Investigator

Louise Torp Dalgaard

VIP · Roskilde University, Centre for Mathematical Modeling - Human Health and Disease

About

LTDLouise Torp Dalga…
Papers(2)
Characterization of s…Circulating microRNAs…
Collaborators(5)
Malene Møller Jørgens…Nanna Lond Skov FriskRikke BækSisse Rye OstrowskiAnja Elaine Sørensen
Institutions(3)
Roskilde UniversityAalborg UniversityThe Capital Region of…

Papers

Characterization of small extracellular vesicles from ovarian cancer patients and pre-diagnostic patient samples: Evidence from the Danish blood donor study

Aim Ovarian cancer (OC) is the leading cause of gynecological cancer deaths. Current biomarkers of OC are not specific or sensitive enough. Extracellular vesicles (EVs), EV surface proteins and their cargo microRNA (miRNA) show potential as biomarkers. This study aimed to characterize the ability of EVs to identify early OC-biomarkers among blood donors six months before their diagnosis. Methods Study groups of OC patients, benign tumor patients (B), healthy blood donors (Control), and blood donors with incident OC diagnosis within six months of the last blood draw (Pre-diagnostic; PD) were established. Small EVs were enriched from plasma using ultracentrifugation. EVs were characterized by Dynamic Light Scattering (DLS), EV Array, NanoFlow Cytometry, Nanoparticle Tracking Analysis, and Western blots. RNA from EVs was isolated. A discovery study was performed on OC and B patients using the TaqMan Array Human MicroRNA A card. A validation study of 9 specific miRNAs was performed using RT-qPCR. Results With DLS, it was identified that the OC patients’ EVs were more heterogeneous in size compared to the other groups. Western blot identified CD63 and TSG101 in the EV enrichments. EV Array assessed 22 known protein biomarkers. TaqMan MicroRNA Array cards indicated a differential miRNA abundance between OC and B; however, technical replication and validation could not validate this pattern. Conclusion This study has analyzed EVs in OC, B, Control, and PD women. More extensive investigations of EV CD9, CD151, and CD81 in conjunction with other risk factors and well-known biomarkers like CA125 or HE4 should be the main objectives of future research.

Circulating microRNAs for Early Diagnosis of Ovarian Cancer: A Systematic Review and Meta-Analysis

In this study, we conducted a systematic review and meta-analysis to summarize and evaluate the global research potential of different circulating miRNAs as an early diagnostic biomarker for OC. A systematic literature search for relevant studies was conducted in June 2020 and followed up in November 2021. The search was conducted in English databases (PubMed, ScienceDirect). The primary search resulted in a total of 1887 articles, which were screened according to the prior established inclusion and exclusion criteria. We identified 44 relevant studies, of which 22 were eligible for the quantitative meta-analysis. Statistical analysis was performed using the Meta-package in Rstudio. Standardized mean differences (SMD) of relative levels between control subjects and OC patients were used to evaluate the differential expression. All studies were quality evaluated using a Newcastle–Ottawa Scale. Based on the meta-analysis, nine miRNAs were identified as dysregulated in OC patients compared to controls. Nine were upregulated in OC patients compared to controls (miR-21, -125, -141, -145, -205, -328, -200a, -200b, -200c). Furthermore, miR-26, -93, -106 and -200a were analyzed, but did not present an overall significant difference between OC patients and controls. These observations should be considered when performing future studies of circulating miRNAs in relation to OC: sufficient size of clinical cohorts, development of consensus guidelines for circulating miRNA measurements, and coverage of previously reported miRNAs.

116Works
2Papers
5Collaborators
Ovarian NeoplasmsBiomarkers, TumorMetabolic DiseasesDisease Models, AnimalEarly DiagnosisPolycystic Ovary SyndromeNon-alcoholic Fatty Liver Disease

Positions

2021–

VIP

Roskilde University · Centre for Mathematical Modeling - Human Health and Disease

2018–

VIP

Roskilde University · Centre for Frustrated Molecular Interactions

2017–

Professor

Roskilde Universitet · Department of Science and Environment

2015–

VIP, Professor

Roskilde University · Department of Science and Environment

2013–

VIP

Roskilde University · Molecular and Medical Biology

2007–

Associate professor

Roskilde Universitet · Department of Science

2010–

VIP, Associate Professor

Roskilde University · The Department of Science, Systems and Models

2010–

VIP, Professor (MSO)

Roskilde University · Eukaryot Cellebiologi

Education

2001

PhD in Biomedicine

University of Copenhagen · Faculty of Health

1998

Master of Science in Human Biology

University of Copenhagen · Faculty of Health

Keywords
Type 2 diabetesbeta-cellsisletsmicroRNAmitochondria