lung remodeling and restored lung function. CTGF blockade abrogated M2 polarized macrophage influx, normalized radiation-induced gene expression changes, and reduced myofibroblast abundance and Osteopontin expression. These results indicate that blocking CTGF attenuates radiation-induced pulmonary remodeling and can reverse the process after initiation. CTGF has a central role in radiation-induced fibrogenesis, and FG-3019 may benefit patients with radiation-induced pulmonary fibrosis or patients with other forms or origin of chronic fibrotic diseases.

Abstract LB-175: ATM regulates radiation-induced translational control of gene expression

Abstract The cellular radioresponse is composed of processes regulated by constitutively expressed proteins and processes regulated by new gene expression. While processes regulated by constitutively expressed proteins, such as those participating in DNA repair and cell cycle arrest, have been extensively studied, the radiation-induced changes in gene expression are not well defined. Previously, we have demonstrated that translation plays an important role in regulating gene expression in response to radiation. In glioblastoma cells, treatment with radiation affects more genes at the translational level than at the transcriptional level. Specific transcripts were found to be recruited to or away from polysomes without global changes in the polysome profile of the cells. Here, we utilized microarray analysis of polysome-associated transcripts in the glioblastoma stem-like cell line NSC11 to demonstrate that the DNA damage response kinase ATM controls the translation of a subset of genes as part of the radioresponse. Cells were incubated with the ATM inhibitor KU-60019 at a dose of 500nM for one hour, exposed to 2 Gy, and harvested for polysome extraction one hour after irradiation. ATM inhibition blocked translational changes of approximately one third of genes that were affected by radiation. Gene enrichment analysis revealed that genes translationally regulated by ATM were significantly involved in a number of cellular processes, indicating that ATM-mediated translational control may have functional consequences on the cellular radioresponse. By GSEA, cells treated with radiation alone were highly enriched for terms involving mitochondrial structure and function, cellular respiration, and oxidative stress as compared to irradiated cells treated with the ATM inhibitor. Other significantly enriched categories of functional interest included the spliceosome, RNA catabolic processes, the small nuclear ribonucleoprotein complex, and phospholipid and phosphoinositide metabolism. Analysis of UTR regulatory elements revealed that a significant percentage of the genes translationally upregulated by ATM in irradiated cells were enriched for HuR binding sites, which suggests a potential mechanism for polysome recruitment of these transcripts. Overall, these findings uncover a novel network of post-transcriptional gene regulation orchestrated by ATM and provide a framework to identify potential new molecules and pathways that govern tumor cell radiosensitivity. Citation Format: Stacey L. Lehman, Amy Wahba, Kevin Camphausen, Philip J. Tofilon. ATM regulates radiation-induced translational control of gene expression. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-175.

High and low dose radiation effects on mammary adenocarcinoma cells - an epigenetic connection.

The successful treatment of cancer, including breast cancer, depends largely on radiation therapy and proper diagnostics. The effect of ionizing radiation on cells and tissues depends on the radiation dose and energy level, but there is insufficient evidence concerning how tumor cells respond to the low and high doses of radiation that are often used in medical diagnostic and treatment modalities. The purpose of this study was to investigate radiation-induced gene expression changes in the MCF-7 breast adenocarcinoma cell line. Using microarray technology tools, we were able to screen the differential gene expressions profiles between various radiation doses applied to MCF-7 cells. Here, we report the substantial alteration in the expression level of genes after high-dose treatment. In contrast, no dramatic gene expression alterations were noticed after the application of low and medium doses of radiation. In response to a high radiation dose, MCF-7 cells exhibited down-regulation of biological pathways such as cell cycle, DNA replication, and DNA repair and activation of the p53 pathway. Similar dose-dependent responses were seen on the epigenetic level, which was tested by a microRNA expression analysis. MicroRNA analysis showed dose-dependent radiation-induced microRNA expression alterations that were associated with cell cycle arrest and cell death. An increased rate of apoptosis was determined by an Annexin V assay. The results of this study showed that high doses of radiation affect gene expression genetically and epigenetically, leading to alterations in cell cycle, DNA replication, and apoptosis.

Radiation therapy may increase metastatic potential in alveolar rhabdomyosarcoma.

We previously determined that radiation could be safely administered using a mouse-flank in vivo model to both alveolar (Rh30) and embryonal (Rh18) rhabdomyosarcoma xenografts. Mice from both tumor lines in this experiment developed metastases, an event not previously described with these models. We sought to determine if radiation-induced changes in gene expression underlie an increase in the metastatic behavior of these tumor models. Parental Rh18 and Rh30 xenografts, as well as tumor that recurred locally after radiotherapy (Rh18RT and Rh30RT), were grown subcutaneously in the flanks of SCID mice and then subjected to either fractionated radiotherapy or survival surgery alone. Metastasis formation was monitored and recorded. Gene expression profiling was also performed on RNA extracted from parental, recurrent, and metastatic tissue of both tumor lines. Rh30 and Rh30RT xenografts demonstrated metastases only if they were exposed to fractionated radiotherapy, whereas Rh18 and Rh18RT xenografts experienced significantly fewer metastatic events when treated with fractionated radiotherapy compared to survival surgery alone. Mean time to metastasis formation was 40 days in the recurrent tumors and 73 days in the parental xenografts. Gene expression profiling noted clustering of Rh30 recurrent and metastatic tissue that was independent of the parental Rh30 tissue. Rh18RT xenografts lost radiosensitivity compared to parental Rh18. Radiation therapy can significantly decrease the formation of metastases in radio-sensitive tumors (Rh18) and may induce a more pro-metastatic phenotype in radio-resistant lines (Rh30).

Light-regulated microRNAs.

In addition to exposure to passive diurnal cycles of sunlight, humans are also subjected to intentional acute exposure to other types of electromagnetic radiation (EM). Understanding the molecular mechanisms involved in the physiological, pathological and therapeutic responses to exposure to radiation is an active area of research. With the advent of methods to readily catalog and identify patterns of changes in gene expression, many studies have reported changes in gene expression upon exposure of various human and mouse cells in vitro, whole experimental organisms such as mice and parts of human body. However, the molecular mechanisms underlying these broad ranging changes in gene expression are not yet fully understood. MicroRNAs, which are short, noncoding RNAs that regulate gene expression by targeting many messenger RNAs, are also emerging as important mediators of radiation-induced changes in gene expression and hence critical for the manifestation of light-induced cellular phenotypes and physiological responses. In this article, we review available knowledge on microRNAs implicated in responses to various forms of solar and other EM radiation. Based on this knowledge, we elaborate some unifying themes in the regulation and functions of some of these miRNAs.

Abstract SY42-01: Translational control and tumor stem cell radioresponse

Abstract SY42-01: Translational control and tumor stem cell radioresponse