Literature DB >> 34114913

Radiogenomic Analysis of Locally Advanced Lung Cancer Based on CT Imaging and Intratreatment Changes in Cell-Free DNA.

Kyle J Lafata1, Michael N Corradetti1, Junheng Gao1, Corbin D Jacobs1, Jingxi Weng1, Yushi Chang1, Chunhao Wang1, Ace Hatch1, Eric Xanthopoulos1, Greg Jones1, Chris R Kelsey1, Fang-Fang Yin1.   

Abstract

The radiologic appearance of locally advanced lung cancer may be linked to molecular changes of the disease during treatment, but characteristics of this phenomenon are poorly understood. Radiomics, liquid biopsy of cell-free DNA (cfDNA), and next-generation sequencing of circulating tumor DNA (ctDNA) encode tumor-specific radiogenomic expression patterns that can be probed to study this problem. Preliminary findings are reported from a radiogenomic analysis of CT imaging, cfDNA, and ctDNA in 24 patients (median age, 64 years; range, 49-74 years) with stage III lung cancer undergoing chemoradiation on a prospective pilot study (NCT00921739) between September 2009 and September 2014. Unsupervised clustering of radiomic signatures resulted in two clusters that were associated with ctDNA TP53 mutations (P = .03) and changes in cfDNA concentration after 2 weeks of chemoradiation (P = .02). The radiomic features dissimilarity (hazard ratio [HR] = 0.56; P = .05), joint entropy (HR = 0.56; P = .04), sum entropy (HR = 0.53; P = .02), and normalized inverse difference (HR = 1.77; P = .05) were associated with overall survival. These results suggest heterogeneous and low-attenuating disease without a detectable ctDNA TP53 mutation was associated with early surges of cfDNA concentration in response to therapy and a generally better prognosis. Keywords: CT-Quantitative, Radiation Therapy, Lung, Computer Applications-3D, Oncology, Tumor Response, Outcomes Analysis Clinical trial registration no. NCT00921739 Supplemental material is available for this article. © RSNA, 2021.

Entities:  

Keywords:  CT-Quantitative; Computer Applications-3D; Lung; Oncology; Outcomes Analysis; Radiation Therapy; Tumor Response

Year:  2021        PMID: 34114913      PMCID: PMC8344351          DOI: 10.1148/rycan.2021200157

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  18 in total

1.  Noninvasive identification and monitoring of cancer mutations by targeted deep sequencing of plasma DNA.

Authors:  Tim Forshew; Muhammed Murtaza; Christine Parkinson; Davina Gale; Dana W Y Tsui; Fiona Kaper; Sarah-Jane Dawson; Anna M Piskorz; Mercedes Jimenez-Linan; David Bentley; James Hadfield; Andrew P May; Carlos Caldas; James D Brenton; Nitzan Rosenfeld
Journal:  Sci Transl Med       Date:  2012-05-30       Impact factor: 17.956

2.  Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxes.

Authors:  Yushi Chang; Kyle Lafata; Chunhao Wang; Xiaoyu Duan; Ruiqi Geng; Zhenyu Yang; Fang-Fang Yin
Journal:  Biomed Phys Eng Express       Date:  2020-03-02

3.  Cancer statistics, 2020.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2020-01-08       Impact factor: 508.702

4.  Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy.

Authors:  Kyle J Lafata; Julian C Hong; Ruiqi Geng; Bradley G Ackerson; Jian-Guo Liu; Zhennan Zhou; Jordan Torok; Chris R Kelsey; Fang-Fang Yin
Journal:  Phys Med Biol       Date:  2019-01-08       Impact factor: 3.609

5.  Standard-dose versus high-dose conformal radiotherapy with concurrent and consolidation carboplatin plus paclitaxel with or without cetuximab for patients with stage IIIA or IIIB non-small-cell lung cancer (RTOG 0617): a randomised, two-by-two factorial phase 3 study.

Authors:  Jeffrey D Bradley; Rebecca Paulus; Ritsuko Komaki; Gregory Masters; George Blumenschein; Steven Schild; Jeffrey Bogart; Chen Hu; Kenneth Forster; Anthony Magliocco; Vivek Kavadi; Yolanda I Garces; Samir Narayan; Puneeth Iyengar; Cliff Robinson; Raymond B Wynn; Christopher Koprowski; Joanne Meng; Jonathan Beitler; Rakesh Gaur; Walter Curran; Hak Choy
Journal:  Lancet Oncol       Date:  2015-01-16       Impact factor: 41.316

Review 6.  Predicting Radiotherapy Responses and Treatment Outcomes Through Analysis of Circulating Tumor DNA.

Authors:  Aadel A Chaudhuri; Michael S Binkley; Evan C Osmundson; Ash A Alizadeh; Maximilian Diehn
Journal:  Semin Radiat Oncol       Date:  2015-05-15       Impact factor: 5.934

7.  Development and Validation of a Predictive Radiomics Model for Clinical Outcomes in Stage I Non-small Cell Lung Cancer.

Authors:  Wen Yu; Chad Tang; Brian P Hobbs; Xiao Li; Eugene J Koay; Ignacio I Wistuba; Boris Sepesi; Carmen Behrens; Jaime Rodriguez Canales; Edwin Roger Parra Cuentas; Jeremy J Erasmus; Laurence E Court; Joe Y Chang
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-11-15       Impact factor: 7.038

8.  Phase 1 Dose Escalation Study of Accelerated Radiation Therapy With Concurrent Chemotherapy for Locally Advanced Lung Cancer.

Authors:  Chris R Kelsey; Shiva Das; Lin Gu; Frank R Dunphy; Neal E Ready; Lawrence B Marks
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-09-15       Impact factor: 7.038

9.  An ultrasensitive method for quantitating circulating tumor DNA with broad patient coverage.

Authors:  Aaron M Newman; Scott V Bratman; Jacqueline To; Jacob F Wynne; Neville C W Eclov; Leslie A Modlin; Chih Long Liu; Joel W Neal; Heather A Wakelee; Robert E Merritt; Joseph B Shrager; Billy W Loo; Ash A Alizadeh; Maximilian Diehn
Journal:  Nat Med       Date:  2014-04-06       Impact factor: 53.440

10.  Dynamic Changes in Circulating Tumor DNA During Chemoradiation for Locally Advanced Lung Cancer.

Authors:  Michael N Corradetti; Jordan A Torok; Ace J Hatch; Eric P Xanthopoulos; Kyle Lafata; Corbin Jacobs; Christel Rushing; John Calaway; Greg Jones; Chris R Kelsey; Andrew B Nixon
Journal:  Adv Radiat Oncol       Date:  2019-05-22
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  7 in total

Review 1.  What Genetics Can Do for Oncological Imaging: A Systematic Review of the Genetic Validation Data Used in Radiomics Studies.

Authors:  Rebeca Mirón Mombiela; Anne Rix Arildskov; Frederik Jager Bruun; Lotte Harries Hasselbalch; Kristine Bærentz Holst; Sine Hvid Rasmussen; Consuelo Borrás
Journal:  Int J Mol Sci       Date:  2022-06-10       Impact factor: 6.208

2.  Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.

Authors:  Hangjie Ji; Kyle Lafata; Yvonne Mowery; David Brizel; Andrea L Bertozzi; Fang-Fang Yin; Chunhao Wang
Journal:  Front Oncol       Date:  2022-05-13       Impact factor: 5.738

3.  Intrinsic radiomic expression patterns after 20 Gy demonstrate early metabolic response of oropharyngeal cancers.

Authors:  Kyle J Lafata; Yushi Chang; Chunhao Wang; Yvonne M Mowery; Irina Vergalasova; Donna Niedzwiecki; David S Yoo; Jian-Guo Liu; David M Brizel; Fang-Fang Yin
Journal:  Med Phys       Date:  2021-06-02       Impact factor: 4.506

Review 4.  Liquid Biopsies for Molecular Biology-Based Radiotherapy.

Authors:  Erik S Blomain; Everett J Moding
Journal:  Int J Mol Sci       Date:  2021-10-19       Impact factor: 5.923

5.  Photon Counting CT and Radiomic Analysis Enables Differentiation of Tumors Based on Lymphocyte Burden.

Authors:  Alex J Allphin; Yvonne M Mowery; Kyle J Lafata; Darin P Clark; Alex M Bassil; Rico Castillo; Diana Odhiambo; Matthew D Holbrook; Ketan B Ghaghada; Cristian T Badea
Journal:  Tomography       Date:  2022-03-10

6.  Identification of CT Imaging Phenotypes of Colorectal Liver Metastases from Radiomics Signatures-Towards Assessment of Interlesional Tumor Heterogeneity.

Authors:  Hishan Tharmaseelan; Alexander Hertel; Fabian Tollens; Johann Rink; Piotr Woźnicki; Verena Haselmann; Isabelle Ayx; Dominik Nörenberg; Stefan O Schoenberg; Matthias F Froelich
Journal:  Cancers (Basel)       Date:  2022-03-24       Impact factor: 6.639

7.  Application of Circulating Tumor Cells and Circulating Free DNA from Peripheral Blood in the Prognosis of Advanced Gastric Cancer.

Authors:  Pengjie Yu; Shengmao Zhu; Yushuang Luo; Ganggang Li; Yongqiang Pu; Baojia Cai; Chengwu Zhang
Journal:  J Oncol       Date:  2022-01-11       Impact factor: 4.375

  7 in total

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