Literature DB >> 28964588

Precision Oncology and Genomically Guided Radiation Therapy: A Report From the American Society for Radiation Oncology/American Association of Physicists in Medicine/National Cancer Institute Precision Medicine Conference.

William A Hall1, Carmen Bergom2, Reid F Thompson3, Andrew M Baschnagel4, Srinivasan Vijayakumar5, Henning Willers6, X Allen Li2, Christopher J Schultz2, George D Wilson7, Catharine M L West8, Jacek Capala9, C Norman Coleman9, Javier F Torres-Roca10, Joanne Weidhaas11, Felix Y Feng12.   

Abstract

PURPOSE: To summarize important talking points from a 2016 symposium focusing on real-world challenges to advancing precision medicine in radiation oncology, and to help radiation oncologists navigate the practical challenges of precision, radiation oncology. METHODS AND MATERIALS: The American Society for Radiation Oncology, American Association of Physicists in Medicine, and National Cancer Institute cosponsored a meeting on precision medicine in radiation oncology. In June 2016 numerous scientists, clinicians, and physicists convened at the National Institutes of Health to discuss challenges and future directions toward personalized radiation therapy. Various breakout sessions were held to discuss particular components and approaches to the implementation of personalized radiation oncology. This article summarizes the genomically guided radiation therapy breakout session.
RESULTS: A summary of existing genomic data enabling personalized radiation therapy, ongoing clinical trials, current challenges, and future directions was collected. The group attempted to provide both a current overview of data that radiation oncologists could use to personalize therapy, along with data that are anticipated in the coming years. It seems apparent from the provided review that a considerable opportunity exists to truly bring genomically guided radiation therapy into clinical reality.
CONCLUSIONS: Genomically guided radiation therapy is a necessity that must be embraced in the coming years. Incorporating these data into treatment recommendations will provide radiation oncologists with a substantial opportunity to improve outcomes for numerous cancer patients. More research focused on this topic is needed to bring genomic signatures into routine standard of care. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2017        PMID: 28964588     DOI: 10.1016/j.ijrobp.2017.05.044

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  21 in total

1.  Assessing the Training and Research Environment for Genomics, Bioinformatics, and Immunology in Radiation Oncology.

Authors:  Kent W Mouw; Tyler F Beck; Judith C Keen; Adam P Dicker
Journal:  JCO Clin Cancer Inform       Date:  2018-12

2.  Integrative Molecular Characterization of Resistance to Neoadjuvant Chemoradiation in Rectal Cancer.

Authors:  Theodore S Hong; Eliezer M Van Allen; Sophia C Kamran; Jochen K Lennerz; Claire A Margolis; David Liu; Brendan Reardon; Stephanie A Wankowicz; Emily E Van Seventer; Adam Tracy; Jennifer Y Wo; Scott L Carter; Henning Willers; Ryan B Corcoran
Journal:  Clin Cancer Res       Date:  2019-06-28       Impact factor: 12.531

3.  Tumor Heterogeneity Research and Innovation in Biologically Based Radiation Therapy From the National Cancer Institute Radiation Research Program Portfolio.

Authors:  Jeffrey C Buchsbaum; Michael G Espey; Ceferino Obcemea; Jacek Capala; Mansoor Ahmed; Pataje G Prasanna; Bhadrasain Vikram; Julie A Hong; Beverly Teicher; Molykutty J Aryankalayil; Michelle A Bylicky; C Norman Coleman
Journal:  J Clin Oncol       Date:  2022-03-04       Impact factor: 50.717

4.  Outcomes After Breast Radiation Therapy in a Diverse Patient Cohort With a Germline BRCA1/2 Mutation.

Authors:  Bhavana V Chapman; Diane Liu; Yu Shen; Oluwafikayo O Olamigoke; David S Lakomy; Angelica M Gutierrez Barrera; Shane R Stecklein; Gabriel O Sawakuchi; Scott J Bright; Isabelle Bedrosian; Jennifer K Litton; Benjamin D Smith; Wendy A Woodward; George H Perkins; Karen E Hoffman; Michael C Stauder; Eric A Strom; Banu K Arun; Simona F Shaitelman
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-10-03       Impact factor: 8.013

5.  An open invitation to join the Pediatric Proton/Photon Consortium Registry to standardize data collection in pediatric radiation oncology.

Authors:  Miranda P Lawell; Daniel J Indelicato; Arnold C Paulino; William Hartsell; Nadia N Laack; Ralph P Ermoian; John P Perentesis; Ralph Vatner; Stephanie Perkins; Victor S Mangona; Christine E Hill-Kayser; Suzanne L Wolden; Young Kwok; John Han-Chih Chang; J Ben Wilkinson; Iain MacEwan; Andrew L Chang; Bree R Eaton; Matthew M Ladra; Sara L Gallotto; Elizabeth A Weyman; Benjamin V M Bajaj; Sujith Baliga; Beow Y Yeap; Amy Berrington de Gonzalez; Torunn I Yock
Journal:  Br J Radiol       Date:  2019-11-01       Impact factor: 3.039

Review 6.  Genomics models in radiotherapy: From mechanistic to machine learning.

Authors:  John Kang; James T Coates; Robert L Strawderman; Barry S Rosenstein; Sarah L Kerns
Journal:  Med Phys       Date:  2020-06       Impact factor: 4.071

7.  Biological characterization of a novel in vitro cell irradiator.

Authors:  Tyler L Fowler; Michael M Fisher; Alison M Bailey; Bryan P Bednarz; Randall J Kimple
Journal:  PLoS One       Date:  2017-12-12       Impact factor: 3.240

Review 8.  Machine Learning and Radiogenomics: Lessons Learned and Future Directions.

Authors:  John Kang; Tiziana Rancati; Sangkyu Lee; Jung Hun Oh; Sarah L Kerns; Jacob G Scott; Russell Schwartz; Seyoung Kim; Barry S Rosenstein
Journal:  Front Oncol       Date:  2018-06-21       Impact factor: 6.244

9.  Mutational analysis of uterine cervical cancer that survived multiple rounds of radiotherapy.

Authors:  Endang Nuryadi; Yasushi Sasaki; Yoshihiko Hagiwara; Tiara Bunga Mayang Permata; Hiro Sato; Shuichiro Komatsu; Yuya Yoshimoto; Kazutoshi Murata; Ken Ando; Nobuteru Kubo; Noriyuki Okonogi; Yosuke Takakusagi; Akiko Adachi; Mototaro Iwanaga; Keisuke Tsuchida; Tomoaki Tamaki; Shin-Ei Noda; Yuka Hirota; Atsushi Shibata; Tatsuya Ohno; Takashi Tokino; Takahiro Oike; Takashi Nakano
Journal:  Oncotarget       Date:  2018-08-24

10.  Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer.

Authors:  Sean D McGarry; Sarah L Hurrell; Kenneth A Iczkowski; William Hall; Amy L Kaczmarowski; Anjishnu Banerjee; Tucker Keuter; Kenneth Jacobsohn; John D Bukowy; Marja T Nevalainen; Mark D Hohenwalter; William A See; Peter S LaViolette
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-04-24       Impact factor: 8.013

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