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Ekwueme DU, Reagan KA, Kao SY, Dasari S, Kenney KM, Wu M, Thompson TD, Miller JW. Estimated health outcomes of breast cancer screening in the national breast and cervical cancer early detection program by race/ethnicity. Cancer Causes Control 2025:10.1007/s10552-025-02006-2. [PMID: 40327212 DOI: 10.1007/s10552-025-02006-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2024] [Accepted: 04/24/2025] [Indexed: 05/07/2025]
Abstract
PURPOSE To estimate the number of screenings received, life-years (LYs) saved, and number of screenings per LY saved per woman who participated in the National Breast and Cervical Cancer Early Detection Program (NBCCEDP) (Program) compared with those who did not participate (no Program). METHODS We developed a time-to-event simulation model to compare the outcomes of women participating in the Program vs. no Program, categorized by race/ethnicity. Model input parameters included data from the Program's minimum data elements, United States Cancer Statistics, National Health Interview Survey, and published literature. The Program's impact was calculated as the difference in LYs between the Program and no Program using data from 2010 to 2019. RESULTS Among 1 million women of all races/ethnicities who participated in the NBCCEDP in the last 10 years, 457,152 (standard deviation [SD]: 848) received more screenings than those who did not participate. These participants saved an average of 0.027 LYs per woman screened. In addition, we estimated that about 17 screenings would be required to save an additional 1 LY per woman screened in the Program compared with no Program. Per woman screened by race/ethnicity, non-Hispanic Black women had the highest estimated 0.075 LYs saved, followed by Hispanic women with 0.025 LYs, non-Hispanic White with 0.014 LYs, and non-Hispanic American Indian/Alaska Native and Asian/Pacific Islander had the least health outcome with 0.011 LYs. CONCLUSION The reported findings underscore the importance of providing preventive health services to populations that might not otherwise have access to these services.
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Affiliation(s)
- Donatus U Ekwueme
- Centers for Disease Control and Prevention, Division of Cancer Prevention and Control, Atlanta, GA, USA.
| | - Kelly A Reagan
- Centers for Disease Control and Prevention, Division of Cancer Prevention and Control, Atlanta, GA, USA
| | - Szu-Yu Kao
- Alan Shawn Feinstein College of Education, University of Rhode Island, Kingston, Rhode Island, USA
| | | | - Kristy M Kenney
- Centers for Disease Control and Prevention, Division of Cancer Prevention and Control, Atlanta, GA, USA
| | - Manxia Wu
- Centers for Disease Control and Prevention, Division of Cancer Prevention and Control, Atlanta, GA, USA
| | - Trevor D Thompson
- Centers for Disease Control and Prevention, Division of Cancer Prevention and Control, Atlanta, GA, USA
| | - Jacqueline W Miller
- Centers for Disease Control and Prevention, Division of Cancer Prevention and Control, Atlanta, GA, USA
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2
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Chen Q, Elwood M, Campbell I, Cavadino A, Aye PS, Tin Tin S. Incidence trends of ductal carcinoma in situ in New Zealand women between 1999 and 2022. Breast Cancer Res Treat 2025; 210:439-449. [PMID: 39856462 PMCID: PMC11930874 DOI: 10.1007/s10549-024-07582-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 12/04/2024] [Indexed: 01/27/2025]
Abstract
BACKGROUND In New Zealand, BreastScreen Aotearoa (BSA), a biennial national breast screening programme, was implemented in 1998. This study examines the incidence trends of ductal carcinoma in situ (DCIS) in New Zealand women from 1999 to 2022. METHODS All women with a primary diagnosis of DCIS over the 24-year study period were identified from the New Zealand Cancer Registry and BSA records. Age-standardised incidence rates (ASIR), detection rates (ASDR) and average annual percent changes were calculated. RESULTS The annual ASIR was 13.5 per 100,000 New Zealand women, and increased by 0.91% (95% confidence interval (CI): 0.26%, 1.66%) annually. Among women aged 45-69 years during 2006-2022, the annual ASIR was 36.3 for programme-detected DCIS, increasing 1.29% (95%CI: 0.13%, 2.73%) per year, and 14.2 for non-programme-detected DCIS, with no significant changes over the study period. The programme-detected ASIRs were highest for Pacific (38.6), Asian (38.2), and Māori (38.0) women. The programme ASDR was 0.55 per 1000 women screened, with no significant changes over time, and was highest for Asian (0.69), and Māori and Pacific (both at 0.65) women. CONCLUSION DCIS incidence increased in New Zealand women from 1999 to 2022, driven by an increase in screening participation, and varied by ethnicity.
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Affiliation(s)
- Qian Chen
- Department of Epidemiology and Biostatistics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
| | - Mark Elwood
- Department of Epidemiology and Biostatistics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Ian Campbell
- Department of Surgery, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Alana Cavadino
- Department of Epidemiology and Biostatistics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Phyu Sin Aye
- Department of Pharmacology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Sandar Tin Tin
- Department of Epidemiology and Biostatistics, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, Oxford, UK
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3
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Ezzat A, Shanthakumar D, Laskar N, Cutress RI, Hadjiminas D, Boland M, Joshi M, Patel R, Grant Y, Naik R, Bakri NAC, Hajev S, Elghazaly H, Holt J, Roddan A, Cleator S, Darzi A, Ashrafian H, Leff DR. Impact of resection margin width on local recurrence following breast-conserving surgery and whole breast radiotherapy for pure ductal carcinoma in situ: a systematic review and meta-analysis. BMJ ONCOLOGY 2025; 4:e000633. [PMID: 40099004 PMCID: PMC11911704 DOI: 10.1136/bmjonc-2024-000633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Accepted: 02/17/2025] [Indexed: 03/19/2025]
Abstract
Objective The aim of this study was to determine the impact of margin width and boost radiotherapy on the local recurrence risk of pure ductal carcinoma in situ (DCIS). Methods and analysis This is a prospectively registered systematic review and meta-analysis reporting relative risk (RR), OR and HR margin width outcomes. Eligible studies included prospective and retrospective case series with defining margin widths and 48 months of minimum follow-up. All patients (100%) received adjuvant whole breast radiotherapy (WBRT). Results A total of 40 265 patients with pure DCIS in 31 studies were included. ORs and RR were calculated from 15 studies in 12 519 patients, and HRs were calculated from 12 studies in 12 946 patients. Local recurrence was significantly greater with narrower 'close' margins; 0.1-1 mm versus >1 mm in RR (2.88, 95% CI 1.86 to 3.90; p<0.05), OR (4.82, 95% CI 2.45 to 9.48; p<0.05) and HR analysis (1.34, 95% CI 1.01 to 1.67; p<0.05). Compared with margins >2 mm, significantly greater local recurrence was observed in margins 0.1-2 mm in RR (1.72, 95% CI 1.09 to 2.35; p<0.05) and OR (4.43, 95% CI 3.02 to 6.50; p<0.05). Comparing 0.1-1 mm versus >1 mm and 0.1-2 mm versus >2 mm, differences in local recurrence were not statistically significant, once adjusted for boost radiotherapy. Conclusions In pure DCIS with WBRT, the local recurrence risk reduces as margin width increases up to 2 mm. The strength of the recommendation for a minimum clear margin of 2 mm is limited by a lack of data comparing 1.1-2 mm with >2 mm. The association between recurrence and close margins is not significant following boost radiotherapy, suggesting a possible alternative to re-excision in patients with close margins <2 mm. Systematic review registration CRD42022308524.
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Affiliation(s)
- Ahmed Ezzat
- Department of Surgery and Cancer, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | | | - Naomi Laskar
- Department of Surgery and Cancer, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | - Ramsey I Cutress
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Dimitri Hadjiminas
- Department of Surgery and Cancer, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | - Michael Boland
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | - Meera Joshi
- Department of Surgery and Cancer, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | - Ronak Patel
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Yasmin Grant
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Ravi Naik
- Department of Surgery and Cancer, Imperial College London, London, UK
| | | | - Saur Hajev
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Hussein Elghazaly
- Department of Surgery and Cancer, Imperial College London, London, UK
| | | | - Alfie Roddan
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Susan Cleator
- Department of Surgery and Cancer, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
| | - Ara Darzi
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Hutan Ashrafian
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Daniel R Leff
- Department of Surgery and Cancer, Imperial College London, London, UK
- Department of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK
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4
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Riggi J, Galant C, Vernaeve H, Vassilieff M, Berlière M, Van Bockstal MR. Risk perception of patients with ductal carcinoma in situ (DCIS) of the breast and their healthcare practitioners: The importance of histopathological terminology, and the gaps in our knowledge. Histol Histopathol 2025; 40:297-306. [PMID: 39324807 DOI: 10.14670/hh-18-806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2024]
Abstract
Despite ductal carcinoma in situ (DCIS) being a non-obligatory precursor of invasive breast carcinoma, its diagnosis generates substantial psychological distress. The limited knowledge about the natural history of DCIS contributes to the insufficient transmission of information about DCIS to patients and the general population. The uncertainty about the progression risk to invasive carcinoma hampers adequate communication by clinicians. Breast cancer-related mortality after a DCIS diagnosis is low. However, several studies have demonstrated that DCIS patients generally overestimate the risk of developing loco-regional recurrence or dying from breast cancer. Various factors contribute to this perceived risk. Despite the lack of infiltrative growth, DCIS is treated similarly to invasive breast cancer, with surgery, radiotherapy, and hormonal therapy. Additionally, the term 'carcinoma' in DCIS provokes anxiety. Incorrect risk perception by physicians may result in overtreatment. Here, we provide an overview of epidemiologic data on mortality after DCIS. We discuss the impact of the term "ductal carcinoma in situ" on patients' and physicians' perceptions of risk. The available evidence is mostly limited to patients within the Anglosphere. Recent studies, and European studies in particular, are scarce. We identify this as an area of interest for future large-scale European studies. We discuss the potential value of the "ductal intraepithelial neoplasia" (DIN) terminology, introduced in 1998. Although replacing the concept of "DCIS" with the DIN terminology is unlikely to solve the entire problem of risk overestimation, it could be the first step to optimize doctor-patient communication and alter the current risk perception.
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Affiliation(s)
- Julia Riggi
- Breast Clinic, King Albert II Cancer Institute, Cliniques universitaires Saint-Luc, Brussels, Belgium
- Pôle de Morphologie (MORF), Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
- Department of Pathology, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | - Christine Galant
- Breast Clinic, King Albert II Cancer Institute, Cliniques universitaires Saint-Luc, Brussels, Belgium
- Pôle de Morphologie (MORF), Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
- Department of Pathology, Cliniques universitaires Saint-Luc, Brussels, Belgium
| | | | - Maud Vassilieff
- Breast Clinic Isala, CHU Saint-Pierre - Site César de Paepe, Brussels, Belgium
| | - Martine Berlière
- Breast Clinic, King Albert II Cancer Institute, Cliniques universitaires Saint-Luc, Brussels, Belgium
- Pôle de Gynécologie (GYNE), Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
| | - Mieke R Van Bockstal
- Pôle de Morphologie (MORF), Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
- Department of Pathology, Cliniques universitaires Saint-Luc, Brussels, Belgium
- Breast Clinic, King Albert II Cancer Institute, Cliniques universitaires Saint-Luc, Brussels, Belgium.
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5
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Mitsa G, Florianova L, Lafleur J, Aguilar-Mahecha A, Zahedi RP, del Rincon SV, Basik M, Borchers CH, Batist G. Clinical Proteomics Reveals Vulnerabilities in Noninvasive Breast Ductal Carcinoma and Drives Personalized Treatment Strategies. CANCER RESEARCH COMMUNICATIONS 2025; 5:138-149. [PMID: 39723668 PMCID: PMC11755405 DOI: 10.1158/2767-9764.crc-24-0287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 11/04/2024] [Accepted: 12/20/2024] [Indexed: 12/28/2024]
Abstract
SIGNIFICANCE This study provides real-world evidence for DCIS, a disease for which currently no molecular tools or biomarkers exist, and gives an unbiased, comprehensive, and deep proteomic profile, identifying >380 actionable targets.
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Affiliation(s)
- Georgia Mitsa
- Division of Experimental Medicine, McGill University, Montréal, Canada
- Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, Jewish General Hospital and McGill University, Montréal, Canada
| | - Livia Florianova
- Department of Pathology, McGill University, Montréal, Canada
- Division of Pathology, Jewish General Hospital, Montréal, Canada
| | - Josiane Lafleur
- Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Adriana Aguilar-Mahecha
- Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Rene P. Zahedi
- Manitoba Centre for Proteomics and Systems Biology, University of Manitoba, Winnipeg, Canada
- Department of Internal Medicine, University of Manitoba, Winnipeg, Canada
- Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Canada
- CancerCare Manitoba Research Institute, Winnipeg, Canada
| | - Sonia V. del Rincon
- Division of Experimental Medicine, McGill University, Montréal, Canada
- Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
| | - Mark Basik
- Division of Experimental Medicine, McGill University, Montréal, Canada
- Department of Medicine, McGill University, Montréal, Canada
- Gerald Bronfman Department of Oncology, McGill University, Montréal, Canada
- Department of Surgery, McGill University, Montréal, Canada
| | - Christoph H. Borchers
- Division of Experimental Medicine, McGill University, Montréal, Canada
- Segal Cancer Proteomics Centre, Lady Davis Institute for Medical Research, Jewish General Hospital and McGill University, Montréal, Canada
- Department of Pathology, McGill University, Montréal, Canada
- Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
- Gerald Bronfman Department of Oncology, McGill University, Montréal, Canada
| | - Gerald Batist
- Division of Experimental Medicine, McGill University, Montréal, Canada
- Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, Canada
- Department of Surgery, McGill University, Montréal, Canada
- Exactis Innovation, Montréal, Canada
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6
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Brown NL, Pritchard S, Harkness EF, Lim Y, Gandhi A, Evans DG, Howell A, Howell SJ. Long term follow-up of women treated for screen detected atypical ductal hyperplasia or lobular neoplasia in a large UK screening centre. BJC REPORTS 2024; 2:90. [PMID: 39695332 DOI: 10.1038/s44276-024-00113-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 10/25/2024] [Accepted: 12/01/2024] [Indexed: 12/20/2024]
Abstract
BACKGROUND Atypical ductal hyperplasia (ADH) and lobular neoplasia (LN) increase subsequent breast cancer (BC) risk. However, optimal surveillance and risk reduction regimes remain uncertain. We report management and outcomes of women with ADH and LN to provide data on potential screening/prevention strategies. METHODS Women diagnosed with screen detected ADH and/or LN between 2010-2018 at our institution were identified and demographic data, MDT decisions and BC diagnoses extracted from electronic patient records in 2019 and 2023. RESULTS Of 107 women, 74 were discharged to the NHS Breast Screening Programme and 33 were offered enhanced screening (ES). The proportion offered ES increased significantly over time (p = 0.037). 15/105 (14.3%) developed BC (median follow-up 117 months), 9 screen-detected and 6 symptomatic, with 3 interval cancers diagnosed 12-25 months following their last screen. 3/15 were lymph node positive and 13/14 invasive cancers were estrogen receptor (ER) positive. BC incidence rate was 1499.6/100,000 women/year (SIR = 4.7), lower in the first 5 years of follow-up compared with post 5 years. CONCLUSIONS In women with ADH/LN most BCs occur beyond 5 years. ES regimens should therefore extend to at least 10 years and be at least biennial. Preventative therapy should be considered given the high BC SIR and ER positivity of subsequent tumours.
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Affiliation(s)
- Nicole L Brown
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Southmoor Road, Manchester, UK
| | - Susan Pritchard
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Southmoor Road, Manchester, UK
| | - Elaine F Harkness
- Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK
| | - Yit Lim
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Southmoor Road, Manchester, UK
| | - Ashu Gandhi
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Southmoor Road, Manchester, UK
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - Dafydd Gareth Evans
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Southmoor Road, Manchester, UK
- Division of Evolution, Infection and Genomic Sciences, The University of Manchester, Manchester, UK
| | - Anthony Howell
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Southmoor Road, Manchester, UK
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - Sacha J Howell
- Manchester University NHS Foundation Trust, Wythenshawe Hospital, Southmoor Road, Manchester, UK.
- Division of Cancer Sciences, The University of Manchester, Manchester, UK.
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7
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Nabi O, Liu Y, Struthers J, Lian M. The Role of Residential Segregation in Treatment and Outcomes of Ductal Carcinoma In Situ of the Breast. Cancer Epidemiol Biomarkers Prev 2024; 33:1633-1639. [PMID: 39292206 PMCID: PMC11611668 DOI: 10.1158/1055-9965.epi-24-0488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/20/2024] [Accepted: 09/16/2024] [Indexed: 09/19/2024] Open
Abstract
BACKGROUND It remains unclear whether residential segregation impacts on clinical treatment and outcomes for ductal carcinoma in situ (DCIS), a nonobligate precursor to invasive breast cancer (IBC). METHODS This population-based retrospective cohort study included adult non-Hispanic White and Black women diagnosed with unilateral DCIS between January 1990 and December 2015, followed through December 2016, and identified from the Surveillance, Epidemiology, and End Results dataset. County-level racialized economic segregation was measured using the Index of Concentration at the Extremes. Multilevel logistic regression and Cox proportional hazards regression accounting for county-level clustering were used to estimate the ORs of local treatment and HRs of subsequent IBC and mortality. RESULTS Of 103,898 cases, mean age was 59.5 years, 12.5% were non-Hispanic Black, 87.5% were non-Hispanic White, 97.5% underwent surgery, 64.5% received radiotherapy following breast-conserving surgery (BCS), 7.1% developed IBC, and 18.6% died from all causes. Among women living in the least versus most privileged counties, we observed higher odds of receiving mastectomy [vs. BCS; OR = 1.51; 95% confidence interval (CI), 1.35-1.69; Ptrend < 0.001] and radiotherapy following BCS(OR = 1.27; 95% CI, 1.07-1.51; Ptrend < 0.01); the risk was higher in subsequent ipsilateral IBC (HR = 1.16; 95% CI, 1.02-1.32; Ptrend = 0.04), not in breast cancer-specific mortality (HR = 1.04; 95% CI, 0.88-1.23; Ptrend = 0.56). CONCLUSIONS The results provide evidence for disparities in clinical treatment for DCIS and prognostic outcomes among women in racially and economically segregated counties. IMPACT Our findings may inform geographically targeted multilevel interventions to reduce breast cancer burden and improve breast cancer care and equity.
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Affiliation(s)
- Oumarou Nabi
- Division of General Medicine & Geriatrics, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Ying Liu
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
- Alvin J. Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, Missouri
| | - James Struthers
- Division of General Medicine & Geriatrics, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Min Lian
- Division of General Medicine & Geriatrics, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
- Alvin J. Siteman Cancer Center, Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, Missouri
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8
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Qin X, Strand SH, Lee MR, Saraswathibhatla A, van IJzendoorn DGP, Zhu C, Vennam S, Varma S, Hall A, Factor RE, King L, Simpson L, Luo X, Colditz GA, Jiang S, Chaudhuri O, Hwang ES, Marks JR, Owzar K, West RB. Single Cell Expression Analysis of Ductal Carcinoma in Situ Identifies Complex Genotypic-Phenotypic Relationships Altering Epithelial Composition. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.10.561724. [PMID: 39386437 PMCID: PMC11463646 DOI: 10.1101/2023.10.10.561724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
To identify mechanisms underlying the growth of ductal carcinoma in situ (DCIS) and properties that lead to progression to invasive cancer, we performed single-cell RNA-sequencing (scRNA-seq) on DCIS lesions and matched synchronous normal breast tissue. Using inferred copy number variations (CNV), we identified neoplastic epithelial cells from the clinical specimens which contained a mixture of DCIS and normal ducts. Phylogenetic analysis based on the CNVs demonstrated intratumoral clonal heterogeneity was associated with significant gene expression differences. We also classified epithelial cells into mammary cell states and found that individual genetic clones contained a mixture of cell states suggesting an ongoing pattern of differentiation after neoplastic transformation. Cell state proportions were significantly different based on estrogen receptor (ER) expression with ER-DCIS more closely resembling the distribution in the normal breast, particularly with respect to cells with basal characteristics. Using deconvolution from bulk RNA-seq in archival DCIS specimens, we show that specific alterations in cell state proportions are associated with progression to invasive cancer. Loss of an intact basement membrane (BM) is the functional definition of invasive breast cancer (IBC) and scRNA-seq data demonstrated that ongoing transcription of key BM genes occurs in specific subsets of epithelial cell states. Examining BM in archival microinvasive breast cancers and an in vitro model of invasion, we found that passive loss of BM gene expression due to cell state proportion alterations is associated with loss of the structural integrity of the duct leading to an invasive phenotype. Our analyses provide detailed insight into DCIS biology. SIGNIFICANCE Single cell analysis reveals that preinvasive breast cancer is comprised of multiple genetic clones and there is substantial phenotypic diversity both within and between these clones. Ductal carcinoma in situ (DCIS) of the breast is a non-invasive condition commonly identified through mammographic screening. A primary diagnosis of DCIS carries little mortality risk on its own, but its presence is a risk factor for subsequent clonally related invasive breast cancer (IBC) (1-5).
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9
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Hill H, Roadevin C, Duffy S, Mandrik O, Brentnall A. Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening. JAMA Netw Open 2024; 7:e2431715. [PMID: 39235813 PMCID: PMC11377997 DOI: 10.1001/jamanetworkopen.2024.31715] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/06/2024] Open
Abstract
Importance Previous research has shown good discrimination of short-term risk using an artificial intelligence (AI) risk prediction model (Mirai). However, no studies have been undertaken to evaluate whether this might translate into economic gains. Objective To assess the cost-effectiveness of incorporating risk-stratified screening using a breast cancer AI model into the United Kingdom (UK) National Breast Cancer Screening Program. Design, Setting, and Participants This study, conducted from January 1, 2023, to January 31, 2024, involved the development of a decision analytical model to estimate health-related quality of life, cancer survival rates, and costs over the lifetime of the female population eligible for screening. The analysis took a UK payer perspective, and the simulated cohort consisted of women aged 50 to 70 years at screening. Exposures Mammography screening at 1 to 6 yearly screening intervals based on breast cancer risk and standard care (screening every 3 years). Main Outcomes and Measures Incremental net monetary benefit based on quality-adjusted life-years (QALYs) and National Health Service (NHS) costs (given in pounds sterling; to convert to US dollars, multiply by 1.28). Results Artificial intelligence-based risk-stratified programs were estimated to be cost-saving and increase QALYs compared with the current screening program. A screening schedule of every 6 years for lowest-risk individuals, biannually and triennially for those below and above average risk, respectively, and annually for those at highest risk was estimated to give yearly net monetary benefits within the NHS of approximately £60.4 (US $77.3) million and £85.3 (US $109.2) million, with QALY values set at £20 000 (US $25 600) and £30 000 (US $38 400), respectively. Even in scenarios where decision-makers hesitate to allocate additional NHS resources toward screening, implementing the proposed strategies at a QALY value of £1 (US $1.28) was estimated to generate a yearly monetary benefit of approximately £10.6 (US $13.6) million. Conclusions and Relevance In this decision analytical model study of integrating risk-stratified screening with a breast cancer AI model into the UK National Breast Cancer Screening Program, risk-stratified screening was likely to be cost-effective, yielding added health benefits at reduced costs. These results are particularly relevant for health care settings where resources are under pressure. New studies to prospectively evaluate AI-guided screening appear warranted.
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Affiliation(s)
- Harry Hill
- School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom
| | - Cristina Roadevin
- Nottingham Clinical Trials Unit, University of Nottingham, Nottingham, United Kingdom
| | - Stephen Duffy
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Olena Mandrik
- School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom
| | - Adam Brentnall
- Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
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10
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Balasubramaniam NK, Penberthy S, Fenyo D, Viessmann N, Russmann C, Borchers CH. Digitalomics - digital transformation leading to omics insights. Expert Rev Proteomics 2024; 21:337-344. [PMID: 39364775 DOI: 10.1080/14789450.2024.2413107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 09/02/2024] [Accepted: 09/23/2024] [Indexed: 10/05/2024]
Abstract
INTRODUCTION Biomarker discovery is increasingly moving from single omics to multiomics, as well as from multi-cell omics to single-cell omics. These transitions have increasingly adopted digital transformation technologies to accelerate the progression from data to insight. Here, we will discuss the concept of 'digitalomics' and how digital transformation directly impacts biomarker discovery. This will ultimately assist clinicians in personalized therapy and precision-medicine treatment decisions. AREAS COVERED Genotype-to-phenotype-based insight generation involves integrating large amounts of complex multiomic data. This data integration and analysis is aided through digital transformation, leading to better clinical outcomes. We also highlight the challenges and opportunities of Digitalomics, and provide examples of the application of Artificial Intelligence, cloud- and high-performance computing, and use of tensors for multiomic analysis workflows. EXPERT OPINION Biomarker discovery, aided by digital transformation, is having a significant impact on cancer, cardiovascular, infectious, immunological, and neurological diseases, among others. Data insights garnered from multiomic analyses, combined with patient meta data, aids patient stratification and targeted treatment across a broad spectrum of diseases. Digital transformation offers time and cost savings while leading to improved patent healthcare. Here, we highlight the impact of digital transformation on multiomics- based biomarker discovery with specific applications related to oncology.
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Affiliation(s)
- Nandha Kumar Balasubramaniam
- PromptBio Inc, Pleasanton, CA, USA
- Health Campus Goettingen/University of Applied Sciences and Arts (HAWK), Göttingen, Germany
| | | | - David Fenyo
- New York University Grossman School of Medicine, New York, NY, USA
| | - Nina Viessmann
- Health Campus Goettingen/University of Applied Sciences and Arts (HAWK), Göttingen, Germany
| | - Christoph Russmann
- Health Campus Goettingen/University of Applied Sciences and Arts (HAWK), Göttingen, Germany
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Christoph H Borchers
- Segal Cancer Proteomics Center, Lady Davis Institute for Medical Research, Jewish General Hospital and McGill University, Montreal, QC, Canada
- Gerald Bronfman Department of Oncology, Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
- Division of Experimental Medicine, McGill University, Montreal, QC, Canada
- Department of Pathology, McGill University, Montreal, QC, Canada
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11
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Zaki-Metias KM, Wang H, Tawil TF, Miles EB, Deptula L, Agrawal P, Davis KM, Spalluto LB, Seely JM, Yong-Hing CJ. Breast Cancer Screening in the Intermediate-Risk Population: Falling Through the Cracks? Can Assoc Radiol J 2024; 75:593-600. [PMID: 38420877 DOI: 10.1177/08465371241234544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024] Open
Abstract
Breast cancer screening guidelines vary for women at intermediate risk (15%-20% lifetime risk) for developing breast cancer across jurisdictions. Currently available risk assessment models have differing strengths and weaknesses, creating difficulty and ambiguity in selecting the most appropriate model to utilize. Clarifying which model to utilize in individual circumstances may help determine the best screening guidelines to use for each individual.
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Affiliation(s)
- Kaitlin M Zaki-Metias
- Department of Radiology, Trinity Health Oakland Hospital/Wayne State University School of Medicine, Pontiac, MI, USA
| | - Huijuan Wang
- Department of Radiology, Trinity Health Oakland Hospital/Wayne State University School of Medicine, Pontiac, MI, USA
| | - Tima F Tawil
- Department of Radiology, Trinity Health Oakland Hospital/Wayne State University School of Medicine, Pontiac, MI, USA
| | - Eda B Miles
- Department of Internal Medicine, Arnot Ogden Medical Center, Elmira, NY, USA
| | - Lisa Deptula
- Ross University School of Medicine, Bridgetown, Barbados
| | - Pooja Agrawal
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
- Department of Internal Medicine, HCA Houston Healthcare Kingwood, Houston, TX, USA
| | - Katie M Davis
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lucy B Spalluto
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Ingram Cancer Center, Nashville, TN, USA
- Veterans Health Administration, Tennessee Valley Healthcare System Geriatric Research, Education and Clinical Center (GRECC), Nashville, TN, USA
| | - Jean M Seely
- Department of Medical Imaging, The Ottawa Hospital, University of Ottawa, Ottawa, ON, Canada
| | - Charlotte J Yong-Hing
- Diagnostic Imaging, BC Cancer Vancouver, Vancouver, BC, Canada
- Department of Radiology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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12
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Pan K, Nelson RA, Chlebowski RT, Piela R, Mullooly M, Simon MS, Rohan TE, Wactawski-Wende J, Manson JE, Mortimer JE, Lane D, Kruper L. Ductal carcinoma in situ and cause-specific mortality among younger and older postmenopausal women: the Women's Health Initiative. Breast Cancer Res Treat 2024; 207:65-79. [PMID: 38730133 DOI: 10.1007/s10549-024-07327-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 03/28/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Whether DCIS is associated with higher breast cancer-specific and all-cause mortality is unclear with few studies in older women. Therefore, we examined DCIS and breast cancer-specific, cardiovascular (CVD)-specific, and all-cause mortality among Women's Health Initiative (WHI) Clinical Trial participants overall and by age (< 70 versus ≥ 70 years). METHODS Of 68,132 WHI participants, included were 781 postmenopausal women with incident DCIS and 781 matched controls. Serial screening mammography was mandated with high adherence. DCIS cases were confirmed by central medical record review. Adjusted multivariable Cox proportional hazard regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI). Kaplan Meier (KM) plots were used to assess 10-year and 20-year mortality rates. RESULTS After 20.3 years total, and 13.2 years median post-diagnosis follow-up, compared to controls, DCIS was associated with higher breast cancer-specific mortality (HR 3.29; CI = 1.32-8.22, P = 0.01). The absolute difference in 20-year breast cancer mortality was 1.2% without DCIS and 3.4% after DCIS, log-rank P = 0.026. Findings were similar by age (< 70 versus ≥ 70 years) with no interaction (P interaction = 0.80). Incident DCIS was not associated with CVD-specific mortality (HR 0.77; CI-0.54-1.09, P = 0.14) or with all-cause mortality (HR 0.96; CI = 0.80-1.16, P = 0.68) with similar findings by age. CONCLUSIONS In postmenopausal women, incident DCIS was associated with over three-fold higher breast cancer-specific mortality, with similar findings in younger and older postmenopausal women. These finding suggest caution in using age to adjust DCIS clinical management or research strategies.
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Grants
- N01WH22110, 24152, 32100-2, 32105-6, 32108-9, 32111-13, 32115, 32118-32119, 32122, 42107-26, 42129-32 NHLBI NIH HHS
- N01WH22110, 24152, 32100-2, 32105-6, 32108-9, 32111-13, 32115, 32118-32119, 32122, 42107-26, 42129-32 NHLBI NIH HHS
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Affiliation(s)
- Kathy Pan
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
| | | | | | - Rita Piela
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
| | - Maeve Mullooly
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
| | - Michael S Simon
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
| | - Thomas E Rohan
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
| | | | - JoAnn E Manson
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
| | | | - Dorothy Lane
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
| | - Laura Kruper
- The Lundquist Institute, 1124 W. Carson St, Torrance, CA, USA
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13
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Rajan KK, Nijveldt JJ, Verheijen S, Siesling S, Beek MA, Francken AB. Adherence to guideline recommendations for follow-up in patients with DCIS at a large teaching hospital in the Netherlands. Breast Cancer Res Treat 2024:10.1007/s10549-024-07391-x. [PMID: 38874687 DOI: 10.1007/s10549-024-07391-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 05/30/2024] [Indexed: 06/15/2024]
Abstract
PURPOSE Ductal-carcinoma in situ (DCIS) is a pre-invasive form of breast cancer with good prognosis. Follow-up guidelines in the Netherlands are currently the same as for invasive breast cancer. Due to fear of invasive breast cancer or recurrence, it is hypothesized that follow-up for DCIS after treatment is more intense in practice resulting in potentially unnecessary high costs. This study investigates the follow-up in practice for patients with DCIS compared to the recommendations in order to inform clinicians and policy makers how to utilize these guidelines. METHODS Patients diagnosed with pure DCIS between 2004 and 2014 were followed up until 2018. Information on duration and frequency of follow-up visits, reasons and decision makers for shortening, and prolonging follow-up was collected. Prolonged follow-up was defined as deviation from the Dutch guideline: more than 5 years of follow-up and older than 60 years. RESULTS Of the 227 patients the mean number of visits per year was 1.4 and mean years of follow-up was 6.0. Thirty-three percent had prolonged follow-up and 26% shorter follow-up than recommended. A majority (78%) of decision for prolonged follow-up was being made by clinicians. CONCLUSION Follow-up duration is in almost half of patients with DCIS according to guidelines and with most prolonged follow-up only up to a year longer than recommended. In most cases suspicious findings and the timing of the population screening program appeared to cause prolonged follow-up. If accepted by patients and clinicians, future DCIS specific guidelines should address these reasons and tailor to the individual risks.
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Affiliation(s)
- K K Rajan
- Department of Surgical Oncology, Isala Zwolle, Zwolle, The Netherlands.
| | - J J Nijveldt
- Department of Surgical Oncology, Isala Zwolle, Zwolle, The Netherlands
| | - S Verheijen
- Department of Surgical Oncology, Isala Zwolle, Zwolle, The Netherlands
| | - S Siesling
- Section of Health Technology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands
| | - M A Beek
- Department of Surgical Oncology, Isala Zwolle, Zwolle, The Netherlands
| | - A B Francken
- Department of Surgical Oncology, Isala Zwolle, Zwolle, The Netherlands
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14
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Wang Y, Peng D, Zhou X, Hu W, Li F. Treatments and Prognosis of the Breast Ductal Carcinoma In Situ. Clin Breast Cancer 2024; 24:122-130.e2. [PMID: 38016910 DOI: 10.1016/j.clbc.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/06/2023] [Accepted: 11/06/2023] [Indexed: 11/30/2023]
Abstract
INTRODUCTION With progress in treatments, breast ductal carcinoma in situ (DCIS) outcomes have substantially improved. However, as various treatment methods are used in different countries and institutions, consensus on the optimal treatment method is lacking. This study aimed to analyze the prognostic factors and provide a reference for optimizing the clinical treatment of DCIS. PATIENTS AND METHODS This retrospective clinical study collected data from DCIS patients at the Sun Yat-sen University Cancer Center from 2010 to 2017. The Kaplan-Meier method and Cox regression model were used to assess disease-free survival (DFS), overall survival (OS), and local control (LC) rates. RESULTS Among the 483 included patients, 83.6% (404) underwent mastectomies. The median follow-up time was 101 months. The number of patients undergoing breast-conserving surgery (BCS) with radiotherapy has gradually increased. Axillary lymph node dissection was the main surgery performed from 2010 to 2015, and the proportion of sentinel lymph node biopsies (SLNBs) has increased. LC and DFS rates with BCS without radiotherapy were significantly lower than those with mastectomy (P = .002; P < .001). Additionally, the patients who did not undergo axillary surgery had worse LC and OS rates than those who underwent SLNB (P = .028 and P = .038). Endocrine therapy (ET) or its duration had no significant effect on prognosis. CONCLUSION In conclusion, BCS without radiotherapy and lack of axillary surgery were independent prognostic factors. We recommend performing BCS with radiotherapy and SLNB more in clinical practice, as well as shortening the ET duration.
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Affiliation(s)
- Yaxue Wang
- State Key Laboratory of Oncology, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Dingsheng Peng
- Department of Radiation Oncology, Huizhou Central People's Hospital, Huizhou, PR China
| | - Xinhui Zhou
- State Key Laboratory of Oncology, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Wendie Hu
- State Key Laboratory of Oncology, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Fengyan Li
- State Key Laboratory of Oncology, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
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15
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Schmidt MK, Lips EH, Schmitz RS, Verschuur E, Wesseling J. Invasive breast cancer and breast cancer death after non-screen detected ductal carcinoma in situ. BMJ 2024; 384:q22. [PMID: 38267067 DOI: 10.1136/bmj.q22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Affiliation(s)
- Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Netherlands
- Leiden University Medical Center, Leiden, Netherlands
| | - Esther H Lips
- Division of Molecular Pathology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Netherlands
| | - Renée Sjm Schmitz
- Division of Molecular Pathology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Netherlands
- Leiden University Medical Center, Leiden, Netherlands
| | | | - Jelle Wesseling
- Division of Molecular Pathology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Netherlands
- Leiden University Medical Center, Leiden, Netherlands
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16
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Mannu GS, Wang Z, Dodwell D, Broggio J, Charman J, Darby SC. Invasive breast cancer and breast cancer death after non-screen detected ductal carcinoma in situ from 1990 to 2018 in England: population based cohort study. BMJ 2024; 384:e075498. [PMID: 38267073 PMCID: PMC10806881 DOI: 10.1136/bmj-2023-075498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/16/2023] [Indexed: 01/26/2024]
Abstract
OBJECTIVES To evaluate the long term risks of invasive breast cancer and death related to breast cancer after non-screen detected ductal carcinoma in situ. Risks for women in the general population and for women diagnosed with ductal carcinoma in situ via the screening programme were compared. DESIGN Population based cohort study. SETTING Data from the National Disease Registration Service. PARTICIPANTS All 27 543 women in England who were diagnosed with ductal carcinoma in situ, outside the NHS breast screening programme, during 1990 to 2018. MAIN OUTCOME MEASURES Incident invasive breast cancer and death caused by breast cancer. RESULTS By 31 December 2018, 3651 women with non-screen detected ductal carcinoma in situ had developed invasive breast cancer, more than four times higher than expected from national cancer incidence rates (ratio of observed to expected rate was 4.21 (95% conference interval 4.07 to 4.35)). The ratio of observed to expected rate of developing invasive breast cancer remained increased throughout follow-up among women aged <45-70 years. The 25 year cumulative risks of invasive breast cancer by age at diagnosis of ductal carcinoma in situ were 27.3% for <45 years, 25.2% for 45-49 years, 21.7% for 50-59 years, and 20.8% for 60-70 years. 908 women died of breast cancer, almost four times higher than that expected from breast cancer death rates in the general population (ratio of observed to expected rate 3.83 (3.59 to 4.09)). The ratio of observed to expected rate of mortality attributed to breast cancer remained increased throughout follow-up. The 25 year cumulative risks of breast cancer death by age at ductal carcinoma in situ diagnosis were 7.6% for <45 years, 5.8% for 45-49 years, 5.9% for 50-59 years, and 6.2% for 60-70 years. Among women aged 50-64 years, and therefore eligible for breast screening by the NHS, the ratio of observed to expected rate of invasive breast cancer in women with non-screen detected compared with screen detected ductal carcinoma in situ was 1.26 (95% conference interval 1.17 to 1.35), while the ratio for mortality from breast cancer was 1.37 (1.17 to 1.60). Among 22 753 women with unilateral ductal carcinoma in situ undergoing surgery, those who had mastectomy rather than breast conserving surgery had a lower 25 year cumulative rate of ipsilateral invasive breast cancer (mastectomy 8.2% (95% conference interval 7.0% to 9.4%), breast conserving surgery with radiotherapy 19.8% (16.2% to 23.4%), and breast conserving surgery with no radiotherapy recorded 20.6% (18.7% to 22.4%)). However, reductions did not translate into a lower 25 year cumulative rate of deaths attributable to breast cancer (mastectomy 6.5% (4.9% to 10.9%), breast conserving surgery with radiotherapy 8.6% (5.9% to 15.5%), breast conserving surgery with no radiotherapy recorded 7.8% (6.3% to 11.5%)). CONCLUSIONS For at least 25 years after their diagnosis, women with non-screen detected ductal carcinoma in situ had higher long term risks of invasive breast cancer and breast cancer death than women in the general population. Additionally, they had higher long term risks than women with screen detected ductal carcinoma in situ. Mastectomy was associated with lower risks of invasive breast cancer than breast conserving surgery, even when accompanied by radiotherapy. However, risks of breast cancer death appeared similar for mastectomy, breast conserving surgery with radiotherapy, and breast conserving surgery with no radiotherapy recorded.
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Affiliation(s)
- Gurdeep S Mannu
- Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
- Nuffield Department of Surgical Sciences, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - Zhe Wang
- Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - David Dodwell
- Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
| | - John Broggio
- National Disease Registration Service, NHS England, Birmingham, UK
| | - Jackie Charman
- National Disease Registration Service, NHS England, Birmingham, UK
| | - Sarah C Darby
- Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, UK
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O’Keefe T, Yau C, Iaconetti E, Jeong E, Brabham C, Kim P, McGuire J, Griffin A, Wallace A, Esserman L, Harismendy O, Hirst G. Duration of Endocrine Treatment for DCIS impacts second events: Insights from a large cohort of cases at two academic medical centers. RESEARCH SQUARE 2024:rs.3.rs-3403438. [PMID: 38260526 PMCID: PMC10802747 DOI: 10.21203/rs.3.rs-3403438/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Ductal carcinoma in situ (DCIS) incidence has risen rapidly with the introduction of screening mammography, yet 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 registry of retrospective DCIS cases (N = 1,916) with median follow up of 8.2 years. We show that patients with DCIS who took less than 2 years of adjuvant ET alone have a similar second event rate as BCS. However, patients 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.
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Affiliation(s)
- Thomas O’Keefe
- Department of Surgery, University of California, San Diego
| | - Christina Yau
- Department of Surgery, University of California, San Francisco, CA
| | - Emma Iaconetti
- Department of Surgery, University of California, San Francisco, CA
| | - Eliza Jeong
- Moores Cancer Center, Division of Biomedical Informatics, UCSD School of
Medicine University of California, San Diego, La Jolla, CA
| | - Case Brabham
- Department of Surgery, University of California, San Francisco, CA
| | - Paul Kim
- Department of Surgery, University of California, San Francisco, CA
| | | | - Ann Griffin
- UCSF Helen Diller Family Comprehensive Cancer Center
| | - Anne Wallace
- Department of Surgery, University of California, San Diego
| | - Laura Esserman
- Department of Surgery, University of California, San Francisco, CA
| | - Olivier Harismendy
- Moores Cancer Center, Division of Biomedical Informatics, UCSD School of
Medicine University of California, San Diego, La Jolla, CA
| | - Gillian Hirst
- Department of Surgery, University of California, San Francisco, CA
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Rossou C, Alampritis G, Patel B. Reducing re-excision rates in breast conserving surgery with Margin Probe: systematic review. Br J Surg 2024; 111:znad335. [PMID: 37991190 PMCID: PMC10776367 DOI: 10.1093/bjs/znad335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 08/21/2023] [Accepted: 09/28/2023] [Indexed: 11/23/2023]
Abstract
INTRODUCTION Different intraoperative techniques with varying levels of evidence are available to decrease positive surgical margins during breast conserving surgery. The aim of this review is to assess the effectiveness of the MarginProbe® device as an intraoperative adjunct tool in reducing positive surgical margins, and subsequently exploring the effect on patient re-excision rates. METHODOLOGY A systematic review of the available medical literature was conducted from 2007 to March 2022. A literature search of Cochrane, PubMed and Embase by two independent reviewers reviwers was performed to identify eligible articles looking at the primary outcome of percentage reduction in patient re-excision rates using MarginProbe®. Secondary outcomes analysed were comparison of tissue volume removed, absolute and relative reduction in re-excision rate, cosmetic outcome, as well as MarginProbe® sensitivity and specificity. RESULTS A total of 12 full text articles were identified. An independent samples t-test using a total of 2680 patients found a 54.68 per cent reduction in re-excision rate with the use of MarginProbe®, which was statistically significant with a large effect size (P < 0.001; d = 1.826). Secondary outcomes showed a relatively higher sensitivity of the MarginProbe® device, at the expense of decreased specificity, and no significant impact on cosmesis and volume of breast tissue excised. CONCLUSION MarginProbe® is an effective intraoperative adjunct in breast-conservation surgery that reduces patient re-excision rates, with no adverse effects relating to breast cosmesis or increase in volume of excised tissue.
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Affiliation(s)
- Chara Rossou
- Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Georgios Alampritis
- Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
| | - Bijendra Patel
- Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK
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Ebrahimnejad P, Mohammadi Z, Babaei A, Ahmadi M, Amirkhanloo S, Asare-Addo K, Nokhodchid A. Novel Strategies Using Sagacious Targeting for Site-Specific Drug Delivery in Breast Cancer Treatment: Clinical Potential and Applications. Crit Rev Ther Drug Carrier Syst 2024; 41:35-84. [PMID: 37824418 DOI: 10.1615/critrevtherdrugcarriersyst.v41.i1.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
For more than a decade, researchers have been working to achieve new strategies and smart targeting drug delivery techniques and technologies to treat breast cancer (BC). Nanotechnology presents a hopeful strategy for targeted drug delivery into the building of new therapeutics using the properties of nanomaterials. Nanoparticles are of high regard in the field of diagnosis and the treatment of cancer. The use of these nanoparticles as an encouraging approach in the treatment of various cancers has drawn the interest of researchers in recent years. In order to achieve the maximum therapeutic effectiveness in the treatment of BC, combination therapy has also been adopted, leading to minimal side effects and thus an enhancement in the quality of life for patients. This review article compares, discusses and criticizes the approaches to treat BC using novel design strategies and smart targeting of site-specific drug delivery systems.
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Affiliation(s)
- Pedram Ebrahimnejad
- Department of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran; Pharmaceutical Sciences Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Sari, Iran
| | - Zahra Mohammadi
- Department of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran
| | - Amirhossein Babaei
- Department of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran
| | - Melika Ahmadi
- Department of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran
| | - Shervin Amirkhanloo
- Department of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran
| | - Kofi Asare-Addo
- Department of Pharmacy, University of Huddersfield, Huddersfield, UK
| | - Ali Nokhodchid
- Lupin Pharmaceutical Research Center, Coral Springs, Florida, USA; Pharmaceutics Research Lab, Arundel Building, School of Life Sciences, University of Sussex, Brighton, UK
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20
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Khan SA, Mi X, Xu Y, Blanco LZ, Akasha AM, Pilewskie M, Degnim AC, AlHilli Z, Amin AL, Hwang ES, Guenther JM, Kocherginsky M, Benante K, Zhang S, Helland T, Hustad SS, Gursel DB, Mellgren G, Dimond E, Perloff M, Heckman-Stoddard BM, Lee O. Presurgical Oral Tamoxifen vs Transdermal 4-Hydroxytamoxifen in Women With Ductal Carcinoma In Situ: A Randomized Clinical Trial. JAMA Surg 2023; 158:1265-1273. [PMID: 37870954 PMCID: PMC10594180 DOI: 10.1001/jamasurg.2023.5113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/16/2023] [Indexed: 10/25/2023]
Abstract
Importance Oral tamoxifen citrate benefits women with ductal carcinoma in situ (DCIS), but concern about toxic effects has limited acceptance. Previous pilot studies have suggested transdermal 4-hydroxytamoxifen gel has equivalent antiproliferative efficacy to oral tamoxifen, with low systemic exposure. Objective To demonstrate that 4-hydroxytamoxifen gel applied to the breast skin is noninferior to oral tamoxifen in its antiproliferative effect in DCIS lesions. Design, Setting, and Participants This randomized, double-blind, phase 2 preoperative window trial was performed at multicenter breast surgery referral practices from May 31, 2017, to January 27, 2021. Among 408 women with estrogen receptor-positive DCIS who were approached, 120 consented and 100 initiated study treatment. The most common reasons for nonparticipation were surgical delay, disinterest in research, and concerns about toxic effects. Data were analyzed from January 26, 2021, to October 5, 2022. Intervention Random assignment to oral tamoxifen citrate, 20 mg/d, and gel placebo or 4-hydroxytamoxifen gel, 2 mg/d per breast, and oral placebo, for 4 to 10 weeks, followed by DCIS resection. Main Outcomes and Measures The primary end point was absolute change in DCIS Ki-67 labeling index (Ki67-LI). Secondary end points included 12-gene DCIS Score, breast tissue tamoxifen metabolite concentrations, tamoxifen-responsive plasma protein levels, and patient-reported symptoms. Noninferiority of Ki67-LI reduction by 4-hydroxytamoxifen gel was tested using analysis of covariance; within- and between-arm comparisons were performed with paired t tests for mean values or the Wilcoxon rank sum test for medians. Results Of 90 participants completing treatment (mean [SD] age, 55 [11] years; 8 [8.9%] Asian, 16 [17.8%] Black, 8 [8.9%] Latina, and 53 [58.9%] White), 15 lacked residual DCIS in the surgical sample, leaving 75 evaluable for the primary end point analysis (40 in the oral tamoxifen group and 35 in the 4-hydroxytamoxifen gel group). Posttreatment Ki67-LI was 3.3% higher (80% CI, 2.1%-4.6%) in the 4-hydroxytamoxifen gel group compared with the oral tamoxifen group, exceeding the noninferiority margin (2.6%). The DCIS Score decreased more with oral tamoxifen treatment (-16 [95% CI, -22 to -9.4]) than with 4-hydroxytamoxifen gel (-1.8 [95% CI, -5.8 to 2.3]). The median 4-hydroxytamoxifen concentrations deep in the breast were nonsignificantly higher in the oral tamoxifen group (5.7 [IQR, 4.0-7.9] vs 3.8 [IQR, 1.3-7.9] ng/g), whereas endoxifen was abundant in the oral tamoxifen group and minimal in the 4-hydroxytamoxifen gel group (median, 13.0 [IQR, 8.9-20.6] vs 0.3 [IQR, 0-0.3] ng/g; P < .001). Oral tamoxifen caused expected adverse changes in plasma protein levels and vasomotor symptoms, with minimal changes in the transdermal group. Conclusions and Relevance In this randomized clinical trial, antiproliferative noninferiority of 4-hydroxytamoxifen gel to oral tamoxifen was not confirmed, potentially owing to endoxifen exposure differences. New transdermal approaches must deliver higher drug quantities and/or include the most potent metabolites. Trial Registration ClinicalTrials.gov Identifier: NCT02993159.
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Affiliation(s)
- Seema A. Khan
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Xinlei Mi
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Yanfei Xu
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Luis Z. Blanco
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Azza M. Akasha
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Amy C. Degnim
- Department of Surgery, Mayo Clinic, Rochester, Minnesota
| | - Zahraa AlHilli
- Department of Surgery, Cleveland Clinic, Cleveland, Ohio
| | - Amanda L. Amin
- Department of Surgery, University Hospitals, Cleveland, Ohio
| | - E. Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
| | | | - Masha Kocherginsky
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Kelly Benante
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Shanshan Zhang
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Thomas Helland
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | | | - Demirkan B. Gursel
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Gunnar Mellgren
- Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | - Eileen Dimond
- Division of Cancer Prevention, National Cancer Institute Bethesda, Maryland
| | - Marjorie Perloff
- Division of Cancer Prevention, National Cancer Institute Bethesda, Maryland
| | | | - Oukseub Lee
- Department of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois
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21
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Hill H, Kearns B, Pashayan N, Roadevin C, Sasieni P, Offman J, Duffy S. The cost-effectiveness of risk-stratified breast cancer screening in the UK. Br J Cancer 2023; 129:1801-1809. [PMID: 37848734 PMCID: PMC10667489 DOI: 10.1038/s41416-023-02461-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 09/09/2023] [Accepted: 10/04/2023] [Indexed: 10/19/2023] Open
Abstract
BACKGROUND There has been growing interest in the UK and internationally of risk-stratified breast screening whereby individualised risk assessment may inform screening frequency, starting age, screening instrument used, or even decisions not to screen. This study evaluates the cost-effectiveness of eight proposals for risk-stratified screening regimens compared to both the current UK screening programme and no national screening. METHODS A person-level microsimulation model was developed to estimate health-related quality of life, cancer survival and NHS costs over the lifetime of the female population eligible for screening in the UK. RESULTS Compared with both the current screening programme and no screening, risk-stratified regimens generated additional costs and QALYs, and had a larger net health benefit. The likelihood of the current screening programme being the optimal scenario was less than 1%. No screening amongst the lowest risk group, and triannual, biennial and annual screening amongst the three higher risk groups was the optimal screening strategy from those evaluated. CONCLUSIONS We found that risk-stratified breast cancer screening has the potential to be beneficial for women at the population level, but the net health benefit will depend on the particular risk-based strategy.
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Affiliation(s)
- Harry Hill
- School of Medicine and Population Health, University of Sheffield, Sheffield, England.
| | - Ben Kearns
- School of Medicine and Population Health, University of Sheffield, Sheffield, England
- Lumanity Inc, Sheffield, England
| | - Nora Pashayan
- Department of Applied Health Research, University College London, London, England
| | - Cristina Roadevin
- Nottingham Clinical Trials Unit, University of Nottingham, Nottingham, England
| | - Peter Sasieni
- Life Sciences & Medicine, King's College London, London, England
- Wolfson Institute of Population Health, Queen Mary University of London, London, England
| | - Judith Offman
- Life Sciences & Medicine, King's College London, London, England
- Wolfson Institute of Population Health, Queen Mary University of London, London, England
| | - Stephen Duffy
- Wolfson Institute of Population Health, Queen Mary University of London, London, England
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22
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Schmitz RSJM, van den Belt-Dusebout AW, Clements K, Ren Y, Cresta C, Timbres J, Liu YH, Byng D, Lynch T, Menegaz BA, Collyar D, Hyslop T, Thomas S, Love JK, Schaapveld M, Bhattacharjee P, Ryser MD, Sawyer E, Hwang ES, Thompson A, Wesseling J, Lips EH, Schmidt MK. Association of DCIS size and margin status with risk of developing breast cancer post-treatment: multinational, pooled cohort study. BMJ 2023; 383:e076022. [PMID: 37903527 PMCID: PMC10614034 DOI: 10.1136/bmj-2023-076022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/27/2023] [Indexed: 11/01/2023]
Abstract
OBJECTIVE To 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 and subtype of ipsilateral invasive breast cancer. DESIGN Multinational, pooled cohort study. SETTING Four large international cohorts. PARTICIPANTS Patient level data on 47 695 women with a diagnosis of pure, primary DCIS between 1999 and 2017 in the Netherlands, UK, and US who underwent surgery, either breast conserving or mastectomy, often followed by radiotherapy or endocrine treatment, or both. MAIN OUTCOME MEASURES The main outcomes were 10 year cumulative incidence of ipsilateral invasive breast cancer and ipsilateral DCIS estimated in relation to DCIS size and margin status, and adjusted hazard ratios and 95% confidence intervals, estimated using multivariable Cox proportional hazards analyses with multiple imputed data RESULTS: The 10 year cumulative incidence of ipsilateral invasive breast cancer was 3.2%. In women who underwent breast conserving surgery with or without radiotherapy, only adjusted risks for ipsilateral DCIS were significantly increased for larger DCIS (20-49 mm) compared with DCIS <20 mm (hazard ratio 1.38, 95% confidence interval 1.11 to 1.72). Risks for both ipsilateral invasive breast cancer and ipsilateral DCIS were significantly higher with involved compared with clear margins (invasive breast cancer 1.40, 1.07 to 1.83; DCIS 1.39, 1.04 to 1.87). Use of adjuvant endocrine treatment was not significantly associated with a lower risk of ipsilateral invasive breast cancer compared to treatment with breast conserving surgery only (0.86, 0.62 to 1.21). In women who received breast conserving treatment with or without radiotherapy, higher DCIS grade was not significantly associated with ipsilateral invasive breast cancer, only with a higher risk of ipsilateral DCIS (grade 1: 1.42, 1.08 to 1.87; grade 3: 2.17, 1.66 to 2.83). Higher age at diagnosis was associated with lower risk (per year) of ipsilateral DCIS (0.98, 0.97 to 0.99) but not ipsilateral invasive breast cancer (1.00, 0.99 to 1.00). Women with large DCIS (≥50 mm) more often developed stage III and IV ipsilateral invasive breast cancer compared to women with DCIS <20 mm. No such association was found between involved margins and higher stage of ipsilateral invasive breast cancer. Associations between larger DCIS and hormone receptor negative and human epidermal growth factor receptor 2 positive ipsilateral invasive breast cancer and involved margins and hormone receptor negative ipsilateral invasive breast cancer were found. CONCLUSIONS The association of DCIS size and margin status with ipsilateral invasive breast cancer and ipsilateral DCIS was small. When these two factors were added to other known risk factors in multivariable models, clinicopathological risk factors alone were found to be limited in discriminating between low and high risk DCIS.
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Affiliation(s)
- Renée S J M Schmitz
- Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, Netherlands
| | | | | | - Yi Ren
- Department of Biostatistics and Bioinformatics, Biostatistics Shared Resource Duke Cancer Institute, Durham, NC, USA
| | - Chiara Cresta
- Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, Netherlands
| | - Jasmine Timbres
- School of Cancer and Pharmaceutical Science, King's College London, London, UK
| | - Yat-Hee Liu
- Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, Netherlands
| | - Danalyn Byng
- Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA
| | - Thomas Lynch
- Department of Surgery, Duke Cancer Institute, Durham, NC, USA
| | - Brian A Menegaz
- Department of Surgical Oncology, Baylor College of Medicine, Houston, TX, USA
| | | | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Biostatistics Shared Resource Duke Cancer Institute, Durham, NC, USA
| | - Samantha Thomas
- Department of Biostatistics and Bioinformatics, Biostatistics Shared Resource Duke Cancer Institute, Durham, NC, USA
| | - Jason K Love
- Department of Breast Surgical Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Schaapveld
- Division of Psycho-oncology and Epidemiology, Netherlands Cancer Institute- Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands
| | - Proteeti Bhattacharjee
- Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, Netherlands
| | - Marc D Ryser
- Department of Population Health Sciences, Duke University Medical Center, Durham, NC, USA
- Department of Mathematics, Duke University, Durham, NC, USA
| | - Elinor Sawyer
- School of Cancer and Pharmaceutical Science, King's College London, London, UK
| | - E Shelley Hwang
- Department of Surgery, Duke Cancer Institute, Durham, NC, USA
| | - Alastair Thompson
- Department of Surgical Oncology, Baylor College of Medicine, Houston, TX, USA
| | - Jelle Wesseling
- Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, Netherlands
- Division of Diagnostic Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands
- Department of Pathology, Leiden University Medical Centre, Leiden, Netherlands
| | - Esther H Lips
- Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, Netherlands
| | - Marjanka K Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, 1066 Amsterdam, Netherlands
- Department of Clinical Genetics, Leiden University Medical Centre, Leiden, Netherlands
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23
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Timbres J, Kohut K, Caneppele M, Troy M, Schmidt MK, Roylance R, Sawyer E. DCIS and LCIS: Are the Risk Factors for Developing In Situ Breast Cancer Different? Cancers (Basel) 2023; 15:4397. [PMID: 37686673 PMCID: PMC10486708 DOI: 10.3390/cancers15174397] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/09/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
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.
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Affiliation(s)
- Jasmine Timbres
- Breast Cancer Genetics, King’s College London, London SE1 9RT, UK
| | - Kelly Kohut
- St George’s University Hospitals NHS Foundation Trust, Blackshaw Rd, London SW17 0QT, UK
| | | | - Maria Troy
- Guy’s and St Thomas’ NHS Foundation Trust, Great Maze Pond, London SE1 9RT, UK
| | - Marjanka K. Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
- Department of Clinical Genetics, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands
| | - Rebecca Roylance
- University College London Hospitals NHS Foundation Trust, 235 Euston Rd., London NW1 2BU, UK
| | - Elinor Sawyer
- Breast Cancer Genetics, King’s College London, London SE1 9RT, UK
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24
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Jatoi I, Shaaban AM, Jou E, Benson JR. The Biology and Management of Ductal Carcinoma in Situ of the Breast. Curr Probl Surg 2023; 60:101361. [PMID: 37596033 DOI: 10.1016/j.cpsurg.2023.101361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 06/27/2023] [Indexed: 08/20/2023]
Affiliation(s)
- Ismail Jatoi
- Division of Surgical Oncology and Endocrine Surgery, University of Texas Health Science Center, San Antonio, TX.
| | - Abeer M Shaaban
- Department of Cellular Pathology, Queen Elizabeth Hospital Birmingham and Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Eric Jou
- Oxford University Hospitals NHS Trust, University of Oxford, Oxford, UK
| | - John R Benson
- Addenbrooke's Hospital, University of Cambridge, Cambridge; School of Medicine, Anglia Ruskin University, Cambridge and Chelmsford, UK
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25
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Gram EG, Manso TFR, Heleno B, Siersma V, Á Rogvi J, Brodersen JB. The long-term psychosocial consequences of screen-detected ductal carcinoma in situ and invasive breast cancer. Breast 2023; 70:41-48. [PMID: 37307773 DOI: 10.1016/j.breast.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/06/2023] [Accepted: 06/07/2023] [Indexed: 06/14/2023] Open
Abstract
OBJECTIVE Ductal carcinoma in situ (DCIS) is a risk factor for invasive breast cancer (IBC). The prognosis of DCIS is considerably better than for IBC, yet women do not distinguish between the threat. We aimed to compare the psychosocial consequences of screen-detected DCIS and IBC, and to examine this comparison over time. METHODS We surveyed a Danish mammography-screening cohort from 2004 to 2018. We assessed outcomes at six-time points: baseline, 1, 6, 18, 36 months, and 14 years after the screening. We measured psychosocial consequences with the Consequences Of Screening - Breast Cancer (COS-BC): a condition-specific questionnaire that is psychometrically validated and encompasses 14 psychosocial dimensions. We used weighted linear models with generalized estimating equations to compare responses between groups. We used a 1% level of significance. RESULTS 170 out of 1309 women were diagnosed with breast cancer (13.0%). 23 were diagnosed with DCIS (13.5%) and 147 with IBC (86.5%). From baseline to six months after diagnosis, there were no significant differences between women with DCIS and IBC. However, mean scores indicated that IBC generally was more affected than DCIS. After six months, we observed that women with DCIS and IBC might be affected differently in the long term; mean scores and mean differences showed that IBC were more affected on some scales, while DCIS were on others. CONCLUSION Overall, the DCIS and IBC experienced similar levels of psychosocial consequences. Women might benefit from renaming DCIS to exclude cancer nomenclature.
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Affiliation(s)
- Emma Grundtvig Gram
- Center for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Primary Health Care Research Unit, Region Zealand, Denmark.
| | - Túlia Filipa Roberto Manso
- Center for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Department of Geriatric and Palliative Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region of Denmark, Denmark
| | - Bruno Heleno
- Center for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; CHRC, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Volkert Siersma
- Center for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jessica Á Rogvi
- Center for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - John Brandt Brodersen
- Center for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark; Primary Health Care Research Unit, Region Zealand, Denmark; Research Unit for General Practice, Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Tromsø, Norway
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26
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Lobo CL, Shetty A, M M, Dubey A, El-Zahaby SA. Non-systemic Approaches for Ductal Carcinoma In Situ: Exploring the Potential of Ultra-flexible Combisomes as a Novel Drug Delivery Strategy-a Review. AAPS PharmSciTech 2023; 24:119. [PMID: 37173545 DOI: 10.1208/s12249-023-02574-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/25/2023] [Indexed: 05/15/2023] Open
Abstract
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.
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Affiliation(s)
- Cynthia Lizzie Lobo
- Nitte (Deemed to be University), NGSM Institute of Pharmaceutical Sciences, Department of Pharmaceutics, Deralakatte, Mangalore, 575018, India
| | - Amitha Shetty
- Nitte (Deemed to be University), NGSM Institute of Pharmaceutical Sciences, Department of Pharmaceutics, Deralakatte, Mangalore, 575018, India
| | - Manohar M
- Nitte (Deemed to be University), NGSM Institute of Pharmaceutical Sciences, Department of Pharmaceutics, Deralakatte, Mangalore, 575018, India
| | - Akhilesh Dubey
- Nitte (Deemed to be University), NGSM Institute of Pharmaceutical Sciences, Department of Pharmaceutics, Deralakatte, Mangalore, 575018, India.
| | - Sally A El-Zahaby
- Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, King Salman International University, South Sinai, Egypt
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27
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Clift AK, Dodwell D, Lord S, Petrou S, Brady M, Collins GS, Hippisley-Cox J. Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study. BMJ 2023; 381:e073800. [PMID: 37164379 PMCID: PMC10170264 DOI: 10.1136/bmj-2022-073800] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/28/2023] [Indexed: 05/12/2023]
Abstract
OBJECTIVE To develop a clinically useful model that estimates the 10 year risk of breast cancer related mortality in women (self-reported female sex) with breast cancer of any stage, comparing results from regression and machine learning approaches. DESIGN Population based cohort study. SETTING QResearch primary care database in England, with individual level linkage to the national cancer registry, Hospital Episodes Statistics, and national mortality registers. PARTICIPANTS 141 765 women aged 20 years and older with a diagnosis of invasive breast cancer between 1 January 2000 and 31 December 2020. MAIN OUTCOME MEASURES Four model building strategies comprising two regression (Cox proportional hazards and competing risks regression) and two machine learning (XGBoost and an artificial neural network) approaches. Internal-external cross validation was used for model evaluation. Random effects meta-analysis that pooled estimates of discrimination and calibration metrics, calibration plots, and decision curve analysis were used to assess model performance, transportability, and clinical utility. RESULTS During a median 4.16 years (interquartile range 1.76-8.26) of follow-up, 21 688 breast cancer related deaths and 11 454 deaths from other causes occurred. Restricting to 10 years maximum follow-up from breast cancer diagnosis, 20 367 breast cancer related deaths occurred during a total of 688 564.81 person years. The crude breast cancer mortality rate was 295.79 per 10 000 person years (95% confidence interval 291.75 to 299.88). Predictors varied for each regression model, but both Cox and competing risks models included age at diagnosis, body mass index, smoking status, route to diagnosis, hormone receptor status, cancer stage, and grade of breast cancer. The Cox model's random effects meta-analysis pooled estimate for Harrell's C index was the highest of any model at 0.858 (95% confidence interval 0.853 to 0.864, and 95% prediction interval 0.843 to 0.873). It appeared acceptably calibrated on calibration plots. The competing risks regression model had good discrimination: pooled Harrell's C index 0.849 (0.839 to 0.859, and 0.821 to 0.876, and evidence of systematic miscalibration on summary metrics was lacking. The machine learning models had acceptable discrimination overall (Harrell's C index: XGBoost 0.821 (0.813 to 0.828, and 0.805 to 0.837); neural network 0.847 (0.835 to 0.858, and 0.816 to 0.878)), but had more complex patterns of miscalibration and more variable regional and stage specific performance. Decision curve analysis suggested that the Cox and competing risks regression models tested may have higher clinical utility than the two machine learning approaches. CONCLUSION In women with breast cancer of any stage, using the predictors available in this dataset, regression based methods had better and more consistent performance compared with machine learning approaches and may be worthy of further evaluation for potential clinical use, such as for stratified follow-up.
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Affiliation(s)
- Ash Kieran Clift
- Cancer Research UK Oxford Centre, Oxford, UK
- Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, University of Oxford, Oxford OX2 6GG, UK
| | - David Dodwell
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Simon Lord
- Department of Oncology, University of Oxford, Oxford, UK
| | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, University of Oxford, Oxford OX2 6GG, UK
| | - Michael Brady
- Department of Oncology, University of Oxford, Oxford, UK
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, University of Oxford, Oxford OX2 6GG, UK
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28
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Neagu AN, Whitham D, Seymour L, Haaker N, Pelkey I, Darie CC. Proteomics-Based Identification of Dysregulated Proteins and Biomarker Discovery in Invasive Ductal Carcinoma, the Most Common Breast Cancer Subtype. Proteomes 2023; 11:13. [PMID: 37092454 PMCID: PMC10123686 DOI: 10.3390/proteomes11020013] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Abstract
Invasive ductal carcinoma (IDC) is the most common histological subtype of malignant breast cancer (BC), and accounts for 70-80% of all invasive BCs. IDC demonstrates great heterogeneity in clinical and histopathological characteristics, prognoses, treatment strategies, gene expressions, and proteomic profiles. Significant proteomic determinants of the progression from intraductal pre-invasive malignant lesions of the breast, which characterize a ductal carcinoma in situ (DCIS), to IDC, are still poorly identified, validated, and clinically applied. In the era of "6P" medicine, it remains a great challenge to determine which patients should be over-treated versus which need to be actively monitored without aggressive treatment. The major difficulties for designating DCIS to IDC progression may be solved by understanding the integrated genomic, transcriptomic, and proteomic bases of invasion. In this review, we showed that multiple proteomics-based techniques, such as LC-MS/MS, MALDI-ToF MS, SELDI-ToF-MS, MALDI-ToF/ToF MS, MALDI-MSI or MasSpec Pen, applied to in-tissue, off-tissue, BC cell lines and liquid biopsies, improve the diagnosis of IDC, as well as its prognosis and treatment monitoring. Classic proteomics strategies that allow the identification of dysregulated protein expressions, biological processes, and interrelated pathway analyses based on aberrant protein-protein interaction (PPI) networks have been improved to perform non-invasive/minimally invasive biomarker detection of early-stage IDC. Thus, in modern surgical oncology, highly sensitive, rapid, and accurate MS-based detection has been coupled with "proteome point sampling" methods that allow for proteomic profiling by in vivo "proteome point characterization", or by minimal tissue removal, for ex vivo accurate differentiation and delimitation of IDC. For the detection of low-molecular-weight proteins and protein fragments in bodily fluids, LC-MS/MS and MALDI-MS techniques may be coupled to enrich and capture methods which allow for the identification of early-stage IDC protein biomarkers that were previously invisible for MS-based techniques. Moreover, the detection and characterization of protein isoforms, including posttranslational modifications of proteins (PTMs), is also essential to emphasize specific molecular mechanisms, and to assure the early-stage detection of IDC of the breast.
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Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, “Alexandru Ioan Cuza” University of Iasi, Carol I bvd. No. 20A, 700505 Iasi, Romania
| | - Danielle Whitham
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Logan Seymour
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Norman Haaker
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Isabella Pelkey
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
| | - Costel C. Darie
- Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, Potsdam, NY 13699-5810, USA
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Jenkinson GP, Houghton N, van Zalk N, Waller J, Bello F, Tzemanaki A. Acceptability of Automated Robotic Clinical Breast Examination: Survey Study. J Particip Med 2023; 15:e42704. [PMID: 37010907 PMCID: PMC10131668 DOI: 10.2196/42704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 01/14/2023] [Accepted: 02/20/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND In the United Kingdom, women aged 50 to 70 years are invited to undergo mammography. However, 10% of invasive breast cancers occur in women aged ≤45 years, representing an unmet need for young women. Identifying a suitable screening modality for this population is challenging; mammography is insufficiently sensitive, whereas alternative diagnostic methods are invasive or costly. Robotic clinical breast examination (R-CBE)-using soft robotic technology and machine learning for fully automated clinical breast examination-is a theoretically promising screening modality with early prototypes under development. Understanding the perspectives of potential users and partnering with patients in the design process from the outset is essential for ensuring the patient-centered design and implementation of this technology. OBJECTIVE This study investigated the attitudes and perspectives of women regarding the use of soft robotics and intelligent systems in breast cancer screening. It aimed to determine whether such technology is theoretically acceptable to potential users and identify aspects of the technology and implementation system that are priorities for patients, allowing these to be integrated into technology design. METHODS This study used a mixed methods design. We conducted a 30-minute web-based survey with 155 women in the United Kingdom. The survey comprised an overview of the proposed concept followed by 5 open-ended questions and 17 closed questions. Respondents were recruited through a web-based survey linked to the Cancer Research United Kingdom patient involvement opportunities web page and distributed through research networks' mailing lists. Qualitative data generated via the open-ended questions were analyzed using thematic analysis. Quantitative data were analyzed using 2-sample Kolmogorov-Smirnov tests, 1-tailed t tests, and Pearson coefficients. RESULTS Most respondents (143/155, 92.3%) indicated that they would definitely or probably use R-CBE, with 82.6% (128/155) willing to be examined for up to 15 minutes. The most popular location for R-CBE was at a primary care setting, whereas the most accepted method for receiving the results was an on-screen display (with an option to print information) immediately after the examination. Thematic analysis of free-text responses identified the following 7 themes: women perceive that R-CBE has the potential to address limitations in current screening services; R-CBE may facilitate increased user choice and autonomy; ethical motivations for supporting R-CBE development; accuracy (and users' perceptions of accuracy) is essential; results management with clear communication is a priority for users; device usability is important; and integration with health services is key. CONCLUSIONS There is a high potential for the acceptance of R-CBE in its target user group and a high concordance between user expectations and technological feasibility. Early patient participation in the design process allowed the authors to identify key development priorities for ensuring that this new technology meets the needs of users. Ongoing patient and public involvement at each development stage is essential.
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Affiliation(s)
- George P Jenkinson
- Bristol Robotics Laboratory, Department of Mechanical Engineering, University of Bristol, Bristol, United Kingdom
| | - Natasha Houghton
- Centre for Engagement and Simulation Science, Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Nejra van Zalk
- Dyson School of Design Engineering, Imperial College London, London, United Kingdom
| | - Jo Waller
- Cancer Prevention Group, School of Cancer & Pharmaceutical Sciences, King's College London, London, United Kingdom
| | - Fernando Bello
- Centre for Engagement and Simulation Science, Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Antonia Tzemanaki
- Bristol Robotics Laboratory, Department of Mechanical Engineering, University of Bristol, Bristol, United Kingdom
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30
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Byng D, Thomas SM, Rushing CN, Lynch T, McCarthy A, Francescatti AB, Frank ES, Partridge AH, Thompson AM, Retèl VP, van Harten WH, Grimm LJ, Hyslop T, Hwang ES, Ryser MD. Surveillance Imaging after Primary Diagnosis of Ductal Carcinoma in Situ. Radiology 2023; 307:e221210. [PMID: 36625746 PMCID: PMC10068891 DOI: 10.1148/radiol.221210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 10/13/2022] [Accepted: 11/11/2022] [Indexed: 01/11/2023]
Abstract
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.
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Affiliation(s)
- Danalyn Byng
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Samantha M. Thomas
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Christel N. Rushing
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Thomas Lynch
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Anne McCarthy
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Amanda B. Francescatti
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Elizabeth S. Frank
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Ann H. Partridge
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Alastair M. Thompson
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Valesca P. Retèl
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Wim H. van Harten
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Lars J. Grimm
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Terry Hyslop
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - E. Shelley Hwang
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
| | - Marc D. Ryser
- From the Division of Psychosocial Research and Epidemiology, the
Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam,
the Netherlands (D.B., V.P.R., W.H.v.H.); Health Technology and Services
Research Department, Technical Medical Centre, University of Twente, Enschede,
the Netherlands (D.B., V.P.R., W.H.v.H.); Duke Cancer Institute Biostatistics
Shared Resource (S.M.T., C.N.R., T.H.) and Department of Mathematics (M.D.R.),
Duke University, Durham, NC; Department of Biostatistics and Bioinformatics
(S.M.T., T.H.), Division of Surgical Sciences, Department of Surgery (T.L.,
E.S.H.), Department of Radiology (L.J.G.), and Department of Population Health
Sciences (M.D.R.), Duke University Medical Center, 215 Morris St, Durham, NC
27701; Cancer Programs, American College of Surgeons, Chicago, Ill (A.M.,
A.B.F.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston,
Mass (E.S.F., A.H.P.); and Department of Surgery, Baylor College of Medicine,
Houston, Tex (A.M.T.)
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31
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Clauser P. Clinical value of contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: a population-based cohort study-commentary. Eur Radiol 2023; 33:2207-2208. [PMID: 36692600 DOI: 10.1007/s00330-023-09396-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 10/30/2022] [Accepted: 11/22/2022] [Indexed: 01/25/2023]
Affiliation(s)
- Paola Clauser
- Deparment of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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32
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Sprague BL, Chen S, Miglioretti DL, Gard CC, Tice JA, Hubbard RA, Aiello Bowles EJ, Kaufman PA, Kerlikowske K. Cumulative 6-Year Risk of Screen-Detected Ductal Carcinoma In Situ by Screening Frequency. JAMA Netw Open 2023; 6:e230166. [PMID: 36808238 PMCID: PMC9941892 DOI: 10.1001/jamanetworkopen.2023.0166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/15/2022] [Indexed: 02/22/2023] Open
Abstract
Importance 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. Objective To develop a 6-year risk prediction model for screen-detected DCIS according to mammography screening interval and women's risk factors. Design, Setting, and Participants 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. Exposures 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. Main Outcomes and Measures Screen-detected DCIS defined as a DCIS diagnosis within 12 months after a positive screening mammography result, with no concurrent invasive disease. Results 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. Conclusions and Relevance 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.
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Affiliation(s)
- Brian L. Sprague
- Office of Health Promotion Research, University of Vermont, Burlington
- Department of Surgery, University of Vermont, Burlington
- University of Vermont Cancer Center, Burlington
| | - Shuai Chen
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis
| | - Diana L. Miglioretti
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle
| | - Charlotte C. Gard
- Department of Economics, Applied Statistics, and International Business, New Mexico State University, Las Cruces
| | - Jeffrey A. Tice
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco
| | - Rebecca A. Hubbard
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Erin J. Aiello Bowles
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle
| | - Peter A. Kaufman
- Division of Hematology/Oncology, University of Vermont Cancer Center, Burlington
| | - Karla Kerlikowske
- Department of Medicine, University of California, San Francisco
- Department of Epidemiology and Biostatistics, University of California, San Francisco
- General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco
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Yan Z, Ngeow J, Allen J, Lim GH. Clinical presentations and outcomes of young women aged <40 yrs with Ductal carcinoma in situ. Breast Dis 2023; 42:299-303. [PMID: 37807772 DOI: 10.3233/bd-230018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
INTRODUCTION Ductal carcinoma in situ (DCIS) in young women is rare and not well studied. Since they do not qualify for mammographic screening, they are more likely to present with symptoms. Young women have also been associated with poorer outcomes, but it is unknown whether presentation mode affects outcome. We aimed to compare characteristics of DCIS patients <40 years of age presenting with symptoms versus those without, and determine whether presentation mode affects recurrence. METHODS Pure DCIS patients aged <40 years were retrospectively analyzed. Clinical presentation, pathology and recurrence data were collected. Statistical analysis was performed to investigate the correlation of presentation mode with outcomes. RESULTS 40 patients with 41 cases were included. The mean age at diagnosis was 32.3 years (range 17-39). 73.2% and 26.8% presented with symptoms or abnormal imaging respectively. Of the cases who presented with symptoms, 86.7%, 10.0% and 3.3% had palpable lump, nipple discharge or breast pain, respectively. The average tumor size was 22.0 mm (range 2.0-86.9) and 12.2 mm (range 3-25) for patients who presented with symptoms and non-symptomatic group, respectively. Cases presenting with symptoms were statistically associated with higher grade (p = 0.0090). On median follow-up of 85 months, there were 3 (7.3%) recurrences, which were not statistically associated with presentation mode. CONCLUSION Young women with DCIS tend to present with symptoms, with breast lump as the commonest symptom. Symptomatic patients tend to be associated with grade III tumours, compared to non-symptomatic patients. On long-term follow-up, mode of presentation was not statistically associated with recurrence.
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Affiliation(s)
- Zhiyan Yan
- Breast Department, KK Women's and Children's Hospital, Singapore
| | - Joanne Ngeow
- National Cancer Centre, Singapore
- Lee Kong Chian School of Medicine, NTU Singapore
| | | | - Geok Hoon Lim
- Breast Department, KK Women's and Children's Hospital, Singapore
- Duke-NUS Medical School, Singapore
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Niu N, Zhang Y, Bai Y, Wang X, Yan S, Song D, Xu H, Liu T, Hua B, Zhang Y, Liu J, Qiao X, Liu J, Zheng X, Cao H, Liu C. Efficacy and safety of endocrine therapy after mastectomy in patients with hormone receptor positive breast ductal carcinoma in situ: Retrospective cohort study. eLife 2023; 12:83045. [PMID: 36745010 PMCID: PMC9901931 DOI: 10.7554/elife.83045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 01/15/2023] [Indexed: 02/07/2023] Open
Abstract
Background More than half of Chinese patients with hormone receptor positive (HR+) ductal carcinoma in situ (DCIS) are treated with mastectomy, and usually subjected to postoperative endocrine therapy (ET). Given that long-term ET can cause severe adverse effects it is important to determine the beneficial effect and safety of post-mastectomy ET on the disease-free survival (DFS) and adverse events in patients with HR+ DCIS. Methods To explore beneficial effect and safety of post-mastectomy ET in patients with HR+ DCIS, we performed a multicenter, population-based study. This retrospective study analyzed the DFS and adverse events in 1037 HR+ DCIS Chinese patients with or without post-mastectomy ET from eight breast centers between 2006 and 2016. The median follow-up time period was 86 months. Results There were 791 DCIS patients receiving ET (ET group). Those patients were followed up for a median of 86 months (range, 60-177 months). There were 23 cases with tumor recurrence or distant metastasis. There were similar 5-year DFS rates and DFS between the ET and non-ET groups, even for those with high-risk factors. Conversely, 37.04% of patients suffered from adverse events after ET, which were significantly higher than those in the non-ET group. Conclusions ET after mastectomy did not benefit patients with HR+ DCIS for their DFS, rather increased adverse events in those patients. Therefore, ET after mastectomy may not be recommended for patients with HR+ DCIS, even for those with high-risk factors, such as multifocal, microinvasive, and higher T stage. Funding This study was supported by grants from Outstanding Scientific Fund of Shengjing Hospital (201803) and Outstanding Young Scholars of Liaoning Province (2019-YQ-10).
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Affiliation(s)
- Nan Niu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Yinan Zhang
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Yang Bai
- Department of Nursing, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Xin Wang
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalBeijingChina
| | - Shunchao Yan
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Dong Song
- Department of Breast Surgery, the First Hospital of Jilin UniversityChangchunChina
| | - Hong Xu
- Department of Breast Surgery, Liaoning Cancer Hospital and InstituteShenyangChina
| | - Tong Liu
- Department of Breast Surgery, Cancer Hospital of Harbin Medical UniversityHarbinChina
| | - Bin Hua
- Department of General Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric MedicineBeijingChina
| | - Yingchao Zhang
- Department of Breast Surgery, the Second Hospital of Jilin UniversityChangchunChina
| | - Jinchi Liu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Xinbo Qiao
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Jiaxiang Liu
- Department of Breast Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalBeijingChina
| | - Xinyu Zheng
- Department of Breast Surgery, the First Affiliated Hospital of China Medical UniversityShenyangChina
| | - Hongyi Cao
- Department of Pathology, the First Affiliated Hospital of China Medical University and College of Basic Medical SciencesShenyangChina
| | - Caigang Liu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
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Clements K, Dodwell D, Hilton B, Stevens-Harris I, Pinder S, Wallis MG, Maxwell AJ, Kearins O, Sibbering M, Shaaban AM, Kirwan C, Sharma N, Stobart H, Dulson-Cox J, Litherland J, Mylvaganam S, Provenzano E, Sawyer E, Thompson AM. Cohort profile of the Sloane Project: methodology for a prospective UK cohort study of >15 000 women with screen-detected non-invasive breast neoplasia. BMJ Open 2022; 12:e061585. [PMID: 36535720 PMCID: PMC9764674 DOI: 10.1136/bmjopen-2022-061585] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 11/02/2022] [Indexed: 12/23/2022] Open
Abstract
PURPOSE The introduction of breast screening in the UK led to an increase in the detection of non-invasive breast neoplasia, predominantly ductal carcinoma in situ (DCIS), a non-obligatory precursor of invasive breast cancer. The Sloane Project, a UK prospective cohort study of screen-detected non-invasive breast neoplasia, commenced in 2003 to evaluate the radiological assessment, surgical management, pathology, adjuvant therapy and outcomes for non-invasive breast neoplasia. Long-term follow-up and accurate data collection are essential to examine the clinical impact. Here, we describe the establishment, development and analytical processes for this large UK cohort study. PARTICIPANTS Women diagnosed with non-invasive breast neoplasia via the UK National Health Service Breast Screening Programme (NHSBSP) from 01 April 2003 are eligible, with a minimum age of 46 years. Diagnostic, therapeutic and follow-up data collected via proformas, complement date and cause of death from national data sources. Accrual for patients with DCIS ceased in 2012 but is ongoing for patients with epithelial atypia/in situ neoplasia, while follow-up for all continues long term. FINDINGS TO DATE To date, patients within the Sloane cohort comprise one-third of those diagnosed with DCIS within the NHSBSP and are representative of UK practice. DCIS has a variable outcome and confirms the need for longer-term follow-up for screen-detected DCIS. However, the radiology and pathology features of DCIS can be used to inform patient management. We demonstrate validation of follow-up information collected from national datasets against traditional, manual methods. FUTURE PLANS Conclusions derived from the Sloane Project are generalisable to women in the UK with screen-detected DCIS. The follow-up methodology may be extended to other UK cohort studies and routine clinical follow-up. Data from English patients entered into the Sloane Project are available on request to researchers under data sharing agreement. Annual follow-up data collection will continue for a minimum of 20 years.
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Affiliation(s)
- Karen Clements
- Screening Quality Assurance Service, NHS England, Birmingham, UK
| | - David Dodwell
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Bridget Hilton
- Screening Quality Assurance Service, NHS England, Birmingham, UK
| | - Isabella Stevens-Harris
- Royal Derby Hospital, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Sarah Pinder
- Guy's Comprehensive Cancer Centre, Guy's & St Thomas' Hospitals NHS Foundation Trust, London, UK
- School of Cancer and Pharmaceutical Sciences, King's College London Faculty of Life Sciences and Medicine, London, UK
| | - Matthew G Wallis
- Cambridge Breast Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Anthony J Maxwell
- Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester, UK
| | - Olive Kearins
- Screening Quality Assurance Service, NHS England, Birmingham, UK
| | - Mark Sibbering
- Royal Derby Hospital, University Hospitals of Derby and Burton NHS Foundation Trust, Derby, UK
| | - Abeer M Shaaban
- Department of Histopathology, Queen Elizabeth Hospital Birmingham and University of Birmingham, Birmingham, UK
| | - Cliona Kirwan
- NIHR Manchester Biomedical Research Centre, Manchester, UK
- Division of Cancer Sciences, The University of Manchester Faculty of Biology, Medicine and Health, Manchester, UK
| | - Nisha Sharma
- Breast Unit, St James's Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | | | | | | | - Elena Provenzano
- NIHR Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Elinor Sawyer
- School of Cancer and Pharmaceutical Sciences, King's College London Faculty of Life Sciences and Medicine, London, UK
| | - Alastair M Thompson
- Department of Surgical Oncology, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
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Zhang J, Lin H, Hou L, Xiao H, Gong X, Guo X, Cao X, Liu Z. Exploration of the breast ductal carcinoma in situ signature and its prognostic implications. Cancer Med 2022; 12:3758-3772. [PMID: 35880695 PMCID: PMC9939111 DOI: 10.1002/cam4.5071] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/06/2022] [Accepted: 07/03/2022] [Indexed: 11/06/2022] Open
Abstract
Following the implementation of breast screening programs, the occurrence of ductal carcinoma in situ (DCIS) as an early type of neoplasia has increased. Although the prognosis is promising, 20%-50% of DCIS patients will progress to invasive ductal carcinoma (IDC) if not treated. It is essential to look for promising biomarkers for predicting DCIS prognosis. The Gene Expression Omnibus (GEO) database was used to explore the expression of genes that differed between DCIS and normal tissue in this investigation. Enrichment analysis was performed to characterize the biological role and intrinsic process pathway. The Cancer Genome Atlas Breast Cancer Dataset was used to categorize the hub genes, and the results were confirmed using the Cytoscape plugin CytoHubba and MCODE. The prognostic ability of the core gene signature was determined through time-dependent receiver operating characteristic (ROC), Kaplan-Meier survival curve, Oncomine databases, and UALCAN databases. In addition, the prognostic value of core genes was verified in proliferation assays. We identified 217 common differentially expressed genes (DEGs) in the present study, with 101 upregulated and 138 downregulated genes. The top genes were obtained from the PPI network (protein-protein interaction). A unique six-gene signature (containing GAPDH, CDH2, BIRC5, NEK2, IDH2, and MELK) was developed for DCIS prognostic prediction. Centered on the Cancer Genome Atlas (TCGA) cohort, the ROC curve showed strong results in prognosis prediction. The six core gene signatures is often overexpressed in DCIS, with a weak prognosis. Furthermore, when breast cancer cells are transfected with small interfering RNAs, downregulation of core gene expression substantially inhibits cell proliferation, revealing a high potential for employing core genes in DCIS prognosis. In conclusion, the current investigation verified the six core genes signatures for prospective DCIS biomarkers, which may aid clinical decision-making for individual care.
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Affiliation(s)
- Jiao Zhang
- Department of Breast Disease, Henan Breast Cancer CenterAffiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
| | - Hui Lin
- The First Department of Breast CancerTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of EducationTianjinChina,Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical UniversityTaizhouChina
| | - Lei Hou
- Department of Breast Disease, Henan Breast Cancer CenterAffiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
| | - Hui Xiao
- Department of Breast Disease, Henan Breast Cancer CenterAffiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
| | - Xilong Gong
- Department of Breast Disease, Henan Breast Cancer CenterAffiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
| | - Xuhui Guo
- Department of Breast Disease, Henan Breast Cancer CenterAffiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
| | - Xuchen Cao
- The First Department of Breast CancerTianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of EducationTianjinChina
| | - Zhenzhen Liu
- Department of Breast Disease, Henan Breast Cancer CenterAffiliated Cancer Hospital of Zhengzhou University & Henan Cancer HospitalZhengzhouChina
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De la Cruz Ku G, Karamchandani M, Chambergo-Michilot D, Narvaez-Rojas AR, Jonczyk M, Príncipe-Meneses FS, Posawatz D, Nardello S, Chatterjee A. Does Breast-Conserving Surgery with Radiotherapy have a Better Survival than Mastectomy? A Meta-Analysis of More than 1,500,000 Patients. Ann Surg Oncol 2022; 29:6163-6188. [PMID: 35876923 DOI: 10.1245/s10434-022-12133-8] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 05/25/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND There have been conflicting studies reporting on survival advantages between breast-conserving surgery with radiotherapy (BCS) in comparison with mastectomy. Our aim was to compare the efficacy of BCS and mastectomy in terms of overall survival (OS) comparing all past published studies. METHODS We performed a comprehensive review of literature through October 2021 in PubMed, Scopus, and EMBASE. The studies included were randomized controlled trials (RCTs) and cohorts that compare BCS versus mastectomy. We excluded studies that included male sex, stage 0, distant metastasis at diagnosis, bilateral synchronous cancer, neoadjuvant radiation/chemotherapy, and articles with incomplete data. We performed a meta-analysis following the random-effect model with the inverse variance method. RESULTS From 18,997 publications, a total of 30 studies were included in the final analysis: 6 studies were randomized trials, and 24 were retrospective cohorts. A total of 1,802,128 patients with a follow-up ranging from 4 to 20 years were included, and 1,075,563 and 744,565 underwent BCS and mastectomy, respectively. Among the population, BCS is associated with improved OS compared with mastectomy [relative risk (RR) 0.64, 95% confidence interval (CI) 0.55-0.74]. This effect was similar when analysis was performed in cohorts and multi-institutional databases (RR 0.57, 95% CI 0.49-0.67). Furthermore, the benefit of BCS was stronger in patients who had less than 10 years of follow-up (RR 0.54, 95% CI 0.46-0.64). CONCLUSIONS Patients who underwent BCS had better OS compared with mastectomy. Such results depicting survival advantage, especially using such a large sample of patients, may need to be included in the shared surgical decision making when discussing breast cancer treatment with patients.
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Affiliation(s)
- Gabriel De la Cruz Ku
- Department of General Surgery, University of Massachusetts, Worcester, MA, USA.,Universidad Científica del Sur, Lima, Peru
| | | | | | | | | | | | - David Posawatz
- Department of General Surgery, Tufts Medical Center, Boston, MA, USA
| | | | - Abhishek Chatterjee
- Division of Surgical Oncology, Tufts Medical Center, Boston, MA, USA. .,Division of Plastic and Reconstructive Surgery, Division of Surgical Oncology, Tufts Medical Center, Boston, MA, USA.
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Narod SA, Sopik V. Countercurrents: DCIS or Cancer? Why All the Confusion? Curr Oncol 2022; 29:4936-4940. [PMID: 35877252 PMCID: PMC9316925 DOI: 10.3390/curroncol29070392] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 07/11/2022] [Indexed: 11/17/2022] Open
Abstract
At present, women with ductal carcinoma in situ are counseled that they have a pre-malignant condition which carries the possibility of progression to a fully malignant breast cancer. However, in most cases, the treatment of DCIS resembles that of a small invasive breast cancer and this is a source of confusion to many. In order to properly evaluate the benefit of radiotherapy, mastectomy and contralateral mastectomy, it is necessary to consider the risks of ipsilateral invasive cancer and of contralateral breast cancer in women with DCIS and with small invasive breast cancer. Several registry-based studies indicate that the risks of ipsilateral and contralateral cancer are similar in the two conditions and therefore a similar approach to treatment is rational.
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Affiliation(s)
- Steven A. Narod
- Women’s College Research Institute, Women’s College Hospital, Toronto, ON M5S 1B2, Canada;
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
- Correspondence:
| | - Victoria Sopik
- Women’s College Research Institute, Women’s College Hospital, Toronto, ON M5S 1B2, Canada;
- Institute of Medical Science, University of Toronto, Toronto, ON M5S 1A8, Canada
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Rebbeck CA, Xian J, Bornelöv S, Geradts J, Hobeika A, Geiger H, Alvarez JF, Rozhkova E, Nicholls A, Robine N, Lyerly HK, Hannon GJ. Gene expression signatures of individual ductal carcinoma in situ lesions identify processes and biomarkers associated with progression towards invasive ductal carcinoma. Nat Commun 2022; 13:3399. [PMID: 35697697 PMCID: PMC9192778 DOI: 10.1038/s41467-022-30573-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 05/06/2022] [Indexed: 12/27/2022] Open
Abstract
Ductal carcinoma in situ (DCIS) is considered a non-invasive precursor to breast cancer, and although associated with an increased risk of developing invasive disease, many women with DCIS will never progress beyond their in situ diagnosis. The path from normal duct to invasive ductal carcinoma (IDC) is not well understood, and efforts to do so are hampered by the substantial heterogeneity that exists between patients, and even within patients. Here we show gene expression analysis from > 2,000 individually micro-dissected ductal lesions representing 145 patients. Combining all samples into one continuous trajectory we show there is a progressive loss in basal layer integrity heading towards IDC, coupled with two epithelial to mesenchymal transitions, one early and a second coinciding with the convergence of DCIS and IDC expression profiles. We identify early processes and potential biomarkers, including CAMK2N1, MNX1, ADCY5, HOXC11 and ANKRD22, whose reduced expression is associated with the progression of DCIS to invasive breast cancer.
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Affiliation(s)
- Clare A Rebbeck
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
| | - Jian Xian
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Susanne Bornelöv
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Joseph Geradts
- Department of Pathology & Laboratory Medicine, East Carolina University Brody School of Medicine, Greenville, NC, USA
| | - Amy Hobeika
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | | | - Jose Franco Alvarez
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Elena Rozhkova
- Department of Dermatology, Boston University School of Medicine, Boston, MA, USA
| | - Ashley Nicholls
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | - Herbert K Lyerly
- Department of Surgery, Duke University Medical Center, Durham, NC, USA.
| | - Gregory J Hannon
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
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Hassanien MA, Singh VK, Puig D, Abdel-Nasser M. Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences. Diagnostics (Basel) 2022; 12:1053. [PMID: 35626208 PMCID: PMC9139635 DOI: 10.3390/diagnostics12051053] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 04/20/2022] [Accepted: 04/21/2022] [Indexed: 02/04/2023] Open
Abstract
Breast cancer needs to be detected early to reduce mortality rate. Ultrasound imaging (US) could significantly enhance diagnosing cases with dense breasts. Most of the existing computer-aided diagnosis (CAD) systems employ a single ultrasound image for the breast tumor to extract features to classify it as benign or malignant. However, the accuracy of such CAD system is limited due to the large tumor size and shape variation, irregular and ambiguous tumor boundaries, and low signal-to-noise ratio in ultrasound images due to their noisy nature and the significant similarity between normal and abnormal tissues. To handle these issues, we propose a deep-learning-based radiomics method based on breast US sequences in this paper. The proposed approach involves three main components: radiomic features extraction based on a deep learning network, so-called ConvNeXt, a malignancy score pooling mechanism, and visual interpretations. Specifically, we employ the ConvNeXt network, a deep convolutional neural network (CNN) trained using the vision transformer style. We also propose an efficient pooling mechanism to fuse the malignancy scores of each breast US sequence frame based on image-quality statistics. The ablation study and experimental results demonstrate that our method achieves competitive results compared to other CNN-based methods.
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Affiliation(s)
- Mohamed A. Hassanien
- Department of Computer Engineering and Mathematics, Univerity Rovira i Virgili, 43007 Tarragona, Spain; (M.A.H.); (D.P.); (M.A.-N.)
| | - Vivek Kumar Singh
- Precision Medicine Centre of Excellence, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast BT7 1NN, UK
| | - Domenec Puig
- Department of Computer Engineering and Mathematics, Univerity Rovira i Virgili, 43007 Tarragona, Spain; (M.A.H.); (D.P.); (M.A.-N.)
| | - Mohamed Abdel-Nasser
- Department of Computer Engineering and Mathematics, Univerity Rovira i Virgili, 43007 Tarragona, Spain; (M.A.H.); (D.P.); (M.A.-N.)
- Electrical Engineering Department, Aswan University, Aswan 81528, Egypt
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Maxwell AJ, Hilton B, Clements K, Dodwell D, Dulson-Cox J, Kearins O, Kirwan C, Litherland J, Mylvaganam S, Provenzano E, Pinder SE, Sawyer E, Shaaban AM, Sharma N, Stobart H, Wallis MG, Thompson AM. Unresected screen-detected ductal carcinoma in situ: Outcomes of 311 women in the Forget-Me-Not 2 study. Breast 2022; 61:145-155. [PMID: 34999428 PMCID: PMC8753270 DOI: 10.1016/j.breast.2022.01.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 12/29/2021] [Accepted: 01/02/2022] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND AND AIM The natural history of ductal carcinoma in situ (DCIS) is poorly understood. The aim of this cohort study was to determine the outcomes of women who had no surgery for screen-detected DCIS in the 6 months following diagnosis. METHODS English breast screening databases were retrospectively searched for women diagnosed with DCIS without invasive cancer at screening and who had no record of surgery within 6 months of diagnosis. These were cross-referenced with cancer registry data. Details of the potentially eligible women were sent to the relevant breast screening units for verification and for completion of data forms detailing clinical, radiological and pathological findings, non-surgical treatment and subsequent clinical course. RESULTS Data for 311 eligible women (median age 62 years) were available. 60 women developed invasive cancer, 56 ipsilateral and 4 contralateral. Ipsilateral invasion risk increased approximately linearly with time for at least 10 years. The 10-year cumulative risk of ipsilateral invasion was 9% (95% CI 4-21%), 39% (24-58%) and 36% (24-50%) for low, intermediate and high grade DCIS respectively and was higher in younger women, in those with larger DCIS lesions and in those with microinvasion. Most invasive cancers that developed were grade 2 or 3. CONCLUSION The findings suggest that active surveillance may be a reasonable alternative to surgery in patients with low grade DCIS but that women with intermediate or high grade disease should continue to be offered surgery. This highlights the importance of reproducible grading of DCIS to ensure patients receive appropriate treatment.
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Affiliation(s)
- Anthony J Maxwell
- Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT, UK; Division of Informatics, Imaging & Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK.
| | - Bridget Hilton
- Public Health England, 5 St Philip's Place, Birmingham, B3 2PW, UK.
| | - Karen Clements
- Public Health England, 5 St Philip's Place, Birmingham, B3 2PW, UK.
| | - David Dodwell
- Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford, OX3 7LF, UK.
| | | | - Olive Kearins
- Public Health England, 5 St Philip's Place, Birmingham, B3 2PW, UK.
| | - Cliona Kirwan
- Nightingale Centre, Wythenshawe Hospital, Manchester University NHS Foundation Trust, Southmoor Road, Manchester, M23 9LT, UK; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, UK.
| | - Janet Litherland
- West of Scotland Breast Screening Centre, Nelson Mandela Place, Glasgow, G2 1QY, UK.
| | - Senthurun Mylvaganam
- New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton Road, Wolverhampton, WV10 0QP, UK.
| | - Elena Provenzano
- Department of Histopathology (Box 235), Addenbrookes Hospital, Hills Road, Cambridge, CB2 0QQ, UK.
| | - Sarah E Pinder
- Division of Cancer Studies, King's College London, Guy's Hospital, St Thomas Street, London, SE1 9RT, UK.
| | - Elinor Sawyer
- School of Cancer & Pharmaceutical Sciences, Kings College London, Guy's Cancer Centre, Great Maze Pond, London, SE1 9RT, UK.
| | - Abeer M Shaaban
- Queen Elizabeth Hospital Birmingham and University of Birmingham, Birmingham, B15 2GW, UK.
| | - Nisha Sharma
- Leeds Wakefield Breast Screening Service, Seacroft Hospital, York Road, Leeds, LS14 6UH, UK.
| | - Hilary Stobart
- Independent Cancer Patients' Voice, 17 Woodbridge Street, London, EC1R 0LL, UK.
| | - Matthew G Wallis
- Cambridge Breast Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge & NIHR Cambridge Biomedical Research Centre, Cambridge, CB2 0QQ, UK.
| | - Alastair M Thompson
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.
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Nachmanson D, Officer A, Mori H, Gordon J, Evans MF, Steward J, Yao H, O'Keefe T, Hasteh F, Stein GS, Jepsen K, Weaver DL, Hirst GL, Sprague BL, Esserman LJ, Borowsky AD, Stein JL, Harismendy O. The breast pre-cancer atlas illustrates the molecular and micro-environmental diversity of ductal carcinoma in situ. NPJ Breast Cancer 2022; 8:6. [PMID: 35027560 PMCID: PMC8758681 DOI: 10.1038/s41523-021-00365-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 12/06/2021] [Indexed: 12/15/2022] Open
Abstract
Microenvironmental and molecular factors mediating the progression of Breast Ductal Carcinoma In Situ (DCIS) are not well understood, impeding the development of prevention strategies and the safe testing of treatment de-escalation. We addressed methodological barriers and characterized the mutational, transcriptional, histological, and microenvironmental landscape across 85 multiple microdissected regions from 39 cases. Most somatic alterations, including whole-genome duplications, were clonal, but genetic divergence increased with physical distance. Phenotypic and subtype heterogeneity was frequently associated with underlying genetic heterogeneity and regions with low-risk features preceded those with high-risk features according to the inferred phylogeny. B- and T-lymphocytes spatial analysis identified three immune states, including an epithelial excluded state located preferentially at DCIS regions, and characterized by histological and molecular features of immune escape, independently from molecular subtypes. Such breast pre-cancer atlas with uniquely integrated observations will help scope future expansion studies and build finer models of outcomes and progression risk.
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Affiliation(s)
- Daniela Nachmanson
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Adam Officer
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Hidetoshi Mori
- Department of Pathology and Laboratory Medicine, Center for Immunology and Infectious Diseases, School of Medicine, University of California Davis, 2315 Stockton Blvd, Sacramento, CA, 95817, USA
| | - Jonathan Gordon
- University of Vermont Cancer Center, 111 Colchester Avenue Main Campus, Main Pavillion, Level, 2, Burlington, VT, 05401, USA
- Department of Biochemistry, University of Vermont, Burlington, VT, 05405, USA
| | - Mark F Evans
- University of Vermont Cancer Center, 111 Colchester Avenue Main Campus, Main Pavillion, Level, 2, Burlington, VT, 05401, USA
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Joseph Steward
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA
| | - Huazhen Yao
- Institute for Genomic Medicine, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Thomas O'Keefe
- Department of Surgery, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Farnaz Hasteh
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA
- Department of Pathology, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Gary S Stein
- University of Vermont Cancer Center, 111 Colchester Avenue Main Campus, Main Pavillion, Level, 2, Burlington, VT, 05401, USA
- Department of Biochemistry, University of Vermont, Burlington, VT, 05405, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA
| | - Donald L Weaver
- University of Vermont Cancer Center, 111 Colchester Avenue Main Campus, Main Pavillion, Level, 2, Burlington, VT, 05401, USA
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA
| | - Gillian L Hirst
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd St, San Francisco, CA, 94158, USA
| | - Brian L Sprague
- University of Vermont Cancer Center, 111 Colchester Avenue Main Campus, Main Pavillion, Level, 2, Burlington, VT, 05401, USA
- Department of Surgery, University of Vermont, Burlington, VT, 05405, USA
| | - Laura J Esserman
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, 1450 3rd St, San Francisco, CA, 94158, USA
| | - Alexander D Borowsky
- Department of Pathology and Laboratory Medicine, Center for Immunology and Infectious Diseases, School of Medicine, University of California Davis, 2315 Stockton Blvd, Sacramento, CA, 95817, USA
| | - Janet L Stein
- University of Vermont Cancer Center, 111 Colchester Avenue Main Campus, Main Pavillion, Level, 2, Burlington, VT, 05401, USA
- Department of Biochemistry, University of Vermont, Burlington, VT, 05405, USA
| | - Olivier Harismendy
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego, 9500 Gilman Drive, San Diego, CA, 92093, USA.
- Moores Cancer Center, University of California San Diego, 3855 Health Science Drive, San Diego, CA, 92093, USA.
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Hou R, Grimm LJ, Mazurowski MA, Marks JR, King LM, Maley CC, Lynch T, van Oirsouw M, Rogers K, Stone N, Wallis M, Teuwen J, Wesseling J, Hwang ES, Lo JY. Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features. Radiology 2022; 303:54-62. [PMID: 34981975 DOI: 10.1148/radiol.210407] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background Improving diagnosis of ductal carcinoma in situ (DCIS) before surgery is important in choosing optimal patient management strategies. However, patients may harbor occult invasive disease not detected until definitive surgery. Purpose To assess the performance and clinical utility of mammographic radiomic features in the prediction of occult invasive cancer among women diagnosed with DCIS on the basis of core biopsy findings. Materials and Methods In this Health Insurance Portability and Accountability Act-compliant retrospective study, digital magnification mammographic images were collected from women who underwent breast core-needle biopsy for calcifications that was performed at a single institution between September 2008 and April 2017 and yielded a diagnosis of DCIS. The database query was directed at asymptomatic women with calcifications without a mass, architectural distortion, asymmetric density, or palpable disease. Logistic regression with regularization was used. Differences across training and internal test set by upstaging rate, age, lesion size, and estrogen and progesterone receptor status were assessed by using the Kruskal-Wallis or χ2 test. Results The study consisted of 700 women with DCIS (age range, 40-89 years; mean age, 59 years ± 10 [standard deviation]), including 114 with lesions (16.3%) upstaged to invasive cancer at subsequent surgery. The sample was split randomly into 400 women for the training set and 300 for the testing set (mean ages: training set, 59 years ± 10; test set, 59 years ± 10; P = .85). A total of 109 radiomic and four clinical features were extracted. The best model on the test set by using all radiomic and clinical features helped predict upstaging with an area under the receiver operating characteristic curve of 0.71 (95% CI: 0.62, 0.79). For a fixed high sensitivity (90%), the model yielded a specificity of 22%, a negative predictive value of 92%, and an odds ratio of 2.4 (95% CI: 1.8, 3.2). High specificity (90%) corresponded to a sensitivity of 37%, positive predictive value of 41%, and odds ratio of 5.0 (95% CI: 2.8, 9.0). Conclusion Machine learning models that use radiomic features applied to mammographic calcifications may help predict upstaging of ductal carcinoma in situ, which can refine clinical decision making and treatment planning. © RSNA, 2022.
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Affiliation(s)
- Rui Hou
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Lars J Grimm
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Maciej A Mazurowski
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Jeffrey R Marks
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Lorraine M King
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Carlo C Maley
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Thomas Lynch
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Marja van Oirsouw
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Keith Rogers
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Nicholas Stone
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Matthew Wallis
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Jonas Teuwen
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Jelle Wesseling
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - E Shelley Hwang
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
| | - Joseph Y Lo
- From the Departments of Radiology (R.H., L.J.G., J.Y.L.) and Surgery (J.R.M., L.M.K., T.L., E.S.H.), Duke University Medical Center, Box 3513, Durham, NC 27710; Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University, Durham, NC (R.H.); School of Life Sciences, Arizona State University, Tempe, Ariz (C.C.M.); Cranfield Forensic Institute, Cranfield University, Cranfield, UK (K.R.); School of Physics and Astronomy, College of Engineering, Mathematics and Physical Sciences, Physics Building, Streatham Campus, University of Exeter, Exeter, UK (N.S.); Cambridge Breast Unit and NIHR Cambridge Biomedical Research Center, Cambridge University Hospitals NHS Trust, Cambridge Biomedical Campus, Cambridge, UK (M.W.); and Netherlands Cancer Institute, Amsterdam, the Netherlands (M.v.O., J.T., J.W.)
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van Seijen M, Lips EH, Fu L, Giardiello D, van Duijnhoven F, de Munck L, Elshof LE, Thompson A, Sawyer E, Ryser MD, Hwang ES, Schmidt MK, Elkhuizen PHM, Grand Challenge PRECISION Consortium, Wesseling J, Schaapveld M. Long-term risk of subsequent ipsilateral lesions after surgery with or without radiotherapy for ductal carcinoma in situ of the breast. Br J Cancer 2021; 125:1443-1449. [PMID: 34408284 PMCID: PMC8575990 DOI: 10.1038/s41416-021-01496-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 05/20/2021] [Accepted: 07/09/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Radiotherapy (RT) following breast-conserving surgery (BCS) for ductal carcinoma in situ (DCIS) reduces ipsilateral breast event rates in clinical trials. This study assessed the impact of DCIS treatment on a 20-year risk of ipsilateral DCIS (iDCIS) and ipsilateral invasive breast cancer (iIBC) in a population-based cohort. METHODS The cohort comprised all women diagnosed with DCIS in the Netherlands during 1989-2004 with follow-up until 2017. Cumulative incidence of iDCIS and iIBC following BCS and BCS + RT were assessed. Associations of DCIS treatment with iDCIS and iIBC risk were estimated in multivariable Cox models. RESULTS The 20-year cumulative incidence of any ipsilateral breast event was 30.6% (95% confidence interval (CI): 28.9-32.6) after BCS compared to 18.2% (95% CI 16.3-20.3) following BCS + RT. Women treated with BCS compared to BCS + RT had higher risk of developing iDCIS and iIBC within 5 years after DCIS diagnosis (for iDCIS: hazard ratio (HR)age < 50 3.2 (95% CI 1.6-6.6); HRage ≥ 50 3.6 (95% CI 2.6-4.8) and for iIBC: HRage<50 2.1 (95% CI 1.4-3.2); HRage ≥ 50 4.3 (95% CI 3.0-6.0)). After 10 years, the risk of iDCIS and iIBC no longer differed for BCS versus BCS + RT (for iDCIS: HRage < 50 0.7 (95% CI 0.3-1.5); HRage ≥ 50 0.7 (95% CI 0.4-1.3) and for iIBC: HRage < 50 0.6 (95% CI 0.4-0.9); HRage ≥ 50 1.2 (95% CI 0.9-1.6)). CONCLUSION RT is associated with lower iDCIS and iIBC risk up to 10 years after BCS, but this effect wanes thereafter.
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Affiliation(s)
- Maartje van Seijen
- grid.430814.a0000 0001 0674 1393Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Esther H. Lips
- grid.430814.a0000 0001 0674 1393Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Liping Fu
- grid.430814.a0000 0001 0674 1393Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Daniele Giardiello
- grid.430814.a0000 0001 0674 1393Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Frederieke van Duijnhoven
- grid.430814.a0000 0001 0674 1393Department of Surgery, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Linda de Munck
- grid.470266.10000 0004 0501 9982Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, The Netherlands
| | - Lotte E. Elshof
- grid.414725.10000 0004 0368 8146Department of radiology, Meander Medical Centre, Amersfoort, The Netherlands
| | - Alastair Thompson
- grid.39382.330000 0001 2160 926XDan L Duncan Comprehensive Cancer Centre, Baylor College of Medicine, Houston, TX USA
| | - Elinor Sawyer
- grid.239826.40000 0004 0391 895XDivision of Cancer Studies, King’s College London, Comprehensive Cancer Centre, Guy’s Hospital, London, UK
| | - Marc D. Ryser
- grid.26009.3d0000 0004 1936 7961Department of Population Health Sciences, Duke University, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Department of Mathematics, Duke University, Durham, NC USA
| | - E. Shelley Hwang
- grid.26009.3d0000 0004 1936 7961Department of Surgery, Duke University, Durham, NC USA
| | - Marjanka K. Schmidt
- grid.430814.a0000 0001 0674 1393Division of Molecular Pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands ,grid.10419.3d0000000089452978Department of clinical genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Paula H. M. Elkhuizen
- grid.430814.a0000 0001 0674 1393Department of radiotherapy, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | | | - Jelle Wesseling
- grid.430814.a0000 0001 0674 1393Department of pathology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands ,grid.10419.3d0000000089452978Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michael Schaapveld
- grid.430814.a0000 0001 0674 1393Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
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Hatton A, Heriot N, Zalcberg J, Ayton D, Evans J, Roder D, Chua BH, Hersch J, Lippey J, Fox J, Saunders C, Mann GB, Synnot J, Bell RJ. Factors involved in treatment decision making for women diagnosed with ductal carcinoma in situ: A qualitative study. Breast 2021; 60:123-130. [PMID: 34624754 PMCID: PMC8503564 DOI: 10.1016/j.breast.2021.09.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 09/15/2021] [Accepted: 09/22/2021] [Indexed: 11/26/2022] Open
Abstract
Whilst some of the diversity in management of women with ductal carcinoma in situ (DCIS) may be explained by tumour characteristics, the role of patient preference and the factors underlying those preferences have been less frequently examined. We have used a descriptive qualitative study to explore treatment decisions for a group of Australian women diagnosed with DCIS through mammographic screening. Semi-structured telephone interviews were performed with 16 women diagnosed with DCIS between January 2012 and December 2018, recruited through the LifePool dataset (a subset of BreastScreen participants who have agreed to participate in research). Content analysis using deductive coding identified three themes: participants did not have a clear understanding of their diagnosis or prognosis; reported involvement in decision making about management varied; specific factors including the psychosexual impact of mastectomy and perceptions of radiotherapy, could act as barriers or facilitators to specific decisions about treatment. The treatment the women received was not simply determined by the characteristics of their disease. Interaction with the managing clinician was pivotal, however many other factors played a part in individual decisions. Recognising that decisions are not purely a function of disease characteristics is important for both women with DCIS and the clinicians who care for them.
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Affiliation(s)
- Amy Hatton
- Cancer Research Program, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, Victoria, 3004, Australia
| | - Natalie Heriot
- Cancer Research Program, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, Victoria, 3004, Australia
| | - John Zalcberg
- Cancer Research Program, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, Victoria, 3004, Australia; Medical Oncology Unit, Alfred Health, 55 Commercial Rd, Melbourne, Victoria, 3004, Australia
| | - Darshini Ayton
- Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, Victoria, 3004, Australia
| | | | - David Roder
- Cancer Epidemiology and Population Health, University of South Australia, Australia
| | - Boon H Chua
- Faculty of Medicine and Health, UNSW Sydney, Australia
| | - Jolyn Hersch
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Jocelyn Lippey
- Department of Surgery University of Melbourne, Australia
| | - Jane Fox
- Department of Surgery Monash University, Monash Health Clayton Road Clayton Victoria, Australia
| | - Christobel Saunders
- Department of Surgery, School of Medicine, University of Western Australia, Australia
| | - G Bruce Mann
- Department of Surgery University of Melbourne, Australia
| | - Jane Synnot
- Consumer Representative Breast Cancer Network Australia, Australia
| | - Robin J Bell
- Women's Health Research Program, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, Victoria, 3004, Australia.
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Peila R, Xue X, Cauley JA, Chlebowski R, Manson JE, Nassir R, Saquib N, Shadyab AH, Zhang Z, Wassertheil-Smoller S, Rohan TE. A Randomized Trial of Calcium Plus Vitamin D Supplementation and Risk of Ductal Carcinoma In Situ of the Breast. JNCI Cancer Spectr 2021; 5:pkab072. [PMID: 34476342 PMCID: PMC8406436 DOI: 10.1093/jncics/pkab072] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 11/18/2022] Open
Abstract
Background The effect of calcium plus vitamin D (CaD) supplementation on risk of ductal carcinoma in situ (DCIS) of the breast, a nonobligate precursor of invasive ductal carcinoma, is not well understood. In this secondary analysis, we examined this association in the Women’s Health Initiative CaD trial over approximately 20 years of follow-up. Methods A total of 36 282 cancer-free postmenopausal women (50-79 years) were randomly assigned to daily (d) calcium (1000 mg) plus vitamin D (400 IU) supplementation or to a placebo. Personal supplementation with vitamin D (≤600 IU/d, subsequently raised to 1000 IU/d) and calcium (≤1000 mg/d) was allowed. The intervention phase (median = 7.1 years), was followed by a postintervention phase (additional 13.8 years), which included 86.0% of the surviving women. A total of 595 incident DCIS cases were ascertained. Hazard ratios (HRs) plus 95% confidence intervals (CIs) were calculated. Results The intervention group had a lower risk of DCIS throughout follow-up (HR = 0.82, 95% CI = 0.70 to 0.96) and during the postintervention phase (HR = 0.76, 95% CI = 0.61 to 0.94). The group that used CaD personal supplements in combination with the trial intervention had a lower risk of DCIS compared with the trial placebo group that did not use personal supplementation (HR = 0.72, 95% CI = 0.56 to 0.91). Conclusions CaD supplementation in postmenopausal women was associated with reduced risk of DCIS, raising the possibility that consistent use of these supplements might provide long-term benefits for the prevention of DCIS.
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Affiliation(s)
- Rita Peila
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jane A Cauley
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Rowan Chlebowski
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rami Nassir
- Department of Pathology, College of Medicine, Umm Al-Qura University, Saudi Arabia
| | - Nazmus Saquib
- College of Medicine at Sulaiman, Al Rajhi University, Sulaiman AlRajhi, Saudi Arabia
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Zhenzhen Zhang
- Division of Oncological Science, Knight Cancer Institute, Oregon Health and Science University, Portland, OR, USA
| | | | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
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Trends in incidence, treatment, survival and subsequent breast cancer in lobular carcinoma in situ in the Netherlands: A population-based analysis. Breast 2021; 59:376-382. [PMID: 34428722 PMCID: PMC8382994 DOI: 10.1016/j.breast.2021.07.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/26/2021] [Accepted: 07/30/2021] [Indexed: 11/30/2022] Open
Abstract
Purpose We analysed incidence, treatment, survival, occurrence of ductal carcinoma in situ (DCIS) and invasive breast cancer (IBC) after lobular carcinoma in situ (LCIS) in the Netherlands. Methods All women diagnosed with classic LCIS between 1989 and 2017 were identified from the Netherlands Cancer Registry. We calculated overall (OS), relative survival (RS) and cumulative incidence functions (CIF, accounting for competing risks) of mortality, DCIS and IBC. For IBC, standardised incidence ratios (SIR) of IBC were calculated. Analyses were stratified for surgical treatment. Results We included 1890 patients. Median age was 51 years. Median follow-up was 8.5 years. In 1989–2017, LCIS incidence increased from 41 to 124, surgical treatment decreased from 100% to 41.1 % – mostly BCS. 10-year OS and 20-year RS exceeded 90 % in all subgroups. Overall, 48 (2.5 %) and 270 (14.3 %) patients were diagnosed with DCIS and IBC. IBCs were mostly early-stage. After mastectomy, 13 of 14 IBCs presented contralaterally. In the other groups, 64.8–70.9 % of IBCs presented ipsilaterally, 34.5–53.9 % of these were lobular. The SIR of ipsilateral IBC was highest after no surgery (6.9, 95%CI:4.9–9.4), lowest after mastectomy (0.2, 95%CI:0.4–0.8). Conclusion LCIS incidence increased, surgical treatment decreased. The low mortality risks support consideration of active surveillance. However, the increased IBC incidence suggests careful monitoring. The incidence of LCIS increased, while surgical treatment decreased over time. 10- and 20-year relative survival rates exceeded 90 %, irrespective of surgery. The risk of breast cancer was highest after no surgery, lowest after mastectomy. Subsequent breast cancers were generally of low stage. Active surveillance for LCIS is advised, with the current follow-up five years.
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48
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Lee JM, Ichikawa LE, Wernli KJ, Bowles E, Specht JM, Kerlikowske K, Miglioretti DL, Lowry KP, Tosteson ANA, Stout NK, Houssami N, Onega T, Buist DSM. Digital Mammography and Breast Tomosynthesis Performance in Women with a Personal History of Breast Cancer, 2007-2016. Radiology 2021; 300:290-300. [PMID: 34003059 PMCID: PMC8328154 DOI: 10.1148/radiol.2021204581] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/01/2021] [Accepted: 03/12/2021] [Indexed: 01/13/2023]
Abstract
Background Since 2007, digital mammography and digital breast tomosynthesis (DBT) replaced screen-film mammography. Whether these technologic advances have improved diagnostic performance has, to the knowledge of the authors, not yet been established. Purpose To evaluate the performance and outcomes of surveillance mammography (digital mammography and DBT) performed from 2007 to 2016 in women with a personal history of breast cancer and compare with data from 1996 to 2007 and the performance of digital mammography screening benchmarks. Materials and Methods In this observational cohort study, five Breast Cancer Surveillance Consortium registries provided prospectively collected mammography data linked with tumor registry and pathologic outcomes. This study identified asymptomatic women with American Joint Committee on Cancer anatomic stages 0-III primary breast cancer who underwent surveillance mammography from 2007 to 2016. The primary outcome was a second breast cancer diagnosis within 1 year of mammography. Performance measures included the recall rate, cancer detection rate, interval cancer rate, positive predictive value of biopsy recommendation, sensitivity, and specificity. Results Among 32 331 women who underwent 117 971 surveillance mammographic examinations (112 269 digital mammographic examinations and 5702 DBT examinations), the mean age at initial diagnosis was 59 years ± 12 (standard deviation). Of 1418 second breast cancers diagnosed, 998 were surveillance-detected cancers and 420 were interval cancers. The recall rate was 8.8% (10 365 of 117 971; 95% CI: 8.6%, 9.0%), the cancer detection rate was 8.5 per 1000 examinations (998 of 117 971; 95% CI: 8.0, 9.0), the interval cancer rate was 3.6 per 1000 examinations (420 of 117 971; 95% CI: 3.2, 3.9), the positive predictive value of biopsy recommendation was 31.0% (998 of 3220; 95% CI: 29.4%, 32.7%), the sensitivity was 70.4% (998 of 1418; 95% CI: 67.9%, 72.7%), and the specificity was 98.1% (114 331 of 116 553; 95% CI: 98.0%, 98.2%). Compared with previously published studies, interval cancer rate was comparable with rates from 1996 to 2007 in women with a personal history of breast cancer and was higher than the published digital mammography screening benchmarks. Conclusion In transitioning from screen-film to digital mammography and digital breast tomosynthesis, surveillance mammography performance demonstrated minimal improvement over time and remained inferior to the performance of screening mammography benchmarks. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Moy and Gao in this issue.
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Affiliation(s)
- Janie M. Lee
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Laura E. Ichikawa
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Karen J. Wernli
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Erin Bowles
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Jennifer M. Specht
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Karla Kerlikowske
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Diana L. Miglioretti
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Kathryn P. Lowry
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Anna N. A. Tosteson
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Natasha K. Stout
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Nehmat Houssami
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Tracy Onega
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
| | - Diana S. M. Buist
- From the Departments of Radiology (J.M.L., K.P.L.) and Medicine
(J.M.S.), University of Washington School of Medicine, Seattle, Wash; Seattle
Cancer Care Alliance, 1144 Eastlake Ave East, LG2-200, Seattle, WA 98109
(J.M.L., J.M.S., K.P.L.); Kaiser Permanente Washington Health Research
Institute, Seattle, Wash (L.E.I., K.J.W., E.B., D.L.M., D.S.M.B.); Department of
Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine,
Pasadena, Calif (K.J.W., D.S.M.B.); Department of Medicine, Division of General
Internal Medicine, Department of Veterans Affairs, and Department of
Epidemiology and Biostatistics, University of California, San Francisco, San
Francisco, Calif (K.K.); Division of Biostatistics, Department of Public Health
Sciences, University of California Davis School of Medicine, Davis, Calif
(D.L.M.); Dartmouth Institute for Health Policy and Clinical Practice (A.N.A.T.,
T.O.) and Norris Cotton Cancer Center (A.N.A.T.), Geisel School of Medicine,
Dartmouth College, Lebanon, NH; Department of Population Medicine, Harvard
Medical School and Harvard Pilgrim Health Care Institute, Harvard University,
Boston, Mass (N.K.S.); Faculty of Medicine and Health, Sydney School of Public
Health, University of Sydney, New South Wales, Australia (N.H.); and Huntsman
Cancer Institute, University of Utah, Salt Lake City, Utah (T.O.)
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Peila R, Chlebowski R, Manson JE, Crane TE, Lane DS, Saquib N, Shadyab AH, Tabung FK, Barac A, Zhang Z, Pan K, Wassertheil-Smoller S, Rohan TE. Low-Fat Dietary Modification and Risk of Ductal Carcinoma In Situ of the Breast in the Women's Health Initiative Dietary Modification Trial. Cancer Epidemiol Biomarkers Prev 2021; 30:1753-1756. [PMID: 34187856 DOI: 10.1158/1055-9965.epi-21-0404] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 05/26/2021] [Accepted: 06/23/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Results of observational studies of the association between dietary fat and risk of invasive breast cancer have been inconsistent. In the Women's Health Initiative dietary modification (DM) randomized trial designed to lower fat intake, the intervention was not associated with a statistically significant reduction of overall breast cancer risk. However, the DM association with risk of ductal carcinoma in situ (DCIS) of the breast, a putative breast cancer precursor, has not been reported. METHODS A total of 48,835 postmenopausal women, ages 50-79 years at enrollment, with no breast cancer history and ≥32% of total energy intake from fat, were randomly assigned either to a dietary intervention (n = 19,541) designed to reduce total fat intake to 20% of energy and to increase vegetable, fruit, and grain consumption, or to a comparison group (n = 29,294). Cox proportional hazards models were used to estimate HRs and 95% confidence intervals for the association between the intervention and DCIS risk. RESULTS During 18.7 years (median) cumulative follow-up, including intervention (∼8.7 years) and post-intervention phases (∼13.0 years), 817 DCIS cases were ascertained. No evidence of an association between the DM intervention and DCIS risk was observed overall, or by trial phase (intervention and post-intervention). Similarly, no associations were found in subgroups defined by potential risk factors for DCIS. CONCLUSIONS DM aiming to reduce fat intake was not associated with altered risk of DCIS. IMPACT These results do not provide evidence of an association between dietary fat reduction and the risk of DCIS among postmenopausal women.
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Affiliation(s)
- Rita Peila
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York.
| | - Rowan Chlebowski
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Tracy E Crane
- Department of Biobehavioral Sciences, College of Nursing, University of Arizona, Tucson, Arizona
| | - Dorothy S Lane
- Department of Family, Population and Preventive Medicine, Stony Brook University School of Medicine, Stony Brook, New York
| | - Nazmus Saquib
- College of Medicine at Sulaiman, Al Rajhi University, Al Bukayriyah, Saudi Arabia
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California
| | - Fred K Tabung
- Internal Medicine, Division of Medical Oncology, The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, Ohio
| | - Ana Barac
- MedStar Heart and Vascular Institute, Washington, District of Columbia
| | - Zhenzhen Zhang
- Division of Oncological Science, Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon
| | - Kathy Pan
- The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California
| | | | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
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50
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Houghton SC, Hankinson SE. Cancer Progress and Priorities: Breast Cancer. Cancer Epidemiol Biomarkers Prev 2021; 30:822-844. [PMID: 33947744 PMCID: PMC8104131 DOI: 10.1158/1055-9965.epi-20-1193] [Citation(s) in RCA: 76] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 10/13/2020] [Accepted: 02/19/2021] [Indexed: 12/24/2022] Open
Affiliation(s)
- Serena C Houghton
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, Massachusetts
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