Dataset Information

Longitudinal monitoring of cell-free DNA methylation in ALK-positive non-small cell lung cancer patients.

ABSTRACT:

Background

DNA methylation (5-mC) signals in cell-free DNA (cfDNA) of cancer patients represent promising biomarkers for minimally invasive tumor detection. The high abundance of cancer-associated 5-mC alterations permits parallel and highly sensitive assessment of multiple 5-mC biomarkers. Here, we performed genome-wide 5-mC profiling in the plasma of metastatic ALK-rearranged non-small cell lung cancer (NSCLC) patients receiving tyrosine kinase inhibitor therapy. We established a strategy to identify ALK-specific 5-mC changes from cfDNA and demonstrated the suitability of the identified markers for cancer detection, prognosis, and therapy monitoring.

Methods

Longitudinal plasma samples (n = 79) of 21 ALK-positive NSCLC patients and 13 healthy donors were collected alongside 15 ALK-positive tumor tissue and 10 healthy lung tissue specimens. All plasma and tissue samples were analyzed by cell-free DNA methylation immunoprecipitation sequencing to generate genome-wide 5-mC profiles. Information on genomic alterations (i.e., somatic mutations/fusions and copy number alterations) determined in matched plasma samples was available from previous studies.

Results

We devised a strategy that identified tumor-specific 5-mC biomarkers by reducing 5-mC background signals derived from hematopoietic cells. This was followed by differential methylation analysis (cases vs. controls) and biomarker validation using 5-mC profiles of ALK-positive tumor tissues. The resulting 245 differentially methylated regions were enriched for lung adenocarcinoma-specific 5-mC patterns in TCGA data and indicated transcriptional repression of several genes described to be silenced in NSCLC (e.g., PCDH10, TBX2, CDO1, and HOXA9). Additionally, 5-mC-based tumor DNA (5-mC score) was highly correlated with other genomic alterations in cell-free DNA (Spearman, ρ > 0.6), while samples with high 5-mC scores showed significantly shorter overall survival (log-rank p = 0.025). Longitudinal 5-mC scores reflected radiologic disease assessments and were significantly elevated at disease progression compared to the therapy start (p = 0.0023). In 7 out of 8 instances, rising 5-mC scores preceded imaging-based evaluation of disease progression.

Conclusion

We demonstrated a strategy to identify 5-mC biomarkers from the plasma of cancer patients and integrated them into a quantitative measure of cancer-associated 5-mC alterations. Using longitudinal plasma samples of ALK-positive NSCLC patients, we highlighted the suitability of cfDNA methylation for prognosis and therapy monitoring.

SUBMITTER: Janke F

PROVIDER: S-EPMC9719130 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Publications

Longitudinal monitoring of cell-free DNA methylation in ALK-positive non-small cell lung cancer patients.

Janke Florian F Angeles Arlou Kristina AK Riediger Anja Lisa AL Bauer Simone S Reck Martin M Stenzinger Albrecht A Schneider Marc A MA Muley Thomas T Thomas Michael M Christopoulos Petros P Sültmann Holger H

Clinical epigenetics 20221202 1

<h4>Background</h4>DNA methylation (5-mC) signals in cell-free DNA (cfDNA) of cancer patients represent promising biomarkers for minimally invasive tumor detection. The high abundance of cancer-associated 5-mC alterations permits parallel and highly sensitive assessment of multiple 5-mC biomarkers. Here, we performed genome-wide 5-mC profiling in the plasma of metastatic ALK-rearranged non-small cell lung cancer (NSCLC) patients receiving tyrosine kinase inhibitor therapy. We established a strat ...[more]

PMID: 36461127

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Project description:BackgroundTargeted therapies (TKI) have improved the prognosis of ALK-rearranged lung cancer (ALK+ NSCLC), but clinical courses vary widely. Early identification and molecular characterisation of treatment failure have key importance for subsequent therapies. We performed copy number variation (CNV) profiling and targeted panel sequencing from cell-free DNA (cfDNA) to monitor ALK+ NSCLC.Methods271 longitudinal plasma DNA samples from 73 patients with TKI-treated metastatic ALK+ NSCLC were analysed by capture-based targeted (average coverage 4,100x), and shallow whole genome sequencing (sWGS, 0.5x). Mutations were called using standard algorithms. CNVs were quantified using the trimmed median absolute deviation from copy number neutrality (t-MAD).FindingscfDNA mutations were identified in 58% of patients. They included several potentially actionable alterations, e.g. in the genes BRAF, ERBB2, and KIT. sWGS detected CNVs in 18% of samples, compared to 6% using targeted sequencing. Several of the CNVs included potentially druggable targets, such as regions harboring EGFR, ERBB2, and MET. Circulating tumour DNA (ctDNA) mutations and t-MAD scores increased during treatment, correlated with markers of higher molecular risk, such as the EML4-ALK variant 3 and/or TP53 mutations, and were associated with shorter patient survival. Importantly, t-MAD scores reflected the tumour remission status in serial samples similar to mutant ctDNA allele frequencies, and increased with disease progression in 79% (34/43) of cases, including those without detectable single nucleotide variant (SNV).InterpretationCombined copy number and targeted mutation profiling could improve monitoring of ALK+ NSCLC. Potential advantages include the identification of treatment failure, in particular for patients without detectable mutations, and broader detection of genomic changes acquired during therapy, especially in later treatment lines and in high-risk patients.FundingThis work was supported by the German Center for Lung Research (DZL), by the German Cancer Consortium (DKTK), by the Heidelberg Center for Personalized Oncology at the German Cancer Research Center (DKFZ-HIPO), and by Roche Sequencing Solutions (Pleasanton, CA, USA).

Dataset Information

Longitudinal monitoring of cell-free DNA methylation in ALK-positive non-small cell lung cancer patients.

Background

Methods

Results

Conclusion

Publications

Longitudinal monitoring of cell-free DNA methylation in ALK-positive non-small cell lung cancer patients.

Similar Datasets

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