Open Access
Research article | Published: 03 November 2022

Breast Cancer Sera Changes in Alu Element Methylation Predict Metastatic Disease Progression

DENARIYAKOON SIKRIT 1
, 
PUTTIPANYALEARS CHAROENCHAI 2
, 
CHATAMRA KRIS 1
  &  
MUTIRANGURA APIWAT 2

1Queen Sirikit Centre for Breast Cancer, The Thai Red Cross Society, Bangkok, Thailand

2Center of Excellence in Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand

Cancer Diagnosis & Prognosis Nov-Dec; 2(6): 731-738 DOI: 10.21873/cdp.10168
Received 01 August 2022 | Revised 19 April 2024 | Accepted 19 September 2022
Corresponding author
Apiwat Mutirangura, Center of Excellence in Molecular Genetics of Cancer and Human Diseases, Department of Anatomy, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand. Tel: +66 22564683 apiwatmutirangura@gmail.com

Abstract

Background/Aim: During metastatic disease development, the cancer-immune system crosstalk induces epigenetic modifications to immune cells, impairing their functions. Recently, Alu elements methylation changes were widely studied in terms of early cancer detection. This study aimed to demonstrate in vitro Alu element methylation changes in peripheral immune cells in a metastatic setting and examine their prognostic values in metastatic breast cancer. Materials and Methods: Sera from sixteen metastatic cancer patients and sixteen healthy participants were obtained and used to culture normal peripheral immune cells. After 48 h of incubation, the percentage and pattern of Alu element methylation were examined for clinical relevance. Results: We found that the Alu element hypomethylation was affected by age in the cancer group. Intriguingly, a decrease in Alu element methylation was found in patients with early progressive disease. Moreover, an increase in unmethylated cytosine (mCuC) loci was related to the poorer prognosis group. Accordingly, the decrease in Alu element methylation and the increase in mCuC loci pattern in peripheral immune cells correlated with poorer prognosis and early progression in metastatic breast cancer. Conclusion: Alu element hypomethylation in immune cells and their increased mCuC foci were related to the early progression of breast cancer. These warrant the use of Alu element methylation changes for diagnostic and therapeutic purposes in breast cancer.
Keywords: Alu elements methylation, breast cancer, metastasis, cancer serum

Breast cancer is the most globally prevalent cancer and the leading cause of death in females (1). Although multimodality treatment has been proven to improve oncologic outcomes, 10%-20% of curative breast cancer patients still develop metastatic diseases (2). To date, the understanding of cancer biology provides specific treatments and precise prognoses (3,4). However, metastatic recurrences are not prevented. Currently, immune cell surveillance is found to be necessary to control the occurrence of transformed cells, and these durable immune responses could prevent metastatic events (5).

The infiltrating immune cells and circulating immune cells are widely examined in breast cancer research (6,7). Although the self-immune responses are the self-protective systems which recognize and eradicate cancer development, the cancer-associated epigenetic alteration of immune cells eventually causes host immune dysfunction, which promotes cancer cell survival (8,9). This plasticity of immune cells results from global methylation changes in breast cancer-associated immune cells (10).

The blood DNA methylation level has been studied as a non-invasive biomarker because blood DNA methylation is affected by cancer-immune cell interactions. Therefore, blood DNA methylation can early detect carcinogenesis (11). Many researchers use the methylation level of transposons as global methylation surrogates. Because the intersperse elements approximate 45% of human genomes, the Alu element methylation is generally demonstrated as the global methylation status (12). Since the CpG sites of Alu elements are usually methylated in normal cells, the hypomethylation of these elements has been stated as one of the early signs of carcinogenesis (13).

Furthermore, these repetitive transposons are currently known as factors involved in genomic instability (14,15). In this circumstance, blood cell Alu element methylation is altered after the occurrence of metastasis (16). Furthermore, the aggressiveness of the metastatic disease depends on cancer signatures (17). The presence of dysfunctional immune cells accelerates disease progression. In metastatic disease, alterations in Alu element methylation are affected by several factors, including disease prognostic factors, treatment toxicity, and genomic stability of immune cells. Moreover, alterations in Alu element methylation were found in immunopathologic diseases (18). Therefore, blood cell Alu element methylation and disease biology reciprocally determine disease prognosis.

In this study, we aimed to demonstrate cancer-associated methylation changes of normal immune cells. We designed an experiment to measure Alu element methylation in peripheral blood mononuclear cells (PBMCs) after being exposed to cancer serum from metastatic breast cancer patients. The Combine Bisulfite Restriction Analysis (COBRA) was used to analyze the level and patterns of methylation (19). These changes were compared with those of normal and bovine serum. We examined whether these changes could provide prognostic values in metastatic breast cancer.

Materials and Methods

The recruitment of 16 metastatic breast cancer participants and 16 healthy participants with normal mammographic results was performed at Queen Sirikit Centre for Breast Cancer from December 2020-May 2021. The follow-up data were updated until the progressive disease was noted radiographically or the 90-day follow-up duration was reached. Time to progression was calculated from the sample retrieval date to the disease progression date. The exclusion criteria included other chronic medical diseases, other malignancies, and a history of blood transfusion within 3 months. A written informed consent was obtained from each participant. The demographic data and medical records were retrieved from King Chulalongkorn Memorial Hospital database. The study was approved by the Ethics Committee of the Faculty of Medicine, Chulalongkorn University (IRB no. 789/63).

Blood and sera samples. A total of 16 ETDA tubes were collected from 16 healthy participants. The fresh blood was diluted by Roswell Park memorial institute (RPMI) 1640 medium. The blood samples were gently layered on Lymphoprep™ (Stemcell™, Waterbeach, Cambridge, UK) and centrifuged at 500 × g for 30 min with a brake-off. The interface PBMC layer was softly collected and maintained in a 6-well plate of complete RPMI medium. Trypan blue was used to determine cell number.

Blood was also collected in clot blood tubes for all study participants. The fluid part of the samples was collected and placed in Eppendorf tubes. The samples were centrifuged, and the serum was collected.

Culture of PBMCs in sera. PBMCs were cultured in bovine, normal, or cancer serum. The experiment was performed in triplicate. The RPMI 1640 medium was supplemented with 20% of allocated serum in a 6-well plate. PBMCs were seeded at 2.5×105 cells/ml per well. The culture well plates were maintained at 37˚C in a humidified atmosphere containing 5% CO2 for 48 h. Then, PBMCs were collected and centrifuged. The cell pellets were used for DNA extraction.

Quantitative combine bisulfite restriction analysis for Alu elements (COBRA Alu). The cell pellets were lysed with cell lysis buffer II (0.75 M NaCl, 0.024 M EDTA at pH 8), 10% sodium dodecyl sulfate (Sigma-Aldrich, St Louis, MO, USA), and 20 mg/ml proteinase K (Usbio, Salem, MA, USA). The phenol-chloroform extraction method was used to extract genomic DNA. Five hundred ng of genomic DNA was used for quantification of the methylation level. The samples were treated with sodium bisulfite using an EZ DNA methylation-GoldTM kit (Zymo Research, Irvine, CA, USA) based on the manufacturer’s instructions. Subsequently, a total of 1 μl of bisulfited DNA was subjected to 45 cycles of PCR using the following Alu elements primers.

Forward (5’-GGYGYGGTGGTTTAYGTTTGTAA-3’)

Reverse (5’-CTAACTTTTTATATTTTTAATAAAAACRAAATTTC ACCA-3’).

The PCR was performed to generate 133 bp amplicons. The amplified amplicons were digested using 2 units of Taq1 (Thermo Scientific, Waltham, MA, USA) endonuclease in NE buffer III at 65˚C overnight. The PCR products were analyzed by 8% polyacrylamide gel electrophoresis and stained with SYBR green (SYBR® Green, Sigma-Aldrich). After incubation in SYBR solution, the gels were captured with epiblue light, and band intensity analysis was performed by using a phosphor imager and Image Quant Software (Molecular Dynamics, GE Healthcare®, Slough, UK).

Methylation analysis. In the COBRA technique, two sites of PCR products were used to determine the status of CpG methylation. An unmethylated site was modified by sodium bisulfite to avoid the restriction enzyme digestion. There were four bands that determine their Alu methylation patterns including 133 bp (uCuC), 90 bp (mCuC), 75 bp (uCmC), and 32 bp (mCmC) as shown in Figure 1. The intensity of each band was normalized by its paired length to calculate the amount of their amplicons as follows: 133 bp/133 (A), 58 bp/58 (B), 75 bp/73 (C), 90 bp/90 (D) and 43 bp/41 (E). The methylation percentage of each sample was calculated using the following formula:

The percentage of Alu element methylation=[(E + B)/

(E +B + 2A + C +D)]×100

All gels were normalized by bisulfite-converted 100% methylated human DNA (Zymo Research).

Statistical analysis. Data are reported as mean and percentages. The paired and unpaired t-tests were used to compare quantitative data. The Pearson correlation was used to determine correlations with age. The unpaired t-test and ANOVA were used in clinical data analysis. Statistical significance was set at p-value <0.05. The analysis was performed using IBM SPSS software (version 26.0, Chicago, IL, USA).

Results

Participant characteristics. The study included 16 healthy participants with a mean age of 53.06 years, range=37-62 years. In the breast cancer group, there were 16 sera from metastatic breast cancer patients. Their mean age was 50.5 years, range=33-62 years. All participants in the cancer group received systemic treatment, including chemotherapy and anti-hormonal treatment for their disseminated diseases. The median follow-up time was 140.5 days in the breast cancer group. The clinicopathological characteristics are presented in Table I. Disease progression was determined by radiographic evidence. Time to progression was calculated from the sample retrieval date to the disease progression date.

Alu element methylation changes in PBMCs after culture with cancer or normal serum. After 48 h of culture, the mean percentages of Alu element methylation were 67.61, 66.17, and 66.87 in the bovine, normal, and cancer serum group, respectively (Figure 2). The paired t-test revealed no statistical significance (p=0.54 in cancer vs. normal serum, and p=0.41 in cancer vs. bovine serum).

Alu element methylation changes related to cancer prognosis. Percentage changes in Alu element methylation after 48-h incubation with cancer serum were calculated as the differences from bovine serum and healthy serum groups. These differences were examined for clinical relevance. The breast cancer prognostic factors were used to examine whether the differences in Alu methylation changes determined good and poor prognostic factors, as demonstrated in Table I. Moreover, time to progression was used as a prognostic factor in this study. Cancer patients were divided according to time to progression (TTP) into two groups; in the TTP≤90 group where patients progressed in less than 90 days and the TTP>90 group in which patients progressed in more than 90 days. There were 7 samples in the TTP≤90 and 9 samples in the TTP>90 group. Their mean ages were 53 years in the TTP≤90 group and 48 years in the TTP>90 group (p=0.31), and the age ranges were comparable between groups (39-62 years in the TTP≤90 group and 33-61 years in the TTP>90 group). Interestingly, the mean difference in Alu elements methylation was significantly lower in the TTP≤90 group, which was -3.48%, whereas in the TTP>90 group was +1.37% (p=0.008) (Figure 3). However, the means were not significantly different between cancer serum and normal serum. These findings suggest that the progression of breast cancer was related to hypomethylated Alu elements of circulating immune cells.

Changes in Alu element methylation pattern determined early progression in metastatic breast cancer. In the COBRA technique, the pattern of Alu element methylation was divided into four patterns, including double methylated cytosine loci (mCmC), unmethylated cytosine followed by methylated cytosine loci (uCmC), methylated cytosine followed by unmethylated cytosine loci (mCuC), and double unmethylated cytosine loci (uCuC). In this study, hypomethylation in circulating immune cells was found in the early cancer progression group, which showed significant patterns of the hypomethylation including increased mCuC loci and decreased mCmC loci. In detail, the percentages of mCuC were 17.24 and 21.34 in TTP>90 and TTP≤90 groups, respectively (p=0.016). Moreover, the percentages of mCmC were 46.27 and 39.80 in TTP>90 and TTP≤90 groups, respectively (p=0.022) (Figure 4).

Discussion

The methylation of Alu elements in blood cells has been used for cancer diagnosis and prognosis for many years (12,20,21). For instance, alterations of Alu element methylation were demonstrated in cancer patients, including breast, colon, and pancreatic cancer (22-25). As we know, the methylation status is dynamic. External factors, such as viral infection, burn, and tobacco, could alter the methylation status (26-29). Furthermore, several studies have shown early changes of Alu element methylation in cancer (28,30). Moreover, this alteration in methylation has also been found preclinically (22). In this study, methylation changes in immune cells were found after 48 h incubation with cancer sera, and the hypomethylation in immune cells was related to early disease progression.

In this study, changes in Alu element methylation were related to the early progression of metastatic breast cancer. These findings are in accordance with a previous study showing Alu element hypomethylation in immune cells in relation to carcinogenesis (12). Moreover, other studies showed a higher odd ratio of hypomethylated Alu elements with advanced staging and lymph node involvement (16,31). In this study, all cancer sera were retrieved from metastatic breast cancer patients. Although we did not find an association between Alu element hypomethylation and tumor characteristics, this change in immune cells tended to predict the progression of metastatic breast cancer, whereas the sensitivity of current tumor markers and circulating tumor cells was not as effective (32,33). Therefore, the changes in Alu element methylation in circulating immune cells are challenging to study in metastatic breast cancer.

Apart from global genome-wide methylation status, Alu element methylation has also been related to aging and organ function impairment (34). Furthermore, another study found Alu element hypomethylation in the elderly (35). As in chronic diseases, such as diabetes and osteoporosis, Alu element hypomethylation was found in those diseases with high severity (36,37). It is known that aging is the consequence of DNA damages and metabolic disturbances. The accumulation of these events creates genomic instability (38). Recently, siRNA of Alu elements have been used to increase methylation of Alu elements, and lower levels of DNA damage markers were found after exposure to DNA damage damaging agents in the siRNA treated group (15). These findings suggested the association of Alu element methylation and cellular aging.

According to the COBRA technique, there were 2 restriction sites of methylated CpG for evaluation. In our study, hypomethylation in immune cells was found to be partial, and the mCuC loci were prominent. This pattern of hypomethylation in immune cells was found to be associated with shorter survival of patients with head and neck cancer (16,26). On the contrary, the percentage of mCuC loci was decreased in autoimmune diseases (39). Here, the increase in mCuC loci percentage represented Alu element hypomethylation was associated with a worse prognosis.

In conclusion, this study demonstrated breast cancer-induced epigenetic modifications in immune cells. Although the pattern of Alu element methylation changes was not consistent, hypomethylation in immune cells was related to the early progression of breast cancer. Moreover, the most prominent pattern of Alu element hypomethylation was mCuC loci. These findings warrant the use of Alu element methylation changes in leukocytes for diagnostic and therapeutic purposes in breast cancer.

Conflicts of Interest

The Authors declare no conflicts of interest in relation to this study.

Authors’ Contributions

Research design: Muthirangura A., Puttipanyalears C, and Denariyakoon S; experimental work: Denariyakoon S; review and revision; Muthirangura A., Puttipanyalears C, and Chatamra K.

Acknowledgements

This study was supported by Graduate School, Chulalongkorn University, Faculty of Medicine, Chulalongkorn University, and the National Science and Technology Development Agency (FDA-CO-2561-8477-TH).

References

1 DeSantis CE ,  Bray F ,  Ferlay J ,  Lortet-Tieulent J ,  Anderson BO & Jemal A .  international variation in female breast cancer incidence and mortality rates. Cancer Epidemiol Biomarkers Prev. 24(10) 1495 - 1506 2015. PMID: 26359465. DOI: 10.1158/1055-9965.EPI-15-0535
2 Pedersen RN ,  Esen BÖ ,  Mellemkjær L ,  Christiansen P ,  Ejlertsen B ,  Lash TL ,  Nørgaard M & Cronin-Fenton D .  the incidence of breast cancer recurrence 10-32 years after primary diagnosis. J Natl Cancer Inst. 114(3) 391 - 399 2022. PMID: 34747484. DOI: 10.1093/jnci/djab202
3 Lehmann BD ,  Jovanović B ,  Chen X ,  Estrada MV ,  Johnson KN ,  Shyr Y ,  Moses HL ,  Sanders ME & Pietenpol JA .  Refinement of triple-negative breast cancer molecular subtypes: implications for neoadjuvant chemotherapy selection. PLoS One. 11(6) e0157368 2016. PMID: 27310713. DOI: 10.1371/journal.pone.0157368
4 Perou CM ,  Sørlie T ,  Eisen MB ,  van de Rijn M ,  Jeffrey SS ,  Rees CA ,  Pollack JR ,  Ross DT ,  Johnsen H ,  Akslen LA ,  Fluge O ,  Pergamenschikov A ,  Williams C ,  Zhu SX ,  Lønning PE ,  Børresen-Dale AL ,  Brown PO & Botstein D .  Molecular portraits of human breast tumours. Nature. 406(6797) 747 - 752 2000. PMID: 10963602. DOI: 10.1038/35021093
5 Hiam-Galvez KJ ,  Allen BM & Spitzer MH .  Systemic immunity in cancer. Nat Rev Cancer. 21(6) 345 - 359 2021. PMID: 33837297. DOI: 10.1038/s41568-021-00347-z
6 Kurozumi S ,  Inoue K ,  Matsumoto H ,  Fujii T ,  Horiguchi J ,  Oyama T ,  Kurosumi M & Shirabe K .  Prognostic utility of tumor-infiltrating lymphocytes in residual tumor after neoadjuvant chemotherapy with trastuzumab for HER2-positive breast cancer. Sci Rep. 9(1) 1583 2019. PMID: 30733496. DOI: 10.1038/s41598-018-38272-1
7 El Bairi K ,  Haynes HR ,  Blackley E ,  Fineberg S ,  Shear J ,  Turner S ,  de Freitas JR ,  Sur D ,  Amendola LC ,  Gharib M ,  Kallala A ,  Arun I ,  Azmoudeh-Ardalan F ,  Fujimoto L ,  Sua LF ,  Liu SW ,  Lien HC ,  Kirtani P ,  Balancin M ,  El Attar H ,  Guleria P ,  Yang W ,  Shash E ,  Chen IC ,  Bautista V ,  Do Prado Moura JF ,  Rapoport BL ,  Castaneda C ,  Spengler E ,  Acosta-Haab G ,  Frahm I ,  Sanchez J ,  Castillo M ,  Bouchmaa N ,  Md Zin RR ,  Shui R ,  Onyuma T ,  Yang W ,  Husain Z ,  Willard-Gallo K ,  Coosemans A ,  Perez EA ,  Provenzano E ,  Ericsson PG ,  Richardet E ,  Mehrotra R ,  Sarancone S ,  Ehinger A ,  Rimm DL ,  Bartlett JMS ,  Viale G ,  Denkert C ,  Hida AI ,  Sotiriou C ,  Loibl S ,  Hewitt SM ,  Badve S ,  Symmans WF ,  Kim RS ,  Pruneri G ,  Goel S ,  Francis PA ,  Inurrigarro G ,  Yamaguchi R ,  Garcia-Rivello H ,  Horlings H ,  Afqir S ,  Salgado R ,  Adams S ,  Kok M ,  Dieci MV ,  Michiels S ,  Demaria S ,  Loi S & International Immuno-Oncology Biomarker Working Group .  The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group. NPJ Breast Cancer. 7(1) 150 2021. PMID: 34853355. DOI: 10.1038/s41523-021-00346-1
8 Bates JP ,  Derakhshandeh R ,  Jones L & Webb TJ .  Mechanisms of immune evasion in breast cancer. BMC Cancer. 18(1) 556 2018. PMID: 29751789. DOI: 10.1186/s12885-018-4441-3
9 Gil Del Alcazar CR ,  Alečković M & Polyak K .  Immune escape during breast tumor progression. Cancer Immunol Res. 8(4) 422 - 427 2020. PMID: 32238387. DOI: 10.1158/2326-6066.CIR-19-0786
10 Geginat J ,  Paroni M ,  Maglie S ,  Alfen JS ,  Kastirr I ,  Gruarin P ,  De Simone M ,  Pagani M & Abrignani S .  Plasticity of human CD4 T cell subsets. Front Immunol. 5 630 2014. PMID: 25566245. DOI: 10.3389/fimmu.2014.00630
11 Bodelon C ,  Ambatipudi S ,  Dugué PA ,  Johansson A ,  Sampson JN ,  Hicks B ,  Karlins E ,  Hutchinson A ,  Cuenin C ,  Chajès V ,  Southey MC ,  Romieu I ,  Giles GG ,  English D ,  Polidoro S ,  Assumma M ,  Baglietto L ,  Vineis P ,  Severi G ,  Herceg Z ,  Flanagan JM ,  Milne RL & Garcia-Closas M .  Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies. Breast Cancer Res. 21(1) 62 2019. PMID: 31101124. DOI: 10.1186/s13058-019-1145-9
12 Ye D ,  Jiang D ,  Zhang X & Mao Y .  Alu Methylation and Risk of Cancer: A Meta-analysis. Am J Med Sci. 359(5) 271 - 280 2020. PMID: 32268941. DOI: 10.1016/j.amjms.2020.03.002
13 Bae JM ,  Shin SH ,  Kwon HJ ,  Park SY ,  Kook MC ,  Kim YW ,  Cho NY ,  Kim N ,  Kim TY ,  Kim D & Kang GH .  ALU and LINE-1 hypomethylations in multistep gastric carcinogenesis and their prognostic implications. Int J Cancer. 131(6) 1323 - 1331 2012. PMID: 22120154. DOI: 10.1002/ijc.27369
14 Batzer MA & Deininger PL .  Alu repeats and human genomic diversity. Nat Rev Genet. 3(5) 370 - 379 2002. PMID: 11988762. DOI: 10.1038/nrg798
15 Patchsung M ,  Settayanon S ,  Pongpanich M ,  Mutirangura D ,  Jintarith P & Mutirangura A .  Alu siRNA to increase Alu element methylation and prevent DNA damage. Epigenomics. 10(2) 175 - 185 2018. PMID: 29336607. DOI: 10.2217/epi-2017-0096
16 Kitkumthorn N ,  Keelawat S ,  Rattanatanyong P & Mutirangura A .  LINE-1 and Alu methylation patterns in lymph node metastases of head and neck cancers. Asian Pac J Cancer Prev. 13(9) 4469 - 4475 2012. PMID: 23167363. DOI: 10.7314/apjcp.2012.13.9.4469
17 van de Vijver MJ ,  He YD ,  van’t Veer LJ ,  Dai H ,  Hart AA ,  Voskuil DW ,  Schreiber GJ ,  Peterse JL ,  Roberts C ,  Marton MJ ,  Parrish M ,  Atsma D ,  Witteveen A ,  Glas A ,  Delahaye L ,  van der Velde T ,  Bartelink H ,  Rodenhuis S ,  Rutgers ET ,  Friend SH & Bernards R .  A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med. 347(25) 1999 - 2009 2002. PMID: 12490681. DOI: 10.1056/NEJMoa021967
18 Yüksel Ş ,  Kucukazman SO ,  Karataş GS ,  Ozturk MA ,  Prombhul S & Hirankarn N .  Methylation Status of Alu and LINE-1 Interspersed Repetitive Sequences in Behcet’s Disease Patients. Biomed Res Int. 2016 1393089 2016. PMID: 27123441. DOI: 10.1155/2016/1393089
19 Pobsook T ,  Subbalekha K ,  Sannikorn P & Mutirangura A .  Improved measurement of LINE-1 sequence methylation for cancer detection. Clin Chim Acta. 412(3-4) 314 - 321 2011. PMID: 21078311. DOI: 10.1016/j.cca.2010.10.030
20 Gao Y ,  Baccarelli A ,  Shu XO ,  Ji BT ,  Yu K ,  Tarantini L ,  Yang G ,  Li HL ,  Hou L ,  Rothman N ,  Zheng W ,  Gao YT & Chow WH .  Blood leukocyte Alu and LINE-1 methylation and gastric cancer risk in the Shanghai Women’s Health Study. Br J Cancer. 106(3) 585 - 591 2012. PMID: 22173668. DOI: 10.1038/bjc.2011.562
21 Akers SN ,  Moysich K ,  Zhang W ,  Collamat Lai G ,  Miller A ,  Lele S ,  Odunsi K & Karpf AR .  LINE1 and Alu repetitive element DNA methylation in tumors and white blood cells from epithelial ovarian cancer patients. Gynecol Oncol. 132(2) 462 - 467 2014. PMID: 24374023. DOI: 10.1016/j.ygyno.2013.12.024
22 Joyce BT ,  Gao T ,  Zheng Y ,  Liu L ,  Zhang W ,  Dai Q ,  Shrubsole MJ ,  Hibler EA ,  Cristofanilli M ,  Zhang H ,  Yang H ,  Vokonas P ,  Cantone L ,  Schwartz J ,  Baccarelli A & Hou L .  Prospective changes in global DNA methylation and cancer incidence and mortality. Br J Cancer. 115(4) 465 - 472 2016. PMID: 27351216. DOI: 10.1038/bjc.2016.205
23 Park S ,  Seo A ,  Jung H ,  Gwak J ,  Jung N ,  Cho N & Kang G .  Alu and LINE-1 hypomethylation is associated with HER2 enriched subtype of breast cancer. PLoS ONE. 9(6) e100429 2020. DOI: 10.1371/journal.pone.0100429
24 Rodriguez J ,  Vives L ,  Jordà M ,  Morales C ,  Muñoz M ,  Vendrell E & Peinado MA .  Genome-wide tracking of unmethylated DNA Alu repeats in normal and cancer cells. Nucleic Acids Res. 36(3) 770 - 784 2008. PMID: 18084025. DOI: 10.1093/nar/gkm1105
25 Choi IS ,  Estecio MR ,  Nagano Y ,  Kim DH ,  White JA ,  Yao JC ,  Issa JP & Rashid A .  Hypomethylation of LINE-1 and Alu in well-differentiated neuroendocrine tumors (pancreatic endocrine tumors and carcinoid tumors). Mod Pathol. 20(7) 802 - 810 2007. PMID: 17483816. DOI: 10.1038/modpathol.3800825
26 Meevassana J ,  Serirodom S ,  Prabsattru P ,  Boonsongserm P ,  Kamolratanakul S ,  Siritientong T ,  Mutirangura A & Angspatt A .  Alu repetitive sequence CpG methylation changes in burn scars. Burns. 48(6) 1417 - 1424 2022. PMID: 34657766. DOI: 10.1016/j.burns.2021.10.002
27 Westrich JA ,  Warren CJ & Pyeon D .  Evasion of host immune defenses by human papillomavirus. Virus Res. 231 21 - 33 2017. PMID: 27890631. DOI: 10.1016/j.virusres.2016.11.023
28 Parashar S ,  Cheishvili D ,  Mahmood N ,  Arakelian A ,  Tanvir I ,  Khan HA ,  Kremer R ,  Mihalcioiu C ,  Szyf M & Rabbani SA .  DNA methylation signatures of breast cancer in peripheral T-cells. BMC Cancer. 18(1) 574 2018. PMID: 29776342. DOI: 10.1186/s12885-018-4482-7
29 Bauer M ,  Fink B ,  Thürmann L ,  Eszlinger M ,  Herberth G & Lehmann I .  Tobacco smoking differently influences cell types of the innate and adaptive immune system-indications from CpG site methylation. Clin Epigenetics. 7 83 2016. PMID: 27493699. DOI: 10.1186/s13148-016-0249-7
30 Luo Y ,  Lu X & Xie H .  Dynamic Alu methylation during normal development, aging, and tumorigenesis. Biomed Res Int. 2014 784706 2014. PMID: 25243180. DOI: 10.1155/2014/784706
31 Choi JY ,  James SR ,  Link PA ,  McCann SE ,  Hong CC ,  Davis W ,  Nesline MK ,  Ambrosone CB & Karpf AR .  Association between global DNA hypomethylation in leukocytes and risk of breast cancer. Carcinogenesis. 30(11) 1889 - 1897 2009. PMID: 19584139. DOI: 10.1093/carcin/bgp143
32 Guadagni F ,  Ferroni P ,  Carlini S ,  Mariotti S ,  Spila A ,  Aloe S ,  D’Alessandro R ,  Carone MD ,  Cicchetti A ,  Ricciotti A ,  Venturo I ,  Perri P ,  Di Filippo F ,  Cognetti F ,  Botti C & Roselli M .  A re-evaluation of carcinoembryonic antigen (CEA) as a serum marker for breast cancer: a prospective longitudinal study. Clin Cancer Res. 7(8) 2357 - 2362 2001. PMID: 11489813.
Pubmed |
33 van Dalum G ,  van der Stam GJ ,  Tibbe AG ,  Franken B ,  Mastboom WJ ,  Vermes I ,  de Groot MR & Terstappen LW .  Circulating tumor cells before and during follow-up after breast cancer surgery. Int J Oncol. 46(1) 407 - 413 2015. PMID: 25339612. DOI: 10.3892/ijo.2014.2694
34 Lange NE ,  Sordillo J ,  Tarantini L ,  Bollati V ,  Sparrow D ,  Vokonas P ,  Zanobetti A ,  Schwartz J ,  Baccarelli A ,  Litonjua AA & Demeo DL .  Alu and LINE-1 methylation and lung function in the normative ageing study. BMJ Open. 2(5) e001231 2012. PMID: 23075571. DOI: 10.1136/bmjopen-2012-001231
35 Jintaridth P & Mutirangura A .  Distinctive patterns of age-dependent hypomethylation in interspersed repetitive sequences. Physiol Genomics. 41(2) 194 - 200 2010. PMID: 20145203. DOI: 10.1152/physiolgenomics.00146.2009
36 Thongsroy J ,  Patchsung M & Mutirangura A .  The association between Alu hypomethylation and severity of type 2 diabetes mellitus. Clin Epigenetics. 9 93 2017. PMID: 28883893. DOI: 10.1186/s13148-017-0395-6
37 Jintaridth P ,  Tungtrongchitr R ,  Preutthipan S & Mutirangura A .  Hypomethylation of Alu elements in post-menopausal women with osteoporosis. PLoS One. 8(8) e70386 2013. PMID: 23990903. DOI: 10.1371/journal.pone.0070386
38 López-Otín C ,  Blasco MA ,  Partridge L ,  Serrano M & Kroemer G .  The hallmarks of aging. Cell. 153(6) 1194 - 1217 2013. PMID: 23746838. DOI: 10.1016/j.cell.2013.05.039
39 Yooyongsatit S ,  Ruchusatsawat K ,  Supiyaphun P ,  Noppakun N ,  Mutirangura A & Wongpiyabovorn J .  Alterations in the LINE-1 methylation pattern in patients with lichen simplex chronicus. Asian Pac J Allergy Immunol. 31(1) 51 - 57 2013. PMID: 23517394.
Pubmed |
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