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Article

A Subset of HOX Genes Negatively Correlates with HOX/PBX Inhibitor Target Gene Expression and Is Associated with Apoptosis, DNA Repair, and Metabolism in Prostate Cancer

by
Richard Morgan
1,*,
Christopher Smith
2 and
Hardev Pandha
2
1
School of Medicine and Biosciences, University of West London, St Mary’s Road, London W5 5RF, UK
2
Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK
*
Author to whom correspondence should be addressed.
Genes 2025, 16(7), 824; https://doi.org/10.3390/genes16070824
Submission received: 30 May 2025 / Revised: 2 July 2025 / Accepted: 11 July 2025 / Published: 15 July 2025
(This article belongs to the Section Human Genomics and Genetic Diseases)
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Abstract

Background/Objectives: The HOX genes encode a family of homeodomain-containing transcription factors that have important roles in defining cell and tissue identity in embryonic development, but which also show deregulated expression in many cancers and have been shown to have pro-oncogenic roles. Due to their functionally redundant nature, strategies to target HOX protein function in cancer have focused on their interaction with their PBX cofactor using competitive peptides such as HXR9. HOX/PBX inhibition triggers apoptosis through a sudden increase in target gene expression, including Fos, DUSP1, and ATF3, which are otherwise repressed by HOX/PBX binding. Methods: We analyzed publicly available transcriptomic data in the R2 platform. Results: We show that a specific subgroup of HOX genes is negatively correlated with Fos, DUSP1, and ATF3 expression in prostate cancer, and that this subgroup also shows a strong positive corelation with pathways that support tumour growth, most notably DNA repair and aminoacyl tRNA biosynthesis, and a negative correlation with genes that promote cell adhesion and prevent motility. In addition, this set of HOX genes strongly correlates with patient age, reflecting a previously identified progressive loss of regulation of HOX expression in normal peripheral blood cells. Conclusions: Our findings indicate these HOX genes may have pro-oncogenic functions in prostate cancer.
Keywords:
HOX; PBX; DUSP1; ATF3; HXR9; ageing

1. Introduction

The HOX genes encode a family of transcription factors that have key roles in development [1] and in adult processes that involve the renewal of cells, including the proliferation of haematopoietic stem cells and the subsequent differentiation of blood cell lineages [2]. Central to this is the ability of HOX genes to confer specific identities on cells and tissues, which, combined with their expression in spatial and temporal gradients in the embryo, gives them a key role in embryonic patterning [1].
In addition to their role in development, HOX genes are also significantly deregulated in cancer, and are frequently upregulated in most tumour types [3]. Their role in cancer is primarily pro-oncogenic, based on functional (rather than associative) studies, and includes the promotion of cell survival and proliferation, angiogenesis, metastasis, and immune invasion [3]. A major barrier to targeting HOX proteins is their functional redundancy: the four clusters of vertebrate HOX genes (A, B, C, and D) arose by the duplication of the ancestral HOX cluster found in insects, and paralog genes that share a common ancestor gene (for example, HOXA4, HOXB4, HOXC4, and HOXD4) have high levels of similarity, as do neighbouring genes within clusters (for example HOXB4, HOXB5, and HOXB6). Consequently, multiple HOX proteins must be knocked down or inhibited to result in a phenotypic effect [4]. One solution to this has been to target the interaction between HOX proteins encoded by HOX genes in paralog groups 1 through 10, and their common cofactor, PBX. PBX binding modifies the way in which HOX proteins bind to DNA and can change their intracellular distribution, causing them to relocate to the nucleus. This interaction can be inhibited using a peptide mimic of the conserved hexapeptide region in HOX proteins that mediates binding to PBX. The most frequently used inhibitor peptide, HXR9, contains a polyarginine sequence that facilitates cellular uptake, and has been shown to cause apoptosis in a wide range of solid malignancies [5].
HXR9-induced apoptosis is mediated by the loss of inhibition of three key genes—Fos, Dual Specificity Phosphatase 1 (DUSP1), and Activating Transcription Factor 3 (ATF3), all of which can trigger cell death when expressed at high levels [6,7,8,9,10]. In the case of Fos, this is primarily through the activation of the extracellular canonical apoptotic pathway via an increase in Fas Ligand (FASL) expression [11]. ATF3 also increases apoptosis by stabilising p53, leading to increased BAX expression [12]. DUSP1 inhibits Epidermal Growth Factor Receptor (EGFR) signalling through the dephosphorylation of MEK and ERK, reducing cell proliferation and survival [13]. A key role of HOX genes in cancer thus seems to be the repression of Fos, DUSP1, and ATF3 expression, which in turn inhibits apoptosis, and correspondingly DUSP1 [14] and ATF3 [15] have both previously been identified as potential tumour suppressor genes in prostate cancer, although the role of Fos in this context is less clear.
In this bioinformatic analysis, we have identified HOX genes that show a negative correlation with Fos, DUSP1, and ATF3 expression in prostate tumours. The expression of this subset of HOX genes is also strongly correlated with that of genes involved in DNA repair, metabolism, and motility, indicating that they have additional pro-oncogenic roles. Furthermore, they show a significant increase in tumour expression in older patients, reflecting previous findings that HOX genes become progressively more highly expressed with age in some individuals.

2. Methods

2.1. Microarray Data

The dataset used in this analysis is from the study by Ross-Adams et al., in which 103 samples from men with prostate cancer and 99 matched benign samples were profiled using the Illumina HT12v4 expression array to provide transcriptomic data [16]. The clinical characteristics of this cohort are described in detail elsewhere, but the key clinical parameters included are age at diagnosis (range, 41–93 years), biochemical relapse, clinical stage, Gleason grade, extra capsular extension, positive surgical margins, PSA at diagnosis, and total follow up time (range, 2–67 months). Bead-level data were processed to remove spatial artefacts and then log2-transformed and quantile-normalised. Probes that did not match their intended genomic location or which mapped to genomic areas that were not useful for transcription studies were excluded from the analysis. For validation, the analyses were repeated on a second, independent dataset [17]. This contains transcriptomes from 131 primary prostate tumours, 29 matched normal tissues, and 19 metastases from patients with a mean age of 58 years at diagnosis (range, 37–83 years).

2.2. Data Analysis

Data analysis was performed using the R2 platform (R2: Genomics Analysis and Visualization Platform (http://r2.amc.nl, accessed on 1 July 2025)). In order to generate the HOX_DFA3 gene set, individual gene vs. gene correlations were performed for each of the putative target genes (Fos, DUSP1, and ATF3) with each of the HOX genes in paralog groups 1–10 (30 HOX genes in total) using the “Correlate 2 genes” function, and HOX genes that negatively correlated with one or more of the target genes with p < 0.05 and r < −0.1 were included in the HOX_DFA3 group. For gene set vs. gene set correlations, R2 was used to perform a regression analysis for the mean value of the genes in the HOX_DFA3 gene set against other defined gene sets (KEGG) for each sample, with transformation based on the Z-score. For correlations between the HOX_DFA3 gene set and patient age at diagnosis, the Track (#) vs. Genesets Correlations function was used, again with the Z-score transformation.
For individual HOX genes, we compared expression with specific clinical and pathological criteria using the gene vs. track function and a log2 transformation, using a 1-way ANOVA to test for significance (p < 0.0033, applying the Bonferroni correction to account for the 14 different HOX genes in the HOX_DFA3 gene set).

3. Results

3.1. DUSP1 and FOS Are Both Significantly More Highly Expressed in Benign Prostate Tissue Compared to Tumour Tissue

Given the potential tumour suppressor roles of DUSP1, FOS, and ATF3, we compared the expression of these genes in prostate tumours and benign prostate tissue. This reveals that all three of these genes are expressed more highly in benign tumours (Figure 1), although only significantly so in the case of DUSP1 (p = 2.02 × 10−12) and Fos (p = 1.18 × 10−7).

3.2. A Subset of HOX Genes Negatively Correlate with DUSP1, Fos, and ATF3 Expression

As described above, DUSP1, Fos, and ATF3 are chosen as a starting point because previous studies showed that their upregulation mediated the apoptosis induced by the HOX/PBX antagonist HXR9. Hence, the first part of this study seeks to identify HOX genes that show a negative association with the expression of ATF3 and/or DUSP1 and/or Fos in order to determine a putative set of HOX genes that may be responsible for the cytotoxicity of HXR9. To establish which HOX genes showed an mRNA expression that was negatively correlated with Fos, DUSP1, or ATF3, we compared their individual expression to that of each HOX gene in paralog groups 1–10 through a regression analysis (Table 1), with a cutoff value of p < 0.05 and r < −0.1. This indicates that 14 of the 30 HOX genes in these paralog groups are significantly correlated with the expression of at least one of Fos, DUSP1, or ATF3, and that 5 HOX genes (HOXA10, HOXC4, HOXC6, HOXC9, and HOXD8) are significantly correlated with the expression of all three (Figure 2).
On this basis, we can define a subset of HOX genes which are negatively correlated with DUSP1 and/or Fos and/or ATF3—HOXA6, HOXA9, HOXA10, HOXB3, HOXB5, HOXB6, HOXB7, HOXC4, HOXC5, HOXC6, HOXC9, HOXD1, HOXD3, and HOXD8. For subsequent analyses, these are treated as a single gene set, referred to as DFA3_HOX. We then performed a correlation analysis between DFA3_HOX and DUSP1, Fos, and ATF3 as a single gene set, referred to as DUSP1_FOS_ATF3 subsequently. This reveals a very strong negative association between DFA3_HOX and their putative target genes, DUSP1_FOS_ATF3, with an R-value of −0.469 and a p-value of 2.70 × 10−12 (Figure 3).

3.3. DFA3_HOX Expression Correlates with the Genes Involved in Cell Adhesion, DNA Repair, Cell Metabolism, and Translation

Next, we looked to see if the HOX genes in DFA3_HOX had significant associations with other gene groups in the KEGG pathways of defined cellular processes using an R-value cutoff of <−0.2 and >0.2. This reveals a significant negative correlation with the expression of genes involved in cell adhesion (Figure 4, Supplementary Figure S1), and a significant positive correlation with the expression of genes involved in DNA repair (Figure 5, Supplementary Figure S2), translation (Figure 6, Supplementary Figure S3), and cellular metabolism (Figure 7, Supplementary Figure S4). Amongst these, the strongest correlations were between DFA3_HOX and genes involved in the Fanconi Anemia Pathway (r = 0.407, p = 2.49 × 10−9), base excision repair (r = 0.382, p = 2.48 × 10−8), and aminoacyl tRNA synthesis (r = 0.425, p = 4.02 × 10−10).
In addition to the relationships between gene sets, we looked to see if there was a relationship between the DFA3_HOX gene set and clinical characteristics of the patient cohort. This revealed only one potentially significant positive correlation, which was between DFA_HOX3 expression and patient age at diagnosis, with an R-value of 0.22 and p-value of 0.014 (Figure 8).

3.4. Individual HOX_DFA3 Gene Expression in Tumour vs. Normal Tissue

We also assessed whether any of the individual genes in the HOX_DFA3 gene set showed a significantly different level of expression between normal prostate tissue and tumours, with a cutoff p-value of 0.0033 (applying the Bonferroni correction with respect to the 14 HOX genes in this group). Comparing benign to tumour samples, HOXA6 (p = 4.26 × 10−5), HOXB6 (p = 0.001), HOXC5 (p = 4.69 × 10−5), HOXC6 (p = 3.02 × 10−28), and HOXC9 (p = 0.0001) all showed significantly greater expression in tumour samples, with HOXC6 having by far the greater fold difference (Figure 9). In addition, we performed a heat map analysis for all the HOX genes in HOX_DFA3, which reveals that most normal prostate tissue samples have significantly lower expression of these genes compared to tumour tissue (Supplementary Figure S5).

3.5. Validation with Independent Datasets

To determine whether the findings from our analysis are applicable beyond the Ross-Adams dataset, we repeated the analyses on data from a second, independent study. This second dataset contains transcriptomes from a total of 131 primary prostate tumours, 19 metastases, and 29 normal prostate tissue samples [17]. This revealed similarly significant relationships between HOX_DFA3 and the other gene sets described above (Table 2).

4. Discussion

In this analysis of HOX gene expression in prostate tumours and matched benign tissue, we have identified a subset of 14 HOX genes, DFA3_HOX, the expression of which is negatively correlated with ATF3, DUSP1, and Fos. These three genes have previously been identified as targets of HOX/PBX-mediated transcriptional repression, which in turn is a key survival mechanism in at least some types of cancer cells, as they promote apoptosis through both intrinsic and extrinsic pathways. This strong negative correlation between DFA3_HOX and ATF3, DUSP1, and Fos, therefore, supports the hypothesis based on in vitro data and mouse models that HOX genes have an important role in preventing apoptosis.
Our analysis also revealed that this subset of HOX genes has a strong negative correlation with genes involved in cell adhesion, specifically those that encode proteins in gap, focal adhesion, and adherens junctions. This concurs with previous studies that have shown a relationship between HOX genes and cell migration, and, in particular, with the epithelial to mesenchymal transition (EMT) [3]. Multiple HOX genes are involved in EMT, and there is evidence of redundancy in their function—for example, HOXB7, HOXB8, HOXC8, HOXC10, and HOXD3 all repress E-cadherin expression [18,19,20,21,22,23,24,25], and similarly, HOXB8 and HOXD3 promote N-cadherin expression [20,21,26,27].
The DFA3_HOX genes also show a strong positive correlation with genes involved in pro-oncogenic processes—DNA repair, translation, and cell metabolism. Multiple HOX genes have previously been shown to have roles in DNA repair, for example, HOXB7 directly interacts with components involved in double-stranded break repair (DSB) [28], and HOXB9 [29] and HOXA10 [30] also promote DSB. Conversely, there do not seem to be any previous studies identifying HOX transcription factors as regulators of genes involved in translation and cell metabolism, although the generally reported pro-oncogenic role for HOX genes is consistent with the association reported here [3].
In addition to these associations, we also identified a significant positive correlation between patient age at diagnosis and expression of DFA3_HOX genes with a regression value of 0.22 (p = 0.014). A potential relationship between HOXA9 expression in normal peripheral blood cells and age has previously been reported [31], in which HOXA9 expression was relatively low until the age of 60 years, at which point there was a significant increase in mean expression (p < 0.0001). Subsequent studies have indicated that promoter methylation may play a role in age-related changes in HOX gene expression. For example, HOXA5 (which is considered to have a tumour-suppressor rather than pro-oncogenic role) undergoes increasing promoter methylation with age and a corresponding loss of expression at both the RNA and protein level [32], and in a study of muscle cells from young (27 ± 4.4 years) and old (83 ± 4 years) healthy volunteers, significantly increased methylation of regulatory regions was shown for multiple HOX genes [33].
Taken together, these findings support the previously reported pro-oncogenic role for HOX genes [3], which includes, for the DFA3_HOX subgroup, the suppression of pro-apoptotic genes and genes that inhibit cell movement, and the transcriptional activation of the genes involved in DNA repair, translation, and metabolism. Several of these potential regulatory interactions, especially with respect to translation and metabolism, have not previously been reported, and their mechanistic basis requires further investigation.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/genes16070824/s1, Supplementary Figure S1. Heatmaps for the HOX_DFA3 geneset and KEGG pathways involved in cell adhesion: the adherens junction (a), gap junction (b), focal adhesion (c), and cytokine—cytokine receptor interactions (d). Red boxes below the sample number indicate normal prostate tissue, and green boxes indicate tumour samples. The heatmap colours represent the relative level of expression of each gene (log2 of the Z-score), with blue indicating low expression and red indicating high expression. Supplementary Figure S2. Heatmaps for the HOX_DFA3 geneset and KEGG pathways involved in DNA repair: the Fanconi Anaemia pathway (a), the base excision repair pathway (b), the non-homologous end-joining pathway (c), and the mismatch repair pathway (d). Red boxes below the sample number indicate normal prostate tissue, and green boxes indicate tumour samples. The heatmap colours represent the relative level of expression of each gene (log2 of the Z-score), with blue indicating low expression and red indicating high expression. Supplementary Figure S3. Heatmaps for the HOX_DFA3 geneset and KEGG pathways involved in translation: the aminoacyl tRNA biosynthesis pathway (a), the RNA transport pathway (b), the ribosome pathway (c), and the ribosome biogenesis pathway (d). Red boxes below the sample number indicate normal prostate tissue, and green boxes indicate tumour samples. The heatmap colours represent the relative level of expression of each gene (log2 of the Z-score), with blue indicating low expression and red indicating high expression. Supplementary Figure S4. Heatmaps for the HOX_DFA3 geneset and KEGG pathways involved in cell metabolism: the one-carbon pool by folate pathway (a), the folate biosynthesis pathway (b), the vitamin B6 metabolism pathway (c), and the pyrimidine metabolism pathway (d). Red boxes below the sample number indicate normal prostate tissue, and green boxes indicate tumour samples. The heatmap colours represent the relative level of expression of each gene (log2 of the Z-score), with blue indicating low expression and red indicating high expression. Supplementary Figure S5. Heat map analysis of the genes in the HOX_DFA3 gene set in benign prostate tissue and tumour tissue samples from the Ross-Adams dataset. Red boxes below the sample number indicate normal prostate tissue, and green boxes indicate tumour samples. The heatmap colours represent the relative level of expression of each gene (log2 of the Z-score), with blue indicating low expression and red indicating high expression.

Author Contributions

Writing—original draft, R.M.; Writing—review & editing, C.S. and H.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All of the data is publicly available through the R2 platform (http://r2.amc.nl).

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ATF3, Activating Transcription Factor 3; DSB, double-stranded break repair; DUSP1, Dual Specificity Phosphatase 1; EGFR, Epidermal Growth Factor Receptor; EMT, epithelial to mesenchymal transition; FASL, Fas Ligand

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Figure 1. ATF3, DUSP1, and FOS expression in normal prostate tissue (red) and prostate tumour (green). Data are presented in a box and whiskers plot showing the median (centre of the box), IQR, and range, with each dot representing an individual sample.
Figure 1. ATF3, DUSP1, and FOS expression in normal prostate tissue (red) and prostate tumour (green). Data are presented in a box and whiskers plot showing the median (centre of the box), IQR, and range, with each dot representing an individual sample.
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Genes 16 00824 g002
Figure 2. Venn diagram showing HOX gene expression that significantly negatively correlates with the expression of Fos, DUSP1, and/or ATF3 in the Ross-Adams dataset.
Figure 2. Venn diagram showing HOX gene expression that significantly negatively correlates with the expression of Fos, DUSP1, and/or ATF3 in the Ross-Adams dataset.
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Genes 16 00824 g003
Figure 3. The expression of the DUSP1/Fos/ATF3 gene set shows a significant negative correlation with a subset of HOX genes, DFA3_HOX (r = −0.469, p = 2.70 × 10−12).
Figure 3. The expression of the DUSP1/Fos/ATF3 gene set shows a significant negative correlation with a subset of HOX genes, DFA3_HOX (r = −0.469, p = 2.70 × 10−12).
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Genes 16 00824 g004
Figure 4. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to cell adhesion. Of these, significant negative correlations were found for the genes involved in adherens junctions (r = −0.305, p = 1.17 × 10−5), gap junctions (r = −0.285, p = 4.41 × 10−5), focal adhesion (r = −0.267, p = 1.40 × 10−4), and cytokine–cytokine receptor interactions (r = −0.276, p = 7.80 × 10−5).
Figure 4. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to cell adhesion. Of these, significant negative correlations were found for the genes involved in adherens junctions (r = −0.305, p = 1.17 × 10−5), gap junctions (r = −0.285, p = 4.41 × 10−5), focal adhesion (r = −0.267, p = 1.40 × 10−4), and cytokine–cytokine receptor interactions (r = −0.276, p = 7.80 × 10−5).
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Genes 16 00824 g005
Figure 5. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to DNA repair. Of these, significant positive correlations were found for the genes involved in the Fanconi anaemia pathway (r = 0.407, p = 2.49 × 10−9), base excision repair (r = 0.382, p = 2.48 × 10−8), non-homologous end-joining repair (r = 0.270, p = 1.15 × 10−4), and mismatch repair (r = 0.213, p = 0.00251).
Figure 5. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to DNA repair. Of these, significant positive correlations were found for the genes involved in the Fanconi anaemia pathway (r = 0.407, p = 2.49 × 10−9), base excision repair (r = 0.382, p = 2.48 × 10−8), non-homologous end-joining repair (r = 0.270, p = 1.15 × 10−4), and mismatch repair (r = 0.213, p = 0.00251).
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Genes 16 00824 g006
Figure 6. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to translation. Of these, significant positive correlations were found for the genes involved in aminoacyl tRNA biosynthesis (r = 0.425, p = 4.02 × 10−10), RNA transport (r = 0.228, p = 0.00223), ribosomes (r = 0.204, p = 0.0038), and ribosome biogenesis (r = 0.184, p = 0.00932).
Figure 6. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to translation. Of these, significant positive correlations were found for the genes involved in aminoacyl tRNA biosynthesis (r = 0.425, p = 4.02 × 10−10), RNA transport (r = 0.228, p = 0.00223), ribosomes (r = 0.204, p = 0.0038), and ribosome biogenesis (r = 0.184, p = 0.00932).
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Genes 16 00824 g007
Figure 7. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to metabolism. Of these, significant positive correlations were found for the genes involved in the folate one-carbon pool (r = 0.369, p = 8.36 × 10−8), folate biosynthesis (r = 0.352, p = 3.31 × 10−7), vitamin B6 metabolism (r = 0.350, p = 3.97 × 10−7), and pyrimidine metabolism (r = 0.326, p = 2.60 × 10−6).
Figure 7. Correlation analysis of the HOX genes in DFA3_HOX with gene groups in the KEGG pathways related to metabolism. Of these, significant positive correlations were found for the genes involved in the folate one-carbon pool (r = 0.369, p = 8.36 × 10−8), folate biosynthesis (r = 0.352, p = 3.31 × 10−7), vitamin B6 metabolism (r = 0.350, p = 3.97 × 10−7), and pyrimidine metabolism (r = 0.326, p = 2.60 × 10−6).
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Genes 16 00824 g008
Figure 8. Correlation analysis of the expression of DFA3_HOX genes in prostate tumours with patient age at diagnosis for the prostate cancer expression set, revealing a significant positive association (r = 0.220, p = 0.014).
Figure 8. Correlation analysis of the expression of DFA3_HOX genes in prostate tumours with patient age at diagnosis for the prostate cancer expression set, revealing a significant positive association (r = 0.220, p = 0.014).
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Genes 16 00824 g009
Figure 9. HOXA6, HOXB6, HOXC5, HOXC6, and HOXC9 expression in normal prostate tissue (red) and prostate tumour (green). Data are presented in a box and whiskers plot showing the median (centre of the box), IQR, and range (*, 1-way ANOVA, p < 0.0033).
Figure 9. HOXA6, HOXB6, HOXC5, HOXC6, and HOXC9 expression in normal prostate tissue (red) and prostate tumour (green). Data are presented in a box and whiskers plot showing the median (centre of the box), IQR, and range (*, 1-way ANOVA, p < 0.0033).
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Table 1. HOX genes with a significant negative correlation with Fos, ATF3, and DUSP1 expression in the prostate array data described in the Ross-Adams study.
Table 1. HOX genes with a significant negative correlation with Fos, ATF3, and DUSP1 expression in the prostate array data described in the Ross-Adams study.
ATF3DUSP1Fos
p-ValueR-Valuep-ValueR-Valuep-ValueR-Value
HOXA6--0.00207−0.2170.05−0.139
HOXA90.00135−0.226--0.05−0.133
HOXA100.000383−0.2490.023−0.1610.000436−0.247
HOXB30.03−0.1540.05−0.123--
HOXB50.012−0.1790.000777−0.236--
HOXB6--0.00304−0.2090.037−0.148
HOXB70.041−0.1450.013−0.176--
HOXC40.046−0.1410.00000000273−0.4060.00000785−0.311
HOXC5--0.045−0.1420.05−0.123
HOXC60.024−0.1600.00000000889−0.3940.000000452−0.349
HOXC90.05−0.1380.000134−0.2670.00841−0.186
HOXD10.000151−0.265--0.025−0.159
HOXD30.037−0.1480.000406−0.248--
HOXD80.016−0.1700.00696−0.1910.00885−0.185
Table 2. Testing of associations in an additional, independent dataset. For the dataset used for validation (right-hand column), green indicates a significant association with the same direction of correlation compared to the dataset from the Ross-Adams study. Values in bold indicate a greater R-value and lower p-value than for the Ross-Adams dataset.
Table 2. Testing of associations in an additional, independent dataset. For the dataset used for validation (right-hand column), green indicates a significant association with the same direction of correlation compared to the dataset from the Ross-Adams study. Values in bold indicate a greater R-value and lower p-value than for the Ross-Adams dataset.
Tested Association: HOX_DFA3 vsRoss-Adams (Analysed in This Paper; [16])Taylor [17]
DUSP1_FOS_ATF3r = −0.469, p = 2.70 × 10−12r = −0.232, p = 6.22 × 10−6
Fanconi anaemia pathwayr = 0.407, p = 2.49 × 10−9r = 0.279, p = 4.82 × 10−8
Base excision repairr = 0.382, p = 2.48 × 10−8r = 0.431, p = 3.32 × 10−18
Aminoacyl tRNA synthesisr = 0.425, p = 4.02 × 10−10r = 0.158, p = 0.0023
Pyrimidine metabolismr = 0.326, p = 2.60 × 10−6r = 0.277, p = 6.15 × 10−8
Folate one-carbon poolr = 0.369, p = 8.36 × 10−8r = 0.231, p = 7.02 × 10−6
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Morgan, R.; Smith, C.; Pandha, H. A Subset of HOX Genes Negatively Correlates with HOX/PBX Inhibitor Target Gene Expression and Is Associated with Apoptosis, DNA Repair, and Metabolism in Prostate Cancer. Genes 2025, 16, 824. https://doi.org/10.3390/genes16070824

AMA Style

Morgan R, Smith C, Pandha H. A Subset of HOX Genes Negatively Correlates with HOX/PBX Inhibitor Target Gene Expression and Is Associated with Apoptosis, DNA Repair, and Metabolism in Prostate Cancer. Genes. 2025; 16(7):824. https://doi.org/10.3390/genes16070824

Chicago/Turabian Style

Morgan, Richard, Christopher Smith, and Hardev Pandha. 2025. "A Subset of HOX Genes Negatively Correlates with HOX/PBX Inhibitor Target Gene Expression and Is Associated with Apoptosis, DNA Repair, and Metabolism in Prostate Cancer" Genes 16, no. 7: 824. https://doi.org/10.3390/genes16070824

APA Style

Morgan, R., Smith, C., & Pandha, H. (2025). A Subset of HOX Genes Negatively Correlates with HOX/PBX Inhibitor Target Gene Expression and Is Associated with Apoptosis, DNA Repair, and Metabolism in Prostate Cancer. Genes, 16(7), 824. https://doi.org/10.3390/genes16070824

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