Literature DB >> 27286260

Recurrence pattern and TP53 mutation in upper urinary tract urothelial carcinoma.

Chung-Hsin Chen1, Kathleen G Dickman2,3, Chao-Yuan Huang1, Chia-Tung Shun4, Huai-Ching Tai1, Kuo-How Huang1, Shuo-Meng Wang1, Yuan-Ju Lee1, Arthur P Grollman2,3, Yeong-Shiau Pu1.   

Abstract

TP53 mutation patterns are associated with prognosis of various cancers. This study was designed to investigate the association between TP53 mutation patterns and recurrence patterns in upper urinary tract urothelial carcinoma (UTUC) patients. A total of 165 consecutive UTUC patients who underwent nephroureterectomies were enrolled for measuring mutation patterns of TP53 gene from exome 2 to 11. Bladder recurrence, contralateral UTUC recurrence, and metastases were compared among groups by using log-rank test and Cox proportional hazard model. Single base substitution as an A:T to T:A transversion was noted in 55 (33.3%) patients (AT group). Forty-two (25.5%) patients had TP53 mutations with only other than A:T to T:A transversion (NAT group), and 68 patients (41.2%) had wide-type TP53 (WT group). AT group was predominately female (64%, 52%, 29%, respectively), had a higher incidence of end-stage renal disease (24%, 14%, 10%, respectively), and had more high-grade tumors (82%, 74%, 62%, respectively) compared to NAT and WT groups. With adjustment of tumor grade/stages, bladder and contralateral UTUC recurrence-free survival duration was shortest in NAT (p < 0.001) and AT group (p < 0.001), respectively. NAT group had a shorter metastasis-free survival duration than the other two groups combined (p = 0.018). As a result, A:T to T:A transversion increased contralateral UTUC recurrence risk, but other mutations in TP53 raised the hazard of bladder recurrence and metastases. Therefore, TP53 mutation pattern may be a useful biomarker to predict recurrence patterns of UTUC patients.

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Keywords:  aristolochic acid; cigarette smoking; herbs; renal pelvis; ureter

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Year:  2016        PMID: 27286260      PMCID: PMC5216718          DOI: 10.18632/oncotarget.9904

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

TP53 is the most frequent gene involved in human cancers and has been widely evaluated in urothelial carcinoma (UC). The spectrum of TP53 mutations can be used as prognostic molecular biomarkers for various cancers [1-3]. Abnormal p53 protein translated by the mutant gene has a longer half-life than the wild-type protein, resulting in cellular accumulation of abnormal p53 [4]. Based on this characteristic, immunohistochemical (IHC) staining for p53 has been widely utilized as a surrogate marker for the mutant TP53 gene [5]. A meta-analysis reviewed 7 small UTUC series and concluded that p53 overexpression as determined by IHC staining could be a biomarker for predicting poor disease outcomes [6]. Recently, A > T transversions in the TP53 gene of UTUC tumors have been documented as being associated with aristolochic acid (AA) exposure [7]. We have previously shown that AA-induced UTUC, defined by A:T to T:A transversion in tumors and aristolactam-DNA adducts in the renal cortex, has characteristic outcomes, including likely contralateral upper urinary tract recurrence [8]. In addition, TP53 gene mutation patterns were shown to be associated with different prognoses in other cancers, such as colorectal [9] and breast cancers [10]. Together with the above evidence, TP53 mutation pattern may be correlated with disease outcomes and recurrence patterns of UTUC. However, studies that describe the predictive value of TP53 mutations and patterns in the prognosis of UTUCs have not been reported until now. Herein, we analyzed TP53 mutation patterns in UTUC and evaluated the association between patterns of mutations and recurrences. In addition, the association of p53 overexpression and TP53 mutation pattern was also evaluated. CKD = chronic kidney disease; ESRD = end-stage renal disease; DM = diabetes mellitus; AL-DNA = aristolactam-DNA; IHC = immunohistochemical. heavy smoking was defined as more than 20 pack-years.

RESULTS

Patient demographics and clinical features (Table 1)

In this cohort, 55 (33.3%), 42 (25.5%), and 68 (41.2%) patients were classified as AT group (TP53 mutation with A:T to T:A SBS), NAT group (TP53 mutation with only other than A:T to T:A SBS), and WT group (wild-type TP53), respectively. The distribution of TP53 mutation patterns was shown in Figure 1 according to patient groups. Eight (14.5%) patients in AT group had both A:T to T:A SBS and non-A:T to T:A SBS. There were more females in AT group than in NAT group or WT group. A total of 35 (64%) AT group patients were female; In contrast, 71% of WT group patients were males. Only 36 (21.8%) patients in this cohort had a history of smoking, and the smoking rate was insignificantly lower in AT group than WT group (p = 0.055). WT group (26%) had more smoking histories of ≥ 20 pack-years than AT group (5%) (p = 0.009). In addition, TP53 mutation rate was higher in the patients without smoking histories (72%) than those with smoking histories (47%) (Table S1). In the patients with TP53 mutations, A:T to T:A transversion was more frequently noted in non-smokers, but mutation only other than A:T to T:A transversion was more identified in smokers. End-stage renal disease (ESRD) was more common in AT group (24%) than in NAT group and WT group combined (12%) (p = 0.0495). Diabetes mellitus was more frequently noted in WT group (33%) than the other two groups combined (18%) (p = 0.026). The median follow-up duration from the date of nephroureterectomies was 59 months (from 4 to 208 months) without significant difference among groups.
Figure 1

The distribution of TP53 mutation pattern in AT group and NAT group patients

AT group refers to those with A:T > T:A transversion in TP53 gene. NAT group refers to the patients have TP53 mutations, but no A:T > T:A transversion.

The distribution of TP53 mutation pattern in AT group and NAT group patients

AT group refers to those with A:T > T:A transversion in TP53 gene. NAT group refers to the patients have TP53 mutations, but no A:T > T:A transversion.

Tumor characteristics (Table 1)

An increased number of high-grade tumors were observed in AT group (89%) compared to NAT group (74%) or WT group (62%). AT group had more nodal or metastatic diseases (11%) upon diagnosis of UTUC than NAT group (2%) or WT group (4%), although the rate was not statistically significant. Upon the UTUC diagnosis, 51 (31%) of all patients had tumors at ≥ 2 locations, including renal pelvis, upper ureter, lower ureter, and bladder. Multiple tumor locations and synchronous bladder tumor rates in the three groups were similar. IHC = immunohistochemical.

Association among TP53 mutation patterns, types and p53 immunohistochemical staining (Tables 1 and 2)

Positively-stained cells were more frequently observed in AT group and NAT group than WT group (62%, 71%, and 46%, respectively). Only 8% of WT group tumors had more than 50% of p53 IHC staining (30% in AT group and 27% in NAT group). Accordingly, TP53 mutations were associated with higher percentage of p53 IHC staining in tumors. However, no significant difference of p53 IHC staining result was noted between AT group and NAT group. A significant association was identified among TP53 mutation types and p53 IHC staining (Table 2). Tumors with more than 50% of p53 IHC staining had a higher proportion (79%) of missense mutations than did those with < = 50% and negative results of IHC staining (24% and 15%, respectively; p < 0.001). Missense mutations were most frequently identified in UTUC tumors of AT (45%) and NAT (69%) groups.
Table 2

Association between TP53 mutation type, pattern and p53 immunohistochemical staining

Mutation type
MissenseNonsenseSilentWild type
p53 IHC staining
> 50%23 (79%)02 (7%)4 (14%)
< = 50%11 (24%)7 (16%)7 (16%)20 (44%)
Negative8 (15%)12 (23%)5 (9%)28 (53%)
TP53 mutation pattern
Mutations with A > T18 (45%)10 (25%)12 (30%)0
Mutations other than A > T24 (69%)9 (26%)2 (6%)0
Wild type00052 (100%)

IHC = immunohistochemical.

Bladder tumor recurrence

Of all patients, 82 (49.7%) had bladder recurrences during a median follow-up of 59 months (range: 4 to 208 months). Forty-four (26.7%) with previous or synchronous bladder tumors (n = 41) or prophylactic cystectomy (n = 3) were excluded from bladder recurrence analysis. Thirty-nine (32.2%) of the remaining patients (n = 121) had newly diagnosed bladder cancer recurrences. The median time to bladder recurrence was only 7 months (range: 3 to 65) after nephroureterectomy. Compared to AT group and WT group, patients in NAT group had shorter bladder recurrence-free survival duration (log-rank test, p = 0.037 and 0.005, respectively) (Figure 2A). In univariable analysis of Cox proportional hazard model (Table 3), diabetes and TP53 mutation pattern were the only two significant prognosticators of bladder recurrence. Lower ureteral tumor location was a statistically insignificant factor for bladder recurrence (p = 0.065). Multivariable analysis of the full model (model 1) revealed that diabetes and TP53 mutations other than A:T to T:A transversions (NAT group) were associated with more bladder recurrences. In the model filled with interested variables and clinically important prognosticators, including gender, tumor grade, stage, and lower ureteral tumors, TP53 mutations other than A:T to T:A transversions still presented as an independent variable predicting a higher risk (HR: 8.4 and 3.7, p < 0.001 and = 0.01, respectively) of bladder recurrence compared with wild-type TP53 and TP53 mutations with A:T to T:A transversions.
Figure 2

Outcomes of upper urinary tract urothelial carcinoma (UTUC) patients stratified by mutational status of TP53

AT group refers to those with A:T > T:A transversion in TP53 gene. NAT group refers to the patients have TP53 mutations, but no A:T > T:A transversion. WT group represents those without TP53 mutation.

Table 3

The Cox proportional hazard model of bladder recurrence in UTUC patients

VariablesUnivariable analysisMultivariable analysis
Case numberaRecurrence eventsModel 1Model 2b
HRrangep valueHRrangep valueHRrangep value
Age121390.980.95–1.010.130.960.92–1.000.076
Sex
Female5715111
Male64241.560.81–3.000.1792.380.93–6.080.072.911.29–6.590.01
Smokers
No973011
Yes2491.290.61–2.720.5111.60.78–3.260.196
Heavy smokersc
No102321
Yes1971.270.56–2.890.565
Herbs usage
No1013011
Yes2091.60.76–3.390.2182.770.48–16.000.254
AL-DNA adduct
No421311
Yes79261.040.52–2.080.9070.880.33–2.310.794
TP53 mutational pattern
Wild type4911111
Mutation with A > T39121.340.58–3.100.4973.020.85–10.710.0882.910.97–8.760.058
Mutation other than A > T33162.941.33–6.490.0089.932.87–34.37<0.0018.42.64–26.74< 0.001
p53 IHC staining
Negative4215111
<= 50%3291.060.49–2.300.8771.260.48–3.310.6411.120.47–2.700.798
> 50%1772.180.94–5.060.0693.160.94–10.600.0631.810.66–4.940.245
ESRD
No1073411
Yes1451.090.43–2.800.8540.430.05–3.420.427
DM
No9225111
Yes29142.371.22–4.610.0116.762.28–20.050.0014.291.77–10.370.001
Hypertension
No681711
Yes53221.560.83–2.970.172.130.87–5.210.098
Grade
Low3514111
High86250.890.46–1.730.7330.90.35–2.290.8230.720.30–1.710.453
Stage
Ta-1NoMo6219111
T2-4NoMo51201.240.66–2.340.511.320.61–2.810.4811.210.63–2.310.571
Multiple tumor location
No1093211
Yes1271.690.60–4.780.3241.250.19–8.270.816
Lower ureter location
No8323111
Yes38161.850.96–3.560.0651.070.38–3.030.91.120.43–2.940.817

UTUC = upper urinary tract urothelial carcinoma; AL-DNA = aristolactam-DNA; IHC = immunohistochemical; ESRD = end-stage renal disease; DM = diabetes mellitus.

The patients with synchronous or previous bladder cancers or receiving radical cystectomies were excluded from this study.

Model 2 includes variables with p < 0.05 in the univariable analysis, and classical prognostic factors.

Heavy smoking was defined as more than 20 pack-years.

Outcomes of upper urinary tract urothelial carcinoma (UTUC) patients stratified by mutational status of TP53

AT group refers to those with A:T > T:A transversion in TP53 gene. NAT group refers to the patients have TP53 mutations, but no A:T > T:A transversion. WT group represents those without TP53 mutation. UTUC = upper urinary tract urothelial carcinoma; AL-DNA = aristolactam-DNA; IHC = immunohistochemical; ESRD = end-stage renal disease; DM = diabetes mellitus. The patients with synchronous or previous bladder cancers or receiving radical cystectomies were excluded from this study. Model 2 includes variables with p < 0.05 in the univariable analysis, and classical prognostic factors. Heavy smoking was defined as more than 20 pack-years. A total of 57% of the patients with previous or synchronous bladder cancer had TP53 mutations, whereas 72% of those with bladder recurrence after nephroureterectomies had TP53 mutations. In addition, mutation other than A:T to T:A transversion was more frequently noted in the UTUC patients with bladder recurrence after nephroureterectomies compared to those with previous or synchronous bladder cancer history (Table S2).

Metachronous contralateral UTUC recurrence

In this cohort, previous, synchronous or metachronous bilateral UTUC diseases were identified in 18 patients, of whom 14 (78%) from AT group, 3 (17%) from NAT group, and 1 (6%) from WT group. Nine patients in AT group and 1 patient in NAT group had contralateral UTUC occurrences after nephroureterectomy. None of the WT group patients had metachronous contralateral UTUC. In the patients with synchronous or previous contralateral UTUC (N = 8), 5 and 2 were AT and NAT groups, respectively. Only one patient had no mutation in TP53 gene. Excluding those with previous and synchronous UTUC diseases, we identified AT group had a shorter contralateral UTUC-free survival duration than the other two groups (log-rank test, both p < 0.001) (Figure 2B). Univariable analysis revealed herbs usage, aristolactam-DNA adducts, TP53 mutation with A:T to T:A transversions, and diabetes increased risk of metachronous contralateral UTUC recurrence. Multivariable analysis can't be performed due to the limited number of events.

Metastasis

Of patients with non-metastatic diseases before nephroureterectomy (n = 155), metastases occurred in 7 (14.3%), 12 (29.3%), and 5 (7.7%) patients in AT, NAT and WT groups, respectively. Median duration between metastasis and nephroureterectomy was 8.5 months. NAT group patients had a shorter metastasis-free survival than the other two groups (Figure 2C). Tumor stage, grade, p53 IHC staining and TP53 mutation patterns were statistically significant prognosticators of metastases. After stratifying for tumor grade and stage, NAT group predicted earlier metastasis compared to AT and WT groups combined in the multivariable model (HR = 2.50, 95% CI. 1.12–5.58, p = 0.026).

Survival outcomes

A total of 44 patients died during a median follow-up of 59 months. Older age, advanced tumor grade and stage predicted shorter overall survival duration in univariable and multivariable analyses. Cancer-specific deaths were noted in 30 UTUC patients, and only tumor grade and stage were prognosticators. Patients in NAT group had an insignificantly increased risk of cancer-specific death compared to WT group (HR = 2.41, 95% CI. 0.93–6.21, p = 0.07). No difference in survival outcomes was noted between AT and NAT groups (Figure 2D).

DISCUSSION

By stratifying UTUC patients according to TP53 mutation patterns, we observed that patients with an A:T to T:A transversion in the TP53 gene had a higher risk of contralateral upper urinary tract recurrence, and those with non- A:T to T:A transversion mutations had more bladder tumor recurrences and metastases than the other two groups. These findings demonstrate that TP53 mutation pattern is a useful biomarker for predicting patient outcomes. Therefore, the TP53 mutation pattern should be considered important information for clinicians in improving follow-up protocols for UTUC patients. Previous studies discovered that p53 protein overexpression in UTUC [6, 11] was associated with recurrence- and progression-free survival duration. However, these studies used IHC staining to determine p53 expression levels. Based on the principle of this assay, positive IHC results do not recognize null mutations, such as deletions, insertions, nonsense and splicing site mutations. Approximately 30% of somatic TP53 mutations are not identified by IHC assay, suggesting that IHC is not sufficient for detection of TP53 mutations [12]. Hashimoto et al. reported that null mutations predicted outcomes better than the IHC assay [13]. Besides, positive IHC results from early tumor lesions should be interpreted carefully because local responses to inflammatory microenvironments can cause accumulation of wild-type p53 in tumors [14]. Hence, DNA sequencing remains the gold standard for identifying TP53 mutations. That is why our present study investigates patients according to TP53 sequencing results. TP53 mutation patterns were significantly associated with patient demographics. Tumors in smokers had fewer A:T to T:A transversions, but had more non- A:T to T:A transversion mutations. As that in lung cancer study, a G:T transversion at codon 157 in TP53 is frequent in smokers [15, 16]. On the other hand, only 1 out of 11 patients with an A:T to T:A transversion had ever smoked in our cohort. Patients who had been exposed to herbs had a higher frequency of A:T to T:A transversions, which is the signature mutation of AA [7]. Furthermore, the A:T to T:A transversion was associated with poor renal function given that AA induces renal tubular damage [17]. In our cohort, TP53 mutations with an A:T to T:A transversion were more frequent in female UTUC patients than males, which may be partially due the fact that more Taiwanese women tend to take herbs containing AA than men [18]. Whether gender or carcinogens contributed to differences in TP53 mutation patterns should be further investigated. Based on the results combining aristolactam-DNA adducts in renal cortical tissue and A:T to T:A transversions in the TP53 gene, patients with AA-induced UTUC had more high-grade and high-stage tumors than non-AA UTUC patients [8]. This extended cohort revealed that patients with TP53 mutations had more unfavorable tumor characteristics than those without TP53 mutations. A:T to T:A transversion pattern was associated with the worst initial tumor presentations, such as high grade and nodal or metastatic disease, in this cohort. As the signature mutation of AA, A:T to T:A transversion suggests that AA is responsible for carcinogenesis in these cases of UTUC. Patients with this signature mutation were considered as having bilateral, either synchronous or metachronous, UTUC [8]. UTUCs with TP53 non- A:T to T:A transversions have more and earlier bladder recurrences than those without TP53 mutations or A:T to T:A transversions. Using IHC staining, previous studies revealed that p53 overexpression in tumors had conflicting disease-free survival results in UTUC patients [6]. In fact, p53 protein overexpression could be caused by different TP53 mutation patterns. As shown in this study, UTUC patients with an A:T to T:A transversion did not have poorer outcomes of bladder recurrences or metastases than those without TP53 mutations. However, non- A:T to T:A transversion mutations in the TP53 gene did predict poorer outcomes. Hence, the precise stratification of TP53 mutations would help predict patient outcomes. In contrast to other tumor suppressor genes which are changed by truncating mutations, most of TP53 gene mutations are missense substitutions (75%) [19] that are resulted from SBS clustering within DNA-binding domain of protein. Furthermore, the most frequent mutants have been revealed to have ability to cooperate with oncogenes for cellular transformation [20]. Our UTUC patients with TP53 mutations other than A:T to T:A transversion had higher proportion of missense mutations (69%) than those with A > T transversion (45%) and no mutation (0%) (Table 2). Tumors with TP53 mutations were supposed to be more invasive than those without mutations. UTUC patients were under risks of bladder recurrence and contralateral recurrence after nephroureterectomy. Pathological characteristics and tumor location might help identify patients who are at risk. In this study, TP53 mutation pattern further stratified those at risk of bladder recurrence or contralateral upper tract recurrence and facilitated decisions regarding individualized follow-up protocols. Importantly, tumor DNA sequencing is not complex, although predictive values should not be overlooked. Compared with the current published UTUC series with results of bladder outcome, most of clinicopathological characters, such as tumor stages, multi-focality, tumor location, bladder recurrence rate excluding patients with previous bladder cancer histories were similar to our series (Table 4) [21, 22]. Therefore, the findings of our study could be further extended to other population.
Table 4

Comparison of clinicopathological presentation of western UTUC series and our series

SeriesCountriesCase numberTa-1 proportionHigh gradeMultifocalityRenal pelvis locationBladder recurrence*
Zigeuner et al.[22]Austria19151.3%50.5%33.0%64.4%32.0%
Novara et al.[21]Italy23146.3%(G3) 48.5%39.0%64.9%35.6%
Our large cohort[25]Taiwan53846.6%57.2%21.0%68.0%30.4%
Current studyTaiwan16550.9%71.5%30.9%65.5%32.2%

All the patients with previous or synchronous bladder cancer histories were excluded.

G3 = grade 3.

All the patients with previous or synchronous bladder cancer histories were excluded. G3 = grade 3. Although CKD and bilateral UTUC reasonably worsen patients' survival outcomes, the association between ESRD, and metachronous bladder recurrence in the patients with primary UTUC is not clear till now. In our cohort, ESRD did not increase risk of bladder recurrence, nor metastasis after nephroureterectomies, but did raise hazard of metachronous contralateral recurrence. Based on the clinical observation [8], molecular evidence [7] and epidemiological findings [23, 24], our hypothesis is that AA exposure results in both CKD and UTUC, but the sequence is uncertain. For people with more AA exposure, ESRD develops earlier than UTUC. In contrast, ESRD occurs later than or similar to UTUC in the patients with less AA exposure. Therefore, not all UTUC patients had poor renal function upon the diagnosis. For example, 4 of 8 previous or synchronous UTUC patients and 4 of 10 metachronous UTUC patients did not have CKD stage 5 disease upon the diagnosis in our cohort. Additionally, 73% of UTUC patients with signature mutation of AA did not have CKD stage 5 diseases. A large cohort has shown that poorly controlled diabetes increased bladder recurrence in UTUC patients [25]. Although the real mechanism is still unknown, two possible mechanisms may explain what we observe in this cohort. Firstly, diabetes results in bladder dysfunction and increases risks of urinary tract infection [26], so that further promote urothelial cancer cell implantation on the injured bladder mucosa [27-29]. Secondly, upregulated insulin-like growth factor 1 (IGF-1) in diabetes patients increases tumor cell proliferation and inhibits apoptosis [30], and associated with an increased risk of bladder cancer [31]. This study has several limitations. Firstly, the sample size and number of events did not allow extensive analyses. Secondly, observations of additional contralateral recurrences and long-term survival analysis were limited by the relatively short follow-up duration (median: 59 months). Nevertheless, the events were sufficient to show that UTUC patients with TP53 A:T to T:A transversions were at a higher risk of contralateral upper urinary tract recurrence. Thirdly, misclassification cannot be absolutely excluded because genes other than TP53 were not sequenced. However, whole exome sequencing is costly and is not suitable as a convenient, inexpensive tool for identifying patients at risk. Fourthly, the results from the areas with profound AA exposure would render the extension of conclusion to the areas without AA exposure. Fifthly, the biology of different TP53 mutation pattern was not investigated in this study.

MATERIALS AND METHODS

Patient population and enrollment criteria

A total of 232 consecutive UTUC patients who underwent nephroureterectomies and bladder cuff resection at National Taiwan University Hospital (NTUH) between August 1999 and July 2012 were included in this cohort. This study was approved by the Research Ethics Committee at NTUH and the Human Subjects Institutional Review Board at Stony Brook University. All subjects provided their written informed consent before donating samples. Patients who had lived in arsenic-endemic areas in Taiwan (n = 2, 0.9%) or had received chemotherapy or radiotherapy for any malignancy before tissue sampling (n = 4, 1.7%) were excluded from the study. None of the patients reported a history suggestive of occupational exposure to aromatic amines. A total of 61 (26.3%) patients were excluded due to inadequate tissue samples for DNA extraction. The remaining 165 cases were available for analysis.

Specimen characteristics and storage

Tissue specimens were collected immediately after nephroureterectomies. Renal cortical samples were chosen from normal-appearing part far-away from UTUC tumors. Tumors were sampled with avoidance of inclusion of surrounding normal tissues. All fresh tissue samples were collected in aseptic vials, snap-frozen in liquid nitrogen and then stored at −80°C till DNA extraction.

TP53 gene sequencing

All DNA samples were prepared from frozen tumor tissues using the phenol-chloroform method. Tumor DNA TP53 mutational status was evaluated using the Roche AmpliChip p53 microarray (Roche Molecular Systems, Pleasanton, CA, USA). This technology, described in references 11 and 12 [32, 33], is designed to identify splice site mutations and single base–pair mutations and deletions in coding regions of exons 2–11. Chiaretti and coworkers reported that the p53 AmpliChip was superior to traditional Sanger sequencing for detection of single base substitutions, the dominant mutation class in TP53. The TP53 mutation data for the UTUC samples reported in the current study have been published [7, 8].

Distribution and grouping of TP53 SBS pattern

TP53 SBS mutations were identified in 97 (58.8%) patients. The distribution of TP53 SBS was shown in Figure 1. Based on our hypothesis that A:T to T:A transversion might be associated with characteristic presentation [7], we grouped the patients with A:T to T:A transversion as AT group. Patients with TP53 mutations only other than A:T to T:A SBSs were categorized as NAT group. Patients without any TP53 SBS (wild-type) were defined as WT group (no TP53 mutations).

Immunohistochemical staining

Deparaffinized five micrometer-thick sections were subjected to antigen retrieval and then incubated with anti-TP53 antibody (clone DO-7, 1:100, Dako USA). Antigen-antibody complexes were identified by the avidin-biotin-peroxidase method (Vectastain, Vector Labs, USA) with diaminobenzidine (DAB) as the substrate. Sections were then counterstained with hematoxylin and examined by microscopy. Only staining in tumor cells was used to evaluate the proportion of TP53 staining for semiquantitative evaluation of DAB staining in tumor cells. The percentage of cells with positive nuclear staining, based on a scale of 0–100% in increments of ten, was scored by one of the authors (KD) in a blinded manner.

Measurement of bladder recurrence, contralateral upper tract recurrence

UTUC patients were regularly followed at our clinics per the follow-up protocol with cystoscopy examination and urine cytology at the 3rd, 6th, 12th, 18th, 24th, 30th, 36th, 48th, and 60th month after nephroureterectomy and bladder cuff resection. Imaging studies were performed every 6 months for 3 years and annually thereafter. We did not administer intravesical chemotherapy or Bacillus Calmette–Guérin instillation post-operatively if the patients did not have synchronous bladder tumors. Any suspicious symptoms or signs, such as hematuria or loin discomfort, triggered an additional survey for recurrences. Bladder recurrence was defined as histologically-proven bladder UC that appeared after nephroureterectomy. Those with previous or synchronous bladder tumors were excluded from the analysis of bladder recurrence. Metachronous contralateral UTUC was defined as histologically-proven UC in the contralateral upper urinary tract. Similarly, the patients with synchronous bilateral or previous contralateral UTUC were not included in the final model. Bladder cancer recurrence-free and metachronous contralateral UTUC-free survival were calculated from the date of nephroureterectomy to the date of diagnosis or to the date of the last follow-up (censored).

Other clinical data collection

Information regarding Chinese herb use, occupational exposure, and smoking behavior was obtained directly from patients using a standardized questionnaire. Estimated glomerular filtration rate was used for staging chronic kidney disease [34]. Heavy smokers were defined as those with a cumulative smoking history of 20 pack-years or more. All surgical specimens were reviewed by a single pathologist at NTUH. Tumors were graded according to the WHO 2004 classification and staged using the TNM 2002 classification.

Statistical methods

All statistical analyses were performed with Stata 8.2 for Windows. The Kruskal-Wallis rank sum test was used to compare the medians among patient groups. Contingency tables were constructed for comparisons using the chi-square test. The log-rank test and Cox proportional hazard model were used to compare metachronous contralateral UTUC and bladder cancer recurrence-free survival duration among the three patient groups. The factors with either statistical significance (p < 0.05 in univariable analysis) or clinical importance were selected for the multivariable model. All tests were two-tailed. A p-value of < 0.05 was considered statistically significant.

CONCLUSIONS

Different TP53 mutation patterns in UTUC tumors were related to different tumor outcomes. A:T to T:A transversions increased contralateral UTUC recurrence, while mutations other than A:T to T:A transversions raised bladder tumor recurrence. The TP53 gene mutation pattern may be a useful biomarker for predicting the recurrence patterns in UTUC patients.
Table 1

Demographics of the patients stratified by TP53 mutation patterns

TP53 mutation patternMutations with A > T (AT group)Mutations other than A > T (NAT group)Wild type (WT group)p value
Patient number (n)554268
Median age (range)63.5 (30–87)67.9 (5–88)66.4 (42–90)0.168
Gender0.001
 Male20 (36%)20 (48%)48 (71%)
 Female35 (64%)22 (52%)20 (29%)
Smoking history0.055
 Yes6 (11%)11 (26%)19 (28%)
 No49 (89%)31 (74%)49 (72%)
Heavy smokinga0.009
 Yes3 (5%)8 (19%)18 (26%)
 No52 (95%)34 (81%)50 (74%)
CKD stage0.361
 Normal16 (29%)16 (38%)26 (38%)
 321 (38%)15 (36%)29 (43%)
 43 (5%)4 (10%)6 (9%)
 515 (27%)7 (17%)7 (10%)
ESRD0.124
 Yes13 (24%)6 (14%)7 (10%)
 No42 (76%)36 (86%)61 (90%)
DM0.07
 Yes11 (20%)6 (15%)22 (33%)
 No44 (80%)35 (85%)45 (67%)
Hypertension0.15
 Yes18 (33%)21 (51%)31 (46%)
 No37 (67%)20 (49%)36 (54%)
AL-DNA adduct<0.001
 Yes47 (89%)22 (54%)35 (51%)
 No6 (11%)19 (46%)33 (49%)
Tumor location
 Renal pelvis36 (65%)22 (52%)50 (74%)0.077
 Upper ureter15 (27%)8 (19%)10 (15%)0.219
 Lower ureter17 (31%)20 (48%)22 (32%)0.176
Synchronous bladder tumor14 (25%)9 (21%)18 (26%)0.831
Multiple tumor location18 (33%)11 (26%)22 (32%)0.745
Grade0.046
 High45 (82%)31 (74%)42 (62%)
 Low10 (18%)11 (26%)26 (38%)
Stage0.16
 Ta-1NoMo25 (44%)19 (45%)40 (59%)
 T2-4NoMo25 (45%)22 (52%)25 (37%)
 nodal or metastatic6 (11%)1 (2%)3 (4%)
p53 IHC staining0.011
 Negative15 (38%)10 (29%)28 (54%)
 < = 50%13 (33%)12 (34%)20 (38%)
 > 50%12 (30%)13 (37%)4 (8%)
 Missing15716
Follow-up (months, range)55 (4–208)61 (4–157)57 (4–169)0.605

CKD = chronic kidney disease; ESRD = end-stage renal disease; DM = diabetes mellitus; AL-DNA = aristolactam-DNA; IHC = immunohistochemical.

heavy smoking was defined as more than 20 pack-years.

  34 in total

1.  Patterns of p53 G-->T transversions in lung cancers reflect the primary mutagenic signature of DNA-damage by tobacco smoke.

Authors:  P Hainaut; G P Pfeifer
Journal:  Carcinogenesis       Date:  2001-03       Impact factor: 4.944

2.  Specific TP53 and/or Ki-ras mutations as independent predictors of clinical outcome in sporadic colorectal adenocarcinomas: results of a 5-year Gruppo Oncologico dell'Italia Meridionale (GOIM) prospective study.

Authors:  V Bazan; V Agnese; S Corsale; V Calò; M R Valerio; M A Latteri; S Vieni; N Grassi; G Cicero; G Dardanoni; R M Tomasino; G Colucci; N Gebbia; A Russo
Journal:  Ann Oncol       Date:  2005-05       Impact factor: 32.976

Review 3.  TP53 mutations in human cancers: functional selection and impact on cancer prognosis and outcomes.

Authors:  A Petitjean; M I W Achatz; A L Borresen-Dale; P Hainaut; M Olivier
Journal:  Oncogene       Date:  2007-04-02       Impact factor: 9.867

Review 4.  The p53 tumour suppressor gene.

Authors:  A J Levine; J Momand; C A Finlay
Journal:  Nature       Date:  1991-06-06       Impact factor: 49.962

5.  Dietary restriction reduces insulin-like growth factor I levels, which modulates apoptosis, cell proliferation, and tumor progression in p53-deficient mice.

Authors:  S E Dunn; F W Kari; J French; J R Leininger; G Travlos; R Wilson; J C Barrett
Journal:  Cancer Res       Date:  1997-11-01       Impact factor: 12.701

6.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  p53 and K-ras mutations in lung cancers from former and never-smoking women.

Authors:  K H Vähäkangas; W P Bennett; K Castrén; J A Welsh; M A Khan; B Blömeke; M C Alavanja; C C Harris
Journal:  Cancer Res       Date:  2001-06-01       Impact factor: 12.701

8.  Population-based case-control study of Chinese herbal products containing aristolochic acid and urinary tract cancer risk.

Authors:  Ming-Nan Lai; Shuo-Meng Wang; Pau-Chung Chen; Ya-Yin Chen; Jung-Der Wang
Journal:  J Natl Cancer Inst       Date:  2009-12-21       Impact factor: 13.506

9.  Persistence of carcinogen-altered cell population in rat urothelium which can be promoted to tumors by chronic inflammatory stimulus.

Authors:  K Kawai; H Kawamata; S Kemeyama; A Rademaker; R Oyasu
Journal:  Cancer Res       Date:  1994-05-15       Impact factor: 12.701

10.  Nitric oxide-induced cellular stress and p53 activation in chronic inflammation.

Authors:  Lorne J Hofseth; Shin'ichi Saito; S Perwez Hussain; Michael G Espey; Katrina M Miranda; Yuzuru Araki; Chamelli Jhappan; Yuichiro Higashimoto; Peijun He; Steven P Linke; Martha M Quezado; Irit Zurer; Varda Rotter; David A Wink; Ettore Appella; Curtis C Harris
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-23       Impact factor: 11.205

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  7 in total

1.  Reduced Preoperative Glomerular Filtration Rate Is Associated With Adverse Postoperative Oncological Prognosis in Patients Undergoing Radical Nephroureterectomy for Upper Tract Urothelial Carcinoma: A Retrospective Cohort Study.

Authors:  Shijie Li; Xiaonan Chen; Jianyi Zheng; Xuefeng Liu
Journal:  Front Surg       Date:  2022-04-25

Review 2.  Balkan endemic nephropathy: an update on its aetiology.

Authors:  Marie Stiborová; Volker M Arlt; Heinz H Schmeiser
Journal:  Arch Toxicol       Date:  2016-08-19       Impact factor: 5.153

3.  Impact of aristolochic acid exposure on oncologic outcomes of upper tract urothelial carcinoma after radical nephroureterectomy.

Authors:  Wenlong Zhong; Lei Zhang; Jiajian Ma; Shan Shao; Rongcheng Lin; Xuesong Li; Gengyan Xiong; Dong Fang; Liqun Zhou
Journal:  Onco Targets Ther       Date:  2017-12-05       Impact factor: 4.147

Review 4.  DNA Adducts Formed by Aristolochic Acid Are Unique Biomarkers of Exposure and Explain the Initiation Phase of Upper Urothelial Cancer.

Authors:  Marie Stiborová; Volker M Arlt; Heinz H Schmeiser
Journal:  Int J Mol Sci       Date:  2017-10-14       Impact factor: 5.923

5.  Clinicopathologic characteristics and prognosis of upper tract urothelial carcinoma complicated with aristolochic acid nephropathy after radical nephroureterectomy.

Authors:  Hongli Shan; Wen Tian; Yazhao Hong; Bo Xu; Chunxi Wang; Bing Yu; Xiaoqing Wang
Journal:  BMC Complement Med Ther       Date:  2020-06-03

6.  Aristolochic Acid Affects Upper Tract Urothelial Cancer Behavior through the MAPK Pathway.

Authors:  I-Hsuan Chen; Hao-Lun Luo; Yu-Li Su; Chun-Chieh Huang; Po-Hui Chiang; Chia-Cheng Yu; Nai-Lun Lee; Jen-Jie Lin; Ming-Tse Sung
Journal:  Molecules       Date:  2019-10-15       Impact factor: 4.411

7.  Aristolochic acid-associated urinary tract cancers: an updated meta-analysis of risk and oncologic outcomes after surgery and systematic review of molecular alterations observed in human studies.

Authors:  Yu-Chan Kang; Ming-Hong Chen; Chung-Ying Lin; Chih-Yun Lin; Yen-Ta Chen
Journal:  Ther Adv Drug Saf       Date:  2021-03-21
  7 in total

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