Literature DB >> 25219390

The impact of tumor location and multifocality on prognosis for patients with upper tract urothelial carcinoma: a meta-analysis.

YunJian Wu1, Qiang Dong2, LiangRen Liu2, Ping Han2, Qiang Wei2.   

Abstract

There is lack of consensus regarding the prognostic significance of primary tumor location of upper tract urothelial carcinoma(UTUC). We performed a meta-analysis to evaluate the impact of primary tumor location on prognosis in patients with UTUC who had undergone radical nephroureterectomy(RNU). We included eligible studies that reported hazard ratios(HRs) estimates with 95% confidence intervals(CIs) for the association between tumor location and recurrence-free survival(RFS) and cancer-specific survival(CSS) of UTUC. The local advanced tumors(pT3/4) and nodal positive(pN+) tumors in patients stratified by tumor location were also estimated. The review contained 17 studies including a total of 12094 patients were identified. Although it was not significant in univariable analysis, meta-analysis demonstrated that ureteral tumors had a worse prognosis than renal pelvic tumors on RFS and CSS in multivariable analysis after adjusted for all covariates. Multifocal tumors also showed a significantly association with both disease progression and cancer-specific mortality in univariable and multivariable analyses. However, no statistically significant differences were found between renal pelvic and ureteral tumors in presentation of pT3/4 and pN+ tumors. Our meta-analysis indicated that ureteral and multifocal tumors are independent prognosticators of disease progression and cancer-specific survival in patients with UTUC treated with RNU.

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Year:  2014        PMID: 25219390      PMCID: PMC5376062          DOI: 10.1038/srep06361

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Upper tract urothelial carcinoma(UTUC) is a rare and heterogeneous disease that accounts for approximately 5% of all urothelial tumors, with an estimated incidence of 2.08 cases per 100000 person-years in the United States12. The male to female ratio is of approximately 2:13. Amongst the known risk factors for the development of UTUC are cigarette smoking, abuse of analgetics, occupational factors, chronic infection and stone disease, as well as antineoplastic agents such as cyclophosphamide4. Usually UTUC is a multifocal disease. About 75% UTUC are located in the collecting system of the kidney, whilst 25% occur in the ureter5. For invasive, nonmetastatic UTUC radical nephroureterectomy(RNU) with bladder-cuff removal is considered the gold standard treatment of UTUC67. Several prognostic factors for UTUC have been identified. Widely accepted risk factors consist of the pathological stage of the primary tumor, lymph node status, the presence of distant metastases, lymphovascular invasion and tumor grade89101112. However, several other putative factors have been proposed with sometimes conflicting results. The location of the primary tumor (renal pelvis vs ureter) also represents a controversial risk factor. Several investigators reported significantly higher progression and/or cancer specific mortality rates in patients with primary ureteral UTUC131415. Converse results showed significantly higher cancer specific mortality rates in patients with renal pelvis and/or upper ureteral UTUC primaries16. Finally other researchers could not demonstrate that tumor location increased or decreased the risk of disease progression and/or mortality917. Accordingly, here we perform a meta-analysis to testify whether tumor location is a prognostic factor influencing the progression and survival of UTUC.

Results

We identified 121 potentially relevant abstracts in our initial search. Of these, 86 were unrelated or not original research articles. Upon closer examination, 16 studies were excluded for the following reasons: one study was review; 11 studies did not provide sufficient information to estimate a summary HR and its 95% CI; three studies concerned about the effect of types of surgery; and one study just analysed different tumor location on the ureter, leaving 17 studies for reviewing1114151718192021222324252627282930.

Study characteristics

The 17 studies including 12094 participants were published in 2003–2012. The demographic characteristics of patients, adjusted variables and study quality of the included trials were summarized in Table 1. Of these 17 studies, four were global trials, six were conducted in Europe, two in north America, and four in Asia. Most studies met high quality criteria(8 to 9 stars) except two conducted in Serbia. All studies provided risk estimates that adjusted for age, gender, pT stage, pN stage and tumor grade; other risk estimates were provided to be adjusted for lymphovascular invasion(9 studies), adjuvant chemotherapy(7 studies), surgical approaches(5 studies), previous or synchronous bladder tumor(6 studies), race(3 studies), tumor architecture(4 studies) and region, marginal status, concomitant carcinoma in situ, smoking(3 studies respectively).
Table 1

Characteristics of included studies on tumor location and UTUC

StudyLocationStudy periodNo. of participantsTumor location and No. of casesMedian age (range), yrStudy qualityaAdjusted variables
Raman 2009globe1987–20071249U:426P:82368(27–97)8age, gender, surgical approach (open vs laparoscopic), prior endoscopic therapy, pT stage, grade, lymph node status
Yafi 2011globe1990–2010673U:215P:376M:4668(61–75)8age, gender, race, presence of lymphovascular invasion, concomitant carcinoma in situ, pathological stage, lymph node dissection and type of surgery (open vs laparoscopic)
Novara 2007Europe1989–2005269U:92P:101M:11367.78age, gender, history of previous bladder cancer, synchronous muscle-invasive bladder TCC, pT stage, tumor grade, lymph nodes, presence of lymphatic and/or vascular invasion, surgical margin status, tumor site
Isbarn 2009USA1988–20042824U:911P:1913NR8age, race, region, gender, types of surgery, pT stage, pN stage, tumor grade and year of surgery quartiles
Kobayashi 2010Japan2000–2004221U:111P:11072(46–92)8age, sex, pT stage, tumor grade, venous invasion, lymphatic invasion, surgical techniques
Dragicevic 2007Serbia1998–2005114U:30P:37M:3667(38–86)7age, sex, BEN or non-endemic area of residence, serum, creatinine levels, Hb, synchronous bladder tumor, tumor size, tumor grade, tumor stage and lymphovascular invasion
Favaretto 2010USA1995–2008253U:78P:17172(64–77)8age, gender, race, smoking history, previous non-muscle-invasive bladder tumor, pT stage, pN stage, tumor grade, concomitant carcinoma in situ
Akdogan 2005Turkey1987–200372U:21P:5158.98age, sex, T stage, grade, bladder tumor history
Park 2004Korea1991–200186U:41P:4559.59age, grade, T stage, N stage, grade,
Chromecki 2011globe1987–20072492U:640P:1262M:59069.2(54.1–84.2)8age, gender, T stage, N stage, tumor stage, tumor architecture, lymphovascular invasion, lymph node involvement, receiving adjuvant chemotherapy
Lehmann 2006Germany1975–2004145U:136M:1968(29–85)8age, sex, pT stage, tumor grade, N stage, tumor stage, treatinin, alkaline phosphatase, WBC count, blood urea nitrogen, platelet count
Milojevic 2011Serbia1999–2009133U:45P:88NR7age, sex, laterality, previous carcinoma not invading bladder muscle, tumor grade, tumor stage, N stage, lymphovascular invasion
Ouzzane 2011France1995–2010609U:185P:317M:10770(62–76)8age, sex, pT stage, tumor grade, N stage, lymphovascular invasion,
Zhang 2012China2000–2010217U:71P:14669(62–81)8gender, age, tumor stage, tumor grade, lymphovascular invasion, and lymph node status, preoperative hydronephrosis, type of surgery, follow-up
Park 2009Korea1991–2005224U:102P:122639age, sex, T stage, N stage, grade, adjuvant chemotherapy
Mouracade 2011Canada1985–2005269U:108P:16166.78age, gender, pT stage, pN stage, tumor grade, surgical margin status, adjuvant chemotherapy, period of diagnosis
Cha 2012globe1987–20072244U:795P:144969.99age, gender, pT stage, pN stage, tumor grade, lymphovascular invasion, sessile tumor architecture, concomitant CIS, previous bladder cancer

Abbreviation: M, multifocal; NR, not reported; P, pelvis; U, ureter.

a: Study quality was judged on the basis of the Newcastle-Ottawa Scale (1–9 stars).

Clinicopathologic characteristics

Table 2 summarized the pooled results of local advanced(pT3/4) tumors and nodal positive(pN+) tumors in patients stratified by tumor location. It revealed that there were no statistically significant differences were found between renal pelvic tumors and ureteral tumors in presentation of pT3/4 tumors and pN+ tumors. There was a significant heterogeneity(I2 = 82.9%) between individual trials in the comparison of different tumor location at pT3/4 tumors. Sensitivity analysis showed that the significant heterogeneity of outcome among reported trials could be attributed mainly to the trial reported by Isbarn and colleagues19.
Table 2

Summary of pooled results of UTUC by pT/pN status and tumor location

 Pooled RR95%CIPI2(%)
Ureter vs RP    
pT3/40.8450.692–1.0330.10182.9
pN+0.9060.675–1.2150.50838.7

Abbreviation: CI, confidence interval; CSS, cancer specific survival; HR, hazard ratio; RFS, recurrence free survival; RP, renal pelvis; RR, risk ratio.

Ureteral versus renal pelvic tumors

The univariable- and multivariable-adjusted HRs for each study and combination of all studies for the effect of ureteral and renal pelvic tumors on RFS were shown in Figure 1. In univariable analysis, the pooled estimates revealed that tumor location(p = 0.081) were not associated with recurrence. However, after adjusted for all covariates, tumor location(p < 0.001) revealed obviously associated with disease recurrence in multivariable analysis (Table 2). The combined results indicated that ureteral urothelial carcinoma was significantly with a higher tumor recurrence than renal pelvic urothelial carcinoma. A statistically significant heterogeneity was detected among studies of effects on RFS stratifying according to tumor location in multivariable analysis. We also performed sensitivity analysis by sequentially excluding one study in each turn to examine the influence of a single study on the overall estimate or in any strata. The results showed that none of the study could considerably affect the summary of risk estimates in our meta-analysis (data not shown). It confirmed the stability of our results.
Figure 1

Meta-analysis of the effect of tumor location on RFS in univariable analysis and in multivariable analysis.

The lower and upper confidence interval (CI) values refer to 95% CIs. RFS recurrence-free survival.

For the impact of tumor location on CSS of patients with UTUC, no significant differences were found in CSS between ureteral and renal pelvic tumors(p = 0.118) in univariable analysis. However, the combined results of multivariable analysis revealed that tumor location(p < 0.001) was independently associated with CSS. The pooled HR was 1.456 for ureteral tumors versus renal pelvic tumors (Figure 2), the tumors originated from the ureter were associated with worse CSS (Table 2). From the results of sensitivity analysis, we concluded the source of heterogeneity among all the included studies probably also came from Isbarn and colleagues19.
Figure 2

Meta-analysis of the effect of tumor location on CSS in univariable analysis and in multivariable analysis.

The lower and upper confidence interval (CI) values refer to 95% CIs. CSS cancer-specific survival.

Multifocal versus unifocal tumors

When we stratified the analysis according to multifocal and unifocal upper tract urothelial carcinoma, the pooled HR of FRS(Figure 3) indicated that multifocality was with a higher frequency of tumor recurrence than unifocal tumors either in univariable analysis(p < 0.001) or in multivariable analysis(p = 0.048) (Table 2). Sensitivity analysis showed that the significant heterogeneity of outcome among reported trials could be attributed mainly to the trial reported by Chromecki and colleagues23.
Figure 3

Meta-analysis of the effect of multifocal tumors on RFS in univariable analysis and in multivariable analysis.

The lower and upper confidence interval (CI) values refer to 95% CIs. RFS recurrence-free survival.

As Figure 4 showed us, the multifocal tumors were associated with increased risk of cancer-specific death. Although the univariable analysis revealed that multifocal tumors were not statistically associated with CSS(p = 0.065), after adjustment for all covariates the combined HR indicated that multifocality was an independent predictor of CSS(p = 0.009). Sensitivity analysis identified the study reported by Chromecki and colleagues23 as the main source of heterogeneity for CSS in multifocal tumors versus unifocal tumors.
Figure 4

Meta-analysis of the effect of multifocal tumors on CSS in univariable analysis and in multivariable analysis.

The lower and upper confidence interval (CI) values refer to 95% CIs. CSS cancer-specific survival.

Discussion

The impact of tumor location (ureter compared with renal pelvis) on the prognosis of patients with UTUC has been a matter of debate for a long time. Because of lacking of prospective studies, a definitive conclusion regarding the impact of tumor location on UTUC prognosis can not be permitted. In this systematic review we reported evidence from 17 currently retrospective studies about the effect of tumor location on the progression and survival of UTUC tested in a total of 12094 patients. The results of this meta-analysis demonstrated the independent predictor status of tumor location on RFS and CSS, with ureteral tumors showing a worse prognosis than renal pelvic tumors after adjustment for several pathologic variables15. In addition, tumor multifocality was also approved to be an independent predictor of progression and survival in patients with UTUC. Several interesting differences in pathologic characteristics were noted depending on tumor location. We estimated the local advanced tumors and nodal positive tumors in patients stratified by tumor location respectively. Somewhat surprisingly, renal pelvic tumors presented at a more advanced tumor stage than ureteral disease when considering pT3/4 and pN+ cancers in several studies11141819222526272829. One explanation for this discrepancy could be that ureteral tumors become symptomatic earlier because of obstruction at lower stages and grades and hence become detectable by endoscopy earlier compared with renal pelvic tumors that may progress before any symptomatic manifestation of disease or obstruction2. However, the pooled results of this meta-analysis failed to confirm the interesting findings. The combined RRs showed no statistical differences were detected. In some ways, it could be due to lack of regional lymphadenectomy in most cases. Regional lymphadenectomy was generally performed in patients with enlarged lymph nodes on preoperative axial imaging or with adenopathy detected during intraoperative examination. As such, most of patients in this cohort did not undergo a lymphadenectomy (pNx). The literature evaluating the impact of tumor location on UTUC outcomes was conflicting. Our researches approved that ureteral tumors were with a worse prognosis compared with renal pelvic tumors. One postulated hypothesis to explain the worse outcome with ureteral tumors is that the presence of a thinner layer of adventitia containing an extensive plexus of blood vessels and lymphatics surrounding the ureter facilitates tumor lymphatic and haematogenous spread. Furthermore, the smooth muscle layer of the ureter is thinner, allowing for higher stage when minimal tumor invasion occurs. Comparatively, the renal pelvis displays a thicker adventitial layer with associated abundant renal parenchyma and perihilar adipose tissue that allows for wider surgical resection margins, which may provide a protective role28. Bladder tumors were the most common urothelial cancers. Previous studies showed that 15–50% of patients operated for UTUC had cancer development in the bladder during the follow-up59313233. Zigeuner et al analysed 191 consecutive patients with no history of bladder cancer and operated for UTUC. Bladder tumor development was noted in 39 of 123 (32%), including 18 of 76 (24%) with renal pelvic, 16 of 34 (47%) with ureter and five of 13 with multifocal tumors (P = 0.02 for renal pelvic vs ureter). Zigeuner's research showed that patients with ureteral tumors were more likely to develop subsequent Bladder cancers34. van der Poel HG et al investigated the prognostic information of anatomical location of ureter in patients with UTUC. Distally located tumors had a significantly better survival than proximally located cancers (median survival 53 months versus 16 months for tumors in the proximal ureter). In a multivariable analysis both tumor stage and location in the upper tract were predictive of disease specific survival after UTUC diagnosis16. Multifocal tumors are defined as those tumors with two or more distinct locations within the urinary tract. Keeley et al first reported multifocality as a prognostic factor with a negative impact on RFS35. Subsequent studies by Novara et al and Brown et al confirmed the prognostic role of tumor multifocality in UTUC patients1736. Specifically, individuals with a multifocal UTUC showed a threefold higher risk of cancer-specific mortality relative to patients without tumor multifocality. Similar to our research, we found that tumor multifocality was associated with increased risks of disease progression and cancer-specific mortality, and was an independent predictor of both RFS and CSS. Tumor multifocality is a feature of biologically aggressive disease in patients with UTUC. Potential reasons underlying the worse outcomes in patients with tumor multifocality could result from a more aggressive biologic potential of tumors in patients with tumor multifocality or a delay in diagnosis or treatment resulting in more advanced disease. Taken together, it seems that tumor multifocality could help refine clinical decision-making regarding therapy and follow-up of UTUC23, therefore it should be routinely determined and reported by pathologists. The heterogeneity of some variables in this study is worthy of comment. Four of ten variables exhibited significant heterogeneity (I2 more than 70%). Explanations may include the following. First and foremost are the limitations inherent to the biases associated with the retrospective studies included, because of no prospective studies were identified. Second, the studies in our review were done in 3 regions, including Asia, Europe and North America, and some are international multi-institutional studies. The differences in outcomes observed might reflect genetic, environmental or cultural differences among populations. Third, some other risk factors were involved in this meta-analysis which may bring bias. For instance, the surgical approaches were different. Most RNUs were open surgeries, but some were done by laparoscopic approaches. Thus, the performance bias generated. Some studies included patients who had receipt adjuvant chemotherapy, but some studies didn't; similarly some patients with previous or synchronous bladder tumor were included but excluded by other studies. Besides, the definition of RFS was not all the same within the included studies. Most studies defined RFS as local failure in the tumor bed, regional lymph nodes, or distant metastasis11141518232830. But some studies considered pathologically proven failure in the bladder as disease recurrence22252627, which made some additional patients included. The different inclusion–exclusion criteria and sample sizes brought selection bias. A final source of heterogeneity is that the incorrect classification of multifocality. The multifocal tumor is defined as a tumor with two distinct locations within the upper urinary tract (ie, involving both the renal pelvis and ureter)26. Nevertheless, some studies classified the tumors involving both the renal pelvis and the ureter (multifocal) according to the dominant tumor site (based on tumor stage, grade, or size) as renal pelvic or ureteral. Therefore, some multifocal tumors were missed in some studies, and didn't include in our review, which would produce the selection bias. With this meta-analysis of articles from the medical literature, we demonstrate that ureteral and multifocal tumors are independent predictors of disease progression and cancer-specific survival in patients with UTUC managed by RNU. Ureteral and multifocal tumors have worse prognoses than renal pelvic tumors. And we postulate that multifocal tumors should be analysed as a distinct entity to avoid misclassification. However, available data are still sparse, and in-depth analyses of the assessed associations in the context of additional longitudinal studies are highly desirable to enable more-precise estimates and a better understanding of the prognostic role of tumor location. Future research should include more high quality, rigorous randomized trials with more stringent uniformity in data reporting to draw firm conclusions.

Methods

Search strategy

The literature search was conducted before March 2014 in the Medline and Embase and The Cochrane Library, reference lists of urology textbooks and review articles, and abstracts of conference proceedings. All the potential articles were required to include the following terms in their titles, abstracts, or key word lists: “urothelial carcinoma”, “tumor location”, “multifocality”, “prognosis” or any combinations of the four words. References in the retrieved publications, as well as those in previous systematic review, were checked for any other pertinent studies. This search strategy was performed iteratively until no new potential citations could be found on review of the reference lists of retrieved articles.

Eligibility criteria

Studies were included in the meta-analysis if they met the following criteria: case-control or cohort study published as an original article; papers reported in English between 1980 and February 2014; papers providing hazard ratio(HR) estimates with corresponding 95% confidence intervals(CIs) or sufficient information allowing us to calculate them. Any study with inconsistent or erroneous data was excluded. Meeting abstracts with insufficient data or unpublished reports were not considered.

Data extraction and quality assessment

Two reviewers (Y.J.W. and Q.D.) independently extracted data and assessed study quality from all potential relevant studies with a predefined data extraction form. Discrepancies were resolved by discussion and arbitration by a third party if necessary. The following variables were recorded: authors, year of publication, geographical region, number of patients, the number of patients with locally advanced pathological stage(pT3/pT4) and positive lymph nodes, and univariate and multivariate models examined the effect of tumor location on recurrence-free survival(RFS) and cancer-specific survival(CSS) rates. When important data were not reported, we tried to contact the authors. Study quality was independently scored by two reviewers using the Newcastle–Ottawa Scale37. The Newcastle–Ottawa Scale is frequently used for nonrandom studies such as case-control and cohort studies. The maximum scores of case-control and cohort studies are 9 and 13 respectively. Quality scores of the 17 studies ranged from 7 to 9. All were considered adequate for meta-analysis. We performed all statistical analyses utilizing Stata/SE 12.0 (Stata Corporation, College Station, Texas, USA) commercial software with the most recent updates for meta-analysis commands. Relative risk(RR) values calculated for dichotomous data and study-specific HR estimates were combined using a random-effects model, which considers both within-study and between-study variation38. Statistical heterogeneity among studies was evaluated with Q and I2 statistics. I2 is a statistic for quantifying inconsistency, it describes the percentage of the variability in effect estimates that is due to heterogeneity rather than sampling error39. Sensitivity analysis was performed to evaluate the stability of the results. Each study involved in the meta-analysis was deleted each time to reflect the influence of the individual data set on the pooled HRs. Heterogeneity was considered statistically significant when a two-sided P < 0.05.
  38 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Predicting clinical outcomes after radical nephroureterectomy for upper tract urothelial carcinoma.

Authors:  Eugene K Cha; Shahrokh F Shariat; Matthias Kormaksson; Giacomo Novara; Thomas F Chromecki; Douglas S Scherr; Yair Lotan; Jay D Raman; Wassim Kassouf; Richard Zigeuner; Mesut Remzi; Karim Bensalah; Alon Weizer; Eiji Kikuchi; Christian Bolenz; Marco Roscigno; Theresa M Koppie; Casey K Ng; Hans-Martin Fritsche; Kazumasa Matsumoto; Thomas J Walton; Behfar Ehdaie; Stefan Tritschler; Harun Fajkovic; Juan I Martínez-Salamanca; Armin Pycha; Cord Langner; Vincenzo Ficarra; Jean-Jacques Patard; Francesco Montorsi; Christopher G Wood; Pierre I Karakiewicz; Vitaly Margulis
Journal:  Eur Urol       Date:  2012-01-23       Impact factor: 20.096

3.  Prognostic significance of bladder tumor history and tumor location in upper tract transitional cell carcinoma.

Authors:  Bulent Akdogan; Hasan Serkan Dogan; Saadettin Yilmaz Eskicorapci; Ahmet Sahin; Ilhan Erkan; Haluk Ozen
Journal:  J Urol       Date:  2006-07       Impact factor: 7.450

4.  Factors impacting survival in patients with upper tract urothelial carcinoma undergoing radical nephroureterectomy.

Authors:  Pascal Mouracade; Michel Velten; Marc Gigante; Olivier Alenda; Guillaume Ploussard; Frederic Obadia; Marc Olivier Timsit; Arnaud Mejean
Journal:  Can J Urol       Date:  2012-02       Impact factor: 1.344

5.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

6.  Cancer statistics, 2005.

Authors:  Ahmedin Jemal; Taylor Murray; Elizabeth Ward; Alicia Samuels; Ram C Tiwari; Asma Ghafoor; Eric J Feuer; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2005 Jan-Feb       Impact factor: 508.702

7.  Incidence and survival of patients with carcinoma of the ureter and renal pelvis in the USA, 1973-2005.

Authors:  Jay D Raman; Jamie Messer; John A Sielatycki; Christopher S Hollenbeak
Journal:  BJU Int       Date:  2010-09-03       Impact factor: 5.588

8.  Impact of tumor location on prognosis for patients with upper tract urothelial carcinoma managed by radical nephroureterectomy.

Authors:  Jay D Raman; Casey K Ng; Douglas S Scherr; Vitaly Margulis; Yair Lotan; Karim Bensalah; Jean-Jacques Patard; Eiji Kikuchi; Francesco Montorsi; Richard Zigeuner; Alon Weizer; Christian Bolenz; Theresa M Koppie; Hendrik Isbarn; Claudio Jeldres; Wareef Kabbani; Mesut Remzi; Mathias Waldert; Christopher G Wood; Marco Roscigno; Mototsuga Oya; Cord Langner; J Stuart Wolf; Philipp Ströbel; Mario Fernández; Pierre Karakiewcz; Shahrokh F Shariat
Journal:  Eur Urol       Date:  2009-07-15       Impact factor: 20.096

9.  The protective role of renal parenchyma as a barrier to local tumor spread of upper tract transitional cell carcinoma and its impact on patient survival.

Authors:  Jinsung Park; Seong Heon Ha; Gyeng Eun Min; Cheryn Song; Bumsik Hong; Jun Hyuk Hong; Choung-Soo Kim; Hanjong Ahn
Journal:  J Urol       Date:  2009-07-17       Impact factor: 7.450

10.  Independent predictors of cancer-specific survival in transitional cell carcinoma of the upper urinary tract: multi-institutional dataset from 3 European centers.

Authors:  Giacomo Novara; Vincenzo De Marco; Fedra Gottardo; Orietta Dalpiaz; Vianney Bouygues; Antonio Galfano; Guido Martignoni; Jean Jacques Patard; Walter Artibani; Vincenzo Ficarra
Journal:  Cancer       Date:  2007-10-15       Impact factor: 6.860

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Review 1.  Prognostic factors and predictive tools for upper tract urothelial carcinoma: a systematic review.

Authors:  Aurélie Mbeutcha; Morgan Rouprêt; Ashish M Kamat; Pierre I Karakiewicz; Nathan Lawrentschuk; Giacomo Novara; Jay D Raman; Christian Seitz; Evanguelos Xylinas; Shahrokh F Shariat
Journal:  World J Urol       Date:  2016-04-21       Impact factor: 4.226

2.  Tumor Location Based Segmentation in Upper-Tract Urothelial Carcinoma Impacts on the Urothelial Recurrence-Free Survival: A Multi-Institutional Database Study.

Authors:  Teruo Inamoto; Hideyasu Matsuyama; Kazumasa Komura; Naokazu Ibuki; Kiyohide Fujimoto; Hiroaki Shiina; Shigeru Sakano; Kazuhiro Nagao; Hiroaki Mastumoto; Makito Miyake; Yoshihiro Tatsumi; Hiroaki Yasumoto; Haruhito Azuma
Journal:  Curr Urol       Date:  2020-12-18

Review 3.  Survival differences of patients with ureteral versus pelvicalyceal tumours: a systematic review and meta-analysis.

Authors:  Krystian Kaczmarek; Artur Lemiński; Adam Gołąb; Marcin Słojewski
Journal:  Arch Med Sci       Date:  2019-11-21       Impact factor: 3.318

Review 4.  Risk stratification for kidney sparing procedure in upper tract urothelial carcinoma.

Authors:  Zine-Eddine Khene; Romain Mathieu; Solène-Florence Kammerer-Jacquet; Thomas Seisen; Morgan Roupret; Shahrokh F Shariat; Benoit Peyronnet; Karim Bensalah
Journal:  Transl Androl Urol       Date:  2016-10

Review 5.  Predictive models and prognostic factors for upper tract urothelial carcinoma: a comprehensive review of the literature.

Authors:  Aurélie Mbeutcha; Romain Mathieu; Morgan Rouprêt; Kilian M Gust; Alberto Briganti; Pierre I Karakiewicz; Shahrokh F Shariat
Journal:  Transl Androl Urol       Date:  2016-10

Review 6.  Risk stratification for upper tract urinary carcinoma.

Authors:  Daniel Benamran; Thomas Seisen; Elias Naoum; Christophe Vaessen; Jérome Parra; Pierre Mozer; Shahrokh F Shariat; Morgan Rouprêt
Journal:  Transl Androl Urol       Date:  2020-08

7.  Clinical and prognostic value of preoperative hydronephrosis in upper tract urothelial carcinoma: a systematic review and meta-analysis.

Authors:  Yuejun Tian; Yuwen Gong; Yangyang Pang; Zhiping Wang; Mei Hong
Journal:  PeerJ       Date:  2016-06-21       Impact factor: 2.984

8.  Effects of tumor size and location on survival in upper tract urothelial carcinoma after nephroureterectomy.

Authors:  Shreyas S Joshi; Laura L Quast; Sam S Chang; Sanjay G Patel
Journal:  Indian J Urol       Date:  2018 Jan-Mar

9.  Comparison of clinicopathologic characteristics, epigenetic biomarkers and prognosis between renal pelvic and ureteral tumors in upper tract urothelial carcinoma.

Authors:  Dong Fang; Shiming He; Gengyan Xiong; Nirmish Singla; Zhenpeng Cao; Lei Zhang; Xuesong Li; Liqun Zhou
Journal:  BMC Urol       Date:  2018-03-27       Impact factor: 2.264

10.  A Model for the Prediction of Survival in Patients With Upper Tract Urothelial Carcinoma After Surgery.

Authors:  Guang-Lin Zhang; Wei Zhou
Journal:  Dose Response       Date:  2019-10-14       Impact factor: 2.658

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