Investigator

Stian Knappskog

Professor · University of Bergen, Department of Clinical Science

SKStian Knappskog
Papers(7)
Constitutional Epimut…Impact of <i>MDM2</i>…<i><scp>APOBEC3A</scp…Molecular and phenoty…Impact of the APOBEC3…Mutational Signature …Constitutional <i>BRC…
Collaborators(10)
Per E. LønningOleksii NikolaienkoVictor MaoAntuan TranCecilie Fredvik Torki…David B. SolitDoga C. GulhanErica L. MayerEric P. WinerFelipe Batalini
Institutions(4)
Haukeland University …University Of BergenUniversity Of Massach…Memorial Sloan Ketter…

Papers

Constitutional Epimutations: From Rare Events Toward Major Cancer Risk Factors?

Constitutional epimutations are epigenetic aberrations that arise in normal cells prenatally. Two major forms exist: secondary constitutional epimutations (SCEs), associated with cis -acting genetic aberrations, and primary constitutional epimutations (PCEs), for which no associated genetic aberrations were identified. Some SCEs have been associated with risk of cancer ( MLH1 and MSH2 with colon or endometrial cancers, BRCA1 with familial breast and ovarian cancers), although such epimutations are rare, with a total of &lt;100 cases reported. This contrasts recent findings for PCE, where low-level mosaic BRCA1 epimutations are recorded in 5%-10% of healthy females across all age groups, including newborns. BRCA1 PCEs predict an elevated risk of high-grade serous ovarian cancer and triple-negative breast cancer (TNBC) and are estimated to account for about 20% of all TNBCs. A similarly high population frequency is observed for mosaic constitutional epimutations in MGMT , occurring as PCE or SCE, but not in MLH1 . Contrasting BRCA1 and MLH1 , a potential association with cancer risk for MGMT epimutations is yet unclear. In this review, we provide a summary of findings linking constitutional epimutations to cancer risk with emphasis on PCE. We also highlight challenges in detection of PCE exemplified by low-level mosaic epimutations in BRCA1 and indicate the need for further studies, hypothesizing that improved knowledge about PCE may add significantly to our understanding of cancer risk, carcinogenesis, and potentially development of other diseases as well.

APOBEC3A/B deletion polymorphism and endometrial cancer risk

AbstractBackgroundA common 30 kb deletion affecting the APOBEC3A and APOBEC3B genes has been linked to increased APOBEC activity and APOBEC‐related mutational signatures in human cancers. The role of this deletion as a cancer risk factor remains controversial.Materials and MethodsWe genotyped the APOBEC3A/B deletion in a sample of 1,470 Norwegian endometrial cancer cases and compared to 1,918 healthy controls. For assessment across Caucasian populations, we mined genotypes of the SNP rs12628403, which is in strong linkage disequilibrium with the deletion, in a GWAS dataset of 4,274 cases and 18,125 healthy controls, through the ECAC consortium.ResultsWe found the APOBEC3A/B deletion variant to be significantly associated with reduced risk of endometrial cancer among Norwegian women (OR = 0.75; 95% CI = 0.62–0.91; p = 0.003; dominant model). Similar results were found in the subgroup of endometrioid endometrial cancer (OR = 0.64; 95% CI = 0.51–0.79; p = 3.6 × 10−5; dominant model). The observed risk reduction was particularly strong among individuals in the range of 50–60 years of age (OR = 0.51; 95% CI = 0.33–0.78; p = 0.002; dominant model). In the different populations included in the ECAC dataset, the ORs varied from 0.85 to 1.05. Although five out of six populations revealed ORs &lt;1.0, the overall estimate was nonsignificant and, as such, did not formally validate the findings in the Norwegian cohort.ConclusionThe APOBEC3A/B deletion polymorphism is associated with a decreased risk of endometrial cancer in the Norwegian population.

Molecular and phenotypic characteristics influencing the degree of cytoreduction in high‐grade serous ovarian carcinomas

AbstractBackgroundHigh‐grade serous ovarian carcinoma (HGSOC) is the deadliest ovarian cancer subtype, and survival relates to initial cytoreductive surgical treatment. The existing tools for surgical outcome prediction remain inadequate for anticipating the outcomes of the complex relationship between tumour biology, clinical phenotypes, co‐morbidity and surgical skills. In this genotype–phenotype association study, we combine phenotypic markers with targeted DNA sequencing to discover novel biomarkers to guide the surgical management of primary HGSOC.MethodsPrimary tumour tissue samples (n = 97) and matched blood from a phenotypically well‐characterised treatment‐naïve HGSOC patient cohort were analysed by targeted massive parallel DNA sequencing (next generation sequencing [NGS]) of a panel of 360 cancer‐related genes. Association analyses were performed on phenotypic traits related to complete cytoreductive surgery, while logistic regression analysis was applied for the predictive model.ResultsThe positive influence of complete cytoreductive surgery (R0) on overall survival was confirmed (p = 0.003). Before surgery, low volumes of ascitic fluid, lower CA125 levels, higher platelet counts and relatively lower clinical stage at diagnosis were all indicators, alone and combined, for complete cytoreduction (R0). Mutations in either the chromatin remodelling SWI_SNF (p = 0.036) pathway or the histone H3K4 methylation pathway (p = 0.034) correlated with R0. The R0 group also demonstrated higher tumour mutational burden levels (p = 0.028). A predictive model was developed by combining two phenotypes and the mutational status of five genes and one genetic pathway, enabling the prediction of surgical outcomes in 87.6% of the cases in this cohort.ConclusionInclusion of molecular biomarkers adds value to the pre‐operative stratification of HGSOC patients. A potential preoperative risk stratification model combining phenotypic traits and single‐gene mutational status is suggested, but the set‐up needs to be validated in larger cohorts.

Impact of the APOBEC3A/B deletion polymorphism on risk of ovarian cancer

AbstractA germline 29.5-kb deletion variant removes the 3’ end of the APOBEC3A gene and a large part of APOBEC3B, creating a hybrid gene that has been linked to increased APOBEC3 activity and DNA damage in human cancers. We genotyped the APOBEC3A/B deletion in hospital-based samples of 1398 Norwegian epithelial ovarian cancer patients without detected BRCA1/2 germline mutations and compared to 1,918 healthy female controls, to assess the potential cancer risk associated with the deletion. We observed an association between APOBEC3A/B status and reduced risk for ovarian cancer (OR = 0.75; CI = 0.61–0.91; p = 0.003) applying the dominant model. Similar results were found in other models. The association was observed both in non-serous and serous cases (dominant model: OR = 0.69; CI = 0.50–0.95; p = 0.018 and OR = 0.77; CI = 0.62–0.96; p = 0.019, respectively) as well as within high-grade serous cases (dominant model: OR = 0.79; CI = 0.59–1.05). For validation purposes, we mined an available large multinational GWAS-based data set of &gt; 18,000 cases and &gt; 26,000 controls for SNP rs12628403, known to be in linkage disequilibrium with the APOBEC3A/B deletion. We found a non-significant trend for SNP rs12628403 being linked to reduced risk of ovarian cancer in general and similar trends for all subtypes. For clear cell cancers, the risk reduction reached significance (OR = 0.85; CI = 0.69–1.00).

Mutational Signature 3 Detected from Clinical Panel Sequencing is Associated with Responses to Olaparib in Breast and Ovarian Cancers

Abstract Purpose: The identification of patients with homologous recombination deficiency (HRD) beyond BRCA1/2 mutations is an urgent task, as they may benefit from PARP inhibitors. We have previously developed a method to detect mutational signature 3 (Sig3), termed SigMA, associated with HRD from clinical panel sequencing data, that is able to reliably detect HRD from the limited sequencing data derived from gene-focused panel sequencing. Experimental Design: We apply this method to patients from two independent datasets: (i) high-grade serous ovarian cancer and triple-negative breast cancer (TNBC) from a phase Ib trial of the PARP inhibitor olaparib in combination with the PI3K inhibitor buparlisib (BKM120; NCT01623349), and (ii) TNBC patients who received neoadjuvant olaparib in the phase II PETREMAC trial (NCT02624973). Results: We find that Sig3 as detected by SigMA is positively associated with improved progression-free survival and objective responses. In addition, comparison of Sig3 detection in panel and exome-sequencing data from the same patient samples demonstrated highly concordant results and superior performance in comparison with the genomic instability score. Conclusions: Our analyses demonstrate that HRD can be detected reliably from panel-sequencing data that are obtained as part of routine clinical care, and that this approach can identify patients beyond those with germline BRCA1/2mut who might benefit from PARP inhibitors. Prospective clinical utility testing is warranted.

Constitutional BRCA1 Epimutations: A Key for Understanding Basal‐Like Breast and High‐Grade Serous Ovarian Cancer

Germline pathogenic genetic variants in the BRCA1 and BRCA2 genes are the most frequent causes of familial breast and ovarian cancer. Contrasting BRCA2, epimutations in the BRCA1 gene are frequently detected in tissue from triple‐negative breast (TNBC) and high‐grade serous ovarian cancers (HGSOC). While studies over the last decade have reported BRCA1 epimutations in white blood cells (WBC) from breast and ovarian cancer patients, the potential hazard ratio for incident TNBC and HGSOC was not formally assessed until recently.Conducting a prospective nested case‐control study on women participating in the American Women’s Health Initiative Study, we provided firm evidence that mosaic WBC BRCA1 epimutations, even at allele frequencies &lt; 0.1%, are associated with a significantly increased risk of both incident HGSOC and TNBC &gt; 5 years after WBC collection. In a second study assessing BRCA1 epimutations in WBC and matched tumor samples from TNBC, our results indicated such epimutations to be the underlying cause of around 20% of TNBC, far exceeding the percentage of cases carrying BRCA1 germline pathogenic genetic variants.We detected primary constitutional BRCA1 epimutations in tissues derived from all three germ layers. They occur independently of BRCA1 promoter haplotypes but are present on the same allele in all WBC within affected individuals. Moreover, epimutations are consistently found on the same allele in normal and tumor breast tissue as well as in WBC. This finding, together with BRCA1 epimutations detected in WBC from newborns, strongly indicates an early embryonic event with clonal expansion affecting all germ layers.Future work in the field must lead to an understanding of exactly when and how the BRCA1 epimutations occur and, most importantly, whether primary constitutional epimutations in genes other than BRCA1 may cause an elevated risk of other cancer types.

7Papers
23Collaborators
Ovarian NeoplasmsBreast NeoplasmsCarcinoma, NeuroendocrineNeoplasm GradingNeuroendocrine TumorsPrognosis

Positions

2019–

Professor

University of Bergen · Department of Clinical Science

2015–

Senior Research Fellow

Haukeland University Hospital · Department of Oncology

2015–

Senior Research Fellow

University of Bergen · Department of Clinical Science

2012–

Senior Scientist

University of Bergen · Department of Clinical Science

2011–

Visiting Scientist

Wellcome Trust Sanger Institute · Cancer Genome Project

2007–

Post doctor

University of Bergen · Institute of Medicine

Education

2007

Philosophiae doctor (PhD)

University of Bergen · Institute of Medicine

2003

Cand. Scient.

University of Bergen · Department of Molecular Biology

2001

Cand. Mag. (eq.)

University of Bergen · Department of Molecular Biology

2000

Norwegian Army · Mandatory military service

2000

Examen philosophicum

University of Tromso

1999

Bioengineer

Bergen College for Higher Education · Department of Engineers education

Country

NO

Keywords
Breast cancerChemoresistanceCancer geneticsCancer genomics