Literature DB >> 30350309

Combined genetic and epigenetic alterations of the TERT promoter affect clinical and biological behavior of bladder cancer.

Ricardo Leão1,2,3,4, Donghyun Lee2, Arnaldo Figueiredo3,4, Thomas Hermanns5, Peter Wild6, Martin Komosa2, Irene Lau2, Mathew Mistry2, Nuno Miguel Nunes2, Aryeh J Price7, Cindy Zhang2, Tatiana Lipman2, Cédric Poyet5, Nadejda Valtcheva6, Kathrin Oehl6, Hugo Coelho4, Rashid Sayyid1, Ana Melo Gomes8, Ligia Prado E Castro8, Joan Sweet9, João Vinagre10, Joana Apolónio11,12,13, Derek Stephens14, Inês Faleiro11,12,13, Kamel Fadaak1,15, Patrick O Richard1,16, Girish Kulkarni1, Alexandre R Zlotta1, Robert J Hamilton1, Pedro Castelo-Branco11,12,13, Uri Tabori2.   

Abstract

In urothelial bladder cancer (UBC), risk stratification remains an important unmet need. Limitless self-renewal, governed by TERT expression and telomerase activation, is crucial for cancer progression. Thus, telomerase activation through the interplay of mutations (TERTpMut ) and epigenetic alterations in the TERT promoter may provide further insight into UBC behavior. Here, we investigated the combined effect of TERTpMut and the TERT Hypermethylated Oncological Region (THOR) status on telomerase activation and patient outcome in a UBC international cohort (n = 237). We verified that TERTpMut were frequent (76.8%) and present in all stages and grades of UBC. Hypermethylation of THOR was associated with higher TERT expression and higher-risk disease in nonmuscle invasive bladder cancers (NMIBC). TERTpMut alone predicted disease recurrence (HR: 3.18, 95%CI 1.84 to 5.51, p < 0.0001) but not progression in NMIBC. Combined THORhigh /TERTpMut increased the risk of disease recurrence (HR 5.12, p < 0.0001) and progression (HR 3.92, p = 0.025). Increased THOR hypermethylation doubled the risk of stage progression of both TERTpwt and TERTpMut NMIBC. These results highlight that both mechanisms are common and coexist in bladder cancer and while TERTpMut is an early event in bladder carcinogenesis THOR hypermethylation is a dynamic process that contributes to disease progression. While the absence of alterations comprises an extremely indolent phenotype, the combined genetic and epigenetic alterations of TERT bring additional prognostic value in NMIBC and provide a novel insight into telomere biology in cancer.
© 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

Entities:  

Keywords:  TERT promoter methylation; TERT promoter mutations; progression; recurrence; telomerase; urothelial bladder cancer

Mesh:

Substances:

Year:  2018        PMID: 30350309      PMCID: PMC6519346          DOI: 10.1002/ijc.31935

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


high‐grade tumors low‐grade tumors muscle invasive bladder cancer mutant nonmuscle invasive bladder cancer telomerase reverse transcriptase TERT promoter mutations TERT hypermethylated oncological region THOR hypermethylated THOR hypomethylated (or nonmethylated) urothelial bladder cancer Wild type

Introduction

Urothelial bladder cancer (UBC) poses significant burden as it is responsible for 123,051 deaths annually and at any given time there are more than 500,000 UBC patients in the USA alone.1, 2 UBC is a remarkably heterogeneous disease, including nonmuscle invasive (NMIBC) and muscle invasive disease (MIBC). Pathological tumor stage and grade drive prognostic predictions and ultimately, therapy recommendations. However, pathology alone is often insufficient to predict individual outcomes. Grade and stage are crude measures and many patients are over‐ or undertreated as a result. Unlike other cancer types, few molecular markers currently guide UBC management.3, 4 At diagnosis the majority of UBC (75%) are NMIBC (Ta, T1), mostly low grade (LG). LG tumors are rarely lethal but recur locally with variable and unpredictable rates.5, 6 Muscle‐invasive bladder cancers (MIBC – T2, T3, T4), on the other hand, almost universally high‐grade (HG), can be lethal and associated with worse clinical outcomes.5, 6 A subset of NMIBC are HG and destined to progress to life‐threatening MIBC. There is an unmet need to improve the prediction of those patients with NMIBC at risk of progression to MIBC. The stakes are high as NMIBC can be managed with conservative therapy whereas MIBC requires either the removal of the bladder (cystectomy) or chemo‐radiation.7 Telomerase, the enzyme complex responsible for maintaining telomere length and genome integrity is responsible for cellular immortalization (a hallmark of cancer).8, 9, 10, 11 Telomerase activity is upregulated in 85–90% of all cancers.12, 13 Mutations in the promoter of the catalytic subunit of the enzyme, termed telomerase reverse transcriptase (TERT) are frequently observed in several cancers and drive telomere maintenance.14, 15, 16 In UBC, TERT promoter mutations (C to T transitions at chr5:1,295,228 and chr5:1,295,250) are more common than any other genetic alterations and can lead to increased TERT expression and telomerase activity.17, 18, 19, 20 Importantly, TERT promoter mutations are associated with worse clinical outcome in most studies further highlighting the role of telomerase activation in tumor progression and recurrence.18, 19, 20, 21, 22, 23, 24, 25, 26, 27 Noteworthy, not all TERTp Mut tumors display telomerase activation and non‐TERTp Mut UBC may express TERT suggesting that the presence of additional mechanisms are necessary for telomerase activation in UBC.28 Our group and others have identified a parallel epigenetic control of telomerase activation in cancer. Specifically, a region located upstream of the core mutation area, within the TERT promoter, termed THOR (TERT Hypermethylated Oncological Region) is hypermethylated in many TERT‐expressing cancers, is associated with telomerase activation and predicts clinical outcomes in multiple tumor types.14, 29, 30 We therefore hypothesized that dual mechanisms activate telomerase in UBC. Here, we studied the interaction and contribution of both genetic (TERTp Mut) and epigenetic (THOR) TERT promoter alterations to telomerase activation and prognosis in UBC, using a multi‐institutional cohort.

Material and Methods

Open access data

The Cancer Genome Atlas (TCGA) Research Network (http://cancergenome.nih.gov) database for UBC was analyzed. A single, probe located within THOR (cg11625005) was used for methylation analysis (Illumina Infinium 450 k array). TERT expression data were evaluated from the gene expression dataset (polyA+IlluminaHiSeq) (details in Supporting Information).

Patients

Patients’ selection and pathological characteristics are presented in Supporting Information Table S1. All patients underwent surgery (either transurethral bladder resection or radical cystectomy) and followed for a median period of 107.4 months (IQR: 32.4–266.8 months). 331 bladder tissue samples, from 331 patients (237 UBC and 94 normal urothelium) were collected and analyzed for THOR methylation, TERT promoter mutations and a subgroup for hTERT expression. Survival data was collected for the 237 patients with UBC. On 10 of these patients, an additional tumor at recurrence/progression was analyzed.

Molecular analysis of the TERT promoter

Sanger Sequencing was used to determined TERT promoter mutation status. Samples were considered mutant (TERTpMut) if any of the mutations (1,295,228 G > A or 1,295,250 G > A) were present (Supporting Information Table S2). Quantitative sodium bisulfite pyrosequencing was performed for THOR as previously described.30 TERT expression was performed with the QX200 Droplet Digital PCR system (see Supporting Information for details).

Statistical analysis

SAS version 9.4 was used for statistical analyses. THOR was initially evaluated as a continuous value to determine its association with normal and malignant urothelial bladder tissue and to further interrogate its association with stage, grade and high and low risk disease. For the prognostic model we dichotomized into high‐ and low‐THOR‐methylation groups by receiver operating characteristic (ROC) analysis. Clinical outcomes for the TERT promoter mutations and THOR methylation were determined by Kaplan–Meier Survival curves. Cox Proportional Hazards (CPH) models were used to assess univariate and multivariate significance (details Supporting Information).

Results

TERT promoter mutations are early and frequent events in UBC

TERT promoter mutations (TERTpMut) were highly prevalent (76.8%, n = 182). The predominant alteration was g.1,295,228 C > T which accounted for 90.1% of all mutations. No mutations were found in normal urothelium (Table 1).
Table 1

Summary of TERT promoter methylation (THOR) and TERT promoter mutation status

THOR Methylation
THORlow 11046.4%
THORhigh 12753.6%
StageTHORlow THORhigh
Ta4543.7%5856.3%
T14951%4749%
≥ T21642.1%2257.9%
Total11046.4%12753.6%
GradeTHORlow THORhigh
Low Grade7656.3%5943.5%
High Grade2827.5%7472.5%
Total10443.9%13356.1%
THOR Methylation
TERTpMutStatus
TERTpWt 5523.2%
TERTpMut 18276.8%
TERT promoter mutations (per mutation)
C228T16490.1%
C250T189.9%
C228T/C250T00%
Total182100%
THOR MethylationWt (n/%)Mutant (n/%)
Ta2827.2%7572.8%
T12324.0%7376.0%
≥ T2410.5%3489.5%
Total5523.2%18276.8%
THOR MethylationWt (n/%)Mutant (n/%)
Low Grade3626.7%9973.4%
High Grade1918.6%8381.4%
Total5523.2%18276.8%

THORlow = THOR hypomethylated; THORhigh = THOR hypermethylated; TERTpMutStatus = TERT promoter mutation status; TERTpMut = TERT promoter mutation; TERTpWt = TERT promoter wild type.

Frequency of TERT promoter mutations (wild type and mutant) and THOR methylation (hypomethylated and hypermethylated) according to stage and grade disease.

Summary of TERT promoter methylation (THOR) and TERT promoter mutation status THORlow = THOR hypomethylated; THORhigh = THOR hypermethylated; TERTpMutStatus = TERT promoter mutation status; TERTpMut = TERT promoter mutation; TERTpWt = TERT promoter wild type. Frequency of TERT promoter mutations (wild type and mutant) and THOR methylation (hypomethylated and hypermethylated) according to stage and grade disease. TERTpMut were identified in all stages and grades of UBC [detected in 69.3% of NMIBC (n = 135/199) and 73.4% of low‐grade lesions]. TERTpMut were identified in all metastatic (tumor positive) pelvic lymph nodes as well as in their corresponding primary tumor. Interestingly, TERTpMut were also identified in some tumor negative lymph nodes (Supporting Information Table S3). Consistent with previous studies, some of these TERTpMut UBC did not exhibit high TERT expression even when compared to UBC with a wild type promoter (TERTpWt) (Supporting Information Fig. S1A, S1C).18 These data support an early oncogenic role of TERTpMut and the possibility that other mechanisms may also upregulate TERT expression in UBC.

THOR hypermethylation is a dynamic process in UBC tumorigenesis

In order to evaluate the extent of THOR methylation and its effect on TERT expression in UBC we analyzed a representative CG site within THOR (cg11625005) in a cohort of MIBC from the TCGA (n = 433). When compared to normal urothelium, MIBC had significantly higher methylation at THOR and higher TERT mRNA levels (Supporting Information Fig. S2A, p < 0.0001; Supporting Information Fig.S2B, p < 0.0001). THOR hypermethylated (THORhigh) was associated with considerably higher TERT mRNA levels in malignant tissue (Supporting Information Fig. S2C, p < 0.0001) further supporting the role of TERT promoter methylation in TERT transcriptional activation. To directly test this observation we assayed multiple representative CG sites from THOR in normal and UBC samples from our multi‐institutional cohort. THOR was hypermethylated (THORhigh) in 127 UBC (53.6%, Table 1) and significantly hypermethylated in tumors compared to benign histology in nonmatched samples (Fig. 1 a, p < 0.0001). Additionally, paired samples from the same surgical specimen revealed that THOR methylation is 2 times higher in the tumor region than the corresponding normal urothelium (Fig. 1 b).
Figure 1

THOR methylation in urothelial bladder cancer. (a) THOR methylation status in normal urothelium and tumor tissue in the entire cohort (****, p < 0.0001) (b) The ratio of tumor/normal tissue in paired samples from the same patient (n = 38). Note a mean of twofold increase in THOR methylation status in the malignant tissue. (c) THOR methylation status in different tumor stages. (d) THOR methylation status within tumor grades, low grade has significantly higher THOR methylation than normal urothelium (****, p < 0.0001). NS = nonsignificant. Error bars represent median and Interquartile range (IQR). [Color figure can be viewed at wileyonlinelibrary.com]

THOR methylation in urothelial bladder cancer. (a) THOR methylation status in normal urothelium and tumor tissue in the entire cohort (****, p < 0.0001) (b) The ratio of tumor/normal tissue in paired samples from the same patient (n = 38). Note a mean of twofold increase in THOR methylation status in the malignant tissue. (c) THOR methylation status in different tumor stages. (d) THOR methylation status within tumor grades, low grade has significantly higher THOR methylation than normal urothelium (****, p < 0.0001). NS = nonsignificant. Error bars represent median and Interquartile range (IQR). [Color figure can be viewed at wileyonlinelibrary.com] Since UBC are stratified by invasiveness (T stage) and cellular morphology (grade) as predictors of tumor progression, we also tested THOR ability to distinguish stages and grades. THOR methylation was significantly higher in tumor tissue, even when comparing superficial lesions (Ta) with normal tissue (Fig. 1 c, p < 0.0001). THOR methylation levels are slightly higher in T1 disease than in Ta (Fig. 1 c, p = 0.049) but do not reach the same significant difference verified between normal urothelium and Ta disease. Similarly, THOR methylation demonstrated a progressive pattern from normal urothelium to low‐grade tumors and maintaining the same trend in high‐grade tumors (Fig. 1 d). Clinically, THOR exhibited higher hypermethylation in high‐risk (T1 and HG) when compared to low risk tumors (Supporting Information Fig. S3, p = 0.034).31 To further explore the changes in THOR over time, we assessed THOR methylation in UBC harvested from consecutive surgeries (at both the time of the initial diagnosis and the first recurrence or progression). A significant increase in THOR methylation levels was observed in tumors with stage progression (p = 0.018, mean increase fold of 1.76), but not in nonprogressive ones (p = 0.88) suggesting that THOR is hypermethylated in tumors harboring TERT promoter mutations (Supporting Information Table S4). Finally, analysis of TERT expression revealed that higher levels of THOR methylation are related to higher levels of expression (Supporting Information Fig. S1B, p = 0.049). The highest TERT expression is observed when both alterations (methylation and mutations) are present (Supporting Information Fig. S1C). Overall, these data suggest that THOR methylation increases progressively during the earlier stages of UBC and both TERT promoter mutations and hypermethylation contribute to increased telomerase expression.

Prognostic value of TERT promoter alterations in NMIBC

As expected, in these selected cohorts, pathological grade was predictive of progression (n = 199, p = 0.02) (Supporting Information Fig. S4). As THOR methylation increases with disease stage while TERTpMut is an early event, we assessed the value of TERT promoter alterations as markers of recurrence and disease progression in NMIBC. Consistent with previous reports, patients harboring TERTpMut had a significantly higher risk of recurrence (HR: 3.18, 95% CI 1.8–5.5; p < 0.0001; Table 2) with significantly decreased median disease free survival (Log rank p < 0.0001; Fig. 2 a).17, 18, 25 However, TERTpMut status did not reach statistical significance with respect to the risk of progression to invasive disease (p = 0.052) (Fig. 2 b, Table 2).17, 18
Table 2

Univariate Cox proportional hazards regression analysis of time for disease recurrence and disease progression in NMIBC (n = 199)

Disease RecurrenceDisease Progression
HR95% CIChi Sq P HR95% CIChi Sq P
TERTpMutationStatus
TERTpWt (n = 51)RefRef
TERTpMut (n = 148)3.181.8 to 5.517.16<0.00012.360.99 to 5.603.820.052
THORMethy
THORlow (n = 105)RefRef
THORhigh (n = 94)1.501.0 to 2.24.370.031.810.97 to 3.353.520.057
THORMethy/TERTpMutStatus
THORlow/TERTpWild (n = 35)RefRef
THORlow/TERTpMut + THORhigh/TERTpWild (n = 85) 4.532.0 to 1013.860.00022.640.77 to 9.12.380.123
THORhigh/TERTpMut (n = 79) 5.122.3 to 11.316.33<0.00013.921.2 to 13.04.970.025

HR = Hazard ratio; CI: confidence interval; Chi Sq = Chi Squared.

TERTpMutStatus = TERT promoter mutation status (for the studied mutations); TERTpWt = TERT promoter wild type; TERTpMut = TERT promoter mutant; THORMethy = THOR methylation status; THORhigh = THOR hypermethylated; THORlow = THOR hypomethylated.

Figure 2

Survival estimates for patients with NMIBC stratified by TERT promoter alterations. (a) Disease free and (b) progression free survival for patients with NMIBC stratified by TERT promoter mutation status. (c) Disease free and (d) progression free survival for patients with NMIBC stratified by TERT promoter methylation status. THORlow = THOR hypomethylated, THORhigh = THOR hypermethylated. TERTpWt = TERT promoter wild type (for the two studied mutations); TERTpMut = TERT promoter mutant. Yellow = TERTpWt and THORlow; Blue = TERTpMut and THORhigh.

Univariate Cox proportional hazards regression analysis of time for disease recurrence and disease progression in NMIBC (n = 199) HR = Hazard ratio; CI: confidence interval; Chi Sq = Chi Squared. TERTpMutStatus = TERT promoter mutation status (for the studied mutations); TERTpWt = TERT promoter wild type; TERTpMut = TERT promoter mutant; THORMethy = THOR methylation status; THORhigh = THOR hypermethylated; THORlow = THOR hypomethylated. Survival estimates for patients with NMIBC stratified by TERT promoter alterations. (a) Disease free and (b) progression free survival for patients with NMIBC stratified by TERT promoter mutation status. (c) Disease free and (d) progression free survival for patients with NMIBC stratified by TERT promoter methylation status. THORlow = THOR hypomethylated, THORhigh = THOR hypermethylated. TERTpWt = TERT promoter wild type (for the two studied mutations); TERTpMut = TERT promoter mutant. Yellow = TERTpWt and THORlow; Blue = TERTpMut and THORhigh. As for TERTpMut, THORhigh NMIBC recurred more frequently (HR: 1.5, 95% CI 1.02–2.20; p = 0.03; Table 2), with decreased median disease‐free survival (76 months vs. 31.7 months) (Log rank p = 0.034; Fig. 2 c). Also, THORhigh did not reach significance for the risk of progression (Log rank p = 0.059; Fig. 2 d, Table 2) in NMIBC.

Combined TERT promoter alterations predict disease progression in NMIBC

We then analyzed the combined prognostic impact of both TERT promoter alterations in NMIBC. We first evaluated the association of TERT promoter alterations and clinical outcomes according to grade and stage of NMIBC. THORhigh/TERT p Mut was the most common phenotype in NMIBC which recurred or progressed independently of stage (Supporting Information Figs. S5 and S6). The absence of any alteration (THORlow/TERT p Wt) was associated with a more indolent phenotype even in HG NMIBC (Supporting Information Fig. S6). Concomitant THOR hypermethylation and mutations (THORhigh/TERT p Mut) were associated with increased risk of disease recurrence (HR: 5.12; 95% CI 2.23–11.32, Table 2) with less than 30% disease free survival (DFS) at 10 years. In contrast, the absence of both alterations (THORlow/TERT p Wt) was associated with 80% DFS at 10 years (Fig. 3 a, Log rank p < 0.0001). The presence of either TERT promoter alterations (TERTpMut or THORhigh) increased the risk of disease recurrence with a worse disease free survival (30.8% and 45% at 10 years, respectively; Fig. 3 a).
Figure 3

Survival analysis of combined TERT promoter alterations in patients with NMIBC. Kaplan–Meier analysis for (a) disease free and (b) progression free survival stratified by combined TERT promoter mutations and THOR methylation status in nonmuscle invasive bladder cancer patients. THORlow/TERTpWt = blue; THORlow/TERTpMut = light red; THORhigh/TERTpWt = green; THORhigh/TERTpMut = dark red.

Survival analysis of combined TERT promoter alterations in patients with NMIBC. Kaplan–Meier analysis for (a) disease free and (b) progression free survival stratified by combined TERT promoter mutations and THOR methylation status in nonmuscle invasive bladder cancer patients. THORlow/TERTpWt = blue; THORlow/TERTpMut = light red; THORhigh/TERTpWt = green; THORhigh/TERTpMut = dark red. The presence of either TERT promoter alterations conferred a 4.53‐fold increased risk of recurrence (95% CI 2.05–10.01; p = 0.0002) but not for progression (p = 0.14). Combined THORhigh /TERT p Mut was a risk factor for both recurrence (HR: 5.4; CI 95% 2.42–12.04; p < 0.0001) and progression (HR: 4.01; CI 95% 1.19–13.5; p = 0.024; Table 2). Furthermore, THORlow/TERT p Wt NMIBC patients had a 91.4% progression free survival (PFS) at 10 years of follow‐up, significantly better than THORhigh/TERT p Mut (66.4% PFS; Log rank p = 0.019; Fig. 3 b). When adjusting for stage (T1 vs. Ta), grade (HG vs. LG), gender and age, THORhigh/TERT p Mut also displays a trend toward significance (HR: 3.32, CI 95% 0.99–11.16; p = 0.05) (Supporting Information Table S5). We then tested the effect of continuous increase in THOR methylation to enhance the predictive ability of disease progression in NMIBC, adjusting for TERT promoter mutations status. THOR levels affected disease progression in both TERTpMut and TERTpWt phenotypes. Increased THOR methylation from 10% (normal) to 50%, more than doubled the risk of disease progression independently of TERT promoter mutation status (Fig. 4).
Figure 4

Estimated probability of disease progression based on THOR methylation levels. Risk of progression is estimated by any TERT promoter mutation status (wild type or mutant) as a result of increased THOR methylation. Red‐TERT promoter mutant NMIBC, Black‐TERTpWt NMIBC.

Estimated probability of disease progression based on THOR methylation levels. Risk of progression is estimated by any TERT promoter mutation status (wild type or mutant) as a result of increased THOR methylation. Red‐TERT promoter mutant NMIBC, Black‐TERTpWt NMIBC.

Discussion

Our study is the first to assess concomitant TERT promoter alterations in UBC. Our results suggest a temporal and cooperative association between TERT promoter mutations and methylation, impacting telomere biology and clinical outcomes. TERT expression is upregulated in 85–90% of tumors via multiple molecular mechanisms including somatic mutations, TERT amplifications, TERT structural variants and epigenetic modifications through TERT promoter methylation.14 Our data reveal that 76.8% of UBC cancers harbor TERTpMut and 53.6% have THORhigh, and 24.6% (n = 49/199) of LG NMIBC acquired both alterations. The kinetics and interaction of these alterations in UBC, and the resulting effect on TERT expression are still unknown and important to decipher. The observation that TERTpMut are found ubiquitously across all stages and grades of UBC, even in low stage and grade lesions with low TERT expression, suggests that TERTpMut is an early event necessary but insufficient by itself to drive disease progression. In fact other studies also verified that TERT promoter mutant UBC might express low mRNA levels.18 Similar data exist in other tumors where TERT promoter mutations are common. For example, in gliomas, TERTpMut are detected in lower grade lesions where TERT expression and self‐renewal are low.32, 33 TERTpMut is necessary but not sufficient to maintain telomere length or telomerase upregulation.28 In TERTpMut tumors additional alterations are likely required to upregulate telomerase and promote tumor progression. We previously showed that THOR hypermethylation is a dynamic process during gliomagenesis and prostate cancer progression.29, 30 In UBC, TERTpMut is an early event while THOR hypermethylation is associated with disease progression and increased TERT expression. This pattern has been observed in other cancer types.14, 29, 30 A weakness of the WHO 2004/2016 pathological classification of NMIBC is that it gives almost no prognostic information in T1 patients as nearly all are classified as HG.34 In our study, TERT promoter alterations add significant value as prognostic biomarkers. For example, T1 THORlow/TERTpWt tumors, including HG lesions, carry a risk of progression of less than 10%, in sharp contrast with the 52% of progression for THORhigh/TERTpMut. If confirmed in prospective studies, this may help guide management when choosing conservative vs. aggressive therapy for these patients. Given the high recurrence rate in NMIBC, the identification of patients with very low potential for disease recurrence and progression might change the costly and invasive follow‐up protocols in favor of individualized strategies. In contrast, THORhigh/TERTpMut significantly increased the chance of NMIBC recurrence and is a risk factor for disease progression across stages and grades. Furthermore, for the different TERT promoter mutation status, continuous THOR hypermethylation increases the risk of disease progression, reinforcing the dynamic and crucial role of THOR methylation in bladder cancer tumorigenesis. Further supporting the role of THOR methylation, tumors exhibited higher THOR methylation at the time of stage progression. Together, our findings support the hypothesis that TERTpMut are early triggers in tumorigenesis which require cooperation with other events including THOR hypermethylation to ensure telomerase activation, immortality and disease progression. The exact mechanism of telomerase activation by promoter hypermethylation remains under investigation. One possible explanation is that methylation leads to three‐dimensional changes in local chromatin architecture resulting in increased transcription.35 Alternatively, methylation of this distal part of the promoter might also prevent the binding of transcriptional repressors, which in turn enables TERT expression.36 These mechanisms ought to be explored further as they may result in the development of novel targeted therapies. Demethylating agents have shown some encouraging results in cancers where THOR is hypermethylated, and may have a role in decreasing the risk of progression of NMIBC.37 Our study has limitations due to its retrospective nature, patient selection, absence of centralized pathology review (although we chose specifically the HG vs. LG 2004/16 WHO classification less prone to inter‐observer variability).34 Importantly, one should interpret the univariate and multivariate analysis with caution as Ta ant T1 tumors are treated differently. Furthermore, since large numbers of tumors are necessary for survival analysis in NMIBC, in our multivariate analysis THORHigh/TERTpMut only showed a trend toward significance as a risk factor for disease progression. Future studies with higher number of NMIBC tumors are needed to empower and statically validate our preliminary findings. Similarly, the limited numbers of patients with muscle invasive disease prevented a meaningful evaluation of this subgroup. However, since most of the prognostic role of TERT activation through THOR hypermethylation is observed during early stages of tumor development in multiple cancers, and NMIBC was the focus of the present study, our results suggest a similar process in UBC carcinogenesis. In summary, our study further supports the role of epigenetic control of the TERT promoter by THOR hypermethylation as a dynamic and progressive process in carcinogenesis, including UBC. The concomitant evaluation of TERT promoter mutation‐methylation in NMIBC has identified a group with more indolent outcome, independently from grade or stage. Additional prospective studies should confirm that THORlow/TERTpWt tumors have a reduced risk of recurrence and progression to invasive disease. This should be explored in other tumor types known for harboring TERT promoter mutations and telomerase upregulation. A better understanding of the interplay between these two tumor‐specific TERT activating mechanisms might improve clinical management in UBC and other TERT‐dependent cancers. Appendix S1: Supporting Information Click here for additional data file.
  36 in total

1.  Frequency of TERT promoter mutations in human cancers.

Authors:  João Vinagre; Ana Almeida; Helena Pópulo; Rui Batista; Joana Lyra; Vasco Pinto; Ricardo Coelho; Ricardo Celestino; Hugo Prazeres; Luis Lima; Miguel Melo; Adriana Gaspar da Rocha; Ana Preto; Patrícia Castro; Ligia Castro; Fernando Pardal; José Manuel Lopes; Lúcio Lara Santos; Rui Manuel Reis; José Cameselle-Teijeiro; Manuel Sobrinho-Simões; Jorge Lima; Valdemar Máximo; Paula Soares
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

2.  Telomerase reverse transcriptase promoter mutations in bladder cancer: high frequency across stages, detection in urine, and lack of association with outcome.

Authors:  Yves Allory; Willemien Beukers; Ana Sagrera; Marta Flández; Miriam Marqués; Mirari Márquez; Kirstin A van der Keur; Lars Dyrskjot; Irene Lurkin; Marcel Vermeij; Alfredo Carrato; Josep Lloreta; José A Lorente; Enrique Carrillo-de Santa Pau; Roy G Masius; Manolis Kogevinas; Ewout W Steyerberg; Angela A G van Tilborg; Cheno Abas; Torben F Orntoft; Tahlita C M Zuiverloon; Núria Malats; Ellen C Zwarthoff; Francisco X Real
Journal:  Eur Urol       Date:  2013-09-07       Impact factor: 20.096

3.  Predicting recurrence and progression in individual patients with stage Ta T1 bladder cancer using EORTC risk tables: a combined analysis of 2596 patients from seven EORTC trials.

Authors:  Richard J Sylvester; Adrian P M van der Meijden; Willem Oosterlinck; J Alfred Witjes; Christian Bouffioux; Louis Denis; Donald W W Newling; Karlheinz Kurth
Journal:  Eur Urol       Date:  2006-01-17       Impact factor: 20.096

4.  The role of telomere maintenance in the spontaneous growth arrest of pediatric low-grade gliomas.

Authors:  Uri Tabori; Bisera Vukovic; Maria Zielenska; Cynthia Hawkins; Ilan Braude; James Rutka; Eric Bouffet; Jeremy Squire; David Malkin
Journal:  Neoplasia       Date:  2006-02       Impact factor: 5.715

5.  Regional activation of the cancer genome by long-range epigenetic remodeling.

Authors:  Saul A Bert; Mark D Robinson; Dario Strbenac; Aaron L Statham; Jenny Z Song; Toby Hulf; Robert L Sutherland; Marcel W Coolen; Clare Stirzaker; Susan J Clark
Journal:  Cancer Cell       Date:  2012-12-13       Impact factor: 31.743

6.  Methylation of the TERT promoter and risk stratification of childhood brain tumours: an integrative genomic and molecular study.

Authors:  Pedro Castelo-Branco; Sanaa Choufani; Stephen Mack; Denis Gallagher; Cindy Zhang; Tatiana Lipman; Nataliya Zhukova; Erin J Walker; Dianna Martin; Diana Merino; Jonathan D Wasserman; Cynthia Elizabeth; Noa Alon; Libo Zhang; Volker Hovestadt; Marcel Kool; David T W Jones; Gelareh Zadeh; Sidney Croul; Cynthia Hawkins; Johann Hitzler; Jean C Y Wang; Sylvain Baruchel; Peter B Dirks; David Malkin; Stefan Pfister; Michael D Taylor; Rosanna Weksberg; Uri Tabori
Journal:  Lancet Oncol       Date:  2013-04-16       Impact factor: 41.316

7.  TERT promoter mutations in familial and sporadic melanoma.

Authors:  Susanne Horn; Adina Figl; P Sivaramakrishna Rachakonda; Christine Fischer; Antje Sucker; Andreas Gast; Stephanie Kadel; Iris Moll; Eduardo Nagore; Kari Hemminki; Dirk Schadendorf; Rajiv Kumar
Journal:  Science       Date:  2013-01-24       Impact factor: 47.728

8.  Highly recurrent TERT promoter mutations in human melanoma.

Authors:  Franklin W Huang; Eran Hodis; Mary Jue Xu; Gregory V Kryukov; Lynda Chin; Levi A Garraway
Journal:  Science       Date:  2013-01-24       Impact factor: 47.728

Review 9.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

10.  Dual role of DNA methylation inside and outside of CTCF-binding regions in the transcriptional regulation of the telomerase hTERT gene.

Authors:  S Renaud; D Loukinov; Z Abdullaev; I Guilleret; F T Bosman; V Lobanenkov; J Benhattar
Journal:  Nucleic Acids Res       Date:  2007-01-31       Impact factor: 16.971

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  20 in total

1.  Prognostic implication of TERT promoter mutation and circulating tumor cells in muscle-invasive bladder cancer.

Authors:  Raquel Carrasco; Mercedes Ingelmo-Torres; Ascensión Gómez; Fiorella L Roldán; Natalia Segura; María José Ribal; Antonio Alcaraz; Laura Izquierdo; Lourdes Mengual
Journal:  World J Urol       Date:  2022-06-17       Impact factor: 3.661

Review 2.  Advances in sex disparities for cancer immunotherapy: unveiling the dilemma of Yin and Yang.

Authors:  Junfu Ma; Yanxin Yao; Ye Tian; Kexin Chen; Ben Liu
Journal:  Biol Sex Differ       Date:  2022-10-22       Impact factor: 8.811

3.  Telomere dysfunction cooperates with epigenetic alterations to impair murine embryonic stem cell fate commitment.

Authors:  Aditi Qamra; Tsz Wai Chu; Mélanie Criqui; Monika Sharma; Julissa Tsao; Danielle A Henry; Dalia Barsyte-Lovejoy; Cheryl H Arrowsmith; Neil Winegarden; Mathieu Lupien; Lea Harrington
Journal:  Elife       Date:  2020-04-16       Impact factor: 8.140

4.  Telomerase activation in the treatment of aging or degenerative diseases: a systematic review.

Authors:  P Prieto-Oliveira
Journal:  Mol Cell Biochem       Date:  2020-10-01       Impact factor: 3.396

5.  Dual role of allele-specific DNA hypermethylation within the TERT promoter in cancer.

Authors:  Donghyun D Lee; Martin Komosa; Sumedha Sudhaman; Ricardo Leão; Cindy H Zhang; Joana D Apolonio; Thomas Hermanns; Peter J Wild; Helmut Klocker; Farshad Nassiri; Gelareh Zadeh; Bill H Diplas; Hai Yan; Steven Gallinger; Trevor J Pugh; Vijay Ramaswamy; Michael D Taylor; Pedro Castelo-Branco; Nuno Miguel Nunes; Uri Tabori
Journal:  J Clin Invest       Date:  2021-11-01       Impact factor: 14.808

Review 6.  Advances in bladder cancer biology and therapy.

Authors:  Linda Tran; Jin-Fen Xiao; Neeraj Agarwal; Jason E Duex; Dan Theodorescu
Journal:  Nat Rev Cancer       Date:  2020-12-02       Impact factor: 69.800

Review 7.  Non-Muscular Invasive Bladder Cancer: Re-envisioning Therapeutic Journey from Traditional to Regenerative Interventions.

Authors:  Kuan-Wei Shih; Wei-Chieh Chen; Ching-Hsin Chang; Ting-En Tai; Jeng-Cheng Wu; Andy C Huang; Ming-Che Liu
Journal:  Aging Dis       Date:  2021-06-01       Impact factor: 6.745

Review 8.  Telomerase as a Target for Therapeutic Cancer Vaccines and Considerations for Optimizing Their Clinical Potential.

Authors:  Espen Basmo Ellingsen; Sara M Mangsbo; Eivind Hovig; Gustav Gaudernack
Journal:  Front Immunol       Date:  2021-07-05       Impact factor: 7.561

9.  Complex context relationships between DNA methylation and accessibility, histone marks, and hTERT gene expression in acute promyelocytic leukemia cells: perspectives for all-trans retinoic acid in cancer therapy.

Authors:  Delphine Garsuault; Claire Bouyer; Eric Nguyen; Rohan Kandhari; Martina Prochazkova-Carlotti; Edith Chevret; Patricia Forgez; Evelyne Ségal-Bendirdjian
Journal:  Mol Oncol       Date:  2020-04-22       Impact factor: 6.603

Review 10.  Biomarkers for Bladder Cancer Diagnosis and Surveillance: A Comprehensive Review.

Authors:  Rui Batista; Nuno Vinagre; Sara Meireles; João Vinagre; Hugo Prazeres; Ricardo Leão; Valdemar Máximo; Paula Soares
Journal:  Diagnostics (Basel)       Date:  2020-01-13
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