Marjanka K. Schmidt’s research while affiliated with Netherlands Cancer Institute and other places

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Publications (567)


Cumulative incidence for ischemic heart disease (IHD) events for women carrying a BRCA1/2pv (solid lines) and the comparison group (proven non-carriers of a BRCA1/2pv or women who were never tested for a BRCA1/2pv) (dashed lines) with death due to any other cause besides ischemic heart disease as a competing event stratified according to radiotherapy regimen (radiotherapy including the IMC field (black lines) and radiotherapy not including the IMC field (gray lines))
Cumulative incidence for heart failure (HF) events for women carrying a BRCA1/2pv (solid lines) and the comparison group (proven non-carriers of a BRCA1/2pv or women who were never tested for a BRCA1/2pv) (dashed lines) with death due to any other cause besides HF as a competing event stratified according to chemotherapy regimen (chemotherapy including anthracyclines (black lines) and chemotherapy not including anthracyclines (gray lines)
Cardiovascular disease risk after breast cancer treatment in patients with a BRCA1/2 pathogenic variant
  • Article
  • Publisher preview available

October 2024

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9 Reads

Breast Cancer Research and Treatment

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Naomi B. Boekel

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Maartje H. Hooning

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[...]

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Flora E. van Leeuwen

Purpose Breast cancer (BC) treatment can induce adverse events, such as cardiovascular disease (CVD). Defective DNA repair, as in carriers of BRCA1/2 pathogenic variants (BRCA1/2pv), may contribute to CVD risk. We aimed to study if female BRCA1/2pv carriers are more sensitive to develop CVD after BC treatment than BC patients without a known BRCA1/2pv. Methods In a hospital-based cohort of 17,300 female BC patients, we identified 509 BRCA1/2pv carriers. Cardiovascular morbidity and mortality were assessed through hospital charts and general practitioner questionnaires. We performed Cox regression analyses comparing BRCA1/2pv carriers with all other BC patients, adjusting for age, radiotherapy regimen, chemotherapy regimen, and smoking status. Results Median follow-up time since BC treatment was 14 years. In total, 1108 women experienced ischemic heart disease (IHD), of whom 20 (1.8%) were BRCA1/2pv carriers. Heart failure (HF) was diagnosed in 638 women, of whom 10 (1.6%) were BRCA1/2pv carriers. BRCA1/2pv carriership was associated with a slight not statistically significant increase of IHD (adjHR 1.51, 95%CI 0.93; 2.42), but not with risk of HF (adjHR 0.86, 95%CI 0.44; 1.69). The association between radiotherapy and IHD risk was not significantly different between BRCA1/2pv carriers [HR 2.30 (95%CI 0.79; 6.66)] and other BC patients (HR 1.50, 95%CI 1.30; 1.73). Associations between anthracycline-based chemotherapy and HF risk also did not differ between carriers and other BC patients (HRs of 4.02 (95%CI 1.02; 15.77) and 2.31 (95%CI 1.77; 3.01), respectively). Conclusions In BRCA1/2pv BC patients, we found no evidence for a higher risk of BC treatment-related CVD than in other BC patients.

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Cohort profile: a nationwide study in Dutch CHEK2 c.1100delC families using the infrastructure of the HEreditary Breast and Ovarian cancer study Netherlands – Hebon-CHEK2

October 2024

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6 Reads

BMJ Open

Purpose CHEK2 c.1100delC is associated with an increased breast cancer risk in women. While this variant is prevalent in the Netherlands (1% in the general population), knowledge of aetiology and prognosis of breast cancer and other tumours in CHEK2 c.1100delC carriers is lacking. The nationwide HEreditary Breast and Ovarian cancer study the Netherlands (Hebon) cohort aims to answer study questions in families with an increased risk of breast cancer and ovarian cancer. While initially focusing on BRCA1/2 -variant families, Hebon gradually expanded to include pathogenic variants in other genes associated with breast and/or ovarian cancer over time. This provides an excellent setting to establish a cohort to ultimately study the impact of CHEK2 c.1100delC on cancer risk prediction and surveillance, breast cancer treatment and prognosis. Participants We invited all heterozygous and homozygous CHEK2 c.1100delC indexes and tested female relatives. 1802 women were included, of whom 1374 were heterozygotes and 938 were breast cancer cases. Pedigrees were collected from all clinical genetic departments. Furthermore, participants completed a detailed questionnaire on hormonal and lifestyle factors, family history, cancer diagnosis and treatment. Findings to date Mean age at study inclusion was 53 years. Linkage with the Netherlands Cancer Registry showed a younger age at diagnosis in homozygotes (mean age 41.7 years) and heterozygotes (47.9 years) than non-carriers (51.2 years). Furthermore, carriers were more often diagnosed with grade 2, oestrogen receptor-positive breast cancer and more often developed contralateral breast cancer than non-carriers. Most women consumed alcohol regularly and about half never smoked. Future plans Further data linkages with the Netherlands Cancer Registry will allow prospective follow-up and breast cancer risk assessment in unaffected women at the time of genetic testing, risk of contralateral breast cancer and survival in patients with breast cancer. Also, linkage with the nationwide network and registry of histopathology and cytopathology in The Netherlands (PALGA) allows us to retrieve tumour samples to study tumourigenesis.


Mechanisms that clear mutations drive field cancerization in mammary tissue

September 2024

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71 Reads

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5 Citations

Nature

Oncogenic mutations are abundant in the tissues of healthy individuals, but rarely form tumours 1–3 . Yet, the underlying protection mechanisms are largely unknown. To resolve these mechanisms in mouse mammary tissue, we use lineage tracing to map the fate of wild-type and Brca1 −/− ;Trp53 −/− cells, and find that both follow a similar pattern of loss and spread within ducts. Clonal analysis reveals that ducts consist of small repetitive units of self-renewing cells that give rise to short-lived descendants. This offers a first layer of protection as any descendants, including oncogenic mutant cells, are constantly lost, thereby limiting the spread of mutations to a single stem cell-descendant unit. Local tissue remodelling during consecutive oestrous cycles leads to the cooperative and stochastic loss and replacement of self-renewing cells. This process provides a second layer of protection, leading to the elimination of most mutant clones while enabling the minority that by chance survive to expand beyond the stem cell-descendant unit. This leads to fields of mutant cells spanning large parts of the epithelial network, predisposing it for transformation. Eventually, clone expansion becomes restrained by the geometry of the ducts, providing a third layer of protection. Together, these mechanisms act to eliminate most cells that acquire somatic mutations at the expense of driving the accelerated expansion of a minority of cells, which can colonize large areas, leading to field cancerization.


Fig. 4: Case-control likelihood ratio evidence per sequence ontology variant consequence compared to ClinVar clinical classification. Sankey plots for a BRCA1 and b BRCA2. The variants assigned case-control likelihood ratio (LR) evidence in favor of or against pathogenicity (with suggested supporting, moderate, strong or very strong evidence strength) are simplistically annotated as "Pathogenic", and "Benign" "Suggested case-control LR (ccLR) ACMG/AMP Evidence", respectively. Variants with LRs between 0.48 and 2.08 are defined as "No evidence" in the "Suggested ccLR ACMG/AMP Evidence" panel. The clinical classification status ("ClinVar Class") of variants was retrieved from the ClinVar database (last accessed on January 7, 2024).
Fig. 5: Distribution of the case-control likelihood ratios for BRCA1 and BRCA2. Histograms showing the distribution of case-control likelihood ratios (LRs) categorized by a sequence ontology variant consequence for BRCA1, b ClinVar classification for BRCA1, c sequence ontology variant consequence for BRCA2, d ClinVar classification for BRCA2. For visualization purposes the x axis represents log10(LR) values. Dashed lines represent LRs between 0.48 and 2.08 considered as of "No evidence".
Fig. 8: Flowchart summarizing the study design. Using sequencing data of 96,691 female breast cancer cases and 304,649 unaffected controls from the Breast Cancer Association Consortium (BCAC), the Cancer Risk Estimates Related to Susceptibility (CARRIERS) consortium and the UK Biobank (UKB) we calculated case-control likelihood ratios (LRs) and odds ratios (ORs) for 11,264 BRCA1 and BRCA2 variants, of which 6,943 are coding (coding sequence, CDS±5bp). Derived LRs and ORs were further aligned to ACMG/AMP evidence strengths to provide evidence in favor or against pathogenicity following sensitivity analyses-derived variant exclusion criteria
Analysis of more than 400,000 women provides case-control evidence for BRCA1 and BRCA2 variant classification

September 2024

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194 Reads

Clinical genetic testing identifies variants causal for hereditary cancer, information that is used for risk assessment and clinical management. Unfortunately, some variants identified are of uncertain clinical significance (VUS), complicating patient management. Case-control data is one evidence type used to classify VUS, and previous findings indicate that case-control likelihood ratios (LRs) outperform odds ratios for variant classification. As an initiative of the Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) Analytical Working Group we analyzed germline sequencing data of BRCA1 and BRCA2 from 96,691 female breast cancer cases and 303,925 unaffected controls from three studies: the BRIDGES study of the Breast Cancer Association Consortium, the Cancer Risk Estimates Related to Susceptibility consortium, and the UK Biobank. We observed 11,227 BRCA1 and BRCA2 variants, with 6,921 being coding, covering 23.4% of BRCA1 and BRCA2 VUS in ClinVar and 19.2% of ClinVar curated (likely) benign or pathogenic variants. Case-control LR evidence was highly consistent with ClinVar assertions for (likely) benign or pathogenic variants; exhibiting 99.1% sensitivity and 95.4% specificity for BRCA1 and 92.2% sensitivity and 86.6% specificity for BRCA2 . This approach provides case-control evidence for 785 unclassified variants, that can serve as a valuable element for clinical classification.


Causal effects of breast cancer risk factors across hormone receptor breast cancer subtypes: A two-sample Mendelian randomization study

September 2024

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4 Reads

Background It is unclear if established breast cancer risk factors exert similar causal effects across hormone receptor breast cancer subtypes. We estimated and compared causal estimates of height, body mass index (BMI), type 2 diabetes, age at menarche, age at menopause, breast density, alcohol consumption, regular smoking, and physical activity across these subtypes. Methods We used a two-sample Mendelian randomization approach and selected genetic instrumental variables from large-scale risk factor GWAS. Publicly available summary-level data for the following subtypes were included: luminal A-like; luminal B/HER2-negative-like; luminal B-like; HER2-enriched-like; triple negative. We employed multiple methods to evaluate the strength of causal evidence for each risk factor-subtype association. Results Collectively, our analyses indicated that increased height and decreased BMI are probable causal risk factors for all five subtypes. For the other risk factors, the strength of evidence for causal effects differed across subtypes. Heterogeneity in the magnitude of causal effect estimates for age at menopause and breast density was explained by null findings for triple negative tumours. Regular smoking was the sole risk factor for which there was no evidence for a causal effect on any subtype. Conclusions This study suggests that established breast cancer risk factors differ across hormone receptor subtypes.



Risk factors for breast cancer subtypes by race and ethnicity: A scoping review

July 2024

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15 Reads

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2 Citations

JNCI Journal of the National Cancer Institute

Background Breast cancer consists of distinct molecular subtypes. Studies have reported differences in risk factor associations with breast cancer subtypes, especially by tumor estrogen receptor (ER) status, but their consistency across racial and ethnic populations has not been comprehensively evaluated. Methods We conducted a qualitative, scoping literature review using the Preferred Reporting Items for Systematic Reviews and Meta-analysis, extension for Scoping Reviews to investigate consistencies in associations between 18 breast cancer risk factors (reproductive, anthropometric, lifestyle, and medical history) and risk of ER-defined subtypes in women who self-identify as Asian, Black or African American, Hispanic or Latina, or White. We reviewed publications between January 1, 1990 and July 1, 2022. Etiologic heterogeneity evidence (convincing, suggestive, none, or inconclusive) was determined by expert consensus. Results Publications per risk factor ranged from 14 (benign breast disease history) to 66 (parity). Publications were most abundant for White women, followed by Asian, Black or African American, and Hispanic or Latina women. Etiologic heterogeneity evidence was strongest for parity, followed by age at first birth, postmenopausal body mass index, oral contraceptive use, and estrogen-only and combined menopausal hormone therapy. Evidence was limited for other risk factors. Findings were consistent across racial and ethnic groups, although the strength of evidence varied. Conclusion The literature supports etiologic heterogeneity by ER for some established risk factors that are consistent across race and ethnicity groups. However, in non-White populations evidence is limited. Larger, more comparable data in diverse populations are needed to better characterize breast cancer etiologic heterogeneity.



Analysis of variants in untranslated and promoter regions and breast cancer risk using whole genome sequencing data

July 2024

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114 Reads

Recent exome-wide association studies have explored the role of coding variants in breast cancer risk, highlighting the role of rare variants in multiple genes including BRCA1, BRCA2, CHEK2, ATM and PALB2, as well as new susceptibility genes e.g., MAP3K1. These genes, however, explain a small proportion of the missing heritability of the disease. Much of the missing heritability likely lies in the non-coding genome. We evaluated the role of rare variants in the 5' and 3' untranslated regions (UTRs) of 18,676 genes, and 35,201 putative promoter regions, using whole-genome sequencing data from UK Biobank on 8,001 women with breast cancer and 92,534 women without breast cancer. Burden tests and SKAT-O tests were performed in UTR and promoter regions. For UTR regions of 35 putative breast cancer susceptibility genes, we additionally performed a meta-analysis with a large breast cancer case-control dataset. Associations for 8 regions at P<0.0001 were identified, including several with known roles in tumorigenesis. The strongest evidence of association was for variants in the 5' UTR of CDK5R1 (P=8.5x10-7). These results highlight the potential role of non-coding regulatory regions in breast cancer susceptibility.


DCIS knowledge of women choosing between active surveillance and surgery for low-risk DCIS

July 2024

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28 Reads

The Breast

Background Ductal carcinoma in situ (DCIS) can progress to invasive breast cancer (IBC), but often never will. As we cannot predict accurately which DCIS-lesions will or will not progress to IBC, almost all women with DCIS undergo breast-conserving surgery supplemented with radiotherapy, or even mastectomy. In some countries, endocrine treatment is prescribed as well. This implies many women with non-progressive DCIS undergo overtreatment. To reduce this, the LORD patient preference trial (LORD-PPT) tests whether mammographic active surveillance (AS) is safe by giving women with low-risk DCIS a choice between treatment and AS. For this, sufficient knowledge about DCIS is crucial. Therefore, we assessed women's DCIS knowledge in association with socio-demographic and clinical characteristics. Methods LORD-PPT participants (N = 376) completed a questionnaire assessing socio-demographic and clinical characteristics, risk perception, treatment choice and DCIS knowledge after being informed about their diagnosis and treatment options. Results 66 % of participants had poor knowledge (i.e., answered ≤3 out of 7 knowledge items correctly). Most incorrect answers involved overestimating the safety of AS and misunderstanding of DCIS prognostic risks. Overall, women with higher DCIS knowledge score perceived their risk of developing IBC as being somewhat higher than women with poorer knowledge (p = 0.049). Women with better DCIS knowledge more often chose surgery whilst most women with poorer knowledge chose active surveillance (p = 0.049). Discussion Our findings show that there is room for improvement of information provision to patients. Decision support tools for patients and clinicians could help to stimulate effective shared decision-making about DCIS management.


Citations (59)


... They also observed that both the loss and expansion of clones over large fields is driven by the local loss and replacement of stem cells during the oestrus cycle-driven turnover of side branches. Indeed, stopping the oestrus cycle by ovariectomy prevented the spread of the mutant clones over large fields, and thereby prevented the formation of tumours [10]. ...

Reference:

15th Annual ENBDC Meeting: How do Cellular Potency, Microenvironment and Natural Rhythms Influence Mammary Gland Biology and Breast Cancer?
Mechanisms that clear mutations drive field cancerization in mammary tissue

Nature

... To the best of our knowledge, this is the first report of co-occurring PVs in TP53 and CHEK2 in a pediatric cancer patient. Double heterozygous PVs in both genes are extremely rare in adults but have previously been reported, e. g., in breast cancer patients [23]. ...

Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset
  • Citing Article
  • August 2024

The American Journal of Human Genetics

... The widest racial and ethnic variation is for HER2-negative cancers. These and age-related differences likely reflect the prevalence of breast cancer risk factors [30][31][32] and mammography use, 33 as well as genetic variation and family history. 34,35 The incidence of HR-positive/HER2-negative cancer, which typically has the best prognosis, follows the same racial and ethnic pattern as breast cancer overall among women aged 20 years and older, with the highest rate in White women and the lowest in Hispanic women. ...

Risk factors for breast cancer subtypes by race and ethnicity: A scoping review
  • Citing Article
  • July 2024

JNCI Journal of the National Cancer Institute

... The new estimates are therefore likely to be more realistic. A recent validation study in BRCA1 and BRCA2 PV carriers suggests that this model provides well-calibrated risks in both BRCA2 PV carriers under and over the age of 50 years [9]. ...

Validation of the BOADICEA model in a prospective cohort of BRCA1/2 pathogenic variant carriers

Journal of Medical Genetics

... Using pedigree information from 609 CHEK2 c.1100delC families, we studied whether families are at risk of other cancers in addition to the breast. 30 In this study, we found an increased risk of colorectal cancer and haematological cancers for women from CHEK2 c.1100delC families. Even though there seems to be an underreporting of cancer in the male relatives in this study, we also found an increased risk of breast cancer and colorectal cancer in men. ...

Cancer risks for other sites in addition to breast in CHEK2 c.1100delC families
  • Citing Article
  • May 2024

Genetics in medicine: official journal of the American College of Medical Genetics

... These include IFNGR1, TNFRSF19L, GHR, SLAMF8, FR-beta, and integrin alpha 5 (Wu et al., 2019;Dotta et al., 2020). The advent of medical informatics has introduced novel avenues for resolving clinical challenges and providing innovative methods for tumor diagnosis and treatment (Rojas-Rodriguez, Schmidt & Canisius, 2024). ...

Assessing the validity of driver gene identification tools for targeted genome sequencing data
  • Citing Article
  • May 2024

Bioinformatics Advances

... One of the most relevant aspects of PRS is their ability to correlate genetic risk with specific tumor characteristics. As highlighted in the study by Lopes Cardozo et al., PRS not only predicts the likelihood of developing BC but is also associated with specific tumor features, such as subtype and cancer aggressiveness [48] . This association can be particularly useful for personalizing treatment, enabling clinicians to adopt more targeted strategies based on each patient's genetic profile and contributing a small amount to an individual's overall risk of developing BC. ...

Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction

... Likewise, increased rates of local recurrence and distant recurrence have been reported for involved margins after mastectomy [31]. For patients with carcinoma in situ, margin involvement is associated with a higher risk of local recurrence and ipsilateral breast cancer [32]. Evidence on the im- Fig. 2 Kaplan-Meier estimates on overall survival for patients with invasive breast cancer. ...

Association of DCIS size and margin status with risk of developing breast cancer post-treatment: multinational, pooled cohort study

The BMJ

... suggest that an OR ≥ 4.0 is assigned at full strength for a statistically significant association with CI not including 2.0 2 . As an initiative of the ENIGMA Analytical Working Group, we have recently proposed a LR-based framework for the analysis of case-control data for variant classification, where derived LRs are applicable under the ACMG/AMP framework for variant classification 7 . Compared to ORs derived by logistic regression analysis, the LR-based framework has vastly improved performance to provide evidence towards pathogenicity, and more importantly, it can also be used to derive evidence against . ...

A Likelihood Ratio Approach for Utilizing Case-Control Data in the Clinical Classification of Rare Sequence Variants: Application to BRCA1 and BRCA2

... Vyrams ji aptinkama retai [3]. Ilgalaikis estrogenų ir progestinų pakaitinės hormonų terapijos vartojimas po menopauzės susijęs su padidėjusia LCIS rizika [7]. LCIS patogenezė vis dar nevisiškai išaiškinta, nors plačiai pripažįstama, kad ji yra invazinės lobulinės karcinomos (ILC) ir invazinės duktalinės karcinomos (IDC) pirmtakė. ...

DCIS and LCIS: Are the Risk Factors for Developing In Situ Breast Cancer Different?