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Profil bibliographique

Karoline Kondrup

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

6Publications signalées
8Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Cancer Genomics and DiagnosticsEpigenetics and DNA MethylationProstate Cancer Treatment and ResearchProstate Cancer Diagnosis and TreatmentComputational Drug Discovery Methods

Les publications récentes

Accès ouvert 2026 article OpenAlex

Genome-wide methylome profiling of cell-free DNA enables prognostication of patients with castration-resistant prostate cancer

Karoline Kondrup, Laura Iisager, Paul Vinu Salachan, Maibritt Nørgaard et autres

BACKGROUND: Metastatic castration-resistant prostate cancer (mCRPC) remains a lethal disease with few biomarkers to inform treatment selection or patient prognosis. Methylation profiles of plasma circulating tumour DNA (ctDNA) accurately reflect tumour methylomes and may reveal novel biomarkers of mCRPC. METHODS: To establish …

dk, gb (code pays fourni par la source)

0 citations British Journal of Cancer
2026 conference-abstract OpenAlex

Abstract 1180: Integrating methylation-based circulating tumor DNA analysis with PSMA-PET/CT primary staging for enhanced risk stratification in de novo metastatic prostate cancer.

Karoline Kondrup, Mads Ryø Jochumsen, Laura Iisager, Paul V. Salachan et autres

Abstract Background: Metastatic prostate cancer (mPC) is associated with high mortality. Newly diagnosed PC patients suspected of metastasis can undergo imaging-based primary tumor staging by PSMA PET/CT. Accurate staging is crucial for treatment selection, as localized PC may be cured by surgery …

dk (code pays fourni par la source)

0 citations Cancer Research
Accès ouvert 2026 article OpenAlex

Epigenomic subtypes and prognostic methylation signatures in clear cell renal cell carcinoma

Laura Iisager, Cecilie Lindgaard, Johanne Ahrenfeldt, Jesper Huitfeld Jespersen et autres

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is characterized by marked epigenetic dysregulation, contributing to aberrant gene expression and tumor progression. To expand current knowledge on genome-wide methylation patterns in ccRCC, we performed Methylated DNA Immunoprecipitation sequencing (MeDIP-seq) on tumor samples from …

dk (code pays fourni par la source)

0 citations Clinical Epigenetics
Accès ouvert 2025 article OpenAlex

Cross-dataset pan-cancer detection by correlating cell-free DNA fragment coverage with open chromatin sites across cell types

Ludvig Renbo Olsen, Denis Odinokov, Jakob Qvortrup Holsting, Karoline Kondrup et autres

The fragmentation patterns of whole genome sequenced cell-free DNA are promising features for tumor-agnostic cancer detection. However, systematic biases challenge their cross-cohort generalization. We introduce LIONHEART, an open source cancer detection method specifically optimized to generalize across datasets. The method correlates bias-corrected …

dk, sg (code pays fourni par la source)

3 citations Nature Communications
Accès ouvert 2025 article OpenAlex

Deep targeted sequencing of circulating tumor DNA to inform treatment in patients with metastatic castration-resistant prostate cancer

Maibritt Nørgaard, Maria Rusan, Karoline Kondrup, Ea Marie Givskov Sørensen et autres

BACKGROUND: Intrinsic and acquired resistance to second-generation anti-androgens pose a significant clinical challenge in the treatment of metastatic castration-resistant prostate cancer (mCRPC). Novel biomarkers to predict treatment response and inform alternative treatment options are urgently needed. METHODS: Deep targeted sequencing, with a …

dk, se, be (code pays fourni par la source)

4 citations Journal of Experimental & Clinical Cancer Research
Accès ouvert 2024 preprint OpenAlex

Cross-dataset pan-cancer detection: Correlating cell-free DNA fragment coverage with open chromatin sites across cell types

Ludvig Renbo Olsen, Denis Odinokov, Jakob Qvortrup Holsting, Karoline Kondrup et autres

Abstract The fragmentation patterns of whole genome sequenced cell-free DNA are promising features for tumor-agnostic cancer detection. However, systematic biases challenge their cross-cohort generalization. We introduce LIONHEART, a novel, open source cancer detection method specifically optimized to generalize across datasets. The method …

dk, sg (code pays fourni par la source)

1 citation medRxiv

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