Literature DB >> 30050094

Clinical potential of circulating tumour DNA in patients receiving anticancer immunotherapy.

Luc Cabel1,2,3, Charlotte Proudhon3, Emanuela Romano1,4, Nicolas Girard1, Olivier Lantz4, Marc-Henri Stern5, Jean-Yves Pierga1,6, François-Clément Bidard7,8,9.   

Abstract

Considerable interest surrounds the use of immune-checkpoint inhibitors in patients with solid tumours following the demonstration of the impressive clinical efficacy of anti-programmed cell death protein 1 and anti-programmed cell death 1 ligand 1 antibodies in several tumour types. However, the emergence of unexpected tumour response patterns, such as pseudoprogression or hyperprogression, might complicate the management of patients receiving these agents. Analysis of circulating tumour DNA (ctDNA) has been shown to have prognostic value by enabling the detection of residual proliferating disease in the adjuvant setting and estimation of tumour burden in the metastatic setting, which are key stratification biomarkers for use of immune-checkpoint inhibition (ICI). Furthermore, examinations of ctDNA for genetic predictors of responsiveness to immunotherapy, such as mutations, tumour mutational load, and microsatellite instability provide a noninvasive surrogate for tumour biopsy sampling. Proof-of-concept reports have also demonstrated that quantitative changes in ctDNA levels early in the course of disease are a promising tool for the assessment of responsiveness to ICI that might complement standard imaging approaches. Other applications of this technology are also currently under investigation, such as early detection of resistance to immunotherapy and characterization of mechanisms of resistance. The aim of this Review is to summarize available data on the application of ctDNA in patients receiving immunotherapy and to discuss the most promising future directions.

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Year:  2018        PMID: 30050094     DOI: 10.1038/s41571-018-0074-3

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  56 in total

1.  SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.

Authors:  Siwen Hu-Lieskovan; Srabani Bhaumik; Kavita Dhodapkar; Jean-Charles J B Grivel; Sumati Gupta; Brent A Hanks; Sylvia Janetzki; Thomas O Kleen; Yoshinobu Koguchi; Amanda W Lund; Cristina Maccalli; Yolanda D Mahnke; Ruslan D Novosiadly; Senthamil R Selvan; Tasha Sims; Yingdong Zhao; Holden T Maecker
Journal:  J Immunother Cancer       Date:  2020-12       Impact factor: 13.751

2.  Patterns of progression in patients treated for immuno-oncology antibodies combination.

Authors:  Alice Bernard-Tessier; Capucine Baldini; Eduardo Castanon; Patricia Martin; Stéphane Champiat; Antoine Hollebecque; Sophie Postel-Vinay; Andreea Varga; Rastilav Bahleda; Anas Gazzah; Jean-Marie Michot; Vincent Ribrag; Jean-Pierre Armand; Aurélien Marabelle; Jean-Charles Soria; Christophe Massard; Samy Ammari
Journal:  Cancer Immunol Immunother       Date:  2020-07-22       Impact factor: 6.968

Review 3.  Circulating biomarkers predictive of tumor response to cancer immunotherapy.

Authors:  Ernest Y Lee; Rajan P Kulkarni
Journal:  Expert Rev Mol Diagn       Date:  2019-09-10       Impact factor: 5.225

Review 4.  Liquid biopsy enters the clinic - implementation issues and future challenges.

Authors:  Michail Ignatiadis; George W Sledge; Stefanie S Jeffrey
Journal:  Nat Rev Clin Oncol       Date:  2021-01-20       Impact factor: 66.675

Review 5.  How to differentiate pseudoprogression from true progression in cancer patients treated with immunotherapy.

Authors:  Yiming Ma; Qiwei Wang; Qian Dong; Lei Zhan; Jingdong Zhang
Journal:  Am J Cancer Res       Date:  2019-08-01       Impact factor: 6.166

6.  Circulating Tumor DNA Analysis to Assess Risk of Progression after Long-term Response to PD-(L)1 Blockade in NSCLC.

Authors:  Matthew D Hellmann; Barzin Y Nabet; Hira Rizvi; Aadel A Chaudhuri; Daniel K Wells; Mark P S Dunphy; Jacob J Chabon; Chih Long Liu; Angela B Hui; Kathryn C Arbour; Jia Luo; Isabel R Preeshagul; Everett J Moding; Diego Almanza; Rene F Bonilla; Jennifer L Sauter; Hyejin Choi; Megan Tenet; Mohsen Abu-Akeel; Andrew J Plodkowski; Rocio Perez Johnston; Christopher H Yoo; Ryan B Ko; Henning Stehr; Linda Gojenola; Heather A Wakelee; Sukhmani K Padda; Joel W Neal; Jamie E Chaft; Mark G Kris; Charles M Rudin; Taha Merghoub; Bob T Li; Ash A Alizadeh; Maximilian Diehn
Journal:  Clin Cancer Res       Date:  2020-02-11       Impact factor: 12.531

Review 7.  Detection of Gene Mutations in Liquid Biopsy of Melanoma Patients: Overview and Future Perspectives.

Authors:  Nasr Alrabadi; Razan Haddad; Ahmed K Alomari
Journal:  Curr Treat Options Oncol       Date:  2020-02-11

Review 8.  Unravelling tumour heterogeneity by single-cell profiling of circulating tumour cells.

Authors:  Laura Keller; Klaus Pantel
Journal:  Nat Rev Cancer       Date:  2019-08-27       Impact factor: 60.716

9.  Enhanced-ice-COLD-PCR for the Sensitive Detection of Rare DNA Methylation Patterns in Liquid Biopsies.

Authors:  Florence Mauger; Jörg Tost
Journal:  Bio Protoc       Date:  2019-12-05

10.  Cell-free DNA copy number variations predict efficacy of immune checkpoint inhibitor-based therapy in hepatobiliary cancers.

Authors:  Xu Yang; Ying Hu; Keyan Yang; Dongxu Wang; Jianzhen Lin; Junyu Long; Fucun Xie; Jinzhu Mao; Jin Bian; Mei Guan; Jie Pan; Li Huo; Ke Hu; Xiaobo Yang; Yilei Mao; Xinting Sang; Jiao Zhang; Xi Wang; Henghui Zhang; Haitao Zhao
Journal:  J Immunother Cancer       Date:  2021-05       Impact factor: 13.751

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