A Liquid Biopsy-Based Approach for Monitoring Treatment Response in Post-Operative Colorectal Cancer Patients.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
29 Mar 2022
Historique:
received: 01 03 2022
revised: 25 03 2022
accepted: 28 03 2022
entrez: 12 4 2022
pubmed: 13 4 2022
medline: 14 4 2022
Statut: epublish

Résumé

Monitoring the therapeutic response of colorectal cancer (CRC) patients is crucial to determine treatment strategies; therefore, we constructed a liquid biopsy-based approach for tracking tumor dynamics in non-metastatic (nmCRC) and metastatic (mCRC) patients (n = 55). Serial blood collections were performed during chemotherapy for measuring the amount and the global methylation pattern of cell-free DNA (cfDNA), the promoter methylation of SFRP2 and SDC2 genes, and the plasma homocysteine level. The average cfDNA amount was higher (p < 0.05) in nmCRC patients with recurrent cancer (30.4 ± 17.6 ng) and mCRC patients with progressive disease (PD) (44.3 ± 34.5 ng) compared to individuals with remission (13.2 ± 10.0 ng) or stable disease (12.5 ± 3.4 ng). More than 10% elevation of cfDNA from first to last sample collection was detected in all recurrent cases and 92% of PD patients, while a decrease was observed in most patients with remission. Global methylation level changes indicated a decline (75.5 ± 3.4% vs. 68.2 ± 8.4%), while the promoter methylation of SFRP2 and SDC2 and homocysteine level (10.9 ± 3.4 µmol/L vs. 13.7 ± 4.3 µmol/L) presented an increase in PD patients. In contrast, we found exact opposite changes in remission cases. Our study offers a more precise blood-based approach to monitor the treatment response to different chemotherapies than the currently used markers.

Identifiants

pubmed: 35409133
pii: ijms23073774
doi: 10.3390/ijms23073774
pmc: PMC8998310
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Cell-Free Nucleic Acids 0
Homocysteine 0LVT1QZ0BA

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Hungarian National Research, Development and Innovation Office (NKFIH)
ID : NVKP_16-1-2016-0004
Organisme : Higher Education Institutional Excellence Programme of the Ministry of Human Capacities in Hungary
ID : 0

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Auteurs

Barbara Kinga Barták (BK)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

Tamás Fodor (T)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

Alexandra Kalmár (A)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Molecular Medicine Research Group, Eötvös Loránd Research Network, 1083 Budapest, Hungary.

Zsófia Brigitta Nagy (ZB)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

Sára Zsigrai (S)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

Krisztina Andrea Szigeti (KA)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

Gábor Valcz (G)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Molecular Medicine Research Group, Eötvös Loránd Research Network, 1083 Budapest, Hungary.

Péter Igaz (P)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Molecular Medicine Research Group, Eötvös Loránd Research Network, 1083 Budapest, Hungary.
Department of Endocrinology, Semmelweis University, 1083 Budapest, Hungary.

Magdolna Dank (M)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

István Takács (I)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.

Béla Molnár (B)

Department of Internal Medicine and Oncology, Semmelweis University, 1083 Budapest, Hungary.
Molecular Medicine Research Group, Eötvös Loránd Research Network, 1083 Budapest, Hungary.

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Classifications MeSH