Risk Of Ductal Carcinoma In Situ Research Articles

Mammography of suspicious calcifications among ductal carcinoma in situ and benign breast disease

Background: Most ductal carcinoma in situ (DCIS) lesions manifest early as calcifications, which could be benign or malignant. The classified group of suspicious calcifications among DCIS and benign breast disease is clinically important to early evaluate patient risk factors and plan treatment options.Objectives: To compare imaging features of suspicious calcifications between DCIS and benign breast disease.Method: A retrospective study of 101 suspicious calcifications was performed at Thammasat University Hospital from June 2011 to October 2020. The calcifications were surgically excised by mammography-guided wire localisation. The mammographic features of the suspicious calcifications were reviewed according to the fifth edition of the American College of Radiology Breast Imaging-Reporting and Data System lexicon. For comparing between two groups, the student t-test, Fisher’s exact test and Mann-Whitney U test were used for statistical analyses. The logistic regression analysis was calculated for DCIS prediction.Results: The pathologic results of all 101 suspicious calcifications were DCIS (30 cases) and benign breast disease (71 cases). Linear morphology and segmental distribution correlated significantly with DCIS (p = 0.003 and p = 0.024, respectively). After multivariable analysis, fine linear calcification still significantly elevated the risk of DCIS (odd ratios, 51.72 [95% confidence interval: 2.61, 1022.89], p-value of 0.01), however, the odds of predicting DCIS was not statistically significant different among any distribution.Conclusion: Ductal carcinoma in situ calcification has contrasting morphology and distribution features compared to benign breast disease. The calcification descriptor is considered an important implement for early diagnosis and distinguishes DCIS from other benign breast conditions.Contribution: Calcification descriptor is considered an important implement for early diagnosis and distinguishment of DCIS from other benign breast conditions.

Surgical outcomes of total duct excision in the diagnosis and management of nipple discharge.

Total duct excision (TDE) is performed for the diagnosis and management of nipple discharge. The Association of Breast Surgery's recent guidelines recommend considering diagnostic surgery for single-duct, blood-stained or clear nipple discharge, and for symptomatic management. We retrospectively reviewed the diagnostic and surgical outcomes of all cases of TDE between January 2013 and November 2019. In total, 259 TDEs were carried out: 219 for nipple discharge, 29 for recurrent mastitis, 3 for screening abnormalities and 8 for breast lumps. Of the nipple discharge group, 121 had blood-stained discharge. Mean patient age was 52 years (range 19-81). Median follow-up time was 45 months (interquartile range 24-63). The following cases were identified on histopathology: 236 benign breast changes, 10 atypical ductal hyperplasia, 4 lobular carcinoma in situ, 2 low-grade ductal carcinoma in situ (DCIS), 3 intermediate-grade DCIS, 2 high-grade DCIS and 2 invasive ductal carcinomas. In total, 3.5% of patients who underwent TDE had a diagnosis of DCIS or invasive carcinoma. Blood-stained discharge was associated with a significant increase in risk of DCIS or carcinoma compared with other nipple discharge colours (p = 0.043). The most common complications of TDE were infection, poor wound healing and haematoma. Nipple discharge recurred in 14.2% of cases. TDE can be considered for the diagnostics and management of nipple discharge. Blood-stained nipple discharge increases the risk of DCIS or malignancy, but the majority of the time TDE reveals benign breast pathology.

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

ObjectiveTo examine the association between size and margin status of ductal carcinoma in situ (DCIS) and risk of developing ipsilateral invasive breast cancer and ipsilateral DCIS after treatment, and stage...

An Audit on the Role of Sentinel Lymph Node Biopsy (SLNB) in High Risk of Invasion DCIS and Encysted Papillary Carcinoma

Background: The incidence of breast ductal Carcinoma in Situ (DCIS) has been increasing; it currently represents up to 20-25% of all breast carcinomas. Encysted papillary cancer (EPC) is a rare form of breast carcinoma previously compared to DCIS which has been shown to present histologically with invasion of the basement membrane and even metastasis.Aims:Our objective was to define a ‘high risk’ group of patients with pre-op diagnosis of non-invasive cancer undergoing breast conserving surgery (BCS), who would then benefit from SLNB. Methods: A retrospective data collection including all the patients with DCIS over the last 5 years was performed. High risk was defined as: Extensive micro-calcification>40mm or any mass forming DCIS. EPC patients were collected via a Winpath search.

Adherence to hormonal therapy after surgery among older women with ductal carcinoma in situ: Implications for breast cancer-related adverse health events.

Evidence from randomized clinical trials (RCTs) shows that receipt of hormonal therapy after surgery for estrogen receptor-positive ductal carcinoma in situ (DCIS) reduces the risk of DCIS and contralateral invasive breast cancer (IBC) but not death from breast cancer. RCTs examined homogeneous samples, and therefore whether this evidence can be generalized to diverse populations is unclear. Population-based data from four state cancer registries (California, New Jersey, New York, and Texas) were analyzed on women aged 65 years and older newly diagnosed with DCIS who underwent surgery with or without radiation during the years 2006-2013. Registry records were merged with Medicare enrollment in Parts A and/or B and D (prescription drugs) and associated claims. Whether adherence to hormonal therapy was associated with adverse breast cancer-related health events was analyzed. Achieving excellent adherence did not affect death from breast cancer. In contrast, the risk of developing a subsequent breast tumor was 6.24 percentage points (breast-conserving surgery [BCS] with radiation therapy [RT]) and 10.54 percentage points (BCS alone) lower for women with excellent versus low adherence (p<.00001). For excellent versus good adherence, the reduced risk among women who had BCS with and without RT was approximately 3 and 5 percentage points, respectively. A similar pattern emerged for the risk of IBC among women who achieved excellent versus good or low adherence, whereas good versus low adherence comparisons were not significant. This analysis of a diverse population-based cohort of women with DCIS demonstrates that achieving excellent adherence to hormonal therapy is critical to minimizing the occurrence of developing subsequent breast tumors. Our analysis of a diverse population-based cohort of women with ductal carcinoma in situ demonstrates that achieving excellent adherence to hormonal therapy is critical to minimizing the occurrence of developing subsequent breast tumors.

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

Ductal carcinoma in situ (DCIS) is widely accepted as a precursor of invasive ductal carcinoma (IDC). Lobular carcinoma in situ (LCIS) is considered a risk factor for invasive lobular carcinoma (ILC), and it is unclear whether LCIS is also a precursor. Therefore, it would be expected that similar risk factors predispose to both DCIS and IDC, but not necessarily LCIS and ILC. This study examined associations with risk factors using data from 3075 DCIS cases, 338 LCIS cases, and 1584 controls aged 35-60, recruited from the UK-based GLACIER and ICICLE case-control studies between 2007 and 2012. Analysis showed that breastfeeding in parous women was protective against DCIS and LCIS, which is consistent with research on invasive breast cancer (IBC). Additionally, long-term use of HRT in post-menopausal women increased the risk of DCIS and LCIS, with a stronger association in LCIS, similar to the association with ILC. Contrary to findings with IBC, parity and the number of births were not protective against DCIS or LCIS, while oral contraceptives showed an unexpected protective effect. These findings suggest both similarities and differences in risk factors for DCIS and LCIS compared to IBC and that there may be justification for increased breast surveillance in post-menopausal women taking long-term HRT.

Comparison of conventional clinical models and a multigene assay to assess DCIS risk in a prospective single center study.

e12578 Background: Ductal carcinoma in situ (DCIS) is a preinvasive breast cancer typically excised and treated with adjuvant therapy. While there is consensus that this results in overtreatment, there is little agreement on who may avoid radiation or endocrine therapy. Two freely available prediction models, Van Nuys Prognostic Index (VNPI) and Memorial Sloan Kettering Nomogram (MSK-N), are commonly used to identify low-risk DCIS based on standard clinicopathological features. Oncotype DCIS is a newer commercially available tissue-based multigene assay also used to assess risk, but its use is limited due to cost and unclear value over VNPI and MSK-N. We sought to compare these tests’ agreement in determining DCIS ipsilateral breast recurrence (IBR) risk and potential to de-escalate therapy. Methods: In this subanalysis from a prospective single center clinical trial, we analyzed 38 patients with newly diagnosed pure DCIS confirmed at excision. Each risk assessment tool presents risk in a different manner. Oncotype DCIS provides multiple assessments: a raw score (0-100), a DCIS Score Category (low, intermediate, high), and a Refined Score incorporating clinical features (10-year IBR risk). The VNPI calculates a raw score (4-12) and assigns a risk category (low, intermediate, high). MSK-N calculates a 10-year IBR risk. The tests were dichotomized as low vs. not-low risk categories using these thresholds: DCIS Score Category = low, DCIS Refined Score ≤ 10% IBR risk, VNPI risk category = low, MSK-N ≤ 10% IBR risk. Agreement of the 4 models (DCIS Score Category, DCIS Refined Score, VNPI, MSK-N) were compared using Spearman’s rank correlation for continuous data; percent agreement and Cohen’s kappa (k) were used to compare categorized data. Results: There was poor agreement of continuous risk assessments across the 4 models, with only VNPI and DCIS Refined Score showing significant but moderate correlation (r = 0.53, p = 0.001; others ranged r = 0-0.27, p &gt; 0.1). The number of cases identified as low-risk for each assay was DCIS Score Category = 14 (37%), DCIS Refined Score = 3 (8%), VNPI = 1 (3%), and MSK-N = 0. Percent agreement of low vs. not-low risk categorizations between DCIS Refined Score, VNPI, and MSK-N was 92-97%, but each assay classified 3 or fewer cases as low-risk and kappa was not significant (k = 0-0.48, p &gt; .1). DCIS Score Category demonstrated 63-71% agreement with the other 3 assays (k = 0-0.26). Only 1 case was classified as low-risk DCIS on multiple tests. Conclusions: DCIS risk models have poor agreement for determining IBR risk. DCIS Score Category initially identified many low-risk lesions; however, inclusion of clinical features to create a Refined Score decreased this substantially, providing very few additional low-risk cases for de-escalation over VNPI or MSK-N. Additional studies are needed to determine precise IBR rates when these models are used for adjuvant therapy decision-making. Clinical trial information: NCT03495011 .

Non-systemic Approaches for Ductal Carcinoma In Situ: Exploring the Potential of Ultra-flexible Combisomes as a Novel Drug Delivery Strategy-a Review.

Ductal carcinoma in situ (DCIS) is currently treated through breast-conserving surgery (lumpectomy), radiation therapy, breast-removing surgery (mastectomy), and hormone therapy to prevent further progression into invasive breast cancer and recurrence. Discrepancies concerning the prognosis of DCIS have sparked controversy about adequate treatment. Considering the severe medical and psychological consequences of mastectomy, developing a treatment approach that arrests the progression of DCIS to the invasive stage without affecting the non-cancerous cells is of utmost importance. In the current review, the problems associated with the diagnosis and management of DCIS have been thoroughly discussed. A summary of the route of administration and drug delivery systems to manage DCIS was also provoked. Innovative ultra-flexible combisomes were also proposed for the effective management of DCIS. Prevention is essential in managing the risk of DCIS and reducing the risk of progression to invasive breast cancer. While prevention is vital, it is not always possible to prevent DCIS, and in some cases, treatment may be necessary. Hence, this review recommends that ultra-flexible combisomes administered as a topical gel provide a non-systemic approach for managing DCIS and thus significantly minimize the side effects and costs associated with existing therapies.

Abstract 3126: Multimodal genome-wide survey of progressing and non-progressing DCIS

Abstract Introduction: Our current understanding of the molecular changes predisposing Ductal carcinoma in situ (DCIS) to progress to invasive breast cancer (IBC) is limited. The aim of this study is to characterize the molecular changes of DCIS to improve DCIS risk assessment. Methods: We obtained paraffin-embedded tissue of 210 DCIS samples with no concurrent or antecedent IBC from 5 cancer institutions, and extracted DNA and RNA. Transcriptome analysis: Illumina’s TruSeq RNA Exome kit was used for library construction, followed by sequencing. Methylome analysis: Bisulfite treated genomic DNA was restored and arrayed using the Illumina 450K methylation chips. DNA Copy number (CNV) analysis: CNV was estimated from the methylation data set using the EpiCopy R package. Results: Samples passing Q/C metrics: Transcriptome: 59 cases, 63 controls. Methylome &amp; CNV: 93 cases, 98 controls. We classified samples into their intrinsic PAM50 subsets. Cases showed an increase in the Her2 subtype, and the controls were enriched in LuminalA (LumA) samples, while Basal and LuminalB (LumB) subtypes were evenly distributed. Compared to the TCGA IBC dataset, proportions of Her2 and LumB subtypes in DCIS were increased while the LumA cohort was decreased. Unsupervised clustering of the transcriptome data resulted in 3 clusters with key differences between PAM50 subtypes: one cluster predominated in Basal and Her2 subtypes, and a second was enriched in hormone-positive samples (LumA and LumB). For the methylome data, the optimal number of clusters was 6. Again, several clusters showed correlation with PAM50 subtype, e.g., one was enriched for hormone-negative subtypes (Basal and Her2), while another was enriched for hormone-positive subtypes (LumA and LumB). For the CNV data, the optimal number of clusters was 4. Here, one CNV cluster appeared predominantly in the Basal subtype, and there were multiple regions showing significant subtype-specific differences with the TCGA IBC data set. While the well-known heterogeneity of DCIS prevents the above broad molecular categories from strongly stratifying DCIS by outcome, we are continuing to analyze our data sets for predictive molecular signatures. Since the long-term outcome of all DCIS in this cohort is known, we are in the unique position to pursue additional questions such as PAM50 subtype differences in times-to-events or lineage fidelity (i.e., whether the subtype of the subsequent IBC matches the preceding DCIS), and it appears that the time to IBC diagnosis is shortest in Basal DCIS, while at the same time, lineage fidelity is lowest in Basal DCIS, as has been previously reported. Conclusions: Our subtype-stratified analyses identified multiple molecular differences both between intrinsic subtypes as well as between DCIS and IBC that suggest subtype-specific characteristics that may be exploitable for risk stratification of DCIS. Citation Format: Marija Debeljak, Soonweng Cho, Bradley Downs, Michael Considine, Brittany Avin-McKelvey, Yongchun Wang, William Grizzle, Katherine Hoadley, Charles Lynch, Brenda Hernandez, Paul van Diest, Wendy Cozen, Ann Hamilton, Debra Hawes, Edward Gabrielson, Ashley Cimino-Mathews, Liliana Florea, Leslie Cope, Christopher B. Umbricht. Multimodal genome-wide survey of progressing and non-progressing DCIS [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3126.

Abstract 5561: Molecular imaging of calcification and soft tissue defines prognosis of DCIS to invasive breast cancer

Abstract Introduction: Ductal carcinoma in situ (DCIS) is a non-obligatory precursor to invasive breast cancer (IBC). Currently there are no reliable markers to indicate if DCIS will progress IBC after an initial treatment, or if it will remain as DCIS. Because of this uncertainty, standard treatment for DCIS includes surgery with or without radiotherapy. Breast microcalcifications are a common feature in the mammographic detection of DCIS and occur in around 80% of DCIS and 50% of IBC. Despite this, their potential role in the development of DCIS and with progression to IBC remains largely unexplored. The main aim of the study is to identify novel biomarkers for DCIS prognosis, based on chemical and molecular compositional changes of calcifications and their surrounding soft tissue in DCIS. Methods: Consecutive tissue section from 422 patients were analyzed using mid-infrared and Raman hyperspectral imaging and X-ray diffraction (XRD) and included (i) ‘DCIS controls’ (DCIS without recurrence) (n=193), (ii) ‘DCIS cases’ (DCIS which subsequently recurred as an invasive disease) (n=123), (iii) ‘synchronous DCIS with invasive cancer’ (n=44) and ‘benign’ (n=62) groups. Both parametrized and data mining approaches including cluster analysis, unsupervised and supervised multivariate statistical analysis and biomodelling based on leave-one-sample-out cross-validation were used to classify the data and develop DCIS prediction models. Results: Prediction modelling of 314 calcification and soft tissue spectral images from 170 patients (‘DCIS controls’=118 versus ‘DCIS cases’=52) showed an AUROC mean value of 0.85 in distinguishing DCIS that did not recur from DCIS that recurred as IBC. Prediction modelling of XRD data from 124 patients (‘DCIS controls’=67 versus ‘DCIS cases’=57) showed an AUROC mean value of 0.80. The calcification spectral features showed pathology specific changes in phosphate to carbonate ratio as well as changes in magnesium whitlockite content. The epithelial features showed changes in protein secondary structure and content indicating structural remodeling between the two groups. XRD parametrized data analysis corroborated these observations in terms of difference in whitlockite, as well as crystallinity/unit axis of the measured calcifications. The prediction models are currently being tested independently on the remaining sample data. Conclusion: Complementary chemical and molecular analysis of breast calcifications and soft tissue using spectroscopy and XRD imaging predicts the likely progression of DCIS to IBC. Subject to the ongoing validation of biomarkers, these approaches appear as promising DCIS risk assessment tools that can inform diagnosis, prognosis and treatment options. Citation Format: Jayakrupakar Nallala, Doriana Calabrese, Sarah Gosling, Esther Lips, Rachel Factor, Allison Hall, Sarah Pinder, Ihssane Bouybayoune, Elinor Sawyer, Lorraine King, Jeffrey Marks, Thomas Lynch, Donna Pinto, Jelle Wesseling, Shelley Hwang, Keith Rogers, Nick Stone, Grand Challenge PRECISION consortium. Molecular imaging of calcification and soft tissue defines prognosis of DCIS to invasive breast cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5561.

Abstract P3-05-27: The impact of co-existing ductal carcinoma in situ in invasive early hormone receptor positive breast cancer on the genomic and clinical risk of recurrence

Abstract Background: Invasive early breast cancer (IBC) often presents with a co-existing ductal carcinoma in situ (DCIS) component, while about 5% of the cases present with an extensive (&amp;gt;25%) intraductal component (EIC). The presence of a DCIS component was previously shown to be associated with favorable clinico-pathological characteristics and survival outcomes. However, the association between co-existing DCIS and genomic risk of recurrence is unclear. Methods: Patients with early hormone receptor positive (HR+) HER2neu-negative (HER2-) breast cancer and known OncotypeDX breast recurrence score (RS), who underwent breast surgery in our institute, were included. A natural language processing (NLP) algorithm was used to identify co-existence of extensive DCIS (DCIS-H) and non-extensive DCIS (DCIS-L) in surgical pathological reports. Genomic risk was determined using OncotypeDX RS, while clinical risk was calculated according to the MINDACT criteria, based on tumor size and grade. The genomic and clinical risks of DCIS-H, DCIS-L and pure IBC (No-DCIS) were compared. Results: A total of 45 (5%) DCIS-H cases, 468 (56%) DCIS-L cases and 328 (39%) No-DCIS cases were identified. DCIS-H cases presented with less aggressive clinico-pathological characteristics, such as lower proportions of histologic grade III (10% vs 26% vs 21%) and lower proportions of node-positive disease (13% vs 18% vs 21%), compared to DCIS-L and No-DCIS cases, respectively. The distribution of OncotypeDX RS significantly varied between the groups. DCIS-H tumors were less likely to have a high RS and more likely to have a low or intermediate RS compared to DCIS-L and No-DCIS tumors (High RS: 4% vs 20% vs 20%, Low + intermediate RS: 96% vs 80% vs 80%, respectively; p=0.04). Additionally, the proportions of high clinical risk cases were lower in the DCIS-H group compared to the DCIS-L and No-DCIS groups (42% vs 53% vs 50%, respectively; p=0.002). Based on genomic and clinical risk and current guidelines, we found that women presented with an extensive DCIS component (DCIS-H) had a lower probability of receiving an adjuvant chemotherapy recommendation compared to women presented with a non-extensive DCIS component (DCIS-L) or pure IBC (No-DCIS) (11% vs 29% vs 25%, respectively; p=.035). No differences in disease recurrence were detected between the groups. Conclusions: Co-existing extensive DCIS in invasive early HR+Her2- breast cancer is significantly correlated with lower genomic and clinical risk of recurrence and a smaller chance for chemotherapy recommendation. The rarity of this condition (5% of cases) limited our ability to detect differences in outcomes. These findings warrant future studies of the underlying genomic landscape of co-existing extensive DCIS. Citation Format: Yael Bar, Kfir Bar, Judith Ben- Dror, Didi Feldman, Meishar Shahoha, Ahuva Weiss-Meilik, Nachum Dershowitz, Wolf Ido, Amir Sonnenblick. The impact of co-existing ductal carcinoma in situ in invasive early hormone receptor positive breast cancer on the genomic and clinical risk of recurrence [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P3-05-27.

Abstract P4-02-22: Breast microcalcification chemistry predicts DCIS prognosis

Abstract Introduction: Microcalcifications are a common feature in mammographic detection of ductal carcinoma in situ (DCIS), and occur in &amp;gt;80% of cases. Known to be present as type I (calcium oxalate-CaO) and type II (carbonated calcium hydroxyapatite-CHAP) microcalcifications, their association with DCIS and their role in the progression of DCIS to invasive breast cancer (IBC) remains unexplored. In an effort to understand the factors involved in DCIS prognosis, it is hypothesized that changes in the chemical composition of calcifications, in tandem with molecular changes in the surrounding soft tissue, will define patients with DCIS who will progress to develop IBC from those who remain with a stable DCIS phenotype. To this end, a novel label-free approach of hyperspectral imaging using mid-infrared (mid-IR) and Raman spectroscopy was used to probe calcification chemistry and molecular composition of the surrounding ductal and stromal soft tissue. The main aim of the work is to identify biomarkers for DCIS prognosis, based on chemical and molecular compositional changes of calcifications and the surrounding soft tissue. It is anticipated that the spectral biomarkers will provide patients and clinicians an informed risk assessment whether to undertake treatment for DCIS or to be placed under active surveillance. Methods: Tissue samples from 422 patient have been obtained and include (i) ‘pure DCIS’ (DCIS without recurrence) (n=193), (ii) ‘DCIS with invasive recurrence’ (DCIS from patients who subsequently were known to develop invasive disease) (n=123), (iii) ‘DCIS plus contemporaneous invasive cancer’ (n=44) and ‘benign’ (n=62) samples. Serial tissue sections were measured using mid-IR and Raman hyperspectral imaging approaches targeting the same calcification and soft tissue regions from specific DCIS ducts. Hyperspectral imaging data was initially pre-processed to digitally remove paraffin and unintended spectral interferences. The pre-processed data was subjected to cluster analysis followed by unsupervised and supervised machine learning classification models to identify spectral features associated with DCIS and its progression to IBC. Results: Cluster analysis based segmentation of hyperspectral images revealed histopathological features including calcifications, epithelium, necrotic areas, connective tissue and stroma. Spectra were extracted from each of the histopathological features using image coordinates, and biomodelling analysis was performed. Initial analysis of 314 calcification images from 170 patients with (i) ‘pure DCIS’ (n=118) and (ii) ‘DCIS with invasive recurrence’ (n=52) showed an area under the receiver operating characteristic (AUROC) mean value of 85% in distinguishing pure DCIS from DCIS that later recurred as IBC. The calcification features appeared to indicate pathology specific changes in phosphate and carbonate content as well as changes in magnesium whitlockite content. Similar analysis of the surrounding soft tissue spectral features showed an AUROC mean value of 85% (necrotic regions surrounding calcifications) and 76% (epithelium) respectively. The epithelial features showed changes in protein secondary structure and content, which together with the calcification changes indicate structural remodelling in DCIS that progresses to IBC, from those that do not. Perspectives: In the ongoing analyses of imaging data from 422 patients, it is anticipated that molecular/structural features from calcification and soft tissue imaging data will provide important cues in understanding DCIS prognosis and could be a promising way forward in determining management of DCIS risk and treatment underpinned by the identification of specific discriminatory spectral markers. Acknowledgments: This work was supported by Cancer Research UK and by KWF Kankerbestrijding (ref. C38317/A24043). Citation Format: Jayakrupakar Nallala, Doriana Calabrese, Sarah Gosling, Esther Lips, Rachel Factor, Allison Hall, Sarah E. Pinder, Ihssane Bouybayoune, Lorraine King, Jeffrey Marks, Thomas Lynch, Donna Pinto, Jelle Wesseling, E Shelley Hwang, Keith Rogers, Nick Stone. Breast microcalcification chemistry predicts DCIS prognosis [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P4-02-22.

Cumulative 6-Year Risk of Screen-Detected Ductal Carcinoma In Situ by Screening Frequency

Detection of ductal carcinoma in situ (DCIS) by mammography screening is a controversial outcome with potential benefits and harms. The association of mammography screening interval and woman's risk factors with the likelihood of DCIS detection after multiple screening rounds is poorly understood. To develop a 6-year risk prediction model for screen-detected DCIS according to mammography screening interval and women's risk factors. This Breast Cancer Surveillance Consortium cohort study assessed women aged 40 to 74 years undergoing mammography screening (digital mammography or digital breast tomosynthesis) from January 1, 2005, to December 31, 2020, at breast imaging facilities within 6 geographically diverse registries of the consortium. Data were analyzed between February and June 2022. Screening interval (annual, biennial, or triennial), age, menopausal status, race and ethnicity, family history of breast cancer, benign breast biopsy history, breast density, body mass index, age at first birth, and false-positive mammography history. Screen-detected DCIS defined as a DCIS diagnosis within 12 months after a positive screening mammography result, with no concurrent invasive disease. A total of 916 931 women (median [IQR] age at baseline, 54 [46-62] years; 12% Asian, 9% Black, 5% Hispanic/Latina, 69% White, 2% other or multiple races, and 4% missing) met the eligibility criteria, with 3757 screen-detected DCIS diagnoses. Screening round-specific risk estimates from multivariable logistic regression were well calibrated (expected-observed ratio, 1.00; 95% CI, 0.97-1.03) with a cross-validated area under the receiver operating characteristic curve of 0.639 (95% CI, 0.630-0.648). Cumulative 6-year risk of screen-detected DCIS estimated from screening round-specific risk estimates, accounting for competing risks of death and invasive cancer, varied widely by all included risk factors. Cumulative 6-year screen-detected DCIS risk increased with age and shorter screening interval. Among women aged 40 to 49 years, the mean 6-year screen-detected DCIS risk was 0.30% (IQR, 0.21%-0.37%) for annual screening, 0.21% (IQR, 0.14%-0.26%) for biennial screening, and 0.17% (IQR, 0.12%-0.22%) for triennial screening. Among women aged 70 to 74 years, the mean cumulative risks were 0.58% (IQR, 0.41%-0.69%) after 6 annual screens, 0.40% (IQR, 0.28%-0.48%) for 3 biennial screens, and 0.33% (IQR, 0.23%-0.39%) after 2 triennial screens. In this cohort study, 6-year screen-detected DCIS risk was higher with annual screening compared with biennial or triennial screening intervals. Estimates from the prediction model, along with risk estimates of other screening benefits and harms, could help inform policy makers' discussions of screening strategies.

Abstract PR008: Duration of endocrine treatment for DCIS impacts second events: Insights from a large registry of cases at two academic medical centers

Abstract Background: Ductal carcinoma in situ (DCIS) incidence has risen with increasing use of screening mammography. It is unclear who benefits from both the amount and type of adjuvant treatment (radiation therapy, (RT), endocrine therapy (ET)) versus what constitutes over-treatment. Our goal was to identify the effects of adjuvant RT, or ET+/- RT versus breast conservation surgery (BCS) alone in a large multi-center DCIS registry of retrospective patients with long follow up. Methods: Data was extracted on women with a primary diagnosis of DCIS (N=2979) between 1985 - 2017 treated in 2 University of California (UC) medical centers. ET treatment and duration was confirmed by chart review for 1916 patients for this analysis. Receipt of ET (N=404) was stratified to &amp;gt; 2 years or &amp;lt; 2 years. Association between treatment type and second events was assessed using Cox regression. Competing risks models were used to assess effect of treatment type on different type of second events (ipsilateral DCIS or invasive, or contralateral combined). Time-varying coefficients were used as appropriate. Results: Median follow up time was 8.2 years for the 1916 patients analyzed. The cumulative second event (any type) rate was 25% at 15 years. In univariate and multivariate analysis adjusting for clinical variables, all treatments reduced the risk of second events compared to BCS only. Further stratifying ET receipt by duration demonstrated significant risk reduction (HR=0.12, P=0.04) only in women taking &amp;gt;2 years of ET, but not in women in the &amp;lt;2year ET group (HR=1.3, P=0.55). In the competing risk model, RT significantly reduces the risk of both ipsilateral DCIS and invasive cancer, and ET &amp;gt; 2 years significantly reduces the risk of ipsilateral invasive cancer. Conclusions: In our registry we show that women with DCIS who took less than 2 years of adjuvant endocrine therapy have a similar second event rate as BCS. In contrast, women who took more than 2 years of ET show a significantly reduced second event rate, similar to those who received either RT or combined ET+RT, which was independent of age, tumor size, grade, or period of diagnosis. This highlights the importance of ET duration for risk reduction of second events following surgery for newly diagnosed DCIS. Citation Format: Thomas O'Keefe, Christina Yau, Emma Iaconetti, Eliza Jeong, Case Brabham, Paul Kim, Joseph McGuire, Ann Griffin, Laura Esserman, Olivier Harismendy, Gillian Hirst. Duration of endocrine treatment for DCIS impacts second events: Insights from a large registry of cases at two academic medical centers [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 PR008.

Towards the development of DCIS risk prediction models.

Ductal carcinoma in situ (DCIS) has a variable natural history, with a poorly understood biology. In this issue of Cancer Cell, Strand et. al. use two well-annotated DCIS repositories to identify an 812-gene classifier that associates with high risk of DCIS recurrence and define novel DCIS subtypes that informs future studies.

Ductal Carcinoma In Situ (DCIS) Diagnosed by MRI-Guided Biopsy among BRCA1/BRCA2 Mutation Carriers.

While BRCA1/BRCA2 pathogenic sequence variants (PSVs) clearly confer an increased risk for invasive breast cancer, the extent to which these mutant alleles increase DCIS risk is less clear. To assess the rate of detection over a 5-year period, and MRI imaging features of pure noncalcified DCIS in a cohort of Israeli BRCA1/BRCA2 PSV carriers attending a high-risk clinic from 2015 to 2020. All female BRCA1/BRCA2 PSV-carriers followed at the Meirav High-risk clinic from 2015 to 2020 were eligible if they underwent semiannual breast imaging (MRI/mammography) and MRI-guided biopsy-proven pure DCIS. Clinical data, pathology information, and imaging characteristics were retrieved from the computerized archiving system. 18/121 (15.2%) participating BRCA1 PSV carriers and 8/81 (10.1%) BRCA2 PSV-carriers who underwent MRI-guided biopsy were diagnosed with DCIS. The median age of BRCA1 carriers and BRCA2 carriers was 49.8 years and 60.6 years, respectively (p = 0.55). Negative estrogen-receptor tumors were diagnosed in 13/18 (72%) BRCA1 and 2/8 (25%) BRCA2 PSV carriers (p < 0.05). Thirteen (13/18-72%) BRCA1 carriers had intermediate to high-grade or high-grade DCIS compared with 4/8 (50%) of BRCA2 carriers (p = 0.03). Over the 5-year study period, 29/1100 (2.6%) BRCA1/BRCA2 PSV carriers were diagnosed with DCIS seen on MRI only. MRI-detected noncalcified DCIS is more frequent in BRCA1 PSV carriers compared with BRCA2 carriers, unlike the BRCA2 predominance in mammography-detected calcified DCIS. BRCA1-related DCIS is diagnosed earlier, more likely to be estrogen receptor-negative and of higher grade compared with BRCA2-related DCIS. Future prospective studies should validate these results and assess the actual impact they might have on clinical management of BRCA PSV carriers.

Prognostic value of tumor-infiltrating lymphocytes in DCIS: a meta-analysis

BackgroundTumor infiltrating lymphocytes (TILs) have been shown to be associated with the prognosis of breast ductal carcinoma in situ (DCIS). In this systematic review and meta-analysis, we investigated the role of TILs and TIL subsets in predicting the recurrence risk of DCIS.MethodPubMed, Medline, Web of Science, Embase and Cochrane were searched to identify publications investigating the prognostic role of TILs in DCIS. After study screening, data extraction and risk of bias assessment, a meta-analysis was performed to assess the association between TILs (total TILs, CD4+, CD8+, FOXP3+, PD-L1+ TILs) and the risk of DCIS recurrence.ResultsA pooled analysis indicated that dense stromal TILs in DCIS were associated with a higher recurrence risk (HR 2.11 (95% CI 1.35–3.28)). Subgroup analysis showed that touching TILs (HR 4.73 (95% CI 2.28–9.80)) was more precise than the TIL ratio (HR 1.49 (95% CI 1.11–1.99)) in estimating DCIS recurrence risk. Moreover, the prognostic value of TILs seemed more suitable for patients who are diagnosed with DCIS and then undergo surgery (HR 2.77, (95% CI 1.26–6.07)) or surgery accompanied by radiotherapy (HR 2.26, (95% CI 1.29–3.95)), than for patients who receive comprehensive adjuvant therapies (HR 1.16, (95% CI 1.35–3.28)). Among subsets of TILs, dense stromal PD-L1+ TILs were valuable in predicting higher recurrence risk of DCIS.ConclusionThis systematic review and meta-analysis suggested a non-favorable prognosis of TILs and stromal PD-L1+ TILs in DCIS and indicated an appropriate assessment method for TILs and an eligible population.

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.

Association of Prediagnostic Serum Levels of Vitamin D with Risk of Ductal Carcinoma In Situ of the Breast in the UK Biobank Cohort Study.

Higher circulating levels of vitamin D [25(OH)D] have been associated with reduced risk of developing invasive breast cancer. However, their association with risk of ductal carcinoma in situ (DCIS) of the breast has received little attention. We examined the association of serum vitamin D with risk of DCIS in 231,203 women, aged 40 to 69 years at enrollment in the UK Biobank cohort study. Multivariable Cox proportional hazards models were used to estimate HRs and 95% confidence intervals for the association of vitamin D with DCIS risk. There was no association between serum 25(OH)D levels and risk of DCIS overall, or by menopausal status. The association was not modified by body mass index category, family history of breast cancer, or current use of menopausal hormone therapy. In this large prospective cohort study, we did not observe an association between circulating serum levels of vitamin D and risk of DCIS. While previous studies have suggested that serum vitamin D has an inverse association with risk of invasive breast cancer, the present results do not provide evidence for an association with DCIS, a non-obligate precursor of invasive disease.

Sentinel lymph node biopsy in patients with ductal carcinoma in situ: systematic review and meta-analysis.

BackgroundAxillary lymph node status remains the most powerful prognostic indicator in invasive breast cancer. Ductal carcinoma in situ (DCIS) is a non-invasive disease and does not spread to axillary lymph nodes. The presence of an invasive component to DCIS mandates nodal evaluation through sentinel lymph node biopsy (SLNB). Quantification of the necessity of upfront SLNB for DCIS requires investigation. The aim was to establish the likelihood of having a positive SLNB (SLNB+) for DCIS and to establish parameters predictive of SLNB+.MethodsA systematic review was performed as per the PRISMA guidelines. Prospective studies only were included. Characteristics predictive of SLNB+ were expressed as dichotomous variables and pooled as odds ratios (o.r.) and associated 95 per cent confidence intervals (c.i.) using the Mantel–Haenszel method.ResultsOverall, 16 studies including 4388 patients were included (mean patient age 54.8 (range 24 to 92) years). Of these, 72.5 per cent of patients underwent SLNB (3156 of 4356 patients) and 4.9 per cent had SLNB+ (153 of 3153 patients). The likelihood of having SLNB+ for DCIS was less than 1 per cent (o.r. <0.01, 95 per cent c.i. 0.00 to 0.01; P < 0.001, I2 = 93 per cent). Palpable DCIS (o.r. 2.01, 95 per cent c.i. 0.64 to 6.24; P = 0.230, I2 = 0 per cent), tumour necrosis (o.r. 3.84, 95 per cent c.i. 0.85 to 17.44; P = 0.080, I2 = 83 per cent), and grade 3 DCIS (o.r. 1.34, 95 per cent c.i. 0.80 to 2.23; P = 0.270, I2 = 0 per cent) all trended towards significance in predicting SLNB+.ConclusionWhile aggressive clinicopathological parameters may guide SLNB for patients with DCIS, the absolute and relative risk of SLNB+ for DCIS is less than 5 per cent and 1 per cent, respectively. Well-designed randomized controlled trials are required to establish fully the necessity of SLNB for patients diagnosed with DCIS.Registration numberCRD42021284194 (https://www.crd.york.ac.uk/prospero/)