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Kaneko K, Nagata H, Yang XY, Ginzel J, Hartman Z, Everitt J, Hughes P, Haystead T, Morse M, Lyerly HK, Osada T. A Non-Invasive Deep Photoablation Technique to Inhibit DCIS Progression and Induce Antitumor Immunity. Cancers (Basel) 2022; 14:cancers14235762. [PMID: 36497243 PMCID: PMC9735847 DOI: 10.3390/cancers14235762] [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: 10/30/2022] [Revised: 11/18/2022] [Accepted: 11/20/2022] [Indexed: 11/25/2022] Open
Abstract
Ductal carcinoma in situ (DCIS) of the breast is often managed by lumpectomy and radiation or mastectomy, despite its indolent features. Effective non-invasive treatment strategies could reduce the morbidity of DCIS treatment. We have exploited the high heat shock protein 90 (HSP90) activity in premalignant and malignant breast disease to non-invasively detect and selectively ablate tumors using photodynamic therapy (PDT). PDT with the HSP90-targeting photosensitizer, HS201, can not only ablate invasive breast cancers (BCs) while sparing non-tumor tissue, but also induce antitumor immunity. We hypothesized that HS201-PDT would both non-invasively ablate DCIS and prevent progression to invasive BC. We tested in vitro selective uptake and photosensitivity of HS201 in DCIS cell lines compared to the non-selective parental verteporfin, and assessed in vivo antitumor efficacy in mammary fat pad and intraductal implantation models. Selective uptake of HS201 enabled treatment of intraductal lesions while minimizing toxicity to non-tumor tissue. The in vivo activity of HS201-PDT was also tested in female MMTV-neu mice prior to the development of spontaneous invasive BC. Mice aged 5 months were administered HS201, and their mammary glands were exposed to laser light. HS201-PDT delayed the emergence of invasive BC, significantly prolonged disease-free survival (DFS) (p = 0.0328) and tended to improve overall survival compared to the no-treatment control (p = 0.0872). Systemic administration of anti-PD-L1 was combined with HS201-PDT and was tested in a more aggressive spontaneous tumor model, HER2delta16 transgenic mice. A single PDT dose combined with anti-PD-L1 improved DFS compared to the no-treatment control, which was significantly improved with repetitive HS201-PDT given with anti-PD-L1 (p = 0.0319). In conclusion, a non-invasive, skin- and tissue-sparing PDT strategy in combination with anti-PD-L1 antibodies effectively prevented malignant progression of DCIS to invasive BC. This non-invasive treatment strategy of DCIS may be safe and effective, while providing an option to reduce the morbidity of current conventional treatment for patients with DCIS. Clinical testing of HS201 is currently underway.
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Affiliation(s)
- Kensuke Kaneko
- Department of Surgery, Duke University Medical Center, 203 Research Drive, Rm 433A Box 2606, Durham, NC 27710, USA
| | - Hiroshi Nagata
- Department of Surgery, Duke University Medical Center, 203 Research Drive, Rm 433A Box 2606, Durham, NC 27710, USA
| | - Xiao-Yi Yang
- Department of Surgery, Duke University Medical Center, 203 Research Drive, Rm 433A Box 2606, Durham, NC 27710, USA
| | - Joshua Ginzel
- Department of Cell Biology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Zachary Hartman
- Department of Surgery, Duke University Medical Center, 203 Research Drive, Rm 433A Box 2606, Durham, NC 27710, USA
| | - Jeffrey Everitt
- Department of Pathology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Philip Hughes
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Timothy Haystead
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC 27710, USA
| | - Michael Morse
- Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA
| | - Herbert Kim Lyerly
- Department of Surgery, Duke University Medical Center, 203 Research Drive, Rm 433A Box 2606, Durham, NC 27710, USA
| | - Takuya Osada
- Department of Surgery, Duke University Medical Center, 203 Research Drive, Rm 433A Box 2606, Durham, NC 27710, USA
- Correspondence: ; Tel.: +1-919-668-5369
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2
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Green L. Radiogenomics and DCIS: Can the Mammographic Appearance of Microcalcifications Tell us More Than Just the Likelihood of Malignancy? Acad Radiol 2021; 28:969-971. [PMID: 33451900 DOI: 10.1016/j.acra.2021.01.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 01/05/2021] [Indexed: 02/01/2023]
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3
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Paszat L, Sutradhar R, Rakovitch E. The impact of ductal carcinoma in situ on health services utilization. Breast Cancer Res Treat 2020; 182:159-168. [PMID: 32385793 DOI: 10.1007/s10549-020-05664-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 05/02/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE To determine the intermediate-term impact of diagnosis and treatment of ductal carcinoma in situ of the breast (DCIS) on health services utilization, we compared utilization by cases of DCIS to unaffected controls. METHODS We identified a population-based cohort of Ontario females diagnosed with DCIS between 2010 and 2015. We matched 5 controls without any history of cancer to each case, on the date of diagnosis of the case (the index date), by age, annual mammography history, socioeconomic status, and comorbidity. We identified billing claims and hospital records, during the interval 13 to 60 months prior to, and subsequent to the index date, and computed rates per 100 person-years during both intervals, to conduct a difference-in-differences analysis. We used negative binomial regression to test if the change in rates in health services differed between cases and controls. RESULTS Visits with a breast diagnosis code, and claims for breast surgery and imaging, were significantly increased among cases compared to controls (all p values < 0.0001) after DCIS;however, there was no increase in visits for anxiety or depression (RR 1.13 (95% CI 0.97, 1.32, p = 0.11), visits to psychiatrists (RR 1.07 (95% CI 0.82, 1.40) p = 0.6), or hospital procedures other than breast surgery (RR 1.10 (95% CI 0.88, 1.37) p = 0.4). CONCLUSIONS DCIS is associated with more visits and procedures related to the breast compared to controls following diagnosis and treatment, but other health services utilization and visits related to anxiety and depression were not increased.
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Affiliation(s)
- Lawrence Paszat
- University of Toronto, Sunnybrook Research Institute, T2-156-2075 Bayview Avenue, Toronto, ON, M4N 3M45, Canada.
| | - Rinku Sutradhar
- Dalla Lana School of Public Health, University of Toronto, G106 - 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Eileen Rakovitch
- University of Toronto, Sunnybrook Research Institute, T2-152 - 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
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4
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Lehman CD, Gatsonis C, Romanoff J, Khan SA, Carlos R, Solin LJ, Badve S, McCaskill-Stevens W, Corsetti RL, Rahbar H, Spell DW, Blankstein KB, Han LK, Sabol JL, Bumberry JR, Gareen I, Snyder BS, Wagner LI, Miller KD, Sparano JA, Comstock C. Association of Magnetic Resonance Imaging and a 12-Gene Expression Assay With Breast Ductal Carcinoma In Situ Treatment. JAMA Oncol 2020; 5:1036-1042. [PMID: 30653209 DOI: 10.1001/jamaoncol.2018.6269] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Importance Advanced diagnostics, such as magnetic resonance imaging (MRI) and gene expression profiles, are potentially useful to guide targeted treatment in patients with ductal carcinoma in situ (DCIS). Objectives To examine the proportion of patients who converted to mastectomy after MRI and the reasons for those conversions and to measure patient adherence to radiotherapy guided by the 12-gene DCIS score. Design, Setting, and Participants Analysis of a prospective, cohort, nonrandomized clinical trial that enrolled women with DCIS on core biopsy who were candidates for wide local excision (WLE) from 75 institutions from March 25, 2015, to April 27, 2016, through the Eastern Cooperative Oncology Group-American College of Radiology Imaging Network trial E4112. Interventions Participants underwent breast MRI before surgery, and subsequent management incorporated MRI findings for choice of surgery. The DCIS score was used to guide radiotherapy recommendations among women with DCIS who had WLE as the final procedure and had tumor-free excision margins of 2 mm or greater. Main Outcomes and Measures The primary end point was to estimate the conversion rate to mastectomy and the reason for conversion. Results Of 339 evaluable women (mean [SD] age, 59.1 [10.1] years; 262 [77.3%] of European descent) eligible for WLE before MRI, 65 (19.2%; 95% CI, 15.3%-23.7%) converted to mastectomy. Of these 65 patients, conversion was based on MRI findings in 25 (38.5%), patient preference in 25 (38.5%), positive margins after attempted WLE in 10 (15.4%), positive genetic test results in 3 (4.6%), and contraindication to radiotherapy in 2 (3.1%). Among the 285 who had WLE performed after MRI as the first surgical procedure, 274 (96.1%) achieved successful breast conservation. Of 171 women eligible for radiotherapy guided by DCIS score (clear margins, absence of invasive disease, and score obtained), the score was low (<39) in 82 (48.0%; 95% CI, 40.6%-55.4%) and intermediate-high (≥39) in 89 (52.0%; 95% CI, 44.6%-59.4%). Of these 171 patients, 159 (93.0%) were adherent with recommendations. Conclusions and Relevance Among women with DCIS who were WLE candidates based on conventional imaging, multiple factors were associated with conversion to mastectomy. This study may provide useful preliminary information required for designing a planned randomized clinical trial to determine the effect of MRI and DCIS score on surgical management, radiotherapy, overall resource use, and clinical outcomes, with the ultimate goal of achieving greater therapeutic precision. Trial Registration ClinicalTrials.gov identifier: NCT02352883.
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Affiliation(s)
- Constance D Lehman
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Constantine Gatsonis
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Justin Romanoff
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Seema A Khan
- Department of Surgery, Northwestern University, Chicago, Illinois
| | - Ruth Carlos
- Department of Radiology, University of Michigan, Ann Arbor
| | - Lawrence J Solin
- Department of Radiation Oncology, Albert Einstein Healthcare Network, Philadelphia, Pennsylvania
| | - Sunil Badve
- Department of Pathology, Indiana University, Indianapolis
| | | | - Ralph L Corsetti
- Department of Surgical Oncology, Ochsner Medical Center, New Orleans, Louisiana
| | - Habib Rahbar
- Department of Radiology, University of Washington, Seattle
| | - Derrick W Spell
- Gulf South National Cancer Institute Community Oncology Research Program, New Orleans, Louisiana
| | - Kenneth B Blankstein
- Department of Medical Oncology, Hunterdon Medical Center, Flemington, New Jersey
| | - Linda K Han
- Department of Pathology, Indiana University, Indianapolis
| | - Jennifer L Sabol
- Department of Surgical Oncology, Lankenau Medical Center, Wynnewood, Pennsylvania
| | - John R Bumberry
- Department of Surgery, Mercy Hospital, Springfield, Missouri
| | - Ilana Gareen
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Bradley S Snyder
- Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island
| | - Lynne I Wagner
- Department of Social Science and Health Policy, Wake Forest University Health Sciences, Winston Salem, North Carolina
| | - Kathy D Miller
- Department of Pathology, Indiana University, Indianapolis
| | - Joseph A Sparano
- Department of Medical Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Christopher Comstock
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
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Brito ÉDAC, Lima MS, Siqueira HFF, Marques AD, Moura AR, Hora EC, Lima CA, Santos MDO, de Souza MC, da Silva AM, Brito HLDF, Cipolotti R. Assessing trends of breast cancer and carcinoma in situ to monitor screening policies in developing settings. Sci Rep 2019; 9:14144. [PMID: 31578436 PMCID: PMC6775160 DOI: 10.1038/s41598-019-50504-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Accepted: 09/13/2019] [Indexed: 12/29/2022] Open
Abstract
There have been arguments about the role of breast cancer screening at the population level, and some points of controversy have arisen, such the establishment of organized screening policies and the age at which to begin screening. The real benefit of screening has been questioned because the results of this practice may increase the diagnosis of indolent lesions without decreasing mortality due to breast cancer. The authors have proposed a study of incidence and mortality trends for breast cancer in a developing setting in Brazil to monitor the effectiveness of the official recommendations that prioritize the age group from 50 to 69 years. The database of the Cancer Registry and the Mortality Information System was used to calculate age-standardized and age-specific rates, which were then used to calculate incidence and mortality trends using the Joinpoint Regression Program. The results showed stability in trends across all ages and age-specific groups in both incidence and mortality. In conclusion, we found that incidence and mortality rates are compatible with those in regions with similar human development indexes, and trends have demonstrated stabilization. Thus, we do not endorse changes in the official recommendations to conduct screening for ages other than 50 to 69 years, nor should policy makers implement organized screening strategies.
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Affiliation(s)
- Érika de Abreu Costa Brito
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | - Marcela Sampaio Lima
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | | | - Adriane Dórea Marques
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | - Alex Rodrigues Moura
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | | | - Carlos Anselmo Lima
- Aracaju Cancer Registry, Aracaju, Sergipe, Brazil.
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil.
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil.
- Researcher, CHAMADA MS/CNPq/FAPITEC/SE/SES - No 06/2018, Sergipe, Brazil.
| | | | | | - Angela Maria da Silva
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | - Hugo Leite de Farias Brito
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil
| | - Rosana Cipolotti
- Health Sciences Graduate Program, Aracaju, Sergipe, Brazil
- University Hospital/EBSERH/Federal University of Sergipe, Aracaju, Sergipe, Brazil
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Incerti D, Browne J, Huber C, Baker CL, Makinson G, Goren A, Willke R, Stevens W. An empirical tool for estimating the share of unmet need due to healthcare inefficiencies, suboptimal access, and lack of effective technologies. BMC Health Serv Res 2019; 19:113. [PMID: 30744613 PMCID: PMC6371562 DOI: 10.1186/s12913-019-3914-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 01/17/2019] [Indexed: 11/10/2022] Open
Abstract
Background Although there has been growing attention to the measurement of unmet need, which is the overall epidemiological burden of disease, current measures ignore the burden that could be eliminated from technological advances or more effective use of current technologies. Methods We developed a conceptual framework and empirical tool that separates unmet need from met need and subcategorizes the causes of unmet need into suboptimal access to and ineffective use of current technologies and lack of current technologies. Statistical models were used to model the relationship between health-related quality of life (HR-QOL) and treatment utilization using data from the National Health and Wellness Survey (NHWS). Predicted HR-QOL was combined with prevalence data from the Global Burden of Disease Study (GBD) to estimate met need and the causes of unmet need due to morbidity in the US and EU5 for five diseases: rheumatoid arthritis, breast cancer, Parkinson’s disease, hepatitis C, and chronic obstructive pulmonary disease (COPD). Results HR-QOL was positively correlated with adherence to medication and patient-perceived quality and negatively correlated with financial barriers. Met need was substantial across all disease and regions, although significant unmet need remains. While the majority of unmet need was driven by lack of technologies rather than ineffective use of current technologies, there was considerable variation across diseases and regions. Overall unmet need was largest for COPD, which had the highest prevalence of all diseases in this study. Conclusion We developed a methodology that can inform decisions about which diseases to invest in and whether those investments should focus on improving access to currently available technologies or inventing new technologies. Electronic supplementary material The online version of this article (10.1186/s12913-019-3914-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Devin Incerti
- Precision Health Economics, 11100 Santa Monica Blvd #500, Los Angeles, CA, 90025, USA.
| | - John Browne
- University College Cork, College Rd, University College, Cork, Ireland
| | - Caroline Huber
- Precision Health Economics, 11100 Santa Monica Blvd #500, Los Angeles, CA, 90025, USA
| | | | | | - Amir Goren
- Kantar Health, 11 Madison Ave # 12, New York, NY, 10010, USA
| | - Richard Willke
- International Society for Pharmacoeconomics and Outcomes Research, 505 Lawrence Square Blvd, South Lawrenceville, NJ, 08648, USA
| | - Warren Stevens
- Parexel International, 2520 Meridian Parkway, Durham, NC, 27713, USA
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7
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Paszat L, Sutradhar R, Zhou L, Nofech-Mozes S, Rakovitch E. Including the Ductal Carcinoma-In-Situ (DCIS) Score in the Development of a Multivariable Prediction Model for Recurrence After Excision of DCIS. Clin Breast Cancer 2019; 19:35-46. [DOI: 10.1016/j.clbc.2018.07.018] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 07/19/2018] [Accepted: 07/22/2018] [Indexed: 10/28/2022]
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8
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Karavasiloglou N, Matthes KL, Berlin C, Limam M, Wanner M, Korol D, Rohrmann S. Increasing trends in in situ breast cancer incidence in a region with no population-based mammographic screening program: results from Zurich, Switzerland 2003-2014. J Cancer Res Clin Oncol 2018; 145:653-660. [PMID: 30547321 DOI: 10.1007/s00432-018-2822-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 12/10/2018] [Indexed: 12/13/2022]
Abstract
PURPOSE Increase in in situ breast cancer (BCIS) incidence has been reported across Europe and the USA. However, little is known about the trends in BCIS incidence in regions without population-based mammographic screening programs. We set out to investigate these trends in Zurich, Switzerland, where only opportunistic mammographic screening exists. METHODS Data from 989 women diagnosed with a primary BCIS between 2003 and 2014 were used in our analyses. Age-standardized incidence rates per 100,000 person-years (ASR) were computed per year. Additional analyses by BCIS subtype, by age group at diagnosis and by incidence period were conducted. Incidence trends over time were assessed using joinpoint regression analysis. RESULTS The overall BCIS ASR was 10.7 cases per 100,000 person-years with an increasing trend over the study period. A similar trend was observed for the ductal carcinoma in situ (DCIS) ASR, while the lobular carcinoma in situ (LCIS) ASR decreased. Age-specific analyses revealed that the 50-59 year age group had the highest BCIS ASR. The highest increase in BCIS ASR, even though not statistically significant, was observed for the < 40 year age group. CONCLUSIONS BCIS ASR increased linearly over a 12-year period. The increase was reflected by an increase in DCIS ASR, whereas LCIS ASR decreased over time. The highest increase in BCIS ASR over the study period was observed for the < 40 year age group, even though not statistically significant. Patient and tumor characteristics of this group that may be associated with BCIS development warrant further investigation.
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Affiliation(s)
- Nena Karavasiloglou
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Hirschengraben 82, 8001, Zurich, Switzerland.,Cancer Registry Zurich and Zug, University Hospital Zurich, Vogelsangstrasse 10, 8091, Zurich, Switzerland
| | - Katarina L Matthes
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Hirschengraben 82, 8001, Zurich, Switzerland.,Cancer Registry Zurich and Zug, University Hospital Zurich, Vogelsangstrasse 10, 8091, Zurich, Switzerland
| | - Claudia Berlin
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland
| | - Manuela Limam
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Hirschengraben 82, 8001, Zurich, Switzerland.,Cancer Registry Zurich and Zug, University Hospital Zurich, Vogelsangstrasse 10, 8091, Zurich, Switzerland
| | - Miriam Wanner
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Hirschengraben 82, 8001, Zurich, Switzerland.,Cancer Registry Zurich and Zug, University Hospital Zurich, Vogelsangstrasse 10, 8091, Zurich, Switzerland
| | - Dimitri Korol
- Cancer Registry Zurich and Zug, University Hospital Zurich, Vogelsangstrasse 10, 8091, Zurich, Switzerland
| | - Sabine Rohrmann
- Division of Chronic Disease Epidemiology, Institute for Epidemiology, Biostatistics and Prevention, University of Zurich, Hirschengraben 82, 8001, Zurich, Switzerland. .,Cancer Registry Zurich and Zug, University Hospital Zurich, Vogelsangstrasse 10, 8091, Zurich, Switzerland.
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9
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Roca-Barceló A, Viñas G, Pla H, Carbó A, Comas R, Izquierdo Á, Pinheiro PS, Vilardell L, Solans M, Marcos-Gragera R. Mortality of women with ductal carcinoma in situ of the breast: a population-based study from the Girona province, Spain (1994-2013). Clin Transl Oncol 2018; 21:891-899. [PMID: 30536209 DOI: 10.1007/s12094-018-1994-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 11/17/2018] [Indexed: 12/15/2022]
Abstract
PURPOSE We aim to comprehensively describe the incidence and mortality trends of ductal carcinoma in situ (DCIS) in the Girona province, Spain (1994-2013) and to estimate the all-cause mortality excess risk of diagnosed women. METHODS Age-standardized rates of DCIS were estimated between 1994 and 2013. Standard mortality ratios (SMR) and absolute excess mortality were calculated overall and by tumor and patient characteristics. A sensitivity analysis was conducted excluding cases with a subsequent invasive breast cancer (sIBC). RESULTS Of the 641 women included, 56 died (follow-up time: 8.4 person-years). Between 1994 and 2013, a significant increase in incidence and decrease in mortality was identified among women aged between 50 and 69 years old. Neoplasms and circulatory system disease were the most common causes of death. No excess risk of death was found overall, except for women aged < 50 years (SMR = 3.44, 95% CI 1.85; 6.40) and those with a sIBC (SMR = 2.51, 95% CI 1.26; 5.02), risk that lessened when cases with sIBC were excluded. Patients with sIBC also showed an excess risk (SMR = 2.29, 95% CI 1.03; 5.10). CONCLUSIONS Among women aged 50-69 years old, incidence of DCIS has significantly increased yet mortality has decreased. Overall, the all-cause mortality risk of women diagnosed with DCIS remains similar to that of the general population except for women diagnosed before age 50 and those with sIBC, who showed a significant increased risk. Differential management of these patients should be considered.
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Affiliation(s)
- A Roca-Barceló
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Carrer del Sol, 15, 17004, Girona, Spain. .,UK Small Area Health Statistics Unit, MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
| | - G Viñas
- Department of Medical Oncology, Institut Català d'Oncologia Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - H Pla
- Department of Medical Oncology, Institut Català d'Oncologia Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - A Carbó
- Department of Medical Oncology, Institut Català d'Oncologia Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - R Comas
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Carrer del Sol, 15, 17004, Girona, Spain.,Oncology Data Science (ODysSey) Group, Vall d' Hebron University Hospital and Institute of Oncology (VHIO), Barcelona, Spain
| | - Á Izquierdo
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Carrer del Sol, 15, 17004, Girona, Spain.,Department of Medical Oncology, Institut Català d'Oncologia Hospital Universitari de Girona Dr Josep Trueta, Girona, Spain
| | - P S Pinheiro
- Department of Epidemiology, University of Miami Miller School of Medicine, Slvester Comprehensive Cancer Center, Miami, FL, USA
| | - L Vilardell
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Carrer del Sol, 15, 17004, Girona, Spain
| | - M Solans
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Carrer del Sol, 15, 17004, Girona, Spain.,Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Avenida Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain.,Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Carrer de la Universitat de Girona 10, 17003, Girona, Spain.,Descriptive Epidemiology, Genetics and Cancer Prevention Group, Biomedical Research Institute (IDIBGI), Girona, Spain
| | - R Marcos-Gragera
- Epidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Autonomous Government of Catalonia, Catalan Institute of Oncology, Carrer del Sol, 15, 17004, Girona, Spain.,Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Avenida Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029, Madrid, Spain.,Descriptive Epidemiology, Genetics and Cancer Prevention Group, Biomedical Research Institute (IDIBGI), Girona, Spain.,Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain
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10
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Prognostic Significance of Clinicopathologic Features in Patients With Breast Ductal Carcinoma-in-Situ Who Received Breast-Conserving Surgery. Clin Breast Cancer 2018; 18:441-450.e2. [PMID: 29709458 DOI: 10.1016/j.clbc.2018.04.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 03/23/2018] [Accepted: 04/02/2018] [Indexed: 11/22/2022]
Abstract
PURPOSE To identify whether a certain group of breast ductal carcinoma-in-situ (DCIS) patients can be treated with breast-conserving surgery (BCS) alone; to analyze the clinicopathologic features of DCIS and tamoxifen administration in patients treated with BCS who developed ipsilateral breast tumor recurrence (IBTR). PATIENTS AND METHODS Data for 375 women with breast DCIS who underwent BCS at our institute between June 2003 and October 2010 were analyzed. The patients were divided into different categories according to the recurrence risk predicted using the California/Van Nuys Prognostic Index (USC/VNPI) score (4-6, 7-9, and 10-12), Eastern Cooperative Oncology Group (ECOG) E5194 criteria, or combined risk features with USC/VNPI score and ECOG E5194 criteria. The IBTR and disease-free survival (DFS) rates were calculated by the Kaplan-Meier method. The prognostic effects of age, tumor size, tumor grade, margin width, estrogen receptor status, USC/VNPI score, low-risk characteristics, and tamoxifen use were evaluated by log-rank tests. RESULTS Of the patients, 168 were treated with breast irradiation after BCS and 207 were not. The patients who were treated with radiotherapy (RT) tended to be younger (< 40 years), to have higher USC/VNPI scores (7-9), and to meet the ECOG E5194 non-cohort 1 criteria. The 7-year risk of IBTR was 6.2% (n = 11) in the patients who received irradiation and 9.0% (n = 22) in those who did not. DFS rates were better in the patients who underwent RT than in those who did not (93.3% vs. 88.5%, P = .056). Among the patients who underwent BCS alone, age ≥ 40 years, margin width > 10 mm, USC/VNPI scores 4-6, ECOG E5194 cohort 1 criteria, estrogen receptor-positive status, and tamoxifen use predicted lower IBTR and better DFS rates. In the multivariate analysis, combined low-risk characteristics (USC/VNPI scores 4-6 and meeting the ECOG E5194 cohort 1 criteria) were identified as an independent prognostic factor of lower IBTR (P = .028) and better DFS (P = .005). CONCLUSION RT reduces the risk of IBTR after BCS for DCIS of the breast. Patients with combined low-risk characteristics (USC/VNPI scores 4-6 and meeting the ECOG E5194 cohort 1 criteria) may be adequately treated with BCS alone.
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Abstract
Ductal carcinoma in situ (DCIS), the noninvasive form of breast cancer (BC), comprises just over 20% of breast cancer cases diagnosed each year in the USA. Most patients are treated with local excision of the disease followed by whole breast radiation therapy. Total mastectomy is not an uncommon approach, and total mastectomy with a contralateral risk-reducing mastectomy has been on the rise in the past decade. In estrogen receptor-positive disease, patients are often offered endocrine ablative therapy with a selective estrogen receptor modulator or an aromatase inhibitor as both treatment and prevention. Local regional treatment options have no impact upon ultimate overall survival. Long-term survival rates are higher in patients with DCIS than with any other form of the disease. Are these strikingly high success rates a testament to effective treatment strategies or is there a significant subset of DCIS that was unlikely to ever progress to invasive ductal carcinoma? DCIS was not seen in the US prior to the advent of screening mammography. When compared to other countries, the USA has the highest utilization of screening mammography and the incidence rate of DCIS. Other lines of evidence include autopsy series examining the breast tissue of women who died of other causes, missed-diagnosis series and current retrospective reviews of DCIS, all align in support of the concept of DCIS as indolent in the majority of cases [3-14]. The evidence suggests that both patient and physician misconceptions about DCIS have led to overdiagnosis and over-treatment of DCIS. Recently, a gene expression profiling tool (12 gene assay, Oncotype DCIS) has emerged that shows considerable promise in predicting class in DCIS patients.
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Affiliation(s)
- Joshua Feinberg
- Department of Surgery, Maimonides Breast Center, Maimonides Medical Center, Research Fellow, Oxford University, Oxford, England
| | - Rachel Wetstone
- Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA
| | - Dana Greenstein
- Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA
| | - Patrick Borgen
- Department of Surgery, Maimonides Medical Center, Brooklyn, NY, USA.
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12
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Histopathological characteristics of breast ductal carcinoma in situ and association with imaging findings. Breast Cancer 2015; 23:491-8. [DOI: 10.1007/s12282-015-0592-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2014] [Accepted: 01/25/2015] [Indexed: 11/25/2022]
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13
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Bischel LL, Beebe DJ, Sung KE. Microfluidic model of ductal carcinoma in situ with 3D, organotypic structure. BMC Cancer 2015; 15:12. [PMID: 25605670 PMCID: PMC4305264 DOI: 10.1186/s12885-015-1007-5] [Citation(s) in RCA: 75] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 01/03/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Ductal carcinoma in situ (DCIS) is a non-invasive form of breast cancer that is thought to be a precursor to most invasive and metastatic breast cancers. Understanding the mechanisms regulating the invasive transition of DCIS is critical in order to better understand how some types of DCIS become invasive. While significant insights have been gained using traditional in vivo and in vitro models, existing models do not adequately recapitulate key structure and functions of human DCIS well. In addition, existing models are time-consuming and costly, limiting their use in routine screens. Here, we present a microscale DCIS model that recapitulates key structures and functions of human DCIS, while enhancing the throughput capability of the system to simultaneously screen numerous molecules and drugs. METHODS Our microscale DCIS model is prepared in two steps. First, viscous finger patterning is used to generate mammary epithelial cell-lined lumens through extracellular matrix hydrogels. Next, DCIS cells are added to fill the mammary ducts to create a DCIS-like structure. For coculture experiments, human mammary fibroblasts (HMF) are added to the two side channels connected to the center channel containing DCIS. To validate the invasive transition of the DCIS model, the invasion of cancer cells and the loss of cell-cell junctions are then examined. A student t-test is conducted for statistical analysis. RESULTS We demonstrate that our DCIS model faithfully recapitulates key structures and functions of human mammary DCIS and can be employed to study the mechanisms involved in the invasive progression of DCIS. First, the formation of cell-cell junctions and cell polarity in the normal mammary duct, and the structure of the DCIS model are characterized. Second, coculture with HMF is shown to induce the invasion of DCIS. Third, multiple endpoint analyses are demonstrated to validate the invasion. CONCLUSIONS We have developed and characterized a novel in vitro model of normal and DCIS-inflicted mammary ducts with 3D lumen structures. These models will enable researchers to investigate the role of microenvironmental factors on the invasion of DCIS in more in vivo-like conditions.
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Affiliation(s)
- Lauren L Bischel
- Department of Biomedical Engineering, Wisconsin Institutes for Medical Research, University of Wisconsin, Madison, WI, USA.
- The University of Wisconsin Carbone Cancer Center, University of Wisconsin, Madison, WI, USA.
| | - David J Beebe
- Department of Biomedical Engineering, Wisconsin Institutes for Medical Research, University of Wisconsin, Madison, WI, USA.
- The University of Wisconsin Carbone Cancer Center, University of Wisconsin, Madison, WI, USA.
| | - Kyung E Sung
- Department of Biomedical Engineering, Wisconsin Institutes for Medical Research, University of Wisconsin, Madison, WI, USA.
- The University of Wisconsin Carbone Cancer Center, University of Wisconsin, Madison, WI, USA.
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14
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Trends in breast cancer incidence and mortality in France 1990–2008. Breast Cancer Res Treat 2014; 147:167-75. [DOI: 10.1007/s10549-014-3073-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 07/21/2014] [Indexed: 11/26/2022]
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15
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Seidenwurm D. Response to Dr Kopans's Comments. J Am Coll Radiol 2013. [DOI: 10.1016/j.jacr.2013.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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16
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Seidenwurm D. Counterpoint: The New England Journal of Medicine article suggesting overdiagnosis from mammography screening is scientifically correct and should not be withdrawn. J Am Coll Radiol 2013; 10:320-2; discussion 324. [PMID: 23542031 DOI: 10.1016/j.jacr.2013.01.017] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2013] [Accepted: 01/28/2013] [Indexed: 11/26/2022]
Affiliation(s)
- David Seidenwurm
- Diagnostic Division, Radiological Associates of Sacramento, 1500 Expo Parkway, Sacramento, CA 95815, USA.
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Kaur H, Mao S, Li Q, Sameni M, Krawetz SA, Sloane BF, Mattingly RR. RNA-Seq of human breast ductal carcinoma in situ models reveals aldehyde dehydrogenase isoform 5A1 as a novel potential target. PLoS One 2012; 7:e50249. [PMID: 23236365 PMCID: PMC3516505 DOI: 10.1371/journal.pone.0050249] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2012] [Accepted: 10/22/2012] [Indexed: 01/16/2023] Open
Abstract
Breast ductal carcinoma in situ (DCIS) is being found in great numbers of women due to the widespread use of mammography. To increase knowledge of DCIS, we determined the expression changes that are common among three DCIS models (MCF10.DCIS, SUM102 and SUM225) compared to the MCF10A model of non-tumorigenic mammary epithelial cells in three dimensional (3D) overlay culture with reconstituted basement membrane (rBM). Extracted mRNA was subjected to 76 cycles of deep sequencing (RNA-Seq) using Illumina Genome Analyzer GAIIx. Analysis of RNA-Seq results showed 295 consistently differentially expressed transcripts in the DCIS models. These differentially expressed genes encode proteins that are associated with a number of signaling pathways such as integrin, fibroblast growth factor and TGFβ signaling, show association with cell-cell signaling, cell-cell adhesion and cell proliferation, and have a notable bias toward localization in the extracellular and plasma membrane compartments. RNA-Seq data was validated by quantitative real-time PCR of selected differentially expressed genes. Aldehyde dehydrogenase 5A1 (ALDH5A1) which is an enzyme that is involved in mitochondrial glutamate metabolism, was over-expressed in all three DCIS models at both the mRNA and protein levels. Disulfiram and valproic acid are known to inhibit ALDH5A1 and are safe for chronic use in humans for other disorders. Both of these drugs significantly inhibited net proliferation of the DCIS 3D rBM overlay models, but had minimal effect on MCF10A 3D rBM overlay models. These results suggest that ALDH5A1 may play an important role in DCIS and potentially serve as a novel molecular therapeutic target.
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Affiliation(s)
- Hitchintan Kaur
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Shihong Mao
- Center for Molecular Medicine and Genetics, Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Quanwen Li
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
| | - Mansoureh Sameni
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Stephen A. Krawetz
- Center for Molecular Medicine and Genetics, Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
| | - Bonnie F. Sloane
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
| | - Raymond R. Mattingly
- Department of Pharmacology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan, United States of America
- * E-mail:
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Rudloff U, Jacks LM, Goldberg JI, Wynveen CA, Brogi E, Patil S, Van Zee KJ. Nomogram for predicting the risk of local recurrence after breast-conserving surgery for ductal carcinoma in situ. J Clin Oncol 2010; 28:3762-9. [PMID: 20625132 DOI: 10.1200/jco.2009.26.8847] [Citation(s) in RCA: 238] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
PURPOSE While the mortality associated with ductal carcinoma in situ (DCIS) is minimal, the risk of ipsilateral breast tumor recurrence (IBTR) after breast-conserving surgery (BCS) is relatively high. Radiation therapy (RT) and antiestrogen agents reduce the risk of IBTR and are considered standard treatment options after BCS. However, they have never been proven to improve survival, and in themselves carry rare but serious risks. Individualized estimation of IBTR risk would assist in decision making regarding the various treatment options for women with DCIS. PATIENTS AND METHODS From 1991 to 2006, 1,868 consecutive patients treated with BCS for DCIS were identified. A multivariate Cox proportional hazards model was constructed using the 1,681 in whom data were complete. Ten clinical, pathologic, and treatment variables were built into a nomogram estimating probability of IBTR at 5 and 10 years after BCS. The model was validated for discrimination and calibration using bootstrap resampling. RESULTS The DCIS nomogram for prediction of 5- and 10-year IBTR probabilities demonstrated good calibration and discrimination, with a concordance index of 0.704 (bootstrap corrected, 0.688) and a concordance probability estimate of 0.686. Factors with the greatest influence on risk of IBTR in the model included adjuvant RT or endocrine therapy, age, margin status, number of excisions, and treatment time period. CONCLUSION The DCIS nomogram integrates 10 clinicopathologic variables to provide an individualized risk estimate of IBTR in a woman with DCIS treated with BCS. This tool may assist in individual decision making regarding various treatment options and help avoid over- and undertreatment of noninvasive breast cancer.
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Affiliation(s)
- Udo Rudloff
- Memorial Sloan-Kettering Cancer Center, New York, NY, USA
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20
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Abstract
Ductal carcinoma in situ (DCIS) is a relatively common diagnosis among women undergoing screening mammography. The greatest increases in DCIS incidence have been in non-comedo subtypes of DCIS that are not associated with subsequent invasive cancer. After a 500% increase in DCIS from 1983 to 2003, the incidence of DCIS declined in women aged 50 years and older, whereas the incidence in women younger than age 50 continues to increase. Having undergone mammography is one of the strongest and most prevalent risk factors associated with a diagnosis of DCIS. Other risk factors for DCIS are similar to that for invasive cancer including increasing age, family history of breast cancer, high mammographic breast density, and postmenopausal hormone therapy use. Treatment for DCIS is relatively aggressive with the use of both surgery and radiation therapy and most recently adjuvant hormonal therapy. Breast cancer mortality is low and similar with all types of treatment. New information regarding incidence of DCIS and subtypes of DCIS according to frequency of mammography and risk factors could lead to insights into the biology of DCIS.
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MESH Headings
- Adult
- Age Distribution
- Aged
- Aged, 80 and over
- Breast Neoplasms/epidemiology
- Breast Neoplasms/therapy
- Carcinoma, Ductal, Breast/epidemiology
- Carcinoma, Intraductal, Noninfiltrating/classification
- Carcinoma, Intraductal, Noninfiltrating/epidemiology
- Carcinoma, Intraductal, Noninfiltrating/therapy
- Chemotherapy, Adjuvant/statistics & numerical data
- Combined Modality Therapy
- Female
- Hormone Replacement Therapy/adverse effects
- Humans
- Incidence
- Mammography
- Mastectomy/classification
- Mastectomy/statistics & numerical data
- Menopause
- Middle Aged
- Morbidity/trends
- Racial Groups/statistics & numerical data
- Radiotherapy, Adjuvant/statistics & numerical data
- Risk Factors
- SEER Program/statistics & numerical data
- United States/epidemiology
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Affiliation(s)
- Karla Kerlikowske
- General Internal Medicine Section, San Francisco Veterans Affairs Medical Center, University of California, San Francisco, 4150 Clement St, 111A1, San Francisco, CA 94121, USA.
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Abstract
Mammography remains the mainstay of breast cancer screening. There is little controversy that mammography reduces the risk of dying from breast cancer by about 23% among women between the ages of 50 and 69 years, although the harms associated with false-positive results and overdiagnosis limit the net benefit of mammography. Women in their 70s may have a small benefit from screening mammography, but overdiagnosis increases in this age group as do competing causes of death. While new data support a 16% reduction in breast cancer mortality for 40- to 49-year-old women after 10 years of screening, the net benefit is less compelling in part because of the lower incidence of breast cancer in this age group and because mammography is less sensitive and specific in women younger than 50 years. Digital mammography is more sensitive than film mammography in young women with similar specificity, but no improvements in breast cancer outcomes have been demonstrated. Magnetic resonance imaging may benefit the highest risk women. Randomized trials suggest that self-breast examination does more harm than good. Primary prevention with currently approved medications will have a negligible effect on breast cancer incidence. Public health efforts aimed at increasing mammography screening rates, promoting regular exercise in all women, maintaining a healthy weight, limiting alcohol intake, and limiting postmenopausal hormone therapy may help to continue the recent trend of lower breast cancer incidence and mortality among American women.
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Affiliation(s)
- Jeffrey A Tice
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, 1701 Divisadero Street, Suite 554, San Francisco, CA 94143-1732, USA.
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22
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Abstract
The impact of improved treatments for the management of hormone-sensitive breast cancer extends beyond clinical responses. Thanks to appropriate literature and access to the internet, patient awareness of treatment options has grown and patients are now, in many cases, able to engage their oncologists in informed conversations regarding treatment and what to expect in terms of efficacy and safety. Indeed, patients realize that although there is no cure for metastatic disease, treatment can greatly reduce the risk of progression and in the adjuvant setting, where treatment is administered with a curative intent, current treatment options reduce the risk of relapse. The approval of letrozole throughout the breast cancer continuum has provided patients with many reassuring options. The improvement in outcome with letrozole is achieved without a detrimental effect on overall quality of life. Adverse events such as hot flushes, arthralgia, vaginal dryness, and potential osteoporosis are most significant from the patient's perspective, and it is important that caregivers pay attention to patients experiencing these events, as they can impact compliance unless effectively explained and managed. The major benefits of letrozole are to improve prospects for long-term survivorship in the adjuvant setting and to delay progression and the need for chemotherapy in the metastatic setting.
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Affiliation(s)
- Nadia Harbeck
- Frauenklinik der Technischen Universität München, Ismaninger Strasse 22, Münich, 81675 Germany
| | - Renate Haidinger
- Frauenklinik der Technischen Universität München, Ismaninger Strasse 22, Münich, 81675 Germany
- Brustkrebs Deutschland e.V., Charles-de-Gaulle-Str. 6, Münich, 81737 Germany
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Esserman LJ, Kumar AS, Herrera AF, Leung J, Au A, Chen YY, Moore DH, Chen DF, Hellawell J, Wolverton D, Hwang ES, Hylton NM. Magnetic resonance imaging captures the biology of ductal carcinoma in situ. J Clin Oncol 2006; 24:4603-10. [PMID: 17008702 PMCID: PMC4087112 DOI: 10.1200/jco.2005.04.5518] [Citation(s) in RCA: 96] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
PURPOSE Magnetic resonance imaging (MRI) is an important tool for characterizing invasive breast cancer but has proven to be more challenging in the setting of ductal carcinoma in situ (DCIS). We investigated whether MRI features of DCIS reflect differences in biology and pathology. PATIENTS AND METHODS Forty five of 100 patients with biopsy-proven DCIS who underwent MRI and had sufficient tissue to be characterized by pathologic (nuclear grade, presence of comedo necrosis, size, and density of disease) and immunohistochemical (IHC) findings (proliferation, Ki67; angiogenesis, CD34; and inflammation, CD68). Pathology and MRI features (enhancement patterns, distribution, size, and density) were analyzed using pairwise and canonical correlations. RESULTS Histopathologic and IHC variables correlated with MRI features (r = 0.73). The correlation was largely due to size, density (by either MRI or pathology), and inflammation (P < .05). Most small focal masses were estrogen receptor-positive. MRI enhancement patterns that were clumped were more likely than heterogeneous patterns to be high-grade lesions. Homogenous lesions were large, high grade, and rich in macrophages. Presence of comedo necrosis and size could be distinguished on MRI (P < .05). MRI was most likely to over-represent the size of less dense, diffuse DCIS lesions. CONCLUSION The heterogeneous presentation of DCIS on MRI reflects underlying histopathologic differences.
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Affiliation(s)
- Laura J Esserman
- Department of Surgery, University of California, San Francisco, USA.
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