Multi-Omics Characterization of ctDNA Release Mechanisms in Ovarian Cancer
Nguyen, M. T. N.; Li, Y.; Afenteva, D.; Lavikka, K.; Marchi, G.; Hynninen, J.; Hautaniemi, S.; Oikkonen, J.
Show abstract
Circulating tumor DNA (ctDNA) is a powerful biomarker capable to predict tumor dynamics and treatment response. Despite its importance, the biological mechanisms behind ctDNA release have remained unclear. The variability among patients is affected by cancer burden, histology and stage, but these factors cover only a part of the detected variability. Herein, we characterized molecular drivers of baseline ctDNA variability in a real-world cohort of 118 patients with ovarian high-grade serous carcinoma (HGSC). Genomic and transcriptomic analyses revealed a strong positive correlation between ctDNA levels and cellular proliferation, and an inverse relationship with immune activity. Particularly, low ctDNA tumors exhibited higher bulk expression of mucins and CIITA, suggesting that intrinsic immune responses and immune landscape are linked to ctDNA release. The low and high ctDNA levels were significantly associated with poor prognosis compared to medium level in unresectable HGSC patients treated with neoadjuvant chemotherapy. In summary, our results suggest that ctDNA release is modulated by cancer cell proliferation and tumor microenvironment.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spatial transcriptomics reveals ovarian cancer subclones with distinct tumour microenvironments 97%
- Predicting immunotherapy response in advanced bladder cancer: a meta-analysis of six independent cohorts 97%
- Whole-genome analysis of Nigerian patients with breast cancer reveals ethnic-driven somatic evolution and distinct genomic subtypes 97%
Similar papers in this journal
- Tumor break load quantitates structural variant-associated genomic instability with biological and clinical relevance across cancers 96%
- Germline rare deleterious variant load alters cancer risk, age of onset and tumor characteristics 96%
- Predicting the Tumor Microenvironment Composition and Immunotherapy Response in Non-Small Cell Lung Cancer from Digital Histopathology Images 95%
Similar papers in this journal
- Propagated circulating tumor cells uncovers the rople of NFκB and COP1 in metastasis 96%
- The epithelial-mesenchymal transcription factor SNAI1 represses transcription of the tumor suppressor miRNA let-7 in cancer 94%
- Genome-wide CRISPR screen identifies KEAP1 perturbation as a vulnerability of ARID1A-deficient cells 94%
Similar papers in this journal
- Determination of permissive and restraining cancer-associated fibroblast (DeCAF) subtypes 96%
- Inflammatory reprogramming of the tumor microenvironment by infiltrating clonal hematopoiesis is associated with adverse outcomes in solid cancer 96%
- Conserved angio-immune subtypes of the cancer microenvironment predict response to immune checkpoint blockade therapy 95%
Similar papers in this journal
- High-confidence calling of normal epithelial cells allows identification of a novel stem-like cell state in the colorectal cancer microenvironment 94%
- Germline APOBEC3B deletion in Asian women increases somatic hypermutation in breast cancer that is associated with Her2 subtype, PIK3CA mutations, immune activation, and increased survival 93%
- Prelude to Malignancy: A Gene Expression Signature in Normal Mammary Gland from Breast Cancer Patients Suggests Pre-tumorous Alterations and Is Associated with Adverse Outcomes 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.