Literature DB >> 30838379

Prediction and monitoring of relapse in stage III melanoma using circulating tumor DNA.

L Tan1, S Sandhu1, R J Lee2, J Li1, J Callahan3, S Ftouni3, N Dhomen4, P Middlehurst4, A Wallace5, J Raleigh3, A Hatzimihalis3, M A Henderson1, M Shackleton6, A Haydon6, V Mar6, D E Gyorki7, D Oudit8, M A Dawson9, R J Hicks1, P Lorigan8, G A McArthur1, R Marais2, S Q Wong3, S-J Dawson10.   

Abstract

BACKGROUND: The advent of effective adjuvant therapies for patients with resected melanoma has highlighted the need to stratify patients based on risk of relapse given the cost and toxicities associated with treatment. Here we assessed circulating tumor DNA (ctDNA) to predict and monitor relapse in resected stage III melanoma. PATIENTS AND METHODS: Somatic mutations were identified in 99/133 (74%) patients through tumor tissue sequencing. Personalized droplet digital PCR (ddPCR) assays were used to detect known mutations in 315 prospectively collected plasma samples from mutation-positive patients. External validation was performed in a prospective independent cohort (n = 29).
RESULTS: ctDNA was detected in 37 of 99 (37%) individuals. In 81 patients who did not receive adjuvant therapy, 90% of patients with ctDNA detected at baseline and 100% of patients with ctDNA detected at the postoperative timepoint relapsed at a median follow up of 20 months. ctDNA detection predicted patients at high risk of relapse at baseline [relapse-free survival (RFS) hazard ratio (HR) 2.9; 95% confidence interval (CI) 1.5-5.6; P = 0.002] and postoperatively (HR 10; 95% CI 4.3-24; P < 0.001). ctDNA detection at baseline [HR 2.9; 95% CI 1.3-5.7; P = 0.003 and postoperatively (HR 11; 95% CI 4.3-27; P < 0.001] was also associated with inferior distant metastasis-free survival (DMFS). These findings were validated in the independent cohort. ctDNA detection remained an independent predictor of RFS and DMFS in multivariate analyses after adjustment for disease stage and BRAF mutation status.
CONCLUSION: Baseline and postoperative ctDNA detection in two independent prospective cohorts identified stage III melanoma patients at highest risk of relapse and has potential to inform adjuvant therapy decisions.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  adjuvant therapy; circulating tumor DNA; melanoma

Mesh:

Substances:

Year:  2019        PMID: 30838379      PMCID: PMC6551451          DOI: 10.1093/annonc/mdz048

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  31 in total

1.  Isolation and Quantification of Plasma Circulating Tumor DNA from Melanoma Patients.

Authors:  Gabriela Marsavela; Anna Reid; Elin S Gray; Leslie Calapre
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Circulating tumor DNA and liquid biopsy in oncology.

Authors:  David W Cescon; Scott V Bratman; Steven M Chan; Lillian L Siu
Journal:  Nat Cancer       Date:  2020-03-20

Review 3.  Current and Emerging Applications of Droplet Digital PCR in Oncology: An Updated Review.

Authors:  Susana Olmedillas-López; Rocío Olivera-Salazar; Mariano García-Arranz; Damián García-Olmo
Journal:  Mol Diagn Ther       Date:  2021-11-13       Impact factor: 4.074

4.  Potential Clinical Utility of a Targeted Circulating Tumor DNA Assay in Esophageal Adenocarcinoma.

Authors:  Carlos S Cabalag; Michael Yates; Mariana Benitez Corrales; Paul Yeh; Stephen Q Wong; Bonnie Z Zhang; Kenji M Fujihara; Lynn Chong; Michael W Hii; Sarah-Jane Dawson; Wayne A Phillips; Cuong P Duong; Nicholas J Clemons
Journal:  Ann Surg       Date:  2021-08-20       Impact factor: 13.787

Review 5.  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 6.  Immunotherapy discontinuation - how, and when? Data from melanoma as a paradigm.

Authors:  Caroline Robert; Aurelien Marabelle; Hugo Herrscher; Caroline Caramella; Pascal Rouby; Karim Fizazi; Benjamin Besse
Journal:  Nat Rev Clin Oncol       Date:  2020-07-07       Impact factor: 66.675

Review 7.  Prognostic and Predictive Biomarkers in Stage III Melanoma: Current Insights and Clinical Implications.

Authors:  Luca Tonella; Valentina Pala; Renata Ponti; Marco Rubatto; Giuseppe Gallo; Luca Mastorino; Gianluca Avallone; Martina Merli; Andrea Agostini; Paolo Fava; Luca Bertero; Rebecca Senetta; Simona Osella-Abate; Simone Ribero; Maria Teresa Fierro; Pietro Quaglino
Journal:  Int J Mol Sci       Date:  2021-04-27       Impact factor: 5.923

8.  Prognostic Value of ctDNA Mutation in Melanoma: A Meta-Analysis.

Authors:  Yang Zheng; Hongyan Sun; Lele Cong; Chenlu Liu; Qian Sun; Nan Wu; Xianling Cong
Journal:  J Oncol       Date:  2021-05-04       Impact factor: 4.375

Review 9.  Impact of Circulating and Tissue Biomarkers in Adjuvant and Neoadjuvant Therapy for High-Risk Melanoma: Ready for Prime Time?

Authors:  Alice Indini; Fausto Roila; Francesco Grossi; Daniela Massi; Mario Mandalà
Journal:  Am J Clin Dermatol       Date:  2021-05-25       Impact factor: 7.403

10.  Prognostic significance of postsurgery circulating tumor DNA in nonmetastatic colorectal cancer: Individual patient pooled analysis of three cohort studies.

Authors:  Jeanne Tie; Joshua D Cohen; Serigne N Lo; Yuxuan Wang; Lu Li; Michael Christie; Margaret Lee; Rachel Wong; Suzanne Kosmider; Iain Skinner; Hui Li Wong; Belinda Lee; Matthew E Burge; Desmond Yip; Christos S Karapetis; Timothy J Price; Niall C Tebbutt; Andrew M Haydon; Janine Ptak; Mary J Schaeffer; Natalie Silliman; Lisa Dobbyn; Maria Popoli; Cristian Tomasetti; Nickolas Papadopoulos; Kenneth W Kinzler; Bert Vogelstein; Peter Gibbs
Journal:  Int J Cancer       Date:  2020-10-06       Impact factor: 7.396

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