Literature DB >> 34291700

Pathology and systemic therapy of non-clear cell renal cell carcinoma: an overview.

Lothar Bergmann1,2, Sarah Weber1, Arndt Hartmann3, Marit Ahrens1.   

Abstract

Introduction: Non-clear cell renal cell carcinoma (nccRCC) represents a highly heterogenous group of kidney cancer entities. As most clinical trials predominantly include patients with clear cell RCC (ccRCC), nccRCC treatment guidelines are mainly extrapolated from recommendations in ccRCC. Here, we review and elucidate current data on the pathologic classification and treatment of nccRCC.Areas covered: This article gives an overview of the WHO classification of RCC, showing the histological diversity of nccRCC and focusing particularly on entities first characterized since 2016, their specific molecular behavior and their role as indicators for hereditary cancer syndromes. In this context, we discuss the available data on nccRCC treatment oprtions such as tyrosine kinase inhibitors, mammalian target of rapamycin inhibitors, cytotoxic chemotherapy, and immune checkpoint inhibitors.Expert opinion: Although nccRCCs are relatively uncommon, entities of this type account for a subgroup of up to 20-25% of all RCCs. Advances in histopathology and molecular genetics, together with evidence gained from retrospective and prospective clinical data, have improved understanding of these tumors in recent years. Nevertheless, selective trials of current and novel therapies including new targeted agents in patients with nccRCC are urgently needed to further improve treatment guidelines.

Entities:  

Keywords:  Immune checkpoint inhibitors; non-clear cell renal cell cancer; papillary renal cell cancer; pathology; therapy

Mesh:

Year:  2021        PMID: 34291700     DOI: 10.1080/14737140.2021.1959319

Source DB:  PubMed          Journal:  Expert Rev Anticancer Ther        ISSN: 1473-7140            Impact factor:   4.512


  3 in total

1.  A Novel Machine Learning Algorithm Combined With Multivariate Analysis for the Prognosis of Renal Collecting Duct Carcinoma.

Authors:  Liwei Wei; Yongdi Huang; Zheng Chen; Jinhua Li; Guangyi Huang; Xiaoping Qin; Lihong Cui; Yumin Zhuo
Journal:  Front Oncol       Date:  2022-01-13       Impact factor: 6.244

2.  The synergism of spatial metabolomics and morphometry improves machine learning-based renal tumour subtype classification.

Authors:  Verena M Prade; Na Sun; Jian Shen; Annette Feuchtinger; Thomas Kunzke; Achim Buck; Peter Schraml; Holger Moch; Kristina Schwamborn; Michael Autenrieth; Jürgen E Gschwend; Franziska Erlmeier; Arndt Hartmann; Axel Walch
Journal:  Clin Transl Med       Date:  2022-02

3.  Identification of an immune-related gene prognostic index for predicting survival and immunotherapy efficacy in papillary renal cell carcinoma.

Authors:  Dongshan Chen; Chen Zhang; Yuanwei Zang; Wei Wang; Jiandong Zhang
Journal:  Front Genet       Date:  2022-08-29       Impact factor: 4.772

  3 in total

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