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Article

Hypoxia-Inducible Factor-2-Altered Urothelial Carcinoma: Clinical and Genomic Features

by
Panagiotis J. Vlachostergios
1,*,
Ioannis A. Tamposis
2,
Maria Anagnostou
3,
Maria Papathanassiou
3,
Lampros Mitrakas
4,
Ioannis Zachos
4,
Eleni Thodou
3,
Maria Samara
3 and
Vassilios Tzortzis
4
1
Division of Hematology and Medical Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
2
Department of Computer Science and Biomedical Informatics, University of Thessaly, 38221 Lamia, Greece
3
Department of Pathology and Cytology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, 41500 Larissa, Greece
4
Department of Urology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, 41500 Larissa, Greece
*
Author to whom correspondence should be addressed.
Curr. Oncol. 2022, 29(11), 8638-8649; https://doi.org/10.3390/curroncol29110681
Submission received: 25 October 2022 / Revised: 9 November 2022 / Accepted: 11 November 2022 / Published: 14 November 2022
(This article belongs to the Section Genitourinary Oncology)

Abstract

:
Background: Hypoxia is recognized as a key feature of cancer growth and is involved in various cellular processes, including proliferation, angiogenesis, and immune surveillance. Besides hypoxia-inducible factor 1-alpha (HIF-1α), which is the main mediator of hypoxia effects and can also be activated under normoxic conditions, little is known about its counterpart, HIF-2. This study focused on investigating the clinical and molecular landscape of HIF-2-altered urothelial carcinoma (UC). Methods: Publicly available next-generation sequencing (NGS) data from muscle-invasive UC cell lines and patient tumor samples from the MSK/TCGA 2020 cohort (n = 476) were interrogated for the level of expression (mRNA, protein) and presence of mutations, copy number variations, structural variants in the EPAS1 gene encoding HIF-2, and findings among various clinical (stage, grade, progression-free and overall survival) and molecular (tumor mutational burden, enriched gene expression) parameters were compared between altered and unaltered tumors. Results: 19% (7/37) of UC cell lines and 7% (27/380) of patients with muscle-invasive UC display high EPAS1 mRNA and protein expression or/and EPAS1 alterations. EPAS1-altered tumors are associated with higher stage, grade, and lymph node metastasis as well as with shorter PFS (14 vs. 51 months, q = 0.01) and OS (15 vs. 55 months, q = 0.01). EPAS1 mRNA expression is directly correlated with that of its target-genes, including VEGF, FLT1, KDR, DLL4, CDH5, ANGPT1 (q < 0.001). While there is a slightly higher tumor mutational burden in EPAS1-altered tumors (9.9 vs. 4.9 mut/Mb), they are enriched in and associated with genes promoting immune evasion, including ARID5B, SPINT1, AAK1, CLIC3, SORT1, SASH1, and FGFR3, respectively (q < 0.001). Conclusions: HIF-2-altered UC has an aggressive clinical and a distinct genomic and immunogenomic profile enriched in angiogenesis- and immune evasion-promoting genes.

1. Introduction

Urothelial carcinoma is a lethal disease, particularly at advanced stages, yet it has seen unprecedented advances over the last five years. Novel therapeutic strategies, including immune checkpoint inhibitors (ICIs), antibody-drug conjugates (ADCs), and targeted therapies, for example against fibroblast growth factor receptor (FGFR)-mediated signaling, have entered the treatment paradigm and are leading to better patient outcomes [1,2,3,4,5]. Understanding who should get what treatment at what time, as well as predictive and prognostic biomarkers, will be key. Dissecting the molecular landscape of the disease may help identify particular subsets that could benefit from tailored therapies.
A major aspect in the development of various tumors, including UC, is growth under hypoxic or/and normoxic conditions that is orchestrated by activated signaling through two major transcription factors, hypoxia-inducible factor 1-alpha (HIF-1α) and HIF-2. High immunohistochemical (IHC) expression of HIF-1α in primary UC tumors is associated with higher-grade disease, vascular endothelial growth factor-related angiogenesis, and worse prognosis with regard to disease-free and overall survival in both superficial and invasive disease [6,7]. Hypoxia-induced autophagy may also propagate chemoresistance to cisplatin via the HIF-1α pathway [8]. Less is known about the role of HIF-2 and whether it may act as an oncogenic driver in UC.
This study aimed at unraveling the clinical and molecular landscape of HIF-2-altered UC by investigating publicly available next-generation sequencing (NGS) data from muscle-invasive UC cell lines and patient tumor samples.

2. Materials and Methods

The Cancer Cell Line Encyclopedia (CCLE) database [9] was used to query various primary cell lines for EPAS1 mRNA and protein expression.

2.1. Patient Characteristics

A publicly available database, cBioportal for Cancer Genomics (www.cbioportal.org, accessed on 27 September 2022), was used to query DNA and RNA sequencing data for EPAS1 mutations, copy number alterations, structural variants, mRNA and protein expression in a prospective multicenter cohort of 476 patients with muscle-invasive bladder UC (https://www.cbioportal.org/study/summary?id=blca_msk_tcga_2020, accessed on 25 October 2022).
The cohort included 334 patients analyzed via whole-exome sequencing and 142 patients analyzed via Memorial Sloan Kettering (MSK)-IMPACT sequencing. Sequencing was performed on fresh frozen or formalin-fixed paraffin-embedded specimens obtained via transurethral resection or RC. All patients were chemotherapy-naïve.
All computational analyses for exploring multidimensional cancer genomics data after integrating clinical profiles were performed as previously described [10,11].

2.2. Statistical Analyses

The Kaplan–Meier method was used to assess the association between altered and unaltered EPAS1 with progression-free survival (PFS) and overall survival (OS), using a threshold z-score of ≥2.0. The Chi-squared and Kruskal-Wallis tests were used to compare clinical and pathological characteristics with altered vs. unaltered EPAS1 tumors/patients. The student’s t-test was used to assess correlations between the expression of EPAS1 and highly expressed genes in EPAS1 altered vs. unaltered tumors. The Spearman’s correlation test was used to measure the degree of association between the expression of selected genes and EPAS1. Multiple hypothesis test correction was applied using the Benjamini–Hochberg method. p and q values of <0.05 were considered significant for all analyses.

3. Results

3.1. EPAS1 Expression in UC Cancer Cell Lines

To assess the expression of HIF-2 in UC relative to various cancer types, the Cancer Cell Line Encyclopedia (CCLE) [9] was interrogated for mRNA and protein levels of EPAS1, the gene encoding HIF-2 protein. Seven out of 37 bladder UC cases (19%) displayed high EPAS1 expression, which was the highest proportion among all different cell types (Figure 1).
Thus, HIF-2 is overexpressed in up to one-fifth of UC cancer cells and could represent another mechanism of UC proliferation and growth.

3.2. EPAS1 Genomic Alterations in UC Patients

To dissect the molecular landscape of EPAS1 molecular alterations in UC, publicly available data from 476 patients from MSK/TCGA 2020 were analyzed through cbioportal.org. EPAS1 was altered in 27 (7%) of patients-samples (Figure 2).
Most alterations involved high transcript levels of EPAS1 in 13 cases (3.5%), followed by mutations (1.6%), and amplification (1%), while another four patients (1%) had multiple alterations (Figure 3).
There were six mutations in total, of which five were missense and one splice (Table 1, Figure 4).

3.3. Prognostic Value of EPAS1 Alterations in UC Patients

This study then sought to examine whether there is a prognostic significance of EPAS1-altered UC in patients with muscle-invasive bladder UC. Kaplan-Meier analysis revealed that patients whose tumors displayed EPAS1 overexpression had a significantly shorter progression-free survival (PFS) (14 months) compared to those without alterations (51 months, q-value = 0.0123) (Figure 5a). Likewise, high EPAS1 expression predicted a shorter overall survival (OS, 15 vs. 55 months, q-value = 0.0123) (Figure 5b).

3.4. Clinical and Molecular Characteristics of HIF-2-Altered UC

To investigate any specific phenotypic/genotypic pattern in the subset of patients with HIF-2-altered UC, we compared the most common clinical, pathological, and molecular characteristics with those that did not demonstrate any HIF-2 alterations. The two groups were equally distributed with respect to age, sex, and race (Figure S1). There were 325 patients in total who were first diagnosed with primary muscle-invasive bladder cancer (MIBC), whereas 55 had progressed to T2 status (secondary MIBC) after an initial diagnosis of non-MIBC (Figure S1). The median number of mutations (298 vs. 144), as well as the total mutational burden (TMB) (9.9 vs. 4.9 mut/Mb) and nodal involvement (52% vs. 29%), were proportionately, but not significantly, more frequent in patients with tumors harboring high HIF-2 expression compared to those without HIF-2 alterations (Figure 6).
Additionally, there was a proportionally higher frequency of larger and high-grade tumors (T3: 52%; T4: 19%; high-grade: 96%) within the HIF-2-altered group compared to the unaltered group (T3: 39%; T4: 15%; high-grade: 72%); however, this did not reach the level of statistical significance (Figure 7). Fifty-five patients, of whom five with HIF-2-altered and 50 with non-altered tumors had received prior intravesical Bacillus Calmette-Guerin (BCG). There were no significant associations between prior intravesical therapy with BCG, or radiation therapy, and the presence of HIF-2 alterations (q-values > 0.05).
Gene-enrichment analysis in HIF-2-altered UC revealed interesting correlations with high ARID5B, SPINT1, AAK1, CLIC3, SORT1, and SASH1expression within a 15-gene list (Table 2).

3.5. EPAS1 Is Directly Associated with Expression of HIF-2-Target Genes

To functionally assess whether HIF-2 is transcriptionally active and mediates proliferation and angiogenic signals in HIF-2-altered tumors, mRNA levels of HIF-2-regulated genes, involved in various aspects of angiogenesis [12,13,14] were examined. Indeed, mRNA levels of VEGFD, FLT1, KDR, DLL4, CDH5, and ANGPT1 were significantly and directly associated with EPAS1 mRNA expression (Figure 8).

3.6. EPAS1 Is Associated with Expression of Immune Suppression Genes

Since UC is known to be immunogenic and responsive to immunotherapy including intravesical BCG and ICIs, this study sought to investigate whether this “aggressive” and poor prognosis subset of HIF-2-altered tumors could be associated with aberrant expression of key genes involved in regulating immune responses in UC. Based on previous works from others and ours [15,16,17], FGFR3 and IFNG genes were chosen, and their mRNA expression was assessed in association with EPAS1.
In accordance with their opposite biological roles in this context, FGFR3 was directly associated with EPAS1 expression (r = 0.18, q-value = 0.01) whereas IFNG was inversely correlated with EPAS1 (r = −0.15, q-value = 0.05) (Figure 9).

4. Discussion

This study examined the significance of HIF-2 in UC. First, by exploring HIF-2 mRNA and protein expression among several different cell types, it provides evidence that bladder UC is the most commonly affected tumor type with the highest frequency of HIF-2/EPAS1 overexpression. Second, by using the largest-to-date cohort of muscle-invasive UC this study revealed a distinct molecular and clinical profile in a subset of patients carrying somatic alterations in HIF-2/EPAS1.While these occur in nearly one-tenth of patients/tumors, they are associated with more aggressive histopathological features including higher T stage, presence of adenopathy, and high-grade disease. The presence of EPAS1 alterations, the majority of which involves high EPAS1 expression and/or amplification, is predictive of shorter PFS and OS. At the molecular level, HIF-2-altered UC tumors display a direct association between EPAS1 mRNA and expression of its target-genes, including VEGF, FLT1, KDR, DLL4, CDH5, and ANGPT1. While there is a slightly higher overall mutation burden in EPAS1-altered tumors, they are enriched in and associated with genes promoting immune evasion, including ARID5B, SPINT1, AAK1, CLIC3, SORT1, SASH1, and FGFR3, respectively.
Expression of HIF-2/EPAS1 in bladder UC cell lines and a small number of paraffin-embedded samples from patients has been previously reported to be more abundant in muscle-invasive compared to superficial disease [18]. Interestingly, HIF-2 protein was not found in cancer cells or in normal tissues but rather in stroma around cancer cells, particularly in tumor-associated macrophages (TAMs) within perinecrotic regions, whereby it correlated with higher pathological stage, grade, and VEGF-related tumor angiogenesis [19]. Moreover, patients with tumors harboring EPAS1-expressing TAMs were characterized by shorter cancer-specific survival [20].
This study, by providing a more comprehensive assessment of HIF-2 genomic alterations at the DNA, RNA, and protein level, confirms and complements previous preliminary evidence, supporting a negative prognostic role of HIF-2/EPAS1 expression on both PFS and OS. More importantly, this study describes for the first time the molecular landscape of HIF-2-altered muscle-invasive UC. It shows that HIF-2-overexpressing or/and amplified UC tumors are characterized by active angiogenic signaling, evidenced by the direct association of expression of EPAS1 with HIF-2-regulated genes involved in the initiation of angiogenesis (VEGF, FLT1, KDR, CDH5, DLL4), neo-vessel formation (VEGF, FLT1, KDR, CDH5, DLL4) and maturation (VEGF, ANGPT1) [11]. Further, these HIF-2-altered tumors demonstrate a slightly higher but not significantly different mutational load compared to UC lacking HIF-2 alterations. Thus, while an overall TMB of above 10 is usually predictive of response to ICIs in various primaries [21], HIF-2-overexpressing tumors behave rather in the opposite direction due to overexpression of ARID5B, SPINT1, AAK1, CLIC3, SORT1, and SASH1.
The AT-rich interaction domain (ARID) family is a superfamily belonging to switch/sucrose nonfermenting (SWI/SNF) chromatin remodeling complexes and the presence of inactivating mutations in any of their members, including ARID5B, has been associated with greater benefit from ICI therapy in pan-cancer analyses [22]. Conversely, the enrichment of ARID5B expression in HIF-2-altered tumors could suggest innate resistance to ICIs. SPINT1, also known as hepatocyte growth factor activator inhibitor 1 (HAI-1) is an endogenous protease inhibitor of HGF that is found at increased levels in tumors and urine from patients with muscle-invasive UC [23] and may be involved in migration and metastasis [24]. The finding of enhanced SPINT1 expression in HIF-2-altered tumors could also have an impact on these tumors’ resistance to ICIs in view of recent data including SPINT1 in an 8-gene prognostic signature that stratifies patients with bladder UC into two risk groups with distinct immune profile and responsiveness to immunotherapy [25]. AAK1 is involved in clathrin-mediated endocytosis of chemokine receptors and AAK1-inhibition in mice resulted in increased intratumoral infiltration, supporting an immune-suppressive role for this gene product, as well [26]. CLIC3 is a chloride intracellular channel protein the gene expression of which has been correlated with low immune infiltration of myeloid dendritic cells (DCs) and poor prognosis in hepatocellular carcinoma [27]. Therefore, it is possible that a similar immune suppressive role could be exerted in HIF-2-altered UC. SORT1 is another gene enriched in HIF-2 amplified UC tumors that are likely to be involved in allowing cancer cells to evade the immune system, given previously reported negative correlation with the infiltration levels of DCs, cytotoxic T cells, NK CD56dim cells, Tgd, and pDCs, as well as a positive correlation with immune evasion checkpoints including PDCD1, CD274, and CTLA-4 [28]. SASH1 encodes a scaffold molecule involved in NF-kappa-B activation and promotes immune escape via subsequent upregulation of PD-L1 expression [29,30].
In further support of this immune-suppressive environment forged by HIF-2 overexpression in UC is the presence of a direct association between EPAS1 and FGFR3 mRNA levels while the opposite was the case between EPAS1 and IFNG expression. FGFR3, as previously described by many groups, including ours, is a major player causing immune resistance in both lower and upper tract UC which is often associated with attenuated IFNG signaling [17]. In presence of an approved therapy for advanced UC, erdafitinib [5], FGFR3-inhibition could become a valid strategy to overcome the “immune-cold” nature of HIF-2-altered UC. Besides that, specific HIF-2 inhibitors, such as belzutifan, are already designed and in an advanced phase of testing in renal cell carcinoma, with promising activity [31]. Stromal HIF-2 exerts an immune suppressive role in other tumor types as well, for example, pancreatic adenocarcinoma [32]. By revealing a network of genes-players that are involved in this process in direct association with HIF-2 in UC, this study provides several insights for deepening our understanding of the mechanistic processes that are potentially involved.
The rest group of genes that were significantly upregulated in HIF-2-altered tumors are involved in urothelial differentiation (UPK2) [33], stemness (GPR78, HS3ST2) [34,35], epithelial-mesenchymal transition (CRYBG2) [36], PI3K/Akt/beta-catenin signaling (VGLL1) [37], MAPK signaling (SH3TC2, GAREM1) [38,39], coactivation of different nuclear receptors (NCOA1) [40], ER stress and hedgehog signaling (CREB3L2) [41], TGF-beta and WNT signaling (CRYBG2) [36].
This study was limited by its computational design and single cohort evaluation, which is however the largest reported-to-date with both molecular and survival data available. This work represents the first comprehensive effort to study the molecular and clinical significance of HIF-2-altered UC. This study’s findings place UC within a particular group of cancers, including renal cell carcinoma, HER2-positive breast cancer, hepatocellular carcinoma, and head and neck cancers, in which HIF-2/EPAS1 expression has prognostic value [42,43,44,45,46]. Additional studies are needed to further elucidate the genomic and immunogenomic profile of HIF-2-altered UC in order to design targeted therapies for this small but important subset of patients.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/curroncol29110681/s1, Figure S1: Clinico-pathological characteristics without significant differences between EPAS-altered and unaltered tumors. (a) Dot plot graphs of Diagnosis Age of EPAS-altered and un-altered tumors; Bar graph of (b) Race Category; (c) Sex; (d) Primary vs. Secondary; (e) Prior Intravesical Chemotherapy of EPAS-altered and un-altered tumors. # Number of samples (%).

Author Contributions

Conceptualization, P.J.V.; methodology, P.J.V. and I.A.T.; formal analysis, P.J.V. and I.A.T.; investigation, P.J.V., M.P., M.A., I.A.T., L.M., I.Z., E.T., M.S. and V.T.; resources, E.T., M.S. and V.T.; data curation, P.J.V. and I.A.T.; writing—original draft preparation, P.J.V., M.P. and M.A.; writing—review and editing, P.J.V., M.P., M.A., I.A.T., L.M., I.Z., E.T., M.S. and V.T.; supervision, P.J.V. and V.T.; project administration, P.J.V. and V.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study represents an analysis of publicly available data collected under Memorial Sloan-Kettering Cancer Center (MSKCC) and The Cancer Genome Atlas (TCGA) Institutional Review Board approval. The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board and Ethics Committees of MSKCC and TCGA.

Informed Consent Statement

Informed consent was obtained from all subjects involved in this study.

Data Availability Statement

All data used for this analysis are available at https://www.cbioportal.org/study/summary?id=blca_msk_tcga_2020 (accessed on 25 October 2022).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Barplot of EPAS1 expression across different cell lines from the Cancer Cell Line Encyclopedia (CCLE).
Figure 1. Barplot of EPAS1 expression across different cell lines from the Cancer Cell Line Encyclopedia (CCLE).
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Figure 2. Oncoplot of EPAS1 molecular alterations in MSK/TCGA 2020 cohort (n = 476). * altered/profiled: 27/380.
Figure 2. Oncoplot of EPAS1 molecular alterations in MSK/TCGA 2020 cohort (n = 476). * altered/profiled: 27/380.
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Figure 3. Distribution of EPAS1 molecular alterations in MSK/TCGA 2020 cohort (n = 476).
Figure 3. Distribution of EPAS1 molecular alterations in MSK/TCGA 2020 cohort (n = 476).
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Figure 4. Lollipop plot of EPAS1 mutations in MSK/TCGA 2020 cohort (n = 476). # Number of mutations.
Figure 4. Lollipop plot of EPAS1 mutations in MSK/TCGA 2020 cohort (n = 476). # Number of mutations.
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Figure 5. Kaplan Meier plots for (a) PFS and (b) OS in muscle-invasive UC patients from the MSK/TCGA 2020 cohort (n = 476).
Figure 5. Kaplan Meier plots for (a) PFS and (b) OS in muscle-invasive UC patients from the MSK/TCGA 2020 cohort (n = 476).
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Figure 6. Dot plot graphs of (a) mutation count and (b) total mutational burden (TMB) of HIF-2-altered and unaltered tumors. (c) Bar graph of lymph node status of HIF-2-altered and unaltered tumors. # Number of samples (%).
Figure 6. Dot plot graphs of (a) mutation count and (b) total mutational burden (TMB) of HIF-2-altered and unaltered tumors. (c) Bar graph of lymph node status of HIF-2-altered and unaltered tumors. # Number of samples (%).
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Figure 7. Distribution of (a) pathological T-stage and (b) grade among patients with HIF-2-altered and unaltered tumors. # Number of samples (%).
Figure 7. Distribution of (a) pathological T-stage and (b) grade among patients with HIF-2-altered and unaltered tumors. # Number of samples (%).
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Figure 8. mRNA log2 expression of HIF-2-regulated genes (a) VEGFD, (b) FLT1, (c) KDR, (d) DLL4, (e) CDH5, (f) ANGPT1 in association with EPAS1 expression.
Figure 8. mRNA log2 expression of HIF-2-regulated genes (a) VEGFD, (b) FLT1, (c) KDR, (d) DLL4, (e) CDH5, (f) ANGPT1 in association with EPAS1 expression.
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Figure 9. mRNA log2 expression of immune-modulating genes (a) FGFR3 and (b) IFNG in association with EPAS1 expression.
Figure 9. mRNA log2 expression of immune-modulating genes (a) FGFR3 and (b) IFNG in association with EPAS1 expression.
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Table 1. EPAS1 mutations in MSK/TCGA 2020 cohort (n = 476). # Total number of nonsynonymous mutations.
Table 1. EPAS1 mutations in MSK/TCGA 2020 cohort (n = 476). # Total number of nonsynonymous mutations.
Sample IDProtein ChangeMutation TypeAllele Freq (T)# Mut in Sample
MSKCC-0450_NRD539NMissenseNA61
TCGA-DK-A1A5-01R690QMissense0.25236
TCGA-E5-A4TZ-01D107NMissense0.16420
TCGA-FD-A5BV-01K7RMissense0.35111
TCGA-S5-A6DX-01X192_spliceSplice0.27600
TCGA-UY-A78N-01G792RMissense0.22267
Table 2. mRNA expression of genes enriched in HIF-2-altered tumors. μ: mean log2 gene expression, σ: standard deviation of log2 gene expression.
Table 2. mRNA expression of genes enriched in HIF-2-altered tumors. μ: mean log2 gene expression, σ: standard deviation of log2 gene expression.
GeneCytobandμ in Altered Groupμ in Unaltered Groupσ in Altered Group σ in Unaltered GroupLog Ratiop-Valueq-Value
VGLL1Xq26.311.019.071.42.851.942.8 × 10−76.996 × 10−4
UPK211q23.312.599.782.444.232.86.397 × 10−67.116 × 10−3
EPAS12p2113.412.041.310.911.351.979 × 10−50.0152
GPR784p16.15.773.921.772.811.852.527 × 10−50.0158
SPINT115q15.113.3512.60.731.10.743.785 × 10−50.0205
HS3ST216p12.24.723.421.31.891.34.418 × 10−50.0233
SH3TC25q328.37.490.791.70.816.16 × 10−50.0268
GAREM118q12.18.617.850.781.30.767.524 × 10−50.0284
AAK12p13.310.469.990.510.560.478.999 × 10−50.0328
NCOA12p23.310.519.990.570.650.539.475 × 10−50.0339
CLIC39q34.310.158.252.062.541.91.105 × 10−40.0382
ARID5B10q21.210.6110.020.640.890.591.273 × 10−40.0404
CREB3L27q3311.2510.570.760.930.681.446 × 10−40.0419
SORT11p13.311.1810.550.690.940.631.528 × 10−40.0419
SASH16q24.3-q25.110.159.340.910.930.811.541 × 10−40.0419
CRYBG21p36.119.728.661.191.741.061.86 × 10−40.0481
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Vlachostergios, P.J.; Tamposis, I.A.; Anagnostou, M.; Papathanassiou, M.; Mitrakas, L.; Zachos, I.; Thodou, E.; Samara, M.; Tzortzis, V. Hypoxia-Inducible Factor-2-Altered Urothelial Carcinoma: Clinical and Genomic Features. Curr. Oncol. 2022, 29, 8638-8649. https://doi.org/10.3390/curroncol29110681

AMA Style

Vlachostergios PJ, Tamposis IA, Anagnostou M, Papathanassiou M, Mitrakas L, Zachos I, Thodou E, Samara M, Tzortzis V. Hypoxia-Inducible Factor-2-Altered Urothelial Carcinoma: Clinical and Genomic Features. Current Oncology. 2022; 29(11):8638-8649. https://doi.org/10.3390/curroncol29110681

Chicago/Turabian Style

Vlachostergios, Panagiotis J., Ioannis A. Tamposis, Maria Anagnostou, Maria Papathanassiou, Lampros Mitrakas, Ioannis Zachos, Eleni Thodou, Maria Samara, and Vassilios Tzortzis. 2022. "Hypoxia-Inducible Factor-2-Altered Urothelial Carcinoma: Clinical and Genomic Features" Current Oncology 29, no. 11: 8638-8649. https://doi.org/10.3390/curroncol29110681

APA Style

Vlachostergios, P. J., Tamposis, I. A., Anagnostou, M., Papathanassiou, M., Mitrakas, L., Zachos, I., Thodou, E., Samara, M., & Tzortzis, V. (2022). Hypoxia-Inducible Factor-2-Altered Urothelial Carcinoma: Clinical and Genomic Features. Current Oncology, 29(11), 8638-8649. https://doi.org/10.3390/curroncol29110681

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