Primary Ductal Carcinoma In Situ Research Articles

Abstract PS03-07: Morphometric signature identifies ductal carcinoma in situ of the breast with low risk of progression to invasive breast cancer

Abstract Background. Ductal carcinoma in situ (DCIS) is a frequently found precursor of invasive breast cancer (IBC). However, the majority of DCIS will never progress to IBC. As we cannot distinguish yet which DCIS will remain indolent (‘harmless’) from those that might progress in the future to IBC, almost all women with DCIS are intensively treated by surgery, often followed by radiotherapy. This brings an urgent clinical need to learn distinguishing harmless from potentially progressive DCIS to save many women with indolent DCIS the burden of unnecessary overtreatment. Aim. We aimed to investigate if the geometry and spatial configuration of DCIS ducts in Hematoxylin-Eosin (H&E) stained tissue sections are related to the risk of progression of DCIS to ipsilateral IBC (iIBC). Methods. We obtained data from a population-based cohort of women diagnosed with primary DCIS between 1989 and 2004 in the Netherlands, treated with breast conserving surgery (BCS) only and a median follow-up time of 12 years. A nested case-control study (n=689) was designed in which patients diagnosed with iIBC recurrences during follow-up were considered as “cases” (n= 226) and those with no subsequent iIBC as “controls” (n=463). The DCIS and stroma regions were digitally annotated on H&E-stained whole slide images (WSIs) by a pathologist as ground truth for the deep learning neural network of HALO AI module (IndicaLabs). We developed a computational pipeline to automatically detect and measure stroma areas, DCIS ducts, and the nucleus of their cells. We validated the accuracy of DCIS detection in H&Es WSIs from an external study, in which DCIS regions were digitally annotated by an independent pathologist (Translational Breast Cancer Research Consortium, TBCRC). We classified cases and controls according to morphological measurements using logistic ridge regression with double-loop cross-validation, followed by hierarchical clustering. The risk of subsequent iIBC after primary DCIS diagnosis was evaluated by multivariate Cox proportional hazards models. Results. The accuracy of DCIS detection performed by the computational pipeline was compared with pathologist annotations in 20 slides from the TBCRC study. Results showed a satisfactory DCIS overlap area agreement of 0.76 (0.68 – 0.83). We applied the DCIS computational pipeline on the case-control series. We obtained 15 morphological measurements for each DCIS duct, such as duct area, cell density, distance between ducts, average nucleus area, etc. We calculated 8 distribution parameters from each measurement in each WSI, including median and range. After leaving out redundant variables, 55 unique morphometric variables were obtained, representing the heterogeneity of DCIS ducts per WSI. The c lassifier revealed a median area-under the curve (AUC) of 0.66 (0.55-0.77) to predict 5-years free of iIBC, 0.59 (0.50-0.67) to predict 10-years and 0.60 (0.52-0.68) to predict 15-years. The 30 variables with the highest association with outcome were used to build four morphometric signatures. Signature number 1, which is characterized by lesions with small-sized ducts, a lower number of cells and a lower DCIS/stroma area ratio, showed a significant lower risk of developing iIBC compared to the other three signatures in a multivariate Cox regression model including grade, ER, COX-2 and HER2 expression: HR = 0.56 (0.28-0.78 95%CI). Conclusion. We developed a computational pipeline able to detect and measure DCIS ducts in H&E WSIs with high accuracy and reproducibility. DCIS lesions presenting the morphometric signature of small-sized DCIS ducts have a very low chance to progress to invasive breast cancer. After successful validation, our morphometric method will serve as a robust and easy to implement biomarker for de-escalation strategies in DCIS, and as such, could limit unnecessary overtreatment in the near future. Citation Format: Marcelo Sobral-Leite, Simon Castillo, Shiva Vonk, Xenia Melillo, Noomie Lam, Brandi de Bruijn, Yeman Hagos, Joyce Sanders, Mathilde Almekinders, Lindy Visser, Emilie Groen, Carolien Van der Borden, Petra Kristel, Ercan Caner, Leyla Azarang, Yinyin Yuan, Renee Menezes, Esther Lips, Jelle Wesseling, Grand Challenge PRECISION Consortium. Morphometric signature identifies ductal carcinoma in situ of the breast with low risk of progression to invasive breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PS03-07.

Mode of Detection of Second Breast Cancers in Patients Undergoing Surveillance After Treatment of Ductal Carcinoma in Situ.

For patients undergoing posttreatment surveillance after ductal carcinoma in situ (DCIS), the NCCN Guidelines for Breast Cancer recommend annual breast imaging and physical examination every 6 to 12 months for 5 years, and then annually. The aim of our study was to evaluate the modes of detection (imaging, patient reported, or physical examination) of second cancers in a cohort of patients undergoing surveillance after primary DCIS treatment to better inform surveillance recommendations. We performed a retrospective cohort study of patients with DCIS treated between January 1, 2008, and December 31, 2011, within a large integrated health care system. Information on patient demographics, index DCIS treatment, tumor characteristics, and mode of detection of second breast cancer was obtained from the electronic health record or chart review. Our study cohort consisted of 1,550 women, with a median age of 59 years at diagnosis. Surgical treatment of DCIS included lumpectomy (75.0%; n=1,162), unilateral mastectomy (21.1%; n=327), or bilateral mastectomy (3.9%; n=61), with or without sentinel lymph node biopsy. Additionally, 44.4% (n=688) and 28.3% (n=438) received radiation and endocrine therapies, respectively. Median follow-up was 10 years, during which 179 (11.5%) women were diagnosed with a second breast cancer. Of the second cancers, 43.0% (n=77) were ipsilateral and 54.8% (n=98) contralateral, and 2.2% (n=4) presented with distant metastases; 61.5% (n=110) were invasive, 36.3% (n=65) were DCIS, and 2.2% (n=4) were Paget's disease. Second breast cancers were imaging-detected in 74.3% (n=133) of cases, patient-detected in 20.1% (n=36), physician-detected in 2.2% (n=4), and detected incidentally on imaging or pathology from procedures unrelated to oncologic care in 3.4% (n=6). In our cohort of patients undergoing surveillance following diagnosis and treatment of DCIS, 2% of second breast cancers were detected by a clinical breast examination. This suggests that survivorship care should prioritize mammography and patient education regarding breast self-examination and symptoms that warrant evaluation to detect second breast cancers.

The effects of contemporary treatment of DCIS on the risk of developing an ipsilateral invasive Breast cancer (iIBC) in the Dutch population

PurposeTo assess the effects of contemporary treatment of ductal carcinoma in situ (DCIS) on the risk of developing an ipsilateral invasive breast cancer (iIBC) in the Dutch female population.MethodsClinical data was obtained from the Netherlands Cancer Registry (NCR), a nationwide registry of all primary malignancies in the Netherlands integrated with the data from PALGA, the Dutch nationwide network and registry of histo- and cytopathology in the Netherlands, on all women in the Netherlands treated for primary DCIS from 2005 to 2015, resulting in a population-based cohort of 14.419 women. Cumulative iIBC incidence was assessed and associations of DCIS treatment type with subsequent iIBC risk were evaluated by multivariable Cox regression analyses.ResultsTen years after DCIS diagnosis, the cumulative incidence of iIBC was 3.1% (95% CI: 2.6–3.5%) in patients treated by breast conserving surgery (BCS) plus radiotherapy (RT), 7.1% (95% CI: 5.5–9.1) in patients treated by BCS alone, and 1.6% (95% CI: 1.3–2.1) in patients treated by mastectomy. BCS was associated with a significantly higher risk for iIBC compared to BCS + RT during the first 5 years after treatment (HR 2.80, 95% CI: 1.91–4.10%). After 5 years of follow-up, the iIBC risk declined in the BCS alone group but remained higher than the iIBC risk in the BCS + RT group (HR 1.73, 95% CI: 1.15–2.61).ConclusionsAlthough absolute risks of iIBC were low in patients treated for DCIS with either BCS or BCS + RT, risks remained higher in the BCS alone group compared to patients treated with BCS + RT for at least 10 years after DCIS diagnosis.

Ductal Carcinoma Arising in a Squamous Epithelial Inclusion Cyst within an Axillary Lymph Node: A Challenging Nodal Metastasis

Introduction. Assessment of axillary lymph nodes in breast carcinoma is an important part of staging to guide appropriate clinical management. Lymph node inclusions of different types, including nevoid, squamous, and glandular, are rare but have been reported in multiple different anatomic locations including the axilla. These can result in diagnostic challenges and pose risks of misdiagnoses. Rarely, malignancies may arise intrinsic to otherwise incidental benign nodal inclusions. Case Presentation. We report a case of ductal carcinoma diagnosed within a squamous epithelial inclusion cyst within an axillary lymph node in a patient with pure ductal carcinoma in situ (DCIS) of the ipsilateral right breast. To our knowledge, this is the fifth report in the literature of breast carcinoma confirmed within an axillary inclusion in a patient with pure DCIS. Evaluation of the primary DCIS and lymph node inclusions, by routine and immunohistochemical stains, was performed for assessment. Discussion. The presence of lymph node inclusions can pose a challenge in assessment of benignity and malignancy, on frozen and permanent histologic sections. Pathologists should carefully evaluate lymph node inclusions to ensure that intrinsic malignancies are not missed within rare otherwise benign appearing incidental epithelial rests.

Misleading images of ductal carcinoma in situ: 4 lymph nodes with metastasis

Since sentinel lymph node examination became routine, findings of benign ectopic breast tissue in lymph nodes have increased. We report images of ductal carcinoma in situ (DCIS) in four lymph nodes in a 76-year-old woman with bilateral breast carcinoma. The right lumpectomy showed intermixed invasive lobular and ductal carcinoma, plus DCIS. 19 nodes were isolated in the axillary lymphadenectomy, 4 of which displayed solid and cribriform DCIS. Myosin and p63 immunohistochemical techniques were positive, suggesting an erroneous diagnosis of “metastatic DCIS”. A further three cases of DCIS in lymph nodes have been previously reported, all with a distinct layer of myoepithelial cells with actin, myosin or p63. Biologically, these images of DCIS in lymph nodes are not credible and three major hypotheses have been proposed to explain these findings: Iatrogenic Mechanical Transport, Revertant DCIS, and primary DCIS of lymph nodes. We consider the first one the most plausible explanation. Our case is unique as several, rare findings are simultaneously observed. More new cases, together with additional immunohistochemical techniques and molecular testing on previous cases, are needed to find a definitive explanation of this histologic finding.

Archival single-cell genomics reveals persistent subclones during DCIS progression

Ductal carcinoma in situ (DCIS) is a common precursor of invasive breast cancer. Our understanding of its genomic progression to recurrent disease remains poor, partly due to challenges associated with the genomic profiling of formalin-fixed paraffin-embedded (FFPE) materials. Here, we developed Arc-well, a high-throughput single-cell DNA-sequencing method that is compatible with FFPE materials. We validated our method by profiling 40,330 single cells from cell lines, a frozen tissue, and 27 FFPE samples from breast, lung, and prostate tumors stored for 3-31 years. Analysis of 10 patients with matched DCIS and cancers that recurred 2-16 years later show that many primary DCIS had already undergone whole-genome doubling and clonal diversification and that they shared genomic lineages with persistent subclones in the recurrences. Evolutionary analysis suggests that most DCIS cases in our cohort underwent an evolutionary bottleneck, and further identified chromosome aberrations in the persistent subclones that were associated with recurrence.

Subtypes of high-grade breast ductal carcinoma in situ (DCIS): incidence and potential clinical impact

ObjectiveThe purpose of this study was to investigate and classify the molecular subtypes of high-grade ductal carcinoma in situ (DCIS) and identify possible high-risk subtypes. The heterogenicity of DCIS with variable clinical and histopathological presentations has been recognized. Nevertheless, only histopathological grading and diameter are currently implemented in clinical decision-making following the diagnosis of DCIS. The molecular subtypes of DCIS and their IHC surrogate markers have not been defined in conventional treatment guidelines and recommendations. We applied the definitions of molecular subtypes according to the IHC surrogate markers defined for IBC and subclassified high-grade DCIS, accordingly.MethodsHistopathological specimens were collected, revised, and regraded from 494 patients diagnosed with DCIS between 1996 and 2018. Other in situ and papillary lesions observed in breast biopsies were excluded from this study. 357 high-grade DCIS cases were submitted to IHC analysis. The markers investigated were ER, PR, HER2, and Ki67.Results45 cases were classified as grade 1, 19 as grade 2, and 430 as grade 3. Sixty patients with high-grade DCIS had an additional invasive component in the surgical specimen. Thirty-three patients were diagnosed with recurrent DCIS or invasive cancer (minimum one year after their primary DCIS diagnosis). The proportions of luminal A and luminal B HER2-negative subtypes varied depending on whether 2011 or 2013 St. Gallen Consensus Conference guidelines were adopted. Luminal A was the most prevalent subtype, according to both classifications. The luminal B HER2-positive subtype was found in 22.1% of cases, HER2-enriched subtype in 21.8%, and TPN subtype in 5.6%. There were strong indications that HER2-enriched subtype was significantly more frequent among DCIS with invasive component (p = 0.0169).ConclusionsHigh-grade DCIS exhibits all the molecular subtypes previously identified in IBC, but with a somewhat different distribution in our cohort. HER2-enriched subtype is substantially related to the presence of an invasive component in DCIS; consequently, it is regarded as a high-risk entity.

Surveillance Imaging after Primary Diagnosis of Ductal Carcinoma in Situ.

Background Guidelines recommend annual surveillance imaging after diagnosis of ductal carcinoma in situ (DCIS). Guideline adherence has not been characterized in a contemporary cohort. Purpose To identify uptake and determinants of surveillance imaging in women who underwent treatment for DCIS. Materials and Methods A stratified random sample of women who underwent breast-conserving surgery for primary DCIS between 2008 and 2014 was retrospectively selected from 1330 facilities in the United States. Imaging examinations were recorded from date of diagnosis until first distant recurrence, death, loss to follow-up, or end of study (November 2018). Imaging after treatment was categorized into 10 12-month periods starting 6 months after diagnosis. Primary outcome was per-period receipt of asymptomatic surveillance imaging (mammography, MRI, or US). Secondary outcome was diagnosis of ipsilateral invasive breast cancer. Multivariable logistic regression with repeated measures and generalized estimating equations was used to model receipt of imaging. Rates of diagnosis with ipsilateral invasive breast cancer were compared between women who did and those who did not undergo imaging in the 6-18-month period after diagnosis using inverse probability-weighted Kaplan-Meier estimators. Results A total of 12 559 women (median age, 60 years; IQR, 52-69 years) were evaluated. Uptake of surveillance imaging was 75% in the first period and decreased over time (P < .001). Across the first 5 years after treatment, 52% of women participated in consistent annual surveillance. Surveillance was lower in Black (adjusted odds ratio [OR], 0.80; 95% CI: 0.74, 0.88; P < .001) and Hispanic (OR, 0.82; 95% CI: 0.72, 0.94; P = .004) women than in White women. Women who underwent surveillance in the first period had a higher 6-year rate of diagnosis of invasive cancer (1.6%; 95% CI: 1.3, 1.9) than those who did not (1.1%; 95% CI: 0.7, 1.4; difference: 0.5%; 95% CI: 0.1, 1.0; P = .03). Conclusion Half of women did not consistently adhere to imaging surveillance guidelines across the first 5 years after treatment, with racial disparities in adherence rates. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Rahbar and Dontchos in this issue.

Abstract A016: Identification of methylated regions in ductal carcinoma in situ and association with disease progression

Abstract Background: The advent of breast screening has led to a 4-fold increase in the diagnosis of ductal carcinoma in situ (DCIS). Studies following the clinical outcomes of patients show variable progression free survival rates, with only up to 35% of patients progressing to invasive disease without treatment. This highlights the need to find a biomarker to accurately predict which DCIS lesions will recur as invasive tumors. Epigenetics changes are events which occur early in tumorigenesis, this makes DNA methylation a potential biomarker of DCIS progression. However, a lack of DCIS methylation profiling with long term follow-up data exists. This study investigates genome-wide methylation profiles in women with primary DCIS and associates the data with their overall recurrence free survival. Methods: DCIS was macrodissected from 89 formalin-fixed paraffin embedded (FFPE) to extract tumor enriched DNA from patients with DCIS and long term follow up. 39 women had developed an ipsilateral invasive recurrence (classified as cases) and 50 had no evidence of recurrent disease (classified as controls). Genome wide methylation was assessed using the human methylation EPIC BeadChip which, interrogates over 850,000 methylation sites. Data was assessed for quality both at the sample and probe level by the wateRmelon. Further analysis was performed in ChAMP to identify differentially methylated regions (DMR) and by DMRcate packages in R to identify variably methylated regions (VMR). Genes annotated in the most significant VMRs were analysed through Metascape, a web-based tool to perform functional gene set enrichment analysis (GSEA). A cox proportional hazards model was used to calculate the association between the methylation of the VMRs and recurrence free survival. This model was adjusted for DCIS receptor status and grade. Results: 59 samples passed data quality assessment (35 controls and 24 cases). 10 differentially methylated regions were identified. The most significant of which, was a hypomethylated region on chromosome 4, containing CDKL2 (p = 0.001), known to promote the epithelial-mesenchymal transition in breast cancer progression. 5813 VMRs were identified across the genome, (P-value range between 0 and 10-321). 82% of the VMRs aligned to the body of the gene or the surrounding regulatory features. GSEA revealed that VMRs were predominantly involved in pathways involved in cell adhesion (GO:0007156) Assessment of the significant VMRs by COX proportional hazards model showed that a VMR on chromosome 6p was associated with the development of invasive disease after adjusting for oestrogen receptor, human epidermal growth factor 2 status and grade (p=0.001). Conclusions: This preliminary study shows altered sites of methylation could be observed across the genome, in DCIS. The function of the VMRs is currently being investigated to understand how methylation in this region predisposes to invasive recurrence of DCIS. Correlation of methylation status and RNA expression data will be used to understand the biological relevance. Citation Format: Vandna Shah, Maria Roman-Escorza, Karen Clements Clements, Lennart Mulder, Esther H. Lips, Jelle Wesseling, Sarah Pinder, Alastair M. Thompson, Elinor J. Sawyer. Identification of methylated regions in ductal carcinoma in situ and association with disease progression [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr A016.

Abstract A017: Epigenetic activation of SOX11 is associated with recurrence and progression of DCIS to invasive breast cancer

Abstract Background: Screening mammography has dramatically increased incidental detection of Ductal Carcinoma in situ (DCIS), a non-obligate precursor of breast cancer. Approximately 10-50% of DCIS progress to the invasive disease and the risk of developing recurrence or progression after surgery is still not well defined based on clinical and pathological characteristics. Our study investigated the genetic and epigenetic mechanisms associated with recurrence and progression of DCIS to invasive cancer. Methods: To identify genes associated with recurrence and progression of DCIS to invasive cancer, we performed Nanostring nCounter analysis (MDACC, n = 40) and RNA-sequencing (Sloane study, n = 183) in two independent prospective primary DCIS cohorts. Mammary epithelial-specific Pten knockout mouse model developed in our lab was used to interrogate the genetic pathway deregulated during development of mammary intraepithelial neoplasia to adenocarcinoma. ATAC-seq and ChIP-qPCR were performed to assess chromatin accessibility in the genome and validate binding of histone-modifying enzymes on target promoters. Histopathological analyses were performed to determine DCIS grades, subtypes, and protein expression profiles. Results: RNA expression profiles of normal mammary and primary DCIS tissues (n = 40) identified 10 gene transcripts that were significantly and differentially expressed between normal and high-grade DCIS. Only SOX11 expression was significantly and progressively correlated with KI67 and the DCIS recurrence score as described by Solin (JNCI 2013). Mammary intraepithelial neoplasia in Pten knockout mice and 21T DCIS to IDC progression cell line model also revealed SOX11 upregulation compared to controls. Since PTEN/PI3K/AKT pathway is known to regulate global active histone marks and open accessible chromatin, we investigated the role of AKT on SOX11 expression. Results demonstrated that inhibition of AKT altered enrichment of histone-modifying enzymes KDM5A and EZH2 on the promoter accompanying downregulated SOX11 expression in DCIS cell lines. SOX11 and EZH2 expression profiles revealed significant correlation in DCIS tissue samples. In two independent DCIS cohorts, SOX11 was found significantly upregulated in HER2+ and basal-like DCIS subtypes (P &amp;lt; 0.001). RNA sequencing in 183 longitudinal DCIS cases of the Sloane study (median follow-up of 96 months) revealed significantly shorter recurrence-free survival in SOX11+ than SOX11- patients (P &amp;lt; 0.02 in all subtypes; P = 0.002 in HER2+ subtype). Based on COX proportional hazards model, SOX11 alone was significantly associated with the risk of developing recurrence and invasive breast cancer (HR = 1.7, 95% CI = 1.1 to 2.6; P &amp;lt; 0.02). Conclusions: Epigenetic activation of SOX11 is associated with recurrence and progression of DCIS to invasive breast cancer. SOX11 and its epigenetic regulators can be developed as prognostic markers for DCIS patients with recurrence risk independent of traditional clinical and pathologic characteristics. Citation Format: Warapen Treekitkarnmongkol, Vandna Shah, Kazuharu Kai, Hiroshi Katayama, Justin W. Wong, Farah A Ladha, Brian Menegaz, Sarah E. Pinder, Wei Lu, Fei Yang, Ximing Tang, Savitri Krishnamurthy, Ignacio I. Wistuba, Elinor J. Sawyer, Alastair M. Thompson, Subrata Sen. Epigenetic activation of SOX11 is associated with recurrence and progression of DCIS to invasive breast cancer [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr A017.

Abstract PR002: Genomic predictor can discriminate between high- and low-risk DCIS

Abstract Introduction: Ductal carcinoma in situ (DCIS) is considered a non-obligate precursor of invasive ductal carcinoma. With the aim of preventing a subsequent invasive cancer, all DCIS lesions are currently treated with surgical excision often supplemented with radiotherapy (RT). To prevent DCIS over- or undertreatment, a reliable marker of DCIS invasiveness risk is urgently needed. Methods: We studied two large DCIS cohorts: the Sloane cohort, a prospective breast screening cohort from the UK (median follow-up of 11 years), and a Dutch population-based cohort (NKI, median follow-up of 13 years). FFPE tissue specimens from patients with pure primary DCIS after breast-conserving surgery (BCS) +/- RT that did develop a subsequent ipsilateral event (DCIS or invasive) were considered as cases, whereas patients that did not develop any form of recurrence up to the last follow-up or death were considered as controls. We performed copy number analysis (CNA) and RNAseq analysis on 229 cases (80 DCIS only recurrences) and 344 controls. Results: DCIS was classified into the PAM50 subtypes using RNAseq data which revealed an enrichment of luminal A phenotype in DCIS that did not recur (P = 0.01, Fisher Exact test). No single copy number aberration was more common in cases compared to controls. RNAseq data did not reveal any genes significantly over/under-expressed in cases versus controls after FDR correction. However, by limiting the analysis to samples that had not had RT and excluding pure DCIS recurrences, we could develop a penalized Cox model from RNAseq data. The model was trained on weighted samples (to correct for the biased sampling of the case-control dataset) from the NKI series with double loop cross-validation. The genes were selected using the Elastic net framework of penalization. Using this predicted hazard ratio, the samples were split into high, medium, and low-risk quantiles, with a recurrence risk of 23%, 7% and 2%, respectively at 5 years (p = 10-10, Wald test). The NKI-trained predictor was independently validated in the Sloane No RT no DCIS recurrence cohort (p = 0.02, Wald test). GSEA analysis revealed proliferation hallmarks enriched in the recurrence predictor (FDR = 0.058). The RNAseq predictor was more predictive of recurrence than PAM50, clinical features (Grade, Her2 and ER) and the 12-gene Oncotype DCIS score (p &amp;lt; 0.001, permutation test using the Wald statistic) in both the NKI and Sloane series. Conclusion: Genomic profiling of two independent series of DCIS with outcome data did not reveal any clear associations with recurrence until analysis was limited to a set of samples who had not had radiotherapy and DCIS recurrences were excluded. We then identified an RNAseq-based classifier that could differentiate primary DCIS in low-, medium-, and high-risk groups, and validated it in an independent cohort. This classifier, if validated in other datasets, will allow us to identify women who do not need intensive treatment for their DCIS. Citation Format: Maria Roman Escorza, Michael Sheinman, Tycho Bismeijer, Ahmed A. Ahmed, Vandna Shah, Jeffrey R. Marks, Lorraine M. King, Anargyros Megalios, Lindy L. Visser, Marlous Hoogstrat, Helen R. Davies, Tapsi Kumar, Deborah Collyar, Hilary Stobart, Sarah Pinder, Nicholas N. Navin, Andrew Futreal, Serena Nik-Zainal, E. Shelley Hwang, Esther H. Lips, Alastair Thompson, Lodewyk F.A. Wessels, Jelle Wesseling, Elinor J. Sawyer. Genomic predictor can discriminate between high- and low-risk DCIS [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr PR002.

Abstract PR006: A living biobank of patient-derived ductal carcinoma in situ (DCIS) Mouse-INtraDuctal (MIND) xenografts identifies multiple risk factors of invasive progression

Abstract Ductal Carcinoma in Situ (DCIS) is a non-invasive non-obligate precursor of invasive breast cancer (IBC). DCIS is usually treated by surgery combined with radiotherapy, which can have a large impact on the life of patients. However, many of these DCIS lesions would never progress into IBC. To reduce the overtreatment of DCIS, but assure proper treatment for high risk DCIS, it is crucial to understand the biology underlying DCIS. To study the biology of DCIS we established Mouse INtraDuctal (MIND) patient-derived xenograft (PDX) models by intraductally injecting patient DCIS material into the mammary ducts of female immunocompromised mice. We engrafted 130 samples, which have been incubated in vivo for a period of 12 months. We obtain a take rate of 88% with 46% of our models showing invasive progression. Histology and molecular subtyping by PAM50 classification are well preserved in the MIND models compared to the primary counterpart, ensuring that our MIND models represent the patient disease well. For 102 primary samples we obtained RNAseq profiles as well as for 64 matched MIND-PDX models. In addition whole exome-/panel sequencing data is generated from the same primary DCIS samples together with 12 matched MIND-PDX WES profiles as well as 60 matched Copy Number Variation (CNV) MIND-PDX profiles. Together these data revealed multiple biomarkers related to invasive progression, including factors such as high grade, solid growth, a high copy number aberrations burden, HER2, PTK6 &amp; MYC amplifications and a high Ki67. On top of this we used whole mount imaging of the injected mammary glands extracted from our MIND-PDX models, showing two distinct growth patterns correlated with invasion. And as this is all done in the context of the PRECISION consortium this allows us to confirm and validate our findings in larger sequencing and imaging efforts of human samples. We have also successfully passaged 42 MIND-PDX models which showed minimal changes in pheno- and genotype over time indicating invasive behavior is an intrinsic phenotype of DCIS with minimal evolution, supporting a multiclonal evolution model. Moreover, this provided a collection of 19 stable sequentially transplantable DCIS MIND models including Luminal A, Luminal B, ER+/HER2+ and ER-/HER2+ models. Ultimately these models can be used to validate the biomarkers found to be related to invasive progression, as an example we proved the direct role of HER2 overexpression in invasive progression by inhibiting the HER2 receptor or by overexpressing HER2. In conclusion all this data together enabled us to create a well-characterized biobank of DCIS models with the unique opportunity to follow the natural progression, sequentially transplant 42 models, find genomic and transcriptomic profiles related to high risk DCIS and manipulate gene expression to validate the role of genes in DCIS progression. Citation Format: Stefan J. Hutten, Roebi de Bruijn, Catrin Lutz, Madelon Badoux, Timo Eijkman, Xue Chao, Marta Ciwinska, Andrea Herencia-Ropero, Petra Kristel, Lennart Mulder, Joyce Sanders, Mathilde Almekinders, Alba Llop-Gueverra, Helen R. Davies, Fariba Behbod, Serena Nik-Zainal, Violeta Serra, Jacco van Rheenen, Esther H. Lips, Lodewyk F.A. Wessels, Jelle Wesseling, Colinda Scheele, Jos Jonkers. A living biobank of patient-derived ductal carcinoma in situ (DCIS) Mouse-INtraDuctal (MIND) xenografts identifies multiple risk factors of invasive progression [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr PR006.

Clinical value of contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: a population-based cohort study

ObjectivesFor patients with ductal carcinoma in situ (DCIS), data about the impact of breast MRI at primary diagnosis on the incidence and characteristics of contralateral breast cancers are scarce.MethodsWe selected all 8486 women diagnosed with primary DCIS in the Netherlands in 2011–2015 from the Netherlands Cancer Registry. The synchronous and metachronous detection of contralateral DCIS (cDCIS) and contralateral invasive breast cancer (cIBC) was assessed for patients who received an MRI upon diagnosis (MRI group) and for an age-matched control group without MRI.ResultsNineteen percent of patients received an MRI, of which 0.8% was diagnosed with synchronous cDCIS and 1.3% with synchronous cIBC not found by mammography. The 5-year cumulative incidence of synchronous plus metachronous cDCIS was higher for the MRI versus age-matched control group (2.0% versus 0.9%, p = 0.02) and similar for cIBC (3.5% versus 2.3%, p = 0.17). The increased incidence of cDCIS was observed in patients aged < 50 years (sHR = 4.22, 95% CI: 1.19–14.99), but not in patients aged 50–74 years (sHR = 0.89, 95% CI: 0.41–1.93).ConclusionsMRI at primary DCIS diagnosis detected additional synchronous cDCIS and cIBC, and was associated with a higher rate of metachronous cDCIS without decreasing the rate of metachronous cIBC. This finding was most evident in younger patients.Key Points• Magnetic resonance imaging at primary diagnosis of ductal carcinoma in situ detected an additional synchronous breast lesion in 2.1% of patients.• In patients aged younger than 50 years, the use of pre-operative MRI was associated with a fourfold increase in the incidence of a second contralateral DCIS without decreasing the incidence of metachronous invasive breast cancers up to 5 years after diagnosis.• In patients aged over 50 years, the use of pre-operative MRI did not result in a difference in the incidence of a second contralateral DCIS or metachronous invasive breast cancer.

Prediction Models and Decision Aids for Women with Ductal Carcinoma In Situ: A Systematic Literature Review.

Simple SummaryDuctal carcinoma in situ (DCIS) is a potential precursor to invasive breast cancer (IBC). Although in many women DCIS will never become breast cancer, almost all women diagnosed with DCIS undergo surgery with/without radiotherapy. Several studies are ongoing to de-escalate treatment for DCIS. Multiple decision support tools have been developed to aid women with DCIS in selecting the best treatment option for their specific goals. The aim of this study was to identify these decision support tools and evaluate their quality and clinical utility. Thirty-three studies were reviewed, in which four decision aids and six prediction models were described. While some of these models might be promising, most lacked important qualities such as tools to help women discuss their options or good quality validation studies. Therefore, the need for good quality, well validated decision support tools remains unmet.Even though Ductal Carcinoma in Situ (DCIS) can potentially be an invasive breast cancer (IBC) precursor, most DCIS lesions never will progress to IBC if left untreated. Because we cannot predict yet which DCIS lesions will and which will not progress, almost all women with DCIS are treated by breast-conserving surgery +/− radiotherapy, or even mastectomy. As a consequence, many women with non-progressive DCIS carry the burden of intensive treatment without any benefit. Multiple decision support tools have been developed to optimize DCIS management, aiming to find the balance between over- and undertreatment. In this systematic review, we evaluated the quality and added value of such tools. A systematic literature search was performed in Medline(ovid), Embase(ovid), Scopus and TRIP. Following the PRISMA guidelines, publications were selected. The CHARMS (prediction models) or IPDAS (decision aids) checklist were used to evaluate the tools’ methodological quality. Thirty-three publications describing four decision aids and six prediction models were included. The decision aids met at least 50% of the IPDAS criteria. However, most lacked tools to facilitate discussion of the information with healthcare providers. Five prediction models quantify the risk of an ipsilateral breast event after a primary DCIS, one estimates the risk of contralateral breast cancer, and none included active surveillance. Good quality and external validations were lacking for all prediction models. There remains an unmet clinical need for well-validated, good-quality DCIS risk prediction models and decision aids in which active surveillance is included as a management option for low-risk DCIS.

Abstract 43: Predictive biomarkers of recurrence may not be useful for deescalating treatment of breast ductal carcinoma in situ due to de novo ipsilateral breast carcinoma development

Abstract Introduction: Up to 25% of cases of ductal carcinoma in situ (DCIS) recur, and half of these recur as invasive breast cancer (IBC). There is no biomarker to predict which DCIS cases will recur but it has been suggested that a biomarker would allow de-escalation of the current paradigm of treating most patients with surgery and/or radiotherapy. However, we hypothesize that not all recurrences are genetically similar to the primary DCIS (i.e. non-clonal) and therefore arise de novo. To test this we assembled a large recurrence cohort to explore the clonal relatedness of primary-recurrence tumor pairs prior to proposing a predictive biomarker (Gorringe et al Mod Pathol 2015). Method: We microdissected and extracted DNA from 65 pairs of primary DCIS and recurrences. Half of these recurrences were IBC. We analyzed 21 pairs by targeted sequencing or low-coverage whole-genome sequencing (LCWGS, 2x depth) and 44 pairs with Whole Exome Sequencing (WES, average depth 95x). We similarly analyzed a set of non-recurrent DCIS cases (n=29) treated with wide local excision and with a minimum of 7 years follow-up. No matched normal samples were available. Several approaches were utilized to investigate clonal relatedness using copy number alterations and mutations (when detected), including the Clonality package (Mauguen et al Biometrics 2018), manual breakpoint inspection (Bollet et al JNCI 2008), and clonality indexes (Schultheis et al JNCI 2016). Phylogenetic analyses were carried out by MEDICC2 (Petkovic et al bioRxiv 2021) on WES samples. Results: 62% of cases were clonal (40/65), 28% were non-clonal. There were 7/65 that were equivocal, although further validation will be performed. There was no significant difference in clonal relatedness whether the recurrence was IBC or DCIS. IBC recurrent cases showed a significantly higher ploidy than the DCIS recurrences. The final phylogenetic analysis with MEDICC2 will be presented, which will take into account any subclonal whole-genome doubling events. Furthermore, clonal primary DCIS showed a significantly higher number of TP53 mutations compared to non-recurrent and non-clonal primaries (p&amp;lt;0.001, Fisher Exact test) and a higher level of copy number events overall. Conclusion: Detailed molecular analysis of a large cohort of matched DCIS primary and their recurrences using high sequencing resolution showed a substantial proportion of recurrences were not genetically related to the primary DCIS. Our observations raise the question of whether a tumor intrinsic biomarker alone would be sufficient to predict DCIS recurrences. Citation Format: Tanjina Kader, Sakshi Mahale, Magnus Zethoven, Hugo Saunders, Dorothea Lesche, David Byrne, Siqi Lai, Lauren Tjoeka, Claire Candido, Maree Pechlevanis, Olivia Craig, Jia-Min Pang, Lisa Devereux, Shona Hendry, Eloise House, Sureshni Jayasinghe, Michael Toss, Islam M. Miligy, Emad Rakha, Stephen Fox, Bruce Mann, Ian Campbell, Kylie Gorringe. Predictive biomarkers of recurrence may not be useful for deescalating treatment of breast ductal carcinoma in situ due to de novo ipsilateral breast carcinoma development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 43.

Mode of detection of second breast cancers in patients undergoing surveillance after treatment of ductal carcinoma in situ.

571 Background: The incidence of ductal carcinoma in situ (DCIS) has increased, resulting in more women undergoing post-treatment surveillance for second breast cancers. National Comprehensive Cancer Network (NCCN) guidelines recommend annual breast imaging and physical exam every 6-12 months for five years, and then annually. We assessed mode of detection (imaging, patient-reported, or physical exam) of secondary DCIS and/or invasive breast cancer in a large cohort of DCIS patients undergoing surveillance after treatment of primary DCIS. Methods: We performed a retrospective cohort study of DCIS patients treated between 1/1/2008 and 1/1/2011 within a large integrated health care system. Patients had a minimum of 5 years of follow up. Patient demographics, treatment for primary DCIS, and tumor characteristics (of both primary DCIS and secondary cancer) were obtained from the electronic health record or from manual chart review. Chart review also included mode of detection of secondary breast cancers. Results: Our study cohort consisted of 1561 women with DCIS, with a median age of 59 years (range 32-92) at time of diagnosis. Among initial DCIS tumors, tumor grade was low/intermediate in 942 (60.3%) and high in 619 (39.7%); 1274 (81.6%) were estrogen receptor positive, and 988 (63.3%) progesterone receptor positive. Surgical treatment for the initial DCIS included lumpectomy (n=1134, 72.6%), unilateral mastectomy (n=320, 20.5%), or bilateral mastectomy (n=61, 3.9%), and included sentinel lymph node biopsy in 211 (14%) of patients. Additionally, 691 (44.3%) received radiation therapy and 440 (28.2%) received endocrine therapy. The cohort was followed for a median of 120 months, during which we identified 179 women (11.5%) with a secondary cancer detected at a median time of 57 months. Of the second breast cancers, 77 (43.0%) were ipsilateral, 98 (54.8%) contralateral, and 4 (2.2%) presented with distant metastases; 110 (61.5%) were invasive, 65 (36.3%) were DCIS, and 4 (2.2%) Paget’s disease. See table for mode of detection of second breast cancers. Conclusions: In our cohort of patients undergoing surveillance following initial diagnosis and treatment of DCIS, 2% of secondary breast cancers were detected by clinical breast exam, a rate similar to incidental detection at time of plastic surgery. These results can help inform future recommendations for surveillance of second breast cancers in DCIS patients. [Table: see text]

Functional Antagonism of Junctional Adhesion Molecule-A (JAM-A), Overexpressed in Breast Ductal Carcinoma In Situ (DCIS), Reduces HER2-Positive Tumor Progression.

Simple SummarySpecific drug targets for breast ductal carcinoma in situ (DCIS) remain elusive, despite increasing disease prevalence and burden to healthcare services. Estrogen receptor (ER)-negative HER2-positive DCIS, associated with the poorest patient prognosis, is in particular need of novel therapeutic avenues. This report provides the first evidence that a cell surface protein called JAM-A is upregulated on human DCIS patient tissues and can be readily targeted by a novel JAM-A-binding peptide inhibitor in separate in vivo models of DCIS. The anti-tumor efficacy and lack of systemic toxicity of this lead inhibitor, coupled with early indications of potential signaling pathways implicated, support the value of future studies investigating JAM-A as a novel drug target in DCIS patients.Breast ductal carcinoma in situ (DCIS) is clinically challenging, featuring high diagnosis rates and few targeted therapies. Expression/signaling from junctional adhesion molecule-A (JAM-A) has been linked to poor prognosis in invasive breast cancers, but its role in DCIS is unknown. Since progression from DCIS to invasive cancer has been linked with overexpression of the human epidermal growth factor receptor-2 (HER2), and JAM-A regulates HER2 expression, we evaluated JAM-A as a therapeutic target in DCIS. JAM-A expression was immunohistochemically assessed in patient DCIS tissues. A novel JAM-A antagonist (JBS2) was designed and tested alone/in combination with the HER2 kinase inhibitor lapatinib, using SUM-225 cells in vitro and in vivo as validated DCIS models. Murine tumors were proteomically analyzed. JAM-A expression was moderate/high in 96% of DCIS patient tissues, versus 23% of normal adjacent tissues. JBS2 bound to recombinant JAM-A, inhibiting cell viability in SUM-225 cells and a primary DCIS culture in vitro and in a chick embryo xenograft model. JBS2 reduced tumor progression in in vivo models of SUM-225 cells engrafted into mammary fat pads or directly injected into the mammary ducts of NOD-SCID mice. Preliminary proteomic analysis revealed alterations in angiogenic and apoptotic pathways. High JAM-A expression in aggressive DCIS lesions and their sensitivity to treatment by a novel JAM-A antagonist support the viability of testing JAM-A as a novel therapeutic target in DCIS.

Tumour-infiltrating lymphocytes add prognostic information for patients with low-risk DCIS: findings from the SweDCIS randomised radiotherapy trial

BackgroundThe immune microenvironment is an important modulator of tumour progression and treatment response. In invasive breast cancer, assessment of tumour-infiltrating lymphocytes (TILs) provides prognostic and predictive information. However, the clinical impact of TILs for ductal carcinoma in situ (DCIS) has not yet been demonstrated. Patients and methodsPost hoc analysis of the SweDCIS randomised radiotherapy trial including primary DCIS cases following breast-conserving surgery. TILs were assessed on haematoxylin-eosin sections (n = 711) according to the International Immuno-Oncology Biomarker Working Group guidelines. TILs-scores were analysed as continuous and dichotomised (≤5% versus >5%) variable regarding ipsilateral breast events (IBEs) as the predefined primary endpoint. ResultsMost women (61.9%) showed a TILs prevalence of ≤5%. High TILs-scores were associated with larger lesion size, human epidermal growth factor receptor 2 (HER2)-positivity, higher nuclear grade, and KI67-score. DCIS cases with high TILs prevalence had a significant increased cumulative IBE incidence at five years post-surgery (TILslow-versus TILshigh 9% versus 18%; p < 0.001). Among patients with HER2-negative DCIS, high TILs remained an independent poor prognosis marker for IBE risk in multivariable analysis with an adjusted hazard ratio of 2.41 [95%CI 1.17–4.95, p = 0.017]. Including TILs-status provided a refined stratification of patients with general low-risk DCIS (grade <3, size <25 mm, free margin). No interaction between TILs and radiotherapy benefits was detected. ConclusionHigh TILs are associated with higher IBE risk over 5-years post-surgery, particularly for HER2-negative DCIS. Our data indicate that TILs should be integrated into the clinical workup to define patients with low-risk DCIS who can omit adjuvant therapy or patients with potential benefits from immunotherapy.

Abstract P3-03-21: Contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: Whart do they mean?

Abstract Background: For patients with ductal carcinoma in situ (DCIS), data about contralateral breast cancers detected by MRI at primary diagnosis and the impact of MRI use on the incidence and stage of contralateral breast cancers during follow-up are scarce. Methods: We selected all women diagnosed with a primary DCIS in the Netherlands in 2011-2015 from the Netherlands Cancer Registry. The synchronous and metachronous detection of contralateral DCIS and contralateral invasive breast cancer was assessed for patients who did receive an MRI upon primary diagnosis (MRI group) and for an age-matched control group without MRI. Incidence of contralateral disease during follow-up was calculated using competing risk methods.Results: Of the 8486 patients diagnosed with primary DCIS, 1571 (19%) received an MRI. In the MRI group, 0.8% of patients were diagnosed with a synchronous contralateral DCIS and 1.3% with synchronous contralateral invasive breast cancer. Median follow-up time was 6.4 years (IQR: 5.1-7.6). The estimated five-year cumulative incidence of synchronous plus metachronous contralateral DCIS was 2.0% (95% CI: 1.4%-2.8%)) for the MRI group and 0.9% (95% CI: 0.5%-1.5%) for the age-matched control group. The five-year cumulative incidence of contralateral invasive breast cancer was 3.5% (95% CI: 2.7%-4.5%) for the MRI group and 2.3% (95% CI: 1.6%-3.1%) for the age-matched control group. In patients aged &amp;lt;50 years, the cumulative incidence of metachronous contralateral DCIS was statistically significantly higher in the MRI group than in the age-matched controls (sHR= 4.22 (95%CI: 1.19-14.99), P=0.03). This was not the case in patients aged 50-74 years (sHR=0.89 (95%CI: 0.41-1.93), P=0.77). Conclusions: MRI led to more frequent detection of synchronous contralateral invasive breast cancers without lowering the number of metachronous contralateral invasive breast cancers. In patients aged below 50 years, MRI added to conventional imaging led to a persisting higher rate of DCIS diagnosed in the opposite breast, also without influencing the occurrence of invasive breast cancers being detected during the first five years of follow-up. Footnotes Citation Format: Kristien Keymeulen, Sandra Geurts, Loes Kooreman, Lucien Duijm, Sanne Engelen, Sigrid Vanwetswinkel, Ernest Luiten, Sabine Siesling, Adri Voogd, Vivianne Tjan-Heijnen. Contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: Whart do they mean? [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-03-21.

Abstract P5-01-01: Intraductal patient-derived xenograft models of ductal carcinoma in situ (DCIS) to distinguish indolent DCIS from aggressive DCIS

Abstract Ductal Carcinoma in Situ (DCIS) is a starting lesion in the milk duct of the breast, which accounts for 25% of all ‘breast cancers’ detected. DCIS is usually treated by surgery combined with radiotherapy, which can have a large impact on the life of patients. However, there is little to no evidence that treatment of low and intermediate grade DCIS reduces mortality, while women diagnosed with DCIS do perceive their risk of dying the same as patients with invasive disease. To reduce the negative perception and the overtreatment of DCIS, but assure proper treatment for high risk DCIS, it is crucial to understand the biology underlying DCIS. In order to study the biology of DCIS we established patient-derived xenograft (PDX) models by intraductally injecting fresh patient DCIS material into the mammary ducts of female immunocompromised mice (Mouse Mammary Intraductal(MIND)). To date, 150 primary DCIS patient samples were engrafted and &amp;gt;100 have been incubated in vivo for a period of 12 months. Using this method we obtain a take rate of 89% with 36% of our models showing progression. Histology and molecular subtyping by PAM50 classification are well preserved in the outgrown PDX lesions compared to the original human counterpart, ensuring that our models are a good representation of the patient disease. For &amp;gt;80 primary samples we obtained RNAseq as well as &amp;gt;50 matched PDX profiles. In addition WES or WGS data is generated from the same primary DCIS samples together with 10 matched PDX WES profiles as well as &amp;gt;40 matched CNV PDX profiles. On top of this we used whole mount imaging, in order to create 3D sections of the injected mammary glands extracted from our PDX models, showing two distinct growth patterns correlated with invasion. And as this is all done in the context of the PRECISION consortium this allows us to confirm and validate our findings in larger sequencing and imaging efforts of human samples. Besides collecting large amounts of data which we can now link to DCIS progression we have successfully sequentially transplanted &amp;gt;25 of our PDX models in order to create models that can be shared with the scientific community and can be manipulated to validate the role of genes in DCIS progression. As an example we took HER2 overexpression, which in our models was found to be associated to progressive disease. On the one hand we treated three progressive HER2 overexpressing DCIS PDX models with a HER2-antibody Herceptin showing a massive decline in growth, while on the other hand we infected two indolent HER2 negative DCIS PDX models with a HER2-GFP lentivirus showing a transformation to HER2 positive progressive growth. In conclusion all this data together enables us to create a well-characterized biobank of DCIS models of which we can follow the progression, sequentially transplant &amp;gt;25 models, find mutational and expression profiles related to high risk DCIS and manipulate gene expression to validate the role of genes in DCIS progression. Citation Format: Jelle Wesseling, Stefan Hutten, Catrin Lutz, Colinda Scheele, Madelon Badoux, Timo Eijkman, Roebi de Bruijn, Mathilde Almekinders, Joyce Sanders, Esther Lips, Jacco van Rheenen, Jos Jonkers, Grand challenge PRECISION consortium. Intraductal patient-derived xenograft models of ductal carcinoma in situ (DCIS) to distinguish indolent DCIS from aggressive DCIS [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-01-01.