Literature DB >> 34111953

Radioproteomics in patients with ovarian cancer.

Cathal McCague1,2, Lucian Beer1,2,3.   

Abstract

Radioproteomics is the integration of proteomics, the systematic study of the protein expression of an organism, with radiomics, the extraction and analysis of large numbers of quantitative features from medical images. This article examines this developing field, and it's application in high grade serous ovarian carcinoma. Seminal proteomic studies in the area of ovarian cancer, such as the PROVAR and CPTA studies are discussed, along side recent research, such as that highlighting the central role of methyltransferase nicotinamide N-methyltransferase as the metabolic regulation of cancer progression in the tumour stroma. Finally, this article considers a novel, hypothesis generating approach to integrate CT-based qualitative and radiomic features with proteomic analysis, and the future direction of the field. Combined advances in radiomic, proteomic and genomic analysis has the potential to signal the age of true precision medicine, where treatment is centered specifically on the molecular profile of the tumour, rather than based on empirical knowledge, thus altering the course of a disease that has the highest mortality of all cancers of the female reproductive system.

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Year:  2021        PMID: 34111953      PMCID: PMC9327772          DOI: 10.1259/bjr.20201331

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.629


  21 in total

Review 1.  Epithelial ovarian cancer.

Authors:  Stephanie Lheureux; Charlie Gourley; Ignace Vergote; Amit M Oza
Journal:  Lancet       Date:  2019-03-23       Impact factor: 79.321

Review 2.  Collaboration to Accelerate Proteogenomics Cancer Care: The Department of Veterans Affairs, Department of Defense, and the National Cancer Institute's Applied Proteogenomics OrganizationaL Learning and Outcomes (APOLLO) Network.

Authors:  L D Fiore; H Rodriguez; C D Shriver
Journal:  Clin Pharmacol Ther       Date:  2017-05       Impact factor: 6.875

3.  PACSIN 2 represses cellular migration through direct association with cyclin D1 but not its alternate splice form cyclin D1b.

Authors:  Hui Meng; Lifeng Tian; Jie Zhou; Zhiping Li; Xuanmao Jiao; Wayne W Li; Markus Plomann; Zhishun Xu; Michael P Lisanti; Chenguang Wang; Richard G Pestell
Journal:  Cell Cycle       Date:  2011-01-01       Impact factor: 4.534

Review 4.  Precision Medicine and Radiogenomics in Breast Cancer: New Approaches toward Diagnosis and Treatment.

Authors:  Katja Pinker; Joanne Chin; Amy N Melsaether; Elizabeth A Morris; Linda Moy
Journal:  Radiology       Date:  2018-06       Impact factor: 11.105

5.  Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.

Authors:  Hui Zhang; Tao Liu; Zhen Zhang; Samuel H Payne; Bai Zhang; Jason E McDermott; Jian-Ying Zhou; Vladislav A Petyuk; Li Chen; Debjit Ray; Shisheng Sun; Feng Yang; Lijun Chen; Jing Wang; Punit Shah; Seong Won Cha; Paul Aiyetan; Sunghee Woo; Yuan Tian; Marina A Gritsenko; Therese R Clauss; Caitlin Choi; Matthew E Monroe; Stefani Thomas; Song Nie; Chaochao Wu; Ronald J Moore; Kun-Hsing Yu; David L Tabb; David Fenyö; Vineet Bafna; Yue Wang; Henry Rodriguez; Emily S Boja; Tara Hiltke; Robert C Rivers; Lori Sokoll; Heng Zhu; Ie-Ming Shih; Leslie Cope; Akhilesh Pandey; Bing Zhang; Michael P Snyder; Douglas A Levine; Richard D Smith; Daniel W Chan; Karin D Rodland
Journal:  Cell       Date:  2016-06-29       Impact factor: 41.582

6.  Predicting time to ovarian carcinoma recurrence using protein markers.

Authors:  Ji-Yeon Yang; Kosuke Yoshihara; Kenichi Tanaka; Masayuki Hatae; Hideaki Masuzaki; Hiroaki Itamochi; Masashi Takano; Kimio Ushijima; Janos L Tanyi; George Coukos; Yiling Lu; Gordon B Mills; Roel G W Verhaak
Journal:  J Clin Invest       Date:  2013-08-15       Impact factor: 14.808

7.  Integrated genomic analyses of ovarian carcinoma.

Authors: 
Journal:  Nature       Date:  2011-06-29       Impact factor: 49.962

8.  Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis.

Authors:  Lucian Beer; Hilal Sahin; Erich Huang; Evis Sala; Nicholas W Bateman; Ivana Blazic; Hebert Alberto Vargas; Harini Veeraraghavan; Justin Kirby; Brenda Fevrier-Sullivan; John B Freymann; C Carl Jaffe; James Brenton; Maura Miccó; Stephanie Nougaret; Kathleen M Darcy; G Larry Maxwell; Thomas P Conrads
Journal:  Eur Radiol       Date:  2020-04-06       Impact factor: 5.315

9.  A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer.

Authors:  Haonan Lu; Mubarik Arshad; Andrew Thornton; Giacomo Avesani; Paula Cunnea; Ed Curry; Fahdi Kanavati; Jack Liang; Katherine Nixon; Sophie T Williams; Mona Ali Hassan; David D L Bowtell; Hani Gabra; Christina Fotopoulou; Andrea Rockall; Eric O Aboagye
Journal:  Nat Commun       Date:  2019-02-15       Impact factor: 14.919

10.  Predicting Ovarian Cancer Patients' Clinical Response to Platinum-Based Chemotherapy by Their Tumor Proteomic Signatures.

Authors:  Kun-Hsing Yu; Douglas A Levine; Hui Zhang; Daniel W Chan; Zhen Zhang; Michael Snyder
Journal:  J Proteome Res       Date:  2016-07-08       Impact factor: 4.466

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  1 in total

1.  BJR female genitourinary oncology special feature: introductory editorial.

Authors:  Stephanie Nougaret; Hebert Alberto Vargas; Evis Sala
Journal:  Br J Radiol       Date:  2021-09-01       Impact factor: 3.629

  1 in total

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