Literature DB >> 25206306

Dysregulation of the homeobox transcription factor gene HOXB13: role in prostate cancer.

Brennan Decker1, Elaine A Ostrander2.   

Abstract

Prostate cancer (PC) is the most common noncutaneous cancer in men, and epidemiological studies suggest that about 40% of PC risk is heritable. Linkage analyses in hereditary PC families have identified multiple putative loci. However, until recently, identification of specific risk alleles has proven elusive. Cooney et al used linkage mapping and segregation analysis to identify a putative risk locus on chromosome 17q21-22. In search of causative variant(s) in genes from the candidate region, a novel, potentially deleterious G84E substitution in homeobox transcription factor gene HOXB13 was observed in multiple hereditary PC families. In follow-up testing, the G84E allele was enriched in cases, especially those with an early diagnosis or positive family history of disease. This finding was replicated by others, confirming HOXB13 as a PC risk gene. The HOXB13 protein plays diverse biological roles in embryonic development and terminally differentiated tissue. In tumor cell lines, HOXB13 participates in a number of biological functions, including coactivation and localization of the androgen receptor and FOXA1. However, no consensus role has emerged and many questions remain. All HOXB13 variants with a proposed role in PC risk are predicted to damage the protein and lie in domains that are highly conserved across species. The G84E variant has the strongest epidemiological support and lies in a highly conserved MEIS protein-binding domain, which binds cofactors required for activation. On the basis of epidemiological and biological data, the G84E variant likely modulates the interaction between the HOXB13 protein and the androgen receptor, as well as affecting FOXA1-mediated transcriptional programming. However, further studies of the mutated protein are required to clarify the mechanisms by which this translates into PC risk.

Entities:  

Keywords:  HOXB13; prostate cancer risk

Year:  2014        PMID: 25206306      PMCID: PMC4157396          DOI: 10.2147/PGPM.S38117

Source DB:  PubMed          Journal:  Pharmgenomics Pers Med        ISSN: 1178-7066


Introduction

Prostate cancer (PC) is the most common noncutaneous cancer in men in the Western world, with about 240,000 new cases diagnosed in 2011.1 Twin studies,2–4 segregation analysis,5–11 and linkage of high-risk or hereditary families all suggest that there are hereditary components to the disease.12–18 However, replication of linkage results has proven difficult, and few high-risk alleles have been conclusively identified. Genome-wide association studies have identified more than 75 common alleles that are also associated with increased PC risk, and although many of these have been validated, each is predicted to make a small contribution to disease risk.19–25 Finally, family-based association studies have contributed additional validated loci.26,27 Despite this enormous amount of work, the greatest challenge remains: how can we accurately and efficiently identify the subset of men who will go on to die of metastatic disease versus those with slow-growing indolent PC? While a variety of approaches have been tested, including linkage analysis of high-risk families using various measures of aggressiveness as the phenotype28–32 and scans based on Gleason grade among family members,33–35 few replicated loci have been identified. Thus, much current research in the field is focused on 1) identifying genetic factors that predispose to any level of disease risk; 2) understanding the tumor biology and genetic factors that contribute to tumor aggressiveness and metastatic progression; and 3) identifying a panel of genetic markers that predict aggressive forms of PC. In 2012, significant progress was made on all of these questions with the discovery of mutations in homeobox transcription factor gene HOXB13 that were associated with both familial and population-based risk. We summarize the state of the field with regard to HOXB13 in the following review.

Initial findings

HOXB13 was identified as a risk factor for PC following a series of studies led by Ewing et al.36 These investigators followed up on their initial findings of linkage in high-risk families at chromosome 17q21-23.37,38 The initial linkage peak was identified in a scan of 175 hereditary pedigrees and was replicated by the International Consortium for Prostate Cancer Genetics, a large collaborative group with more than 2,000 hereditary PC families.39,40 Fine mapping of the region narrowed the focus to chromosome 17q21-22, a region with more than 200 genes in the minimal recombination region.41 With this smaller region identified, the group evaluated the coding sequence of 202 candidate genes in search of potential PC susceptibility alleles or genes.36 Targeted sequencing of the youngest cases in families with evidence of linkage focused attention on the HOXB13 gene, as four of the sequenced families harbored a novel (G84E) substitution that was predicted to be deleterious. In follow-up genotyping, all 18 cases in these four families were observed to carry the mutation. Analysis of a population of 5,083 unrelated individuals with PC suggested a frequency of about 1.4%, compared to 0.1% in 1,401 healthy male controls from the general population. The carrier rate was highest in younger cases who reported a family history of PC (3.1%). Thus, cases from the general population, as well as cases from families with history of PC, were significantly enriched for the G84E variant, with all P<0.001. Interestingly, while the G84E mutation appeared to be the most common risk variant in this initial study, two additional variants, R229G and G216C, were found in African American families. Three individuals in one family segregated a c.685 C>G transversion, which encodes the R229G variant at a highly conserved position. Additional rare variants were found in other families, but G84E was most frequent and most strongly implicated in PC.

HOXB13 findings replicated

The strength of the epidemiological findings and intriguing biological role of HOXB13 generated great interest among PC researchers. Many groups who were underwhelmed by earlier reports of PC candidate risk genes mobilized to replicate these findings. The story was compelling for several reasons. First, the chromosome 17 region that harbors the gene was initially selected for intense study because multiple studies of high-risk PC families had already uncovered evidence for genetic linkage at the locus.41,42 Second, in the data presented by Ewing et al,36 multiple large families faithfully segregated the same mutation, which strengthened the result. The finding was upheld in multiple subsequent studies, and several are described below, as well as in Table 1.
Table 1

HOXB13 risk allele studies cited in this review

StudyStudy designPopulationNumber of subjectsCase carrier frequencyRisk estimate95% CIP-valueComments
Ewing et al36Population-based case–controlUS6,4841.40%OR =20.13.5–803.3<0.001Association with family history, early diagnosis
Stott-Miller et al43Population-based case–controlUS2,5691.30%RR =3.31.2–9.0Association with family history
Lin et al51Population-based case–controlPeople’s Republic of China2,1110.35%0.027G84e allele not observed; alternate risk variant proposed for Chinese population
Karlsson et al48Population-based case–controlSweden9,6964.30%–4.60%RR =3.42.2–5.4<0.001Control population had a carrier rate of 1.3%
Witte44Aggressive disease case–controlUS1,5400.81%OR =4.8*0.01Association with early diagnosis
Ewing36Family-based case–controlUS1,4864.70%OR =68.1<0.001
Witte44Family-based case–controlUS1,1341.89%OR =4.8*0.01Association with early diagnosis
Breyer et al45Family-based case–controlUS1,8581.90%OR =7.91.8–34.50.0062Association with family history
Xu46Family-based case–controlMultiple2,443 families4.60% of familiesOR =4.42.6–7.5<0.00151% of cases from carrier families harbored risk allele
Schroeck et al49Biopsied subjects cohortUS9480.42%G84E variant has low utility at time of diagnostic biopsy
Chen et al50CohortMultiple3,5080.99%RR =2.51.5–4.10.01Allele detected only in Caucasians
MacInnis47Population-based familiesAustralia1,3841.40%RR =16.42.5–107.2Estimated penetrance of 60% by age 80 years

Note:

OR for both sibling and case–control arms.

Abbreviations: CI, confidence interval; OR, odds ratio; RR, relative risk.

Stott-Miller et al43 reported results from a population-based, case–control study of men in western Washington State, where they observed the G84E mutation in 1.3% of cases versus 0.4% of controls, which represents a 3.3-fold higher relative risk in carriers versus noncarriers. The initial finding of a stronger association in the setting of positive family history was also replicated. Furthermore, risk estimates for the variant were also higher among men with higher versus lower Gleason score at diagnosis (odds ratio [OR] =4.13, 95% confidence interval [CI] =1.38–12.38 versus OR =2.71, 95% CI =0.88–8.30) and advanced versus prostate-confined disease.43 While these differences were not statistically significant, they may suggest that HOXB13 G84E is a marker for disease aggressiveness. The same year, Witte et al44 evaluated two cohorts, a family-based study of brothers and a case–control study of 2,665 men with more aggressive disease. In their study, the mutation was detected in 1.47% of cases, in stark contrast with 0.34% among unaffected brothers in the family-based analysis, and there was a complete absence of the variant in controls from the case–control arm.44 Again, the mutation was more common among men with early-onset disease or a positive family history.44 Not surprisingly, given the association with family history, the result has also replicated in family studies. One of the first such studies was an examination of familial PC from Vanderbilt University.45 These investigators genotyped 930 controls without a personal or family history of PC and 928 familial cases, and observed the mutation in 16 of the familial cases versus only two controls (OR =7.9, 95% CI =1.8–34.5). The carrier rate was 1.9% in all probands, but it went up 30% in cases who had ≥3 affected family members.45 The primary result was also confirmed in the much larger International Consortium for Prostate Cancer Genetics study in which investigators genotyped the G84E variant and 14 other single-nucleotide polymorphisms (SNPs) in 2,443 families.46 They showed that at least one mutation carrier was present in 112 families (4.6%) and that within the carrier families, the G84E variant was more common among men with disease than among those without. The mutation was in the same haplotype in the majority (95%) of carriers, strongly suggesting a founder effect. Overall, these findings suggest that nearly 5% of cases from high-risk families carry the G84E mutation. Several reports have addressed penetrance of the allele in addition to risk. An Australian study found that 19 of 1,384 probands (1.4%) carried the G84E mutation. Six of those men had a family history of PC. The age-specific incidence for carriers in Australia was estimated to be 16.4-fold higher (95% CI =2.5–107.2) than expected levels based on birth year. This study also estimated birth year-specific cumulative risk for carriers and found that penetrance was 60% by age 80, which is higher than other estimates.47 By comparison, Karlsson et al48 examined 5,003 cases and 4,693 controls from Sweden and showed that the G84E mutation was present in 1.3% of population controls and 4.6% of cases, providing a strong association with PC risk (OR =3.4, 95% CI =2.2–5.4). Again, the strongest associations were for those with early-onset disease or a positive family history. Among cases aged 35–55 years, the carrier frequency was 10.3% (OR =8.6, 95% CI =5.1–14.0). In this situation, the investigators estimated the collective risk of G84E carriers to be 33% by 80 years of age, compared to the 12% risk that was observed in this population among noncarriers.48 The carrier frequency for men undergoing diagnostic biopsy is much lower than that reported in case–control or PC family-based studies. For instance, Schroeck et al49 observed that among 938 biopsied men, the prevalence of the G84E mutation was 0.42%. Three of the four carriers had PC. None of 301 men with a positive family history and one of 226 men diagnosed before age 55 were carriers, yielding an overall prevalence of 0.44% and raising questions about the utility of clinical testing for this variant in this setting.

HOXB13 within and across populations

It is clear that the frequency of the G84E allele varies significantly between populations. In a multinational study of 2,508 subjects from the REDUCE (Reduction by Dutasteride of Prostate Cancer Events) trial, the authors reported that the G84E mutation frequency was 1.06% in biopsy-negative men from Northern Europe, followed by 0.60% and 0.31% in Europe and North America, respectively.50 No carriers were observed among populations from a variety of other regions, including southern and eastern Europe, South Africa, Latin America, and Australia.50 In Caucasians alone, the mutation frequency was 0.99% in biopsy-positive men versus 0.24% in controls. All mutation carriers had a common haplotype that was once again indicative of a founder effect.50 Because the G84E risk allele is entirely absent in some populations, some have suggested that other variants may confer risk. Several candidate alleles have been identified in addition to those found in African American families in the initial report by Ewing et al.36 For instance, Lin and colleagues51 studied a cohort of Chinese men and reported that the G84E mutation was not found in their study population. However, a G135E mutation was found twice in 575 cases but not in any of 1,536 controls, a significant difference (P=0.027). However, further epidemiological evidence is required to establish a role for these variants. A consensus is emerging that HOXB13 is a critical player in PC risk. But the mutation is generally rare in most populations. The gene may be more relevant for northern European populations, as well as in individuals with strong family history or early disease onset. Though the gene’s epidemiological role is becoming clearer, the mechanism by which the G84E allele confers risk remains a crucial question.

The homeobox gene family

HOXB13 is a member of the homeobox (HOX) gene family, which is a large group of clustered, paralogous transcription factors that are crucial for embryonic development along the anterior–posterior axis.52 HOX genes are defined by a characteristic 180-base sequence called the homeobox, which encodes a helix–turn–helix protein motif that mediates binding to enhancer DNA sequences.52 HOX genes are further distinguished by collinearity, an incompletely understood phenomenon in which genes in an HOX cluster are sequentially expressed along the anteroposterior axis, ie, upstream genes are expressed in anterior segments, and downstream genes are expressed in posterior segments (see Figure 1).52
Figure 1

The genomic architecture of HOX genes and schematic of gene expression in embryonic development.

Notes: (A) Humans have four clusters of HOX genes on different chromosomes, labeled Cluster A through Cluster D. Each cluster comprises a variable subset of the 13 homology-based HOX gene subtypes. The relative order of the subtypes is preserved across clusters. This conserved ordering is attributed to the genomic duplication-based mechanism by which the clusters arose. (B) During embryonic development, HOX genes are expressed sequentially in partially overlapping zones along the anterior-posterior axis, a phenomenon called collinearity. Accordingly, HOX13 paralogs, including HOXB13, are expressed in posterior regions of the embryo and direct development of the spinal cord, digestive tract, and urogenital system.

Abbreviation: HOX, homeobox gene.

Function of HOX genes

HOX genes play many roles in both embryonic development and differentiated tissues. Much of this functional diversity is explained by the large size of the HOX gene family, tightly regulated spatial and temporal expression patterns, and slight variations in homeodomain sequences that result in specificity for different enhancer DNA sequences.52 The number of HOX genes, as well as the number of HOX gene clusters, varies widely across phyla.53 Genomic amplification and evolutionary divergence have yielded paralogous HOX gene homology subtypes that are defined by sequence similarity of the homeobox sequence.53 In addition, larger genomic events have led to amplification of entire HOX gene clusters, whereas subsequent losses have resulted in clusters that contain only a subset of the homology subtypes.53 Together, the increase in number of genes and clusters allows HOX genes to play many diverse roles. In spite of this variability, the fundamental mechanism of HOX-mediated anterior–posterior patterning is highly conserved across species, which manifests in vertebrates as typical clustered genomic architecture and collinear pattern of expression, but most importantly as extensive coding sequence homology, especially of the characteristic homeobox domain.52

Organization of human HOX genes

Like all tetrapods, humans have four HOX clusters, labeled A–D. Each cluster consists of 9–11 genes that are a subset of the 13 HOX subtypes (Figure 1A). All four clusters have a HOX13 paralog, and these genes are the furthest downstream constituents of each cluster. As predicted by the collinearity principle of HOX genes, HOX13 paralogs are expressed in the most posterior segments of the developing embryo. In 1996, Zeltser et al54 identified a novel gene about 70 kb downstream of the other known HOXB cluster constituents on chromosome 17. Due to high homeodomain sequence identity with HOX13 paralogs A, C, and D, it was dubbed HOXB13.54 In accordance with the principle of collinearity, this downstream position yields HOXB13 expression in posterior structures, where it plays a role in the development of the spinal cord, digestive tract, and urogenital system, including the prostate.54,55

Role of HOXB13

Early studies in mice clarified the role of HOXB13 in normal development and tissue function. Sreenath, et al55 used Northern blotting and in situ hybridization to confirm that murine HOXB13 is expressed during posterior segment development. By sampling these tissues at multiple developmental time points, they found that the HOXB13 transcript appears early in posterior organogenesis, and that expression persists into adulthood in distal colon tissues, as well as in an androgen-independent manner in all four lobes of the murine prostate.55 Murine knockout studies conducted by Economides and Capecchi56 demonstrated that the HOX13 paralogs HOXB13 and HOXD13 apparently cooperate in normal prostate development, as double-knockout mice had malformed ducts with severe truncations and branching defects. However, mice homozygous for homeobox domain-damaging mutations in HOXB13 exhibited multiple structural and functional defects of the secretory cells in the murine ventral prostate, suggesting that HOXB13 is the crucial mediator of terminal differentiation in these cells.56 Examination of seminal fluid from knockout mice showed no evidence of characteristic ventral prostate secretory proteins such as the kazal-type protease inhibitor p12 or the spermine binding protein p25.56 Furthermore, histopathological examination of the ducts revealed cuboid rather than the normal columnar epithelial cell morphology, accompanied by loss of polarity evidenced by CD44 expression; both of these features are consistent with precancerous and neoplastic lesions.56 Additional explorations have built on these basic clues about the gene’s biological role, and mounting evidence suggests that the gene might play a complex-but-plausible role in the carcinogenesis of prostate tumors. The earliest studies focused on the role of HOXB13 in growth regulation via androgen receptor (AR) signaling or cell cycle regulation, but more-recent studies have highlighted many additional roles in PC oncogenesis. However, the picture remains clouded by incongruous results.

HOXB13 and prostate cancer

Overexpression and knockdown studies in PC cell lines have suggested that HOXB13 functions in both normal adult tissue and prostate cancer through the AR, but conflicting findings make it difficult to dissect its physiological role. Jung et al57 showed that HOXB13 was expressed only in cells that also expressed the AR. In their experiments, overexpression of the gene inhibited growth of PC cell lines, which was associated with a dose-dependent disruption of stimulatory AR signaling, as assayed by expression of downstream reporter genes.57 In contrast, Norris et al58 found that HOXB13 knockdown via RNA interference inhibited prostate cellline growth. Under HOXB13 knockdown conditions, they observed repressed transcription of some androgen-regulated genes, but found that HOXB13 acted as an obligate coactivator for expression of others by modulating recruitment of AR and other coregulators to target sequences.58 These authors used a yeast two-hybrid assay and fluorescence resonance energy transfer to confirm that the homeodomain of HOXB13 physically interacts with the AR.58 Intriguingly, Kim et al59 observed that in the setting of AR expression, the HOXB13 transcript repressed the cell cycle, whereas HOXB13 exerted a stimulatory effect on the cell cycle when AR was absent. Indeed, in AR-negative cells, increased HOXB13 expression promoted growth via inhibition of the tumor suppressor p21 and resultant activation of RB-E2F signaling.59 The authors speculated that this role for HOXB13 may help explain persistent growth of androgen-independent tumors.59 These findings may also shed light on the conflicting results of expression studies. One possibility is that heterogeneity between PC cell lines results in context-specific response to HOXB13 perturbations, as noted in the presence versus absence of the AR. In addition, HOXB13, like other HOX genes in other tissues, has been linked to cell-cycle regulation pathways that are important in PC. Jung et al60 found that overexpressed HOXB13 in PC cell lines inhibited the transcription factor T-cell factor 4. Removal of this pro-cell division signal induced arrested growth at the G1 phase due to suppressed expression of the key cell-cycle regulators cyclin D1 and c-myc.60 Building on these results, Hamid et al61 explored the effects of HOXB13 overexpression and knockdown on the cell cycle. They also noted overexpression-induced arrest at the G1 phase and associated ubiquitination and degradation of cyclin D1, as well as decreased activation of the stimulatory RB protein.61 In contrast, knockdown resulted in upregulation of cyclins, increased activation of RB, and more-rapid cell growth.61 HOXB13 has been tied to PC biology in several other ways. McMullin et al,62 for example, showed that the expression of HOXB13 itself is regulated by FOXA1, a transcription factor with prostate-specific effects on expression that has been tied to many aspects of prostate biology and tumor development. The gene has also been linked to PC risk loci identified in genome-wide association studies. For instance, Huang and Cai63 recently found that the risk allele for rs339331 at chromosome 6q22 enhances the binding of HOXB13, AR, and FOXA1 to the promoter for the RFX6 gene, which stimulates tumor progression and aggressiveness. Since HOXB13 plays many roles in adult prostate tumors, it is likely that it interacts with additional risk loci. It is furthermore probable that the HOXB13 G84E risk allele modulates these interactions, although these effects have not yet been rigorously investigated. Epigenetic modifications that alter HOXB13 expression may also be important in PC. In AR-negative tumor cell lines, Ren et al64 found that histone modifications prevented expression of HOXB13. In these cells, transcription factor YY1 recruited the suppressive histone deacetylase HDAC4 to the HOXB13 promoter.64 However, administration of the histone deacetylase inhibitor sodium butyrate suppressed repressive histone modifications and resulted in a dramatic increase in HOXB13 and concomitant inhibition of cell proliferation.64 Liu et al65 noted a similar effect in which all-trans retinoic acid increased HOXB13 expression and decreased cell growth via histone methylation modifications mediated by EZH2 and DNMT3b. HOXB13 may be involved in castration resistance and metastasis of PC, as well. In another study of androgen-independent prostate cell lines, the gene potently stimulated tumor invasion and metastasis by decreasing intracellular zinc concentrations, and resulted in increased nuclear factor-κB signaling.66 Due to these many roles in prostate tumor biology, HOXB13 expression has been suggested as a biomarker for PC diagnosis or detection of recurrence. In microarray studies, Edwards et al67 found that the gene is ubiquitously expressed in the human prostate but significantly overexpressed in prostate tumor tissue versus normal prostate and noncancerous samples from other lineages. This differential expression was confirmed via reverse-transcription polymerase chain reaction in 37 primary prostate tumor specimens versus 16 adjacent normal samples plus four subjects without evidence of malignancy.67 Kim and colleagues also detected overexpression, but only in castration-resistant tumors.59 In an explicit evaluation of HOXB13 as a PC biomarker in 57 human PC tumors, Jeong et al68 saw a positive correlation between expression and Gleason grade, as well as with preoperative prostate-specific antigen measurements. Furthermore, four subjects with tumors refractory to androgen deprivation had very high expression of the gene.68 All of these results have led to speculation that HOXB13 or other related markers might have utility in screening or diagnostic testing.

HOXB13 in other tumors

Reports of HOXB13 function in malignancies of other tissues are similarly contradictory. Because expression of the gene is maintained in the adult distal colon, it is perhaps unsurprising that the gene has been implicated in colon cancer. In colorectal cell lines, HOXB13 expression seems to inhibit growth by some of the same mechanisms observed in prostate tumors, namely suppression of TCF4 and c-myc expression.69 The gene may similarly act as a tumor suppressor in renal cell carcinoma.70 However, although the gene has been investigated in tumors of the endometrium, ovaries, cervix, and breast, its role in these malignancies is less clear.70–73 In breast cancer cell lines, for example, Ma et al74 noted that ectopic expression of HOXB13 promoted tumor cell motility and invasion. Furthermore, the ratio of HOXB13:IL17BR expression predicted clinical response to tamoxifen, and a subsequent study found that HOXB13 causes tamoxifen resistance via modulation of ERα and IL-6 expression.74–76

The role of HOXB13 G84E in prostate cancer risk

The HOXB13 G84E variant, as well as other, rarer potential risk alleles in the gene, are computationally predicted to impair the structure or function of the encoded protein. The variants fall in domains that are highly conserved across species.36 The G84E variant lies in a domain that binds MEIS proteins, which are critical coactivators of HOX gene binding that modulate target specificity and downstream expression.77 Other, less-proven potential risk alleles, including two found only in patients of African descent, lie in the highly conserved homeobox domain.36 It is difficult to fully assess the mechanistic underpinnings of PC risk variants in HOXB13, because it is not even certain whether the gene acts as a tumor suppressor or oncogene. These contradictory results may be attributable to context-specific roles for HOXB13, including the polar opposite effects of HOXB13 on the cell cycle in the presence versus the absence of the AR, as noted by Kim et al.59 The original report on G84E noted the conflicts in the literature and suggested that the variant may induce a gain of function, since both inherited and acquired truncating mutations are absent.36 However, inherited truncating mutations may not be evolutionarily tolerated due to the critical role of HOXB13 in embryonic development. Furthermore, some other cancer risk genes, including BRCA1, are not commonly somatically mutated. It is clear that the HOXB13 gene plays a complex and crucial role in many pathways implicated in PC oncogenesis, progression, and metastasis. HOXB13 is preferentially recruited to the risk allele of an established PC-associated SNP, enhancing expression of RFX6, which is a driver of prostate cancer cell migration and a predictor of disease progression.63 To better understand the role of the gene in PC risk, future research must clarify its role in normal prostate tissue, as well as AR-positive and AR-negative cancer cell lines. Only then will we be able to piece together the gene’s wide-ranging roles in androgen receptor signaling, cell-cycle regulation, and castration-resistant disease. Finally, studies of HOXB13 function in cell lines with and without the G84E variant will enhance our understanding of PC oncogenesis and progression.
  77 in total

1.  Androgen-independent expression of hoxb-13 in the mouse prostate.

Authors:  T Sreenath; A Orosz; K Fujita; C J Bieberich
Journal:  Prostate       Date:  1999-11-01       Impact factor: 4.104

Review 2.  The genetic epidemiology of cancer: interpreting family and twin studies and their implications for molecular genetic approaches.

Authors:  N Risch
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2001-07       Impact factor: 4.254

3.  Linkage analysis of 153 prostate cancer families over a 30-cM region containing the putative susceptibility locus HPCX.

Authors:  E M Lange; H Chen; K Brierley; E E Perrone; C H Bock; E Gillanders; M E Ray; K A Cooney
Journal:  Clin Cancer Res       Date:  1999-12       Impact factor: 12.531

4.  Segregation analysis of 1,546 prostate cancer families in Finland shows recessive inheritance.

Authors:  Sanna Pakkanen; Agnes B Baffoe-Bonnie; Mika P Matikainen; Pasi A Koivisto; Teuvo L J Tammela; Snehal Deshmukh; Liang Ou; Joan E Bailey-Wilson; Johanna Schleutker
Journal:  Hum Genet       Date:  2007-01-03       Impact factor: 4.132

5.  Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study.

Authors:  Zsofia Kote-Jarai; Ali Amin Al Olama; Graham G Giles; Gianluca Severi; Johanna Schleutker; Maren Weischer; Daniele Campa; Elio Riboli; Tim Key; Henrik Gronberg; David J Hunter; Peter Kraft; Michael J Thun; Sue Ingles; Stephen Chanock; Demetrius Albanes; Richard B Hayes; David E Neal; Freddie C Hamdy; Jenny L Donovan; Paul Pharoah; Fredrick Schumacher; Brian E Henderson; Janet L Stanford; Elaine A Ostrander; Karina Dalsgaard Sorensen; Thilo Dörk; Gerald Andriole; Joanne L Dickinson; Cezary Cybulski; Jan Lubinski; Amanda Spurdle; Judith A Clements; Suzanne Chambers; Joanne Aitken; R A Frank Gardiner; Stephen N Thibodeau; Dan Schaid; Esther M John; Christiane Maier; Walther Vogel; Kathleen A Cooney; Jong Y Park; Lisa Cannon-Albright; Hermann Brenner; Tomonori Habuchi; Hong-Wei Zhang; Yong-Jie Lu; Radka Kaneva; Ken Muir; Sara Benlloch; Daniel A Leongamornlert; Edward J Saunders; Malgorzata Tymrakiewicz; Nadiya Mahmud; Michelle Guy; Lynne T O'Brien; Rosemary A Wilkinson; Amanda L Hall; Emma J Sawyer; Tokhir Dadaev; Jonathan Morrison; David P Dearnaley; Alan Horwich; Robert A Huddart; Vincent S Khoo; Christopher C Parker; Nicholas Van As; Christopher J Woodhouse; Alan Thompson; Tim Christmas; Chris Ogden; Colin S Cooper; Aritaya Lophatonanon; Melissa C Southey; John L Hopper; Dallas R English; Tiina Wahlfors; Teuvo L J Tammela; Peter Klarskov; Børge G Nordestgaard; M Andreas Røder; Anne Tybjærg-Hansen; Stig E Bojesen; Ruth Travis; Federico Canzian; Rudolf Kaaks; Fredrik Wiklund; Markus Aly; Sara Lindstrom; W Ryan Diver; Susan Gapstur; Mariana C Stern; Roman Corral; Jarmo Virtamo; Angela Cox; Christopher A Haiman; Loic Le Marchand; Liesel Fitzgerald; Suzanne Kolb; Erika M Kwon; Danielle M Karyadi; Torben Falck Orntoft; Michael Borre; Andreas Meyer; Jürgen Serth; Meredith Yeager; Sonja I Berndt; James R Marthick; Briony Patterson; Dominika Wokolorczyk; Jyotsna Batra; Felicity Lose; Shannon K McDonnell; Amit D Joshi; Ahva Shahabi; Antje E Rinckleb; Ana Ray; Thomas A Sellers; Hui-Yi Lin; Robert A Stephenson; James Farnham; Heiko Muller; Dietrich Rothenbacher; Norihiko Tsuchiya; Shintaro Narita; Guang-Wen Cao; Chavdar Slavov; Vanio Mitev; Douglas F Easton; Rosalind A Eeles
Journal:  Nat Genet       Date:  2011-07-10       Impact factor: 38.330

6.  Prostate cancer and genetic susceptibility: a genome scan incorporating disease aggressiveness.

Authors:  Janet L Stanford; Shannon K McDonnell; Danielle M Friedrichsen; Erin E Carlson; Suzanne Kolb; Kerry Deutsch; Marta Janer; Lee Hood; Elaine A Ostrander; Daniel J Schaid
Journal:  Prostate       Date:  2006-02-15       Impact factor: 4.104

7.  HOXB homeobox gene expression in cervical carcinoma.

Authors:  R López; E Garrido; P Piña; A Hidalgo; M Lazos; R Ochoa; M Salcedo
Journal:  Int J Gynecol Cancer       Date:  2006 Jan-Feb       Impact factor: 3.437

8.  Evaluation of HOXB13 as a molecular marker of recurrent prostate cancer.

Authors:  Tae-O Jeong; Kyung-Jin Oh; Nguyen Thi Xuan Nguyen; Young-Rang Kim; Min Soo Kim; Sang Don Lee; Soo Bang Ryu; Chaeyong Jung
Journal:  Mol Med Rep       Date:  2012-01-30       Impact factor: 2.952

9.  ATRA inhibits the proliferation of DU145 prostate cancer cells through reducing the methylation level of HOXB13 gene.

Authors:  Zhiwei Liu; Guoling Ren; Chenyan Shangguan; Lijing Guo; Zhixiong Dong; Yueyang Li; Weina Zhang; Li Zhao; Pingfu Hou; Yu Zhang; Xiuli Wang; Jun Lu; Baiqu Huang
Journal:  PLoS One       Date:  2012-07-13       Impact factor: 3.240

10.  HOXB13 is downregulated in colorectal cancer to confer TCF4-mediated transactivation.

Authors:  C Jung; R-S Kim; H Zhang; S-J Lee; H Sheng; P J Loehrer; T A Gardner; M-H Jeng; C Kao
Journal:  Br J Cancer       Date:  2005-06-20       Impact factor: 7.640

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  11 in total

1.  HOXB13 expression and promoter methylation as a candidate biomarker in gastric cancer.

Authors:  Bai-Qiang Sui; Chun-Dong Zhang; Ji-Chao Liu; Lei Wang; Dong-Qiu Dai
Journal:  Oncol Lett       Date:  2018-03-29       Impact factor: 2.967

Review 2.  Androgen Signaling in Prostate Cancer.

Authors:  Charles Dai; Hannelore Heemers; Nima Sharifi
Journal:  Cold Spring Harb Perspect Med       Date:  2017-09-01       Impact factor: 6.915

3.  Overexpression of homeobox B-13 correlates with angiogenesis, aberrant expression of EMT markers, aggressive characteristics and poor prognosis in pancreatic carcinoma.

Authors:  Lu-Lu Zhai; Yang Wu; Chong-Yang Cai; Zhi-Gang Tang
Journal:  Int J Clin Exp Pathol       Date:  2015-06-01

4.  HOXB13 and ALX4 induce SLUG expression for the promotion of EMT and cell invasion in ovarian cancer cells.

Authors:  Hong Yuan; Hiroaki Kajiyama; Satoko Ito; Dan Chen; Kiyosumi Shibata; Michinari Hamaguchi; Fumitaka Kikkawa; Takeshi Senga
Journal:  Oncotarget       Date:  2015-05-30

5.  Whole exome sequencing in 75 high-risk families with validation and replication in independent case-control studies identifies TANGO2, OR5H14, and CHAD as new prostate cancer susceptibility genes.

Authors:  Danielle M Karyadi; Milan S Geybels; Eric Karlins; Brennan Decker; Laura McIntosh; Amy Hutchinson; Suzanne Kolb; Shannon K McDonnell; Belynda Hicks; Sumit Middha; Liesel M FitzGerald; Melissa S DeRycke; Meredith Yeager; Daniel J Schaid; Stephen J Chanock; Stephen N Thibodeau; Sonja I Berndt; Janet L Stanford; Elaine A Ostrander
Journal:  Oncotarget       Date:  2017-01-03

6.  Homeobox B13 G84E Mutation and Prostate Cancer Risk.

Authors:  Tommy Nyberg; Koveela Govindasami; Goska Leslie; Tokhir Dadaev; Elizabeth Bancroft; Holly Ni Raghallaigh; Mark N Brook; Nafisa Hussain; Diana Keating; Andrew Lee; Romayne McMahon; Angela Morgan; Andrea Mullen; Andrea Osborne; Reshma Rageevakumar; Zsofia Kote-Jarai; Rosalind Eeles; Antonis C Antoniou
Journal:  Eur Urol       Date:  2018-12-08       Impact factor: 20.096

7.  Oncogenic and tumor suppressor function of MEIS and associated factors.

Authors:  Birkan Gİrgİn; Medine KaradaĞ-Alpaslan; Fatih KocabaŞ
Journal:  Turk J Biol       Date:  2020-12-14

8.  Identification of Tumor Tissue of Origin with RNA-Seq Data and Using Gradient Boosting Strategy.

Authors:  Ruixi Li; Bo Liao; Bo Wang; Chan Dai; Xin Liang; Geng Tian; Fangxiang Wu
Journal:  Biomed Res Int       Date:  2021-02-17       Impact factor: 3.411

Review 9.  Epidemiology and genomics of prostate cancer in Asian men.

Authors:  Yao Zhu; Miao Mo; Yu Wei; Junlong Wu; Jian Pan; Stephen J Freedland; Ying Zheng; Dingwei Ye
Journal:  Nat Rev Urol       Date:  2021-03-10       Impact factor: 14.432

10.  An Evaluation of Active Learning Causal Discovery Methods for Reverse-Engineering Local Causal Pathways of Gene Regulation.

Authors:  Sisi Ma; Patrick Kemmeren; Constantin F Aliferis; Alexander Statnikov
Journal:  Sci Rep       Date:  2016-03-04       Impact factor: 4.379

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