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Review

Histopathologic, Genetic and Molecular Characterization of Endometrial Cancer Racial Disparity

by
Pouya Javadian
1,*,
Christina Washington
1,
Shylet Mukasa
2 and
Doris Mangiaracina Benbrook
1,*
1
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
2
Arkansas College of Osteopathic Medicine, Fort Smith, AR 72916, USA
*
Authors to whom correspondence should be addressed.
Cancers 2021, 13(8), 1900; https://doi.org/10.3390/cancers13081900
Submission received: 30 January 2021 / Revised: 30 March 2021 / Accepted: 12 April 2021 / Published: 15 April 2021

Abstract

:

Simple Summary

Black patients are diagnosed and die earlier of endometrial cancer in comparison with their White counterparts. Factors that have been implicated in this racial disparity, such as socioeconomic status, increased frequencies of more aggressive tumor histology, and comorbid conditions, do not account for all of the disparity. Molecular defects in the endometrial tumors likely also contribute to the more aggressive tumor biology and the patient disparities. In this study, we reviewed the published data of molecular characteristics of endometrial cancer in different races. The majority of the publications compare Black and White patients, and identify molecules and pathways that can be targeted with existing drugs. These findings encourage molecular profile studies comparing additional races and ethnicities, and development of race-specific treatments.

Abstract

In contrast to the decline in incidence and mortality of most other cancers, these rates are rising for endometrial cancer. Black women with endometrial cancer have earlier diagnosis, more aggressive histology, advanced stage and worse outcomes compared with their White counterparts. Socioeconomic status, a higher incidence of aggressive histology, and comorbid conditions are known factors leading to racial disparity in patients with endometrial cancer; nevertheless, they do not account for the entire racial disparity; which emphasizes the roles of molecular, histopathological and genetic factors. We performed a comprehensive review of all published scientific literature up to January 2021 reporting histopathologic, genetic and molecular factors associated with racial disparities in patients with endometrial cancer. The interactions and pathways of molecules reported to have significant differential expression in endometrial cancers from Black and White patients were identified with Ingenuity Pathway Analysis. The majority of studies compared Black and White patients; however, limited data are available for other racial and ethnic groups. Reported differences that could account for the worse survival of Black endometrial cancer patients include more aggressive histopathologies and molecular alterations, including upregulation of molecules driving cell cycle progression, and p53 and HER2/NEU signaling. Several of these molecules are targeted by existing pharmaceuticals. These findings encourage further study and the development of race-specific treatment strategies.

1. Introduction

Racial disparity remains the major factor affecting survival in patients with endometrial cancer in the US. Although the incidence of endometrial cancer has been reduced by 30% among Black patients, the mortality of endometrial cancer is 2.5 times higher in comparison with White patients [1]. This represents one of the largest racial disparities in mortality among common cancers [2]. The incidence of uterine cancers has continued to rise over time, while poorer survival continues to be reported among Black patients [3], even after adjusting for hysterectomy [4]. The contributions of socioeconomic factors to endometrial cancer racial disparities have been reviewed elsewhere [5,6].
A tumor’s genetic profile has been shown to play an important role in targeted therapy and chemotherapy regimens. The landmark paper by the Cancer Genome Atlas (TCGA) in 2013 described four molecular classes of endometrial cancer based on comprehensive and integrated molecular profiling [7]. This molecular profiling showed prominent prognostic advantages and opened the new era of clinic-pathological risk assessment in endometrial cancer patients. Based on the TCGA model, endometrial cancer is classified into four different molecular subgroups including: (1) the group with DNA polymerase epsilon, catalytic subunit mutated (POLE) mutations and its corresponding ‘ultramutated’ phenotype (POLEmut) (pathogenic mutations in the exonuclease domain of POLE in this subgroup are associated with favorable outcomes even with high-grade tumors [8,9,10]); (2) the microsatellite instability (MSI) group, which shows an intermediate prognosis; (3) copy-number low (CN low) and (4) copy-number high (CN high), which are substantially related to high-grade serous cancers and poor prognosis. The first three subgroups are known to have few copy number alterations and few TP53 mutations. It has been shown that they have more frequent mutations in Phosphatase and Tensin Homolog (PTEN), Catenin Beta 1 (CTNNB1), AT-Rich Interaction Domain 1A (ARID1A), ARID5B, and KRAS. Comparatively, Group 4, comprising 94% of uterine serous carcinomas (USCs), which represent the most aggressive histologic type, and 12% of endometrial adenocarcinomas, demonstrated extensive copy number alterations of the oncogenes MYC, Erb-B2 Receptor Tyrosine Kinase 2 (ERBB2) and cyclin E1 (CCNE1), and frequent TP53 mutations [7].
The randomized Adjuvant Chemoradiotherapy Versus Radiotherapy Alone in Women with High-Risk Endometrial Cancer (PORTEC-3) trial compared adjuvant radiation and chemotherapy with radiation alone in patients with high-risk endometrial cancer. They measured p53 and mismatch repair (MMR) proteins with POLE gene sequencing to categorize patients into four molecular subgroups (similar to TCGA) and demonstrated differences in treatment response across groups [11]. They revealed that in those with p53 mutations, combined adjuvant chemotherapy and radiation reduced the 5-year recurrence risk by 50% in comparison with those that received radiation alone. These studies highlight the potential of utilizing molecular profiling to develop individualized treatments that could be applied to address racial disparities.
In this review, we tried to investigate the current body of literature to identify molecular, biological, histopathologic and genetic factors associated with endometrial cancer disparities and identify potential pharmaceutical interventions.

2. Material and Methods

A literature review was performed using PubMed, Medline and the Cochrane Library. We included all the English literature available up to January 2021. We used specific search terms including endometrial cancer, uterus cancer, endometrial, uterine, proteomic profile, proteomic analysis, molecular profile, histology, genetics and genome. These were combined with the terms race or racial or African or Native or Caucasian or White or Asian or Indian or disparity or disparities. We further added more manuscripts which were pointed out in the bibliographies of the studies. We excluded those with duplicate publications, publications where outcomes of interest were not assessed and publications without full text. We further excluded duplicate studies using EndNote software, version X7.0 (Thomson Reuters, New York, NY, USA). Each author participated in the review process by screening the manuscripts for the title and abstract. Those of interest were included in the study by obtaining their full texts. Finally, 93 studies were included in this review, as shown in Figure 1.
The literature was also searched using the names of molecules reported to be differentially expressed in endometrial cancer specimens from Black compared with White patients in search of the molecule’s mechanisms of action and for pharmaceuticals that target these molecules.
The interactions and pathways of molecules identified reported to be differentially present in endometrial cancer specimens in Black compared with White patients were collectively evaluated using Ingenuity Pathway Analysis Software.

3. Results

3.1. Histology, Pathogenic Types and Endometrial Disparity

Endometrial cancers are categorized into different histologic subtypes including: endometrioid (75–80% of patients), USC (<10% of patients), clear cell (<5% of patients) and carcinosarcoma (<5% of patients) [3]. In the early 1980s, Bokhman suggested two pathogenic types of endometrial cancer based on their differences in histology and clinical outcomes. Type I tumors comprise the large majority of endometrial cancers, develop from and are associated with atypical glandular hyperplasia, are related to unopposed estrogen stimulation and are often preceded by endometrial hyperplasia. In a California cancer registry study, White patients were more likely to present with Type I endometrial cancer of Stage 1 disease compared with Black patients (45.8% vs. 34.9%, p = 0.0001) [12].
Type II histological subtypes include predominantly USC, and also clear cell, carcinosarcoma and high-grade endometroid cancer and mixed (typically endometrioid and a high-grade nonendometrioid pattern) [13]. In multiple studies, Black endometrial cancer patients had higher incidences of these aggressive histologic subtypes in comparison with non-Hispanic White patients [12,14,15,16,17,18,19]. Overall, Black patients have the highest incidence of these most aggressive, nonendometrioid histologies of endometrial cancer in the US population (Figure 2) [15].
The etiology of Type II tumors is less clear, as their development is not associated with estrogen exposure and they arise in atrophic endometrium from intraepithelial carcinoma in multiparous, nonobese, mostly older patients. Genetic and environmental factors have been implicated in their development [20]. In general, they are less well differentiated and have worse prognoses than Type I tumors, and they are responsible for a disproportionate number of endometrial cancer deaths. The increased incidence of Type II compared with Type I tumors is consistent with the worse 5-year disease-specific survival of Black (51–57%), compared with White (65–67%), Hispanic (64–69%) and Asian (67–72%) endometrial cancer patients in a California registry study (p < 0.0001) [12,21]. In a Florida registry study, Black endometrial cancer patients had a higher incidence of Type II tumors (57.6%) compared with White (35.6%), Hispanic (37.7%) and Asian (43.0%) endometrial cancer patients, and a 24% high risk of death due to endometrial cancer compared with white patients [21]. A national population-based study of 35,850 young women (<50 years of age) with endometrial cancer found that the young Black patients (3903) had higher mortality compared with the young White patients [19]. Histology alone, however, does not account for the worse survival of Black endometrial cancer patients. A study of data from the Surveillance, Epidemiology and End Results (SEER) program showed that Black in comparison with White patients had worse survival in every histologic category, stratified by stage, grade and age [16,22]. This study also found that rare aggressive tumor types accounted for a higher percentage of the deaths in Black (53%) compared with White (36%) patients.

3.2. Hereditary Cancer and Genetic Predisposition

Short tandem repeats (STRs), also called microsatellites, are short repeated DNA sequences present throughout the genome. The repetitive nature of microsatellite DNA sequences causes increased susceptibility to mutation during DNA replication [23], with a mutation frequency range of 10−6 to 10−2 per generation [24]. DNA mismatch repair (MMR) is a DNA repair pathway that proofreads newly replicated DNA and repairs mutations associated with replication of microsatellites [25]. Changes in the genes responsible for this important pathway could lead to Lynch syndrome; this can happen due to germline mutation in mismatch repair genes (MLH1, MSH2, MSH6 or PMS2) or germline deletion of the 3′ portion of the Epithelial Cell Adhesion Molecule (EPCAM) gene [26]. Moreover, epigenetic alterations, such as DNA methylation in the gene promotor region, can suppress transcription and interfere with the expression of MMR genes [27]. Women with Lynch syndrome have an increased risk of developing endometrial cancer, and at higher and faster rates than their risk for colorectal cancer [28,29]. Currently, there is no evidence that race and ethnicity are associated with an increased frequency of Lynch syndrome. A study of a sample population of 62 Black and 78 White patients diagnosed with Stage III/IV endometrial adenocarcinomas found no racial disparities in the frequency of MSI (Whites, 16%; Blacks, 13%), in the subset with endometrioid histology (Whites, 20%; Blacks, 22%) [30]. Analysis of the TCGA dataset revealed that patients of Asian descent have a higher frequency of somatic mutations of MMR genes in contrast with White or Black groups of patients. Missense mutation is the most prevalent type of mutation in the Asian population and the MMR-associated gene, PMS2, was identified as most significant mutated gene among all other genes in the TCGA dataset (Fisher’s exact test; p = 0.0036) [10].

3.3. Global Profiling to Identify Racial Differences in mRNA Transcripts and Proteins

Publications of global profiling efforts to identify mRNA and proteins that could contribute to racial disparities in endometrial cancer are limited to two studies comparing endometrial cancer specimens in Black and White patients. The molecules identified in these studies are summarized in Table 1. In 2017, Bateman et al. reported on a discovery set of endometrioid endometrial cancer samples from 17 Black and 13 White patients, the results of which were validated using the independent TCGA dataset of endometrioid endometrial cancer patients from 49 Black and 216 White patients [31]. For the discovery set, laser capture was used to specifically harvest cancer cells for isolation of RNA, which was evaluated by whole-transcriptome sequencing, and protein, which was evaluated by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The proteomic analysis identified 94 proteins as being altered between the Black and White groups. Ten of these candidates were reduced in expression at both the RNA and protein levels in cancers from Black compared with White patients (Table 1) [31].
Interestingly, there were no candidates identified with increased expression in Black patients. There were 587 mRNA transcripts that also exhibited altered protein levels, and 89 were validated to be concordant with the TCGA data (Table 1). Three of the ten candidates with altered mRNA and protein in the discovery set (EEF2, JUP and MYO1C) were among these 89. EEF2 was further validated to be decreased in Black endometrial cancer patients (irrespective of histology type) in reverse phase protein array (RPPA) TCGA data. Molecular pathway analysis of the 89 RNA transcripts and 94 proteins altered between groups identified that the Black patients exhibited activation of pathways involved in tumor cell viability, nucleic acid metabolism and counteraction of cell death, and inhibition of pathways involved in regulating viral infection. Multivariate analysis of the 89 RNA transcripts validated in the TCGA data found significant associations with progression-free survival (PFS) for 10 transcripts in White patients, nine transcripts in Black patients, and two transcripts in both White and Black patients (Table 1). A higher prevalence of copy number-high, Cluster 4 and mitotic subtypes was observed in Black compared with White patients with endometrioid histology, and found that specimens from Black patients exhibited higher transcript levels for cell cycle regulatory proteins, PLK1 and BIRC7 (Table 1) [32]. Pathways identified in both of these studies are cell cycle and inhibition of cell death [31,32]. After adjustment of the data based on tumor characteristics, several genes (e.g., serpin family A member 4 (SERPINA4) and blocked early in transport 1 homolog (BET1L)) were still associated with better PFS in White patients only. SERPINA4, a prominent anti-angiogenesis factor, plays an important role in tumor growth inhibition, especially in colorectal cancer. BET1L, a protein receptor that regulates Golgi vesicular membrane trafficking, is associated with an increased chance of uterine fibroids. It has been shown that a change in a single nucleotide polymorphism of the BET1L gene is related to a lower risk of uterine fibroids in European Americans [54]. DNA Ligase 3 (LIG3) was related to improved PFS for White patients but poor PFS for Black patients. LIG3’s expression can increase genome instability and cancer risk, which could lead to greater chance of poor outcomes for Black patients compared with White. Contrarily, family with sequence similarity 228 (FAM228B), was found to be associated with better PFS in Black patients only. [55]
A limitation of these studies is that they did not match the patients in the different racial groups for factors that could affect the aggressiveness of their cancer and their treatment outcomes, such as age, tumor stage and BMI, although they did focus on one histology: endometrioid. Several studies which matched specimens in the different racial groups found no significant transcript differences. No global gene expression differences were found in a microarray study of endometrial cancer specimens from Black women matched in one-to-one, two-to-one and three-to-one ratios with White women for stage, grade and histologic subtype [56]. Similarly, no global gene expression differences were found in a later microarray study of laser micro-dissected endometrial cancer specimens from 25 Black and 25 White patients matched for histology (endometrioid and serous), grade (1A through IVB) and grade (1–3) [57].

3.4. Racial Differences in MicroRNAs

A comparison of laser micro-dissected unmatched Stage I endometrioid endometrial cancer specimens from 41 White and 9 Black patients found no global differences; however, a subset analysis of stage- and histology-matched specimens from nine White and nine Black patients identified alterations in 18 microRNAs (miRNAs) [58]. The miRNA-337-3p was validated by quantitative polymerase chain reaction to be differentially expressed in endometrial cancer specimens but not in normal endometrium from an independent set of 23 White and 24 Black women. Targets of miRNA-337-3p include STAT3, which is upregulated by multiple miRNAs, long noncoding RNAs and circular RNAs, and drives endometrial cancer development, progression and metastasis [59,60,61,62].
Pathway analysis of the SEER program database from 2000 to 2015 in patients classified as European-American or African-American was performed to determine the clinical significance and biologic functions of the differentially expressed miRNAs related to cancer type [22]. They reported that differentially expressed miRNAs were associated with cancer drug resistance pathways through cancer drug efflux for all cancer types including uterine. In order to further elaborate cancer drug resistance, they analyzed DNA methylation and gene expression in different cancer types. The result revealed that 157 genes with dysregulated methylation were associated with uterine/endometrial cancer in African-American patients. They concluded that altered DNA methylation, along with increased microRNA expression levels in African-American patients, is associated with cancer drug resistance in this patient population [22].

3.5. A Targeted Approach to Identifying Racial Differences in Specific Proteins

Another approach to identifying the biological factors responsible for racial disparities are targeted studies that evaluate specific molecular candidates for differential expression and associations with survival between racial groups (Table 1). The most well-characterized candidate is the tumor suppressor TP53 gene, which is the most commonly mutated gene in all cancer types. TP53 mutations typically are either p53 null, which causes p53 protein truncation or loss of expression, and missense point mutations, which cause overexpression and oncogenic gain-of-function of the p53 protein. In patients with endometrial cancer, p53 overexpression has been shown to be related to aggressive tumor characteristics, including lymph node metastases, poor differentiation and deep myometrial invasion [63,64]. Several studies found a higher expression of p53 protein in endometrial cancer specimens from Black in comparison with White patients [65,66]. In Black patients with endometrial cancer, a higher frequency of p53 overexpression increased the chance of Type II cancer in this patient population [66]. The rate of p53 overexpression in patients with Type I cancer was not different between the two ethnic groups [66]. The rate of p53 overexpression observed in endometrial cancers from White patients was similar to the rate observed in Japanese patients reported by the same research group [67,68].
Loss of tumor suppressor PTEN protein expression is common in endometrial glands associated with hyperplasia and cancer [69]. The PTEN tumor suppressor gene encodes a phosphatase that inhibits proliferation by opposing the activity of oncogenic kinases, such as those involved in the AKT/PIC-3A pathway. Inactivating PTEN gene mutations have been reported in 55% of precancers and 83% of endometrioid endometrial cancers; however, validation studies found PTEN loss to have limited prognostic value for the progression of endometrial hyperplasia or endometrial intraepithelial neoplasia (EIN) pre-cancers to cancer [70,71]. In a DNA sequencing study of 78 White and 62 Black unmatched Stage III/IV frozen endometrial adenocarcinoma specimens, specimens from Black patients had significantly fewer PTEN mutations (5%) in comparison with specimens from White patients (22%) [30]. Cancer cells with PTEN expression have been shown to have a more favorable response to chemotherapy; however, overexpression of miR-130a may upregulate the proliferation of chemo-resistant cancer cells by inhibiting PTEN expression and, consequently, activation of the PI3 K/AKT signal pathway that increases BCL-2 expression to decrease tumor cell apoptosis [72].
Black individuals were noted to have higher frequencies of germline single nucleotide polymorphisms (SNPs) in PTEN genes compared with matched White individuals with European ancestry [73]. A strong co-existence of PIK3CA and PTEN mutations was observed in the British South Asian group in comparison with the British White group. The correlation between PIK3CA and PTEN has also been reported previously in endometrial cancer in a cohort of cases from Japan [74]. PTEN mutations are associated with favorable prognosis in endometrial cancer patients [75]. Cancer cells with PTEN expression have been shown to have a more favorable response to chemotherapy; however, overexpression of miR-130a may upregulate the proliferation of chemo-resistant cancer cells by inhibiting PTEN expression and, consequently, activation of the PI3 K/AKT signal pathway that increases BCL-2 expression to decrease tumor cell apoptosis.
Targeted studies of vascular endothelial growth factor (VEGF), Ki-67 and hypoxia inducible factor-1α (HIF-1α) expression found no differences in endometrial cancer specimens from Black and White patients [66].
Morrison et al. reported that HER2 is an important prognostic factor in high-risk endometrial cancer. They showed a trend for a higher rate of HER2 expression (33%) among Black patients in contrast to White patients (13%) [76]. Furthermore, it has been reported that HER2 is more frequently upregulated in endometrial cancers from Black women [18]. A study of USC specimens from 10 Black and 17 White patients (not matched) demonstrated higher HER2/neu levels in Black compared with White patients, and the association of high HER2/neu expression with worse USC patient outcomes in both races [77].
Phosphoserine phosphatase like (PSPHL) was initially identified as an upregulated gene in the fibroblasts of patients with Fanconi anemia. Higher PSPHL expression levels have been reported in Black patients with different types of cancer compared with White patients. [78,79]. Although global differences in the transcripts expressed by genes were not evident between Black and White endometrial cancer patients, a subset of significantly differentially expressed PSPHL transcripts was observed, which was validated by quantitative real-time PCR. PSPHL was found to be prominently expressed in endometrial cancer specimens from Black women, and the group cloned an additional splice variant that was also preferentially expressed in Black women [80].
High insulin growth factor 2 (IGF2) expression is associated with chemotherapy resistance and is a candidate factor that could contribute to the worse treatment responses of Black compared with White patients with USC. Immunohistochemical analysis of 103 USC specimens found a higher IGF2 expression in Black compared with White patients, and a race-stratified multivariate analysis found that high IGF2 expression in the epithelial component of the tumors more than doubled the risk of death in Black women [81].

3.6. Pathway Analysis of Racial Differences in mRNA and Proteins

We conducted an Ingenuity analysis to identify associations between proteins exhibiting altered expression in endometrial cancer specimens from Black compared with White patients and that were also prognostically significant in Black patients (Figure 3). The analysis demonstrated that p53 transcription factor increases the expression of PTEN, HER2/NEU and IGF2, proteins which also are known to interact with each other. The missense p53 mutations that can cause p53 protein overexpression, however, often alter the profiles of the genes regulated by p53. HER2/NEU is an indirect upstream regulator of IGF2, LIG3 and PBX1, and IGF2 regulates PTEN expression.
Analysis of all of the molecules listed in Table 1 confirmed the significant association of molecules differentially expressed in Blacks with the cell cycle regulation pathway and showed pathway associations among the cell cycle regulatory proteins along with EEF2, HER2/NEU, FGFR3 MCM2/7 and BRCA2 (Figure 4).

3.7. Race-Based Treatment and Outcome

A growing body of evidence suggests that targeted therapies have an improved capacity for improving cancer patient outcomes with less toxicity compared with chemotherapy [82,83]. Despite encouraging outcomes for these new therapies, the participation of minorities in clinical trials remains low. Specifically, Black patients are underrepresented in federally-funded clinical trials [12]. This represents a highly significant issue, especially given the fact that Black women experience worse outcomes compared with White women with the same disease. A gynecologic oncology group study of patients receiving treatment for advanced endometrial cancer in clinical trials found that 169 Black patients experienced 20% worse survival compared with 982 White patients, even though the participants received uniform care [84]. The disparity remained when the researchers controlled for socioeconomic status and tumor stage, grade and histology. Further investigation demonstrated that Black patients experienced lesser responses to chemotherapy regimens consistently across several clinical studies. Taken together, these findings suggest that there are potential molecular and biological components contributing to the observed racial disparity, thus emphasizing the promise of new molecularly-targeted therapies in Black women.
New therapies require evaluation in clinical trials to determine their effectiveness as potential treatment options. Phase I clinical trials allow researchers the ability to determine the maximum tolerated dose and the optimal administration of new drugs in patients. There is a lack of minority representation in Phase I clinical trials, which may lead to the disparities seen in cancer outcomes [85].

3.8. Candidate Drugs for Race-Specific Treatment of Black Endometrial Cancer Patients

Molecularly targeted drugs offer the opportunity to have a greater impact on endometrial cancer patients belonging to races with known alterations in those targets. Of the race-specific proteins listed in Table 2, p53 and HER2/NEU (ERBB2) have molecularly targeted agents in development or approved for cancer treatment. The higher expression of p53 protein in endometrial cancer specimens from Black patients may be due to the higher TP53 gene mutation rate associated with USC, which occurs at a higher rate compared with other histologies in Black women. Multiple chemical and biologic drugs have been developed against mutant p53; however, none are currently approved [86,87]. There are multiple drugs targeting HER2/NEU, including the humanized monoclonal antibody, trastuzuab. A randomized Phase 2 trial of adding trastuzumab to carboplatin-paclitaxel showed that this combination was well tolerated and improved PFS by 4.6 months over chemotherapy alone in patients with advanced-stage or recurrent USCs that overexpressed HER2/NEU [88]. This improvement was >8 months for patients with advanced-stage disease undergoing primary treatment and >3 months for patients with recurrent disease. Follow-up analysis showed that overall survival was increased by >4 months in the trastuzumab arm, with no increase in toxicity [89]. Currently, there are two clinical trials of HER2/NEU inhibitors for endometrial cancer listed on clinicaltrials.gov (access date: 10 January 2021).
Most molecules listed in Table 1 do not have targeted drugs; however, there are several molecules which can be targeted by specific drugs to provide potential race-specific treatment. As discussed previously, the most represented pathway among these genes is cell cycle regulation, for which there are multiple drug options. Currently, there are multiple drugs targeting cyclins and cyclin-dependent kinases (CDKs) in clinical trials that provide potential for inhibiting cyclin E overexpression in endometrial cancers of Black patients [36,37]. The elevated CDKN2A transcript can be alternatively spliced to produce p14 or p16 proteins. The p16 protein is characteristically overexpressed in senescent and cancer cells [91,92]. There are multiple drugs, termed senoltyics, that have been shown to selectively kill senescent cells and are being studied as anti-cancer agents [38,39]. While there are drugs specifically targeted at CDC7, the CDC7 transcript is decreased in Blacks and thus is not a rational target for Black race-specific endometrial cancer treatment. PIK3C, an upstream regulator of cell cycle regulatory proteins [93], has been effectively targeted with inhibitors in breast cancer [40,41,42,43].
Several of the molecules listed in Table 1 have molecularly targeted inhibitors in various phases of development for a variety of cancers. The PLK1 protein has been targeted by multiple biologic and chemical drugs [48,49,50,51,52,53]. Multiple drugs that co-inhibit FGFR3 along with other plasma membrane receptors are being studied as cancer therapeutics [44,45].
Other molecules listed in Table 1 can be inhibited indirectly by known drugs. The expression of PBX1 is decreased by camptothecin, which is a topoisomerase poison used to treat leukemia. Multiple formulations of camptothecin analogs are currently in clinical trials for a variety of cancers (clinicaltrials.gov (access date: 10 January 2021)). EEF2 can be inactivated by a biologic drug called MDNA55, which is a circularly permuted version of interleukin-4 (IL-4) conjugated to Pseudomonas Exotoxin A (PE). Upon binding to the IL-4 receptor, the drug is internalized in the cell, where the PE is released and causes ADP-ribosylation of EEF2 on ribosomes [35]. There are also other biologics and immunotoxins that are conjugated with PE and provide additional candidate drugs for race-specific treatment of endometrial cancer [94].
The mutational profiles of tumors have also been shown to affect sensitivities to specific cancer therapies. For example, in a Phase 2 clinical trial of 86 patients with MMR deficiencies across different solid tumors, including endometrial cancer, pembrolizumab inhibition of PD-1 resulted in a 77% disease control rate [95]. In this study, genomic signatures predicted tumor phenotype and treatment responses independently of the anatomic site of the disease or the histology of the tumor. Therefore, PD1 blockade may provide improved outcomes in endometrial cancer patients of Asian descent, based on the higher frequency of somatic mutations of MMR genes in Asian endometrial cancer patients.

4. Discussion

Our review of the literature identified molecules and molecular pathways that are present at significantly different levels in endometrial cancer specimens from Black and White patients, and encourages controlled studies of other races and ethnicities. Several of these molecules and their pathways can be targeted by existing pharmaceuticals, which have potential for use in race-specific treatment strategies. Recent studies have revealed the potential for improved patient management by enabling tumors to be classified into molecularly categorized subgroups, in addition to the four TCGA groups, with significantly different tumor responses to treatment patient prognoses. These results encourage further elucidation of the molecular pathways and genetic characteristics of endometrial cancers for all race and ethnic groups exhibiting disparities. This information can be used to develop better predictive models of cancer progression and novel therapeutic approaches.

Author Contributions

Conceptualization, P.J. and D.M.B.; methodology, P.J. and D.M.B.; formal analysis, D.M.B.; investigation, P.J., C.W., S.M. and D.M.B.; resources, D.M.B.; data curation, D.M.B.; writing—original draft preparation, P.J., C.W., S.M. and D.M.B.; writing—review and editing, P.J. and D.M.B.; visualization, P.J. and D.M.B.; supervision, D.M.B.; project administration, P.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jemal, A.; Siegel, R.; Xu, J.; Ward, E. Cancer statistics, 2010. CA Cancer J. Clin. 2010, 60, 277–300. [Google Scholar] [CrossRef]
  2. Jemal, A.; Ward, E.M.; Johnson, C.J.; Cronin, K.A.; Ma, J.; Ryerson, B.; Mariotto, A.; Lake, A.J.; Wilson, R.; Sherman, R.L.; et al. Annual Report to the Nation on the Status of Cancer, 1975-2014, Featuring Survival. J. Natl. Cancer Inst. 2017, 109, djx030. [Google Scholar] [CrossRef] [PubMed]
  3. Surveillance, E. End Results (SEER) Program. Available online: https://seer.cancer.gov/ (accessed on 10 January 2021).
  4. Doll, K.M.; Winn, A.N. Assessing endometrial cancer risk among US women: Long-term trends using hysterectomy-adjusted analysis. Am. J. Obstet. Gynecol. 2019, 221, 318.e1–318.e9. [Google Scholar] [CrossRef] [PubMed]
  5. Donkers, H.; Bekkers, R.; Massuger, L.; Galaal, K. Systematic review on socioeconomic deprivation and survival in endometrial cancer. Cancer Causes Control CCC 2019, 30, 1013–1022. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Donkers, H.; Bekkers, R.; Massuger, L.; Galaal, K. Socioeconomic deprivation and survival in endometrial cancer: The effect of BMI. Gynecol. Oncol. 2020, 156, 178–184. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Cancer Genome Atlas Research, N.; Kandoth, C.; Schultz, N.; Cherniack, A.D.; Akbani, R.; Liu, Y.; Shen, H.; Robertson, A.G.; Pashtan, I.; Shen, R.; et al. Integrated genomic characterization of endometrial carcinoma. Nature 2013, 497, 67–73. [Google Scholar] [CrossRef]
  8. Meng, B.; Hoang, L.N.; McIntyre, J.B.; Duggan, M.A.; Nelson, G.S.; Lee, C.H.; Kobel, M. POLE exonuclease domain mutation predicts long progression-free survival in grade 3 endometrioid carcinoma of the endometrium. Gynecol. Oncol. 2014, 134, 15–19. [Google Scholar] [CrossRef] [PubMed]
  9. Billingsley, C.C.; Cohn, D.E.; Mutch, D.G.; Stephens, J.A.; Suarez, A.A.; Goodfellow, P.J. Polymerase varepsilon (POLE) mutations in endometrial cancer: Clinical outcomes and implications for Lynch syndrome testing. Cancer 2015, 121, 386–394. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  10. Guttery, D.S.; Blighe, K.; Polymeros, K.; Symonds, R.P.; Macip, S.; Moss, E.L. Racial differences in endometrial cancer molecular portraits in The Cancer Genome Atlas. Oncotarget 2018, 9, 17093–17103. [Google Scholar] [CrossRef] [PubMed]
  11. Leon-Castillo, A.; de Boer, S.M.; Powell, M.E.; Mileshkin, L.R.; Mackay, H.J.; Leary, A.; Nijman, H.W.; Singh, N.; Pollock, P.M.; Bessette, P.; et al. Molecular Classification of the PORTEC-3 Trial for High-Risk Endometrial Cancer: Impact on Prognosis and Benefit From Adjuvant Therapy. J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol. 2020, 38, 3388–3397. [Google Scholar] [CrossRef]
  12. Baskovic, M.; Lichtensztajn, D.Y.; Nguyen, T.; Karam, A.; English, D.P. Racial disparities in outcomes for high-grade uterine cancer: A California cancer registry study. Cancer Med. 2018, 7, 4485–4495. [Google Scholar] [CrossRef]
  13. Setiawan, V.W.; Yang, H.P.; Pike, M.C.; McCann, S.E.; Yu, H.; Xiang, Y.B.; Wolk, A.; Wentzensen, N.; Weiss, N.S.; Webb, P.M.; et al. Type I and II endometrial cancers: Have they different risk factors? J. Clin. Oncol. 2013, 31, 2607–2618. [Google Scholar] [CrossRef] [PubMed]
  14. Ward, E.M.; Sherman, R.L.; Henley, S.J.; Jemal, A.; Siegel, D.A.; Feuer, E.J.; Firth, A.U.; Kohler, B.A.; Scott, S.; Ma, J.; et al. Annual Report to the Nation on the Status of Cancer, Featuring Cancer in Men and Women Age 20–49 Years. J. Natl. Cancer Inst. 2019, 111, 1279–1297. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Lu, K.H.; Broaddus, R.R. Endometrial Cancer. N. Engl. J. Med. 2020, 383, 2053–2064. [Google Scholar] [CrossRef]
  16. Sherman, M.E.; Devesa, S.S. Analysis of racial differences in incidence, survival, and mortality for malignant tumors of the uterine corpus. Cancer 2003, 98, 176–186. [Google Scholar] [CrossRef] [PubMed]
  17. Huang, A.B.; Huang, Y.; Hur, C.; Tergas, A.I.; Khoury-Collado, F.; Melamed, A.; St Clair, C.M.; Hou, J.Y.; Ananth, C.V.; Neugut, A.I.; et al. Impact of quality of care on racial disparities in survival for endometrial cancer. Am. J. Obstet. Gynecol. 2020, 223, 396.e1–396.e13. [Google Scholar] [CrossRef] [PubMed]
  18. Santin, A.D.; Bellone, S.; Siegel, E.R.; Palmieri, M.; Thomas, M.; Cannon, M.J.; Kay, H.H.; Roman, J.J.; Burnett, A.; Pecorelli, S. Racial differences in the overexpression of epidermal growth factor type II receptor (HER2/neu): A major prognostic indicator in uterine serous papillary cancer. Am. J. Obstet. Gynecol. 2005, 192, 813–818. [Google Scholar] [CrossRef] [PubMed]
  19. Mukerji, B.; Baptiste, C.; Chen, L.; Tergas, A.I.; Hou, J.Y.; Ananth, C.V.; Neugut, A.I.; Hershman, D.L.; Wright, J.D. Racial disparities in young women with endometrial cancer. Gynecol. Oncol. 2018, 148, 527–534. [Google Scholar] [CrossRef]
  20. Javadian, P.; Nezhat, F. Endometrial Carcinoma and its Precursors. Adv. Exp. Med. Biol. 2020, 1242, 59–72. [Google Scholar] [CrossRef]
  21. Johnson, A.L.; Medina, H.N.; Schlumbrecht, M.P.; Reis, I.; Kobetz, E.N.; Pinheiro, P.S. The role of histology on endometrial cancer survival disparities in diverse Florida. PLoS ONE 2020, 15, e0236402. [Google Scholar] [CrossRef]
  22. Lara, O.D.; Wang, Y.; Asare, A.; Xu, T.; Chiu, H.S.; Liu, Y.; Hu, W.; Sumazin, P.; Uppal, S.; Zhang, L.; et al. Pan-cancer clinical and molecular analysis of racial disparities. Cancer 2020, 126, 800–807. [Google Scholar] [CrossRef] [PubMed]
  23. Stinton, C.; Fraser, H.; Al-Khudairy, L.; Court, R.; Jordan, M.; Grammatopoulos, D.; Taylor-Phillips, S. Testing for lynch syndrome in people with endometrial cancer using immunohistochemistry and microsatellite instability-based testing strategies—A systematic review of test accuracy. Gynecol. Oncol. 2021, 160, 148–160. [Google Scholar] [CrossRef] [PubMed]
  24. Schlotterer, C. Evolutionary dynamics of microsatellite DNA. Chromosoma 2000, 109, 365–371. [Google Scholar] [CrossRef]
  25. Li, G.M. Mechanisms and functions of DNA mismatch repair. Cell Res. 2008, 18, 85–98. [Google Scholar] [CrossRef] [Green Version]
  26. Moreira, L.; Balaguer, F.; Lindor, N.; de la Chapelle, A.; Hampel, H.; Aaltonen, L.A.; Hopper, J.L.; Le Marchand, L.; Gallinger, S.; Newcomb, P.A.; et al. Identification of Lynch syndrome among patients with colorectal cancer. JAMA 2012, 308, 1555–1565. [Google Scholar] [CrossRef] [PubMed]
  27. Kakar, S.; Burgart, L.J.; Thibodeau, S.N.; Rabe, K.G.; Petersen, G.M.; Goldberg, R.M.; Lindor, N.M. Frequency of loss of hMLH1 expression in colorectal carcinoma increases with advancing age. Cancer 2003, 97, 1421–1427. [Google Scholar] [CrossRef]
  28. Aarnio, M.; Sankila, R.; Pukkala, E.; Salovaara, R.; Aaltonen, L.A.; de la Chapelle, A.; Peltomäki, P.; Mecklin, J.P.; Järvinen, H.J. Cancer risk in mutation carriers of DNA-mismatch-repair genes. Int. J. Cancer 1999, 81, 214–218. [Google Scholar] [CrossRef]
  29. Lu, K.H.; Dinh, M.; Kohlmann, W.; Watson, P.; Green, J.; Syngal, S.; Bandipalliam, P.; Chen, L.-M.; Allen, B.; Conrad, P.; et al. Gynecologic cancer as a “sentinel cancer” for women with hereditary nonpolyposis colorectal cancer syndrome. Obstet. Gynecol. 2005, 105, 569–574. [Google Scholar] [CrossRef]
  30. Maxwell, G.L.; Risinger, J.I.; Hayes, K.A.; Alvarez, A.A.; Dodge, R.K.; Barrett, J.C.; Berchuck, A. Racial disparity in the frequency of PTEN mutations, but not microsattelite instability, in advanced endometrial cancers. Clin. Cancer Res. 2000, 6, 2999–3005. [Google Scholar]
  31. Bateman, N.W.; Dubil, E.A.; Wang, G.; Hood, B.L.; Oliver, J.M.; Litzi, T.A.; Gist, G.D.; Mitchell, D.A.; Blanton, B.; Phippen, N.T.; et al. Race-specific molecular alterations correlate with differential outcomes for black and white endometrioid endometrial cancer patients. Cancer 2017, 123, 4004–4012. [Google Scholar] [CrossRef] [Green Version]
  32. Dubil, E.A.; Tian, C.; Wang, G.; Tarney, C.M.; Bateman, N.W.; Levine, D.A.; Conrads, T.P.; Hamilton, C.A.; Maxwell, G.L.; Darcy, K.M. Racial disparities in molecular subtypes of endometrial cancer. Gynecol. Oncol. 2018, 149, 106–116. [Google Scholar] [CrossRef]
  33. Carson, J.P.; Zhang, N.; Frampton, G.M.; Gerry, N.P.; Lenburg, M.E.; Christman, M.F. Pharmacogenomic identification of targets for adjuvant therapy with the topoisomerase poison camptothecin. Cancer Res. 2004, 64, 2096–2104. [Google Scholar] [CrossRef] [Green Version]
  34. Brachat, A.; Pierrat, B.; Xynos, A.; Brecht, K.; Simonen, M.; Brüngger, A.; Heim, J. A microarray-based, integrated approach to identify novel regulators of cancer drug response and apoptosis. Oncogene 2002, 21, 8361–8371. [Google Scholar] [CrossRef] [Green Version]
  35. Iglewski, B.H.; Liu, P.V.; Kabat, D. Mechanism of action of Pseudomonas aeruginosa exotoxin Aiadenosine diphosphate-ribosylation of mammalian elongation factor 2 in vitro and in vivo. Infect. Immun. 1977, 15, 138–144. [Google Scholar] [CrossRef] [Green Version]
  36. Caruso, J.A.; Duong, M.T.; Carey, J.P.W.; Hunt, K.K.; Keyomarsi, K. Low-Molecular-Weight Cyclin E in Human Cancer: Cellular Consequences and Opportunities for Targeted Therapies. Cancer Res. 2018, 78, 5481–5491. [Google Scholar] [CrossRef] [Green Version]
  37. Roskoski, R., Jr. Cyclin-dependent protein serine/threonine kinase inhibitors as anticancer drugs. Pharmacol. Res. 2019, 139, 471–488. [Google Scholar] [CrossRef]
  38. Malavolta, M.; Bracci, M.; Santarelli, L.; Sayeed, M.A.; Pierpaoli, E.; Giacconi, R.; Costarelli, L.; Piacenza, F.; Basso, A.; Cardelli, M.; et al. Inducers of Senescence, Toxic Compounds, and Senolytics: The Multiple Faces of Nrf2-Activating Phytochemicals in Cancer Adjuvant Therapy. Mediat. Inflamm. 2018, 2018, 4159013. [Google Scholar] [CrossRef] [Green Version]
  39. Kirkland, J.L.; Tchkonia, T. Senolytic drugs: From discovery to translation. J. Intern. Med. 2020, 288, 518–536. [Google Scholar] [CrossRef]
  40. Drullinsky, P.R.; Hurvitz, S.A. Mechanistic basis for PI3K inhibitor antitumor activity and adverse reactions in advanced breast cancer. Breast Cancer Res. Treat. 2020, 181, 233–248. [Google Scholar] [CrossRef]
  41. Pascual, J.; Turner, N.C. Targeting the PI3-kinase pathway in triple-negative breast cancer. Ann. Oncol. Off. J. Eur. Soc. Med Oncol. 2019, 30, 1051–1060. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Verret, B.; Cortes, J.; Bachelot, T.; Andre, F.; Arnedos, M. Efficacy of PI3K inhibitors in advanced breast cancer. Ann. Oncol. Off. J. Eur. Soc. Med. Oncol. 2019, 30, x12–x20. [Google Scholar] [CrossRef]
  43. Brandao, M.; Caparica, R.; Eiger, D.; de Azambuja, E. Biomarkers of response and resistance to PI3K inhibitors in estrogen receptor-positive breast cancer patients and combination therapies involving PI3K inhibitors. Ann. Oncol. Off. J. Eur. Soc. Med. Oncol. 2019, 30, x27–x42. [Google Scholar] [CrossRef] [Green Version]
  44. Shen, G.; Zheng, F.; Ren, D.; Du, F.; Dong, Q.; Wang, Z.; Zhao, F.; Ahmad, R.; Zhao, J. Anlotinib: A novel multi-targeting tyrosine kinase inhibitor in clinical development. J. Hematol. Oncol. 2018, 11, 120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Roubal, K.; Myint, Z.W.; Kolesar, J.M. Erdafitinib: A novel therapy for FGFR-mutated urothelial cancer. Am. J. Health-Syst. Pharm. 2020, 77, 346–351. [Google Scholar] [CrossRef] [PubMed]
  46. Akbari, V.; Chou, C.P.; Abedi, D. New insights into affinity proteins for HER2-targeted therapy: Beyond trastuzumab. Biochim. Et Biophys. Acta Rev. Cancer 2020, 1874, 188448. [Google Scholar] [CrossRef]
  47. Van den Bossche, J.; Lardon, F.; Deschoolmeester, V.; De Pauw, I.; Vermorken, J.B.; Specenier, P.; Pauwels, P.; Peeters, M.; Wouters, A. Spotlight on Volasertib: Preclinical and Clinical Evaluation of a Promising Plk1 Inhibitor. Med. Res. Rev. 2016, 36, 749–786. [Google Scholar] [CrossRef]
  48. Mross, K.; Frost, A.; Steinbild, S.; Hedbom, S.; Rentschler, J.; Kaiser, R.; Rouyrre, N.; Trommeshauser, D.; Hoesl, C.E.; Munzert, G. Phase I dose escalation and pharmacokinetic study of BI 2536, a novel Polo-like kinase 1 inhibitor, in patients with advanced solid tumors. J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol. 2008, 26, 5511–5517. [Google Scholar] [CrossRef]
  49. Schoffski, P.; Blay, J.-Y.; De Greve, J.; Brain, E.; Machiels, J.-P.; Soria, J.-C.; Sleijfer, S.; Wolter, P.; Ray-Coquard, I.; Fontaine, C.; et al. Multicentric parallel phase II trial of the polo-like kinase 1 inhibitor BI 2536 in patients with advanced head and neck cancer, breast cancer, ovarian cancer, soft tissue sarcoma and melanoma. The first protocol of the European Organization for Research and Treatment of Cancer (EORTC) Network of Core Institutes (NOCI). Eur. J. Cancer 2010, 46, 2206–2215. [Google Scholar] [CrossRef]
  50. Hofheinz, R.-D.; Al-Batran, S.-E.; Hochhaus, A.; Jager, E.; Reichardt, V.L.; Fritsch, H.; Trommeshauser, D.; Munzert, G. An open-label, phase I study of the polo-like kinase-1 inhibitor, BI 2536, in patients with advanced solid tumors. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2010, 16, 4666–4674. [Google Scholar] [CrossRef] [Green Version]
  51. Olmos, D.; Barker, D.; Sharma, R.; Brunetto, A.T.; Yap, T.A.; Taegtmeyer, A.B.; Barriuso, J.; Medani, H.; Degenhardt, Y.Y.; Allred, A.J.; et al. Phase I study of GSK461364, a specific and competitive Polo-like kinase 1 inhibitor, in patients with advanced solid malignancies. Clin. Cancer Res. Off. J. Am. Assoc. Cancer Res. 2011, 17, 3420–3430. [Google Scholar] [CrossRef] [Green Version]
  52. Breitenbuecher, F.; von Pawel, J.; Sebastian, M.; Kortsik, C.; Ting, S.; Kasper, S.; Wohlschlager, J.; Worm, K.; Morresi-Hauf, A.; Schad, A.; et al. Comprehensive Biomarker Analyses in Patients with Advanced or Metastatic Non-Small Cell Lung Cancer Prospectively Treated with the Polo-Like Kinase 1 Inhibitor BI2536. Oncol. Res. Treat. 2017, 40, 435–439. [Google Scholar] [CrossRef]
  53. Weiss, G.J.; Jameson, G.; Von Hoff, D.D.; Valsasina, B.; Davite, C.; Di Giulio, C.; Fiorentini, F.; Alzani, R.; Carpinelli, P.; Di Sanzo, A.; et al. Phase I dose escalation study of NMS-1286937, an orally available Polo-Like Kinase 1 inhibitor, in patients with advanced or metastatic solid tumors. Investig. New Drugs 2018, 36, 85–95. [Google Scholar] [CrossRef] [Green Version]
  54. Sun, H.M.; Mi, Y.S.; Yu, F.D.; Han, Y.; Liu, X.S.; Lu, S.; Zhang, Y.; Zhao, S.L.; Ye, L.; Liu, T.T.; et al. SERPINA4 is a novel independent prognostic indicator and a potential therapeutic target for colorectal cancer. Am. J. Cancer Res. 2016, 6, 1636–1649. [Google Scholar]
  55. Sharma, S.; Javadekar, S.M.; Pandey, M.; Srivastava, M.; Kumari, R.; Raghavan, S.C. Homology and enzymatic requirements of microhomology-dependent alternative end joining. Cell Death Dis. 2015, 6, e1697. [Google Scholar] [CrossRef] [Green Version]
  56. Ferguson, S.E.; Olshen, A.B.; Levine, D.A.; Viale, A.; Barakat, R.R.; Boyd, J. Molecular profiling of endometrial cancers from African–American and Caucasian women. Gynecol. Oncol. 2006, 101, 209–213. [Google Scholar] [CrossRef]
  57. Maxwell, G.L.; Allard, J.; Gadisetti, C.V.R.; Litzi, T.; Casablanca, Y.; Chandran, U.; Darcy, K.M.; Levine, D.A.; Berchuck, A.; Hamilton, C.A.; et al. Transcript expression in endometrial cancers from Black and White patients. Gynecol. Oncol. 2013, 130, 169–173. [Google Scholar] [CrossRef]
  58. Maxwell, G.L.; Shoji, Y.; Darcy, K.; Litzi, T.; Berchuck, A.; Hamilton, C.A.; Conrads, T.P.; Risinger, J.I. MicroRNAs in endometrial cancers from black and white patients. Am. J. Obs. Gynecol 2015, 212, 191.e1–191.e10. [Google Scholar] [CrossRef]
  59. Li, Q.; Shen, F.; Zhao, L. The relationship between lncRNA PCGEM1 and STAT3 during the occurrence and development of endometrial carcinoma. Biomed. Pharmacother. 2018, 107, 918–928. [Google Scholar] [CrossRef]
  60. Dong, P.; Xiong, Y.; Yue, J.; Xu, D.; Ihira, K.; Konno, Y.; Kobayashi, N.; Todo, Y.; Watari, H. Long noncoding RNA NEAT1 drives aggressive endometrial cancer progression via miR-361-regulated networks involving STAT3 and tumor microenvironment-related genes. J. Exp. Clin. Cancer Res. 2019, 38, 295. [Google Scholar] [CrossRef] [Green Version]
  61. Liu, Y.; Chang, Y.; Cai, Y. Hsa_circ_0061140 promotes endometrial carcinoma progression via regulating miR-149-5p/STAT3. Gene 2020, 745, 144625. [Google Scholar] [CrossRef]
  62. Xu, J.B. MicroRNA-93-5p/IFNAR1 axis accelerates metastasis of endometrial carcinoma by activating the STAT3 pathway. Eur. Rev. Med. Pharmacol. Sci. 2019, 23, 5657–5666. [Google Scholar] [CrossRef]
  63. Dupont, J.; Wang, X.; Marshall, D.S.; Leitao, M.; Hedvat, C.V.; Hummer, A.; Thaler, H.; O’Reilly, R.J.; Soslow, R.A. Wilms Tumor Gene (WT1) and p53 expression in endometrial carcinomas: A study of 130 cases using a tissue microarray. Gynecol. Oncol. 2004, 94, 449–455. [Google Scholar] [CrossRef]
  64. Jeon, Y.T.; Kang, S.; Kang, D.H.; Yoo, K.Y.; Park, I.A.; Bang, Y.J.; Kim, J.W.; Park, N.H.; Kang, S.B.; Lee, H.P.; et al. Cyclooxygenase-2 and p53 expressions in endometrial cancer. Cancer Epidemiol. Prev. Biomark. 2004, 13, 1538–1542. [Google Scholar]
  65. Clifford, S.L.; Kaminetsky, C.P.; Cirisano, F.D.; Dodge, R.; Soper, J.T.; Clarke-Pearson, D.L.; Berchuck, A. Racial disparity in overexpression of the p53 tumor suppressor gene in stage I endometrial cancer. Am. J. Obs. Gynecol 1997, 176, s229–s232. [Google Scholar] [CrossRef]
  66. Schimp, V.L.; Ali-Fehmi, R.; Solomon, L.A.; Hammoud, A.; Pansare, V.; Morris, R.T.; Munkarah, A.R. The racial disparity in outcomes in endometrial cancer: Could this be explained on a molecular level? Gynecol. Oncol. 2006, 102, 440–446. [Google Scholar] [CrossRef] [PubMed]
  67. Inoue, M.; Okayama, A.; Fujita, M.; Enomoto, T.; Sakata, M.; Tanizawa, O.; Ueshima, H. Clinicopathological characteristics of p53 overexpression in endometrial cancers. Int. J. Cancer 1994, 58, 14–19. [Google Scholar] [CrossRef]
  68. Ito, K.; Watanabe, K.; Nasim, S.; Sasano, H.; Sato, S.; Yajima, A.; Silverberg, S.G.; Garrett, C.T. Prognostic significance of p53 overexpression in endometrial cancer. Cancer Res. 1994, 54, 4667–4670. [Google Scholar] [PubMed]
  69. Mutter, G.L.; Lin, M.-C.; Fitzgerald, J.T.; Kum, J.B.; Baak, J.P.A.; Lees, J.A.; Weng, L.-P.; Eng, H. Altered PTEN expression as a diagnostic marker for the earliest endometrial precancers. J. Natl. Cancer Inst. 2002, 92, 924–931. [Google Scholar] [CrossRef] [PubMed]
  70. Baak, J.P.A.; Van Diermen, B.; Steinbakk, A.; Janssen, E.; Skaland, I.; Mutter, G.L.; Fiane, B.; Lovslett, K. Lack of PTEN expression in endometrial intraepithelial neoplasia is correlated with cancer progression. Hum. Pathol. 2005, 36, 555–561. [Google Scholar] [CrossRef]
  71. Lacey, J.V., Jr.; Mutter, G.L.; Ronnett, B.M.; Ioffe, O.B.; Duggan, M.A.; Rush, B.B.; Glass, A.G.; Richesson, D.A.; Chatterjee, N.; Langholz, B.; et al. PTEN expression in endometrial biopsies as a marker of progression to endometrial carcinoma. Cancer Res. 2008, 68, 6014–6020. [Google Scholar] [CrossRef] [Green Version]
  72. Zhang, H.D.; Jiang, L.H.; Sun, D.W.; Li, J.; Ji, Z.L. The role of miR-130a in cancer. Breast Cancer 2017, 24, 521–527. [Google Scholar] [CrossRef] [PubMed]
  73. Sutton, J.; Orloff, M.S.; Michener, C.; Chiesa-Vottero, A.; Prayson, R.; Nowacki, A.S.; Eng, C. Association of specific PTEN/10q haplotypes with endometrial cancer phenotypes in African-American and European American women. Gynecol. Oncol. 2015, 138, 434–440. [Google Scholar] [CrossRef] [PubMed]
  74. Oda, K.; Stokoe, D.; Taketani, Y.; McCormick, F. High frequency of coexistent mutations of PIK3CA and PTEN genes in endometrial carcinoma. Cancer Res. 2005, 65, 10669–10673. [Google Scholar] [CrossRef] [Green Version]
  75. Risinger, J.I.; Hayes, K.; Maxwell, G.L.; Carney, M.E.; Dodge, R.K.; Barrett, J.C.; Berchuck, A. PTEN mutation in endometrial cancers is associated with favorable clinical and pathologic characteristics. Clin. Cancer Res. 1998, 4, 3005–3010. [Google Scholar]
  76. Morrison, C.; Zanagnolo, V.; Ramirez, N.; Cohn, D.E.; Kelbick, N.; Copeland, L.; Maxwell, G.L.; Fowler, J.M. HER-2 is an independent prognostic factor in endometrial cancer: Association with outcome in a large cohort of surgically staged patients. J. Clin. Oncol. 2006, 24, 2376–2385. [Google Scholar] [CrossRef]
  77. Santin, A.D.; Bellone, S.; Gokden, M.; Palmieri, M.; Dunn, D.; Agha, J.; Roman, J.J.; Hutchins, L.; Pecorelli, S.; O’Brien, T.; et al. Overexpression of HER-2/neu in uterine serous papillary cancer. Clin. Cancer Res. 2002, 8, 1271–1279. [Google Scholar]
  78. Skalnikova, H.; Vodicka, P.; Pelech, S.; Motlik, J.; Gadher, S.J.; Kovarova, H. Protein signaling pathways in differentiation of neural stem cells. Proteomics 2008, 8, 4547–4559. [Google Scholar] [CrossRef]
  79. Shimomura, K.; Sakakura, C.; Takemura, M.; Takagi, T.; Fukuda, K.; Kin, S.; Nakase, Y.; Miyagawa, K.; Ohgaki, M.; Fujiyama, J.; et al. Combination of L-3-phosphoserine phosphatase and CEA using real-time RT-PCR improves accuracy in detection of peritoneal micrometastasis of gastric cancer. Anticancer Res. 2004, 24, 1113–1120. [Google Scholar]
  80. Allard, J.E.; Chandramouli, G.V.; Stagliano, K.; Hood, B.L.; Litzi, T.; Shoji, Y.; Boyd, J.; Berchuck, A.; Conrads, T.P.; Maxwell, G.L.; et al. Analysis of PSPHL as a Candidate Gene Influencing the Racial Disparity in Endometrial Cancer. Front. Oncol. 2012, 2, 65. [Google Scholar] [CrossRef] [Green Version]
  81. Van Arsdale, A.R.; Arend, R.C.; Cossio, M.J.; Erickson, B.K.; Wang, Y.; Doo, D.W.; Leath, C.A.; Goldberg, G.L.; Huang, G.S. Insulin-like growth factor 2: A poor prognostic biomarker linked to racial disparity in women with uterine carcinosarcoma. Cancer Med. 2018, 7, 616–625. [Google Scholar] [CrossRef] [Green Version]
  82. Ott, P.A.; Bang, Y.J.; Berton-Rigaud, D.; Elez, E.; Pishvaian, M.J.; Rugo, H.S.; Puzanov, I.; Mehnert, J.M.; Aung, K.L.; Lopez, J.; et al. Safety and Antitumor Activity of Pembrolizumab in Advanced Programmed Death Ligand 1-Positive Endometrial Cancer: Results From the KEYNOTE-028 Study. J. Clin. Oncol. 2017, 35, 2535–2541. [Google Scholar] [CrossRef]
  83. Lee, Y.T.; Tan, Y.J.; Oon, C.E. Molecular targeted therapy: Treating cancer with specificity. Eur. J. Pharmacol. 2018, 834, 188–196. [Google Scholar] [CrossRef] [PubMed]
  84. Maxwell, G.L.; Tian, C.; Risinger, J.; Brown, C.L.; Rose, G.S.; Thigpen, J.T.; Fleming, G.F.; Gallion, H.H.; Brewster, W.R.; Gynecologic Oncology Group, s. Racial disparity in survival among patients with advanced/recurrent endometrial adenocarcinoma: A Gynecologic Oncology Group study. Cancer 2006, 107, 2197–2205. [Google Scholar] [CrossRef] [PubMed]
  85. Awad, E.; Paladugu, R.; Jones, N.; Pierce, J.Y.; Scalici, J.; Hamilton, C.A.; Darcy, K.M.; Maxwell, G.L.; Rocconi, R.P. Minority participation in phase 1 gynecologic oncology clinical trials: Three decades of inequity. Gynecol. Oncol. 2020, 157, 729–732. [Google Scholar] [CrossRef]
  86. Sanz, G.; Singh, M.; Peuget, S.; Selivanova, G. Inhibition of p53 inhibitors: Progress, challenges and perspectives. J. Mol. Cell Biol. 2019, 11, 586–599. [Google Scholar] [CrossRef] [Green Version]
  87. Zanjirband, M.; Rahgozar, S. Targeting p53-MDM2 Interaction Using Small Molecule Inhibitors and the Challenges Needed to be Addressed. Curr. Drug Targets 2019, 20, 1091–1111. [Google Scholar] [CrossRef] [PubMed]
  88. Fader, A.N.; Roque, D.M.; Siegel, E.; Buza, N.; Hui, P.; Abdelghany, O.; Chambers, S.K.; Secord, A.A.; Havrilesky, L.; O’Malley, D.M.; et al. Randomized Phase II Trial of Carboplatin-Paclitaxel Versus Carboplatin-Paclitaxel-Trastuzumab in Uterine Serous Carcinomas That Overexpress Human Epidermal Growth Factor Receptor 2/neu. J. Clin. Oncol. 2018, 36, 2044–2051. [Google Scholar] [CrossRef] [PubMed]
  89. Fader, A.N.; Roque, D.M.; Siegel, E.; Buza, N.; Hui, P.; Abdelghany, O.; Chambers, S.; Secord, A.A.; Havrilesky, L.; O’Malley, D.M.; et al. Randomized Phase II Trial of Carboplatin-Paclitaxel Compared with Carboplatin-Paclitaxel-Trastuzumab in Advanced (Stage III-IV) or Recurrent Uterine Serous Carcinomas that Overexpress Her2/Neu (NCT01367002): Updated Overall Survival Analysis. Clin. Cancer Res. 2020, 26, 3928–3935. [Google Scholar] [CrossRef] [PubMed]
  90. Kohler, M.F.; Carney, P.; Dodge, R.; Soper, J.T.; Clarke-Pearson, D.L.; Marks, J.R.; Berchuck, A. p53 overexpression in advanced-stage endometrial adenocarcinoma. Am. J. Obstet. Gynecol. 1996, 175, 1246–1252. [Google Scholar] [CrossRef]
  91. Romagosa, C.; Simonetti, S.; Lopez-Vicente, L.; Mazo, A.; Lleonart, M.E.; Castellvi, J.; Ramon y Cajal, S. p16(Ink4a) overexpression in cancer: A tumor suppressor gene associated with senescence and high-grade tumors. Oncogene 2011, 30, 2087–2097. [Google Scholar] [CrossRef] [Green Version]
  92. Rayess, H.; Wang, M.B.; Srivatsan, E.S. Cellular senescence and tumor suppressor gene p16. Int. J. Cancer 2012, 130, 1715–1725. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Chang, F.; Lee, J.T.; Navolanic, P.M.; Steelman, L.S.; Shelton, J.G.; Blalock, W.L.; Franklin, R.A.; McCubrey, J.A. Involvement of PI3K/Akt pathway in cell cycle progression, apoptosis, and neoplastic transformation: A target for cancer chemotherapy. Leukemia 2003, 17, 590–603. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Akbari, B.; Farajnia, S.; Ahdi Khosroshahi, S.; Safari, F.; Yousefi, M.; Dariushnejad, H.; Rahbarnia, L. Immunotoxins in cancer therapy: Review and update. Int. Rev. Immunol. 2017, 36, 207–219. [Google Scholar] [CrossRef]
  95. Le, D.T.; Durham, J.N.; Smith, K.N.; Wang, H.; Bartlett, B.R.; Aulakh, L.K.; Lu, S.; Kemberling, H.; Wilt, C.; Luber, B.S.; et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 2017, 357, 409–413. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Literature search and review flow chart for selection of studies.
Figure 1. Literature search and review flow chart for selection of studies.
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Figure 2. Age-adjusted and hysterectomy-corrected incidence of nonendometrioid endometrial cancer according to race [15]. Reproduced with permission from Massachusetts Medical Society.
Figure 2. Age-adjusted and hysterectomy-corrected incidence of nonendometrioid endometrial cancer according to race [15]. Reproduced with permission from Massachusetts Medical Society.
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Figure 3. Ingenuity analysis of prognostically significant proteins with altered expression in endometrioid endometrial cancer specimens from Black compared with White patients. Solid and dotted lines indicate the direct and indirect effects, respectively, of the indicated protein on the protein to which the arrowhead is pointing. ERBB2 = HER2/NEU. Proteins without arrows had no evidence of a connection with the other proteins in the current scientific literature.
Figure 3. Ingenuity analysis of prognostically significant proteins with altered expression in endometrioid endometrial cancer specimens from Black compared with White patients. Solid and dotted lines indicate the direct and indirect effects, respectively, of the indicated protein on the protein to which the arrowhead is pointing. ERBB2 = HER2/NEU. Proteins without arrows had no evidence of a connection with the other proteins in the current scientific literature.
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Figure 4. Ingenuity analysis of proteins differentially expressed in endometrioid endometrial cancer specimens from Black compared with White patients. Solid lines indicate direct effects of the indicated protein on the protein to which the arrowhead is pointing. Proteins without arrows had no evidence of a connection with the other proteins in the current scientific literature.
Figure 4. Ingenuity analysis of proteins differentially expressed in endometrioid endometrial cancer specimens from Black compared with White patients. Solid lines indicate direct effects of the indicated protein on the protein to which the arrowhead is pointing. Proteins without arrows had no evidence of a connection with the other proteins in the current scientific literature.
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Table 1. Molecules significantly associated with race and survival.
Table 1. Molecules significantly associated with race and survival.
DifferenceName (Gene Symbol)Survival AssociationReference
RNA Increased in Black PatientsDSN1 homolog (DSN1) aPFS in Black and White[31]
PBX homeobox 1 (PBX1) a,dPFS in Black b[31]
EPM2A laforin glucan phosphatase (EPM2A)aPFS and OS in White b[31]
DNA Ligase 3 (LIG3) aPFS worse for Black and improved for White[31]
Bet1 Golgi vesicular membrane trafficking protein like (BET1L) aPFS in White[31]
HEAT repeat containing 6 (HEATR6) aPFS in Black[31]
Family with sequence similarity 228 member B (FAM228B) aPFS in Black b[31]
Adaptor-related protein complex 4 r1 subunit (ARCA5) aPFS in Black[31]
PSMD5 antisense RNA 1 (head to head) (PSMD5-AS1) aPFS in Black b[31]
Polyribonucleotide nucleotidyltransferase 1 (PNPT1) aPFS in Black[31]
Adaptor-related protein complex 4 r1 subunit (AP4S1) aPFS in Black b[31]
Cyclin E1 (CCNE1) a,c,dNot determined[32]
Cyclin dependent kinase inhibitor 2A/P16 (CDKN2A) c,dNot determined[32]
Cell division cycle 25C (CDC25C) cNot determined[32]
Cyclin B2 (CCNB2) cNot determined[32]
Mitotic checkpoint serine/threonine kinase B (BUB1B) cNot determined[32]
Minichromosome Maintenance complex component 7 (MCM7) cNot determined[32]
Polo like kinase 1 (PLK1) c,dNot determined[32]
Minichromosome maintenance complex component 2 (MCM2) cNot determined[32]
Baculoviral inhibitor of apoptosis repeat containing 7 (BIRC7) cNot determined[32]
Laminin subunit gamma 1 (LAMC1) cNot determined[32]
CDC28 protein kinase regulatory subunit 1B (CKS1B) cNot determined[32]
Laminin subunit 5 (LAMA5) cNot determined[32]
Wnt family member 7A (WNT7A) cNot determined[32]
Fibroblast growth factor 12 (FGF12) cNot determined[32]
Fibroblast growth factor 5 (FGF5) cNot determined[32]
FGF receptor 3 (FGFR3) c,dNot determined[32]
Erb-B2 receptor tyrosine kinase 2 (ERBB2) c,dNot determined[32]
Breast cancer 2 DNA repair associated (BRCA2) cNot determined[32]
Phosphatidylinositol-4, 5-bisphosphate3-kinase catalytic subunit α (PIK3CA) c,dNot determined[32]
RNA Decreased in Black RaceWilms tumor 1 associated protein (WTAP) aPFS in White[31]
Death-associated protein (DAP) aPFS and OS in White b[31]
Mal T-cell differentiation protein like (MALL) aPFS in White b[31]
Integrin subunit a3 (ITGA3) aPFS and OS in White[31]
Uncoupling protein 2 (UCP2) aPFS in White b[31]
Serpin family A member 4 (SERPINA4) aPFS and OS in White b[31]
Calpain 6 (CAPN6) aPFS in White b[31]
Solute carrier family 24 member 1 (SLC24A1) aPFS in Black[31]
Chromosome 19 open reading frame 25 (C19orf25) aPFS in Black[31]
WD repeat domain 97 (WDR97) aPFS in Black[32]
Cyclin A2 (CCNA2) cNot determined[32]
Mitotic arrest deficient 2 like 1 (MAD2L1) cNot determined[32]
Cyclin E1 (CCNE2) cNot determined[32]
Cell division cycle 25C (CDC25A) cNot determined[32]
Cell division cycle 7 (CDC7) c,dNot determined[32]
Structural maintenance of chromosomes 1B (SMC1B) cNot determined[32]
RNA and Protein Decreased in BlacksCCR4-NOT transcription complex subunit 1 (CNOT1)Not determined[31]
Peptidylprolyl isomerase B (PPIB)Not determined[31]
Cell cycle and apoptosis regulator 2 (CCAR2)Not determined[31]
Eukaryotic translation elongation factor 2 (EEF2)dNot determined[31]
Junction plakoglobin (JUP)Not determined[31]
PDZ and LIM domain 5 (PDLIM5)Not determined[31]
Myosin IC (MYO1C)Not determined[31]
Desmoglein 2 (DSG2)Not determined[31]
Plakophilin 3 (PKP3)Not determined[31]
DnaJ heat shock protein family (Hsp40) member C10 (DNAJC10)Not determined[31]
a Validated in TCGA RPPA data. b Significant in multivariate COX analysis for stage, grade and myometrial invasion; Wald p < 0.05. c Mitotic subtype only. d Actionable Target: PBX1—camptothecin [33,34]; EEF2—MDNA55 [35]; CCNE1—CDK2 and Akt inhibitors [36,37]; CDKN2A—senolytics, PLK1- BI 2536, GSK461364, lipid-encapsulated anti-PLK1 siRNA TKM-080301, MK1496, onvansertib, rigosertib, TAK-960 and volasertib [38,39]; CDC7—BMS-863233, LY3143921, NMS-1116354, TAK-93 [40,41,42,43]; FGFR3—3D185, ASP5878, B701, crizotinib/pazopanib and debio [44,45]; ERBB2—68GaNOTA-anti-HER2 VHH1, 89Zr-trastuzumab, 99m-Tc-NM-02, 99mTc-HPArk2, [68Ga] ABY-025, A166, ADCT-502, afatinib, afatinib/cetuximab, afatinib/osimertinib, afatinib/paclitaxel, allitinib and alpelisib/trastuzumab [46]; PIK3CA—alpelisib, alpelisib/fulvestrant, alpelisib/trastuzumab emtansine, AZD8835, BAY1082439, bimiralisib, buparlisib, CLR457, copanlisib, dactolisib, GDC-0077, pictilisib, pilaralisib, PKI-179, PWT33597, PX-866, serabelisib, SF 1126, taselisib [40,41,42,43]; PLK1—volasterib, fostamatinib, cytarabine, decitabine [47,48,49,50,51,52,53].
Table 2. Race-specific proteins as drug targets in endometrial cancer.
Table 2. Race-specific proteins as drug targets in endometrial cancer.
ProteinMethodRacial DifferenceResult
p53 [90]Immunohistochemistry in FFPE of all histology typesIncreased in BlacksHigher expression independently associated with worse survival in all patients
PTEN [30]DNA mutations that decrease expressionDecreased in BlacksMutations are associated with more favorable outcomes
HER2/Neu [18]Immunohistochemistry in FFPE of USCIncreased in BlacksHigher expression associated with worse disease-related survival in all races
IGF2 [81]ImmunohistochemistryIncreased in BlacksHigher expression associated with worse survival in all races and doubling of risk in Blacks with USC
FFPE: Formalin-fixed, paraffin-embedded.
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Javadian, P.; Washington, C.; Mukasa, S.; Benbrook, D.M. Histopathologic, Genetic and Molecular Characterization of Endometrial Cancer Racial Disparity. Cancers 2021, 13, 1900. https://doi.org/10.3390/cancers13081900

AMA Style

Javadian P, Washington C, Mukasa S, Benbrook DM. Histopathologic, Genetic and Molecular Characterization of Endometrial Cancer Racial Disparity. Cancers. 2021; 13(8):1900. https://doi.org/10.3390/cancers13081900

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Javadian, Pouya, Christina Washington, Shylet Mukasa, and Doris Mangiaracina Benbrook. 2021. "Histopathologic, Genetic and Molecular Characterization of Endometrial Cancer Racial Disparity" Cancers 13, no. 8: 1900. https://doi.org/10.3390/cancers13081900

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