Literature DB >> 27911867

Decreased 5-hydroxymethylcytosine levels correlate with cancer progression and poor survival: a systematic review and meta-analysis.

Zhaoli Chen1, Xuejiao Shi1, Lanwei Guo2, Yuan Li1, Mei Luo1, Jie He1.   

Abstract

Ten-eleven translocation (TET) enzymes catalyze the oxidation of 5-methylcytosine (5-mC) to 5-hydroxymethylcytosine (5-hmC) and then to 5-formylcytosine (5-fC) and 5-carboxylcytosine (5-caC), resulting in genomic DNA demethylation. Decreased 5-hmC levels have been reported in a variety of cancers, and loss of 5-hmC might be considered an epigenetic hallmark of cancer. However, the prognostic value of decreased 5-hmC in cancers remain controversial. Here, a systematic review was performed by conducting an electronic search of PubMed, EMBASE, Web of Science and the Cochrane Library. Finally, ten studies with a total of 1736 patients with cancer were included in the present study. Negative/low 5-hmC levels were significantly associated with lymph node metastasis [OR=2.20, 95% CI=1.23-3.96, P=0.008] and advanced TNM stage [OR=2.89, 95% CI=1.21-6.92, P=0.017]. More importantly, negative/low 5-hmC levels were significantly associated with poor prognosis of cancer patients [overall survival: HR=1.76, 95% CI=1.41-2.11, P < 0.001; disease free survival: HR=1.28, 95% CI=0.60-1.96, P < 0.001]. The results of this meta-analysis indicate that decreased 5-hmC levels are an indicator of poor survival of cancer patients. Given variability related to ethnicity, cancer types and detection methods, additional well-designed studies with larger sample sizes are required to further confirm our findings.

Entities:  

Keywords:  5-hydroxymethylcytosine; cancer staging; disease-free survival; meta-analysis; overall survival

Mesh:

Substances:

Year:  2017        PMID: 27911867      PMCID: PMC5352110          DOI: 10.18632/oncotarget.13719

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Cancer is characterized by genetic and epigenetic aberrations. DNA methylation, an important epigenetic mark that is dysregulated in many cancers, predominantly occurs on the C-5 atom of cytosine in the context of CpG islands in mammals (5-mC) and modulates gene activity by interacting with methyl-binding proteins [1]. TET enzymes, a family of Fe(II)- and α-ketoglutarate (α-KG)-dependent dioxygenases, convert 5-mC to 5-hmC, which can be further converted to 5-fC and 5-caC by the same enzymes [2-4]. The generation of 5-hmC induces the reversal of the gene silencing effect of 5-mC because 5-hmC is not recognized by transcriptional repressors such as methyl-CpG binding domain proteins (MBD) [5, 6]. Penn et al. first discovered 5-hmC in the 1970s, and 5-hmC has since been detected in a variety of tumor tissues [7-9]. 5-hmC levels are decreased in various malignancies, including glioblastoma, melanoma, breast, prostate, hepatic, gastric and renal cancers [10-16]. Lian et al. observed that the loss of 5-hmC is an epigenetic hallmark of melanoma and that decreased 5-hmC levels are associated with poorer melanoma outcome [10]. Liu et al. observed that 5-hmC levels are decreased in hepatic cancer and that low 5-hmC is an independent prognostic indicator of both overall survival and time to recurrence [14]. Several recent studies have demonstrated that low 5-hmC expression is associated with poor prognosis in renal cell carcinoma, gastric and ovarian cancers [13, 15, 17]. However, controversial results have been reported. Strand et al. reported that decreased 5-hmC in prostate cancer was associated with improved biological disease-free survival [12]. Hence, we performed a systematic review of the current evidence using a meta-analysis to analyze the association between 5-hmC levels and the clinicopathological characteristics in several types of cancers and to investigate the value of 5-hmC in the prognosis indication of cancer patients.

RESULTS

Study characteristics

We initially identified four hundred thirty-three potentially relevant studies, and after reviewing the titles and abstracts, fifty-eight articles consistent with our search criteria were chosen for further screening. After careful evaluation, forty-eight studies with insufficient data were excluded. Ultimately, ten studies were chosen for the final analysis (Figure 1). The articles included one hepatocellular carcinoma study, one glioblastoma study, one gastric cancer study, one esophageal squamous cell carcinoma study, one prostate cancer study, one ovarian cancer study, one intrahepatic cholangiocarcinoma study, one kidney cancer study, one breast cancer study and one cervical cancer study [11, 12, 14–21]. The characteristics of the included studies are listed in Table 1.
Figure 1

Flow diagram of the selection process

Table 1

The characteristics of the included studies

AuthorYearCountryCancer typePatients' numberDetection methodsCut-off for 5-hmC low expression
Orr2012AmericaGlioblastoma69IHCH-score in the first quartile
Yang2013ChinaGC108DNA dot blot< median value
Liu2014ChinaHCC318IHC< median value
Murata2015JapanESCC95ELISA< median value
Strand2015DenmarkPC311IHCScores 0 and 1 were considered as low expression
Zhang2015ChinaEOC130IHC− and + were considered as low expression
Dong2015ChinaICC123IHCNR
Chen2015ChinaKidney cancer185IHC≤10% cells are positive for IHC staining
Tsai2015ChinaBreast cancer257IHCThe score range from 0-7, the cutoff set at a value of 3
Zhang2016ChinaCSCC140IHC− and + were considered as low expression

Abbreviations: HCC, hepatocellular carcinoma; GC, gastric cancer; ESCC, esophageal squamous cell carcinoma; PC, prostate cancer; EOC, epithelial ovarian cancer; ICC, intrahepatic cholangiocarcinoma; CSCC, cervical squamous cell carcinoma; NR, not reported; IHC, immunohistochemistry; ELISA, enzyme-linked immunosorbent assay

Abbreviations: HCC, hepatocellular carcinoma; GC, gastric cancer; ESCC, esophageal squamous cell carcinoma; PC, prostate cancer; EOC, epithelial ovarian cancer; ICC, intrahepatic cholangiocarcinoma; CSCC, cervical squamous cell carcinoma; NR, not reported; IHC, immunohistochemistry; ELISA, enzyme-linked immunosorbent assay

Meta-analysis results

Data relating to lymph node metastasis, TNM stage, histology grade and survival were extracted and are presented in Tables 2 and 3.
Table 2

The clinicopathological characteristics of the cases with positive/high 5-hmC and cases with the negative/low 5-hmC in tumor tissues

StudyYearCases (positive/high 5-hmC)Cases (negative/low 5-hmC)
TotalN0N1I/IIIII/IVG1/2G3/4TotalN0N1I/IIIII/IVG1/2G3/4
Yang20135027233020252558154313452731
Liu2014159NRNRNRNR11544159NRNRNRNR12930
Murata201548/461434192743547/46163120263215
Zhang2015341816231130496296734626729
Dong201520191182911103742968355251
Zhang2016433211NRNR358975542NRNR5641
Table 3

The HR value and 95%CI of OS and DFS in each study

StudyYearOSDFSSurvival results
HR95%CIHR95%CI
Orr20122.281.16-4.49NANApoor
Yang20132.551.30-4.98NANApoor
Liu20143.162.12-4.74NANApoor
Chen20152.221.19-4.17NANApoor
Dong20151.451.08-1.931.361.02-1.81poor
Strand2015NANA0.620.44-0.87well
Tsai2015NANA1.901.20-3.02poor
Zhang20152.031.22-3.46NANApoor
Zhang20162.020.93-7.162.561.06-6.24poor
Five studies that collectively including 596 cases were used to evaluate the relationship between 5-hmC levels and lymph node metastasis. Meta-analysis using the random-effect model revealed that the negative/low expression rate of 5-hmC was higher in cancer patients with positive LN metastasis than in those with negative LN metastasis. The association of negative/low 5-hmC level and positive lymph node metastasis was statistically significant in different cancers [OR = 2.20, 95% CI = 1.23-3.96, P = 0.008] (Figure 2A).
Figure 2

Correlation of 5-hmC levels and cancer stages

A. Forest plots of the association between negative/low 5-hmC levels and lymph node metastasis (positive vs negative). B. Forest plots of the association between negative/low 5-hmC levels and TNM stage (III/IV stage vs I/II stage). C. Forest plots of the association between negative/low 5-hmC levels and histological differentiation grade (poor vs well/moderate). The squares and horizontal lines correspond to the study-specific OR and 95% CI, respectively. The area of the squares reflects the weight (inverse of the variance). The diamond represents the summary OR and 95% CI.

Correlation of 5-hmC levels and cancer stages

A. Forest plots of the association between negative/low 5-hmC levels and lymph node metastasis (positive vs negative). B. Forest plots of the association between negative/low 5-hmC levels and TNM stage (III/IV stage vs I/II stage). C. Forest plots of the association between negative/low 5-hmC levels and histological differentiation grade (poor vs well/moderate). The squares and horizontal lines correspond to the study-specific OR and 95% CI, respectively. The area of the squares reflects the weight (inverse of the variance). The diamond represents the summary OR and 95% CI. Four studies collectively including 453 cases were used to evaluate the relationship between the 5-hmC level and TNM stage of cancer. Meta-analysis using the random-effect model demonstrated that the negative/low expression rate of 5-hmC was higher in cancer patients with TNM III/IV stage than in those with I/II stage. The association of negative/low 5-hmC levels and advanced TNM stage was statistically significant in different cancers [OR = 2.89, 95% CI = 1.21-6.92, P = 0.017] (Figure 2B). Six studies collectively including 914 cases were used to evaluate the relationship between the 5-hmC level and histology grade of cancer. These six studies reported decreased 5-hmC in the poor differentiation group compared to the well-moderate differentiation group; however, meta-analysis using the random-effect model revealed no significant main effect [OR = 1.57, 95% CI = 0.79-3.13, P = 0.195] (Figure 2C). Seven studies reported overall survival (OS) of 1073 cancer patients, and four studies reported the disease-free survival (DFS) of 831 cancer patients according to 5-hmC level in tumor tissues. The fixed-effect model and random-effect model were used to calculate the pooled HR with corresponding 95% CI for OS and DFS, respectively. The meta-analysis results showed that negative/low 5-hmC levels were significantly associated with poor survival of patients with various cancers [OS: HR = 1.76, 95% CI = 1.41-2.11, P < 0.001; DFS: HR = 1.28, 95% CI = 0.60-1.96, P < 0.001] (Figure 3). These results suggest that negative/low 5-hmC levels might be an indicator of poor prognosis for cancer patients.
Figure 3

Prognostic value of negative/low 5-hmC levels in patients with cancer

A. Meta-analysis of the association between negative/low 5-hmC levels and overall survival in various cancers. B. Meta-analysis of the association between negative/low 5-hmC levels and disease-free survival in various cancers.

Prognostic value of negative/low 5-hmC levels in patients with cancer

A. Meta-analysis of the association between negative/low 5-hmC levels and overall survival in various cancers. B. Meta-analysis of the association between negative/low 5-hmC levels and disease-free survival in various cancers.

Tests of heterogeneity

The inter-study heterogeneity among the included studies were assessed using the Q test. Moderate to high heterogeneity was detected in the data on the association of negative/low 5-hmC with positive lymph node metastasis (P = 0.097, I = 49.0%), advanced TNM stage (P = 0.018, I = 70.2%), poor pathological differentiation (P = 0.001, I = 74.5%), and poor DFS (P < 0.001, I = 83.1%); thus, the random-effects models were used for these analyses. There was no obvious heterogeneity in the data on the association of 5-hmC with OS (P = 0.229, I = 26.2%); thus, the analysis was performed using a fixed-effects model. To explore the source of heterogeneity, stratified analyses by detection method were performed (Figure 4), which revealed that heterogeneity could be reduced in all analyses except histology grade.
Figure 4

Stratified analyses of the association between 5-hmC levels and lymph node metastasis A., TNM stage B., and histological differentiation grade C. were performed by detection methods

Publication bias

We assessed potential publication bias statistically using Begg's and Egger's tests (Figure 5). The funnel plots were symmetrical, and the results of the Begg's and Egger's tests revealed no publication bias (Begg's test, P > 0.05; Egger's test, P > 0.05).
Figure 5

The Begg's funnel plots and Egger's publication bias plots assessing the publication bias in analyses of the association of 5-hmC levels with lymph node metastasis A., TNM stage B., overall survival C., and disease-free survival D

DISCUSSION

DNA methylation is one of the most-studied epigenetic modifications and plays an important role in carcinogenesis [22]. DNA methylation occurs predominately on the C-5 atom of cytosine in the context of CpG islands in mammals (5-mC) and is associated with the alteration of chromatin organization and modulation of gene activity [23]. 5-mC can be converted to 5-hmC by TET family enzymes [3], and the generation of 5-hmC modulates 5-mC-dependent gene regulation. Thus, 5-hmC might be a potential diagnostic, prognostic and predictive marker for cancers [24-26]. Ha et al. observed that immuno-assessment of 5-hmC could diagnostically differentiate benign and malignant melanocytic neoplasms; 88% of nevi were positive for 5-hmC, whereas only 31% of melanomas were 5-hmC positive. Moreover, nodular, lentigo maligna and desmoplastic melanoma did not exhibit positive 5-hmC, whereas 47% of the remaining melanoma subtypes and metastases melanoma were 5-hmC positive [27]. Liu et al. reported that 5-hmC correlated with less aggressive tumor behavior in hepatic cancer, and low 5-hmC levels were associated with poor survival and could serve as a prognostic marker for HCC [14]. However, the relationship between 5-hmC levels and survival in other cancers is still not completely understood. Moreover, the clinical significance of 5-hmC in various cancers remains controversial. To our knowledge, the present study is the first to evaluate the correlation between 5-hmC levels and the prognosis of various cancers. Our meta-analysis provides evidence of a significant association between negative/low 5-hmC levels and lymph node metastasis and advanced TNM stage in different cancers. More importantly, negative/low 5-hmC levels were significantly associated with poorer OS and DFS of cancer patients, suggesting that 5-hmC might be a prognostic marker for cancers. Decreased 5-hmC levels in malignant tumors could be due to the mutation of TET genes or the mutations of isocitrate dehydrogenase 1 or 2 (IDH1/2), as mutation of IDH1/2 produces 2-hydroxyglutarate (2-HG) to inhibit the activity of TET proteins [28, 29]. Moreover, other studies have suggested that decreased 5-hmC levels might be caused by decreased TET1/2/3 expression [30, 31]. Decreased 5-hmC levels can be detected by various methods, including IHC, DNA dot blot, ELISA, and mass spectrometry. In our study, two papers included data from non-IHC detection that revealed high heterogeneity in the comparison of negative/low 5-hmC and lymph node metastasis and TNM stage. However, the high heterogeneity in the comparison of the association of negative/low 5-hmC levels with pathological differentiation grade was not significantly decreased by stratified analyses, suggesting that other factors, such as cancer type and varying cutoff values may be involved in the heterogeneity, which need to be further confirmed in future studies. Although this systematic review aimed to provide a comprehensive estimate of the clinical significance of altered 5-hmC levels in various types of cancer, several limitations remain. First, the numbers of studies and patients included in this analysis were relatively small. Second, most of the studies were based on Asian populations, and only two studies analyzed the data in Caucasian populations. Third, low levels and loss of 5-hmC expression were reported together, preventing the evaluation of the difference between the associations of low and loss of 5-hmC expression with clinical parameters of cancer. Additional studies are needed to confirm these results. In conclusion, our results indicate that advanced TNM stage and positive lymph node metastasis are more frequent in patients with negative/low levels of 5-hmC. Furthermore, we provide evidence for an association of negative/low 5-hmC with poor OS and DFS in various cancers. Therefore, decreased 5-hmC appears to be a valuable prognostic factor for cancers.

MATERIALS AND METHODS

Publication search strategy

A comprehensive literature search of PubMed, EMBASE, Web of Science and the Cochrane Library was performed up to March 2016. Search terms included “5-hydroxymethylcytosine OR 5-hmC OR 5hmC OR 5 hmC” combined with “neoplasm OR neoplasia OR tumor OR cancer.” Additional relevant references cited in the retrieved articles were also evaluated.

Selection criteria

To be eligible for inclusion in the systematic review, a study was required to meet the following criteria: (1) detected 5-hmC levels in tumor tissues from any type of solid tumor, rather than in serum, cell lines or any other type of specimen; (2) published in English with full text available; (3) compared the difference between at least two groups (for example, positive/high 5-hmC compared to negative/low 5-hmC); (4) hazard ratios for OS or DFS with 95% CIs were available. Based on these criteria, ten eligible studies were included in this meta-analysis.

Data collection

Publication characteristic details, such as the first author's name, publication year, patients' country, the number of patients, cancer type, detection methods, clinicopathological features, the cut-off definition of low 5-hmC and the HR for OS and/or DFS with corresponding 95% CIs were collected. When both univariate analysis and multivariate analysis were reported, the results of the multivariate analysis were used for analysis.

Statistical analysis

All statistical analyses were performed using the STATA 12.0 software package (Stata Corporation, College Station, TX, USA). The associations between 5-hmC levels and lymph node metastasis, TNM stage and histology grade were evaluated by calculating the ORs and corresponding 95% CIs. For survival data, the HRs with 95% CIs were extracted, and pooled HRs and corresponding 95% CIs were calculated. The Cochrane Q test (P < 0.10 indicated a high level of statistical heterogeneity) and I2 (values of 25%, 50% and 75% corresponding to low, moderate and high degrees of heterogeneity, respectively) were used to assess the heterogeneity among eligible studies [32]. When no statistically significant heterogeneity was observed, a pooled effect was calculated using a fixed-effects model; otherwise, a random-effects model was used. Publication bias was evaluated using Begg's and Egger's tests. All P values in the meta-analysis were two-sided, and a P value of less than 0.05 was considered significant.
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1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Tet-mediated formation of 5-carboxylcytosine and its excision by TDG in mammalian DNA.

Authors:  Yu-Fei He; Bin-Zhong Li; Zheng Li; Peng Liu; Yang Wang; Qingyu Tang; Jianping Ding; Yingying Jia; Zhangcheng Chen; Lin Li; Yan Sun; Xiuxue Li; Qing Dai; Chun-Xiao Song; Kangling Zhang; Chuan He; Guo-Liang Xu
Journal:  Science       Date:  2011-08-04       Impact factor: 47.728

3.  Prognostic values of 5-hmC, 5-mC and TET2 in epithelial ovarian cancer.

Authors:  Li-Ying Zhang; Pei-Ling Li; Tian-Zhen Wang; Xin-Chen Zhang
Journal:  Arch Gynecol Obstet       Date:  2015-04-01       Impact factor: 2.344

4.  Loss of 5-hydroxymethylcytosine is linked to gene body hypermethylation in kidney cancer.

Authors:  Ke Chen; Jing Zhang; Zhongqiang Guo; Qin Ma; Zhengzheng Xu; Yuanyuan Zhou; Ziying Xu; Zhongwu Li; Yiqiang Liu; Xiongjun Ye; Xuesong Li; Bifeng Yuan; Yuwen Ke; Chuan He; Liqun Zhou; Jiang Liu; Weimin Ci
Journal:  Cell Res       Date:  2015-12-18       Impact factor: 25.617

5.  Mutation in TET2 in myeloid cancers.

Authors:  François Delhommeau; Sabrina Dupont; Véronique Della Valle; Chloé James; Severine Trannoy; Aline Massé; Olivier Kosmider; Jean-Pierre Le Couedic; Fabienne Robert; Antonio Alberdi; Yann Lécluse; Isabelle Plo; François J Dreyfus; Christophe Marzac; Nicole Casadevall; Catherine Lacombe; Serge P Romana; Philippe Dessen; Jean Soulier; Franck Viguié; Michaela Fontenay; William Vainchenker; Olivier A Bernard
Journal:  N Engl J Med       Date:  2009-05-28       Impact factor: 91.245

Review 6.  Tet family proteins and 5-hydroxymethylcytosine in development and disease.

Authors:  Li Tan; Yujiang Geno Shi
Journal:  Development       Date:  2012-06       Impact factor: 6.868

7.  Decreased 5-hydroxymethylcytosine is associated with neural progenitor phenotype in normal brain and shorter survival in malignant glioma.

Authors:  Brent A Orr; Michael C Haffner; William G Nelson; Srinivasan Yegnasubramanian; Charles G Eberhart
Journal:  PLoS One       Date:  2012-07-19       Impact factor: 3.240

8.  High levels of 5-hydroxymethylcytosine (5hmC) is an adverse predictor of biochemical recurrence after prostatectomy in ERG-negative prostate cancer.

Authors:  Siri H Strand; Soren Hoyer; Anne-Sofie Lynnerup; Christa Haldrup; Tine Maj Storebjerg; Michael Borre; Torben F Orntoft; Karina D Sorensen
Journal:  Clin Epigenetics       Date:  2015-10-15       Impact factor: 6.551

Review 9.  5-hydroxymethylcytosine profiling as an indicator of cellular state.

Authors:  Alexander Laird; John P Thomson; David J Harrison; Richard R Meehan
Journal:  Epigenomics       Date:  2013-12       Impact factor: 4.778

10.  Decrease of 5-hydroxymethylcytosine is associated with progression of hepatocellular carcinoma through downregulation of TET1.

Authors:  Chungang Liu; Limei Liu; Xuejiao Chen; Junjie Shen; Juanjuan Shan; Yanmin Xu; Zhi Yang; Lin Wu; Feng Xia; Ping Bie; Youhong Cui; Xiu-wu Bian; Cheng Qian
Journal:  PLoS One       Date:  2013-05-09       Impact factor: 3.240

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Review 1.  The TET enzymes.

Authors:  Peppi Koivunen; Tuomas Laukka
Journal:  Cell Mol Life Sci       Date:  2017-11-28       Impact factor: 9.261

2.  TET2 controls chemoresistant slow-cycling cancer cell survival and tumor recurrence.

Authors:  Isabel Puig; Stephan P Tenbaum; Irene Chicote; Oriol Arqués; Jordi Martínez-Quintanilla; Estefania Cuesta-Borrás; Lorena Ramírez; Pilar Gonzalo; Atenea Soto; Susana Aguilar; Cristina Eguizabal; Ginevra Caratù; Aleix Prat; Guillem Argilés; Stefania Landolfi; Oriol Casanovas; Violeta Serra; Alberto Villanueva; Alicia G Arroyo; Luigi Terracciano; Paolo Nuciforo; Joan Seoane; Juan A Recio; Ana Vivancos; Rodrigo Dienstmann; Josep Tabernero; Héctor G Palmer
Journal:  J Clin Invest       Date:  2018-08-06       Impact factor: 14.808

Review 3.  Ten-eleven translocase: key regulator of the methylation landscape in cancer.

Authors:  Jyoti Shekhawat; Kavya Gauba; Shruti Gupta; Bikram Choudhury; Purvi Purohit; Praveen Sharma; Mithu Banerjee
Journal:  J Cancer Res Clin Oncol       Date:  2021-04-28       Impact factor: 4.553

4.  TRIB2 regulates the differentiation of MLL-TET1 transduced myeloid progenitor cells.

Authors:  Hyeng-Soo Kim; Seung Hwan Oh; Ju-Heon Kim; Wern-Joo Sohn; Jae-Young Kim; Do-Hyung Kim; Sang-Un Choi; Kwon Moo Park; Zae Young Ryoo; Tae Sung Park; Sanggyu Lee
Journal:  J Mol Med (Berl)       Date:  2018-10-15       Impact factor: 4.599

5.  Reduced hydroxymethylation characterizes medulloblastoma while TET and IDH genes are differentially expressed within molecular subgroups.

Authors:  Karina Bezerra Salomão; Gustavo Alencastro Veiga Cruzeiro; Ricardo Bonfim-Silva; Lenisa Geron; Fernando Ramalho; Fabiano Pinto Saggioro; Luciano Neder Serafini; Daniel Antunes Moreno; Rosane Gomes de Paula Queiroz; Simone Dos Santos Aguiar; Izilda Cardinalli; José Andres Yunes; Silvia Regina Brandalise; Maria Sol Brassesco; Carlos Alberto Scrideli; Luiz Gonzaga Tone
Journal:  J Neurooncol       Date:  2018-03-26       Impact factor: 4.130

6.  Solid-state nanopore analysis of human genomic DNA shows unaltered global 5-hydroxymethylcytosine content associated with early-stage breast cancer.

Authors:  Osama K Zahid; Felipe Rivas; Fanny Wang; Komal Sethi; Katherine Reiss; Samuel Bearden; Adam R Hall
Journal:  Nanomedicine       Date:  2021-04-24       Impact factor: 6.096

7.  Invariant phenotype and molecular association of biallelic TET2 mutant myeloid neoplasia.

Authors:  Hassan Awada; Yasunobu Nagata; Abhinav Goyal; Mohammad F Asad; Bhumika Patel; Cassandra M Hirsch; Teodora Kuzmanovic; Yihong Guan; Bartlomiej P Przychodzen; Mai Aly; Vera Adema; Wenyi Shen; Louis Williams; Aziz Nazha; Mohamed E Abazeed; Mikkael A Sekeres; Tomas Radivoyevitch; Torsten Haferlach; Babal K Jha; Valeria Visconte; Jaroslaw P Maciejewski
Journal:  Blood Adv       Date:  2019-02-12

8.  DNA methylation profile in patients with indolent systemic mastocytosis.

Authors:  Aleksandra Górska; Ewa Jabłońska; Edyta Reszka; Marek Niedoszytko; Magdalena Lange; Marta Gruchała-Niedoszytko; Justyna Jarczak; Dominik Strapagiel; Magdalena Górska-Ponikowska; Paulina Bastian; Iwona Pelikant-Małecka; Leszek Kalinowski; Bogusław Nedoszytko
Journal:  Clin Transl Allergy       Date:  2021-11-02       Impact factor: 5.871

Review 9.  Epigenetic Regulation in Uterine Fibroids-The Role of Ten-Eleven Translocation Enzymes and Their Potential Therapeutic Application.

Authors:  Marta Włodarczyk; Grażyna Nowicka; Michał Ciebiera; Mohamed Ali; Qiwei Yang; Ayman Al-Hendy
Journal:  Int J Mol Sci       Date:  2022-02-28       Impact factor: 5.923

Review 10.  A Lexicon of DNA Modifications: Their Roles in Embryo Development and the Germline.

Authors:  Qifan Zhu; Reinhard Stöger; Ramiro Alberio
Journal:  Front Cell Dev Biol       Date:  2018-03-27
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