Discovery of methylated circulating DNA biomarkers for comprehensive non-invasive monitoring of treatment response in metastatic colorectal cancer

ObjectiveMutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires personalised assay design due to the lack of universally mutated genes. In contrast, early methylation alterations are restricted to defined genom...

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Vydáno v:Gut Ročník 67; číslo 11; s. 1995 - 2005
Hlavní autoři: Barault, Ludovic, Amatu, Alessio, Siravegna, Giulia, Ponzetti, Agostino, Moran, Sebastian, Cassingena, Andrea, Mussolin, Benedetta, Falcomatà, Chiara, Binder, Alexandra M, Cristiano, Carmen, Oddo, Daniele, Guarrera, Simonetta, Cancelliere, Carlotta, Bustreo, Sara, Bencardino, Katia, Maden, Sean, Vanzati, Alice, Zavattari, Patrizia, Matullo, Giuseppe, Truini, Mauro, Grady, William M, Racca, Patrizia, Michels, Karin B, Siena, Salvatore, Esteller, Manel, Bardelli, Alberto, Sartore-Bianchi, Andrea, Di Nicolantonio, Federica
Médium: Journal Article
Jazyk:angličtina
Vydáno: England BMJ Publishing Group LTD 01.11.2018
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ISSN:0017-5749, 1468-3288, 1468-3288
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Abstract ObjectiveMutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires personalised assay design due to the lack of universally mutated genes. In contrast, early methylation alterations are restricted to defined genomic loci allowing comprehensive assay design for population studies. Our objective was to identify cancer-specific methylated biomarkers which could be measured longitudinally in cfDNA (liquid biopsy) to monitor therapeutic outcome in patients with metastatic CRC (mCRC).DesignGenome-wide methylation microarrays of CRC cell lines (n=149) identified five cancer-specific methylated loci (EYA4, GRIA4, ITGA4, MAP3K14-AS1, MSC). Digital PCR assays were employed to measure methylation of these genes in tumour tissue DNA (n=82) and cfDNA from patients with mCRC (n=182). Plasma longitudinal assessment was performed in a patient subset treated with chemotherapy or targeted therapy.ResultsMethylation in at least one marker was detected in all tumour tissue samples and in 156 mCRC patient cfDNA samples (85.7%). Plasma marker prevalence was 71.4% for EYA4, 68.5% for GRIA4, 69.7% for ITGA4, 69.1% for MAP3K14-AS1% and 65.1% for MSC. Dynamics of methylation markers was not affected by treatment type and correlated with objective tumour response and progression-free survival.ConclusionThis five-gene methylation panel can be used to circumvent the absence of patient-specific mutations for monitoring tumour burden dynamics in liquid biopsy under different therapeutic regimens. This method might be proposed for assessing pharmacodynamics in clinical trials or when conventional imaging has limitations.
AbstractList ObjectiveMutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires personalised assay design due to the lack of universally mutated genes. In contrast, early methylation alterations are restricted to defined genomic loci allowing comprehensive assay design for population studies. Our objective was to identify cancer-specific methylated biomarkers which could be measured longitudinally in cfDNA (liquid biopsy) to monitor therapeutic outcome in patients with metastatic CRC (mCRC).DesignGenome-wide methylation microarrays of CRC cell lines (n=149) identified five cancer-specific methylated loci (EYA4, GRIA4, ITGA4, MAP3K14-AS1, MSC). Digital PCR assays were employed to measure methylation of these genes in tumour tissue DNA (n=82) and cfDNA from patients with mCRC (n=182). Plasma longitudinal assessment was performed in a patient subset treated with chemotherapy or targeted therapy.ResultsMethylation in at least one marker was detected in all tumour tissue samples and in 156 mCRC patient cfDNA samples (85.7%). Plasma marker prevalence was 71.4% for EYA4, 68.5% for GRIA4, 69.7% for ITGA4, 69.1% for MAP3K14-AS1% and 65.1% for MSC. Dynamics of methylation markers was not affected by treatment type and correlated with objective tumour response and progression-free survival.ConclusionThis five-gene methylation panel can be used to circumvent the absence of patient-specific mutations for monitoring tumour burden dynamics in liquid biopsy under different therapeutic regimens. This method might be proposed for assessing pharmacodynamics in clinical trials or when conventional imaging has limitations.
Mutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires personalised assay design due to the lack of universally mutated genes. In contrast, early methylation alterations are restricted to defined genomic loci allowing comprehensive assay design for population studies. Our objective was to identify cancer-specific methylated biomarkers which could be measured longitudinally in cfDNA (liquid biopsy) to monitor therapeutic outcome in patients with metastatic CRC (mCRC). Genome-wide methylation microarrays of CRC cell lines (n=149) identified five cancer-specific methylated loci ( , , , ). Digital PCR assays were employed to measure methylation of these genes in tumour tissue DNA (n=82) and cfDNA from patients with mCRC (n=182). Plasma longitudinal assessment was performed in a patient subset treated with chemotherapy or targeted therapy. Methylation in at least one marker was detected in all tumour tissue samples and in 156 mCRC patient cfDNA samples (85.7%). Plasma marker prevalence was 71.4% for , 68.5% for , 69.7% for , 69.1% for and 65.1% for . Dynamics of methylation markers was not affected by treatment type and correlated with objective tumour response and progression-free survival. This five-gene methylation panel can be used to circumvent the absence of patient-specific mutations for monitoring tumour burden dynamics in liquid biopsy under different therapeutic regimens. This method might be proposed for assessing pharmacodynamics in clinical trials or when conventional imaging has limitations.
Mutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires personalised assay design due to the lack of universally mutated genes. In contrast, early methylation alterations are restricted to defined genomic loci allowing comprehensive assay design for population studies. Our objective was to identify cancer-specific methylated biomarkers which could be measured longitudinally in cfDNA (liquid biopsy) to monitor therapeutic outcome in patients with metastatic CRC (mCRC).OBJECTIVEMutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires personalised assay design due to the lack of universally mutated genes. In contrast, early methylation alterations are restricted to defined genomic loci allowing comprehensive assay design for population studies. Our objective was to identify cancer-specific methylated biomarkers which could be measured longitudinally in cfDNA (liquid biopsy) to monitor therapeutic outcome in patients with metastatic CRC (mCRC).Genome-wide methylation microarrays of CRC cell lines (n=149) identified five cancer-specific methylated loci (EYA4, GRIA4, ITGA4, MAP3K14-AS1, MSC). Digital PCR assays were employed to measure methylation of these genes in tumour tissue DNA (n=82) and cfDNA from patients with mCRC (n=182). Plasma longitudinal assessment was performed in a patient subset treated with chemotherapy or targeted therapy.DESIGNGenome-wide methylation microarrays of CRC cell lines (n=149) identified five cancer-specific methylated loci (EYA4, GRIA4, ITGA4, MAP3K14-AS1, MSC). Digital PCR assays were employed to measure methylation of these genes in tumour tissue DNA (n=82) and cfDNA from patients with mCRC (n=182). Plasma longitudinal assessment was performed in a patient subset treated with chemotherapy or targeted therapy.Methylation in at least one marker was detected in all tumour tissue samples and in 156 mCRC patient cfDNA samples (85.7%). Plasma marker prevalence was 71.4% for EYA4, 68.5% for GRIA4, 69.7% for ITGA4, 69.1% for MAP3K14-AS1% and 65.1% for MSC. Dynamics of methylation markers was not affected by treatment type and correlated with objective tumour response and progression-free survival.RESULTSMethylation in at least one marker was detected in all tumour tissue samples and in 156 mCRC patient cfDNA samples (85.7%). Plasma marker prevalence was 71.4% for EYA4, 68.5% for GRIA4, 69.7% for ITGA4, 69.1% for MAP3K14-AS1% and 65.1% for MSC. Dynamics of methylation markers was not affected by treatment type and correlated with objective tumour response and progression-free survival.This five-gene methylation panel can be used to circumvent the absence of patient-specific mutations for monitoring tumour burden dynamics in liquid biopsy under different therapeutic regimens. This method might be proposed for assessing pharmacodynamics in clinical trials or when conventional imaging has limitations.CONCLUSIONThis five-gene methylation panel can be used to circumvent the absence of patient-specific mutations for monitoring tumour burden dynamics in liquid biopsy under different therapeutic regimens. This method might be proposed for assessing pharmacodynamics in clinical trials or when conventional imaging has limitations.
Author Michels, Karin B
Cassingena, Andrea
Oddo, Daniele
Bustreo, Sara
Matullo, Giuseppe
Cristiano, Carmen
Esteller, Manel
Di Nicolantonio, Federica
Sartore-Bianchi, Andrea
Bencardino, Katia
Falcomatà, Chiara
Racca, Patrizia
Zavattari, Patrizia
Barault, Ludovic
Grady, William M
Truini, Mauro
Siravegna, Giulia
Guarrera, Simonetta
Moran, Sebastian
Siena, Salvatore
Maden, Sean
Bardelli, Alberto
Vanzati, Alice
Ponzetti, Agostino
Binder, Alexandra M
Amatu, Alessio
Mussolin, Benedetta
Cancelliere, Carlotta
AuthorAffiliation 12 Department of Physiological Sciences II, School of Medicine, University of Barcelona, Barcelona, Catalonia, Spain
6 Cancer Epigenetics and Biology Program, Bellvitge Biomedical Research Institute, L’Hospitalet, Barcelona, Catalonia, Spain
2 Candiolo Cancer Institute-FPO, IRCCS, SP 142 km 3.95, 10060 Candiolo (TO), Italy
4 FIRC Institute of Molecular Oncology (IFOM), Milano, Italy
3 Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy
10 Department of Medicine, University of Washington School of Medicine, Seattle, WA
1 Department of Oncology, University of Torino, SP 142 km 3.95, 10060 Candiolo (TO), Italy
9 Unit of Biology and Genetics, Dept. Biomedical Sciences, University of Cagliari, Italy
5 Colorectal Cancer Unit, Medical Oncology Division 1, AOU Città della Salute e della Scienza, San Giovanni Battista Hospital, Turin, Italy
8 Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
7 Department of Epidemiology, Fielding School of Public Hea
AuthorAffiliation_xml – name: 2 Candiolo Cancer Institute-FPO, IRCCS, SP 142 km 3.95, 10060 Candiolo (TO), Italy
– name: 7 Department of Epidemiology, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, USA
– name: 5 Colorectal Cancer Unit, Medical Oncology Division 1, AOU Città della Salute e della Scienza, San Giovanni Battista Hospital, Turin, Italy
– name: 13 Institucio Catalana de Recerca i Estudis Avançats, Barcelona, Catalonia, Spain
– name: 4 FIRC Institute of Molecular Oncology (IFOM), Milano, Italy
– name: 9 Unit of Biology and Genetics, Dept. Biomedical Sciences, University of Cagliari, Italy
– name: 6 Cancer Epigenetics and Biology Program, Bellvitge Biomedical Research Institute, L’Hospitalet, Barcelona, Catalonia, Spain
– name: 8 Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA
– name: 1 Department of Oncology, University of Torino, SP 142 km 3.95, 10060 Candiolo (TO), Italy
– name: 3 Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy
– name: 10 Department of Medicine, University of Washington School of Medicine, Seattle, WA
– name: 12 Department of Physiological Sciences II, School of Medicine, University of Barcelona, Barcelona, Catalonia, Spain
– name: 11 Università degli Studi di Milano, Milan, Italy
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  organization: Candiolo Cancer Institute-FPO, IRCCS, Candiolo, Italy
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  givenname: Sebastian
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  surname: Cassingena
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  organization: Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan, Italy
– sequence: 7
  givenname: Benedetta
  surname: Mussolin
  fullname: Mussolin, Benedetta
  email: ludovic.barault@unito.it, federica.dinicolantonio@unito.it
  organization: Candiolo Cancer Institute-FPO, IRCCS, Candiolo, Italy
– sequence: 8
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  email: ludovic.barault@unito.it, federica.dinicolantonio@unito.it
  organization: Candiolo Cancer Institute-FPO, IRCCS, Candiolo, Italy
– sequence: 9
  givenname: Alexandra M
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  organization: Department of Medical Sciences, Italian Institute for Genomic Medicine – IIGM/HuGeF, University of Torino, Torino, Italy
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– sequence: 14
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  email: ludovic.barault@unito.it, federica.dinicolantonio@unito.it
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  organization: Colorectal Cancer Unit, Medical Oncology Division , AOU Città della Salute e della Scienza, San Giovanni Battista Hospital, Turin, Italy
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  email: ludovic.barault@unito.it, federica.dinicolantonio@unito.it
  organization: Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA
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  fullname: Siena, Salvatore
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– sequence: 25
  givenname: Manel
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  surname: Di Nicolantonio
  fullname: Di Nicolantonio, Federica
  email: ludovic.barault@unito.it, federica.dinicolantonio@unito.it
  organization: Candiolo Cancer Institute-FPO, IRCCS, Candiolo, Italy
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28982739$$D View this record in MEDLINE/PubMed
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Issue 11
Keywords screening
tumour markers
colorectal cancer
chemotherapy
methylation
Language English
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SSID ssj0008891
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Snippet ObjectiveMutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires...
Mutations in cell-free circulating DNA (cfDNA) have been studied for tracking disease relapse in colorectal cancer (CRC). This approach requires personalised...
SourceID pubmedcentral
proquest
pubmed
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bmj
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1995
SubjectTerms Adult
Aged
Antineoplastic Agents - therapeutic use
Biomarkers
Biomarkers, Tumor - blood
Biomarkers, Tumor - genetics
Biopsy
Cell Line, Tumor
Cell-Free Nucleic Acids - drug effects
Cell-Free Nucleic Acids - genetics
Cell-Free Nucleic Acids - metabolism
Chemotherapy
Clinical trials
Colorectal cancer
Colorectal carcinoma
Colorectal Neoplasms - drug therapy
Colorectal Neoplasms - genetics
Colorectal Neoplasms - metabolism
Datasets
Deoxyribonucleic acid
DNA
DNA methylation
DNA Methylation - genetics
DNA microarrays
Drug Monitoring - methods
Epigenetics
Female
Gene expression
Genomes
Humans
Longitudinal Studies
Male
Metastases
Metastasis
Middle Aged
Mutation
Oligonucleotide Array Sequence Analysis - methods
Patients
Pharmacodynamics
Polymerase Chain Reaction
Population studies
Studies
Treatment Outcome
Tumors
Title Discovery of methylated circulating DNA biomarkers for comprehensive non-invasive monitoring of treatment response in metastatic colorectal cancer
URI https://gut.bmj.com/content/67/11/1995.full
https://www.ncbi.nlm.nih.gov/pubmed/28982739
https://www.proquest.com/docview/2117303899
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https://pubmed.ncbi.nlm.nih.gov/PMC5897187
Volume 67
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