Literature DB >> 29713740

Radiogenomics in renal cell carcinoma.

Francesco Alessandrino1,2, Atul B Shinagare3,4, Dominick Bossé5, Toni K Choueiri5, Katherine M Krajewski3,4.   

Abstract

Radiogenomics, a field of radiology investigating the association between the imaging features of a disease and its gene expression pattern, has expanded considerably in the last few years. Recent advances in whole-genome sequencing of clear cell renal cell carcinoma (ccRCC) and the identification of mutations with prognostic significance have led to increased interest in the relationship between imaging and genomic data. ccRCC is particularly suitable for radiogenomic analysis as the relative paucity of mutated genes allows for more straightforward genomic-imaging associations. The ultimate aim of radiogenomics of ccRCC is to retrieve additional data for accurate diagnosis, prognostic stratification, and optimization of therapy. In this review article, we will present the state-of-the-art of radiogenomics of ccRCC, and after briefly reviewing updates in genomics, we will discuss imaging-genomic associations for diagnosis and staging, prognosis, and for assessment of optimal therapy in ccRCC.

Entities:  

Keywords:  CT; Clear cell renal cell carcinoma; Genomics; MRI; Radiogenomics

Year:  2019        PMID: 29713740     DOI: 10.1007/s00261-018-1624-y

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  10 in total

1.  MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.

Authors:  Arnaldo Stanzione; Carlo Ricciardi; Renato Cuocolo; Valeria Romeo; Jessica Petrone; Michela Sarnataro; Pier Paolo Mainenti; Giovanni Improta; Filippo De Rosa; Luigi Insabato; Arturo Brunetti; Simone Maurea
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

Review 2.  Background, applications and challenges of radiogenomics in genitourinary tumor.

Authors:  Longfei Liu; Xiaoping Yi; Can Lu; Yingxian Pang; Xiongbing Zu; Minfeng Chen; Xiao Guan
Journal:  Am J Cancer Res       Date:  2021-05-15       Impact factor: 6.166

3.  CT-Based Radiomics Signature With Machine Learning Predicts MYCN Amplification in Pediatric Abdominal Neuroblastoma.

Authors:  Xin Chen; Haoru Wang; Kaiping Huang; Huan Liu; Hao Ding; Li Zhang; Ting Zhang; Wenqing Yu; Ling He
Journal:  Front Oncol       Date:  2021-05-24       Impact factor: 6.244

4.  Radiogenomics correlation between MR imaging features and mRNA-based subtypes in lower-grade glioma.

Authors:  Zhenyin Liu; Jing Zhang
Journal:  BMC Neurol       Date:  2020-06-29       Impact factor: 2.474

5.  Integrative Radiogenomics Approach for Risk Assessment of Post-Operative Metastasis in Pathological T1 Renal Cell Carcinoma: A Pilot Retrospective Cohort Study.

Authors:  Hye Won Lee; Hwan-Ho Cho; Je-Gun Joung; Hwang Gyun Jeon; Byong Chang Jeong; Seong Soo Jeon; Hyun Moo Lee; Do-Hyun Nam; Woong-Yang Park; Chan Kyo Kim; Seong Il Seo; Hyunjin Park
Journal:  Cancers (Basel)       Date:  2020-04-02       Impact factor: 6.639

Review 6.  Combining molecular and imaging metrics in cancer: radiogenomics.

Authors:  Roberto Lo Gullo; Isaac Daimiel; Elizabeth A Morris; Katja Pinker
Journal:  Insights Imaging       Date:  2020-01-03

7.  Radiomic and gEnomic approaches for the enhanced DIagnosis of clear cell REnal Cancer (REDIRECt): a translational pilot methodological study.

Authors:  Francesco Cianflone; Dejan Lazarevic; Anna Palmisano; Giuseppe Fallara; Alessandro Larcher; Massimo Freschi; Giacomo Dell'Antonio; Giulia Maria Scotti; Marco J Morelli; Anna Maria Ferrara; Francesco Trevisani; Alessandra Cinque; Antonio Esposito; Alberto Briganti; Carlo Tacchetti; Claudio Doglioni; Alessandro Del Maschio; Francesco de Cobelli; Roberto Bertini; Andrea Salonia; Francesco Montorsi; Giovanni Tonon; Umberto Capitanio
Journal:  Transl Androl Urol       Date:  2022-02

Review 8.  The Next Paradigm Shift in the Management of Clear Cell Renal Cancer: Radiogenomics-Definition, Current Advances, and Future Directions.

Authors:  Nikhil Gopal; Pouria Yazdian Anari; Evrim Turkbey; Elizabeth C Jones; Ashkan A Malayeri
Journal:  Cancers (Basel)       Date:  2022-02-04       Impact factor: 6.639

9.  TCGA-TCIA Impact on Radiogenomics Cancer Research: A Systematic Review.

Authors:  Mario Zanfardino; Katia Pane; Peppino Mirabelli; Marco Salvatore; Monica Franzese
Journal:  Int J Mol Sci       Date:  2019-11-29       Impact factor: 5.923

10.  Three-Dimensional Printed Molds for Image-Guided Surgical Biopsies: An Open Source Computational Platform.

Authors:  Mireia Crispin-Ortuzar; Marcel Gehrung; Stephan Ursprung; Andrew B Gill; Anne Y Warren; Lucian Beer; Ferdia A Gallagher; Thomas J Mitchell; Iosif A Mendichovszky; Andrew N Priest; Grant D Stewart; Evis Sala; Florian Markowetz
Journal:  JCO Clin Cancer Inform       Date:  2020-08
  10 in total

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