scholarly journals The Morphological Spectrum of Papillary Renal Cell Carcinoma and Prevalence of Provisional/Emerging Renal Tumor Entities with Papillary Growth

Biomedicines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1418
Author(s):  
João Lobo ◽  
Riuko Ohashi ◽  
Birgit M. Helmchen ◽  
Niels J. Rupp ◽  
Jan H. Rüschoff ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Tumor ◽  
Papillary Renal Cell Carcinoma ◽  
Renal Neoplasm ◽  
Reversed Polarity ◽  
Papillary Growth

Renal cell carcinoma (RCC) represents a heterogeneous disease, encompassing an increasing number of tumor subtypes. Post-2016, the World Health Organization (WHO) classification recognized that the spectrum of papillary renal cell carcinoma is evolving and has long surpassed the dichotomic simplistic “type 1 versus type 2” classification. The differential diagnosis of pRCC includes several new provisional/emerging entities with papillary growth. Type 2 tumors have been cleared out of several confounding entities, now regarded as independent tumors with specific clinical and molecular backgrounds. In this work we describe the prevalence and characteristics of emerging papillary tumor entities in two renal tumor cohorts (one consisting of consecutive papillary tumors from a single institute, the other consisting of consultation cases from several centers). After a review of 154 consecutive pRCC cases, 58% remained type 1 pRCC, and 34% type 2 pRCC. Papillary renal neoplasm with reversed polarity (1.3%), biphasic hyalinizing psammomatous RCC (1.3%), and biphasic squamoid/alveolar RCC (4.5%) were rare. Among 281 consultation cases, 121 (43%) tumors had a dominant papillary growth (most frequently MiT family translocation RCCs, mucinous tubular and spindle cell carcinoma and clear cell papillary RCC). Our data confirm that the spectrum of RCCs with papillary growth represents a major diagnostical challenge, frequently requiring a second expert opinion. Papillary renal neoplasm with reversed polarity, biphasic hyalinizing psammomatous RCC, and biphasic squamoid/alveolar RCC are rarely sent out for a second opinion, but correct classification and knowledge of these variants will improve our understanding of the clinical behavior of renal tumors with papillary growth.

scholarly journals Morphologic subtyping as a prognostic predictor for survival in papillary renal cell carcinoma: Type 1 vs. type 2

2019 ◽  
Vol 37 (10) ◽  
pp. 721-726 ◽  
Author(s):  
Emily C.L. Wong ◽  
Richard Di Lena ◽  
Rodney H. Breau ◽  
Frederic Pouliot ◽  
Antonio Finelli ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Prognostic Predictor

scholarly journals Cytogenetic and Molecular Tumor Profiling for Type 1 and Type 2 Papillary Renal Cell Carcinoma

2009 ◽  
Vol 15 (4) ◽  
pp. 1162-1169 ◽  
Author(s):  
Tobias Klatte ◽  
Allan J. Pantuck ◽  
Jonathan W. Said ◽  
David B. Seligson ◽  
Nagesh P. Rao ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Tumor Profiling

Gene expression profiling identifies two distinct papillary renal cell carcinoma (RCC) subgroups of contrasting prognosis

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 4503-4503
Author(s):  
B. T. Teh ◽  
X. J. Yang ◽  
M. Tan ◽  
H. L. Kim ◽  
W. Stadler ◽  
...  
Keyword(s):  
Gene Expression ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Comparative Genomic ◽  
Low Grade ◽  
Class 1

4503 Background: Despite the moderate incidence of papillary renal cell carcinoma (PRCC), there is a disproportionately limited understanding of its underlying genetic programs. There is no effective therapy for metastatic PRCC, and patients are often excluded from kidney cancer trials. A morphological classification of PRCC into Type 1 and Type 2 tumors has been recently proposed, but its biological relevance remains uncertain. Methods: We studied the gene expression profiles of 34 cases of PRCC using Affymetrix HGU133 Plus 2.0 arrays (54,675 probe sets) using both unsupervised and supervised analysis. Comparative genomic microarray analysis (CGMA) was used to infer cytogenetic aberrations, and pathways were ranked with a curated database. Expression of selected genes was validated by immunohistochemistry in 34 samples, with 15 independent tumors. Results: We identified two highly distinct molecular PRCC subclasses with morphologic correlation. The first class, with excellent survival, corresponded to three histological subtypes: Type 1, low-grade Type 2 and mixed Type 1/low-grade Type 2 tumors. The second class, with poor survival, corresponded to high-grade Type 2 tumors (n = 11). Dysregulation of G1/S and G2/M checkpoint genes were found in Class 1 and Class 2 tumors respectively, alongside characteristic chromosomal aberrations. We identified a 7-transcript predictor that classified samples on cross-validation with 97% accuracy. Immunohistochemistry confirmed high expression of cytokeratin 7 in Class 1 tumors, and of topoisomerase IIα in Class 2 tumors. Conclusions: We report two molecular subclasses of PRCC, which are biologically and clinically distinct, which may be readily distinguished in a clinical setting. This may also have therapeutic implications. No significant financial relationships to disclose.

scholarly journals Unique Patterns of Allelic Imbalance Distinguish Type 1 from Type 2 Sporadic Papillary Renal Cell Carcinoma

2002 ◽  
Vol 161 (3) ◽  
pp. 997-1005 ◽  
Author(s):  
Melinda E. Sanders ◽  
Rosemarie Mick ◽  
John E. Tomaszewski ◽  
Frederic G. Barr
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Allelic Imbalance ◽  
Papillary Renal Cell Carcinoma

Survival Analysis of 130 Patients with Papillary Renal Cell Carcinoma: Prognostic Utility of Type 1 and Type 2 Subclassification

Urology ◽  
2007 ◽  
Vol 69 (2) ◽  
pp. 230-235 ◽  
Author(s):  
Géraldine Pignot ◽  
Caroline Elie ◽  
Sophie Conquy ◽  
Annick Vieillefond ◽  
Thierry Flam ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Survival Analysis ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Prognostic Utility

Type 1 papillary renal cell carcinoma: differentiation from Type 2 papillary RCC on multiphasic MDCT

2017 ◽  
Vol 42 (7) ◽  
pp. 1911-1918 ◽  
Author(s):  
Jonathan R. Young ◽  
Heidi Coy ◽  
Michael Douek ◽  
Pechin Lo ◽  
James Sayre ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Papillary Rcc

Functional magnetic resonance imaging for distinguishing type of papillary renal cell carcinoma: a preliminary study

2021 ◽  
Vol 94 (1126) ◽  
pp. 20201315
Author(s):  
Qingqiang Zhu ◽  
Jing Ye ◽  
Wenrong Zhu ◽  
Jingtao Wu ◽  
Wenxin Chen ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Magnetic Resonance ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Mean Diffusivity ◽  
Papillary Renal Cell Carcinoma ◽  
Diffusion Kurtosis Imaging ◽  
D Values

Objective: To investigate the feasibility of magnetic resonance diffusion kurtosis imaging (DKI) and intravoxel incoherent motion (IVIM) for distinguishing Type 1 and 2 of papillary renal cell carcinoma (PRCC). Methods: A total of Type 1 (n = 20) and Type 2 (n = 16) of PRCC were examined by pathology. For DKI and IVIM, mean diffusivity (MD), fractional anisotropy (FA), mean kurtosis (MK), kurtosis anisotropy (KA), radial kurtosis (RK), diffusivity (D), pseudodiffusivity (D*) and perfusion fraction (f) were performed in assessment of type of PRCC. Results: The mean SNRs of IVIM and DKI images at b = 1500 and 2000 s/mm2 were 8.6 ± 0.8 and 7.8 ± 0.6. Statistically significant differences were observed in MD and D values (1.11 ± 0.23 vs 0.73 ± 0.13, 0.91 ± 0.24 vs 0.49 ± 0.13, p < 0.05) between Type 1 and Type 2 of PRCC, while comparable FA, RK, D* and f values were found between Type 1 and Type 2 of PRCC (p > 0.05). Statistically significant differences were observed in MK and KA values (1.23 ± 0.16 vs 1.91 ± 0.26, 1.49 ± 0.19 vs 2.36 ± 0.39, p < 0.05) between Type 1 and Type 2 of PRCC. Areas of MD, MK, KA and D values under ROC curves for differentiating Type 1 and Type 2 of PRCC were 0.836, 0.818, 0.881 and 0.766, respectively. Using MD, MK, KA and D values of 0.93, 1.64, 1.94, 0.68 as the threshold value for differentiating Type 1 from Type 2 of PRCC, the best result obtained had a sensitivity of 85.0%, 80.0%, 90.0%, 85.0%, a specificity 75.0%, 68.7%, 87.5%, 81.2%, and an accuracy of 83.3%, 80.5%, 88.9%, 86.1%, respectively. Conclusion: DKI and IVIM are feasible techniques for distinguishing type of PRCC, given an adequate SNR of IVIM and DKI images. Advances in knowledge: 1. MD and D values are higher for Type 1 of PRCC and lower for Type 2 of PRCC. 2. MK and KA values are higher for Type 2 of PRCC and lower for Type 1 of PRCC. 3. DKI and IVIM can be used as clinical biomarker for PRCC type’s differential diagnosis, given an adequate SNR.

scholarly journals Cytomorphologic comparison of type 1 and type 2 papillary renal cell carcinoma: A retrospective analysis of 28 cases

2019 ◽  
Vol 127 (6) ◽  
pp. 370-376 ◽  
Author(s):  
Martin J. Magers ◽  
Carmen M. Perrino ◽  
Harvey M. Cramer ◽  
Howard H. Wu
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Retrospective Analysis ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma
Sign in / Sign up

Export Citation Format

Share Document