Ingrid Hedenfalk

Lund University
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Sweden

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Articles (18)

Genomic alterations in ovarian endometriosis and subsequently diagnosed ovarian carcinoma

STUDY QUESTION Can the alleged association between ovarian endometriosis and ovarian carcinoma be substantiated by genetic analysis of endometriosis diagnosed prior to the onset of the carcinoma? SUMMARY ANSWER The data suggest that ovarian carcinoma does not originate from ovarian endometriosis with a cancer-like genetic profile; however, a common precursor is probable. WHAT IS KNOWN ALREADY Endometriosis has been implicated as a precursor of ovarian carcinoma based on epidemiologic studies and the discovery of common driver mutations in synchronous disease at the time of surgery. Endometrioid ovarian carcinoma and clear cell ovarian carcinoma are the most common endometriosis-associated ovarian carcinomas (EAOCs). STUDY DESIGN, SIZE, DURATION The pathology biobanks of two university hospitals in Sweden were scrutinized to identify women with surgically removed endometrioma who subsequently developed ovarian carcinoma (1998–2016). Only 45 archival cases with EAOC and previous endometriosis were identified and after a careful pathology review, 25 cases were excluded due to reclassification into non-EAOC (n = 9) or because ovarian endometriosis could not be confirmed (n = 16). Further cases were excluded due to insufficient endometriosis tissue or poor DNA quality in either the endometriosis, carcinoma, or normal tissue (n = 9). Finally 11 cases had satisfactory DNA from all three locations and were eligible for further analysis. PARTICIPANTS/MATERIALS, SETTING, METHODS Epithelial cells were collected from formalin-fixed and paraffin-embedded (FFPE) sections by laser capture microdissection (endometrioma n = 11) or macrodissection (carcinoma n = 11) and DNA was extracted. Normal tissue from FFPE sections (n = 5) or blood samples collected at cancer diagnosis (n = 6) were used as the germline controls for each included patient. Whole-exome sequencing was performed (n = 33 samples). Somatic variants (single-nucleotide variants, indels, and copy number alterations) were characterized, and mutational signatures and kataegis were assessed. Microsatellite instability and mismatch repair status were confirmed with PCR and immunohistochemistry, respectively. MAIN RESULTS AND THE ROLE OF CHANCE The median age for endometriosis surgery was 42 years, and 54 years for the subsequent ovarian carcinoma diagnosis. The median time between the endometriosis and ovarian carcinoma was 10 (7–30) years. The data showed that all paired samples harbored one or more shared somatic mutations. Non-silent mutations in cancer-associated genes were frequent in endometriosis; however, the same mutations were never observed in subsequent carcinomas. The degree of clonal dominance, demonstrated by variant allele frequency, showed a positive correlation with the time to cancer diagnosis (Spearman’s rho 0.853, P < 0.001). Mutations in genes associated with immune escape were the most conserved between paired samples, and regions harboring these genes were frequently affected by copy number alterations in both sample types. Mutational burdens and mutation signatures suggested faulty DNA repair mechanisms in all cases.

Year:

2024

Collaborators (22)

Johan Vallon-Christersson

Lund University

SWEDEN

Joan Yuan

Associate professor

Lund University

SWEDEN

Cathrin Brisken

Professor

Institute of Cancer Research

UNITED KINGDOM

Sofia Westbom Fremer

Lund University

SWEDEN

Sara Regner

Lund University

SWEDEN

Anna Ehinger

Lund University

SWEDEN

Lisa Rydén

Professor Surgery

Umeå Universitet Medicinska fakulteten

SWEDEN

Cristian Bellodi

Lund University

SWEDEN

Ioannis Zerdes

Karolinska University Hospital

SWEDEN

Thomas Fleischer

-

NORWAY

Julhash Kazi

Lund University

SWEDEN

Therese Sørlie

Professor

University of Oslo

NORWAY

Lao Saal

Associate Professor, Head, Translational Oncogenomics Unit

Lund University

SWEDEN

Jari Häkkinen

Lund University

SWEDEN

Sarah Maguire

Lecturer in Applied Genmoics and Bioinformatics

The Queen's University Belfast

UNITED KINGDOM

K Sundfeldt

University of Gothenburg, Sahlgrenska Academy

SWEDEN

Henrik Johansson

Karolinska Institutet

SWEDEN

Kari Nielsen

Lund University

SWEDEN

andreas forsvall

Lund University

SWEDEN

Srinivas Veerla

Lund University

SWEDEN

Dhifaf Sarhan

Associate Professor

Karolinska Institutet

SWEDEN

Artur Mezheyeuski

Uppsala University

SWEDEN
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