Abstract
HOX genes are commonly known for their role in embryonic development, defining the positional identity of most structures along the anterior–posterior axis. In postembryonic life, HOX gene aberrant expression can affect several processes involved in tumorigenesis such as proliferation, apoptosis, migration and invasion. Epigenetic modifications are implicated in gene expression deregulation, and it is accepted that methylation events affecting HOX gene expression play crucial roles in tumorigenesis. In fact, specific methylation profiles in the HOX gene sequence or in HOX-associated histones are recognized as potential biomarkers in several cancers, helping in the prediction of disease outcomes and adding information for decisions regarding the patient’s treatment. The methylation of some HOX genes can be associated with chemotherapy resistance, and its identification may suggest the use of other treatment options. The use of epigenetic drugs affecting generalized or specific DNA methylation profiles, an approach that now deserves much attention, seems likely to be a promising weapon in cancer therapy in the near future. In this review, we summarize these topics, focusing particularly on how the regulation of epigenetic processes may be used in cancer therapy.
Keywords: HOX genes, DNA methylation, histone methylation, epigenetics, cancer
1. Introduction
The development of cancer is tightly linked to an accumulation of changes in the structure and function of the genome that result in transcriptional regulation errors and altered gene expression [1]. In addition, these genomic alterations can lead to epigenetic modifications, which modify DNA accessibility and further change the chromatin structure, thereby contributing to aberrant gene expression. In the first stage of cancer research, great attention was paid to the description of mutations in oncogenes and tumor suppressor genes, and also to the functional characterization of genes and proteins. However, more recently, epigenetic modifications have emerged as a crucial mechanism for cancer onset, progression and metastasization [2,3]. These modifications are reversible and do not affect the DNA sequence, but are vital for genomic structure maintenance and gene expression control, being heritable through successive cell divisions [4].
Four main epigenetic events have been linked to gene expression alterations: DNA methylation, posttranslational modifications of histones, chromatin remodeling and RNA-based mechanisms [5]. DNA methylation is promoted by DNA methyltransferases (DNMTs 1, 2, 3 and their variants), which add methyl groups (CH3) to the cytosine residues at Carbon 5, yielding 5′ methyl-cytosines. Briefly, DNMT1 is involved in methylation maintenance after DNA replication, DNMT2 is a tRNA methyltransferase and DNMT3 relates to de novo DNA methylation [6]. In vertebrate genomes, the addition of methyl groups mostly occurs on cytosine residues that precede guanine, known as CpG dinucleotides. These CpG sites can be clustered in specific regions of the genome, as short interspersed DNA sequences, known as CpG islands, with an average of 1000 base pairs (bps). Gene promoter regions frequently have CpG islands in which gene expression regulation can occur by methylation. [7].
DNA methylation, leading to gene promoter hypermethylation and consequent transcriptional inhibition, has been observed in a wide variety of cancers with impact on their progression and aggressiveness (Figure 1) [8]. The genetic silencing mediated by DNA methylation occurs in combination with other epigenetic events, such as histone modifications and chromatin remodeling that gives rise to tight chromatin structures, hampering transcriptional activity [2].
Histone modifications also affect the assembly and restructuration of the nucleosome [9,10]. This fundamental repeat unit of the chromatin corresponds to an octamer of four core histone proteins (H2A, H2B, H3 and H4) wrapped twice around the DNA molecule (Figure 2) [11]. The histones may acquire modifications, namely by the acetylation and methylation of lysines (K) and arginines (R), as well as by the phosphorylation of serines (S) and threonines (T) [9]. Other modification may include ubiquitylation, via an isopeptide bond to lysine residues (K), and sumoylation, involving the addition of SUMOs (small ubiquitin-like modifiers). A wide variety of enzymes participate in these processes such as acetyltransferases, deacetylases, methyltransferases, demethylases and kinases. All these enzymes work in concert with ATP-dependent chromatin-remodeling complexes that recognize specific histone modifications, affecting the disassembly and assembly of nucleosomes and the movement of histone octamers along the DNA [10].
Regarding the methylation pattern of histones, some methylations are features of active chromatin, such as the trimethylation of lysine 4 or 36 on histone H3 (H3K4me3 and H3K36me3), together with the hyperacetylation of histones H3 and H4 (H3ac, H4ac), while others are features of a silencing chromatin state, such as the trimethylation of lysines 9 and 27 on histone H3 (H3K9me3 and H3K27me3), together with the hypoacetylation of this histone [11]. The H3K27me3 is promoted by a complex of proteins, i.e., the PRC2 complex (polycomb repressive complex 2) [12], which plays a particular role in HOX gene expression regulation, as will be described later.
Other epigenetic events interfering with gene expression involve the interaction of noncoding RNAs with the chromatin, forming complexes able to regulate transcription, designated as RNA-based mechanisms [5]. These RNAs can be antisense mRNAs that binds to the sense transcripts impairing their translation to protein. They can also be microRNAs that act as posttranscriptional regulators inducing mRNA degradation and/or translational repression [13].
In summary, epigenetic mechanisms affect gene expression by interfering with its regulation pre- or post- transcriptionally. In addition, they can affect the disassembly/assembly of nucleosomes and their movement/interaction with DNA. Chromatin remodeling may increase the accessibility of DNA, facilitating interaction among transcription factors or, in contrast, promoting the packing of chromatin into tightly folded structures, thereby hampering interactions [14]. Therefore, non-methylated CpG island promoters present looser chromatin, whereas methylated promoters have a more packed chromatin [2].
HOX gene transcriptional regulation involves not only cis and trans regulatory elements, but also several epigenetic mechanisms (Figure 3). For some HOX genes, and considering particular contexts such as embryonic development or cancer, epigenetic variations and their downstream effects are still under investigation. The human genome contains 39 genes organized into four clusters (HOXA, HOXB, HOXC and HOXD) located within distinct chromosomes (7p15, 17q21.2, 12q13, 2q31, respectively), encoding transcription factors and noncoding RNAs that are crucial for embryonic development, cellular physiology and tissue homeostasis (Figure 3) [15,16].
A large number of studies, including genome-wide association approaches, have highlighted connections between HOX gene expression and cancer, either being downregulated or upregulated in comparison with its normal counterparts, where they may act as tumor suppressors or proto-oncogenes in a tissue-specific context [17]. These alterations in HOX gene expression could be the result of epigenetic processes that affect chromatin accessibility, or genetic processes that affect the HOX gene DNA sequence, cofactor assembly and upstream regulators. Changes in the expression profile of these genes and functional abnormalities in the encoded transcription factors have been shown to affect several cellular processes, such as angiogenesis, autophagy, proliferation, apoptosis, migration and metabolism [15,17,18]. HOX gene mutations have been investigated in the past decade and found to increase cancer susceptibility, beyond being related to limb malformations, among other physiologic disorders [19,20].
Interestingly, DNA methylation appears to be an important mechanism for HOX gene regulation, with a particular impact on cancer progression. Therefore, the methylation status of a wide range of HOX genes is assuming increasing importance as a potential cancer prognostic marker [17]. In this review, we describe the state of knowledge of HOX gene methylation in cancer, clearly illustrating the remarkable potential of these epigenetic events for cancer prognostic marker discovery. We also report the histone methylation processes shown to have an impact on HOX gene transcription associated with cancer, and we discuss the therapies targeting methylation in HOX-associated cancers.
2. HOX Genes Methylation in Cancer
Cancer is recognized as being not only genetically but also epigenetically distinct from its tissue of origin [21]. However, while the genetic alterations underlying oncogene upregulation have been heavily studied, the epigenetic mechanisms that can also induce oncogene expression remain largely unknown [21]. The methylation of gene promoters is one of the epigenetic mechanisms most frequently identified during the progression of human cancers. However, this mechanism of HOX gene regulation is not exclusively related to cancer development. Differential HOX gene methylation was also identified in neurofibroma, commonly a benign disease [22], and in endometrium with lower receptivity for embryo implantation [23].
The methylation profile of most HOX genes has been investigated in a variety of cancer types, and is considered a valuable biomarker for their diagnosis and prognosis (Table 1) [22,24,25,26,27]. The HOX gene hypermethylation is often linked to the silencing of HOX gene targets working as tumor-suppressor and/or apoptotic genes (Figure 1) [3,28]. Interestingly, a recent study of DNA methylation profiles across the genome in normal and tumor tissues suggests an unexpected causal role of gene hypermethylation for HOX oncogene activation [21]. Moreover, situations occur in which HOX genes are found to be hypomethylated during tumorigenesis; this is the case of HOXC10 in gastric cancer [29,30]. In this case, hypomethylation leads to HOXC10 overexpression, the downstream effects of which include increased of proliferation and the migration of cancer cells.
Table 1.
Cancer Site | HOX Genes | Possible Roles | References |
---|---|---|---|
Bile duct | HOXA1, HOXA2, HOXA5, HOXA11, HOXB4, HOXD9, HOXD13 | Biomarkers for the detection of cholangiocarcinoma in tissues or serum cell-free. | [31,32,33] |
Bladder | HOXA9 | Biomarker for the detection of bladder cancer and prediction response to cisplatin-based chemotherapy and survival. | [34,35] |
HOXB2 | Biomarker to predict high-grade, noninvasive disease. | [36] | |
Blood (Leukemias/ Lymphomas) | HOXA4 | Biomarker to predict resistance to imatinib mesylate. | [37] |
HOXA4, HOXA5 | Biomarkers to predict progression to blast crisis. | [38] | |
HOXD8 | Targeted for therapeutic benefit in MCL (Mantle cell lymphoma). | [39] | |
Breast | HOXA1 | Biomarker to distinguish different breast cancer states subgroups. | [24,40] |
HOXA4 | Biomarker for early breast cancer detection. | [41] | |
HOXA5 | Biomarker specific to high-grade ductal carcinoma in situ detection and Triple-Negative breast cancer nonresponders to neoadjuvant chemotherapy. | [42,43] | |
HOXA9, HOXA10 | Biomarkers to predict survival. | [44] | |
HOXA10, HOXB13 | Biomarker to distinguish different breast cancer states subgroups with high expression of estrogen and progesterone receptors. | [24,40] | |
HOXA11 | Biomarker for unfavorable prognosis in breast cancer. | [45] | |
HOXB4 | Biomarker for metastatic breast cancer detected in circulating tumor cells. | [46] | |
HOXB13 | Biomarkers for the detection of breast cancer. | [47] | |
HOXC8 | Epigenetic downregulation interferes with stem cell transformation. | [48] | |
HOXC9 | Detected in breast cancer. | [49] | |
HOXC10 | Detected in endocrine-resistant breast cancer and associated with recurrence during aromatase inhibitor treatment. | [50] | |
HOXD1 | Biomarkers for the detection and prognosis of breast cancer. | [51] | |
HOXD11 | Detected in breast cancer. | [52] | |
HOXD13 | Biomarker for poor survival prognostic. | [53] | |
Cervix | HOXA9 | Epigenetic downregulation relates to cell proliferation, migration and expression of epithelial-to-mesenchymal transition genes. | [54] |
Colorectal | HOXA2 | Epigenetic downregulation relates to lymphovascular invasion, perineural invasion, lymph node number. | [38] |
HOXA5, HOXA6 | Epigenetic downregulation favors tumor progression. | [55] | |
HOXD3 | Identified in colorectal cancers. | [56] | |
HOXD10 | Epigenetic downregulation favors proliferation, migration, invasion and apoptosis. | [57] | |
Endometrial | HOXA9, HOXD10 | Biomarker for detection of early onset of endometrial cancer. | [58] |
Kidney | HOXA5 | Epigenetic downregulation associated with high-grade clear cell renal cell carcinoma. | [59] |
HOXA11 | Epigenetic downregulation associated with proliferation, colony formation, migration and invasion abilities in renal cell carcinoma. | [60] | |
HOXB13 | Epigenetic downregulation associated with reduced apoptosis and increased tumor grade and microvessel invasion in renal cell carcinoma. | [61] | |
Head and neck | HOXA5 | Epigenetic downregulation favors invasion in nasopharyngeal cancer. | [62] |
HOXB2 | Biomarker for lymph node metastasis in esophageal squamous cell carcinoma. | [63] | |
HOXA9 | Epigenetic downregulation associated with tumor progression and metastasization in head and neck squamous cell carcinoma and biomarker to distinguish oral cancer patients at low risk of neck metastasis. | [64,65] | |
HOXB4, HOXC4 | Biomarkers to predict survival of oral squamous cell carcinoma. | [66] | |
Liver | HOXD10 | Epigenetic downregulation activates ERK signaling in hepatocellular carcinoma and causes vessel cancerous embolus and tumor cell differentiation. | [67] |
HOXB4 | Epigenetic downregulation disruption of miR-10ª regulation hepatocellular carcinoma. | [68] | |
Lung | HOXA1, HOXA11 | Biomarker involved in a molecular signature that helps to distinguish between atypical adenomatous hyperplasia, adenocarcinoma in situ and lung adenocarcinoma | [69] |
HOXA2 | Biomarker involved in a molecular signature that helps to stratify lung squamous cell carcinoma into molecular subtypes with distinct prognoses. | [70] | |
HOXA2, HOXA10 | Biomarkers relevant for the prognosis of nonsmall cell lung cancer patients. | [71] | |
HOXA3 | Epigenetic downregulation in lung adenocarcinoma is associated with progression and poor prognosis. | [72] | |
HOXA5 | Epigenetic downregulation favors tumor-node-metastasis, tumor size, and lymph node metastasis in nonsmall cell lung cancer. It also favors invasion in lung adenocarcinomas. | [73,74] | |
HOXA5, HOXA10, HOXA4, HOXA7, HOXD13 | Identified in lung cancer. | [75] | |
HOXA7, HOXA9 | Epigenetic downregulation is associated with recurrence in nonsmall cell lung cancer. This alteration is part of a molecular signature relevant for detection and prognostic of primary nonsmall cell lung cancer using serum DNA. | [76,77] | |
HOXA11 | Epigenetic downregulation is associated with progression of nonsmall cell lung cancer. This alteration is part of a molecular signature involved in cell proliferation and migration in lung adenocarcinoma. | [78,79] | |
HOXB3, HOXB4 | Biomarkers in lung adenocarcinomas correlated with smoking history and chronic obstructive pulmonary disease. | [80] | |
HOXD3 | Biomarker for lung cancer. | [56] | |
HOXD8 | Epigenetic downregulation correlated with clinicopathological characteristics, cell migration and metastasization | [81] | |
HOXD10 | Biomarker to distinguish lung cancer, pulmonary fibrosis and chronic obstructive lung disease. | [82] | |
HOXD13 | Biomarker for lung adenocarcinoma. | [83] | |
Nervous System | HOXA3, HOXA7, HOXA9, HOXA10 | Biomarkers to distinguish different glioma subgroups. | [84] |
HOXA10 | Part of a stem cell related HOX-signature in glioblastoma. | [85] | |
HOXA11 | Epigenetic downregulation associated with treatment resistance and poor prognosis in glioblastoma. | [86] | |
HOXC4, HOXD8, HOXD13 | Biomarkers that distinguish long- and short-term glioblastoma survivors. | [87] | |
Ovaries | HOXA9, HOXD11 | Epigenetic downregulation involved in DNA repair inactivation, cell cycle, apoptosis, cell adherence in ovarian cancer | [88] |
HOXA9, HOXB5 | Identified in ovarian cancer and correlated with clinicopathological characteristics. | [89] | |
HOXA10, HOXA11 | Prognostic biomarker in ovarian cancer. | [90] | |
Prostate | HOXA9 | Part of a molecular signature for prostate cancer clinical staging based on urine collection. | [91] |
HOXD3 | Identified in prostate cancer and related to the development of high-grade tumors and recurrence | [92,93] | |
HOXD8 | Urine-based methylation biomarkers to predict prostate cancer progression. | [94] | |
Stomach | HOXA1, HOXA10, HOXD10 | Biomarker for the diagnosis of gastric cancer. | [95] |
HOXA10 | Interferes with miR-196b-5p-dependent proliferation and invasion of gastric cancer cells. | [30] | |
HOXA11 | Identified in gastric cancer and proposed to affect cell proliferation. | [96] | |
HOXB13 | Biomarker for gastric cancer involved in invasion depth, lymph node metastasis and tumor-node-metastasis stage. | [97] | |
HOXD1 | Biomarkers for predicting lymph node metastasis of stomach cancer. | [98] | |
HOXD10 | Epigenetic downregulation associated with gastric carcinogenesis. | [99] | |
Testis | HOXA9 | Biomarker for testicular germ cell tumor subtyping. | [100] |
Thyroid | HOXA1 | Biomarker for the diagnosis of thyroid nodules. | [101] |
HOXA7 | Biomarker for papillary thyroid cancer. | [102] | |
HOXB4 | Part of a molecular signature identifying biologically distinct thyroid cancer subtypes. | [103] | |
HOXD10 | Identified in papillary thyroid cancer with BRAFV600E mutation and associated with primary tumor invasion and age > 45. | [104] |
2.1. HOXA Genes Methylated in Cancer
Genes from the HOXA cluster have a tendency for hypermethylation, and consequent downregulation, in most cancer types studied. It has been proposed that the methylation state of HOXA1, in combination with other genes, is a useful marker in the detection of malignant biliary obstruction, increasing the sensitivity of diagnoses by cytology [31] and in the diagnosis of thyroid nodules [101]. In addition, the HOXA1 methylation profile was also considered important in the identification of specific states of cancer progression in lung and breast carcinomas [40,69], also in combination with the hypermethylation of other HOX genes such as HOXA10 and HOXB13 [24]. In gastric cancer, the aberrant HOXA1 methylation profile is associated with clinicopathological characteristics and clinical outcomes [95].
Similarly, HOXA2 was found to exhibit distinct methylation profiles in at least four cancer sites: lung, colon/rectum, nasopharynx and bile duct [32,55,62,70,71]. In lung squamous cell carcinoma (SCC), HOXA2 was included in a panel of hypermethylated genes that might be useful to stratify SCC into molecular subtypes with distinct prognoses [70]. It has been suggested that the HOXA2 methylation status, together with the methylation profile of other HOXA genes, may have prognostic value in laryngeal squamous cell carcinoma [105]. In addition, HOXA2 methylation analyses may work as a differential epigenetic biomarker between malignant and nonmalignant biliary and nasopharyngeal tissues [32,62]. In colorectal cancer, the study of the promoter methylation patterns of HOXA2, A5 and A6 were considered important in assessments of risk for this malignancy [55].
For HOXA3, differential methylation profiles were found in glioma, lung and penile carcinomas, leading to its consideration as part of the methylome signature associated with these diseases [72,80,84,106]. In gliomas, HOXA3, A7, A9, and A10 are methylation targets mainly in high-grade tumors, and their role as potential biomarkers has been proposed to clinically distinguish among patient subgroups [84]. In breast cancer, the increased DNA methylation of HOXA4 was proposed as a biomarker for early disease detection [41], and HOXA5 hypermethylation was identified specifically as part of the molecular portrait associated with high-grade ductal carcinoma in situ [42] and Triple-negative breast cancer patients nonresponsive to neoadjuvant chemotherapy [43]. In addition, the hypermethylation of HOXA5, together with five other genes (ABCA3, COX7A1, SLIT3, SOX17, SPARCL1), has been linked to lung adenocarcinoma development [107], while HOXA4 and HOXA5 present altered methylation profiles in a significant number of patients with acute myeloid leukemia [108].
The potential of HOX gene methylation profiles was also explored for the early detection of lung cancer in plasma and sputum, as HOXA7 and HOXA9 hypermethylation are part of the signature associated with this disease [109]. The aberrant methylation of HOXA9 is characteristic of a wide variety of cancers, and is used as a biomarker for diagnoses and prognoses in distinct sample types. In serum, for example, the hypermethylation of HOXA9 was recently proposed as a marker to detect early epithelial ovarian cancer [27]. Moreover, the methylation profile of this gene was considered, in combination with other genes, to be potentially applicable for prostate cancer clinical staging based on urine collection [91]. The methylation profile of HOXA9 has also been proposed as a reliable biomarker to identify resistance to cisplatin-based therapy in bladder cancer [34], and as a tool for testicular germ cell tumors subtyping [100]. In addition, the methylation status of HOXA9 was considered relevant for subtyping lung cancer using liquid biopsies [110] or for its early detection in circulating cell-free DNA [58]. HOXA9 hypermethylation was also found to be a tool to identify advanced neck squamous cell carcinomas favoring tumor progression and metastasis [57], predict survival in breast cancer patients, together with HOXA10 hypermethylation [111], and detect early onset of endometrial cancer [58].
Knowledge of the downstream processes affected by HOXA gene deregulation, due to alterations in their methylation profile, is still incomplete for most cancers. However, for HOXA10, for example, promoter hypermethylation favors miR-196b-5p–dependent cell proliferation and invasion in gastric cancer cells [30]. In addition, in lung adenocarcinoma, HOXA11 hypermethylation seems to be related to cisplatin-resistance and to Akt/β-catenin signaling activation, which occurs without interfering with the methylation status of HOXA11 antisense (HOXA11AS) [112].
2.2. HOXB and HOXC Genes Methylated in Cancer
Genes from the HOXB cluster (HOXB2, B3, B4, B9, B13) have been found to be hypermethylated in a variety of tumors. The hypermethylation of HOXB2 was considered part of a signature exclusively found in the lymph node metastasis of the esophageal squamous cell carcinoma, serving as a possible biomarker for early diagnoses and prognoses [63]. In addition, it is also one of the methylated genes associated with bladder cancer aggressiveness [36]. HOXB3 and HOXB4 hypermethylation were identified as potential biomarkers in lung adenocarcinoma diagnosis [80]. In addition, data from nearly 63,000 women of European ancestry suggest that HOXB3 hypermethylation is among the epigenetic modifications associated with epithelial ovarian cancer risk [113], and that HOXB4 is part of a multigene methylation signature found in circulating tumor cells from patients with metastatic breast cancer [46]. Among HOXB genes, HOXB13 is frequently identified as being hypermethylated in tumors. Its promoter methylation is a candidate biomarker for gastric [64] and endometrial tumors with enhanced invasiveness [114]. The hypermethylation of HOXB13 also occurs in nearly 30% of renal cell carcinomas, as the silencing of this gene is associated with apoptosis ratio decrease, tumor grade increase and microvessels invasion [61].
Most genes from the HOXC cluster have been identified as hypermethylated in cancer (HOXC4, C5, C6, C8, C9) [48,115,116,117]. Methylated regions in a gene collection that includes HOXC4 were considered important in estimating cancer risk in urothelium [117] and as part of a prognostic signature predicting survival in patients with oral squamous cell carcinoma [66]. The role of HOXC8 in breast cancer, in which silencing seems to interfere with the self-renewal, differentiation and transformation of breast cancer stem cells, is also instigated by promoter hypermethylation [48]. However, there are also HOXC genes that are hypomethylated in cancer; this is the case of HOXC10 in gastric cancer, which is associated with cell proliferation and migration [29].
2.3. HOXD Genes Methylated in Cancer
HOXD genes are also regularly found to be hypermethylated in a wide variety of cancers, and have been widely proposed as valuable biomarkers for the prognosis and diagnosis of this disease. HOXD1 hypermethylation is part of a signature helping to predict lymph node metastasis in gastric cancer [29]. Similarly, HOXD3 hypermethylation is part of a panel that includes HOXD8 methylation [94], which makes it possible to test the clinical significance of prostate cancer using urine samples [29], and is also considered to be among the prognostic indicators of late recurrence or of the need for hormone therapy after surgery in prostate cancer biopsies [118]. Interestingly, the hypermethylation of HOXD3 is a feature of the most common male cancers worldwide (lung, prostate and colorectal cancers) [56], but also a prognostic marker in renal cell [56] and hepatocellular carcinomas [119]. Moreover, HOXD9 hypermethylation is a common epigenetic alteration in thymic carcinoma [17] and one of the biomarkers that may help to differentiate cholangiocarcinoma from other biliary diseases using serum cell-free DNA analysis [33].
The DNA methylation level of HOXD10 is part of a profile that is significantly correlated with a higher aggressiveness of early-onset endometrial cancer [58]. In addition, it is a recognizable marker in papillary thyroid cancer patients, particularly among BRAFV600E mutation carriers [104]. It has also been suggested that HOXD10 hypermethylation detection in the plasma, in combination with other genes, may be a useful biomarker for the early detection of gastric cancer and pre-cancerous lesions [58], and to distinguish lung cancer, pulmonary fibrosis and chronic obstructive lung disease [82]. The downstream impact of these epigenetic aberrations is still not fully characterized. However, epigenetic inactivation of HOXD10 has been associated with colon cancer, inhibiting RHOC/AKT/MAPK signaling [57], and with hepatocellular carcinoma, activating ERK signaling [67]. HOXD13 hypermethylation has been particularly associated with breast cancer, as part of an epigenetic signature detectable in the serum and used for clinical diagnoses [120], and in lung adenocarcinoma, in which it is considered a potential prognostic biomarker [83].
3. Histone Methylation with Impact on HOX Gene Transcription in Cancer
As mentioned, HOX genes do not only play a role in cancer when downregulated or silenced. In particular contexts, their upregulation is tightly linked with cancer progression [15]. This can easily occur by an alteration of the methylation pattern of their associated histones. As previously mentioned, the PRC2 protein complex plays a particular role in HOX gene regulation. Due to its histone methyltransferase activity, it is able to methylate histone H3 on lysine 27 (H3K27me3) that interferes with HOX gene expression, with an impact on cancer predisposition and progression (Figure 4) [121]. Interestingly, some HOX transcripts have the unusual ability to control the expression of other HOX genes by recruiting the PRC2 complex. As an example, the transcription of the antisense strand located between HOXC11 and HOXC12 on human chromosome 12 gives rise to long noncoding RNAs, named HOTAIRs, which trigger the silencing of HOXD genes by recruiting the PRC2 complex [122].
In acute myeloid leukemia, patients carrying a mutation in the sex combs-like 1 gene (ASXL1) often have genome-wide loss of H3K27me3, including in the HOXA cluster region. ASXL1 physically interacts with the Enhancer of Zeste Homolog 2 (EZH2), a histone-lysine N-methyltransferase enzyme and a core member of the PRC2 complex, causing H3K27me3 loss. This results in an increase of HOXA9 and HOXA10 expression [17], favoring leukemia progression due to increased cell proliferation [123,124]. A similar mechanism was suggested for non-small cell lung cancer in which HOXB7 promoter was found to interact with EZH2 and have its H3K27 trimethylated. The specific modulation of HOXB7 interferes with the AKT and MAPK pathways, impacting tumor growth [125]. Moreover, H3K4me3 and H3K36me3 of the promoter regions of the HOXB7, HOXC10 and HOXD8 genes are also considered potential biomarkers in oral squamous cell carcinoma. These histone methylations favor HOX gene expression, which has been associated with the neoplastic phenotype of oral keratinocytes [126]. In contrast, histone methylation can also be associated with HOX gene silencing in cancer. In breast cancer cells, for example, H3K27me3 is involved in miR-10a-induced HOXD4 silencing [127].
4. Therapies Targeting Methylation in HOX-Associated Cancers
Besides cancer, many other human diseases are associated with altered DNA or histone methylations. Therefore, an increasing number of studies are now attempting to identify drugs to reverse these alterations. Several studies and clinical trials are undertaking drug testing to modulate the epigenetic profiles in distinct contexts, namely, by interfering with deacetylase proteins and DNA methylation [11]. Thus, a new epigenetic field is currently emerging, i.e., pharmacoepigenomics, which aims to develop and test drugs specifically targeting epigenetic alterations related to cancer [128]. The drugs developed so far are inhibitors of DNA-methyltransferases (DNMTs), histone methyltransferases (HMTs), demethylases (HDMs) or deacetylases (HDACs); these drugs act upon crucial molecules for epigenetic modifications, as previously described (Figure 5) [128,129].
These drugs [11] are potentially useful to reverse the epigenetic status of gene promoters, or in their associated histones. In fact, anti-epigenetic drugs, such as zebularine (in pre-clinical study) and 5-aza-deoxycytidine (approved in 2004) alter the pan-DNA methylation status in cancer [130]. In acute myeloid leukemia, a specific drug (GSK-J4) targeting key histone modulators (KDM6B, the demethylase of H3K27me3) attenuated the disease progression concomitantly with the silencing of cancer-promoting HOX genes [131]. In addition, HOX antisense intergenic RNA (HOTAIR) can also be targeted in breast cancer models using the compound AC1NOD4Q [132]. This specifically impairs HOTAIR/EZH2 interaction, thereby inhibiting the H3K27-mediated trimethylation of NLK, the target of HOTAIR, and consequently diminishing tumor metastasis through the Wnt/β-catenin pathway. Also, in glioblastoma multiforme, the BET inhibitor, JQ1, impairs HOTAIR, which functions as an epigenetic modulator and contributes to aggressiveness and chemo-resistance [133].
Regarding the alteration in the methylation status of HOX-associated histones, it is important to mentioned two human JmjC-domain-containing proteins, UTX and JMJD3. These proteins are essential for healthy development, affecting the epigenetic profiles of HOX genes, via H3K27me3 [134]. Moreover, UTX can also be associated with the MLL2 methyltransferase in the H3K4me3 process [135]. The action of these proteins allows the replacement of epigenetic repressive markers to occur by activating markers on HOX-associated histones, which seems to be crucial for embryonic development. Therefore, these proteins appear to be important drug targets for the epigenetic control of HOX genes [136]. Kruidenier and colleagues [137] are already designing chemical compounds (GSK-J1 and GSK-J3) that inhibit JMJD3 demethylase activity. One of these compounds (GSK-J1) can also inhibit UTX demethylase activity. In addition, animal experiments using these chemical compounds have already been performed, showing positive effects in the inhibition of tumorigenesis. One example is the work of Zhang and colleagues [138], showing that the GSK-J1, in association with TCP (a LSD1 inhibitor), reduces cell proliferation and induces apoptosis and senescence in vitro, resulting in the inhibition of tumor growth and progression in vivo. All these drugs and their effects or targets are summarized in Table 2.
Table 2.
Drug Candidates | Target Molecule |
Effects | References |
---|---|---|---|
Zebularine | DNMTs and cytidine deaminase | Alter pan-DNA methylation status | [129] |
5-aza-deoxycytidine/5-azacytine | DNMTs | Alter pan-DNA methylation status | [128,129] |
Vorinostat/Belinostat /panobinostat/Romidepsin/Chidamide | HDACs | Alter histones methylation status | [129] |
GSK-J4 | Histones | Inhibits the histone modulator KDM6B/JMJD3 | [130] |
AC1NOD4Q | Histones | Inhibits the HOX antisense intergenic RNA (HOTAIR)/EZH2 interaction | [131] |
JQ1 | HOX antisense intergenic RNA (HOTAIR) | Inhibits the HOX antisense intergenic RNA (HOTAIR) through the BET bromodomain inhibition | [132] |
GSK-J1 | Histones | Inhibits JMJD3 and UTX demethylases | [136] |
GSK-J3 | Histones | Targeting JMJD3 demethylase | [136] |
5. Conclusions
The deregulation of gene expression by epigenetic alterations is recognized as an important feature of cancer, and knowledge of epigenetic regulation is a useful tool for the understanding of carcinogenesis, as well as for the development of anti-epigenetic drugs.
Targeting epigenetic modifications seems to be a novel approach contributing to precision medicine, although there are still limitations to be overcome before it reaches a clinical setting for treating cancer and other diseases.
The methylation of HOX genes or associated histones is recognized as a potential biomarker in several cancer types, facilitating predictions of disease outcome, and therefore, improving treatment decisions. The methylation of some HOX genes is also associated with therapy resistance, and thus, knowledge of its methylation profile may orientate the patients regarding treatment alternatives.
6. Future Perspectives
The flexibility of the epigenome has generated an appealing argument for the exploration of its reversion through pharmacological treatments and as a strategy to inhibit disease phenotypes, or even acting as radiosensitizers. In addition, epigenetic modifications may alter drug response in a very specific manner, leading to increased sensitivity or resistance to treatment. This led to an interest in developing “epidrugs”, some of which are already commercially available or in clinical trials [129,139]. These drugs have been successfully used in cancer treatment, frequently in combination with chemotherapy, and have been shown to cause cytotoxicity or inhibit resistance to anticancer drugs. However, their side effects are undesirable changes in epigenetic signatures which are poorly tolerated by patients. Therefore, the challenge is to uncover epidrugs with targeted effects or to establish the proper balance using combined therapeutic approaches.
Kits for gene-specific methylation detection in specific cancer types are increasing the feasibility of methylation analyses, including the use of nearly all body fluids, such as blood spots, bronchial aspirates, saliva or urine. Consequently, these analyses could be useful for early detection and/or progression screening in a non-invasive way. Tissue analysis is equally possible in almost all of them, including formalin-fixed paraffin-embedded (FFPE) tissue, but with one major difficulty: ensuring the cellular heterogeneity of the tumor. Another challenge is that in spite of the fact that different techniques are available for methylation analyses, the lack of standardized and reproducible protocols may impair the credibility of the resulting assays.
Despite the development of some chemical compounds to regulate DNA and histone methylation status [138,140], it is expected that drugs targeting specific epigenetic alterations, including those related to HOX genes, will appear in the near future. This is justified by the high level of importance that the alteration of HOX gene expression has in cancer predisposition and development, and by the fact that the generalized effect of some epigenetic drugs may lead to secondary malignancies.
Acknowledgments
We acknowledge the funding by FCT– Foundation for Science and Technology (Grant: POCI-01-0145-FEDER-030562).
Author Contributions
A.P. wrote the manuscript conceived 3 figures. S.A.d.B.G. aided in writing of the manuscript and conceived the Tables. R.F. conceived the manuscript and 2 figures, wrote parts of it and supervised the work. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by FCT– Foundation for Science and Technology (Grant: POCI-01-0145-FEDER-030562).
Conflicts of Interest
The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.
References
- 1.Herceg Z., Hainaut P. Genetic and epigenetic alterations as biomarkers for cancer detection, diagnosis and prognosis. Mol. Oncol. 2007;1:26–41. doi: 10.1016/j.molonc.2007.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Gal-Yam E.N., Saito Y., Egger G., Jones P.A. Cancer epigenetics: Modifications, screening, and therapy. Annu. Rev. Med. 2008;59:267–280. doi: 10.1146/annurev.med.59.061606.095816. [DOI] [PubMed] [Google Scholar]
- 3.Sharma S., Kelly T.K., Jones P.A. Epigenetics in cancer. Carcinogenesis. 2010;31:27–36. doi: 10.1093/carcin/bgp220. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Dupont C., Armant D.R., Brenner C.A. Epigenetics: Definition, mechanisms and clinical perspective. Semin. Reprod. Med. 2009;27:351–357. doi: 10.1055/s-0029-1237423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Zhou Y.L.J., Qian L. Computational Epigenetics and Diseases. Academic Press; Cambridge, MA, USA: 2019. Epigenomic reprograming in cardiovascular disease. [Google Scholar]
- 6.Lyko F. The DNA methyltransferase family: A versatile toolkit for epigenetic regulation. Nat. Rev. Genet. 2018;19:81–92. doi: 10.1038/nrg.2017.80. [DOI] [PubMed] [Google Scholar]
- 7.Deaton A.M., Bird A. CpG islands and the regulation of transcription. Genes Dev. 2011;25:1010–1022. doi: 10.1101/gad.2037511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Morgan A.E., Davies T.J., Mc Auley M.T. The role of DNA methylation in ageing and cancer. Proc. Nutr. Soc. 2018;77:412–422. doi: 10.1017/S0029665118000150. [DOI] [PubMed] [Google Scholar]
- 9.Margueron R., Trojer P., Reinberg D. The key to development: Interpreting the histone code? Curr. Opin. Genet. Dev. 2005;15:163–176. doi: 10.1016/j.gde.2005.01.005. [DOI] [PubMed] [Google Scholar]
- 10.Ezziane Z. Analysis of the Hox epigenetic code. World J. Clin. Oncol. 2012;3:48–56. doi: 10.5306/wjco.v3.i4.48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Javaid N., Choi S. Acetylation- and Methylation-Related Epigenetic Proteins in the Context of Their Targets. Genes. 2017;8:196. doi: 10.3390/genes8080196. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Reynolds N., Salmon-Divon M., Dvinge H., Hynes-Allen A., Balasooriya G., Leaford D., Behrens A., Bertone P., Hendrich B. NuRD-mediated deacetylation of H3K27 facilitates recruitment of Polycomb Repressive Complex 2 to direct gene repression. Embo J. 2012;31:593–605. doi: 10.1038/emboj.2011.431. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Catalanotto C., Cogoni C., Zardo G. MicroRNA in Control of Gene Expression: An Overview of Nuclear Functions. Int. J. Mol. Sci. 2016;17:1712. doi: 10.3390/ijms17101712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Becker P.B., Workman J.L. Nucleosome remodeling and epigenetics. Cold Spring Harb. Perspect. Biol. 2013;5 doi: 10.1101/cshperspect.a017905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.De Bessa Garcia S.A., Araújo M., Pereira T., Mouta J., Freitas R. HOX genes function in Breast Cancer development. Biochim. Biophys. Acta Rev. Cancer. 2020;1873:188358. doi: 10.1016/j.bbcan.2020.188358. [DOI] [PubMed] [Google Scholar]
- 16.Shah N., Sukumar S. The Hox genes and their roles in oncogenesis. Nat. Rev. Cancer. 2010;10:361–371. doi: 10.1038/nrc2826. [DOI] [PubMed] [Google Scholar]
- 17.Li B., Huang Q., Wei G.H. The Role of HOX Transcription Factors in Cancer Predisposition and Progression. Cancers. 2019;11:528. doi: 10.3390/cancers11040528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Bhatlekar S., Fields J.Z., Boman B.M. HOX genes and their role in the development of human cancers. J. Mol. Med. 2014;92:811–823. doi: 10.1007/s00109-014-1181-y. [DOI] [PubMed] [Google Scholar]
- 19.Du H., Taylor H.S. The Role of Hox Genes in Female Reproductive Tract Development, Adult Function, and Fertility. Cold Spring Harb. Perspect. Med. 2015;6:a023002. doi: 10.1101/cshperspect.a023002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Quinonez S.C., Innis J.W. Human HOX gene disorders. Mol. Genet. Metab. 2014;111:4–15. doi: 10.1016/j.ymgme.2013.10.012. [DOI] [PubMed] [Google Scholar]
- 21.Su J., Huang Y.H., Cui X., Wang X., Zhang X., Lei Y., Xu J., Lin X., Chen K., Lv J., et al. Homeobox oncogene activation by pan-cancer DNA hypermethylation. Genome Biol. 2018;19:108. doi: 10.1186/s13059-018-1492-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Arnold A., Imada E.L., Zhang M.L., Edward D.P., Marchionni L., Rodriguez F.J. Differential gene methylation and expression of HOX transcription factor family in orbitofacial neurofibroma. Acta Neuropathol. Commun. 2020;8:62. doi: 10.1186/s40478-020-00940-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wang L., Tan Y.J., Wang M., Chen Y.F., Li X.Y. DNA Methylation Inhibitor 5-Aza-2′-Deoxycytidine Modulates Endometrial Receptivity Through Upregulating HOXA10 Expression. Reprod. Sci. 2019;26:839–846. doi: 10.1177/1933719118815575. [DOI] [PubMed] [Google Scholar]
- 24.Pilato B., Pinto R., De Summa S., Lambo R., Paradiso A., Tommasi S. HOX gene methylation status analysis in patients with hereditary breast cancer. J. Hum. Genet. 2013;58:51–53. doi: 10.1038/jhg.2012.118. [DOI] [PubMed] [Google Scholar]
- 25.Chen L.N., Rubin R.S., Othepa E., Cer C., Yun E., Agarwal R.P., Collins B.T., McGeagh K., Pahira J., Bandi G., et al. Correlation of HOXD3 promoter hypermethylation with clinical and pathologic features in screening prostate biopsies. Prostate. 2014;74:714–721. doi: 10.1002/pros.22790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Karlsson A., Jonsson M., Lauss M., Brunnstrom H., Jonsson P., Borg A., Jonsson G., Ringner M., Planck M., Staaf J. Genome-wide DNA methylation analysis of lung carcinoma reveals one neuroendocrine and four adenocarcinoma epitypes associated with patient outcome. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2014;20:6127–6140. doi: 10.1158/1078-0432.CCR-14-1087. [DOI] [PubMed] [Google Scholar]
- 27.Singh A., Gupta S., Badarukhiya J.A., Sachan M. Detection of aberrant methylation of HOXA9 and HIC1 through multiplex MethyLight assay in serum DNA for the early detection of epithelial ovarian cancer. Int. J. Cancer. 2020 doi: 10.1002/ijc.32984. [DOI] [PubMed] [Google Scholar]
- 28.Dawson M.A., Kouzarides T. Cancer epigenetics: From mechanism to therapy. Cell. 2012;150:12–27. doi: 10.1016/j.cell.2012.06.013. [DOI] [PubMed] [Google Scholar]
- 29.Kim J., Bae D.H., Kim J.H., Song K.S., Kim Y.S., Kim S.Y. HOXC10 overexpression promotes cell proliferation and migration in gastric cancer. Oncol. Rep. 2019;42:202–212. doi: 10.3892/or.2019.7164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Shao L., Chen Z., Peng D., Soutto M., Zhu S., Bates A., Zhang S., El-Rifai W. Methylation of the HOXA10 Promoter Directs miR-196b-5p-Dependent Cell Proliferation and Invasion of Gastric Cancer Cells. Mol. Cancer Res. 2018;16:696–706. doi: 10.1158/1541-7786.MCR-17-0655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Prachayakul V., Kanchanapermpoon J., Thuwajit C., Boonyaarunnate T., Pongpaibul A., Chobson P., Thuwajit P. DNA Methylation Markers Improve the Sensitivity of Endoscopic Retrograde Cholangiopancreatography-Based Brushing Cytology in Extrahepatic Cholangiocarcinoma. Technol. Cancer Res. Treat. 2017;16:1252–1258. doi: 10.1177/1533034617748090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Shu Y., Wang B., Wang J., Wang J.M., Zou S.Q. Identification of methylation profile of HOX genes in extrahepatic cholangiocarcinoma. World J. Gastroenterol. 2011;17:3407–3419. doi: 10.3748/wjg.v17.i29.3407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wasenang W., Chaiyarit P., Proungvitaya S., Limpaiboon T. Serum cell-free DNA methylation of OPCML and HOXD9 as a biomarker that may aid in differential diagnosis between cholangiocarcinoma and other biliary diseases. Clin. Epigenet. 2019;11:39. doi: 10.1186/s13148-019-0634-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Xylinas E., Hassler M.R., Zhuang D., Krzywinski M., Erdem Z., Robinson B.D., Elemento O., Clozel T., Shariat S.F. An Epigenomic Approach to Improving Response to Neoadjuvant Cisplatin Chemotherapy in Bladder Cancer. Biomolecules. 2016;6:37. doi: 10.3390/biom6030037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Reinert T., Modin C., Castano F.M., Lamy P., Wojdacz T.K., Hansen L.L., Wiuf C., Borre M., Dyrskjot L., Orntoft T.F. Comprehensive genome methylation analysis in bladder cancer: Identification and validation of novel methylated genes and application of these as urinary tumor markers. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2011;17:5582–5592. doi: 10.1158/1078-0432.CCR-10-2659. [DOI] [PubMed] [Google Scholar]
- 36.Marsit C.J., Houseman E.A., Christensen B.C., Gagne L., Wrensch M.R., Nelson H.H., Wiemels J., Zheng S., Wiencke J.K., Andrew A.S., et al. Identification of methylated genes associated with aggressive bladder cancer. PLoS ONE. 2010;5:e12334. doi: 10.1371/journal.pone.0012334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Elias M.H., Baba A.A., Husin A., Sulong S., Hassan R., Sim G.A., Abdul Wahid S.F., Ankathil R. HOXA4 gene promoter hypermethylation as an epigenetic mechanism mediating resistance to imatinib mesylate in chronic myeloid leukemia patients. Biomed. Res. Int. 2013;2013:129715. doi: 10.1155/2013/129715. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Strathdee G., Holyoake T.L., Sim A., Parker A., Oscier D.G., Melo J.V., Meyer S., Eden T., Dickinson A.M., Mountford J.C., et al. Inactivation of HOXA genes by hypermethylation in myeloid and lymphoid malignancy is frequent and associated with poor prognosis. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2007;13:5048–5055. doi: 10.1158/1078-0432.CCR-07-0919. [DOI] [PubMed] [Google Scholar]
- 39.Leshchenko V.V., Kuo P.Y., Shaknovich R., Yang D.T., Gellen T., Petrich A., Yu Y., Remache Y., Weniger M.A., Rafiq S., et al. Genomewide DNA methylation analysis reveals novel targets for drug development in mantle cell lymphoma. Blood. 2010;116:1025–1034. doi: 10.1182/blood-2009-12-257485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Park S.Y., Kwon H.J., Lee H.E., Ryu H.S., Kim S.W., Kim J.H., Kim I.A., Jung N., Cho N.Y., Kang G.H. Promoter CpG island hypermethylation during breast cancer progression. Virchows Arch. Int. J. Pathol. 2011;458:73–84. doi: 10.1007/s00428-010-1013-6. [DOI] [PubMed] [Google Scholar]
- 41.Li S.Y., Wu H.C., Mai H.F., Zhen J.X., Li G.S., Chen S.J. Microarray-based analysis of whole-genome DNA methylation profiling in early detection of breast cancer. J. Cell. Biochem. 2019;120:658–670. doi: 10.1002/jcb.27423. [DOI] [PubMed] [Google Scholar]
- 42.Abba M.C., Gong T., Lu Y., Lee J., Zhong Y., Lacunza E., Butti M., Takata Y., Gaddis S., Shen J., et al. A Molecular Portrait of High-Grade Ductal Carcinoma In Situ. Cancer Res. 2015;75:3980–3990. doi: 10.1158/0008-5472.CAN-15-0506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Pineda B., Diaz-Lagares A., Pérez-Fidalgo J.A., Burgués O., González-Barrallo I., Crujeiras A.B., Sandoval J., Esteller M., Lluch A., Eroles P. A two-gene epigenetic signature for the prediction of response to neoadjuvant chemotherapy in triple-negative breast cancer patients. Clin. Epigenet. 2019;11:33. doi: 10.1186/s13148-019-0626-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Park S.M., Choi E.Y., Bae M., Choi J.K., Kim Y.J. A long-range interactive DNA methylation marker panel for the promoters of HOXA9 and HOXA10 predicts survival in breast cancer patients. Clin. Epigenet. 2017;9:73. doi: 10.1186/s13148-017-0373-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Xia B., Shan M., Wang J., Zhong Z., Geng J., He X., Vu T., Zhang D., Pang D. Homeobox A11 hypermethylation indicates unfavorable prognosis in breast cancer. Oncotarget. 2017;8:9794–9805. doi: 10.18632/oncotarget.14216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Benezeder T., Tiran V., Treitler A.A.N., Suppan C., Rossmann C., Stoeger H., Cote R.J., Datar R.H., Balic M., Dandachi N. Multigene methylation analysis of enriched circulating tumor cells associates with poor progression-free survival in metastatic breast cancer patients. Oncotarget. 2017;8:92483–92496. doi: 10.18632/oncotarget.21426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Wang F., Yang Y., Fu Z., Xu N., Chen F., Yin H., Lu X., Shen R., Lu C. Differential DNA methylation status between breast carcinomatous and normal tissues. Biomed. Pharmacother. 2014;68:699–707. doi: 10.1016/j.biopha.2014.07.014. [DOI] [PubMed] [Google Scholar]
- 48.Shah M., Cardenas R., Wang B., Persson J., Mongan N.P., Grabowska A., Allegrucci C. HOXC8 regulates self-renewal, differentiation and transformation of breast cancer stem cells. Mol. Cancer. 2017;16:38. doi: 10.1186/s12943-017-0605-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Kikuyama M., Takeshima H., Kinoshita T., Okochi-Takada E., Wakabayashi M., Akashi-Tanaka S., Ogawa T., Seto Y., Ushijima T. Development of a novel approach, the epigenome-based outlier approach, to identify tumor-suppressor genes silenced by aberrant DNA methylation. Cancer Lett. 2012;322:204–212. doi: 10.1016/j.canlet.2012.03.016. [DOI] [PubMed] [Google Scholar]
- 50.Pathiraja T.N., Nayak S.R., Xi Y., Jiang S., Garee J.P., Edwards D.P., Lee A.V., Chen J., Shea M.J., Santen R.J., et al. Epigenetic reprogramming of HOXC10 in endocrine-resistant breast cancer. Sci. Transl. Med. 2014;6:229ra241. doi: 10.1126/scitranslmed.3008326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Jeschke J., Van Neste L., Glockner S.C., Dhir M., Calmon M.F., Deregowski V., Van Criekinge W., Vlassenbroeck I., Koch A., Chan T.A., et al. Biomarkers for detection and prognosis of breast cancer identified by a functional hypermethylome screen. Epigenetics. 2012;7:701–709. doi: 10.4161/epi.20445. [DOI] [PubMed] [Google Scholar]
- 52.Miyamoto K., Fukutomi T., Akashi-Tanaka S., Hasegawa T., Asahara T., Sugimura T., Ushijima T. Identification of 20 genes aberrantly methylated in human breast cancers. Int. J. Cancer. 2005;116:407–414. doi: 10.1002/ijc.21054. [DOI] [PubMed] [Google Scholar]
- 53.Zhong Z., Shan M., Wang J., Liu T., Xia B., Niu M., Ren Y., Pang D. HOXD13 methylation status is a prognostic indicator in breast cancer. Int. J. Clin. Exp. Pathol. 2015;8:10716–10724. [PMC free article] [PubMed] [Google Scholar]
- 54.Alvarado-Ruiz L., Martinez-Silva M.G., Torres-Reyes L.A., Pina-Sanchez P., Ortiz-Lazareno P., Bravo-Cuellar A., Aguilar-Lemarroy A., Jave-Suarez L.F. HOXA9 is Underexpressed in Cervical Cancer Cells and its Restoration Decreases Proliferation, Migration and Expression of Epithelial-to-Mesenchymal Transition Genes. Asian Pac. J. Cancer Prev. 2016;17:1037–1047. doi: 10.7314/APJCP.2016.17.3.1037. [DOI] [PubMed] [Google Scholar]
- 55.Li D., Bai Y., Feng Z., Li W., Yang C., Guo Y., Lin C., Zhang Y., He Q., Hu G., et al. Study of Promoter Methylation Patterns of HOXA2, HOXA5, and HOXA6 and Its Clinicopathological Characteristics in Colorectal Cancer. Front. Oncol. 2019;9:394. doi: 10.3389/fonc.2019.00394. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Constâncio V., Nunes S.P., Moreira-Barbosa C., Freitas R., Oliveira J., Pousa I., Oliveira J., Soares M., Dias C.G., Dias T., et al. Early detection of the major male cancer types in blood-based liquid biopsies using a DNA methylation panel. Clin. Epigenet. 2019;11:175. doi: 10.1186/s13148-019-0779-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Yuan Y.H., Wang H.Y., Lai Y., Zhong W., Liang W.L., Yan F.D., Yu Z., Chen J.K., Lin Y. Epigenetic inactivation of HOXD10 is associated with human colon cancer via inhibiting the RHOC/AKT/MAPK signaling pathway. Cell Commun. Signal. 2019;17:9. doi: 10.1186/s12964-018-0316-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Makabe T., Arai E., Hirano T., Ito N., Fukamachi Y., Takahashi Y., Hirasawa A., Yamagami W., Susumu N., Aoki D., et al. Genome-wide DNA methylation profile of early-onset endometrial cancer: Its correlation with genetic aberrations and comparison with late-onset endometrial cancer. Carcinogenesis. 2019;40:611–623. doi: 10.1093/carcin/bgz046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Yoo K.H., Park Y.K., Kim H.S., Jung W.W., Chang S.G. Epigenetic inactivation of HOXA5 and MSH2 gene in clear cell renal cell carcinoma. Pathol. Int. 2010;60:661–666. doi: 10.1111/j.1440-1827.2010.02578.x. [DOI] [PubMed] [Google Scholar]
- 60.Wang L., Cui Y., Sheng J., Yang Y., Kuang G., Fan Y., Jin J., Zhang Q. Epigenetic inactivation of HOXA11, a novel functional tumor suppressor for renal cell carcinoma, is associated with RCC TNM classification. Oncotarget. 2017;8:21861–21870. doi: 10.18632/oncotarget.15668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Okuda H., Toyota M., Ishida W., Furihata M., Tsuchiya M., Kamada M., Tokino T., Shuin T. Epigenetic inactivation of the candidate tumor suppressor gene HOXB13 in human renal cell carcinoma. Oncogene. 2006;25:1733–1742. doi: 10.1038/sj.onc.1209200. [DOI] [PubMed] [Google Scholar]
- 62.Li H.P., Peng C.C., Chung I.C., Huang M.Y., Huang S.T., Chen C.C., Chang K.P., Hsu C.L., Chang Y.S. Aberrantly hypermethylated Homeobox A2 derepresses metalloproteinase-9 through TBP and promotes invasion in Nasopharyngeal carcinoma. Oncotarget. 2013;4:2154–2165. doi: 10.18632/oncotarget.1367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Nagata H., Kozaki K.I., Muramatsu T., Hiramoto H., Tanimoto K., Fujiwara N., Imoto S., Ichikawa D., Otsuji E., Miyano S., et al. Genome-wide screening of DNA methylation associated with lymph node metastasis in esophageal squamous cell carcinoma. Oncotarget. 2017;8:37740–37750. doi: 10.18632/oncotarget.17147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Zhou C., Li J., Li Q., Liu H., Ye D., Wu Z., Shen Z., Deng H. The clinical significance of HOXA9 promoter hypermethylation in head and neck squamous cell carcinoma. J. Clin. Lab. Anal. 2019;33:e22873. doi: 10.1002/jcla.22873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Uchida K., Veeramachaneni R., Huey B., Bhattacharya A., Schmidt B.L., Albertson D.G. Investigation of HOXA9 promoter methylation as a biomarker to distinguish oral cancer patients at low risk of neck metastasis. BMC Cancer. 2014;14:353. doi: 10.1186/1471-2407-14-353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Shen S., Wang G., Shi Q., Zhang R., Zhao Y., Wei Y., Chen F., Christiani D.C. Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma. Clin. Epigenetics. 2017;9:88. doi: 10.1186/s13148-017-0392-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Guo Y., Peng Y., Gao D., Zhang M., Yang W., Linghu E., Herman J.G., Fuks F., Dong G., Guo M. Silencing HOXD10 by promoter region hypermethylation activates ERK signaling in hepatocellular carcinoma. Clin. Epigenetics. 2017;9:116. doi: 10.1186/s13148-017-0412-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Shen J., Wang S., Zhang Y.J., Kappil M.A., Chen Wu H., Kibriya M.G., Wang Q., Jasmine F., Ahsan H., Lee P.H., et al. Genome-wide aberrant DNA methylation of microRNA host genes in hepatocellular carcinoma. Epigenetics. 2012;7:1230–1237. doi: 10.4161/epi.22140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Selamat S.A., Galler J.S., Joshi A.D., Fyfe M.N., Campan M., Siegmund K.D., Kerr K.M., Laird-Offringa I.A. DNA methylation changes in atypical adenomatous hyperplasia, adenocarcinoma in situ, and lung adenocarcinoma. PLoS ONE. 2011;6:e21443. doi: 10.1371/journal.pone.0021443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Hata A., Nakajima T., Matsusaka K., Fukuyo M., Morimoto J., Yamamoto T., Sakairi Y., Rahmutulla B., Ota S., Wada H., et al. A low DNA methylation epigenotype in lung squamous cell carcinoma and its association with idiopathic pulmonary fibrosis and poorer prognosis. Int. J. Cancer. 2020;146:388–399. doi: 10.1002/ijc.32532. [DOI] [PubMed] [Google Scholar]
- 71.Heller G., Babinsky V.N., Ziegler B., Weinzierl M., Noll C., Altenberger C., Müllauer L., Dekan G., Grin Y., Lang G., et al. Genome-wide CpG island methylation analyses in non-small cell lung cancer patients. Carcinogenesis. 2013;34:513–521. doi: 10.1093/carcin/bgs363. [DOI] [PubMed] [Google Scholar]
- 72.Gan B.L., He R.Q., Zhang Y., Wei D.M., Hu X.H., Chen G. Downregulation of HOXA3 in lung adenocarcinoma and its relevant molecular mechanism analysed by RT-qPCR, TCGA and in silico analysis. Int. J. Oncol. 2018;53:1557–1579. doi: 10.3892/ijo.2018.4508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Zhang M.L., Nie F.Q., Sun M., Xia R., Xie M., Lu K.H., Li W. HOXA5 indicates poor prognosis and suppresses cell proliferation by regulating p21 expression in non small cell lung cancer. Tumour Biol. J. Int. Soc. Oncodev. Biol. Med. 2015;36:3521–3531. doi: 10.1007/s13277-014-2988-4. [DOI] [PubMed] [Google Scholar]
- 74.Chang C.J., Chen Y.L., Hsieh C.H., Liu Y.J., Yu S.L., Chen J.J.W., Wang C.C. HOXA5 and p53 cooperate to suppress lung cancer cell invasion and serve as good prognostic factors in non-small cell lung cancer. J. Cancer. 2017;8:1071–1081. doi: 10.7150/jca.17295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Shiraishi M., Sekiguchi A., Oates A.J., Terry M.J., Miyamoto Y. HOX gene clusters are hotspots of de novo methylation in CpG islands of human lung adenocarcinomas. Oncogene. 2002;21:3659–3662. doi: 10.1038/sj.onc.1205453. [DOI] [PubMed] [Google Scholar]
- 76.Rauch T., Wang Z., Zhang X., Zhong X., Wu X., Lau S.K., Kernstine K.H., Riggs A.D., Pfeifer G.P. Homeobox gene methylation in lung cancer studied by genome-wide analysis with a microarray-based methylated CpG island recovery assay. Proc. Natl. Acad. Sci. USA. 2007;104:5527–5532. doi: 10.1073/pnas.0701059104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Hwang J.A., Lee B.B., Kim Y., Hong S.H., Kim Y.H., Han J., Shim Y.M., Yoon C.Y., Lee Y.S., Kim D.H. HOXA9 inhibits migration of lung cancer cells and its hypermethylation is associated with recurrence in non-small cell lung cancer. Mol. Carcinog. 2015;54(Suppl. 1):E72–E80. doi: 10.1002/mc.22180. [DOI] [PubMed] [Google Scholar]
- 78.Ooki A., Maleki Z., Tsay J.J., Goparaju C., Brait M., Turaga N., Nam H.S., Rom W.N., Pass H.I., Sidransky D., et al. A Panel of Novel Detection and Prognostic Methylated DNA Markers in Primary Non-Small Cell Lung Cancer and Serum DNA. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2017;23:7141–7152. doi: 10.1158/1078-0432.CCR-17-1222. [DOI] [PubMed] [Google Scholar]
- 79.Hwang J.A., Lee B.B., Kim Y., Park S.E., Heo K., Hong S.H., Kim Y.H., Han J., Shim Y.M., Lee Y.S., et al. HOXA11 hypermethylation is associated with progression of non-small cell lung cancer. Oncotarget. 2013;4:2317–2325. doi: 10.18632/oncotarget.1464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Daugaard I., Dominguez D., Kjeldsen T.E., Kristensen L.S., Hager H., Wojdacz T.K., Hansen L.L. Identification and validation of candidate epigenetic biomarkers in lung adenocarcinoma. Sci. Rep. 2016;6:35807. doi: 10.1038/srep35807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Sato T., Arai E., Kohno T., Takahashi Y., Miyata S., Tsuta K., Watanabe S., Soejima K., Betsuyaku T., Kanai Y. Epigenetic clustering of lung adenocarcinomas based on DNA methylation profiles in adjacent lung tissue: Its correlation with smoking history and chronic obstructive pulmonary disease. Int. J. Cancer. 2014;135:319–334. doi: 10.1002/ijc.28684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Wielscher M., Vierlinger K., Kegler U., Ziesche R., Gsur A., Weinhäusel A. Diagnostic Performance of Plasma DNA Methylation Profiles in Lung Cancer, Pulmonary Fibrosis and COPD. EBioMedicine. 2015;2:929–936. doi: 10.1016/j.ebiom.2015.06.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Han L., Xu G., Xu C., Liu B., Liu D. Potential prognostic biomarkers identified by DNA methylation profiling analysis for patients with lung adenocarcinoma. Oncol. Lett. 2018;15:3552–3557. doi: 10.3892/ol.2018.7790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Di Vinci A., Casciano I., Marasco E., Banelli B., Ravetti G.L., Borzì L., Brigati C., Forlani A., Dorcaratto A., Allemanni G., et al. Quantitative methylation analysis of HOXA3, 7, 9, and 10 genes in glioma: Association with tumor WHO grade and clinical outcome. J. Cancer Res. Clin. Oncol. 2012;138:35–47. doi: 10.1007/s00432-011-1070-5. [DOI] [PubMed] [Google Scholar]
- 85.Kurscheid S., Bady P., Sciuscio D., Samarzija I., Shay T., Vassallo I., Criekinge W.V., Daniel R.T., van den Bent M.J., Marosi C., et al. Chromosome 7 gain and DNA hypermethylation at the HOXA10 locus are associated with expression of a stem cell related HOX-signature in glioblastoma. Genome Biol. 2015;16:16. doi: 10.1186/s13059-015-0583-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Se Y.B., Kim S.H., Kim J.Y., Kim J.E., Dho Y.S., Kim J.W., Kim Y.H., Woo H.G., Kim S.H., Kang S.H., et al. Underexpression of HOXA11 Is Associated with Treatment Resistance and Poor Prognosis in Glioblastoma. Cancer Res. Treat. Off. J. Korean Cancer Assoc. 2017;49:387–398. doi: 10.4143/crt.2016.106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Shinawi T., Hill V.K., Krex D., Schackert G., Gentle D., Morris M.R., Wei W., Cruickshank G., Maher E.R., Latif F. DNA methylation profiles of long- and short-term glioblastoma survivors. Epigenetics. 2013;8:149–156. doi: 10.4161/epi.23398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Koukoura O., Spandidos D.A., Daponte A., Sifakis S. DNA methylation profiles in ovarian cancer: Implication in diagnosis and therapy (Review) Mol. Med. Rep. 2014;10:3–9. doi: 10.3892/mmr.2014.2221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Wu Q., Lothe R.A., Ahlquist T., Silins I., Tropé C.G., Micci F., Nesland J.M., Suo Z., Lind G.E. DNA methylation profiling of ovarian carcinomas and their in vitro models identifies HOXA9, HOXB5, SCGB3A1, and CRABP1 as novel targets. Mol. Cancer. 2007;6:45. doi: 10.1186/1476-4598-6-45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Fiegl H., Windbichler G., Mueller-Holzner E., Goebel G., Lechner M., Jacobs I.J., Widschwendter M. HOXA11 DNA methylation—A novel prognostic biomarker in ovarian cancer. Int. J. Cancer. 2008;123:725–729. doi: 10.1002/ijc.23563. [DOI] [PubMed] [Google Scholar]
- 91.Nekrasov K.A., Vikarchuk M.V., Rudenko E.E., Ivanitskiy I.V., Grygorenko V.M., Danylets R.O., Kondratov A.G., Stoliar L.A., Sharopov B.R., Kashuba V.I. 6-gene promoter methylation assay is potentially applicable for prostate cancer clinical staging based on urine collection following prostatic massage. Oncol. Lett. 2019;18:6917–6925. doi: 10.3892/ol.2019.11015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Kron K., Pethe V., Briollais L., Sadikovic B., Ozcelik H., Sunderji A., Venkateswaran V., Pinthus J., Fleshner N., van der Kwast T., et al. Discovery of novel hypermethylated genes in prostate cancer using genomic CpG island microarrays. PLoS ONE. 2009;4:e4830. doi: 10.1371/journal.pone.0004830. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Stott-Miller M., Zhao S., Wright J.L., Kolb S., Bibikova M., Klotzle B., Ostrander E.A., Fan J.B., Feng Z., Stanford J.L. Validation study of genes with hypermethylated promoter regions associated with prostate cancer recurrence. Cancer Epidemiol. Prev. Biomark. 2014;23:1331–1339. doi: 10.1158/1055-9965.EPI-13-1000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Zhao F., Olkhov-Mitsel E., van der Kwast T., Sykes J., Zdravic D., Venkateswaran V., Zlotta A.R., Loblaw A., Fleshner N.E., Klotz L., et al. Urinary DNA Methylation Biomarkers for Noninvasive Prediction of Aggressive Disease in Patients with Prostate Cancer on Active Surveillance. J. Urol. 2017;197:335–341. doi: 10.1016/j.juro.2016.08.081. [DOI] [PubMed] [Google Scholar]
- 95.Qu Y., Dang S., Hou P. Gene methylation in gastric cancer. Clin. Chim. Acta Int. J. Clin. Chem. 2013;424:53–65. doi: 10.1016/j.cca.2013.05.002. [DOI] [PubMed] [Google Scholar]
- 96.Bai Y., Fang N., Gu T., Kang Y., Wu J., Yang D., Zhang H., Suo Z., Ji S. HOXA11 gene is hypermethylation and aberrant expression in gastric cancer. Cancer Cell Int. 2014;14:79. doi: 10.1186/s12935-014-0079-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Sui B.Q., Zhang C.D., Liu J.C., Wang L., Dai D.Q. HOXB13 expression and promoter methylation as a candidate biomarker in gastric cancer. Oncol. Lett. 2018;15:8833–8840. doi: 10.3892/ol.2018.8371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Wu J., Xiao Y., Xia C., Yang F., Li H., Shao Z., Lin Z., Zhao X. Identification of Biomarkers for Predicting Lymph Node Metastasis of Stomach Cancer Using Clinical DNA Methylation Data. Dis. Mark. 2017;2017:5745724. doi: 10.1155/2017/5745724. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Wang L., Chen S., Xue M., Zhong J., Wang X., Gan L., Lam E.K., Liu X., Zhang J., Zhou T., et al. Homeobox D10 gene, a candidate tumor suppressor, is downregulated through promoter hypermethylation and associated with gastric carcinogenesis. Mol. Med. 2012;18:389–400. doi: 10.2119/molmed.2011.00172. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Costa A.L., Moreira-Barbosa C., Lobo J., Vilela-Salgueiro B., Cantante M., Guimarães R., Lopes P., Braga I., Oliveira J., Antunes L., et al. DNA methylation profiling as a tool for testicular germ cell tumors subtyping. Epigenomics. 2018;10:1511–1523. doi: 10.2217/epi-2018-0034. [DOI] [PubMed] [Google Scholar]
- 101.Chang H., Shin B.K., Kim A., Kim H.K., Kim B.H. DNA methylation analysis for the diagnosis of thyroid nodules—A pilot study with reference to BRAF(V) (600E) mutation and cytopathology results. Cytopathol. Off. J. Br. Soc. Clin. Cytol. 2016;27:122–130. doi: 10.1111/cyt.12248. [DOI] [PubMed] [Google Scholar]
- 102.Kikuchi Y., Tsuji E., Yagi K., Matsusaka K., Tsuji S., Kurebayashi J., Ogawa T., Aburatani H., Kaneda A. Aberrantly methylated genes in human papillary thyroid cancer and their association with BRAF/RAS mutation. Front. Genet. 2013;4:271. doi: 10.3389/fgene.2013.00271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Rodríguez-Rodero S., Fernández A.F., Fernández-Morera J.L., Castro-Santos P., Bayon G.F., Ferrero C., Urdinguio R.G., Gonzalez-Marquez R., Suarez C., Fernández-Vega I., et al. DNA methylation signatures identify biologically distinct thyroid cancer subtypes. J. Clin. Endocrinol. Metab. 2013;98:2811–2821. doi: 10.1210/jc.2012-3566. [DOI] [PubMed] [Google Scholar]
- 104.Cao Y.M., Gu J., Zhang Y.S., Wei W.J., Qu N., Wen D., Liao T., Shi R.L., Zhang L., Ji Q.H., et al. Aberrant hypermethylation of the HOXD10 gene in papillary thyroid cancer with BRAFV600E mutation. Oncol. Rep. 2018;39:338–348. doi: 10.3892/or.2017.6058. [DOI] [PubMed] [Google Scholar]
- 105.Li J., Ye M., Zhou C. Expression Profile and Prognostic Values of HOXA Family Members in Laryngeal Squamous Cell Cancer. Front. Oncol. 2020;10:368. doi: 10.3389/fonc.2020.00368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Kuasne H., Cólus I.M., Busso A.F., Hernandez-Vargas H., Barros-Filho M.C., Marchi F.A., Scapulatempo-Neto C., Faria E.F., Lopes A., Guimarães G.C., et al. Genome-wide methylation and transcriptome analysis in penile carcinoma: Uncovering new molecular markers. Clin. Epigenet. 2015;7:46. doi: 10.1186/s13148-015-0082-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Wang J., Yu X.F., N O.U., Luo Q.L., Zhao S.Y., Guan X.F., Chen T., Li J.X. Multi-platform analysis of methylation-regulated genes in human lung adenocarcinoma. J. Toxicol. Environ. Health Part A. 2019;82:37–45. doi: 10.1080/15287394.2018.1551645. [DOI] [PubMed] [Google Scholar]
- 108.Musialik E., Bujko M., Kober P., Grygorowicz M.A., Libura M., Przestrzelska M., Juszczyński P., Borg K., Florek I., Jakóbczyk M., et al. Promoter DNA methylation and expression levels of HOXA4, HOXA5 and MEIS1 in acute myeloid leukemia. Mol. Med. Rep. 2015;11:3948–3954. doi: 10.3892/mmr.2015.3196. [DOI] [PubMed] [Google Scholar]
- 109.Hulbert A., Jusue-Torres I., Stark A., Chen C., Rodgers K., Lee B., Griffin C., Yang A., Huang P., Wrangle J., et al. Early Detection of Lung Cancer Using DNA Promoter Hypermethylation in Plasma and Sputum. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2017;23:1998–2005. doi: 10.1158/1078-0432.CCR-16-1371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Nunes S.P., Diniz F., Moreira-Barbosa C., Constâncio V., Silva A.V., Oliveira J., Soares M., Paulino S., Cunha A.L., Rodrigues J., et al. Subtyping Lung Cancer Using DNA Methylation in Liquid Biopsies. J. Clin. Med. 2019;8:1500. doi: 10.3390/jcm8091500. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Yang Z., Qi W., Sun L., Zhou H., Zhou B., Hu Y. DNA methylation analysis of selected genes for the detection of early-stage lung cancer using circulating cell-free DNA. Adv. Clin. Exp. Med. Off. Organ Wroc. Med. Univ. 2019;28:355–360. doi: 10.17219/acem/84935. [DOI] [PubMed] [Google Scholar]
- 112.Zhang Y., Yuan Y., Li Y., Zhang P., Chen P., Sun S. An inverse interaction between HOXA11 and HOXA11-AS is associated with cisplatin resistance in lung adenocarcinoma. Epigenetics. 2019;14:949–960. doi: 10.1080/15592294.2019.1625673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Yang Y., Wu L., Shu X., Lu Y., Shu X.O., Cai Q., Beeghly-Fadiel A., Li B., Ye F., Berchuck A., et al. Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk. Cancer Res. 2019;79:505–517. doi: 10.1158/0008-5472.CAN-18-2726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Zhao Y., Yamashita T., Ishikawa M. Regulation of tumor invasion by HOXB13 gene overexpressed in human endometrial cancer. Oncol. Rep. 2005;13:721–726. doi: 10.3892/or.13.4.721. [DOI] [PubMed] [Google Scholar]
- 115.Doecke J.D., Wang Y., Baggerly K. Co-localized genomic regulation of miRNA and mRNA via DNA methylation affects survival in multiple tumor types. Cancer Genet. 2016;209:463–473. doi: 10.1016/j.cancergen.2016.09.001. [DOI] [PubMed] [Google Scholar]
- 116.Rhie S.K., Guo Y., Tak Y.G., Yao L., Shen H., Coetzee G.A., Laird P.W., Farnham P.J. Identification of activated enhancers and linked transcription factors in breast, prostate, and kidney tumors by tracing enhancer networks using epigenetic traits. Epigenet. Chromatin. 2016;9:50. doi: 10.1186/s13072-016-0102-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Tsumura K., Arai E., Tian Y., Shibuya A., Nishihara H., Yotani T., Yamada Y., Takahashi Y., Maeshima A.M., Fujimoto H., et al. Establishment of permutation for cancer risk estimation in the urothelium based on genome-wide DNA methylation analysis. Carcinogenesis. 2019;40:1308–1319. doi: 10.1093/carcin/bgz112. [DOI] [PubMed] [Google Scholar]
- 118.Savio A.J., Kamdar S., Jeyapala R., Olkhov-Mitsel E., Cuizon C., Finelli A., Zlotta A.R., Toi A., Fleshner N.E., van der Kwast T., et al. Methylation Markers in Prostate Biopsies Are Prognosticators for Late Biochemical Recurrence and Therapy after Surgery in Prostate Cancer Patients. J. Mol. Diagn. 2020;22:30–39. doi: 10.1016/j.jmoldx.2019.08.003. [DOI] [PubMed] [Google Scholar]
- 119.Yang Y., Zhao L., Huang B., Hou G., Zhou B., Qian J., Yuan S., Xiao H., Li M., Zhou W. A New Approach to Evaluating Aberrant DNA Methylation Profiles in Hepatocellular Carcinoma as Potential Biomarkers. Sci. Rep. 2017;7:46533. doi: 10.1038/srep46533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Shan M., Zhang L., Liu Y., Gao C., Kang W., Yang W., He Y., Zhang G. DNA Methylation Profiles and Their Diagnostic Utility in BC. Dis. Mark. 2019;2019:6328503. doi: 10.1155/2019/6328503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Neff T., Armstrong S.A. Chromatin maps, histone modifications and leukemia. Leukemia. 2009;23:1243–1251. doi: 10.1038/leu.2009.40. [DOI] [PubMed] [Google Scholar]
- 122.Hajjari M., Salavaty A. HOTAIR: An oncogenic long non-coding RNA in different cancers. Cancer Biol. Med. 2015;12:1–9. doi: 10.7497/j.issn.2095-3941.2015.0006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Bjornsson J.M., Andersson E., Lundstrom P., Larsson N., Xu X., Repetowska E., Humphries R.K., Karlsson S. Proliferation of primitive myeloid progenitors can be reversibly induced by HOXA10. Blood. 2001;98:3301–3308. doi: 10.1182/blood.V98.12.3301. [DOI] [PubMed] [Google Scholar]
- 124.Collins C.T., Hess J.L. Role of HOXA9 in leukemia: Dysregulation, cofactors and essential targets. Oncogene. 2016;35:1090–1098. doi: 10.1038/onc.2015.174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Zhang E.B., Yin D.D., Sun M., Kong R., Liu X.H., You L.H., Han L., Xia R., Wang K.M., Yang J.S., et al. P53-regulated long non-coding RNA TUG1 affects cell proliferation in human non-small cell lung cancer, partly through epigenetically regulating HOXB7 expression. Cell Death Dis. 2014;5:e1243. doi: 10.1038/cddis.2014.201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Marcinkiewicz K.M., Gudas L.J. Altered histone mark deposition and DNA methylation at homeobox genes in human oral squamous cell carcinoma. J. Cell. Physiol. 2014;229:1405–1416. doi: 10.1002/jcp.24577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Tan Y., Zhang B., Wu T., Skogerbø G., Zhu X., Guo X., He S., Chen R. Transcriptional inhibiton of Hoxd4 expression by miRNA-10a in human breast cancer cells. BMC Mol. Biol. 2009;10:12. doi: 10.1186/1471-2199-10-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Fardi M., Solali S., Farshdousti Hagh M. Epigenetic mechanisms as a new approach in cancer treatment: An updated review. Genes Dis. 2018;5:304–311. doi: 10.1016/j.gendis.2018.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Ganesan A., Arimondo P.B., Rots M.G., Jeronimo C., Berdasco M. The timeline of epigenetic drug discovery: From reality to dreams. Clin. Epigenet. 2019;11:174. doi: 10.1186/s13148-019-0776-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Cantile M., Franco R., Schiavo G., Procino A., Cindolo L., Botti G., Cillo C. The HOX genes network in uro-genital cancers: Mechanisms and potential therapeutic implications. Curr. Med. Chem. 2011;18:4872–4884. doi: 10.2174/092986711797535182. [DOI] [PubMed] [Google Scholar]
- 131.Li Y., Zhang M., Sheng M., Zhang P., Chen Z., Xing W., Bai J., Cheng T., Yang F.C., Zhou Y. Therapeutic potential of GSK-J4, a histone demethylase KDM6B/JMJD3 inhibitor, for acute myeloid leukemia. J. Cancer Res. Clin. Oncol. 2018;144:1065–1077. doi: 10.1007/s00432-018-2631-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Ren Y., Wang Y.F., Zhang J., Wang Q.X., Han L., Mei M., Kang C.S. Targeted design and identification of AC1NOD4Q to block activity of HOTAIR by abrogating the scaffold interaction with EZH2. Clin. Epigenet. 2019;11:29. doi: 10.1186/s13148-019-0624-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Janaki Ramaiah M., Divyapriya K., Kartik Kumar S., Rajesh Y. Drug-induced modifications and modulations of microRNAs and long non-coding RNAs for future therapy against Glioblastoma Multiforme. Gene. 2020;723:144126. doi: 10.1016/j.gene.2019.144126. [DOI] [PubMed] [Google Scholar]
- 134.Agger K., Cloos P.A., Christensen J., Pasini D., Rose S., Rappsilber J., Issaeva I., Canaani E., Salcini A.E., Helin K. UTX and JMJD3 are histone H3K27 demethylases involved in HOX gene regulation and development. Nature. 2007;449:731–734. doi: 10.1038/nature06145. [DOI] [PubMed] [Google Scholar]
- 135.Jansen M.P., Knijnenburg T., Reijm E.A., Simon I., Kerkhoven R., Droog M., Velds A., van Laere S., Dirix L., Alexi X., et al. Hallmarks of aromatase inhibitor drug resistance revealed by epigenetic profiling in breast cancer. Cancer Res. 2013;73:6632–6641. doi: 10.1158/0008-5472.CAN-13-0704. [DOI] [PubMed] [Google Scholar]
- 136.Chen S., Shi Y. A new horizon for epigenetic medicine? Cell Res. 2013;23:326–328. doi: 10.1038/cr.2012.136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Kruidenier L., Chung C.W., Cheng Z., Liddle J., Che K., Joberty G., Bantscheff M., Bountra C., Bridges A., Diallo H., et al. A selective jumonji H3K27 demethylase inhibitor modulates the proinflammatory macrophage response. Nature. 2012;488:404–408. doi: 10.1038/nature11262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Zhang W., Cheng J., Diao P., Wang D., Zhang W., Jiang H., Wang Y. Therapeutically targeting head and neck squamous cell carcinoma through synergistic inhibition of LSD1 and JMJD3 by TCP and GSK-J1. Br. J. Cancer. 2020;122:528–538. doi: 10.1038/s41416-019-0680-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Pan Y., Liu G., Zhou F., Su B., Li Y. DNA methylation profiles in cancer diagnosis and therapeutics. Clin. Exp. Med. 2018;18:1–14. doi: 10.1007/s10238-017-0467-0. [DOI] [PubMed] [Google Scholar]
- 140.Yoo C.B., Cheng J.C., Jones P.A. Zebularine: A new drug for epigenetic therapy. Biochem. Soc. Trans. 2004;32:910–912. doi: 10.1042/BST0320910. [DOI] [PubMed] [Google Scholar]