Five decades of urologic pathology: the accelerating expansion of knowledge in renal cell neoplasia

MacLennan, Gregory T.; Cheng, Liang

doi:10.1016/j.humpath.2019.09.009

Cited by 19 publications

(17 citation statements)

References 143 publications

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“…The validity of this workflow is confirmed by an independent dataset collected from different sources. Most cancers are heterogeneous and contain several subtypes 1,2 . Those subtypes are usually characterized by distinct molecular profiles that drive tumors to develop and progress differently [9][10][11] .…”

Section: Discussionmentioning

confidence: 99%

“…Another important limitation is that our study used matched ccRCC for comparison with TFE3-RCC. There are diverse morphologic manifestations of TFE3-RCC 1,2,5 . They also mimic papillary RCC, clear cell papillary RCC, unclassified RCC, chromophobe RCC, oncocytoma, and other rare renal tumors.…”

Section: Discussionmentioning

confidence: 99%

“…enal cell carcinoma (RCC) consists of multiple heterogeneous subtypes 1,2 and is canonically classified into three major histologic subtypes: clear cell RCC (ccRCC) (~75%), papillary RCC (15-20%), and chromophobe RCC (~5%) 3,4 . In addition to the histopathologically defined subtypes of RCC, the Xp11.2 translocation RCC, a rare subtype associated with TFE3 gene fusion, was first officially recognized in the 2004 WHO renal tumor classification.…”

mentioning

confidence: 99%

“…Microscopically, TFE3-RCC cases often feature epithelioid clear cells arranged in branching, papillary structures with fibrovascular cores and/or a nested architecture. Although these features are suggestive of TFE3-RCC, the spectrum of morphology is quite variable and can overlap with other RCC subtypes such as ccRCC or papillary RCC 1,2 . For instance, some cases in the ccRCC and papillary RCC datasets of The Cancer Genome Atlas (TCGA) project are related to TFE3 or TFEB translocation 18,19 .…”

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confidence: 99%

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Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma

et al. 2020

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TFE3 Xp11.2 translocation renal cell carcinoma (TFE3-RCC) generally progresses more aggressively compared with other RCC subtypes, but it is challenging to diagnose TFE3-RCC by traditional visual inspection of pathological images. In this study, we collect hematoxylin and eosin-stained histopathology whole-slide images of 74 TFE3-RCC cases (the largest cohort to date) and 74 clear cell RCC cases (ccRCC, the most common RCC subtype) with matched gender and tumor grade. An automatic computational pipeline is implemented to extract image features. Comparative study identifies 52 image features with significant differences between TFE3-RCC and ccRCC. Machine learning models are built to distinguish TFE3-RCC from ccRCC. Tests of the classification models on an external validation set reveal high accuracy with areas under ROC curve ranging from 0.842 to 0.894. Our results suggest that automatically derived image features can capture subtle morphological differences between TFE3-RCC and ccRCC and contribute to a potential guideline for TFE3-RCC diagnosis.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma

et al. 2020

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“…In the last 70 years, from 1952 to 2020, the clinical spectrum of renal cell carcinomas (RCC) has expanded by the increased recognition of new entities and the refinements of existing categories (1,2). The classification system has grown along with electron microscopy, immunohistochemistry, cytogenetics, and molecular diagnostic techniques.…”

Section: Introductionmentioning

confidence: 99%

Towards a new WHO classification of renal cell tumor: what the clinician needs to know—a narrative review

Cimadamore¹,

Liu²,

Scarpelli³

et al. 2021

Transl Androl Urol

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In 1952, renal cell carcinomas had been divided into 2 categories-clear cell or granular celldepending upon their cytoplasmic staining characteristics. In the following years, the inventory of renal epithelial tumors has expanded by the addition of tumors named by their architectural pattern (i.e., papillary RCC, tubulocystic RCC), anatomic location (i.e., collecting duct carcinoma, renal medullary carcinoma), associated diseases (i.e., acquired cystic disease-associated RCCs). With the extensive application of molecular diagnostic techniques, it becomes possible to detect genetic distinctions between various types of renal neoplasm and discover new entities, otherwise misdiagnosed or diagnosed as unclassified RCC. Some tumors such as ALK rearrangement-associated RCC, MiT family translocation renal carcinomas, SDHdeficient renal cancer or FH-deficient RCC, are defined by their molecular characteristics. The most recent World Health Organization (WHO) classification of renal neoplasms account for more than 50 entities and provisional entities. New entities might be included in the upcoming WHO classification. The aim of this review is to summarise and discuss the newly acquired data and evidence on the clinical, pathological, molecular features and on the prognosis of new RCC entities, which will hopefully increase the awareness and the acceptance of these entities among clinicians and improve prognostication for individual patients.

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Systemic Therapies for Advanced Non-Clear Cell Renal Cell Carcinoma

Mendhiratta,

Noun,

Daneshvar

et al. 2023

Integrating Multidisciplinary Treatment for Advanced Renal Cell Carcinoma

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Five decades of urologic pathology: the accelerating expansion of knowledge in renal cell neoplasia

Cited by 19 publications

References 143 publications

Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma

Computational analysis of pathological images enables a better diagnosis of TFE3 Xp11.2 translocation renal cell carcinoma

Towards a new WHO classification of renal cell tumor: what the clinician needs to know—a narrative review

Systemic Therapies for Advanced Non-Clear Cell Renal Cell Carcinoma

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