Literature DB >> 34754225

Clinicopathological Features and Prognostic Outcomes of Papillary Renal Cell Carcinoma.

Xiaoyuan Qian1, Junlai Wan2, Can Qian3, Jiaqiao Zhang1.   

Abstract

PURPOSE: Although papillary renal cell carcinoma (pRCC) is the second common renal malignant tumor, the current understanding of pRCC is poor. This study aims to explore the clinicopathological features and prognostic factors of pRCC.
METHODS: From August 2007 and August 2017, 87 patients diagnosed with pRCC by postoperative pathology were enrolled. The clinicopathological features between type1 pRCC and type2 pRCC were compared by Chi-square test, Fisher's exact test, or t-test. The Kaplan-Meier method was performed to estimate progression-free survival (PFS). Univariate and multivariate cox regression models were used to verify the prognostic factors.
RESULTS: Of the 87 cases, the median tumor diameter was 5.3cm. Twenty-nine patients were diagnosed with type1 pRCC and 58 patients with type2 pRCC. According pathological stage, 59 (67.8%) cases were in pT1 stage, 19 (21.8%) in pT2 stage, and 9 (10.4%) in pT3 stage. WHO/ISUP pathological grade revealed that 56 (64.4%) patients were in grade I, 17 (19.5%) in grade II, 7 (8.05%) in grade III, and 7 (8.05%) in grade IV. The median follow-up time was 57.0months, and the 1-, 3-year PFS was 95.4%, and 80.8%, respectively. For type1 and type2 pRCC, 3-years PFS was 93.0% and 74.9%, respectively. Survival of type1 pRCC was better than that of type2 (P= 0.027). Patients with late pT stage, lymph node metastasis, distant metastasis, high pathological grade, and large size exhibited worse survival. pTNM stage, pathological grade, and tumor types were potentially related to prognosis for PFS. However, an independent prognostic factor affecting PFS was not found in multivariate regression models. For patients with the pT1 stage, nephron-sparing surgery (NSS) and radical nephrectomy (RN) did not affect the PFS, ignoring tumor types (P=0.45).
CONCLUSION: Type2 pRCC is more than type1 pRCC and has an advanced TNM stage and a higher pathological grade. For patients with pRCC with the pT1 stage, the outcome of NSS is not inferior to that of RN.
© 2021 Qian et al.

Entities:  

Keywords:  clinical features; papillary renal cell carcinoma; pathological features; prognosis

Year:  2021        PMID: 34754225      PMCID: PMC8572091          DOI: 10.2147/IJGM.S340569

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

PRCC is the second most common subtype of renal cell carcinoma (RCC) following clear cell RCC, originating from renal tubular epithelial cells and having papillary or tubular-papillary structures, which accounts for 10–14% of RCC.1,2 According to the arrangement of tumor cells and nuclear grade, pRCC was classified into type 1 and type 2. The prognosis of type1 pRCC was better than that of type2 pRCC and cytogeny and molecular biology studies have shown that it had an independent genetic phenotype.3,4 Some clinical and pathological characteristics, including tumor Fuhrman's stage, tumor size, pathological grade, multifocality, and necrosis were considered to be related to outcomes of pRCCs.5,6 Tumor growth was slow and most patients were found in the early stage, thus pRCC showed a better prognosis. Although the prognosis of pRCCs was better than that of clear cell RCC, studies about the clinicopathological features and prognosis of pRCC were few for its low morbidity and fatality. And there is still no standard treatment strategy for pRCC. To have a good clinical understanding of these tumor characteristics, we therefore retrospectively analyzed the clinicopathologic features, treatment methods, and prognosis outcome of 87 patients with pRCC, who had undergone surgical treatment from August 2007 and August 2017. And for all we know, this study included the relatively large number of cases at a single institution for discussion and may provide a reference for clinical diagnosis and treatment of pRCC patients.

Materials and Methods

Methods

According to the Declaration of Helsinki, the Ethics Committee of Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology approved this study. Because this study belonged to a retrospective study, patient consent to review their medical records was waived. A total of 2240 patients were diagnosed with RCC and treated at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from August 2007 and August 2017. After the cases with incomplete clinicopathological data and lost follow-up were excluded, among RCC patients, 87 cases diagnosed with pRCC by pathology were eventually enrolled in the study. The median age of patients included was 53 years (IQR: 44 to 61years). All patients consisted of 21 (24.1%) females and 66 (75.9%) males. In terms of main clinical presentation, 50 (57.5%) cases do not show significant symptoms, 22 (25.3%) had hematuria and lower back pain, 9 (10.3%) only presented hematuria, and 6 (6.9%) other such as feeble, fever or discomfort in the waist. Among them, 33 (37.9%) cases underwent NSS, and 54 (62.1%) patients received RN.

Follow-Up

Clinical data and abdominal CT follow-up information for patients with pRCC were mainly collected through outpatient data and added by a telephone interview. When disease recurrence was defined as local recurrence in the operative site, regional lymph nodes, or distant metastasis, RFS was defined as the time from the date of surgical therapy to the date of tumor recurrence or death caused by pRCC. All cases were followed up for a median of 57.0months (IQR: 43.5 to 72.0months). The endpoint time of follow-up was viewed as the time of the death or up to May 1, 2020, for surviving patients.

Statistical Analysis

All statistical analyses were performed using R 3.6.3 software (The R Foundation for Statistical Computing, Vienna, Austria). Continuous data that belong to a normal distribution were presented as mean ± standard deviation (SD) and performed with Student’s t-test, while clinicopathologic characteristics with a non-normal distribution were described by the median and interquartile range (IQR) and compared by Mann–Whitney U-test. And categorical variables were recorded in numbers and percentages and were compared by Chi-square test or Fisher’s exact test. Kaplan-Meier method was used to evaluated PFS and conducted survival curves. And Log rank tests were applied to compare differences between survival curves. The Cox proportional hazards regression model was used to analyze the factors affecting PFS. A P<0.05 (two-sided) was considered to be statistically significant.

Results

Description of Pathological Features

In 87 cases, the mean maximum diameter of the tumor was 5.30cm (IQR:3.65 to 7.15cm). The average age of type2 pRCC was younger than that of type1 pRCC (P=0.024). According pathological stage, 59 (67.8%) cases were in pT1 stage, 19 (21.8%) in pT2 stage, 9 (10.3%) in pT3 stage, and 0 (0%) in pT4 stage. And WHO/ISUP pathological classification showed that 56 (64.4%) patients were in grade I, 17 (19.5%) in grade II, 7 (8.1%) in grade III, and 7 (8.1%) in grade IV. There were 19 (21.8%) cases with necrosis in tumor tissues. After the operation, there were 29 (33.3%) cases pathologically identified as type1 pRCC and 58 (66.7%) type1 pRCC. Compared type1 pRCC, type2 pRCC had an advanced T stage (P=0.008), more positive node metastasis (P=0.027), large tumor size (P=0.005), and high pathological grade (P=0.004). Differences between the two types of pRCC were summarized in Table 1.
Table 1

Comparison of Clinicopathological Features Between Type 1 and Type 2 pRCC

Clinicopathologic FeaturesAll (87)Type 1 pRCC (29)Type 2 pRCC (58)P value
Sex, n (%)0.425
Female21 (24.1%)5 (17.2%)16 (27.6%)
Male66 (75.9%)24 (82.8%)42 (72.4%)
Age, mean (SD)51.8 (14.5)56.3 (11.7)49.5 (15.3)0.024
BMI, median (Q1, Q3)23.0 (21.3, 25.3)22.9 (21.1, 25.3)23.2 (21.7, 25.9)0.106
Smoking, n (%)0.304
Yes31 (35.6%)13 (44.8%)18 (31.0%)
No56 (64.4%)16 (55.2%)40 (69.0%)
Diabetes mellitus, n (%)1
Yes6 (6.9%)2 (6.9%)4 (6.9%)
No81 (93.1%)27 (93.1%)54 (93.1%)
Hypertension, n (%)0.425
Yes21 (24.1%)9 (31.0%)12 (20.7%)
No66 (75.9%)20 (69.0%)46 (79.3%)
Symptoms, n (%)0.088
Asymptom50 (57.5%)18 (62.1%)32 (55.2%)
Hematuresis9 (10.3%)0 (0.0%)9 (15.5%)
Hematuresis and pain22 (25.3%)8 (27.6%)14 (24.1%)
Other6 (6.9%)3 (10.3%)3 (5.2%)
Laterality, n (%)0.255
Left45 (51.7%)12 (41.4%)33 (56.9%)
Right42 (48.3%)17 (58.6%)25 (43.1%)
Tumor size, median (Q1, Q3)5.3 (3.7, 7.2)4.00 (3.0, 5.9)6.05 (4.6, 8.0)0.005
T, n (%)0.008
T159 (67.8%)26 (89.7%)33 (56.9%)
T219 (21.8%)2 (6.90%)17 (29.3%)
T39 (10.4%)1 (3.4%)8 (13.8%)
N, n (%)0.027
N077 (88.5%)29 (100%)48 (82.8%)
N110 (11.5%)0 (0.0%)10 (17.2%)
M, n (%)0.172
M081 (93.1%)29 (100%)52 (89.7%)
M16 (6.9%)0 (0.0%)6 (10.3%)
Pathological grading, n (%)0.004
I56 (64.4%)26 (89.7%)30 (51.7%)
II17 (19.5%)2 (6.9%)15 (25.9%)
III7 (8.1%)1 (3.5%)6 (10.3%)
IV7 (8.1%)0 (0.0%)7 (12.1%)
ASA, n (%)0.439
111 (12.6)3 (10.3%)8 (13.8%)
265 (74.7%)21 (72.4%)44 (75.9%)
39 (10.3%)5 (17.2%)4 (6.9%)
42 (2.3%)0 (0.0%)2 (3.5%)
Resection mode, n (%)0.482
NSS33 (37.9%)13 (44.8%)20 (34.5%)
RN54 (62.1%)16 (55.2%)38 (65.5%)
Necrosis, n (%)0.927
Yes19 (21.8%)7 (24.1%)12 (20.7%)
No68 (78.2%)22 (75.9%)46 (79.3%)

Abbreviations: BMI, body mass index; NSS, the nephron-sparing surgery; RN, radical nephrectomy; ASA, American Society of Anesthesiologists.

Comparison of Clinicopathological Features Between Type 1 and Type 2 pRCC Abbreviations: BMI, body mass index; NSS, the nephron-sparing surgery; RN, radical nephrectomy; ASA, American Society of Anesthesiologists. All 87 patients underwent successful surgery. The median follow-up of this cohort was 57.0months (IQR: 43.5 to 72.0months). Of 87 patients, 10 (11.5%) occurred lymph node metastasis, and 6 (6.9%) had distant metastasis (including 3 lung metastases, 1 bone metastases, 1 liver metastases, and retroperitoneal metastasis, and 1 psoas major metastasis). During the follow-up period, 19 patients developed progression of the disease and 9 patients died from all causes. PFS was obtained by the Kaplan-Meier method and the 1-, 3- and 5-year PFS of 87 patients were 95.3%, 83.0%, 83.0%, respectively. There was a better PFS in patients with the pT3 stage than that in patients with pT1/pT2 (P<0.001, Figure 1A). And lymph node metastasis made patients with pRCC worse PFS (P<0.001, Figure 1B). Similarly, the distant metastasis of the tumor could shorten the PFS of pRCC patients (P<0.001, Figure 1C). And an advanced pathological grade was also not conducive to PFS (P<0.001, Figure 1D). The patients with type2 pRCC exhibited better PFS (P=0.027, Figure 1E) than patients with type1 pRCC. In addition, small tumor size patients presented higher PFS than large tumor size patients (P=0.047, Figure 1F).
Figure 1

Kaplan–Meier estimate of progression-free survival by (A) T classification, (B) N classification, (C) M classification, (D) pathological grading, (E) histopathologic type, and (F) tumor size.

Kaplan–Meier estimate of progression-free survival by (A) T classification, (B) N classification, (C) M classification, (D) pathological grading, (E) histopathologic type, and (F) tumor size. Stratified analysis was performed according to the pT stage, NSS or RN had nothing to do with PFS in patients with pRCC at the pT1 stage (Figure 2A). Similarly, we grouped T1 patients by tumor type and discovered that patients’ PFS were not affected by the method of surgery (Figure 2B and C).
Figure 2

Kaplan–Meier survival curves of progression-free survival for procedure type. (A) all patients in pT1 stage, (B) type1 pRCC patients in pT1 stage, and (C) type2 pRCC patients in pT1 stage.

Kaplan–Meier survival curves of progression-free survival for procedure type. (A) all patients in pT1 stage, (B) type1 pRCC patients in pT1 stage, and (C) type2 pRCC patients in pT1 stage.

Univariate and Multivariate Analysis of Prognostic Factors for PFS

The median PFS was 53.0 months (IQR: 33.0 to 71months). The results of univariate analysis of factors that affected the prognosis of the tumor were shown in Table 2. In the univariable Cox regression models, TNM classification, pathological grade, and tumor histopathologic type were significantly associated with PFS (P<0.05). All factors with P<0.1 in univariable Cox regression model analysis were then included and adjusted by multivariable Cox regression model analysis (Table 2). However, some factors affecting PFS in patients with pRCC were not found (Table 2).
Table 2

Univariable and Multivariable Cox Regression Model Analysis of PFS for pRCC Patients

VariablesUnivariable CoxMultivariable Cox
Progression-Free SurvivalProgression-Free Survival
HR (95% CI)P-valueHR (95% CI)P-value
Sex
FemaleReference
Male0.66 [0.20; 2.19]0.497
Age (years)
<40Reference
40–601.015 [0.27; 3.83]0.441
≥601.69 [0.45; 6.36]0.983
Smoking
NoReference
Yes0.40 [0.13; 1.21]0.105
Hypertension
NoReference
Yes0.32 [0.07; 1.37]0.123
Diabetes
NoReference
Yes1.68 [0.39; 7.26]0.491
Laterality
LeftReference
Right0.66 [0.26; 1.64]0.368
Tumor size (cm)
<5.3cmReferenceReference
≥5.3cm2.69 [0.97; 7.46]0.0580.73 [0.18; 2.90]0.656
T stage
T1ReferenceReference
T21.78 [0.52; 6.07]0.3591.45 [0.32; 6.61]0.53
T37.58 [1.89; 30.36]0.0032.82 [0.59; 13.57]0.331
N stage
N0ReferenceReference
N114.31 [5.57; 36.76]0.0013.61 [0.59; 22.21]0.165
M stage
M0ReferenceReference
M18.56 [2.98; 24.59]0.0440.72[0.17; 2.99]0.654
Pathological grading
IReference
II2.41 [0.54; 10.77]0.2491.23 [0.004; 35.05]0.946
III10.52 [5.33; 67.53]0.0141.50 [0.06; 40.33]0.808
IV22.89 [6.23; 84.15]0.006-0.998
Resection mode
NSSReference
RN1.59 [0.57; 4.43]0.371
pRCC
Type 1ReferenceReference
Type 24.51 [1.04; 19.53]0.0442.23 [0.46; 10.89]0.32
Necrosis, n (%)
NoReference
Yes1.76 [0.67; 4.62]0.255

Abbreviations: CI%, confidence interval; HR, hazard ratio.

Univariable and Multivariable Cox Regression Model Analysis of PFS for pRCC Patients Abbreviations: CI%, confidence interval; HR, hazard ratio.

Discussion

PRCC is the second subtype of RCC, but overall incidence is relatively low, and relevant studies about its clinicopathological characteristics and outcomes of pRCC are not well researched and need to be improved. Compared with clear cell RCC, most patients were recognized early, and only a small number of patients had nodal or distant metastases occurring.7 PRCC was pathologically divided into two subtypes - type 1 and type2.8,9 There also existed differences in clinicopathologic features and prognosis between the two types. And pRCC type1 was more common and less malignant than type2 pRCC, which were generally considered to present a better prognosis than pRCC type2.10−12 To deepen clinicians’ understanding of this tumor and guide clinical decision-making, we summarized the clinicopathologic features of pRCC and analyzed its prognostic characteristics. And what we found was that the clinicopathological features did differ significantly between the two types of tumor and type2 pRCC had an advanced TNM stage and a higher pathological grade and that regardless of the type of tumor, patients benefited from the early operation. PRCC had a different low incidence of kidney tumors. It accounted for 5% of RCC in Korea.13 Similarly, the incidence of pRCC also was reported by Japanese scholars14 and in the United States, that was 9.7% of RCC.15 And in some European countries, such as Germany, there was more than 10% incidence reported.2 In our cohort, pRCC accounted for 3.9% (87/2240) of RCC, which was lower than that occurred in the United States or European countries, similar to what has been reported in Asian countries-Japan, South Korea, and China. And that Asian population had a low incidence of pRCC was shown. In addition, different from the results of previous studies, type1 pRCC was not common. The number of type2 pRCC was about twice as large as type1 pRCC in our department. The cause of these differences may be that the population enrolled in this study was all from Chinese areas, which may result in population differences and geographical differences. Most patients with pRCC often lack typical clinical manifestations and are incidentally detected during physical examination. In this study, 57.5% of the patients found by physical examination did not present discomfort, and the remained patients presented clinical symptoms- hematuria (10.3%), hematuria combined with waist pain (25.3%), and other symptoms, such as feebleness, fever, etc. We also found that recurrence and metastasis tended to occur in patients with type 2 pRCC, which often caused hematuria, waist pain, or other symptoms. In terms of features under the microscope, type1 pRCC has lots of papillae and tubular structures which covered many small single-layer tumor cells with pale cytoplasm, small oval nuclei, frequent glomeruloid papillae, papillary edema, foamy macrophages in papillary cores, and psammoma bodies. Type2 tumor cells mainly consist of papillary structures covered with pseudostratified cells and it has large cells with abundant eosinophilic cytoplasm, obvious nucleoli in the nucleus.8 In our cohort, 59 (67.8%) cases were in pT1 stage, 19 (21.8%) in pT2 stage, 9 (10.3%) in pT3 stage, and 0 (0%) in pT4 stage. And WHO/ISUP pathological classification showed that 56 (64.4%) patients were in grade I, 17 (19.5%) in grade II, 7 (8.1%) in grade III, and 7 (8.1%) in grade IV. Consistent with previous studies,13,16 most of the pathological stages of pRCC were early stage, mainly T1 stage, and the majority of pathological grades were grade I and grade II. Delahunt and collaborators reported that the classification of pRCC was an important prognostic factor.8 Type 2 pRCC had a higher pathological grade, a later tumor stage, and a worse prognosis. Therefore, the clinicopathological differences between type 1 and type 2 pRCC require further stratified analysis. In our results, patients with type 1 pRCC in pT1, and pT2 accounted for 96.6%, and patients with pT3 and pT4 only for 3.4%, while type 2 pRCC patients with pT1 and pT2 accounted for 86.2%, and with pT3 for 13.8% (P<0.05). In terms of pathological grading, the number of type 1 pRCC in grades I and II (96.6%) was more than type 2 pRCC in grades I and II (77.6%). Type 2 pRCC had a late pT stage and a high pathological grade (P<0.05). The pathological characteristics of type2 pRCC suggested that their tumor biological behavior was more aggressive. In renal cell carcinoma, the prognosis of pRCC is better, and type 2 pRCC has a worse prognosis than type 1.17,18 In our study, the 3-year PFS of patients with type 1 and type 2 pRCC was 92.2% and 78.9%, respectively, still indicating that type 2 pRCC had a worse prognosis than type 1 pRCC. At present, there are still different opinions about other factors related to the survival of pRCC patients. Pierre Bigot revealed that the tumor stage superior to pT1 was the only prognostic factor of pRCC.10 Cornejo et al found that only ISUP nucleolar grade and lymphovascular invasion were independently prognostic for CSS and OS.16 But in Géraldine Pignot’s study, tumor type and TNM stage were two major significant prognostic factors.3 And in our study, pTNM classification, pathological classification, and types of pRCC were potentially related to prognostic outcome, but no significant factor affecting the PFS of patients with pRCC was recognized. Besides histopathological features and molecular factors, Immunocore was focused on in recent studies and was applied to evaluate its impact on oncological outcomes of RCC. The combination of Immunocore and clinicopathological features - TNM stage, Fuhrman grade, or the WHO/ISUP 2016 grade - can better evaluate oncological outcomes of renal tumors.19 And the outcome and tumor immunology of non-ccRCC subtypes were not very same as ccRCC.20,21 Although the effect of Immunocore on predicting prognosis in non-ccRCC cases was not still observed, the role of Immunocore in estimating the prognosis of pRCC was worth being investigated in the following study.21 And more large prospective, well-designed studies are needed to confirm these results. Different surgical methods have different impacts on the prognosis of cancer patients, which are often developed following the principle of minimal injury to the patient. Type2 pRCC is more aggressive than type1, and its pathological stage and grade of the tumor are higher. And most scholars recommend radical surgery for patients with type2 pRCC. However, the histological classification of pRCC had no significant effect on the prognosis of patients undergoing NSS.10 And the localized pRCC had a good prognosis following NSS. In our study, surgical methods (NSS and RN) also did not affect the postoperative PFS of patients with the pT1 stage (P=0.45). The same result was also obtained when patients were divided into subgroups by histological type. Equally important, surgical methods were also not a risk factor affecting PFS in multivariate cox regression models. Therefore, if the conditions were met, NSS was a feasible option for patients with early localized pRCC. This study belonged to retrospective analysis. When the tumor stages were the same, the surgeon may choose NSS or RN according to the tumor location and the general condition of the patient, which made the results biased. However, during the limited follow-up period of this study, the prognosis of pT1 patients with type1 or type2 pRCC who underwent NSS was not inferior to that of RN. Therefore, the results may suggest that whatever type of pRCC at the pT1 stage, NSS can be considered.

Conclusion

In short, pRCC is a relatively rarely rare clinical renal cell carcinoma with a good prognosis. It is mainly diagnosed by pathological morphology and its clinical manifestations are similar to other types of RCC. Type2 pRCC was more malignant and aggressive than type1 pRCC. And although type1 pRCC was less common, it was generally considered to present a better prognosis than pRCC type2. The outcome of NSS is the same as that of RN and NSS may be considered.
  21 in total

Review 1.  Papillary Renal Cell Carcinoma (PRCC): An Update.

Authors:  Mohammed Akhtar; Issam A Al-Bozom; Turki Al Hussain
Journal:  Adv Anat Pathol       Date:  2019-03       Impact factor: 3.875

2.  Morphologic typing of papillary renal cell carcinoma: comparison of growth kinetics and patient survival in 66 cases.

Authors:  B Delahunt; J N Eble; M R McCredie; P B Bethwaite; J H Stewart; A M Bilous
Journal:  Hum Pathol       Date:  2001-06       Impact factor: 3.466

3.  Papillary renal cell carcinoma: correlation of tumor grade and histologic characteristics with clinical outcome.

Authors:  Kristine M Cornejo; Fei Dong; Amy G Zhou; Chin-Lee Wu; Robert H Young; Kristina Braaten; Peter M Sadow; G P Nielsen; Esther Oliva
Journal:  Hum Pathol       Date:  2015-07-15       Impact factor: 3.466

4.  Papillary renal cell carcinoma: a clinicopathologic and immunohistochemical study of 105 tumors.

Authors:  B Delahunt; J N Eble
Journal:  Mod Pathol       Date:  1997-06       Impact factor: 7.842

5.  Comparison of survival outcomes in patients with metastatic papillary vs. clear-cell renal cell carcinoma: a propensity-score analysis.

Authors:  Giuseppe Rosiello; Carlotta Palumbo; Sophie Knipper; Angela Pecoraro; Stefano Luzzago; Pierre-Antoine St-Hilaire; Zhe Tian; Umberto Capitanio; Francesco Montorsi; Shahrokh F Shariat; Fred Saad; Alberto Briganti; Pierre I Karakiewicz
Journal:  World J Urol       Date:  2020-04-06       Impact factor: 4.226

6.  The prognostic effect of immunoscore in patients with clear cell renal cell carcinoma: preliminary results.

Authors:  Ismail Selvi; Umut Demirci; Nazan Bozdogan; Halil Basar
Journal:  Int Urol Nephrol       Date:  2019-09-20       Impact factor: 2.370

Review 7.  The 2016 WHO Classification of Tumours of the Urinary System and Male Genital Organs-Part A: Renal, Penile, and Testicular Tumours.

Authors:  Holger Moch; Antonio L Cubilla; Peter A Humphrey; Victor E Reuter; Thomas M Ulbright
Journal:  Eur Urol       Date:  2016-02-28       Impact factor: 20.096

8.  Morphological subtyping of papillary renal cell carcinoma: clinicopathological characteristics and prognosis.

Authors:  Shinichi Yamashita; Naomasa Ioritani; Katsuhiko Oikawa; Masataka Aizawa; Mareyuki Endoh; Yoichi Arai
Journal:  Int J Urol       Date:  2007-08       Impact factor: 3.369

9.  Is there a role of the histologic subtypes of papillary renal cell carcinoma as a prognostic factor?

Authors:  Ja Hyeon Ku; Kyung Chul Moon; Cheol Kwak; Hyeon Hoe Kim; Sang Eun Lee
Journal:  Jpn J Clin Oncol       Date:  2009-07-08       Impact factor: 3.019

10.  The subclassification of papillary renal cell carcinoma does not affect oncological outcomes after nephron sparing surgery.

Authors:  Pierre Bigot; Jean-Christophe Bernhard; Inderbir S Gill; Nam Son Vuong; Grégory Verhoest; Vincent Flamand; Boris Reix; Evren Suer; Ilker Gökce; Jean Baptiste Beauval; François Xavier Nouhaud; Masatoshi Eto; Eduard Baco; Toru Matsugasumi; Yvonne Chowaniec; Jérôme Rigaud; Claire Lenormand; Christian Pfister; Jean François Hetet; Guillaume Ploussard; Morgan Roupret; Priscilla Léon; Adnan El Bakri; Stéphane Larré; Xavier Tillou; Arnaud Doerfler; Aurélien Descazeaud; Nicolas Koutlidis; Alexandre Schneider; Philippe Sebe; Alexandre Ingels; Abdel Rahmène Azzouzi; Michel Soulié; Arnaud Méjean; Karim Bensalah; Jean-Jacques Patard
Journal:  World J Urol       Date:  2015-07-07       Impact factor: 4.226

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  1 in total

Review 1.  Long Non-Coding RNAs as Novel Biomarkers in the Clinical Management of Papillary Renal Cell Carcinoma Patients: A Promise or a Pledge?

Authors:  Francesco Trevisani; Matteo Floris; Riccardo Vago; Roberto Minnei; Alessandra Cinque
Journal:  Cells       Date:  2022-05-17       Impact factor: 7.666

  1 in total

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